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A Collaborative Kernel Clustering Algorithm for Non-Linear Data in Peer-to-Peer Networks

A Collaborative Kernel Clustering Algorithm for Non-Linear D...

引用

international conference on Informative and Cybernetics for Computational Social Systems (ICCSS)

作者： Ting Wang Rongrong Wang Jin Zhou Hui Jiang Shiyuan Han Lin Wang Yuehui Chen Shandong Provincial Key Laboratory of Network based Intelligent Computing University of Jinan Jinan China Development and Test Center Chinabond Fintech Information Technology Co. Ltd. Beijing China

ISBN: (数字)9781728162461

ISBN: (纸本)9781665419352

Clustering is a process of dividing data according to their similarity. the existing collaborative clustering methods do not consider the idea of kernel, which are more suitable to deal with segmentation of linear data. In this paper, a distributed k-means algorithm based on the kernel method for nonlinear data is proposed. In addition, considering of the role of attribute weight, the weights are defined for attributes in the presented clustering approach. Experiments on “aspherical” synthetic datasets and real-world datasets show that our method achieves better results, simultaneously, attribute weighting reveals important feature subsets.

关键词： Clustering methods Collaboration Clustering algorithms distributed databases Feature extraction Peer-to-peer computing Kernel

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the Real-time Scheduling Strategy Based on Traffic and Load Balancing in Storm

The Real-time Scheduling Strategy Based on Traffic and Load ...

引用

IEEE international conference on High Performance computing and Communications

作者： Jing Zhang Chunlin Li Liye Zhu Yanpei Liu Department of Computer Science Wuhan University of Technology Wuhan 430063 P.R.China

ISBN: (纸本)9781509042982

the era of big data has led to the emergence of new systems for real-time distributed stream processing. Apache Storm is one of the most popular stream processing systems today. However, Storm, as many other stream processing systems, lacks an intelligent scheduling mechanism. the default round-robin scheduling which disregards inter-node traffic and worker nodes load balancing may be inefficient sometimes. this paper proposed a real-time scheduling algorithm based on inter-node traffic and worker nodes load balancing within Storm. Algorithm is divided into two steps: In the first step according to the topology structure and inter-node traffic, executors are assigned to slots to ensure the minimum interaction traffic. the second step, we consider the worker nodes load, to choose the lowest load node for slots assignment. Experiments demonstrate that this scheduling algorithm compared to the default scheduling algorithm, performance of average latency and average inter-node traffic in the system improved above 50%, and compared the traffic-based scheduling algorithm, improved about 10%.

关键词： Load balancing Stream processing Storm Topology Executor scheduling

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Privacy-Preserving Reputation Management for Blockchain-Based Mobile Crowdsensing*

Privacy-Preserving Reputation Management for Blockchain-Base...

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IEEE Communications Society conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Wenjing Zhang Yuchuan Luo Shaojing Fu Tao Xie College of Computer National University of Defense Technology Changsha China Sate Key Laboratory of Cryptology Beijing China

ISBN: (数字)9781728166308

ISBN: (纸本)9781728166315

Mobile crowdsensing (MCS) is an emerging data acquisition technique that combines crowdsourcing with mobile devices to collect massive data in a cost-satisfactory manner. Two notable challenges of MCS are leakage of privacy and the challenge of malicious users, privacy-preserving reputation management scheme is an efficient method to tackle these challenges. However, most existing schemes rely on a semi-honest server and process data in plaintext domain without considering single point of failure and privacy of participants. In this paper we propose a reputation management scheme with blockchain to identify malicious users and protect users' privacy simultaneously in MCS scenario. the secure and open nature of blockchain are exploited to build a dependable and efficient reputation management platform. Moreover, we adopt a distributed computing algorithm, Eigentrust, to construct a distributed reputation management framework, nevertheless, it neglects to preserve users' privacy. So we leverage a verifiable secret sharing scheme into Eigentrust algorithm, which can prevent users' personal information from being disclosed. the extensive analysis and experiments performed on EOS blockchain demonstrate that our system can effectively identify malicious users while preserving privacy.

关键词： Sensors Servers Privacy Task analysis Encryption

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Multi-thread Concurrent Compression Algorithm for Genomic Big Data

Multi-Thread Concurrent Compression Algorithm for Genomic Bi...

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IEEE international conference on Parallel and distributed computing, Applications and Technologies (PDCAT)

作者： Yimu Ji Shuai Chen Haichang Yao Houzhi Fang Kui Li Shangdong Liu Zhengyuan Xie Kairui Wang School of Computer Science Nanjing University of Posts and Telecommunications Institute of High Performance Computing and Big Data Nanjing University of Posts and Telecommunications Nanjing Center of HPC China Jiangsu HPC and Intelligent Processing Engineer Research Center Nanjing China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China School of Computer Science Nanjing University of Posts and Telecommunications School of Computer and Software Nanjing Institute of Industry Technology Nanjing China University of Toronto Toronto Canada BSc Mathematics with Finance University of Liverpool Liverpool United Kingdom

ISBN: (数字)9781728126166

ISBN: (纸本)9781728126173

At present, there are many excellent genome compression algorithms with high genome compression ratio. However, there is a lack of highly efficient compression algorithms for simultaneous compression of a large number of genomes. this manuscript presents an algorithm, which is called FastLNGC, for simultaneous compression of a large amount of genome data based on multi-thread concurrency. this algorithm is based on the LNGC (Large Number of Genomes Compressor) algorithm, and adopts multi-thread technology to achieve concurrent processing of genome data compression. A large number of experiments show that FastLNGC has better performance on compression of a large number of genes. the source code of FastLNGC is available at https://***/APandathief/FastLNGC.

关键词： Bioinformatics Genomics Compression algorithms Instruction sets Telecommunications Computer science Concurrent computing

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RECOGNITION OF BLACKLISTED VEHICLE BASED ON SIFT FEATURE

RECOGNITION OF BLACKLISTED VEHICLE BASED ON SIFT FEATURE

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

作者： Boyuan Ma Xiaojuan Ban Yu Wang Xu Liu School of Computer & Communication Engineering University of Science and Technology Beijing North Electronic Instrument Institute

ISBN: (纸本)9781509012572

With the rapid development of technology, the intelligent traffic system is an important tool for traffic police in combating crime involving vehicles. In recent years, the recognition of blacklisted vehicle models is becoming more and more essential for crime tracking. However, it can be proved that the classical method of recognition, SIFT, has low accuracy when there are plenty of feature points with noise. In addition, current work in this field only focus on a few fuzzy classifications with not much practical value and testing in only one assessment method that doesn't have comprehensive representativeness. this paper proposes a novel method by using template library based on SIFT feature in order to solve these problems. the method pick up some commonly used vehicle models and test performance of algorithm based on Confusion matrix. Confirmed by the experiments, the proposed method has higher accuracy and only has a tiny delay.

关键词： vehicle model recognition scale invariant feature transform(SIFT) template library

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A Class of Fast and Accurate Multi-layer Block Summation and Dot Product Algorithms 18th

A Class of Fast and Accurate Multi-layer Block Summation a...

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18th IFIP WG 10.3 international conference on Network and Parallel computing, NPC 2021

作者： He, Kang Barrio, Roberto Chen, Lin Jiang, Hao Liu, Jie Gu, Tongxiang Qi, Jin Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China Department of Applied Mathematics University of Zaragoza ZaragozaE50009 Spain College of Computer National University of Defense Technology Changsha410073 China Institute of Applied Physics and Computational Mathematics Beijing100000 China

ISBN: (纸本)9783030935702

Basic recursive summation and common dot product algorithm have a backward error bound that grows linearly with the vector dimension. Blanchard [1] proposed a class of fast and accurate summation and dot product algorithms respectively called FABsum and FABdot, which trades off the calculation accuracy and speed by the block size. Castaldo [2] proposed a multi-layer block summation and dot product algorithm called SuperBlocksum and SuperBlockdot that can increase the accuracy while adding almost no additional calculations. We combine the idea of [1] with the multi-layer block structure to propose SuperFABsum (for "super fast and accurate block summation") and SuperFABdot (for "super fast and accurate block dot product"). Our algorithms have two variants, one is SuperFAB(within), the other is SuperFAB(outside). Our algorithms further improve accuracy and speed compared with FAB and SuperBlock. We conducted accuracy and speed tests on the high-performance FT2000+ processor. Experimental results show that SuperFABdot(within) algorithm is more accurate than FABdot and SuperBlockdot. Compared with FABdot, SuperFABdot(outside) algorithm can achieve up to 1.2 × performance speedup while ensuring similar accuracy. © 2022, IFIP international Federation for Information Processing.

关键词： Artificial intelligence

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Function block implementation of service oriented architecture: Case study

Function block implementation of service oriented architectu...

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IEEE international conference on Industrial Informatics (INDIN)

作者： Wenbin William Dai James H. Christensen Valeriy Vyatkin Victor Dubinin Luleå University of Technology Sweden Holobloc Inc Luleå University of Technology Sweden and Aalto University Finland Penza State University Russia

the Service Oriented Architecture (SOA), initially developed for general purpose computing, is becoming increasingly popular in industrial automation, especially due to the growing importance of distributed measurement and control systems, Internet of things and wireless sensor network infrastructures. there are two serious gaps in the current implementations of SOA for automation: the lack of a proper standard form for representing the logical relation between services at the system level, and, in particular, lack for a proper visual representation format enabling intuitive understanding and reconfiguration of services during the system lifecycle. In this paper, it is shown how these gaps can be filled using the IEC 61499 function block architecture in the most intuitive and natural way. the ideas are illustrated on example of systems, composed form intelligent mechatronic devices. Such features, as software reuse, flexibility, reconfigurability and scalability are demonstrated. the paper shows complementarity of the SOA and IEC 61499.

关键词： Service-oriented architecture Automation Sensors IEC standards Mechatronics Computer architecture Actuators

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Energy Efficient Topology Control Algorithms for Variant Rate Mobile Sensor Networks

Energy Efficient Topology Control Algorithms for Variant Rat...

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international conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Jianbo Li Liusheng Huang Mingjun Xiao Department of Computer Science and Technology University of Science and Technology Hefei China Information Engineering College Qingdao University Shandong China

Although topology control has been extensively studied for stationary sensor networks, few theoretical results on topology control for mobile sensor networks (MSN) have been reported yet. In this paper, we propose two O(n 3 ) time topology control algorithms, centralized and distributed versions respectively, under a variant rate mobile network model (VRMN). In VRMN each sensor node may move at a variant speed and associated with each node is its starting and ending positions in the unit time interval. Our algorithms are proactive such that it can guarantee the topology of a given instance of MSN can continuously connected in the unit time interval, regardless of how much the moving speeds of the sensor nodes are. Extensive simulations have been conducted and the simulation results reveal that the resultant topology after applying our distributed topology control algorithm shows good performances in terms of average transmission radius and connectivity.

关键词： Energy efficiency Network topology Protocols Wireless sensor networks Mobile computing Energy consumption intelligent sensors Mobile ad hoc networks Partitioning algorithms Computer science

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Collaborative Detection and Agreement Protocol for Routing Malfunctioning in Wireless Sensor Networks

Collaborative Detection and Agreement Protocol for Routing M...

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international conference on Advanced Communication technology (ICACT)

作者： A.K. Bashir A.H. Akbar S.A. Chaudhary C.S. Hussain Ki-Hyung Kim Graduate School of Information Technology Ajou University Suwon South Korea

Routing is one of the most important activities performed in a sensor network. Routing nodes can behave either maliciously or may malfunction due to failed system components, affecting the overall network throughput adversely. In this paper, a distributed cooperative routing failure detection mechanism is introduced. the neighbors of a suspected node collaborate with each other to generate consensus about the misbehaving node. A logical tree is formed among the peer nodes to avoid messaging overhead and to allow the final consensus to be notified to every neighbor of the suspect. A simple algorithm for consensus is then presented; every neighbor considers a decision factor for every other neighbor in order to generate a unified agreement about the node under suspicion. We analyze and show that our approach performs better for energy conservation and node lifetime better than previously reported flooding schemes

关键词： Collaboration Routing protocols Wireless application protocol intelligent networks Wireless sensor networks Peer to peer computing Fault detection Sensor systems throughput Relays

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Analytical computation of spatial traffic distribution in a typical region of a cellular network by proposing a general mobility model

Analytical computation of spatial traffic distribution in a ...

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international conference on Telecommunications (ICT)

作者： F. Ashtiani J.A. Salehi M.R. Aref Department of Electrical Engineering Sharif University of Technology Tehran Iran

We propose a general mobility model based on region splitting and mapping each subregion on a multi-server node. By using the theory of multi-class Jackson queueing network with multiserver nodes and employing the product-form solution for such queueing networks, we obtain an analytical form for the spatial traffic distribution in a typical region with specific number of users. To this end, we consider the spatial statistical pattern for new and handoff call arrivals and the ratio between these two types of arrivals. At last, we apply our new model to some simple mobility scenarios and compute the resultant active user's location densities.

关键词： Computer networks distributed computing Telecommunication traffic Traffic control intelligent networks Land mobile radio cellular systems Interference Multiaccess communication Queueing analysis Cellular networks

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