bluuebunny/crossref_metadata_2025 huggingface dataset:
An Efficient Multi-Hypothesis Temporal Error Concealment Method for H.264
Authors: Zhan Xue Feng
Published: October 2013

An efficient multi-hypothesis Temporal Error Concealment (TEC) method is proposed in this paper. Two compensated MarcoBlocks (MB) are obtained by two basic TEC approaches. Process of noise Motion Vector (MV) removal is introduced to get compensated MB more accurately. The lost MB is then concealed by weighted combination of the two MBs in which the weight is adjusted adaptively by calculating standard deviation of candidate MV set. Experimental results demonstrate that the proposed method can overcome shortcoming of fixed weight and provide better performance.
Thenar Palmprint Image Denoising Based on Intermediary Filter
Authors: Dai Yue Ming , Zhu Xi Jun
Published: October 2013

In this paper, based on the value measure of the Intermediary truth value, the Intermediary filtering algorithm is applied to the thenar palmprint image preprocessing. By using the Objective indicators of peak signal to noise ratio (PSNR), it can be seen that compared with the classical de-noising algorithm, the intermediary filtering algorithm is more effective and practicable.
Application of Image Process Technology in Diagnosing the Fetal Brain Malformations
Authors: Song Ying Xiao , Wu Ri Tu , He Li Xin , Chen A Mei
Published: October 2013

A new method was proposed to solve match and segmentation problem of ultrasonography of the fetus brain for screen the fetal brain malformations. First, obtaining the gray value of the brain of skull, lateral ventricle (LV), and cerebella hemisphere (CH) based on the image process. Then, index of the each parts gray value scope of the health fetus brain important regions were calculated by using the edge detection based random ellipse detection (RED), using the level set method for the segmentations in tested tissues. Mean values of all datasets were calculated and a standard model were established. This standard model can be used to match the gray level of the undiagnosed groups in order to screen the fetal brain malformations. The propose method gets encouraging result of the application in 3 fetuses with hydrocephalus.
Research of the Evaluation Function Based on Improved Neighborhood Difference Operator
Authors: Wang Cheng Yun , Ye Long
Published: October 2013

Automatic focusing is one of the key technology of robot vision and digital video-systems, while play an important role in determining the quality of image. The performance of focusing depends on whether the evaluation function has unbiasedness, unimodality and noise resistance. This paper proposes a new evaluation function algorithm by improving image clarity-evaluation function of the traditional neighborhood difference operator. Compared with the existing algorithm, the results of experiments demonstrated the new algorithm has a good sensitivity, timeliness, good anti-noise ability and stability during the automatic focusing process.
An Improved Approach of Mutual Information Based Registration for Medical Images
Authors: Guo Shun Sen , Xia Yong , Wang Kuan Quan
Published: October 2013

Mutual information stems from communication theory, which is commonly used as similarity measure in the field of medical image registration. This approach works directly with image data; no pre-processing or segmentation is required. But calculating the mutual information of images needs a large amount of computation, which in some respect restricts its application. In this paper, by doing some processing on the reference image before the registration, we changed the way of calculating the mutual information to reduce the computation. The result of the experiments shows that the accuracy of registration does not change significantly, whereas the time of calculating the mutual information is decreased significantly.
An Image Filtering Algorithm for Removing Mixed Noise
Authors: Chu Mao Xiang , Wang An Na , Gong Rong Fen
Published: October 2013

In order to remove salt-and-pepper noise and Gaussian noise in image, a novel filtering algorithm is proposed in this paper. The novel algorithm can preserve image edge details as much as possible. Firstly, five-median-binary code (FMBC) is proposed and used to describe local edge type of image. Secondly, median filter algorithm is improved to remove salt-and-pepper noise by using FMBC. Then, local enhanced bilateral filter with FMBC and a new type of exponential weighting function is used to remove Gaussian noise. Simulation results show that the algorithm proposed in this paper is very effective not only in filtering mixed noise but also in preserving edge details.
Detection Model of Knotty Illicit Image
Authors: Li Yong Gang , Yin Hai Ming
Published: October 2013

Detection model of knotty illicit image is designed to detect special erotic image, such as nude chat image and advertising prostitution image, which are difficulty identified by conventional algorithm. Text information and skin-color information are detected in the image detection windows set according to the characteristic of images. Experimental results demonstrate that the model can obtain good results in detecting special erotic image.
Efficient DCT Domain Transcoding from MPEG-2 to H.264 for Intra Mode Video
Authors: Wei Geng , Yang Guang , Zhang Yu Dong
Published: October 2013

The transcoding technology is widely used to settle the non-compatibility of devices and network interface. In this paper, the technologies in DCT domain is integrated to speed up the transcoding process. The proposed method firstly determined the intra mode set by discarding some seldom used modes and then the intra mode decision is performed by using DCT domain cost function. Experimental results show that this method can reduce the computational complexity greatly with acceptable video quality loss.
Speaker Localization in Reverberant Noisy Environment Using Principal Eigenvector and Classifier
Authors: Wan Xin Wang , Liang Juan
Published: October 2013

Sound source localization is essential in many microphone arrays application, ranging from speech enhancement to human-computer interface. The steered response power (SRP) using the phase transform (SRP-PHAT) method has been proved robust, but the algorithm may fail to locate the sound source in highly reverberant noisy environment. The Naive-Bayes localization algorithm based on classification of cross-correlation functions outperforms the SRP-PHAT in highly reverberant noisy environment. This paper proposes the improved Naive-Bayes localization algorithm using principal eigenvector. Simulation results have demonstrated that the proposed algorithm provides higher localization accuracy than the Naive-Bayes algorithm in reverberant noisy environment.
A Study on Speech Recognition for Design Intent of Geometric Modeling Using HMM and its Application
Authors: Chen Feng , Wang Zhen Wei , Yang Shuo , Tian Ye
Published: October 2013

Design automation is always one of research focuses in the field of industry practices. With the development of computer science and technology, speech recognition technology attracts increasing researchers, and it is widely applied to industrial production. Around design automation, we propose a geometry modeling method through design intent using speech recognition, which is an automatic and efficient geometry modeling method. This paper discusses the speech recognition for design intent of geometry modeling using Hidden Markov Model, HMM. In this paper, firstly, the research framework is explained in detail; Secondly, analysis on the related theory and technology about the speech recognition are conducted, including speech signal collection, technology of data processing, technology of training and recognition of model, etc.; Thirdly, some experiments are carried out to validate above discussions; Finally, recognition efficiency comparisons between HMM and DTW are discussed. Experiments show that using HMM for the speech recognition of design intent is feasible and reasonable.
Study on Skeletal Animation in Virtual Reality
Authors: Jiang Na , Zhao Wei
Published: October 2013

For taking the advantages of skeletal animation, different model should be treated separately during the drawing process. For the sophisticated character, skeletal animation can apply binary compression and the method of saving common sequence. Meanwhile, draw the advanced programmable GPU technology into the progress of dealing with the updating of skeletal animation vertex, then analysis and comparison its performance. The results show that the new algorithm will greatly reduce RAM utilization. And the introduction of GPU computing method can perfectly assist the CPU to complete a large number of graphics operations, reducing CPU utilization, thereby improve the efficiency of skeletal animation rendering fundamentally.
Perturbation Theorems for Frames and Riesz Bases
Authors: Xiao Xue Mei
Published: October 2013

This paper gives a perturbation theorem for frames in a Hilbert space which is a generalization of a result by Ping Zhao. It is proved that the condition a linear operator is invertible can be weakened to be surjective, and a similar result also be obtained for a Riesz basis. The perturbation theorems for frames and Riesz bases in a Hilbert space were studied by operator theory in functional analysis.
The New Optimization Approach to Improve SNR in Periodic Signal Input/Output System
Authors: Yu Gen Jian , Weng Kun Peng
Published: October 2013

This paper presents a local optimal processing approach that can use in the periodic signal input/ output noise enhancement phenomenon. A novel kind of locally optimization approach is established by background noise that generated from Gauss noise and bifurcation noise. It is demonstrated that the approach has its optimal output-input SNR gain at nonzero noise intensity. The papers conclusions bring the bright application future for the nonlinear signal processing theory.
Research on the Power Prediction of Photovoltaic Power Station Based on LMS Adaptive Filter
Authors: Zhu Hong Lu , Yao Jian Xi
Published: October 2013

Along with continuous increase of capacity of PV(photovoltaic) power station, techniques for power prediction of PV power station play an important role in reducing impact of stochastic fluctuation of PV power stations energy output on power system. The paper proposes a method for power prediction of PV power station based on LMS adaptive filter, a FIR approach model of PV station power prediction model based on LMS adaptive filter is established with history runtime value of PV station as the input value of filter and current value as the expected value. The advantage of using LMS filter to power prediction of PV power station is that a real-time, explicit identification result can be obtained as well as that the algorithm is simple. A test has been made with runtime data of one PV power station and the result showed that the prediction method in the paper has good accuracy in terms of super-short term power prediction.
Identification of Power Quality Disturbances Based on EEMD and TEO
Authors: Wang Song Jun , Liao Qing Fen , Liu Di Chen , Zhou Yu Tian , Xu Bin Kun , Wang Yi Fei , Lu Lie
Published: October 2013

The empirical mode decomposition (EMD) is a good time-frequency analysis method, which can deal with nonlinear and non-stationary signals. Aiming at improving modal aliasing problem brought by the traditional EMD, white noise is introduced into the improved aided analysis algorithm namely ensemble empirical mode decomposition (EEMD), instantaneous amplitude and frequency can be obtained by using teager energy operator (TEO), which is adopted to identify the type of power quality disturbance. The anti-aliasing of EEMD and real-time detection of TEO are verified by the signal simulation in Matlab. Simulation and experimental results show that the proposed algorithm can detect and locate power quality disturbances accurately and quickly, with excellent detection effects.
A Feature Extraction Method of Gear Fault Based on the SVD EMD and Morphology
Authors: Hou Gao Yan , Lv Yong , Huang Hao , Zhu Yi
Published: October 2013

In order to extract the weak signal from strong background signal characteristics, a feature extraction method combined of the singular value decomposition (SVD), empirical mode decomposition (EMD) and mathematical morphology was proposed. The signal got through the singular value decomposition first. Next took the average value of the decomposed main components. And carried on the empirical mode decomposition and selected the main component to summate and refactor. Then morphological difference filter was used to extract the frequency characteristics of the fault signal. The results of numerical simulation test and gear fault simulation experiments show that the proposed method can clearly extract the frequency characteristics of weak signal from strong background signal and noise. Comparison has been done with the results of singular value decomposition (SVD) and morphological filtering method and empirical mode decomposition form of filtering method. It proves the effectiveness of the proposed method.
Finite Element Analysis of the Input Shaft in Toroidal Drive
Authors: Rong Yang , Yao Li Gang , Yao Jing Yi
Published: October 2013

Based on finite element method, model analysis of input shaft of the toroidal drive is introduced, natural frequency and vibration model are obtained. The analysis result is in a good orderliness, matches the results calculated by the model analysis method and can be lead to a new research field for the toroidal drive.
Study of the Fault Diagnosis Based on Wavelet and Neural Network for the Motor
Authors: Shao Ke Yong , Han Li Juan , Wang Xin Min , Zhang Feng Wu , Qian Kun
Published: October 2013

In the motor fault diagnosis technology, vibration signals can fully reflect the motor operation conditions. In this paper, a linear motor fault diagnosis method based on wavelet packet and neural network was presented. The improved neural network system was designed with variable hidden layer neurons. The network chosen different numerical values depending on different situations to reach the requirements that improving diagnostic accuracy and shortening the diagnosis time. The linear motor’s normal and two common faults vibration signals were analyzed and the vibration signals energy characteristics were extracted through wavelet packet, then identified fault through neural network. The experimental results show that this method can effectively improve the motor fault diagnosis accuracy.
Research on Algorithm in Fast Modular Exponentiation Based on FPGA
Authors: Zhao Lian Qing , Li Shu , Chen Yuan Xun , Liu Dong Jun
Published: October 2013

Modular exponentiation of large number is widely applied in public-key cryptosystem, also the bottleneck in the computation of public-key algorithm. Modular multiplication is the key calculation in modular exponentiation. An improved Montgomery algorithm is utilized to achieve modular multiplication and converted into systolic array to increase the running frequency. A high efficiency fast modular exponentiation structure is developed on FPGA to bring the best out of the modular multiplication module and enhance the ability of defending timing attacks and power attacks. For 1024 bit key operands, the design can be run at 170MHz.
Target Tracking in Sensor Networks Using Additive Divided Difference Information Filtering Method
Authors: Lee Deok Jin , Chong Kil To , Hong Dong Pyo
Published: October 2013

This paper represents a new multiple sensor information fusion algorithm in distributed sensor networks using an additive divided difference information filter for nonlinear estimation and tracking applications. The newly proposed multi-sensor fusion algorithm is derived by utilizing an efficient new additive divided difference filtering algorithm with embedding statistical error propagation method into an information filtering architecture. The new additive divided difference information filter achieves not only the accurate nonlinear estimation solution, but also the flexibility of multiple information fusion in distributed sensor networks. Performance comparison of the proposed filter with the nonlinear information filters is demonstrated through a target-tracking application.
ECG Denoising Based on MP Algorithm
Authors: Wei A Ying
Published: October 2013

The electrocardiogram (ECG) signal is an important basis of diagnosing cardiopathy. It is very important to remove the noises of the signal before the use. Matching pursuit (MP) algorithm uses overcomplete dictionary to decompose the signal, so it can reflect the properties of the signal. In this paper we denoise the ECG signal using MP algorithm,whose dictionary is composed of Gabor atoms.The experiment simulation results show that the proposed method has a good denosing effect.
Design of Multi-Parameter Environmental Monitoring Instrument Based on Labview
Authors: Guo Chun Fen , Wei A Ying , Cheng Xue Zhen
Published: October 2013

For instrument multifunction, this article introduces a new multi-parameter environmental monitoring instrument. This article chooses the electrochemistry gas sensor as signal acquisition element which has the characteristics of small volume, high sensitivity. Using a single crystal designed as PM2.5 detection module. It can measure SO2NO2COH2S and PM2.5 meanwhile. It simply and exactly achieved the measurement of every parameter by designing related circuits. The communication between computer and Labview was realized by serial port. This instrument has high accuracy, small volume, and higher performance price ratio and so on.
Different Code Rates of LDPC Decoding Based on CMMB Standard
Authors: Liu Shuai , He Jing , Xu Xin Yu
Published: October 2013

In this paper, we present different code rates of LDPC decoding on Chinese Mobile Multimedia Broadcasting standard (CMMB). There are two different code rates (0.5 and 0.75) of LDPC in CMMB standard.In this paper, we use LLR-SPA algorithm to decode and make a simulation. Simulation results show that the higher code rate (0.75) of LDPC code in CMMB standard provides a better performance.
Theoretical Analysis of Mechanism Kinematics for Boom Crane of Marine Drilling Platform
Authors: Li Jun Qiang , Peng Yong , Yan Wen Hui
Published: October 2013

The boom crane of marine drilling platform is an important part of the automated pipe racking system. It has important engineering significance to study the kinematics of boom crane for the automatic control and accurate positioning. Using the method of robot mechanisms, the kinematics of mechanism for boom crane on marine drilling platform is discussed in this paper. According to the structure and motion characteristics of the boom crane, a special joint coordinate system is chosen. The kinematics model of the boom crane is established. The forward kinematics equations, inverse kinematics calculation formulas are derived. The correctness of formulas is verified by examples. The theoretical basis is provided for the movement automatic control and subsequent dynamics and boom crane mechanics analysis when considering the elastic deformation.
Generation and Implementation of Grasping Rectangle Based on Hierarchical Shape Context and Kernel Density Estimation towards Robotic Grasping Unknown Objects
Authors: Kang Guo Liang , Qin Shi Yin
Published: October 2013

This paper focuses on the perception step of robotic grasping unknown objects in order to get a stable grasping hypothesis. At first, hierarchical shape context feature is proposed to depict the local and global shape character of a sample point along the edges of the object. Moreover a kind of random forests classifier is adopted to recognize the grasping candidates in the image from vision system so that a 2D grasping rectangle can be generated through kernel density estimation. Finally, by means of stereo matching, the grasping rectangle can be mapped into the 3D space. Thus, the center of the grasping rectangle can be applied as the center of the gripper. The approaching vector and the grasping rectangle direction can be employed to determine the pose of the gripper. Simulated experiments showed that a reasonable and stable grasping rectangle can be generated for various unknown objects.
Evaluation Study of Grounding Grids Based on Gray Clustering
Authors: Cui Jiang Xia , Du Jing Yi
Published: October 2013

Grounding grid is an important device which ensures the safe operation of substation. Its corrosion is influenced by various factors and the influence of these factors is varied. It is difficult to infer the relationship between the corrosion rate and its influencing factors, so this paper apply the grey clustering method of grey system theory in the grounding grid corrosion and gives an application instance and realizes it by MATLAB. The results demonstrate the practicality and effectiveness of the method mentioned in this paper. This method can provide reference for high reliability for related departments in the implementation of emergency situation due to grounding grid corrosion.
A Master-Slave Model NGA and its Application in the Multidimensional 0-1 Knapsack Problem
Authors: Man Zi Bin , Zhao Ting Hong
Published: October 2013

The Multidimensional 0-1 knapsack problem is a NP hard problem, though there are many algorithm is used to solve the problem, but there is still not a good solution to solving the problem. This paper improved niche genetic algorithm, established a master-slave mode niche genetic algorithm, and carried on adaptive setting the individual Euclidean distance criterion, making it can changed with the evolving algebra incremental. At last, used master-slave niche genetic algorithm to solve the Multidimensional 0-1 knapsack problem, test results showed, the algorithm has good applicability and superiority in solving the Multidimensional 0-1 knapsack problem.
An Idea of the Topological Inductive Logic under the Inadequate-Cognition-Oriented
Authors: Liu Bang Fan , Xu Shui , Ma Xiu Li , Xu Ke
Published: October 2013

Most of the imperfect inductive inferences are under the condition of inadequate cognition, so is the universe and black hole oriented topological inductive logic. When a cognition is not very clear, what we need is Lee Smolins logic existing for working cosmography, which is called Topos Theory. We human cognition has another big loophole, i.e., our inner black hole, which is our wisdom itself. The wisdom that we human have is another unclear world similar to universe. So the understanding of human wisdom and its cognitive process needs to construct topos logic.
Some Applications of the Causal Statement Logic Programming in Machine Language
Authors: Ma Xiu Li , Liu Bang Fan , Xu Shui
Published: October 2013

In modern science, machine language was developed on the basis of multidisciplinary, so it forms the nature of cross subject or multidisciplinary subject, especially it crosses with modern logic. Burks developed the logic of casual statement, and tried to apply to the constructing of machine language. While applying the logic of casual statement to machine language, philosophy of logical machine was put forward. Philosophy of logical machine takes an important role in guiding the development of the discipline of contemporary machine language and its practical applications.
A Novel Efficient Stopping Criterion for Turbo Codes
Authors: Ru Yu Nian , Li Jian Ping
Published: October 2013

This paper proposes a novel stopping criterion based on the HDA stopping criterion. To devise the criterion, we consider both the HDA criterion and the mean of the absolute values of the log-likelihood ratios (LLR) at the output of the component decoders over each frame together. The new criterion saves more than 0.5 iteration ,in the low signal-to-noise ratios (SNR) situation,with a negligible degradation of the error performance.
CS-UWB Channel Estimation via Optimized Sensing Matrix
Authors: Fan Fu Hua
Published: October 2013

In order to obtain accurate Compressive Sensing UWB (CS-UWB) channel estimation coefficients, a method of constructing adaptive sensing matrix is proposed via incoherence criterion, making the greedy reconstruction algorithms obtain optimal atoms from redundancy dictionary. The modified OMP algorithm without a prior of sparsity and SNR information is also presented for convenient using. Simulation results show that much improvement on UWB channel estimation is obtained based on the adaptive sensing matrix using the proposed algorithm.
Optimization of Greedy Pursuit Algorithms Based on Probability Analysis
Authors: Zheng Yi , Cai Ti Jian
Published: October 2013

Through analyzing prior conditional probability of signal reconstruction in compressed sensing, the paper puts forward an improved method toward serials greedy pursuit algorithms. This method can achieve more accurate selection when select columns in perception matrix that is the most correlated with the residual. Meanwhile, this paper reviews most of greedy pursuit algorithms, and simulations validate the efficacy of the proposed method.
Research on the Kinematics Simulation of Out-Moving Jaw Crusher Based on Nastran
Authors: Yong Jiang
Published: October 2013

In this paper, out-moving jaw crusher machine is regarded as the research object and we established the simulation model of virtual prototype based on Nastran. Through the simulation analysis of the movement process, trajectories of moving jaw side plate and a movable jaw toggle plate and related parameters were obtained and compared and verify the simulation model and theory model. The results show that: the simulation model reflects the motion characteristics of the theoretical model well. So it provides theoretical reference for improvement of dynamic performance analysis and structure design of jaw crusher and has important application value in engineering.
An Improved Log-MAP Algorithm For BICM-ID Embedded Turbo Codes
Authors: Wang Jian , Li Jian Ping
Published: October 2013

This paper presents a novel decoding algorithm for bit-interleaved coded modulation iterative decoding (BICM-ID) embedded turbo codes. It can yield good bit error rate (BER) performance with much lower complexity. The improved algorithm exploits a linear interpolation and optimal mean square approximation function to replace the logarithmic correction in the Jacobian logarithmic function based on the MacLaurin Series, which avoids complicated logarithm look-up table operations in Log-MAP. Simulation results show that the novel algorithm obtains can offer almost equivalent performance to the optimal algorithm. Compared with the improved MAX-Log-MAP algorithm, the proposed algorithm can reduce about 34% of computational complexity, meanwhile it achieves 0.1db-0.16db performance gains.
Solving the Job-Shop Scheduling Problem Based on Cellular Genetic Algorithm
Authors: Wen Ming Yue , Zhang Yi , Hu Fang Jun , Liu Zheng
Published: October 2013

Cellular genetic algorithm (cGA) is a subclass of genetic algorithm (GA) in which the population diversity and exploration are enhanced thanks to the existence of small overlapped neighborhoods. Such a kind of structured algorithms is specially well suited for complex problems. Shop scheduling problem is a kind of problem with practical significance, and it belongs to a combinational optimization problem called NP-hard problem. In this paper we establish the model of job-shop problem (JSP) and solve the job-shop scheduling problem with cGA and traditional genetic algorithms (sGA).From the experimental results and analysis, we find cGA has better search efficiency and convergence performance than sGA.
Intelligent Control and Application of Heat Exchange Station Based on Heating Quality
Authors: Wang Wen Biao , Sun Yong , Wang Si Yuan , Meng Song
Published: October 2013

The heat exchange station of centralized heating system has the characteristics of large time delay and large lag which will affect the heating quality directly. Furthermore, a scheme of temperature control system of heat exchange station based on intelligent three-states Pang-Pang is designed .It chooses the average temperature of supply and return water in secondary network as the controlled parameters is based on mechanism analysis. Actual control effect shows that the scheme improves the controllability of the system. It not only decreases the overshoot but also improves the heating quality especially has the referential and extending significance for heat exchange station transforming open loop to closed-loop control.
Path Optimization of Container Multimodal Transportation Based on Improved Genetic Algorithm
Authors: Li Jing , Yang Yue Fang , Liu Huan
Published: October 2013

This paper mainly studies on the optimization and algorithm of multimodal transport path. The algorithm considered the transportation time, freight, the different transport ways, and the possibility of occurrence of facelift premise between each node. All of this determined the best path and the mixture of intermodal transport, which minimize the total freight fee. Take the complexity of multimodal optimization into account, this paper optimized the genetic algorithm to transport scheme. The certain population of crossover and mutation rules in application will continue to evolve by coding each path, finally achieve the solution of concrete steps.
Detection of Indoor Robot’s Passable Areas Based on a Single-Line Structured Light
Authors: Mao Xiao Rong , Yuan Xia , Zhao Chun Xia
Published: October 2013

Center extraction of structured light’s stripe is a key link in the detection system for the robot’s passable areas based on a single-line structured light. With the original image that the camera took, we used the difference method to quickly get the interesting area where the light stripe was. Then we combined the Hough transformation with the improved K-means algorithm to take full advantage of the effective information of light stripe. We extracted the structured light’s center with high precision. It provides a guarantee for the robots’ passable area’s detection and path planning.
Agricultural Information Service Quality Evaluation Algorithm Based on Genetic Algorithm, BP Neural Network and Multiple Regressions
Authors: Chen Cheng , Wu Hua Rui
Published: October 2013

Information service objects in agriculture relatively have a complex demand due to agricultural regional and seasonal. The construction of information service quality evaluation model contributes to analyze the influencing factors that influence the quality of information service, proving guidance for agricultural information service. Combined with genetic Algorithm, BP neural network and multiple regression, a hybrid BP network based on the integration of BP Network and multiple regression models is proposed, and the initial weights of hybrid BP network is optimized by hybrid genetic algorithm, effectively avoid the flaws when these methods used separately. Proved by the experiment, information service quality evaluation model constructed by a hybrid BP network based on the optimization of genetic Algorithm has a good accuracy and generalization ability, the mean error within 5%.
A Time-Varying Data Classification Approach Based on ANN with Slide-Window
Authors: Chai Ai Ping
Published: October 2013

Time-varying data widely exists anywhere in the objective world, and whose diverse distribution as time is a hybrid stochastic process. Whereas, determining how to achieve knowledge from time-varying database is still an important content of data-mining. In fact, existing techniques of data-mining are difficult to deal with this problem. The paper deeply studies and analyses finite dimension distribution function families of stochastic process and gives out existent theorem of time-varying data classification, proposes a new more effective technique called time-varying datasets classification approach based on slide-window neural networks, and gives out smoothing algorithm and convergent condition with solving this problem as well as simulation examples. The result shows the proposed method is a very effective time-varying data classification method.
Target Threat Assessment Based on Intuitionistic Fuzzy Sets Choquet Integral
Authors: Huang Jie , Li Bi Cheng , Zhao Yong Jun
Published: October 2013

For the problem that threat assessment often has some uncertainty and the correlation exist among threat factors, a technique based on intuitionistic fuzzy sets Choquet integral is proposed with intuitionistic fuzzy sets and fuzzy integral being introduced into information fusion area. First, threat estimators based on different factors are constructed with intuitionistic fuzzy sets theory. The uncertainty of each estimator is represented with membership function and non-membership function. Then, the significances of the estimators are modeled with fuzzy measures. Subsequently, threat assessment results are obtained using Choquet integral. Finally, the proposed method is validated through the air combat threat assessment of 20 typical targets.
Complex Fault Diagnosis Based on Immune Principle
Authors: Cen Jian , Zhang Xu Hong , Xiang Dan , Lu Xu
Published: October 2013

To improve the accuracy of fault diagnosis, this paper reply to biological immune theory, candidate detectors have been created in non-self-space, according to biological mutation mechanism and the clone selection theory, to mature candidate detector and to reduce training time. Fault samples have classified in non-self-space, in order to reduce unclear boundaries of fault samples. The use of adaptive threshold are adapted to in the diagnosis process, to reduce the diagnosis of black holes arising, the error rate and missed rate reduce, therefore the accuracy of fault diagnosis improve. Fault test and simulation results show that the effectiveness of the method.
WSN Localization Algorithm Based on Fast SVM
Authors: Zhu Fang , Wei Jun Fang
Published: October 2013

Localization of sensor nodes is essential for wireless sensor network when it is applied to the special applications.This paper proposed a rang-free localization algorithm based on SVM. In this algorithm, multi-class SVMs are applied. So to improve the performance, a fast SVM algorithm is proposed in this paper.Finally, the experimental results demonstrate the algorithm proposed has small localization error, and it is robust and stable.
Application of Ellipsograph-Mechanism in Pipe Auto-Handling Device and its Energy Consumption Computation
Authors: Hu Xin Peng , Kui Yan Long , Liu Yan , Sun You Hong , Wang Ji Xin , Gao Ke
Published: October 2013

A design scheme of ellipsograph-mechanism-based pipe auto-handling device (PAD) in continental scientific drilling rig is presented. The working principle of ellipsograph and its characteristics are firstly analyzed to satisfy the requirements of the movement structure of the PAD. Then, the kinematics and dynamics analyses of the structure are conducted respectively to obtain the relationship among each key joints and the relationship between force and its kinematics parameters. Finally, for a certain behavior path, a computation formula of the theoretical consumed energy is developed, and the relationship between energy consumption and the boom length of the structure is acquired. An energy consumption law of the movement structure of PAD under the given condition is obtained. The method presented in this study provides a theoretical basis for the design of ellipsograph-mechanism based PAD, and the energy consumption computation can be applied to many other structures for minimizing their energy and force.
An Improved Artificial Fish Cluster Behavioral Model and its Simulation
Authors: Yuan Hong Chun , Huang Si Hao , Chen Ying
Published: October 2013

Biological cluster behavioral models rarely discuss about group cohesion issues at present, which makes biological colony susceptible to external environmental factors and leads to the group readily partitioning into multiple small groups. In order to enhance group cohesion and improve colony effect, the paper takes artificial fish as the research object and proposes a new model on artificial fish cluster behavior. This model is improved from standard self-propelled particles model, utilizing topological distance to ensure surrounding neighbors and to restrain the cognitive level of artificial fish. Meanwhile, Sphere method based on bounding box is adopted to test collision and proposes a hybrid collision processing scheme that only applies to cluster behavior, aimed at avoiding the penetration phenomenon of artificial fish. Finally, Experiments have been conducted. Results show that this model can simulate the cluster behavior of artificial fish precisely and make the group cohesion stronger. The proposed method is a feasible solution to the cluster model problem of cohesion.
An Object Classification Approach Based on Randomized Visual Vocabulary and Clustering Aggregation
Authors: Su Li , Liu Jie Nan , Ren Lan Fang , Zhang Feng
Published: October 2013

Considering the problems with the conventional Bag-of-Visual-Words approaches, such as high time consumption, the synonymy and ambiguity of visual word, and instability of clustering high-dimensionality image local features, this paper presents a novel object classificaiton approach based on randomized visual vocabulary and clustering aggregation. Firstly, Exact Euclidean Locality Sensitive Hashing (E2LSH) is used to cluster local features of the training dataset, and a group of randomized visual vocabularies is constructed. Then, the randomized visual vocabularies are aggregated using clustering aggregation technique, resulting in Randomized Visual Vocabularies Aggregating Dictionary (RVVAD). Finally, the visual words histogram is generated according to the dictionary, and the Support Vector Machines are learned to accomplish image object categorization. Experimental results indicate that the expression ability of the dictionary is effectively improved, and the object classification precision is increased dramatically.
Coupled Vibration Modal Analysis of Synchronous Dual Ball Screw Feeding System
Authors: Rui Zhi Yuan , Tang Yu Lin , Feng Rui Cheng , Li Yong , Zuo Yan Rui
Published: October 2013

With the Synchronous Dual Ball Screw Feeding System used in a Milling-Turning compound machining center as the research object. For study the ball screw vibration modal, which using Lagrange established the dynamics equation and using the Lizs series expansion analyzing its various order modal coupling characteristics. Meanwhile using the ANSYS analysis to get the first three order vibration mode diagram and calculate the frequency corresponding to the critical speed for each rank. Through the analysis found that the screw pitch determine the modal coupling axial and corner, the workbench position and load quality changes, the screw vibration frequency also changes. Provide theoretical analysis for the analysis of dynamic characteristics of the next step.
Design and Analysis of a Multiple-DOF Bipedal Gait Test System
Authors: Mao Yen Chieh , Juan Dai Jia , Wen Sheng An , Tsai Wen Chi , He Jheng Ting
Published: October 2013

Gait rehabilitation is an important process of medical treatments on lower extremity injuries for human neuromusculoskeletal system. Benefiting from the medical device automation technology in recent years, robots achieve the rehabilitation in a professional, precise and continuous manner by integrating mechatronics, automation, computer science and communication technologies, improving the qualities provided by human therapists, the labor-intensive works. This research proposes a Stewart Platform-based measurement system for human gait rehabilitation and test purposes. Related works are collected and analyzed, fetching a brief understanding of the market. Human gait model is constructed in 3D Studio Max and the CAD model is established in Solidworks. This research forms the mathematic models of kinetics and dynamics and performs the footplate posture simulations by using these models.
The Method of Fast Frequency Response Testing Based on LabVIEW
Authors: Tian Feng , Si Hong Jie
Published: October 2013

This paper designs a virtual spectrum analyst based on LabVIEW,chirp signal is used for pumping signal of the system. A fast frequency estimation method is realized by the graph programming language LabVIEW. Compared with traditional virtual spectrum analyst, this method can better and faster measure amplitude-frequency characteristic and phase frequency characteristic. The interference factors emerged frequently during the data acquisition were described briefly, and the technology of verification and manipulation of the anomalous signals were studied.
Study on Calibrating Neutron Velocity Selector of Small Angle Neutron Scattering Instrument
Authors: Yu Zhou Xiang , Liu Yun Tao , Cheng He , Zhang Li , Chen Dong Feng
Published: October 2013

Neutron velocity selector is widely used on neutron scattering instruments as key component. To calibrate it (wavelength and wavelength-resolution-rate measurement), it is necessary to design calibration instrument and develop calibration technique. Based on small angle neutron scattering instrument (SANS) at China Advanced Research Reactor (CARR), instrument structure was designed and instrument parameters were determined. Count loss influence on measurement of wavelength resolution rate (WRR) was studied for the first time. Measurement error of WRR is decided by product of dead time and Gauss peak count rate (GPCR) and increases with increasing GPCR for the same dead time. In order to ensure WRR measurement error less than 0.9%, upper limits of GPCR for detector adjoining chopper and detector far away from chopper are less than 10000[s-1] and 2500[s-1] respectively. According to upper limits of GPCR, floor limit of total measurement time for each spectrum is calculated to be 6.66 minutes.
Impact of Frame Positioning Errors on Fuselage Panel Assembly Variation
Authors: Yan Wei Miao , Bi Yun Bo , Fan Xin Tian , Du Kun Peng , Wang Wei
Published: October 2013

This paper firstly establishes a finite element model of a fuselage panel, and then an assembly variation model is derived from the method of influence coefficients (MIC) and principal component analysis (PCA). With the calculation of Fisher information matrix and effective independence (EFI), 49 measurement points are extracted from a number of finite element nodes by the optimum selection method, and the mathematical relation between the position errors of measurement points and the positioning errors of frames is established, which is utilized to analyze the impact of positioning errors of each frame on fuselage panel assembly variation. Finally, the key frame that is important to ensure assembly accuracy and to improve the assembly process is determined.
Hybrid Slip Detection Scheme Based Reflex Control of a Prosthetic Hand
Authors: Li Xue Feng , Duan Xiao Gang , Deng Hua
Published: October 2013

Through the judgment of slip or not, human make proper adjustment to the grasping force and achieve stable manipulations. To reconstruct this function on a prosthetic hands platform, this paper presents a hybrid slip detect algorithm utilizing the PVDF sensor and FSR sensor. Then a reflex force estimation model is built to quantify the reflex force according to the intensity of slip in the reflex control process. Finally, through comparative experiments, the anti-jamming performance of the hybrid slip detect scheme is tested. A fuzzy controller is used to control the applied force and test the whole reflex control system. The results show that the hybrid slip detect scheme can make accurate judgment and has strong anti-jamming capacity; The output of the reflex force estimation model is accordance with the factual case; And as a whole, the grasping ability of prosthetic hand is substantially enhanced.
Accurate Shadow Modeling Algorithm for Simulation of Fringe Projection System
Authors: Li Wen Guo , Duan Shao Jun
Published: October 2013

We present some new idea to implement shadow modeling which is an important process for simulation of fringe projection system: The dot product between normal vector of object’s surface and vector that connecting projector lens centre and point on object’s surface, and the dot product between normal vector of object’s surface and vector that connecting camera lens centre and point on object’s surface are used to model the shadow on object’s surface. Our algorithm do not need to implement the calculation of the silhouettes of the occluders. Simulation result validates that the accuracy of our shadow modeling algorithm is same as shadow volumes algorithm, but our algorithm runs faster than shadow volumes algorithm.
Efficient Line-Surface Intersection Point Computing Algorithm for Simulation of Fringe Projection System
Authors: Li Wen Guo , Duan Shao Jun
Published: October 2013

We present an algorithm based on variable-step-iterative (VSI) to search line-surface intersection point, which is very important process for simulation of fringe projection system. Our VSI algorithm can avoid the difficult process such as finding iterative start point and selecting parameters to obtain a correct result. Simulation result validates the reconstructed RMS errors obtained by our VSI simulation algorithm are far smaller than those obtained by previous reported simulation method.
Design and Analyze of Optical System for High-Speed Three-Channel Framing Camera
Authors: Liu Chun Yu , Xu Tuo Qi , Xu Zhen
Published: October 2013

High-speed multi-frame camera has been widely used for time-resolved measurement of electron beam parameters (especially for high energy and high current beam) for its fast response and high resolution. According to the requirements of a electron beam observation experiment, a three-channel framing camera optical system is designed. The system has 300mm focal length, 2.5 F#, 200lp/mm resolution. To validate the design results, visual microscope and magnify methods are used to test the consistency of image quality of three image planes. Test results show that the system fully meet the design requirements.
Study on New Measurement Method for Visual Contrast Sensitivity
Authors: Zhang Ji Yan , Hong Bao Yu , Liu Wen Li , Zhou Tao Geng
Published: October 2013

Contrast sensitivity measurement is widely used in clinical ophthalmology to evaluate visual function of the human eye, and of great significance for early diagnosis and identification of ophthalmic diseases. On the basis of contrast sensitivity definition, current measurement method was analyzed. By analyzing the existing principles and shortcomings of the human eye contrast sensitivity methods, a new method for generating observation targets of contrast sensitivity was proposed. By using double optical path design idea with integrating sphere and self-developed brightness adjustment systems, two beams of uniform light with specific luminance could be produced. With subsequent reuse of the optical path, accurate measurement of eye contrast sensitivity could be achieved, and calibration of contrast sensitivity tester widely used in clinical practice could be solved by developing assistant transfer tools. Moreover, output parameters of this method could be precisely adjusted according to the need as a result it ccould achieve real-time control and calibration. The research result has set the foundation for future establishment of visual threshold measuring device which is especially suitable for scientific and experimental research in clinical ophthalmology and metrology.
Uncertainty Estimation of Probe Calibrations Using a Power Flux Density System of (18~26.5) GHz
Authors: Li Jin Yuan , Xie Ming
Published: October 2013

A method for the uncertainty estimation of probe calibrations using the power flux density (PFD) system of (18~26.5) GHz recently developed at the National Institute of Metrology, China is presented. A measurement model is developed first, and then the sources of uncertainty and the corresponding evaluation procedures are explained. The method is used to estimate the uncertainty of the calibration factor of a FP7050 probe at 18 GHz obtained by the PFD system. The good agreement between the calibration results from two PFD systems validates the method.