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International IEEE Conference on Signal-Image Technologies and Internet-Based System

作者： Yoshitaka Sakurai Kouhei Takada Natsuki Tsukamoto Takashi Onoyama Rainer Knauf Setsuo Tsuruta School of Information Environment Tokyo Denki University Chiba Japan Research & Development Department Hitachi Software Engineering Company Limited Tokyo Japan Faculty of Computer Science and Automation Ilmenau University of Technology Ilmenau Germany

A delivery route optimization system greatly improves the real time delivery efficiency. To realize such an optimization, its distribution network requires solving several tens to hundreds (max. 1500-2000) cities Traveling Salesman Problems (TSP) within interactive response time (around 3 seconds) with expert-level accuracy (below 3% level of error rate). To meet these requirements, a Backtrack and Restart Genetic Algorithm (Br-GA) is proposed and compared with conventional ones, especially such as an Inner Random Restart Genetic Algorithm (Irr-GA). This method combines Backtracking and GA having simple heuristics such as 2-opt and NI (Nearest Insertion) so that, in case of stagflation, GA can restarts with the state of populations going back to the state in the generation before stagflation. Including these heuristics, field experts and field engineers can easily understand the way and use it. Using the tool applying their method, they can easily create/modify the solutions or conditions interactively depending on their field needs. Experimental results proved that the method meets the above-mentioned delivery scheduling requirements more than other methods from the viewpoint of optimality as well as simplicity. Especially as to optimality, Br-GA is superior to even Irr-GA.

关键词： Nickel Gallium Optimization Pediatrics Humans Cities and towns Real time systems

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Inner Random Restart Genetic Algorithm to optimize delivery schedule

Inner Random Restart Genetic Algorithm to optimize delivery ...

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IEEE International Conference on Systems, Man and Cybernetics

A delivery route optimization system greatly improves the real time delivery efficiency. To realize such an optimization, its distribution network requires solving several tens to hundreds (maximum 2 thousands or so) cities Traveling Salesman Problems (TSP) within interactive response time (around 3 seconds) with expert-level accuracy (below 3% level of error rate). To meet these requirements, an Inner Random Restart Genetic Algorithm (Irr-GA) method is proposed. This method combines random restart and GA that has different types of simple heuristics such as 2-opt and NI (Nearest Insertion). Including these heuristics, field experts and field engineers can easily understand the way and use it. Using the tool applying their method, they can easily create/modify the solutions or conditions interactively depending on their field needs. Experimental results proved that the method meets the above-mentioned delivery scheduling requirements more than other methods from the viewpoint of optimality as well as simplicity.

关键词： Gallium Computational modeling

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Use of accelerometers for material inner defect detection

Use of accelerometers for material inner defect detection

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International Conference on Applied Electronics, AE

作者： Ondrej Krejcar Robert Frischer Department of Measurement and Control Center of Applied Cybernetics Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic Department of Automation and Computing in Metallurgy VSB-Technical University of Ostrava Ostrava Czech Republic

This paper deals with a possibility of non-destructive diagnostics of solid objects by software analysis of vibration spectrum by accelerometers. By a use of MATLAB platform, a processing and information evaluation from accelerometer is possible. Accelerometer is placed on the measured object. The analog signal needs to be digitized by a special I/O device to be processed offline with FFT (Fast Fourier Transformation). The power spectrum is then examined by developed evaluating procedures.

关键词： Accelerometers Vibrations Software Conferences Distortion measurement Converters Unified modeling language

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Notice of Retraction: Material inner defect detection by a vibration spectrum analysis

Notice of Retraction: Material inner defect detection by a v...

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International Conference on Mechanical and Electronics engineering (ICMEE)

作者： Ondrej Krejcar Robert Frischer Department of Measurement and Control Center for Applied Cybernetics Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic Department of Automation and Computing in Metallurgy VSB-Technical University of Ostrava Ostrava Czech Republic

This article has been retracted by the publisher.

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Energy aware knowledge extraction from petri nets supporting decision-making in service-oriented automation

Energy aware knowledge extraction from petri nets supporting...

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IEEE International Symposium on Industrial Electronics

作者： Leitão, Paulo Alves, Joel Mendes, J. Marco Colombo, Armando W. Polytechnic Institute of Bragança Campus Sta Apolónia Apartado 1134 5301-857 Bragança Portugal Artificial Intelligence and Computer Science Laboratory R. Campo Alegre 102 4169-007 Porto Portugal Faculty of Engineering University of Porto Rua Dr. Roberto Frias s/n 4200-465 Porto Portugal Schneider Electric Automation GmbH Steinheimer Str. 117 D-63500 Seligenstadt Germany

ISBN: (纸本)9781424463916

This paper introduces an approach to decision support systems in service-oriented automation control systems, which considers the knowledge extracted from the Petri nets models used to describe and execute the process behavior. Such solution optimizes the decision-making taking into account multi-criteria, namely productive parameters and also energy parameters. In fact, being manufacturing processes typically energy-intensive, this allows contributing for a clean and saving environment (i.e. a better and efficient use of energy). The preliminary experimental results, using a real laboratorial case study, demonstrate the applicability of the knowledge extracted from the Petri nets models to support real-time decision-making systems in service-oriented automation systems, considering some energy efficiency criteria. © 2010 IEEE.

关键词： Decision making

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Process optimization of service-oriented automation devices based on Petri nets

Process optimization of service-oriented automation devices ...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： J. Marco Mendes Paulo Leitão Francisco Restivo Armando W. Colombo Faculty of Engineering University of Porta Porto Portugal LIACC-Artificial Intelligence and Computer Science Laboratory University of Porta Portugal Quinta Sta Apoloònia Polytechnic Institute of Bragança Braganca Portugal Schneider Electric Automation Gmbh Seligenstadt Germany

ISBN: (纸本)9781424472987;9781424473007

This paper introduces a novel method for the specification and selection of criteria-weighted operation modes for the orchestration of services in industrial automation using Petri nets. The objective is to provide to the internal decision support system of a service-oriented automation device or of another applicable computational system the capability to select the best path in a Petri net orchestration model considering different criteria to evaluate the quality of services, such as the time, energy efficiency and reliability. The transition-invariants obtained from the Petri net represent the set of possible modi operandi and these are then weighted with decision criteria. The result will be afterwards evaluated in order to select the optimal modus operandi to be executed by the device. Based on the experiments, this method permits the dynamic optimization of processes in real-time, considering available parameters from devices and other resources.

关键词： automation Petri nets Quality of service Web services Optimization methods computer industry Electrical equipment industry Decision making Artificial intelligence computer science

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Ubiquitous Mining with Interactive Data Mining Agents

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Journal of computer science & Technology 2009年第6期24卷 1018-1027页

作者：吴信东朱兴全陈琪君王飞跃 School of Computer Science and Information Engineering Hefei University of Technology Department of Computer Science University of Vermont Faculty of Engineering and Information Technology University of Technology Institute of Automation Chinese Academy of Sciences

Due to the increasing availability and sophistication of data recording techniques, multiple information sources and distributed computing are becoming the important trends of modern information systems. Many applications such as security informatics and social computing require a ubiquitous data analysis platform so that decisions can be made rapidly under distributed and dynamic system environments. Although data mining has now been popularly used to achieve such goals, building a data mining system is, however, a nontrivial task, which may require a complete understanding on numerous data mining techniques as well as solid programming skills. Employing agent techniques for data analysis thus becomes increasingly important, especially for users not familiar with engineering and computational sciences, to implement an effective ubiquitous mining platform. Such data mining agents should, in practice, be intelligent, complete, and compact. In this paper, we present an interactive data mining agent - OIDM （online interactive data mining）, which provides three categories （classification, association analysis, and clustering） of data mining tools, and interacts with the user to facilitate the mining process. The interactive mining is accomplished through interviewing the user about the data mining task to gain efficient and intelligent data mining control. OIDM can help users find appropriate mining algorithms, refine and compare the mining process, and finally achieve the best mining results. Such interactive data mining agent techniques provide alternative solutions to rapidly deploy data mining techniques to broader areas of data intelligence and knowledge informaties.

关键词： information systems human-centered computing data mining intelligent agents

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A structured approach to fuzzy abduction based on contraposition property of propositional logic

A structured approach to fuzzy abduction based on contraposi...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Aruna Chakraborty Amit Konar Atulya K. Nagar Visiting Faculty in the M.Tech Course on Intelligent Automation and Robotics Jadavpur University Calcutta India Artificial Intelligence Laboratory Department of Electronics and Telecommunication Engineering Jadavpur University Calcutta India Department of Computer Science Liverpool Hope University Liverpool UK

The paper proposes a new approach to fuzzy abduction by extending the contraposition rule of propositional logic. The main difficulty of fuzzy abduction is due to the restriction of single antecedent clause in a fuzzy production rule. When more than one antecedent clause occurs jointly in a fuzzy rule, the membership value of the derived antecedent clauses become equal, which should not be the case in general. The paper overcomes this problem and demonstrates a simple but elegant method to compute premises in a multi-chained reasoning system.

关键词： Production Firing Cognition Fuzzy sets Electronic mail computer science

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Geometric robot motion strategies

Geometric robot motion strategies

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8th International Conference on Mechatronics 2009

作者： Šeda, M. Březina, T. Brno University of Technology Faculty of Mechanical Engineering Institute of Automation and Computer Science Technická 2896/2 Brno Czech Republic

ISBN: (纸本)9783642050213

In robot motion planning in a space with obstacles, the goal is to find a collision-free path of robot from the starting to the target position. There are many approaches depending on types of obstacles, dimensionality of the space and restrictions for robot movements. Among the most frequently used are roadmap methods (visibility graphs, Voronoi diagrams, rapidly exploring random trees) and methods based on cell decomposition. A common feature of all these methods is the generating of trajectories composed from line segments. In this paper, we will show that generalised Voronoi diagrams can be used for fast generation of smooth paths sufficiently distant from obstacles.

关键词： Trees (mathematics)

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Research on infrared breath alcohol test based on differential absorption

Research on infrared breath alcohol test based on differenti...

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1st International Conference on Information science and engineering, ICISE2009

作者： Li, Ren-Wang Xiong, Ye-Pan Wang, Yong-Jian Wan, Fen Faculty of Mechanical Engineering and Automation Zhejiang Sci-Tech University Hangzhou Zhejiang China School of Computer Science and Technology North China Electric Power University Beijing China

ISBN: (纸本)9780769538877

An infrared alcohol testing system based on differential absorption is presented. The technique relies on the fact that the breath alcohol gas has a unique, well-defined absorption characteristic within the infrared region of electromagnetic spectrum. It is used to detect the present and concentration of alcohol gas. The non-dispersive infrared gas detection principle is introduced in detail. Experiments show that the testing system has high precision, good environment adaptability, and its indication error and repeatability reach the China National Standards. ©2009 IEEE.

关键词： Absorption spectroscopy

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