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Study on An Absolute Non-Collision Hash and Jumping Table IP Classification Algorithms

Wuhan university Journal of Natural sciences 2004年第5期9卷 835-838页

作者： SHANG Feng-jun 1,2.,PAN Ying-jun 1 1. Key Laboratory of Opto-Electronic technology and System of Ministry of Education/college of Opto-Electronic Engineering,{2. university, {2. 400044,China 2. college of computer science and technology, chongqing university of posts and telecommunications, chongqing 400065,China chongqing university Key Laboratory of Opto-Electronic Technology and System of Ministry of Education/College of Opto-Electronic Engineering Chongqing China (GRID:grid.190737.b) (ISNI:***) chongqing university of {2. and telecommunications College of Computer Science and Technology Chongqing China (GRID:grid.411587.e) (ISNI:***) chongqing university Key Laboratory of Opto-Electronic Technology and System of Ministry of Education/College of Opto-Electronic Engineering Chongqing China (GRID:grid.190737.b) (ISNI:***)

In order to classify packet, we propose a novel IP classification based the non-collision hash and jumping table trie-tree (NHJTTT) algorithm, which is based on noncollision hash Trie-tree and Lakshman and Stiliadis proposing a 2.dimensional classification algorithm (LS algorithm). The core of algorithm consists of two parts: structure the non-collision hash function, which is constructed mainly based on destination/source port and protocol type field so that the hash function can avoid space explosion problem; introduce jumping table Trie-tree based LS algorithm in order to reduce time complexity. The test results show that the classification rate of NHJTTT algorithm is up to 1 million packets per second and the maximum memory consumed is 9 MB for 10 000 rules. Key words IP classification - lookup algorithm - trie-tree - non-collision hash - jumping table CLC number TN 393.06 Foundation item: Supported by the chongqing of posts and {2. Younger Teacher Fundation (A2.03-03).Biography: SHANG Feng-jun (1972.), male, Ph.D. candidate, lecture, research direction: the smart instrument and network.

关键词： IP classification lookup algorithm trie-tree non-collision hash jumping table

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A Case Study of 3D Protein Structure Prediction with Genetic Algorithm and Tabu Search

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Wuhan university Journal of Natural sciences 2011年第2期16卷 125-129页

作者： WANG Ting1,2. ZHANG Xiaolong1, 3 1. School of computer science and {2., Wuhan university of science and {2., Wuhan 430065, Hubei, China 2. college of Mobile telecommunications, chongqing university of posts and telecommunications, chongqing 400065, China 3. State Key Laboratory of Bioelectronics, Southeast university, Nanjing 2.0096, China School of computer science and {2. Wuhan University of Science and Technology Wuhan Hubei China college of Mobile telecommunications Chongqing University of Posts and Telecommunications Chongqing China State Key Laboratory of Bioelectronics Southeast University Nanjing China

This paper describes a case study of 3D protein structure prediction of six sequences from protein data bank （PDB） by genetic algorithm and tabu search （GATS）, where off-lattice AB model is considered as a simplified model of protein structure. The lowest-energy values required for forming the native conformation of proteins are searched by GATS, and then the coarse structures （i.e., simplified structure） of the proteins are obtained according to the multiple angle parameters corresponding to the lowest energies. All the coarse structures form single hydrophobic cores surrounded by hydrophilic residues, which stay on the right side of the actual characteristic of protein structure. It demonstrates that this approach can predict the 3D protein structure effectively.

关键词： 3D protein structure off-lattice AB model genetic algorithm and tabu search (GATS)

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Theory and techniques of data mining in CGF behavior modeling

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science China(Information sciences) 2011年第4期54卷 717-731页

作者： YIN YunFei 1,2.GONG GuangHong 2.& HAN Liang 2.1 college of computer {2.,chongqing university,chongqing 400044,China 2.School of Automation {2. and Electrical Engineering,Beijing university of Aeronautics and Astronautics,Beijing 100083,China 1. college of computer {2. Chongqing University Chongqing 400044 China2. School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing 100083 China

For the large quantity of data,rules and models generated in the course of computer generated forces (CGFs) behavior modeling,the common analytical methods are statistical methods based on the tactical rules,tactical doctrine and empirical ***,from the viewpoint of data mining,we can find many of these analytical methods are also each-and-every different data mining *** this paper,we survey the data mining theory and techniques that have appeared in the course of CGF behavior modeling from the viewpoint of data ***,we redefine and reclassify these theories and techniques according to the research requirements of data mining (the knowledge structure of data mining).We aim to help the CGF investigators to learn the key points and the research methods of the data intelligent processing in the CGF behavior modeling,and thus we can provide the references for the colleagues who are engaged in the research and practice of the CGF behavior modeling by this *** also introduce our ongoing work on the CGF behavior modeling based on data mining.

关键词： CGF CGF behavior modeling data mining theory and techniques

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The Multi-level Recovery of Main-memory Real-time Database Systems with ECBH

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The Journal of China Universities of posts and telecommunications 2003年第1期10卷 15-24页

作者： ZOU Yong-gui, GE Jun-wei (college of computer {2. and technology, Chonqqing university of posts and telecommunications, chongqing 400065, P.R. China) college of computer {2. and technology Chonqqing University of Posts and Telecommunications 重庆 400065

Storing the whole database in the main-memory is a common method to processreal-time transaction in real-time database systems. The recovery mechanism of Main-memory Real-timeDatabase Systems (MMRTDBS) should reflect the characteristics of the main-memory database andreal-time database because their structures are quite different from other conventional databasesystems. In this paper, therefore, we propose a multi-level recovery mechanism for main-memoryreal-time database systems with Extendable Chained Bucket Hashing (ECBH). Owing to the occurrence ofreal-time data in real-time systems, we should also consider it in our recovery mechanism .According to our performance test, this mechanism can improve the transaction concurrency, reducingtransactions ' deadline missing rate.

关键词： DBMS multi-level recovery hash main- memory database real-time

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Impact of Power Control Strategy and Cell Classification on Hierarchical Cellular System's Reverese Link

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The Journal of China Universities of posts and telecommunications 1999年第2期6卷 1-7页

作者： ZHOU Jie CHEN Jinu YOSHIKUNI Onozato(1. Department of computer science, {2. Universities of posts and telecommunications. {2.. 400065. P R, China 2. Department of computer science, Faculty of Engineering, Gunma university. Kiryu-City. Gunma P Department of computer science Chongqing Universities of Posts and Telecommunications Chongqing 400065 P R. China Department of computer science Faculty of Engineering Gunma University Kiryu-City Gunma Province Japan

This contribution deals with the outage probability in a hierarchical macrocell/microcell CDMA *** consider different attenuation models and imperfection of power control with log-normal *** on IS-95 protocol, the impacts of imperfect sectorization and imperfection of power control on outageProbability are fully investigated From the numerical results, we conclude that the high user capacity may beexpected in the case of relatively tight power control and narrower overlap betWeen sectors and the hierarchicalmacrocell/microcell cellular systems are potential for the future cellular mobile communication.

关键词： transmitter power control (TPC) binomial distribution log-normal dl'stribution hierarchicalcellular system outage probability cell classification: link capocity break point: perfect/imperfect powercontrol$$$$CLC number:##5TN 914.53

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Effect of annealing treatment on the structural, optical, and electrical properties of Al-doped ZnO thin films

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Rare Metals 2007年第3期26卷 247-253页

作者： LI Li FANG Liang CHEN Ximing LIU Gaobin LIU Jun YANG Fengfan FU Guangzong KONG Chunyang college of Photoelectric Engineering Chongqing University of Posts and Telecommunications Chongqing 400065 China Department of Applied Physics Chongqing University Chongqing 400044 China Department of Physics Chongqing Normal University Chongqing 400047 China

Highly conductive and transparent Al-doped ZnO （AZO） thin films were prepared from a zinc target containing Al （1.5 wt.%） by direct current （DC） and radio frequency （RF） reactive magnetron sputtering. The structural, optical, and electrical properties of AZO films as-deposited and submitted to annealing treatment （at 300 and 400℃, respectively） were characterized using various techniques. The experimental results show that the properties of AZO thin films can be further improved by annealing treatment. The crystallinity of ZnO films improves after annealing treatment. The transmittances of the AZO thin films prepared by DC and RF reactive magnetron sputtering are up to 80% and 85% in the visible region, respectively. The electrical resistivity of AZO thin films prepared by DC reactive magnetron sputtering can be as low as 8.06 x 10-4 Ωcm after annealing treatment. It was also found that AZO thin films prepared by RF reactive magnetron sputtering have better structural and optical properties than that prepared by DC reactive magnetron sputtering.

关键词： AZO thin films structure optical and electrical properties annealing transmittance spectra electrical resistivity

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Study on An Absolute Non-Collision Hash and Jumping Table IP Classification Algorithms

Study on An Absolute Non-Collision Hash and Jumping Table IP...

引用

The First Conference on Web Information System and Applications(WISA 2.04)

作者： SHANG Feng-jun~(1,2., PAN Ying-jun~1 1. Key Laboratory of Opto-Electronic technology and System of Ministry of Education/college of Opto-Electronic Engineering,{2. university, {2. 400044, China 2. college of computer science and technology, chongqing university of posts and telecommunications, chongqing 400065, China

In order to classify packet, we propose a novel IP classification based the non-collision hash and jumping table Trie-tree (NHJTTT) algorithm, which is based on noncollision hash Trie-tree and Lakshman and Stiliadis proposing a 2.dimensional classification algorithm (LS algorithm). The core of algorithm consists of two parts: structure the non-collision hash function, which is constructed mainly based on destination/source port and protocol type field so that the bash function can avoid space explosion problem;introduce jumping table Trie-tree based LS algorithm in order to reduce time complexity, The test results show that the classification rate of NHJTTT algorithm is up to 1 million packets per second and the maximum memory consumed is 9 MB for 10 000 rules.

关键词： IP classification lookup algorithm trie-tree non-collision hash jumping table

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Terrain classification based on adaptive weights with airborne LiDAR data for mining area

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中国有色金属学会会刊：英文版 2011年第S3期21卷 648-653页

作者： LI Hui-ying1, WANG Zhi2. SUN Ya-feng1, LI Wen-hui1 1. college of computer {2. and technology, Jilin university, Changchun 130012. China 2. college of Resources and Civil Engineering, Northeastern university, Shenyang 110004, China [a] college of computer {2. and technology Jilin University Changchun 130012 China [b] college of Resources and Civil Engineering Northeastern University Shenyang 110004 China

The fast high-efficiency inspection for mining subsidence of mine area is a reliable way for forecasting accident and evaluating losing expense. In order to monitor mining subsidence of exploitation mine efficiently, LiDAR data were used and a novel strip division method was brought forward based on separating-treatment theory, which divided the mass of discrete three-dimensional point cloud data into a series of parallel strips and reduced the dimension in each strip. Polynomial fitting algorithm based on the adaptive weights, which located in the range of the strip, was used for classification complex terrain data of mine-area. The results show that LiDAR datamation can be greatly reduced. In the mean time, the time spending for calculation is shortened, and computational complexity is simplified. Therefore, high-efficiency terrain classification of LiDAR point cloud method can be great beneficial to monitoring environment of mine area.

关键词： mining subsidence airborne LiDAR strip division adaptive weights

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A Preliminary Study of the Noninvasive Remote Control System for Rat Bio-Robot

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Journal of Bionic Engineering 2010年第4期7卷 375-381页

作者： Xitian Pi~(1,2.,Shuangshuang Li~1,Lin Xu~1,Hongying Liu~1,Shenshan Zhou~1,Kang Wei~1,Zhenyu Wang~1,Ziru Jia,Xiaolin Zheng~(1,2.,Zhiyu Wen~2.1.Bioengineering college,chongqing {2.,chongqing 400030,P.R.China 2.Key Laboratories for National Defense science and technology of Innovative Micro-Nano Devices and System technology,chongqing {2.,chongqing 400030,P.R.China [a] Bioengineering college Chongqing University Chongqing 400030 P. R. China [b] Key Laboratories for National Defense Science technology of Innovative Micro-Nano Devices System technology Chongqing University Chongqing 400030 P. R. China

A system is described here that can noninvasively control the navigation of freely behaving rat via ultrasonic,epidermaland LED photic stimulators on the *** system receives commands from a remote host computer to deliver specifiedelectrical stimulations to the hearing,pain and visual senses of the rat *** results demonstrate that the three stimuliwork in groups for the rat *** can control the rat to proceed and make right and left turns with great *** verified that the rat was able to reach a setting destination in the way of cable with the help of a person through theappropriate coordination of the three *** telemetry video camera mounted on the head of the rat also achieveddistant image acquisition and helped to adjust its navigation path over a distance of 300 *** a word,the non-invasive motioncontrol navigation system is a good,stable and reliable bio-robot.

关键词： rat navigation bio-robot ultrasonic stimulator epidermal stimulator LED photic stimulator

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An Initiative Learning Algorithm Based on System Uncertainty

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The Journal of China Universities of posts and telecommunications 2005年第1期12卷 53-59页

作者： ZHAO Jun~(1,2.1.Institute of computer science & {2., chongqing university of posts & telecommunications, chongqing 400065,P.R.China 2.Faculty of Engineering, science & Built Environment, London South Bank university, SE1 0AA, London, United Kingdom Institute of computer science & {2. Chongqing University of Posts & Telecommunications 重庆 400065

Initiative-learning algorithms are characterized by and hence advantageousfor their independence of prior domain knowledge. Usually, their induced results could moreobjectively express the potential characteristics and patterns of information ***-learning processes can be effectively conducted by system uncertainty, becauseuncertainty is an intrinsic common feature of and also an essential link between information systemsand their induced results. Obviously, the effectiveness of such initiative-learning framework isheavily dependent on the accuracy of system uncertainty measurements. Herein, a more reasonablemethod for measuring system uncertainty is developed based on rough set theory and the conception ofinformation entropy; then a new algorithm is developed on the bases of the new system uncertaintymeasurement and the Skowron's algorithm for mining prepositional default decision rules. Theproposed algorithm is typically initiative-learning. It is well adaptable to system uncertainty. Asshown by simulation experiments, its comprehensive performances are much better than those ofcongeneric algorithms.

关键词： initiative-learning rough set system uncertainty factor system certaintyfactor system uncertainty degree

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