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检索条件"任意字段=3rd IEEE International Conference on Distributed Computing in Sensor Systems"

共 5113 条记录，以下是1441-1450 订阅

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A Method of Sleeping State Recognition Based on Pressure-Body Movement-Sleeping Model 3

A Method of Sleeping State Recognition Based on Pressure-Bod...

引用

3rd ieee international conference on Cloud computing and Big Data Analysis (ICCCBDA)

作者： Yan, Quya Xu, Chao Anhui Univ Sch Elect & Informat Engn Hefei Anhui Peoples R China Anhui Univ Anhui Engn Lab Agroecol Big Data Hefei Anhui Peoples R China Anhui Univ Minist Educ Key Lab Intelligent Comp & Signal Proc Hefei Anhui Peoples R China

ISBN: (纸本)9781538643013

Sleeping is essential to human health. Recognizing sleeping state accurately is an important prerequisite for analyzing sleeping quality effectively. As different states of sleeping staggered with each other, it is necessary to make the boundaries of the states clearly. The traditional methods of sleeping state recognition are less accurate and more difficult to handle. This paper uses the method based on pressure-body movement-sleeping model to identify different sleeping states. Firstly, the acquired signal of pressure is processed to get the information of body movements, and then the information is used to recognize the different sleeping states of the whole night through the sleeping judgment algorithm. Experiments show that the method used in this paper is not only simple, but also highly accurate and not susceptible to outside interference.

关键词： sleeping state recognition sensor pressure-body movement-sleeping model image processing

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Performance Analysis of User Influence Algorithm under Big Data Processing Framework in Social Networks 3

Performance Analysis of User Influence Algorithm under Big D...

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3rd ieee international conference on Cloud computing and Big Data Analysis (ICCCBDA)

作者： Quan, Yong Zhang, Liang Jia, Yan Zhou, Bin Natl Univ Def Technol Coll Comp Changsha Hunan Peoples R China

ISBN: (纸本)9781538643013

Social influence plays an essential role in spreading information within online social networks, and can be modeled or measured by analyzing various social networking data, such as published content, users' attributes or interactions among them. Because of the massive social data, researchers often fail to quantify user influence in an accurate and high efficient way. Big data technique can be adopted to alleviate this problem. In this paper, we introduce a kind of classical individual influence algorithm, and implement two parallel versions of this algorithm based on different big data processing framework Experiment results on a large-scale real dataset demonstrate that the computational efficiency of influence algorithm can be improved significantly in massive data sets by virtue of big data processing framework

关键词： influence measurement performance analysis big data technique distributed computing social networks

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Data Loss Prevention Scheme Using ADCN with Effective Tour Strategy in Wireless sensor Network 3rd

Data Loss Prevention Scheme Using ADCN with Effective Tour S...

引用

3rd international conference on Intelligent computing and Applications (ICICA)

作者： Todkari, Sachin, V Deshpande, Vivek S. Bagwan, A. B. Kalinga Univ Naya Raipur Chhattisgarh India VIT Pune Maharashtra India

ISBN: (纸本)9789811055201;9789811055195

Wireless sensor network is spatially distributed sensors with limited resources such as energy and buffer. Data loss prevention is challenging task in wireless sensor network (WSN), and hence, reliable data dissemination is desirable. In WSN, event detection ratio should be very high. In such condition, huge data are generated by event node. But there is always limitation of buffer size. As a result, it gets overflow. The data which are important may get lost. The proposed data loss prevention scheme will help to prevent the data loss. The effective tour strategy of mobile data collector node will improve QoS parameters of WSN.

关键词： Wireless sensor network Data collector node Adaptive data collector node Collect data packet Quality of service

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Identification of distributed Malware 3

Identification of Distributed Malware

引用

3rd ieee international conference on Communication and Information systems (ICCIS)

作者： Jain, Darshil Khemani, Shreya Prasad, Gaurav Manipal Univ Jaipur Dept Comp & Commun Engn Jaipur Rajasthan India

ISBN: (纸本)9781538692738

Smartphones have evolved over the years from simple devices to communicate with each other to fully functional portable computers although with comparatively less computational power but inholding multiple applications within. With the smartphone revolution, the value of personal data has increased. As technological complexities increase, so do the vulnerabilities in the system. Smartphones are the latest target for attacks. Android being an open source platform and also the most widely used smartphone OS draws the attention of many malware writers to exploit the vulnerabilities of it. Attackers try to take advantage of these vulnerabilities and fool the user and misuse their data. Malwares have come a long way from simple worms to sophisticated DDOS using Botnets, the latest trends in computer malware tend to go in the distributed direction, to evade the multiple anti-virus apps developed to counter generic viruses and Trojans. However, the recent trend in android system is to have a combination of applications which acts as malware. The applications are benign individually but when grouped, these may result into a malicious activity. This paper proposes a new category of distributed malware in android system, how it can be used to evade the current security, and how it can be detected with the help of graph matching algorithm.

关键词： Android malware malware prevention distributed malware malware detection

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A Coverage Algorithm in Circular Area Based on Polar Coordinates for WSNs 4

A Coverage Algorithm in Circular Area Based on Polar Coordin...

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4th ieee international conference on Big Data Security on Cloud (BigDataSecurity) / 4th ieee international conference on High Performance and Smart computing (HPSC) / 3rd ieee international conference on Intelligent Data and Security (IDS)

作者： Li, Hui Du, Xiaoyu Han, Zhijie Henan Univ MinSheng Coll Kaifeng Henan Peoples R China Henan Univ Sch Comp & Informat Engn Kaifeng Henan Peoples R China Int Joint Res Lab Cooperat Vehicular Networks Hen Kaifeng Henan Peoples R China Henan Univ Inst Data & Knowledge Engn Kaifeng Henan Peoples R China Jiangsu High Technol Res Key Lab Wireless Sensor Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781538643990

In this paper, we consider the problem of wireless sensors deployed in a circular area to achieve a desired degree of coverage. To this end, we propose a coverage algorithm based on polar coordinates to enhance the coverage after an initial random deployment. The desired positions of neighbor nodes along different directions are defined, Thus, the virtual radius and the virtual angle of a sensor node in the polar coordinate plane are calculated, and then the sensor node moves to the desired position in the radial direction and the circumferential direction, respectively. We adjust the nodes' polar coordinates via their radii and angles (in node ID sequence as much as possible) to reduce overlap in the node sensing area and improve the coverage of Wireless sensor Networks(WSNs).

关键词： Wireless sensor Networks(WSNs) Coverage Circle area Polar coordinate

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Research on Information Security Technology Based on Blockchain 3

Research on Information Security Technology Based on Blockch...

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3rd ieee international conference on Cloud computing and Big Data Analysis (ICCCBDA)

作者： Liu, Liang Xu, Budong Shandong Normal Univ Jinan Shandong Peoples R China

ISBN: (纸本)9781538643013

Information security is the key to the development of modern Internet technology. The distributed mechanism, decentralized mechanism, password mechanism and scripted mechanism of the Blockchain present a completely new perspective for the development of Internet information security technology. The Blockchain technology redefines the storage and dissemination methods of the information in the network. Neither participant needs to know each other, and nor does it require third-party certification bodies to participate. It records, transmits and stores transferring activities of the information value by distributed technology, ensures that data is not tampered and forged based on an asymmetric cryptographic algorithm, enables all participants reached a consensus on the status of blockchain data information. And from the current industry research on blockchain technology, it expounds the application of blockchain technology in identity authentication, data protection and network security. The Blockchain technology will be a great driving force in the process of information security technology change, and will have a far-reaching impact on the expansion of information security.

关键词： blockchain distributed timestamp decentralized information security

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The Hamiltonian of Data Center Network BCCC 4

The Hamiltonian of Data Center Network BCCC

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作者： He, Xin Zhang, Qingfeng Han, Zhijie Henan Univ Sch Comp & Informat Engn Kaifeng Henan Peoples R China Jiangsu High Technol Res Key Lab Wireless Sensor Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781538643990

With the development of cloud computing the topology properties of data center network are important to the computing resources. Recently a data center network structure - BCCC is proposed, which is recursively built structure with many good *** expandability. The Hamiltonian and expandability in data center network structure plays an extremely important role in network communication. This paper described the Hamiltonian and expandability of the expandable data center network for BCCC structure, the important role of Hamiltonian and expandability in network traffic.

关键词： Data center networks BCCC network structure expandability Hamiltonian Hamiltonian path

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distributed Generations Planning in Network Based on Marginal Benefit 3

Distributed Generations Planning in Network Based on Margina...

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3rd ieee international conference on Integrated Circuits and Microsystems (ICICM)

作者： Yu, Xiang Peng, Minfang Zhu, Yicheng Hunan Univ Coll Elect & Informat Engn Changsha 410082 Hunan Peoples R China

ISBN: (纸本)9781538683118

With the emphasis on environmental protection and the development of power systems, distributed generation (DG) has developed rapidly. Intelligent search algorithms such as genetic algorithms are widely used in DGs network access optimization planning. In order to avoid problems such as precocity, non-convergence of iteration, and unreasonable optimization of parameter settings in intelligent search algorithms such as genetic algorithms, marginal benefits are introduced. Basing on this concept, proposes a new DGs network entry planning method. This method does not need to set optimization parameters and iterates. The calculation is simple and the result is stable. Taking the network loss and the minimum voltage of the node as the optimization goal, the ieee 33-node standard system is simulated and compared. The experimental results prove the effectiveness and practicability of the proposed method.

关键词： distributed generation Site selection capacity determination marginal benefit

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AN Access Pattern Model Analysis for Online VoD multimedia Flow For BigData 4

AN Access Pattern Model Analysis for Online VoD multimedia F...

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作者： Han, Zhijie Ma, Ji-Ao Zhao, Hui Henan Univ Inst Data & Knowledge Engn Kaifeng Henan Peoples R China Henan Univ Sch Sofeware Kaifeng Henan Peoples R China Jiangsu High Technol Res Key Lab Wireless Sensor Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781538643990

The commonly agreed Zipf-like access pattern of Web work-loads is mainly based on Internet measurements when text-based content dominated the Web traffic. However, with dramatic increase of VoD media traffic on the Internet such as Flash P2P, the inconsistency between the access patterns of media objects and the Zipf model has been observed in a number of studies. Recently, many researcher has mentioned take long tail effect as a replacement of Zipf law. In this paper, we have studied a large variety of media work-loads collected from both browser and server sides in Adobe Flash P2P systems which applied in Youku, Youtube etc. Through extensive analysis and modeling, we find the object reference ranks of all these workloads follow the logistic (LOG) distribution despite their different media systems and delivery methods, This mean it does not follow long tail effect;We have further analyzed the effectiveness of media caching with a mathematical model.

关键词： Traffic analysis Modeling Access pattern logistic distribution

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Human Motion Recognition by Three-view Kinect sensors in Virtual Basketball Training

Human Motion Recognition by Three-view Kinect Sensors in Vir...

引用

ieee Region 10 international conference TENCON

作者： Baoqi Yao Hui Gao Xin Su Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing National Research Center for Information Science and Technology Tsinghua University Beijing China

ISBN: (数字)9781728184555

ISBN: (纸本)9781728184562

In recent years, human action recognition has received a considerable amount of research attention because of it's potential in a variety of applications, such as video surveillance, human-computer interaction, and virtual reality (VR). However, many researches on human action recognition performed in single-camera or double-camera system, which achieve reduced performance due to vulnerability to partial occlusion and miss-recognition of back. Some works on human action recognition use multiple cameras but are too complex for practical application. In this paper, we propose a new human action recognition system using triple Kinect sensors for VR application. Particularly, we design a mark detection method to determine the front of user and fusion skeleton data in real time. Features are extracted from three-dimensional (3D) skeleton data sequences, and divided into five parts according to body parts. A classification model based on the part-aware long short-term memory networks is proposed to recognize human motion. Finally, we demonstrate the system with a virtual reality basketball application and the results of experiment validate the feasibility of the proposed system.

关键词： Skeleton sensors Cameras sensor systems Feature extraction Face recognition Shoulder

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