bluuebunny/crossref_metadata_2025 huggingface dataset:
The Sensitivity of the Focused Ultrasonic Method Used in Inclusion Testing of the Thick Steel Specimen
Authors: Zhang Guo Xing , Hua Yun Song , Shen Yan Wen , Yang Hong Wu
Published: November 2013

For the task of evaluating the inclusions in the steel specimen under high efficiency testing condition, it is important to make it clear that what testing sensitivity the ultrasonic method can reach for a specimen of large size, especially a thick one. In this paper, this problem is researched and discussed. Before experimental researching, we simulated the focused ultrasonic field formed in the steel specimen by DPSM (Distributed Point Source Method), the frequency ranges from 7.5MHz to 15MHz. DPSM analysis reveals that the ultrasonic field of certain strength can be formed in the thick steel specimen of coarse grain, and the focused transducer of 15MHz is suitable for the inclusion evaluation of thick steel specimens. Then, with the help of a precise micro-step C-scan equipment and the 15Mhz transducer (13mm Diameter, 255mm focal length), the ultrasonic test sensitivity research work was carried out on the thick steel specimen, by the way of testing the inclusions which's size were as tiny as possible, and located as far from the testing surface as possible, and at last, the ultrasonic detection results were testified by mechanical dissection. The dissected inclusions which can be tested are grouped into 8 different grades by its size, it is demonstrated that the deepest inclusion can be tested in the specimen is about 80mm beneath the testing surface by ultrasonic method, and reflection area is about 0.02mm2, equivalent to a circle inclusion of diameter 0.16mm. In addition, there are some semi-quantitative relationships can be drawn among the grade of inclusion, the location depth of inclusion in the specimen, and the reflected ultrasonic signal strength from the inclusion, this give a way of evaluating the inclusion size in the thick steel specimen by the focused ultrasonic method.
Research on Curvature Mode Characteristics of Damaged Simply Supported Beam
Authors: Shang Xin , Xu Yue , Ren Geng Feng
Published: November 2013

This paper approaches the rules of curvature mode and curvature mode difference about a simply supported beam. On the basis of the theory of curvature mode, through numerical simulation analysis of simply supported beam on four conditions, the result of simply supported beam with curvature mode and curvature mode difference were obtained. The results show that for the damaged beam information with numerical simulation, the curvature mode and curvature mode difference index calculated by difference method at the unit length unevenly is with strong noise, which can even submerge the beam damage information, and for different damage index of the beam, damage information from curvature mode difference curve is stronger and effected by unit length weaker than those from curvature mode curve, and damage information from curvature mode curve and curvature mode difference curve decrease with the increasing mode order.
Study on Working Performances and Factor Combinations of ASU
Authors: Zhou Chang Jun , Wang Wei , Ge Yang , Ma Yue
Published: November 2013

Focus on the performances of ASU, this paper utilized Lagrange equations to build the modeling of ASU and comprehensively analyze the work performances including shock resistance, synchronization and stability by use of orthogonal experiment methods under nine different operating conditions of coupling horizontal, rolling and pitching movements. From simulations of the work system in the velocity of 5~15(m/s), rolling angular velocity of 0~12 (rad/s), pitching angular velocity of 0~6 (rad/s), the results can be obtained under combined 3-factor and 3-level work conditions: the optimized combination is the speed in range of 10~15 (m/s), rolling angular velocity of 4~8 (deg/s) and pitching angular velocity of 4~6 (deg/s) and whole work performances fulfill the designed requirements.
Determining the Content of Nitrogen of Water in Lower Yellow River by Isotopic Analysis Method
Authors: Wu Jun Sen , Jia Rui Bao , Wang Li Li , Liu Chen Chen
Published: November 2013

The optimal˰̹̹̳̿̾˰̵̸̷̵͈̳̱̾˰̸̷̸̳̱̱͉͂̿̽̈́̿͂̀˰̴̱̾˰̴̹̹̼̼̱̹̓̈́̈́̿̾˰̵̸̴̽̈́̿̓˰͇̱̓˰̸̵̱͆˰̵̵̲̾˰̵̴̓ͅ˰̈́̿˰̴͉̓̈́ͅ˰̸̵̈́˰̵̲̓̈́˰̵̵̵͈̹̱̼̀͂̽̾̈́˰̴̳̹̹̿̾̈́̿̾̓˰̶̿˰̸̵̈́˰̵̹̱̾̈́͂̈́˰δ15N pretreatment in Lower Yellow River: basic anion exchange resin has been used, the best length of column was 3.00cm and the flow rate of water sample was 900mL/h, which were the best adsorption conditions; KCl was used as the eluent and the elution flow rate was 15mL/h ; the distillation time of eluent was 50min, 0.7g Devard's alloy and 75mg zeolite were used, the absorb liquid was 15ml HCl. The water samples was sent to Mass Spectrometert after pretreatment, the results showed that the nitrate contamination was mainly from nitrate nitrogen fertilizers and sewage in the reservoir flowing into the Yellow River.
Dimensional Synthesis of 3PRS Parallel Mechanism Based on a Dimensionally Homogeneous Analytical Jacobian
Authors: Li Yong Gang , Xu Li Xin , Wang Hui
Published: November 2013

Jacobian matrix plays a crucial role of kinematic synthesis of a parallel mechanism, however, can not directly be used for its nonhomogeneous physical units. This paper proposes the detailed formulation of the dimensionally homogeneous analytical Jacobian of 3PRS parallel mechanism. After defining a kinematic index and the design variables, the sensitivity that the index varies with dimension parameters is performed. Based on the two chosen case, it is also conducted that the index distributes in the prescribed workspace. Then, the kinematic characteristics of the system are discussed. These results provide the informative insight for choosing the optimal solution of the dimension parameters of 3PRS.
Inverse Dynamics Formulation and Analysis of a Parallel Manipulator with 3DOFs Based on the Virtual Work Principle
Authors: Li Yong Gang , Xu Li Xin , Wang Hui
Published: November 2013

Dynamics formulation is a primary task for dynamic optimization, control strategy design and servomotor parameters estimation of the parallel manipulator (PM). In this paper, by using the simple operation form of reciprocal screw and Lie Algebra, the compact expressions of complete Jacobian and Hessian matrix are derived. Then the inverse dynamics of 3PRS parallel manipulator is formulated based on the efficient principle of virtual work. In this model, the generalized forces of both actuation and constraint can be solved. Finally, a numerical simulation example is given to demonstrate this simple yet effective approach.
System Identification of Underwater Vehicles with ML Algorithm
Authors: Wang Jian Guo , Hu Gang Yi , Jiang Chun Meng
Published: November 2013

Maximum-likelihood (ML) and its relaxation algorithm are discussed which are used to identify the mathematics model of an Underwater Vehicle (UV). With trial data of zigzag tests, the hydrodynamic derivatives of the UV were estimated, and the better astringency of the relaxation algorithm can be acquired from the contrast between the two methods. A simulation environment based on these parameters is established to verify the validity and effect of these methods. The result shows the model is credible and the methods are very useful for the research of maneuverability and intelligent control of underwater vehicles.
The Realization of Serial Communication in Temperature Control Instrumentation
Authors: Chen Jia Cong , Li Jin Yao , Yang Ming , Li Ji
Published: November 2013

This paper is based on the high-precision temperature control system and focuses on the realization of the serial communication module.
Calculation of Nodes and the Application of CNC Welding Machine by Equal-Error Method to Approach Plane Curve of Cam Contour with Helix
Authors: Dong Xing Hui , Tao Guang Yao
Published: November 2013

Based on the characteristics of the welding of equal linear velocity of CNC welding machine, this article expounds the calculation of nodes by equal-error method to approach plane curve of cam contour with helix, and some characteristics of the method in the Welding process. Calculating by VC++ Program, we can find the distribution of maximum error and the nodes of plane curve of Cam Contour with CNC welding system of this method. With the system, the program can simulate the trajectory of the soldering point.
Implementing Master-Slave P2P Mapping Paradigm in Semantic Enterprise Information Integration: An Illustrative Case Study
Authors: Zhou Jing Tao
Published: November 2013

Master-slave P2P mapping principle proposed in our previous work [ is a semantic P2P mapping paradigm with modularity and loosely coupled characteristics. The intent of this paper is to define a common case study of this paradigm for the semantic information integration. The domain of the case study is a semantic P2P information integration system called SGII[, i.e., system that help in information coordinating and interoperating by orchestrating the content and formalization expression of master-slave P2P mapping between elements from different peer node models which represent the data exposed (shared) by data sources. Furthermore, an illustrative example of master-slave P2P mapping paradigm is given to explain how the mappings are implemented and to demonstrate the paradigm can hence be applied in semantic information integration scenarios.
Dynamic Maintenance Data Mining of Traffic Sign Based on Mobile Mapping System
Authors: Li Dan , Su Wen Ying
Published: November 2013

A dynamic traffic information system is an essential component of an intelligent transportation system. Mobile mapping system (MMS) is a new technique that can be used to improve capability of the information gathering. Article describes the measurement system based on mobile mapping system increased relevant software and hardware that can be used to collect maintenance information of traffic sign. Build a dynamic traffic sign maintenance information system with the function of rapid acquisition and analysis, these improve the accuracy and immediacy of traffic sign maintenance information processing.
Detection Resolution of Acoustic Microscopy in Micro-Scale
Authors: Peng Kai , Xu Chun Guang , Guo Xiang Hui , Xiao Ding Guo
Published: November 2013

Scanning acoustic microscopy (SAM) is a powerful non-destructive testing tool used in the field of electronic package, micro-and nanomaterial and medication. The capability to distinct how minimum of defect is very important to detect the flaw in electronic packages. The detection resolution of SAM depends on the frequency of ultrasonic focus transducers. In this paper, the Multi-Gaussian Beam model to simulate the sound field of the focused transducers is discussed. Mainly the frequency domain imaging algorithm and 2D-Deconvolution method for better image quality and high resolution is analyzed. Finally, the calibration experiments for the detection resolution of 100MHZ transducer is carried out. In addition, the micro flaws with different dimensions are observed at different defocusing location. It is concluded that the detection resolution decreases with the deviating from focus plane, so the flaws should be sensitive on the focus area by precisely controlling the vertical position for better detection resolution.
Investigation of On-Chip Hot Spot Cooling Using Microchannel Heat Sink
Authors: Wu Yun Chuan , Xu Shang Long , Wang Chao
Published: November 2013

With the increase of performance demands, the nonuniformity of on-chip power dissipation becomes greater, causing localized high heat flux hot spots that can degrade the processor performance and reliability. In this paper, a three-dimensional model of the copper microchannel heat sink, with hot spot heating and background heating on the back, was developed and used for numerical simulation to predict the hot spot cooling performance. The hot spot is cooled by localized cross channels. The pressure drop, thermal resistance and effects of hot spot heat flux and fluid flow velocity on the cooling of on-chip hot spots, are investigated in detail.
Numerical Study of Pulsating Flow Frequency and Heat Transfer in Porous Channel Heat Sink
Authors: Wang Chao , Xu Shang Long , Wu Yun Chuan
Published: November 2013

A study has been conducted on the heat transfer of various oscillatory frequencies of pulsation flow through a porous channel network subjected to a constant wall heat flux. The surface temperature distributions, pressure drop, unit thermal resistance and local Nusselt number for different oscillatory frequencies were mainly investigated.
The Optimal Design of Cold Extrusion Die and its Realization
Authors: Cheng Yan , Zhang Li Wen
Published: November 2013

According to the structure optimization of combined extrusion die, using finite element method to establish parametric model and optimize the combination die, compare the results with the result of Lame formula to prove the correctnesss of finite element method; and adjust the structure of concave of die basing the optimal result, so as to reduce the stress concentration and the maximum equivalent stress value on the concave mould, and thus the life-span of the die is prolonged.
The Design of the Mini-Type Handling Machine for Crops
Authors: Chen Yan Hong , Liu Zi Fan
Published: November 2013

Design a mini-type machine to be broadly used for the handling of the heavier crops aiming at the problem of labor shortage in the countryside. This facility is composed of elevator mechanism, rotation mechanism, capture mechanism, traveling car etc. The general structure design to this mini-type handling machine is given and the stress analysis and calculation to the major structure is conducted; it can greatly reduce labor intensity, raise production efficiency and working quality.
Progress of Graphene-Based Composites for Adsorption of Pollutants in Wastewater
Authors: Zhou Min , Luo Ling Ling , Zhong Shu Xian , Yang Jing Yi , Chen Jian Rong
Published: November 2013

Graphene-based composites show much better adsorption capacity and other properties than single graphene under the same operating conditions. This paper summarized the different kinds of graphene-based composites removing various heavy metals and organic pollutants in wastewater.
Constitutive Modeling of Dynamic Recrystallization Behavior of GH80A Superalloy
Authors: Wang Hong Ke , Zhang Li Wen , Gu Sen Dong , Quan Qiu Hong , Shen Wen Fei
Published: November 2013

The dynamic recrystallization (DRX) behavior of GH80A superalloy was investigated by isothermal compression tests on a Gleeble1500 thermomechanical simulator. True stress-strain curves and deformed specimens were obtained at the temperature range of 1273-1473K and the strain rate range of 0.01-5s-1. Experimental results show that the stress-strain curves at low strain rate display a typical DRX characteristic. By regression analysis of experimental results, Materials constant n, activation energy Q and Zener-Hollomon (Z) parameter were determined, and the critical strain model and austenite grain size model for dynamic recrystallization were established as a function of deformation temperature and strain rate. The dynamic recrystallization kinetic model for GH80A was established on the basis of the Avrami equation.
Simulation Analysis of Fixed Bed Reactor for Au-Cu Non-Mercury Catalytic Acetylene Hydrochlorination
Authors: Wang Lei , Shen Ben Xian , Ren Ruo Fan , Zhao Ji Gang
Published: November 2013

A two-dimensional pseudo-homogenous mathematical model was established according to the Au-Cu non-mercury catalytic reaction kinetics. The Crank-Nicholson method was used to solve the equations on the basis of experimental data. The results showed that a violent reaction at the entrance of the fixed bed reactor led to a hot spot in the acetylene hydrochlorination reaction over the Au-Cu Non-mercury catalyst. The conversion increased rapidly initially, and then flattened gradually in the axial direction. The result of simulation provided valuable data to optimize the design of reactor and the industrial operation conditions.
Design of Mobile Learning System Based on Cloud Computing
Authors: Nong Zheng
Published: November 2013

The application of cloud computing technology provides a new idea for the development of mobile learning.Based on the analysis of the advantages of cloud computing to support mobile learning, The paper presents a complete design and application of mobile learning system based on cloud computing ,effectively to promote independent learning and collaborative exchange of the students, but also to provide the reference for the solution of mobile learning system based on cloud computing.
An Improved Anti-Collision Algorithm Based on Binary in RFID System
Authors: Zheng Xue Feng , Zhang Lu
Published: November 2013

How effective and efficient to deal with the collision of tag identification is an important issue in RFID systems. In this paper, based on the existing binary anti-collision algorithm, added a sleep status bit to reduce data redundancy of readers sending commands and reduce the number of sending command by changing the order of search tag which the reader sent, and got an improved algorithm. Then used MATLAB to simulate this algorithms advantages in data amounts and sending times.
A Middle-Ranking Cadre of Universities Evaluation Management Information System Based on SOA
Authors: Li Zhi Biao , Nie Guo Lin , Zheng Qun , Liu Hong , Liao Chun Hua
Published: November 2013

In order to meet various needs and realize software reuse, a middle-ranking cadre of universities evaluation management information system (MCE-MIS) based on SOA is proposed. It is a loosely coupled, protocol independent information system integrating existing information systems such as Personnel and Performance MIS. After analyzing the requirement of the system, the cadre evaluation flowchart, use case and system integration solution are described in detail. SOA provides a solution to set up low-cost, open and flexible integration system in universities.
Study on Data Warehouse Based Equipment Support Data Management
Authors: Xie Feng , Sun Jiang Sheng , Liang Wei Jie , Dai Dong Sheng
Published: November 2013

There are more and more data produced in equipment management systems. For decision making, we must collect and integrate all kinds of data and information from different management systems. By analyzing the distributional and heterogeneous data resources, the architecture of equipment management data warehouse is proposed in this paper. We discussed important components of data warehouse for equipment support. The components include metadata, data market, data granularity and data partitioning. By discussing the organization of the data warehouse from the macroscopic point of view, the equipment support data management system with the function of decision making will be used in the future.
Architecture Model of FMS Based on Multi-Agent Technology
Authors: Zhang Han , Guo Rui Feng , Geng Cong , Bu Xiao Fei
Published: November 2013

The concept of flexible manufacturing system (FMS) has been purposed to improve flexibility and efficiency of manufacture system. Characteristics and operating mechanism of FMS is analyzed in this paper. Fuzziness and distributive of the Multi-agent system can meet the requirements of building FMS platform. On the basis of the theory mentioned above, this paper proposed an architecture model of FMS based on multi-agent technology. At last, the communication between the agents in the system was researched and designed. The introduction of multi-agent technology not only provides a feasible method of building FMS platform system, but also helps to lucubrate the architecture of FMS.
Study of the Establishment of a Local Fitness Network System Platform
Authors: Xiao Bing , Wang Ji Tao
Published: November 2013

The authors provide a new idea and approach for national fitness service, and to create a service mode for the fitness industry in China, expatiated on the significance to establish a local fitness network system platform,analyzed such characteristics of platform establishment as quick, interactive, unique and differentiated service, determined the basic framework and core contents of the platform, established the platform in such aspects as local fitness network platform website, platform fitness management system and comprehensive system platform database, run the platform according to such two running modes as internal circulation and external circulation, rationally adjusted the contents of various modular subsystems based on different user feedbacks, and put forward requirements for platform running in practice.
A Method of Numbered STL File Format for Recording Data
Authors: Zeng Li Li
Published: November 2013

The paper has proposed an improved method of recording data in STL file format against disadvantages, such as high repetition of recording triangular meshes data and complex computation of vertex coordinate. Vertexes and normal vectors of triangular meshes are renumbered, and meshes data expressed by coordinate is changed into data stored by number. It facilitates the recording of triangular meshes data of depth images and provides a more simple way for establishing data storage model.
Research on Security Algorithm for Crossing Heterogeneous Network Based on Unified Communication Technology
Authors: Chen Ying Ying , Yang De Long , Zhai Ming Yue
Published: November 2013

Under the condition of unified communications within heterogeneous network environments, due to the presence of unified security measures such as network protocol, encryption firewalls and so on, communication within the network environments in good availability and security. As a result of the large number of business networks and significant network level in current communication network for electric system, heterogeneous network is applied in all aspects of its communication. However, in order to guarantee the availability, the safety of heterogeneous network is reduced. After studying the issues and current situation about crossing heterogeneous network, this paper makes a further research on symmetric key cryptography and asymmetric key cryptosystem, and then proposes a composite encryption algorithm based on the RSA algorithm and improved DES algorithm. Finally, the algorithm is proved to have a good security by case analysis.
An Ant-Colony Routing Algorithm for Wireless Sensor Network
Authors: Cui Guang Cai , Wang Shan Shan , Fang Jing Jing
Published: November 2013

According to real-time and limited energy of the wireless sensor network (WSN), this paper proposed an ant-colony algorithm (ACO) for optimal routing. The algorithm limited the search space to next node based on search angle and designed directional pheromones to guide ants to the destination node. Using negative feedback mechanism encouraged later ants to choose the optimal path. When ants are timeout with limited life cycle, go back along the way and reduce the pheromone. Probability-transfer function contained the factors of distance, energy, pheromones and search angle. Compared with other ACOs, the results show that it can balance the energy consumption and improve the routing in aspects of energy, dead nodes, short path and time delay.
A Robust Audio Information Hiding Algorithm Based on DCT and DWT
Authors: Li Jian Yong , Yang Yan Qiu , Li Rui
Published: November 2013

First the entire host audio is decomposed by wavelet to several frequency bands, then Select an frequency band which is insensitivity to the human ear hearing and its corresponding wavelet coefficients to hide information. Those coefficients are separated to some segments, and at the same time convert those segments to DCT domain. The watermark can be embedded to the DCT direct current coefficients. Experimental results show that the watermarked audio has good imperceptibility. By contrast with other algorithms in DCT domain, this algorithm has better robust performance, which is robust against different kinds of attacks, such as noise, low-pass filtering, resampling, echo, Mp3 compression.The robustness and the imperceptibility about watermarked audio reach a good balance.
Proxy-Based Security-Feedback Trust Model in MP2P Network
Authors: Cao Xiao Mei , Zhu Hai Tao , Shen He Yang , Chen Gui Hai
Published: November 2013

Trust problem is a key issue for Mobile P2P (MP2P) network security. In MP2P network, terminals addressing mode, communication way and display identifier are different to traditional P2P network. Some security issues such as: malicious slander and collusion, free ride phenomenon, are even more serious compared to traditional P2P network. Aimed at these above issues, a Proxy-based Security-Feedback Trust Model (PSTM) is proposed. Different types of terminals access to different proxy servers to shield the discrepancy between different terminal equipments on MP2P equipment access network layer. Meanwhile, proxy servers can reduce the problem of single point failure with method of trust related tables backup and recovery. Certificate Feedback Raters identification and qualification through security resource-selection protocol then integrate trust information according to similarity of terminal and resource types with weight. Furthermore, set global contribution value and evaluation value in multi-granularity trust computation to motivate mobile peers honest feedbacks. Divide mobile peers direct trust value into peer-oriented and resource-oriented values to make trust feedbacks more authentic. Simulation experiments show that PSTM can reduce malicious slander and collusion effectively. It also can restrain self-ish peers free ride behaviors and increase successful cooperation rate of high-contributed nodes in MP2P network.
Multi Queries Methods of the Chinese-English Bilingual Plagiarism Detection
Authors: Chen Hong Ye , Vines Phil
Published: November 2013

Cross-language plagiarism detection identifies and extracts plagiarized text in a multilingual environment. In recent years, there has been a significant amount of work done involving English and European text. However, somewhat less attention has been paid to Asia languages. We compared a number of different strategies for Chinese-English bilingual plagiarism detection. We present methods for candidate document retrieval and compare four methods: (i) document keywords based, (ii) intrinsic plagiarism based, (iii) headers based, and (iv) machine translation queries. The results of our evaluation indicated that keywords based queries, the simplest and most efficient approach, gives acceptable results for newspaper articles. We also compared different percentage of keywords based query, and the results indicated that putting 50% keywords into queries can obtain the satisfied candidate documents set.
A Simple and Effective Method for Traffic Flow Density Detection
Authors: Wang Wei , Ma Yong Gang , Wang Xian Chang
Published: November 2013

There has been a lot of research on traffic flow density detection in recent years. In this paper, we propose a simple and practical method for traffic flow density detection through using the multiple pairs of infrared photoelectric sensors and STC15F2K60S2 as the main controller. This method can be used for the multiple cars two-way or multi-way side by side traffic flow density detection. The circuit is simple, accurate and efficient. The proposed method is economical and practical. Thus it can promote the progress of urban traffic management.
Research on the Multi-Parameter Modeling of Submarine Sediment Prediction
Authors: Luo Zhong Hui , Xiao Qi Jun , Wu Jun Lan
Published: November 2013

It is presented in this paper the technology of principal component analysis and analyze existing empirical equation and its calculation errors. A principle component model is then built up using the measurement data of sediments from the continental slope and shelf in southern South China Sea. It is also studied in theory how to exclude correlated parameters from a number of parameters that can affect the sound velocity and how to optimize a few parameters that are obviously related to sound velocity without cross-correlation. Using the optimal physical parameters, such as porosity n, median grain size Md (φ) and plastic limit Wp, a three-parameter forecasting equation of sound velocity is established for the continental shelf and slope in southern South China Sea.
Sorting 4DCT Images Using Locally Linear Embedding
Authors: Luo Zhao Hui , Xi Zai Fang
Published: November 2013

Respiratory motion degrades anatomic position reproducibility, and result in significant errors in radiotherapy. 4D computed Tomography (4DCT) can characterize anatomy motion during breathing. Usually, the acquired 4DCT images sequences is out of order. How to rearrange the sequence, i.e. sort 4DCT images has been the focus of 4DCT. In this paper we propose a method based on locally linear embedding (LLE), to reconstruct time-resolved CT volumes. By mapping high dimensional image data with LLE into one dimensional space, each image is assigned a value, then 4DCT images is sorted according to the value to reconstruct a respiratory cycle. Experiments result shows that the method is feasible to sort 4 DCT images without using any external motion monitoring systems.
Anti-Jamming Performance Simulation of PN-LFM Combined Ranging System
Authors: Ding Zhe Feng
Published: November 2013

The pseudo-random binary-phase code phase modulation and linear frequency modulation (PN-LFM) combined ranging system is a new detection system, which has proven to be powerful capacity in range resolution, velocity resolution and maximum range measurable without ambiguity. In this paper, we study the anti-jamming performance of the new ranging system, especially in the fractal stochastic noise environments. We analyze the impact mechanism of fractal noise on the PN-LFM detection system, and simulate the output of correlating detection. The cross correlation function, power spectrum function and average power of pseudo random signal and fractal noise are deduced, compared with the impact of white noise on the pseudo code detection system. Simulation shows that PN-LFM combined ranging system possess powerful anti-jamming capacity, and performs better in the fractal noise environment than Pseudo random code phase modulation system.
A Switch On/Off Relaying Scheme in TDMB Cooperative System
Authors: Ren Jin
Published: November 2013

Terrestrial Digital Multimedia Broadcasting (TDMB) is one popular broadcasting standard that enable digital television transmissions to hand held receivers and cooperative system take advantage of the broadcast nature of wireless channels, uses relay stations as virtual antennas. Relay stations are an attractive solution to penetrate the wireless system with lower transmitting power at the Base station. In this paper, we presented a scheme can switch on/off the power weighting ratio between Base station and Relay station in TDMB cooperative system. It will control the active relays in different channel propagations effectively.
Urinary Sediment Detection Device Design and Test
Authors: Bai Hua Juan , Feng Ji Hong , Li Kai Xiang , He Hao
Published: November 2013

In this paper we build up a set of simple urinary sediment detection device which is composed of a biological microscope, focusing mechanism, and CCD camera. We apply this device in urinary sediment detection to verify its feasibility. In our experiment, the urinary sediment quality control diluted 200 times is dropped into quantitative analysis plate to detect on the device. We watch and count the number of red and white blood cells in 30 counting pools. Microscopic images are clear and the number of red and white blood cells in these images fluctuates around the average value. Experimental results show that our device is feasible in urinary sediment detection.
Weld Pool Weld Width Prediction Based on Artificial Neural Network
Authors: Liu Xiao Gang , Liu Le Ting
Published: November 2013

In the COgas shielded arc welding, the weld pool forms is closely related to the quality of welding,but weld pool shape is affected by the welding process parameters. By using BP neural network to predict weld puddle weld width, the results show that the experimental data are very close, thus indicating that prediction of weld width through this network method is very effective.
A Novel LLR-BP Algorithm for LDPC Codes Based on Taylor Series and Least Squares
Authors: Zhang Xing Ru , Li Jian Ping , Cai Chao Shi
Published: November 2013

An effective log-likelihood-ratio-based belief propagation (LLR-BP) algorithm is proposed. It can reduce computational complexity of decoding algorithm for Low Density Parity Check (LDPC) codes. By using the Taylor series and least squares, high order multiplication based on the hyperbolic tangent (tanh) rule is converted to a first-order multiplication and addition after simplification. Moreover, all the logarithmic and exponential operations disappear without significant loss of the decoding performance. The simulation results show that the performance of the proposed scheme is similar to the general LLR-BP. In particular, we show that the modified algorithm with low complexity can achieve better BER than the other decoding algorithm in high signal-to-noise ratio region.
Clustering Algorithm for Multiple Data Streams Based on Data Cloud Node
Authors: Li Sa , Shao Liang Shan
Published: November 2013

Multiple data streams clustering aims to clustering multiple data streams according to their similarity while tracking their changes with time . This paper proposes M_SCCStream algorithm based on cloud model. Algorithm introduces data cloud node structure with hierarchical characteristics to represent different granularity data sequence and takes the entropy indicated the degree of data changes. Algorithm finds micro_clustering with the minimum distance and then obtains the clustering result of multiple data streams through calculating the correlation degrees of micro_clustering. The experiment proves that the algorithm has higher quality and stability.
The Blurring and Restoring Process of the Moving Object Images
Authors: Sun Hong Hui , Wang Hong Xia , Li Min , Song Jian She
Published: November 2013

For the relative motion between an imaging system and its objects, it results in motion-blurred images in acquiring images. The physical theory of motion-blurred images for moving objects are analyzed in this paper, then the motion-blurred process is researched to establish blurring-model and the essential elements of the process are extracted to form the expressions. The every grey scale value of images pixels is computed and processed to form the motion-blurred images, then based on the contradictorily computing analysis, the restoring model of blurring imaging is established and the restoring expressions are gained. The processing courses of motion-blurred and restoring images are achieved by computing program VC++. The simulation experiments show that the method of images process can be used to make motion-blurred images and restoring images when the objects motion is two dimensions uniform velocity rectilinear motion effectively.
Signal Processing Based on Mathematical Morphology
Authors: Wang Hui , Li Qi
Published: November 2013

The traditional vibration signal de-noising method has the disadvantage of inefficiency and incomplete information acquisition.The signal processing method based on mathematical morphology has the advantage of simple calculation, good in real time, little time delay, and can help filter while maximizing retention the basic characteristics of the signal analysis process. This article is based on mathematical morphology dilation, erosion, opening and closing the four basic operations, carried out the vibration signal de-noising processing, simulation and experimental results show that the method is effective and practical.
Two-Camera Phase Measuring Profilometry System
Authors: He Guang Hong , Huang Ying Zhou , Wang Xiao Yong
Published: November 2013

The profilometry of three dimensional objectives based on phase approaching of projected grating is widely used in various fields of application engineering. In this paper, two cameras are equipped in our system to obtain fast and static measurement compared to the conventional measuring system with single camera which needs rotated measurement. Algorithm of phase unwrapping based on reliability is also adopted to improve the performance which avoid the breakage of projected grating. Experimental data indicates the measurement error of this Two-camera phase measuring profilimetry system is within 1%. This new profilometry system has great potential application value in the profile measurement of static three dimensional targets.
An Improved Variable Precision Rough Sets Weighting Model for Healthy Housing
Authors: Tan Li , Wang Xiao Yao , Yu Chong Chong , Xie Gui Long
Published: November 2013

Classical rough sets method makes knowledge absence in the key domain and affects the comprehensiveness of the index system after simplification, so an improved variable precision rough sets weighting model is proposed on the basis of variable precision rough sets theory. In the model, attributes are divided into first-class core attributes and second-class attributes, and core attributes are still calculated by the importance of the attributes in rough sets theory. The importance of second-class attribute is μ times of the core attributes’ minimum importance degree. Then normalize the importance degrees and convert them to weights. In the evaluation of the health of sound living environment, the model we proposed has lower error rates compared to other methods and the evaluation results demonstrate to be valid.
Fast Fuzzy Search for Mixed Data Using Locality Sensitive Hashing
Authors: Lee Kyung Mi , Lee Keon Myung
Published: November 2013

The drastic increase in data volume strongly demands efficient search techniques for similar data to queries. It is sometimes useful to specify data of interest with fuzzy constraints. When data objects contain both numerical and categorical attributes, it is usually not easy to define commonly-accepted distance measures between data objects. With no efficient indexing structure, it costs much to search for specific data objects because a linear search needs to be conducted over the whole data set. This paper proposes a method to use locality sensitive hashing technique and fuzzy constrained queries to search for interesting ones from big data. The method builds up a locality sensitive hashing-based indexing structure only with constituting continuous attributes, collects a small number of candidate data objects to which query is examined, and then evaluates their satisfaction degree to fuzzy constrained query so that data objects satisfying the query are determined.
Evaluation Methods for Medical Endoscope's Characteristics
Authors: Hong Bao Yu , Li Fei , Sun Xin , Ren Hong Wei
Published: November 2013

Medical endoscopes have gained widespread applications in minimally invasive surgery. There are increasing needs to accurately evaluate their performance characteristics which are beneficial to the product design, manufacture, repair and supervision. This paper gives a review of the measurement methods for the imaging and photometric characteristics of the endoscopes, such as resolution, modulation transfer function, light loss, illumination uniformity, which are very important for the evaluation of the image quality. In actual measurement, the verification of a test device itself and the uncertainty assessment or error analysis of the measurement results are also very necessary from the view point of metrology.
Motion Target Detection of Birds Based on Adaptive Background Update Mechanism
Authors: Zhang Xue Wu , Ling Ming Qiang , Zhou Zhuo Yun , Zhang Zhuo , Li Min , Fan Xin Nan
Published: November 2013

In view of the natural environment variability and uncertainty makes observations of some birds behavior complex and difficult, this paper proposes a Surendra adaptive background updating algorithm based on global threshold, which can update background automatically according to the environmental changes, and then extract the birds target region of interested by background subtraction and morphological filtering. The experimental results show that the birds moving target detection of video-captured has a good extraction effect.
Image Restoration with Lucy-Richardson Algorithm
Authors: Zhao Fen Xia
Published: November 2013

Motion blur is a phenomenon common to nearly all photographs. Moving objects in the scene or camera movement during the exposure progress lead to blurred images. Lucy Richardson (LR) algorithm has been used to process image restoration of motion blur. In this paper LR algorithm would be discussed. The simulation experiment result shows the PSF plays an important role in the image restoration with LR iterative algorithm.
Fusion of SAR Image Using Stationary Contourlet Transform
Authors: Fu Kui , Zhang De Xiang , Yan Qing , Zhang Jing Jing
Published: November 2013

The stationary contourlet transform is built upon nonsubsampled pyramids and nonsubsampled directional filter banks and provides a shift invariant directional multiresolution image representation. Firstly, several SAR images can be decomposed into low-frequency coefficients and high-frequency coefficients with multi-scales and multi-directions using the stationary contourlet transform. For the low-frequency coefficients, the average fusion method is used. For the each directional high frequency sub-band coefficients, the larger value of horizontal and vertical direction gradient information measurement is used to select the better coefficients for fusion. At last the fused image can be obtained by utilizing inverse transform for fused contourlet coefficients. Experimental results show that the proposed algorithm gives more satisfactory results than the traditional image fusion algorithms in preserving the edges and texture information.
The Fault Diagnosis Algorithm of PLS-LSSVM Process Based on Base Vector Space
Authors: Lv Ning , Jiang Lei Lei , Li Guang Liang
Published: November 2013

The method of least squares support vector machine has been improved based on base vector space theory, which solved the problem of weak handling ability of nonlinear, sparsity and variable multiple correlation in the fault diagnosis process for LSSVM. This article proposed a double sections fault diagnosis algorithm combined PLS with LSSVMBVS, it first builds regression analysis model, then puts the detected fault data in the trained LSSVMBVS classifier, diagnosing troubles. It verified the algorithm has better prediction accuracy and generalization performance by the TE platform.
The Security Evaluation Index Architecture and Evaluation Model with RFID System
Authors: Luo Heng Feng , Liu Rui Qi , Wang Ying Kai
Published: November 2013

People pay more attention to the security of RFID, this paper establishes the evaluation index architecture of RFID security, Then according to these indexes for the evaluation of the RFID system security which based on fuzzy synthetic evaluation model, all of this is to evaluate the security of RFID system.
Research on Big Data Management for High-Speed Railway Equipment
Authors: Shao Yi Qi , Liu Ren Kui , Wang Fu Tian , Chen Ming Dian
Published: November 2013

With the rapid development of high-speed railway, the equipment life-cycle management data are generated in large scales which run through the period of production, operation, maintenance, falling into a notion of Big Data. There is broad recognition of value of data and information obtained through analyzing it. The exponential growth in the amount of railway-related data means that revolutionary measures are needed for data management, analysis and accessibility. At present, the promise of data-driven decision-making is now being recognized broadly. How to store the big data efficiently, reliably and cheaply are important research topics. This paper proposes a framework of data management of high-speed railway equipment, where cloud computing provides a feasible technical solution combined with MapReduce programming model based on Hadoop platform. These models are capable of considering the characteristics of data and processing demand in management of High-speed railway equipment. Finally, we summarize the challenges and opportunities with Big Data for application of China railway and point out there is more than enough that we can work on.
Exploiting Saliency Filters and Domain Knowledge for Saliency Estimation
Authors: Zeng Jian Qin , Chen Wei , Zhang Guang Zheng , Guo Kai
Published: November 2013

Saliency estimation has become a valuable tool in image processing and raised much interest in theory and applications. Despite significant recent progress, the performance of the best available saliency estimation approaches still lags behind human visual systems. In this paper we used saliency filters and domain knowledge in photography to estimate saliency. Experiments show that our method can successfully detect the true salient content from images.
A Fast Implementation of DPM-Based Facial Landmark Localization
Authors: Cao Ke Ming , Li Yan Long , Chen Jian Sheng , Yang Chang , Wang Meng , Shao Huan , Su Guang Da
Published: November 2013

Face detection, pose estimation and facial landmark localization are three fundamental problems in pattern recognition. These three tasks have high request of algorithm efficiency and accuracy. Zhu and Ramanan proposed a model based on mixture of tree structures to solve the three tasks simultaneously and it obtains state-of-the-art result. However, the efficiency of their algorithm is relatively low. Our improved algorithm combines Viola Jones detector and tree-structured model and achieves a speed-up of tens of times even hundreds of times of original algorithm on ordinary laptop according to images of different sizes.
Study of the Transducer Fault Diagnosis Module for Fire Alarm System
Authors: Liu Min Lin , Liu Bo Yun
Published: November 2013

As for different systems, there are much more intelligent algorithms for the sensors fault diagnosis. Some improvements and alternatives can be applied to several aspects of research. Many sensors fault modality are non-linear or general higher dimensional shapes to the diagnosis problem thus allowing to model arbitrarily complex failure phenomena. In the paper, the transducer fault diagnosis module introduces the information fusion basing on RBF neural network and the redundancy calculation, it shows that the failure of the fire alarm sensors can be detected and rehabilitated.
Inverse Constrained Maximum Variance Mapping for Face Recognition
Authors: Zhang Qi Rong , Gu Jia Nan , Zhang Ming Fu
Published: November 2013

Li et al. [Pattern Recognition 41 (2008) 3287 -- 329 proposed the constrained maximum variance mapping method. The CMVM is globally maximizing the distances between different manifolds. We find out that globally minimizing the distances between the same manifolds can have better recognition than CMVM method on the Yale face database, ORL face database and UMIST face database. Hence we propose to use an inverse constrained maximum variance mapping method (ICMVM) which can be seen as the inverse Laplacian Fisher discriminate criteria. Experiment results suggest that this new approach performs well.
Knowledge Based ε-Support Vector Regression Method
Authors: Shi Ying Zhong , Xu Min , Liu Pei Lin , Li Ping
Published: November 2013

The classical regression systems modeling methods only consider the single scene, which has the weakness: partial information missing may weaken the generalization abilities of the regression systems constructed based on this dataset. A regression system with the Knowledge transfer learning abilities, i.e. Knowledge Based ε-Support Vector Regression (KB-ε-SVR for brevity) is proposed based on ε-support vector regression. KB-ε-SVR can use the current data information sufficiently, and learn from the existing useful historical knowledge effectively, so that remedy the information lack in the current scene. Reinforced current model is obtained through control the similarity between current model and history model in the object function and current model can benefit from history scene when information is missing or insufficient. Experiments show that KB-ε-SVR has the better performance and adaptability than the traditional ε-support vector regression methods in scenarios with insufficient data.