bluuebunny/crossref_metadata_2025 huggingface dataset:
A Uniform Magnetic Field Produced by Rectangular Coils
Authors: Hao Mo Si , Xiang Kang , Huang Qiang , Sun Wei Min , Zhang Jun Hai
Published: September 2013

To produce a better uniform magnetic field along the direction of light propagation in studying magnetometer, a pair of rectangular coils are used instead of traditional Helmholtz coils. In this work, the magnetic homogeneity in the center of the rectangular coils is calculated and discussed theoretically. We measured the magnetic field distribution along the light propagation direction of the coils in experiment proving that the field has the relative fluctuation less than 1% in the range of 30cm along the direction.
Appearance Model Based Moving Object Matching across Disjoint Camera Views
Authors: Yu Kong Shuai , Hu Dong
Published: September 2013

A new object tracking scheme for multi-camera surveillance with non-overlapping views is proposed in this paper. Brightness transfer function (BTF) is used to establish relative appearance correspondence between different views. Mixtures of probabilistic principal component analysis (MPPCA) is incooperated to learn the subspace of brightness transfer function with the concern to deal with multiple different brightness areas in a scene. The incremental major color spectrum histogram (IMCSH) is used as similarity measure for reliable matching. Experimental results with real world videos show the effectiveness of the proposed algorithm.
Design a Modified Michelson Interferometer for THz Spectrum Measurement
Authors: Lin Xu Ling , Li Huan , Zhang Jian Bing , Dai Zhi Min
Published: September 2013

In this paper, a modified Michelson interferometer is designed to measure Terahertz spectrum. Compared with normal Michelson interferometer, hollow retroreflectors are used instead of flat mirrors as reflective mirrors. The theory analysis and some measurement are given.
Energy Saving Design Principle Analysis of Power Electronic Transformation System
Authors: Wan Tao
Published: September 2013

Power electronic transformation system is applied widely in industrial control and the application environment is complex. Big, small and medium-sized system power consumption improves continuously, so it is urgent to reduce the system energy consumption problems. This paper proposes a way to reduce the energy consumption of power electronic transformation system based on genetic algorithm. Work frequency regulation and working voltage measurement technology are used in industrial control system and the voltage and frequency produced by system power consumption are calculated. Genetic algorithm is used to calculate the optimal solution. And then achieve the purpose of reducing energy consumption. Experimental results show that this control algorithm can effectively reduce the power consumption of power electronic transformation system in industrial control and has a good effect.
Study on the Preparation and Implementation of a New Type Digital Electronic Thermometer
Authors: Tao Ping Jun , Yang Sheng Zhou , Yang Yuan Zheng , Chen Xian Chao , Yu Ye Qiu
Published: September 2013

Human body temperature, as a manifestation of life activity, is an important physiological parameter of the new supersedes the old. The body temperature not only has physiological significance, but also has important clinical significance, which can be considered as an important index for clinical diagnosis. Based on the NTC temperature sensor as the core, through the whole system framework construction and the software control system design, a quick and accurate intelligent digital electronic thermometer was prepared. Under software control, intelligent temperature measurement is realized. The thermometer not only can accurately register the temperature, also has many functions such as broadcast and logic judgment on temperature, in which, the display module will judge and display the measurement results.
Study of Mesa Etching for Infrared Detector Based on InAs/GaSb Superlattice
Authors: Guo Jie , Hao Rui Ting , Zhao Qian Run , Man Shi Qing
Published: September 2013

InAs/GaSb superlattice in infrared detector was grown on GaSb substrates by molecular beam epitaxy technique. Using inductively coupled plasma (ICP) etching technique and Cl2/Ar etching gas, the smooth mesa of the device was formed. The influence of etching time, Cl2 percent and RF power on the etching rate and the surface morphology of InAs bulk, GaSb bulk materials and superlattice were studied. It showed that the etching rate of InAs was lower than that of GaSb and the etching surface was smooth at Cl2 in the range of 20%~40%. The results will benefit to forming ohm contact and decrease surface leakage current in the photovoltaic detector.
Study of Palm Vein Imaging Based on NIR
Authors: Wu Wei , Song Hui , Su Ke
Published: September 2013

Palm vein pattern recognition is one of the newest biometric techniques researched today.
In order to reduce the recognition calculation and increase the recognition accuracy, the region of interest (ROI) in the palm vein image must be selected. There are three areas on the palm: the center area of palm, the thenar area and the hypothenar area.This paper does contrast experiment of light absorption on the three area of palm. The experiment result is the thenar area is selected as the main scope of ROI.
Semi-Distributed Power and Subcarrier Allocation in LTE Hetnet System
Authors: Su Li Ping , Chen Dong , Huang Wei Hua
Published: September 2013

In order to provide the large coverage and high data rate in future system, more and more low power nodes (LPNs) e.g., pico nodes, relay nodes, etc., are introduced into the LTE heterogeneous network (HetNet). The resource allocation and optimization scheme is the key issue in Hetnet system since the interference environment is quite complicated compared with the traditional homogenous networks. In this paper, the semi-distributed power and subcarrier allocation scheme is proposed, which aims to achieve the good performance tradeoff between the macro eNBs and the pico nodes. One novel utility function is investigated taking both macro edge UEs and pico edge UEs into account based on limited average data rate information exchanges between macro eNB and pico eNBs. The interference for the edge UEs can be coordinated efficiently due to the dynamic power and subcarrier allocations. Compared with the proportional fairness (PF) scheduling algorithm, the simulation results show that the proposed semi-distributed scheme can achieve about 8% throughput gain in average cell throughput. Furthermore, the pico edge UEs, and macro edge UEs of the proposed scheme can achieve 17%, 12% capacity gain, respectively.
Design and Implement of Large Dimension Matrix Transpose Based on DDR3 SDRAM
Authors: Zhang Duo Li , Yang Yong , Song Yu Kun , Du Gao Ming
Published: September 2013

Matrix-Transpose is one of the most basic matrix operation. The Corner Turning Matrix (CTM) is a very important part of the real-time image system. In the radar real-time image system, transpose is needed to do in the distance compression and the azimuth compression. The speeds, reading and writing, of the traditional transpose algorithm arent match, for reading operation with low efficiency. In this paper, a Block CTM algorithm based on DDR3 SDRAM is dedicated and used in the real-time image system. Through the contrast between the traditional transpose algorithm and the Block CTM algorithm, the proposed method improves the efficiency of the radar real-time image system greatly.
Staff Line Removal Algorithm and Research Based on Run-Length Graph Slice and Topological Structure of Music
Authors: Yang Yin Xian , Zhao Li , Zou Cai Rong , Yang Yin Xian
Published: September 2013

Staff line removal is a key step before segmentation and recognition of music image and plays an important role in OMR (Optical Music Recognition) research, the result of staff line removal directly influences the performance and function of the whole OMR system. However, over-removal and under-removal often occurs in the processing and leads to the low efficiency of music recognition rate. So, in order to solve the arduous problem, an approach based on run-length graph slice and topological structure of music is put forward by careful analysis of staff line and music notation structure. Experience results show the validity and practicality of the presented algorithm fast and effectively.
The Design of High Speed and Parallel Convolutional Encoder Based on FPGA
Authors: Liu Yan Yan , Gao Yin Han , Chen Guang Qiu , Wang En Guo
Published: September 2013

For the channel source of large capacity image data, the error correcting capability and coding efficiency of channel encoding is very important, in order to solve the real-time and parallel of encoding, a kind of code encoding method realized easily by FPGA is proposed. First, the coding principle of the convolutional code is introduced in detail; Secondly, the representation method of the convolutional encoder is elaborated, including the state transition diagram and the grid diagram of the convolutional code; Then, the convolutional encoding algorithm based on FPGA will be converting to achieve rapid, parallel processing method; Finally, (2,1,7) convolutional code algorithm is simulated and tested. The experimental results show that: the convolutional encoding module is capable of handling the input data stream of up to 160Mbps, processing speed, to meet the parallel and real-time of convolutional encoding for the channel source of large capacity image data, to improve the efficiency of convolutional encoding.
Multi-Thresholding Based on Symmetric Tsallis-Cross Entropy and Particle Swarm Optimization
Authors: Yin Jun , Wu Yi Quan , Zhu Li
Published: September 2013

Multi-thresholding is an important step for automatic image analysis. In this paper, a multi-thresholding method based on symmetric Tsallis-cross entropy and uniform searching particle swarm optimization (UPSO) is proposed. The criterion function using symmetric Tsallis-cross entropy can make the grayscale within the background cluster and the object cluster uniform. Since the exhaustive multi-thresholding algorithm would be too time-consuming, UPSO algorithm is adopted to find the optimal thresholds quickly and accurately. A large number of experimental results show that, compared with related multi-thresholding methods based on Shannon entropy and Tsallis entropy, the proposed method is effective and rapid. It can obtain more accurate boundary shape and clearer details of object.
Segmentation of Marine Spill Oil SAR Image Based on Gabor, Krawtchouk Moments and KFCM
Authors: Zhu Li , Wu Yi Quan , Yin Jun
Published: September 2013

To further improve the accuracy of SAR image segmentation in the marine spill oil detection, a segmentation method of marine spill oil images based on Gabor, Krawtchouk moments and KFCM is proposed in this paper. Firstly, the marine spill oil image is decomposed by Gabor transform to obtain the texture features of image. Then, the Krawtchouk moments are applied to extract the shape features of image. Finally, the image segmentation is achieved based on KFCM. A large number of experimental results show that, compared with the related segmentation methods such as Tsallis entropy threshold method,CV model method and the method based on Gabor, Krawtchouk moments and FCM, the proposed method can achieve better result.
10Gbps VCSEL Driver in 0.18μm CMOS Technology
Authors: Yu Bing Liang , Chen Ji , Li Wen Yuan
Published: September 2013

A monolithically integrated 10Gbps Vertical Cavity Surface Emitting Laser (VCSEL) current driver is implemented in SMIC 0.18μm RF CMOS technology. High current driving capability as well as agile switching speed is achieved by shunt peaking technique and cascade structure. Test result shows that the driver can drive the common anode VCSEL well working at 10Gbps, and delivers 9.7mA modulation current. With single 1.8V power supply, the core power consumption is 22.5mW and the die size is 800μm×500μm.
Research on Path Recognition System of Intelligent Vehicle Based on Neural Network
Authors: Pan He , Li Tai Hao
Published: September 2013

This paper studies on the path recognition system of intelligent vehicles, and makes classification and feature extraction of road. By using the BP neural network it makes the analog simulation, and through the training of network structure, it tries to establish network structure which can reflect the input road sample and the specified road type mappings, and then to realize the automatic identification of road type.
A Reliability Assessment Method of Fiber Optic Gyro
Authors: Huang Ping , Guo Shao Bin
Published: September 2013

Erbium-doped fiber source for Fiber Optic Gyro (FOG) uses doped fiber to produce super fluorescence with laser pumping. It has higher output power, wide spectral lines, lower temporal coherence, good temperature stability and long life, which are perfect source for high precision FOG. To solve the problem of reliability analysis of erbium-doped fiber source for FOG with zero failure data, Weibull distribution is chosen as the life distribution model of erbium-doped fiber source on basis of the failure mechanism analysis in this paper. And Bayesian theory is used to estimate the failure rate in different time with zero failure data, then the parameters of the life model are estimated to get reliability index of erbium-doped fiber source. The method greatly decreases the number of test samples because of Bayesian estimation has take advantage of experience information, and also, it overcomes the shortcoming of relying on failure data when using traditional reliability assessment methods. So it has great value on project application.
The Location of Cancer Area Based on Region Growing Algorithm in Medical Image
Authors: Wang Jing Jing , Song Xiao Wei , Fang Mei
Published: September 2013

Image segmentation in medical image processing has been extensively used which has also been applied in different fields of medicine to assist doctors to make the correct judgment and grasp the patient's condition. However, nowadays there are no image threshold segmentation techniques that can be applied to all of the medical images; so it has became a challenging problem. In this paper, it applies a method of identifying edge of the tissues and organs to recognize its contour, and then selects a number of seed points on the contour range to locate the cancer area by region growing. And finally, the result has demonstrated that this method can mostly locate the cancer area accurately.
Impervious Surface Information Extracting Approach Using Landsat TM Remote Sensing Image
Authors: Li Shi Wei , Yang Jason , Li Wei Na
Published: September 2013

In this paper, we present a new approach to improve extracting accuracy of impervious surfaces. One Landsat TM image of Taiyuan city, Shanxi Province of China was used. After doing test work and analyzing using optimum bands analysis, principal component analysis, and normalized difference impervious surface index, we present the method, optimized band combination. Both unsupervised and supervised classification methods were used to classify the original image, principal component analysis image, normalized difference impervious surface index image, and optimized band combination images we present. The accuracies result of these classifications were assessed by using 256 randomly selected sampling points, and it was found that the overall accuracy the accuracy of optimized band combination method can be reach 87.72%, with the Kappa statistic of 0.85 in impervious surface extraction, it was better than other three methods can get.
Cost-Sensitive Sparsity Preserving Projections for Face Recognition
Authors: Jing Xiao Yuan , Li Wen Qian , Gao Hao , Yao Yong Fang , Man Jiang Yue
Published: September 2013

As one of the most popular research topics, sparse representation (SR) technique has been successfully employed to solve face recognition task. Though current SR based methods prove to achieve high classification accuracy, they implicitly assume that the losses of all misclassifications are the same. However, in many real-world face recognition applications, this assumption may not hold as different misclassifications could lead to different losses. Driven by this concern, in this paper, we propose a cost-sensitive sparsity preserving projections (CSSPP) for face recognition. CSSPP considers the cost information of sparse representation while calculating the sparse structure of the training set. Then, CSSPP employs the sparsity preserving projection method to achieve the projection transform and keeps the sparse structure in the low-dimensional space. Experimental results on the public AR and FRGC face databases are presented to demonstrate that both of the proposed approaches can achieve high recognition rate and low misclassification loss, which validate the efficacy of the proposed approach.
Kernel Feature Extraction Approach for Color Image Recognition
Authors: Jing Xiao Yuan , Li Kun , Wu Song Song , Yao Yong Fang , Wang Chao
Published: September 2013

Color Image Recognition is one of the most important fields in Pattern Recognition. Both Multi-set canonical correlation analysis and Kernel method are important techniques in the field of color image recognition. In this paper, we combine the two methods and propose one novel color image recognition approach: color image kernel canonical correlation analysis (CIKCCA). Color image kernel canonical correlation analysis is based on the theory of multi-set canonical correlation analysis and extracts canonical correlation features among the color image components. Then fuse the features of the color image components in the feature level, which are used for classification and recognition. Experimental results on the FRGC-v2 public color image databases demonstrate that the proposed approach acquire better recognition performance than other color recognition methods.
Distributed Fusion Kalman Self-Turning Filter
Authors: Zhang Ming Bo
Published: September 2013

This paper puts forward an optimal and distributed fusion Kalman filter based on the Riccati equation, optimal and distributed fusion The Kalman filter has fewer calculated dimensions and less calculated amount than the centralized global optimal Kalman filter. Therefore, it has greater effect in the practice. Present the distributed local self-correcting Kalman filter at the same time. The simulation examples showed its validity.
The Research of Semantic Web Service Matching Algorithm Based on the Formal Concept Analysis
Authors: Li Ying Fang , Li Ying Jiang , Li Yan , Bo Yang
Published: September 2013

At present, as the number of web services resources on the network drastically increased, how to quickly and efficiently find the needed services from publishing services has become a problem to resolve. Aiming at the problems of low efficiency in service discovery of traditional web service, the formal concept analysis ( FCA) is introduced into the semantic Web service matching, and a Matching Algorithm based semantic web service is proposed. With considering the concept of limited inheritance,this method introduces the concept of limited inheritance to the semantic similarity calculation based on the concept lattice. It is significant in enhancing the service function matching in practical applications through adjust the calculation.
Design and Implementation of Intelligent Distance Education Platform
Authors: Li Xiao Ping , Liu Feng , Wang Xiao Jun , Zhao Feng Nian
Published: September 2013

Intelligent distance education platform needs to construct an open distance education support service system, which is in close contact with network curriculum development and teaching management system, can support various teaching organization forms and teaching methods, can be applied to each link of the network teaching, has good humancomputer interaction function, can provide various services. Proceeding from the hardware topological structure required by the platform, this article elaborates the Intelligent distance education platform design and implementation process comprehensively.
Single Point Blow-Up and Regional Blow-Up of Solutions for a Degenerate Semilinear Parabolic Equation
Authors: Meng Yong Ding , Peng Cong Ming
Published: September 2013

Let. This article considers the following degenerate semilinear parabolic initial-boundary value problem,
where be constants. We obtained the blow up set and find the conditions of single point blow-up.
A Planning Algorithm with Temporal Constraints in the Working Procedures
Authors: Chai Xiao Long
Published: September 2013

Temporal planning is a broad research area in automated planning. In most real-world applications such as the problems of working procedures planning, many real planning problems often require the planning goals can be satisfied in shorter time and some temporal constraints should be satisfied in the planning answer. In this paper, the ant colony algorithm under the temporal constraints is presented which with the heuristic control rules and the evaluation tactics in the framework of the ant colony planning algorithm. The searching way of the algorithm has the character of global and parallel. And it has the ability of convergence acceleration in the solution searching.
Fast Tabu Search Algorithm for Capacitated Vehicle Routing Problem
Authors: Ren Chun Yu
Published: September 2013

This paper studies the capacitated vehicle routing problem. According to the characteristics of model, fast tabu search algorithm is used to get the optimization solution from the overall situation. Firstly, it designs three operations for fastening the speed of convergence and efficiency. Finally, the good performance of this algorithm can be proved through a set of standard test problems.
A Modular Approach of Computer Support Cooperative Work System
Authors: Xu Hong Xue , Zhang Dong Mei , Xu Ming Tong
Published: September 2013

A modular approach of computer supported cooperative work system is proposed which based on the hierarchical structure characteristics of distributed cooperative system and the advanced component technology. The key of this approach is regarded the module as core to organize and manage cooperative objects and used the CORBA specifications as an interactive platform to achieve the object communication. The browser/server computing model is used in this approach to deal with remote heterogeneous cooperation problem and the mechanism of cooperation is separated so as to facilitate the application of a distributed cooperation environment for quick implementation. The goal is to provide an open framework for computer supported cooperative work system developers, which can support the implementation of distributed cooperative work to improve system development time. The modular approach of computer supported cooperative work system and its implementation has been achieved in the prototype system MCSCDS.
Harmony Search Optimization Algorithm Based on Normal Cloud
Authors: Wang Li Fu , Kong Zhi , Wang Xin Gang
Published: September 2013

The pitch adjusting rate (PAR) is an important parameter in harmony search algorithm, which indicates that the algorithm will choose a neighboring value with a probability. The traditional harmony search algorithm uses fixed value for PAR. However, PAR should be increased when all objective values are centralized and decreased when the function values are scattered in the solution space. In this paper, a new cloud harmony search algorithm (CHS) is proposed. We introduce cloud model theory to adjust the value PAR in the harmony search to improve the global search ability and make faster convergence speed of the algorithm. The improved harmony search algorithm is tested on some benchmark functions and the results are compared with the result of the traditional harmony search. Experimental results indicate that the improved harmony search algorithm has a good performance in the global search ability and convergent speed.
Numerical Simulation for Free Rolling Motion of a Surface Vehicle
Authors: Wan Xiao Wei , Wang Tao , Yao Xin Min
Published: September 2013

To study seakeeping capacity of a special surface vehicle, free rolling motion in static water is investigated; damping coefficient and rolling moment of inertia was taken as criterion; a mathematical model for 6-dof motion of the vehicle in viscous flow is constructed based on N-S equations and rigid body space motion equations. Forces and moments induced by flow around vehicle are computed from cells of surface on the vehicle. Local remeshing scheme is taken to remesh the field when position of the vehicle changed. Surface of vehicle is taken as non-slip wall boundary. Results indicate that damping coefficient and rolling moment of inertia deduced form computation coincide with experimental results.
Nearby Phase Search Algorithm with Reduced Complexity for Higher Order QAM Formats
Authors: Xia Li Min , Zhou Xian , Yan Dong , Zhang Na Na , Wu Xiao Yun
Published: September 2013

This paper proposes a nearby phase search (NPS) algorithm based on BPS estimation algorithm in optical coherent receivers. And its suitable for arbitrary multi-level modulation. Making use of the continuity of phase change, the proposed NPS algorithm is applied to process nearby symbols by taking the pre-estimation phase of each symbol block as reference point. Compared to the traditional blind phase search (BPS) algorithm and its improved two-stage BPS algorithm, the performance of the proposed NPS algorithm is greatly improved in ultra-high speed coherent optical transmission system. By the simulation, the effectiveness and feasibility of the proposed algorithm are demonstrated in 28GBaud 16-QAM and 64-QAM system. Its shown that the computational complexity of the NPS algorithm greatly reduces in the guarantee of laser line width tolerance and bit error rate.
A Infrared Small Moving Object Extraction Method in the Context of Complex Background Motion
Authors: Zhang Lu Ping , Li Biao , Wang Lu Ping
Published: September 2013

The detection of small moving target in the context of complex background is a difficult issue. A method combining interframe differential registration and adaptive wiener filtering aimed to suppress background to detect moving object in complex background is proposed. The fixed background in the fore-and-aft frames can be filtered out by the interframe registration which preserves the moving target, parts of background and noise due to interframe movement and the gray-scale fluctuation. On one hand the complex background is estimated by an adaptive wiener filter, and the background suppression leaves the high-frequency regions containing the moving target in image. On the other hand, most of the high-frequency regions corresponding to non-target area are eliminated by the inter-frame registration in the differential images. The motion of target is continual in image sequences, while the position of the leaked background is relatively fixed and the noise is of small size. The fusion of the background suppression and inter-frame registration makes the discrimination of targets, background and noise possible. The small moving target is detected by trajectory association based on its interframe trajectory continuity. Experiment results verify the feasibility of the method.
Coordination Algorithm Design of the Distributed Storage Proxy Servers for Streaming Media
Authors: Zhi Xi Hu , Zhi Ai Di
Published: September 2013

For streaming media proxy server systems which are geographically far apart, distributed streaming media proxy server clusters can be a good solution to reduce upward bandwidth consumption, shorten access distance, and improve service capacity; the key is to solve the coordination problem among the proxy servers. The decision problem of the user request dispatch actually belongs to NP-complete. This article proposes an online coordination algorithm for the distributed storage streaming media proxy servers, and discusses the relative deviation of the approximate solution from the optimal solution, to serve as a reference to the specific applications of clustered streaming media proxy servers.
Accelerated Compression Algorithm Based on Factoring Repeated Content
Authors: Tang Ying , Zhu Xi Huan
Published: September 2013

In this paper, we introduce the accelerated image compression method to reduce memory and bandwidth cost by factoring repeated content within images. Since the compression procedure costs much time to search for the similar regions, we adopt the feature descriptor Gray Split Rotate (GSR) to accelerate the self-similarity computation. The self-similarity computation is partly transformed into the comparison of the distances between feature descriptors. And we find that the computations of GSR distances of each feature descriptors are independent with each other. By the use of GPU parallel computing power, we filter out a huge amount of unmatched candidates. In our experiments we improve the speed of the compression process by one order of magnitude and meanwhile still preserve the quality of the compressed image by reducing unnecessary candidates.
A Horizontal Segmentation Based Ontology Parallel Query Approach
Authors: Hu Luo Kai , Cheng Yan Lin , Liang Chao
Published: September 2013

The performance of ontology query has become one of the bottlenecks of the large-scale bulk applications. Firstly OWL ontology files stored into the database in the form of triple table using Oracle 11g semantic technology. And then we designed and implemented the ontology parting method based on horizontal segmentation. Thirdly, several typical ontology query operations were achieved based on the multi-threading technology. Experimental results show that the parallel query methods described herein significantly improve query performance.
Study on Fog Attenuation Characteristics and Experiment Measurement for Laser Propagation in Atmosphere
Authors: Ao Jun , Xia Yun Zhi , Che Long , Zhang Tao , Ma Chun Bo
Published: September 2013

The availability of atmosphere laser communication systems in dependence on weather conditions and on atmosphere laser link parameters, such as transmitted optical power, beam divergence, or link path distance, is discussed. A number of phenomena in the atmosphere, such as fog, can affect beam attenuation. In this work, the analysis and simulation of the empirical models (like Kruse, Vasseur, etc) indicate that the predicted attenuation of those models is similar and the main attenuation factor of 532nm laser propagation in atmosphere is aerosol particle. Attenuation caused by fog, which can be expressed as a function of the link distance, wavelength, and meteorological visibility, is calculated from visibility data collected at several locations in Guilin. Statistical evaluation of the attenuation caused by fog and the power link margin calculated from atmosphere laser communication link parameters are used for calculating the link availability.
Packet Sampling Applications in Campus High-Speed Network Intrusion Detection System
Authors: Qiu Hui Qing , Wang Cong , Lu Jie
Published: September 2013

A technique of high-speed network intrusion detection system based on packet sampling theory is proposed. Starting with basic principles of packet sampling, this paper first analyses the significant mathematical conclusion of sampling strategies, then after discussing current strategies, mechanism and performance of different packet sampling methods, we specify an efficient strategy of packet sampling. Results show that this method can attain above 55% accurate rate with below 1% false rate in 94 specified attacking cases from DARPA 2000 IDS evaluation dataset.
The Research on Ethernet Ring Protection Switching
Authors: Chen Wei , Ren Jie , Huang Zhi , Yu Peng Fei , Yu Qiang , Sun Xiao Yan
Published: September 2013

TU-T has recommended a standardized scheme for achieving sub-50ms service protection in ring topologies through Ethernet Ring Protection Switching (ERPS) specified in G.8032 recommendation[. ERPS provides a means to reliably achieve carrier-class network requirements for Ethernet topologies forming a closed loop. This article outlines an Ethernet ring protection switching mechanism and explains how its automatic protection switching (APS) protocol works. In addition, this article illustrates a sample scenario with failure and recovery.
Flexible Recommendation System Based on the Contents of Emergency Plan
Authors: Wang Li Zhi , Fang Zhen , Zhang Ying , Liu Ying , Dang De Peng
Published: September 2013

Due to the emergency plan format information characteristics is stronger and more easily to gain the complete content description, so this paper puts forward the recommendation algorithm of emergency plan based on content filtering. This paper proposes the characteristics model of emergency plan and the user's interest model and designs the flexible recommendation interface for user interactive, so we can get the recommend results.
An Mixed Method Based on Video Sequences of Moving Object Detection
Authors: Dang Yuan Zhen , Zhao Hui , Lv Xian Guo
Published: September 2013

Aiming at detecting the moving targeting from video sequence, this paper proposes a mixed algorithm in video sequence based on the motion target detection. Combining the median filtering background modeling and the improved TemporalDifference method (MFTD) to detect the object which also use the self-adaptive threshold segmentation method to optimize moving object extraction, and at the same time, we introduce the gaussian filter and morphological filter to eliminate noise and improve the effect of moving region extraction. In practical engineering, the MFTD algorithm can extract the moving object regions accurately and effectively.
Research on the Individual Learning Process Model of the E-Learning System Based on Social Tags
Authors: Zhang Yuan , Feng Xia
Published: September 2013

In this paper, we believed that social tag is a new paradigm of resource organizing and sharing. It is a very suitable technology using in e-learning systems. We discussed with the learning process in the e-learning system based on social tags. We brought forward a new individual learning process model based on social tags. And we compared with the new learning process model and traditional process model. The new individual learning process model could improve the interaction between learners and between human and computers. The social tags could help the e-learning system build the learners preference model and knowledge model.
Information Hiding Algorithm Based on Two m-Sequences
Authors: Guo Fang , Duan Jia Yong , Jing Hao
Published: September 2013

According to the problem that the intelligence is not high of the soccer robot, using the mechanical theory as a guide, making some mechanical analyses and calculations on the pressure and transmutation states of chip kick mechanics, and conducting optimal design too, then making the structure of chip kick mechanics more and more rationalization. Experiments show that the new soccer robot controller features a quick response and high servo rigidity, and provide a kind of method for improving and perfecting the soccer robot control system, at the same time, filling the needs of producing.
Research and Application of the Workshop Scheduling Algorithm Based on the Rules
Authors: Ding Yong Shang , He Fu Nan , He Xu Ming , Zhu Liang
Published: September 2013

Traditional job shop scheduling running time length and complexity of large defects, the paper proposes a rule-based optimization algorithm, with the longest duration as a condition of relative rest or scheduling rules to optimize the scheduling operations. The scheduling rules to ensure that the process of the longest remaining duration is scheduled and Priority scheduling the process that has the shortest working hours while. By comparing the relative remaining duration, to solve the optimal solution for each part of the scheduling, So that the entire operation to the global optimal solution or near optimal solutions. And provide algorithms of the mathematical model, the model of algorithm, the flow chart of algorithm and the specific code of it. Practice shows that in the face of complex scheduling, this scheduling algorithm that can guarantee the computing speed, but also shorten the construction period and close to the optimal solution; in the actual project has a strong practical value.
An Approach of Advanced Optimistic Protocol Based on Time Dams
Authors: Zhang Zhong Jie , Huang Jian , Wang Zhi Jia
Published: September 2013

Time Synchronization is a key technique which synchronizes the LPs (Logic processes) of PDES (Parallel and Discrete Event Simulation). After having described shortcomings of the existing algorithms for Time Synchronization, this thesis mainly proposes a new approach based on time dams. It introduces the concept of Time Dams Algorithm and presents its realization. Moreover, the performance of TD (Time Dams) Algorithm is compared with the one of TW (Time Warp) Algorithm through the use of PHOLD model in experiments. Finally, the experiment results state that TD performs better than TW under most conditions.
Three Conjectures about the Number Systems and their Conversion
Authors: Zhang Yan Hong
Published: September 2013

The conversion between Tetrad Notation and other notational systems has attracted peoples attention; addition conjecture: if the maximum digit of base-N notation is (N-1), then (N-1)+(N-1) is a binary digit, whose most significant digit is 1 and least significant digit is (N-2); multiplication conjecture: if the maximum digit of base-N notation is (N-1), then (N-1)*(N-1) is a binary digit, whose most significant digit is (N-2) and least significant digit is 1; simple conversion conjecture: given, the radix of two sorts of number system N1,N2 are R1 ,R2 respectively, i is an integer greater than 2 or equals to 2, so if R1 = R2 i , then some relatively simple relationship of conversion exists between these two number systems.
Numerical Simulation of the Protection System of Explosive Reaction Armor
Authors: Chu Wen Hua , Zhang Aman , Yao Xiong Liang
Published: September 2013

There are some extreme conditions in the process of metallic jet penetrating the explosive reaction armor (ERA), such as high instantaneity, large deformation, et al. Based on the smoothed particle hydrodynamics (SPH) method, the generalized density approximate formula is proposed and the Held criterion is introduced. Then the numerical SPH model of metallic jet penetrating the explosive reaction armor is built to study its protection mechanics. The calculation result meets well with the theoretical value. The influences of some parameters, such as thickness of plate and attacking angle, on the protecting effect of explosive reaction armor are analyzed, aiming at providing references for the related engineering application.
Self-Adaptive Particle Swarm Optimization Algorithm with Mutation Operation Based on K-Means
Authors: Wang Xue Mei , Guo Yi Zhuo , Liu Gui Jun
Published: September 2013

Adaptive Particle Swarm Optimization algorithm with mutation operation based on K-means is proposed in this paper, this algorithm Combined the local searching optimization ability of K-means with the gobal searching optimization ability of Particle Swarm Optimization, the algorithm self-adaptively adjusted inertia weight according to fitness variance of population. Mutation operation was peocessed for the poor performative particle in population. The results showed that the algorithm had solved the poblems of slow convergence speed of traditional Particle Swarm Optimization algorithm and easy falling into the local optimum of K-Means, and more effectively improved clustering quality.
Graph Colorings Applied in Scale-Free Networks
Authors: Yang Chao , Yao Bing , Wang Hong Yu , Chen Xiang'en , Yang Si Hua
Published: September 2013

Building up graph models to simulate scale-free networks is an important method since graphs have been used in researching scale-free networks and communication networks, such as graph colorings can be used for distinguishing objects of communication and information networks. In this paper we determine the avdtc chromatic numbers of some models related with researching networks.
Circular Arc Gear Reliability Study Based on Modified FOSM Method
Authors: Li Zhong , Cheng Bo Yu
Published: September 2013

As different limit state functions are used to analyze reliability, there is a great distinctness among the calculated results. In this paper an improved LOSM method is proposed, namely, checking point method. The circular arc gear case is employed to demonstrate this method. In contrast to the results of Monte Carlo simulation, this method can greatly improve reliability calculations precision.
The Application of Fuzzy Clustering Number Algorithm in Network Intrusion Detection
Authors: Guo Lang
Published: September 2013

In view of the defects of K-means algorithm in intrusion detection: the need of preassign cluster number and sensitive initial center and easy to fall into local optimum, this paper puts forward a fuzzy clustering algorithm. The fuzzy rules are utilized to express the invasion features, and standardized matrix is adopted to further process so as to reflect the approximation degree or correlation degree between the invasion indicator data and establish a similarity matrix. The simulation results of KDD CUP1999 data set show that the algorithm has better intrusion detection effect and can effectively detect the network intrusion data.
Microscopic Analysis for the Role of Laser to the Seeds of Erigeron Breviscapus (Vant)Hand-Mazz
Authors: Zhang Li Li , Tian Jia Jin , Zhang Hong Wei , Zhang Can Bang , Zhang Ju Cheng , Yao Xiang Hua , Wang Shen Yu
Published: September 2013

From the point of view of quantum mechanics, Harmonic oscillator model was established for analysis of the microscopic mechanism for effect of the laser to the Seed of Erigeron breviscapus (Vant.)Hand.-Mazz. The energy levels of the protein molecule can be reduced by laser radiating seeds which increased the transition probabilities and to advance the activity of the seeds. The protein single non-harmonic oscillator model was built for further research, and the chemical reaction rate formula of protein molecules by laser radiation was obtained. Its explained the laser stimulation and inhibition to the seeds which is the energy unidirectional response.
The Research of Improved Apriori Mining Algorithm in Bank Customer Segmentation
Authors: Yang Gong Xin
Published: September 2013

The This paper studies bank customers segmentation problem. Improved Apriori mining algorithm is a kind of data mining technology which is an important method in bank customers segmentation. In practical application, the traditional algorithm has shortcomings of the initial values sensitive and easy to fall into local optimal value, which will lead to low accuracy rate of silver class customer classification. According to the shortcomings of traditional algorithm, this paper puts forward a bank customer segmentation method based on improved Apriori mining algorithm in order to improve the bank customer segmentation accuracy. Experimental results show that the algorithm can effectively overcome the traditional algorithms shortcomings of easy to fall into local optimal value, improve the customer classification accuracy, make mining results more reasonable, lay down different customer service strategies for different client base, improve effective reference opinions of bank decision makers, and bring more benefits for the bank.
Ultra-Wideband (UWB) Bandpass Filter Using Multi-Mode SIR
Authors: Xiao Jian Kang , Zhu Wu , Li Yong , Zhao Wei
Published: September 2013

New ultra-wideband (UWB) bandpass filters are proposed by using stepped-impendence resonators (SIRs) and stub-loaded SIRs, aiming at transmitting the signals in the whole UWB passband of 3.1GHz-10.6GHz. Each of the proposed UWB filters consists of two parallel but oppositely arranged compact SIR with tri or quad-section or stub-loaded SIR. In the design, the first two or three resonances of the proposed resonators are properly adjusted to be placed within the UWB. In order to enhance the coupling degree, pairs of quarter-wavelength parallel-coupled lines are longitudinally stretched in both the input and output sides. The UWB bandpass filters behave multiple transmission poles and good return loss of no less than 15dB. A proposed UWB filter is fabricated and measured, and the experiment demonstrates the design.
Basic Study on Important Parameters of Spatial Filter Used in High Power Laser System
Authors: Nie Yu Mei
Published: September 2013

The focal length of the lens in the spatial filter should simultaneously satisfy the requirement of vacuum and the minimum spherical aberration. In order to filter the high frequency components, the divergence angle of the filter must be less than a certain value according to the system requirement. So the aperture of the filter hole used in the high power laser system is about 20 times of the diffraction limitation. At the same time, the scope of the location of the filter hole in the optical axis is reasonable as long as the location within the focal depth. In addition, the model was built by means of the optical design software to simulate validation. The simulation results show that the designed spatial filter according to the method presented in the paper can effectively filter out the high frequency components and stray light in the system.
A LMS-Based Equalization Algorithm for 28Gbaud PM-MQAM Optical Coherent System
Authors: Yan Dong , Zhou Xian , Xia Li Min , Wu Xiao Yun , Zhang Na Na
Published: September 2013

In this paper, we presented an improved equalization algorithm which use Least Mean Square algorithm (LMS) training-based as pre-convergence, after reaching the threshold, equalization switches to directed decision LMS to compensate a various of impairs and decrease bit error rate (BER) to achieve better performance in the steady-state, the experiment is based on a 28GbaudMQAM polarization multiplexing optical coherent system.
Applications of Photonic Crystals in Solar Cells
Authors: Hao Yu , Sun Xiao Hong , Jiang Liu Di , Zhang Xu , Wang Gao Liang
Published: September 2013

Photonic crystals have been widely applied to improve the efficiency of solar cells due to its capability to manipulate photon transmission. Both theoretical and experimental research have shown that photonic crystals can significantly improve the absorption and conversion efficiency of solar cells.Solar cells that have photonic crystals back reflectors, intermediate reflectors, and window layers have higher photoelectric conversion efficiency. In this paper, the state-of-the-art applications of PCs in solar cells are summarized. Various fabrication methods for photonic crystals and their associated performance are discussed.
Stability Condition of a Haken-Lorentz Equation with Self-Feedback Light Field
Authors: Sun Li Cheng , Wu Zheng
Published: September 2013

A Haken-Lorentz equation with self-feedback light field as well as its stability condition were gained through a series of mathematic process, and the stability judgements of the equation under 6 groups of parameters were gained using the stability condition, then a MATLAB simulation was carried out on the equation and the movement orbits of the equation were gained. It shows that when the stability condition gives a stable judgement, the movement orbit in the mathematic simulation is a single helix ends in a stable point, which shows that the simulation results are stable too; when the stability condition gives an unstable judgement, the movement orbits in the mathematic simulation are two chaotic helixes, which shows that the simulation results are unstable too. The judgements which result from the stability condition are consistent with the MATLAB simulation judgements, which shows that this stability condition can be a criterion of the Haken-Lorentz equation with self-feedback light field in some parameter ranges.