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Energy-efficient differentiated coverage of dynamic objects using an improved evolutionary multi-objective optimization algorithm with fuzzy-dominance

Energy-efficient differentiated coverage of dynamic objects ...

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Congress on Evolutionary Computation

作者： Soumyadip Sengupta Swagatam Das Md. Nasir Athanasios V. Vasilakos Witold Pedrycz Department of Electronics and Telecommunication Eng Jadavpur University Kolkata India Electronics and Communication Sciences Unit Indian Statistical Institute Kolkata India Middle East Technical University Mersin Turkey Systems Research Institute Polish Academy of Sciences Warsaw Poland Electrical and Computer Engineering Department University of Alberta Edmonton Canada

ISBN: (纸本)9781467315104

We present an energy efficient sensor manager for differentiated coverage of dynamic object group changing their positions with time. The information about the location of the object group is provided to the sensor manager. The manager invokes optimization algorithm whenever the obtained coverage falls below a threshold to sleep schedule the sensor network. Multi-objective Optimization (MO) algorithms help in finding a better trade-off among energy consumption, lifetime, and coverage. Here the motion of the particle is modeled to follow a polynomial variation and with a constant acceleration. We formulate the scheduling problem as a combinatorial, constrained and multi-objective optimization problem with energy and non-coverage as the two objectives to be minimized. The proposed scheme uses a recent variant of a powerful MO algorithm known as Decomposition based Multi-Objective Evolutionary Algorithm (MOEA/D). Systematic comparison with the original MOEA/D and another well-known MO algorithm, NSGA-II (Non-dominated Sorting Genetic Algorithm) quantifies the superiority of the proposed approach.

关键词： Optimization Wireless sensor networks Mathematical model Energy efficiency Energy consumption Monitoring Tracking

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Highlights from the Eighth International Society for Computational Biology (ISCB) Student Council Symposium 2012

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BMC bioinformatics 2012年第SUPPL 18期13卷 A1-A1页

作者： Alexander Goncearenco Priscila Grynberg Olga B Botvinnik Geoff Macintyre Thomas Abeel Computational Biology Unit Department of Informatics University of Bergen Bergen Norway Departamento de Bioquímica e Imunologia Instituto de Ciências Biológicas Universidade Federal de Minas Gerais Belo Horizonte MG Brazil Department of Biomolecular Engineering and Bioinformatics University of California - Santa Cruz USA NICTA Victoria Research Lab The University of Melbourne Victoria 3010 Australia VIB Department of Plant Systems Biology Ghent University Gent Belgium Broad Institute of MIT and Harvard Cambridge MA USA

The report summarizes the scientific content of the annual symposium organized by the Student Council of the International Society for Computational Biology (ISCB) held in conjunction with the Intelligent systems for ...

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EQTL AND MUTATIONAL ANALYSIS OF NB-LRR MEDIATED IMMunitY TO POWDERY MILDEW

EQTL AND MUTATIONAL ANALYSIS OF NB-LRR MEDIATED IMMUNITY TO ...

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The 13th International Cereal Rusts and Powdery Mildews Conference(第13届国际禾谷类锈病与白粉病大会)

作者： Roger WISE Priyanka SURANA Greg FUERST Ruo XU Divya MISTRY Julie DICKERSON Dan NETTLETON Department of Statistics Iowa State UniversityAmesIowa 50011 Department of Plant Pathology and Microbiology Center for Plant Responses to Environmental StressesIowa State UniversityAmesIowa 50011 Department of StatisticsIowa State UniversityAmesIowa 50011 Bioinformatics and Computational Biology Graduate ProgramIowa State UniversityAmesIowa 50011 Department of Electrical and Computer Engineering Iowa State UniversityAmesIowa 50011USA Bioinformatics and Computational Biology Graduate ProgramIowa State UniversityAmesIowa 50011 Bioinformatics and Computational Biology Graduate Program Iowa State UniversityAmesIowa 50011 Department of Plant Pathology and MicrobiologyCenter for Plant Responses to Environmental StressesIowa State UniversityAmesIowa 50011 Department of Plant Pathology and Microbiology Center for Plant Responses to Environmental StressesIowa State UniversityAmesIowa 50011 Bioinformatics and Computational Biology Graduate Program Iowa State UniversityAmesIowa 50011 Crop and Insect GeneticsGenomicsand Informatics Research UnitU.S.Department of Agriculture-Agricultural Research ServiceIowa State UniversityAmesIowa 50011 Crop and Insect Genetics Genomicsand Informatics Research UnitU.S.Department of Agriculture-Agricultural Research ServiceIowa State UniversityAmesIowa 50011

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systems BIOLOGY IN BARLEY POWDERY MILDEW INTERACTIONS

SYSTEMS BIOLOGY IN BARLEY POWDERY MILDEW INTERACTIONS

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The 13th International Cereal Rusts and Powdery Mildews Conference(第13届国际禾谷类锈病与白粉病大会)

作者： Roger WISE Priyanka SURANA Greg FUERST Ruo XU Dan NETTLETON Divya MISTRY Julie DICKERSON Lin WANG Tom BRUTNELL Department of Plant Pathology and Microbiology Center for Plant Responses to Environmental StressesIowa State UniversityAmesIowa 50011USA Department of Statistics Iowa State UniversityAmesIowa 50011USA Bioinformatics and Computational Biology Graduate ProgramIowa State UniversityAmesIowa 50011USA Bioinformatics and Computational Biology Graduate ProgramIowa State UniversityAmesIowa 50011USA Bioinformatics and Computational Biology Graduate Program Iowa State UniversityAmesIowa 50011USA Department of Plant Pathology and MicrobiologyCenter for Plant Responses to Environmental StressesIowa State UniversityAmesIowa 50011USA Crop and Insect Genetics Genomicsand Informatics Research UnitU.S.Department of Agriculture-Agricultural Research ServiceIowa State UniversityAmesIowa 50011USA Department of Plant Pathology and Microbiology Center for Plant Responses to Environmental StressesIowa State UniversityAmesIowa 50011USA Department of StatisticsIowa State UniversityAmesIowa 50011USA Bioinformatics and Computational Biology Graduate ProgramIowa State UniversityAmesIowa 50011USA Bioinformatics and Computational Biology Graduate Program Iowa State UniversityAmesIowa 50011USA Crop and Insect GeneticsGenomicsand Informatics Research UnitU.S.Department of Agriculture-Agricultural Research ServiceIowa State UniversityAmesIowa 50011USA Department of Electrical and Computer Engineering Iowa State UniversityAmesIowa 50011USA Boyce Thompson Institute for Plant ResearchCornell UniversityIthacaNY

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Green flexible opportunistic computing with virtualization

Green flexible opportunistic computing with virtualization

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11th IEEE International Conference on computer and Information Technology, CIT 2011 and 11th IEEE International Conference on Scalable Computing and Communications, SCALCOM 2011

作者： Castro, Harold Sotelo, German Diaz, Cesar O. Bouvry, Pascal Department of Systems and Computer Engineering Universidad de Los Andes Bogota Colombia Computer Science and Communications Research Unit University of Luxembourg L-1359 Luxembourg-Kirchberg Luxembourg

ISBN: (纸本)9780769543888

Energy efficiency and High computing power are basic design considerations across modern-day computing solutions due to different concerns such as system performance, operational cost, and environmental issues. Opportunistic grid infrastructures offer computational power at low cost focused on harvesting idle computing cycles of existing commodity computing resources. Other than allowing to customize the end user offer, virtualization is considered as one key techniques to reduce energy consumption in large-scale systems and contributes to the scalability of the system. This paper presents an energy efficient approach for opportunistic grids based on virtualization. The experimental results show that virtualization significantly improves the energy efficiency of opportunistic grids compared with dedicated computing systems without disturbing the end-user. © 2011 IEEE.

关键词： Virtualization

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Highly-accurate light-penetration based silkworm pupa sex identification system

Highly-accurate light-penetration based silkworm pupa sex id...

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2011 International Quantum Electronics Conference, IQEC 2011 and Conference on Lasers and Electro-Optics, CLEO Pacific Rim 2011

作者： Sumriddetchkajorn, Sarun Kamtongdee, Chakkrit Intelligent Devices and Systems Research Unit National Electronics and Computer Technology Center 112 Thailand Science Park Phahoyothin Rd Klong 1 Klong Luang Pathumthani 12120 Thailand Department of Electrical Engineering Faculty of Engineering Khon Kaen University Khon Kaen 40002 Thailand

This paper proposes and experimentally shows how we combine light penetration concept and simple image processing operations in order to identify gender of a silkworm pupa. Key features include low cost, fast, and hig... 详细信息

ISBN: (纸本)9780977565771

关键词： Animals

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Distributed backstepping control for synchronization of networked class of underactuated systems: A passivity approach

Distributed backstepping control for synchronization of netw...

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Mediterranean Conference on Control and Automation

作者： Ghommam, Jawhar Bouterra, Yassine Mnif, Faiçal Poisson, Gérard National School of Engineering of Sfax Research Unit on Mechatronics and Autonomous Systems BPW 3038 Sfax Tunisia Department of Electrical and Computer Engineering College of Engineering Sultan Qaboos University P.O. Box 33 Muscat 123 Oman Institut Prisme Université d'Orléans BP 6749 45067 Orléans cedex 2 France

ISBN: (纸本)9781457701252

This paper considers the cooperative control problem of networked class of underactuated systems. We propose a new set up for synchronization of this type of systems based on the use of passivity as a design tool to solve the problem in hand. First the underactuated system is transformed to a class of nonlinear system with chain structure using a suitable non-linear static feedback. The cooperative control is designed using a combination of the standard backstepping procedure and the passivity theory by which a synchronizing outputs are constructed recursively then shared within the group. The proposed design technique is based on strongly connected digraph communication structures. Numerical simulations are carried out to illustrate the effectiveness of the proposed approach. © 2011 IEEE.

关键词： Synchronization

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Which clustering algorithm is better for predicting protein complexes?

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BMC research Notes 2011年第1期4卷 1-11页

作者： Moschopoulos, Charalampos N Pavlopoulos, Georgios A Iacucci, Ernesto Aerts, Jan Likothanassis, Spiridon Schneider, Reinhard Kossida, Sophia Bioinformatics and Medical Informatics Team Biomedical Research Foundation Academy of Athens 11527 Athens Soranou Efessiou 4 Greece Department of Computer Engineering and Informatics University of Patras Rio GR-26500 Patras Greece Department of Computer Science and Biomedical Informatics University of Central Greece 35100 Lamia Papasiopoulou 2-4 Greece ESAT-SCD IBBT-K.U. Leuven Future Health Department Katholieke Universiteit Leuven 300 Leuven Kasteelpark Arenberg 10 Belgium Bioinformatics/Structural and Computational Biology European Molecular Biology Laboratory 69117 Heidelberg Meyerhofstrasse 1 Germany Luxembourg Centre for Systems Biomedicine (LCSB) University of Luxembourg Campus Limpertsberg 1511 Luxembourg 162 A avenue de la Faencerie Luxembourg

Background: Protein-Protein interactions (PPI) play a key role in determining the outcome of most cellular processes. The correct identification and characterization of protein interactions and the networks, which they comprise, is critical for understanding the molecular mechanisms within the cell. Large-scale techniques such as pull down assays and tandem affinity purification are used in order to detect protein interactions in an organism. Today, relatively new high-throughput methods like yeast two hybrid, mass spectrometry, microarrays, and phage display are also used to reveal protein interaction networks. Results: In this paper we evaluated four different clustering algorithms using six different interaction datasets. We parameterized the MCL, Spectral, RNSC and Affinity Propagation algorithms and applied them to six PPI datasets produced experimentally by Yeast 2 Hybrid (Y2H) and Tandem Affinity Purification (TAP) methods. The predicted clusters, so called protein complexes, were then compared and benchmarked with already known complexes stored in published databases. Conclusions: While results may differ upon parameterization, the MCL and RNSC algorithms seem to be more promising and more accurate at predicting PPI complexes. Moreover, they predict more complexes than other reviewed algorithms in absolute numbers. On the other hand the spectral clustering algorithm achieves the highest valid prediction rate in our experiments. However, it is nearly always outperformed by both RNSC and MCL in terms of the geometrical accuracy while it generates the fewest valid clusters than any other reviewed algorithm. This article demonstrates various metrics to evaluate the accuracy of such predictions as they are presented in the text below. Supplementary material can be found at: http://***/ bioinformatics/projects/***. © 2011 Moschopoulos et al;licensee BioMed Central Ltd.

关键词： Spectral Cluster Affinity Propagation Valid Cluster Geometrical Accuracy Tandem Affinity Purification

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Highly-accurate light-penetration based silkworm pupa sex identification system

Highly-accurate light-penetration based silkworm pupa sex id...

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International Conference on Quantum Electronics (IQEC)

作者： Sarun Sumriddetchkajorn Chakkrit Kamtongdee Intelligent Devices and Systems Research Unit National Electronics and Computer Technology Center Klong Luang Pathum Thani Thailand Department of Electrical Engineering Faculty of Engineering Khon Kaen University Khon Kaen Thailand

ISBN: (纸本)9780977565771

关键词： Glands Filtering Accuracy Light sources Digital cameras Image processing Shape

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Distributed backstepping control for synchronization of networked class of underactuated systems: A passivity approach

Distributed backstepping control for synchronization of netw...

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Mediterranean Conference on Control and Automation (MED)

作者： Jawhar Ghommam Yassine Bouterra Faiçal Mnif Gérard Poisson Research Unit on Mechatronics and Autonomous Systems National School of Engineering Sfax Tunisia Department of Electrical and Computer Engineering College of Engineering Sultan Qaboos University Muscat Oman Institut Prisme Université d''Oran-Es-senia Orleans France

关键词： Synchronization Manipulator dynamics Joints Backstepping Robot kinematics

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