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International Conference on Parallel Computing in Electrical Engineering (PAR ELEC 2002)

作者： Karatkevich, A Zakrevskij, A Inst Engn Cybernet Minsk 220012 BELARUS

ISBN: (纸本)0769517307;0769517315

In the paper the task of concurrent analysis of a Petri net is considered. A Petri net is given, and several processes able to simulate transition firings. The methods of analysis described in this paper are based on the original approach to net decomposition and oriented for the so-called operational nets and a class of cyclic Petri nets. The methods analyze the nets by reduced state space constructing;both their sequential and parallel versions are described. Also the algorithm of decomposition oriented to concurrent analysis is described. The suggested methods of analysis can be implemented as a multithread application.

关键词： algorithm design and analysis Analytical models Communication system operations and management Cybernetics Parallel algorithms Performance analysis Petri nets Protocols Reachability analysis State-space methods

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A Cooperative Co-evolutionary Multi-Agent System for Multi-objective Layout Optimization of Satellite Module

A Cooperative Co-evolutionary Multi-Agent System for Multi-o...

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IEEE International Conference on Systems, Man, and Cybernetics (SMC)

作者： Zhang, Zihui Sun, Xueyan Hou, Luyang Chen, Wang Shi, Yanjun Cao, Xuyang Dalian Univ Technol Dalian Peoples R China Concordia Univ Montreal PQ Canada

ISBN: (纸本)9781538616451

we herein propose a new collaborative framework, called cooperative co-evolutionary multi-agent system(CCEMAS), for solving multi-objective layout optimization problems. Every agent in CCEMAS is encoded as a multi-objective cooperative co-evolutionary strategy, including an algorithm and its setting. In the iterative procedure, the strategies will evolve along with the evolution of the agent team, and use different algorithms and settings during different stages of problem solving. A multi-objective optimization of satellite module is solved to validate the method and obtain the Pareto optimal solutions. Finally, the evolution process of multi-objective cooperative co-evolutionary strategies in agents is analyzed for constructing new multi-objective cooperative co-evolutionary algorithms for this problem in the future.

关键词： Satellites Collaboration Layout Pareto optimization Multi-agent systems algorithm design and analysis

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A Breadth-First Search algorithm for Mining Generalized Frequent Itemsets Based on Set Enumeration Tree

A Breadth-First Search Algorithm for Mining Generalized Freq...

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International Symposium on Computer Science and Its Applications

作者： Mao, Yu Xing Shi, Bai Le Fudan Univ Dept Comp & Informat Technol Shanghai 200433 Peoples R China

ISBN: (纸本)9780769534282

Mining generalized association rules is one of important research circa in data mining. If e rise the traditional methods, it frin meet two basic problems. the first is low efficiency in generating, generalized frequent itemsets With the items and levels of taxonomy, increasing and the second is that too much redundant itemsets support are counted. This paper proposes an improved Breadth-First Search method to mine generalized association rules. The experiments oil the real-life data shoe. that our method outperforms the well-known and recent algorithms greatly.

关键词： Itemsets Taxonomy Pediatrics Optimization Transaction databases algorithm design and analysis Association rules

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Scale and Object Aware Image Retargeting for Thumbnail Browsing

Scale and Object Aware Image Retargeting for Thumbnail Brows...

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IEEE International Conference on Computer Vision (ICCV)

作者： Sun, Jin Ling, Haibin Temple Univ Dept Comp & Informat Sci Ctr Data Analyt & Biomed Informat Philadelphia PA 19122 USA

ISBN: (纸本)9781457711022

Many image retargeting algorithms, despite aesthetically carving images smaller, pay limited attention to image browsing tasks where tiny thumbnails are presented. When applying traditional retargeting methods for generating thumbnails, several important issues frequently arise, including thumbnail scales, object completeness and local structure smoothness. To address these issues, we propose a novel image retargeting algorithm, Scale and Object Aware Retargeting (SOAR), which has four components: (1) a scale dependent saliency map to integrate size information of thumbnails, (2) objectness (Alexe et al. 2010) for preserving object completeness, (3) a cyclic seam carving algorithm to guide continuous retarget warping, and (4) a thin-plate-spline (TPS) retarget warping algorithm that champions local structure smoothness. The effectiveness of the proposed algorithm is evaluated both quantitatively and qualitatively. The quantitative evaluation is conducted through an image browsing user study to measure the effectiveness of different thumbnail generating algorithms, followed by the ANOVA analysis. The qualitative study is performed on the RetargetMe benchmark dataset. In both studies, SOAR generates very promising performance, in comparison with state-of-the-art retargeting algorithms.

关键词： Accuracy algorithm design and analysis Deformable models Humans Image segmentation Pollution measurement Visualization

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On Evaluation of Evolutionary Networks Using New Temporal Centralities algorithm 7

On Evaluation of Evolutionary Networks Using New Temporal Ce...

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International Conference on Intelligent Networking and Collaborative Systems (INCoS)

作者： Zelinka, Ivan Tomaszek, Lukas Snasel, Vacav VSB Tech Univ Ostrava FEI Dept Comp Sci Tr 17 Listopadu 15 Ostrava Czech Republic

ISBN: (纸本)9781467376952

In this paper, we are continuing to show mutual intersection of two different areas of research: complex networks and evolutionary computation. We demonstrate that dynamics of evolutionary algorithms, that are based on Darwin theory of evolution and Mendel theory of genetic heritage, can be also visualized as complex networks. Such network can be then analyzed by means of classical tools of complex networks science. Results presented in our previous papers were currently numerical demonstration rather than theoretical mathematical proofs. We opened question whether evolutionary algorithms really create complex network structures and whether this knowledge can be successfully used like feedback for control of evolutionary dynamics and its improvement in order to increase the performance of evolutionary algorithms. This research paper is focused on the dynamics of complex networks from windows time point of view with proposition of a new windows time algorithm to evaluated evolution dynamics. There are described by temporal centralities and change centrality. These centralities are implemented as Gephi plugin and an own tool. At the end are examples of analysis of some networks using implemented algorithms.

关键词： complex networks evolutionary computation Darwin theory of evolution Gephi plugin Mendel theory of genetic heritage evolutionary algorithms evolutionary dynamics evolutionary networks mutual intersection temporal centralities algorithm algorithm design and analysis Complex networks Evolutionary computation Genetic algorithms Heuristic algorithms Power system dynamics Visualization

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Power Flow analysis algorithm for Islanded LV Microgrids Including Distributed Generator Units with Droop Control and Virtual Impedance Loop

Power Flow Analysis Algorithm for Islanded LV Microgrids Inc...

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29th Annual IEEE Applied Power Electronics Conference and Exposition (APEC)

作者： Li, Chendan Chaudhary, Sanjay K. Vasquez, Juan C. Guerrero, Josep M. Aalborg Univ Dept Energy Technol Aalborg Denmark

ISBN: (纸本)9781479923250

In this paper, an improved power flow analysis algorithm for distributed generation (DG) units controlled with P/Q droop functions and virtual impedances in a low voltage (LV) microgrid is proposed. The proposed analysis provides in contrast to conventional power flow calculation techniques: (i) consideration of virtual impedance parameters and (ii) higher accuracy in reactive power flow calculation. The improved power flow analysis algorithm proposed in this paper is validated by comparing the calculation results with detailed time domain simulation results. Case studies have been carried out by analyzing the effects of control parameter variation in the power flow results obtained by the proposed algorithm.

关键词： distributed power generation electric impedance load flow power generation control reactive power DG units P/Q droop functions distributed generator units droop control islanded LV microgrids islanded low voltage microgrids power flow analysis algorithm reactive power flow calculation virtual impedance loop algorithm design and analysis Impedance Load flow analysis Microgrids Reactive power Voltage control

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An Improved Attribute Reduction algorithm based on Attribute Importance Function

An Improved Attribute Reduction Algorithm based on Attribute...

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2nd International Symposium on Intelligent Information Technology Application

作者： Duan, Longzhen Xiahou, Zhenyu Zhong, Erying Zhou, Qing Huang, Longjun Xiao, Yang Nanchang Univ Dept Comp Sci Coll Informat Engn Nanchang 330031 Jiangxi Peoples R China Jiangxi Normal Univ Coll Comp Informat Engn Jian 330022 Jiangxi Peoples R China Jiangxi Normal Univ Software Sch Jian 330027 Jiangxi Peoples R China Jiangxi Inst Econ Administrators Dept Comp Jian 331700 Jiangxi Peoples R China

ISBN: (纸本)9780769535050

A kind of attribute reduction algorithm of Jiahua Lu was firstly introduced and its performance was analyzed briefly, then aimed to its improvable points, a new attribute reduction algorithm based on the Binary Discernibility Matrix and an improved Attribute Importance Function that utilized the potential information of the Information System, which considered attributes' occurrence number and the lengths of the matrix elements, was proposed in the article. The new algorithm can show the real significance of the attributes, and the matrix scale is significantly reduced, its feasibility and validity and its lower time complexity than the similar ones are proved by the comparative analysis.

关键词： Documentation Software algorithms algorithm design and analysis Educational institutions Information technology Application software Computer science Software performance Information analysis Performance analysis

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New Routing algorithms to Balance Traffic Load

New Routing Algorithms to Balance Traffic Load

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IEEE Wireless Communications and Networking Conference (WCNC)

作者： Hesari, Mohsen Eftekhari Narayanan, Lata Opatrny, Jaroslav Concordia Univ Dept CSE Montreal PQ Canada

ISBN: (纸本)9781612842547

We study the load balancing aspect of routing algorithms in wireless ad hoc networks. We define a statistical measure called local coefficient of variance (lcv) to study the smoothness of the load distribution in the network. The importance of keeping lcv as low as possible in designing load balanced routing algorithms is demonstrated. We analyze how number of nodes, transmission range, network area and different routing algorithms can affect this metric. We introduce a class of algorithms called elliptic routing that reduce the maximum load of nodes in the network by avoiding the highly loaded network center at the same time as keeping the lcv of the load distribution low. Experimental results show that our algorithms outperform other existing algorithms in reducing the maximum load of the network. We also give a technique to reduce the lcv of the load distribution, and hence decrease the maximum load of the nodes in the network further. This technique can be combined with any location-based routing algorithm. We evaluate the performance gain obtained by this technique via simulations.

关键词： algorithm design and analysis Arrays Load modeling Measurement Mobile ad hoc networks Routing Simulation ad hoc networks elliptic routing load balanced routing algorithm load balancing load distribution local coefficient of variance location-based routing algorithm statistical measure telecommunication network routing telecommunication traffic traffic load wireless ad hoc networks

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Prediction of workflow execution time using provenance traces: practical applications in medical data processing 12

Prediction of workflow execution time using provenance trace...

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12th IEEE International Conference on e-Science (e-Science)

作者： Hiden, Hugo Woodman, Simon Watson, Paul Newcastle Univ Sch Comp Sci Newcastle Upon Tyne Tyne & Wear England

ISBN: (纸本)9781509042739

The use of cloud resources for processing and analysing medical data has the potential to revolutionise the treatment of a number of chronic conditions. For example, it has been shown that it is possible to manage conditions such as diabetes, obesity and cardiovascular disease by increasing the right forms of physical activity for the patient. Typically, movement data is collected for a patient over a period of several weeks using a wrist worn accelerometer. This data, however, is large and its analysis can require significant computational resources. Cloud computing offers a convenient solution as it can be paid for as needed and is capable of scaling to store and process large numbers of data sets simultaneously. However, because the charging model for the cloud represents, to some extent, an unknown cost and therefore risk to project managers, it is important to have an estimate of the likely data processing and storage costs that will be required to analyse a set of data. This could take the form of data collected from a patient in clinic or of entire cohorts of data collected from large studies. If, however, an accurate model was available that could predict the compute and storage requirements associated with a piece of analysis code, decisions could be made as to the scale of resources required in order to obtain results within a known timescale. This paper makes use of provenance and performance data collected as part of routine e-Science Central workflow executions to examine the feasibility of automatically generating predictive models for workflow execution times based solely on observed characteristics such as data volumes processed, algorithm settings and execution durations. The utility of this approach will be demonstrated via a set of benchmarking examples before being used to model workflow executions performed as part of two large medical movement analysis studies.

关键词： Predictive models Cloud computing Computational modeling algorithm design and analysis Data models Engines Context

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The Swing Up Control Problem For The Acrobot

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IEEE Control Systems 1995年第1期15.0卷 49-55页

作者： Spong, Mark W. The Coordinated Science Laboratory University of Illinois at Urbana-Champaign Urbana IL 61801 1308 W. Main St. United States

Underactuated mechanical systems are those possessing fewer actuators than degrees of freedom. Examples of such systems abound, including flexible joint and flexible link robots, space robots, mobile robots, and robot models that include actuator dynamics and rigid body dynamics together. Complex internal dynamics, nonholonomic behavior, and lack of feedback linearizability are often exhibited by such systems, making the class a rich one from a control standpoint. In this article the author studies a particular underactuated system known as the Acrobot: a two-degree-of-freedom planar robot with a single actuator. The author considers the so-called swing up control problem using the method of partial feedback linearization. The author gives conditions under which the response of either degree of freedom may be globally decoupled from the response of the other and linearized. This result can be used as a starting point to design swing up control algorithms. analysis of the resulting zero dynamics as well as analysis of the energy of the system provides an understanding of the swing up algorithms. Simulation results are presented showing the swing up motion resulting from partial feedback linearization designs.< >

关键词： Robot kinematics Actuators Mobile robots Orbital robotics Control systems Mechanical systems Linear feedback control systems algorithm design and analysis Robotics and automation Equations

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