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中国密码学会2013年密码芯片学术会议

作者： Jingwei Hu Jizeng Wei Wei Guo Ray C.C.Cheung School of Computer Science and Technology Tianjin University School of Computer Science and Technology Tianjin University Tianjin Key laboratory of Cognitive Computing and Application Department of Electronic Engineering City University of Hong Kong

This paper presents a fully parallelized and scalable RNS Montgomery multiplier over binary *** generalizing the RNS Montgomery Multiplication (RNS MM) and pseudo-Mersenne-like numbers, we are able to obtain a considerably high speed in our FPGA implementation experiments with acceptable circuit area and modest critical path ***, this design can be easily scalable by adjusting a variety of field sizes and field polynomials.

关键词： RNS MM Binary Field FPGA Scalable

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Efficient data-intensive processing in cloud computing environment

Efficient data-intensive processing in cloud computing envir...

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2013 International Conference on Communication Technology (ICCT 2013)

作者： Jiaman Ding Yi Du Qingxin Wang Ying Jiang Yunnan Provincial Key Laboratory of Computer Technology Application Faculty of Information Engineering and AutomationKunming University of Science and Technology City College Kunming University of Science and Technology

In order to solve the efficiency problem about the data-intensive query join in cloud computing environment, a Shrink-Semis Join for Cloud Computing(SSJFCC) method for data-intensive was proposed. This paper firstly analyzed and compared the bottlenecks of existing query join algorithm in the cloud computing environment. Secondly, aiming to shrink semi-results data from join process, five algorithms of SSJFCC method were designed. Finally, the improvement method had been implemented based on Hadoop framework. Experiments show that this method significantly reduced the network transmission data quantity and join computing time-consuming, and improved the data-intensive query efficiency.

关键词： data-intensive cloud computing query join map reduce

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Passive localization based on local observations in wireless sensor network using finite element method and Kalman filter

Passive localization based on local observations in wireless...

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Nirma University International Conference on engineering (NUiCONE)

作者： Hrishikesh Tripathi Rahul Shukla Department of Computer Application ITM Gwalior M.P. India Department. of Computer Science & Engineering S. R. Group of Institutions Jhansi UP

This paper deals with the recently investigated physical field model in wireless sensor network without additional infrastructure for location estimation, i.e. passive localization, in the form of partial differential equation (PDE) by employing the temperature distribution in the field. This novel framework can be defined into two steps. In the first step, the estimation algorithm of sensor node localization problem using finite element method (FEM) has been employed to obtain the solution based on physical phenomena (e.g., temperature) governed by discretizing the 1-D heat equation. In the second step, under consideration of uncertainty both occurring in the system and arising from noisy measurements, a refinement technique, i.e. Kalman filter, is incorporated to improve the accuracy of error analysis by reconstruction and prediction of temperature distribution. The computational results illustrate that the significant effect and better accuracy using elegant finite element approach and Kalman filter technique by means of simulation results.

关键词： Mathematical model Temperature measurement Wireless sensor networks Temperature distribution Finite element analysis Estimation Equations

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MULTI-CLASS ACTION RECOGNITION BASED ON INVERTED INDEX OF ACTION STATES

MULTI-CLASS ACTION RECOGNITION BASED ON INVERTED INDEX OF AC...

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IEEE International Conference on Image Processing

作者： Lishen Pei Mao Ye Pei Xu Xuezhuan Zhao Tao Li School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 P. R. China Chinese Academy of Science Chengdu Institute of Computer Application Chengdu 611731 P. R. China

ISBN: (纸本)9781479923427

A fast inverted index based algorithm is introduced for multi-class action recognition. At first, we compute the shape-motion features of the automatically localized actor. Secondly, a binary state tree is built by hierarchically clustering of the extracted features, and the action states are the cluster centers. Then videos are represented as sequences of states by searching the state binary tree. With the labeled state sequences, we create the inverted index tables. During testing, the state and the state transition scores are computed by querying the inverted index tables. With the learned weight, we compute an action recognition score vector. The recognized action class is the index of the maximum score element. Our key contribution is that we propose a fast inverted index based multi-class action recognition approach. Experiments on several challenging data sets confirm the performance of this approach.

关键词： Action Recognition Inverted Index Hierarchically Clustering Shape-Motion Feature Inverted files Action

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Color-space image compression with hardware Self-organizing map

Color-space image compression with hardware Self-organizing ...

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IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

作者： Naoki Terahara Yoshiro Oba Hiroomi Hikawa Graduate School of Science and Engineering Kansai University Suita-shi Osaka Japan Mitsubishi Electric Micro-Computer Application Software Co. Ltd

This paper discusses the use of Self-organizing map (SOM) for color-space image compression. Two types of compressions, i.e., color and space compressions, are carried out by SOM. The feasibility of the proposed compression method is verified by computer simulation. By applying both color and space compression, higher compression is achieved. In addition, the proposed compression system is implemented in hardware using a hardware SOM. The system is designed by using VHDL, and operation of the system is verified by FPGA implementation. Experimental result shows that the maximum clock frequency of this system is 26 MHz, and a single image is compressed with 25.2 ms, which yields 39.7 fps.

关键词： Vectors Image coding Image color analysis Neurons Hardware Training Color

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Fusion of Directional Spatial Discriminant Features for Face Recognition

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Procedia Technology 2013年 10卷 747-754页

作者： Aniruddha Dey Jamuna Kanta Sing Shiladitya Chowdhury Department of Computer Science & Engineering Jadavpur University 188 Raja S.C. Mullick Road Kolkata 700032 India Department of Master of Computer Application Techno India EM-4/1 Saltlake Sector V Kolkata-700091 India

Feature level fusion is one of the most important techniques, used to improve the performance of a face recognition system. This paper presents an approach of fusion of directional spatial discriminant features for face recognition. The key idea of the proposed method is to fuse the facial features lie along the horizontal, vertical and diagonal directions. So that this fused feature vector can contain more discriminant information than the individual facial feature lie along single direction. However due to fusion the size of fused feature vector is become larger which may increase complexity of the classifier. To optimize this lower dimensional discriminant features are again extracted from this large fused feature vector. In our experiment, we apply G-2DFLD method on the original images to extract the discriminant features. Then original images are converted into diagonal images and another set of discriminant features, representing the diagonal information, are extracted by using the G-2DFLD method. The original and diagonal features vectors are then fused to form a large feature vector. The dimension of this large fused feature vector is then reduced by PCA method and this resultant reduced feature vector is used for classification and recognition by Radial Basis Function-Neural Networks (RBF-NN). Experiments on the AT&T (formally known as ORL database) face database indicate the competitive performance of the proposed method, as compared to some existing subspaces-based methods. Click here and insert your abstract text.

关键词： Face recognition Feature Fusion PCA G-2DFLD

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Clustering in Wireless Sensor Networks: Performance Comparison of EAMMH and LEACH Protocols using MATLAB

Clustering in Wireless Sensor Networks: Performance Comparis...

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2013 International Conference on MEMS and Mechanics(MEMSM 2013)

作者： Monica R Mundada Nishanth Thimmegowda T Bhuvaneswari V CyrilRaj Dr M G R University Dept of Computer Science & Engineering MSRIT Dept of computer Application L N Govt College Dept of CSE and IT Dr M G R University

Conservation of the energy available in each sensor node and increasing network lifetime are most important design issues for a wireless sensor network（WSN）. Many routing algorithms have been developed in this regard. Out of all these, clustering algorithms have gained a lot of importance in increasing the network lifetime thereby the efficiency of the nodes in it. Clustering provides an effective way for prolonging the lifetime of WSN. This paper elaborately compares the two renowned routing protocols namely, LEACH and EAMMH supported by simulations scenarios, and analysis of the results against known metrics with energy and network lifetime being major among them.

关键词： Wireless Sensor Networks Increasing Network Lifetime LEACH EAMMH Energy Efficient Multi Path Multi Hop Dead Node Clustering

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The Adaptive Multicast Data Origin Authentication Protocol

The Adaptive Multicast Data Origin Authentication Protocol

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第二届中国互联网学术年会

作者： Liehuang Zhu Hao Yang Zhenghe Yang Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Application School of Computer Science and Technology Beijing Institute of Technology China Beijing

Most multicast data origin authentication schemes work under the fixed parameters without taking the problem of changeable network environment into ***,the network conditions will obviously influence the efficiency of a protocol such as the time delay and the overhead considering the packet loss rate or something *** adjusting the parameters adaptively to achieve the ideal state with the dynamic network is *** achieve a high authentication rate and adapt to the changeable and unstable network environment,we proposed a multicast data origin authentication protocol which is adaptive depending on the packet error rates as well as the time delay,and is robust against the packet loss and *** model can estimate a more appropriate packet error rate and make the time delay lower according to the feedback values got from the receivers using the Markov chain so that it can be ***’s more,the IDA (Information Dispersal Algorithm) and the Merkle HASH tree are also combined to resist the packet loss or *** strategy is especially efficient in terms of not only the adaptation of dynamic network but also the shortcut of overhead and delay,because the reliable intelligent algorithm is included in and only the necessary parts are involved in to authenticate.

关键词： Authentication adaptive estimate packet error rate time delay Markov chain

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Research on Encryption Model Based on AES and ECC in RFID

Research on Encryption Model Based on AES and ECC in RFID

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International Conference on computer sciences and applications (CSA)

作者： Yiran Lin Kaige Kang Yue Shi Department of Computer Science Southern Polytechnic State University Marietta Georgia United State Department of Software Engineering China University of Mining and Technology Beijing China Department of Computer Science and Application China University of Mining and Technolog Beijing China

Since the cost of RFID tags reducing constantly, the scale of its applications enlarges in industries and extends to various fields in our daily work and life. However, due to the openness of RFID, it owns a high attack risk when applied. This paper presents a model based on AES and ECC, which can protect users' privacy and implement access controls. This model takes advantage of both the virtues of a symmetric encryption algorithm and asymmetric encryption algorithm, encrypting AES key with ECC and empowering the client to encrypt system's ECC public key by using an ECC private key.

关键词： Encryption Elliptic curve cryptography Radiofrequency identification Ciphers Elliptic curves

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Effect on generalization of using relational information in list-wise algorithms

Effect on generalization of using relational information in ...

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Joint International Conference on Pervasive Computing and the Networked World, ICPCA/SWS 2012

作者： Chen, Guohua Tang, Yong Tang, Feiyi Ding, Shijin He, Chaobo School of Mathematical Sciences Souch China Normal University Guangzhou 510631 Guangdong China Shenzhen Engineering Laboratory for Mobile Internet Application Middleware Technology Shenzhen 518060 Guangdong China School of Computer Science Souch China Normal University Guangzhou 510631 Guangdong China School of Computing and Information Systems Univerisity of Melbourne VIC 3010 Australia

ISBN: (纸本)9783642370144

Learning to rank became a hot research topic in recent years and utilizing relational information in list-wise algorithms was discovered to be valuable and was widely adopted in various algorithms. These algorithms' empirical performances were usually given, but few of them conduct theoretical analysis on the generalization bound. Based on the theory of Rademacher Average, we derive the generalization bound of ranking relational objects algorithms and discuss the effect on the generalization bound of using this method. Especially, an interesting property of ranking relational objects algorithms for Topic Distillation was discovered: the generalization bound does not depend on the size of documents in each query in training set. Experiments are conducted to verify this property. © 2013 Springer-Verlag.

关键词： Distillation

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