bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Thickness Control and Quantitative of Converter Lining
Authors: Zhao Hong Xin , Yuan Zhang Fu , Wu Yan , Pan Yi Fang , Li Shu Qing , Qi Tao , Wang Li Na
Published: October 2013

The thickness control of lining is vital to the normal operation of converter. Vulnerable parts of the furnace would be found and repaired timely by applying thickness measuring technique by laser. According to the measured results, the load part of the facet of the converter is the weakest location of the lining in the early campaign life, while the section of the trunnion is the weakest in the middle campaign life. When it comes to the later stage of campaign, the erosion of lining is severe. In line with the quantification of erosion parts, the lining thickness range can be divided into three parts, which are safety smelting area, stability control area and dangerous area. The economic life of the furnace life, which is 20 to 23 thousand heats, can be maintained as the thinnest lining is still above the stable range when the campaign reaches mid-late period.
Development on Shape-Adaptive Compliant Tool System
Authors: Zeng Yun Chuan , Zhan Jian Ming , Zhao Yu
Published: October 2013

A new shape-adaptive compliant tool system is developed in this essay, which can be effectually integrated with industrial robots and five-axis NC machines. The main principle of the above compliant tool system can be described as follows: a passive servo mechanism of bi-directional rotating sphere hinge, working with the robots to control the tool-path which can meet the requirements of the adaptive capability on free-form surfaces. The normal polishing force could be controlled by the designed linear stepping motor and column helix spring system. The virtual prototyping of the tool system is created in ADAMS, and used to take the simulating experiments on workpieces which have typical free-form surfaces. The experimental results indicate that the tool system developed in this essay performs well on shape-adaptive capacity on free-form surfaces.
Design of Digital K-Type Thermocouple Temperature Transmitter
Authors: Li Yao , Zhang Lei
Published: October 2013

The paper introduces a method of digital K-type thermocouple temperature transmitter design, which uses MAX6675, a digital K-type thermocouple converter, MCU and TTL/485 conversion circuit. MCU calculates thermoelectric potential of thermocouple by the result of MAX6675 firstly, and then obtains the temperature by reference tables of K-type thermocouple and linear interpolation method, and result is serial output in digital mode. The method can eliminate interference of analog signal transmission, and improve measurement accuracy.
Research of Selective Laser Melting Rapid Prototyping System
Authors: Qin Qun , Chen Guang Xia
Published: October 2013

The primary goal of this research is the development of SLM (selective laser melting) system, which including hardware system and software system (associated control software) .The hardware system is consisted of an YLR-200 Yb-fiber laser, a pre-place powder device, a K100 gas purification system and a CNC system. The software system can be divided into several modules such as STL file loading and viewing, model slicing, fill path generation and process controlling. The pre-place powder device is the most key part of SLM hardware, and its construction and design method were described in this article. The thickness of slice should be adjusted easily and controlled in the range of 0.01~1.0mm by the system, and laser scan velocity can attain 7m/s, and some examples are shown in this article.
Application of Ejector Technology to the Efficient Exploitation in the Low-Pressure Gas Well
Authors: Long Xue Yuan , Li Zhi Jun , Tian Yuan
Published: October 2013

According to the research status of spray and drainage technology at home and abroad, based on the basic design of the ejector, this paper designs the ejector geometry, and do numerical simulation and analysis for ejection and combination flow field inside the ejector by using computational fluid dynamics method, building structure design of ejectors with pressure-gain for low-pressure gas wells. Verified by numerical simulation and field tests, the results showed that ejector design method is reliable. The operation of the device at the scene is safe and stable, achieving such goals as using energy from high-pressure wells to drive the low-pressure wells to work stably; delaying pressurization and exploitation for gas wells, reducing the cost of production and management. Field experiment is very effective, providing a new channel for us to increase the pressure of low-pressure gas wells and exploit them.
Calibrating the Precision of a Contact Sensor for Displacement with a Piezo Nanopositioning Stage
Authors: Shi Guang Feng , Xao Wei , Shi Guo Quan
Published: October 2013

A calibration method of a contact sensor for displacement with a piezo nanopositioning stage is presented in this paper. The experiment system is set up, and an old contact sensor for displacement is calibrated by a P-622.ZCD precision vertical nanopositioning stage, which is tested for a good using status in the end. The calibrating results indicate the error regularity existed in the output values, and there is the stagnation phenomenon during the descending process of the stage after elevation.
Study on Underground Pipe Network of Radio Frequency Identification System
Authors: Wang Jun Hong , Wang Xin Bin , Liu Jin Mei
Published: October 2013

The underground pipe network identification system based on RFID technology is introduced. The research involves the embedded technology, radio frequency identification technology and communication technology. The system is composed of intelligent passive electronic tags and detector. Electronic tags are able to receive the transmitted signal of the detector, and then transmit their own information. Detector uses low power embedded system, with Chinese interface, communicate with computer. The information is written to the buried depth of 0.3 meters, and is read to 1.3 meters.Three meters in diameter of the circular area can be detected.
A Novel Fast Recovery Diode with Lower Emitter Efficiency
Authors: Liu Yue Yang , Bao Hai Long , Gao Wen Yu , Liu Jun , Wang Yao Hua , Jin Rui , Yu Kun Shan , Zhang Yu , Che Jia Jie
Published: October 2013

In this paper, a new structure of Fast Recovery Diode (FRD) and its manufacture methods were investigated. The active region designed by TCAD simulation software could achieve low emitter injection efficiency, and then reduce the peak reverse recovery current, improve the reverse recovery softness and increase working stability. Meanwhile, the effect of the P-body dose and carrier lifetime on the turn-off characteristic of FRD was also discussed. Taking an example of 3300V voltage grade devices for FRD, the reasonable P-body dose and carrier lifetime on the basis of the new structure were confirmed by simulations. This diode was suitable for the anti-parallel with power switch device (such as IGBT, GTO, etc.).
Refrigerant Air Conditioning Systems Operating in Coal Mine Feasibility Analysis Utilized
Authors: Li Mao Ren
Published: October 2013

With the increase of the coal mine exploitation depth and improvement in the coal mining mechanization, the coal mine of heat and mechanical processing equipment also significantly increased .the amount of heat. Heat injury in hot and humid and other problems have become more and more prominent. Practice shows that refrigerant air conditioning systems operating in the coal mine the mine effectively reduce the use of the temperature of coal face, miners working environment has improved and made better cooling effect.
Study and Simulation on Truck Front Suspension Using ADAMS
Authors: Bao Wei Ning
Published: October 2013

The mechanical system dynamics software,ADAMS,is used to establish multi-body dynamics system model for a truck front suspension and steering system. Through the simulation test of wheel travel, front wheel alignment parameters changing along with the wheel travel was obtained.
A New Bionic Topology Optimization Method Based Model of Bone Adaptation
Authors: Rahman Kaysar , Helil Nurmamat , Imin Rahmatjan , Geni Mamtimin
Published: October 2013

A new bionic topology optimization method by combining reaction-diffusion equations describing bone adaptation process with finite element analysis is presented in this study. The major idea of the present approach is to consider the structure to be optimized as a piece of bone that obeys bone adaptation and the process of finding the optimum topology of a structure is equivalent to the bone remodeling process. Two widely used numerical examples demonstrate that the proposed approach greatly improves numerical efficiency compared with the othert well known methods for structural topology optimization in open literature. The results show that the optimal designs from the present bionic topology optimization method without use mathematical programming and numerical instability control techniques. The proposed method results in a better and faster convergence.
Resource-Constrained Wireless Sensor Network Information Decision Fusion in Ocean Environment
Authors: Yuan Xiao Guang , Feng Dong Zhu , Deng Jian , Bai Yuan Jie
Published: October 2013

In order to solve the decision information fusion issues of resource-constrained wireless sensor network, several decision information fusion rules under exponential distribution fading channel are investigated in this paper. At first, optimal likelihood ratio rule is given. The detection performance of this fusion rule is best, however, this rule acquires channel information which is too costly for resource constrained sensor networks. To solve this problem, suboptimal likelihood ratio fusion rule is proposed which requires only the knowledge of channel statistics. In addition, the reduced forms of the suboptimal are also derived, in the case of extreme channel signal-to-noise ratio (SNR). Theoretical analysis and simulations show that suboptimal fusion rule needs much less computation and information, yet exhibits only slight performance degradation. Suboptimal fusion rules are practicable for resource constrained wireless sensor networks decision information fusion system working in ocean environment.
Collapse Simulation of Plane Irregular Isolation Structures Subjected to Near-Fault Seismic Motion
Authors: Du Yong Feng , Zhu Xiang , Li Hui , Wang Guang Huan
Published: October 2013

Isolation as an effective means of shock absorption in some of the earthquake to show good performance and has been increasingly applied to practical engineering. However, it had a negative impact on long-period structures and isolated structures seismic performance in near the earthquake zone. Meanwhile, in the vicinity of near-fault for the torsion response of plane irregular base-isolated structure can not be ignored. Therefore, the paper uses the universal finite element software to analyse irregular plane isolated structure’ collapsed performance and anti-seismic structure’ collapsed performance under the near fault ground motion. The results show that plane irregular non-isolated structures appear earlier than the isolated structures of plastic hinge and easier to collapse.
The Obstruction to the Use of Building Information Modeling in China
Authors: Liu Hua , Liu Yang , Xin Tian
Published: October 2013

Building Information Modeling (BIM) is an innovative tool and Production Process,which is a typical application way of information technology in construction industry. The rapid development of BIM has brought about a gigantic revolution in construction industries of Europe and the United States and other developed countries. In China, only some big design institutes are or have been applying this technology.This paper concretely analyses the situation and the barrier of using BIM in China, expounds its application prospect in China based on the relationship between BIM technology and the related parties.
An FPTAS for Uniform Machine Scheduling to Minimize the Total Completion Time and the Total Rejection Penalty
Authors: Wu Dan , Luo Cheng Xin
Published: October 2013

In this paper, we study the NP-hard problem of schedulingjobs onuniform machines to minimize the total completion time of the accepted jobs and the total rejection penalty of the rejected jobs. Each job's processing time is a simple linear increasing function of its starting time. A job can be rejected by paying a penalty cost. We propose a fully polynomial-time approximation scheme (FPTAS) to show the problem is NP-hard in the ordinary sense.
Research on Dynamic BOM Based on Manufacturing Resources of Supplier
Authors: Tu Jian Fei , Zhang Yuan Long
Published: October 2013

In the supply chain environment, manufacturing enterprises need to consider the availability of the manufacturing resources from suppliers in their plan. In this paper, through analysis to the BOM of supply chain environment, a new dynamic BOM model is proposed based on the manufacturing resources of supplier, its characteristics and key establishment points are discussed, and its application in the barrel of the washer is introduced.
The MPS Model of Node Enterprises in Manufacturing Network under Uncertain Environment
Authors: Zhang Qing Shan , Qi Xiao Xia
Published: October 2013

External environment, information retrieval and productive process exist many uncertain factors.When making production plan,enterprises must take the uncertain parameters into account.This paper summarizes the characteristics of manufacturing network and define the node enterperise in manufacturing network;It discusses information uncertainty in manufacturing network and uncertainty in the process of production.It has in depth analysis of MRP formulation process under the environment.The perspective and methods of research on MRP has been given and it has certain enlightenment function for further research.
The Applied Model and Simulation for MEMS Vibration Accelerometer Sensors
Authors: Deng Chang Jian
Published: October 2013

Micro-electro-mechanical systems (MEMS) have played an important role in sensor applications. When applied it in new fields, should answer the following questions: how to use it, how to investigate its work performance, why should use it and so on. To do simulation, the MEMS accelerometer Simulink model of ADXL series, the simple virtual reality model made by vrbuild2, and Sugar3.1 for windows are studied and integrated in the paper. Though compare with vibration test signal, the simulation results show this integrated method have advantage of straightforward, simple, effective.
Study on Decision-Making System and its Data Mining Application of Logistics Intelligent
Authors: Wang Xun
Published: October 2013

The most useful function of data mining technology is extracting valuable information and knowledge from irregular data. This paper briefly described the steps of data mining technology, elaborated logistics intelligent decision-making system components, proposed an improved genetic algorithm, took logistics distribution center location problem as argumentation. Applied data mining technology to logistics smart decisions, it can improve service quality, and establish long-term friendly and cooperative relations with customers.
Uniform Machine Scheduling Problem with Deteriorating Jobs and Rejection
Authors: Zhao Sheng Hua , Luo Cheng Xin
Published: October 2013

In this paper, we consider uniform machine scheduling problem with deteriorating jobs and rejection. Each job's processing time is a linear nondecreasing function of its starting time. A job can be rejected by paying a penalty cost. The objective is to minimize the sum of the makespan of the accepted jobs and the total rejection penalty of the rejected jobs. We propose a fully polynomial-time approximation scheme (FPTAS), which shows that the problem is NP-hard in the ordinary sense.
The Design and Implementation of New Energy Enterprise Internal Control Evaluation System
Authors: Wu Yun Na , Yin Yan Wen , Jiao Li Qiang
Published: October 2013

Enterprise internal control evaluation system is an organic entirety, is a systematic project, which is an important component of enterprise internal control. The development of new energy enterprises has some features, for example, the long value chain cycle, the large initial investment costs, the big risks. The urgent affairs of our countrys new energy enterprise is overcoming their own defects on the basis of the internal control system running at low cost, and fully seize the good opportunity. So, a set of perfect internal control evaluation system is crucial now. On the base of enterprise internal control theory, this paper combines with the characteristics of new energy enterprises, formulates new factors and index of energy enterprise internal control evaluation, and uses analytic hierarchy process (ASP) to establish the system of evaluation index system. Finally, implement this system by development tools such as MySQL and MyEclipse.
Establishment of NC Technology Specialty Practice Teaching System Based on PETOE
Authors: Jiang Zhuo Da , Jiang Yin Feng
Published: October 2013

The establishment of Numerical Control (NC) technology Specialty Practice Teaching System for a plan for educating and training outstanding engineers (PETOE) is an important basic work to implement the plan. By analyzing the problem existed in NC technology Specialty practice education,we rais the new idea of reformation of practice teaching system based on PETOE.The enterprise in-depth participants talents training,structures the multi-level NC technology Specialty practice teaching system. Organize and optimize the imparting knowledge and building capacity during the process. Taking advantages of different education environment and resources of school and enterprise which meet the requirements of outstanding engineers knowledge,ability and quality. It is absolutely imperative to change idea of engineers training from cognitive styles to innovation-oriented by constructing the practice teaching system, dispatching and training first-class professional and technical personnel for NC industry.
International Scientific Collaboration in Nanobiopharmaceuticals and Decision-Making
Authors: Zhao Qing Jun
Published: October 2013

Nanobiopharmaceutcs is a good example of the convergence technologies and it is an important means of synergy and integration of technology convergence. This study takes use of scientometric method and indexes to analyze the international status and power distribution in the field. A few papers about bibliometrics make use of the knowledge of the calculus.
Issues in Students' Computer Skills
Authors: Gnitetskaya Tatyana N. , Gnitetskiy Pavel V.
Published: October 2013

Our study is devoted to the influences on students success in mastering the computer. Intensive development of information technology, such as mobile wireless technologies, in education has lead to unrealized opportunities in education: distance learning, mobile learning. The issue of teaching computer technologies has been intensifying as teachers are following the technology innovation progress slower then their pupils. Our aim was to find out what influences students computer skills. We analyzed some factors in tests of Russian, Japanese and American students with ages of 15, 16 and 17. Attained results helped us to state some proposals and recommendation.
Research of Knowledge Management during Products Design Process
Authors: Xue Dong Juan , Gao Tian Yi , Pan Ying , Mu Guang Yu
Published: October 2013

To improve the knowledge management during product design process, a new model of knowledge composition and knowledge activity is constructed within or between organizations and persons. And based on the analysis of knowledge acquisition, transfer and innovation, the strategy for the implement of knowledge management project is proposed. At last the functions and structures of a software system are provided that supporting the knowledge management for product design in an manufacturing enterprise.
A Simple Deterministic 0-1 Measurement Matrix for Robotic Embedded Vision Compressed Sensing
Authors: Liu Ji Zhong , Ma Ru Yuan , Mo Yuan Bin , Jin Ming Liang
Published: October 2013

Embedded environmental vision is a key issue for robotics. However, the image data is large, which usually will seriously affect the system processing speed and performance. Aiming at the feasibility and the real-time performance of robotic embedded vision system, by combining the up-to-date compressed sensing technology, a novel wavelet sparsity based simple deterministic 0-1 measurement matrix (0-1SDMM) is designed. The simulation results in matlab environment show that the 0-1SDMM has better performance than traditional Gaussian matrix in reconstruction result and reconstruction time. It provides an important reference for the future robotic embedded vision system.
Algorithm of Lane Detection on an Appropriate Limited Region
Authors: Ma Xing , Mu Chun Yang , Zhang Chun Tao , Zhang Lu Ming
Published: October 2013

This paper proposed a lane detection algorithm for urban environment. The algorithm was concerned on selecting an appropriate limited region of interest (ROI) by OTSU segmentation. Then candidates of lane markers were extracted by Canny, finally the lane boundaries were detected by Hough transform. The limited ROI helps to identification lane in an appropriate region. This process have the effect of enhancement in the speed of operation. The proposed algorithm was simulated in MATLAB. The test databases were shared by Fondazione Bruno Kessler (FBK). The experiments show that lane boundaries can be detected correctly although they are fade. Feature-based method is usually affected by intension of image. Several characteristics of roads need to be considered further for detection more precisely.
An Improved Compressive Sensing Image Fusion Algorithm Based on NSCT Transform
Authors: Wu Yan Hai , Yan Di , Ma Meng Xin , Wu Nan
Published: October 2013

A modified compressive sensing image fusion algorithm is proposed in this paper that is based on the NSCT transform. The algorithm is improved by introducing the theory of compressive sensing into image fusion that uses the NSCT transform to make a specific image be sparse on which only the high frequency coefficient is specifically measured; The improved algorithm then process the image fusion by retrieving the maximal value of the gradient of the neighborhood average from the measured high frequency coefficient, and accordingly, maximizing the absolute value of the neighborhood variance to the low-frequency counterpart. Afterwards, the improved algorithm can reconfigure the fusion image by using the MSP reconfiguration algorithm with final deliverable of the fusion image by committing to the NSCT reverse transform. Simulation results show that the improved algorithm is superior to other hand-on algorithms both in visual effect and in objective evaluation. In the case that the storage and transmission data are limited, the algorithm comes forth better effect of image fusion that is verified to be possesses of high value in practice.
Study on Compressed Sensing Recovery Algorithms
Authors: Zhu Ying , Jia Yong Xing , Rong Chuan Zhen , Yang Yu
Published: October 2013

Abastruct. Compressive sensing is a novel signal sampling theory under the condition that the signalis sparse or compressible.In this case,the small amount of signal values can be reconstructed when signal is sparse or compressible.This paper has reviewed the idea of OMP,GBP and SP,given algorithms and analyzed the experiment results,suggested some improvements.
Research on Image Scene Semantics Recognition System
Authors: Yin Li Jie , Zhen Ya , Fan Qi Li
Published: October 2013

In order to get better image Semantics recognition, in this paper, a scene Semantics recognition system based on fuzzy reasoning is presented. The system contains three parts: image preprocessing, target recognition, and fuzzy reasoning machine. Compared with other methods, the outputs of pattern classifiers are fuzzed, the fuzzy relationships between targets are extracted, and fuzzy inference is performed using fuzzy automata. The experiment indicates that this method could overcome the problems of false positive and false negative of pattern classifiers, and perform relatively more accurate image semantics recognition than other existing methods.
Dynamic Parameters Equivalent Modeling of Bearings Joint Surfaces Based on the Virtual Material
Authors: Wang Lian Bao , Hu Xiao Qiu , Chen Wei Fu
Published: October 2013

As commonly supporting parts of the spindle and the feed systems on the high-end grade CNC machine tool, dynamic characteristic of angular contact ball bearings had been a research hot spot in the current. Aiming at solving the problem that obtained the dynamic stiffness and damping of angular contact ball bearings, the factors of joint surfaces dynamic characteristic were equivalently viewed as a kind of virtual material in the paper, and an equivalent model of dynamic parameters for bearings joint surfaces was proposed based on the virtual material; an experimental device was developed to test the bearings dynamic parameters. The comparison of experimental results and simulation results showed that modal parameters of bearings could be accurately analyzed by the proposed modeling approach, and the relative errors of corresponding vibration frequencies in the radial and the axial directions could be controlled within 7%.
Detecting Tower Cranes in Images
Authors: Yin Hai Ming
Published: October 2013

In this paper, we present a new detection algorithm for tower crane. First the objects are segmented by an improved J-SEG algorithm, and then the geometric characteristics and luminance information are used to identify the tower crane objects. Experimental results indicate our algorithm can deal with most of the tower crane images, and it is suitable for the track object initialization in the video surveillance.
Image Quality Assessment Method Based on Fractional Fourier Transform
Authors: Wang Bin
Published: October 2013

Image quality assessment is an important issue in the area of image processing, and the no-reference image quality assessment tries to evaluate the quality of image without the reference image. The present no-reference image quality assessment approach can not predict the quality score accurately. This paper proposes a new image quality assessment approach based on two-dimensional discrete fractional Fourier transform (FRFT). After the image is processed by two dimensional discrete fourier transform, the histogram of FRFT coefficients in different order are modeled by generalized Gaussian distribution (GGD). The parameters of GGD are estimated and the feature vector is formed by parameters of GGD. After that, the image is classified into five distortion type by the trained support vector machine. At last, the quality score is predicted by the trained support vector regression machine. The experiment results show that the performance of proposed method is better than the traditional method.
The Analysis and Application of the Third Dimension Speech Signal Spectrum
Authors: Niu Gang , Cao Wen Bin , Zhang Ya Jun , Chen Guo Shun , Yang Qian Kun
Published: October 2013

As to the speech signal processing problems under the complex voice environment, the characters of speech harmonic and the structure of voiced harmonic are discussed in this paper. In the third dimension frequency domain, quadratic Fourier transform algorithm based on logarithmic amplitude-frequency characteristics is used to propose the concept of the third dimension spectral harmonic ratio" by the behavior of the quasi-sinusoidal characteristics of the speech short-time Fourier spectrum slicing, which is cosider to be an important basis to discriminate speech activity detection. The concept of third dimension spectral harmonic ratio maks the speech signal as a special signal, and separate from the other noise signal completely. For voice noise outside the speech segment, it is no longer need to discuss its own characteristics and without the need for pre-processing to shield the noise accurately, which bring new ideas for the speech signal detection in the complex noise environment.
The DSP Low SNR Speech Enhancement System Based on Two-Level Wiener Filtering
Authors: Niu Gang , Cao Wen Bin , Chen Guo Shun , Yang Qian Kun , Zhang Ya Jun
Published: October 2013

In the field of military communications, the SNR of speech signal is low because of the additive noise,. The two-level Wiener filter is adopted to analysis the noise characteristics. The DSP system architecture solutions are given out in this paper.The algorithms of the PSD mean module, Mel scale filter bank module, voice activity detection module and gain control module are introduced in detail. Finally, the application results are given out, which indicate that two Wiener filter can achieve better results, in short stationary noise environments when face the low SNR.
Flow Field Numerical Simulation of Straight Line Conjugate Internal Meshing Gear Pump
Authors: Guo Jin Jin , Liu Li Chao , Chen Peng Wei , Zhao Qiao Lan
Published: October 2013

In the designing of the straight line conjugate internal meshing gear pump, it is very important for us to analyze its flow field performance. In this paper, FLUEN is utilized to analyze its flow field which bases on moving grid computing ,the paper can get factors that structure impacts on performance. The work provides reference and a certain theory foundation for optimization of the gear pump and straight line conjugate internal meshing gear pump will be widely used in engineering machinery.
An Image Enhancement Method in Mixed Space
Authors: Li Qun Li , Li Li Sha , Xiao Feng
Published: October 2013

An image enhancement method in mixed space is proposed in this paper, it combines the Laplace operator and the Sobel operator, gives full play the advantages of the two algorithms. It shows that the image enhancement effect of the mixed spatial method is better than the Laplace method and gradient method, through the enhancement experiments to the same image in the three ways, comparing and analyzing the results of their treatment.
Research on Bolt Crack Detection Method Based on Image Processing
Authors: Liu Jin Qiu , Zhang Bing Fa , Wang Yu Zeng , Li Guang Ya , Han Jing Ru
Published: October 2013

A method of non-contact detection of bolt fracture have serial steps as follows: First of all the required data is obtained through image acquisition, then through the edge detection, image recognition and other image processing on the image to get the bolt fracture identification results, finally the non-contact measurement bolt fracture is realized. Experiments show that bolt crack detection method based on image processing, compared with the traditional detection methods improve the efficiency of detection and improve the detection accuracy. The method for bolt crack detection is feasible.
On Encryption of Data by Compressed Image with Embedded User's Information
Authors: Yang De Yun , Hou Ying Kun , Li Xiu Zheng
Published: October 2013

An effective method is offered which generate registering numbers by compressed image with embedded the personal characteristic information. To guarantee the ownership of software and the integrity of the data, under the installation procedure of the data, related registering numbers are produced which embedded the users some characteristic image information. Little difference between any two users' identification information can generate a big difference between the registering numbers.
Hyperspectral Data Analysis for Detecting Lead Pollution in Rice
Authors: Zhu Wei Hong , Xu Cheng Zhe
Published: October 2013

This paper presents a new method for detecting lead pollution in rice by analyzing hyperspectral data. First, preprocessing method is used to remove the outliers which deviate so much from other hyperspectral data. Then, dimensionality-reduced data are made by using discrete wavelet transform. Finally, linear discriminant analysis is utilized to extract the feature which characterizes polluted and unpolluted rice. The experimental result based on the proposed method shows the good performance in detecting lead pollution in rice.
Numerical Simulation of Underground Plant Rhizome Detection
Authors: Du Sheng Long , Peng Shu Sheng , Xu Feng , Wu Li
Published: October 2013

Attention is put on FDTD algorithm to simulate electromagnetic travelling underground with XFDTD software in this paper to get echo data of underground plant rhizome. A reasonable simulation model is established with some permittivity and conductivity, and choice of grid size and absorbing boundary is supposed to simulate detecting ability for plant rhizome. Adding noise model is supported and wavelet threshold de-noising algorithm is used to process echo signal with noise, and root mean square error (RMSE) is obtained with different SNR. At the same SNR, the relationship of target echo and object size is presented.
Research of Fault Diagnosis of Coalmine Motor Bearings Based on Scale Adaptive Lifting Wavelet Transform
Authors: Wu Jian , Wu Nan , Lv Feng
Published: October 2013

For Rolling of the mine key equipment is damaged easily the problem which is machinery fault diagnosis,through the failure mechanism of the reload / variable load conditions and the weak fault signal characteristics of coal mine electrical equipment bearing are analyzed, a more refined analysis of the vibration signal and achieve coal mining equipment online monitoring and Intelligent Fault Diagnosis system is constructed directly by scale adaptive lifting wavelet transform
Research on the Approximate Establish Condition of the Scattering Center
Authors: Liang Zi Chang , Gao Wei , Wang Xiao Bing
Published: October 2013

According to the matrix relationship between the induced source and an incident wave in the electromagnetic scattering theory, the formula connecting the scattering center parameters and the matrix element are deducted, and matrix diagonalization and aggregation approximation of the induced source and the incident wave is pointed as the main establish condition of scattering center. Based on the conclusion, the scattering center distribution of a metal plate is given; the RCS error of the scattering center approximate model is analyzed. It is demonstrated that the approximate establish condition of the scattering center is valid.
Demand Forecasting Model of Port Critical Spare Parts Based on PSO-LSSVM
Authors: Song Zhi Jie , Fu Zan , Wang Han , Hou Gui Bin
Published: October 2013

Demand forecasting for port critical spare parts (CSP) is notoriously difficult as it is expensive, lumpy and intermittent with high variability. In this paper, some influential factors which have an effect on CSP consumption were proposed according to port CSP characteristics and historical data. Combined with the influential factors, a least squares support vector machines (LS-SVM) model optimized by particle swarm optimization (PSO) was developed to forecast the demand. And the effectiveness of the model is demonstrated through a real case study, which shows that the proposed model can forecast the demand of port CSP more accurately, and effectively reduce inventory backlog.
A MSVM Quality Pattern Recognition Model for Dynamic Process
Authors: Liu Yu Min , Zhou Hao Fei , Zhang Shuai
Published: October 2013

Quality abnormal pattern recognition for dynamic process is the key problem to achieve the online quality control and diagnose of automatic production. Firstly, this paper analyzed the quality patterns of dynamic process. Secondly, we established recognition model of quality recognition in dynamic process using MSVM and compared the SVM recognition accuracy of different kernel functions for different quality patterns. Simulation experiment indicates that different SVM classifiers should choose specified kernel functions to recognition quality patterns. At last, we established MSVM recognition model of quality pattern in dynamic process using multi-kernel function according to the experiment results.
The Research of Timing-Optimal Trajectory Planning Based on Improved Genetic Algorithms
Authors: Gou Zhi Jian
Published: October 2013

The algorithm has been improved to the adaptive genetic operators and flow based on the basic theory of simple genetic algorithm and adopted elitism strategy to select the best individual for iterative operation. Program the operation process in the MATLAB software. The improved genetic algorithm not only ensured better global search performance, but also improved the convergent speed. The optimal solution was obtained by the improved genetic algorithms under the kinematical constraints.
An Idea of Dynamics Inductive Logic in Complex Cognition
Authors: Xu Shui , Liu Bang Fan , Ma Xiu Li
Published: October 2013

As humankind enters the era of organized social cognition, the collective wisdom of the human form needs to face a very complex social conditions and the social environment. In such circumstances, more likely to use social cognition inductive logic. The accumulation and wealth of society knowledge will be more and more abstract representation to promote social awareness, and promote more in-depth characteristics from behavior to inductive references, while ignoring or rarely used to from the nature of the behavior of deductive reasoning. In dynamic cognition conditions, the fusion method is using the following branches of cognitive logic, dynamic logic and probability logic to combine to form a probabilistic dynamic cognition logic, and logic to study the use of these information changes in probability reference. In complex cognitive conditions, the pursuit of knowledge as the basic logic of the value of research areas, including philosophy logic, artificial intelligence logic, computer logic, fuzzy logic and so on.
The Research of PID Controller Tuning Based on Parallel Particle Swarm Optimization
Authors: Han Xiao Gang , Wang Feng , Fan Jiang Wei
Published: October 2013

Particle Swarm Optimization (PSO) is a good method to tune PID controller. But it doesnt work well enough in the application condition of high real-time requirement and control accuracy. This paper describes a parallel PSO algorithm for PID controller tuning. We designed the parallel algorithm and realized it in multi-core and message passing interface (MPI). We developed the test system using Visual C # 2008, and the performance experiment shows that the algorithm has satisfied tuning accuracy, speedup and efficiency.
Task Cooperation and Behavior Coordination of Multi-Robot Environment Exploration Based on Artificial Potential Field
Authors: Li Chao , Qin Shi Yin
Published: October 2013

This paper presents a new approach to multi-robot exploration of unstructured environment in which both multi-robot task cooperation and behavior coordination strategies are implemented. The task cooperation is achieved by assigning exploring goals to robots dynamically in a cooperative way, and the behavior coordination of robots are carried out with modified artificial potential field to assure a balanced distribution along the frontier areas as soon as possible. In this way, unnecessary detours are avoided so as to make the exploration process more efficient. A series of simulation results demonstrate that the task cooperation and behavior coordination among multiple robots are well implemented to distribute various robots over the unknown complex environment properly and accomplish the exploration mission effectively.
A Novel Algorithm to Improve Network Lifetime of Wireless Sensor Networks
Authors: Ma Rui , Liu Yan Cheng , Wang Chuan
Published: October 2013

One approach to extend the network lifetime is to divide the deployed sensors into disjoint subsets of sensors, or sensor covers, such that each sensor cover can cover all targets and work by turns. The more sensor covers can be found, the longer sensor network lifetime can be prolonged.This study propose a novel hybrid genetic algorithm (NHGA) comprising both basic generic operations with a fitness-improving local-search strategy to divide all wireless sensor nodes into a maximum number of disjoint set covers (DSCs). The simulation results show that NHGA outperforms the existing methods by generating more disjoint set covers and prolongs network lifetime.
Passenger Flow Forecast of Urban Rail Transit Based on Support Vector Regression
Authors: Xia Bin , Kong Fan Yu , Xie Song Yuan
Published: October 2013

This study analyses and compares several forecast methods of urban rail transit passenger flow, and indicates the necessity of forecasting short-term passenger flow. Support vector regression is a promising method for the forecast of passenger flow because it uses a risk function consisting of the empirical error and a regularized term which is based on the structural risk minimization principle. In this paper, the prediction model of urban rail transit passenger flow is constructed. Through the comparison with BP neural networks forecast methods, the experimental results show that applying this method in URT passenger flow forecasting is feasible and it provides a promising alternative to passenger flow prediction.
Application of Neural Network in Fault Diagnosis of Anti-Lock Braking System
Authors: Zhang Wen Xia , Yang Dong , Wang Yuan , Guo Hua
Published: October 2013

Intelligent diagnosis technology has been one of the hotspot researches with the artificial neural net. Anti-lock braking system (ABS) is an important safety device of automobile. In this paper, using BP neural net, established the fault diagnosis neural net model of ABS, training and diagnosing the net by the fault samples. The results show that this method is feasible. The simulation is done by using MATLAB.
The Optimization Design of I-Beam Based on Multi-Objective Cellular Genetic Algorithm
Authors: Wang Yun , Zhang Yi , Liu Zheng , Hu Fang Jun
Published: October 2013

Multi-objective cellular genetic algorithm is obviously superior to the traditional multi-objective evolutionary algorithms in terms of testing performance of algorithm. However, the algorithm still needs to be used in practical engineering problems. In consideration of the above, this paper tries to apply the multi-objective cellular genetic algorithm to solve the problem of design of I-beam. Finally, the results show that multi-objective cellular genetic algorithm has more advantages than the traditional multi-objective evolutionary algorithms in solving this kind of multi-objective problems, no matter in uniformity or expansibility of best solutions.
A Study on Particle Trajectory of Particle Swarm Optimization
Authors: An Zhen Zhou , Zhou Hui , Yang Yang , Shi Xin Ling
Published: October 2013

For studying the sensitivity of PSO to control parameter choices, this paper proposes a special model of PSO theoretically. This model divides the position sequence of particle into the odd and even sub-sequences. The theorem demonstrates the position sequence of particle is affected by the parameter choices, the initialized position and velocity. Simulations for benchmark functions illustrate the validity of the odd-even property of particle trajectory.
Finite Element Modal Analysis of Ball Screws Linear Guide Feed Unit
Authors: Xu Xiang Rong , Song Xian Chun , Jiang Hong Kui , Li Yan Feng
Published: October 2013

With the high-speed and high-precision development of CNC machine tool, the vibration problem of ball screws linear guide feed unit has become more and more prominent. The dynamic characteristics was analyzed for ball screws linear guide feed unit, the 3D finite element model was built, the finite element modal analysis was discussed, the natural frequency and vibration modes were obtained, which were compared with the test results. The vibration weaknesses of ball screws linear guide feed unit were found out. The results show that the vibration weaknesses of ball screws linear guide feed unit occur mainly in the ball screws and its connection part with the worktable, its natural frequency are affected by its supporting pattern, and more close to the test results compared with those of ball screw feed unit without considering linear guide, which provide theoretical basis for the structure optimization of ball screws linear guide feed unit.
Research on the Active Value-Added Services System Based on Grid Collaboration
Authors: Fang Chen , Li Hao , Zhou Jian , Zhao Ming Yu
Published: October 2013

In order to proactively provide value-added services for the electric vehicles, it proposes a three-tier grid-based collaborative design system framework. Dynamic and scalable wireless network based on grid collaboration can get mobile position of electric vehicles as well as exchange information among vehicles. Then it reduces the computational load on the backend server. By integrating power, transportation, municipal, and other areas of mass data meteorology, it can predict user needs based on characteristics of electric vehicles analytical model, and then provide users with real-time proactive value added services. This method avoids the presence of the GPS signal shielding and other shortcomings. The use of active value-added services better meets needs of customer.
A New Generation Diagnosis System Based on Artificial Neural Network in Diagnosing Child Attention Deficit/Hyperactivity Disorder (AD/HD)
Authors: Wang Na
Published: October 2013

This paper introduced a new generation diagnosis system based on artificial neural network in diagnosing child Attention Deficit/ Hyperactivity Disorder (AD/HD). We give in detail the construction of the training set, including using computer to simulate thinking modes of human brain, to establish an artificial intelligence expert system for diagnosis and treatment of child AD/HD based on artificial neural network. The research can help the younger doctors to learn abundant clinical experiences of senior child psychiatrists and can help children of AD/HD throughout the country.
Study on Power Transformer Fault Risk Assessment Method
Authors: Cao Yong Xing , Shen Xing , Peng Qian , Liu Fan , Yan Xiao Hu , Zhang Hai Long
Published: October 2013

Based on more than three hundred transformer accidents and some statistics data related, this paper manages to draw a standard classification table of transformer failure. 5 degrees of failure possibilities are classified in the paper: extremely high, high, general, low, extremely low. Besides, 4 major factors that affects risk of transformer failure severity are studied: direct lossmonitoring levelmaintenance cost and maintenance period. Also, failure severity of each risk source are classified into 5 levels: not serious, mild, ordinary, less serious, and serious, and Extensional Analytic Hierarchy Process (EAHP) and Extensional Project Appraisal Methods are used to evaluate the severity of risk of transformer failures. Last but not least, risk matrix has been built and divided into four parts: high risk area, critical risk area, medium risk area and low risk area. On that top, some maintenance strategies are proposed accordingly.
Research of an Improved Snail Image Recognition Method Based on Grayscale Template Matching
Authors: Zhang Yin E
Published: October 2013

As the lack in the accuracy and speed of the template matching algorithm for the snail image in the complex environment, the snail source image and the template image have the appropriate scaling in order to improve their sizes in the traditional algorithm. The new algorithm avoids the very big and accurate characteristics about the snail images through shrinking the source images down. The grayscale template matching method is put forward based on the traditional template selection set to prevent that the error caused by human factors on the selected template, the redundancy between the templates is removed in a large extent, further the accuracy of the matching is improved, and the matching time is reduced greatly in the case of matching accuracy guarantee.