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Bit Stream Oriented Enumeration Tree Pruning Algorithm

Journal of Shanghai Jiaotong university(Science) 2011年第5期16卷 567-570页

作者：邱卫东金凌杨小牛杨红娃 School of Information Security Engineering Shanghai Jiaotong University National Science and Technology on Communication Information Security Control Laboratory No. 36 Institute of China Electronics Technology Group Corporation

Packet analysis is very important in our digital life. But what protocol analyzers can do is limited because they can only process data in determined format. This paper puts forward a solution to decode raw data in an unknown format. It is certain that data can be cut into packets because there are usually characteristic bit sequences in packet headers. The key to solve the problem is how to find out those characteristic sequences. We present an efficient way of bit sequence enumeration. Both Aho-Corasick (AC) algorithm and data mining method are used to reduce the cost of the process.

关键词： pattern matching data mining frequent set frequent sequence association rule

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An Efficiency Enhanced Graphene/n-Si Schottky Junction for Solar Cells

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Chinese Physics Letters 2018年第7期35卷 58-61页

作者：李刚程宏伟郭丽芳王开鹰程再军 MicroNano System Research Center College of Information and Computer & Key Lab of Advanced Transducers and Intelligent Control System of Ministry of Education Taiyuan University of Technology Taiyuan 030024 School of Optoelectronic and Communication Engineering Xiamen University of Technology Xiamen 361024

A novel and facile oxidation-induced self-doping process of graphene-silicon Schottky junction by nitric acid（HNO3） vapor is reported. The HNO3 oxidation process makes graphene p-type self-doped, and leads to a higher built-in potential and conductivity to enhance charge transfer and to suppress charge carrier recombination at the graphene-silicon Schottky junction. After the HNO3 oxidation process, the open-circuit voltage is increased from the initial value of 0.36 V to the maximum value of 0.47 V, the short-circuit current is greatly increased from 0.80μA to 7.71μA, and the ideality factor is optimized from 4.4 to 1.0. The enhancement of the performance of graphene-Si solar cells may be due to oxidation-induced p-type self-doping of graphene-Si junctions.

关键词： Graphene

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A Novel Evaluation Strategy to Artificial Neural Network Model Based on Bionics

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Journal of Bionic engineering 2022年第1期19卷 224-239页

作者： Sen Tian Jin Zhang Xuanyu Shu Lingyu Chen Xin Niu You Wang School of Mathematics and Statistics Hunan Normal UniversityChangsha410081China College of Information Science and Engineering Hunan Normal UniversityChangsha410081China School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China Key Laboratory of Industrial Control Technology Zhejiang UniversityHangzhou310058China Science and Technology on Parallel and Distributed Laboratory College of ComputerNational University of Defense TechnologyChangsha410199China Key Laboratory of Industrial Control Technology Institute of Cyber Systems and ControlZhejiang UniversityHangzhou310027China

With the continuous deepening of Artificial Neural Network(ANN)research,ANN model structure and function are improving towards diversification and ***,the model is more evaluated from the pros and cons of the problem-solving results and the lack of evaluation from the biomimetic aspect of imitating neural networks is not inclusive ***,a new ANN models evaluation strategy is proposed from the perspective of bionics in response to this problem in the ***,four classical neural network models are illustrated:Back Propagation(BP)network,Deep Belief Network(DBN),LeNet5 network,and olfactory bionic model(KIII model),and the neuron transmission mode and equation,network structure,and weight updating principle of the models are analyzed *** analysis results show that the KIII model comes closer to the actual biological nervous system compared with other models,and the LeNet5 network simulates the nervous system in ***,evaluation indexes of ANN are constructed from the perspective of bionics in this paper:small-world,synchronous,and chaotic ***,the network model is quantitatively analyzed by evaluation indexes from the perspective of *** experimental results show that the DBN network,LeNet5 network,and BP network have synchronous *** the DBN network and LeNet5 network have certain chaotic characteristics,but there is still a certain distance between the three classical neural networks and actual biological neural *** KIII model has certain small-world characteristics in structure,and its network also exhibits synchronization characteristics and chaotic *** with the DBN network,LeNet5 network,and the BP network,the KIII model is closer to the real biological neural network.

关键词： Artificial neural network(ANN) Back Propagation(BP)network Deep Belief Network(DBN) LeNet5 network Olfactory bionic model(KIII model) Small world Chaos Synchronous

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Blind identification of digital communication signals based on statistics of directional data 08

Blind identification of digital communication signals based ...

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2008 International Conference on Advanced Infocomm technology, ICAIT '08

作者： Man-Jun, Lu Yi, Zhan Xi-Cai, Si Xiao-Niu, Yang School of Information and Communication Engineering Harbin Engineering University Harbin 15001 China National Laboratory of Information Control Technology for Communication System Jiaxing 314001 China

ISBN: (纸本)9781605580883

This paper presents a new clustering algorithm to solve the blind identification problem of digital communication signal modulation types. the algorithm utilized the instantaneous frequency and instantaneous phase of sampling circular statistical data as a training sample to extract classification feature based on the statistical theory of directional data. And use the characteristic parameters to achieve a variety of different types of communication signals in the modulation recognition on the two-dimensional plane. This method is not only able to make identification classes, but also to achieve recognition subclasses. Simulation results show that the algorithm simple and efficient, and high in accuracy, robustness better and has strong practicality and feasibility. Copyright © 2008 ACM.

关键词： Sampling

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A strategy for accurate prediction of dielectric permittivity and dielectric strength in polyimide

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High Voltage 2024年第6期9卷 1393-1401页

作者： Yu Wang Changhai Zhang Jiaqi Lin Hongguo Sun Ying Yang Wenlong Yang School of Electrical and Electronic Engineering Harbin University of Science and TechnologyHarbinChina School of Science Harbin University of Science and TechnologyHarbinChina Polymer Composites Engineering Laboratory Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchunChina State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and AstronauticsNanjingChina School of Measurement and Communication Engineering Harbin University of Science and TechnologyHarbinChina

A strategy was proposed to predict accurately the dielectric permittivity and dielectric strength based on the Onsager local field *** molecular dynamic simulation was utilised to analyse the dipole moment fluctuation in polyimide(PI)to reflect the polar-isation response of applied electric *** simulation results revealed that the optical dielectric permittivity and static dielectric permittivity were 2.62 and 3.34,showing that the electronic displacement polarisation of the PI acted as a major *** deviation between simulated and measured values of the frequency-dependent relative dielectric permittivity was no more than 5%,which exhibited high *** the polarisation response of the polar groups in the PI was at infrared frequencies,the conductive loss may be the dominant role in 102–106 Hz at room ***,the effect of Joule heat on the structure,dielectric permittivity and Young modulus was considered to accurately predict the dielectric strength of the PI(359 kV/mm),which was in agreement with experimental values in the *** results establish a clear correlation between structural characteristics and dielectric properties of the PI,which would be the theoretical insights into the design and synthesis of the PI with tailored dielectric properties.

关键词： dielectric strength permittivity

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Research on optimization of kinematic parameters of pectoral fin

Research on optimization of kinematic parameters of pectoral...

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2nd International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2012

作者： Qiang, Liu Zhicheng, Ji School of Electronic Engineering Huaihai Institute of Technology Lianyungang 222005 China School of Communication and Control Engineering Jiangnan University Wuxi 214122 China

ISBN: (纸本)9783037855409

Since the propulsion performance of fish pectoral fin is directly related to its kinematic parameters, for improving the propulsion performance of pectoral fin, the kinematic model of propulsion motion of pectoral fin was established, the hydrodynamic force acted on the pectoral fin during propulsion motion was calculated and the mathematic model which optimized the propulsion performance of pectoral fin was established. Then MATLAB was used to write the genetic algorithm program which is used to get the optimal solution of kinematic parameters of pectoral fin. Finally, the simulation analysis of the propulsion performance of pectoral fin was developed. From the simulation result, it can be got that the optimal model established and the optimal algorithm adopted can play an important role in improving the propulsion performance of pectoral fin. Therefore, the optimal analysis developed in this paper is reasonable and effective as well as provides theoretical reference to the research on the bionic pectoral fin and the new underwater maneuvering vehicle. © (2013) Trans Tech Publications, Switzerland.

关键词： Genetic algorithms

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Fingerprint singular points extraction based on the properties of orientation model

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The Journal of China Universities of Posts and Telecommunications 2011年第1期18卷 98-104页

作者： SU Fei SUN Peng WANG Bo-tao CAI An-ni School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China Department of Automation Tsinghua University Beijing 100084 China College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100124 China

A novel method for fingerprint singular points extraction including location and orientation is proposed based on some properties of the orientation field models. Singular points are located by clustering the results of corner detection. Then, through examining the sub-block orientation fields at a number of selected positions on concentric circles centered about the located singular point, an iterative method based on the orientation differences is proposed to compute the orientation of the core point. Experimental results on NIST4 and FVC2002 four databases demonstrate the proposed method can consistently locate singular points with the high accuracy. The location and orientation of the detected singular points can be used for alignment （translation and rotation） parameters in fingerprint matching.

关键词： fingerprint orientation model singular points core delta

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Unsupervised Color-Texture Image Segmentation Based on A New Clustering Method

Unsupervised Color-Texture Image Segmentation Based on A New...

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International Conference on New Trends in Information and Service Science, NISS

作者： Yixin Yan Yongbin Shen Shengming Li College of Measure-Control Technology & Communication Engineering Harbin University of Science and Technology Harbin China

Image segmentation is a classical problem in the area of image processing, motion estimation, and soon. Although there exist a lot of clustering based approaches to perform image segmentation, few of them study how to obtain more accurate image segmentation results by designing a suitable clustering method. In this paper, we select an appropriate distance measure in the composite feature space of color and texture. Then the distance measure is incorporated in a clustering method that utilizes the spatial information of each feature vector. Finally, the proposed scheme performs morphology filtering to obtain the final segmented regions. Experimental results show that proposed scheme can constantly achieve higher segmentation accuracy compared to some state-of-art image segmentation algorithms.

关键词： Image segmentation Clustering methods Clustering algorithms Algorithm design and analysis Pixel Extraterrestrial measurements Image processing Morphology Filtering Image analysis

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Robust Image Watermarking Based on singular value decomposition in DT-CWT domain

Robust Image Watermarking Based on singular value decomposit...

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IEEE International Workshop on Imaging Systems and Techniques (IST)

作者： Wei Cao Yixin Yan Shengming Li College of Measure-Control Technology & Communication Engineering Harbin University of Science and Technology Harbin China

This paper introduces a novel approach of watermarking for copyright protection applications using the singular value decomposition (SVD) in the dual tree complex wavelet transform (DT-CWT) domain. After applying the 2-level DT-CWT to the cover grayscale image, we apply the SVD to each high-pass subband obtained. The singular values in each subband are then modified by the singular values of the DT-CWT-transformed visual watermark. Modification in all subbands allows the development of a watermarking scheme that is robust to a wide range of attacks. Experimental results demonstrate that the proposed watermarking scheme is highly robust to various attacks.

关键词： Robustness Watermarking Singular value decomposition Discrete wavelet transforms Wavelet domain Discrete Fourier transforms Wavelet transforms Fourier transforms Discrete cosine transforms Protection

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An improved approach for moving object detection based on Markov random field

An improved approach for moving object detection based on Ma...

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International Conference on Green communications and Networks, GCN 2011

作者： Xu, Buyu Tang, Hao Zhou, Lei School of Computer and Information Hefei University of Technology Hefei 230009 China Engineering Research Center of Safety Critical Industry Measure and Control Technology Ministry of Education Hefei 230009 China

ISBN: (纸本)9789400721685

Due to utilization of the relativity of every pixel of an image, the Markov random field (MRF) model is effective in solving the problem of detecting moving objects under a complex background. In this paper, the bits-segmentation of inter-frame difference images is used as the label field of MRF, and the compatibility function related to such labels and the hidden states is provided, so that an improved detection method for moving objects is proposed based on MRF. Compared with the traditional MRF method, the proposed approach can avoid the threshold selection process for obtaining the label field, which is a sensitive issue that may affect the detection negatively. The experiment results show that this approach is more effective and has a better adaptability than traditional methods. © 2012 Springer Science+Business Media B.V.

关键词： Belief propagation

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