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Implementation of Industrial automation Sustainable Training in Savannakhet University, Laos

Implementation of Industrial Automation Sustainable Training...

International ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering (ECTI-NCON)

作者： Tsvetelina Georgieva Nina Bencheva Plamen Daskalov Hamed Yahoui Sitha Khemmarath Khonesavanh Norasane Lamnguen Chanthanouvong Youlananh Leaunglith Vinai Keovorabouth Automation and Mechatronics Department University of Ruse “Angel Kanchev” Ruse Bulgaria Telecommunications Department University of Ruse “Angel Kanchev” Ruse Bulgaria Department of Mechanical Engineering Automation &Processing Claude Bernard University Lyon 1 Lyon France Faculty of Engineering Savannakhet University Savannakhet Laos Technology computer network Dept. Faculty of Information Technology Savannakhet University Savannakhet Laos Faculty of Information Technology Savannakhet University Savannakhet Laos

The paper presents part of the work fulfilled under the Asean Factori 4.0 Erasmus+ project focused on the implementation of industrial automation in the education in 6 universities from 3 countries in South-East Asia: Thailand, Laos and Cambodia. The implementation of the project tasks, related to increasing the capacity and more precisely to the training of the professors from the Asian Universities is presented. According to the planned activities, professors from the University of Ruse conduct training for teachers from two universities: Chulalongkorn University, Thailand and Savannakhet University, Laos. The phases of training included in the project activities and how many of them have already been implemented are briefly presented. The program and the tasks of the teachers practical training for building the necessary teaching capacity in Savannakhet University and implementation of sustainable training in the field of industrial automation were presented and analyzed. Conclusions and future training of the staff of Asian universities planned under the project are presented in the paper.

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Manhole detection and location for urban pavement

Manhole detection and location for urban pavement

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International Conference on Intelligent Transportation

作者： Tang Nan Mu Xianyang Li Lin Ce Liu Jiang Xiuhan Industrial Automation Department Xi'an Shiyou University Xi'an Shaanxi P.R. CHINA Dept. of Ind. Autom. Xi'an Shiyou Univ. China Industrial Automation Department Xi'an Shiyou University Xi'an Shaanxi P.R CHINA Department of Electrical and Computer Engineering University of Houston Houston TX U. S. A.

ISBN: (纸本)0780381254

An underground practical sensing system was developed to detect covered-over manholes along the sewer lines under the urban pavement. The sensor head of the system is composed of a sonde and some transmitting and receiving circuits. Coil-type antennas has been designed and implemented base on the induction principle and numerical simulation. The transmitting circuits generate excitation current for the transmitting antennas, and the signal received by the receiving antennas is processed with the receiving circuits. A windows-based application software can calculate phase shift as well as amplitude value of the receiving signal. And there is also a distance-measurement device to provide information about the location of the covered-over or missing manholes. Satisfactory results have been achieved from the field tests of the system in actual manholes. For loop antennas with a spacing of 0.5 m, the system has a phase resolution of about 1/spl deg/ and an amplitude resolution of about 0.5%.

关键词： Receiving antennas Transmitting antennas Sensor systems Numerical simulation Induction generators Signal generators Signal processing Application software Circuit testing System testing

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Evaluation of Deep Training and Adapting Algorithms in Medical with De-Noising EEG

Evaluation of Deep Training and Adapting Algorithms in Medic...

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Advance Computing and Innovative Technologies in engineering (ICACITE), International Conference on

作者： Ali Hadi Abdulwahid Girija Rani Karetla KVB. Ganesh A Suresh Kumar K. Radha K. Shivakumar Control and Automation Engineering Department Engineering Technical College Southern Technical University Basra Iraq School of Computer Data and Mathematical Sciences Western Sydney University Australia KL Business School Koneru Lakshmaiah Education Foundation Guntur Andhra Pradesh India Department of CSE Graphic Era Deemed to be University Dept. of IT St. Martin's Engineering College Secunderabad Telangana India School of Computer Science and Artificial Intelligence SR University Warangal Telangana India

An electroencephalogram that was captured with electrodes placed can easily get contaminated with a variety of artifacts. Here is a comparative of various electroencephalogram (EEG) de-noising techniques. Three alternative techniques are used to eliminate five different kinds of noise, and also the outcomes are evaluated. These three methods are just the Least Mean Square (LMS) technique, the Connected Neural Network, and also the Recursive Least - square (RLS) adaptable algorithm (FCNN). Period charts of the actual EEG signal, the noise EEG signal, and thus the predicted EEG signal are used to display the results. RRMSE and signal- to-noise ratio were utilized to compare the effectiveness of the 3 de-noising strategies in this study. Investigating the model parameters in this case, we discover the FCNN forecasts a better outcome compared to the other two methods.

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A basic study of auction-based planning and scheduling for cell manufacturing

IFIP Advances in Information and Communication Technology

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IFIP Advances in Information and Communication Technology 2008年 257卷 3-10页

作者： Fujii, Susumu Kaihara, Toshiya Sashio, Kentaro Yokose, Hiroko Kurahashi, Masasi Hayashi, Nobuhiro Sophia Univeristy Department of Mechanical Engineering 7-1 Kioi-cho Chiyoda-ku Tokyo102-8554 Japan Kobe University Dept. of Computer and Systems Engineering 1-1 Rokkodai Nada Kobe657-8501 Japan Omron Corporation Industrial Automation Company Production Management and System Engineering Group 2-2-1 Nishikusatsu Kusatsu525-0035 Japan

ISBN: (纸本)9780387772486

Cell manufacturing is widely introduced to cope with the dynamically changing market demands. This study considers a scheduling method for a cell assembly system for the products that are characterized by the type and specification. A major set up is required at a cell for the change of types and a minor one for the change of specification within the same types. The scheduling will be made in three folds. Firstly, the scheduling for the orders with due dates of the day is made before the processing of the day starts. If cells have slack times for the production of the orders of the day, express orders to be completed within the day will be accepted in a prespecified time period or until no cells become available for the production. If slack times still exist, advanced production of orders with future due dates will be considered. Auction-based algorithms are proposed for the scheduling and their effectiveness is investigated by simulation studies. © 2008, IFIP International Federation for Information Processing. All rights reserved.

关键词： Scheduling

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Segmentation method of color images based on improved PCNN

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Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology 2009年第3期41卷 58-62页

作者： Cheng, Dan-Song Liu, Xiao-Fang Jin, Ye Wei, Zi-Yao Tang, Xiang-Long Liu, Jia-Feng School of Computer Science and Technology Harbin Institute of Technology Harbin 150001 China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin 150001 China Dept. of Computer Science and Engineering Beijing University of Aeronautics and Astronautics Beijing 100191 China

To overcome the limitation of the pulse-coupled neural network (PCNN) for its application in processing of color images, the hue data were introduced into the basic PCNN model by adopting the signal generator to control the internal activities of cells. The pixels with the same grey level and different hue data were pulsed separately in the double-input PCNN. It is indicated that the double-input PCNN can achieve the segmentation of color images and is robust to noises. The experimental results on synthetic images and natural images verify the validity of the model.

关键词： Image segmentation

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An auction-based smart district heating grid

An auction-based smart district heating grid

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IEEE Conference on Emerging Technologies and Factory automation

作者： Kashif Gulzar Seppo Sierla Valeriy Vyatkin Paul G. Flikkema Nikolaos Papakonstantinou Chen-Wei Yang Dept. of Electrical Engineering and Automation Aalto University Department of Electrical Engineering and Computer Science Northern Arizona University VTT Technical Research Centre of Finland Department of Computer Science Electrical and Space Engineering Lulea University of Technology

ISBN: (纸本)9781467379304

A district heating grid is a hot water pipeline grid used to transmit waste heat from CHP (Combined Heat and Power) production plants to buildings, where it is used for service water and space heating. Currently, broad use of district heating is limited to Northern Europe and some regions in Central Europe, but the European Union Energy Efficiency Directive 2012/27/EU and Energy Performance of Buildings Directive 2010/31/EU drive the widespread adoption of this technology in member states. Further, these directives push the introduction of significant renewable local energy production into these grids, creating a need for a smart district heating grid that is in many ways analogous to the smart electric grid. One major difference is that in a hot water pipeline grid, there are significant delays in energy propagation, so algorithms developed for the smart electric grid are not directly applicable. In this paper, an auction based heat trade mechanism is proposed between an auctioneer agent representing the CHP plant operator and prosumer agents representing end users with local solar thermal generation capacity. A predictive simulation is used by an auctioneer to account for the said delays in energy production and to determine the market price that best satisfies the performance indicators defined by the CHP plant operator. The proposed multi-agent system is demonstrated by co-simulating it against a model of a part of a Finnish municipality's district heating grid.

关键词： District heating Solar thermal Prosumer Auction IEC 61499 CHP Plant Price Offer

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Extended TP model transformation for polytopic representation of impedance model with feedback delay

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WSEAS Transactions on Systems and Control 2010年第9期5卷 701-710页

作者： Galambos, Péter Baranyi, Péter Korondi, Péter Computer and Automation Research Institute Hungarian Academy of Sciences Cognitive Informatics Group Kenede u. 13-17 H-1111 Budapest Hungary Budapest University of Technology and Economics Dept. of Manufacturing Science and Technology Kenede u. 13-17 H-1111 Budapest Hungary Budapest University of Technology and Economics Dept. of Telecommunications and Media Informatics Kenede u. 13-17 H-1111 Budapest Hungary Budapest University of Technology and Economics Dept. of Mechatronics Optics and Engineering Informatics Kenede u. 13-17 H-1111 Budapest Hungary

In force controlled industrial robots, haptic and telemanipulation devices stability and control performance are contradicting requirements. In distributed systems where the sensors, actuators and control logic are separated in space, due to the network delays the control process may become unstable. In our research, we consider the coupled impedance type control algorithms as common used method in telemanipulation and interaction control of robots. In this paper, an extended TP model transformation is proposed to convert the delayed system into a polytopic tensor product (TP) model considering the value of the feedback delay as a parameter. Using such model, controller design become tractable as it does not contain feedback delay. A numerical example for a single degree of freedom impedance model with feedback delay is discussed. The results are confirmed by simulation.

关键词： Industrial robots

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Acquisition of 3D surface temperature distribution of a car body

Acquisition of 3D surface temperature distribution of a car ...

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International Conference on Information and automation (ICIA)

作者： Yiu-Ming Harry Ng R. Du Department of Automation and Computer-Aided Engineering The Chinese University of Hong Kong Shatin N.T Hong Kong China Chinese University of Hong Kong New Territories HK Dept. of Autom. & Comput.-Aided Eng. Chinese Univ. of Hong Kong Shatin China

Thermal analysis using finite element modeling (FEM) is widely used in automotive industry nowadays. FEM can give simulation results at design stage. However, as FEM is a kind of simulations, it normally suffers from deviations with experimental results. Therefore, experimental measurement is necessary. To measure the 3D temperature distribution on a car body, we normally use a number of temperature sensors and then record the temperature values according to the positions of the sensors. It can provide the temperature values at different positions. Using this information, we can obtain the 3D temperature distribution on a car body. However, this method is time consuming and inconvenient, as we have to place a number of sensors on a car body, measure its corresponding positions as well as process the measured temperature values. In contrast, we firstly take a sequence of 2D thermal infrared images of the car body to have 2D temperature distribution and then reconstruct the 3D temperature distribution from the 2D images using computer vision method. It provides a more convenient method to acquire 3D temperature distribution compared to using a number of temperature sensors. The experimental results show the feasibility of our method.

关键词： Temperature distribution Temperature sensors Position measurement Temperature measurement Time measurement Finite element methods Automotive engineering Infrared imaging Image reconstruction computer vision

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Application of the Hopfield network in robust estimation of parametric membership sets for linear models

Application of the Hopfield network in robust estimation of ...

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IEEE International Conference on Systems, Man and Cybernetics

作者： I.N. da Silva L.V.R. de Arruda W.C. do Amaral Department of Computer Engineering and Industrial Automation UNICAMP Sao Paulo Brazil CPGEI CEFET-PR Curitiba Brazil Universidade Estadual de Campinas Campinas SP BR Dept. of Comput. Eng. & Ind. Autom. Univ. Estadual de Campinas Sao Paulo Brazil

High computation rates can be achieved using artificial neural networks. Optimization problems can be solved by neural networks with feedback connections by employing a massive number of simple processing elements with high degree of connectivity between these elements. In this paper, an application of Hopfield neural networks in robust parametric estimation with unknown-but-bounded disturbance is presented. The internal parameters of the Hopfield neural network are obtained using the valid-subspace technique. These parameters are explicitly computed to assure the network convergence. A comparative analysis with other robust estimation methods is carried out by a simulation example.

关键词： Intelligent networks Robustness computer networks Vectors Noise measurement Artificial neural networks Hopfield neural networks Parameter estimation Least squares approximation Uncertainty

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Towards variable-time-delays-robust telemanipulation through master state prediction

Towards variable-time-delays-robust telemanipulation through...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： P.A. Prekopiou S.G. Tzafestas W.S. Harwin Dept. of Electr. & Comput. Eng. Nat. Tech. Univ. of Athens Greece Intelligent Robotics & Automation Laboratory Department of Electrical & Computer Engineering National and Technical University of Athens Zografou Greece The Human-Robot Interface Laboratory Department of Cybernetics University of Reading Reading UK

This paper presents the conceptual framework and simulation results on a general technique for time delay compensation in teleoperation, based on the prediction of the human arm position and force, i.e. effectively the master state. This is shown to be significantly less complex and more intuitive than predicting the slave and environment dynamics. Simple polynomial or spline predictors, employing no knowledge of the human arm dynamics, are shown to produce good performance for small time delays when the master force and position are smooth. However, for real life force profiles, better performance is achieved by employing a human arm model and predicting the neural input to it.

关键词： Humans Predictive models Master-slave Delay effects Intelligent robots Robotics and automation Communication channels Displays Computational modeling computer simulation

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