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检索条件"任意字段=19th IASTED International Conference on Parallel and Distributed Computing and Systems"

共 564 条记录，以下是151-160 订阅

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Adaptive MaxEnt modeling of distributed decision fusion without knowledge of prior probabilities of local decisions

Adaptive MaxEnt modeling of distributed decision fusion with...

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international conference on Information Fusion

作者： Ivan Kadar Kenneth Hintz Interlink Systems Sciences Inc. Lake Success NY USA Dept. of Electrical & Computer Engineering George Mason University Fairfax VA U.S.A.

We introduce the method of the Maximum Entropy (MaxEnt) model for fusing local decisions in a distributed multiple sensor system. the fusion center receives local binary decisions in the usual parallel architecture. No assumptions are made about knowing any local decision rules. Our approach is based on the concept of machine learning, wherein the MaxEnt parametric model is used for supervised classification and prediction serving as the central (global) decision rule. therefore, the system is able to learn the detection performance of the sensors as a function of time without prior knowledge of the actual probabilities of local decisions, only requiring an initial set of random training data. thus it is demonstrated that the system is adaptive and can learn contextual changes of the sensors. Furthermore, we provide simulation results comparing the MaxEnt fusion center performance with published results using both the Bayesian formulation and Neyman-Pearson criterion and with MaxEnt achieving the best, realistic detection performance demonstrating the effectiveness of the method.

关键词： Entropy Training data Adaptive systems Data models Bayes methods Adaptation models

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Evaluation of an MPI-Based Implementation of the Tascell Task-parallel Language on Massively parallel systems

Evaluation of an MPI-Based Implementation of the Tascell Tas...

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international conference on parallel Processing Workshops (ICPPW)

作者： Daisuke Muraoka Masahiro Yasugi Tasuku Hiraishi Seiji Umatani Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Department of Artificial Intelligence Kyushu Institute of Technology Academic Center for Computing and Media Studies Kyoto University Graduate School of Infomatics Kyoto University

ISBN: (纸本)9781509028269

Tascell is a task parallel language that supports distributed memory environments. the conventional implementation of Tascell realizes inter-node communication with TCP/IP communication via Tascell servers. this implementation is suitable for dynamic addition of computation nodes and wide-area distributed environments. On the other hand, in supercomputer environments, TCP/IP may not be available for inter-node communication and there may be no appropriate places for deploying Tascell servers. In this study, we have developed a server-less implementation of Tascell that realizes inter-node communication with MPI communication in order to evaluate its performance on massively parallel systems. It performs well on four Xeon Phi coprocessors (with 456 workers) and the K computer, for instance, our 19-queens solver achieves a 4615-fold speedup relative to a serial implementation with 7168 workers on the K computer. Our server-less implementation realizes deadlock freedom, although it only requires the two-sided communication paradigm and the MPI_thREAD_FUNNELED support level. On Xeon Phi coprocessors, we compare our implementation with other implementations that employ TCP/IP or the MPI_thREAD_MULTIPLE support level.

关键词： Message systems Servers System recovery Computers Coprocessors TCPIP parallel processing

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Analyzing the Effects of Reordering Work List Items for Selected Control Flow Patterns 19

Analyzing the Effects of Reordering Work List Items for Sele...

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IEEE 19th international Enterprise distributed Object computing (EDOCW)

作者： Pflug, Johannes Rinderle-Ma, Stefanie Univ Vienna Res Grp Workflow Syst & Technol Vienna Austria

ISBN: (纸本)9781467393317

Efficient resource management is an important requirement for many process-oriented applications. Typically, work items are assigned to resources through their work lists. there are many reasons for reordering work items in a resource's work list. For process scheduling, for example, swapping process instances constitutes a mean to keep due times. At the same time, reducing the throughput time of the global process is typically not the primary goal. For process optimization, in turn, the implications of reordering work items on the overall temporal performance of the process might be crucial. In this paper, we investigate how reordering work items affects performance parameters that are typically associated with a first-in-first-out processing mechanism at resources. the analysis is conducted for single process tasks and for typical control flow patterns such as sequence as well as parallel and alternative branchings. It is shown that the implications on the global throughput time are less than expected, while the effects on instance-based parameters strongly depend on the control-flow pattern in which the reordering mechanism is implemented. the results are supported by means of a simulation.

关键词： information systems resource allocation scheduling alternative branchings control flow patterns first-in-first-out processing mechanism instance based parameters parallel branchings process optimization process scheduling resource management work list items reordering mechanism Delays Electronic mail Engines Optimization Process control throughput Yttrium Business Process Analysis Business Process Management Business Process Optimization Work List Management management of resources FLOW PATTERNS Process optimization Business process management electronic mail throughput time Engines Process control Rare earths yttrium throughput Computer based information systems Resource utilization delay

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PASSENGERS' CHOICES ON AIRPORT DROP-OFF SERVICE: A DECISION FORECAST BASED ON SOCIAL LEARNING AND MACHINE LEARNING

PASSENGERS' CHOICES ON AIRPORT DROP-OFF SERVICE: A DECISION ...

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2016 4th IEEE international conference on Cloud computing and Intelligence systems（IEEE CCIS2016）

作者： Zhongqiang Wang Jian Peng Yu Chen Limiao Ning College of Computer Science Sichuan University

ISBN: (纸本)9781509012572

Airport drop-off service provided by airlines is a chauffeur-driven service(i.e. Uber and Di Di) as an emerging travel choice for travelers. More and more passenger enjoy the drop-off service. In practice, we find an interesting question: if a passenger has ever choice the drop-off service, whether they are willing to recommend this service to other traveler? Although the acknowledgment that social learning is related to travel decision is promoted, quantitative analysis about how social learning shape and impact the decision of passengers is still limited. We study and estimate a diffusion probability between different passengers by proposing a CCM(Co-travel Link Cascade Model) based on a modified EM iterative algorithm. then, we segment passengers into three types(Influenced, Unchecked and Immune). the three types of passengers are predicated by approaches of IC-like model, Random Forest model and probabilistic model, respectively. In addition, we also design a parallel implementation of our proposed algorithm in the Apache Spark distributed data processing environment. Experimental results on a real aviation data set demonstrate that CCM can efficiently infer the decision of travelers.

关键词： Airport drop-off service Social influence EM algorithm Machine learning parallel algorithm

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GPU-PSO : parallel Particle Swarm Optimization approaches on Graphical Processing Unit for Constraint Reasoning: Case of Max-CSPs 19th

GPU-PSO : Parallel Particle Swarm Optimization approaches on...

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19th international conference on Knowledge Based and Intelligent Information and Engineering systems (KES)

作者： Dali, Narjess Bouamama, Sadok Univ Manouba Natl Sch Comp Sci COSMOS Lab Manouba Tunisia

Constraint Satisfaction Problems (CSPs) occur now in different domains. Several methods are used to solve them. In particular, Particle Swarm Optimization (PSO) allows to solve efficiently CSPs by significantly reducing the calculation time to explore the search space of solutions. However, this metaheuristic is excessively costing when facing large instances. In this paper we address the Maximal Constraint Satisfaction Problems (Max-CSPs). We introduce a new resolution approach that allows solving efficiently the Max-CSPs even with large instances. Our purpose is to implement a PSO based method by using the GPU architecture as a parallel computing framework. In particular, we focus on the implementation of two parallel novel approaches. the first one is a parallel GPU-PSO for Max-CSPs (GPU-PSO) and the second one is a GPU distributed PSO for Max-CSPs (GPU-DPSO). Our experimental results show the efficiency of the two proposed approaches and their ability to exploit GPU architecture. (C) 2015 the Authors. Published by Elsevier B.V.

关键词： particle swarm optimization Maximal Constraint satisfaction problems GPU-computing

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distributed system for satellite trajectory estimation 19

Distributed system for satellite trajectory estimation

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19th international conference on System theory, Control and computing (ICSTCC)

作者： Barbulescu, Lucian Florentin Bazavan, Petru Calin Dabu, Claudia Maria Univ Craiova Fac ACE Dept CIT Craiova Romania Univ Craiova Fac MNS Dept Informat Craiova Romania CS Romania SA Craiova Romania

ISBN: (纸本)9781479984817

the near-Earth space surveillance requires accurate and fast orbit predictions for the multitude of objects that are present around our planet. this prediction is performed by means of orbit propagators which offer solutions to the satellite equations of motion. Based on the method of computation those propagators are split into three categories: analytical, numerical and semi-analytical, each with its own advantages and disadvantages. Today a large number of propagators are implemented in the form of software libraries, some proprietary and some freeware or even open-source. In this paper we have taken a semi-analytical propagator from an open-source Java library and used it in a distributed environment in order to compute the position of a satellite during a large time interval.

关键词： parallel and distributed computing Java orbital state computation satellite propagation

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Minimal Sufficient Information about the Scientific Workflows to Create Reproducible Experiment 19

Minimal Sufficient Information about the Scientific Workflow...

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19th IEEE international conference on Intelligent Engineering systems (INES)

作者： Banati, Anna Kacsuk, Peter Kozlovszky, Miklos MTA SZTAKI H-1518 Budapest Hungary Univ Westminster London W1W 6UW England Obuda Univ John von Neumann Fac Informat Biotech Lab Becsi Str 96-b H-1034 Budapest Hungary

ISBN: (纸本)9781467379397

the reproducibility of an in-silico experiment is a great challenge because of the parallel and distributed environment and the complexity of the scientific workflows. In order to solve such problems on one hand provenance data has to be captured about the dataflow, the ancestry of the results and the environment of the execution, on the other hand description data has to be collected from the scientist and stored about the essential details, the types and samples of input/output data, and the operation of the experiment. the ultimate goal of our work is to propose a minimal dataset for recording and reporting scientific workflow based experiment, which will facilitate the reproducibility of such experiments, the public repositories and enable to share and reuse the scientific results. One part of the dataset can be filled in manually by the scientist, certain part can be filled in automatically by the system and other part can be filled in from provenance data.

关键词： data handling parallel processing workflow management software distributed environment hand description data hand provenance data in-silico experiment parallel environment scientific workflows Artificial intelligence conferences Databases Documentation Hardware Libraries Workflow management software Workflow management software data processing parallel PROCESSING (COMPUTERS) Artificial Intelligence Computer hardware Libraries Database Workflow

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distributed control of voltage supply system used in electric vehicles 19

Distributed control of voltage supply system used in electri...

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19th international conference on System theory, Control and computing (ICSTCC)

作者： Alexa, Ioan-Alex Onea, Alexandru Gh Asachi Tech Univ Iasi Dept Automat Control & Appl Informat Iasi Romania

ISBN: (纸本)9781479984817

the actual trend in automotive is to reduce as much as possible pollution caused by motor vehicle emissions. this could be achieved by using electrical propulsion systems which usually contains: electrical machine, three phase voltage source inverter (VSI), voltage supply system. the main problem of the full electric vehicles represents the autonomy due to low energy capacity of batteries. this issue could be solved by using a hydrogen fuel cell in parallel with a battery pack to extend the range of the electrical vehicles. this paper presents a voltage supply system which connects to a DC bus a battery, a fuel cell, and a supercapacitor using DCDC converters. the focus of this work is on keeping controlling the voltage level of DC bus and on energy distribution between elements of voltage supply system. the proposed algorithm is validated using a close loop model which contains simulation of: fuel cell, battery pack, supercapacitor, DCDC converter, distributed control strategy of voltage supply system, DC Link capacitor, VSI, electrical machine, vehicle dynamics, and driver. the model is developed in Matlab/Simulink.

关键词： voltage supply system electric vehicle distributed control fuel cell supercapacitor

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Performance analysis for job scheduling in hierarchical HPC systems: A coloured petri nets method 15th

Performance analysis for job scheduling in hierarchical HPC ...

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15th international conference on Algorithms and Architectures for parallel Processing, ICA3PP 2015

作者： Li, Zhijia Jiao, Li Hu, Xiang State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9783319271392

distributed computing technology has been widely used to solve complex problems appearing in parallel processing systems. Job scheduling is very important in many distributed computing systems, like grid systems and high performance computers. their performance is directly related to the efficiency of the distributed computing systems. Modeling them and analyzing their performance can provide quantitative performance metrics and predictions, which are helpful to guide capacity planning and scheduling optimization. In this paper, we study job scheduling systems widespread in high performance computing systems and propose a coloured Petri net method for analyzing their performance, which can be easily implemented in CPN software by potential users. We also propose an approximative modeling technique so as to reduce the model size. As a model-based performance analysis method, our method is low cost and highly flexible. Experimental results show that our method is feasible and can be applied to more complex and large-scale systems. © Springer international Publishing Switzerland 2015.

关键词： parallel processing systems

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Extremum Co-Energy Principle for Analyzing AC Current Distribution in parallel-Connected Wires of High Frequency Power Inductors

Extremum Co-Energy Principle for Analyzing AC Current Distri...

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international conference on Electrical Machines and systems

作者： T. Shirakawa G. Yamasaki K. Umetani E. Hiraki Okayama University 3-1-1 Tshushimanaka Kita-ku Okayama Japan

ISBN: (纸本)9781467388634

Inductor winding is often composed as parallel-connected wires to suppress the copper loss. However, in high frequency inductors, the proximity effect can cause concentrated AC current distribution, hindering suppression of the copper loss. therefore, optimization of the physical inductor structure requires predicting the AC current distribution. Although simulators are commonly employed for predicting the AC current distribution, simple analytical methods are also required for effective design or invention of the inductor structure with less copper loss. the purpose of this paper is to propose a novel analysis method of the AC current distribution in parallel-connected wires of high frequency inductors. the proposed method is based on a novel insight that the AC current is distributed to give an extremum of the magnetic co-energy contributed by the AC flux and the AC current under the given total AC current. Experiments are presented in this paper to verify the proposed method.

关键词： AC current distribution Magnetic coenergy Inductor Magnetic circuit

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