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Covert channel mitigation method for secure real-time database using capacity metric

Tongxin Xuebao/Journal on Communications 2008年第8期29卷 46-56页

作者： Zeng, Hai-Tao Wang, Yong-Ji Ruan, Li Zu, W. Cai, Jia-Yong Lab for Internet Software Technology Institute of Software Chinese Academy of Science Beijing 100190 China Key Laboratory for Computer Science Chinese Academy of Sciences Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100049 China National Engineering Research Center for Fundamental Software Institute of Software Chinese Academy of Science Beijing 100190 China Integrate Information System Research Center Institute of Automation Chinese Academy of Science Beijing 100190 China

A capacity using covert channel mitigation method (CUCCMM) was proposed. This method uses capacity as metric for channel danger measure according to trusted computer system evaluation criteria (TCSEC) and multiple probabilities based protocol selection policy (MPBPSP) to guide die application of secure concurrency control protocol. The algorithms of channel's capacity measure and policy's parameter computing are also presented. Experimental results show that CUCCMM implements the restriction criterion on channel's capacity effectively and accurately, and the MPBPSP significantly decreases the influence of restriction operation on real-time performance.

关键词： Concurrency control

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Towards an inclusive computational model of visual cortex

Towards an inclusive computational model of visual cortex

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： M. Gheiratmand H. Soltanian-Zadeh H. Khaloozadeh Electrical Engineering Department K.N. Toosi University of Technology Tehran Iran Radiology Department Henry Ford Health System Image Analysis and Communications Laboratory Detroit MI USA School of Cognitive Sciences Institute for Studies Theoretical Physics and Mathematics (IPM) Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

Understanding the primatespsila visual system has been one of the challenging problems of different groups of scientists for years. Though many studies, from physiology and neuroscience to computer vision, are done on different aspects of visual processing in the cortex, a comprehensive computational model of visual cortex is still missing. We have implemented a computational model of object recognition in ventral visual pathway in our previous work. This hierarchical model covers visual areas V1/V2, V4/PIT, and AIT sending inputs to the Prefrontal Cortex (PFC) for categorization. To extend our model, in this work, we have added a simple model of motion detection in neurons of areas V1 and MT of the dorsal stream to our previous model. This has enabled the model to perform another principal function of the visual cortex, i.e., motion perception.

关键词： Brain modeling Computational modeling Neurons Biological system modeling Object recognition Motion analysis Solid modeling Visual system computer vision Motion detection

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Name disambiguation using many-to-one features

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Journal of Computational Information systems 2007年第4期3卷 1719-1724页

作者： Liu, Yuan He, Jing Yao, Conglei Computer Networks and Distributed System Laboratory School of Electronic Engineering and Computer Science Peking University Beijing 100000 China

As the Web increase drastically, more and more entity information come to appear on Web, including their profile information, their web log containing their idea, activity, speech and so on. However, there are many entities sharing same names. Such entities include persons, locations and so on. This paper presents an approach to estimate the number of entities sharing same name by employing many-to-one features. The basic idea is that the entities are not likely to share all other features even if they have the same name. We list some strategies for selecting key features, present an approach to extract the features on Web, and combine them to estimate the entity number. What is more, we also give a method to identify the fake information which will confuse us and filter them.

关键词： Information retrieval

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Pointwise Logic on Completely Distributive Lattices and Approximate Reasoning

Pointwise Logic on Completely Distributive Lattices and Appr...

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International Conference on Fuzzy systems and Knowledge Discovery (FSKD)

作者： Yalin Zheng Guang Yang Jing Zheng Jinsheng Xing State Key Laboratory for Intelligent Technology and Systems Department of Automation Faculty of Information Science and Technology Tsinghua University Beijing China Research Center of Intelligent Information Technology Department of Computer Science and Technology Faculty of Software Dongguan University of Science and Technology Dongguan China Research Center of Dongguan Economy Department of Economy and Commerce Dongguan University of Science and Technology Dongguan China Faculty of Mathematics and Computer Science Shanxi Normal University Linfen China Research Center of System Engineering Faculty of Electronic and Information Engineering Xi'an Jiaotong University Xi'an China

In this paper, we propose the basic framework of point- wise topological logic on completely distributive lattices and explore approximate reasoning in it. The logic of this paper is based on pointwise characterization, therefore the pointwise conception is pervasive. We explore approximate reasoning in abstract logical framework Fl on completely distributive lattice L. We propose the structure of point- wise topological logic F TL , the structure of matching function sigma. and the structure of matching neighborhood group. We investigate approximate reasoning in pointwise topological logic F TL with matching function sigma, develop pointwise topological algorithm of simple approximate reasoning, introduce the essential characteristics of this scheme.

关键词： Lattices Fuzzy logic computer science Knowledge engineering Fuzzy systems Information technology Laboratories Intelligent systems Automation Information science

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Hybrid splitting criteria based on purity measures

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WSEAS Transactions on computers 2007年第5期6卷 843-850页

作者： Povalej, Petra Kokol, P. Laboratory for System Design Faculty for Electrical Engineering and Computer Science University of Maribor Smetanova ulica 17 2000 Maribor Slovenia

Decision trees are one of the most transparent methods probably most often used for solving classification, tasks. In the process of decision tree induction a lot of input parameters have to be fine-tuned in order to obtain good results. However the most important and probably most influential parameter in top-down induction method is a splitting criterion, which can vary from one classification task to another. In this paper we empirically tested four of them, based on well known purity measures, on 54 UCI databases. Although none of the proposed splitting criterion in the literature has proved to be universally better than the rest, they are not always suitable for solving any classification task. Therefore we propose two new splitting criteria: hybrid linear combination of purity measures and voting of purity measures, which obtain at least comparable results to other well-known criteria used in greedy decision tree induction method, while their structure makes them ideal for non-expert users. Boosting was also applied as one of the most successful ensemble methods, which once again proved the ability to significantly improve the classification accuracy on many databases.

关键词： Classification (of information)

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Reliable and Energy Efficient Protocol for Wireless Sensor Network

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Tsinghua Science and Technology 2007年第S1期12卷 95-100页

作者：阚保强蔡理徐勇军 College of Science Air Force Engineering University Key Laboratory of Computer System and Architecture Institute of Computing TechnologyChinese Academy of Sciences

Low-power design is one of the most important issues in wireless sensor networks (WSNs) , while reliable information transmitting should be ensured as well. Transmitting power (TP) control is a simple method to make the power consumption down, but excessive interferences from potential adjacent operating links and communication reliability between nodes should be considered. In this paper, a reliable and energy efficient protocol is presented, which adopts adaptive rate control based on an optimal TP. A mathematical model considering average interference and network connectivity was used to predict the optimal TP. Then for the optimal TP, active nodes adaptively chose the data rate with the change of bit-error–rate(BER) performance. The efficiency of the new strategy was validated by mathematical analysis and simulations. Compared with 802.11 DCF which uses maximum unified TP and BASIC protocol, it is shown that the higher average throughput can achieve while the energy consumption per useful bit can be reduced according to the results.

关键词： wireless sensor networks reliable communication energy efficient optimal transmitting power adaptive link control

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Focus+Context visualization with distortion minimization

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IEEE transactions on visualization and computer graphics 2008年第6期14卷 1731-8页

作者： Yu-Shuen Wang Tong-Yee Lee Chiew-Lan Tai Computer Graphics Group/Visual System Laboratory Department of Computer Science and Information Engineering National Cheng-Kung University Taiwan R.O.C. braveheart@csie.ncku.edu.tw

The need to examine and manipulate large surface models is commonly found in many science, engineering, and medical applications. On a desktop monitor, however, seeing the whole model in detail is not possible. In this paper, we present a new, interactive Focus+Context method for visualizing large surface models. Our method, based on an energy optimization model, allows the user to magnify an area of interest to see it in detail while deforming the rest of the area without perceivable distortion. The rest of the surface area is essentially shrunk to use as little of the screen space as possible in order to keep the entire model displayed on screen. We demonstrate the efficacy and robustness of our method with a variety of models.

关键词： Index Terms Focus Context Visualization Magnification Bounding Space

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Camera interface method in mobile handset and its performance comparison

Camera interface method in mobile handset and its performanc...

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2007 International Conference on Parallel Processing Workshops, ICPPW 2007

作者： Eom, Minyoung Oh, Jaegeun Seon, Wook Kim Compiler and Embedded System Laboratory Department of Electronics and Computer Engineering Korea University Seoul Korea Republic of

ISBN: (纸本)0769529348

As 3G became the general tendency of mobile industry, new mobile handsets are challenged to show more and more functions. In order to process high-resolution images, the high-speed data transfer technology that was originally used in communication system or server system started to be adopted in mobile handsets. It is the purpose of this paper to describe and compare some technologies for high-speed data transfer between camera and ISP(Image Signal Processor) focusing on specifications in the PHY layer, after going over the structural features of the mobile handsets. Most of these technologies are based on serial interface and they show excellence in terms of power, bandwidth and EMI in comparison to the conventional parallel interface based on the LVCMOS technology. In order to verify this fact, this paper presents a comparison of the SMIA interfaced camera module which represents the serial interface (as an example of the subLVDS technology) and the parallel interfaced camera module which represents the parallel interface (as an example of a general LVCMOS technology). © 2007 IEEE.

关键词： Cameras

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Estimation diversity and energy efficiency in distributed sensing

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2007年第9期55卷 4683-4695页

作者： Cui, Shuguang Xiao, Jin-Jun Goldsmith, Andrea J. Luo, Zhi-Quan Poor, H. Vincent Department of Electrical and Computer Engineering Texas A and M University College Station TX USA Department of Electrical and Systems Engineering Washington University Saint Louis MO USA Wireless System Laboratory Department of Electrical Engineering University of Stanford Stanford CA USA Department of Electrical and Computer Engineering University of Minnesota Minneapolis MN USA Department of Electrical Engineering Princeton University Princeton NJ USA

Distributed estimation based on measurements from multiple wireless sensors is investigated. It is assumed that a group of sensors observe the same quantity in independent additive observation noises with possibly different variances. The observations are transmitted using amplify-and-forward (analog) transmissions over nonideal fading wireless channels from the sensors to a fusion center, where they are combined to generate an estimate of the observed quantity. Assuming that the best linear unbiased estimator (BLUE) is used by the fusion center, the equal-power transmission strategy is first discussed, where the system performance is analyzed by introducing the concept of estimation outage and estimation diversity, and it is shown that there is an achievable diversity gain on the order of the number of sensors. The optimal power allocation strategies are then considered for two cases: minimum distortion under power constraints;and minimum power under distortion constraints. In the first case, it is shown that by turning off bad sensors, i.e., sensors with bad channels and bad observation quality, adaptive power gain can be achieved without sacrificing diversity gain. Here, the adaptive power gain is similar to the array gain achieved in multiple-input single-output (MISO) multianterma systems when channel conditions are known to the transmitter. In the second case, the sum power is minimized under zero-outage estimation distortion constraint, and some related energy efficiency issues in sensor networks are discussed.

关键词： distributed estimation energy efficiency estimation diversity estimation outage

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Self-adjusting predicted particle swarm optimization

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Journal of Information and Computational Science 2007年第2期4卷 483-496页

作者： Cui, Zhihua Zeng, Jianchao Sun, Guoji State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 China Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 030024 China

Predicted particle swarm optimization is an enhanced version aiming to increase the utilization ratio of velocity information, and the performance heavily relies upon the parameters settings. According to control theory, the trajectories of position and velocity vectors of each particle can be both viewed as oscillatory links, and the relationship between inertia weight and accelerator coefficients is obtained. Thus, a self-adjusting parameter strategy is proposed. Simulation results show the new proposed strategy is powerful and useful.

关键词： Numerical methods

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