bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis and Application of Information Security Evaluation Abilities Based on Power Control Systems
Authors: Li Ni Ge , Xu Min , Fan Jie , Gao Peng
Published: September 2014

With the widely application of power control systems and acceleration of the information modernization process of the power industry, the connection between power control system products and information security is closer and closer. This paper, through the analysis of the safety standard on power control systems, the combination with the existing power information system evaluation and the integration of the idea of full life cycle, research on the safe evaluation environment and the standards, processes and contents of evaluation technology in power control systems. It shows that to analysis and application of information security testing evaluation which is based on power control systems is meaningful and necessary.
A New Design of Ka-Band Circularly-Polarized Antenna
Authors: Fan Jiao Jiao , Li Jian , Song Dan , Wu Li , Peng Shu Sheng
Published: September 2014

A new ka-band circularly-polarized antenna is presented in this paper, in which a linearly-polarized wave is conversed into a circularly-polarized wave with a circular waveguide polarizer. After simulation and optimization with HFSS (High Frequency Structure Simulator), a compact circularly-polarized antenna is designed with a total height less than 25mm. More simple and easier structure is adopted to achieve a low-profile circularly-polarized antenna.
A Correction Algorithm of Multi-View Image System
Authors: Wang Xin Yang , Feng Huan Xia , Zhang Jian
Published: September 2014

This paper, based on the Retinex Color Constancy Theory, proposes a novel multi-view image correction algorithm, which correction effect is very effective. Histogram equalization,retinex processing and color restoration are performed for multi-view images,and extract reflectance which describe object intrinsic properties to eliminate un-consistent light source influence.The experimental results show that corrected images not only have high color contract,also have consistent color appearance with others.
A Fast Texture Recognition Technology Based on DFT
Authors: Juan Liu , Zheng Xin
Published: September 2014

We adopt a fast image texture recognition technology to identify whether an image for texture image, Then we extract the texture feature for image texture, and to extract the color features for Non-texture images, By classifying different types of image retrieval to improve retrieval efficiency. The experimental results show that, this method of the rapid texture recognition technology can greatly improve the accuracy of image retrieval, and it has a great effect in terms of speed.
Control Techniques of Class D Audio Power Amplifier
Authors: Zhang Yan Lei , Zhu Gao Feng , Wu Tie Bin
Published: September 2014

Although class D amplifier has the merits of high efficiency, a little heat and small Bulk, its distortion is larger than linear counterparts due to switching behaviour of power transistors. Its principle and several new pivotal control technologies were presented in this paper. In this way, efficiency of 90% can be achieved and the degree of the distortion can be less than 0.4%.
Robust and Efficient Solution to Absolute Orientation in Low-Altitude Photogrammetry
Authors: He Hai Qing , Cheng Peng Gen
Published: September 2014

Absolute orientation is a classic photogrammetric task for recovering the transformation relationship between two coordinate systems. In low-altitude photogrammetric field, arbitrary coordinate system in the network of aerial triangulation is spatial auxiliary coordinate system, which is quite different from ground photogrammetric coordinate. So the commonly used solution to absolute orientation with simplified parameters is unsuitable for low-altitude photogrammetry. In this paper, a novel solution of absolute orientation is proposed, the initial parameters of absolute orientation can be solved by the formula using centroids of coordinates instead of simplified parameters, then the parameters of absolute orientation are iteratively refined by Levenberg-Marquardt algorithm. Experimental results show that the solution is effective and practical. It may be suitable to implement absolute orientation in low-altitude photogrammetry.
Wave Equalization - A New Image Enhancement Method for Gray Image Binarization under Uneven Illumination
Authors: Wei Wei
Published: September 2014

The gray image can be viewed as a 3D terrain consisting of intensity waves. The Wave Equalization introduced in the paper is to weaken the influence of uneven illumination on the gray image binarization. The 2D wave is decomposed into several 1D waves corresponding to different directions for 1D equalization. Then PCA algorithm is used to compress all 1D results to the final image with uniform illumination. The extensive experiments in the paper had proved that our method has excellent performance and adaptability for various uneven illumination environments.
An Image Retrieval Method Based on Machine Learning and SVM
Authors: Xiong Hui Yun , Zhao Juan
Published: September 2014

Image recognition has been a research hotspot in the field of machine learning; this paper puts forward a kind of cascade algorithm based on SVM and AdaBoost. The algorithm to select the sample pretreatment, fixed size of window image segmentation into different areas, then using Haar - like rectangular figure characteristics of integral method for feature extraction, finally using AdaBoost cascade classifier to classify the SVM training. Through the face recognition experiments show AdaBoost cascade of SVM algorithm improve the classification accuracy, error rate get reduced obviously.
Color Image Enhancement on YIQ Color Space
Authors: Xiao Feng , Miao Shui Qing , Guo Li
Published: September 2014

The three components of the color images enhance the images directly in the RGB color space, will cause distortion of the image. So our paper will convert true color image from RGB space to YIQ space, the holomorphic filtering and histogram equalization are executed on Y component to make the image enhancement, the Y component contains a lot of image information; finally, the image is converted from YIQ color space to RGB color space once again. Experimental results show that the approach which were proposed in the paper, Combined with the method of holomorphic filtering and histogram equalization to overcome the uneven illumination, the image is dark and other shortcomings to achieve satisfactory enhancement.
The Design of Digital Image Display System Based on FPGA
Authors: Yang Chun Yan , Cui Chang Qing , Wang Qian
Published: September 2014

With the development of computer, multimedia and integrated circuit technology, more and more information are digital, so that the storage and processing including images, sounds and words, etc. After processing the information, of course, it eventually to be represented in the form of people can accept. FPGA has the characteristics of the device, occupies an important position in the information processing system, this paper expounds how to complete image acquisition processing system functions in the FPGA.
Design of a Pipeline Leak Detection System
Authors: Wang Qi , Hong Kai Xing , Chen Xiang Xian , Huang Hai
Published: September 2014

This paper develops a pipeline leak detection software based on the vibration analysis method. It introduces the hardware designs, experimental methods and the based theory, experimental methods, and the leak detection algorithm. The system uses the generalized cross-correlation (GCC) algorithm to analyze those signals including vibration, temperature, flow and pressure. Then the system takes use of matlab to analyze those signals to choose the best weighted methods. At last, the software uses LabVIEW to generate the fronted user interface. Key words: Leak detection; Generalized Cross-correlation; Vibration analysis; LabVIEW
Dam Safety Monitoring Model Based on Neural Network and Time Series
Authors: Feng Long Long , Li Xing
Published: September 2014

The deformation monitoring data of the dam has the typical characters of instability and nonlinearity after being completed and impounding water. To solve the problems, this paper introduces the time series model and BP neural network model to analysis the dam monitoring data. Firstly, time series model was applied to fit and predict and then used the BP neural network model to correct the nonlinear part of residuals. Finally, we can get a series of fitting and predictive value of the monitoring data by combining of above both models. Taking the certain radial displacement value of a measuring point of a certain dam as an example, ARIMA-BP model was established to analyze the data. The result shows: fitting and predictive accuracy of ARIMA-BP model is relatively high and closed to the measured value.
Intelligent Diagnosis in Hydraulic Impact Fault by Combined Improved EEMD with SVM
Authors: Zhang Mei Jun , Cai Kai Jun , Tang Jian , Huang Jie , Chai Kai
Published: September 2014

Aims at the difficult to measure and influence serious in hydraulic impact fault, the intelligent diagnosis of hydraulic impact fault is proposed with improved EEMD and SVM in this paper. Three states of normal and sudden stop and suddenly reversing shock are set up on the hydraulic experimental bench. The improve EEMD is proposed by EEMD noise reduction, SVM extension signal, cubic spline interpolation improvement, and related pseudo components eliminating. The intelligent fault diagnosis in hydraulic system is researched by the improve EEMD to extract the IMF energy as feature vector, and the SVM training classification. Because distinguish and clear between normal state samples with the two impact fault samples, classification results are very right under a linear, polynomial kernel function, or a RBF, sigmoid and precomputed kernel function.
Minimizing Total Flow Time in a Flow Shop with Blocking Using a Hybrid Variable Neighborhood Search and Simulated Annealing Algorithm
Authors: Xie Zhan Peng , Zhang Chao Yong , Shao Xin Yu , Yin Yong
Published: September 2014

In this paper, a hybrid methodology that incorporates a simulated annealing (SA) approach into the framework of variable neighborhood search (VNS) is proposed to solve the blocking flow shop scheduling problem with the total flow time minimization. The proposed hybrid algorithm adopts SA as the local search method in the third stage of VNS, and uses a perturbation mechanism consisting of three neighborhood operators in VNS to diversify the search. To enhance the intensification search, best-insert operator is adopted to generate the neighbors in SA. To evaluate the performance of the proposed hybrid algorithm, computational experiments and comparisons were conducted on the well-known Taillard’s benchmark problems. The computational results and comparisons validate the effectiveness of the proposed algorithm.
A Method for Substation Equipment Temperatue Prediction
Authors: Zhao Qian , Li Yong Qian , Li Tian
Published: September 2014

The temperature change of the power transmission line and substation equipment can reflect their potential safety hazard caused by their aging and overload. Based on the nonlinear analysis of forecasting substation equipment temperature data can realize effectively early warning of equipment failure and avoid huge losses caused by the accident. This paper puts forward a method for temperature forecasting, based on the chaotic time series and BP neural network. It collects data from wireless temperature sensors to establish a time series of substation equipments’ temperature. Software simulation results showed that the prediction method has higher prediction accuracy than that of the traditional method.
Fly Ash Autoclaved Aerated Concrete Field Detection Analysis of Heat Transfer Coefficient of Self Thermal Insulation Building Envelope
Authors: Bai Li , Niu Meng , Li Ying
Published: September 2014

This paper mainly analyzes the principle and application conditions of temperature controlled tank-heat flow meter method in field testing the heat transfer coefficient. And according to the actual engineering examples, using temperature controlled tank-heat flow meter method to test the heat transfer coefficient of fly ash autoclaved aerated concrete building envelope. Analyzing and studying the testing data, design value and theoretical calculating value.
Stability Assessment of Minor-Caliber Vessel Perfusion System for Ex Vivo
Authors: Liu Yan Qiu , Huang Nan
Published: September 2014

Biggish animal models were applied in perfusion system for ex vivo research. But the disadvantages is the needs for more research funding and better surgical skills to perform which many researchers lack. A minor-caliber vessel perfusion system for ex vivo was designed and constructed to simulate pulsatile situation in vivo. The parameters mimicked the physiological measures of New Zealand rabbit. Pulse is 250 beats per minute. Diastolic blood pressure is 12.666KPa, and systolic blood pressure is 14.665KPa. The vessel perfusion system can regulate pulse pressure, the state of laminar flow, and shear stress. To culture several vessels simultaneously for control, the pressures data of 4 baths was analyzed with one way analysis of variance. The results show that the perfusion system is stable, and pressure difference of 4 baths is not significant.
Visual C++ Call MATLAB Multi-Scale Edge Detection
Authors: Wu Yue , Shi Yu Tao
Published: September 2014

This article describes the Visual C++ call MATLAB engine detailed steps to achieve the VC-based interface to call MATLAB field geological position of multi-scale edge detection algorithm. The results show that, the development cycle of program and the workload is reduced, but also has a good Visual C++design of MATLAB user interface and convenient calculation and drawing ability. The program for the development of geophysical analysis software provides an effective way of high reliability, low development cycle.
Design and Implementation of Service-Oriented Information Acquisition System of Smart Meter
Authors: Zhang Di , Jing Shao Hong , Ma Qi Long
Published: September 2014

Currently, in terms of smart meter information acquisition system, there exists problems such as high cost of development, difficulty in system maintenance and poor integration ability. To solve the integration problems, a service-oriented smart meter information acquisition system is proposed in this paper with the usage of service oriented architecture. In the concrete implementation, problems of processing brought by multiple protocols are worked out by adopting the object-oriented method. Meanwhile, in order to deal with the blocking of client process during the smart meter reading procedure, WCF technology, as a solution, is put forward.
Stress Analysis on a Connecting Rod Big End Bearing of Two-Stroke Marine Diesel Engine
Authors: Yu Gong Zhi , Yu Hong Liang , Duan Shu Lin
Published: September 2014

In this paper, the multi-body dynamics software EXCITE was used to simulate the connecting rod big end bearing of two-stroke marine diesel engine. The result showed the stress analysis of connecting rod big end bearing. The purpose is to provide a theoretical basis for the actual conditions of connecting rod big end bearing, and to improve the design of the crankshaft structure.
A Combined Location Method for Mobile Robots Based on Dead Reckoning and WLAN
Authors: Jia Fang , Liu Kui , Xu De Cheng
Published: September 2014

To minimize the deficiency of the existing indoor location methods for mobile robots, the RSSI (received signal strength indication) model of WLAN is established. Then a combined location method for mobile robots based on DR (dead reckoning) and WLAN is proposed, which employs PMLA (probability matching location algorithm) and KF (Kalman filter) for information fusion. Simulation results reveal that the combined location approach works well in eliminating the cumulative error of DR and reducing the fluctuation of WLAN location. As a result, the proposed method is capable of enhancing the positioning accuracy of mobile robots to a certain extent, promising a low-cost and reliable location scheme for its development.
Design and Realization of Control System for New Nuclear Fuel Elevator System
Authors: Fang Yu
Published: September 2014

As one of the key equipment for handling nuclear assembly in nuclear power station, the Nuclear Fuel Elevator (NFE) is mainly used to handle the new assembly and examine the spent assembly. Considering the safety and reliability for the high radioactivity environment, the control system with two levels of hardware controllers and module hierarchical software architecture is proposed. The HMI which is convenient and user-friendly is also developed for operator. The load protection and dynamic PID-control is mentioned in detail.
Stability Analysis and Related Control Research of Nonlinear and Uncertain Stochastic Systems with Time-Delay
Authors: Wang Cheng
Published: September 2014

Stochastic system widely exists in natural science, engineering and social system, and the study of stochastic system has become one of important research contents for engineering researchers. Aiming at a kind of stochastic system, i.e., nonlinear and uncertain stochastic systems, we present many widespread theoretical and applied problems in this paper, and summarize and review the main conclusions and ideas of literature related to nonlinear and uncertain stochastic systems. Further, we give some new research topics and directions. We try to provide new methods for the control study of nonlinear and uncertain stochastic systems.
A Method of Building Correlation Relationships to Thesauri Based on Improved Mutual Information
Authors: Liu Yi Tong , Li Li
Published: September 2014

An improved mutual information method is approached to build correlation relationships to thesauri through analysis and comparison of the problems among artificial means, co-occurrence frequency methods and mutual information method. The experimental results show that the proposed method is more objective and feasible than traditional method and it is more useful for subsequent identification.
Feedback Controlled Adaptive Bandwidth Server Scheduling and its Application in NCS
Authors: Bi Jing Cun , Li Qi , Yang Wei Jun , Liu Yan Fei
Published: September 2014

As for the aperiodic tasks of node in network control systems, the FC-ABS (Feedback Controlled Adaptive Bandwidth Server) scheduling algorithm is designed. The different scheduling methods are used according to time characteristics of aperiodic tasks, and feedback scheduling is used to mitigate the effect of aperiodic tasks on periodic tasks. The simulation results show that the method is effective.
Keyword: Network Control Systems; Server Scheduling; Feedback Scheduling; FC-ABS.
Dynamics Modeling of the Drive Mechanism for Flapping-Wing Micro Rotor
Authors: Lu Jing , Hu Ying Jun , Hang Yan Fang
Published: September 2014

To represent the physical characteristics of the micro flapping wing rotor and to further control it, a dynamic model of the electromagnetic mechanism is necessary to be built. Lagrange’s equation method is used to model and analyze the relationship of input and output system parameters. Analysis shows the flapping frequency is the more critical one to decide the efficiency of the rotation of mechanism. Finally, simulation and test verify the mathematical model of its dynamics phenomena for future application.
Optimization of Stretch Forming Process and Springback for Aircraft Panel
Authors: Ali Ammar Hamza Abobakr O. , Li Xiao Xing
Published: September 2014

The target of this paper is to simulate the stretching process of sheet aluminum profile using ABAQUS/CAE software. Stretching investigations were conducted using the finite element method. The main contents of research work include simulation software, which give in details the stretching steps followed to obtain an optimization springback .This paper focus on the influence of stretching force and angles on springback of aircraft panel.
Energy Absorption Device with Pendulum of Automobile Seats Head Restraints
Authors: Jiang Tao , Zhang Gui Lin , Li Hui Min , Li Min
Published: September 2014

According to the key parameters of automobile seats’ pendulum machine, a calculating method considering the anti-collision is proposed. Then the mathematical modeling of the pendulum system with actual working condition is established based on rigid body dynamical theories. With the momentum law and collision theory, a equation describes what condition for the center of collision and the point of impact to coincidence is derived. For system optimization, the minimal pendulum weight is taken as the objective function, multiple parameters as design variables, the pendulums’ optimum parameters are calculated by using mixed penalty function method.
Modeling and Simulation of the Random Ocean Wave Based on Spectrum Analysis
Authors: Sang De Yi , Zhao Jian Jun , Wang Yi
Published: September 2014

The carrier generates complex movement on the sea subjected to wave interference. The motion of carrier will affect the measurement precision of the shipboard radar. In order to reduce the influence of carrier motion on the accuracy of radar need to establish a model of ocean wave and then establish the motion model of carrier and analysis carrier motion rule of influence on the accuracy of radar. The stationary random ocean wave model also has an important significance in the prediction of the wave, ship dynamic positioning.
Short-Term Gas Load Forecasting Based on Wavelet BP Neural Network Optimized by Genetic Algorithm
Authors: Yu Feng , Wang Zhi Qing , Xu Xiao Zhong
Published: September 2014

Aiming at the limitations of a single neural network for effective gas load forecasting, a combinational model based on wavelet BP neural network optimized by genetic algorithm is proposed. The problems that traditional BP algorithm converges slowly and easily falls into local minimum are overcame. The wavelet neural network strengthens the function approximation capacity of the network by combining the well time-frequency local feature of wavelet transform with the self-learning ability of neural network. And optimized by the real coded genetic algorithm, the network converges more quick than non-optimized one. This proposed model is applied to daily gas load forecasting for Shanghai and the simulation results indicate that this algorithm has excellent prediction effect.
A Construction Method of LDPC Codes for Space Optical Communications Based on Protograph
Authors: Zhang Qian Hua , Zhang Jian Wu
Published: September 2014

In order to meet the requirements of low bit error-rate of the channel code in the space optical communication system, a construction method of low density parity check ( LDPC) codes with excellent performance is proposed based on protograph and quasi-cyclic expansion. It can be applied in high-speed encoding and decoding with efficient quasi-cyclic expansion. According to the proposed method, a LDPC ( 8832, 1472) suitable for the space optical communication system is constructed, in which the LDPC codes of the protograph perform very well. Simulation shows that the LDPC codes have superior error-correction performance and show no sign of error floor when the BER is in the order of 10-9, which are suitable for the long-distance space optical communication systems.
A Polarization Stabilization Control System Based on DSP
Authors: Hou Qing Xiang , Yuan Xue Guang , Zhang Yan Gan , Zhang Jin Nan
Published: September 2014

A polarization stabilization control system based on digital signal processor (DSP) is proposed in this paper. The system uses low frequency radio frequency (RF) power as control signal for polarization stabilization, and it does not need high-speed circuit to track fast polarization change. Modified particle swarm optimization algorithm is utilized and the effectiveness of polarization stabilization control is experimentally verified.
Analysis of WCDMA Packet Scheduling Strategy
Authors: Wang Mei , Zheng Li Juan
Published: September 2014

The basic characteristics for the WCDMA system, several typical scheduling algorithms are analyzed, and focused on the proportional fair algorithm, in order to maintain good performance of proportional fair algorithm in terms of throughput and fairness,and make it better adapt to the multi-service environment, this paper proposed a QoS-based proportional fair algorithm, using OPNET network simulation software to build a WCDMA network, respectively in different business environments to verify and compare the algorithm performance.The results show that under the multi-service environment, the performance of QoS-based proportional fair algorithm is better than the basic proportional fair algorithm in terms of throughput and average latency.
Blind Recognition of Recursive System Convolutional Codes
Authors: Liu Jie , Zhang Li Min , Zhong Zhao Gen
Published: September 2014

Recursive system convolutional codes (RSC codes) are the commonly used coding form for Turbo sub-encoders. For blind recognition problem of RSC codes, a novel method is proposed to recognize code parameters and generator polynomials. Firstly, code parameters are estimated by analyzing matrix constructed from the received codeword. Then, the mathematical model for recognition of generator polynomials is derived according to RSC codes’ characteristics, and the specific implementation steps are introduced. Finally, simulation results from Matlab show that the performance of the method is obviously more excellent than other methods, which indicates great significance to further research on Turbo codes.
The Application Research on the TD-LTE Technology in Military
Authors: Dai Jian Mei , Geng Hua Fang , Liu Zuo Xue
Published: September 2014

TD-LTE technology can be introduced to improve the performance of military wireless communication system greatly for its better capability of broadband transmission while existing military wireless communication network cannot meet with the increase and further requirements of military task types. The technical characteristics and advantages of TD-LTE are analyzed, the problem of security, anti-jamming and mobility which are to be solved if TD-LTE technology applied in military are mainly studied, and the technical solutions are given.
Research of Distribution Network Communication Based on P1901
Authors: Zang Li Wei , Mao Jie , Gao Qiang
Published: September 2014

Medium voltage broadband power line communication is the key component of distribution automation communication. In this paper, medium voltage broadband buried cable communication system was studied. The buried cable communication channel model was established; Reference to the IEEE P1901 standard requirements, the broadband power line communication system based on OFDM was simulated; the transmission rate was tested with the experimental system. The simulation results and actual tests show that the broadband buried cable communication system has good performance and high transmission rate which can meet the requirements of distribution network automation.
An Improved SNR-Based Cooperative Spectrum Sensing in Cognitive Radio Networks
Authors: Guo Jie , Gu Yan , Jing Da Hai
Published: September 2014

Spectrum sensing is a new technology in cognitive radio network, whose main purpose is to design an optimal detector. This paper studies a soft linear cooperative spectrum sensing method. We propose a SNR-based algorithm for weight setting at fusion center to improve the detector performance. Simulation results shows that the SNR-based method has better detector performance than the others.
Communication System Architecture for Hierarchical Virtual Power Plant Control
Authors: Sun Zhong Wei
Published: September 2014

Virtual Power Plant (VPP) is recognized as essential for the successful implementation of smart grids, and information communication technology is enabling technology for VPP implementation. However, finding the most appropriate technology that can satisfy their future communication needs is still an unsolving issue for VPP. Focusing on the hierarchial VPP control model, and utilizing Ethernet Passive Optical Network (EPON) network technology, this paper has presented an EPON-based communication architecture for virtual power plant.
Communication Cost Optimized Session Key Transmission Scheme for WSN Based on Non-Perfect Secret Sharing
Authors: Lan Zong Xiao , Xia Ge Ming , Zhou Ao Long
Published: September 2014

With the extensively applying of Wireless Sensor Networks (WSN), its' security drew more and more attention. In all the security issues in WSN, session key is fundamental one with great challenge. Due to the constraints of limited hardware resources and computational capabilities, use asymmetric encryption mechanisms in session key are not suitable for WSN. And there are usually a puzzle for existing symmetric encryption mechanisms that they produced heavy communication cost. In this paper, we presented a session key transmission scheme based on an algorithm of Data Partitioning with Coding, named DPC. By using of non-perfect secret sharing, we optimized the communication costs significantly and keep the security in high level. The analysis and simulations prove that our scheme has good performance.
Design of Intelligent Management System for Open Labs Based on Wireless Transmission
Authors: Wang Jing Xia
Published: September 2014

This paper describes the design ideas of intelligent management system for open labs based on wireless transmission. The student legal identity authentication is completed using IC cards and the equipments power supply is controlled using wireless digital transceiver chip nRF401.The system hardware is simple, no complex wiring, easy to use. It can be used in any laboratory of electronic equipment, has the very good practicability and wide application prospects.
A Well Modularized Computer Network Architecture
Authors: Wang Yan , Zheng Jun Hui
Published: September 2014

By analyzing a variety of computer network architectures, we can find that researchers establish different computer network models from their different starting points and get different computer network architectures by different modularization methods. We establish a well modularized non-layered computer network architecture. This paper compares it with the layered architecture and obtains a conclusion that it is superior to the layered architecture. We have developed two framework prototypes of it. In the one of them we develop some application softwares of TCP/IP, including E-mail, FTP, Web and standard IP telephone, which have been tested by the third-party. It could show the accuracy and easily implemented property of this architecture.
Broadband Self-Organizing Network Channel Allocation
Authors: Zhu Feng Xia , Zhang Zai Yu , Wu Ma Jia
Published: September 2014

This paper discussed the current variety of effective multi-channel self-organizing network channel allocation techniques and proposed a combination of two access methods CSMA and TDMA. By using broadband wireless self-organizing network channel and OPNET simulation tools,the methods can build self-organizing network simulation scenarios that proposed network protocols performance analysis. This self-organizing network channel allocation can effectively transmit information and avoid the conflict of different communication node distribution of the corresponding channel.
Detecting Application-Layer Attacks Based on Hidden Semi-Markov Models
Authors: Xie Bai Lin , Zhang Qian Sheng
Published: September 2014

This paper presents an application-layer attack detection method based on hidden semi-markov models. In this method, the keywords of an application-layer protocol and their inter-arrival times are used as the observations, a hidden semi-markov model is used to describe the application-layer behaviors of a normal user who is using some application-layer protocol. This method is also based anomaly detection. In theory, application-layer anomaly detection can identify the known, unknown and novel attacks happened on application-layer. The experimental results show that this method can identify several application-layer attacks, and has high detection accuracy and low false positive ratio.
Improve Testing and Pre-Evaluating Expert System by Computer Networks and Security
Authors: Peng Jian Xin , Zhou Yuan Jian
Published: September 2014

manufacturing e-commerce systems are considered as the backbone of the manufacturing industry in China, Vulnerabilities in web applications continue to be the most frequently discovered security problem. This article illustrates a trusted operating systems how to provide a flexible solution to the problem of application for e-commerce. Then analyzes the manufacturing actualities of small and medium-scale corporations and puts forward the industrial product quality long-distance testing and pre-evaluating expert system based on network.
Predictive Algorithm of Network Delay Based on Robust Kalman Filter
Authors: He Fang , Zhang Hui , Li Bing Bing
Published: September 2014

Due to irregular information flow for NCS (Networked Control System), network delay has performance of random and variability. It reduces system stability, network performance and control performance. This paper focuses on research of predictive algorithm of network delay. Network delay data is obtained in PROFIBUS-DP. Based on network delay data, the ARMA (Auto-Regressive and Moving Average) model of delay is set up. The parameter estimation algorithm of Robust Kalman is used to estimate parameters of proposed ARMA model of network delay. A simulation example is given and verifies efficiency of predictive algorithm proposed.
The Analysis of the Load Rate Influence Factors Based on the Grey Correlation
Authors: Wang Xue jun , Zhang Ji Xiang , Zhang Zhen Gao , Liu Ming Zhi
Published: September 2014

With the rapid development of power industry, the load rate which describes the power characteristics is playing a more and more important role, this paper uses the grey correlation analysis to find the relationship between the load rate and the influence factors based on the historical data of the load rate influence factors and analyzes the weight of each influence factor quantitatively through the grey correlation coefficient so as to reflect the influence degree of different factors on load rate, meanwhile, through the analysis of various influencing factors of load rate, this paper hopes to clarify its effects on the load rate which includes strength, size and the order and help the power grid enterprise choose the key factors influencing the load rate which provide a basis for the future to improve the load rate.
Research and Implementation of Intrusion Detection Based Genetic Algorithm
Authors: Cui Guang Cai , Liu Bai Tong
Published: September 2014

For traditional intrusion detection technology, the lack of intelligent and self-adaptive has become increasingly prominent when they cope with unknown attacks. A method based on genetic algorithm was presented for discovering and learning the intrusion detection rules. This algorithm uses the network data packet as an original data source, after pretreatment, initialized them to be the initial population of the genetic algorithm, then derive the classification rules. These rules were used to detect or classify network intrusions in a real-time network environment, selecting the intrusion packets. The experiment proves the efficiency of the presented method.
The Research of Resource Scheduling Model in Green Energy-Saving Computer Rooms
Authors: Dong Hui Liang , Jiang Xue Feng , Du Xuan
Published: September 2014

With the rapid development of information technology, there are more and more computer rooms with power consumption. In this paper, we study the main problem that the present status of high energy consumption in data centers, we put forward the room resource dynamic scheduling problem. According to the approximate dynamic programming ideas of modeling room resource dynamic scheduling model is established, to solve the problem of heuristic rules. To meet the demand of the outside world, it reduces the condition of lower energy consumption, making for a period of time to achieve maximum room revenue.
Interference Analysis of LTE Network and RF Optimization
Authors: Li Ting
Published: September 2014

The reasons interfering LTE network are analyzed. Combining with the actual data of existing commercial LTE network, RF optimization scheme of LTE network to suppress the interference is promoted. According to the data released by road test, the proposed RF optimization scheme can improve the network coverage and network performance, and can play a reference role to other similar cases.
Seasonal Epidemics Immunization on Correlated Networks
Authors: Yan Shu , Tang Shao Ting , Pei Sen , Zheng Zhi Ming
Published: September 2014

The immunization strategy to halt virus is an important topic in epidemic spreading research. In this paper, we extend our seasonal epidemics immunization model on correlated networks. We apply numerical results of our model on different kinds of networks. We first investigate the relationship between epidemic prevalence and epidemic season. We find that the immunization performs best on negative correlated network, and give an explanation. We also present the result of epidemic prevalence with different vaccinating proportion and epidemic spreading probability.
The Network Management System of WSS-Styled ROADMs Based on Openflow
Authors: Wu Ying Na , Yuan Xue Guang , Zhang Yang An , Mu Hong Yang
Published: September 2014

This paper presents the design and implementation of an Openflow-based Network Management System. The system consists of GUI, Floodlight Controller and Agent (s), and it enables monitoring, control and management of ROADMs. WSS and OPM are two main modules of a ROADM system. They are connected with an Agent through Protocol of Serial Port, while GUI communicates with Floodlight Controller by Socket Protocol.
The Research of Distributed Computer Network Technology Based on Web
Authors: Wang Qian , Yang Chun Yan , Cui Chang Qing
Published: September 2014

With the rapid development of network technology, network scale, the increasing complexity, traditional centralized network data collecting the methods already cannot adapt to this situation, a web-based distributed computing structure because of its many advantages are widely used. This paper proposes a construct Web application framework of distributed application system, combination of Web technology and the SNMP network management technology. Thereby, it can maintain the increasingly huge network system, ensure that all the good operation of the network resources, the management of the convenient and easy to use network resources.
A Novel Identification Method of Two Phase Flow Based on ERT Measurements
Authors: Zhang Yan Jun
Published: September 2014

Two-phase flow measurement plays an increasingly important role in the real-time, on-line control of industrial processes including fault detection and system malfunction. Many experimental and theoretical researches have done in the field of tomography image reconstruction. However, the reconstruction process cost quite long time so that there are number of challenges in the real applications. An alternative approach to monitor two-phase flow inside a pipe/vessel is to take advantage of identification of flow regimes. This paper proposes a new identification approach for common two phase flow using LDA feature extraction and Support Vector Machine based on Electrical Tomography measurement. Simulation was carried out for typical flow regimes using the approach. The results show its feasibility, and the results indicate that this method is fast in speed and can identify these flow regimes correctly.
Study on Stator-Flux Oriented Vector Control System of Doubly-Fed Machines
Authors: Yang Xue Guang , Shi Hua Jie , Zhang Lei
Published: September 2014

Based on the stator-flux-oriented vector control method, this paper presents the mathematic model and control strategy of the doubly-fed machines. The system is simulated, and the simulation results verify the correctness of the mode1.
A Differential Configuration of Split Drag-Rudders with Variable Bias for Directional Control of Flying-Wing
Authors: Rajput Jahanzeb , Zhang Wei Guo , Qu Xiao Bo
Published: September 2014

The directional stability and control is crucial for the low-speed flight of a flying-wing aircraft. The split drag-rudders are well known devices used to provide directional stability and control in a flying-wing aircraft. As opposed to conventional rudders, the control efficiency of split drag-rudders is typically low for small deflection-angles and the influence on yawing moment is nonlinear. Such characteristics limit the control capability of split drag-rudders at low speed flight with large angle-of-attack. In this paper, a simple method is presented to improve the control efficiency of split drag-rudders at low speed flight with large angle-of-attack. The method is based on a strictly differential configuration of split drag-rudders which operates around a certain variable bias. The bias can be varied according to different flight conditions in order to achieve desired performance. The CFD simulation results are presented in support of this concept. Results also show that the proposed configuration has linearizing effects on yawing moment vs. deflection curves, which may prove helpful in control system design process. The possible control reversal in yaw at large angle of attack can also be avoided with this method.
Dry Ice Blasting as a Pre-Treatment Process for Electroplating
Authors: Baira El Mustapha , Kretzschmar Michael , Hollan Robert , Heitmüller Florian , Uhlmann Eckart
Published: September 2014

In this paper the technological fundamentals of dry ice blasting as a pre-treatment process for the electroplating of plastics are presented. The advantages compared to conventional pre-treatment are discussed. In a series of experiments the influence of the setting parameters of the surface area roughness and surface tension of the workpiece was investigated. Furthermore, the surface parameters, which influence the adhesion strength of the electro-coating process, were identified. Finally, a model in order was developed, to describe the correlation between the dry ice blasting setting parameters and the surface parameters was created.
Investigations on Cryogenic Turning to Achieve Surface Hardening of Metastable Austenitic Steel AISI 347
Authors: Mayer Patrick , Kirsch Benjamin , Aurich Jan C.
Published: September 2014

Metastable austenitic steels offer the opportunity of a surface hardening during machining due to a deformation induced martensite formation, substituting downstream hardening-processes. To maintain the necessary low process and workpiece temperatures for a phase transformation from austenite to martensite, cryogenic cooling using CO2-snow was examined in this study. The influence of workpiece diameter, coolant flow rate as well as pre-cooling and pre-surface hardening on the obtainable phase content of martensite in the surface layer was investigated.
Modelling of Tool Engagement and FEM-Simulation of Chip Formation for Drilling Processes
Authors: Tiffe Marcel , Biermann Dirk
Published: September 2014

Drilling is the most used machining operation in modern manufacturing. Consequently, a high efficiency is desired which can achieved by proper tool geometries and process conditions. The claim for a high degree of process understanding is met by the attempt to visualize the chip formation on a micro scale, e.g. by the use of the finite element method. While two-dimensional FE-simulations of cutting processes are established 3D is the next step to take for further analysis of the drilling processes. Nevertheless, this puts high challenges to the simulative approach in order to achieve valid results. This paper deals with the modelling and the simulation of drilling operations with respect to tool and workpiece geometry. In order to create an acceptable starting condition it is useful to consider the engagement situation of the tool and the workpiece as an ideal state with a defined uncut chip thickness in front of the cutting edge. This provides shorter calculation times due to earlier steady-state chip formation compared to simulations with workpieces which are modeled with uniform surfaces like planes or cones in the initial state. Therefore, the engagement situation is created by the utilization of a geometric-kinematical modelling technique in which an array of rays and their intersections with a triangular mesh constitute a discrete description of a surface. The obtained set of points is further used for triangulation to generate the workpiece geometry mesh. Finally, finite element simulations of the drilling processes are carried out and are analyzed with respect to drilling torque and feed force.
Adjusting of Roller Levellers by Finite Element Simulations Including a Closed-Loop Control
Authors: Grüber Markus , Oligschläger Marius , Hirt Gerhard
Published: September 2014

Within today’s sheet processing lines, roller levellers are included in the production chain to eliminate initial curvature and reduce internal stresses of the sheet material. Despite the desire to achieve fully automated industrial processes, roller levellers still have to be set manually by an operator based on his experience and empirical data. Therefore, this paper evaluates an enhanced numerical approach to predict the vertical roll position, the so called roll intermesh, in the last load triangle. To gain the respective machine setting, a closed-loop control based on an actual curvature measurement is implemented in the finite element (FE) programme Abaqus utilising a user-subroutine. Thus, the presented FE model allows the adjustment of the roller leveller leading to a flat strip in a single simulation run within the accuracy of the FE prediction. Additionally, the FE model provides the chance to develop and test closed-loop controls for roller levelling. Complementing the results gained from the FE model, experiments have been conducted on a down-sized roller leveller with aluminium sheets (AA5005). First results obtained with the presented numerical model proved that the roll intermesh of the last load triangle was determined successfully and the use of an actual curvature measurement within the FE model provides enhanced accuracy.
Effect of Surface Enlargement and of Viscosity of Lubricants on Friction Behaviour of Advanced High Strength Steel Material during Deep Drawing
Authors: Singer Markus , Liewald Mathias
Published: September 2014

Increasing demands on vehicle safety and weight reduction in the automotive industry lead to an increased use of “advanced high strength steels” for car body manufacturing purposes. Mentioned material grades are having high levels of tensile strength and are often used in conventional sheet metal forming processes. One of the most significant factors on quality of stamped components as well as its manufacturing process robustness is the friction between tool and sheet material. During the deep drawing process, superposition of tensile stresses is causing enlargement of the sheet surface by a few percent. This effect can damage the zinc layer. Due to that fact, lubricant has to keep tool and work piece separated in order to prevent adhesion and abrasion. For that very reason, sufficient amount of lubricant has to be applied onto the surface texture reservoirs. Furthermore, the viscosity of lubricant is mainly influencing its ability of wetting the surface. The aim of this study is to define the relationship between friction coefficient, surface enlargement and lubrication having different viscosities. In this investigation the same amount of lubricant with viscosity of ϑ=65 mm2/s, ϑ=200 mm2/s and ϑ=400 mm2/s was applied on strips made out of DP1000 and DC04 steel. Then, the strips were stretched uniaxially, and restraining forces were measured by strip draw test considering constant surface pressure and drawing speed. In this paper, the correlation between friction coefficient, viscosity and surface enlargement for two different sheet material grades is shown.