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IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Limin Wang Sandeep S. Kulkarni Software Engineering and Network Systems Laboratory Department of Computer Science and Engineering Michigan State University East Lansing MI USA

We present a simple, local protocol, pCover, which provides partial (but high) coverage in sensor networks. Through pCover, we demonstrate that it is feasible to maintain a high coverage (~90%) while significantly increasing coverage duration when compared with protocols that provide full coverage. In particular, we show that we are able to maintain 94% coverage for a duration that is 2.3-7 times the duration for which existing protocols maintain full coverage. Through simulations, we show that our protocol provides load balancing, i.e., the desired level of coverage is maintained (almost) until the point where all sensors deplete their batteries

关键词： Protocols Peer to peer computing Batteries Surveillance Fires Communications Society Sensor systems Load management software engineering Laboratories

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A budget constrained scheduling of workflow applications on utility Grids using genetic algorithms

A budget constrained scheduling of workflow applications on ...

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Workshop on Workflows in Support of Large-Scale science, WORKS

作者： Jia Yu Rajkumar Buyya Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne VIC Australia

Over the last few years, grid technologies have progressed towards a service-oriented paradigm that enables a new way of service provisioning based on utility computing models. Users consume these services based on their QoS (quality of service) requirements. In such “pay-per-use” grids, workflow execution cost must be considered during scheduling based on users' QoS constraints. In this paper, we propose a budget constraint based scheduling, which minimizes execution time while meeting a specified budget for delivering results. A new type of genetic algorithm is developed to solve the scheduling optimization problem and we test the scheduling algorithm in a simulated grid testbed.

关键词： Genetic algorithms Silicon Photovoltaic effects Optical interconnections Microactuators Electrostatics Electrodes Mirrors Photovoltaic systems Solar power generation

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Exploiting Data Mining Techniques for Improving the Efficiency of a Supply Chain Management Agent

Exploiting Data Mining Techniques for Improving the Efficien...

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Web Intelligence and intelligent Agent Technology Workshops (WI-IAT)

作者： Andreas L. Symeonidis Vivia Nikolaidou Pericles A. Mitkas Intelligent Systems and Software Engineering Laboratory Informatics and Telematics Institute CERTH Thessaloniki Greece Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

Supply chain management (SCM) environments are often dynamic markets providing a plethora of information, either complete or incomplete. It is, therefore, evident that such environments demand intelligent solutions, which can perceive variations and act in order to achieve maximum revenue. To do so, they must also provide some sophisticated mechanism for exploiting the full potential of the environments they inhabit. Advancing on the way autonomous solutions usually deal with the SCM process, we have built a robust and highly-adaptable mechanism for efficiently dealing with all SCM facets, while at the same time incorporating a module that exploits data mining technology in order to forecast the price of the winning bid in a given order and, thus, adjust its bidding strategy. The paper presents our agent, Mertacor, and focuses on the forecasting mechanism it incorporates, aiming to optimal agent efficiency

关键词： Data mining Supply chain management intelligent agent Delta modulation Supply chains Robustness Manufacturing Assembly Data engineering intelligent systems

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GeneCity: A Multi Agent Simulation Environment for Hereditary Diseases

GeneCity: A Multi Agent Simulation Environment for Hereditar...

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ACS/IEEE International Conference on computer systems and Applications

作者： D.G. Eliades A.L. Symeonidis P.A. Mitkas Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece Intelligent Systems and Software Engineering Laboratory Informatics and Telematics Institute CERTH Thessaloniki Greece

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Visualizing Requirements in UML Models

Visualizing Requirements in UML Models

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International Workshop on Requirements engineering Visualization (REV)

作者： Sascha Konrad Heather Goldsby Karli Lopez Betty H.c. Cheng Software Engineering and Network Systems Laboratory Department of Computer Science and Engineering Michigan State University East Lansing MI USA USA

As the Unified Modeling Language (UML) and modeldriven development (MDD) become increasingly common in industry, many developers are faced with the difficult task of understanding how an existing UML model realizes system requirements. Essentially, developers are required to understand the structure and behavior of UML models that they may have not created. Understanding these relationships is non-trivial, because the interactions in the model are not readily apparent. Commonly, the only means to elicit these relationships is visual inspection and guided simulation. This paper describes an alternative approach termed REVU (Requirements Visualization of UML), a process for visualizing functional requirements in terms of behavioral interactions in a UML model. We illustrate the use of this process with the visualization of scenarios for an adaptive light control system.

关键词： Visualization Unified modeling language Natural languages Inspection Programmable control Adaptive control Lighting control Adaptive systems Control systems Electrical equipment industry

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The Application of Evolutionary Computation in Evacuation Planning

The Application of Evolutionary Computation in Evacuation Pl...

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International Conference on intelligent Transportation

作者： R. Muhdi A. Garrett R. Agarwal J. Davis G. Dozier D. Umphress Department of Industrial & Systems Engineering Aubum University Auburn AL USA Department of Computer Science and Software Engineering ACI Laboratory Aubum University Auburn AL USA Department of Computer Science and Software Engineering Aubum University Auburn AL USA

Evacuation planning plays a significant role in building evacuation. The purpose of this paper is to demonstrate how an evolutionary computation technique in the form of an estimation of distribution algorithm can be used in evacuation planning. This technique is used to evolve the number and location of exits in order to minimize overall evacuation time and reduce the number of casualties and injuries. The algorithm is applied to three day-care layouts, classified as playroom, lunchroom, and classroom settings. The algorithm generates an optimal or near-optimal configuration, and results across several trials can be used to determine the probability that an exit is needed for each possible location. The best exit configurations are presented for each of the three layouts, and a brief analysis is discussed. Although evacuation planning presented in this paper is focused on room layouts, evolutionary computation techniques have the potential to be implemented in large-scale evacuation planning

关键词： Evolutionary computation Buildings Safety Humans Design automation Computational modeling computer simulation Injuries Large-scale systems Predictive models

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Closed Multidimensional Sequential Pattern Mining

Closed Multidimensional Sequential Pattern Mining

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International Conference on Information Technology: New Generations (ITNG)

作者： P. Songram V. Boonjing S. Intakosum Software Systems Engineering Laboratory Department of Mathematics and Computer Science King Mongkut''s Institute of Technology Ladkrabang Bangkok Thailand

We propose a new method, called closed multidimensional sequential pattern mining, for mining multidimensional sequential patterns. The new method is an integration of closed sequential pattern mining and closed itemset pattern mining. Based on this method, we show that (1) the number of complete closed multidimensional sequential patterns is not larger than the number of complete multidimensional sequential patterns (2) the set of complete closed multidimensional sequential patterns covers the complete resulting set of multidimensional sequential patterns. In addition, mining using closed itemset pattern mining on multidimensional information would mine only multidimensional information associated with mined closed sequential patterns, and mining using closed sequential pattern mining on sequences would mine only sequences associated with mined closed itemset patterns

关键词： Multidimensional systems Data mining Itemsets Databases software systems systems engineering and theory Laboratories Mathematics computer science Printers

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Securing UML information flow using flowUML

Securing UML information flow using flowUML

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作者： Alghathbar, Khaled Farkas, Csilla Wijesekera, Duminda Information Systems Department College of Computer and Information Sciences King Saud University P.O. Box 51178 Riyadh 11543 Saudi Arabia Information Security Laboratory Dept. of Computer Science and Engineering University of South Carolina Columbia SC 29208 Dept. of Information and Software Engineering CSIS George Mason University Fairfax VA 22030 Faculty of Information Systems Kind Saud University Riyadh Saudi Arabia Department of Computer Science and Engineering University of South Carolina Columbia Department of Information and Software Engineering George Mason University Fairfax VA George Mason University

FlowUML is a logic-based system to validate information flow policies at the requirements specification phase of UML based designs. It uses Horn clauses to specify information flow polices that can be checked against flow information extracted from UML sequence diagrams. FlowUML policies can be written at a coarse grain level of caller-callee relationships or at a finer level involving passed attributes. Copyright © 2006, Australian computer Society Inc.

关键词： Information management

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Self-stabilizing deterministic time division multiple access for sensor networks

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Journal of Aerospace Computing, Information and Communication 2006年第8期3卷 403-419页

作者： Arumugam, Mahesh Kulkarni, Sandeep S. Michigan State University East Lansing MI 48824 Software Engineering and Network Systems Laboratory Department of Computer Science and Engineering Michigan State University East Lansing MI 48824

An algorithm for time division multiple access (TDMA) is found to be applicable in converting existing distributed algorithms into a model that is consistent with sensor networks. Such a TDMA service needs to be self-stabilizing so that in the event of corruption of assigned slots and clock drift, it recovers to states from where TDMA slots are consistent. Previous self-stabilizing solutions for TDMA are either randomized or assume that the topology is known upfront and cannot change. Thus, the question of feasibility of self-stabilizing deterministic TDMA algorithm where the topology is unknown remains open. In this paper, we present a self-stabilizing deterministic algorithm for TDMA in networks where a sensor is only aware of its neighbors. To our knowledge, this is the first such algorithm that achieves these properties. Moreover, this is the first algorithm that demonstrates the feasibility of stabilization-preserving deterministic transformation of a program in shared-memory model on an arbitrary topology into a program that is consistent with the sensor network model. © 2006 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Time division multiple access

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Finite-Horizon Optimal State-Feedback Control of Nonlinear Stochastic systems Based on a Minimum Principle

Finite-Horizon Optimal State-Feedback Control of Nonlinear S...

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International Conference on Multisensor Fusion and Integration for intelligent systems (MFI)

作者： Marc P. Deisenroth Toshiyuki Ohtsuka Florian Weissel Dietrich Brunn Uwe D. Hanebeck Department of Mechanical Engineering Graduate School of Engineering Osaka University Japan Intelligent Sensor-Actuator-Systems Laboratory Institute of Computer Science and Engineering Universitat Karlsruhe Germany

In this paper, an approach to the finite-horizon optimal state-feedback control problem of nonlinear, stochastic, discrete-time systems is presented. Starting from the dynamic programming equation, the value function will be approximated by means of Taylor series expansion up to second-order derivatives. Moreover, the problem will be reformulated, such that a minimum principle can be applied to the stochastic problem. Employing this minimum principle, the optimal control problem can be rewritten as a two-point boundary-value problem to be solved at each time step of a shrinking horizon. To avoid numerical problems, the two-point boundary-value problem will be solved by means of a continuation method. Thus, the curse of dimensionality of dynamic programming is avoided, and good candidates for the optimal state-feedback controls are obtained. The proposed approach will be evaluated by means of a scalar example system

关键词： Optimal control Nonlinear control systems Control systems Stochastic systems Dynamic programming Stochastic processes Nonlinear equations Taylor series Stochastic resonance intelligent systems

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