bluuebunny/crossref_metadata_2025 huggingface dataset:
Based on the Basis Module Library Reuse of Oil Field Simulation Training System Development Research and Application
Authors: Liang Ji Sheng , Li Tian , Li Bo , Wang Hui
Published: August 2013

Oilfield construction simulation training can provide the trainees a interactive training which is realistic, safe and standardized, and it is an important aspect to build the digital oilfield. It is still an essential hotspot to reduce development costs and improve development efficiency today. This paper summarizes the development method to reuse the oilfield simulation basic module library based on component reuse ideas, through the development of a number of oilfield construction simulation training system. Use the Layered architecture and the atomic model principle to design and realize the basic model library which is for oilfields construction simulation training system, three-dimensional figure the basis of action library, basic script library, basic plug-in library, the underlying database, through on-demand dynamic call basis library file portfolio development system, thereby enhancing the efficiency of the system development.
Research of Battlefield Environment Virtual Simulation
Authors: Wu He Nan , Liu Ying , Yang Guang , Li De Jun
Published: August 2013

It is based on DEM for battlefield environment viewport realization, the article mainly explains how the system was realized based on quadtree algorithm, and system framework was constructed under windows manipulation system and C++ setting, the result indicates the experiment is feasible.
Optimized Algorithm for Mining Maximum Frequent Itemsets on Association Rule
Authors: Liu Nai Li , Ma Lei
Published: August 2013

Aiming at the weakness of traditional Apriori algorithm, this paper presents MFI algorithm for mining maximum frequent itemsets on association rules. MFI algorithm scans database only once, the algorithm need not produce candidate itemsets, MFI algorithm does not use the method of iteration for each layer, MFI algorithm adopts binary bit and logic operation.The efficiency is distinctly improved in mining maximum frequent itemset.
Digital Image Zero-Watermarking Algorithm Based on Improved Wavelet Moment
Authors: Zhang Zheng Bao , Jia Chao
Published: August 2013

Lots of anti-RST attacks watermarking algorithms have been proposed, but few solutions for local geometric attacks, in this paper it proposed a new algorithm combined with the the Wavelet Moment for an anti-geometric attacks. Since wavelet moment was proposed, it is widely used in the field of computer vision, image processing, but the large amount of computation must be improved to be applied to digital watermarking technology so that it can adapt to the real-time detection of digital watermarking. By image rotation, scaling, translation, shear, local distortions, filtering attack operations and so on, these attacks can be seen that the algorithm has good robustness, and the efficiency of watermark detection is relatively high. The experiments show that the algorithm is robustness, greatly accelerate the speed of operation, to unify the robust and efficient.
Design and Implementation of Digital Image Processing Teaching Demonstration System
Authors: Zhang Shi Min
Published: August 2013

Digital image processing technology is widely used in the further application of computer graphics. This thesis introduces a digital image processing teaching demonstration system including image file management, image transformation, color image processing, binarization, image enhancement, and image edge detection extra. In function, it embraces basic skills in digital image processing. This thesis is a favorable assistant in your study and practical application by means of friendly operation interface, the contrast of image processing effect demonstration and algorithm routine.
A Prediction Model Based on ISOMAP for Software Defects
Authors: Shi Sheng Li , Shi Jin , Wang Rui
Published: August 2013

To improve and guarantee the quality of software, it is very necessary to effectively predicting modules with defects in the software. There are usually more measure attributes in software quality prediction, which often leads to the curse of dimension. To do this, a new algorithm based on ISOMAP was presented to predict software defect, which combined manifold learning algorithms and classification methods. In the model, the high dimensional software metrics attribute data were firstly mapped into the low dimensional space through ISOMAP. Then the low dimensional features were classified with KNN, SVM and NB. Experiments demonstrate that the new model progresses the prediction precision of software defects as well as great improves the efficiency of the algorithm.
Design and Implementation of Equipment Management System Based on the JBMP and Lightweight J2EE
Authors: Sun Yan Fei
Published: August 2013

The paper first described the structure of JBPM workflow management system, and then proposed the structure of equipment management system that is focused on the JBPM workflow engine and based on the Framework of StrutsSpring and Hibernate, finally discussed and introduced the key technology of adding equipment function.
The Overall Design of Digital Campus Based on Middleware
Authors: Tang Li Li
Published: August 2013

After years of digital campus information construction, the school has been set up covering the operation, management, monitoring, application system. Between each application system need to standardize the data exchange services. Data exchange platform construction of university digital campus management system is the realization of system integration, the key measure to solve the problem of data sharing and exchange, is also necessary to promote and realize the resource integration and application integration infrastructure.
Discussion of Principle and Application for Internet of Things
Authors: Li Xiao Jing , Hu Yan Hui
Published: August 2013

The concept of Internet of Things (IoT) is opening new horizons in systems intelligence, where physical objects (embedded with sensory, identification and networking capabilities) can interact with other objects through the global infrastructure of wireless/wired Internet. These systems can be monitored and controlled by filtering and processing collected data. Such intelligent design will naturally result in efficient and cost effective systems. The concept of IOT and the architecture of IOT are discussed. The key technologies of IOT, including Radio Frequency Identification technology, Electronic Product Code technology are analyzed. The framework of digital agriculture application based on IOT is proposed.
A Novel Method to Improve the Accuracy of Grey Prediction Model in Economic Prediction
Authors: Wang Qian Ru , Chen Xi Wei , Luo Da Shi , Wei Yu Feng , Jin Li Ya , Liu Li
Published: August 2013

Grey system theory has been widely used to forecast the economic data that are often highly nonlinear, irregular and non-stationary. Many models based on grey system theory could adapt to various economic time series data. However, some of these models didnt consider the impact of the model parameters, or only considered a simple change of the model parameters for the prediction. In this paper, we proposed the PSO based GM (1, 1) model using the optimized parameters in order to improve the forecasting accuracy. The experiment shows that PSO based GM (1, 1) gets much better forecasting accuracy compared with other widely used grey models on the actual chaotic economic data.
Simulation Analysis of the Inventory Mode for Storage System
Authors: Han Qing Tian
Published: August 2013

Firstly, based on the characters of the modern storage system, the typical model was established. Secondly, the inventory modes in random and in sequence were studied by simulation using Flexsim software. Finally, the comparison and analysis between the two modes were carried out. The analysis results show that he efficiency under inventory mode in sequence is much higher than which under the mode in random.
Cloud-Based Platform Building Research of Teaching Resources
Authors: Luo Ying , Zhang Xiang Qing
Published: August 2013

In cloud computing era, establishing a unified, open, flexible education informatization platform has significant influence in realizing resource sharing and narrowing education informatization gap. This paper presents the advantage of cloud computing and problems existing in the construction of teaching resource platform, puts forward exploiting and constructing teaching resource platform based on cloud computing, and analyzes the application function of cloud service.
The Design of Network Forensics Based on Jpcap
Authors: Zhong Xiu Yu
Published: August 2013

The massive data must be captured and transferred in network forensics, Jpcap has provided convenient method for capturing and transferring network data. After capturing and filtering the network data packet, network forensics based on Jpcap analyzes protocol to primary data, and the current user behavior is judged legal or not through match results of user behavior and the crime characteristic. In order to guarantee evidence primitiveness, integrity and legal efficiency, the primary data is transferred by encryption. Simulation results show that the system can reappear the criminality completely, such as SYN flood and ARP deception, and can distinguish some new crimes.
Internet of Things Resources Addressing the Technical Analysis and Research
Authors: Yan Lian Long
Published: August 2013

This paper presents a certain universal applicability entity coding standards and improved distributed hash table based on the specification developed a resource addressing system for the Internet of Things.
On Teaching Evaluation Information System of University Physical Education Curriculum
Authors: Zhou Qiang
Published: August 2013

While colleges and universities are actively promoting a curriculum reform in physical education and making an adjustment of structure of physical education curriculum, they use ASP.NET technology and Web database technology to study the construction of evaluation information system based on B/S Model and scientifically evaluate teaching quality of physical education curriculum of ordinary universities in order to examine whether the universities have formed the teaching features of Three-autodidacticism of physical education teaching in accordance with the requirements of university credit system, establish a guiding ideology of Health First and make optional courses teaching model the main approaches and means, which finally builds a foundation for improving the teaching effects of physical education, strengthening the teaching ability and comprehensive quality of teachers, improving the position of physical education curriculum in colleges and universities and cultivating students lifelong health awareness and their development in an all-around way.
The Design of a New Multi-Dimensional Parameter Acquisition Equipment with RFID Module in Sensitive Logistics Environment
Authors: Zeng De Zhi , Wu Li Ming , Luo Xin , Li Fu Jian
Published: August 2013

In this thesis,I designed a new multi-dimensional parameter acquisition devices with a RFID module. The device combines RFID module and multiple sensor by microprocessor chip.To make it has the multiple functions of RFID tags, readers and external environment perception.
Research on Multifunctional Gas Chromatography Sample Pretreatment Apparatus
Authors: Jin Ri Jun , Chu Chao Qun , Wang Xiao Ping , Li Dong Hao , Piao Xiang Fan
Published: August 2013

Multifunctional gas chromatography sample pretreatment apparatus (hereinafter referred to as pretreatment apparatus), which is developed on the basis of gas purge micro-syringe extraction (GP-MSE) technique, is a gas chromatography (GC) sample pretreatment apparatus that integrates extraction, purification, concentration and predissociation. The quantitative and qualitative analysis results analyzed by GC-MS for volatile oil that extracted from the plant samples by steam distillation method and pretreatment apparatus, show that the volatile components extracted by the apparatus outnumber the ones extracted by steam distillation method clearly, and the content of major constituents extracted by the apparatus is higher. The apparatus have advantages of low consumption of agentia, short extraction time, high enrichment efficiency, simple structure, convenience in usage and low operating costs. The apparatus can be widely used in the areas of medicine, agriculture, food, quality control to the sample pretreatment of solid or liquid sample.
Principles of Interaction Design Research Based on Cognitive Characteristics
Authors: Niu Dong Fang , Yang Song , Deng Ming
Published: August 2013

Interactive products need to have human qualities. Designers need to give the characteristics to the product. Analysis of the cognitive process and cognition import the interaction design, we can sum up nine principles of interaction design for four aspect: concerns unity, visibility, visual structural optimization, memory capacity limited, simple and complex conservation, affordance, feedback mechanisms, the targeted emotional experience, fault tolerance.
The Rapid Design System of Stamping Process Based on KBE
Authors: Huang Hong Hui , Wang Ling Yun
Published: August 2013

This paper takes UGNX6.0 as the development platform, by using its UG/KF development tools, fusing feature and knowledge together, so as to realize the process associated with the geometric design knowledge and stamping process design. Based on the features of stamping process, the classification of stamping process knowledge has been studied. With the object-oriented method, the rule-based and instance-based technology for expressing and acquiring the stamping process knowledge is discussed. Based on this, the stamping process model driven by knowledge has been established. It showed the importance of the CAD technology in designing of relatively complex progressive dies. Based on the knowledge engineering process designed, the degree of intelligence stampings process design has been enhanced, design quality and efficiency has been improved, and the dependence of the process design experience of designers has been reduced.
Design and Study on the Intelligent Fault Diagnosis System of Diesel Engine
Authors: Li Feng Ming , Wang Xiao Hong
Published: August 2013

Based on modern measure technology, wavelet transform and neural networks, the system of diesel fuel fault diagnosis is designed. Wavelet packet power and RBF networks are combined together to diagnose the fuel oil system. The master system is developed with Visual C++ and the slave system is designed based on 89C52. The two systems communicate via the RS-232 serial communication. The system is applied in practice and performs well.
Exploration of Springback Prediction System of Sheet Metal on Refrigerator Door and its Die Design
Authors: Yang Yong , Zhang De Hai , Li Yan Qin , Wang Chuan Peng , Bai Dai Ping , Liu Ji Bin
Published: August 2013

To be faced with the appearance and mechanical defects during refrigerator door making process, enterprises have no effective solutions. A springback prediction system is developed to accurately predict the springback of sheet metal and to improve die design. The main components, key theory and technique of this system are illustrated for the purpose of revealing co-relationship of springback and constitutive model and different parameters. It provides a powerful tool for cutting production cost and raising working efficiency. It is of great significence for engineers and enterprises.
Image Recognition Technology Based on Artificial Intelligence
Authors: Lin Hai Yun , Wang Yu Jiao , Cai Jian Chun
Published: August 2013

In respect of the classification of current image retrieval technology and the existing issues, the paper put forward a method designed for image semantic feature extraction based on artificial intelligence. The new method has solved the tough problem of image semantic feature extraction, by fusing fuzzy logic, genetic algorithm and artificial neural network altogether, which greatly improved the efficiency and accuracy of image retrieval.
Research of Cloud Storage and Data Read-Write Technology
Authors: Chen Hong Jun , Tan Tao , Wu Xue Qin
Published: August 2013

Cloud storage is a promising market. In this paper, cloud storage technology and cloud data read-write technology is researched. Cloud storage has a four-layer structure model. Cloud storage uses disaster recovery and backup technology to improve the availability and reliability of the system. The request of data read-write in cloud storage is a temporary URL, which is constructed according to the algorithm. Send read-write request through push sequentially, and write by transfer between the primary chunks with the copies. The efficiency of cloud storage depends on the number of serves and clients. In order to improve the efficiency of data reading and writing, there is proposed three envisaged.
Application of Wavelet Transform in Image Processing in Aviation Engine Damage
Authors: Qin Yu Fei , Cao Jun Bin , Cao Jun Qing
Published: August 2013

For the poor quality of the damage image which is obtained by techniques of practical endoscope detection, the damage image is not easy to identify, this article uses the wavelet transform method for processing damage image, adopts soft threshold method to filter the noise, and then enhances the image, finally employs wavelet transform method in the image edge detection, protrudes the information of the fault and the edge, which is convenient for damage recognition.
FastSLAM Algorithm for Uninhabited Flying Vehicle
Authors: Feng Lin Ping , Wu Yu Qiang , Pan Shuang , Wang Xi Bin
Published: August 2013

For uninhabited flying vehicle, it is a key prerequisite of truly autonomous mobile vehicles to simultaneously localize and accurately map its surroundings. Kalman filter-based algorithms require time quadratic in the number of landmarks to incorporate each sensor observation. This paper presents an algorithm so called FastSLAM that recursively estimates the full posterior distribution over robot pose and landmark locations, but scales logarithmically with the number of landmarks in the map. FastSLAM factors the posterior into a product of conditional landmark distributions and a distribution over UAV paths. The algorithm has been tested in UAV environments. Experimental results demonstrate the advantages and disadvantages of the FastSLAM algorithm for UAV.
Research on Attack Source Traceback
Authors: Xu Wei , Xu Qiao Hong
Published: August 2013

The existing methods of attack traceback still have many defects, such as input debugging method requires the professional intervention; ICMP traceback message takes up the network bandwidth resources and so on, so a new collaborative network is picked up, based on ant source of ideological attack tracking method. This method is mainly used strategy from ICMP traceback message, that is, data packet attacked is backed-up on the network monitor, and then the scope of the query path information is reduced using the ant colony algorithm, enabling rapid construction of the attack path. Experiments show that the method improves the query speed of tracking information and the accuracy of positioning the source attack.
Fault Diagnosis of Engine Ignition System Based on the Optimized BP Neural Networks by Improved Particle Swarm Algorithm
Authors: Duan Zhi Mei , Yuan Xiao Jin , Zhou Yan Jie
Published: August 2013

In order to improve the accuracy of fault diagnosis of engine ignition system, in this paper, adaptive mutation particle swarm optimization (AMPSO) algorithm is used to optimize the weight of BP neural network. According to the fault feature of engine ignition system, the fault diagnosis is accomplished by the optimized BP neural network. The algorithm overcomes disadvantages that slowly convergence and easy to fall into local minima of standard PSO and BP network. The simulation results show that the method gains good classification result and has a certain practicality.
Research on Property and Model Optimization of Multiclass SVM for NIDS
Authors: Song Jian Hao , Zhao Gang , Song Jun Yi
Published: August 2013

By investigating insufficiency of typical artificial intelligence algorithms aiming at the high rate of False-Positives and False-Negatives in the Intrusion Detection Systems (IDS), this paper presents an approach that Support Vector Machine (SVM) is embedded in Network Intrusion Detection System (NIDS). At the same time, by using online data and K-fold cross-validation method, this paper proposes a method to optimize the attributes and model of SVM respectively. Experimental results show that by using this method as the detection core of the intrusion detection system, the rate of False-Negatives in IDS can be reduced significantly.
Airborne Oxygen-Making System Drift Oxygen Sensor Characteristics for Fault Diagnosis Strategy
Authors: Luo Xiang Yan , Cao Jun Bin , Cao Jun Qing
Published: August 2013

This paper focuses on airborne oxygen-making system shortcomings of oxygen sensor characteristic drift in, proposes a method of fault diagnosis. Oxygen sensor with a Wavelet packet analysis of feature extraction, based on wavelet neural network method to determine whether the sensor has failed, and sensor to detect hardware and software design are given.
Detecting App-DDoS Attacks Based on Marking Access and d-SVDD
Authors: Li Jin Ling , Wang Bin Qiang
Published: August 2013

In order to enhance the extensibility of current attack feature extracted and detection means for App-DDoS(Application Layer Distributed Denial of Service, App-DDoS) attacks, a novel feature extracted method based on marking access and a new detection algorithm named d-SVDD are proposed. After expressing kinds of App-DDoS attacks as characteristic vectors by access marked strategy and feature extracted strategy, d-SVDD algorithm is used for secondary classification and detection of pre-set area around decision boundary based on SVDD. It is proved by experiments that the proposed feature extracted and detection means can realize effective detection for kinds of App-DDoS attacks, both have satisfying time, space and extensibility performance.
Research on Operation Optimization Problem of Material Handling System for Large Ship
Authors: Wen Cui Ping , Huang Kai , Zhu Wei Feng
Published: August 2013

Material supply isthe basic guarantee for the large ship sailing to ocean. In order to improve the efficiency of the supply of the large ship, the support of materials handling system is needed. According to the typical material handling system of the large ship, with the material handlings time shortest as the decision goal and the handling sequence as the decision variable, the analysis and construction of the model for optimizing the systems operation is given in this paper. The improved genetic algorithm is put forward. The specific model is also given and its proved that the analysis and modeling method in this paper can effectively improve the efficiency of the material handling of the large ships.
The Aplication of Testbed Tbrun in Unit Test of Aviation Software
Authors: Li Yuan , Liu Dan
Published: August 2013

Based on actual project of unit test,it disscussed the application of testbed in unit test of aviation software.It introduced the configure of three general aviation software's development environment in testbed,and some modifications of code before test.It analysed steps of unit test and several common problems during steps,in addition,it introduces defect of testbed in unit test. Each function can be verified after unit test,at the same time,other test processes are guaranteed.
Fast Objectionable Videos Detection Algorithm Based on Motion Vector Field
Authors: Lv Gui Qing , Qu Zhi Yi
Published: August 2013

Aim at large amount and complex features of network video data, this paper proposed a fast algorithm of detecting pornographic video in streaming media. Combining the information of motion vector field and the features of pornographic behavior trajectory, we could judge that weather a video is pornographic or not without decoding it. The experiment show that the algorithm recognition rate is reached 80%, and is robust for network video detection environment
Studies of High-Accuracy Stress Calculation Method in Isogeometric Structure Analysis
Authors: He Gang , Gu Hao , Pan Zheng Yu
Published: August 2013

The stress calculated method of isogeometric structure analysis is studied in this paper. Based on the fact that stress calculated values at Guass integral points are more accurate than other locations, the stress field can be rebuilt by fitting the Guass integral points stress value from the displacement field, and two methods including stress interpolation and least square fit are presented to reduce the stress error. The example of infinite plate with circular hole is used to illustrate our methods performance, and the results show that our methods can improve the stress calculate accuracy notable.
A Fuzzy Adaptive K-SVD Dictionary Algorithm for Face Recogntion
Authors: Song Xiao Ning , Liu Zi
Published: August 2013

Sparse representations using overcomplete dictionaries has concentrated mainly on the study of pursuit algorithms that decompose signals with respect to a given dictionary. Designing dictionaries to better fit the above model can be done by either selecting one from a prespecified set of linear transforms or adapting the dictionary to a set of training signals. The K-SVD algorithm is an iterative method that alternates between sparse coding of the examples based on the current dictionary and a process of updating the dictionary atoms to better fit the data. However, the existing K-SVD algorithm is employed to dwell on the concept of a binary class assignment meaning that the multi-classes samples are assigned to the given classes definitely. The work proposed in this paper provides a novel fuzzy adaptive way to adapting dictionaries in order to achieve the fuzzy sparse signal representations, the update of the dictionary columns is combined with an update of the sparse representations by incorporated a new mechanism of fuzzy set, which is called fuzzy K-SVD. Experimental results conducted on the ORL and Yale face databases demonstrate the effectiveness of the proposed method.
A New Algorithm of Eyed Typhoon Automatic Positioning Based on Single Infrared Satellite Cloud Image
Authors: Yin Gang , Chen Yu Feng
Published: August 2013

According to the characteristic that the gray value difference is quite obvious in different areas of the singles infrared cloud, this paper puts forward an algorithm of the eyed typhoon's center automatic positioning. After pretreating the cloud image, we use the template to segment the airtight cloud wall area which has high gray value. In addition, the difference between gray values of the airtight cloud wall area is small. Then we do binarization processing to the image and use the method combined with the mathematical morphology and artificial intelligence to process the image in filtering smoothly. We remove the isolated interference point. Then we corrode image and adopt the seed filling algorithm to detect the candidate eye area. In the candidate eye area, the paper puts forward the discriminant function which is based on the combination of the gray information and the distance between the inspection points and the circle's center. The candidate eye area corresponded to the minimum value of the discriminant function is the center of the eyed typhoon. The experiment result shows that this algorithm has higher positioning accuracy and it can be used for meteorological service.
Novel Analysis Method Based on STFT for Muzzle Velocity Measurement of High Firing Rate Artillery
Authors: Shi Lin , Ju Feng , Liu Yan , Han Zhuang Zhi , Liang Si Yang
Published: August 2013

For the muzzle velocity measurement of high firing rate artillery, a novel time-frequency analysis method based on short-time Fourier transform (STFT) is proposed and the design principles of critical parameters are provided in this article. Measured data verifies the feasibility of this method, which provides useful references for engineering application and lays foundation for further noise reduction and muzzle velocity extrapolation.
Security Analysis of Cryptographical Module for FPGA
Authors: Sun Hai Tao , Xue De Qing , Liu Jie
Published: August 2013

FPGA has been used abroad all fields about space, military, auto. It is the best choose of cipher protocol and arithmetic achievement. Its security has been concerned. In this article the authors design a Hardware Trojan of transmitting key information towards FPGA. It is important to realize the implement mechanism and raise the attention to IC security.
A Survey on Smartphone Security
Authors: Liu Di , Zhang Ni , Hu Kun
Published: August 2013

This paper proposes a survey on smartphone security from the aspect of mobile malware, specifications related to smartphone security, and smartphone security solutions. The contribution of this paper helps people to quickly know about definition of malware, attack channels and black industry chain of smartphone security, international and domestic mobile security specification, and smartphone security solutions by security vendors.
Fault Diagnosis Technology Research on Radar Equipment Based on Sensor Data Validation and Detection Fusion
Authors: Hu Wen Hua , Guo Bao Feng , Xue Dong Fang
Published: August 2013

Aiming at many fault characteristic parameters of modern radar and the problem that general diagnosis method is difficult to locate fault accurately. The dynamic mathematical model of radar equipment fault diagnosis system is built. The uncertainty theoretic analysis of fault diagnosis result is studied from two aspects, data processing channel and fault model. This paper combines sensor data validation with detection fusion technology, and then puts forward the fault diagnosis technology based on sensor data validation and detection fusion. The structure of the diagnostic system model is given. Case analysis proves that the proposed model and method has a significant role in improving detection performance, reducing the Bayes risk and improve fault diagnosis rate.
Summarize of Technological Development about Integrated Simulation of Gas Turbine Equipment
Authors: Li Shu Ying , Li Tie Lei , Wang Zhi Tao
Published: August 2013

This paper summarizes integrated simulation technology development status of gas turbine equipment at home and abroad, makes comparative analysis of the deficiencies in the existing domestic research, forecasts the direction of development in the field of integrated simulation about gas turbine equipment at our country finally.
Online Modeling and Simulation Algorithms Analysis Used on Water Turbine System
Authors: Chen Tie Hua , Li Shu Gang
Published: August 2013

Water turbine system model is set up in MATLAB based on the three main parameters which are guide vane opening, unit flow and unit speed. Then use trainlm function and sample defaulted by the system to train the networks. The interpolation fitting process of the nonlinear relation is performed on the PC and only the right value and threshold of the non-linear relationship are transferred to the control core DSC of the local computer, which effectively improved the nonlinear real-time simulation speed. The process of realizing the nonlinear simulation based on neural network according to the actual unit HL220 is discussed and analyzed the results.
Collaborative Optimization for the Regenerative Heating System of a Steam Turbine Unit Considering the Steam Sources of Deaerator and Feed Pump Turbine
Authors: Fu Wen Feng , Li Fei , Yang Yong Ping
Published: August 2013

Based on the flow stages structure of steam turbine, the collaborative optimizing model for selecting turbine extracting openings and steam sources of deaerator and feed pump turbine has been established by means of stages combinational-searching. Taking a 600MW steam turbine unit for example, the validity of the model has been illustrated, and various optimization schemes have been obtained with different steam sources of deaerator and feed pump turbine. The results show that the standard coal consumption rate can be decreased by up to 0.78069g/kW·h when the extracting openings are fixed. And the standard coal consumption rate can be decreased by up to 0.93342g/kW·h when the extracting openings are optimized collaboratively. The optimization method has referenced value for optimizing and designing the regenerative heating system.
Research on Method of Random Error Separation Based on Wavelet Transform and Frequency Bands Character
Authors: Duan Xiu Yun , Huang Yu
Published: August 2013

a new method of random error separation based on wavelet transform and the frequency bands character of measurement data is proposed. Approximates the random error with the detail components of the wavelet decomposition, determines the optimal decomposition level on the frequency intervals between the random errors and other components, and finally gets the random error by reconstructing all the detail components. The method is simply and efficient, avoids the indirect error with modeling and indirect methods, and computer simulation proves the robustness of the separation results.
Saliency-Based Adaptive Object Extraction for Color Underwater Images
Authors: Wang Hui Bin , Dong Xin , Shen Jie , Wu Xue Wen , Chen Zhe
Published: August 2013

Because of the special optical underwater imaging environment, the contrast and quality of images are affected severely, causing it difficult to extract objects from underwater images. An adaptive underwater object extraction method based on the saliency maps is proposed in this paper. Firstly, preprocessing method is utilized to improve the color contrast and quality. Then multi-scale image features are combined into a single topographical saliency map. The most salient image location and primary object are directed by the saliency map. By calculating the Bhattacharyya distance of salient features between the primary object and background, the adaptive weights of conspicuity maps can be obtained, as well more accurate object can be extracted from the fuzzy images. Experiment results show that the proposed method can not only detect the objects effectively but also extract more accurate object areas. It has a better performance compared with other algorithms.
Technical Aspects of Spurious Emission Measurement on WCDMA Base Station Transmitter Using Spectrum Analyzer
Authors: Zhang Rui , Zhang Pei Yan , Lu Bing Song , Cao Han , Zhou Feng , Zhao Xiao Xin
Published: August 2013

In his paper, main technology about spurious emissions measurement on WCDMA base station transmitters by using spectrum analyzer is provided. The limited requirements of spurious emissions, and the requirements of spurious emissions measurement with a spectrum analyzer, and the calculations of spectrum analyzer dynamic range and spurious limited are discussed in detail. In the end a example of spurious testing system is provided.
The Application of Model Reference ADRC Based on PD Gain Adaptive Regulation in Quadrotor UAV
Authors: Wang Hong Jun , Qi Xiao Hui
Published: August 2013

Unmodeled dynamics, internal disturbance and external disturbance in the quadrotor UAV kinetic model, affect the flight control and increase control complexity. In order to improve the dynamic performance and robustness of the control system, we adopt model reference ADRC based on PD gain adaptive regulation. Model reference ADRC based on PD gain adaptive regulation is able to detect changes of the controlled object, and adjust the controller parameters based on changes to achieve the stability of the control. Simulation results show that the method has a better tracking performance, better stability of the control strategy. The system can be used in engineering development and application .
The Design of an Electric Bicycle Controller Based on Programmable System on Chip
Authors: Zhang Li Qin , Shi Yuan Ping , Cai Wen Xia , Tian Li Bo , Yuan Li
Published: August 2013

This paper presents an Electric bicycle controller,which is designed on the basis of Programmable System-On-Chip used in BLDCM. The system structure is described. The software and drive circuit are designed. Several modules integrated in PSOC,such as PWM,AD and timer modules,are used to Electric bicycle controller the brushless DC motor can be controlled by PWM output with the help of HALL-position sensors.
Modeling and Simulation of Impact Point Prediction Algorithm
Authors: Tian Zai Ke , Yang Suo Chang , Feng De Long , Yao Yun Zhi
Published: August 2013

Trajectory correction projectiles significantly improved shooting accuracy of conventional ammunition.This paper designed an impact point prediction algorithm based on perturbation theory, and proposed trajectory correction scheme based on the impact point prediction algorithm. Based on perturbation theory, getting samples by solving ideal trajectory and typical disturbed trajectory, and solving the coefficients of the prediction model by regression.The 6-degrees of freedom trajectory simulation shows that adopting this correction guidance law, the standard error of the longitudinal falling points of projectiles reduced significantly.
A Finite Element Approach for Single-Link Flexible Manipulator
Authors: Shi Jing Yuan , Ji Kai Jun , Tang Yan Kun , Yang Kun
Published: August 2013

Many researchers have studied the dynamics of the single-link flexible manipulator. A finite element approach is used in this study to describe the dynamics of the flexible link. The displacement of any point on the link is described in terms of modal displacements. Energy approach is used to formulate the equations of motion.
Research on Software Product Development Project Management
Authors: Zhang Jin Hai
Published: August 2013

Project organization and management software development project management model is the best form of software development enterprises in China's understanding of software development project management has been greatly improved. Traditional software development projects have different characteristics, therefore how flexible application for software project management theory and strategies of the main research objectives of domestic software development project management. Our software in enterprise application software development project management, general shortcomings in implementation, this article on software research and development analysis and project management of implementation strategies.
Simulation Design on the Network Monitoring System of Small and Medium-Scale Hydropower Stations
Authors: Wang Xin , Zou Huan , Zhang Ling , Kong Ling Qiong , Yang Ling
Published: August 2013

As the hydro-engineering projects are often featured with long construction period, great investment and many cooperative departments; moreover, they are usually seriously affected by natural resources, topography, geology and hydro-meteorological condition; it seems quite necessary to design a set of network monitoring system to store, simulate and analyze the historical hydrologic data and planning data. This paper first briefly analyzes the simulation design status of current network monitoring system for hydropower stations, then explores or analyzes the structure of network monitoring system for small and medium-scale hydropower stations and the detailed design programs, and finally it describes its application prospects so as to offer references for others.
An Approach to Mutation-Based Test Data Generation
Authors: Wang Fang , Wu Ri Na , Lee Shu Fang , Zheng Tian Hua
Published: August 2013

Software testing is an important technology used to assure the quality of software. The design of test data is very important, which determines the testing effect in the software testing. Existing design approach to test data cant simulate the fault in software run-environment systematically. Mutation testing is an effective software testing method, which can simulate software defects systematically. Using mutation testing for reference, this paper proposes an approach to mutation-based test data generation. By analyzing the demands of test data, such as coverage rate, fault simulation, we design a series of data mutation operators, which can accomplish design of test data systematically. Experiments are carried out on the supporting tool to validate the effectiveness of this approach.
Least Squares Support Vector Machine for Fault Diagnosis Optimization
Authors: Liang Si Yang , Lv Jian Hong
Published: August 2013

In order to improve the diagnostic accuracy of digital circuit, the fault diagnosis method based on support vector machines (SVM) is proposed. The input is fault characteristics of digital circuit; the output is the fault style. The connection of fault characteristics and style was established. Network learning algorithm using least squares, the training sample data is formed by the simulation, the test sample data is formed by the untrained simulation. The method achieved the classification of faulted digital circuits, and the results show that the method has the features of fast and high accuracy.
Test Method for Electronic Device on Condition of Small Sampling
Authors: Cheng Ze , Xuan Zhao Long , Wang Wei , Hao Mao Sen
Published: August 2013

The traditional quality testing method does not apply for the new electronic device which have characters that high-value and small-count, take advantage of the small sampling theory, we can reduce the number of test sample significantly by using the Bayes method. In the processing of the experimental data, we can improve the accuracy of the quality assessment of electronic devices by using of the Bayes method and make full use the prior information.
Study on the Plume Characteristics of Pulsed Plasma Thruster
Authors: Li Yong , Zhang Rui , Zong Jian Hua
Published: August 2013

A current-model Triple Langmuir probe was developed and used to measure electron temperature and density of the Pulsed Plasma Thruster plume. To decreasing the errors in measurement, Probe, collection circuit and glow cleaning devices were elaborately designed. A FIR digital Filter based on Matlab was designed and the software for date processing was developed by Labview. Measurements were taken at various position in the plume of a Pulsed Plasma Thruster operating at discharge energy of 6-24J. The results show the thruster plume has electron temperatures in the range between 0.6and 5.4eV, electron densities between 0.9×1019 and 4.1x1021m-3 for all discharge energy levels considered. Electron temperature and density decrease with increasing angle away from the centerline and with decreasing discharge energy.
Research on Dynamic Modeling of Virtual CNC System of Human Machine Interface
Authors: Bashir Osman , Hu De Ji
Published: August 2013

In this paper, a Virtual CNC system of Human machine interface Modeling described the structure of the real CNC system operator panel, virtual modeling and parser function of CNC panel using Delphi language programming logic as an advanced dynamic modeling concepts and techniques to carry out the virtual CNC system Human machine interface dynamic modeling in the trend to advance the overall level of the domestic NC simulation software industry.
The Application of Fuzzy Reasoning in Cement Particle Size Soft Sensor
Authors: Luan Wei Lei , Meng Qing Jin , Shen Tao
Published: August 2013

In the cement production process, cement quality is the most important indicator. One way to measure the quality of the cement is the cement particle size. Only the cement particle size is symmetrical and the specific surface area could reach the national standard that this kind of cement is qualified products. In actual production, the specific surface area is tested in laboratory through experiment. This process takes a long time, and the instantaneous value of specific surface area can not be got. This paper, auxiliary variables coming from the practical production site are used to get an instantaneous value through fuzzy control algorithm and other rules. VC++ 6.0 is used to program this algorithm. After a long period of actual operation, this method is proved to be effective, the instantaneous specific surface area is got and the precision is acceptable. This could guide the operator to change parameters of the equipment timely. This could be widely used and is easy to spread.
Linguistic Controller Design of LDS upon Cell-to-Cell Mapping
Authors: Xiao Zhi Quan
Published: August 2013

The theory of linguistic dynamic system (LDS) focuses on modeling, analysis, control and evaluation of complex systems at a linguistic level through computing with words. The concepts, frameworks and methods in conventional dynamic systems (CDS) are adopted in research of LDS. This paper is concerned about linguistic controller design of LDS upon cell mapping concept. In view of the studies of controller design for type-I and type-II LDS and optimal fuzzy controller design and tuning methods based on cell-to-cell mapping, two approaches to construct optimal linguistic controller for LDS using cell-to-cell mapping techniques are outlined in this paper.
Performance of Pulsating High-Frequency Current Injection Based Sensorless Control of PMSM
Authors: Wang Jian Min
Published: August 2013

In the paper the principle and performances of the pulsating current injection based sensorless control of permanent magnet synchronous motor (PMSM) are analyzed theoretically and investigated by simulations. In the analyses, the effects of the speed EMF terms and the deviation between the actual d-axis high-frequency current and the command, which results from the limited gain and bandwidth of the current control loop, are all taken into account. It is shown that the pulsating current injection method can achieve stable position estimation in a wide speed range. But appreciable position errors will result at high speeds due to the cross-coupling effects of the speed EMFs and the tracking error between the actual and command carrier current. In order to improve the performance, a modified scheme is proposed. Its validity is confirmed by simulations.
A Hierarchical Fuzzy-Neural Multi-Model Applied in Nonlinear Systems Identification and Control
Authors: Ye Feng , Qi Wei Min
Published: August 2013

The paper brings forward a hierarchical fuzzy-neural multi-model with recurrent neural procedural consequent par for systems identification, states estimation and adaptive control of complex nonlinear plants. The parameters and states of the local recurrent neural network models are used for a local direct and indirect adaptive trajectory tracking control systems design. The designed local control laws are coordinated by a fuzzy rule-based control system. The upper level defuzzyfication is performed by a recurrent neural network. The applicability of the proposed intelligent control system is confirmed by simulation examples and by a DC-motor identification and control experimental results. Two main cases of a reference and plant output fuzzyfication are considereda two membership functions without overlapping and a three membership functions with overlapping. In both cases a good convergent results are obtained.
A Train Hot Bearing Detection System Based on Infrared Array Sensor
Authors: Wang Ying , Wu Zheng Rong
Published: August 2013

Train wheel hot bearing is the primary cause of cutting-axle fracture and severe hotbox accidents, which poses a great threat to the safety of railway transmission. It is necessary and vital to research and develop the technique of hot bearing detector and corresponding system for maintaining the reliable operation of railway system and meeting the requirement of high speed train. In this paper, based on advanced infrared array sensor, a train hot bearing detection system which adopts master-slaver mode, collects bearing temperature array data and uses Bayesian classifier for hotbox discrimination is established to monitor train wheel hot bearing and the detector itself. It provides possibility to improve the accuracy of hotbox alarm, display the waveform of bearing temperature on 3D and manage the bearing information on whole line.