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检索条件"任意字段=3rd IEEE International Conference on e-Science and Grid Computing"

共 7538 条记录，以下是4981-4990 订阅

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The Design of P2P-based VoD System with VCR Functionality

The Design of P2P-based VoD System with VCR Functionality

引用

3rd international conference on Information Security and Intelligent Control (ISIC)

作者： Chang, Ching-Lung Huang, Sih-Ping Natl Yunlin Univ Sci & Technol Dept Elect Engn Magong City Taiwan Natl Yunlin Univ Sci & Technol Dept Comp Sci & Info Engn Magong City Taiwan

ISBN: (纸本)9781467325882;9781467325875

Peer-to-Peer (P2P) network structure is widely employed for video streaming applications due to its high stability, flexible extensibility and ability to share data stream loading among different peer nodes. This paper proposes an interleaved video frame distribution (IVFD) scheme to resourcefully support full VCR functionalities in P2P environment without searching new source. Instead of acquiring video stream data from a single parent peer, each client peer in the IVFD scheme can simultaneously acquire interleaved video data from multiple parent peers. When a client peer carries out arbitrary VCR operations, such as jumps, fast forward/rewind, those parent peers will be able to provide un-continued video stream data for the client peer. As a result, no video source searching is necessary. Simulation results reveal an excellent load distribution performance and a closed to zero response latency for VCR operations.

关键词： peer-to-peer computing recorders video on demand video recording video streaming

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High Performance computing and Communications: Third international conference, HPCC 2007 Proceedings

引用

3rd international conference on High Performance computing and Communications, HPCC 2007

ISBN: (纸本)9783540754435

The proceedings contain 75 papers. The topics discussed include: programming challenges for petascale and multicore parallel systems;bandwidth-aware design of large-scale clusters for scientific computations;the changing impact of semiconductor technology on processor architecture;a windows-based parallel file system;coarse-grain time slicing with resource-share control in parallel-job scheduling;performance evaluation of distributed computing over heterogeneous networks;hybrid line search for multiobjective optimization;continuous adaptive outlier detection on distributed data streams;a data imputation model in sensor databases;an adaptive parallel hierarchical clustering algorithm;resource aggregation and workflow with webcom;performance evaluation of view-oriented parallel programming on cluster of computers;a low-power globally synchronous locally asynchronous FFT processor;and file and memory security analysis for grid systems.

关键词： Parallel processing systems

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The design of finite state machine for asynchronous replication protocol

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3rd international conference on Intelligent computing

作者： Wang, Yanlong Li, Zhanhuai Lin, Wei Hei, Minglei Hao, Jianhua Northwestern Polytech Univ Sch Comp Sci 127 W Youyi Rd Xian 710072 Shaanxi Peoples R China Univ Technol Dept Finance Zibo 255049 Peoples R China

ISBN: (纸本)9783540742012

Data replication is a key way to design a disaster tolerance system and to achieve reliability and availability. It is difficult for a replication protocol to deal with the diverse and complex environment. This means that data is less well replicated than it ought to be. To reduce data loss and to optimize replication protocols, we (1) present a finite state machine, (2) run it to manage an asynchronous replication protocol and (3) report a simple evaluation of the asynchronous replication protocol based on our state machine. It's proved that our state machine is applicable to guarantee the asynchronous replication protocol running in the proper state to the largest extent in the event of various possible events. It also can helpful to build up replication-based disaster tolerance systems to ensure the business continuity.

关键词： Finite automata

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Access control of cloud users credible behavior based on IPv6 3

Access control of cloud users credible behavior based on IPv...

引用

3rd ieee international conference on Big Data Analysis, ICBDA 2018

作者： Cao, Sisi Zheng, Wenbo Mo, Shaocong Jin, Xin Dai, Chao Fan, Zeyu Qu, Yili Zhou, Jiangwei Deng, Fei School of Software Engineering Xi'an Jiaotong University Xi'an710049 China College of Computer Science and Technology Zhejiang University Hangzhou310027 China School of Management Huazhong University of Science and Technology Wuhan430074 China Software School Fudan University Shanghai10246 China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China School of Data and Computer Science Sun Yat-sen University Guangzhou510006 China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China School of Computer Science and Technology Wuhan University of Technology Wuhan430070 China

ISBN: (纸本)9781538647936

Cloud computing security issues become increasingly serious. Trust is a trust relationship entity acts in accordance with its past experience and interactions built up, may be direct or indirect interaction through a third party recommended interactions. User behavior trust evaluation using AHP, access to users by collecting historical behavior information behavior trust evidence, according to the characteristics of trust evidence will be divided into different trust property among the recalculation by users through analytic hierarchy process and the relative weight of each trust property behavior trust value. Combined with IPv6 protocol, the use of IPv6 extension headers, will assess the value placed header, transmission and validation, so that the program is practical. © 2018 ieee.

关键词： Cloud computing

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Research on the Application of election Algorithms in the GRAN3SAT 3

Research on the Application of Election Algorithms in the GR...

引用

3rd international conference on Cloud computing, Big Data Application and Software engineering, CBASe 2024

作者： Gao, Yuan Jiang, Xiaofeng Chen, Ju Zheng, Chengfeng Kasihmuddin, Mohd Shareduwan Mohd Wen, Chuanbiao School of Medical Information Engineering Chengdu University of Traditional Chinese Medicine Chengdu China School of Mathematical Sciences Universiti Sains Malaysia Penang Malaysia Beidou Application Development Research Institute Beijing China

ISBN: (纸本)9798331506582

Satisfiability (SAT) rules are a well-known combinatorial optimization challenge with numerous applications in computer science and engineering. This paper proposes an evolutionary algorithm-based election strategy to enhance the solving of higher-order logical rules. The approach aims to balance complexity and efficiency, improving the quality and speed of problem-solving while offering more reliable and practical solutions. By integrating the election Algorithm (eA) with the logical rules of GRAN3SAT, the study generates 100 random combinations to evaluate performance. The effectiveness of the eA is assessed based on three key metrics: average iteration count, time complexity, and fitness function. experimental results indicate that the eA achieves high reliability and low computational cost within limited iterations. Compared to the exhaustive Search Algorithm (eS), the eA demonstrates superior reliability, stability, and practicality in addressing higher-order logical rules. © 2024 ieee.

关键词： Combinatorial optimization

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Transformer fault diagnosis based on Bayes active learning 3

Transformer fault diagnosis based on Bayes active learning

引用

3rd international conference on Smart grids and energy Systems, SGeS 2024

作者： Tan, Xuemin Yang, Mingkai Guo, Chao Zhang, Jianglin Zhuang, Huimin Xie, Xiaona Li, Yanxia The College of Automation Chengdu University of Information Technology ChengDu China Chengdu Power Supply Company State Grid ChengDu China

ISBN: (纸本)9798331539634

Dissolved Gas Analysis (DGA) is the most commonly used method for on-site power transformer fault diagnosis. Artificial Intelligence (AI) techniques enhance fault diagnosis but rely on large amounts of labeled data. Active learning optimizes this by selectively querying uncertain, informative samples for manual labeling, which reduces costs and improves diagnostic accuracy with minimal number of labeled data. This paper introduces an innovative Bayes Active Learning Method based entropy Sampling Strategy(BALM-eSS) that employs entropy-based sampling strategy in active learning process to select the most valuable samples for training. The method is validated using the IeC TC10 dataset and is compared with Bayes Random sampling (BRS) which randomly selecting some samples from the unlabeled sample. The findings demonstrate the effectiveness of the proposed algorithm and its robustness in tackling classification problems by spending as few labeled samples as possible. © 2024 ieee.

关键词： Active learning

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X-parameter based design and simulation of Josephson traveling-wave parametric amplifiers for quantum computing applications 3

X-parameter based design and simulation of Josephson traveli...

引用

3rd ieee international conference on Quantum computing and engineering (QCe)

作者： Peng, Kaidong Poore, Rick Krantz, Philip Root, David e. O'Brien, Kevin P. MIT Dept Elect Engn & Comp Sci Cambridge MA 02139 USA Keysight Technol Inc PathWave Software & Solut Calabasas CA USA Keysight Technol Sweden AB Quantum Engn Solut Gothenburg Sweden Keysight Technol Inc Keysight Labs Santa Rosa CA USA

ISBN: (数字)9781665491136

ISBN: (纸本)9781665491136

We present an efficient, accurate, and comprehensive analysis framework for generic, multi-port nonlinear parametric circuits, in the presence of dissipation from lossy circuit components, based on "quantum-adapted" X-parameters. We apply this method to Josephson traveling-wave parametric amplifiers (JTWPAs) - a key component in superconducting and spin qubit quantum computing architectures - which are challenging to model accurately due to their thousands of linear and nonlinear circuit components. X-parameters are generated from a harmonic balance solution of the classical nonlinear circuit and then mapped to the field ladder operator basis, so that the energy associated with each of the multiple interacting modes corresponds to photon occupancy, rather than classical power waves. explicit relations for the quantum efficiency of a generic, multi-port, multi-frequency parametric circuit are presented and evaluated for two distinct JTWPA designs. The gain and quantum efficiency are consistent with those obtained from Fourier analysis of time-domain solutions, but with enhanced accuracy, speed, and the ability to include real-world impairments, statistical variations, parasitic effects, and impedance mismatches (in- and out-of-band) seamlessly. The unified flow is implemented in Keysight's PathWave Advanced Design System (ADS) and independently in an open-source simulation code, ***, from the MIT authors.

关键词： quantum-limited amplifiers Josephson traveling-wave parametric amplifier (JTWPA) cryogenic parametric amplifiers parametric devices X-parameters harmonic balance qubit readout quantum-mechanical loss model

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grid enabled MPI solutions for clusters 03

Grid enabled MPI solutions for clusters

引用

ieee/ACM international Symposium on Cluster computing and the grid (CCgrid)

作者： M. Muller M. Hess e. Gabriel High Performance Computing Center Stuttgart (HLRS) Stuttgart Germany Innovative Computing Laboratory Computer Science Department University of Tennessee Knoxville TN USA

ISBN: (纸本)9780769519197

Distributing an application onto several machines is one of the key aspects of grid-computing. In the last few years several groups have developed solutions for the occurring communication problems. However, the focus on the machines used in distributed environments has changed over the time from Massively Parallel Processing Systems to Clusters. This paper presents the problems arising when coupling several cluster like systems and discusses possible solutions. Furthermore, we present performance results and performance drawbacks of the solutions discussed before.

关键词： High performance computing Libraries grid computing Costs Message passing Sections Delay Bandwidth Distributed computing Laboratories

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Battery Health Prediction Using Deep Hybrid Learning 3

Battery Health Prediction Using Deep Hybrid Learning

引用

3rd international conference on Pervasive computing and Social Networking, ICPCSN 2023

作者： Nair, Rahul Anil Suresh, Dev Karan Rajeswari, D. School of Computing College of Engineering and Technology Srm Institute of Science and Technology Department of Data Science and Business Systems Tamil Nadu Kattankulathur India

ISBN: (纸本)9798350322842

The type and condition of the road the vehicle travels;how long the battery is used for are just a few of the variables that affect the battery life of electric cars (eVs). These elements might affect the battery's lifespan by causing it to drain more quickly than usual. By understanding the various factors that impact battery life, work can be done to mitigate these issues and extend the useful life of the battery. To find the best circumstances for increasing the battery's longevity, this research paper is concentrated on examining the impacts of road conditions on battery life. The previous article classified routes with an accuracy of 83.56% based on battery health while arriving at the destination [1]. This article examines eV routed and categorises them on the basis of the number of brakes applied upon arrival at the destination. By doing so, it aims to develop recommendations for drivers on how to optimize their driving habits to extend the battery's lifespan. Observations indicate that bad routes generally involve a lot more brakes as compared to good routes. Vehicle speed has a negative correlation with heater power in a bad route and a positive correlation in a good route. Battery voltage and Battery state- of-charge have opposing correlations in both categories. In this research, a prediction of the route category was attempted by using Deep Hybrid Learning to integrate three pre-trained models., VGGI6, Resnet50 and VGG19 with two boosting algorithms:- XGBoost and AdaBoost. The accuracy of the six deep hybrid learning models in predicting the category of these routes are as follows:-0.87625, 0.84875, 0.80125, 0.7925, 0.8425 and 0.855. © 2023 ieee.

关键词： Deep learning

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Data demand model based on ubiquitous power internet of things 3

Data demand model based on ubiquitous power internet of thin...

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3rd international conference on Computer Network, electronic and Automation, ICCNeA 2020

作者： Xie, Guangcheng Zeng, Yan Ye, Jun Cheng, Xiaoming State Grid Chongqing Electric Power Company Marketing Service Center Chongqing401121 China

ISBN: (纸本)9781728170831

Ubiquitous power Internet of things can connect power infrastructure, government industry institutions, users and suppliers in full time and space, promote data fusion, realize safe, open and sharing, and promote business innovation of energy Internet. This article introduces the conventional business in the current stage of the power grid, combined with the requirements of business work results, carried out data demand analysis, given the principles of data indicators, divided the data pool data table categories, designed the data table data indicators, and built the power supply company to support the development of business needs Distribution network data platform. In order to improve the information level of distribution network development business, standardize the data management work of development business, and improve the business management level, it provides relevant ideas. © 2020 ieee.

关键词： Information management

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