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ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009

作者： Teramoto, Kenbu Uekihara, Akito Department of Mechanical Engineering Saga University Saga Japan Department of Advanced Systems Control Engineering Saga University Saga Japan

ISBN: (纸本)9784907764333

Ultrasonic guided waves, because of their long range inspection ability, are now being used more and more as a very efficient and economical NDE method for large area inspection. The use of Lamb-waves has recently been interested in the nondestructive evaluations for thin-plate-like structures. The conventional time-of-flight technique is not reliable for locating the defects even in isotropic plates because of the dispersiveness in the Lamb-wave propagation. Avoiding difficulties caused by the dispersiveness, this paper proposes a novel spatio-temporal gradient imaging method which has an ability to localize cracks and to reconstruct the near-field images of cracks. The proposed method utilizes the determinant of the covariance matrix defined over the shear strain field over the surface. The determinant denotes the Distributions of Correlated Intensity Modulation (DCIM) of the incident and scattered wave fronts. The DCIM increases significantly in the near-field of the point-like defects. In this study, the computational process in wave field near-the defects is discussed and their physical meanings are investigated through FDTD-simulations. © 2009 SICE.

关键词： Cracks

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Recently developed approaches for solving blind deconvolution of MIMO-IIR systems: Super-exponential and eigenvector methods

Recently developed approaches for solving blind deconvolutio...

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IEEE International Symposium on Circuits and systems

作者： Kawamoto, Mitsuru Inouye, Yujiro Kohno, Kiyotaka National Institute of Advanced Industrial Science and Technology (AIST) Department of Electronic and Control Systems Engineering Shimane University Japan Department of Electronic Control Engineering Yonago National College of Technology Japan

ISBN: (纸本)9781424420780

Recently we develop two kinds of approaches, that is, the super-exponential method (SEM) and the eigenvector method (EVM), of which both can achieve the blind deconvolution for MIMO-IIR systems. It is shown that these methods are closely related each other. Based on this fact, we propose a new SEM incorporated with the EVM. Simulation results will be presented for showing the validity of the proposed method.

关键词： Eigenvalues and eigenfunctions

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A cooperative user selection scheme based on energy efficiency and interference factor in cooperative communication systems

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High Technology Letters 2016年第2期22卷 183-191页

作者：李萌 Sun Enchang Yu Fei Richard Zhang Yanhua Beijing Advanced Innovation Center for Future Internet Technology Beijing University of Technology College of Electronics Information and Control Engineering Beijing University of Technology Department of Systems and Computer Engineering Carleton University

With the rapid development of green communications,energy consumption issue plays more and more important role in cooperative communication strategies and communication *** on cooperative transmission model,a cooperative user selection scheme is proposed in consideration of both energy efficiency and interference *** the proposed scheme,the selected cooperative user consumes less energy and receives less ***,the main factor is analyzed to affect system performance,including signal-to-noise ratio(SNR)of source user and cooperative user,distance between source user and cooperative user or base station(BS),and fading factor in the transmission *** the proposed scheme,energy consumption and influence of interference are jointly taken into account during the cooperative user selection ***,bit error rate(BER)in proposed scheme is also superior to existing *** results are presented to show the performance improvement of the proposed scheme.

关键词： green communication cooperative communication energy efficiency interferencefactor

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An action decision mechanism using fuzzy-neural network in voice commanded fuzzy coach-player system for robots

An action decision mechanism using fuzzy-neural network in v...

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2006 SICE-ICASE International Joint Conference

作者： Watanabe, Keigo Izumi, Kiyotaka Ohshima, Ayumu Ishii, Shin-Ichi Department of Advanced Systems Control Engineering Saga University 1-Honjomachi Saga 840-8502 Japan

ISBN: (纸本)8995003855

In this paper, research on achieving a cooperation between human and robot is described in the framework of a fuzzy coach-player system, where a human is regarded as a coach, a robot is viewed as a player, and the human speech languages including several fuzzy implications are used as one communication way. In particular, a reasoning mechanism based on fuzzy neural network is proposed to determine the control input to the robot, in order to obtain the adequate amount of the robot action desired by the human in response to the environmental situation. For the training of the network, design parameters in the consequent part are adjusted so as to realize the holding and moving of an object by the robot commanded with the human voice instructions. The effectiveness of the present system is illustrated through experiments for a piling work of colored objects in 3-D space. © 2006 ICASE.

关键词： Robots

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A new compound sensor for optical, electrical and ultrasonic measurements in the liquid

A new compound sensor for optical, electrical and ultrasonic...

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ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009

作者： Kitajima, Takayuki Kimoto, Akira Department of Advanced Systems Control Engineering University of Saga Saga Japan Department of Electrical and Electronic Engineering University of Saga Saga Japan

ISBN: (纸本)9784907764333

In this paper, a compound sensor is proposed for the measurement of ingredient concentration in liquid. In the proposed sensor, the optical property is measured by a light emitting diode (LED) and a phototransistor. In addition, the electrical and ultrasonic properties are measured by PVDF(Polyvinylidene Fluoride) films, which each electrode is constructed by the transparent conductive electrode (ITO electrode), arranged on the surfaces of the LED and phototransistor. In the experiment, the liquid with yellow color, ethanol and NaCl concentrations in distilled water was prepared, and the optical, electrical and ultrasonic properties of the liquid were measured by the proposed sensor. The result suggested that it was possible to measure three kinds of concentrations in the liquid by using the proposed sensor. © 2009 SICE.

关键词： Optical properties

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Relay Selection and Power control for Mobile Underwater Acoustic Communication Networks: A Dual-Thread Reinforcement Learning Approach

IEEE Transactions on Green Communications and Networking

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IEEE Transactions on Green Communications and Networking 2024年第2期9卷 1-1页

作者： Dai, Jun Li, Xinbin Han, Song Yu, Junzhi Liu, Zhixin Key Lab of Industrial Computer Control Engineering of Hebei Province China Department of Advanced Manufacturing and Robotics College of Engineering State Key Laboratory for Turbulence and Complex Systems Peking University Beijing China

This paper deals with a cooperation communication problem (relay selection and power control) for mobile underwater acoustic communication networks. To achieve satisfactory transmission capacity, we propose a reinforcement-learning-based cooperation communication scheme to efficiently resist the highly dynamic communication links and strongly unknown time-varying channel states caused by the mobility of Autonomous Underwater Vehicles (AUVs). Firstly, a particular Markov decision process is developed to model the dynamic relay selection process of mobile AUV in the unknown scenario. In the developed model, an experimental statistical-based partition mechanism is proposed to cope with the greatly increasing dimension of the state space caused by the mobility of AUV, reducing the search optimization difficulty. Secondly, a dual-thread reinforcement learning structure with actual and virtual learning threads is proposed to efficiently track the superior relay action. In the actual learning thread, the proposed improved probability greedy policy enables the AUV to strengthen the exploration for the reward information of potential superior relays on the current state. Meanwhile, in the virtual learning thread, the proposed upper-confidence-bound-index-based uncertainty estimation method can estimate the action-reward level of historical states. Consequently, the combination of actual and virtual learning threads can efficiently obtain satisfactory Q value information, thereby making superior relay decision-making in a short time. Thirdly, a power control mechanism is proposed to reuse the current observed action-reward information and transform the multiple unknown parameter nonlinear joint power optimization problem into a convex optimization problem, thereby enhancing network transmission capacity. Finally, simulation results verify the effectiveness of the proposed scheme. IEEE

关键词： Convex optimization

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Understanding user commands by evaluating fuzzy linguistic information based on visual attention

Understanding user commands by evaluating fuzzy linguistic i...

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作者： Jayasekara, Buddhika Watanabe, Keigo Izumi, Kiyotaka Department of Advanced Systems Control Engineering Saga University Saga 840-8502 Japan

ISBN: (纸本)9784990288037

This paper proposes a method for understanding the user commands based on visual attention. Visual attention system is implemented to evaluate the fuzzy linguistic information based on the environmental conditions. It is assumed that the corresponding distance value for a particular fuzzy linguistic command depends on the spatial arrangement of the surrounding objects. A fuzzy logic based voice command evaluation system (VCES) is proposed to assess the uncertain information in user commands. A situation of object manipulation for rearranging the users working space is simulated to illustrate the system. It is demonstrated with PA-10 robot manipulator. ©ISAROB 2009.

关键词： Fuzzy logic

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Wireless Acoustic Sensor Networks and Edge Computing for Rapid Acoustic Monitoring

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IEEE/CAA Journal of Automatica Sinica 2019年第1期6卷 64-74页

作者： Zhengguo Sheng Saskia Pfersich Alice Eldridge Jianshan Zhou Daxin Tian Victor C.M.Leung the Department of Engineering and Design University of Sussex Infineon Technologies AG the Department of Music University of Sussex Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC) Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems & Safety ControlSchool of Transportation Science and EngineeringBeihang University the Department of Electrical and Computer Engineering The University of British Columbia

Passive acoustic monitoring is emerging as a promising solution to the urgent, global need for new biodiversity assessment methods. The ecological relevance of the soundscape is increasingly recognised, and the affordability of robust hardware for remote audio recording is stimulating international interest in the potential for acoustic methods for biodiversity *** scale of the data involved requires automated methods,however, the development of acoustic sensor networks capable of sampling the soundscape across time and space and relaying the data to an accessible storage location remains a significant technical challenge, with power management at its core. Recording and transmitting large quantities of audio data is power intensive,hampering long-term deployment in remote, off-grid locations of key ecological interest. Rather than transmitting heavy audio data, in this paper, we propose a low-cost and energy efficient wireless acoustic sensor network integrated with edge computing structure for remote acoustic monitoring and in situ *** and computation of acoustic indices are carried out directly on edge devices built from low noise primo condenser microphones and Teensy microcontrollers, using internal FFT hardware support. Resultant indices are transmitted over a ZigBee-based wireless mesh network to a destination *** tests of audio quality, indices computation and power consumption demonstrate acoustic equivalence and significant power savings over current solutions.

关键词： Acoustic sensor networks edge computing energy efficiency

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A hybrid neuro-inverse control approach with knowledge-based nonlinear separation for industrial nonlinear system with uncertainties

A hybrid neuro-inverse control approach with knowledge-based...

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2003 European control Conference, ECC 2003

作者： Zhang, T. Nakamura, M. Department of Advanced Systems Control Engineering Graduate School of Science and Engineering Saga University Honjomachi Saga840-8502 Japan

ISBN: (纸本)9783952417379

This paper presents a general methodology of controller design by the hybrid neuro-inverse control with the knowledge-based nonlinear separation for industrial nonlinear systems. In industrial nonlinear systems, various kinds of uncertainties may cause serious deterioration of system performances. Unfortunately, these uncertainties are usually difficult to identify and compensate from the entire system point of view. With using the knowledge-based nonlinear separation, nonlinear dynamics of a nonlinear system is possibly separated into the input-output nonlinear static part and the nonlinear dynamic part to form a nonlinear separation structure. Hence, partial nonlinear factors of the nonlinear system are described by the input-output nonlinear static part. Uncertainties in the nonlinear system are bounded in the nonlinear dynamic part. In the proposed hybrid neuro-inverse control method, the input-output nonlinear static part is controlled by an inverse controller. A neurocontroller with a rigidly defined and trained neural network using available prior knowledge of the nonlinear system is constructed for the control of the nonlinear dynamic part. With respect to some cases, a PID controller is supplementarily employed to reduce the influence from big uncertainties in the nonlinear dynamic part. Owing to using the knowledge-based nonlinear separation and a PID controller, the neurocontroller is only needed to control a part of the original nonlinear dynamics of industrial nonlinear systems contaminated by uncertainties. The structure of the neural network employed in the neurocontroller becomes simpler and the consumption of time in training is reduced. Meanwhile, system performances of the nonlinear system can be improved by the proposed method. Based on this method, high-precision contour control of industrial articulated robot arm was solved. It demonstrated the generality, practicality and significant potential of this method for realizing the high-performance

关键词： Dynamics

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Privacy Preservation for Cloud-Edge-Collaborative Energy Management System Using Post-Quantum Homomorphic Encryption

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IEEE Transactions on Smart Grid 2025年

作者： Jiang, Cheng Li, Xue Du, Dajun Qian, Hong Wen, Mi Wu, Lei Findeisen, Rolf Shanghai University of Electric Power Shanghai Key Laboratory of Power Station Automation Technology College of Automation Engineering Shanghai200090 China Shanghai University Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronical Engineering and Automation Shanghai200072 China Shanghai University of Electric Power College of Computer Science and Technology Shanghai201306 China Advanced Cryptography and System Security Key Laboratory of Sichuan Province Chengdu610225 China Stevens Institute of Technology Department of Electrical and Computer Engineering HobokenNJ07030 United States TU Darmstadt Control and Cyber-Physical Systems Laboratory Darmstadt64227 Germany

Cloud-based energy management systems (EMS) in smart grids face privacy challenges, as existing methods based on traditional homomorphic encryption support limited operations and are vulnerable to quantum attacks. We propose a privacy preservation method for smart grid energy management system, leveraging edge-assisted computing and ring learning with errors (RLWE) homomorphic encryption. Our approach enables both addition and multiplication operations on encrypted smart grid data while defending against quantum threats. We demonstrate the methods security under the RLWE hardness assumption and validate its effectiveness through an experimental platform simulating smart grid environments. This work addresses computational limitations in current privacy-preserving techniques, enhancing data security for evolving smart grid technologies © 2010-2012 IEEE.

关键词： Power management (telecommunication)

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