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Robotics, Engineering, science, and technology (RESTCON), International Conference on

作者： Panart Khajornrungruang Thitipat Permpatdechakul Keisuke Suzuki Aran Blattler Yutaka Terayama Daiki Goto Pipat Phaisalpanumas Natthaphon Bun-Athuek Amornphun Phunopas Dept. of Intelligent and Control System Faculty of Computer Science and Systems Engineering Mechanical Science and Technology Division Kyushu Institute of Technology Iizuka-Shi Fukuoka Japan Dept. of Interdisciplinary Informatics Graduate School of Computer Science and Systems Engineering Mechanical Information Science and Technology Division Kyushu Institute of Technology Iizuka-Shi Fukuoka Japan Dept. of Production and Robotics Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangsue Bangkok Thailand Dept. of Intelligent and Control System Graduate School of Computer Science and Systems Engineering Mechanical Science and Technology Course Kyushu Institute of Technology Iizuka-Shi Fukuoka Japan Dept. of Industiral Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangsue Bangkok Thailand Dept. of Mechanical Engineering Technology College of Industrial Technology King Mongkut’s University of Technology North Bangkok Bangsue Bangkok Thailand

To directly investigate the dynamic nanoscale phenomenon on the surface being processed in wet conditions such as precision polishing, and cleaning in semiconductor industrial, an optical method for visualization and observation of each sub-100 nm sized particle that is moving on an interface such as a silica glass surface by applying an evanescent field have been proposing. Subsequently, we developed an experimental apparatus equipped with an optical microscopy system for verifying the moving particle observation method in a laboratory scale. This article introduces some experimentally direct observation results of duplicated wet processes.

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Indirect position estimation method for switched reluctance motor using searching windings

Indirect position estimation method for switched reluctance ...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Cheng Wang Zhiquan Deng Jun Cai Rongguang Hu College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China School of Information and Control Nanjing University of Information Science and Technology Nanjing China Dept. Automatic Control and System Engineering University of Sheffield UK

This paper presents a new method to estimate rotor position indirectly for 12/8 switched reluctance motor (SRM). In this method, searching windings and main windings are wound on stator together. The structure of searching windings is designed to reduce induced voltages caused by main windings. High frequency voltage is applied to searching windings and the position signal is derived from induced high frequency signals. High frequency voltage can be injected from standstill to high speed in this method, thus it can operate in a wide speed range. The proposed method is implemented on a 12/8 SRM and the experimental results demonstrate the validity of this method.

关键词： Windings Reluctance motors Rotors Inductance Estimation Coils

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Trajectory control and optimization of supercavitating torpedo

Trajectory control and optimization of supercavitating torpe...

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International Symposium on systems and control in Aerospace and Astronautics (ISSCAA)

作者： Jiang jun Liuwen hua Liu zhong Dept. of Control Science and Engineering Harbin Institute of Technology Harbin P. R. China Institute of Space Inelligent System Harbin Institute of Technology Harbin P. R. China

Underwater flight is greatly limited by the max speed of about 40 m/s that can be attained by the torpedo because of skin friction drag. Supercavitating torpedo can break the speed barrier and attain higher speed. But supercavitating phenomenon has its drawbacks which present challenges in modeling and control a supercavitating torpedo. Firstly, in this thesis, modeling and designing a controller to maneuver of a supercavitating torpedo is presented. The controller was obtained by LQR synthesis based on the assumption that cavity is fixed and the torpedo is situated symmetrically in cavity. The primary goals of controller were to get aggressive maneuverability and maximizing steady flight performance. Then optimal control problem of flight trajectory was discussed which yielded the control time histories that maneuver the torpedo according to a time-fuel optimal strategy. It was solved using the direct transcription method, a solution of a discrete parameter optimization problem. Finally the numerical simulations examples and resulting trajectories were performed to demonstrate the effectiveness of the proposed methodology.

关键词： Orbital robotics Satellites Manipulators Space vehicles Space technology Trajectory Attitude control control systems Polynomials Robotic assembly

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Hierarchical fuzzy approaches for a piloted Quality Management system

Hierarchical fuzzy approaches for a piloted Quality Manageme...

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： H. Ben Mahmoud R. Ketata T. Ben Romdhane S. Ben Ahmed Dept. of Physics and Instrumentation Engineering INSAT: National Institute of Applied Science and Technology Dept. of Physics and Instrumentation Engineering ICOS: Research Unit on Intelligent Control Tunis Tunisia Dept. of Physics and Instrumentation Engineering MOSIC Research Unit on Methods and Tools for Complex Computer Systems Tunis Tunisia

In this paper, two approaches, Hierarchical Fuzzy Signature (HFS) and Neuro-Fuzzy Hierarchical Hybrid (NFHH), have been proposed for piloting a Quality Management system (QMS). These approaches have been applied for real company which presents a major problem for controlling the quality level of production. HFS structure has reduced complexity in the number of input and output meta-levels of hierarchy. Also NFHH model has presented better performance in terms of precision and number of parameters without losing the universal approximation property of neural networks (NN) and fuzzy systems.

关键词： Companies IP networks Production complexity theory Fuzzy logic Artificial neural networks Pragmatics

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A GAN-LSTM Architecture for ECG Anomaly Detection

A GAN-LSTM Architecture for ECG Anomaly Detection

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Electrical, Computer, Telecommunication and Energy Technologies (ECTE-Tech), International Conference on

作者： Soumia OUBADI Naçima MELLAL Rachida BOUCHOUAREB Soumia ZERTAL dept. Computer science Research Laboratory on Computer Science's and Complex System University of Oum El Bouaghi Algeria dept. Networks and telecommunication Research Laboratory of Artificial Intelligence and Autonomous Objects Institute of Applied Science & Technology University of Oum El Bouaghi Algeria dept. Computer science Research Laboratory of Artificial Intelligence and Autonomous Objects University of Oum El Bouaghi Algeria

ISBN: (数字)9798350388480

ISBN: (纸本)9798350388497

Cardiovascular diseases (CVDs) continue to be a primary cause of global mortality, requiring prompt detection and care to avert serious consequences. Electrocardiograms (ECGs) are vital diagnostic instruments for cardiovascular disorders, yet traditional diagnostic methods encounter considerable obstacles, such as class imbalance and substantial heterogeneity in the available data. This study introduces a novel ECG classification technique utilizing GAN and LSTM. Generative Adversarial Networks (GANs) are employed to produce additional synthetic ECG samples, addressing class imbalance in the training dataset. The suggested design integrates LSTM units into the GAN generator to collect and maintain temporal signal patterns, while anomaly detection is performed using a CNN-LSTM model. Experimental findings indicate a significant enhancement in classification performance, achieving an accuracy of up to 94.74%. The findings indicate that the proposed GAN-LSTM model significantly improves ECG anomaly detection and classification, offering substantial potential for the rapid and precise identification of arrhythmias.

关键词： Training Instruments Mortality Computer architecture Electrocardiography Generative adversarial networks Real-time systems Convolutional neural networks Anomaly detection Long short term memory

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Optimal Solutions to Robust Stabilization Problem for a Class of systems with Parametric Uncertainty

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IFAC Proceedings Volumes 2012年第13期45卷 156-161页

作者： Qinghe Wu Li Xu Mohamed Mansour School of Automation Beijing Institute of Technology Beijing 100081 China Faculty of System Science and Technology Dept. of Electronics and Information Systems Akita Prefectural University Akita 015-0055 Japan Automatic Control Laboratory Swiss Federal Institute of Technology Zurich ETH Zentrum CH-8092 Zürich Switzerland

This paper tackles the robust stabilization problem for the plant family described by the transfer function set P ( s, δ , δ ) whose coefficients of the denominator and the numerator polynomials are affine in a real uncertain parameter vector δ satisfying the norm constraint || δ || p ≤ δ for p ≥ 1. It is shown that there exists a fixed controller robustly stabilizing all the members of P ( s, δ , δ ) if and only if its every member plant is free of unstable pole-zero cancelation. The optimal robust stabilizer is characterized in terms of a three dimensional frequency dependent Hahn-Banach minimizer. Classes of P ( s, δ , δ ) are characterized using Nevanlinna-Pick interpolation theory. For these classes optimal robust stabilizers can be obtained in closed forms using ℋ ∞ -optimization technique.

关键词： real parameter uncertainty parametric robust stabilization stabilizability radius stability radius ℋ ∞ -optimization

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Performance Evaluation of Lazy and Decision Tree Classifier: A Data Mining Approach for Global Celebrity's Death Analysis

Performance Evaluation of Lazy and Decision Tree Classifier:...

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International Conference on Research in Intelligent and Computing in Engineering (RICE)

作者： Vivek Kumar Roman Zinovyev Abhishek Verma Prayag Tiwari Dept. of Automated Control System National University of Science & Technology-MiSiS Moscow Russian Federation Dept.of Semiconductor Electronic National University of Science & Technology-MiSiS Moscow Russian Federation Dept.of CSE Malaviya National Institute of Technology Jaipur India Dept.of Information Engineering University of PaPadova Italy

In present world data is a valuable asset. The best utilization of this asset by means of technology gives an upper hand to an organization. Technologies like machine learning, data mining, and artificial intelligence are no exception to this either. Celebrities influence common people behaviors through biological, psychological and social processes to a great extent. Simultaneously there is vast disparity amongst their demise over the cause, region, and age. Therefore, it is a challenging and interesting endorsement to work upon. The objective of this work is to come up with the comprehensive result to understand the celebrity deaths by investigating the incidence happened over the decade. The database for training is created from the public and open access databases for years 2006-2016 comprising of 11, 200 reported deaths over the globe. Findings of the work are year by year extraction of death, the cause behind it, age, gender, and place. Lazy and decision tree classifier model of data mining is being used for the analysis based on the profession as evaluation class.

关键词： Decision trees Entropy Support vector machines Text mining Information retrieval Machine learning

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Robust walking of biped robot on uneven terrain using effect of wobbling mass

Robust walking of biped robot on uneven terrain using effect...

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IEEE International Conference on Robotics and Biomimetics

作者： Terumitsu Hayashi Masaki Yamakita Yuta Hanazawa Fumihiko Asano Dept. of Mechanical and Control Engineering Tokyo Institute of Technology Meguro-ku Tokyo JAPAN Faculty of Engineering Department of Applied Science for Integrated System Engineering Kyushu Institute of Technology Kita-Kyushu Fukuoka Japan School of Information Science Japan Advanced Institute of Science and Technology Nomi Ishikawa JAPAN

ISBN: (纸本)9781479973989

Many studies about improving the performance of biped robots, especially energy efficiency and waking speed have been done. These properties, however, are secondary to the robot ability to prevent falling down on irregular grounds. In this paper, we propose a novel method which uses an active up-and-down wobbling mass to improve walking ability and robustness of biped robot on uneven terrain. We will show improvements that the number of walk steps is increased in numerical simulations using the proposed method. We also evaluate quantitatively walking ability of biped robot on uneven terrain using a performance measure called Gait Sensitivity Norm (GSN) and H ∞ norm. Furthermore, we show the effectiveness of H ∞ norm measure which cannot be evaluated by GSN in a walking example.

关键词： Legged locomotion Limit-cycles Trajectory Robustness Mathematical model Sensitivity

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Recognition of grouping patterns in trademarks based on the gestalt psychology

IEEJ Transactions on Electronics, Information and Systems

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IEEJ Transactions on Electronics, Information and systems 2007年第6期127卷 844-853+5页

作者： Iguchi, Hiromasa Abe, Koji Misawa, Tadanobu Kimura, Haruhiko Daido, Yoshimasa Information and Control System Hitachi Ltd. 5-2-1 Oomika Hitachi-shi Ibaraki 319-1293 Japan School of Science and Engineering Kinki University 3-4-1 Kowakae Higashiosaka-shi 577-8502 Japan School of Management Tokyo University of Science 500 Shimokiyoku Kuki Saitama 346-8512 Japan Graduate School of Natural Science Kanazawa University Kakuma-cho Kanazawa-shi 920-1192 Japan Dept. of Info. and Comp. Sci. Kanazawa Ins. of Tech. 7-1 Ohgigaoka Nonoichi Ishikawa 921-8501 Japan Hitachi Ltd. Japan Kinki University Japan Tokyo University of Science Japan Kanazawa University Japan Kanazawa Institute of Technology Japan

According to the Gestalt principals, in this paper, we model features for measuring the attraction degree between couples of image components, and grouping areas in trademark images are recognized. This investigation would be used for content-based image retrieval from the view of mirroring human perception for images. The features of proximity, shape similarity, closure, and good continuation are extracted from every combination of two components in an image. After that, according to results of the judgments, a grouping pattern for the query is fixed. Besides, changing combination of the features, the proposed method can output plural grouping patterns. In the experiments, we have evaluated the proposed method on 74 test images comparing between outputs by the proposed method and grouping patterns for the test images obtained from results of questionnaires by 104 participants.

关键词： Pattern recognition

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Hybrid-Data-Driven Fuzzy Recognition of Operator Cognitive State in Human-Machine Cooperative control system

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IFAC Proceedings Volumes 2013年第13期46卷 327-334页

作者： Jian-Hua Zhang Jörg Raisch Dept. of Automation East China University of Science and Technology Shanghai 200237 P.R. China (Tel: ++86-21-64253808) Control Systems Group Technische Universität Berlin D-10587 Berlin Systems and Control Theory Group Max Planck Institute for Dynamics of Complex Technical Systems D-39106 Magdeburg Germany Systems and Control Theory Group Max Planck Institute for Dynamics of Complex Technical Systems D-39106 Magdeburg Germany

In this paper, the Human Cognitive State (HCS) in the context of human and complex system interaction was classified by using the Fuzzy C-Means (FCM) algorithm. The most important features for the HCS pattern classification were extracted from a set of measured physiological variables based on the comparison of their respective rates of correct classification. The results have shown the usefulness of the FCM algorithm as well as the selected features for the challenging HCS classification problem.

关键词： Man-machine systems Cognitive science Physiology Fuzzy set theory Pattern recognition Classification

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