bluuebunny/crossref_metadata_2025 huggingface dataset:
Terminal Sliding Mode Control of the Flexible Manipulator
Authors: Li Sheng , Wang Yi Qing , Hou Bao Lin
Published: February 2014

Aimed at the finite-time stabilization problem of a class of flexible manipulators, a stabilization controller based on terminal sliding mode control was proposed in this paper. Firstly, the nonlinear model of flexible manipulators was transformed into linear system through the exact state feedback linearization. Based on the finite time stabilization control method of the linear system, a stabilization controller based on terminal sliding mode control was designed for the flexible manipulators. Furthermore, it was proved that all the states of flexible manipulators could be stabilized to equilibrium in finite time with the proposed controller. The simulation results showed that the performance of the flexible manipulators with the proposed finite-time state feedback controller was effective. At last, the analysis and comparison of the proposed controller and the finite-time state feedback controller were given.
Transfer Matrix Method for Multibody Systems of TITO System Control Applications
Authors: Hendy Hossam , Rui Xiao Ting , Zhou Qin Bo , Yang Fu Feng , Khalil Mostafa
Published: February 2014

Many real systems such as inertial measurement unit (IMU) in vibration environment, avionic systems in flight tests, half car dynamic model in rid comfortable test and suspension design…etc. can be expressed as Two-inputs-two-outputs (TITO) system for more realistic analysis than single-input-single-output system (SISO); but with more additional complexities. Comparing Transfer Matrix Method for multibody systems (MSTMM) with classical dynamic methods has preferences of modeling flexibility, low order of system matrix, and high computational efficiency, without necessity of deriving the system’s global dynamic equations. The need of combining control strategies with MSTMM becomes an issue of paramount importance due to that a lot of systems are considered as multibody systems, some need control to obtain higher accuracies requirement, vibration isolation treatment, …etc. As a rule of thumb the concept of designing vibration isolator in one field can be applied in many other fields. In this article a generalized TITO model is analyzed using MSTMM to deal with the vibration problem via an active isolator for both vertical translation and pitch responses. Active isolation is applied via Proportional-Integral- Derivative (PID) controller to prove the capability of formulating a relationship between MSTMM and well-known control methodologies to mitigate vibration effects. For verification purpose the analyzed model is verified using data for half car model and standard formulae for road models input excitation test. The achieved results declared that MSTMM can be combined with control techniques without need of special treatments or preconditions for different models with the advantages of MSTMM. This article allows wider developed control applications to use MSTMM simple application for more complex systems models. Dilatation in studying controlled systems using MSTMM provides a possibility for incoming control applications because of the good dealing of MSTMM with the increased complexities of multi-rigid-flexible-body problems.
The Application of Artificial Intelligence Technology in Electrical Automation Control
Authors: Xiao Shu Qiang , Peng Jian Chun
Published: February 2014

Computer technology has become the world's most popular information technology, computer programming software technology continues to progress, leading people to the level of economic life. The human brain is the most advanced machines, all computer programming is to emulate human computer, the computer program to imitate the human brain as the main purpose to achieve our automation development. For electrical automation of the whole control process, it is through automation equipment to complete the entire process of production, distribution, etc. Thus to a large extent, reducing the cost and working efficiency are also increased accordingly. With the development of information technology, it constantly have new technology into engineering, and the transition phase, the automatic control technology put forward new challenges, promoting the theory of intelligence in the application of control technology, in order to solve the problem with traditional methods.
The Application of Game Theory in RoboCup Soccer Game
Authors: Li Ping , Zhu Jun Yan
Published: February 2014

In response to characters of multi-robot systems in RoboCup soccer game and dependence between decisions of robots, multi-robot systems task allocation was analyzed by means of game theory in this paper. Formalized description based on game theory for multi-robot system task allocation was offered, and a game theory based task allocation algorithm for multi-robot systems (GT-MRTA) was proposed. Experiments show that GT-MRTA has low complexity, and less time-consumption, can obtain comparative schemes with centralized method, and shows good robustness to communication failure and robot failure.
The Design and Realization of Remote Voice Control System Based on the Intelligent Home
Authors: Yang Ye Fen , Zhang Jun , Zeng Dong Hai
Published: February 2014

A design program of remote voice control system is presented based on the intelligent home on Android mobile phone platform. Via the voice recognition of Android mobile phone, the intelligent home can have a remote voice control function by this program, which greatly improves the security requirements of the intelligent home. This system is tested and proved its real-time, effectiveness and stability. Meanwhile, it can also provide a practical reference solution for human-computer interaction, having a wide range of application.
The Research on Standardization of White Light Measurement in Automotive Sheet Metal Parts Measurement
Authors: Zhan Gao Wei , Li Ming , Liu Jing , Xiao Wu Hua
Published: February 2014

White light measurement is increasingly applied in automotive sheet metal parts measurement nowadays. Although white light measurement has substantially improved the measuring efficiency, this method has a low precision and poor reproducibility at present stage. This paper firstly analyses the process of white light measurement, then uses DMAIC Method to establish a unified measuring standard for white light measurement, in order to improve the precision and reproducibility of this method and promote the equipment utilization.
Magnetic Guidance Drilling Technology Field Test
Authors: Cao Xiang Feng , Guan Zhi Chuan , Liu Qing Long , Sun Feng , Xu Yun Long
Published: February 2014

Magnetic guidance drilling technology is use of magnetic guidance instrument measuring the distance between the signal source and the location of the instrument, and it is used to control the well trajectory to connect or parallel the target layer. And it is an effective supplement of the existing steering drilling technology. At present, the magnetic guidance drilling technology is mainly applied to drill horizontal wells in pairs for the super heavy recovery, CBM horizontal connected wells, underground soluble minerals, relief well and so on. This paper introduces the situation of the magnetic guidance drilling technology.
Error Analysis of Harmonic Measurement Device and Solution
Authors: Xu Jiang Chun , Xi Hai Dong , Li Yu Hui , Zeng Shu Fan , Wu Zhi Dong
Published: February 2014

Aiming at the shortage of lowprecision harmonic wave's analysis in China, and the inadaptability of error transmitting, we analyze the error sources and come up with an approach, Direct Data frequency Synthesizer (DDS), to replace the traditional analog Phase Locked Loop (PLL) to track the frequency of measured signal. Non-integer-period Discrete Fourier Transform (DFT) compensation algorithm is used for processing data. Accordingly a high-precision harmonic standard device is designed in this paper. The final test shows that this solution can efficiently improve the precision.
A High Performance Current-Mode Instrumentation Amplifier with Level Shifter for Single Power Biomedical Applications
Authors: Chow Hwang Cherng , Tang Bing Shiun
Published: February 2014

In this paper, a high performance current-mode instrumentation amplifier has been proposed with low noise, low power and high CMRR features. The proposed design can adjust the gain with an external resistor for the processing of various biomedical signals. To reduce the noise of the amplifier, two design methods including PMOS input and lateral pnp BJT input have been implemented to improve the prior arts. To meet the single power supply need, a biomedical voltage level shifter is also proposed for low cost CMOS implementation. Based on the post-layout simulation results, the presented current-mode amplifier achieves high CMRR over 120 dB, power consumption of 61 uW at 1.8-V supply using standard 0.18-um CMOS technology.
Application of Muti-Depth Deflectometer in Flexible Pavement
Authors: Han Wen Yang , Yu Si Xin , Wei Jin Cheng
Published: February 2014

This article introduces the application of the MDD(Multi-depth Deflectometer) in the asphalt concrete concrete pavement. By analyzing its work principle, MDD was calibrated to get the real response of the pavement structure and reveals its true condition. It also introduces the details of the MDDS installation and illustrates the analysis of the typical response date, which is helpful for the further application of MDD in the asphalt concrete pavement design.
Application of Thermal Gas Mass Flow Meter in EGR Cooler Test and Analysis System
Authors: Song Ping , Hao Zhi Yong , Tao Da Yuan , Ren Xiao Shuai , Zhang Xue Dong , Guo Hui
Published: February 2014

This paper studied the principles of thermal gas mass flow meter. According to the car engine EGR cooler working principle, we found out a kind of heat dissipation gas mass flow meter to measure the mass flow quantity of the gas in the EGR cooler test and analysis system which is a newly applied invention patent. We analyzed various parameters of the gas mass flow meter suitable to the system. Meanwhile, in order to verify reliability of the thermal gas mass flow meter in the system, we adopted CFD method to simulate the EGR cooler by using empirical parameters, and collected several related sensor parameters of the EGR cooler in the condition that the inlet temperature was constantly at 368K while the coolant had 4 kinds of degrees. Combining heat empirical formula, we got the EGR cooler outlet temperature and the overall heat transfer coefficient. After comparing the calculated values of the gas path total EGR cooler outlet temperature and heat transfer coefficients with the experimental values, we found that the outlet temperature values of experiment were smaller than the calculated values by averagely 1.17%, while the average experimental values of the overall heat transfer coefficient were 3.1% larger than the calculated values. Thus, this type of mass flow meter has good stability in the newly applied Chinese patent EGR cooler performance test and analysis system.
Application of MSE-EEMD Method in Gear Fault Diagnosis
Authors: Xu Min Qiang , Li Yong Bo , Zhao Hai Yang , Zhang Si Yang
Published: February 2014

Focus on the nonlinear and non-stationary characteristics of gear box vibration signal, the method of gear fault diagnosis based on Ensemble Empirical Mode Decomposition (EEMD) and multiscale entropy (MSE) was proposed . The complicated signal can be decomposed into several stationary IMF components with reality meanings by EEMD which has the advantages of eliminating aliasing state of vibration signal, and the MSE can extract the fault feature from the signals effectively. The concepts of EEMD and MSE are introduced firstly, and then they are applied to measure the complexity of gearbox signals. Through the engineering application of the diagnosis on gear typical fault of different wearing degree demonstrated that the proposed method can extracting the fault feature of gear fault effectively and realize the gear fault diagnosis.
Identification of Power Quality Disturbances Based on FFT and Attribute Weighted Artificial Immune Evolutionary Classifier
Authors: Li Hong Yi , Fu Yi , Zhao Di
Published: February 2014

Nowadays, the issue of Electromagnetic Compatibility is of great importance and urgency. In this paper, we propose a novel hybrid automatic identification system for power quality disturbances, which lays foundations for further analyzing the electromagnetic compatibility. Specifically, we firstly extract features by using the FFT and envelope detection method. Then we utilize the attribute weighted artificial immune evolutionary Classifier (AWAIEC) for classification of power quality disturbance events. Experimental results have shown that the proposed method performs better than existing approaches.
The Design of Remote Monitoring System and Diagnosing System in Natural Gas Compressor
Authors: Nie Huan Huan , Wu Zhen Lu , Yu Guo Yan
Published: February 2014

The frame structure of monitoring system is introduced and the network structure of monitoring system is analyzed in this paper. Fault diagnosis expert system is put forward and the fault inference rules are elaborated according to the fault of natural gas compressor of a company. The significance of the system is summarized in the end.
Using IEC 61850 for Power Equipment Condition Monitoring Diagnosis System
Authors: Jiang Jun
Published: February 2014

Power equipment condition monitoring diagnosis (CMD) system includes 4 parts, master stations in control center master station system, integrated processing unit in subsation, monitoring device, and communication network. To achieve a seamless communication with the condition monitoring device and master station, IEC 61850 shall be used. Based on IEC 61850, the configure file, information model, information exchange model are standardized.
Electronic Current Transformer Test Method Research
Authors: Jiang Han Shu , Yu Xu , Wang Han Jie
Published: February 2014

With the extensive use of electronic current transformer, check the original method cannot meet the requirements of electronic current transformer performance testing technology. In 500 kV Jincheng a variable electronic current transformer as the test object, the principle and design characteristics of electronic current transformer, proposes an effective test method, ratio and through field test of low power coils and Rogowski coils 2 coil error, phase error and polarity, verify the validity and accuracy of the method.
Optimal Placement of Sensors for Monitoring Systems on Suspension Bridges Using Genetic Algorithms
Authors: Han Li Zhong , Zhang Jin Quan , Yang Yun
Published: February 2014

Damage detection is the most difficult part of structural health monitoring Systems. In order to acquire response information as much as possible, sensors should be carefully placed. Taking Tai Zhou bridge as an example and using the genetic algorithms (GAS), this paper discussed the optimal placement of sensors on suspension bridges for detection of accumulated damage for structural health monitoring systems. After a brief discussion on the classical GAs, and used an example to compare them with the classical GAs. The results show that the generalized GAs are clearly more effective than the classical GAs. On the basis of displacement and curvature modes, three expressions of the fitness were defined for different sensors and tasks. The generalized GAs were used to search the optimal placement of accelerometers and strain gages on the stiffening decks and the towers of Tai Zhou bridge. The results show that the generalized GAs give reliable and stable results with rapid convergence.
An Improved Method of Adaptive Median Filter Based on Noise Density
Authors: He Ping , Zhang Hong Jian , Liu Chao , Guo Yuan
Published: February 2014

To filter salt and pepper noise and protect the texture details of images effectively, an improved method of adaptive median filter is proposed. It can detect the suspicious noise by adjusting the filter window size and adopting the filter algorithm of adaptive texture direction in low density noise area and the filter algorithm of euclidean distance weighted average in high density noise area. Experimental results show that this method has better de-noising and detail-preserving performance.
Research on Intelligent Knowledge Recommendation System for Police Applications
Authors: Jiang Ji , Tang Jian Gang
Published: February 2014

This paper proposed knowledge content tag recommendation algorithm in cloud computing Environment, and applied to police information knowledge. The algorithm analyzed user behavior history of operation and considered the similarity knowledge of the entries on the tag of police information, marked weight of tag in predicting when a user rating. On this basis, the police information implementations specific recommendations based on the specific user application knowledge. Meanwhile, combined the tag of system entry contents correlation with user correlation analysis, and solved the problems of system sparse matrix. Finally, the results demonstrated the effectiveness and superiority of recommendation algorithm.
Reach on Wireless Sensor Networks Security Issues and IDS Model
Authors: Tang Jian Gang
Published: February 2014

Security measures could not absolutely prevent network intrusion. The security technology of intrusion detection system had made up for the lack of preventive measures; it could provide real-time intrusion detection and take appropriate protection for network. The research directions of WSN security were how to improve security strength and prolong the life of nodes, how to enhance the preventive ability of intelligent security system and real-time detection with high detection accuracy. This paper analyzed the typical network intrusion and defensive strategies, and researched WSN intrusion detection model by analyzing the typical algorithm. IDS model was divided into three types the first was based on single-node detection, the other was based on Multi-node peer cooperative, and the third was based on task decomposition level. Finally the paper gave the main research topic and direction for WSN security issues.
Study on Data Fusion and Optimization Based on Neural Networks
Authors: Cheng Liang
Published: February 2014

Due to limited energy wireless sensor networks, in order to extend the life cycle of WSN, the need for wireless sensor network routing protocol has been improved, based on the original model of hierarchical routing protocol LEACH algorithm, combined with efficient use of energy, new determine the clustering structure methods. The paper used in each sub-clan structures BP neural network algorithm for nodes preclude the data set is processed to reduce the amount of data transmitted to the sink node, reduce communication energy consumption to prolong the network lifetime goal.
A Evaluation Method of System Performance Based on Cloud Theory
Authors: Qin Yi
Published: February 2014

During the evaluation of multi-source information system, uncertainty exists widely. In order to use and process the uncertainty and improve the creditability of system evaluation, this paper based on the cloud theory, studied the mapping method between nature variable and quantity variable. At the same time, the paper promoted a novel evaluation method of system performance based on the cloud theory. Finally, an example validates the process and feasibility of the method. The method exploits new application field for the cloud theory.
Comparative Analysis of Text Categorizer on Science and Technology Intelligence
Authors: Sun Pei Pei , Zhu Quan Yin , Zhou Lei , Zhang Yong Jun
Published: February 2014

In order to more effectively classify the science and technology intelligence text, the idea that classifying science and technology intelligence text categorization based on different classifiers is proposed. The experiment is done with two thousand Chinese texts based on three different classifiers in this paper. Among these classifiers, the rate of correctly classified instances with NaiveBayes Classifier is 96.95 percent and J48 Classifiers is 97.59. The highest of three classifiers is SMO Classifier and its correct rate is 98.65 percent. According to the analysis of experimental results, it is proved that the idea proposed is applicable to science and technology intelligence text categorization and it is able to meet the needs of text categorization.
USTC-MUSIC Algorithm for DOA Estimation of Coherent Sources Using Single Vector Hydrophone
Authors: Cheng Jin Fang , Zhang Chao Ran , Zhang Wei
Published: February 2014

The MUSIC algorithm cannot deal with the problem of DOA estimation of coherent sources, this paper proposes the USTC (unitary spatio-temporal correlation matrices)-MUSIC algorithm using single vector hydrophone to solve this problem, by utilizing the unitary spatio-temporal correlation matrix instead of the covariance matrix. The simulation results demonstrate that the USTC-MUSIC algorithm has a better ability to distinguish the coherent sources from different directions than the spatial smoothing MUSIC algorithm.
Solvent Effect on Morphology of Polystyrene Coating and their Role to Improvement for Biomolecule Immobilization in Application of QCM Based Biosensor
Authors: Masruroh  , Djoko D.J.D.H. , Didik Lalu A. , Rahmawati Eka , Pagaga Masdiana , Abdurrouf  , Sakti S.P.
Published: February 2014

This research is focused on the synthesis of a polystiren layer for biosensors based on a Quartz Crystal Microbalance sensor (QCM) to immobilize the biomolecule. The polystyrene thin film was deposited by means of spin coating method with various solvents, such as chloroform, toluene, xylene, and tetrahydrofuran (THF), containing a 3% polystyrene solution by mass. The morphologies of the polystyrene layers were observed via SEM/EDx. The polystyrene surface coated using chloroform as the solvent has a rougher morphology and the largest diameter pores compared with the other solvents. The result show the polystyrene surface coating produced with chloroform caused a higher frequency change, which resulted in the binding of a wider range of biomolecules.
Research on the Performance of Suppressing Interference Using Double Stages Wiener Filter in Underwater Noise Measurement
Authors: Ren An Min , He Lin
Published: February 2014

Measured data of hydrophone array could be interfered by underwater noise,so its essential to enhance the performance of suppressing interference for adaptive array processing. How to improve the performance of Double Stages Wiener Filter was discussed based on configuration principles. The influences of interference angle, array unit number and interference-to-noise ratio (INR) to suppressing interference have been analyzed through principle analysis and simulation experiments under different circumstances, including single or multiple disturb signals. Experiments show that the performance of suppressing interference depends on interference angle and INR more and array unit sum a little.
Research of Time Delay Estimation Based on Higher Order Statistics
Authors: Liu Qing , Han Shuang Wang , Ma Xiao Shu
Published: February 2014

The time delay estimation (TDE) is one of the most important techniques of characterization signal parameter. Delay parameter estimation is active in the field of signal processing. In this paper, On the basis of the basic theory method of time delay, the correlated time delay estimation, mutual-cumulants estimation and bispectrum estimation are analysed and discussed. Theoretical analysis and experimental results show that three methods is effectively used in time delay test, but higher order statistics (HOS) method can achieve the best effect. The HOS estimation method has many advantages, such as time delay estimation accuracy, high relative error small for Gaussian noise elimination ability.
A Multi-View Sonar Image Fusion Method Based on Nonsubsampled Contourlet Transform and Morphological Modification
Authors: Zhang Zhi Gang , Bian Hong Yu , Song Zi Qi , Xu Hui
Published: February 2014

In underwater detection, a single image from the image sonar doesnt have the capacity to fully describe the surface of the interested target. In practice, a target is usually detected from various views, and similar contours and textures in a series of multi-view images can be employed. This work offers a novel technique for the fusion of a series of sonar images in multi-view detection of the same target, to improve the quality of images and repair the regions of target. The method takes advantage of Nonsubsampled Contourlet Transform (NSCT) to acquire coefficient matrixes of different resolutions and directions. Besides, a framework for sonar image fusion is set up based on morphology modification. The coefficient matrixes in NSCT domain are fused in the multi-scale framework and revised in decision-making. Experimental results show that target regions in the fused sonar images are effectively repaired and image quality also get improved evidently.
Measurements and Mathematical Characterization of Uncertain Information
Authors: Xu Ning , Guo Jing Fang , Han Jin Fang
Published: February 2014

This paper, the problems of mathematical characteristics and measurements for three kind of uncertainty information are descussed by means of the logical analysis method. Firstly, By virtue of the analysis for the importance of uncertain information research in scientific development, a research chain: uncertainty informationinformation theorycomplexity is presented. Secondly, the mathematical characterization and measurements for three kind of uncertainty information are obtained in terms of the characteristic analysis for uncertain information .
Parameter Estimation of Rayleigh Distribution Based on MCEM Algorithm
Authors: Yang Hai Jun , Jin Xu Dong
Published: February 2014

MCEM algorithm produces based on the evolution of the EM algorithm. According to the MCEM algorithm theory, the iterative formula of parameter estimation of Rayleigh was derived based on MCEM algorithm, meanwhile the computer simulation algorithm was designed. Computer simulation shows that , in the case of the small sample, parameter estimation of MCEM algorithm is more stable and precise than MLE algorithm.
Estimation of SV Model with Leverage Effect Based on MCMC Technique
Authors: Yin Xiao Cui
Published: February 2014

This paper is to study the estimation of stochastic volatility model with leverage effect using Bayesian approach and Markov Chain Monte Carlo (MCMC) simulation technique. The data used is China's Shenzheng stock index. Estimations of model parameters are achieved by using MCMC technique in Openbugs Software, results show that there is leverage effect in Shenzheng stock series, convergence diagnostics suggest that parameters of the model are convergent.
Study on New Structural Health Monitoring Sensor of Aircraft
Authors: Zhang Yu Long , Zhang Wei Fang , Zhang Ai Ai
Published: February 2014

Sensor is the core component of structural health monitoring system, which can collect the data of structural damage. The structural damage state can be gained after further processing. Aircraft serves in rigorous environment, and existing sensors cant meet the demand of its structural damage monitoring for inherent defect. A preparation method of partial poling piezoelectric film sensor was proposed in the paper, which can be used for structural damage monitoring of aircraft in combination with lamb wave.
A New Hardware Isolation Architecture
Authors: Shang Ming
Published: February 2014

Virtual systems are usually attacked due to the vulnerabilities in the hypervisor. The hypervisor cannot solve this because its code size is too big to implement totally right. This paper proposed a new hardware-software architecture based on hardware isolation, which adds a new component in CPU to provide hard-level isolation. Even when the malicious code gets the highest software privilege, it cannot break into another domain from current domain. This paper also gives the implementation of the booting, memory isolation, scheduling, interrupt handling and inter-domain communication.
A Security Authentication Scheme in Wireless LAN for Portable Terminal
Authors: Wang Chang Quan
Published: February 2014

The portable terminal such as iPad, WIFI phone has limited computing power and transmission bandwidth compared with specialized computer, which is difficult to implement key cryptography algorithm with large amount of calculation question. This paper introduces a new EAP authentication method based on EAP-SAKE using hash function. Analysis result shows that the method can provide mutual authentication and key negotiation between peers,and can resist replay attack and man-in-middle attack.It has less communication load and computing amount, so it is more suitable for protecting the information security to portable mobile terminal which has limited resource in WLAN.
A Wu‘s Method Based Parallelization Design and Implementation for Algebraic Cryptanalysis
Authors: Zhou Huai Zhe , Ba Hai He , Ren Jiang Chun , Xie Tao , Zhu Min , Mei Song Zhu
Published: February 2014

Wus method is one of the effective methods for solving large-scale polynomial equation systems in algebraic cryptanalysis. But it will take a lot of time to solve polynomial equations with a serial algorithm of Wu’s method. In order to eliminate the bottleneck of computing time overheads, we proposes an efficient data parallelization scheme based on Wu‘s method. And a load balance mechanism applied to our scheme, which greatly improves computing-performance of Wu’s method and enhances its ability to meet challenges of algebraic cryptanalysis.
An Intelligent Detection Method for Network Security
Authors: Qiu Ling , Liu Cai Ming
Published: February 2014

To dynamically discover network attacks hidden in network data, an intelligent detection method for network security is proposed. Biological immune principles and mechanisms are adopted to judge whether network data contain illegal network packets. Signature library of network attacks and section library of attack signatures are constructed. They store attack signatures and signature sections, respectively. They are used to make the initial detection ability of proposed method. Detectors are defined to simulate immune cells. They evolve dynamically to adapt the network security. Signatures of network data are extracted from IP packets. Detectors match network data's signatures which mean some attacks. Warning information is formed and sent to network administrators according to recognized attacks.
The Improvement of Massive Amount of Data Information Transmission UDP Protocol in Poor Network
Authors: Yao Jia Xin
Published: February 2014

This paper provided a method and implementation technique about massive amount of data information transmission based on a variety of problems of the UDP communication in poor network. We provided a method based on several deficiencies of traditional method, which could remove the task that would keep the data package transmission in the correct order to receiver in order to reduce the communication burden and improve the stability and efficiency of transmission. A large number of actual tests proved that the improve protocol can transmit the massive amount of data information good although the network speed is below 10K/S which showed the practical value.
Study on the Rapid Detection and the Symbol Timing Technology of MSK Communication
Authors: Dong Zhan Qi
Published: February 2014

In view of the rapid detection, parameter estimation and symbol (also or bit) timing of MSK communication, the paper proposes a non-cooperative detection processing method after doing some analysis on the characteristic of the delay-multiply signal of MSK communication. With the proposed method, the non-cooperative receiver may achieve the feature extraction of the system working frequency, symbol rate and symbol timing regarded, only by doing delay multiplication and filter processing on the received signals; And the corresponding parameter estimation and the timing can be easily achieved. Especially, the proposed method does not need any a priori information, it can fit the need of low signal-to-noise ratio of non-cooperative communication detection.
Based on IPv6 Network and 4G Network System Security Analysis and Research
Authors: Wu Xin Min , Wu Hao Shu
Published: February 2014

First, as the 4G network, the introduction of IPv6 network layer security mechanism, security is enhanced at the same time, IPv6 security mechanism applied to the 4G network system security as well as new demands and challenges, followed by the core network based on IPv6 network security to face the next 4G threats and security problems, concludes with IPv6 technical analysis and 4G network defense and countermeasures.
Research on Query Mechanism of Moving Object Database
Authors: Wang Chun Ping
Published: February 2014

Since the mobile radio communication in a wireless mobile environment, which inevitably subject to fading and interference effects of the various signals, multipath and time-domain signal to bring the mobile domain and frequency dispersion problems, bandwidth resources restricted and transmission delay increases and so on. In this paper, the use of Class R-Tree data structure to store the data on the basis of historical trajectory, the update query results by the beach line iterative way to solve the problem of nearest neighbor queries efficiently update existing intermediate results.
The Research of the Key Tech-Application Based on HBase for E-Government Cloud of Minority Areas
Authors: Xie Xiao Lan , Sun Zhao Xu , Xiong Zhuang
Published: February 2014

With the developing of the network and information, we get the new requirements to our minority areas` e-government affairs,and Hbase can fit the new age of mass date, solving the problem such huge accessing which is nightmare for traditional relational database, to do our best in solving the vital interests of people which related to the job, medical, social security, education, housing issues, and make our life better.
A New Hybrid Index Structure Based on R-Tree and Inverted File
Authors: Hou Bin
Published: February 2014

When mobile users are going to searching on the web, they would like the search engine provide the most relevant results not only with the search terms but also with their location. However, many of existing search engine only considered to the query terms relevance, as their index structure cannot support location relevance very well. Propose a new hybrid index structure that combines R-tree and inverted file. Experiments show it is faster and more accurate to furnish searching results to mobile user, and the results are considered of text relation and the location proximity.
The Application of Machine Learning to Study Malware Evolution
Authors: Bai Jin Rong , Mu Shi Guang , Zou Guo Zhong
Published: February 2014

Malware evolves for the same reasons that ordinary software evolves. Like any other software product, the standard genetic operators selection, crossover and mutation are applied to evolve new malware. Recognizing and modeling how these malware evolve and are related is an important problem in the area of malware analysis. Grouping individual malware samples into malware families is not a new idea, and content-based comparison approaches have been proposed. Content-based approaches are hard to identify the real behavior of malware and it is inherently susceptible to inaccuracies due to polymorphic and metamorphic techniques. In this paper, we leveraged dynamic analysis approach to classify malware variants. The results demonstrate that our technique is able to recognize and group malware programs that behave similarly, achieving a better precision than previous approaches. The major advantage of our approach is that it can precisely tracks the sensitive information of malware behavior and is immune to obfuscation attempts. Our research is conducive to study the problem of malware classification, malware naming, and the phylogeny of malware.
A Design of a Sci-Tech Information Retrieval Platform Based on Apache Solr and Web Mining
Authors: Chen Fu , Xu Cheng Jie , Zhu Quan Yin
Published: February 2014

In order to service the need of high-tech companies, allow companies get the sci-tech information more quickly and efficiently. The sci-tech information retrieval platform is proposed. The platform has four parts; the web spider, the Solr engine, the SQL Server 2008 database and the client. Each part deals a core issue, the mode make whole system more flexible, scalable and fault tolerant. The web spider collect sci-tech information from the Internet, the Solr engine takes charge of indexing documents gained by the web spider, the SQL Server database store all the users information and the configuration of the whole system, the client provides several REST-like APIs to modify the configurations and get the latest information in the platform.
A Simulation System of Wind Turbine Based on Labwindows
Authors: Hua Zhi Gang , Hu Guang Yu , Wu Zhi Gong , Zhai Yong Jie , Huo Yu Jia
Published: February 2014

Wind energy is the worlds fastest growing renewable energy source in recent years, and it has drawn worldwide attention. Due to high efficiency, simple topology and stable operation, variable speed constant frequency (VSCF) direct-drive wind power generation system using permanent magnet synchronous generator (PMSG) is the development trend and one of the focuses of wind power generation system research. The paper introduces the trend of the development wind power generation and the recently research stage on the wind power generation. Based on the VSCF power fundamental principle, the dissertation analyzes the strategy of wind turbine simulation. In the development of wind power generating system, the wind turbine emulator becomes more and more important because it can provide controllable wind turbine characteristics. Simplified mathematical model based on the CT-λ curve is constructed, the system structure and emulation method are analyzing. Hardware and software are designed and implemented, and a laboratory set-up is building which based on DC motor. Experimental results show that the wind turbine emulator is as good as expected.
Application of Fuzzy Predictive Control in Grain Drying Coal Burning Hot Air Furnace Temperature Control System
Authors: Tang Yao Wu , Liu Xiang
Published: February 2014

Grain drying with chain coalfired hot blast stove for temperature stable and economic operation.Boiler control objects with strong coupling, large delay, large inertia characteristics.Fuzzy control on object for low, fast response and predict advanced features. Design the fuzzy predictive controller for chain coalfired hot blast stove temperature control.The test results show that the fuzzy predictive control system is improved effectively the static precision and dynamic characteristic.Fuzzy predictive control for large delay system has better practicability.
Research on Soft Demodulation of Telemetry Signal Based on the Orthogonal Complex Baseband Rotating MSD
Authors: Fu Gang , Zhu Dong Xu , He Qian , Kou Ming Xin
Published: February 2014

For PCM/FM telemetry signal demodulation, compared to traditional demodulation method, multiple Symbol Detection technology (Multi - Symbol Detection, MSD) is an effective method for a lower demodulation threshold.[ For software MSD demodulation in the process of PCM/FM telemetry signal algorithm is too complex and cause a large computation takes longer problem, research based on baseband complex rotating orthogonal MSD soft PCM/FM signal demodulation method, this algorithm can greatly reduce the amount of calculation of MSD and performance with the ordinary MSD are basically identical. The simulation and test results verify the effectiveness of the proposed method.
Design of a Remote-Controlled Basketball-Playing Mobile Robot
Authors: Liu Fang , Shen Chang Qing , Liu Yong Bin , Kong Fan Rang
Published: February 2014

This paper depicts the system design of a basketball-playing robot named BPR. BPR is a wheeled mobile robot equipped with a 3-DOF manipulator and a mechanical claw. The robot can grasp one basketball and then dunk under the players remote control. In this paper, the hardware design including the mechanical structure and the electrical system are introduced firstly. Then, the kinematic analysis of the manipulator is proposed to decide the manipulators posture control. Finally, simulation of the manipulator is implemented in ADAMS to verify the design efficiency of posture planning. BPR has been exhibited in a science museum in China and it is well welcomed by the audiences.
Sinusoidal Path Planning for Attitude Maneuver of Flexible Spacecraft
Authors: Wu Xiao Wen , Zhao Lin , Hao Yong , Zhang Bo , Chen Shuai
Published: February 2014

Considering the complex of space environment, the influence of flexible attachments, the restraint of measurement and control precision, it makes difficult to control the attitude precisely. In order to improve the attitude maneuver's rapidity and its stability, this paper studied the attitude maneuver's path programming method of satellite with the flexible attachments. Through the establishment of the dynamic model of flexible satellites, and using multi-objective optimization algorithm to select the optimal parameter, an asymmetric sinusoidal maneuver path was planned. Simulation results show that the planned path could suppress flexible appendages vibration which brought by attitude changes, then the effectiveness of the planning algorithm is demonstrated.
Design and Implementation of Intelligent Control System for Infrared Shrink Film Machine
Authors: Zhao Jiang , Fei Wei Ke , Hao Chong Qing , Zhang Ying
Published: February 2014

In order to study the control problem of infrared heating shrinkage machine, i.e. Large delay,nonlinearity of the control system, one type of the basic organization and simulation principle of the hardw-in-the-loop simulation system are presented in the given paper, and the simulation model of infrared heating shrinkage machine is discussed. Aiming to solve the problem of traditional PID control algorithm is difficult to get ideal control effect, an adaptive PID control algorithm based on BP neural network is proposed. The object can be better online controlled and adjusted after the algorithm has been applied, meanwhile the requirement of accuracy and reliability will be improved, and quite a lot debugging time will be saved.The results show that the system basically satisfies the technical requirements and provides a good experimental platform.The study is provided with great significance for the realization of the semi-physical simulation system.
Research of Intelligent Mower Based on High Accuracy 3D Electronic Compass
Authors: Zheng Xin , Wang Xing Song , Mao Yu Liang
Published: February 2014

This paper introduces an intelligent mower with directional navigation features. This kind of mower uses electronic compass made by MEMS magnetoresistive sensor and three-axis acceleration sensor with high precision tilt compensation function. This paper also describes the advantages and applications of this kind of mower, as well as electronic compass measurement principle, system design and software algorithms, and electronic compass error analysis and elimination. This cost-effective system can be normally used in the field of intelligent mowers.
Application of UML for Embedded System Design
Authors: Pang Ling , Ji Song , Du Bin
Published: February 2014

The Unified Modelling Language (UML) is the most widely visible model modeling for Object-Oriented.In the after PC time,more and more domains need the support of the embedded system.Especially in the industrious control.The huge achievement which UML technology obtained in the software brings the hope to the development of embedded system.The article take the example of simple system the students choose classes elaborate series of work using the various standard mark begin demand analysis to the whole design of system. Taking UML as the general and pefect method into embedded systm ,will become the ugently considered and solved problem.
Image Vectorization Based on Mathematical Morphology in Geographic Information System
Authors: Dong Wei , Li Yong , Lu Chun , Zhao Bo
Published: February 2014

Because of the shortcomings of traditional linear vector methods, this paper proposed the image vectorization method based on mathematical morphology, including the morphological sequential homotypic skeleton abstraction method based on structure elements template and the vectorization method based on the dynamic change of pace about Freemans chain code. Experimental results show that: the method has certain feasibility and practicability.
Research on Construction of Kinect-Based Virtual Situation Laboratory
Authors: Liao Hong Jian , Long Xiao Li , Wang Li Ping
Published: February 2014

In order to solve the problems of expensive and non-universal dedicated virtual situational teaching laboratory equipments, this paper proposed to apply Kinect to establish low-cost and strongly-immersive virtual situational teaching system. Figure image matting is a key issue of Kinect-based virtual situational teaching system. So a fast and real-time matting algorithm is hereby put forward with use of Kinect depth map. It adopt improved region growth algorithm to obtain trimap, coupled with the use of a set of shared sample points with low computational complexity. Through weighted filtering, image matting regions are smoothed so as to obtain accurate matting results. Practices in classroom situational teaching for Business English prove this matting method is robust and stable, and almost unaffected by light and complex background. Kinect-based virtual situation and somatosensory interactive technology can better meet the needs of classroom teaching, which is a low-cost and strongly-immersive virtual situational teaching solution.
Study and Realization of Three-Dimensional Human Body Modeling
Authors: Hu Min
Published: February 2014

According to characteristic of garment mannequin, this paper puts forward the method of grid surface modeling for three-dimensional human body. Based on the analysis of fitting theory of B-spline curve and surface, it is presented that B-spline curve and surface is used for three-dimensional human modeling. The concrete processes of establishment of three-dimensional human body model are introduced. The results show that the three-dimensional human model which has been successfully achieved can satisfy the requirement of automatic measurement system.
Analysis on Nonlinear Buckling Failure Influence Factors of Telescopic Boom System Based on Arc-Length and FEM Method
Authors: Xu Ge Ning , Gao Guang Heng , Guo Zeng Cai
Published: February 2014

Telescopic jib is the key load-bearing component for both truck crane and all-terrain crane,seriously affect hoisting capacity of crane. Different stress feature or structural feature produce different affects on the hoisting capacity of telescopic jib. In order to study the mechanism and levels of different factors,multiple telescopic jib models with different factors are built based on nonlinear finite element method. Adopting Arc-length method to analysis structural nonlinear deformation in the whole course,the impact degree for hoisting performance of material yield strength, load eccentricity, lap length of telescopic jib and the support position of lifting hydraulic cylinder are acquired respectively. The results shows: A finite element method combined with arc-length method can be used to analysis the buckling problem of nonlinear deformation of telescopic jib. All the above four factors have affect on the hoisting performance of telescopic jib, but the levels are different. By analyzing change law of impact factors, corresponding measure are adopted in practical deign to reduce its impact and to strengthen the capacity of resisting local buckling of the telescopic jib.