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International Conference on Sensor Technologies and Applications, SensorComm

作者： Hairong Yan Youzhi Xu Zhiguang Wang Embedded Software and System Institute Beijing University of Technology Beijing China School of Electrical Engineering Jönköping University Jonkoping Sweden Computer Science school China University of Petroleum Beijing China

This paper considers the localization of a rocket projectile's landing point in an explosive testing zone using a wireless sensor network. Grid anchor nodes with seismic sensors are arranged in the target area. An algorithm is proposed for the positioning of the grid anchor nodes and for hyperbolic localization. Additionally, a node health report is included in the algorithm for the node destroyed by the rocket projectile. This paper includes simulation results for the hyperbolic localization algorithm and the choice of grid anchor nodes.

关键词： Rockets Projectiles Wireless sensor networks Testing Wireless communication Explosives Accuracy

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Using launch-on-capture for testing BIST designs containing synchronous and asynchronous clock domains

Using launch-on-capture for testing BIST designs containing ...

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作者： Wang, Laung-Terng Wen, Xiaoqing Wu, Shianling Furukawa, Hiroshi Chao, Hao-Jan Sheu, Boryau Guo, Jianghao Jone, Wen-Ben SynTest Technologies Inc. Sunnyvale CA 94086 United States Department of Electrical Engineering Graduate Institute of Electronics Engineering National Taiwan University Taipei 106 Taiwan Department of Creative Informatics Kyushu Institute of Technology Iizuka Fukuoka 820-8502 Japan School of Software Tsinghua University Beijing 100084 China SynTest Technologies Inc. Princeton Junction NJ 08550 United States Department of Creation Informatics Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Fukuoka 820-8502 Japan With NEC Micro Systems Ltd. Kumamoto 861-2202 Japan SynTest Technologies Inc. Hsinchu 300 Taiwan Sigma Designs Milpitas CA 95035 United States Department of Electrical and Computer Engineering University of Cincinnati Cincinnati OH 45221 United States

This paper presents a new at-speed logic built-in self-test (BIST) architecture supporting two launch-on-capture schemes, namely aligned double-capture and staggered double-capture, for testing multi-frequency synchronous and asynchronous clock domains in a scan-based BIST design. The proposed architecture also includes BIST debug and diagnosis circuitry to help locate BIST failures. The aligned scheme detects and allows diagnosis of structural and delay faults among all synchronous clock domains, whereas the staggered scheme detects and allows diagnosis of structural and delay faults among all asynchronous clock domains. Both schemes solve the long-standing problem of using the conventional one-hot scheme, which requires testing each clock domain one at a time, or the simultaneous scheme, which requires adding isolation logic to normal functional paths across interacting clock domains. Physical implementation is easily achieved by the proposed solution due to the use of a slow-speed, global scan enable signal and reduced timing-critical design requirements. Application results for industrial designs demonstrate the effectiveness of the proposed architecture. © 2010 IEEE.

关键词： Built-in self test

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An evolutionary multi-objective approach for dynamic mission planning

An evolutionary multi-objective approach for dynamic mission...

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Congress on Evolutionary Computation

作者： Lam Thu Bui Zbignew Michalewicz Department of Software Engineering Faculty of IT Quy Don University Vietnam Polish Japanese Institute of Information Technology Warsaw Poland School of Computer Science University of Adelaide Adelaide SA Australia Institute of Computer Science Polish Academy of Sciences Warsaw Poland

In this paper, we propose a computational approach for adaptation in mission planning, an important process in the chain of command and control. In this area, it has been highly regarded that military missions are often dynamic and uncertain. This characteristic comes from the nature of battlefields where the factors of enemies and terrains are not easy to be determined. Hence, it is necessary to generate plans that can adapt quickly to the changes during the missions, while avoiding paying a high cost. In addressing such an adaptation process, the issue of multi-objectivity can not be avoided. Our approach first mathematically models the dynamic planning problem with two criteria: the mission execution time and the cost of operations. Based on this quantification, we introduce an evolutionary multi-objective mechanism to adapt the current solution to new situations resulted from changes. We carried out a case study on this newly proposed approach. A modified military scenario of a mission was used for testing. The obtained results strongly support our proposal in finding adaptive solution dealing with the changes.

关键词： Planning Optimal scheduling Uncertainty Robustness Evolutionary computation Markov processes

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A non-linear approach to solving linear algorithmic problems

A non-linear approach to solving linear algorithmic problems

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Frontiers in Education (FIE) Conference

作者： Orna Muller Bruria Haberman Software Engineering Department Teaching & Learning Center Ort Braude College of Engineering Karmiel Israel Computer Science Department Holon Institute of Technology Israel CS Academia & Industry program for talented high-school Davidson Institute of Science Education Weizmann Institute of Science Rehovot Israel

Solving algorithmic problems and implementing them in code is a major theme in introductory computer science courses. Problems related to string manipulation are common and of great importance in various domains. In the context of computer science education, solving algorithmic problems of this type may be very challenging for novices, even for the more competent students. Analysis of novice students' solutions to a specific class of problems dealing with string manipulation revealed that a widespread intuitive and non-linear approach was used to solve these problems, which led to cumbersome and erroneous solutions. On the other hand, a straightforward linear approach that leads to shorter and more elegant solutions is uncommon. Uncovering students' common and unsatisfactory approaches in problem solving have significant implications on instruction.

关键词： Problem-solving Taxonomy Programming profession Algorithm design and analysis Syntactics

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A novel model based on SOM2W network for listed reality companies analysis

A novel model based on SOM2W network for listed reality comp...

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International Conference on Financial Theory and engineering (ICFTE)

作者： Yongmei He Limin Wang Qian Sun Xuming Han Department of Information Changchun Taxation College Changchun China School of Computing and Software Engineering Southern Polytechnic State University USA College of Computer Science and Technology Jilin University Changchun China Institute of Information and Spreading Engineering Changchun University of Technology Changchun China

ISBN: (纸本)9781424477579;9781424477593;9781424477586

In order to get rid of the limit of traditional methods and provide a decision making reference for the supervision of securities organizations and the risk control of investors, A novel model based on SOM2W network (SOM with 2 winners self-organizing map) is proposed for assessment financial performance of the listed companies. In addition, a tabu-mapping method is proposed to avoid that the same output node is mapped by more than one input. The financial indexes reflecting the whole performance level of companies are used in the simulated experiments including earning per share, net asset yield and main profit margin. Simulation results show that the proposed model is feasible for assessment listed reality companies. It could provide an effective approach for analyzing and selecting listed companies, which has good potential in the financial field.

关键词： Neural networks Artificial neural networks computer networks Mathematical model Information analysis Risk analysis Performance analysis software engineering Decision making Information security

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The Research and Design on TDD Voice WSN

The Research and Design on TDD Voice WSN

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International Conference on Multimedia technology

作者： Rong-lin Hu Jian-rong Yin Xia-jun Gu Xiang-ping Gu Li-Qing Chen Faculty of Computer Engineering Huaiyin Institute of Technology Huaian Jiangsu China Key Laboratory of Materials for High Power Laser Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai People's Republic of China Graduate School of Chinese Academy of Sciences Beijing People's Republic of China

A Time Division Duplex (TDD) approach is demonstrated for voice communication in the environment of wireless sensor networks. The architecture of the Voice Wireless Sensor Networks (VoWSN) is presented and the hardware designing of Voice Node and Gateway Node are described in detail. Voice quality of different scenarios such as indoor, corridor, corner and outdoor are tested. It is resulted that good voice quality can be obtained in short distance or line of sight with no obstacle. The Routing Node and Gateway Node is introduced to relay in the case of long distance or with obstacles in the channel path.

关键词： Wireless sensor networks Wireless communication Logic gates Encoding Zigbee Routing Testing

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Efficient Data Delivery in Mobile Sensor Networks

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通讯和计算机（中英文版） 2010年第5期7卷 23-29页

作者： Yongping Xiong Jianwei Niu Jian Ma Limin Sun Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate University of the Chinese Academy of Sciences Beijing 100039 China School of Computer Science and Engineering Beihang University Beijing 100191 China Nokia Research Center Beijing 100176 China Institute of Software Chinese Academy of Sciences Beijing 100190 China

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An integrated computing environment for bio-molecular networks

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Journal of Convergence Information technology 2010年第4期5卷

作者： Xie, Jiang Mao, Guoyong Zhang, Shilin Zhang, Wu School of Computer Engineering and Science Shanghai University Shanghai 200072 China Institute of Systems Biology Shanghai University Shanghai 200444 China Changzhou Key lab for Research and Application of Software Technology Changzhou 213002 China High Performance Computing Center Shanghai University Shanghai 200072 China

With the development of systems biology, more and more researchers focus on the study of bio-molecular networks. In recent years, researchers in different fields have accumulated a large number of biological experimental data and algorithms for analysis and calculation of bio-molecular networks, but these data and methods are relatively independent, difficult to be utilized by biologists. Based on PSE-Bio, a problem solving environment for bioinformatics, this paper describes an integrated computing environment for bio-molecular networks in order to achieve molecular homology analysis, bio-molecular network building, querying, statistics and visualization.

关键词： Bioinformatics

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Reports of the AAAI 2010 conference workshops

Reports of the AAAI 2010 conference workshops

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作者： Aha, David W. Boddy, Mark Bulitko, Vadim D'Avila Garcez, Artur S. Doshi, Prashant Edelkamp, Stefan Geib, Christopher Gmytrasiewicz, Piotr Goldman, Robert P. Halevy, Alon Hitzler, Pascal Isbell, Charles Josyula, Darsana Kaelbling, Leslie Pack Kersting, Kristian Kunda, Maithilee Lamb, Luis C. Marthi, Bhaskara McGreggor, Keith Mihalkova, Lilyana Nastase, Vivi Natarajan, Sriraam Provan, Gregory Raja, Anita Ram, Ashwin Riedl, Mark Russell, Stuart Sabharwal, Ashish Smaus, Jan-Georg Sukthankar, Gita Tuyls, Karl Van Der Meyden, Ron Adaptive Systems Section Naval Research Laboratory Washington DC United States Adventium Labs. Minneapolis MN United States Department of Computer Science University of Alberta Canada City University London United Kingdom University of Georgia United States University of Bremen Germany School of Informatics University of Edinburgh United Kingdom University of Illinois Chicago United States Smart Information Flow Technologies LLC Minneapolis MN United States Structured Data Group Google Research United States Department of Computer Science Wright State University Dayton OH United States School of Interactive Computing Georgia Institute of Technology Atlanta GA United States Department of Computer Science Bowie State University United States Department of Computer Science and Engineering Massachusetts Institute of Technology United States Statistical Relational Mining Group Fraunhofer IAIS Germany Department of Computer Science Federal University of Rio Grande Do sul Brazil Willow Garage Inc. CA United States Computer Science Department University of Maryland College Park United States Heidelberg Institute for Theoretical Studies Heidelberg Germany Department of Computer Science University of Wisconsin Madison United States University College Cork Ireland Cork Complex Systems Lab. Ireland Department of Software and Information Systems University of North Carolina Charlotte United States Department of Computer Science and Engineering University of California Berkeley United States Department of Computer Science Cornell University United States Institute for Computational Sustainability United States University of Freiburg Germany School of Electrical Engineering and Computer Science University of Central Florida United States Maastricht University Netherlands University of New South Wales NICTA Australia

The AAAI-10 workshop program was held on July 11-12, 2010, at the Westin Peachtree Plaza in Atlanta, Georgia. The workshop program included 13 workshops covering a wide range of topics in artificial intelligence. There were several presentations on particular formalisms for combining the levels of planning from the perspectives of classical planning, motion planning, POMDPs, search-based planning, and temporal logic-based constraints. Henry Lieberman from Massachusetts institute of technology Media Laboratory presented work developing a platform for knowledge acquisition and usage from expert users, built upon experience with eliciting information from nonexperts in a collaborative manner. The objective of the AAAI Workshop on Goal-Directed Autonomy (GDA) was to encourage discussion and novel contributions on intelligent agents that can self-select their goals. Jeremy Baxter from QinetiQ focused on user interaction, while Nick Hawes described a goal-directed reasoning framework for controlling a mobile robot.

关键词： Motion planning

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A parallel type of DNA computing model for graph vertex coloring problem

A parallel type of DNA computing model for graph vertex colo...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Jin Xu Xiaoli Qiang Kai Zhang Cheng Zhang Jing Yang Rongkui Zhang Hanpin Wang Yueke Fan Shudong Wang Yafei Dong Zhezhi Wang Xingui He Institute of Software School of Electronics Engineering and Computer Science Key Laboratory of High Confidence Software Technologies Ministry of Education Peking University Beijing China College of Computer Science South Central University of Nationalities Wuhan China Key Laboratory of Ministry of Education of Medicinal Plant Resource and Natural Pharmaceutical Chemistry College of Life Sciences Shaanxi Normal University Xi'an Shaanxi China Institute of Biomolecular Computer Huazhong University of Science and Technology Wuhan China

A DNA computing model for solving graph vertex coloring problem is proposed in this article. To illustrate the capability of the DNA computing model, a 3-colorable graph with 61 vertices was constructed as an example. Using this model, more than 99% of false solutions were deleted when the initial solution space was established and finally all solutions of the graph were found. Because these operations can be used for any graph with 61 vertices, the searching capability of this model could be up to O(3 59 ). This searching capability is the largest among both electronic and non-electronic computers after the DNA computing model (with searching capability of O(2 20 ) ) proposed by Adleman's research group in 2002.

关键词： DNA Biochemistry

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