Updated on 2024/10/10

写真a

 
OGAI, Harutoshi
 
Affiliation
Faculty of Science and Engineering
Job title
Professor Emeritus
Degree
博士(工学) ( 東京工業大学 )
Doctor(Engineering) ( Tokyo Institute Technology )

Professional Memberships

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    情報処理学会

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    メディア情報学会

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    人工知能学会

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    塑性加工学会

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    電気学会

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    日本鉄鋼協会

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    システム制御情報学会

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    計測自動制御学会

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    自動車技術会

▼display all

Research Areas

  • Environmental load reduction and remediation / Database / Chemical reaction and process system engineering / Safety engineering / Social systems engineering

Research Interests

  • プロセス制御、プロセス情報処理、情報検索、可視化情報学、環境保全技術、人間生活環境、鉄鋼プロセス制御、微生物制御、廃棄物処理、プロセスモデリング、プロセス解析、橋梁診断、センサーネットワーク、照明制御、自動車エンジン制御、自動車走行制御

Awards

  • 計測自動制御学会論文賞

    2010.08  

  • 鉄鋼協会 計測・制御・システム部門研究賞

    2004.09  

  • 鉄鋼協会 計測・制御・システム部門研究賞

    1998.09  

  • 計測自動制御学会技術賞

    1992.08  

  • 日本塑性加工学会会田技術賞

    1992.06  

 

Papers

  • A Novel Bridge Damage Diagnosis Algorithm Based on Deep Learning with Gray Relational Analysis for Intelligent Bridge Monitoring System

    Haitao Xiao, Wenjie Wang, Limeng Dong, Harutoshi Ogai

    IEEJ Transactions on Electrical and Electronic Engineering   16 ( 5 ) 730 - 742  2021.05

     View Summary

    In recent years, intelligent structural damage diagnosis algorithms using machine learning have achieved much success. However, because of the fact that in real bridge applications, the working environment (load, temperature, and noise) is changing all the time, degradation of the performance of intelligent structural damage diagnosis methods is very serious. To address these problems, a novel bridge diagnosis algorithm based on deep learning is proposed. Our contributions include: First, we proposed an improved denoising auto-encoder-based deep neural networks, which is optimized by the gray relational analysis. It is able to automatically extract high-level features from raw signals via a multi-layer extraction to satisfy any damage diagnosis objective and thus does not need any time consuming denoising prepossessing. The model can achieve high accuracy under noisy environment. Second, the algorithm does not rely on any domain adaptation algorithm or require information of the target domain. It can achieve high accuracy when working environment is changed. Numerical simulations and experimental investigations on real bridges conducted to present the accuracy and efficiency of the proposed algorithm, comparing with other commonly machine learning-based algorithms. The result shows it is deemed as an ideal and effective method for damage diagnosis of bridge structures. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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    4
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  • Conditional maximum likelihood identification for state space system

    Luo Xiao, Harutoshi Ogai, Wang Jianhong, Ricardo A.Ramirez Mendoza

    Mechatronic Systems and Control   49 ( 1 ) 1 - 8  2021.01

     View Summary

    In this paper, we investigate the use of conditional maximum likelihood identification in the context of identifying one general state space system, being parametrized by one unknown parameter vector. The process of modifying the common state space system into our general form is presented, and the traditional negative log-likelihood function for identifying unknown parameter vector is constructed with only observed output variables. To combine state variables and output variables simultaneously, the conditional maximum likelihood estimate based on the conditional probability density and the total probability theorem is proposed here. Further, when the prior distribution of that parameter vector is flat, we continue to obtain the joint maximum a posteriori estimate. To maximize a negative log-likelihood function, the classical Robbins- Monro algorithm from stochastic approximation theory is applied to avoid the computation of the second-order derivative of conditional likelihood function.

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  • Tactical Decision-Making for Autonomous Driving Using Dueling Double Deep Q Network with Double Attention

    Shuwei Zhang, Yutian Wu, Harutoshi Ogai, Hiroshi Inujima, Shigeyuki Tateno

    IEEE Access   9   151983 - 151992  2021

     View Summary

    Decision-making is still a significant challenge to realize fully autonomous driving. Using deep reinforcement learning (DRL) to solve autonomous driving decision-making problems is a recent trend. A common method is to encode surrounding vehicles in a grid to describe the state space to help DRL network extract the scene features. However, in the process of human driving, surrounding vehicles at different positions have different contributions to decision-making. Meanwhile, the network is difficult to fully extract useful features in a sparse state, which can also lead to catastrophic actions. Therefore, this work proposes a spatial attention module to calculate different weights to represent different contributions to decision-making results. And a channel attention module is proposed to fully extract useful features in sparse state features. These two attention modules are integrated into dueling double deep Q network, named D3QN-DA, as a high-level decision-maker of a hierarchical hierarchical control structure based decision-making system. To improve agent performance, an emergency safe checker is introduced in this system. And the agent is trained and test with a designed reward function from safety and efficiency in simulation. The experimental results show that the proposed method increases the safety rate by 54%, and the average explore distance by 30%, which is safer and more intelligent for the decision-making process of automatic driving.

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    17
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  • Quasi-Linear SVM with Local Offsets for High-dimensional Imbalanced Data Classification

    Li Yanze, Harutoshi Ogai

    2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020     882 - 887  2020.09

     View Summary

    Imbalanced problems often occur in the classification problem. A special case is within-class imbalance, which worsen the imbalance distribution problem and increase the learning concept complexity. Most methods for solving imbalanced data classification focus on finding a globe boundary to solve between-class imbalance problem. My thesis proposes a effective quasi-linear network with local offsets adjustment for imbalanced classification problems. First, we proposed a gated piecewise linear network, an autoencoder-based partitioning method is modified for imbalanced datasets to divide input space into multiple linearly separable partitions along the potential separation boundary. Construct a quasi-linear SVM based on the gated signal that obtained by autoencoder partitioning information. Then training a neural network that let F-score as loss function to generate the local offsets on each local cluster. Finally a quasi-linear SVM classifier with local offsets is constructed for the imbalanced datasets. Our proposed method avoids calculating Euclidean distance, so it can be applied to high dimensional datasets. Simulation results on different real world datasets that our method is effective for imbalanced data classification especially in high-dimensional data.

  • Spatial Attention for Autonomous Decision-making in Highway Scene

    Shuwei Zhang, Yutian Wu, Harutoshi Ogai

    2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020     1435 - 1440  2020.09

     View Summary

    Automated decision making is still a significant challenge to realize fully autonomous driving. A common method that encoding surrounding vehicles in a grid map is used to describe observation space for decision making algorithm. It preserves vehicles spatial characteristics. But commonly in human driving, distinct position and speed surrounding vehicles contribute differently to make decision. We introduce a spatial attention module to calculate weights for each vehicle and integrate the attention mechanism into Deep Q network to make decision actions. The agent, ego vehicle, is trained in a simulated highway environment. Simulation results show the proposed method can get significant performance gains compared with other deep reinforcement learning methods by using two kinds of metrics.

  • Realtime Single-Shot Refinement Neural Network for 3D Obejct Detection from LiDAR Point Cloud

    Yutian Wu, Harutoshi Ogai

    2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020     332 - 337  2020.09

     View Summary

    3D object detection from point cloud is an important aspect of environmental perception in intelligent systems such as autonomous driving systems and robot systems. However, efficient 3D feature extraction and accurate object localization is challenging for current algorithms. In this paper, we introduce a new single-shot refinement neural network for fast and accurate 3D object detection. Firstly, we simplify the 3D feature extraction network and use single-shot object detector to increase processing speed. Secondly, we exploit self-attention mechanism in main object detection branch to improve object feature representation. Thirdly, an object refinement branch is introduced to produce a finer regression of objects upon the primary estimation from the main detection branch. Both modifications lead to further improvements in performance without additional computational cost. Our approach is tested on KITTI 3D Car detection benchmark and achieves good results in the validation set. The running speed is around 40 frame per second.

  • Fast damage detection using max-peak and max-peak-time for PC box girder in vibration experiment

    Xiong Fei Ye, Chul Woo Kim, Harutoshi Ogai

    Measurement: Journal of the International Measurement Confederation   151  2020.02

     View Summary

    Dynamic features are often used for structural damage diagnosis. Besides the features from the modal analysis, some other features describing the wave propagation in the structure are usually concerned, like the wave's intensity, speed, etc. In the data processing of experiment on the pre-stressed concrete (PC) box girders with artificial damages, the max-peak and max-peak-time, two of the basic features of time series will be investigated and analyzed in reconstruction combination matrices to investigate the global information of the update of structural status respectively, which are corresponding to the speed and intensity of the wave propagation separately. In all stages of vibration experiment, curve of distance/2-D correlation coefficient of the max-peak-time and max-peak matrices can have very clear tendencies to demonstrate the global damage happened in the PC box girder, which are better than some modal features in modal analysis using the same original data.

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  • An enhanced feature pyramid object detection network for autonomous driving

    Yutian Wu, Shuming Tang, Shuwei Zhang, Harutoshi Ogai

    Applied Sciences (Switzerland)   9 ( 20 )  2019.10

     View Summary

    Feature Pyramid Network (FPN) builds a high-level semantic feature pyramid and detects objects of different scales in corresponding pyramid levels. Usually, features within the same pyramid levels have the same weight for subsequent object detection, which ignores the feature requirements of different scale objects. As we know, for most detection networks, it is hard to detect small objects and occluded objects because there is little information to exploit. To solve the above problems, we propose an Enhanced Feature Pyramid Object Detection Network (EFPN), which innovatively constructs an enhanced feature extraction subnet and adaptive parallel detection subnet. Enhanced feature extraction subnet introduces Feature Weight Module (FWM) to enhance pyramid features by weighting the fusion feature map. Adaptive parallel detection subnet introduces Adaptive Context Expansion (ACE) and Parallel Detection Branch (PDB). ACE aims to generate the features of adaptively enlarged object context region and original region. PDB predicts classification and regression results separately with the two features. Experiments showed that EFPN outperforms FPN in detection accuracy on Pascal VOC and KITTI datasets. Furthermore, the performance of EFPN meets the real-time requirements of autonomous driving systems.

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    20
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  • Hierarchical probability and risk assessment for K-out-of-N system in hierarchy

    Xiong Fei Ye, Yi Zhang, Ogai Harutoshi, Chul Woo Kim

    Reliability Engineering and System Safety   189   242 - 260  2019.09

     View Summary

    In this research, the model of hierarchical structure from universe theory is imported into the general probability system which helps logically and subordinately describing, measuring, and evaluating the hierarchical probabilistic system. To clearly classify the hierarchy, “fayer” is proposed as the unit of hierarchy. Then, discussions on the relationship between hierarchy and system-of-systems and the risks caused by the hierarchy are proposed. This paper divides the problems of hierarchical probability mainly into two classes: the problems of surviving ratio and problems of passing ratio, and also, mixed problems of surviving ratio and passing ratio. Simultaneously, the surviving ratio is called as reliability. System reliability is one marked kind of hierarchical probability for the risk assessment of the hierarchical system. This paper introduces a new reliability system, P-out-of-1 system, which is derived from the K-out-of-N systems in hierarchy. The hierarchical reliability calculation of every fayer of the P-out-of-1 system is different from other fayers. Furthermore, the risk assessment of the hierarchical system for decision making of one maintenance manifests many differences by different descriptions in different fayers, even these descriptions concentrate on the same system.

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  • Design and Development of a New Active Slider Crank Mechanism Based Step Climbing Wheelchair

    Nayan Jyoti Baishya, Harutoshi Ogai, Bishakh Bhattacharya

    2019 12th Asian Control Conference, ASCC 2019     271 - 276  2019.06

     View Summary

    In this paper, a novel, inexpensive and reliable stair climbing wheelchair mechanism is proposed. Large variation in inclination angle of a traditional wheelchair while moving on steps posses high risk to the rider's safety. A new active Slider-crank mechanism is used to minimize any variation in inclination angle of the wheelchair during climbing up or down on stairs. This, in-turn, reduces the risk of wheelchair toppling on steps. Kinematic model of the proposed wheelchair is developed and MATLAB simulations are performed to inspect the behavior of wheelchair on stairs. In addition, the mechanism is designed in such a way that the rider can sit towards the motion direction, which adds additional safety to the rider. It is envisaged that the novel step climbing wheelchair will enhance the mobility of the elderly people significantly.

  • Fast lane detection based on deep convolutional neural network and automatic training data labeling

    Xun Pan, Harutoshi Ogai

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences   E102A ( 3 ) 566 - 575  2019.03

     View Summary

    Lane detection or road detection is one of the key features of autonomous driving. In computer vision area, it is still a very challenging target since there are various types of road scenarios which require a very high robustness of the algorithm. And considering the rather high speed of the vehicles, high efficiency is also a very important requirement for practicable application of autonomous driving. In this paper, we propose a deep convolution neural network based lane detection method, which consider the lane detection task as a pixel level segmentation of the lane markings. We also propose an automatic training data generating method, which can significantly reduce the effort of the training phase. Experiment proves that our method can achieve high accuracy for various road scenes in real-time.

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    3
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  • Flow analysis and damage assessment for concrete box girder based on flow characteristics

    Xiong Fei Ye, Kai Chun Chang, Chul Woo Kim, Harutoshi Ogai, Yoshinobu Oshima, O. S.Luna Vera

    Sustainability (Switzerland)   11 ( 3 )  2019.01

     View Summary

    For a system such as the concrete structure, flow can be the dynamic field to describe the motion, interactions, or both in dynamic or static (Eulerian description) states. Further, various kinds of flow propagate through it from the very start to the end of its lifecycle (Lagrangian description) accompanied by rains, winds, earthquakes, and so forth. Meanwhile, damage may occur inside the structure synchronously, developing from micro- to macro-scale damage, and eventually destroy the structure. This study was conducted to clarify the content of flow which has been implicitly used in the damage detection, and to propose a flow analysis framework based on the combination data space and the theory of dissipative structure theory specifically for nondestructive examination in structural damage detection, which can theoretically standardize the mechanism by which flow characteristics vary, the motion of the structure, or the swarm behavior of substructures in engineering. In this paper, a destructive experiment (static loading experiment) and a following nondestructive experiment (impact hammer experiment) were conducted. According to the experimental data analysis, the changing of flow characteristics shows high sensitivity and efficient precision to distinguish the damage exacerbations in a structure. According to different levels of interaction (intensity) with the structure, the information flow can be divided into two categories: Destructive flow and nondestructive flow. The method used in this research is named as a method of "flow analysis based on flow characteristics", i.e., "FC-based flow analysis".

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    2
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  • Offset-free model predictive control of diesel engine by combined design of disturbance model and observer

    Ge Yu, Harutoshi Ogai, Haoyang Deng

    IEEJ Transactions on Electrical and Electronic Engineering   14 ( 1 ) 116 - 129  2019.01

     View Summary

    The diesel engine is a typical multi-input multi-output system with strong couplings, actuator constraints, and fast dynamics. The control objective is to operate the engine to meet driver's speed demand and reduce exhaust emissions of nitrogen oxides during transient processes. Interactions between the actuators and nonlinear behavior of the system make the problem difficult to handle using classical control design methods. Therefore, we propose an offset-free model predictive control system in this paper. It is based on the combined design integrating the disturbance model and the state observer. Furthermore, the method of reduced-order design for H∞ problem is addressed. The proposed approach has low computation requirement and is suitable for implementation in the engine control unit on board. The application of this system in a continuous working process by using dSPACE MicroAutoBox verifies its feasibility and effectiveness for achieving precise reference tracking of engine speed and reducing emissions. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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    2
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  • Automatic Training Data Generation Method for Pixel-Level Road Lane Segmentation

    Xun Pan, Yutian Wu, Harutoshi Ogai

    Advances in Intelligent Systems and Computing   834   473 - 481  2019

     View Summary

    Lane detection or road detection is one of the key features of autonomous driving. By using deep convolutional neural network based semantic segmentation, we can build models with high accuracy and robustness. However, training a pixel-level semantic segmentation needs very fine-labeled training data, which requires large amount of labor. In this paper, we propose an automatic training data generating method, which can significantly reduce the effort of the training phase. Experiments prove that our method can generate high-quality training data for lane segmentation task.

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    1
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  • Discrepancy Analysis of Load–Displacement in the Combination Space for Concrete Box Girder Assessment

    X. F. Ye, H. Ogai, C. W. Kim

    Strength of Materials   50 ( 5 ) 695 - 701  2018.09

     View Summary

    The combination space concept had its origin in the theory of subspace and combinatorics. The combination space may be treated as the space reconstruction through combination, as well as the subspace one. Several new analytical methods are proposed based on combination principles applied to some operations. Under progressing structural damage, simple raw data cannot adequately characterize continuously changing processes and provide early prevention of considerable damage or loss of resistance to hazardous failure. Therefore, the data need to be further processed to find new criteria and factors of damage assessment. Three evaluation methods were experimentally established with the combination space. For the damage assessment and its early prevention, some factors are also proposed such that the combination space method can find the structural change earlier than the original data space. In the case of the the disparity between different conditions and the initial state, this method can contribute to the structure recovery, preventing its failure.

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    1
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  • Extended Guaranteed Cost Control of Diesel Engine via LMI Approach

    Ge Yu, Harutoshi Ogai, Haoyang Deng

    IEEJ Transactions on Electrical and Electronic Engineering   13 ( 3 ) 496 - 504  2018.03

     View Summary

    This paper presents a control design method for a nonlinear diesel engine system with strong couplings and actuator constraints. The performance goal is to track the reference of engine speed and reduce exhaust emission of nitrogen oxides (NOx) during transient process. Combustion uncertainties and nonlinear behavior of the system make the problem difficult to handle using classical control design methods. Instead, we propose the extended guaranteed cost control system. The models used for controller design are developed by the state-space format with parameter uncertainties. Exponential stability for the systems is studied. The control laws and observer gains are given from feasible solution of the augmented linear matrix inequality (LMI) to ensure that the cost function value is not more than a specified upper bound for all admissible uncertainties. The proposed approach has low computation requirement and is suitable for implementation in the on board. engine control unit The application of this system in a continuous working process by using dSPACE MicroAutoBox verified its feasibility and effectiveness. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

    DOI

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    2
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  • Wa-Chair: A concept for development of economical stair-climbing wheelchair

    Nayan Jyoti Baishya, Harutoshi Ogai

    IOP Conference Series: Materials Science and Engineering   307 ( 1 )  2018.02

     View Summary

    In this paper, a concept for development of cost effective and reliable stair climbing wheelchair is being proposed. Slider-crank mechanism is being used to compensate for any variation in inclination angle of the wheelchair during ascent or descent on stairs. Controlling wheelchair's inclination angle can reduce risk for the rider as it prevents the wheelchair from toppling. A prototype is being developed to validate proposed mechanism. Proposed mechanism allows rider to view in the direction of progress which adds additional safety to the rider.

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  • A novel video detection design based on modified adaboost algorithm and HSV model

    Xiao Luo, Huatao Zhao, Harutoshi Ogai, Chen Zhu

    Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017     2328 - 2331  2017.09

     View Summary

    In modern traffic systems, accurate video detection is a key challenge for traffic management. Aiming at the problem of public bus detection, this paper proposes a video detection method to well recognize the buses. Firstly, we employ the foreground detection method to find the moving vehicles. And then a training classifier which consists of the improved Adaboost algorithm and Haar-like features is proposed to filter undesired vehicles. Secondly, we use the Canny operator to locate bus characteristics, and further detect the bus with the modified HSV model. This design is tested on the Visual Stadio and OpenCV platform in which load the urban transport data as the samples. The test results show that our detection method has better robustness than both three-frame differential method and hybrid Gaussian method, and the accuracy of detection on the window positioning is more than 93 percent.

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    2
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  • Real-time daylight modeling method for lighting systems based on RBFNN

    Wa Si, Xun Pan, Harutoshi Ogai

    ACM International Conference Proceeding Series   127852   318 - 325  2017.02

     View Summary

    Daylight harvesting has great potential of energy saving by utilizing daylight in buildings, and the accuracy of daylight data is essential to realize daylight harvesting in lighting control systems. This paper proposes a modified RBFNN structure for daylight modeling and presents a Real-time Daylight Modeling (RTDM) method, which needs only a few illumination sensors for real-time modeling of daylight. The method uses real-time sensor data to regulate a pre-stored RBFNN (which represents the relationship between position and daylight illuminance in one scenario of daylight) to calculate real-time daylight illuminance inside the room. Simulations in a middle-sized office model show that: 1) RTDM can realize real-time daylight modeling with higher accuracy compared with existing modeling methods
    2) lighting control system using RTDM can save considerable energy by daylight harvesting.

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  • Fast road detection based on a dual-stage structure

    Xun Pan, Wa Si, Harutoshi Ogai

    ACM International Conference Proceeding Series   127852   155 - 162  2017.02

     View Summary

    Road detection is an important research subject in autonomous driving. Both accuracy and efficiency are very important for road detection used in autonomous driving systems. However, these two properties are usually contradictory under certain calculation resources. In this paper, we make a good compromise between accuracy and efficiency by proposing a dual-stage detecting strategy, which consists of a fast Hough transform based road detection method and a reliable vanishing point based method. A dynamic region of interest (ROI) is proposed as a connector of the two stages. Experiments prove that our method can achieve good performance on both accuracy and efficiency.

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    2
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  • LP guided PSO algorithm for office lighting control

    Wa Si, Xun Pan, Harutoshi Ogai, Katsumi Hirai

    IEICE Transactions on Information and Systems   E99D ( 7 ) 1753 - 1761  2016.07

     View Summary

    In most existing centralized lighting control systems, the lighting control problem (LCP) is reformulated as a constrained minimization problem and solved by linear programming (LP). However, in realworld applications, LCP is actually discrete and non-linear, which means that more accurate algorithm may be applied to achieve improvements in energy saving. In this paper, particle swarm optimization (PSO) is successfully applied for office lighting control and a linear programming guided particle swarm optimization (LPPSO) algorithm is developed to achieve considerable energy saving while satisfying users' lighting preference. Simulations in DIALux office models (one with small number of lamps and one with large number of lamps) are made and analyzed using the proposed control algorithms. Comparison with other widely used methods including LP shows that LPPSO can always achieve higher energy saving than other lighting control methods.

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    1
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  • Fast vanishing point estimation based on particle swarm optimization

    Xun Pan, Wa Si, Harutoshi Ogai

    IEICE Transactions on Information and Systems   E99D ( 2 ) 505 - 513  2016.02

     View Summary

    Vanishing point estimation is an important issue for vision based road detection, especially in unstructured roads. However, most of the existing methods suffer from the long calculating time. This paper focuses on improving the efficiency of vanishing point estimation by using a heuristic voting method based on particle swarm optimization (PSO). Experiments prove that with our proposed method, the efficiency of vanishing point estimation is significantly improved with almost no loss in accuracy. Moreover, for sequenced images, this method is further improved and can get even better performance, by making full use of inter-frame information to optimize the performance of PSO.

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    2
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  • Study on HVAC System Performance Simulator based on Coupled Simulation of the Integrated Energy Simulation Tool and CFD Analysis Part2. Study on the Coupled Simulation Integrating Feed-forward Control System for Disturbance Attenuation

    Techinical Papers of Annual Meeting the Society of Heating,Air-conditioning and Sanitary Engineers of Japan   2016 ( 0 ) 201 - 204  2016

    DOI CiNii

  • Autonomous Navigation Pipe Robot With Infrared Sensors

    GU ZHUOCHAO, Ogai Harutoshi, TANG ZHIQIANG

    Proceedings of the Japan Joint Automatic Control Conference   59 ( 0 ) 310 - 315  2016

     View Summary

    <p>Pipeline has been widely used as important facilities for the transportation of various industrial raw materials, there will have leakage and broken parts in pipeline, generally, pipeline was set under the ground, it is difficult for human to detect and repair it; In this paper, it introduce a new type pipeline robot with small size, so it can be used in pipeline which has small diameter and running flexibility; At the same time, the robot has been installed with automatic operation system which based on infrared distance sensor, robot can make a judgment of pipeline condition and running automatically, it doesn't need any instructions from operator.</p>

    CiNii

  • Real-time Obstacle detection system by using stereo vision and block matching algorithm base on guided image filtering forAutonomous driving

    Zhao Yunpeng, Wang Xixun, OGAI Harutoshi

    Proceedings of the Japan Joint Automatic Control Conference   59 ( 0 ) 18 - 23  2016

     View Summary

    <p>This paper describes a system of obstacle detection used by improved block matching by Guided image filtering based on in-vehicle stereo camera.This obstacle detection system can be used to finding car and person and other things on road aromatically.Thereby, it provide a method for autonomous driving which applicable to the Eco-drive automation.In addition,it can solve the problem of the traffic accident and energy crisis.In the paper,guided image filtering be used to the real-time obstacle detection system for getting the better result in fog application.This system can transform the data of obstacle to the car controller in real-time and the controller can do something to avoid the traffic accident.This paper also describes the experiment and the result in the driving school.</p>

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  • A Novel Lambertian-RBFNN for Office Light Modeling

    SI Wa, PAN Xun, OGAI Harutoshi, HIRAI Katsumi

    IEICE Transactions on Information and Systems   99 ( 7 ) 1742 - 1752  2016

     View Summary

    In lighting control systems, accurate data of artificial light (lighting coefficients) are essential for the illumination control accuracy and energy saving efficiency. This research proposes a novel Lambertian-Radial Basis Function Neural Network (L-RBFNN) to realize modeling of both lighting coefficients and the illumination environment for an office. By adding a Lambertian neuron to represent the rough theoretical illuminance distribution of the lamp and modifying RBF neurons to regulate the distribution shape, L-RBFNN successfully solves the instability problem of conventional RBFNN and achieves higher modeling accuracy. Simulations of both single-light modeling and multiple-light modeling are made and compared with other methods such as Lambertian function, cubic spline interpolation and conventional RBFNN. The results prove that: 1) L-RBFNN is a successful modeling method for artificial light with imperceptible modeling error; 2) Compared with other existing methods, L-RBFNN can provide better performance with lower modeling error; 3) The number of training sensors can be reduced to be the same with the number of lamps, thus making the modeling method easier to apply in real-world lighting systems.

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    1
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  • LP Guided PSO Algorithm for Office Lighting Control

    SI Wa, PAN Xun, OGAI Harutoshi, HIRAI Katsumi

    IEICE Transactions on Information and Systems   99 ( 7 ) 1753 - 1761  2016

     View Summary

    In most existing centralized lighting control systems, the lighting control problem (LCP) is reformulated as a constrained minimization problem and solved by linear programming (LP). However, in real-world applications, LCP is actually discrete and non-linear, which means that more accurate algorithm may be applied to achieve improvements in energy saving. In this paper, particle swarm optimization (PSO) is successfully applied for office lighting control and a linear programming guided particle swarm optimization (LPPSO) algorithm is developed to achieve considerable energy saving while satisfying users lighting preference. Simulations in DIALux office models (one with small number of lamps and one with large number of lamps) are made and analyzed using the proposed control algorithms. Comparison with other widely used methods including LP shows that LPPSO can always achieve higher energy saving than other lighting control methods.

    CiNii

  • Fast Vanishing Point Estimation Based on Particle Swarm Optimization

    PAN Xun, SI Wa, OGAI Harutoshi

    IEICE Transactions on Information and Systems   99 ( 2 ) 505 - 513  2016

     View Summary

    Vanishing point estimation is an important issue for vision based road detection, especially in unstructured roads. However, most of the existing methods suffer from the long calculating time. This paper focuses on improving the efficiency of vanishing point estimation by using a heuristic voting method based on particle swarm optimization (PSO). Experiments prove that with our proposed method, the efficiency of vanishing point estimation is significantly improved with almost no loss in accuracy. Moreover, for sequenced images, this method is further improved and can get even better performance, by making full use of inter-frame information to optimize the performance of PSO.

    CiNii

  • Improvement for large scale database-based online modelling of melting furnace

    Yu, Chunlin, Ogai, Harutoshi, Tanaka, Norihiro, Furuya, Hidehiko, Akaike, Yuhei

    IFAC Proceedings Volumes (IFAC-PapersOnline)   48 ( 17 ) 28 - 32  2015.07

     View Summary

    © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. Recently, attention has been drawn by the local modeling techniques of an idea called "Just-In-Time (JIT) modeling". To apply "JIT modeling" to a large amount of database online, "Large-scale database-based Online modelling (LOM)" has been proposed. LOM is a technique that makes the retrieval of neighboring data more efficient by using stepwise method and quantization. This paper reports the improvement of LOM, a computerized sequential prediction method which uses a local regression model by PLS, on the shaft-furnace direct melting system (melting furnace). The gas temperature prediction of the furnace is done without delay.

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  • A Novel Bridge Structure Damage Diagnosis Algorithm Based on Post-Nonlinear ICA and Statistical Pattern Recognition

    Haitao Xiao, Sheng Lou, Harutoshi Ogai

    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING   10 ( 3 ) 287 - 300  2015.05  [Refereed]

     View Summary

    Monitoring the health of bridges and diagnosing the damage is vital for government and related institutions in Japan because of frequent earthquakes and the oceanic climate. This paper develops a bridge structure health monitoring system (BSHM), which includes data acquisition and analysis. A two-stage structure damage detection algorithm based on post-nonlinear independent component analysis (ICA) and statistical pattern recognition is proposed to analyze the acquired data and evaluate the health of bridges. First, an improved post-nonlinear ICA algorithm is proposed for denoising, and a data-sample matching based data normalization scheme to reduce the effect of varying environmental and operational condition. Thereafter, fast Fourier transform (FFT) is used to detect the damage. Based on the first stage, a statistical pattern recognition damage detection algorithm, including a new damage sensitive index D-SPR, is proposed to determine the severity and location(s) of damage. In addition to the algorithm, this paper presents several simulations and experiments, including a detection experiment that applies artificial damage to a real bridge to show that our design choices are indeed effective. (c) 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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    4
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  • A New Standing-Wave Testing System for Bridge Structure Nondestructive Damage Detection Using Electromagnetic Wave

    Haitao Xiao, Jianan Qin, Harutoshi Ogai, Xiuchen Jiang

    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING   10 ( 2 ) 157 - 165  2015.03  [Refereed]

     View Summary

    Several data analysis algorithms exist for detecting damages in bridges; however, such algorithms only approximately locate the damaged areas. To increase the accuracy and sensitivity, a new nondestructive, standing-wave, bridge-testing system as well as algorithm is proposed. The proposed system sends 3.8-5.8 GHz modulated sweeping waves to an object, the input and reflected waves form a standing wave, which is used to check and evaluate the state of the object under examination. In comparison with other systems, the proposed system is compact and less expensive, and offers higher sensitivity, higher resolution, and higher accuracy. Simulations and experiments verified its effectiveness. (c) 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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    4
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  • Estimation of Degree of Human Fatigue Score by Defined Data Distance in Large-Scale Data-Based Online Modeling

    Hachiya Yuriko, Ogawa Masatoshi, Kawanari Sho, Suzuki Hideaki, Ogai Harutoshi

    Journal of Signal Processing   19 ( 6 ) 243 - 252  2015

     View Summary

    It is important to quantify and prevent mental fatigue in order to forestall absence from work and death from overwork. In this study, we used "Large-scale Data-based Online Modeling (LOM)", one of the local modeling methods based on databases, to reproduce the characteristics of fatigue based on information derived from observation of biomedical signs. The subjects in our study were 10 male university students.After assuming a relaxed seated position for 10 minutes, they performed two repeated sessions of a mental arithmetic task for 30 minutes each session with a 30-minute break. Subjective symptoms of feelings of fatigue score were evaluated on a 10-point scale. We measured several biomedical signs and subjective symptoms of feelings of fatigue score. We propose that it is possible to estimate the degree of acute mental fatigue from biomedical signs using the LOM method. We propose a method for determining the reliability of estimating "degree of fatigue" by distance of neighboring data.

    CiNii

  • Vehicle to Vehicle Communication and Platooning for EV with Wireless Sensor Network

    Siyang Zhao, Tianshou Zhang, Nan Wu, Harutoshi Ogai, Shigeyuki Tateno

    2015 54TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE)     1435 - 1440  2015  [Refereed]

     View Summary

    Driving assistant systems with cameras and sensors are expected as a solution of safe driving, congestion prevention and driving load reduction and vehicle to vehicle (V2V) communication systems that utilize wireless technology has been proposed as an auxiliary system of the existing systems. On the other hand, as long with the increasing of the aging rate of society, traffic accident of seniors become a serious problem to be solved. Smarty automatic driving system has been developed to realize a smarty platooning control system based on the automatic driving system for senior drivers. In this research, an embedded communication system is developed for small automatic electric vehicle, and an algorithm to avoid transmit collision is implemented in the developed system. Based on the vehicle to vehicle communication, a platooning control system including vehicle interruptions and separations is successfully designed. Some experiment results of several platooning patterns for small EV represent the effectiveness of the developed system.

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    9
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  • Multi-frames based Real-time Road Detection Method for Autonomous Vehicle

    Xun Pan, Harutoshi Ogai, Nan Wu

    2015 54TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE)     1429 - 1434  2015  [Refereed]

     View Summary

    Usually we evaluate a certain road detection method from two aspects, the detecting performance and the executing time. Normally there is a compromise between these two criteria. This paper is focused on how to provide a reliable and real-time road detection result for an autonomous vehicle. By using a vanishing point based high reliability detection method for the leading frame and Hough transformation based real-time method for the following frames, we solve the contradiction of the detecting performance and the executing time. In the vanishing point detection, we use Gabor filters to get the texture information of the road and use particle swarm optimization to increase the efficiency.

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    1
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  • Autonomous driving experiments by Small electric vehicle in simulated road

    Nan Wu, Qieshi Zhang, Xun Pan, Hu Beier, Harutoshi Ogai, Sei-ichiro Kamata, Hiroshi Inujima, Shigeyuki Tateno

    2015 54TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE)     1451 - 1452  2015  [Refereed]

     View Summary

    © 2015 The Society of Instrument and Control Engineers-SICE. In the city of Kitakyushu, a quarter more of people are older than 65 years old. Especially a large proportion of elderly people are living on their own. So how to let old people easily access the communal facilities like hospitals need be attended. Therefore, the bad connection between public transportation and home is need to be solved. Based on the survey result and road situation in Kitakyushu city, a new type small single-seat electrical vehicle (sEV) is studied to provide a solution for elder to easily access the public transportation. In this research, low cost and safe automatic driving electrical vehicle based on limited number of sensors is focused.

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  • Small EV autonomous Driving control using wireless handhold device

    Yawenzhao, Nanwu Beier Hu, Gengniu, Harutoshi Ogai, Hiroshi Inujima, Shigeyuki Tateno

    2015 54TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE)     1441 - 1446  2015  [Refereed]

     View Summary

    In this paper, by using the Android mobile terminal, we make a application of performing autonomous driving control small electric car as the target. Small EV car (COMS) is treated as experimental subjects. This application will help the Elderly, driving poor people, fast, accurate to park the car and call the car coming for users easily. Moreover, it is also considered that it becomes possible to inform the vehicle information for users.
    For this study, itintroduce that how making the communication system with the car. Also using Map management tool "Mapinfo" for design the path for a small electric vehicle, for example the path to/from parking place. On top of that, we seek a control method to safely autonomous driving on the basis of the data around the vehicle. Also for other cars and pedestrians traveling the parking lot, we aim to correspond to the safety and smooth.

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  • Illumination Modeling Method for Office Lighting Control by Using RBFNN

    Wa Si, Xun Pan, Harutoshi Ogai, Katsumi Hirai, Noriyoshi Yamauchi, Tansheng Li

    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS   E97D ( 12 ) 3192 - 3200  2014.12  [Refereed]

     View Summary

    This paper represents an illumination modeling method for lighting control which can model the illumination distribution inside office buildings. The algorithm uses data from the illumination sensors to train Radial Basis Function Neural Networks (RBFNN) which can be used to calculate 1) the illuminance contribution from each luminaire to different positions in the office 2) the natural illuminance distribution inside the office. This method can be used to provide detailed illumination contribution from both artificial and natural light sources for lighting control algorithms by using small amount of sensors. Simulations with DIALux are made to prove the feasibility and accuracy of the modeling method.

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    7
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  • Vehicle to vehicle communication and platooning for SEV COMS by wireless sensor network

    Nan Wu, Di Ai, Harutoshi Ogai, Shigeyuki Tateno

    Proceedings of the SICE Annual Conference     566 - 571  2014.10

     View Summary

    © 2014 SICE. With the aging driver increasing, the smarty automatic driving system needs to be proposed. We analyze the smarty automatic driving system to propose a smarty platooning control system based on the automatic driving system for elderly person. Firstly, the small automatic electric vehicle and the control devices are explained. Then we introduce the Wireless communication method in our system. Based on the communication between the vehicles, we design related control method and the path recognize method for platooning control system using in urban road. At last we do some experiments to verify the effectiveness of our system.

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    1
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  • Illumination Modeling Method for Office Lighting Control by Using RBFNN

    SI Wa, PAN Xun, OGAI Harutoshi, HIRAI Katsumi, YAMAUCHI Noriyoshi, LI Tansheng

    IEICE Trans. Inf. & Syst.   97 ( 12 ) 3192 - 3200  2014

     View Summary

    This paper represents an illumination modeling method for lighting control which can model the illumination distribution inside office buildings. The algorithm uses data from the illumination sensors to train Radial Basis Function Neural Networks (RBFNN) which can be used to calculate 1) the illuminance contribution from each luminaire to different positions in the office 2) the natural illuminance distribution inside the office. This method can be used to provide detailed illumination contribution from both artificial and natural light sources for lighting control algorithms by using small amount of sensors. Simulations with DIALux are made to prove the feasibility and accuracy of the modeling method.

    CiNii

  • A Clustering Routing and Coverage Algorithm for WSN Based on Brief Artificial Fish-School Optimization

    Haitao Xiao, Xue Zhao, Harutoshi Ogai

    SENSOR LETTERS   11 ( 4 ) 697 - 703  2013.04  [Refereed]

     View Summary

    This paper describes a novel clustering routing and coverage algorithm, referred as Brief Artificial Fish-School Optimization Clustering Routing and Coverage (BAFSOCRC), for a wireless sensor network. Based on the detailed analysis of the cluster head selection algorithm and the deficiencies of LEACH algorithm, I propose an algorithm based on Brief Artificial Fish-School Optimization (BAFSO). The key point of the clustering routing algorithm is applying BAFSO algorithm. This algorithm can be divided into two parts: The clustering routing algorithm of WSN based on BAFSO (BAFSOCR) and the coverage of WSN based on BAFSO (BAFSOC). In the BAFSOCR, it can achieve the balance of the network energy consumption, improve the energy efficiency and prolong life cycle of the whole network. In the BAFSOC, it can achieve the distribution optimization in a higher speed with a lower cost, and increase the efficiency of the algorithm.

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  • An UHF-Band wireless power transfer system for structural health monitoring sensor network

    Tansheng Li

    IEICE Communications Express   2 ( 2 ) 55 - 61  2013.02  [Refereed]

     View Summary

    Currently, problem of battery life is restricting the development of almost all of the wireless sensor networks, especially in structural health monitoring. This paper proposes and proves the possibility of a continuous battery life solution for wireless sensor networks using wireless power transfer. Different from current mainstream methods using resonance coils, this research is using 950MHz electric waves for power transfer. Experiment results shows that this power transfer system is able to support sensor modules operation at 10m distance under current structure monitoring plan. Also, this system is able to recharge batteries at 16m distance maximum.

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  • Bridge Diagnosis Technology using Wavelet Transform

    Record of Joint Conference of Electrical and Electronics Engineers in Kyushu   2013   192 - 192  2013

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  • Development of Automatic Overtaking between Vehicles Using Model Predictive Control

    Xi Chen, Harutoshi Ogai

    International Conference on Sustainable Automation Technology    2012.03

  • Bridge diagnosis technology by ARMA model and low-pass filter

    Record of Joint Conference of Electrical and Electronics Engineers in Kyushu   2012   566 - 567  2012

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  • Diesel engine optimization control methods for reduction of exhaust emission and fuel consumption

    Bambang Wahono, Harutoshi Ogai, Masatoshi Ogawa, Jin Kusaka, Yasumasa Suzuki

    2012 IEEE/SICE International Symposium on System Integration, SII 2012     722 - 727  2012

     View Summary

    The fuel efficiency and emission reductions are the two consistent drivers for diesel engine development. Although many control devices mounted in diesel engine and in addition to the development of individual emission control methods, optimization techniques are required to utilize these methods in finding optimal engine operating conditions efficiently. This research was focused on the minimization of nitrogen oxides (NOx) emission and soot emission, as well as improving brake specific fuel consumption (BSFC) and power in a single cylinder diesel engine, which can be modeled as a multi-objective optimization problem. Many approaches have been applied to multi-objective optimization problems. In recent years, particle swarm optimization (PSO) method has been successfully applied to different areas since its advent. It has been demonstrated that PSO is an effective method for optimization problem. © 2012 IEEE.

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  • STUDY ON MULTI-SENSOR DATA FUSION TECHNOLOGY FOR AUTOMOTIVE DRIVING SYSTEM

    Wei Wang, Hongbin Shi, Harutoshi Ogai

    2011 3RD INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT (ICCTD 2011), VOL 1     729 - 733  2012  [Refereed]

     View Summary

    The purpose of the automotive driving system is to understand the surroundings of the vehicle, evaluate potential risks, and help the driver to behave correctly, safely and efficiently. And for the purpose, we need the precondition that can accurately and precisely estimate the vehicle state. One key challenge is to design a data fusion method to fuse information from multiple sensors used in the automotive driving system. This paper introduces the automotive driving system with Robocar and also presents the method of adaptive particle filter to fuse different data from different sensors to estimate the vehicle state even in noise environment. We are trying to fuse data from different sensors in a probabilistic way. A particle filter with joint observation model will be adopted to fuse different observations according to accuracy and reliability of the corresponding sensor.

  • A Partial TPSN Time Offset Synchronization Scheme in Wireless Sensor Network applied for Bridge Health Diagnosis System

    Yixuan Gong, Harutoshi Ogai, Wanyu Li

    2011 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), VOLS 1-4     254 - 258  2012  [Refereed]

     View Summary

    This article is aimed to introduce a new hybrid time offset synchronization (sync) scheme for Wireless Sensor Network (WSN) for Bridge Health Diagnosis System (BHDS), which is wildly used as a main monitoring method in japan for collection of vibration information to diagnose the health condition of the bridge affected by the frequent nature disasters around whole country. It is publicly known that the collection and communication of such a large-scale distributed WSN requires a strict time sync scheme with little average sync error as well as max error, while taking energy-awareness and sync latency into consideration. In some cases, the traditional sync scheme such like TPSN or RBS fail to fulfill the needs. Therefore a hybrid scheme between the TPSN and direct-adjustment ensuring the sync accuracy without consuming more power has been studied in this paper. Generally speaking, the partial TPSN time offset scheme studied in this paper is a scheme to choose No. k of the children nodes to sync according to TPSN protocol and calculate the time offset for rest of nodes by using the data from both kind of nodes (the No. k's and the rest's). The mathematical model has been introduced and the simulator also has been developed to calculate the optimized k. By choosing different k, different average error and power consumption will occur hence to fulfill the different needs for BHDS. At last, the idea has been evaluated and experimented to make sure that it can, especially in BHDS, meet the needs for WSN.

  • A Self-Health Monitoring System for a Wireless Sensor Network Used in Bridge Diagnosis

    Haitao Xiao, Tansheng Li, Harutoshi Ogai

    SICE Journal of Control, Measurement, and System Integration   5 ( 1 ) 48 - 54  2012.01

    CiNii

  • A distributed multi-hop low cost time synchronization algorithm in wireless sensor network developed for bridge diagnosis system

    Haitao Xiao, Harutoshi Ogai, Zhehan Ding

    IEEJ Transactions on Electronics, Information and Systems   132 ( 5 ) 656 - 665  2012

     View Summary

    Due to the oceanic climate and frequent earthquakes in Japan, bridge health diagnosis is a problem of greater complexity. In bridge diagnosis system, we develop a wireless sensor network to sample and gather the vibration data of bridge. Time synchronization is a crucial component for the wireless sensor network (WSN), because large populations of sensor nodes will collaborate in order to complete the measuring data at the same time, data gathering, data fusion and localization. In the wireless sensor network with large scale of energy limited nodes, multi-hop time synchronization is necessarily applied. To solve above mentioned problem, some protocols such as RBS, TSPN FTPS etc. are proposed. However most of the algorithms mainly focus on the precision of synchronization. In fact energy efficiency is also a challenge in a resource-limited WSN. In this paper an improved time synchronization scheme is proposed with the purpose of reducing energy consumption and lengthening whole WSN' life. Performance analyses, simulations and realization in node hardware of WSN are also presented. © 2012 The Institute of Electrical Engineers of Japan.

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    3
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  • Automatic Driving System by Small Electric Vehicle for elderly person

    Nan Wu, Yunfeng Lou, Nan Sun, Wei Wang, Harutoshi Ogai

    2012 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE)     232 - 235  2012  [Refereed]

     View Summary

    This paper describes the automatic driving control system for elderly person using low cost sensors. Firstly, the small automatic electric vehicle and the control devices are explained. Next, the path tracking method is explained. And in order to realize path tracking, GPS and IMU are used to calculate the current position and orientation separately in real time for steering angle control. By the fusion method of Ultrasonic sensors, CCD stereo camera, GPS and IMU, the automatic driving system and the obstacle avoiding system is realized.
    Some test runs of automatic driving system of a small vehicle was done to verify the fusion and control methods in the outdoor experiments.

  • A microchip-controlling wireless power transfer system for sensor network

    Tansheng Li, Zhong Han, Harutoshi Ogai, Kikuzo Sawada, Jie Wang

    2012 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE)     337 - 341  2012  [Refereed]

     View Summary

    This paper introduced a wireless power transfer system controlled by a microchip board. Recently, wireless sensor network for structure health monitoring has been developed. However, battery consumption became an important problem, especially in structure health monitoring system, since maintenance costs huge human resources. Therefore, a wireless power transfer system is developed to supply sensor networks. This system works at 950MHz band, and the transmission rate is about -8dBm (about 140 mu W) at 10m's distance. After boost converter, power efficiency became 33%, which means there is less than 50 mu W can be stored into batteries. Moreover, a microchip board is used in this system to control and coordinate the whole transmission system, including the wireless modules. Comparing with power consumption of current microchip, 50 mu W is not enough. Therefore, power consumption control method is developed in this system.

  • Damage detection of bridge using wireless sensors

    Koushik Roy, Harutoshi Ogai, Bishakh Bhattacharya, Samit Ray-Chaudhuri, Jianan Qin

    IFAC Proceedings Volumes (IFAC-PapersOnline)   45 ( 23 ) 107 - 111  2012

     View Summary

    Bridges are essential links in any surface transportation network. A damage to an important bridge may result in enduring economic loss due to partial or complete closure of the route in addition to the cost of repair or replacement. Also, survival of bridges are of utmost importance in the aftermath of a devastating earthquake in order to facilitate rescue operations. Therefore, it has become customary to carry out a critical assessment of safety and integrity of bridges in regular intervals as well as immediately after disastrous events such as an earthquake. The prevalent practice of bridge inspection requires checking of each and every component, which is experience-based, highly time consuming and an expensive process, often enforcing disruption in traffic flow. As a result, the wireless sensor-based inspection methodology is gaining popularity in recent times. This paper a presents a study to show the efficiency of a multi-hopped wireless sensor network (WSN) for remote health monitoring of bridge. Various vibration-based and feature-based output-only damage detection techniques are applied to show their efficacy in terms of determining the location and severity of damages using the data collected from the bridge under damaged and undamaged conditions. © 2012 IFAC.

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  • Application for large scale database-based online modeling of melting furnace

    Y. Akaike, K. Higashi, N. Tanaka, H. Furuya, M. Ogawa, Y. Yeh, T. Tokunaga, H. Ogai

    IFAC Proceedings Volumes (IFAC-PapersOnline)   45 ( 23 ) 120 - 125  2012

     View Summary

    Recently, attention has been drawn by the local modeling techniques of a idea called "Just-In-Time (JIT) modeling". To apply "JIT modeling" to a large amount of database online, "Large-scale database-based Online modeling (LOM)" has been proposed LOM is such a technique that makes the retrieval of neighboring data more efficient by using stepwise method and quantization. This paper reports the application of LOM, a computerized sequential prediction method which uses a local regression model, on the shaft-furnace direct melting system (melting furnace) to systematically support and enhance the operation procedure compared to conventional methods of relying only human skills and experiences. © 2012 IFAC.

    DOI

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    1
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    (Scopus)
  • Development of Method for Construction of a Response Surface Model and Control Parameter Optimization Method for Automobile Engine

    OGAWA Masatoshi, SUZUKI Yasumasa, OGAI Harutoshi, KUSAKA Jin

    Transactions of the Society of Instrument and Control Engineers   47 ( 10 ) 501 - 510  2011.10

     View Summary

    With the problem of environmental pollution and energy depletion in recent years, a control technology which improves the performance of automobile engine has been demanded. This paper presents a method for construction of response surface model and a control parameter optimization method for automobile diesel engine in order to develop a model-based control system and the early development technique based on the model. The proposed method for construction of response surface model is able to efficiently-develop the response surface model that describes the multiple control parameters in relation to the characteristic value such as fuel consumption and emission. The proposed control parameter optimization method is able to quickly and efficiently calculate optimal control parameters to optimize evaluation item such as fuel consumption and emission based on the model.

    DOI CiNii

  • Development of Method for Construction of a Response Surface Model and Control Parameter Optimization Method for Automobile Engine

    OGAWA Masatoshi, SUZUKI Yasumasa, OGAI Harutoshi, KUSAKA Jin

    Transactions of the Society of Instrument and Control Engineers   47 ( 10 ) 501 - 510  2011.10

     View Summary

    With the problem of environmental pollution and energy depletion in recent years, a control technology which improves the performance of automobile engine has been demanded. This paper presents a method for construction of response surface model and a control parameter optimization method for automobile diesel engine in order to develop a model-based control system and the early development technique based on the model. The proposed method for construction of response surface model is able to efficiently-develop the response surface model that describes the multiple control parameters in relation to the characteristic value such as fuel consumption and emission. The proposed control parameter optimization method is able to quickly and efficiently calculate optimal control parameters to optimize evaluation item such as fuel consumption and emission based on the model.

    DOI CiNii

  • Development of Automatic Driving System by Robocar

    Xin Zhao, Nan Wu, Yunfeng Lou, Harutoshi Ogai

    SICE Annual Conference 2011     2170 - 2173  2011.09

  • Development of Platooning Control Algorithm Based on RoboCar

    Yufei Zhao, Harutoshi Ogai

    SICE Annual Conference (SICE 2011)     352 - 355  2011.09

  • An Improved PSO Method for Energy Saving System of Office Lighting

    SICE Annual Conference (SIC

    SICE Annual Conference (SICE 2011)     1533 - 1536  2011.09

     View Summary

    In order to reduce the amount of wasted energy in office lighting and provide a major contribution to lowering overall energy consumption, we are developing a new energy saving system for office lighting by using adjustable lamp, Wireless Sensor Network (WSN) and Particle Swarm Optimization (PSO). The illumination sensors collect and send the data to the control module. After the PSO (Particle Swarm Optimization) process, the module finally sets the power of the lamps according to the PSO result. In this paper we extent a prototype system which consists of one WSN control module, four fluorescent lamps with dimming capacity and three illumination sensors to a system which consists of one control module, sixteen lamps and up to sixteen sensors. We also make improvements on the PSO algorithm for more complicated situations. After real experiments in a middle-sized meeting room, it was proved that the system can successfully control the lights, and save considerable energy. © 2011 SICE.

  • A Data Collection System in Wireless Network combined WSN and ZIGBEE for Bridge Diagnosis

    Haitao Xiao, Harutoshi Ogai, Yixuan Gong, Xiaohong Zou, Takenari Otawa, Shinya Umeda, Takunori Tsuji, Jie Zhang

    SICE Annual Conference (SICE2011)     2024 - 2028  2011.09

  • Bridge diagnosis technology by using autoregressive model

    TERASAKI Toshiaki, INUJIMA Hiroshi, OGAI Harutoshi, MARUYAMA Izumi, NAGATA Shinji

      2011 ( 119 ) 19 - 22  2011.03

    CiNii

  • Modeling of diesel engine components for model-based control (second report): Prediction of combustion with high speed calculation diesel combustion model

    Yasumasa Suzuki, Jin Kusaka, Masatoshi Ogawa, Harutoshi Ogai, Shigeki Nakayama, Takao Fukuma

    SAE Technical Papers    2011

     View Summary

    This paper describes the development of a High Speed Calculation Diesel Combustion Model that predicts combustion-related behaviors of diesel engines from passenger cars. Its output is dependent on the engine's operating parameters and on input from on-board pressure and temperature sensors. The model was found to be capable of predicting the engine's in-cylinder pressure, rate of heat release, and NOx emissions with a high degree of accuracy under a wide range of operating conditions at a reasonable computational cost. The construction of this model represents an important preliminary step towards the development of an integrated Model Based Control system for controlling combustion in diesel engines used in passenger cars. © Copyright 2011 Society of Automotive Engineers of Japan, Inc. and SAE International.

    DOI

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    2
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  • Modeling of diesel engine components for model-based control (First Report): The construction and validation of a model of the Air intake system

    Toshitaka Nakamura, Yasumasa Suzuki, Jin Kusaka, Masatoshi Ogawa, Harutoshi Ogai, Shigeki Nakayama, Takao Fukuma

    SAE Technical Papers    2011

     View Summary

    Model based control design is an important method for optimizing engine operating conditions so as to simultaneously improve engines' thermal efficiency and emission profiles. Modeling of intake system that includes an intake throttle valve, an EGR valve and a variable geometry turbocharger was constructed based on conservation laws combined with maps. Calculated results were examined the predictive accuracy of fresh charge mass flow, EGR rate and boost pressure. © Copyright 2011 Society of Automotive Engineers of Japan, Inc. and SAE International.

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    1
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  • Response Surface Modeling of multiple injection diesel engine

    lu zhong, ogawa masatoshi, ogai harutosi

    Proceedings of the Japan Joint Automatic Control Conference   54 ( 0 ) 117 - 117  2011

    CiNii

  • Development of control parameter optimization method for automobile engine with particle swarm optimization

    Ogawa Masatoshi, Suzuki Yasumasa, Ogai Harutoshi, Kusaka Jin

    Proceedings of the Japan Joint Automatic Control Conference   54 ( 0 ) 116 - 116  2011

     View Summary

    With the problem of environmental pollution and energy depletion in recent years, a control technology which improves the performance of automobile engine has been demanded. This paper presents a method for construction of response surface model and a control parameter optimization method for automobile diesel enginein order to develop a model-based control system and the early development technique based on the model. The proposed method for construction of response surface model is able to efficiently-develop the response surface model that describes the multiple control parameters in relation to the characteristic value such as fuel consumption and emission. The proposed control parameter optimization method is able to quickly and efficiently calculate optimal control parameters to optimize evaluation item such as fuel consumption and emission based on the model.

    CiNii

  • Modeling of Diesel Engine Components for Model-Based Control-Modeling and Validation of Air Intake System-:—Modeling and Validation of Air Intake System—

    Suzuki Yasumasa, Nakamura Toshitaka, Kusaka Jin, Ogawa Masatoshi, Ogai Harutoshi, Nakayama Shigeki, Fukuma Takao

    JSAE Transactions   42 ( 4 ) 859 - 865  2011

     View Summary

    Model based control is an important technology to optimize engine operating conditions for improvements in thermal efficiency and emissions simultaneously. Modeling of intake system that includes an intake throttle valve, an EGR valve and a variable geometry turbocharger was constructed based on conservation laws combined with maps. Calculated results were examined the predictive accuracy of fresh charge mass flow, EGR ratio and boost pressure.

    CiNii

  • 大規模データベースオンラインモデリングによる疲労度の推定

    八谷百合子, 泉 博之, 小川雅俊, 川成 翔, 森 晃爾, 大貝晴俊

    計測自動制御学会産業論文集   10 ( 10 ) 81 - 90  2011

  • A prototype of energy saving system for office lighting by using pso and wsn

    Wa Si, Harutoshi Ogai, Katsumi Hirai, Hidehiro Takahashi

    IEEJ Transactions on Electronics, Information and Systems   131 ( 7 ) 1298 - 1302  2011

     View Summary

    The purpose of this study is to develop a wireless networked lighting system for office buildings, which can reduce the energy consumption while meeting users' lighting preferences. By using particle swarm optimization, the system is able to optimize the dimming ratio of luminaires according to the real time natural illumination and occupancy condition. In this paper we make a prototype system and test the feasibility and efficiency of the system. The prototype consists of one wireless control module, three illumination sensors and four fluorescent lamps with dimming capacity. The illumination sensors collect and send the data to the control module. After the process of PSO (Particle Swarm Optimization), the module finally sets the power of the lamps according to the PSO result. After real experiments in a certain designed office, it was proved that the system can successfully control the illuminations, and can save considerable energy.© 2011 The Institute of Electrical Engineers of Japan.

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  • Control Design Methods for Platooning in Robot Car

    Ryo Takaki, Xin Zhao, Harutoshi Ogai

    PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11)     507 - 510  2011  [Refereed]

     View Summary

    Platooning technology is becoming a future task which suggests as a way of reducing carbon dioxide emissions and realizing safe driving at a high speed velocity. This paper describes a few control methods for vehicle-platooning. The conventional control method improved fuel consumption by shortening the distance between vehicles. By contrast, the method we proposed improves it by controlling the velocity at the time of acceleration gently. The velocity is controlled by generating the desired value of inter-vehicular distance cones ponding to the leading vehicle velocity. Another method which is planned to realize a highly efficient arterial traffic distribution system includes reducing aerodynamic drag by minimizing the distance between vehicles to allow drafting. In this paper, the two degrees-of-freedom control system is applied for it. These proposed met hods were evaluated by simulation and some experiments.

  • Advanced Pipe Inspection Robot using Rotating Probe and Image Processing

    Ryuta Oyabu, Kentarou Nishijima, Zhicheng Wang, Harutoshi Ogai, Bishakh Bhattacharya

    PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11)     515 - 518  2011  [Refereed]

     View Summary

    Recently many drain pipes used for transportation of water and gas at the plants have become old. These pipes have many defects caused by corrosion and cracking and they cause serious accidents because of leakage, fire and blasts. Therefore, to forestall these accidents, we believe it is important to do drain pipe inspections and maintenance using drain pipe inspection robots.
    'Rotating probe' and 'Image processing' are used for the method of inspecting pipe in this research. Then, the development of the Pipe Inspection Robot measures the irregularity and the form of the defect in pipe. Therefore, this robot using the rotating probe of this touch sensor is profitable.

  • Application of Large-scale database-based Online Modeling to plant state long-term estimation

    Masatoshi Ogawa, Harutoshi Ogai

    IEEJ Transactions on Electronics, Information and Systems   131 ( 4 ) 718 - 721  2011

     View Summary

    Recently, attention has been drawn to the local modeling techniques of a new idea called "Just-In-Time (JIT) modeling". To apply "JIT modeling" to a large amount of database online, "Large-scale database-based Online Modeling (LOM)" has been proposed. LOM is a technique that makes the retrieval of neighboring data more efficient by using both "stepwise selection" and quantization. In order to predict the long-term state of the plant without using future data of manipulated variables, an Extended Sequential Prediction method of LOM (ESP-LOM) has been proposed. In this paper, the LOM and the ESP-LOM are introduced. © 2011 The Institute of Electrical Engineers of Japan.

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  • A distributed localized decision self-health monitoring system in WSN developed for bridge diagnoses

    Haitao Xiao, Harutoshi Ogai

    2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011     23 - 28  2011

     View Summary

    In Japan, Bridge is an important part of public transportation infrastructures. As a result, the monitoring of bridge health is accordingly vital important for the government and related institutions. In bridge diagnoses system, we develop a wireless sensor network to measure and gather the vibration data of bridge. The problem is: in past field bridge diagnosis experiment, node failure and data packets loss always occurred in the WSN. Furthermore, when we deploy all the nodes of WSN to bridge in the first time, it is always difficult to set the location of nodes in order to ensure the quality of link is extremely reliable. In order to solve above mentioned problem we propose a distributed data aggregation active monitoring method and a distributed localized decision monitoring method. Based on the two methods we build a self-health monitoring system for WSN: DLDMS (Distributed Localized Decision Monitoring System). We apply this system to the field experiments at Kitakyushu city in Japan and successfully obtain the health status of WSN. © 2011 IEEE.

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  • Development of automation path selection system for vehicle

    Yunfeng Lou, Xin Zhao, Harutoshi Ogai

    Proceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011   1   693 - 696  2011

     View Summary

    The main object of this paper is to design and realize a real-time autonomous driving system for intelligent vehicles by using the map information. By appointing the destination, the intelligent vehicle selects the optimal route in real-time, and reaches the specific destination without ordering the course of the travel. In addition, a simulation study which contains a number of map instances was made to confirm the algorithm. Finally, the performance and accuracy of the proposed system was verified by real-time experiment result. © 2011 IEEE.

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  • A multi-hop wireless sensor system for bridge health monitoring

    Tansheng Li, Harutoshi Ogai, Haitao Xiao, Noriyoshi Yamauchi

    IEEJ Transactions on Electronics, Information and Systems   131 ( 10 ) 1760 - 1766  2011

     View Summary

    This paper introduces a multi-hopped wireless sensor network for remote bridge health monitoring, including system architecture, transmission protocol, data acquiring and processing. This system based on detecting the three-dimension vibration or acceleration data of the bridge, which data is caused by external impacts such as a car or a truck. Comparing with traditional monitoring systems, this bridge health monitoring system has advantages in human-free, long-life, and real-time responses. Additionally, to compare data of a damaged bridge and a healthy one, an experiment of making artificial damage to a bridge is carried out with consent of related departments. Moreover, this system can be applied in any form of bridges. In the future, it is even expected to be applied in other kind of buildings more than bridges. © 2011 The Institute of Electrical Engineers of Japan.

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  • Development of bridge diagnosis technology by using Auto-Regressive Model

    FUJIOKA Yuji, INUJIMA Hiroshi, OGAI Harutoshi, MARUYAMA Izumi, NAGATA Shinji

      2010 ( 184 ) 5 - 8  2010.12

    CiNii

  • The new bridge diagnosis technology by using digital signal analysis

    HATORI Takahiro, INUJIMA Hiroshi, OGAI Harutoshi, MARUYAMA Izumi, NAGATA Shinji

      2010 ( 184 ) 1 - 4  2010.12

    CiNii

  • Long-term Prediction of Industrial Furnace by Extended Sequential Prediction Method of LOM

    Masatoshi Ogawa, Yichun Yeh, Syou Kawanari, Harutoshi Ogai

    SICE Annual Conf. 2010, Int’l Conf. on Instrumentation, Control and Information Technology     1490 - 1493  2010.10

     View Summary

    Recently, attention has been drawn by the local modeling techniques of a new idea called "Just-In-Time (JIT) modeling" or "Lazy Learning". To apply "JIT modeling" to a large amount of database online, "Large-scale database-based Online Modeling (LOM)" has been proposed. LOM is such a technique that makes the retrieval of "neighboring" data more efficient by using "stepwise selection" and quantization. This paper reports an Extended Sequential Prediction (ESP) method of LOM with the local regression model. The ESP method is able to predict process variables over a long period by modeling the operator and the plant based on LOM, the approach is to repeat a process that predicts the process variables of the next step by using the predicted variables of the previous step. The method is applied to a dynamic industrial furnace with several deeply-intertwined physical phenomena; practical effectiveness of the method is verified. As a result, the method has predicted the process variables with satisfactory accuracy. © 2010 SICE.

  • Methods of Collection of Biological Information for Fatigue Evaluation During Visual Display Terminals (VDTs) Operation

    Yuriko Hachiya, Harutoshi Ogai, Hiroko Okazaki, Takeshi Fujisaki, Kazuhiko Uchida, Susumu Oda, Futoshi Wada, Koji Mori

    ELECTRONICS AND COMMUNICATIONS IN JAPAN   93 ( 9 ) 47 - 57  2010.09  [Refereed]

     View Summary

    A method for the analysis of fatigue parameters has been rarely researched in VDT operation. Up to now, fatigue was evaluated by changing of biological information. If signals regarding fatigue are detected, fatigue can be measured. The purpose of this study was an experiment and analysis method to extract parameters related to fatigue from the biological information during VDT operation using Independent Component Analysis (ICA). The experiment had I I subjects, and examined light-load and heavyload VDT operation. Measurement items were amount of work, number of mistakes, subjective symptoms, surface skin temperature (forehead and apex nasi), heart rate, skin blood flow of forearm, and respiratory rate. In the heavyload operation group, number of mistakes and subjective symptom score were increased. Two-factor ANOVA was used for analysis. The result of number of mistakes was confirmed for the heavy load. After the moving averages of waveform were calculated, we extracted independent components by using ICA. The results of ICA suggest that the independent components increase according to accumulation of fatigue. Thus, the independent components would be a possible parameter of fatigue. However, further experiments should continue in order to obtain conclusive findings of our research. (C) 2010 Wiley Periodicals, Inc. Electron Comm Jpn, 93(9): 47-57, 2010; Published online in Wiley Online Library (wileyonlinelibrai-y.com). DOI 10.1002/ecj.10033

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  • Bridge Diagnosis System by Using Nonlinear Independent Component Analysis

    Juanqing Zheng, Qingwen Wang, Harutoshi Ogai, Shao Chen, Jingqiu Huang

    SICE Annual Conf. 2010, Int’l Conf. on Instrumentation, Control and Information Technology     2118 - 2121  2010.08

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  • Modified Multi-Objective Particle Swarm Optimization: Application to Optimization of Diesel Engine Control Parameter

    D. Wu, M. Ogawa, Y. Suzuki, H. Ogai, J. Kusaka

    SICE JCMSI(Journal of Control, Measurement, and System Integration )   3 ( 5 ) 315 - 325  2010.05

  • Application of Large Scale Database-based Online Modeling for Operation Support : Industrial Furnace(<Special Issue>New Trends in Data Driven Approach)

    OGAI Harutoshi, OGAWA Masatoshi, YEH Yichen

    Systems, control and information   54 ( 3 ) 104 - 109  2010.03

    CiNii

  • Engine Control Input Optimization using Particle Swarm Optimization and Multi-Objective Particle Swarm Optimization

    Dongmei Wu, Masatoshi Ogawa, Yichun Yeh, Harutoshi Ogai

    Proc. of the 29th IASTED International Conference, Modelling, Identification and Control(MIC2010)     33 - 37  2010.02

     View Summary

    In order to cope with energy crisis, and emission pollution, an engine with lower pollution burden is appreciated. In this research, diesel engine optimization objectives are formulized on the basis of experiment data. The reduction of brake specific fuel consumption (BSFC), exhaust gas emission, and soot using particle swarm optimization (PSO) and multi-objective particle swarm optimization (MOPSO) is proposed. Optimal results of PSO are obtained and validated by engine test bench. In this paper, MOPSO with three optimization objectives are presented and simulated, these optimal results of MOPSO would also be tested in experiment in the future.

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  • 大規模データベースオンラインモデリングによる筒内吸入空気量の予測とSIエンジン始動制御への応用

    小川雅俊, 葉怡君, 大貝晴俊

    計測自動制御学会産業論文集   9 ( 6 ) 37 - 45  2010

  • Verification of Damage Identification Technique Based on Transfer Function and Using on a Real Bridge

    Chen Shao, Harutoshi Ogai, Juanqing Zheng, Jingqiu Huang

    SICE Annual Conf. 2010, Int’l Conf. on Instrumentation, Control and Information Technology     2146 - 2150  2010

    CiNii

  • The Health Monitoring System based on Distributed Data Aggregation for WSN used in Bridge Diagnosis

    Haitao Xiao, Tansheng Li, Harutoshi Ogai, Xiaohong Zou, Takenari Otawa, Shinya Umeda

    SICE Annual Conf. 2010, Int’l Conf. on Instrumentation, Control and Information Technology     2134 - 2138  2010

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  • On Vibration Signal Analysis in Bridge Health Monitoring System by Using Independent Component Analysis

    Jingqiu Huang, Harutoshi Ogai, Chen Shao, Juanqing Zheng, Izumi Maruyama, Shinji Nagata

    SICE Annual Conf. 2010, Int’l Conf. on Instrumentation, Control and Information Technology     2122 - 2125  2010

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  • Energy Saving System for Office Lighting by Using PSO and ZigBee Network

    Wa Si, Harutoshi Ogai, Tansheng Li, Masatoshi Ogawa, Katsumi Hirai, Hidehiro Takahashi

    SIMULATED EVOLUTION AND LEARNING   6457   667 - +  2010  [Refereed]

     View Summary

    In order to reduce the amount of wasted energy in office lighting and provide a major contribution to lowering overall energy consumption, we are developing a new energy saving system for office lighting by using adjustable lamp, ZigBee Wireless Sensor Network (WSN) and Particle Swarm Optimization (PSO). In this paper we make a prototype system which consists of one ZigBee control module, four fluorescent lamps with dimming capacity and three illumination sensors. The illumination sensors collect and send the data to the control module. After the PSO (Particle Swarm Optimization) process, the module finally sets the power of the lamps according to the PSO result. After real experiments in both sunny day and cloudy dayin a small-size office, it was proved that the system can successfully control the lights, and save considerable energy.

  • Automobile Optimal Driving Control using Surrounding Information based on Model Predictive Control

    D. Wu, Y. Xia, M. Ogawa, H. Ogai, T. Kawabe

    SICE JCMSI(Journal of Control, Measurement, and System Integration )   3 ( 6 ) 435 - 441  2010

     View Summary

    In this paper, an optimal driving control system based on model predictive control (MPC) is developed for the purpose of processing more surrounding information which is essential for improving the current intelligent driving assistance and further dealing with traffic issues caused by automobiles. The proposed system provides a method of calculating a desirable driving path based on surrounding traffic environments. The performance of this system is evaluated through simulations which are carried out with introduction of surrounding information such as traffic jams, traffic signal changes, and fuel consumption. Simulation results reveal that the proposed system as a driving assist system has a potential of finding optimal driving paths for drivers.

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  • Development of Optimal Control System for Safe Distance of Platooning Using Model Predictive Control

    Xin Zhao, Dongmei Wu, Yichun Yeh, Harutoshi Ogai

    SIMULATED EVOLUTION AND LEARNING   6457   65 - 74  2010  [Refereed]

     View Summary

    Platooning technology is becoming a future task which suggests as way of reducing carbon dioxide emissions and realizing safe driving at a high velocity. This paper presents a unique optimal control method of velocity and distance for platooning using model predictive control. The vehicle-platoon&apos;s distance model which is based on the road condition and weather condition is used in this rigorous approach of deriving the control input. A combination of Continuation and Generalized Minimum Residual Methods is used to optimize the sequence of vehicle control commands which is required in the prediction horizon aiming at minimizing the relative velocity and keeping safe distance of the vehicle-platoon while the vehicle-platoon is on a high velocity driving.

  • An Application of Large Scale Database-based Online Modeling on Traffic Prediction

    Yi-chun Yeh, Masatoshi Ogawa, Harutoshi Ogai

    Proc. of 2009 CACS International Automatic Control Conference    2009.12

  • Pipe inspection robot using a wireless communication system

    Dongmei Wu, Harutoshi Ogai, Yichun Yeh, Katsumi Hirai, Takahiko Abe, Gunkichi Sato

    Artificial Life and Robotics   14 ( 2 ) 154 - 159  2009.11

     View Summary

    Pipe lines of any material need to be inspected after a certain number of years. Therefore, it is necessary to develop a flexible pipe inspection robot using a wireless communication system. In this research, a wireless communication system is tested, and it is verified that the system can transmit image information steadily at a high speed. On the basis of this wireless communication system, a new pipe inspection robot for drain pipes is developed. With this new system, the movement of the robot can be controlled, defects or other problems inside a pipe can be inspected, and an image of the inside of the pipe can also be transmitted in real time. © 2009 International Symposium on Artificial Life and Robotics (ISAROB).

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  • Diesel Engine Control Inputs Optimization

    Dongmei Wu, Masatoshi Ogawa, Yichun Yeh, Harutoshi Ogai

    Proc. of 2009 CACS International Automatic Control Conference     27 - 29  2009.11

  • Development of teaching materials for SI engine control exercise

    Masatoshi Ogawa, Dongmei Wu, Yichun Yeh, Harutoshi Ogai, Jin Kusaka

    8th IFAC Symposium on Advances in Control Education (ACE2009)     21 - 23  2009.10

  • 独立成分分析を用いたVDT 作業時の疲労関連信号抽出方法の検討

    八谷百合子, 泉博之, 大貝晴俊, 森晃爾

    産業医科大学雑誌   31 ( 3 ) 265 - 279  2009.09

  • Research of a Real Time, Model Based Engine Control System for a Passenger Car Diesel Engine

    Hiroki Yano, Kazuki Nagata, Yasumasa Suzuki, Jin Kusaka, Masatoshi Ogawa, Harutoshi Ogai, Shigeki Nakayama, Takao Fukuma

    The 15th Asia Pacific Automotive Engineering Conference (APAC15)    2009

  • Forward Vehicle and Distance Detecting Using Image Processing Technology for Avoiding Traffic Jams

    Y. Zhao, Y. Sun, H. Ogai

    ICROS-SICE International Joint Conference 2009     3555 - 3558  2009

  • Drain Pipe Inspection Robot using Wireless Communication System

    D. Wu, H. Ogai, Y. Yeh, K. Hirai, T. Abe, G. Sato

    ICROS-SICE International Joint Conference 2009     3667 - 3671  2009

  • Development of SI Engine Control Education System

    Dongmei Wu, Masatoshi Ogawa, Harutoshi Ogai, Jin Kusaka

    SICE JCMSI (Journal of Control, Measurement, and System Integration)   2 ( 2 ) 94 - 99  2009

  • Design of compensator for Engine Intake system model with Turbocharger by Extended Kalman Filter

    M. Ogawa, H. Ogai, Y. Inoue, N. Okuda, A. Ohata

    ICROS-SICE International Joint Conference 2009     4124 - 4127  2009

     View Summary

    In order to apply an engine intake air system model to engine control, it is necessary to calculate the intake air system model quickly and accurately under constraints of computational performance. Therefore, a study has been made on a method for calculating the intake air system model implemented by an analog LSI at short times. However, the problem is to include the model error in the intake air system model based on the analog LSI of present state. This paper reports a compensation of the intake air system model with error by Extended Kalman Filter (EKF).A basic model that reproduces model errors of analog LSI model is built, and a compensator based on EKF is designed. As a result, it is confirmed that the compensator reduces the model errors by half. Moreover, this paper reports the numeric solution in order to reduce the hunting phenomenon of the engine intake air system model. © 2009 SICE.

  • Automobile Optimal Driving Control Using Information of Traffic Jam and Signal based on Model Prediction Control

    D. Wu, Y. Xia, M. Ogawa, Y. Yeh, H. Ogai, T. Kawabe

    ICROS-SICE International Joint Conference 2009     3565 - 3568  2009

     View Summary

    As a basis of an intelligent driving assist system, an on-line calculation method calculating a desirable driving path based on information and prediction of surrounding traffic environment is developed. The problem is how to use information of traffic jam and signal. This paper reports an automobile optimal driving control system using information of traffic jam and signal based on the model prediction control to support drivers. Moreover, physical models for information of traffic jam and signal are constructed. © 2009 SICE.

  • Wireless Radio Comminication System foe a Pipe Inspection Robot

    Yichun Yeh, Dongmei Wu, Harutoshi Ogai, Katsumi Hirai, Takahiko Abe, Gunkichi Sato

    The 13th International Symposium on Artificial Life and Robotics 2008     393 - 396  2008.02

  • Development of bridge diagnosis system by using sensor network

    Miduki Nakayama, Harutoshi Ogai, Jong-In Cheon, Ming-Yuan Hsieh, Hiroshi Inujima, Noriyoshi Yamauchi

    Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08     401 - 404  2008

     View Summary

    This paper focuses on maintaining a bridge s safety by developing a daily management system. And the purpose of this study is the development of the health monitoring system. It supports the maintenance by using sensor network and Independent Component Analysis (ICA) when there are some troubles in a bridge. The result of this study brings out the vibration behavior of the overall structure in a bridge. This vibration is caused by the external force such as wind pressure, and running vehicle. The character frequency was extracted from the analysis result using ICA and Spectral Analysis.The actual sensor network system has been developed and the performance was demonstrated. ©ISAROB 2008.

  • 独立成分分析を利用したVDT入力作業時の疲労の評価

    八谷百合子, 大貝晴俊, 岡崎浩子, 藤崎丈詞, 内田和彦, 織田進, 和田太, 森晃爾

    ITヘルスケア誌   2 ( 2 ) 66 - 79  2008.01

  • 大規模データベースオンラインモデリングの廃棄物処理プロセスへの応用とガイダンス手法の提案

    葉怡君, 小川雅俊, 吉永裕哉, 大貝晴俊, 内田健康

    計測自動制御学会産業論文集   7 ( 6 ) 40 - 47  2008

    CiNii

  • 大規模データベースオンラインモデリングの逐次予測システムの構築と工業炉プロセスへの応用

    小川雅俊, 葉怡君, 大貝晴俊, 立野繁之, 内田健康

    計測自動制御学会産業論文集   7 ( 4 ) 26 - 32  2008

  • 軽いTime Pressureを与えたVDT入力作業時の疲労の評価

    八谷百合子, 大貝晴俊, 岡崎浩子, 藤崎丈詞, 内田和彦, 織田進, 泉博之, 森晃爾

    産業保健人間工学研究(産業保健人間工学会)   9 ( 1 ) 7 - 13  2008.01

  • VDT入力作業における疲労評価のための生体情報収集

    八谷百合子, 大貝晴俊, 岡崎浩子, 藤崎丈詞, 内田和彦, 織田進, 和田太, 森晃爾

    電気学会論文誌C   128 ( 1 ) 45 - 54  2008

     View Summary

    A method for the analysis of fatigue parameters has been rarely researched in VDT operation. Up to now, fatigue was evaluated by changing of biological information. If signals regarding fatigue are detected, fatigue can be measured. The purpose of this study proposed experiment and analysis method to extract parameters related to fatigue from the biological information during VDT operation using the Independent Component Analysis (ICA). An experiment had 11 subjects. As for the experiment were light loaded VDT operation and heavy loaded VDT operation. A measurement item were amount of work, a mistake number, subjective symptom, surface skin temperature (forehead and apex nasi), heart rate, skin blood flow of forearm and respiratory rate. In the heavy loaded operation group, mistake number and subjective symptom score were increased to compare with the other. And Two-factor ANOVA was used for analysis. The result of mistake number was confirmed that heavy loaded. After the moving averages of waveshape were calculated, it was made to extract independent components by using the ICA. The results of the ICA suggest that the independent components increase according to accumulation of fatigue. Thus, the independent components would be a possible parameter of fatigue. However, further experiments should continue in order to obtain the conclusive finding of our research.

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  • Bridge diagnosis system by using wireless sensor network and independent component analysis

    Jia Cheng, Miduki Nakayama, Ping-An Ruan, Jong-In Cheon, Ming-Yuan Hsieh, Harutoshi Ogai, Hiroshi Inujima, Noriyoshi Yamauchi

    Proceedings of the SICE Annual Conference     1683 - 1686  2008

     View Summary

    The aim of this paper is the development of a bridge diagnosis system for daily bridge maintenance. The system includes the technology of wireless sensor network, signal processing, and structure analysis of a bridge. We collect the vibration data caused by external force such as wind pressure, running vehicles and etc through wireless sensor network and then use independent component analysis (ICA) and spectral analysis to analyze the data for extracting character frequency. The diagnosis technology is developed to understand the phenomena like deterioration and corrosion of a bridge through the measurement result. So the diagnosis system can evaluate the health condition of a bridge and conduct a comprehensive deliberation on repair and reinforcement work. We apply this diagnosis system to field experiments at Kokura, Kitakyushu city in Japan and successfully extract the character frequency of a bridge. © 2008 SICE.

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  • The cold starting control of engine using Large scale database-based Online Modelling

    M. Ogawa, H. Ogai

    17th IFAC World Congress     1030 - 1035  2008

  • Engine control education system

    Dongmei Wu, Harutoshi Ogai, Masatoshi Ogawa, Mushikkachai Maruto, Jin Kusaka, Pengfei Jiao

    Proceedings of the SICE Annual Conference     2901 - 2904  2008

     View Summary

    This paper presents an introduction of engine control education system. The education system is composed of PC hardware, high-speed arithmetic processing board, ECU, and engine test bench. This system can realize following functions: familiarize people with gasoline engine properties, do engine control simulation, design engine control system, and realize engine real-time simulation. In this paper, we designed basic engine control system and got simulation results, developed real-time simulation system, and realized real-time simulation by adjusting PID parameters. Further more, we can design new control system by improving the basic ones. When we connect engine control model to engine test bench and ECU, this system can realize virtual engine real-time simulation. © 2008 SICE.

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  • Development of an Operation Support System for the Blast Furnace in the Ironmaking Process: Large-scale Database-based Online modeling and Integrated Simulators

    H. Ogai, M. Ogawa, K. Uchida, S. Matsuzaki, M.Ito

    SICE JCMSI(Journal of Control, Measurement, and System Integration )   1 ( 3 ) 199 - 206  2008

    CiNii

  • Modeling of waste disposal system for disposable diapers

    Yichun Yeh, Harutoshi Ogai, Ryouta Yui, Hiroshi Morita, Yukinori Takabayashi

    Proceedings of the IEEE International Conference on Control Applications     3330 - 3335  2007

     View Summary

    As an aging society is a tendency in the future, the production of disposable diaper has been increased year by year. It is believed that the problem of the disposal of diapers will be becoming a great problem in the future. For waste reduction, a new disposal technique for the used disposable diapers by the pair conditions of microorganisms, cryptomeria chips and ALGA is purposed. In this paper, we showed that microorganisms living with the cryptomeria chips have effect on the decomposition of the disposable diapers. A disposal process model of disposable diapers is built according to the results of experiments. © 2006 IEEE.

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  • 大規模データベースオンラインモデリングのクロスプラットフォームシステムの開発と高速化

    小川雅俊, 田島順一, 大貝晴俊, 立野繁之, 伊藤雅浩, 松崎眞六, 内田健康

    日本設備管理学会誌   19 ( 1 ) 1 - 8  2007

  • 紙おむつ廃棄物処理システムのモデリング及び制御応用

    葉怡君, 小川雅俊, 大貝晴俊, 森田洋, 野村美樹

    計測自動制御学会産業論文集   6 ( 15 ) 117 - 124  2007

  • Wireless radio communication system for a pipe inspection robot

    Harutoshi Ogai, Kosuke Wada, Katsumi Hirai, Takahiko Abe, Gunkichi Sato

    2007 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, VOLS 1-6     1455 - +  2007  [Refereed]

     View Summary

    In this research, we studied the wireless radio communication system which can transfer stable and at high speed. And we developed some prototype robot systems and made some tests. In this system, we could make control the moving robot and inspect the defects from inside of steel pipe or ceramic pipe. We could transfer the image information of inside pipe with the defect in real time.

  • Temperature control of nonlinear system in a waste disposal process by selective control

    Yi-Chun Yeh, Masatoshi Ogawa, Harutoshi Ogai, Kazuo Sakiyama

    ICCAS 2007 - International Conference on Control, Automation and Systems     2166 - 2169  2007

     View Summary

    With the advent of throw-away products, the final disposal of such products has become a problem to which considerable attention need be given. For example, the investigation in Japan in 2004 shows the fact that the quantity of production of the diaper increases from 3000 million in 2003 to 3,700 million in 2008[1]. Therefore, in this paper, a new treatment technique for decomposing disposable diapers by microorganisms with cryptomeria chips is proposed. In addition, because a small size disposal system with a temperature controller is expected, the disposal processes of disposable diapers are modeled. The simulations with difference temperature conditions are performed using the models. And then, the relationship between temperature and decomposition rate become clear. © ICROS.

    DOI

    Scopus

  • Fatigue evaluation for work load of Visual Display Terminals (VDT) operation

    Yuriko Hachiya, Harutoshi Ogai, Hiroko Okazaki, Takeshi Fujisaki, Kazuhiko Uchida, Susumu Oda, Futoshi Wada, Koji Mori

    2007 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, VOLS 1-6     729 - +  2007  [Refereed]

     View Summary

    A method for the analysis of fatigue parameters has been rarely researched in VDT operation. Up to now, fatigue was evaluated by changing of biological information. If signals regarding fatigue are detected, fatigue can be measured. This study proposes an experiment and analysis method to extract parameters related to fatigue from the biological information during VDT operation using the Independent Component Analysis (ICA). An experiment had 11 subjects. As for the experiment were light loaded VDT operation and heavy loaded VDT operation. A measurement item were amount of work, a mistake number, subjective symptom surface skin temperature (forehead and apex nasi), heart rate, skin blood flow of forearm and respiratory rate. In the heavy loaded operation group, mistake number and subjective symptom score were increased to compare with the other. And Two-factor ANOVA was used for analysis. The result of mistake number was confirmed that heavy loaded. After the moving averages of waveshapes were calculated, it was made to extract independent components by using the ICA. The results of the ICA suggest that the independent components increase according to accumulation of fatigue. Thus, the independent components would be a possible parameter of fatigue.

  • Development of sequential prediction system for large scale database-based Online Modeling

    Masatoshi Ogawa, Yichun Yeh, Harutoshi Ogai, Kenko Uchida

    2007 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, VOLS 1-6     298 - +  2007  [Refereed]

     View Summary

    This paper reports a sequential prediction system of "Large scale database-based Online Modeling (LOM)". The sequential prediction system predicts time-series process variables repeating processing that predicts process variables of next step by using the predicted process variables of previous step and prepared manipulated variables. Furthermore, the system is applied to the industrial reactor; Practical effectiveness of the system is verified. As the result, the system has predicted the process variables with satisfactory accuracy. The practical effectiveness has been confirmed.

  • Application of Large scale database-based Online Modeling for cold starting control of SI engine

    M. Ogawa, Y. Yeh, H.Ogai, K. Uchida

    CACS 2007 Int’l Automatic Control Conf.     1050 - 1053  2007

  • Modeling and solving an engine intake manifold with turbo charger for predictive control

    Long Xie, Harutoshi Ogai, Yasuaki Inoue

    ASIAN JOURNAL OF CONTROL   8 ( 3 ) 210 - 218  2006.09  [Refereed]

     View Summary

    In this paper, we build the intake manifold model of an engine with a turbo charger and develop a high speed calculation algorithm for model-based predictive control in real time. The model is built according to the analysis of its thermodynamic and hydrodynamic characteristics and the sampled experiment data. The model equations are presented as a set of differential equations with condition selection (bifurcation) on the right hand side. The switching surface is divided into two parts, sliding and crossing. The sliding mode on the switching surface is analyzed in detail, and a calculation algorithm is proposed to remove illegal crossing caused by the numerical errors on this surface. Also, the control formula and the condition guiding the bifurcation between these two parts are demonstrated. Using this method, we can solve this model over the entire region of input throttle angles, the stability is greatly increased, and the calculation time is greatly reduced for real time control systems.

  • Numerical solving of hybrid dynamic switching system and its application

    Long Xie, Harutoshi Ogai, Yasuaki Inoe

    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL   2 ( 4 ) 849 - 862  2006.08  [Refereed]

     View Summary

    In this paper we propose a method of simulation and verification for a class of hybrid system. This kind of dynamic system integrates discrete and continuous parts according to the external control commands and internal evolution rules. In this case the system has character of chatting (oscillation or bifurcation) between the intersections of different regions. The switching surface is divided into two parts of sliding and crossing. The sliding mode on the switching surface is analyzed in detail; the conditions guiding the bifurcation between these two parts and the control formula to crossing or sliding are demonstrated. Furthermore the calculation algorithm is proposed to remove illegal crossing caused by the errors on this surface. Finally, we illustrate a successful application of solving an intake manifold model of an automobile engine with turbo charger for real time predictive control, in which the stability is improved greatly and the trajectory oscillation is reduced.

  • Development of Java-based Operation Support System Integrated with LOM and Blast Furnace Simulator

    Ogawa Masatoshi, Tajima Junichi, Ogai Harutoshi, Uchida Kenko, Ito Masahiro, Matsuzaki Shinroku

    Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers   6   152 - 152  2006

     View Summary

    This paper reports a Java-based operation support system integrated with a "Large scale database Online Modeling (LOM)" and a blast furnace simulator. The system predicts blast furnace operation by combining the partial unsteady simulator of the physical modeling method and LOM of the local modeling method and supports the operation. To construct the system, the Java-based partial unsteady blast furnace simulator is developed.

    DOI CiNii

  • The vital reaction and fatigue evaluation by work load of Visual Display Terminals (VDT) input work

    Hachiya Yuriko, Ogai Harutoshi, Okazaki Hiroko, Fujisaki Takeshi, Uchida Kazuhiko, Oda Susumu, Mori Koji

    Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers   6   159 - 159  2006

     View Summary

    A method for analysis of fatigue signal was rarely researched in VDT input work. Then to search the fatigue signal, experiments on the work load of the VDT input work are performed under a constant environment. The fatigue signal in vital reaction is obtained.

    DOI CiNii

  • Intelligent surveillance system design based on independent component analysis and wireless sensor network

    Long Xie, Masatoshi Ogawa, Youichi Kigawa, Harutoshi Ogai

    IEEJ Transactions on Electronics, Information and Systems   126 ( 12 )  2006

     View Summary

    This paper explores the development of a real time intelligent surveillance system using the technology of pattern recognition based on independent component analysis (ICA) and a novel matching method as a reaction to perceptions of insecurity in sensitive spaces. An array of motion images of people are caught by micro digital cameras on board and transferred through wireless network to FPGA board. The feature points of the shot image and the image in database are extracted out using ICA algorithm in embedded PowerPC. The most similar images are picked up from the image database, which is classified to different clusters, and the potential insecurity level of invaders is detected. Furthermore the respective locations are connected by wireless network. The system of hardware and software co-design is implemented on Xilinx FPGA with the performance of high efficiency, low power consumption and easy integration with other devices.

    DOI

    Scopus

    1
    Citation
    (Scopus)
  • 微生物による紙おむつ処理システムの構築

    葉怡君, 大貝晴俊, 森田洋, 高林幸則

    防菌防黴   34 ( 13 ) 91 - 97  2006

  • Virtual vehicle system development and its application for ABS design based on distributed network

    Long Xie, Qian Tian, Harutoshi Ogai

    International Journal of Computer Applications in Technology   25 ( 4 ) 209 - 217  2006

     View Summary

    In this paper, we explore a novel method for building a virtual vehicle system, integrating pure software simulation and Hardware In Loop (HIL) simulation, which is constructed based on a distributed network of Controller Area Network (CAN) and TCP/IP. Firstly, the dynamic vehicle model is developed in the platform of software simulation, used to design and verify the response of ABS control logic. Secondly, in the HIL simulation the model equations are converted to a stand-alone program of C++ on main computer and integrated with ABS controller, real vehicle devices and components, generate a real vehicle environment based on CAN bus to verify the control performance of ABS in real time. Database, graphic and data processing systems are integrated by cross-platform programming technology on assistant computer connected by ethernet. The analysis and validation of developed control logic for ABS can be performed successfully on this platform. Copyright © 2006 Inderscience Enterprises Ltd.

    DOI

    Scopus

    3
    Citation
    (Scopus)
  • Modeling of engine intake system and development of high speed simulation method

    Long Xie, Harutoshi Ogai, Yasuaki Inoue, Akira Ohata

    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS     178 - 182  2006  [Refereed]

     View Summary

    The intake manifold model of turbo charge engine is constructed and a high speed calculation algorithm is developed for model based predictive control in real time. The model is built from the analysis of its thermodynamic and hydrodynamic characters and the sampled experiment data which are expressed by a set of differential equations with switching (bifurcation) on the right hand side. The switching surface is divided into two parts: sliding and crossing. We analyze the reasons of error existing on the surface, and develop well-defined control semantics for managing behavior discontinuities in the case of state transition. The calculation algorithm can seamlessly integrate the continuous behavior generation and the discrete mode switching. Using this method we can solve this model under the entire region of input throttle angles. Furthermore, the stability is greatly improved and the calculation time is greatly reduced for the real time control system.

  • Modeling of waste disposal system for disposable diapers

    Yichun Yeh, Harutoshi Ogai, Ryouta Yui, Hiroshi Morita, Yukinori Takabayashi

    PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, VOLS 1-4     2147 - +  2006  [Refereed]

     View Summary

    As an aging society is a tendency in the future, the production of disposable diaper has been increased year by year. It is believed that the problem of the disposal of diapers will be becoming a great problem in the future. For waste reduction, a new disposal technique for the used disposable diapers by the pair conditions of microorganisms, cryptomeria chips and ALGA is purposed. In this paper, we showed that cryptomeria chips have effect microorganisms living with the the decomposition of the disposable diapers. A disposal process model of disposable diapers is built according to the results of experiments.

  • Modeling of engine intake system and development of high speed simulation method

    Long Xie, Harutoshi Ogai, Yasuaki Inoue, Akira Ohata

    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS     178 - 182  2006  [Refereed]

     View Summary

    The intake manifold model of turbo charge engine is constructed and a high speed calculation algorithm is developed for model based predictive control in real time. The model is built from the analysis of its thermodynamic and hydrodynamic characters and the sampled experiment data which are expressed by a set of differential equations with switching (bifurcation) on the right hand side. The switching surface is divided into two parts: sliding and crossing. We analyze the reasons of error existing on the surface, and develop well-defined control semantics for managing behavior discontinuities in the case of state transition. The calculation algorithm can seamlessly integrate the continuous behavior generation and the discrete mode switching. Using this method we can solve this model under the entire region of input throttle angles. Furthermore, the stability is greatly improved and the calculation time is greatly reduced for the real time control system.

  • Model development of disposable diapers disposal process

    Yi-Chun Yeh, Masatoshi Ogawa, Harutoshi Ogai, Kazuo Sakiyama

    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13     1327 - +  2006  [Refereed]

     View Summary

    In the society with high environmental consciousness, development of new treatment techniques in used disposable diapers, which are currently mostly disposed by incineration, is needed. In this paper, a new treatment technique for decomposing disposable diapers by microorganisms with cryptomeria chips is proposed. In addition, a small size disposal system has ability to process steady like a garbage disposal unit is expected to develop. For that reason, the disposal process of disposable diapers is modeled, and the parameters of constructed process model are defined according to the results of experiment. Then a simulation with the parameters is performed used SIMULINK and MATLAB.

  • Java-based Integrated Non-stationary Blast Furnace Simulator

    H. Ogai, M. Ogawa, M. Koga, M. Ito, S. Matsuzaki

    Proc. of IFAC Workshop - MMM' 2006 on Automation in Mining, Mineral and Metal Industry     179 - 184  2006

  • Generalization and Speed-Enhancement of Large scale database-based Online Modeling

    M. Ogawa, J. Tajima, H. Ogai, K. Uchida, M. Ito, S. Matsuzaki

    2006 CACS Automatic Control Conference     365 - 370  2006

  • Development of Process Model for Used Disposable Diapers

    Y. YEH, H. OGAI, K. SAKIYAMA

    2006 CACS Automatic Control Conference     360 - 364  2006

  • Development of generalized large-scale database-based online modeling and its speed-enhancement technology

    Junichi Tajima, Masatoshi Ogawa, Yuya Yoshinaga, Harutoshi Ogai, Kenko Uchida, Masahiro Ito, Shinroku Matsuzaki

    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13     973 - +  2006  [Refereed]

     View Summary

    In this paper, development of LOM with general versatility (Generalized LOM) and its speed enhancement technology are described. An existing LOM is rebuilt by using versatile database and Java to realize the "Generalized LOM". The Generalized LOM doesn't depend on the software platform and it is convenient to use the network and the visualization. Furthermore, the speed of the Generalized LOM is enhanced. The processing time is shortened without reducing the prediction accuracy.

  • Development of bridge diagnosis technology by independent component analysis

    Jong-In Cheon, Ming-Yuan Hsieh, Yi-Chun Yeh, Harutoshi Ogai, Hiroshi Inujima

    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13     2335 - +  2006  [Refereed]

     View Summary

    This paper focuses on maintaining a bridge's safety by developing a daily management system. And the purpose of this study is the development of the health monitoring system. It supports the maintenance by Independent Component Analysis (ICA) when there are some troubles in a bridge. The result of this study brings out the vibration behavior of the overall structure in a bridge. This vibration is caused by the external force such as heavy weight impact, wind pressure, and running vehicle. The character frequency was extracted from the analysis result using ICA and Spectral Analysis. When the vibration behavior caused by external force is very small in the bridge, ICA can detect the vibration response from the analysis result. Therefore, it is proved that the potential of detection was high by ICA.

  • Blast furnace operation support system integrated with partial unsteady simulator and LOM

    Masatoshi Ogawa, Junichi Tajima, Harutoshi Ogai, Masahiro Ito, Shinroku Matsuzaki, Kenko Uchida

    Proceedings of the 2006 IEEE International Conference on Control Applications, Vols 1-4     1523 - 1528  2006  [Refereed]

     View Summary

    In the field of pig ironmaking process, operation malfunction is caused by both enlarging a blast furnace and increasing use of low quality ore. Thus, operation support systems predicting a blast furnace performance are demanded. This paper reports a Java-based operation support system integrated with a "Large-scale database-based Online Modeling (LOM)" and a blast furnace simulator. The system predicts blast furnace performance by combining the partial unsteady simulator of the physical modeling method and the LOM of the local modeling method and supports the operation. To construct the system, the Java-based partial unsteady simulator is developed and the existing LOM is rebuilt by using versatile database and Java to realize the generalized LOM with general versatility. These systems are integrated by using Java.

  • Behavioral macromodeling of analog LSI implementation for automobile intake system

    Zhangcai Huang, Yasuaki Inoue, Quan Zhang, Yuehu Zhou, Long Xie, Harutoshi Ogai

    2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS     4659 - +  2006  [Refereed]

     View Summary

    Accurately estimating or measuring intake manifold absolute pressure plays an important role in automobile engine control. In order to achieve the real-time estimation of the absolute pressure, the high accuracy and high speed processing ability is commonly required for the automobile engine control system. However, the conventional numerical methods cannot satisfy the requirement of the strict time needed by high speed automobile engine. Therefore, in this paper, an analog LSI method is proposed to estimate this pressure in real time. Furthermore, a novel behavioral macromodel is given for further analog LSI design. Compared with conventional numerical method, the proposed method is highly advantageous in speed to simulate the automobile engine intake system.

  • Application of partial unsteady simulator and LOM for blast furnace operation support

    Masatoshi Ogawa, Yichun Yeh, Junichi Tajima, Harutoshi Ogai, Kenko Uchida, Shinroku Matsuzaki, Masahiro Ito

    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13     977 - +  2006  [Refereed]

     View Summary

    In the field of pig ironmaking process, operation malfunction is caused by both enlarging a blast furnace and increasing use of low quality ore. Thus, operation support systems predicting a blast furnace performance are demanded. This paper reports application of a partial unsteady simulator and a "Large-scale database-based Online Modeling (LOM)"for blast furnace operation support. First, the partial unsteady simulator constructed by using steady model as fundamental model is described. Second, a generalized LOM rebuilt by the existing LOM system is introduced. Third, a Java-based operation support system is described. The system is realized by combining the simulator of the physical modeling method and the LOM of the local modeling method. The system predicts dynamic molten pig-iron temperature in blast furnace. To predict the dynamic molten pig-iron temperature, a basic tank model of metal and slag is incorporated into. the simulator. Functions representing effect of pulverized coal injection are incorporated into the unsteady model.

  • Javaによる高炉統合シミュレータ

    小川雅俊, 大貝晴俊, 古賀雅伸, 内田健康, 伊藤雅浩, 松崎眞六, 田島和典

    計測と制御   45 ( 1 ) 37 - 42  2006.01

    DOI CiNii

  • Javaによる高炉統合シミュレータと統合可視化システム

    小川雅俊, 大貝晴俊, 古賀雅伸, 伊藤雅浩, 内田健康, 松崎眞六, 田島和典

    計測自動制御学会産業論文集   4 ( 13 ) 91 - 97  2005.10

  • Blast Furnace Operation Guidance by Java-based simulator

    M.Ogawa, H.Ogai, M.Koga, M.Ito, S.Matsuzaki

    SICE Annual Conference 2005 International Conference on Instrument,Control and Information Technology     3225 - 3230  2005.08

     View Summary

    This paper introduces Java-based blast furnace simulator and describes visualization system. The Java-based blast furnace simulator is constructed by integrating existing partial simulators. The visualization system provides integrated visualization information of real measured data and simulation result in order to support blast furnace operation. Furthermore, guidance method based on the simulation result which changes the manipulated variable in tuyere of blast furnace is described. © 2005 SICE.

  • Java-based Integrating Simulator for Blast Furnace

    M.Koga, M.Ogawa, H.Ogai, M.Ito, K.Uchida, S.Matsuzaki

    16th IFAC World Congress (Tu-M03-Tp/16)   6 ( 2 ) 6  2005.07

  • Embedded system chip design for medical image indexing and recognition

    L.Xie Y.Kigawa, M.Ogawa, H.Ogai, H.Abe

    16th IFAC World Congress (Fr-A03-TP/7)   8 ( 2 ) 5  2005.07

  • Application of Large scale datadase-based online modeling on blast furnace operation

    M.Ito,K.Mori, H.Ogai, K.Uchida, S.Saito, N.Sasaki

    16th IFAC World Congress (We-A03-TP/7)   6 ( 2 ) 6  2005.07

  • 微生物による紙おむつ廃棄処理システム

    葉怡君, 油井良太, 大貝晴俊, 馬見塚香織, 森田洋, 高林幸則

    システム制御情報学会学術講演会     541 - 542  2005.05

  • 大規模データベースオンラインモデリング

    内田健康, 大貝晴俊, 伊藤雅浩

    計測と制御   44 ( 2 ) 107 - 111  2005.02

  • The Control Processes of Waste Disposal System For Disposable Diaper Based on Biotechnology

    Yichun YEH, Harutoshi OGAI, Kaori MORITA, Hiroshi MORITA, Yukinori TAKABAYASHI

    2005 CACS Automatic Control Conference   i-two   144 - 149  2005

  • Java-based blast furnace Simulator and Operator Support

    M. Ogawa, H. Ogai, M. Koga, M. Ito, S. Matsuzaki, K. Uchida, Y. Tajima

    Proc. of 2005 CACS Automatic Control Conf   i-two   299 - 304  2005

  • Integrating Java-Based Simulator for Blast Furnace

    M. Koga, M. Ogawa, H. Ogai, M. Ito, K. Uchida, S. Matsuzaki

    Proc. of 16th IFAC World Congress    2005

  • Embedded system chip design for medical image indexing and recognition

    L. Xie, Y. Kigawa, M. Ogawa, H. Ogai, H. Abe

    Proc. of 16th IFAC World Congress    2005

  • Blast Furnace Operation Guidance by Java-based Simulator

    M. Ogawa, H. Ogai, M. Koga, M. Ito, S. Matsuzaki, K. Uchida, Y. Tajima

    Proc. of SICE Annual Conf. 2005, Int’l Conf. on Instrumentation, Control and Information Technology     3225 - 3230  2005

     View Summary

    This paper introduces Java-based blast furnace simulator and describes visualization system. The Java-based blast furnace simulator is constructed by integrating existing partial simulators. The visualization system provides integrated visualization information of real measured data and simulation result in order to support blast furnace operation. Furthermore, guidance method based on the simulation result which changes the manipulated variable in tuyere of blast furnace is described. © 2005 SICE.

  • Application of Large scale database-based Online Modeling of Blast Furnace operation

    Ito, M, Matsuzaki, S, Ogai, H, Mori, K, Uchida, K, Saito, S, d Sasaki

    Proc. of 16th IFAC World Congress    2005

  • 高炉大規模データベースオンラインモデリング

    伊藤雅浩, 松崎眞六, 大貝晴俊, 内田健康ほか

    鉄と鋼   90 ( 11 ) 59 - 66  2004.11

  • 高炉操業における大規模データベースオンラインモデリング(<特集>鉄鋼業における最新の計測,制御,システム技術)

    伊藤雅浩, 松崎眞六, 大貝晴俊, 大舘尚記, 内田健康, 齋藤信一, 佐々木望

    鉄と鋼   90 ( 11 ) 917 - 924  2004.11

  • 生体情報によるVisual Display Terminals (VDT)作業時の疲労評価(第一報) : VDT作業管理ソフトの使用経験

    内田和彦, 藤崎丈詞, 八谷百合子, 吉川里江, 織田進, 森晃爾, 大貝晴俊

    産業医科大学雑誌   26 ( 3 ) 315 - 325  2004.09

  • Development of the Blast Furnace Integrated Java-based simulator

    M.Koga, H.Ogai, M.Ogawa, M.Ito, K.Uchida, S.Matuzaki

    2004 IEEE International Conference on Control Application   2   1290 - 1295  2004.09

     View Summary

    Recently, the controlled object is complicated, and the improvement in performance enhancement (high precision and speedup) and safety of the control system is required, and the demand which simulates the whole system heightens. In this research, the method of unifying two or more partial simulators for one simulator was proposed. By applying this method to the partial simulators for Rabit model (the burden distribution computation model) and Bright model (the internal model) on the blast furnace, the blast furnace integration simulator was constructed. JNI(Java Native Interface) is used in order to integrate the simulator described in the different language, and RMI(Remote Method Invocation) is used in order to integrate the simulator which runs in the different environment (the multi- platform).These detail methods and the blast furnace integrated simulator are reported. ©2004 IEEE.

  • Large scale database Online Modeling for Blast Furnace

    Ito, M, Matsuzaki, S, Odate, N, Uchida, K, Ogai, H, Akizuki, K

    Proc. of 2004 IEEE Int’l Conf. on Control Application (CCA)     906 - 911  2004

    CiNii

  • ランアウトテーブル・ダウンコイラー・コイルヤード一貫形状予測シミュレータの開発

    大貝晴俊, 伊藤雅浩, 平山隆

    電気学会 金属産業研究会   MID-02 ( 7 ) 26 - 34  2002.11

  • The development of the ROT,DC,Coil-yard consistency shape prediction simulator

    H.Ogai, M.Ito, R.Hirayama

    2002 IEEE International Conference on Control Application    2002.08

  • The development of the ROT,DC,Coil Yard consistency prediction simulator

    Harutoshi Ogai, Masahiro Ito, Ryu Hirayama

    10th IFAC Automation In Mining、Mineral and Metal Processing     63 - 68  2001.09

  • 高度医療における医療ファクトデータベースの研究

    大貝晴俊, 大形英男ほか

    人工知能学会全国大会    2001.06

  • ファジィ推論による棒鋼圧延の無張力セットアップ

    大貝晴俊, 野口幸雄, 藤井章, 馬場勘次, 馬場誠, 石井仁

    塑性と加工   42 ( 483 ) 333 - 337  2001.04

  • 棒鋼圧延の多変数制御と精密圧延システムの開発

    野口幸雄, 馬場勘次, 大貝晴俊, 岡敏博, 石井仁, 馬場誠

    塑性と加工   42 ( 480 ) 70 - 74  2001.01

    CiNii

  • 線材圧延の多変数制御と精密圧延システムの開発

    野口幸雄, 大貝晴俊, 岡村邦彦, 樋爪隆祥, 田邊孝治, 吉村康

    塑性と加工   41 ( 472 ) 492 - 496  2000.05

  • Intelligent Control System of Steel Making Processes

    OGAI Harutoshi

    IEEJ Transactions on Sensors and Micromachines   118 ( 3 ) 276 - 279  1998.03

    DOI CiNii

    Scopus

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Books and Other Publications

  • Pipe Inspection Robots for Structual Health and Condition Monitoring

    Harutoshi Ogai, Bishakh Bhattacharya( Part: Joint author)

    Springer  2018

  • 自動車エンジンのモデリングと制御

    編著者, 申鉄龍, 大畠明

    コロナ社  2011.03 ISBN: 9784339046106

  • 高度知識化社会における情報管理

    村山 博, 大貝晴俊

    コロナ社  2003.04 ISBN: 4339026271

  • プロセス制御

    高津春雄

    コロナ社  2003.02 ISBN: 4339033618

Research Projects

  • Real-time SLAM for Dynamic Environments

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research

    Project Year :

    2019.04
    -
    2022.03
     

  • System development to realize transillumination and functional imaging of animal body using safe light

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research

    Project Year :

    2017.04
    -
    2020.03
     

    Shimizu Koichi

     View Summary

    To realize 3D transillumination imaging of internal body structure and physiological function, we integrated our principles to establish a new technique, and developed a test system. Through this study, we achieved the following results.
    (1) An inverse scattering problem was solved to obtain internal structure in a turbid medium using scattered light from the medium. (2) Blurred transillumination image could be improved by the deconvolution with a point spread function. (3) The problem of image blur was resolved using the convolutional neural network obtained by deep learning. (4) The feasibility of 3D transillumination imaging was confirmed using a tissue-simulated model phantom. (5) A test system was designed and manufactured. (6) The feasibility of functional imaging was confirmed in the identification of vein and artery in a transillumination image. (7) 3D functional transillumination imaging was achieved in animal experiments.

  • 無線センサネットワークによる社会基盤の安全・高効率化の基礎研究

    科学研究費助成事業(早稲田大学)  科学研究費助成事業(基盤研究(B))

    Project Year :

    2013
    -
    2015
     

     View Summary

    (1)無線センサモジュールと無線電力伝送システムの設計・試作(大貝) 無線センサモジュールの小型化と省電力化を、低消費RFモジュール、マイコン、加速度センサを選定して試作した。また、無線電力伝送技術の改良を、送信アンテナの指向性向上、受信側のレクチナの改良により行なった。
    (2)橋梁診断方法の拡充(犬島、大貝) 橋梁診断方法について、技術整理を行うとともに新診断技術について研究し診断ソフト試作を行なった。ARMAモデルとPCAを用いた劣化度診断方法、ウェブレット変換とその可視化のよる劣化度の診断方法を検討した。
    (3)照明シミュレータの開発と大規模オフィスの照明最適化制御の開発(大貝) 大規模オフィス照明シミュレータについて検討し、照明装置と照度センサの関係をRBFニューラルネットワークによりモデル化についてする方法を確立した。また照明装置の最適制御方法の改良検討を行なった。また、1センサを用いた制御方法について検討した。実際のビルにて実証試験をおこない、大きな省エネ効果を確認した。
    (4)車々間通信システムの改良、隊列制御実験(大貝) 車々間通信システムについ2台の車車間通信システムの開発と安定化について検討し、試作実験評価した。また、隊列制御の高精度化、安定化について検討し、改良試作を行い、実験により性能評価した。

  • 高炉トータルシミュレータの研究

    Project Year :

    2005
    -
     
     

  • センサネットによる大型構造物長寿命化技術

    Project Year :

    2005
    -
     
     

  • 数値計算アルゴリズムの構築および次世代ECUの開発

    Project Year :

    2004
    -
     
     

  • 独立成分分析の専用LSIの研究

    Project Year :

    2003
    -
    2004
     

  • 実世界指向プロセスシミュレータと創造的操業解析ガイダンス研究

    Project Year :

    2001
    -
    2004
     

▼display all

Misc

  • Deep 3D Object Detection Networks Using LiDAR Data: A Review

    Yutian Wu, Yueyu Wang, Shuwei Zhang, Harutoshi Ogai

    IEEE Sensors Journal   21 ( 2 ) 1152 - 1171  2021.01

    Book review, literature introduction, etc.  

     View Summary

    As the foundation of intelligent systems, machine vision perceives the surrounding environment and provides a basis for decision-making. Object detection is the core task in machine vision. 3D object detection can provide object steric size and location information. Compared with the 2D object detection widely studied in image coordinates, it can provide more applications of detection systems. Accurate LiDAR data has a stronger spatial capture capability and is insensitive to natural light, which makes LiDAR a potential sensor for 3D detection. Recently, deep neural network has been developed to learn powerful object features from sensor data. However, the sparsity of LiDAR point cloud data poses challenges to the network processing. Plenty of emerged efforts have been made to address this difficulty, but a comprehensive review literature is still lacking. The purpose of this article is to review the challenges and methodologies of 3D object detection networks using LiDAR data. On this account, we first give an outline of 3D detection task and LiDAR sensing techniques. Then we unfold the review of deep 3D detection networks with three kinds of LiDAR point cloud representations and their challenges. We next summarize evaluation metrics and performance of algorithms on three authoritative 3D detection benchmarks. Finally, we provide valuable insights of challenges and open issues.

    DOI

  • The 4th Annual Conference of Control Division

    OGAI Harutoshi

      43 ( 11 ) 920 - 920  2004.11

    CiNii

  • Instrument & Control Lab., Process Technology Research Laboratories, NIPPON STEEL CORPORATION

    OGAI Harutoshi

      41 ( 6 ) 232 - 233  1997.06

    CiNii

  • Artificial Intelligence Application for Steel Manufacturing

    OGAI Harutoshi, Harutoshi Ogai

      9 ( 2 ) 225 - 232  1994.03

    CiNii

Industrial Property Rights

  • プロセスの状態予測方法

    大貝 晴俊, 小川 雅俊

    Patent

  • プロセスの状態予測方法

    大貝 晴俊, 小川 雅俊, 葉 怡君

    Patent

  • プロセスの状態予測方法

    5707230

    草柳 晃介, 大貝 晴俊, 小川 雅俊, 葉 怡君

    Patent

  • プロセスの状態予測方法及びそれを用いたプロセス制御装置

    葉 怡君, 大貝 晴俊, 川成 翔, 小川 雅俊

    Patent

  • エンジン制御パラメータ適合化装置及びプログラム

    大貝 晴俊, 小川 雅俊, 草鹿 仁

    Patent

  • 応答曲面モデル構築装置及びプログラム

    大貝 晴俊, 小川 雅俊, 草鹿 仁

    Patent

  • プロセスの状態類似事例検索方法及びプロセスの制御方法

    5176206

    大貝 晴俊, 小川 雅俊, 葉 怡君

    Patent

  • 支承センサ装置

    大貝 晴俊, 坪内 俊介

    Patent

  • 大型建造物支承センサシステム

    大貝 晴俊, 井上 靖秋

    Patent

  • 大型建造物の診断データ収集システムおよび方法

    大貝 晴俊, 山内 規義, 犬島 浩, 武捨 裕太

    Patent

  • 大型建造物の診断システム、大型建造物の診断プログラム、記録媒体および大型建造物の診断方法

    5145501

    大貝 晴俊, 山内 規義, 犬島 浩, 町田 郁子, 片座 慎吾

    Patent

  • 製造プロセスの操業状態の予測方法、装置、コンピュータプログラム、及びコンピュータ読み取り可能な記憶媒体

    4691005

    内田 健康, 大貝 晴俊

    Patent

  • 信号処理方法、信号処理プログラムおよび記録媒体

    大貝 晴俊, 犬島 浩, 山内 規義, 謝 明原

    Patent

  • 観測信号処理方法、観測信号処理システム、観測信号処理プログラムおよび記録媒体

    大貝 晴俊, 解 龍, 山内 規義

    Patent

  • プロセスの操業状態の制御方法、装置、及びコンピュータプログラム

    4488964

    内田 健康, 大貝 晴俊, 森 憲一, 秋月 影雄

    Patent

▼display all

 

Overseas Activities

  • 欧州での自動運転研究調査と危険予知探究(HPI)、インフラ設備の診断技術の研究(IITK)

    2016.10
    -
    2017.03

    ドイツ   ミュンヘン、アーヘン工科大学

    ドイツ   ブラウンシュビッツ、ダルムシュタット工科大学

    フランス   ナビア社

    インド   インド工科大学カンプール校

    イギリス   ホリバミラ

Internal Special Research Projects

  • 磁気センサを用いた高速鉄道のオンライン診断技術研究

    2018  

     View Summary

    本研究では、磁気インピダンス効果を利用したMIセンサの応用として、鉄道レールの欠陥検出を目指している。最初にMIセンサは、自動運転において、走行道路に敷設した微弱な磁気マーカを検知するセンサとして試用した。走行車両に取り付け、センサの取り付け位置の確認、検出精度について確認を行った。定距離(2m)に配置した磁気マークを、連続的に検出し、道路の幅方向に車両に配置したMIセンサから。走行位置を検出し、車両の位置づれをも求め自動制御する試験を行った。現在、制御性能の向上を行っている。MIセンサの欠陥検出実験として試作した配管検査ロボットにこのセンサを取り付け、ロボットを走行させ、欠陥が検出できるか行った。比較センサとして圧電素子を用いたが、検出性能が、より高く、高応答であることが判明した。配管検査ロボットへの本格応用とともに、最終目標であるレールの上層の欠陥検出について、センサの配置およびその性能把握について実験を行っている。

  • 小型電気自動車における全天候型自動運転とその活用研究

    2018   Pan Xun, 犬島浩

     View Summary

    小型電気自動車COMSおよびゴルフカートを改造した搬送車両を対象に、天気の良い日、悪い日、昼夜を自動運転できるシステムについて研究した。ステレオカメラを中心に、全天候で、車や人などの障害物を認識するために、深層学習により障害物認識機能を実現した、更にレーザレンジファインダでの障害物認識機能を開発しその統合を検討している。この結果、全天候で対応できるようになった。自己位置認識では、安価なRTKGPSシステムを用いて現在位置と方位を求めている。走行経路は、このRTKGPSを搭載した車両を走行させ、そのデータが作成している。この経路への追従制御についてはPID制御、モデル予測制御を併用した。また停車車両があれば、追い越しするロジック、人を認識した場合は停止するロジックを付加した。この結果、目的地まで安定した走行が可能となった。大学の周りにテストコースを設定し、全天候型自動運転システムの性能を評価した。本自動運転機能を搬送車両にも搭載し、工場間の自動運転搬送システムを開発し、走行試験を行い無人で安全走行できることを確認した。COMSについては、一般道路を安全できるように走行試験を準備している。

  • 超軽量車両ULVを用いた運転支援・自動運転システムの研究開発

    2016   大貝晴俊

     View Summary

    超軽量車両ULVの自動運転機能の基礎研究を行った。環境エネルギ研究科の小野田准教授からULVのベース車両を借用し、この車両に自動ブレーキ装置および自動ステアリング装置の開発を行った。ブレーキ装置については、既設の油圧ブレーキに追加して自動制御できる油圧ブレーキ装置を付加する形で、自動運転時に手動のオーバライドが可能な構造とした。リニアアクチエータを用いて油圧ブレーキを駆動できるようにした。自動ステアリング装置については、ハンドルの手動操作により、自動制御から手動制御に戻せるように新たなセンサ機構を考案して、自動ステアリング装置を試作した。

  • 超軽量車両ULVを用いた運転支援・自動運転システムの研究開発

    2016   大貝晴俊

     View Summary

    超軽量車両ULVの新しい車両を試作した。これまでのULVが前輪2輪、後輪1輪(インホイールモータ)の3輪であったのに対し、今回は後輪を狭幅の2輪の4輪として、車体の安定性を高めた。自動運転を行うために、自動ブレーキ装置を開発した。フットブレーキの先端をリニアアクチュエータで引っ張る形で自動ブレーキ装置を開発した。マイコンからブレーキパターンを制御することで、自動ブレーキが駆動できることを確認した。自動ステアリング装置については、3輪のものより小型化するように再設計した。自動運転システムとして、前方にWebカメラを2式取り付けて、ステレオ化して、人や障害物を認識して、ブレーク動作やステアリング動作がでいるように準備した。

  • 高齢者用小型電気自動車の自動運転技術の研究

    2014  

     View Summary

    [目的] 本研究では、高齢者用低速・短距離エコ自律走行システムの開発を目的とする。そこで、本研究では、低コストなステレオカメラ・超音波センサにより障害物回避、追越し、車線変更、信号停止などの動作を行いながら目的地まで自律走行させ、高齢運転者の操作を最低限に抑え、より安全、スムーズな走行を実現する。[結果] 自動車学校の模擬公道走行実験における自動運転デモの結果について述べる.自律走行テストは北九州市の若戸自動車学校で行った。走行速度を30Km/hで行った。目的地Eを設定し、スタート地点Sから走らせた。走行ルートはカーブ4つ、信号機1つ、登坂1つと下り坂1つで構成された。走行距離:は約260Mです。COMS車はSの位置から走行し、経路計画に基づく走行制御を行った。走行中に環境認識センサによって、走行方向を維持しながら目的地Eへ走った。走行中に白線認識と道路認識により車線維持走行を行った。信号機認識による停止線で一時停止を行った。カーブでは自動減速(10KM/h)で走行した。目的地Eに到着したら、自動ブレーキをかけ停止した。

  • ディーゼルエンジンのモデルベース過渡制御の研究

    2013  

     View Summary

    ディーゼルエンジンのモデルベース制御技術開発において燃費向上と排出ガス削減が課題である。その制御として、多段噴射の噴射タイミングと噴射量の最適設定が課題である、定常時の最適設定では、物理モデルあるいは統計モデルにより、燃費や排ガスを予測する燃焼モデルを作成し、PSO(粒子群最適化)を用いて、最適な設定量を求めてきた。ディーゼルエンジン制御の課題の一つは、過渡制御と呼ばれ、エンジン速度変更中にも、NOxやすすの排出削減とBSFC(燃料消費率)の向上を検討した。本研究では、過渡での燃焼モデルとして、状態空間モデルの作成を行った。また、ロバストフィルタによるモデル精度向上を図った。過渡制御としてモデル予測制御MPCコントローラを用いた制御システムを提案した。単気筒ディーゼルエンジンの加減速過渡過程において、この方法を適用することにより、排出量を削減し、燃費を向上できる可能性および有効性を検証した。状態空間モデルは、過渡状態のディーゼルエンジンの動的特性を表現する数学的モデルを構築するために使用した。PSO(粒子群最適化)を用いて、状態空間モデルの係数行列を求めることを提案した。またロバストフィルタリングは、モデルの予測精度向上のために、ノイズ除去に使用した。過渡制御として多入力多出力MPCを用いて、過渡時の排ガス削減と燃費向上を実現する制御システムを提案した。シミュレーションにより過渡状態でのMPCの性能を評価し、良好な制御結果を得た。単気筒ディーゼル実験装置の制御システムを構築して、実験を行う予定である。」 EGRを用いた燃焼モデルの作成についても検討した。PSOを用いて、多段噴射の噴射タイミング、噴射量、およびEGRの最適設定によりNOxを大きく削減することができた。 ターボチャージャについて、その性能向上について検討した。単気筒ディーゼルエンジン実験装置の既存のターボチャージャより小型のものについてオフラインで過給圧性能について、オフライン実験により、性能向上が期待できることがわかり、今後、実験装置に組み込む予定である。

  • 社会基盤診断のための情報・エネルギー伝送制御と診断技術の基礎研究

    2012  

     View Summary

     高度成長期に非常に多くの大型建造物が建設された。中でも橋梁はその4割が高度成長期に建設されており、一斉に更新時期を迎えつつある。老朽化した橋梁の安全性を確保するためには、従前にも増して点検が重要であり、安価で信頼性の高い画期的な点検手法の実用化が望まれていた。 このようなニーズに応えるために、文部科学省の知的クラスター創成事業の成果および経済産業省の地域コンソーシアムおよび地域イノベーション事業では、無線センサネットワークを用いて橋梁など建造物の日常および緊急時の健全度診断システムを開発した。そこで開発された技術は、無線センサモジュールの開発と、バッテリシステムの開発、日常診断のための走行車両によるデータ収集システムの開発と緊急時診断のための公衆回線によるデータ収集システムおよび健全度診断である。 この開発事業により、無線センサモジュール、中継器、ネットワークモジュール、データ収集システムの試作を行い、実橋梁での実験によりその性能の確認を行った。また、独立成分分析や伝達関数を用いた橋脚や上部工の亀裂などの基本診断アルゴリズムを明らかにしてきた。 老朽化する橋梁に対してその健全度診断を遠隔から安価に、簡単に長期にわたって実施するためには、無線センサモジュールの低消費電力化と無線電力伝送の改良を行った。無線センサモジュールの低消費電力化では、低消費電力の2.4GHzのZigBeeモジュールとディジタル加速度センサとR8マイコンを用いた無線電力の試作を行い、ピーク池の消費電力を50mWに抑えた低消費電力化を達成した。 このモジュールで、3個の無線ンサモジュールによるx、y、zの加速度信号の収集とコーディネータまでの無線伝送およびLabViewによるリアルタイム表示を可能とした。 また、伝送距離が10m以上と長い電波方式による無線電力伝送装置の開発を行い、電力伝送用周波数としては、ICタグなどで活用され電波法上出力することが許されている950MHz(UHF帯)を使用した。無線センサモジュールのバッテリとしてリチウムイオンバッテリを接続し、レクチナ、昇圧回路、充電回路からなる無線電力伝送システムによる充電のテストを行い、動作可能であることを確認した。さらに無線センサモジュールの同期計測を実現するため、最新の同期アルゴリズムを考案してマイコンに実装してテストし、良好な結果を得た。

  • 社会基盤診断のための情報・エネルギ伝送制御の基礎研究

    2011  

     View Summary

    無線センサー装置の使用においては従来は有線による電源供給や一次電池が必要であったが、低消費電力の無線電力受電装置の開発により電波により10m程度の距離からの給電を可能にした。橋梁の健全度診断無線センサーネットワークなど電源の敷設、交換が困難な応用に適用できる。本テーマで開発した無線電力伝送における受電側の省電力変換器においては、変換器全体で100uW以下で出力電圧2-4vを得ることを目標とした。具体的に変換器を構成する、各ブロックにおいて以下を目標とした。 A.レクティナ(アンテナ+整流器):アンテナの動作利得7dBi以上、変換効率35%以上(入力電力100uAの時) B.昇圧回路:1v以下からの昇圧。動作電流 40μA以下 C.充電制御回路:4.2vのリチウムイオン電池を充電可能な事。動作電流は数uA以下。これらが実現できれば、変換器全体で100uW以下で動作可能となり、10mの距離での電力伝送が可能となる。 更に、無線電力伝送の蓄電においては、一般的な二次電池のへの充電電流に比べ相当程度少ない充電電流であるため、充電時間を最適にするため、無線センサーの稼働による電池残量のモニターが必要となる。本研究開発のシステムでは、無線電力伝送による充電時間と、無線センサーによる電池残量との評価を行い、電池残量のデータを無線センサーを介してホストサーバにあげることで、最適と思われる送電装置の制御を行なった。換言すれば、充電が十分されているのに送電装置が給電していることは無駄なエネルギーの損失となり、電池残量が少ないのに給電されていない事は、センサーシステムの不用意な機能不全につながるので、本研究開発で最適と考えられる無線電力伝送の制御システムを開発した。 電波方式による無線電力伝送の受電器を設計・試作・評価を行い、距離10mにおいて、二次電池の充電を行い、無線センサーモジュールを間歇的ではあるが駆動できることを実証した。 今後の課題は、無線センサーモジュールの動作時の低消費電力化を図ることにより、駆動可能時間を向上させる。二次電池残量をモニターと送電器の出力を制御することまでできれば制御システムとしてはより高機能化できる。

  • センサネットワークにおける情報とエネルギ伝送制御およびエコ技術の基盤研究

    2010  

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    センサーネットワークを用いた橋梁診断システムの研究において、無線センサのバッテリの長期化が課題である。また、橋梁診断システムのバッテリやセンサの良否を判断する診断方法が課題です。 前者について、無線方式による電力伝送方式について検討している。無線タグで用いられている数百KHz域の無線を用いた電力伝送について検討している。無線タグ用のリーダから送信された電力を受信を受信する小型レクチナと電圧の昇圧回路を試作し、無線電力伝送の実験を行った。今後、橋梁の無線センサで消費したバッテリを充電する回路を準備し、その性能を評価、改良を行う。 後者について、橋梁診断システムの状況を診断するソフトウェアを構築した。今後、実際の現場で評価・改良を行う。

  • 小型無線式フレキシブル下水管ロボットの研究開発

    2010  

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    小型無線式フレキシブル下水管ロボットとして、(1)回転プローブによる接触式欠陥検査方式について、凹および凸の欠陥の検出特性について実験を行なった。欠陥の程度により、ピエゾフィルムの曲がりに応じた電圧変化があること、プローブの振動があること、欠陥の形状のよりいくつかの検出パターンがあることが判明した。このパターンにより欠陥の形状と程度を把握するアルゴリズムを考案した。カメラ画像による欠陥の判別のための画像の平面展開のリアルタイム処理について検討し、実際の検査ロボットのマイコンに実装した。無線の遠距離化について、2台の配管ロボットで中継を行う方法について検討し、近くの側溝で実験を行い、中継により距離が延長できることを確認した。今後、カメラ方式、回転プローブ方式を併用した検査ロボットの実装を行い、引き続き試験を行う。

  • 衛星通信およびセンサネットワークを用いた橋梁診断の総合研究

    2009  

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    無線センサネットワークを用いた橋梁診断システムについてその実用化の研究開発を行った。①無線センサネットワークシステムの拡張として中継器のマルチポップ化をおこなった。センサーデータの同期を取るために、マルチポップの遅れ時間を検討し、ネットワークモジュールからのデータ収集命令の同期性を確保した。②無線センサネットワークシステムの健全性を把握するためのシステムを構築した。ネットワークモジュールから中継器、センサモジュールに、R信号を送りその応答具合からセンサや中継器の健全性を把握できるようになった。③データ収集モードとして、試験モード、地震などの緊急モード、定期モニタリングモードの実装について検討した。④診断方法として、橋脚および桁について、旧神戸橋の損傷実験データ、その他の実橋梁データを用いて検討した。独立成分分析、ウェブレット変換、伝達関数などを用いて診断方法について検討をおこなった。⑤ネットワークモジュールのバッテリについて太陽電池、風力発電について検討し、太陽電池の利用により商用電源が使えない場所でも利用可能であることを立証した。⑥無線センサモジュールはニッケルイオン1次電池を使用しているが、外部からエネルギーを無線伝送により送電できないかその基礎検討をおこなった。

  • 微生物を利用した小型廃棄物処理技術の基礎研究

    2008  

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    現在,少子化により子供用紙おむつの需要は減少傾向にあるが、一方で高齢化社会に伴い大人用紙おむつの需要は増加している.紙おむつは排泄物と大量の水分を含み焼却処分では環境への負荷は大きい.そのためその廃棄処理が大きな問題となっている. そこで、一般家庭,医療用施設で手軽に使える紙おむつ処理機の設計開発を目指して、微生物を利用した小型廃棄物処理技術について基礎研究と大型実験装置を用いた分解実験を行った。 本年の成果のひとつは、高セルロース分解能力を有する新しい菌の分離を行ない、従来の分解菌に比べ4、5倍の分解能力を持つ土壌菌で、1昨年度に分離した菌(Yui菌)よりもさらにその1.5倍分解能力をもつ菌を分離することに成功した。また生成する酵素および菌自体の成長環境としの至適温度や至適PHが、適切であることが50度近辺であることが実験によって確かめられた。その至適温度は、病原菌を抑える温度としても有利といえる。 成果の第2は、大型のごみ処理装置を用いて紙おむつの分解を行い、その分解処理能力について、具体的に確かめたことにある。地元企業のごみ処理装置を借用して、水分を含ませた大量の紙おむつを連続して処理し、分解処理の可能性を明らかにした。この大量の紙おむつ分解処理を、日に10枚、20枚、30枚、50枚投入しても処理できることを確認した。また紙おむつの主成分であるセルロースが時間とともに消失していくことも確認した。8 日間の紙おむつ積算投入量は計51.2kg,それに対して紙おむつの積算減少量は約44.1kgであり、約9割分解していることがわかる.

  • 無線通信を用いた配管内検査ロボットの開発

    2008  

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     これまで、無線を用いた配管検査ロボットについて、テスト用の鋼管や陶管についてその無線伝搬テストを行い、無線器の試作を行ってきた。また手作りの走行ロボットにその無線器を搭載して、鋼管および下水管(陶管)で電波の伝送やカメラ画像を送信可能であることを確かめた。 今年度は、下水管用の実用的な検査ロボットを試作した。直径250mm用の下水管ロボットを対象に、北九州市の石川鉄工所の有線式ロボット「もぐりんこ」をベースにして試作した。検査用のカメラとして、Webカメラを搭載した。無線通信およびバッテリシステムの試作を行い、本体に組み込み、走行テストと配管内の様子を無線を通じて観察できることを確認した。無線通信器として、小型PCボードとシリコンディスク、無線LAN用子機にアンテナを搭載した、コンパクトな構成としている。また、電池として、リチウム2次電池を用いた充電式のバッテリシステムとして試作した。走行制御は、PWMによるモータ制御により実現している。Webカメラ映像の高速伝送について、検討を行っている。 今後、インド工科大学カンプール校と共同してこのロボットの検査能力の増強を検討している。接触方式による配管内部の強度把握について検討を行っている。 次年度は、配管内の欠陥検出について、カメラ方式と接触方式について継続して研究開発を行う。

  • 微生物を利用した廃棄物処理制御の基礎研究

    2007  

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    使用済み紙おむつの微生物による分解について検討し、杉チップ由来微生物群および市販セルラーゼによるセルロースの分解、金属イオンによる高分子吸収剤の分解の研究を行ってきた。本課題研究では、紙おむつ廃棄物処理システムのモデリングと制御について検討した。実験結果による微生物の増殖特性に基づいた、紙おむつ廃棄物処理プロセスモデルを構築した。さらに最適な増殖温度で効率的な紙おむつ廃棄物処理システムを実現するため、選択制御のよる制御系を設計した。すなわち、紙おむつが短時間で分解されるように、微生物増殖の最適温度条件を考慮した上で、「ヒータに加える熱量」を選択制御で決定する制御系である。プロセスの制御変数である「紙おむつ量」および「装置内温度」をPI制御によって調整を行い、補正した値をLSSの選択基準によって評価し、制御変数の中から最も優先的に制御すべき変数を選択し、熱量としてプロセスに入力した。なお、温度を微生物群の増殖至適温度域に維持するために制約条件をつけている。設計した制御系の有効性をシミュレーションによって確認した。 次に、紙おむつの完全分解の研究のために、生分解性プラスチックについて基本調査をおこなった。生分解性プラスチックには、1)微生物生産系、2)でんぷん系、3)セルロース系、4)乳酸系、5)PBS系(ポリブチレンサクシネート系)がある。その中で、3)のセルロース系として、酢酸セルロース系のセルグリーン(ダイセル化学工業)、2)のでんぷん系のデンプン主原料系のマタービー(日本合成化学工業)が候補となる。 紙おむつ処理装置の設計のために、紙おむつの破砕機について、チェーン回転式のものと試作検討した。ある程度、裁断後に細かく破砕できることがわかった。

  • 大規模熱プロセスのモデルベース・データベース統合非線形制御の研究

    2007   小川雅俊, 立野繁之, 内田健康

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     本研究では,廃棄物処理プロセスの操業支援を行うためにLOMを廃棄物処理プロセスに適用し,プロセス値を実用上十分な精度で予測するために,廃棄物処理プロセスのためのLOMシステムを構築し,さらにLOMによるガイダンス方法(制御手法)を提案した.LOMによるプロセス値の予測精度向上を図るために,廃棄物処理プロセスデータのノイズ除去方法を検討し,データの平滑化処理をシステムに具備し,予測に適切なサンプリング間隔を検討した.さらに,操業支援を図るために,LOMの技術を用いたガイダンス方法を提案した.この方法は,まず現在の操業データと将来の制御変数の目標値が類似した過去事例データをデータベースから検索し,検索された過去事例データ群から現在の操作量と比較して操業上問題のない操作範囲である操作量を制御入力と決定し,オペレータ等に提示することによって操業支援を行うことを提案した. また、LOM によってプロセスの予測をしようとした場合、LOM はプロセスの将来の操作変数による影響を考慮しておらず、一般的な操作が施されたときのプロセス値の予測が行われる。そのため、将来の操作量の影響が大きく反映されるほどの長期的な将来予測は一般的に困難である。長期的な将来予測を実用上十分な予測精度で予測するには、将来の操作変数の影響を考慮した予測手法を実現することが課題となる。そこで,本研究では、LOM ではまだ報告されていない,最初に一度だけ必要な現在のプロセスの情報をすべてLOMに与え,1 ステップ先の予測をLOMで行い,その後は得られた予測値と設定した操作量だけを利用して1 ステップ先の予測処理を繰り返すことによって,プロセスの操作変数の影響を考慮し、プロセスの数時間後の長期の将来予測を行う逐次予測システムを構築する。本システムは、事前に将来の数時間先の操業パターンが設定されている場合に、操業パターンの影響を反映したプロセス挙動を予測し、評価できる。また、適用対象プロセスの一例として、入力される熱量変動が大きく炉内物理現象が複雑な工業炉プロセスを取り上げ,システムの有効性を検証した.

  • 微生物を利用した環境制御技術の基礎研究

    2005  

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     これまでの研究では使用済み紙おむつの微生物による分解について検討し、杉チップ由来微生物群および市販セルラーゼによるセルロースの分解、金属イオンによる高分子吸収剤の分解の研究を行ってきた。しかし、微生物と処理物との接触面が小さく、また分解できないプラスチックの残渣の回収が困難であることから、新たな視点からの処理アプローチを検討する。そこでは、新たにセルロース分解活性を持つ微生物群を含む液体培地での分解処理を検討した。 本研究では液体培地処理を想定した微生物によるセルロース分解活性の基礎的な研究を行い、セルロース分解に最適な条件の決定とその処理性能を把握することを目的とした。まず、土壌サンプルから有用微生物の選定を試みた。サンプルは高知県大正町および窪川町でサンプリングされたものを用い、セルロース培地にて48時間培養後セルラーゼ活性をDNS 法で測定した。結果、No.30から単離された微生物に可溶性セルロース(CMC:カルボキシメチルセルロース)に対する非常に高いセルラーゼ活性が認められた。この微生物の有用性について検討するため、異なるセルロース(Avicel、CMC、Avicel+CMC、濾紙)におけるセルロース分解活性DNS法で測定した。しかし、Avicel+CMCにおいては高い活性を示したものの、濾紙についてはまったく活性を示さなかった(0mg/ml/h)。微生物は微量金属の添加により、著しい酵素生産の向上を示すことがあることが知られている。そこで、セルロース分解細菌として知られているThermobifida fusucaの培養培地に用いられている微量金属をセルロース培地に添加し、同様にして活性を測った。その結果、濾紙におけるセルラーゼ活性が認められた(0.05mg/ml/h)。最後に、実際の紙おむつ本供試菌株の有用性について実際の紙おむつセルロースの分解試験を行ったところ、分解が認められた。液体培地による廃棄物分解処理の具体的な装置イメージの検討を行い、概要図にまとめた。

  • 微生物を利用した廃棄物処理制御の基礎研究

    2004  

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    高齢化社会に伴って、紙おむつのニーズは日々高くなっている。それに対して、使用済紙おむつの処理により、ダイオキシンの発生など、環境に悪い影響を与える恐れがあり、また、処分施設の数、残余年数とコスト面を考えて、紙おむつの処理問題は将来の社会的な課題になると考えられている。そこで、バイオ技術を用い、北九州の地元企業と北九州市立大学との共同研究で、使用済紙おむつを自然に分解する研究を行った。 本研究では、木材(杉チップ)由来の微生物群を利用して、排泄物と紙おむつ組成成分に半分くらい占めているセルロースを完全に分解することを目指した。 杉チップで排泄物が分解できることは、先行研究で証明されている。菌による紙おむつの消滅分解率を向上させるため、酵素(セルラーゼ)の力を用いて、セルロースの構造を破壊し、菌に分解しやすい形とした。また、微生物群の増殖に必要な栄養源を考え、紙おむつに対する菌の分解力を最大限高めることを試みた。 次に、菌に分解できないプラスチックの分解について調べた。また、金属イオンを用いて、紙おむつにおける吸水材として使われている高分子吸収材(高分子ポリマー)の分解試験を行い、ほぼ水に分解できることがわかった。 最後に、上記の実験から得られた結果を用いて、実際に小型装置で紙おむつの分解試験を行ないプラスチック部分を除いてほぼ分解できることを確認した。。

  • 医療・環境情報の自動収集とデータベース化に関する基礎研究

    2004  

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     World Wide Webの技術開発によりインターネットは大いに普及して,インターネット上には現在,80億ページを超える膨大な量のWebページが公開されている.現在もWebページ数は増え続けているが, 8割~9割のページ数が数ヶ月間は更新されていないことが判明されている.永久にWebページの内容が『更新されないまま』とは断定できず,いつかは更新または抹消されてしまう可能性がある.そのような状況においては,インターネット上にある情報を‘必要性’を感じたら,即,確保(保存)しておく必要がある.そこで本研究では,個人が“重要”と判断した情報をインターネット上から自動収集し,さらに収集した情報(データ)を選別・分析し,目的に合った情報だけを抽出し,必要な形に整形して分類・整理してデータベースへ格納するという“重要情報検索システム”を構築した. ここで,様々な環境に身を置く,価値観の異なる‘個人’ の“重要度”をどう定義するかを,まず検討した.その結果,万人に合致した“重要度”を定義することは現段階では,難しいと判断した. そこで,“重要情報”を必要とする側に視点を移し,対象を絞り込んだ.対象者は,企業の技術者,研究者,学生等と限定し,彼らが必要とする“重要情報”として,『有用性』をポイントに4項目を特定した.それが【論文】,【書籍】,【技術解説記事】,【製品情報】である.この4つの“重要情報”をインターネット上にある情報から検索,収集し,抽出,格納するシステムを構築した.   “重要情報”を定義し,インターネットから特定分野に依存せずに,インターネット上からその重要情報を自動収集すること,利用しやすい形に加工して,データベースに自動的に蓄積・保存すること,これらを実験システムとして構築することによりその実現性と有効性を確認した.

  • Java」による一貫圧延・冷却プロセスシュミレータの研究

    2003  

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     Javaを用いて、FortranやC言語で作成した部分シミュレータを統合するプロセスシミュレータの統合技術を開発した。JavaのJNIを用いてFortranのコモンブロックとCの構造体、そしてJavaのクラスを相互対応できるようにしたことと、部分シミュレータを共有ライブラリ化して、Javaからそのラブラリィに登録したプログラムを起動できるようにした。また、JavaのRMI技術を用いることにより、分散環境で、部分シミュレータを実行することも可能となっている。 このJavaのシミュレータ統合技術を、熱延の圧延、冷却プロセスに適用し、一貫の圧延・冷却シミュレータを構築し、シミュレーション実験をおこなった。また、実際の熱延プロセスで実測した温度データと冷却後の最終形状の実測値より形状の予測精度を検証した。良い結果が得られ、一貫プロセスシミュレータの有効性が確認できた。 圧延および冷却過程での形状の変化過程については、FEMの結果と比較した結果、よい計算精度を実現していることが判明した。 圧延の計算モデルは、4重および六重圧延機の圧延の幅方向の板厚分布と張力分布を計算できるものである。冷却モデルは、ランアウトテーブル、コイラー、空冷を計算できる汎用計算モデルとして実装している。 Javaの統合シミュレータ環境で、上記の圧延モデルを複数の圧延スタンドとランアウトテーブル、コイラー、コイル置き場、精整工程での冷却モデルを順次起動して一貫の圧延・冷却シミュレーションを実現している。 今後の課題として、一貫の形状制御や材質制御について検討していく予定である。 

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