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检索条件"任意字段=8th IFIP International Conference on Network and Parallel Computing"

共 1177 条记录，以下是431-440 订阅

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18th ifip WG 6.1 international conference on Coordination Models and Languages, COORDINATION 2016 and Held as Part of the 11th international Federated conference on Distributed computing Techniques, DisCoTec 2016

18th IFIP WG 6.1 International Conference on Coordination Mo...

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18th ifip WG 6.1 international conference on Coordination Models and Languages, COORDINATION 2016 and Held as Part of the 11th international Federated conference on Distributed computing Techniques, DisCoTec 2016

ISBN: (纸本)9783319395180

the proceedings contain 16 papers. the special focus in this conference is on Coordination Models and Languages. the topics include: Multilevel transitive and intransitive non-interference, causally;a game interpretation of retractable contracts;tuple spaces implementations and their efficiency;on-the-fly mean-field model-checking for attribute-based coordination;scheduling games for concurrent systems;an asynchronous parallel abstraction for speculative pipeline computations;modelling ambulance deployment with CARMA;on synchronous and asynchronous compatibility of communicating components;a formal analysis of the global sequence protocol;improving gossip dynamics through overlapping replicates;from modelling to systematic deployment of distributed active objects;an interference-free programming model for network objects and on sessions and infinite data.

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Proceedings of 2016 8th international conference on Information Technology and Electrical Engineering: Empowering Technology for Better Future, ICITEE 2016

Proceedings of 2016 8th International Conference on Informat...

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8th international conference on Information Technology and Electrical Engineering, ICITEE 2016

ISBN: (纸本)9781509041398

the proceedings contain 91 papers. the topics discussed include: limitless possibilities of pervasive computing on biomedical engineering;e-health system developments for developing countries: integrated activities in research - education and community services;improved one-cycle controlled buck converter using type-III compensator;mathematical and physical modelling with dynamic change in the center of gravity of quadrotor;trajectory and altitude controls for autonomous hover of a quadrotor based on fuzzy algorithm;rotary sensor system for imaging improvement in electrical capacitance volume tomography;optimal bottomhole pressure control on oil well production using PID-linear hybrid control on electric submersible pump;on-board real-time state-of-charge estimators of hybrid electric vehicles Ni-MH battery;quadrotor proportional-derivative stabilization on SO(3) with disturbance compensation;performance evaluation of DTN protocols for vehicular network by variations in buffer size;performance analysis on gain prediction of dual-radio aggregation system in heterogeneous network;cluster-based PLE areas for mobile cooperative localization in indoor wireless sensor network;determination of banana sugar content using ultrasound velocity measurement;optimized a-star algorithm in hexagon-based environment using parallel bidirectional search;2FMA-netbank: a PR posed two factor and mutual authentication scheme for efficient and secure internet banking;design and implementation of virtual class box 5.0 for distance learning in rural areas;and design architecture enterprise service bus to support multi-tenant client and resource provider.

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Specification-Based Synthesis of Distributed Self-Stabilizing Protocols 1

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36th ifip WG 6.1 international conference on Formal Techniques for Distributed Objects, Components and Systems(FORTE) held as part of the 11th international Federated conference on Distributed computing Techniques (DisCoTec)

作者： Faghih, Fathiyeh Bonakdarpour, Borzoo Tixeuil, Sebastien Kulkarni, Sandeep McMaster Univ Hamilton ON Canada UPMC Sorbonne Univ Paris France Michigan State Univ E Lansing MI USA

ISBN: (数字)9783319395708

ISBN: (纸本)9783319395708;9783319395692

In this paper, we introduce an SMT-based method that automatically synthesizes a distributed self-stabilizing protocol from a given high-level specification and the network topology. Unlike existing approaches, where synthesis algorithms require the explicit description of the set of legitimate states, our technique only needs the temporal behavior of the protocol. We also extend our approach to synthesize ideal-stabilizing protocols, where every state is legitimate. Our proposed methods are implemented and we report successful synthesis of Dijkstra's token ring and a self-stabilizing version of Raymond's mutual exclusion algorithm, as well as ideal-stabilizing leader election and local mutual exclusion.

关键词： network topology

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FCM: A Fine-Grained Crowdsourcing Model Based on Ontology in Crowd-Sensing 13th

FCM: A Fine-Grained Crowdsourcing Model Based on Ontology in...

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13th ifip WG 10.3 international conference on network and parallel computing (NPC)

作者： An, Jian Wu, Ruobiao Xiang, Lele Gui, Xiaolin Peng, Zhenlong Xi An Jiao Tong Univ Sch Elect & Informat Engn 28 Xianning West Rd Xian 710049 Peoples R China Shaanxi Prov Key Lab Comp Network 28 Xianning West Rd Xian 710049 Peoples R China Quanzhou Normal Univ Sch Business & Informat Technol Donghai 362000 Quanzhou Peoples R China

ISBN: (纸本)9783319470993;9783319470986

Crowd sensing between users with smart mobile devices is a new trend of development in Internet. In order to recommend the suitable service providers for crowd sensing requests, this paper presents a Fine-grained Crowd-sourcing Model (FCM) based on Ontology theory that helps users to select appropriate service providers. First, the characteristic properties which extracted from the service request will be compared with the service provider based on ontology triple. Second, recommendation index of each service provider is calculated through similarity analysis and cluster analysis. Finally, the service decision tree is proposed to predict and recommend appropriate candidate users to participate in crowd sensing service. Experimental results show that this method provides more accurate recommendation than present recommendation systems and consumes less time to find the service provider through clustering algorithm.

关键词： Crowdsourcing

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Study on Evaluation of Voltage Sag Exposed Areas in Large Scale Complex Distribution network 8

Study on Evaluation of Voltage Sag Exposed Areas in Large Sc...

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8th international conference on Cyber-Enabled Distributed computing and Knowledge Discovery (CyberC)

作者： Jia, Dongli Liu, Keyan Meng, Xiaoli Diao, Yinglong Hu, Lijuan He, Kaiyuan CEPRI Beijing Peoples R China

ISBN: (纸本)9781509051540

With the development of modern network technology, user demand for power quality is increasing day by day. the paper studies on evaluation of voltage sag exposed areas (VSEA) based on main feeder zone method in large scale complex distribution network (DN), which provides analysis basis for feasibility analysis of suffering from voltage sag effects on sensitive load. According to the structure of DN, the theory of the main feeder zone is to partition the network into independent sub networks and coordinate with the others by the contact line. the zoning principle for each partition is that the size should be equal and the number of contact lines can't be too much. When calculating and analyzing the DN, each partition does it independently and parallelly. After that, relevant parameters of the coordination are sent to a coordination server. then, it calculates relevant parameters of the coordination and sends them to each partition. Short-circuit calculation is the key step in the analysis of VSEA. On the basis of partitioning, short-circuit calculation for VSEA in DN is divided into two parts. One is that when fault point is located in medium voltage power network and another is that when the fault point is located in a single feeder. Experiments have been made on an IEEE 33 test case and a 500 feeders system and the effectiveness of the algorithm is verified.

关键词： parallel computing main feeder zone voltage sag exposed areas distribution network

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Optimization of Combining of Self Organizing Maps and Growing Neural Gas 15th

Optimization of Combining of Self Organizing Maps and Growin...

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15th ifip TC 8 international conference on Computer Information Systems and Industrial Management (CISIM)

作者： Vojacek, Lukas Drazdilova, Pavla Dvorsky, Jiri VSB Tech Univ Ostrava IT4Innovat 17 Listopadu 15-2172 Ostrava 70833 Czech Republic VSB Tech Univ Ostrava Dept Comp Sci 17 Listopadu 15-2172 Ostrava 70833 Czech Republic

ISBN: (纸本)9783319453774;9783319453781

the paper deals with the issue of high dimensional data clustering. One possible way to cluster this kind of data is based on Artificial Neural networks (ANN) such as Growing Neural Gas (GNG) or Self Organizing Maps (SOM). parallel modification, Growing Neural Gas with pre-processing by Self Organizing Maps, and its implementation on the HPC cluster is presented in the paper. Some experimental results are also presented. We focus on effective preprocessing for GNG. the clustering is realized on the output layer of SOM and the data for GNG are distributed into parallel processes.

关键词： Self organizing maps Growing neural gas High-dimensional dataset High performance computing

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Accumulative Energy-based Seam Carving for Image Resizing 17

Accumulative Energy-based Seam Carving for Image Resizing

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17th international conference on parallel and Distributed computing, Applications and Technologies (PDCAT)

作者： Lin, Yuqing Niu, Yuzhen Lin, Jiawen Zhang, Haifeng Fuzhou Univ Coll Math & Comp Sci Fuzhou Fujian Peoples R China Fujian Prov Key Lab Network Comp & Intelligent In Fujian Peoples R China

ISBN: (纸本)9781509050819

With the diversified development of the digital devices, such as computer, mobile phone, pad and television, how to resize an image or video to adapt to different display screens has been attracting more and more peoples' attention. Seam carving has been an important method for image resizing. If multiple removed or inserted seams are located within a certain region, it can lead to discontinuity image content. Besides, the salient objects tend to be destroyed if the energy function only contains the gradient information. therefore, we propose an accumulative energy based seam carving method for image resizing. When removing a certain seam, we distribute the energy of each pixel on the seam to its adjacent 8-connected pixels in order to avoid the extreme concentration of seams, especially within a texture region. In addition, we add the image saliency and the edge information into the energy function to reduce the distortion. Since the computational complexity of seam carving method is very high, we use parallel computing environment to achieve efficient computation. Experimental results show that compared with the existing methods, our method can both avoid the discontinuity of image content and distortions as well as better maintain the shape of the salient objects.

关键词： Image resizing Seam carving Optimal seam Accumulative energy Saliency detection Edge detection

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Scalable Processing in 5G Cloud-RAN networks Using MapReduce Framework

Scalable Processing in 5G Cloud-RAN Networks Using MapReduce...

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New Technologies, Mobility and Security (NTMS)

作者： Ali M. Mahmood Adil Al-Yasiri School of Computing Science and Engineering University of Salford Greater Manchester UK

ISBN: (纸本)9781509029150

Cloud Radio Access network (C-RAN) was introduced as a revolutionary architecture to meet the exponential expansion in data traffic for the current and future mobile networks. However, the centralized configuration of C-RAN brings many challenges. One of the key questions to address is how the channel state information (CSI) is acquired accurately in C-RAN for numerous access points and users. For the purpose of reducing the time of acquiring CSI in C-RAN, the MapReduce framework is proposed in this paper as a novel approach to minimize the overhead of acquiring CSI in the full centralized C-RAN architecture. the main contribution of this paper is employing parallel processing to improve the scalability of mobile networks using C-RAN. the results, which have been obtained through simulation, illustrate that it can maintain the scalability as well as save a significant amount of acquisition time without affecting the performance of network.

关键词： Antennas Computer architecture Mobile computing Cloud computing Estimation 5G mobile communication

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Security Analysis of Mobile Edge computing in Virtualized Small Cell networks 12th

Security Analysis of Mobile Edge Computing in Virtualized Sm...

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12th ifip WG 12.5 international conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Vassilakis, Vassilios Chochliouros, Ioannis P. Spiliopoulou, Anastasia S. Sfakianakis, Evangelos Belesioti, Maria Bompetsis, Nikolaos Wilson, Mick Turyagyenda, Charles Dardamanis, Athanassios Univ West London Sch Comp & Engn London W5 5RF England Hellen Telecommun Org OTE SA 99 Kifissias Ave Athens 15124 Greece Fujitsu Labs Europe Ltd Hayes Pk CentHayes End Rd Hayes UB4 8FE Middx England SmartNET SA 2 Lakonias St Agios Dimitrios 17342 Attica Greece

ISBN: (纸本)9783319449449;9783319449432

Based upon the context of Mobile Edge computing (MEC) actual research and within the innovative scope of the SESAME EU-funded research project, we propose and assess a framework for security analysis applied in virtualised Small Cell networks, with the aim of further extending MEC in the broader 5G environment. More specifically, by applying the fundamental concepts of the SESAME original architecture that aims at providing enhanced multi-tenant MEC services through Small Cells coordination and virtualization, we focus on a realistic 5G-oriented scenario enabling the provision of large multi-tenant enterprise services by using MEC. then we evaluate several security issues by using a formal methodology, known as the Secure Tropos.

关键词： 5G Mobile Edge computing (MEC) network Functions Virtualization (NFV) Security Software Defined networking (SDN) Small Cell (SC) Virtual network Function (VNF)

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Adaptive Extended Computed Torque Control of 3 DOF Planar parallel Manipulators Using Neural network and Error Compensator

Adaptive Extended Computed Torque Control of 3 DOF Planar Pa...

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12th international conference on Intelligent computing (ICIC)

作者： Quang Dan Le Kang, Hee-Jun Tien Dung Le Univ Ulsan Grad Sch Elect Engn Ulsan South Korea Univ Ulsan Sch Elect Engn Ulsan South Korea Univ Danang Univ Sci & Technol Danang Vietnam

ISBN: (纸本)9783319422978;9783319422961

In this paper, an adaptive extended computed torque controller is proposed for trajectory tracking of 3 degree-of-freedom planar parallel manipulators. the dynamic model, including the modeling errors and uncertainties, is established in the joint space of 3 degree-of-freedom planar parallel manipulators. Based on the dynamic model, an adaptive extended computed torque control scheme is proposed in which a feed-forward neural network is combined with error compensators for adaptive compensating the unknown modeling errors and uncertainties of the parallel manipulators. the weights of the neural network are based on sliding functions and self-tuned online during the tracking control of system without any offline training phase. Using the combination of Sim Mechanics and Solid works, the comparative simulations are conducted for verifying the efficiency of the proposed control scheme.

关键词： parallel manipulator Online self-tuning Adaptive control Extended computed torque control Neural network

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