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An Energy-Aware Protocol for Data Gathering Applications in Wireless Sensor Networks

An Energy-Aware Protocol for Data Gathering Applications in ...

引用

IEEE International Conference on Communications (ICC)

作者： M. Liu Y. Zheng J. Cao G. Chen L. Chen H. Gong School of Computer Science and Engineering University of Electronic Science and Technology China Internet and Mobile Computing Lab Department of Computing Hong Kong Polytechnic University Hong Kong China State Key Laboratory for Novel Software Technology Nanjing University China

Data gathering is a major function of many applications in wireless sensor networks (WSNs). The most important issue in designing a data gathering algorithm is how to save energy of sensor nodes while meeting the requirement of applications/users such as sensing area coverage. In this paper, we propose a novel hierarchical clustering protocol for long-lived sensor network. EAP achieves a good performance in terms of lifetime by minimizing energy consumption for in-network communications and balancing the energy load among all nodes. EAP introduces a new clustering parameter for cluster head election, which can better handle the heterogeneous energy capacities. Furthermore, it also introduces a simple but efficient approach, namely intra-cluster coverage to cope with the area coverage problem. We evaluate the performance of the proposed protocol using a simple temperature sensing application. Simulation results show that our protocol significantly outperforms LEACH and HEED in terms of network lifetime and the amount of data gathered.

关键词： Wireless application protocol Wireless sensor networks Energy consumption Application software Temperature sensors computer networks Clustering algorithms Peer to peer computing Scalability Paper technology

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Pseudo Trust: Zero-Knowledge Based Authentication in Anonymous Peer-to-Peer Protocols

Pseudo Trust: Zero-Knowledge Based Authentication in Anonymo...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Li Lu Jinsong Han Lei Hu Jinpeng Huai Yunhao Liu Lionel M. Ni State Key Laboratory of Information Security Graduate School of Chinese Academy of Sciences Beijing China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong China State Key Laboratory of Software Developing Environment Beihang University Beijing China

Most of the current trust models in peer-to-peer (P2P) systems are identity based, which means that in order for one peer to trust another, it needs to know the other peer's identity. Hence, there exists an inherent tradeoff between trust and anonymity. To the best of our knowledge, there is currently no P2P protocol that provides complete mutual anonymity as well as authentication and trust management. We propose a zero-knowledge authentication scheme called pseudo trust (PT), where each peer, instead of using its real identity, generates an unforgeable and verifiable pseudonym using a one-way hash function. A novel authentication scheme based on zero-knowledge proof is designed so peers can be authenticated without leaking any sensitive information. With the help of PT, most existing identity-based trust management schemes become applicable in mutual anonymous P2P systems. We analyze the levels of security and anonymity in PT, and evaluate its performance using trace-driven simulations and a prototype implementation. The strengths of pseudo trust include the lack of need for a centralized trusted party or CA, high scalability and security, low traffic and cryptography processing overheads, and man-in-middle attack resistance. We aim for the pseudo trust design to be included in the P2P trust and anonymity context.

关键词： Authentication Peer to peer computing Protocols Knowledge management Identity management systems Performance analysis Information security Analytical models Virtual prototyping Scalability

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A New Data Protecting Scheme Based on TPM

A New Data Protecting Scheme Based on TPM

引用

ACIS International Conference on software engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)

作者： Mingdi Xu Jian He Bo Zhang Huanguo Zhang School of Computer State Key Laboratory of Software Engineering Wuhan University of China China Informationization Construction Teaching and Research Section Commanding Communications Academy Computer Faculty Working Office Electronic Information Department Hubei Water Resource Technical College

Trusted platform model (TPM) is special-purpose integrated circuits built into a variety of platforms to enable strong user authentication and machine attestation-essential to prevent inappropriate access to confidential and sensitive information and to protect against compromised networks. As a necessary component for multifarious platforms, storage device keeps on a mass of data including confidential and secretive information. How to ensure data not to be accessed by unauthorized users effectively, and to guarantee information to be in safe and secure state? Aiming at these problems, we put forward a novel scheme for protecting data on personal computer platform. By combing trusted computing platform, we propose a secure and reliable model for user authentication and data encryption. The model uses storage protocol to establish a password system to encrypt data, and uses TPM to authenticate different users. We also implement this model by adding it into trusted computing platform. The enhanced platform can not only encrypt data per sector drastically, but also exclude those who can't be authenticated. Some external software attacks and physical theft also cut no ice.

关键词： Protection Data security Cryptography Secure storage Distributed computing Protocols software engineering computer networks Concurrent computing Authentication

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An Algorithm for 3D Image Segmentation

An Algorithm for 3D Image Segmentation

引用

International Conference on Image and Graphics (ICIG)

作者： Ding Zhi Dong Yu-ning College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Jiangsu Provincial Key Lab of Computer Information Processing Technology Suzhou University Suzhou China

We propose a new 3D image segmentation method based on prediction, block-matching and partial 3D constraint in this paper. The algorithm only needs to set a few key points in the first image. We use intensity information and block-matching to optimize the initial condition, and consider the 3D object's characteristics at the same time. By using the partial 3D constraints we can get the result of 2D and 3D smoothness. Experimental results validate its usefulness in 3D image segmentation.

关键词： Image segmentation Active contours Image motion analysis Shape Educational technology Information processing Prediction methods Image converters Image sequences computer graphics

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Approximation of Circular Arcs by C2 Cubic Polynomial B-splines

Approximation of Circular Arcs by C2 Cubic Polynomial B-spli...

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10th IEEE International Conference on computer Aided Design and computer Graphics(第十届CAO/Graphics国际会议)

作者： Wu Yang Xiuzi Ye Laboratory of Image Science & Technology School of Computer Science & Engineering Southeast Universi College of Computer Science/State Key Lab of CAD&CG Zhejiang University Hangzhou310027P.R.China So

An algorithm to approximate circle/circular arc with C2 cubic B-spline curve is presented. Given a prescribed tolerance ∈,the algorithm can find a C2 cubic B-spline curve with minimal number of segments that approximate the given circle/circular arc within ∈. The method developed can be used for various applications in CAD/CAM,Biomechanical engineering and other fields.

关键词： Spline Polynomials computer science Design automation computer aided manufacturing CADCAM laboratories Educational institutions Application software Surface topography

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Optimal operating conditions and modulation format for 160 Gb/s signals in a fiber parametric amplifier used as a slow-light delay line element

Optimal operating conditions and modulation format for 160 G...

引用

OFC/NFOEC 2007 - Optical Fiber Communication and the National Fiber Optic Engineers Conference 2007

作者： Liu, Fangfei Su, Yikai Voss, Paul L. State Key Lab. of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University 800 DongChuan Rd Shanghai 200240 China School of Electrical and Computer Engineering Georgia Institute of Technology 777 Atlantic Drive Atlanta GA 30332-0250 United States Georgia Tech Lorraine GT-CNRS UMI 2958 2-3 rue Marconi Metz F-57070 France

We study optimal operating conditions for 160-Gb/s signals traversing a slow-light delay line based on parametric amplification. Six phase modulated formats are investigated, including CSRZ, PAP-CSRZ, GAP-CSRZ, RZ duo... 详细信息

ISBN: (纸本)1557528314

关键词： Fiber amplifiers

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A kind of fuzzy constructive neural network and its application

A kind of fuzzy constructive neural network and its applicat...

引用

26th Chinese Control Conference, CCC 2007

作者： Tao, Wu Liwei, Chen Junjun, Mao Ling, Zhang State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing 210093 China Key Lab. IC and SP Anhui University Hefei 230039 China School of Mathematics and Computational Science Anhui University Hefei 230039 China

ISBN: (纸本)7900719229

Support vector machine (SVM) has been studied and applied extensively for its high accuracy, but it must construct SVM decision tree to classify sample sets with multiclass for it just be applicable for binary classification and solve a quadratic programming problem to gain optimal hyperplane either in sample spaces or in feature spaces;Alternative covering algorithm which designs neutral networks with spherical domains has the advantages of fast performance, some hard solving problems have been solved using this algorithm. In this paper, a new kind of structural learning algorithm which combining covering design algorithm, fuzzy set and SVM is put forward, instances show that this kind of networks has the virtue of both covering design algorithm and SVM.

关键词： Fuzzy neural networks

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Discovering Protein Complexes from Protein-Protein Interaction Data by Local Cluster Detecting Algorithm

Discovering Protein Complexes from Protein-Protein Interacti...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Juan Liu Bin Liu Deyi Li School of Computer Wuhan University of China Wuhan China Wuhan University Wuhan Hubei CN State Key Laboratory of Software Engineering Wuhan University of China Wuhan China Institute of Computing Technology Chinese Academy and Sciences Beijing China

Proteins are usually grouped into complexes to perform functional tasks in organisms. So discovery of protein complexes is critical to understand principles of cellular organization and function. Recently high-throughput techniques have produced large amount of protein-protein interaction (PPI) data, which make it possible to detect protein complexes automatically from PPI data by using computational method. In this paper, we propose a local cluster detection algorithm (LCDA) to find the protein complexes. Super to other methods existed, LCDA is able to find both non-overlapping and overlapping clusters. The experiment results show that LCDA can detect protein complexes with very high accuracies.

关键词： Clustering algorithms Protein engineering Nuclear magnetic resonance Organisms Complex networks software algorithms software engineering computers Detection algorithms Crystallography

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An efficient Method for Protein Secondary Structure Prediction

An efficient Method for Protein Secondary Structure Predicti...

引用

The 1st International Conference on Bioinformatics and Biomedical engineering(iCBBE 2007)(首届IEEE生物信息与生物医学工程国际会议)

作者： Tao WU Junjun MAO Ling ZHANG State Key Laboratory for Novel Software Technology Department of Computer Science & TechnologyNanj School of Mathematics and Computational Science Anhui University Hefei 230039 R.P.China Key Lab IC&SP Anhui University Hefei 230039 R.P.China

The secondary structure prediction of protein plays an important role to obtain its tertiary structure and function. In the past thirty years, a huge amount of algorithms have been employed to this task. The better predicators are based on machine learning techniques, especially based on neural networks. But the architecture of neural network is hard to define, and the training process is time-consuming. In this paper,a constructive machine learning approach is used to predict protein secondary structure with five different encoding schemes,the results show that the constructive algorithm can achieve high predicting accuracies and the encoding schemes have influence on predicting result.

关键词： protein secondary structure prediction constructive machine learning spherical neighborhood encoding scheme

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Quantification of natural surveillance in urban areas for crime prevention using vehicle-borne laser scanners

Quantification of natural surveillance in urban areas for cr...

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10th International Conference on computers in Urban Planning and Urban Management, CUPUM 2007

作者： Tanaka, Hideto Zhao, Huijing Chen, Yuzhong Shibasaki, Ryosuke Japan Urban Security Research Institute P.O. Box 2517 Tokyo Opera City Tokyo 163-1408 Japan State Key Lab of Machine Perception School of Electronics Engineering and Computer Science Peking University Beijing 100871 China Center for Spatial Information Science University of Tokyo 5-1-5 Kashiwanoha Kashiwa-shi Chiba 277-8568 Japan

ISBN: (纸本)9788585205775

This research aims to quantify natural surveillance in urban areas, an important factor for Crime Prevention Through Environmental Design (CPTED), with high resolution. This quantification considers the effect of detailed configurations of geographical features such as buildings, trees, and fences, which are difficult to model with CAD-based design, on visibility. We define natural surveillance as visibility from roads, and measure such visibility in urban areas by using laser scanning systems borne on a motor vehicle or a hand truck. Visibility can be measured by supposing a laser beam as a human gaze. The measured areas include a neighborhood known to have a high rate of invasion theft and a crime prevention model district in Japan. The results are visualized in 2-D and 3-D space, and the effect of the detailed configurations of geographical features on visibility can be recognized. We propose that a vehicle-borne laser scanning system is useful for measuring natural surveillance in urban areas.

关键词： Scanning

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