bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of Thermocouple Verification Data Records Table Based on Labview
Authors: Zhao Jing Hui , Zhou Bing
Published: February 2014

Using YanHua USB-4718 eight-channel thermocouple input module, PC machines as the main hardware,the Labview of National Instruments (NI) company as the software development platform, building thermocouple test data recording sheet, automatic collection standards and the tested thermocouple mill volt values and the related standards. According to thermocouple calibration data processing formulas, will calculate the error of the thermocouple each test point automatically. It will achieve visual user interface, save test data, test certificates and achieve other functions.
Application of Frequency-Voltage Converter Chip in the Vehicle Data Acquisition
Authors: Li Chun Fu , Li Yan Qin , Han Hui Zhi
Published: February 2014

The speed is the most common frequency signal among a lot of the automotive signal which may be collected, Acquisition for frequency signal generally use the counter input capture. The number of sampling rate not only depends on clock frequency counter, but mainly the number of the frequency of the signal itself, it is bound to take a very long time to collect speed signal when the speed is very low. For most of the data acquisition card, which usually adopt asynchronous acquisition between various channels, that is, only one channel can collect data at any time, so for the multi-signal acquisition system which has a high requirement for real-time, it is undue to collect directly low frequency signal. This paper adopt method of frequency-voltage converter to change the frequency signal to analog signal and collect data, thus, which can greatly improve the system's sampling rate.
Multi-Point Temperature Monitoring System for the LNG Storage Tank
Authors: Zhao Lei , Zhang Guan Wei , Zhang Qing , Zhang Yu Kun
Published: February 2014

Liquefied natural gas (LNG) is obtained by reducing the gas temperature to-162 degree, Fault of the inside steel cans, the insulation layer or the concrete outer tank of the LNG storage tank can lead to changes of the temperature field, local temperature decreases, and the outer concrete tank safety is threatened. Infrared thermal imagers are used to monitor the temperature of the LNG storage tank, get the overall temperature distribution image of the outside concrete tank, establish the communication between the thermal imagers and the computer, and analyze the heat image of tank by the compute, find out the failure structure of the LNG storage tank according to the temperature field changes. Multi-point temperature monitoring system for the LNG storage tank can provide powerful guarantee for the safe storage of the liquefied natural gas.
Study on Temperature Measurement Technology of Oil Immersed Transformer and Associated Prony Algorithm
Authors: Jia Dan Ping , Yuan Zhuo , Zhao Li Min
Published: February 2014

In the paper the measurement program of transformer winding temperature was proposed by using the fluorescence lifetime. We produced a probe to measure the temperature of the oil immersed transformer winding and used high temperature fiber to transfer fluorescence. Three methods were used to calculate the fluorescent life. By comparing advantages and disadvantages of three methods, the Prony algorithm was selected .Because it can fit multi-exponential and improve the accuracy of temperature measurement which is suitable for the fluorescence curve. At the same time, the calibration experiments of the measured temperature were carried out to achieve a real-time measurement of oil temperature.
Capability Assessment of Satellite Communication System Based on Multi-Granular Modeling
Authors: Chen Zhi Ke , Xiong Wei , Sun Li Yuan
Published: February 2014

Capability assessment of satellite communication system (SCS) is necessary for figuring out at what degree the system capability is and advising on how to reconfigure the system to improve its performance on data transmission. A new method for SCS capability assessment based on multi-granular modeling is presented in this text. A capability index system of SCS was established. Integration models for indexes were proposed. And mathematical models for indexes at last layer were proposed to improve the incredibility of assessment by analyzing the technical system of SCS. It is proved that the new method is feasible by an example of America SCS capability assessment.
312.5 Mbit/s Visible Light Communication System Based on OOK Modulation
Authors: Zhang Dong Fang , Zhu Yi Jun , Wang Tao , Tian Zhong Jun , Zhang Yan Yu
Published: February 2014

We report an indoor visible light communication (VLC) system by using of on-off-keying (OOK). Firstly, the magnitude of the channels frequency response was measured. Based on the measured data, we introduced the pre-equalization technology into the system. Finally, the system operated up to 312.5 Mbit/s with bit-error-ratios below 10-6. The results were achieved for illuminance levels recommended by lighting standards.
Ultralow Frequency Standard Vibration Calibration System Based on DSP
Authors: She Tian Li , Ma Shu Lin , Gao Feng
Published: February 2014

Ultralow frequency vibration tables can easily be imposed external interferences when they work. These interferences result to distortion of the output and can reduce the calibration precision. Closed-loop negative feedback method was put forward to reduce the output distortion of an ultralow frequency vibration table. Firstly, we analyzed its structure and principle. Also the reasons of the output distortion of the system was analyzed. The new system was based on DSP unit. And the system is more flexible, higher running speed and better interference immunity. Experiments show that the distortion of the new system can be effectively improved based on negative feedback method.
Facial Expression Recognition Based on Monogenic Binary Coding
Authors: Xia Xiao Xiao , Ying Zi Lu , Chu Wen Jin
Published: February 2014

A new method based on Monogenic Binary Coding (MBC) is proposed for facial expression feature extraction and representation. Firstly, monogenic signal analysis is used to extract multi-scale magnitude, orientation and phase components. Secondly, Monogenic Binary Coding (MBC) is used to encode the monogenic local variation and intensity in local regions of each extracted component in each scale and local histograms are built. Then Blocked Fisher Linear Discrimination (BFLD) is used to reduce the dimensionality of histogram features and to enhance discrimination. Finally the three complementary components are fused for more effective facial expression recognition (FER). Experiment results on Japanese female expression database (JAFFE) show that the performance of the fusion method is even better than state-of-the-art local feature based FER methods such as Local Binary Pattern (LBP)+Sparse Representation (SRC), Local Phase Quantization (LPQ)+SRC ,etc.
Recognition Method of Cotton Blind Stinkbug Hazard Level Based on Image Processing
Authors: Zhang Jian Hua , Kong Fan Tao , Chen Wei , Wu Jian Zhai , Zhu Meng Shuai
Published: February 2014

In view of complex background of cotton blind stinkbug hazard region and the difficulty in segmentation and classification under natural conditions, an automatic classification method of cotton blind stinkbug hazard level was proposed. In this method, crop regions and disease regions of cotton were extract respectively by H+a*+b* component and Otsu segmentation method based on blind stinkbug hazard cotton leaves. Adhesion cotton leaves separated by Watershed segmentation method and cotton leaf area hazard by blind stinkbug extracted. According to cotton blind the stinkbug hazard rating standard, combination Naive Bayes classifier and color, texture and shape features extracted from images to classify the hazard rating of the blind stinkbug. The results showed that the model classification correct rate was 90.0%, it could classify the hazard rating of the cotton blind stinkbug and provide technical support for the prevention and treatment of the cotton blind stinkbug.
The Algal Blooms Prediction in the Lakes Based on Remote Sensing Information
Authors: Ma Xin Yu , Xu Ji Ping , Wang Xiao Yi , Zhu Qing Wei , Shi Yan , Wang Li , Zhang Hui Yan
Published: February 2014

The eutrophication phenomenon for lake in our country is obvious. Algal blooms have become one of the major environmental issues in the lake. In view of the traditional single point monitoring and analysis limitations, this paper proposes a bloom prediction model based on remote sensing information. Different light wavelengths has different sensitivity of chlorophyll, so extracting the reflectance values to the chlorophyll-sensitive band from satellite remote sensing information, Building water green index information and corresponding to chlorophyll values of lake-sites monitoring area by latitude and longitude geographic information , thereby build a predictive model of algal bloom based on a remote sensing, realize effective prediction of algae bloom in Taihu lake for coastal ,open ocean water and lake reservoir bloom prediction gives an idea.
Fast Automatic Failure Detection System Preliminary for LED Lamps Based on Machine Vision Technology
Authors: Shen Zhong Hong , Liu Qun Xing
Published: February 2014

Using machine vision technology to realize the real-time automatic collection of test parameters including light and color of LED lamps during the experiments. The failure mechanisms were researched and the reference failure mechanisms were given according to the parameters change situation of the failure lamps, in order to implement rapid and automatic detection of test conditions of LED lamps, which can accelerate the research processes of LED lamps and related products, and promote the industrialization process of LED. The fast automatic failure detection system for LED lamps based on machine vision technology proposed in this paper had great significance for LED lamps research organizations such as testing organizations, research institutes, as well as manufacturers, and it was worthy of learning for them.
The Filtering and Streamline of Three-Dimensional Point-Cloud Data
Authors: Zhang Zheng Chang
Published: February 2014

Three-dimensional scanning device will scan a large number of three-dimensional data one time, which will inevitably mixed with some of the noise points, casusing the reconstructed surfaces and curves that is not smooth. At the same time a large number of three-dimensional data can lead to reconstructing surface slow down. This paper applied Wiener-filtering which is commonly used in the gray image de-noising and smoothing treatment to filtering three-dimensional point-cloud-data by replace the gray value of gray image with a z value of point-cloud-data, and the point-cloud-data which undulates strongly will be seen as noise point and removed. At the same time using octree algorithm to streamline the data, which can be guaranteed to retain local feature point cloud data while streamlining data.
Analysis of Mechanical Fatigue Behavior for MEMS Structures
Authors: Huang Qin Wen , Li Xiang Guang , Wang Yun Hui
Published: February 2014

Fatigue of MEMS structures may occur after cyclic vibration loading, which can lead to the material degradation. A test bench was built for mechanical fatigue testing, especially for the structures that actuated by electrostatic force. A RF MEMS switch which was made of gold was tested; the material mechanical characteristic was monitored during the tests by means of the value of pull-in voltage, which is related to the change of the Youngs modulus. The fatigue stress was produced by an alternating voltage, and the amplitude of which is from 15V to 65V. The excitation frequency and the actuation time were used as a counter for the number of cycles. The results show that there is no detectable mechanical fatigue after actuation up to one billion cycles.
LNG Tank Dome Air Raising Technology Research Based on Closed-Loop Tension Control
Authors: Zhu Wen Da , Jiang Jie , Yang Gong Sheng , Gao Nan Jin , Yan Jing Peng , Pian Cheng Rong , Zhang Qing
Published: February 2014

LNG gains popularity as a kind of clean and efficient energy, LNG tank dome air raising installation technology is a key problem for tank construction, chain preloaded is adopted in traditional balance guidance device, the wire rope tension cant maintain a constant in air raising, which brings great safety hidden trouble. In this paper, the tension control technology based on closed-loop was put forward, the tension control device was designed and the hydraulic system principle was designed. Tensioning force can be adjusted automatically in the air raising process by researching on LNG dome air raising technology based on closed-loop tension control. It is of great significance for improving the efficiency and safety in the process of air raising .
Optimization of Flame Arrester Structure of Explosion-Proof Valve with Flame Arrester for Diesel Engine
Authors: Jiang Lan Fag , Liu Hong , Liang Hua
Published: February 2014

The flame arrester sheet of explosion-proof valve with flame arrester was optimized to enhance its capability to reduce pressure and extinguish flame. Firstly, it introduced the principle of operation of explosion-proof valve with flame arrester. Secondly, the optimization object and variable were determined. Software FLUENT was adopted combining with homogeneous design method to carry out the numerical calculation. Then, regression analysis method was used to analyze the results and got the regression model of optimization objective. The results had shown that the regression model had its significance. Lastly, based on regression model of optimization objective, the solution of multi-objectives optimization was obtained applying linear weighting method. It is of importance to guide flame arrester structural design of explosion-proof valve.
Study on Elevator Drive System Dynamics Simulation of Rail Transport Conveyer
Authors: Li Shou Cheng , Wang Xue Jun
Published: February 2014

Rail transport conveyer is special transportation equipment that is widely used in the field of metallurgical industry. It is the key to ensure equipment operation efficiency on a production site. But the low lift system efficiency and poor reliability are difficult technical problems in the enterprise. In this case, rail transport conveyer uses the worm gear and screw nut lifting mechanism. The project carries on rail vehicle lifting system modeling and dynamic simulation study through Solid Edge ST5 and ADAMS, combined with simulation technology, virtual prototype design. Research purpose is in order to match the coefficient of friction between the screw and screw nut better, and to match different speed ratio for the drive gear pair and the lifting mechanism being in empty back to travel and work schedule. Another aim is to match the speed of the lifting speed and walking speed, and to reduce the error probability. Results show that the motor can get better speed matching relation with lifting mechanism through research, further optimizing the structure of lifting system parameters. Through the analysis and structure optimization, we can improve the reliability of rail transport vehicle lift system, and implement efficient fast for copper anode lifting and positioning precision. The ultimate goal is to achieve vertical hanging in electrolytic cell anode plate, and to make electrolytic operation to achieve the best state.
Transmission Efficiency Analysis and Experiment Research on Screw Oscillating Hydraulic Cylinder
Authors: Li Song Bai , Liu Yi Lun , Li Jian Qiang
Published: February 2014

This paper introduces working principle of screw oscillating hydraulic cylinder. Structure parameters and process parameters influence on mechanical efficiency is analyzed, simultaneously, structure parameters and process parameters influence on volumetric efficiency is also analyzed. the maximum mechanical efficiency and optimal spiral angle are acquired. Total transmission efficiency model is established. Transmission efficiency experimental test is carried out, experiment test efficiency is basically in accordance with calculated efficiency.
Design of Multi-Mode PID Controller and Application in Time-Delay Process
Authors: Chen Yu Mei , Tan Fei , Fan Tao
Published: February 2014

Through brief analysis of characteristics of conventional control, a new type of multi-mode intelligent control algorithm based on error information is put forward. The algorithm consists of proportional acceleration control for rapidity of transient response, differential deceleration control for stationarity of transient response and steady state excitation control for accuracy of steady response. The control algorithm is applied to time-delay process, compared with other algorithms. Simulation results show its good performance with MATLAB language. The algorithm has simple structure, good generality and easy adjustment.
Study on the Automatic Spraying System of Dust Suppressant and Speed Adaptive Algorithms
Authors: Wu Shun Wei
Published: February 2014

An automatic spraying system of dust suppressant is proposed in this paper for active control of uneven spraying, secondary pollution in the process of pipe cleaning and inconvenient system maintenance at present. The multilayer structure hardware system including monitoring management, control layer and field directors is designed. These deficiencies are improved by the way of adopting speed adaptive PID control algorithm, the integrated design of spraying mechanism and automatic cleaning technology. The key technology and algorithm are validated experimentally. The results show that the dust suppression proposed can be saved from 20% to 30% compared with traditional spraying system. The environmental pollution and economic losses to the enterprise will also be reduced effectively.
Design of the Embedded Control System of Laser Engraving Machine
Authors: Wang Xiao Tian , Yang Zhi Jia , Lv Yan , Wang Zi , Xiao Peng
Published: February 2014

The control system of laser engraving machine based on ARM processor realize the precise control of the two-dimensional stepping motor and the laser head. This article focuses on the proposed stepping motor speed and trajectory control algorithm, and meanwhile, the speed control adopt linear acceleration and deceleration control algorithm; Trajectory control, based on the traditional point by point comparison arc interpolation method, puts forward the improved algorithm which can effectively improve the interpolation speed and interpolation accuracy. The experimental results show that the method can improve the machining precision and machining efficiency of laser engraving machine, and also can realize the high precision carving.
Drive Characteristic Analysis and Test System Design for Water Hydraulic Artificial Muscle
Authors: Zhang Zeng Meng , Gong Yong Jun , Hou Jiao Yi
Published: February 2014

Performance tests and drive experiments play an important role in researches on water hydraulic artificial muscles. A test system is designed to analyze the drive characteristic of the developed water hydraulic artificial muscle. Through simulation getting main parameters, the hydraulic circuit to regulate the pressure of the water hydraulic artificial muscle and a proportional control loading system are built. The pressure control and drawing force regulation in the loading system for muscles with different diameter and length are provided by the designed test system. The experimental results show that the muscle pressure can be adjusted stably and the contraction of the tested muscle can be measured under different preset drawing forces. The test system for the water hydraulic artificial muscle is useful in the researches on drive characteristic and control system of the water hydraulic artificial muscle.
Improvement and Design of Single Coil Vibrating-Wire Sensor Signal Acquisition System Based on STM32
Authors: Mao Suo Ying , Zhao Jun Hua , Zhou Fang Fang
Published: February 2014

Vibrating wire sensor signal acquisition system is widely used in the fields of water conservancy dam, slope, construction, mining and so on to measure osmotic pressure, soil pressure, strain and other physical quantities. This paper studies the single coil vibrating wire sensor signal acquisition system,which uses the STM32F103 core processor generating a low-voltage feedback PWM signal to excite vibrating wire with scanning frequency, after signal amplification, filtering and signal normalization through the frequency measurement module, and ultimately achieve frequency measurement. The system can improve the traditional vibrating wire acquisition instrument, so as to achieve fast and efficient and reliable long-lasting measurement. According to some simulation and designed circuit, the measured data and diagram can verify the feasibility of the method.
A Novel Infrared Landmark Indoor Positioning Method Based on Improved IMM-UKF
Authors: Zhang Yi , Chen Hong Song , Luo Yuan
Published: February 2014

In structured environment, according to the requirement of indoor robot navigation for accuracy and real-time performance, On the basis of a novel positioning method using infrared landmarks, another novel infrared landmark indoor positioning method which uses high power infrared tube as landmarks, infrared camera as receiving sensor ,and combines track deduction is proposed in this paper. An improved Interacting Multiple Models Unscented Kalman Filter (IMM-UKF) data fusion algorithm for the two positioning scheme is used to improve the precision. Experimental results show that the novel infrared landmark indoor positioning method can increase the location speed and precision effectively.
Weighted K-Means Clustering Analysis Based on Improved Genetic Algorithm
Authors: Zhang Tong Jie , Cao Yan , Mu Xiang Wei
Published: February 2014

An algorithm of weighted k-means clustering is improved in this paper, which is based on improved genetic algorithm. The importance of different contributors in the process of manufacture is not the same when clustering, so the weight values of the parameters are considered. Retaining the best individuals and roulette are combined to decide which individuals are chose to crossover or mutation. Dynamic mutation operators are used here to decrease the speed of convergence. Two groups of data are used to make comparisons among the three algorithms, which suggest that the algorithm has overcome the problems of local optimum and low speed of convergence. The results show that it has a better clustering.
Neural Network Ensemble Based on Clonal Selection Algorithm for Sneak Circuit Analysis
Authors: Liu Bing Jie , Lu Wen Zhong , Ji Hai Yan
Published: February 2014

The paper proposed a novel neural network ensemble algrithm (NNNEA) whose individual was generated by clonal selection algorithm. NNNEA can produced individuals of ensemble with better difference than other algrithm. NNNEA was used for predicting ciruit functions and finding sneak circuit. The inputs of NNNEA are states of switches, and the outputs are states of functional components. NNNEA predicted all possible functions of circuit. The sneak circuits can be discovered by comparing the predicted with designed functions. Although there are several limitations of NNNNEA, the results revealed that NNNNEA can exactly discover sneak circuits.
4-DOF Dynamic Model of the Container Crane Spreader
Authors: Rong Lei , Zhao Meng , Cui Jian Hui
Published: February 2014

The sense of behaving reality in the container crane simulator depends on the dynamic model of the crane spreader in three-dimensional space. The movement of simulating objects in the crane container simulator is discussed. Simulating objects include gantry, trolley and spreader. The paper adopts the second Lagrange equation. Through reasonable hypothesis, 4-DOF dynamic model of the spreader is derived in the generalized coordinates system. With the different length of sling and acceleration of the trolley, 4-DOF model is analyzed by dynamic simulation. Matters needing attention are summarized for the process of container handling. At last the paper gives a simulation example.
Testing Study on Rock-Like Materials under Water Pressure Conditions
Authors: Wang Xiang Gang , Zhu Wei Shen , Gong Bin , Wu Xue Zhen
Published: February 2014

According to test exploration and research, the authors developed a multiaxial compression testing machine and water injection pressure device. Using the device, the authors carried out a multiaxial compression testing of transparent rock-like material successfully under water pressure condition. It has important meanings to the study on the engineering characteristic of fractured rock under pressurized water conditions.
Flex: A Flexible Block-Level Distributed Storage System
Authors: Li Yong Chuan , Peng Yu Xing , Li Hui Ba
Published: February 2014

With the rapid development of cloud computing, there are many storage structures have been proposed for satisfying cloud-based softwares requirements. Most existing distributed storage systems focus on a certain objective and only provide a certain storage structure. In this paper we present a novel block-level distributed storage system named Flex which integrates storage resource dispersed on the network into a whole one. Flex uses a device mapping framework to create dynamic and flexible storage structures for users. We have implemented the prototype and evaluated its performance; results show that Flex can provide a high performance in diverse storage structures.
Implementation of the Fast Median Filtering Algorithm Based on FPGA
Authors: Li Jin Lun , Cui Shao Hui , Guo Ku Nao
Published: February 2014

Real-time image processing has been a difficult problem in embedded image processing system. The traditional MCU could not meet the real-time demand when large volume of data awaited to be proceed. FPGA is an effective driver to achieve real-time parallel processing of data. The implementation rationale and the design of module have been given in this article; and the Hard Software has been truly achieved. At the end of the article, the simulation waveform graph has been obtained by processing functional simulation on algorithm module by using Modelsim software; and the simulation result shows that this design is able to proper functioning and has good application prospects.
Research on TD-LTE Downlink Packet Scheduling
Authors: Li Xiao Wen , Meng Xiang Song , Zeng Li
Published: February 2014

In order to solve the limitations of classical packet scheduling architecture in TD-LTE, the TD-LTE downlink packet scheduling was studied and a architecture of downlink packet scheduling for TD-LTE is designed. The packet scheduling architecture was built and three classic scheduling algorithms were simulated in this architecture by Matlab. The simulation results show that the packet scheduling architecture can be applied to scheduling algorithms with different purposes and verify the performances of throughput and fairness of these three scheduling algorithms.
Research on Dependable Level in Network Computing System
Authors: Li Yong Xia , Xu Guang Xia , Liu Shuang Yan
Published: February 2014

The most weakness link in credible monitoring is that how to process multidimensional dynamic behavior data effectively. System behavior monitoring often needs to deal with different kinds of behavior data and those data can adopt status snapshot in multi-dimensional vector form to express. Obviously, data has strong useful knowledge information, which is regarded as a kind of classification ability. So we need to finish the mapping and classification between a variety of network behavior snapshot and dependable level. This paper introduces on network state snapshot owning the characteristics of high dimension, heterogeneous and dynamic and uses the theory of interval intuitionistic fuzzy to judge credible degree in the system and generate behavior quality trust level of nodes.
Conceptual Design of Mobile Data Collection System for Traceability in Agriculture
Authors: Gao Hong Mei , Liu Yu Chuan
Published: February 2014

Issues for food traceability are receiving enthusiastic research interests recently. Traceability system is aimed to provide information visibility through the farming, production, packing, distribution, transportation, and sales process. The objective of this research is to develop a mobile data collection system to enhance the efficiency of e-traceability data construction. The mobile system consists of a front-end application service with cell phone and QR code labels. By scanning the QR code labels related to the farming operations, traceability data can be uploaded simultaneously to the back-end web server. The miscellaneous traceability data construction can be simply replaced by scanning QR code labels. Applications of this mobile system can significantly reduce the complexity of traceability in agriculture.
A Service Discovery Algorithm Based on Network Topology Management
Authors: Han Xing Ye , Li Xin Ming
Published: February 2014

In view of the current development trend of Web service discovery technology and based on the service discovery method of formal concept analysis, the paper puts forward a service discovery algorithm based on QuickPeer, which exploits the idea of P2P network topology management to manage the formal concept of Web service in order to optimize the existing service discovery algorithm.
A Junk SMS Filtering Application Based on Bayes Algorithm
Authors: Jing Fang Fang , Cai Miao
Published: February 2014

First, this paper introduces some technology about the junk SMS filtering, analyzing the principle and model characteristics of junk SMS filtering, which are based on the Bayes Algorithm. It also gives the Simulation results and the framework process of Bayesian filter. At the same time, it proposes an improved method of the Bayesian filter, which can increase the accuracy rate. Eventually it provides the conclusion.
Implicit Encryption of Timing Packet with Statistical Side Channel Coding
Authors: Zhu Bo Tao , Liu Xiao Xiao , Huang Jun Steed Huang , Chen Zu Jue
Published: February 2014

This paper proposes a statistical coding methodology using covert side channel information to solve timing packet security issue, the main purpose here is to enhance the security of the timing protocol with backward compatible capability. In wireless communications, either ad-hoc military/ industrial network, or LTE/ LTE-A networks, GPS is used to provide time and location; however, the hackers often trying to spoof the signal. The alternative way of providing such signal is using protocols like IEEE1588 Precision Time Protocol (PTP); unfortunately, current timing packet is not encrypted, it can be altered by the hackers. To maintain the simplicity of such protocols, most vendors are reluctant to add encryption on top of it; nevertheless, the end customer wishes to see it. To solve this dilemma, we propose a backward compatible solution here. The basic idea is demonstrated using Matlab FFT calculation tool. The future extension using Fractional FFT is also suggested at.
Well Group Connectivity Relations Discriminate Based on CART Algorithm
Authors: Liang Ji Sheng , Zheng Wei , Yuan Zi Bo
Published: February 2014

Up to now, the common method of reservoir well group that is dynamic connectivity, it mainly includes tracer testing, stress testing, well testing, and numerical simulation. The implementation of these methods is more complex, expensive, high cost, and will affect the normal production of the oilfield. Because of the convenient injection and dynamic data it can get convenient. This paper presents a method that using dynamic reservoir development data inverse well group connectivity. CART algorithm analysis and extraction of potential knowledge from the oilfield development. It establish direct mapping of logging data and well group connectivity relationship. Experiments show that using dynamic data to study well group connectivity relationship can greatly reduce the cost and as a result has a higher accuracy.
Research and Implementation of Interceptor Based General Physical Pagination Component of Mybatis
Authors: Peng Na Xin , Chen Yu Qiang
Published: February 2014

To the situation of hardness of Mybatis pagination, propose an interceptor based general physical pagination component. The component is designed by MVC(model-view-controller). Controller is realized using annotation based controller of Spring MVC. To design the business logic layer core method into general, DAO method custom and generic model was introduced. Interceptor was introduced into data persistence layer to realize physical pagination. JSP is used in page displaying. Give the detailed realization process of the component. Application results show that the proposed component has good generalization and portability, high execution efficiency and better flexibility.
Establish a Dynamic Business Driven Integrative Information Security Architecture
Authors: Tang Chang Long
Published: February 2014

With Respect to the challenges most organizations are facing when considering information security management, especially how to demonstrate the value of security to senior leadership and how to meet all kinds of legislations in one place, this article describes a dynamic business driven integrative information security architecture to address those problems. By designing the architecture through three levels which are domain level, component level, and control level, the architecture is target to establish alignment and traceability between business and security, build customer service concept within security practices, establish a dynamic and integrative framework, and manager information security in a more predictive and proactive manner. By applying this architecture into a real life business case, the fact shows that after the implementation, the major security indicators have been visibly improved.
Design and Implementation of Next-Generation Data Center Infrastructure
Authors: Fang Fang , Yu Xiao Feng
Published: February 2014

A typical data center includes infrastructure, system architecture, applications and data, business processes, organization and operation comprehensive. With the application of information technology and the rapid development of information technology, the traditional data center faces tremendous challenges. Next-generation data center built adaptability and high availability computing environments through resource integration and management, virtualization, security and energy management technologies. It can solve data center costs of rapidly increasing prevalence, resource management increasingly complex information security challenges, and the energy crisis and other acute problems. Design and implementation of next-generation data center must follow from the overall situation, service-oriented, overall planning and construction of new principles.
Performance Analysis of Web Services in Different Types of Internet Technologies
Authors: Hussain Shariq , Wang Zhao Shun , Toure Ibrahima Kalil
Published: February 2014

Web services technology gained popularity in recent years and became an evident model of Web. The benefits offered by web services include provision of platform for interaction of several applications through the Internet. Users interact with web services by means of Internet. The tremendous advancement in Internet technology has enabled new form of services and activities. Performance of web services is of great importance to the users and is heavily dependent on underlying Internet access technologies. In this paper, we describe three mostly used Internet access technologies and analyze the performance of web services over these technologies by using open-source web service testing tools. Results of the comparison will help in better understanding the impact of these technologies on performance of web services, and also selection and usage of suitable Internet access technologies for web services.
Analysis of Hexagonal Network Based on Cellular Automation
Authors: Gong Jie Zhong , Chen Gong Liang , He Hui , Li Jian Hua
Published: February 2014

With reference to the traditional two dimensional cellular automata network model, we design a kind of hexagonal network model with reconfigurable boundary. By simulating, we have achieved a series of experiments based on the model of the network packet exchange .Then we draw that the node load under congestion phase state is with characteristics of white noise and 1/f noise by computing the power spectrum density. And the results reveal the fact that, the hexagonal one gains more efficient network transmission capacity than the square one, and it is more applicable for the behavioral modeling study on the large-scale network.
TCFI4J: A Trust Enhanced Control Flow Integrity in Java Virtual Machine
Authors: Mei Song Zhu , Cheng Yong , Ren Jiang Chun , Wang Zhi Ying , Ma Jun , Wu Jiang Jiang , Zhao Yu Liang
Published: February 2014

Along with the developing of information technology, Java platform a plays more and more important role in building enterprise information system. Especially after the cloud computing emerged, Java applications are used as kinds of services to provide the users some function. Users use these services remotely, and the applications should give the users some trust evidence. Control-flow integrity endows the software the ability to show the applications' behaviors conform to the users' expectations. But the Java virtual machine's memory organization is different from physical machine and hinders the application of CFI. This paper gives out the a novel way to enforce the control flow integrity to the Java applications based on the memory organization of the Java virtual machine. The method presented in this paper can provide the user information about an applications behavior, and significantly improve the security of a Java application.
Research and Design of Multi-Source Heterogeneous Information Integration Platform for Metadata Service
Authors: Guo Xiao Ming , Ma Liang Li , Su Kai , Sun Yu Fei
Published: February 2014

Based on metadata technique, this paper introduced metadata service oriented multi-source heterogeneous information data integration frame for large multi-source heterogeneous information integration management and interconnecting, intercommunicating, interoperability between different heterogeneous information systems. This metadata service oriented frame, benefiting from knowledge base of data warehouse, had 5 layers frame system including resource layer, integration layer, management layer, service layer and customer layer. Metadata service system contained data layer, directory service logic layer, data exchange layer and Web presentation layer. This paper represented that the metadata service was the core of integration frame, and the realization of integration management platform was feasible.
Research on the Localization Technology for Wireless Sensor Network
Authors: Zhang Hong , Zhang Xing Hui , Ma Ai Sheng
Published: February 2014

Aiming at the inherent deficiencies of large-scale wireless sensor network for positioning technology, the DV-hop algorithm is mainly studied and improved, and two kinds of improved algorithms DV-hop and DV-hop+Lastdist DV-hop-MinMax are proposed, and can select the appropriate algorithm according to actual application environment. Finally, the paper gives the method to realize OMNeT + + in the simulation environment, and carries out the simulation analysis.
Application Research of Wireless Communication Technology in Remote Meter Reading System
Authors: Hong Zhang , Wang Jun Jie , Ma Ai Sheng
Published: February 2014

In view of the problems in the current domestic and international remote wireless meter reading system, propose the remote wireless meter reading terminal system based on ZigBee technology combined with GPRS technology, carry out the hardware circuit design of each module, establish ZigBee wireless meter reading network based on 802.15.4 layer networking protocol, design a more practical remote wireless meter reading protocol and data transmission format. Test results show that it has realized the formation of ZigBee network, collection and remote transmission of meter data, terminal equipment parameters modification and other functions to achieve the terminal design requirements.
The Design of Modern Agriculture Control System Based on Internet of Things
Authors: Wang Bin Peng
Published: February 2014

This paper involves the modern agricultural application control system which is based on internet of things, and this intelligent management system uses intelligent control technology such as S7-300, GSM,WSN and Zigbee to realize the modernization of rural security, agricultural production and residents living fully intelligent managed. This system applies precision agriculture, digital image processing, wireless data transmission and other fields, really combining digital management technology with embedded technology. At the same time, this system which is based on internet of things is the necessary path of modern agriculture informatization strategy. With the mature development of technology of internet of things in modern society, modern agriculture application management system based on internet of things will bring new change to agriculture and high efficiency of agricultural production.
Information Extraction of High-Resolution Remotely Sensed Imagery Based on Object-Oriented Method
Authors: Zhan Fu Lei , Yang Guo Dong , Zhang Xu Qing , Niu Xue Feng , Shao Peng , Tang Tian Qi
Published: February 2014

In this study, on the basis of pixel-based classification, object-oriented classification method was used to extract information from high resolution satellite imagery. Select the Binhai New Area as the study area,World View-2 data was selected as data sources, the rule sets of information extraction developing were established firstly, then the parameters of imagery segmentation and classification were tested repeatedly to achieve building hierarchies and map elements. The results showed that object-oriented information extraction method was feasible, and the extracted information was used to produce thematic map on the ArcGIS platform.
Design of Contents Recommendation Model Based on Gray System Theory
Authors: Zhang Li Hua , Zhang Yi Wei
Published: February 2014

In order to improve evaluation of e-learning systems, this paper introduces a model of learning content recommendation based on grey systems theory and gray relational analysis algorithms. This work analyses e-learners behaviours of e-learning and log files of the platform, find the most resemble e-learner, use his/her learning trail to recommend e-learning resources. The gray system theory can solve the problem of lacking historical data. And this model reach the purpose of selecting individual teaching contents intelligently.
Fuzzy Based Distance Correction Algorithm for Digital Image Interpolation
Authors: Xu Yan , Dong Jiang Tao , Wang Zhi Qiang
Published: February 2014

Image interpolation is one of the key technologies in image processing. A special distance correction algorithm based on membership function is proposed in this paper to complete image interpolation. Fuzzy logic is used to get the membership function with the local characteristics of the gradient and phase angle. The first step is to correct the special distance of interpolated pixels along one dimension in the basis of local asymmetry features and the membership function, then convert the corrected distance of one dimension into two dimension, applying the corrected distance to conventional image interpolation algorithms. Experimental results demonstrate that this algorithm can produce better results in regard to the signal-to-nosie ratio and succeeds in preserving interpolation image edges of various directions.
Compressed Sensing Based Neural Signal Processing and Performance Analysis
Authors: Zhang Yu Xi , Fan Wen Gui , Sun Jin Ping
Published: February 2014

Measurement of neural signal provides important value for study of brain function and the pathogenesis of neurological. With emerging extensive research of electrical activity, more and more neural signal need to be collected, transmitted and stored, making the compression processing of neural signal become important part of digital signal processing. In recent years, ASIC-based wireless neural signal acquisition system has been developed rapidly, encountered strict restrictions on power consumption which is dominant determined by the data rate and complexity of algorithm. In order to reduce power consumption, lower data rate and algorithm with lower complexity needed to be selected when design a neural acquisition system. This paper focus on neural signal compression method based on compressed sensing and its performance and compare it with conventional compression algorithm. We compare complexity of various algorithms in the view of circuit complement, show that the complexity of neural signal compression can be dramatically reduced by using specially designed compressed sensing matrix, thereby reducing the system power consumption.
Application of Paralleling Genetic Algorithms in the Reliability Optimization Questions of the Same Category Computer Networks
Authors: Qian Jun , Chen Zhen Yu
Published: February 2014

In order to restrict the cost and improve the network reliability, we need to explore the paralleling genetic algorithms. Based on the default internal topology structure, we can select the best assembly method through multiple classified exchange facilities and transmission media. Coarsness algorithm is suited for the cost evaluation that will help improving the network stability. The process of optimization and simulation can describe: after comparing the genetic algorithm of serial classes, coarsness algorithm has the clear and unique characteristics. It will up evaluate to the specific speedup ratio and promote total mass after system optimization at the same time. .
Houpo Quality Assessment Based on Data Mining and Defuzzification Gamma Distribution
Authors: Lin Jian Yang , Zhou Hui , Jiang Ming Yan
Published: February 2014

According to the traditional morphological classification, the Houbo quality of traditional chinese medicine is divided into recommended products and non-recommended products; Discrete the chromatography data of the Houbo which obtained under the condition of standard test and also make the data mining. Obtaining the great peaks of linear independent vectors and obtaining every clustering centre data of Houbo by the fuzzy and Defuzzification methods. Make Houbo criterion and sample data as weibull distribution to calculate similar. This research combines the plant morphology, chemistry, statistics and calculating technology to establish the pattern identification methods of quality and have good attempt to Chinese traditional machine quality methods. The research results provide the basis for quality standard revision of Houbo.
Research on Prognostic Method Based on SVR Optimized by Improved QPSO
Authors: Li Wan Ling , Song Xiang Jun , Chen Yan
Published: February 2014

Prognostic capability is a very important character for PHM distinguishing from other diagnosis systems, fault prognostic method based on SVR was researched on in this paper. In order to solve kernel function parameters, penalty coefficient and insensitivity loss coefficient of SVR, improved QPSO was put forward to train SVR in this paper. And then a certain power supply combination in beam control system of a certain control and guide radar was taken as an example to collect voltage signal and forecasted, and its precision was very perfect and could satisfy prognostic demand.