bluuebunny/crossref_metadata_2025 huggingface dataset:
Ant Colony Optimization Applied to the Three Gorges Ship Lock Arrangement Optimization
Authors: Liu Rui Jie , He Dan Dan , Wang Li Juan , Xu Hong Yu
Published: March 2014

The Three Gorges ship lock is an important part of the Three Gorges project, its completion and using have greatly improved transport conditions of the Yangtze River. With the development of the Yangtze River shelter-forest economy and water transport, the great pressure has been brought to the Three Gorges ship lock, the "bottlenecks phenomenon" of the Three Gorges ship lock is prominent increasingly. In order to improve the navigation capacity of the Three Gorges existing ship lock, and ensure navigation pass through ship lock to be convenient, safe, smooth and orderly, based on analyzing the navigation capacity of the ship lock and its main influencing factors, this paper establish ant colony optimization model for the ship lock arrangement, meantime to design and implement the corresponding algorithm. Computational results show that the application of the ant algorithm to the ship lock arrangement optimization is effective, and it offers a new way to solve this kind of optimization problem, moreover, it also offers technical support for improving the navigation capacity of the Three Gorges existing ship lock.
Optimization Design of Engine Mounting System
Authors: Zhou Bin
Published: March 2014

This paper studied the original rubber suspensions, which found that the original rubber suspension has high transfer ratio, not conducive to energy attenuation. In view of this situation, redesigned of the new rubber suspension, the new rubber suspension was studied by 3D numerical analysis, the results show, the new suspension on the structure and mechanical properties can meet the needs of the engine. The new suspension and the original suspension are doing the contrast test, the results show, the new suspension has the low transmission rate, and transmission rate increases with the speed change relatively flat, which to improve the comfort of the car.
Rainfall Characteristics Joint Regionalization Based on MST-Clustering Algorithm for Rain Attenuation Prediction
Authors: Zhang Yu Long , Zhang Jian
Published: March 2014

Rain attenuation prediction model of earth-satellite link, based on numerical weather forecast (NMF) statistics, require regionalization synthesizing the precipitation, rain-top height , and rainfall pattern (or time distribution) information, which ITU regionalization ignored. Thus, based on theMST-Clustering regionalization of average precipitation,themean delta binary(MDB)codingis presented to record rainfall pattern information, andRainfall Characteristics Joint Regionalizationis put forward to combine the precipitation and rain-top information. Finally, on the basis of Chinese meteorological monthly statistics, theRainfall Characteristics Region Mapis given, which is the essential step in the rain attenuation prediction model based on NMF statistics.
Parameterizations and Parameters Relations of Stable Distribution
Authors: Liu Chun Li , Chen Hai Long , Shao Lei , Wang Jun Ting , You Cheng Ji
Published: March 2014

For the problem of various non-Gaussian signals and noises have distinct spiky and impulsive characteristics in practice, which cannot be solved by Gaussian distribution, we focus on the Alpha stable distribution. This paper firstly sets forth the representation of standard parameterization, and gives some properties in this parameterization. Secondly, define a representation of the parameterization for the purpose of being suitable for numerical calculation and modeling, clears the meaning of each parameter, finds relations between parameters in these representations. Finally, analyze and prove the properties equally apply in this parameterization.
Visualizing Research of Construction of Planar Dynamic Systems with Truncated Fourier Series
Authors: Sun Yan Ling , Xu Qi Cheng , Sun Li Hua
Published: March 2014

The paper constructs the planar dynamic systems with truncated Fourier series. We propose a method to generate planar tiling images of the iterative mapping with truncated Fourier series. It constructed the planar tessellations of planar dynamic systems with cyclic windows. The iterative mapping is constructed. Then we generate cyclic windows of the dynamic plane with these mappings. Filled-in Julia sets are created by generating the coordinates of any cyclic windows. The images in different windows are continuous. We can choose any cyclic windows as the basic computing region and stretch it into a square, which is transferred to the plane to compose the new form chaos attractor and filled-in Julia sets images in the Euclidian plane. Experimental results show the effectiveness of the proposed approach.
Path Planning under Dynamic Threat Environment
Authors: Ji Wan Feng , Xu Hai Feng , Wang Guang Yuan , Yang Xiang Hong
Published: March 2014

This paper studies the solution to combat aircrafts path planning problem in confrontational battle space. First of all, according to the dynamic movement characteristics of emergent threats, a path planning target function model is built based on dynamic threat; then based on the defects of basic genetic algorithm, a kind of improved genetic algorithm based on predatory search strategies is further designed; finally the model and the algorithm are tested effective by simulation verification.
Application of Modern Information Technologies on Growth Model of Poplar
Authors: Song Jian Wei , Wu Shuo Mei , Zhu Jie , Liu Xu Ning
Published: March 2014

In recent years the research on structure and efficiency mode of farmland shelterbelt are more, while the prediction models of the poplar are much less. The growth model is based on poplar growth and management, the development of information technology provides new methods for the research and evaluation of poplar growth model. All kinds of information technology are used to extract growth character parameters of poplar, and neural network and expert system is used to establish the relational models of the character parameters and production management of poplar, these models are used to provide the basis for the cultivation of poplar growth and management, which have important theory value and practical significance.
Atmospheric Resistance Perturbation Analysis of Spacecraft Orbit
Authors: Liu Hai Yang , Zhang Lan Ying , Li Chuang Fang
Published: March 2014

The variation rules of middle and high level atmosphere affected by sun activity are analyzed, and atmosphere resistance perturbation acceleration models of spacecraft orbit are deduced. Atmosphere resistance perturbation is simulated by STK, and the parameters of spacecraft orbit affected by atmosphere resistance are got at different situation of sun activity. Finally, the life of spacecraft orbit is calculated.
Pedestrian Evacuation Simulation Based on Dynamic Parameter Model with Friction
Authors: Jiang Xue Ling , Long Chao Yun , Qin Shui Jie , Wang Li Ping , Dong Jiang Hui
Published: March 2014

An expanded dynamic parameter model is introduced based on cellular automata. In this model friction is modeled quantitatively. The dynamic parameters including direction parameter and empty parameter are formulated to simplify tactically the process of making decisions for pedestrian evacuation. The pedestrian moving rule is modified by bringing in the conception of friction under high density, corresponding simulations of pedestrian evacuation is carried out. The improved model considers the impact of interactions among pedestrians on the evacuation process. Therefore, it is more accordance with actual circumstance than the original dynamic parameters model.
An Improved Hough Transform Algorithm Based on Pyramid Method
Authors: Ren Long , Liao Jia Wen , Cao Jian Zhong , Wang Hua , Zhao Xiao Dong , Meng Han
Published: March 2014

Hough Transform[has become a common method in the usage of line detection because of its robustness. It is important in computer vision and image analysis. Usually, the standard Hough transform method (SHT) transform the points in image space into parameter space and vote for all the possible patterns passing through that point. But, there are two serious problems in the standard method of line detection. The first is the high computation complexity and the second is the large storage requirements .In order to solve the two problems, this paper raise a fast-Hough transform algorithm base on pyramid algorithm. First of all we need to desample the primitive binary image with n times; and execute the Hough transform in the nth level image to get the parameter of straight line in this image, which is used in the n-1 level image. Finally we can get the parameter of lines in the primitive image. Experiments show that this method can extremely reduces the computational time.
Research on Fast Conversion of Large Complex Block Model in SURPAC to Three-Dimensional Numerical Grid in FLAC3D
Authors: Xiang Peng , Ji Hong Guang , Zou Jing
Published: March 2014

Existing numerical grid generation based on Surpac block model is inefficient when the grid quantity is large. This article obtains from the existing methods, summarizes the complete process, and adds the key details of it. By setting simpler nodes condensation algorithm, improving the problem of low conversion efficiency caused by the too large node number, achieving the fast effective conversion of Surpac block model to FLAC3D model by using C language programming. This new method has been used in building rock burst hazard analysis model of Ling-Long gold mine, which proves this modeling method is feasible and effective.
Multi-Objective Optimization Calibration of Spark Advanced Angle Based on NSGA-II Algorithm
Authors: Ba Hao , Qiu Bao Mei , Chen Pei Pei
Published: March 2014

Modern gasoline engine spark advanced angle calibration is a multi-objective optimization problem, commonly used genetic algorithm to solve this problem. However, the traditional genetic algorithm tends to local optimum probability of a larger, easy to fall into premature, this defect is likely to cause the solution is not the optimal solution set. To address this issue, the non-dominated sorting genetic algorithm II for the spark advanced angle optimization, through crowding distance maintain the diversity, overcome super individuals overgrowth, improved genetic algorithm post search results. Experimental results show the effectiveness of this method.
Ant Colony Algorithm Based on Improved Neural Network Algorithm and its Application
Authors: Zhang Qing Qing , Zhang Qian , Feng Yue Jiang
Published: March 2014

This paper mainly to the ant colony algorithm ant colony system (application pseudo-random proportional rules) and add adaptive learning, momentum BP algorithm of these three together was improved, established a hybrid algorithm, to a certain extent overcome the BP algorithm is easy to fall into local minimum value, slow convergence speed, and achieved satisfactory results. Generally speaking, the performance of BP network is composed of two components: the topology of the network and network learning algorithm. The topology of the network design especially hidden node number should be how to choose the number of neurons more reasonable there is no unified theory, the solution actual problem at present is more of the experience and the method of combining the test to determine the optimal number of hidden nodes. This paper mainly discussed the structure of neural network to determine later, network learning process problems.
An Improved BP Neural Network Algorithm and its Application
Authors: Chen Ming Jun
Published: March 2014

Back-propagation (BP) neural network algorithm is currently used most widely and grows fastest for its powful nonlinear simulation capability. However BP neural network is so easy to fall into local minima that it cant find the global optimum which limits its application in many fields. The paper, taking tax innovation teaching evaluation for example, advances a new evaluation algorithm based on improved BP neural network algorithm. Firstly an evaluation indicator system of tax major innovation teaching is designed through analyzing the specific characteristics of innovation teaching requirements. Secondly, in order to overcome the shortages of low convergence speed of original BP neural network algorithm, the paper improves BP algorithm through integrating BP algorithm and ant colony algorithm, ant improving the overall search method of integrated algorithm. Thirdly data from three universities are taken for examples to verify the validity and feasibility of the model and the experimental results show that the model can evaluate university innovation teaching practically.
Deconstructing Fiber-Optic Cables Using Pyrexia
Authors: Li Xiao Fang
Published: March 2014

Many computational biologists would agree that, had it not been for the essential unification of evolutionary programming and DNS, the emulation of e-business might never have occurred. After years of significant research into operating systems, we disprove the improvement of e-business, which embodies the key principles of hardware and architecture. In order to realize this intent, we use virtual theory to verify that journaling file systems and congestion control are rarely incompatible.
False Alarm and Missing Alarm Models of Multiple Bits Watermarking
Authors: Xiao Jun , Li Deng Yu , Leng Xiao Xu , Su Jiao Rao
Published: March 2014

False alarm and missing alarm are two of the most important performances for multiple bits watermarking systems. In this paper, we study false alarm and missing alarm probability models when multiple watermarks or multiple bits watermarks embedded. We derive the false alarm and missing alarm probability models for dither modulation from the detection principle of the detectors. The theoretical results are compared with the experimental results obtained in the case of random work and watermark, and the comparison validates the accuracy of the models, and it also shows that random work and watermark have little influence on the false alarm and missing alarm probabilities, and this is the same with the situation when only one bit watermark is embedded by DM.
Research on the Frequency Spectrum Management Method of VLF Based on the Propagation Prediction Technology
Authors: Zhou Jian Ping , Li Guang Ming
Published: March 2014

VLF communication is one of the most effective means to command underwater platform. The spectrum resource of vlf communication is limited, so it is very important for enhance the reliability of vlf communication to strengthen the vlf communication spectrum management. It makes use of the well prediction of the vlf frequency band, to establish the signal field predicting model and atmospheric noise statistics predicting model respectively, predicts the field of signal and noise level, and then calculated the signal-to-noise ratio (SNR). According to the SNR distribution we can determine the relationship of the optimal communication frequency, time and location of receiver. So the efficiency of spectrum management for vlf communication can be enhanced.
Study on Welding Spot Layout for a Car B-Pillar Based on the Welding Spot Fatigue Life
Authors: Cui An , Wang Zhi Yong , Chen Yong , Zhang Shi Zhan
Published: March 2014

Based on the structural characteristics of a car B-pillar, the scheme of equal spacing layout on the welding spot partitions is adopted as the initial welding spots layout. The same constraints and loads are conducted on the models with different welding spot spacing. The highest strain values are calculated and analyzed around the welding spot areas. The fatigue life of the welding spot is calculated via the all-strain-life prediction model. The changing rule of the welding spot fatigue life under different spot spacing is obtained by the method of curve fitting. The optimal layout of the welding spots for the B-pillar is gotten finally. The layout is verified feasibility by comparing with that of the original model.
Research on Speech Emotion Recognition Based on Weighted Euclidean Distance
Authors: Huang Chen Chen , Gong Wei , Fu Wen Long , Feng Dong Yu
Published: March 2014

As the most important medium of communication in human beings life, speech carries abundant emotional information. In recent years, how to recognize the speakers emotional state automatically from the speech is attracting extensive attention of researchers in various fields. In this paper, we studied the method of speech emotion recognition. We collected a total of 360 sentences from four speakers with the emotional statement about happiness, anger, surprise, sadness, and extracted eight emotional characteristics from these voice data. Contribution analysis method is proposed to determine the value of emotion characteristic parameters. We also have used the weighted Euclidean distance template matching to identify the speech emotion, got more than 80% of the average emotional recognition rate.
Design and Implementation of Contour Tracing Image Recognition System
Authors: Xiong Chun Hua , Zhou You Jie , An Gao Jun , Lu Chang Bo
Published: March 2014

Based on the existing contour tracing image recognition technology, combining the embedded system technology and the computer storage control technology, the author makes an integrated design, adopts the image processing chip, USB controller, the imaging sensor and other hardware circuits and develops an intelligent image system. The system can make real-time monitoring the size and change of millimeter-sized irregular target objects. Its applicable value in the fields such as intelligent monitoring of oil equipment, medical imaging and criminal investigation is very high.
Radar Echo Parameter Estimation Using Sparse Time-Frequency Analysis Method
Authors: Chen Hao , Guo Jun Hai
Published: March 2014

The echoes of pulse radar from maneuvering targets are amplitude modulation and frequency modulation (AM-FM) signal. At present, the methods of estimating parameters of AM-FM signal are time-frequency analysis method, empirical mode decomposition and empirical wavelet transform based adaptive data analysis methods. This paper takes the idea of intrinsic mode function in guessing the initial phase, and applies the newly developed sparse time-frequency analysis method in AM-FM signal parameter estimation. Simulation results show that the estimating performance of this method in AM-FM signal is good under different SNR and it has low computational cost, and this method is applicable in target acceleration and velocity estimation.
Method of Coal-Rock Boundary Recognition Based on Modal Analysis
Authors: Zhao Guo Rui
Published: March 2014

Coal rock boundary recognition is one of the core techniques to realize the automation of the fully mechanized coal face, however, this kind of technique has not been effectively resolved. We put forward a kind of coal-rock boundary recognition method based on the modal analysis, and through the theory analysis, we put forward the key parameters and recognition method for the coal rock boundary recognition. By using this method weve analyzed the vibration data from underground working face. The analyzing result indicates that this method could efficiently recognize the coal-rock boundary, which has provided a new and easily realizable method for coal-rock boundary recognition problem.
A Recognition Judgment Method of Isolated-Word Speech-Recognition
Authors: Zhang Yi , Li Xiao Song , Song Yang
Published: March 2014

Isolated-word speech-recognition system adopted the shortest distance of Dynamic Time Warping (DTW) to make recognition judgment, which has the disadvantage of high False Accept Rate (FAR), poor anti-noise and robustness. This paper proposes a new method based on DTW distance Threshold Estimation for recognition judgment. This method processes the maximum distance between template speech and training input speech multiplying adjusting coefficient, then plus noise DTW distance, which regard the final result as distance Threshold Estimation. At the time of doing speech recognition, if the distance between testing speech and template speech exceeds the Threshold Estimation, then the system will not recognize this speech. The experiment shows that this method can greatly improve the anti-noise and robustness performance of the Isolated-word speech-recognition system and solve the problem of high FAR.
Joint Estimation of Doppler and Multipath Time Delay of Wideband Echoes for LFM Pulse Radar Based on Fractional Correlation
Authors: Li Li
Published: March 2014

A new method based on fractional correlation theory for estimating the Doppler and multipath time delay of the wideband echoes for LFM pulse radar by only one pulse signal is presented. First, the Doppler is estimated by energy cumulation of multipath component based on fractional correlation transform. Then, an order-reduced signal is reconstructed combining the Doppler with the prior knowledge of the transmitted signal, and the echoes signal is converted to many single-frequency signals. Finally, the multipath time delay is obtained by the dechirping method. The method is adapted for low SNR noise, can restrain the affection of the cross-items, and has a high time-delay estimation resolution. Some computer simulations are given in this paper and the results show that the new method is valid.
The Study of Ancient Ceramics Sample Classification Based on Tree Diagram
Authors: Zhou Yong Zheng , Wei Jian , Zang Chen Qiang , Yu Qìng
Published: March 2014

In this paper, classification of 44 Jingdezhen ancient ceramics samples in previous dynasties was studied with the tree diagram method. The results of classification were got, and the classification effect was analyzed. In this paper, the research has certain reference value to ancient ceramics cultural relic identification.
Haze Removal for a Single Image Using Adaptive Template Dark Channel Prior
Authors: Zhang Jing , Dong Wei , Li Juan , Liu Xu Ning
Published: March 2014

In this paper, we propose an adaptive template method based on the dark channel prior. The method combines with the haze imaging model to haze removal for a single image. This method can effectively remove haze from a single input image. According to the characteristics of the image itself and the haze removal effect of the different template we divide the input image into flat region, edge region and texture region. Then, select the lager size template dispose the flat region and use midrange or minitype template dispose the edge region and texture area. Experimental results demonstrate that the proposed algorithm has very good performance for fog removal and retains the image details more effectively.
Entirely Blind Image Quality Assessment Estimator
Authors: Saifeldeen Abdalmajeed , Jiao Shu Hong , Liu Wei
Published: March 2014

Prior knowledge about anticipated distortions and their corresponding human opinion scores is needed in the most general purpose no-reference image quality assessment algorithms. When creating the model, all distortion types may not be existed. Predicting the quality of distorted images in practical no-reference image quality assessment algorithms is devised without prior knowledge about images or their distortions. In this study, a blind/no-reference opinion and distortion unaware image quality assessment algorithm based on natural scenes is developed. The proposed approach uses a set of novel features to measure image quality in a spatial domain. The extracted features which are from the scenes gist are formed using Weibull distribution statistics. When testing the proposed algorithm on LIVE database, experiments show that it correlates well with subjective opinion scores. They also show that the proposed algorithm significantly outperforms the popular full-reference peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) methods. Not only do the results reasonably well compete with the recently developed natural image quality evaluator (NIQE) model, but also outperform it.
Research about Secure Communication Based on Fourth-Order Hyper-Chaotic System
Authors: Nie Chun Yan , Tian Hua , Sun Hai Xin
Published: March 2014

In this paper, we propose a new secure communication synchronization system which exploits the combination of the fourth-order hyper-chaotic system and the synchronization theory. We study the fast encryption and decryption methods of the images and the performance analysis of the secure communication based on the hyper-chaotic system. The simulation results show that the proposed hyper-chaotic secure communication generates the unpredicted pseudorandom sequences which have greater complexity and better randomness characteristics comparing to the traditional chaotic encryption schemes. Furthermore, it has larger key space and higher safety performance. Since the proposed system provides a new thought for the synchronization problems of the hyper-chaotic system, it is regarded as a potential scheme for resisting the popular attack means.
Application of Chaos Characteristics about Physiological Signals in Emotion Recognition Based on Approximate Entropy
Authors: Nie Chun Yan , Sun Hai Xin , Wang Ju
Published: March 2014

Emotion recognition is an important part in affective computing. It is the basis of building a harmonious man-machine environment. Respiratory (RSP) signal and electrocardiogram (ECG) signal are one of the main study objects in the emotion recognition based on physiological signal. The variations of the RSP signal and the ECG signal is one of the true performances of the human emotions. Through the analyses of the RSP signal and the ECG signal, we can recognize the inner emotion variations of human beings. This lays the foundation for the system modeling of emotion recognition. In this paper, we study the approximate entropy extraction of the physiological signals and analyze the chaotic characteristics and frequency domain characteristics of the approximate entropy under different emotions. The study results show that the different emotion status is corresponding to different approximate entropy and different variations in the frequency domain.
Study on Vector Hydrophone Array DOA Estimation
Authors: Zhou Hao , Huang Wen Lin
Published: March 2014

Vector hydrophone is composed of acoustic pressure sensor and particle velocity sensor, which can simultaneously measure acoustic pressure and orthogonal components of particle velocity. MUSIC (Multiple Signal Classification) algorithm is a high resolution spatial spectrum analysis method based on subspace decomposition. This paper introduces the operation principles of this algorithm in detail and investigates the application of MUSIC algorithm to the DOA estimation of acoustic sources by a vector-hydrophone ULA (Uniform Linear Array) output model. Simulation results indicate that the resolution capability of MUSIC algorithm under larger SNRs is excellent.
Frame Synchronization for DVB-S2 in Physical Layer Header Code Uncertainty
Authors: Wu Hao , Xie Hui , Huang Zhi Tao , Zhou Yi Yu
Published: March 2014

The first challenging step of the demodulation of the Digital Video Broadcasting Second generation signal is frame synchronization. Physical Layer header is composed of Start of Frame and Physical Layer Signalling code. When the Start of Frame and the structure of Physical Layer Signalling code are known, Choi and Lee, Kim et al denote some Choi Lee Detectors and Post Detection Integration techniques, using the combination of differential detection of header code. In this paper, we present a scheme to achieve frame synchronization on the condition that the Physical Layer header code is uncertain.
An Effective Threshold Switching Algorithm for Satellite Communication Exploiting Adaptive Coding and Modulation
Authors: Niu He Hao , He Yuan Zhi
Published: March 2014

The exploitation of adaptive coding and modulation (ACM) techniques for satellite communication (SATCOM) has been shown to provide large system capacity gains, the technique of how to adapt the modulation and coding scheme (MCS) play a key role to ACM performance. This paper presents an effective threshold switching algorithm exploiting a hysteresis threshold techniques for satellite ACM. Simulation results demonstrate that the algorithm can take an excellent balance between performance and system complication.
MCU Control Technology of 3D Image Processing Based on Photoelectric Coupler
Authors: Pu Sheng
Published: March 2014

In the micro display device, we can achieve the binocular 3D imaging, to carry on wireless sensor control and the implementation of naked eye 3D image expression effect. The application of controllable silicon type photoelectric coupler MOC3041 and CD4069 phase inverter design the control circuit of image capture clock, and then the use of MCU control algorithm designs the wireless sensor signal acquisition PC circuit. Finally, this paper uses a liquid crystal screen, polarizing film and polymer liquid crystal layer to carry on 3D image synthesis experiment, we can obtain the very good 3D image expression effect, and the technology will be extended to the basketball training process, to receive the application of computer 3D imaging technology.
The Generation of Cracks in Hydraulic Turbine Blades and the Instances
Authors: Lv Zhan Jie , Xu Wen , Tang Gui Ji , Wu Zhang Qin , Wang Jin
Published: March 2014

Turbine blades crack problem is widespread. Combined with the characteristics of hydropower, analyzes the causes of cracks in the turbine, materials, design and manufacturing, operation and so on. Plant No. 6 in Little Bay machine as an example, were detected by macroscopic, chemical composition analysis, crack cross-section analysis, microstructure examination, crack source electron microscopy and spectroscopy to analyze the crack, the final cause of the crack is leaves the local area resonance, the resonance of the blade in the crater formed at the source of fatigue and fatigue development along at the source, the formation of fatigue cracks.
The Research of Image Processing in Intelligent Transportation System
Authors: Chen Lei , Ke Kan
Published: March 2014

With the rapid development of economy, the role of transportation is getting more and more highlighted. It has a great increase of various transport and private vehicles which will be followed by the problems such as congestions, accidents and the pollution; however, it is infeasible to ease the traffic pressure by improving the road infrastructure only. How to use modern science and technology and schedule transportation sufficiently and reasonably to avoid the above problems is the main purpose for this research. This paper took advantage of the background-difference method [1-to get the vehicle count in accordance with MATLAB image processing technology.
Research and Improvement on the Algorithm of Face Region Detection Based on Skin Color Model
Authors: Liu Hong Hai , Hou Xiang Hua
Published: March 2014

In face image with complex background, the CbCr skin color region will have offset when considering the illumination change. Therefore, the non-skin color pixels which luminance is less than 80 will be mistaken as skin color pixels and the skin color pixels which luminance is greater than 230 will be mistaken as non-skin color pixels. In order to reduce the misjudgments, an improved skin color model of nonlinear piecewise is put forward in this paper. Firstly, the skin color model of non-piecewise is analyzed and the experimental results show that by this model there is an obvious misjudgment in face detection. Then the skin color model of nonlinear piecewise is mainly analyzed and is demonstrated by mathematics method. A large number of training results show that the skin color model of nonlinear piecewise has better clustering distribution than the skin color model of non-piecewise. At lastly, the face detection algorithm adopting skin color model of nonlinear piecewise is analyzed. The results show that this algorithm is better than the algorithm adopting skin color model of non-piecewise and it makes a good foundation for the application of face image.
Research on Supercharging Performance of 190 Series 6-Cylinder Gas Engine
Authors: Chen Gang Tian
Published: March 2014

The combustion characteristics of gas engine are investigated. According to inefficient combustion tendency, prepare solutions, reasonably select supercharging parameters to make estimations and guide the .turbo supercharging matching design of 190 Series gas engine. The design is verified and completed with performance tests, which finally show that the dynamic property of the engine is increased and its economy of is improved.
Improved Adaptive α-β Filtering Algorithm
Authors: Li Bo , Pang Fu Wen , Liang Ce , Cen Xiao Hong , Liu Yun Feng
Published: March 2014

To predict dynamic targets by using tracking gains, an improved adaptive α-β filtering algorithm is presented. First, we introduce the pseudo acceleration to build generalized model for uniform linear and acceleration motions. Then, the tracking gains based on tracking index are adaptively determined. Simulation results demonstrate that the proposed filtering algorithm can track both maneuvering and non-maneuvering targets with good performance.
UVAd-TDMA: An MAC Protocol for the Solar Blind Ultraviolet Ad-Hoc Network
Authors: Yang Juan , Luo Jian Lu , Chen Xin Yu , Cheng Fang
Published: March 2014

The solar blind ultraviolet Ad-hoc network has extensive value in the military and civil application. A conflict of the solar blind ultraviolet Ad-Hoc network is proposed to avoid TDMA media access control protocol. The conflict nodes in the network are colorized based on the hybrid genetic algorithm, and the corresponding protocol frame structure are presented. The simulation results show that the protocol can improve the network throughput and control the end-to-end delay in the tolerance range, thus having a better engineering practicability.
Research of Double RM Code and Decode of PUCCH Format 3 in Carrier Aggregation
Authors: Deng Xue Mei , Ni Xin , Wang Dan
Published: March 2014

LTE-A system introduces new PUCCH format 3, so UE can feedback up to 20 bits, the downlink ACK/NACK. Because of the limitation of bits, PUCCH format 3 can't use regular RM code, but use two way of RM code. This paper first introduces two methods of normal RM and overlapping RM, and then analysis the simulation of the performance of different algorithms that overlap RM has the better bit error rate and throughput performance.
Service Discovery Based on Self-Evolution of Domain Ontology and Cloud Migration of Web Service
Authors: Hu Guang Chang , Wu Bu Dan , Chen Jun Liang
Published: March 2014

To meet the demand of the higher precision ratio and recall ratio of service search, a method of Web service discovery is proposed based on ontology evolution and Web service migration. According to the developed cloud service platform and the existed service repository and domain ontology list, a service migration process is proposed which migrate to the cloud platform and implement unified management for Web service. This process effectively achieves that Web services migrate in and out of the cloud platform. In order to realize the self-evolution of domain ontology, an ontology alignment mechanism is designed to automatic extend and replace of ontology concept. This mechanism achieves the integration of different keywords with the same meaning and ensures the consistency of ontology concept. In this paper, the method not only enables efficient service discovery and dynamic service management, but also can achieve high concurrency support of services and supply or billing on demand. The experiments show that the proposed method solves the search problem of low efficiency based on keyword, and it effectively improves the precision ratio and recall ratio of service discovery.
University Heterogeneous Data Source Integration Middleware Design Based on XML
Authors: Liang Xiao Xiao , Wang Shun Min , Wei Chong Gang , Shen Chuang
Published: March 2014

According to the distribution, autonomy and heterogeneity of the university database, we designed the structure, main arithmetic, query distribution device, result processor and wrapper of the university heterogeneous data integration middle ware by using Java, XML and middle ware. We emphasized on introducing the designation of query distribution device, result processor and wrapper.
A Performance-Based Policy for Job Assignment under Distributed Rendering Environments
Authors: Hong Zhi Guo , Wang Yong Bin , Shi Min Yong
Published: March 2014

Based on the characteristics of rendering phase, a performance-based policy for job assignment under Distributed Rendering Environments (DREs) is proposed. Firstly, a method of evaluating rendering nodes is designed by taking CPU ratio, RAM size, CPU occupation, RAM usage into account. Furthermore, the corresponding algorithm of job assignment for dividing rendering tasks into sub-tasks on available rendering nodes is presented. Whats more, this algorithms correctness is validated by three groups of experiments thereby which offers quantitative guide for optimal job assignment of rendering.
A Power Control Algorithm Based on SNR for Ad Hoc Networks
Authors: Li Fang
Published: March 2014

As for Ad Hoc networks is a method which using power control technology to improve the network energy consumption, with the situation of effectively reduce energy consumption but seriously decline of network throughput on the basis of power control algorithm. This paper presents a kind of distributed transmission power control MAC protocol (DTPMP) based on signal to noise ratio (SNR). The simulation results showed that mate lower node energy consumption in the first mate, while maintaining higher throughput performance of the network.
A NPR Technique of Many Pieces Rendering
Authors: Du Chang Qing , Qian Wen Hua , Guan Zheng , Zhao Zheng Peng , Hua Yu
Published: March 2014

To provide with an effective method for non-photorealistic rendering for computer generated images with artistic appearances from 2D images motivates our work in this paper. The methods proposed in this paper are inspired by the many pieces synthesis mosaic effects. In this paper, we mainly propose the method for generating the artistic appearances based on the pieces synthesis and color tranfer technique. The block pieces can be chosen from arbitrary quantity images in the database. First, to accelerate synthesis speed, the mosaic effect can be generated based on the luminance channel. Further, we establish our method for obtaining RGB appearances taking the color transfer as the underlying basis. Therefore, the color of input image can be rendered to the final mosaic artistic effects. Experimental results show that our methods are effective and efficient.
Research on Automatic Scoring for Subjective Item of Database Domain Based on Database Synonyms Ontology
Authors: Liu Ying , Zhang Xiao Ran , Zhang Ying , Dang De Peng
Published: March 2014

Nowadays, automatic scoring is an important way of teaching and examinations. However, there is no existing research on automatic scoring for subjective item of database domain both at home and abroad. According to the characteristics of database domain, we construct database domain synonyms ontology and proposed a text similarity calculation algorithm based on Hamming distance. Then we implement the automatic scoring for subjective item of database domain on the basis of ontology. In addition, in order to verify the accuracy and rationality of the algorithm, we take a specific subject as an example. The experiment results further illustrate the accuracy and efficiency of the proposed automatic scoring algorithm.
Design and Implementation of Tourism Management Information System
Authors: Hu Ao , He Zhen Ming , Yin Cai
Published: March 2014

The development of geographic information technology promotes the progress of tourism information. The application of information technology to the management of tourism information can improve the service standard and management quality of tourism industry, which consequently accelerates the development of tourism industry. The paper introduces the design of Tourism Management Information System (TMIS), and applies Baidu Map API and HTML5 based on B/S structure for web development to realize the basic operation of electronic maps, attractions query, bus query, surrounding query, travel by car, address matching, and so on. TMIS based on B/S structure shares resources through the network with low cost, high efficiency of management and development, fast speed of updating information, which can provide timely and accurate information for the tourists.
The Application of Hadoop in the Campus Cloud Computing System
Authors: Wang Xiao Feng
Published: March 2014

Based on the theory of cloud computing, this paper uses Hadoop distributed computing framework and the MapReduce programming model, designs and implements a campus cloud computing system for processing huge amounts of data. The system uses a three-layer architecture, has the flexibility to expand the scale, low development cost and ease of operation, reduces the difficulty of parallel programming and has the ability to efficiently handle massive data analysis and processing.
Research and Match of Light Truck Cab-Mount System
Authors: Zhang Yi Jing , Shi Wen Ku , Wang Shi Chao , Dai Yun
Published: March 2014

People are paying more and more attention on driving comfort of their vehicle. This subject also draws more and more attention from the manufacturer. For cost and fix space reason, light trucks cab can hardly be designed to be float-type. So, good match for cab-mount system are the only available method. This paper is focus on matching analysis of cab-mount system. From parameters calculation to matching analysis, this paper provided a full chain of this method, which has great value of reference.
Research on I/O Space Reduction of Large-Scale Software Systems
Authors: Gao Zhi Yuan , Huang Hai Feng , Yao Jian Guo , Cao Yang , Yang Sheng Chun
Published: March 2014

Testing is of great significance for the safe and reliable running of a large-scale software system. Starting from analysis on the weakness of Combinatorial Testing techniques when they are applied to large-scale software testing, a test model is given which is more in line with the actual characteristics, and some theorems about software input-output space reduction are also proven based on the model. It is proved that the input-output space of a large-scale software can be significantly reduced by proper decomposition according to the relationships between different software modules and the correlations between input factors and output factors. The results of this paper lay a theoretical foundation to simplify the testing of large-scale software systems.
Visualization of Network Security Information Based on Slow and Stealth Scan
Authors: Zhang Dong Sheng
Published: March 2014

To date, network security analysts depend only on some network secure products to study large amounts of log information as to analyze and cope with network anomalies. With dramatic increase of network data volumes, diversities of attack types and more complexity, the traditional analytical means are no longer effective. How to enable those analysts to quickly figure out network status by advantage of cumbersome high-dimensional data information has become a critical concern in the field of network safety. Here it develops a visualized technique for detecting network safety information by port scanning. After the analysis of network data packets and the use of information visualization technique, the visualized port scanning and detection system ScanViewer is designed and developed. The experiment reveals that it can detect slow scan, distributed scan, various TCP stealth scan and so on. With the method, people have got out of helpless embarrassment by the weak scan.
The Design and Implementation of Teaching Management System Based on Web
Authors: Yang Xiu Fang , Wang Rong Rong
Published: March 2014

With the rapid development of Internet technology and applications, online communication between teachers, students, and teaching management personnel becomes more and more frequent. Teaching management system based on web through school network may not only realize teaching information release and communication between teachers and students, but can achieve results release and student achievement inquiry, teaching evaluation, teaching plan search, and realize functions like teachers and students chat or answering questions. It is very necessary and also feasible.
Metrics on Software Structure Based on Structural Features in Software Network
Authors: Liu Zheng , Zhang Qian , Zhao Hai
Published: March 2014

According to the problem that traditional metric methods for software structure cannot reflect the structural features of software system on macro-view, the definition of Radiation Degree is presented based on software network that directed and weighted firstly, and the structural complexity of each node and the overall complexity of the system are measured by evaluating the outward Radiation Degree and inward Radiation Degree of the node. Secondly, because inward Radiation Degree and outward Radiation Degree are different reflection of structural features, Ratio of Radiation Cycle is presented to find the nodes have both high inward Radiation Degree and outward Radiation Degree. This method is detection for defects in software structure that can find the dangerous nodes in structure in time and provide guides during developing or maintaining of software system.
The Design and Implementation of Micro-Blog User Interest Search Engine Base on Cloud Computing Technology
Authors: Wang Bei Zhan , Chen Kang , Ye Wei Long , Wang Xu
Published: March 2014

With the rapid development of Internet and the explosive growth of Internet information, massive data processing received more concerns. Micro-blog, which is an important representative pattern of the Internet development in the future, has become the essential tool of communication and marketing to all of us. Processing and using the massive data resulting from micro-blog activities has becomes a hot topic. In this paper, we propose a method to design and implement the User Interest Based Search Engine, a search engine can be used to search for the same interest micro-blog users. We at first crawl massive micro-blog data from micro-blog websites, and store this data in HBase. Then we process the massive data and build indices using MapReduce. Finally, we build a search engine web site based on Solr, and we propose a rank algorithm for searching. By employing this User Interest Based Search Engine, we can accurately search other users with the same interests as ourselves.
Rank-Based Routing Strategy for Named Data Network
Authors: Zeng Xiao , Gao Ze Hua
Published: March 2014

NDN (Named Data Networking) is clean-slate architecture for future networking, in which packets carry data names rather than source or destination addresses, being a sharp contrast to today IP architecture. The default routing strategy for NDN is flooding the interest packets to all the possible interfaces which could reach for the data provider or data cache container. Obviously, the default routing strategy is not best way in the actual networking for the heavy load of routing items. This article proposes an interface rank-based routing strategy (RBRS), in which the PIT and FIB structures are detailed and expanded to satisfy the Interest and Data packets transmission, and the interfaces are ranked through a cumulative algorithm for route selection. Through the simulation, RBRS has been proved an adaptive routing mechanism with better performance of network load balance, while reducing the average routing hops and the centric nodes load.
A Test Case Reuse Strategy on GUI Software
Authors: Wan Lin , Fan Qiu Ling
Published: March 2014

The design of test cases plays an important role in GUI software testing. If test cases can be reused effectively, test time can be much reduced. Also, repetitive work can be avoided. Thus the efficiency of testing can be enhanced a lot. In this thesis, according to the characteristics of GUI software, a novel strategy of test cases reuse was proposed, which was proved efficient in practice.