bluuebunny/crossref_metadata_2025 huggingface dataset:
Physical Layer Intrusion Detection System Based on Channel Prediction for Wireless Networks
Authors: Shin Soo Young , Wicaksono Isnan Arif
Published: May 2014

Wireless Networks suffer from many constraints including wireless communication channel, internal and external attacks, security becomes the main concern to deal with such kind of networks. Therefore, an intrusion detection system (IDS) is required that monitors the network, detects misbehavior or anomalies and notifies other nodes in the network to avoid or punish the misbehaving nodes. This paper describes the simple method to detect the intruder in wireless communication system based on physical layer characteristics. Channel prediction method is used in receiver part to predict the transmission channel for the next time slot. Then, in the next time slot the result is compared with the actual value of channel from the channel estimation. Number of detection and false alarm ratio is measured as performance matrices of the simulation. Based on simulation result, the proposed intrusion detection system give high detection ratio and low false alarm ratio for given threshold.
Automatic Detection of the Grout Layer of Metro Tunnel by GPR
Authors: Qin Cun Chang , Zhou Hui Lin , Yu Qi Ming , Yuan Xi
Published: May 2014

The grout behind the lining segments have a powerful influence on the long-term basis in shield tunnel construction in gravel sand and round gravel layers. Grouting layer detection in the shield construction is important. Two aspects are usually be used to evaluate the effectiveness of the grout treatment, one is the thickness of the Grouting layer and the other is to determine the presence and distribution of any damage in grouting layer. This study reports on the applications of the ground penetrating radar (GPR) and associated work carried out on Nanchang Metro line 1, Jiangxi province of China. After raw data preprocessing the results of the radar image are used to evaluate the thickness and hidden trouble of the grout layer automatically.
Cardiac Arrhythmias Auto Detection in an Electrocardiogram Using Computer-Aided Diagnosis Algorithm
Authors: Park Ji Ae , Hwang Seok Min , Baek Ji Won , Kim Yoon Nyun , Lee Jong Ha
Published: May 2014

Supraventricular tachycardia (SVT) is the most common arrhythmia and can be found in not only heart disease patients, but also healthy persons. However, the occurrence of SVT in heart disease patients implies that the potential of the heart diseases worsening, and it causes cardiac arrest when it evolves into ventricular tachycardia or the ventricular fibrillation. Therefore, the detection of SVT arrhythmia, as a first stage, has significant implications for the prevention of cardiac arrests. In this paper, we propose the automatic diagnosis system for cardiac arrhythmias detection with great accuracy. To validate the algorithm, SVT and normal sinus rhythm are classified by the proposed algorithm.
Integrated Optical Waveguide Sensor for Intensive Pulsed Electric Field Measurement
Authors: Zhang Jia Hong , Chen Fu Shen , Sun Bao
Published: May 2014

A Lithium niobate (LiNbO3) based integrated optical E-field sensor with an optical waveguide Mach-Zehnder interferometer (MZI) and a tapered antenna has been designed and fabricated for measurement of pulsed E-field. Experimental results demonstrate that the minimum detectable E-field of the sensor is 10 kV/m. The linear relationship between the sensor input and output is better while the input E-fields varied from 10 kV/m to 370 kV/m. Besides, from the fitting curve it can be calculated that the maximum detectable E-field of the sensor is approximately equal to 1000 kV/m.
Design of Surface Quality Inspection and Sorting System of Honeycomb Ceramics
Authors: Dai Wei Jun
Published: May 2014

According to the surface quality inspection requirements of honeycomb ceramics, an intelligent image inspection and sorting system based on machine vision was designed. The working flow of the designed system includes four steps: top inspection, bottom inspection, side inspection and sorting. Top images and bottom images are captured with area scan CCD cameras. The workpiece rotation (360°) was driven by the turntable unit driven by a servo motor and an encoder while workpiece side images were captured with line scan CCD cameras. The captured images were sent to IPC inspection software for processing and judgment. Then the judgment results were sent to the PLC electrical control system. Unqualified products were picked out by the PLC-controlled sorting unit. The designed system realized the rapid surface inspection and accurate sorting of honeycomb ceramics and improved the production efficiency.
The Simulation and Analysis of Physical Ranging Process Based on Optimal Alternative Light Source Technology
Authors: Liu Hai Zhou
Published: May 2014

This paper proposes a novel non-contact single point ranging method in which the laser light source is replaced by the white light in the projector. It will project the blank points on the standard plate. With the videos by CCD camera, the advanced image processing technology will be applied to correct the image accuracy and remove the exterior interference to finish the ranging optimization. The experiment results illustrate the method is accessible and the measurement errors are acceptable.
Simulation and Analysis of the Network Feed-Forward Intrusion Detection Model
Authors: Cui Wen Qiang
Published: May 2014

Traditional single-packet inspection can only detect isolated intrusion. To detect intrusion of network feed-forward and multi-packet collaboration, a lot of prior knowledge or historical knowledge is required. There are many drawbacks of the traditional methods, such as low detection rates and high missing rate. The paper proposes a detection model considering classification intrusion identification, which builds the detection model by analyzing the intrusion feature. The experiment results show that the proposed method effectively solves the problems of intrusion of network feed-forward and multi-packet, and reduces missing rate, of which the detection speed and accuracy are much higher compared to traditional methods.
Voltage Measurement Method for Generator Test Based on Labwindows/CVI
Authors: Li Xin Yu , Liu Hong Wen
Published: May 2014

In order to calculate electric performance parameters more accurately, A better Algorithm for voltage RMS and frequency has been used. Introduced a "zero crossing" fitting method, Make a simulation in the MATLAB simulation environment by using the improved algorithm, then make a analysis for the simulation. The algorithm improved the test accuracy, and has the value of popularization.
Research on the Technology of Data Transmission and Position Detection Based on Induction Radio
Authors: Cheng Wang Bin , Jiang Lian , Wen Chen Kuan , Li Xuan , Jiang Shu Hua
Published: May 2014

Researches have been conducted into the technology of data transmission and position detection based on induction radio to realize positioning control in mobile locomotive location, and the locomotives positioning control systems by induction radio have been designed. The principles and methods of induction radio technology are mainly analyzed. The reliable information transmission systems between locomotives and center control room are built, and the mobile locomotive location can be acquired by detecting the phase and amplitude of induced emf. The basic principles of data transmission by induction radio are discussed in this paper. The technology of co-channel interference in data transmission is described, and the hardware circuit of data transmission by induction radio is also provided. The system principle mentioned in this paper is easy, and the design methods are reasonable, which can meet the requirements of positioning control in mobile locomotive location.
A New Method Based on Photogrammetry for Hull’s Deformation Measurement and its Accuracy Analysis
Authors: Liu Xin Ming , Sang Hai Feng , Wang Qian Xue , Ma Nan
Published: May 2014

Photogrammetry is one of the new method for measuring the hull‘s deformation. It’s simple in structure and complex in algorithm. In this paper, the system is discussed and the angle measuring algorithm is presented. To verify the accuracy of the proposed method, both static and dynamic experiments are carried out. Results show that no matter in the static or in the dynamic state, its accuracy is better than 5".
The Effect of Al on Phase Stability and Oxidation Behavior in Ternary Nb-Ti-Si Alloys
Authors: Jiang Yong Jun
Published: May 2014

In this paper, we report a significant improvement in mechanical and oxidation properties of near eutectic Nb–Si alloys by the addition of aluminum (Al) and control of microstructural length scale. Thus in order to develop new alloys, we have to choose proper alloying elements keeping all the above issues in mind. Among the non-transition elements such as Al, Ga, Ge, Sn, and Al is most attractive from the point of view of enhancing the oxidation resistance and room temperature ductility due to substitution of Si with metallic Al . Al forms oxides which are even more thermodynamically stable than Si and Nb based oxides. Al is also soluble in Nb to a greater degree in conjunction with other refractory elementsFig.1 The figure shows composite X-ray diffraction patterns of each sample exposed to air for one hour in a TGA furnace at above mention temperatures.
A Monitoring and Fault Diagnosis System for Aero-Engine Pipeline Based on Distributed Fiber Bragg Grating Sensor
Authors: Liu Dong , Liu Quan , Chen Fen , Wei Qin , Ai Qing Song
Published: May 2014

Aero-engine pipeline is the cardiovascular of aero-engine, which directly affects the safety and reliability of planes. However, the pipeline has complex structure and is easily broken by the harsh operation environment. Therefore, the condition monitoring and fault diagnosis of aero-engine pipeline play one of the most important role to ensure the aero-engine safe and reliable. Fiber Bragg Grating Sensor (FBGS) owns several characteristics, such as anti-electromagnetic interference, corrosion resistance, small size, performance stability, long lifecycle, as well as easy to constitute distributed multi-point system. In this paper, a condition monitoring and fault diagnosis system for aero-engine pipeline, including online monitoring and offline diagnosis, is proposed. Moreover, online monitoring based on temperature and strain signals and offline fault diagnosis based on simulated vibration signals of aero-engine pipeline are explained in details. According to the experimental results, the proposed system is useful and effective.
Transformer Inrush Current Identification Based on EMD+TEO Methods
Authors: Wang Xiao Fang
Published: May 2014

Transformers is one of the most important power system components, its role is to carry power conversion and transmission, transformer manufacturing technology continues to develop, but there is a surge of its problems, factors that have caused the transformer inrush load switching, transformers string parallel operation and fault lines, etc, as a transformer inrush phenomenon often can lead to malfunction of its protection, the correct identification is particularly important means of this paper, the combination of EMD and TEO transformer inrush and fault operation effective identification, theory and simulation confirms the validity and reliability of the algorithm.
A FBG-Based Robust Damage Identification Approach Considering Environmental and Operational Conditions Effects
Authors: Zhang Yan Hui , Yang Wen Yu
Published: May 2014

This paper researches a robust damage identification system considering the effects of the environmental and operational conditions based on distributed fiber Bragg grating system. Initially a well-verified method is used to identify damage, but the failure result is obtained. The environmental and operational variations causing the false-positive indication are analyzed, such as the temperature, the change of the excitation and the relaxation phenomenon of the sensors. The Hilbert-Huang Transform method is used to decompose the dynamic strain signal into several intrinsic mode function components, the physical meanings of which are discussed. Then the second level component is used as the damage-induced signal component. Lastly the damage index based on the autoregressive model and Mahalanobis distance is constructed to detect and locate damage.
Design on a New Kind of Sensor for Physiological Signals
Authors: Wei Zhe , Xin Mai , Wang Ping
Published: May 2014

Objective: We do it to realize the wireless collection and transmission for heart sound signals, from the shape to simplify the equipment and to reduce the interference of the tested patients. Method: We use state-of-the-art 2.4G transmission technology to transport the heart sound signals collected by the front-end to the terminal of analysis. Results: We have successfully exploited the transmission equipment to transmit heart sound signals with good performance. Conclusion: By using the method can we realize the wireless collection and transmission for heart sound signals.
Application of Visual Basic in Fluctuant Slow Strain Rate Test
Authors: Sun Qi Lei , Shi Lu Dan , Liu Ze Rui
Published: May 2014

With the example of stress corrosion test of natural gas pipeline steel, the application of Visual Basic (VB) language program in the test will be discussed in the paper. The result shows that different waveforms of VB language design can simulate various forms of applied load of pipeline steel well, and make fluctuant slow strain rate test more accurate and convenient.
Structural, Optical and Magnetic Properties of W-Doped TiO2
Authors: Jiao Jun Rong , Wang Jia Heng , Gong Chang Wei , Chai Yue Sheng , Shao Wei
Published: May 2014

Based on the density functional theory method, the ab initio calculation with GGA+U was performed to investigate the electronic structure and properties of W-doped TiO2. The results indicated that W-doping induced ferromagnetism and shifted the absorption spectra to visible light region. The ferromagnetism derived from the spin-split of O 2p and W 5d caused by p–d orbit hybridization. Several impurity bands under the conduction band decreased the band gap.
Study on GPS Navigation Navigation System
Authors: Song Hao Ran
Published: May 2014

Currently, GPS global positioning system has been in the areas of precise positioning, navigation, timing has been widely used. By GPS-OEM combined with computer and communications technologies, users are able to easily and independently developed to meet the specific needs of GPS systems. Design system based on GPS navigation navigation system requirements package, in-depth study of the main factors affecting the precision of navigation. Several factors made corresponding solutions, implements navigation navigation system the main functions of the software.
Remote Medical Monitoring Based on Wireless Sensor Network
Authors: Song Ai Juan , Lv Jiang Tao
Published: May 2014

The paper deals with the monitoring system based on Zigbee wireless sensor network technique in details. The system adopts single-chipped microprocessor ZIC2410 radio frequency chip. By the upper computer software and programs of various physiological data acquisition, the physiological data of warded people, such as the pulse, blood pressure, blood oxygen saturation and electrocardiogram, are gathered by the PC software in real time, and then the collected data are transmitted to the remote medical monitoring center through the wireless sensor network. The data information of each node, including the location and health status of the warded people, can be displayed by the monitoring center software. It makes timely and effective medical guidance possible.
The Research of XML Keyword Retrieval Algorithms Based on MapReduce
Authors: Xia Yao Wen , Xie Ji Li
Published: May 2014

In this paper, from the perspective of XML data management, first in the HDFS store large amount of data and XML data based on XML data query rewrite the traditional framework of MapReduce process, the design of large amount of data XML data set keywords retrieval algorithm, contain XML data classification and coding, index and search a four parts, solve the large amount of data of the XML document keywords retrieval problem. Then the design and implementation based on MapReduce of large amount of data XML keyword query system.
The Research of Heterogeneous Database Migration Based on XML and Middleware
Authors: Lv Sai Dong , Xia Yao Wen
Published: May 2014

For many government departments or enterprises to use new system upgrades, data transfer between heterogeneous database problem, this paper puts forward a kind of heterogeneous database based on XML and middleware model of data migration.The model by using XML technology to build a middleware, through the ODBC interface connected to the source database and target database.After extracting data from the source database into a unified XML documents, again according to the mapping relationship between old and new database and XSL document, and converts it to meet the needs of the target XML document, the target database and load the data to the target database.The model including data extraction, transformation, validation, write, and other functions, is a cross-platform, easy extensibility and reusability.
Meteorological Data Mining Based on Rough Set Attributes Reduction and Decision Tree
Authors: Li Xiao Ling , Wang Xu
Published: May 2014

With the development of society and economy, meteorological information service has been paid more and more attention. Furthermore, frequent extreme weather because of the environmental deterioration makes the accurate and efficient weather forecast more and more important. However, the characteristic of huge amount of meteorological data leads to the difficulty of analysis. The analysis of meteorological data based on data mining technique is a research hotspot currently. This paper analyses the weather elements using the method of rough set attributes reduction, which can remove a portion of factors that can be ignored in the analysis of rainfall possibility, and improves the efficiency of meteorological analysis and decision making using decision tree.
On Clustering Algorithm Studies for Ad Hoc Wireless Sensor Network
Authors: Rao Jun , Zhang Jiu Hua
Published: May 2014

Network load is balanced and energy is in stable and sustainable is the important guarantee for the stability of the network. Traditional clustering algorithm for ad hoc network can effectively achieve a single point of network stability, and there is no efficient algorithm for long-term stability. Improvements have been made in this context traditional network clustering algorithm, based on efficient cluster head node using residual energy and communications networking sensor networks nodes remaining weaknesses in the energy networks and strengthening, improving the overall balance and effectiveness of the network, and ultimately to improve the long-term stability in wireless ad hoc networks sensor networks.
Approximate Merging B-Spline Curves via Least Square Approximation
Authors: Shu Si Hui , Lin Zi Zhi
Published: May 2014

An algorithm of B-spline curve approximate merging of two adjacent B-spline curves is presented in this paper. In this algorithm, the approximation error between two curves is computed using norm which is known as best least square approximation. We develop a method based on weighed and constrained least squares approximation, which adds a weight function in object function to reduce error of merging. The knot insertion algorithm is also developed to meet the error tolerance.
The Study of Privacy Preserving Data Mining Technology for Information Security
Authors: Li Heng , Wu Xue Fang
Published: May 2014

With the rapid development of computer technology and the popularity of the network, database scale, scope and depth of the constantly expanding, which has accumulated vast amounts of different forms of stored data. The use of data mining technology can access valuable information from a lot of data. Privacy preserving has been one of the greater concerns in data mining. Privacy preserving data mining has a rapid development in a short year. But it still faces many challenges in the future. A number of methods and techniques have been developed for privacy preserving data mining. This paper analyzed the representative techniques for privacy preservation. Finally the present problems and directions for future research are discussed.
Block Background Subtraction Method Based on ViBe
Authors: Huang Lian Fen , Chen Qing Yue , Lin Jin Feng , Lin He Zhi
Published: May 2014

The key of background subtraction which is widely used in moving object detecting is to set up and update the background model. This paper presents a block background subtraction method based on ViBe, using the spatial correlation and time continuity of the video sequence. Set up the video sequence background model firstly. Then, update the background model through block processing. Finally employ the difference between the current frame and background model to extract moving objects.
Application Research of Virtual Sludge Technology FreeForm in Character Design
Authors: Hu Rui Bo , Zhang Xiao Song , Li Jing Yuan , Wang Kun Qian , Suo Xin Yu , Man Ling Ying , Hu Yuan , Gao Zhen
Published: May 2014

The paper introduces the way of solid modeling and wire frame modeling, described modeling ways from drawing the general outline of the form, to using the general model to make out the general modeling of form, to making the whole effect of the animation by combining with concrete examples which are pf rapid and convenient application value in promoting design speed, enriching expression effect (surface modeling), optimizing design process. It is beneficial to play the design wisdom, give consideration to both economic and social benefits. Its modeling is easy to meet consumer demand for fresh and exaggerated things, and helps to clear the market demand, good commodity modeling and its industrialization prospect.
A Research of Reactive Compensation Scheme Based on the Hybrid Parallel Mode of SVG and PPF
Authors: Li Cai Lin , Sun Xin Wang
Published: May 2014

A kind of hybrid parallel compensation scheme combining active compensation and passive compensation technology was proposed in this paper. The regulating function of reactive power can be realized dynamically and smoothly by means of integrating Static Var Generator (SVG) with passive filter (PPF) and then paralleling with the system load side bus. The harmonic current and voltage in the system could be filtered out. The calculation method of total compensation capacity, the determination method of SVG compensation capacity and the design method of PPF filter branches has been presented. Simulation result has proved that this scheme can achieve reactive power compensation and complete harmonic governance at the same time. Besides, the problems of reactive power and harmonic in the power system can be solved effectively, and the good engineering practical value is obvious. Figure 1 Hybrid parallel compensation structure diagram of SVG and PPF
Similarity Metric Based on Resistance Distance and its Applications to Data Clustering
Authors: Guo Geng Qi , Xiao Wen Jun , Lu Bin
Published: May 2014

We propose a new clustering method that uses a similarlity metric deived from electrical resistance networks. The proposed metric allows us to quantify the mutual relevancy between data objects or nodes. We show how to derive the metric from the data collection and how to apply it to various application contexts. Our theoretical analyses and experiments show the excellent potential of the method to identifying clusters of networks and to improving data clustering performance on a number of data sets.
Improved Squeeze Algorithm for Saliency Features of Dictionary Learning
Authors: Zhang Qian , Wang Lin , Cheng Jun , Pan Ren Long
Published: May 2014

Saliency feature is the main interesting feature of the image; we can find the goals and interesting region in the image. We proposed an improved squeeze algorithm for dictionary learning to extract significant features of an image. For the Squeeze algorithm may come into "chain effect", we solve this question by restricting its expansion radius extent dynamically, then using image sparse dictionary learning and the improved algorithm based on scene perceptions to extract the significance. Through a lot of experiments comparing between the K-SVD, Squeeze, Squeeze in [11] and our algorithm, the results show that the suggested algorithm has high robustness, anti-interference ability, and high accuracy detection.
A New Approach of Routing Algorithms in Nanonetwork for Molecular Communication
Authors: Shin Soo Young , Bahri Ika Dewi binti Saiful
Published: May 2014

Nanotechnology is an emerging field of science devoted to provide new opportunities in a vast range of areas. The main alternative for communication in the nanoscale is molecular communication. This paper describes how the molecules travel from one point to other point in the computational environment in two different approaches. In the first approach, the ant of the artificial colony are finding the routes by consider acceleration and force of molecule arrive close with the target. On the other hand, in the second approach, the density of molecule around the target will determines the routes of ant. As the performance measures, the arrival time and the number of contacts with molecules from the target to the source are evaluated
A Discretization Method of Continuous Attributes Based on Rough Set
Authors: Tang Xiao Kang , Zhang Xue Zhi , Zou Qiong , Wei You Guo , Cao Cheng Jun
Published: May 2014

when the rough set be used to deal with Knowledge representation system, the data in decision table should be expressed in discrete data, if some conditions or decision attribute is continuous value, which should be discrete Before process.Discretization is not specific data processing only by rough set theory , people have conducted extensive research on discretization problem before the rough set theory put forward , and Made a lot of progress ,but the discretization technique is can not be completely in common used in every subject, different areas have their own unique requirements and handling .This paper proposes a discretization algorithm based on regular conditional entropy.
A Local Regrouping Method in the 2D SPH Simulation
Authors: Liu Feng Yan , Fang Le
Published: May 2014

The distortion of particles distribution is a defect that usually leads to numerical instability in the traditional SPH method. In this contribution, we introduce a novel local regrouping method to solve this problem. The basic idea is to keep the particles undeformed by regrouping, dividing or combining the deformed particles. We succeed to simulate the Taylor-Green vortex in 2D with this method, and demonstrate the effectiveness of this method.
The Integrative Establishment of a Three-Dimensional Structure Model of Changling Gas Field in Changling Fault Depression
Authors: Yu Xiao Yu , Li Xue , Li Xiao Song , Zhang Guo Yi
Published: May 2014

The three-dimensional (3D) geological modeling technique which is considered as an important skill of fine reservoir description has been gaining more and more attention. On one hand, it can efficiently promote the transformation of reservoir description from two-dimensional (2D) to 3D, and from qualification to quantification as well. The 3D reservoir geological model can be used as basic geological knowledge in terms of adjusting well patterns and indicating remaining oil distribution, through reflecting the spatial distribution characteristics and the variation of the reservoir physical property. On the other hand, the 3D modeling technique specializes in the representation of local micro features in comparison of regular ways. This article aims at subtly describing the structural modeling of Changling gas field of Changling fault depression. The result of this case study shows that the establishment of structural model is consistent with the understanding of fault development which was proved during the process of producing gas, thus the structural model has high reliability. Therefore, the structural model is of great guiding significance for the design of new well and the well patter optimization.
First Principle Calculation of CO Chemisorption on δ-Pu(001) Surface
Authors: Li Ru Song , He Bin , Xu Peng , Zhao Feng Tao
Published: May 2014

Chemisorption of CO molecule on the (001) surface of δ-Pu using the generalized gradient approximation of the density functional theory with the Perdew-Burke-Ernzerhof exchange-correlation functional has been investigated without spin-orbit coupling at the non-spin-polarized level to better understand the interaction and chemical reaction of CO with Pu surface. Band structure and density of states before and after CO molecule chemisorption on the bridge position of the (001) surface have been compared and analyzed. The result shows that s and p states of CO molecule hybrid with Pu 6d states. Chemisorption energy for this adsorption site and repulsion energy between CO molecules are 0.615046eV and 0.96768eV, respectively.Key words: density functional;chemisorption;energy band;density of states;repulsion energy
The Application of Computer Simulation Technology in the Queuing System Optimization
Authors: Tan Rong Hua
Published: May 2014

The optimization Problem of queuing system is an important research subject in the queuing system.There are two ways to solve this problem:one is the traditional theoretical analysis, the other is the application of computer simulation. This thesis introduces the queuing theory and the simulation technique of discrete event system, including fundamental conceptions, methods, performance index and classical model of queuing system, as well as the definition of simulation and the procedure of the simulation of discrete event system. And procedure and parameters set of general modeling methods are analyzed.
Operation Mode of Resource Sharing Based on Remote Control of Network System
Authors: Bai Chen , Wang Rong Rong , Liang Jun Xian
Published: May 2014

The university library is the information center of higher education literature, but also an important information base of all sectors of the community. This paper is based on the practical situation that there are few users in the university library during summer vocation, explored and analyzed the problems such as during the vocation, opening university library to the outside world and its impact, finally arrived at the conclusion that " resource sharing " is a good model for the social operation on university libraries during vocations, opening to the outside world is a big trend for the future operation mode of university library.
Simulation on the Aerobics Behavior Analysis Model Based on the Virtual Joint Point
Authors: Wang Xiao Hui
Published: May 2014

Aerobics behavioral characteristics have large difference from normal characteristics, and nonlinear changes are formed in gait angle, acceleration, degree of crook and the other features. An analytical method of Aerobics behavior based on 3D virtual articulation points is proposed. Deviation of motion in aerobics image is obtained to match, and establish a virtual three-dimensional variable tracking analysis model, in order to achieve a three-dimensional analysis of complex Aerobics. The experimental results show that this method can improve the accuracy of three-dimensional human aerobics motion analysis.
The Visual Simulation Analysis of Human Body Movement Model
Authors: Wang Jun Jie
Published: May 2014

This paper proposes the re-built human body movement model with multiple cameras. In the tracking frame of the non-linear optimization strategy, the paper builds the body dynamic model to dynamically simulate the human movement which effectively solves the issues of the body parts overlap and tracking errors accumulate. Compared with traditional methods, the required equipment is very economic and the matching accuracy of the algorithm is quite high. The paper applies the athletes as the experimental examples which illustrate the proposed algorithm can effectively increase the 3D image tracking matching accuracy in dynamic videos as the analysis basis.
3D Geological Modeling in Complex Reservoir with Fractures – A Case of Biandong Oilfield
Authors: Xu Jing Rui , Li Xue
Published: May 2014

With the fast development of computer technology and 3D visualization technology, geological modleing has made great progress in recent years. The aim of geological modeling is to realize the integrated and quantitative prediction of underground geological bodies, and provide researchers with 3D display of geological characteristics, consequently. So, 3D geological modeling has become an important tool for people to carry out related studies in every oilfield of in China. This paper analyzes the complexity and diversity of geological bodies and geological structure, because these are the main factors that control the distribution and spread of sandboied and reservoir parameters. Based on these previous analysis, the 3D geological model is established with proper modeling method, and a certain 3D visualization of geological bodies are realized by through-well profiles and fence models. Also, the 3D geological model can provide a reliable scientific tools for decision-making for geological researchers.
Comparison of Wave Run-Up Formulas by Flume Experiments
Authors: Wang Lei , Zhu Shou Xian , Li Xun Qiang , Zhang Wen Jing , Wang Wen Chao
Published: May 2014

The wave run-up formulas from the Code of Hydrology for Sea Harbour (CHSH), the Code for design of levee project (CDLP) and Hunt are all widely used, but they are in different forms of mathematical equations. In this paper, some flume experiments for wave run-up are made to examine these formulas. The tests show that the wave run-up formula from Hunt is in good agreement with the experiments. The wave run-up formula from CDLP has been usually used in steep slopes, while the tests show that it is also in good agreement with the experiments in the small slope flume. The wave run-up formula from CHSH is also used mainly in steep slopes, it brings significant error of the wave run-up calculation contrasting with the experiments.
PID Algorithm Application in the Mechanical Sealing Based on BP Neural Network
Authors: Li Jia Sheng , Lu Bao Cheng
Published: May 2014

Based on BP neural network algorithm, combined with PID linear control theory, we establish neural network residual training model of mechanical seal device, and design the simulation system of mechanical seal device with FLUENT simulation software. In order to verify the availability and reliability of the system, we design two different mechanical sealing devices, and do simulation calculation on the two kinds of devices. We get the sealing pressure field and velocity field distribution curve of device 1 and device 2. Through calculation we get sealing quality change curve with time. Through comparing the two different sealing performances we found the sealing effect of device 2 is better, the sealing efficiency reaches 98.2%, which meets the design requirements of the mechanical seal.
The Research on Reducing PAPR of the LTE Systems
Authors: Jin Yong Xian
Published: May 2014

MIMO-OFDM is one of the core technologies of 4G in the future, but the problem of high Peak—to—Average Power Ratio (PAPR) of LTE systems remains as one of the main obstacles that limit the application of OFDM. A method of space-frequency rotation and inversion has been proposed. According to the results of the Simulation, suppresses the smaller loss of PAPR performance, to improve the performance of LTE system.
A Method of Lower Limb Joint Points Extraction Based on Pendulum Model under Arbitrary Gesture Walk
Authors: Yang Ning , Li Jin Tao , Wang Rong
Published: May 2014

The position extraction of lower limb joint points is important for gait recognition because the feature data is always based on the position of lower limb joint points. Since the detection of motion information of human body can affect the gait recognition directly, we propose a position extraction method of lower limb joint points in this paper. Through the study on the human body centroid tracking, and positioning of human lower limb joint point, we can obtain the step cycle information. It has been demonstrated via plenty experiments that the proposed method is feasible and easy for implement, since it can achieve real-time tracking and improve positioning accuracy of the human body joints, and can provide feature data for human gait recognition.
Design and Application of a Multi-Phase Interpolation Filter
Authors: Shan Bao Tang , Wang Fa Nian
Published: May 2014

Multi-phase Interpolation Filters are used widely in wireless communication. Based on the requirements of a high data rate satellite modem, this paper analyses the basic design principle of a multi-phase interpolation filter. A new design scheme of multi-phase interpolation filter is presented and implemented with VHDL TOP-DOWN method on FPGA. Finally, part simulation and application test results are given.
The Application of Subsampling the Distribution of Diverging Statistics on Time Series
Authors: Li Yun Fa
Published: May 2014

In order to obtain the reliable results on time series, the application of subsampling the distribution of diveriging statistics on it was analyzed in depth. First, the relating theories were summarized. Second, the theory model of subsampling for diverging statistics was disscussed. Finally, a case study on econometric application was carried out, and the statistics results showed that this method can be applied in the finance statistics effectively.
Frequency Spectrum Estimate Based on Decomposed FLOC Matrix under Stable Distribution Noise
Authors: Wang Hai Bin , Long Jun Bo , Zhou You Xue , Zha Dai Feng
Published: May 2014

The radar work in a complex environment where the noise has very strong pulse, the noise can be described by stable distribution. The conventional spectrum estimation method based on second order statistics is reasonable in many cases, however, the performance of the conventional algorithm degenerate in stable distribution environment. We propose three new frequency spectrum estimate method with Fractional lower order covariance (FLOC), FLOC-Pisarenko method, FLOC-Esprit method and FLOC multiple signal classification (FLOC-MUSIC) method. The conventional spectrum estimation methods with three proposed methods under Gaussian noise and stable distribution are compared in this paper, simulations show that the conventional methods degenerate, but the proposed algorithms can work better in stable distribution environment, and are robust.
Evaluation of Non-Coal Mines Safety Emergency Capacity Based on Unascertained Measurement Model
Authors: Pan Cheng Lin , Yang Zhen Hong , He Xiao Fang
Published: May 2014

Based on the uncertainty measurement theory, considering evaluation indexes of monitoring, personnel positioning, emergency actions, compressed air self-help, water rescue and communication, a mining emergency combat capability evaluation model is built to solve the difficulty of non-coal mine safety evaluation. This model is proposed to many uncertainty factors of safety evaluation of non-coal mine, according to the actual situation, carries on quantitative analysis, calculates indexes’weight, conducts grade decision by confidence identification criteria, then derives results of non-coal mine safety evaluation. This method is used to evaluate a certain six systems of non-coal mine. Compared with expert appraisal conclusion, the result shows consistency, therefore uncertainty measurement model is reasonable.
Prestack P-Wave Anisotropy Characteristic Analysis in EDA Media
Authors: Wang Yong
Published: May 2014

With the rapid development of China's national economy, oil and gas development and utilization of resources is also increasing, dwindling reserves of conventional oil and gas reservoirs. These inevitably lead to oil and gas exploration direction shifted gradually from shallow depth, by a conventional steering reservoir unconventional oil and gas reservoirs, fractured reservoirs will become the focus of the current oil and gas exploration areas. This paper studied the basic theory of fractured media, from the speed and the amplitude of pre-stack anisotropic characteristics are analyzed theoretically. Researches of these basic theories of EDA media provide a basis for the exploration of the fractured reservoirs.
Application of Association Rule Mining on Food Safety Test Data
Authors: Chen Kai , Tan Hong , Gao Jie , Wang Da Xia
Published: May 2014

For the purpose of improving scientific regulatory and effectively making use of supervision information for food safety, we have collected more than 200,000 testing data in the information system from 2009 to 2013. In this paper, with association rule, several analytical models, as exemplified by soy data, was created according to the feature of soy. Valuable information can be obtained from massive testing data, which is conducive to food safety supervisions.
Supervised Imagery Classification Based on Hierarchical Macro Manifold
Authors: Huang Hong Bing
Published: May 2014

Manifold learning has made many successful applications in the fields of dimensionality reduction, pattern recognition, and data visualization. In this paper we proposed hierarchical macro manifold (HMM) for the purpose of supervised classification. We construct hierarchical macro manifold based on the given training sets. The generalized regression neural network is employed to solve the out-of-sample problem. Experimental results demonstrate the feasibility and effectiveness of our proposed approach.
An Energy-Efficient Coding in Mobile Satellite Communications
Authors: Wang Geng Run , Zhang Bang Ning , Liu Ai Jun , Guo Dao Xing , Wang Jin Gang
Published: May 2014

Diversity gains are believed to improve the transmission reliability in fading mobile satellite channels. Considering that the traditional Space-Time Coding (STC) is not suitable for the cooperative mobile satellite communication, in this paper a new cooperative mobile satellite communication system is proposed based on the Dynamic Space-Time Coding (D-STC). The transmit energy of the propose scheme is saved by avoiding forwarding erroneous signals in cooperative users. Meanwhile, the system benefits from diversity gains and the transmission is robust. Finally, the analytical result is validated by numerical simulations.
Research on Spacecraft Signal Combining for Antenna Array
Authors: Jiao Yi Wen , Shi Xue Shu , Lian Xin
Published: May 2014

An improved algorithm of spacecraft signal combining for antenna array and its implementation are researched. Firstly the composition of the antenna array experiment system and the processing flow of the signal combining are introduced. Then the high-precision delay extracting technique in signal combing processing is researched. Finally a signal combining experiment on the data-transmission signal of Chang’E-2 spacecraft is conducted and a full spectrum software combining processer is specially designed for the antenna array system. The experiment results show that the combining efficiency can reach 88.1%.
The Application of Remote Image Optimization Delivery Technology in Online Education
Authors: Yuan Li Min , Wang Nuo , Li Yan
Published: May 2014

In online education, the three-dimensional image is transmitted remotely via the network, the amount of information contained in a three-dimensional image is higher than the two-dimensional pixel, reconstruction is also more complex than the two-dimensional, once interference is present, the three-dimensional features of image lost. To avoid these shortcomings, an anti-interference transmission method based on new remote image network is presented for online education. Image enhancement method is applied to strengthen the contents of the image, and support vector machine method is utilized to optimize the compression process of wavelet coefficients, and ensure low-loss compression. Experimental results show that the algorithm benefits remote network education in transmitting three-dimensional image to the terminal accurately and the image compression losses are reduced.
Simulation Analysis on Dynamics Clustering Algorithm Based on 3D Imaging Technology
Authors: Xie Zhong Ping
Published: May 2014

In this paper, we use 3D imaging technique to conduct in-depth research in the football training, and obtain the 3D space image of the best football team. We use FPGA hardware platform to design the control program of 3D image, and judge the performance of synthetic parameters, and test process curve and schematic diagram of 3D imaging. Combined with Kmeans algorithm we design the clustering algorithm mathematical model of 3D image, and give the control programming. Finally, based on the 3D synthesis image and optimization of display technology, using the image acquisition and skill of physical body, finally we get the best offensive and defensive football team. It provides the theory reference for the training of football players.
Research on the Application of Digital Images Based on the Computer Graphics
Authors: Li Jing , Hu Bin
Published: May 2014

Digital art images which is based on the computer graphics is integrated with computer graphics technology and network transmission technology. The design of the system is a new application in the field of digital art. This paper chooses ARM9 (S3C2440) processor as the hardware platform, and computer graphics Linux operating system as the software platform. Then it puts forward an improved algorithm of digital art images based on frame difference, and completes the design of digital art images system that can be applied to the community monitoring or bank safety unattended. The experimental results show that the system can extract the background images from the sequence video, so as to improve the quality of digital art images.
The Realization of Time-Varying Filtering for Physiological Signals
Authors: Ye Guang Jian , Xin Mai , Long Tao
Published: May 2014

Purpose: We do it to eliminate the influence of clutters to the whole of system, improve identification for waveform, and then make ready for the next analysis. Method: We recommend time-varying filtering theory, make this theory as the basis to delimit experimental indicators for the specific requirements, then used LabVIEW2011`s paramount means packet for programming. Result: We have successfully used the varying filtering method to carry out clutters, improved the accuracy of the signal waveforms. Conclusion: Using the method described above can achieve the goal for the optimization on the heart sound signal processing, and also provide the reliable indemnification for analysis from the root.
The Research of Routing Algorithm Based on DSP Routing Module in Medium-Voltage Power Line Communication
Authors: Ge Bao Lai , Hou Si Zu
Published: May 2014

With the rapid development of Internet technology throughout the world, the technology of DSP has progressed tremendously. The paper conducts a research on the routing algorithm based on DSP routing module in medium-voltage power line communication. It attempts to improve link state routing algorithm based on OSPF protocol so as to enable all the circuits of the communicated DSP chips to send and receive data in real-time detection.
A Novel Method of Image Quality Assessment
Authors: Guo Ming Wei , Zhang Chen Bin , Chen Zong Hai
Published: May 2014

Image quality assessment (IQA) is one of the hot research areas in the field of image processing. For the reason that human being is the final receiver of the image, the image quality assessment should match the characteristics of human visual system. In this paper, we propose a novel method of image quality assessment which uses the visual selective attention of human visual system. For an image of a certain category, our method firstly detects the object in it and then calculate the saliency of the object. Lastly we use the combination of the detector’s score and the saliency as the image quality assessment. Experiments on some images of Pascal VOC dataset and INRIA dataset show that our method does well in image quality assessment.