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检索条件"任意字段=10th International Conference on Parallel and Distributed Computing, Applications and Technologies"

共 1765 条记录，以下是1531-1540 订阅

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Development of Semantic Model of Multi-Level-Building Navigation Using Indoor Ontology and Dijkstra's Algorithm

Development of Semantic Model of Multi-Level-Building Naviga...

引用

IEEE international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Ye Yuan Xiaoying Kong Gengfa Fang Li Liu Sanya Khruahong Faculty of Engineering and Information Technology University of Technology Sydney Sydney Australia Faculty of Engineering and Information Technologies The University of Sydney Sydney Australia Faculty of Science Naresuan University Phitsanulok Thailand

ISBN: (数字)9781728126166

ISBN: (纸本)9781728126173

Location based services (LBS) can be separated into a number of layers: technology layer, application layer, standard layer, and social-ethical layer. this paper presents an ontology development at standard layer. We developed an ontology to identify and classify indoor semantic information to guide the development of LBS applications for multi-level building navigation. this ontology proposed models of multilevel building properties as classes of building, level, zone, link, node, and coordinate. To apply this ontology, we develop an indoor navigation algorithm using the ontology classes and Dijkstra's algorithm for shortest path in user navigation. A prototype and experiments are implemented to validate this ontology.

关键词： Ontologies Indoor navigation distributed computing Handheld computers Location awareness Smart cities

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Trusted Identity Authentication Mechanism for Power Maintenance Personnel Based on Blockchain 10th

Trusted Identity Authentication Mechanism for Power Maintena...

引用

10th international conference on Computer Engineering and Networks, CENet 2020

作者： Zhang, Zhengwen Shao, Sujie Zhong, Cheng Sun, Shujuan Lin, Peng State Grid Xiongan New Area Power Supply Company Heibei071000 China Beijing University of Posts and Telecommunications Beijing100876 China Beijing Vectinfo Technologies Co. Ltd. Beijing100000 China

ISBN: (纸本)9789811584619

In order to solve the problem of impersonation of the electronic identity of power maintenance personnel, this paper proposes an trusted identity authentication model based on Blockchain. this model uses plug-in authentication technology to improve the scalability of the identity authentication system. In order to improve the usability of the authentication model, smart devices are named uniformly, and information such as names and corresponding parameters are registered on the distributed data trusted chain through smart contracts. In order to improve the practicability of the model, based on the model architecture, the registration process, login authentication process, and trusted identity card system architecture were designed. In terms of the architecture of the trusted identity system, it includes a Blockchain server, an authentication server, and a mobile terminal. through the performance analysis, the authentication mechanism proposed in this paper is verified, which effectively solves the problems of poor reliability and centralized storage that easily lead to information leakage in traditional identity authentication. © 2021, the Editor(s) (if applicable) and the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Blockchain

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On-Board-Unit Data: A Big Data Platform for Scalable storage and Processing

On-Board-Unit Data: A Big Data Platform for Scalable storage...

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international conference on Cloud technologies and applications (CloudTech)

作者： Giovanni Buroni Yann-Ael Le Borgne Gianluca Bontempi Karl Determe Computer Science Dept. Université Libre de Bruxelles Belgium Bruxelles Mobilite’ - Brussel Mobiliteit Bruxelles Belgium

ISBN: (纸本)9781728116389;9781728116372

this paper proposes and assesses a Big Data Platform for effective storage and analysis of On Board Unit (OBU) data related to the mobility of trucks in Belgium. the large volume and the streaming nature of the OBU data requires the setup of a big data platform for an efficient collection, storage and analysis. the solution relies on (i) the Hadoop distributed File System (HDFS) to store data, (ii) the Apache Parquet format for data compression and columnar storage, and (iii) Spark for parallel and streaming processing of data. Data replication, compression and columnar storage ensure robustness to node failure, data distribution, and faster access to data.

关键词： Big Data Sparks distributed databases Robustness Roads Engines Real-time systems

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17th IFIP/IEEE international Workshop on distributed Systems: Operations and Management, DSOM 2006

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10th IFIP TC-6 TC-11 international conference on Communications and Multimedia Security, CMS 2006

ISBN: (纸本)3540478205

the proceedings contain 24 papers. the special focus in this conference is on Advances in network and information security. the topics include: computing of Trust in Ad-Hoc Networks;TAO: Protecting Against Hitlist Worms Using Transparent Address Obfuscation;On the Privacy Risks of Publishing Anonymized IP Network Traces;Secure Mobile Notifications of Civilians in Case of a Disaster;A Fair Anonymous Submission and Review System;Attribute Delegation Based on Ontologies and Context Information;Adding Support to XACML for Dynamic Delegation of Authority in Multiple Domains;One-Round Protocol for Two-Party Verifier-Based Password-Authenticated Key Exchange;Enhanced CAPTCHAs: Using Animation to Tell Humans and Computers Apart;Perturbing and Protecting a Traceable Block Cipher;A New Encryption and Hashing Scheme for the Security Architecture for Microprocessors;Timed Release Cryptography from Bilinear Pairings Using Hash Chains;Compression of Encrypted Visual Data;Selective Encryption for Hierarchical MPEG;Equivalence Analysis Among DIH, SPA, and RS Steganalysis Methods;A Flexible and Open DRM Framework;A Flexible and Open DRM Framework;PPINA - A Forensic Investigation Protocol for Privacy Enhancing technologies;A Privacy Agent in Context-Aware Ubiquitous computing Environments;Ensuring Privacy in Smartcard-Based Payment Systems: A Case Study of Public Metro Transit Systems;Attack Graph Based Evaluation of Network Security;Information Modeling for Automated Risk Analysis and Towards Practical Attacker Classification for Risk Analysis in Anonymous Communication.

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Coordinated and Hindsight Resources Allocation in distributed computing

Coordinated and Hindsight Resources Allocation in Distribute...

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IEEE international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Victor Toporkov Dmitry Yemelyanov Computer Science Department National Research University "MPEI" Moscow Russia

ISBN: (数字)9781728126166

ISBN: (纸本)9781728126173

In this work, we consider heuristic algorithms for parallel jobs execution and efficient resources allocation in heterogeneous computing environments. Existing modern job-flow execution features and realities impose many restrictions for the resources allocation procedures. Emerging virtual organizations and incorporated economic scheduling models allow users and resource owners to compete for suitable allocations based on market principles and fair scheduling policies. Subject to these features a special dynamic programming scheme is proposed to select resources depending on how they fit a particular job execution duration. Hindsight approach makes it possible to select between several different scenarios obtained with the same base scheduling procedure. Based on a conservative backfilling scheduling procedure we study how different resources allocation heuristics affect integral job-flow scheduling characteristics in a dedicated simulation environment.

关键词： Resource management Processor scheduling Scheduling Microsoft Windows Computational modeling Biological system modeling Economics

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Optimized Stochastic Approaches Based on Sobol Quasirandom Sequences for Fredholm Integral Equations of the Second Kind 10th

Optimized Stochastic Approaches Based on Sobol Quasirandom ...

引用

10th international conference on Numerical Methods and applications, NMA 2022

作者： Todorov, Venelin Dimov, Ivan Georgieva, Rayna Ostromsky, Tzvetan Department of Information Modeling Institute of Mathematics and Informatics Bulgarian Academy of Sciences Acad. Georgi Bonchev Str. Block 8 Sofia1113 Bulgaria Department of Parallel Algorithms Institute of Information and Communication Technologies Bulgarian Academy of Sciences Acad. G. Bonchev Str. Block 25A Sofia1113 Bulgaria

ISBN: (纸本)9783031324116

In this paper three possible approaches to compute linear functionals of the solution of the Fredholm integral equation of the second kind are under consideration: a biased Monte Carlo method based on evaluation of truncated Liouville-Neumann series;transformation of this problem into the problem of computing a finite number of integrals, and an unbiased stochastic approach. In the second case several Monte Carlo algorithms for numerical integration have been applied including optimized stochastic approaches developed in our previous studies. the unbiased stochastic approach has been applied to a multidimensional numerical example. A comprehensive analysis about the reliability and the efficiency of the algorithms has been done. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Monte Carlo methods

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Advanced architectures distributed systems for the implementation of neural networks

Advanced architectures distributed systems for the implement...

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international conference on Emerging eLearning technologies and applications (ICETA)

作者： M. Čopjak M. Tomášek J. Hurtuk Dept. of Computers and Informatics FEI TU of Košice Slovak Republic Dept. of Computers and Informatics FEI TU of Koš¡ice Slovak Republic

Many industries nowadays use management and decision making based on artificial neural networks. However, the major drawback of neural networks lies in their time and computational complexity. the problem with computational complexity could be eliminated using sharing of the computing needs on multiple computing nodes. this article focuses on the architectural design of a distributed system, which aims to solve large neural networks. the article describes the technology GPGPU and the next part of the article deals with an overview of methods for speeding up the calculation and distribution of artificial neural network. the main section describes the design of a model architecture description of the algorithm that allows correct data distribution on computational nodes.

关键词： Graphics processing units Computer architecture parallel processing Neurons Hardware Biological neural networks

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X10-PM: Transparent and Efficient Place Migration for APGAS Language

X10-PM: Transparent and Efficient Place Migration for APGAS ...

引用

IEEE international conference on High Performance computing and Communications (HPCC)

作者： Zhijun Hao Binyu Zang Chenning Xie Haibo Chen School of Computer Science Fudan University Shanghai China Institute of Parallel and Distributed System Shanghai Jiao Tong University Shanghai China

this paper presents X10-PM, a framework that provides APGAS-based programs with place migration support for flexible and efficient resource management, such as server consolidation and coarse-grained load balancing. X10-PM makes the first attempt to add migration support at the granularity of a place to the X10 programs, which is transparent to the application developers with the help of the X10-PM compiler and runtime. the evaluation results show that the migration overhead is modest. this is mainly because X10-PM chooses global consistent points to ensure consistency of migration, by leveraging the key features of the APGAS model and the X10 language.

关键词： Runtime Monitoring Benchmark testing Resource management Synchronization Sockets Educational institutions

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Blockchain based distributed Consensus for Byzantine Fault Tolerance in PMU Network

Blockchain based Distributed Consensus for Byzantine Fault T...

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international conference on computing and Networking Technology (ICCNT)

作者： Sreerag Iyer Snehal thakur Mihirraj Dixit Ashish Agrawal Rajneesh Katkam Faruk Kazi Centre of Excellence (CoE) in Complex and Non-linear Dynamical Systems (CNDS) Veermata Jijabai Technological Institute Mumbai India

Smart grids are in their developing stages, but they are going to impact the world soon. the more they influence us, the more they have a threat of being misused. Industrial Internet of things(IIoT) is being extensively used in various smart grid based applications. IIoT has been an area for cyber-attacks to drastically affect various industries and businesses. Existing technologies are just not enough to deal with cyber-physical systems. Blockchain can help in creating more efficient, secure and reliable IIoT systems. Such systems, which involve rapid, distributed and complex energy transactions and data exchanges often face integrity and trust related issues. Blockchain can provide a solution to such problems. third-party interactions have been removed using blockchain based smart contracts, thereby facilitating the adoption of decentralization and establishing a global truth across all the nodes in the network. Efficiency can further be increased by logging only the most important events like faults in the system or injection of malicious data. this paper proposes an innovative collective decision algorithm using blockchain to build a resilient network of Phasor Measurement Units(PMUs) for Wide Area Measurement System(WAMS). the algorithm not only identifies “malicious” nodes in the system but also takes the correct decision, even in their presence, to perform further action. the proposed solution is validated on a hardware-in-loop platform with the hardware PMUs connected on an IEEE 9 bus system.

关键词： Phasor measurement units Blockchain Peer-to-peer computing Smart grids Data communication Smart contracts

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Accelerating Alignment for Short Reads Allowing Insertion of Gaps on Multi-Core Cluster

Accelerating Alignment for Short Reads Allowing Insertion of...

引用

IEEE international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Yongjie Yang Cheng Zhong Danyang Chen School of Computer Electronics and Information Guangxi University Nanning China Dept. of Information Technology Shanghai Rural Commercial Bank Shanghai China

ISBN: (数字)9781728126166

ISBN: (纸本)9781728126173

the sequence alignment is an important basic work in analyzing large biological data. For the massive short reads alignment problem, based on the dynamic programming approach, divide and conquer principle, and FUSE kernel module, a parallel short-read alignment method allowing the optimal number of inserting gaps depending on species and sequence length is developed on multi-core cluster. the experimental results on real and synthetic data show that the proposed parallel alignment method can achieve good speedup with the same alignment accuracy as the sequential alignment method. Compared with the existing parallel alignment method, the proposed method can remarkably reduce the time of partitioning reference genome and reads files and accelerate the large-scale short-read alignment.

关键词： Genomics Bioinformatics Fuses parallel algorithms Clustering algorithms Acceleration

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