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

作者： Daniel M. Muñoz Carlos H. Llanos Leandro dos S. Coelho Mauricio Ayala-Rincón Department of Mechanical Engineering University of Brasilia Brasilia D.F Brazil Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F Brazil

Meta-heuristics are efficient techniques for solving large scale optimization problems in which traditional mathematical techniques are impractical or provide suboptimal solutions. The Shuffled Frog Leaping algorithm (SFLA) is a stochastic iterative method, bio-inspired on the memetic evolution of a group of frogs when seeking for food, which combines the social behavior-based of the particle swarm optimization technique (PSO) and the global information exchange of memetic algorithms. However, the SFLA algorithm suffers on large execution times, being this problem clearly evident when solving complex optimization problems for embedded applications. This drawback can be overcome by exploiting the parallel capabilities of the SFLA. This paper proposes a hardware parallel implementation of the SFLA algorithm (HPSFLA) using FPGAs (Field programmable gate Arrays) and the efficient floating-point arithmetic. The proposed architecture allows the SFLA to improve the functionality of the algorithm as well as to decrease the execution times by implementing parallel frogs and parallel memeplexes. Three well-known benchmark problems have been used to validate the implemented algorithm and simulation results demonstrate that the HPSFLA speeds-up by factors of 362, 727 and 211 a C-code implementation using an embedded microprocessor for the Sphere, Rastrigin and Rosenbrock benchmarks problems, respectively. Synthesis, simulation and execution time results demonstrate the effectiveness of the proposed HPSFLA architecture for embedded optimization systems.

关键词： Mathematics Field programmable gate arrays Table lookup

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UAV relay network to support WSN connectivity

UAV relay network to support WSN connectivity

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International Conference on Ultra Modern Telecommunications and Workshops (ICUMT)

作者： Edison Pignaton de Freitas Tales Heimfarth Ivayr Farah Netto Carlos Eduardo Lino Carlos Eduardo Pereira Armando Morado Ferreira Flávio Rech Wagner Tony Larsson IDE Halmstad University Halmstad Sweden Institute of Informatics Federal University of Rio Grande do Sul Porto Alegre Brazil Computer Science Department Federal University of Lavras Lavras Brazil Defense Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil

An important problem in Wireless Sensor Networks (WSN) is the occurrence of failures that lead to the disconnection of parts of the network, compromising the final results achieved by the WSN operation. A way to overcome such problem is to provide a reliable connection to support the connectivity via other types of nodes that communicate with the sensor nodes. This paper proposes the usage of a network composed by Unmanned Aerial Vehicles (UAVs) as a relay network to guarantee the delivery of data produced by WSN nodes on the ground to the users. Results from simulations of the proposed technique are provided and discussed.

关键词： Base stations Unmanned aerial vehicles Mobile communication Wireless sensor networks Peer to peer computing Mobile computing Relays

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Integrated use of artificial neural networks and genetic algorithms for problems of alarm processing and fault diagnosis in power systems

Integrated use of artificial neural networks and genetic alg...

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2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010

作者： Fritzen, Paulo Cícero Cardoso Jr., Ghendy Zauk, João Montagner De Morais, Adriano Peres Bezerra, Ubiratan H. Beck, Joaquim A. P. M. Federal Institut of Education Science and Tecnology of Tocantins Campus Palmas IFTO Avenue LO 5 Block AE 310 South Palmas Tocantins 77021-090 Brazil Federal University of Santa Maria Eletrical Engineering Pós-Graduate Program UFSM Avenue Roraima 1000 Santa Maria Rio Grande do Sul 97105-900 Brazil Federal University of Pará Department of Electrical Engineering and Computer Street Augusto Corrêa 01 Guamá 66075-110 Belém Pará Brazil Centrais Elétricas Do Norte Do Brasil S/A Eletronorte Quarter 06 Set A B and Block C Asa Norte 70.716-901 Brasília DF Brazil

ISBN: (纸本)3642121446

This work approaches relative aspects to the alarm processing problem and fault diagnosis in system level, having as purpose filter the alarms generated during a outage and identify the equipment under fault. A methodology was developed using Artificial Neural Networks (ANN) and Genetic Algorithms (GA) in order to resolve the problem. This procedure had as initiative explore the GA capacity to deal with combinatory problems, as well as the ANN processing speed and generalization capacity. Such strategy favors a fast and robust solution. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Neural networks

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Abstracts from the 2011 Joint Annual Meeting of the Society for Northwestern Vertebrate Biology and Washington Chapter of the Wildlife Society, Held at the Wesley Inn, Gig Harbor, Washington, March 23–25, 2011

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Northwestern Naturalist 2011年第2期92卷 136-166页

作者： Michael J. Adams Christopher A. Pearl Jessica Y. Adkins Daniel D. Roby Ladd Bayliss Peter J. Loschl Donald E. Lyons Yasuko Suzuki Hannah E. Anderson Sarah T. Hamman Keith B. Aubry Catherine M. Raley John J. Rohrer Eric C. Lofroth Scott H. Fitkin Michael L. Best Hartwell H. Welsh Jamie B. Bettaso Don T. Ashton Hartwell H. Welsh Scott McBain Lindsay M. Biga Andrew R. Blaustein Susan F. Brady R. Steven Wagner Daniel J. Selski James E. Johnson R. Bruce Bury Wynn W. Cudmore Hartwell H. Welsh Nathan D. Chelgren Tara Chestnut Chaucney W. Anderson Julie Kirshtein Megan T. Cook Tiffany S. Garcia Stephen Corn Erin Muths Amanda Kissel Rick Scherer Eric Delvin Jonathan D. Bakker Peter W. Dunwiddie Diana L. Dishman Deborah A. Duffield Harriet R. Huber Dyanna M. Lambourn Karen M. Dvornich Greg Falxa Gary M. Fellers Patrick M. Kleeman David Miller Brandon Fessler Jason T. Irwin Daniel D. Beck R. Steven Wagner Marc P. Hayes John A. Frew Christian E. Grue Chris R. Friesen Robert T. Mason Stevan J. Arnold Suzanne Estes Tiffany S. Garcia Katie M. Dugger Josh Johnson Mike Rochelle A. J. Kroll Stephanie S. Gervasi Caren S. Goldberg Dan Davis Erica Bree Rosenblum Bill Bosworth Lisette P. Waits Purnima Govindarajulu Gregory A. Green Steve Negri Jennifer R. Griffiths Daniel E. Schindler Christian E. Grue Karen M. Dvornich Adam G. Hansen David A. Beauchamp Casey M. Baldwin Marc P. Hayes Gretchen Padgett-Flohr Blake R. Hossack Winsor H. Lowe Paul Stephen Corn Aaron N. Johnston Kris Kendell Dave Prescott Scott Stevens Peter M. Kiffney Carol Volk Kerensa A. King Christian E. Grue James M. Grassley Andrew J. Kroll Matt Hane Josh Johnston Mike Rochelle Stuart Farber Niels Leuthold Michael J. Adams John P. Hayes Bo Li Michael T. Brett Kent B. Livezey Ilon E. Logan Teresa J. Lorenz Kimberly A. Sullivan Amanda V. Bakian Deanna Lynch Nancy Thomas Krysten Schuler Steven Jeffries Joshua Malt Kelly R. McAllister Joanne P. Schuett-Hames Aimee P. McIntyre Jay E. Jones Eric M. Lund Frithiof T. Waterstrat Jack N. Giovanini Stephen D. Duke Marc P. Hayes US Forest Service Pacific Northwest Research Station Olympia WA 98512 kaubry@fs.fed.us US Forest Service Okanogan-Wenatchee National Forest Methow Valley Ranger District Winthrop WA 98862 British Columbia Ministry of Environment Victoria BC V8W9M1 Washington Department of Fish and Wildlife Winthrop WA 98862 Humboldt State University 1 Harpst St. Arcata CA 95521 addsmike14@*** US Forest Service Pacific Southwest Research Station 1700 Bayside Dr. Arcata CA 95521 hwelsh@fs.fed.us US Fish and Wildlife Service Arcata Field Office 1655 Heindon Road Arcata CA 95521 jamie_bettaso@fws.gov Redwood Sciences Laboratory US Forest Service1700 Bayview Drive Arcata CA 99521 dashton@fs.fed.us hwelsh@fs.fed.us McBain &amp Trush 980 7th Street Arcata CA 95521 scott@*** Oregon State University Environmental Sciences Graduate Program Corvallis OR 97331 lindsay.biga@science.oregonstate.edu Oregon State University Department of Zoology Corvallis OR 97331 US Geological Survey Forest and Rangeland Ecosystem Science Center 3200 SW Jefferson Way Corvallis OR 97331 buryb@usgs.gov Life Science Department Chemeketa Community College Salem OR 97309 wynn.cudmore@chemeketa.edu US Forest Service Redwood Sciences Laboratory 1700 Bayview Drive Arcata CA 95521 hwelsh@fs.fed.us USGS Oregon Water Science Center 2130 SW 5th Avenue Portland OR 97207 chestnut@usgs.gov USGS Headquarters 12201 Sunrise Valley Drive Reston VA 20192 US Geological Survey Northern Rocky Mountain Science Center Aldo Leopold Wilderness Research Institute 790 E. Beckwith Avenue Missoula MT 59801 scorn@usgs.gov US Geological Survey Fort Collins Science Center 2150 Centre Avenue Building C Fort Collins CO 80526 Department of Biological Sciences Simon Fraser University Burnaby BC V5A 1S6 Colorado State University Department of Fishery and Wildlife Biology Fort Collins CO 80523 The Nature Conservancy 120 Union Ave SE Olympia WA 98501 edelvin@tnc.org School of Forest Resources University of Washington Seattle WA

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System identification of magneto-rheological damper using group method of data handling (GMDH)

System identification of magneto-rheological damper using gr...

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2009 6th International Symposium on Mechatronics and its Applications, ISMA 2009

作者： Assaleh, Khaled Shanableh, Tamer Kheil, Yasmeen Abu Department of Electrical Engineering American University of Sharjah United Arab Emirates Department of Computer Science and Engineering American University of Sharjah United Arab Emirates Mechatronics Graduate Program American University of Sharjah United Arab Emirates

ISBN: (纸本)9781424434817

In this paper Group Method of Data Handling (GMDH) technique is implemented and applied to the system identification problem of a Magneto-Rheological (MR) damper. GMDH networks are used to approximate the forward and inverse dynamic behaviors of a MR damper. The difficulty of this identification problem stems from the inherent hysteretic and highly nonlinear dynamics of MR dampers. The GMDH-based solution exhibits comparable identification accuracy in both the forward and inverse models as compared to state-of-the-art more computationally extensive solutions. © 2009 IEEE.

关键词： Inverse problems

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Design an empathic virtual human to encourage and persuade learners in e-learning systems

Design an empathic virtual human to encourage and persuade l...

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1st ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09

作者： Wang, Chin-Yeh Chen, Gwo-Dong Liu, Chen-Chung Liu, Baw-Jhiune Taiwan e-Learning and Digital Archives Program Office National Central University Taiwan Department of Computer Science and Information Engineering National Central University Taiwan Graduate Institute of Network Learning Technology National Central University Taiwan Department of Computer Science and Engineering Yuan-Ze University Taiwan

ISBN: (纸本)9781605587578

Studies indicate that making learners feel good is important only minor to clear knowledge transformation. Many studies have tried to use virtual humans as a part of interface in learning systems to increase the effect of instructions. Based on social interaction and pedagogical theories, many e-learning systems use animated films or virtual reality to boost human-computer engagement and ease their negative emotions. However, affective learning systems still need much research to improve their functionalities and usability. This study proposed a convenient approach to develop an emotionally interactive learning system;learners can express their emotions by mouse-clicking while learning. A virtual human was created to empathically react to learners in proactive and reactive ways to encourage and persuade them into persistent learning and help achieve their goals. Experimental results show that, averagely, subjects can tell virtual human's emotions and agree to its empathic reactions. Persuasion conducted by virtual human could not increase subjects' learning time, but could significantly increase their completion rate of exercises. Copyright 2009 ACM.

关键词： Learning systems

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An authenticated anonymous group key management with only one rekey message

An authenticated anonymous group key management with only on...

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5th IASTED European Conference on Internet and Multimedia Systems and Applications, EuroIMSA 2009

作者： Wuu, Lih-Chyau Hung, Chi-Hsiang Department of Computer Science and Information Engineering National Yunlin University of Science and Technology 123 University Road Touliu Yunlin Taiwan Graduate School of Engineering Science and Technology Doctoral Program National Yunlin University of Science and Technology 123 University Road Touliu Yunlin Taiwan

ISBN: (纸本)9780889868021

In Internet, IP multicast has been used successfully to provide an efficient, best-effort delivery service for group communication applications. However, applications such as multiparty private conference, distribution of stock market information, pay per view and other subscriber services require secure multicast to protect integrity and confidentiality of the group traffic, and validate group member's authenticity. Providing secure multicast for group communication is problematic without a robust group key management. In this paper, we propose an anonymous group key management with ID-based Signature and secret sharing technologies to distribute a new group key securely to each participant of a group with only one rekey message whenever the group membership changes. The key management guarantees that a legal user, without revealing his/her real identity, can join a group after finishing the mutual authentication with the group initiator, and enforces the forward secrecy and backward secrecy.

关键词： Multicasting

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An agent framework to support sensor networks' setup and adaptation

An agent framework to support sensor networks' setup and ada...

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International Multiconference on computer science and Information Technology, IMCSIT '09

作者： De Freitas, Edison Pignaton Heimfarth, Tales Ferreira, Armando Morado Wagner, Flávio Rech Pereira, Carlos Eduardo Larsson, Tony IDE Halmstad University Halmstad Sweden Institute of Informatics UFRGS Porto Alegre Brazil Computer Science Department UFLA Lavras Brazil Defense Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil

ISBN: (纸本)9781424453146

Sensor networks are being used in several emerging applications not even imagined some years ago due to advances in sensing, computing, and communication techniques. However, these advances also pose various challenges that must be faced. One important challenge is related to the autonomous capability needed to setup and adapt the networks, which decentralizes the control of the network, saving communication and energy resources. Middleware technology helps in addressing this kind of problem, but there is still a need for additional solutions, particularly considering dynamic changes in users' requirements and operation conditions. This paper presents an agent-based framework acting as an integral part of a middleware to support autonomous setup and adaptation of sensor networks. It adds interoperability among heterogeneous nodes in the network, by means of autonomous behavior and reasoning. These features also address the needs for system setup and adaptations in the network, reducing the communication overhead and decentralizing the decision making mechanism. Additionally, preliminary results are also presented. © 2009 IEEE.

关键词： Middleware

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A new solution method for joint replenishment problem

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International Journal of Manufacturing Technology and Management 2009年第1-2期16卷 166-175页

作者： Yoo, Myungryun Lin, Lin Department of Computer Science and Media Engineering Musashi Institute of Technology Tokyo Japan Graduate School of Information Production and Systems Waseda University Kitakyushu-shi Japan Research Institute for Science and Engineering Graduate School of Information Production and Systems Waseda University Japan

In this paper, we propose a new approach for the Joint Replenishment Problem (JRP) where items are procured from multisupplier. In solution algorithms, Genetic Algorithm (GA) and Simulated Annealing (SA) are cooperatively used. In the new method, the convergence of GA is improved by introducing the probability of SA as the criterion for acceptance of new trial solution. The purpose of an algorithm proposed in this paper is to minimise the total relevant costs per unit time. The effectiveness of the new algorithm for the JRP is shown through a simulation study. Copyright © 2009 Inderscience Enterprises Ltd.

关键词： Genetic algorithms

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Time series mining approach for noninvasive intracranial pressure assessment: An investigation of different regularization techniques

Time series mining approach for noninvasive intracranial pre...

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2009 WRI World Congress on computer science and Information engineering, CSIE 2009

作者： Wu, Shaozhi Xu, Peng Asgari, Shadnaz Bergsneider, Marvin Hu, Xiao Department of Neurosurgery David Geffen School of Medicine University of California Los Angeles CA United States Biomedical Engineering Graduate Program Henry Samueli School of Engineering and Applied Science University of California Los Angeles CA United States School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9780769535074

A data mining framework has been proposed to estimate intracranial pressure (ICP) non-invasively in our previous work. In the corresponding approach, the feature vector extracted from arterial blood pressure (ABP) and flow velocity (FV) is translated to the estimated errors by the mapping function for each entry in the database. In this paper, three different mapping function solutions, linear least squares (LLS), truncated singular value decomposition (TSVD) and standard Tikhonov regularization (STR) are systemically tested to compare the possible effects of different solutions on the non-invasive ICP estimation. The conducted comparison demonstrated that the selection of mapping function solution actually influences the estimation. Among the tested three solutions for mapping function, TSVD and STR show better ICP estimation performance with smaller ICP errors than LLS. © 2008 IEEE.

关键词： Flow velocity

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