bluuebunny/crossref_metadata_2025 huggingface dataset:
A Semantic-Based Algorithm for Microblogs Clustering
Authors: Miao Jia Jia , Chen Guo You , Wang Le , Fang Xue Lin
Published: March 2013

Microblogging has become a major tool for people to not only share information, but also to talk about current affairs. Has become the most popular content in the analysis, interested companies and researchers. We focus on the micro-blog clustering high-dimensional, high sparse, and proposed a new algorithm based on k-means-k frequent itemsets. In addition, the development of a method to capture long-term mutual information context knowledge in microblogging and algorithms are also designed to measure the conversation Similar. In order to support the new micro-blog clustering algorithm. Experimental results show that the clustering algorithm has higher accuracy than the standard k-means and two points in k-means algorithm toward large-capacity and highly sparse microblogging also maintain good scalability.
Design of Sound Recognition System Based on Modified Neural Network
Authors: Qian Su Xiang , Liu Fu Xi , Cao Jian
Published: March 2013

Sound recognition based on neural network is a technique that can put a resolution to exceeding artificial identification. Three kinds of neural network recognition models, adopting MFCC and difference MFCC, are discussed. According to six kinds of typical gunshots we design a kind of sound recognition system based on BP neural network optimized by PSO that uses MFCC and difference MFCC as a characteristic quantity to recognize sound signal. In the experiment PSO is used to optimize the network’s initial weights and threshold value. The experiment’s results show that BP neural network optimized by PSO using both MFCC characteristic quantity and difference MFCC characteristic quantity have a relatively lower error and a relatively faster speed than other ways discussed in the article, and the designed system reaches the expected goal.
A Novel Object Tracking Based on Foreground Hue Histogram
Authors: Gao Yun , Zhou Hao , Zhang Xue Jie
Published: March 2013

We propose a tracking algorithm for a single non-rigid object based on its foreground hue histogram. A tracked region can be described by the foreground hue histogram only calculating foreground object pixels, which can effectively restrain the disturbing of complex background environments. For measuring the object likelihood, we match the foreground hue histogram with that of the tracked object and refer the result of motion detection to encircle the tracked object region as much as possible. During the tracking, we update the hue histogram model for adapting the object appearance variation. The proposed algorithm is realized in the particle filter frame, and the experiments show that it is capable of robustly and accurately tracking a single non-rigid object for the situations of complex background scenes and strong appearance variations.
The Research of Application in Image Restoration Based on Wiener Filtering
Authors: Hu Yang Bo , Jiang Hua , Li Long Bing
Published: March 2013

Image, due to the impact of such as blurring, distortion, noise, etc., will cause a reduction in image quality and the formation of the degradation of the digital image. The using of some kind of a priori knowledge use the least squares method to be filtered, so that the original image and its recovery minimum mean square error between the two images. This can get a better recovery image.
Vision Navigation with Salient Features for Autonomous Aircraft
Authors: Yu Jun Wei , Liu Nan , Wang Gui Cai , Jin Xiao Bo
Published: March 2013

A novel technique of vision-aided navigation for autonomous aircraft is presented in this paper. The aircraft’s position and pose are estimated with several control points. The saliency descriptor of corner is defined and the control points are selected according their saliency. Control points are tracked in sequential images based on Fourier-Melline transform. The unscented Kalman filter is used to fuse the aircraft state information provided by the vision system and the inertial navigation system. Experiments show that the accuracy, efficiency and robustness of aircraft navigation system are improved with the proposed method.
Stability Analyses of Neural Networks with Unbounded Time-Varying Delays and Nonlinear Perturbations
Authors: Yin Li Zi
Published: March 2013

In this paper, we consider the problem of mu-stability of unbounded time-varying delays neural systems with nonlinear perturbations. Some mu-stability criterias are derived by using Lyapunov- Krasovski functional method . Those criteria are expressed in the form of linear matrix inequalities (LMIs).
Water Resources Optimal Allocation Based on Multi-Objective Differential Evolution Algorithm
Authors: Feng Ke Peng , Tian Jun Cang
Published: March 2013

Differential evolution is a simple and powerful globally optimization new algorithm. It is a population-based, direct search algorithm, and has been successfully applied in various fields. Optimal allocation of water resources is an important part of the planning of water resources. Traditional planning methods prove insufficient for the multi-objective system of water resources. In this paper, multi-objective differential evolution(MODE) algorithm applied to the regional water resources optimal allocation, through definition of economic, social, Eco-environmental three objective function and the constraints, the regional water resources optimal allocation model has been established, and then multi-objective genetic algorithm is used to solve the model .The model gets different results for optimal allocation water resources of Ningxia in 2030(Guarantee rate of water supply 50% and 75%). The result of example proves that the method is reasonable and feasible in the application of region water resources optimal allocation.
A Beach Image Detection Method Based on Erotic Image Detection
Authors: Li Yong Gang , Yin Hai Ming , Gong Xun Wei
Published: March 2013

In the process of erotic image detection, a kind of beach images is often error detected. To solve this problem, a detection model of beach image is designed, which divides the image into two parts to detect: the blue sky in the upper portion and the beach in the lower part. At the same time, a beach naked body detection model is designed to deal with the beach images with naked body, in which OpenCV is used to detect face and naked body. The experimental results show that the proposed method can detect beach image accurately, effectively reduce the error rate of normal image.
An Algorithm for Moving Vehicle Detection Based on Traffic Video
Authors: Zhu Shi Song , Gu Min , Liu Jing
Published: March 2013

Aiming at the defects and shortages of traditional moving vehicles detection algorithms, by the analysis and comparison of the existing detection algorithms, we propose an algorithm that combined with frames with symmetric difference and background difference to detect moving vehicle in this paper. First, two different difference images by using frames with symmetric difference and background difference are gained respectively and two binary images can be gained by the appropriate threshold, then the contour of moving vehicles can be extracted by applying OR operation in the two binary images. Finally, the precise moving vehicles will be gained by mathematic morphological methods. Experimental results show the algorithm used in this paper can detect the moving vehicles better than traditional moving vehicles detection algorithms.
An Improved Web Text Classification Algorithm Based on SVM-KNN
Authors: Cao Jian Fang , Chen Jun Jie
Published: March 2013

This paper proposed an improved Web text classification algorithm. It combined SVM algorithm and KNN algorithm and used the KNN algorithm to compensate for the deficiencies of traditional SVM algorithm and took simple ideas and smaller cost to improve traditional SVM algorithm. The experiments show that the proposed algorithm in this paper has gained good effect.
Based on Improvement Immunity Algorithm Electrical Power System Optimal Power Flow Computation
Authors: Xiao Li
Published: March 2013

Proposed one kind of improvement artificial immunization algorithm calculates the electrical power system most superior tidal current, this algorithm maintained the basic immunity algorithm comprehensive search ability, also the concept which is apart from through the introduction vector causes the immunity algorithm theoretically to guarantee the understanding the multiplicity. Through the IEEE-30pitch point system computed result indicated this algorithm is feasible. And so on compares with the heredity algorithm, this algorithm overall situation search ability strong, the convergence rate is quick.
Collision Avoidance Strategy Optimization of Ship’s Speed Alteration with Bacterial Foraging Algorithm
Authors: Ma Wen Yao , Yang Jia Xuan
Published: March 2013

When ship navigates at sea, collision avoidance of ship’s speed alteration is frequently adopted by officer on watch in order to prevent from forming collision situation with target ship(s). Bacterial foraging algorithm (BFA) that imitates the social foraging behavior of Escherichia coli is an optimal search method suitable for complex problems. This research adopts the bacterial foraging algorithm to find the speed alteration collision avoidance strategy from an economical viewpoint, combining the international regulations for preventing collisions at sea (COLREGS) and the safety domain of ship. An optimal time of changing speed, amplitude of speed alteration and navigation restoration time will also be provided. The effectiveness of the algorithm has been verified by simulation. The study offers new thinking and a practical method for collision avoidance decision.
Extracting Palm Vein Patterns Based on Low-Cost Devices
Authors: Wang Lu , Zhang Wen Tao
Published: March 2013

Abstract. In order to figure out the low-cost imaging apparatus’ problems, such as the low image contrast, the indistinct vein characteristics, which are affected by the photoelectric noise during the collection process. In this paper, the vein imaging principle is discussed, and a low-cost collection device is designed, at the same time a two-dimensional multi-directional Gaussian filter is constructed to achieve the enhancement of low quality palm vein image, and the Local Dynamic Threshold Segmentation Method (Niblack) is adopted to extract vein characteristics. The results show that this method is able to extract distinct vein characteristics, and also can provide reliable characteristics basis for palm vein recognition system.
Chaos Control in the Fractional-Order Lorenz System with Random Parameter
Authors: Qiao Wei
Published: March 2013

In this paper, we study the chaos control in the fractional-order Lorenz system with random parameter. Firstly, according to orthogonal polynomial approximation principle of the Functional analysis, the fractional-order Lorenz system with random parameter is reduced to its equivalent deterministic one. Secondly, chaos control equivalent deterministic system research using the linear feedback method. Finally, though numerical results show the effective and feasible of this method.
Control of Automated Guided Vehicles Based on Multi-Attribute Dispatching Rule
Authors: Gan Zou , Tao Li
Published: March 2013

The automated guided vehicles (AGVs) dispatching problem has been addressed to a large extent in literature.most of vehicle dispatching rules used in literature are single-attribute dispatching rules and sensitive to the facility layout.In this research, a new multi-attribute dispatching rule is proposed for AGVs and compare its performance with that of two of the best dispatching rules in literature.Using simulation, we prove that the new multi-attribute dispatching rule perform well and is robust under different working conditions.
Design of PVAJT Trajectory Generator for Fast Motion Control
Authors: Shin Dong Won , Park Kyoung Seok
Published: March 2013

This paper presents the new method of generating the trajectory at every cycle using PVAJT data, where P means the position, V the velocity, A the acceleration, J the jerk, and T is the multiplied cycle time. This method reduces the calculation time in the trajectory planner so that it takes less time to generate more complex trajectory. Several path trajectories are realized by the PVAJT algorithm to show the performance of proposed method.
Methods of Discontinuous Control for the Autonomous Underwater Vehicles
Authors: Lebedev Alexander
Published: March 2013

New methods of the synthesis of multi-dimensional robust and adaptive control systems for the centralized control of the spatial motion of autonomous underwater vehicles (AUV) is developed in this paper, such as variable structure system (VSS) and self-adjustment system with reference model. The conditions of the sliding mode existence and the self-adjustment process stability with the presence of essential dynamic reciprocal effect between all control channels are obtained and strictly proved. The application of synthesized discontinuous control provides the high control quality at any variations of the object parameters within the given ranges.
Reentry Guidance Based on Parametric Optimization
Authors: Li Da Wei
Published: March 2013

This paper presents a parametric optimization approach to solve reentry guidance. Due to the various constraints imposed on the trajectory, original guidance problem can be converted into an optimal control problem with a merit function to be minimized. Direct implementation of method of variation and is too complex to get a reasonable result, while a numerical parametric optimization approach is feasible and efficient if we choose appropriate control variables as the optimization parameters and effective optimization algorithm. A simulation of the approach is performed to show its validity on reentry guidance problem: as the value of merit function converges to acceptable threshold, all constraints are hold.
Research on Vehicle Stability Based on DYC and AFS Integrated Controller
Authors: Tian Jie , Wang Ya Qin , Chen Ning
Published: March 2013

A new vehicle stability control method integrated direct yaw moment control (DYC) with active front wheel steering (AFS) was proposed. On the basis of the vehicle nonlinear model, vehicle stable domain was determined by the phase plane of sideslip angle and sideslip angular velocity. When the vehicle was outside the stable domain, DYC was firstly used to produce direct yaw moment, which can make vehicle inside the stable domain. Then AFS sliding mode control was used to make the sideslip angle and yaw rate track the reference vehicle model. The simulation results show that the integrated controller improves vehicle stability more effectively than using the AFS controller alone.
WNN Optimizing PID Controller for BLDC Control System
Authors: Han Hong Pei , Wang Wu
Published: March 2013

Brushless DC motors (BLDC) are widely used for many industrial applications because of their high efficiency, high torque and low volume. This paper presents the PID control for BLDC Motor, because good control effect cannot be acquired by using the traditional PID control in the non-linear variable time servomechanism and it is difficult to tune the parameters and get satisfied control characteristics, some intelligent techniques should be taken. Wavelet Neural Network (WNN) was constrictive and fluctuant of wavelet transform and has self-study, self adjustment and nonlinear mapping functions of neural networks, So, a wavelet neural network self-tuning proportional-integral-derivative (PID) controller was proposed. The structure of WNN and PID tuning with WNN was presented and the equivalent circuit of BLDC and its mathematical models was analyzed, the simulation was taken with new method, the efficiency and advantages of this control strategy was successfully demonstrated which can applied into BLDC control system.
Based on PLC and Intelligent Instruments Control System of Annealing Furnace
Authors: Lu Bin , Wang Yan , Liu Cheng Lin , Si Chang Ce
Published: March 2013

This document introducting a based on PLC and intelligent instruments control system of annealing furnace, the control system is on the basis of the PLC configuration software to monitor real-time control of smart meters, interchanging data between them, in order to achieve automatic control function together. Make the control system is safe and reliable, high accuracy [1].
Fuzzy Neural Network Control of Cold Tandem Rolling Thickness Based on the Intelligent Integration
Authors: Zhang Ju Ping , Lu Ya Li , Xue Wei , Wu Qing Hua
Published: March 2013

Based on the analysis of thickness control theory, a controller combined fuzzy neural network with intellectual integration was designed in consideration of the nonlinear, large time delay, varying time characteristics of tandem cold mill thickness control. The controller adopted three layers BP network to realize fuzzy control and linked with intelligent integration in parallel for forming a three-dimensional full intelligent composite controller which enables the cold tandem rolling thickness fuzzy neural network control based on intelligent integration. Simulation results show that, compared with the conventional PID control, the compound intelligent control strategy can remarkable improved performance of control system of cold tandem rolling thickness.
Study on Design Criteria and Methods for the Valve Train of the Compressed-Air Engine
Authors: Zhang Zhao , Jia Rui Bin , Yu Qi Hui , Cai Mao Lin
Published: March 2013

The Compressed-air (CA) engine car is receiving increasingly worldwide attention because it takes advantages of renewable energy and has zero exhaust emissions. However it is limited by its low efficiency. This paper focuses on a systematic study on valve timing for optimizing its efficiency and performance. The requirements for the valve train were presented and an optimized polynomial cam profile was applied. Using the programme of Matlab, the influences of the half wrap angle and the maximum valve lift to the fullness coefficient were studied. The article proves that the designed cam profile should use the minimum maximum valve lift to receive the maximum fullness coefficient.
Robust Linear Quadratic Sliding-Mode Control for BLDC Motor Positioning System
Authors: Lee I.N. , Kim K.H. , Lee J.H. , Lee D.H. , You K.H.
Published: March 2013

The brushless dc motor position tracking system to be controlled includes a friction and a backlash as disturbances. In this paper, we propose a robust linear quadratic sliding-mode controller for precision positioning in a brushless dc motor system. The control algorithm includes a linear quadratic control for an optimal feedback gain and an integral nonlinear sliding-surface based on a new reaching law to remove the reaching phase. It has robust performance against parameter variation which causes an oscillation in case of linear quadratic control. Simulation results show that the proposed controller gives an improved accurate driving tracking result and is robust to plant parameter variation and load torque disturbances.
The Application Research of Pumps Operation Optimal Control Arithmetic for Saving Energy in SZWG
Authors: Li Zheng Guo , Zhang Qiang , Zhu Fang Lai
Published: March 2013

In order to solve the problem that how to adjust the operation of all units of the pump station and control the speed of pumps on time, in the changing condition of manufacture procedure, to optimize the pumps combination and adjusting-speed strategy, this paper builds a mathematic model of pumps operation control system, adopts the method of system identification to calculate system parameters on-line, and brings forward a optimal control arithmetic for saving energy. The data analysis of running spot indicates that the arithmetic can save energy of pump station obviously, and also has the good function of equipment maintenance, so it has the high engineering application value.
A Method for Parameter Identification of Mechanical System Based on Differential Motion Equations
Authors: Zhao Jian Wen , Fan Sheng Rong
Published: March 2013

Correct identification of system parameters contributes to construct more precise model of the system and therefore improves the performance of controller. The current identification algorithms have some disadvantages, such as the complication of algorithms and the high requirement on hardware. In this paper, we propose a new system identification method which only utilizes the data from serve motor encoder. Based on the differential equations of motion and the theory of undetermined coefficients, mechanical parameters of the system can be solved using the least square method with the equations constructed based on kinematic parameters obtained by experimental tests. The identified mechanical parameters are then used to construct the system transfer function and a SIMULINK model. The method is validated by comparing the results between simulation and experiment. This method has advantages of low requirement on hardware and simple algorithm. It is proper to be applied in mechanical parameter identification of servo system.
A New Target Tracking Algorithm for Synchronous Radar Network under Blanket Jamming
Authors: Zhao Yan Li , Wang Hua Bing , Gao Xiang Dong , Zhou Ying , Zeng Yong Hu
Published: March 2013

In order to improve the tracking accuracy of the synchronous radar network under blanket jamming with less computation, a new target tracking algorithm based on the optimal linearization is proposed. Firstly, the optimal linearization algorithm for the measurement equation is analyzed. Then the optimal estimation of the position is derived in 2D space according to the bearing angle measurements, and then the estimation is expanded to 3D space in accordance with the pitch angle measurements. Finally, the tracking algorithm for the moving target is presented and simulation testing is conducted. The simulation results show the tracking algorithm without iteration proposed by this paper can make it possible for the radar network under blanket jamming to track the target precisely.
D2P Real-Time Simulation of Energy Management Strategy for Parallel Hybrid Electric Vehicle
Authors: Chen Ze Yu , Zhao Guang Yao
Published: March 2013

For investigating the feasibility of control strategy used in parallel hybrid electric vehicle, a D2P real-time simulation is introduced. A new multi-mode rule-based control strategy is proposed. The strategy is based on splitting the torque from the motor and engine so that these power sources can be operated at high efficiency. A real-time simulation platform is built based on D2P system. Real driver inputs and controller are applied while controlled objects are simulated using the model of parallel hybrid electric system computed in D2P module. Strategy is validated by D2P real-time simulation, which results show that the presented strategy is feasible and effective.
The FWB Filter with Real-Time Detector to Suppress Category II Pilot Induced Oscillation
Authors: Yu Li Ming , Liu Hong Liang
Published: March 2013

PIO (Pilot Induced Oscillation) is the key factor to damage the flight safety and decrease the quality of manned aircraft. Most of modern PIO records associating with rate limiting or position limiting from actuation systems are defined Category II PIO. The existing compensators, e.g. the Feedback-with-Bypass (FWB) filter, can reduced the oscillation potentiality of the pilot-in-the-loop aircraft system due to rate limiting of control surface, however a negative effect evidently arose which slow the response speed of whole system. This paper uses a Real-Time PIO detector based on Short-time Fourier Transform algorithm as a trigger to determine the switch-off time of the compensator working on the whole system so as to suppress the negative effect on responses of system by FWB. Simulation results show us the positive conclusion that this kind combined FWB filter with Real-Time PIO detector is effectively preventing the Category II PIO without performance decreasing.
A Design of MIMU/GPS Integrated Navigation System
Authors: Zhang Xiao Yu , Song Chun Lei
Published: March 2013

A new scheme of small integrated navigation system based on micro inertial measurement unit (MIMU), global position system (GPS) is presented. The characteristic of these sensors and the structure of system are introduced respectively. The TI high performance floating point DSP TMS320C6713B is used as core processor, which is designed to realize both the data collecting and the navigation calculating. According to the error models of inertial navigation system, an integrated navigation algorithm used Kalman filter is proposed to fuse the information from all of the sensors. The simulation test results show the feasibility of the system design.
Design and Implementation of a Dual-Redundant Flight Control System for a Miniature Autonomous Helicopter
Authors: Wang Qiang , Zhu Bing , Liu Peng
Published: March 2013

This paper present the design and implementation of a dual-redundant flight control system for a miniature autonomous helicopter, named SRD-Heli. The systematic design procedure includes hardware integration, flight control law, exchange scheme, as well as experimental evaluation. A dual-redundant control architecture is adopted to construct the flight control system for the helicopter. The control architecture is composed by (1) an active flight control law designed for the active computer, which works in normal condition, (2) a standby flight control law to effectively control the helicopter by standby computer in fault condition. The result of actual flight tests shows that the flight control system is capable of achieving the desired performance.
A Classical Stochastic Verification Theorem for Stochastic Recursive Optimization Problems
Authors: Ji Shao Lin , Wang Lin , Yang Shu Zhen
Published: March 2013

In this paper, we study a stochastic recursive optimal control problem in which the system is governed by a forward-backward stochastic differential equation. Under mild assumptions, a classical stochastic verification theorem is derived.
The Role of Co-Simulation in the Integrated Design of High-Dynamics Servomechanisms: An Experimental Evaluation
Authors: Pellicciari Marcello , Berselli Giovanni , Ori Mirko , Leali Francesco
Published: March 2013

This paper reports about the design and modeling process of high performance servo-actuated mechanisms for automatic machines. Besides being a delicate and time consuming process, coupled simulations based on virtual prototyping finally offer the chance to integrate engineering methods proper of control system engineering and mechanical design. In particular, the main target of this work is to investigate how different virtual prototyping approaches, each having increasing level of detail, can contribute to the appropriate prediction of the expected machine performance. These results are then compared with experimental data obtained on a real servomechanism prototype. The comparison quantitatively demonstrate the improvement on torque prediction and position error reduction when detailed models of the controller and the electric motor dynamics are coupled with the mechanical system model.
Analysis of User Activity Based on Registry in RAM
Authors: Luo Wen Hua
Published: March 2013

As important evidences and clue sources in computer crime investigation, the information of user activity plays an important role in the aspect of revealing detail of offender’s operation. The specific keys of registry in RAM are related to specific user activity. The structures of registry in RAM are different from in disk, especially in the aspect of cell index translation. Based on analysis of data structure for registry in RAM, this paper introduces the technology of cell index translation in detail. Also summarizes the keys closely related to user activity, and illustrates the method of analysis of user activity based on registry in RAM with real case. The method is proved to be accurate and efficient in real work of digital investigation.
Vibration Sensitivity Analysis of the Secondary Isolation Support
Authors: Song Bo , Song Fang Zhen , Ding Chuan Guang
Published: March 2013

The second vibration isolation support (SVIS) is very important parts of the vibration engineering equipment, and its dynamic performance will affect the operating condition of the entire device. In the design process, the sensitivity of design parameters provides a very effective way for design of SVIS. By analyzing the sensitivity of the amplitude of SVIS relative to the mass of SVIS, the spring stiffness and the operating frequency, as well as the sensitivity of the modal natural frequency relative to the plate thickness, the influence degree of these design parameters on the dynamic characteristics of SVIS were obtained and the best optimization parameters the structure of SVIS were obtained.
Hardware-in-the-Loop Simulation of Missile Control System Based on Windows Operation System
Authors: Yang Qian Long
Published: March 2013

A hardware-in-the-loop (HIL) simulation platform in use of windows operation system was successfully established based on general industrial PC combined with an external timer. The following HIL simulation process of missile control system indicated that the novel platform could not only satisfied the real-time requirement of HIL simulation, but also is low-cost and universal, which could provide a convenient new choice in the similar applications.
The Data Quality Analysis in Telecom
Authors: Qin Hai Fei
Published: March 2013

This paper in mainly introduce the data quality, from the data schema to instance. According to the data schema and instance analysis, find out the problem of data quality, and as to the problem, use the relation method solving it. The aim is to improve the data quality
The Technical Solution Exploring of Digital Identity Centralized Security Management for Large Enterprise Organizations’ Employees
Authors: Chen Guang Yong , Qu Jie
Published: March 2013

In order to integrate various digital identity management systems in the context of large enterprise organizations which have a variety of digital identity management system, this article defines the digital identity management strategy, proposes a digital identity centralized management platform architecture and highlighted several key technical considerations. The security level of access to network resources could be increased and the incidents of identity fraud and economic losses could be reduced through centralized management of digital identity’s life cycle and usage. Centralized digital identity management can not only increase the information management maturity but also support organizations’ information technology development.
Research on Virtual Data Access to Oil-Gas Information Integration Platform Based on MTCA-DDA
Authors: Yang Li , Gen Xin Yu , Cao Xie Dong
Published: March 2013

To solve virtual access to distributed oil-gas field data, a new distributed data access model is used to virtual data access center integration platform in oil-gas field.By introducing multi-task cooperative agent (MTCA-DDA), collaboration of MTCA-DDA can efficiently solve distributed data access collaboration problem. Failure server scheme guarantees distributed data continous access. Periodic exchange and data cache mechanism greatly improve data distributed store and access speed.Virtual data access center integration platform shows MTCA-DDA model can improve data access efficiency and enhance the reliability of data access.MTCA-DDA model with periodic exchange and data cache can effectively solve storage and reliability of massive distributed data access and provides a new way for similar distributed application.
Research and Design of Embedded Multi-Function CNC Platform Based on ARM
Authors: Qian Hao , Tao Jun Cai , Zhou Xing Bin
Published: March 2013

This paper is to research and design an open and modularization multi-function embedded NC platform. The platform takes ARM as the core, and using DSP chip to realize interpolation operation, abundant I/O ports and peripheral devices interfaces were designed, with high performance, cost effective and stronger universality features, easy to maintain and upgrade. User can add the special module according their need to achieve wire-cutting, lathing, drilling, milling and other operation and process of the NC tools.
Implementation of Symbolic Analysis of Mechatronic Systems
Authors: Kolka Zdenek , Biolek Dalibor , Kalous Jaroslav , Biolkova Viera
Published: March 2013

The paper presents the theoretical background and implementation details of a multi-domain symbolic analysis program developed with the emphasis on linearized hybrid systems combining classical electrical circuits, controllers, electro-mechanical converters and mechanical parts of electric drives. The systems analyzed can be composed of both basic elements and more complex behavioral blocks (regulators, converters, drives, etc.). All models are defined in an easily extensible library. Implemented algorithms for equation/matrix-based symbolic simplification allow obtaining symbolic expressions of acceptable complexity even for larger systems.
Application of Wheel Running Machines to Highway Bridge Slabs
Authors: Yang Qiu Ning , Mao Ming Jie
Published: March 2013

At present, a dozen of the wheel running machines being used in Japan. Through fatigue tests with wheel running machines developed, the failure mechanism and the fatigue strengths of reinforced concrete slabs were clarified. Our country needs the new technologies based on the theory from the wheel running machines. Those technologies should be carried out continuously and spread of the technologies to the world is strongly expected.
Publicly Veriﬁable Secret Sharing Scheme Based on the Chinese Remainder Theorem
Authors: Jia Xing Xing , Wang Dao Shun , Wu Yu Jiang
Published: March 2013

Publicly verifiable secret sharing schemes based on Lagrange interpolation utilize public cryptography to encrypt transmitted data and the validity of their shares can be verified by everyone, not only the participants. However, they require O(klog2k) operations during secret reconstruction phase. In order to reduce the computational complexity during the secret reconstruction phase we propose a non-interactive publicly verifiable secret sharing scheme based on the Chinese Remainder Theorem utilizing ElGamal cryptosystem to encrypt data, whonly requires O(k) operations during secret reconstruction phase. Theoretical analysis proves the proposed scheme achieves computation security and is more efficient.
Build a Network Multimedia Teaching Environment
Authors: Yang Rui Chun , Shen Fu Ying , Liu Jia Jun
Published: March 2013

[Purpose] This paper is to explore network information environment composition and characteristics of multimedia teaching and research, teaching model and their building. [Method] Literature, experimental research, questionnaires, interviews, training and other research methods are used. [Results] Multimedia teaching by teachers, sharing with learners, its content, its transmission environment, and other basic elements of composition, characteristics reflected on the teaching philosophy of updates, its extension of the concept and functions of the teacher-role changes, as the changing role of teachers and the capacity requirements, learner’s autonomy and self-control ability to enhance the teaching resources and their sharing of rich, personalized teaching process, diversity of teaching content, modernization of teaching methods and so on are achieved. [Conclusions] The teaching concept of network information environment is a multi-media teaching method and educational philosophy with a series of changes and transference. It is a neo-strategy to adapt the information society, knowledge economy, market competition, high-tech, digital environment with their application type, complex and creative training mode of education as well.
Cooperative Learning Basic Model in the Network Construction
Authors: Liu Jia Jun , Jiao Xiao Yan , Liu Shou Yi
Published: March 2013

[Purpose] It is the Network environment model that is used in this paper，in order to explore the impact of cooperative learning, cooperative learning network platform and build the main model. [Method] Through system analysis, development and design of functions, environmental test solution platform for building collaborative learning network etc., introduce experimental control network measures to explore the main modes of cooperative learning. [Results] The results show that: as the most popular online communication media, E-mail eventually becomes a natural cross-class, inter-school and inter-regional cooperation as well as transnational study of selection. To build a network of cooperative learning platform should adhere to the technical point of view, The main mode of the network cooperative learning is based on a team or task-based learning network cooperative learning.[Conclusions] Network cooperative learning can make different levels of learners in the process of completing tasks, with the network environment, breaking through the restrictions of classroom learning environment, to exchange, to communicate, to cooperate and to promote comprehensive development of the learner.
A Method of Words Classification and Attribute Description for Military Documents Electronic Lexicon
Authors: Guo Zhong Wei , Fu Qi Long , Yang Bo , Feng Tao , Zhang Meng Zi
Published: March 2013

Based on modern Chinese words classification and characteristics of military documents field,the method of classification and attribute description for military document words is presented. Through the description of morphology, syntax, semantic and reference, etc. it realizes the organic combination of words classification and attribute description. This method can meet the requirement of military documents intelligent processing, proved by building the military document electronic lexicon.
Research of Sleep and Wake-up Mode in WINCE6.0
Authors: Li Zhi Tao , Fu Ji Hua , Wang Jian Jun , Tan Qiao
Published: March 2013

According to the S3C6410 processor with ARM11 core and the hardware circuits, the WINCE6.0 power management process was analyzed in this paper. The wake-up function was realized through the external interrupt. The interactive capabilities of the system was improved by this function, which could also make a better use of battery and reduce power consumption.
Research on the Potential Characteristics of Object Oriented Software by the Core Structure
Authors: Zhang Hao Hua , Zhai Yu Ren , Feng Wen Jiang , Shen Hai
Published: March 2013

The networks of interdependencies in large-scale Object Oriented software systems are complex, visualization and understand become the important issues for developer. We propose that topology structure can be imaged to network and better understood via core structure decomposition based on complex networks. The core structure analysis allows characterizing networks beyond the degree distribution and uncovering some potential characteristics, Such as structural hierarchies, centrality and evolution. We analyze the core structure of some popular open source software and discuss the differences and similarities, get some noticeable properties, the result show the method provides an interesting view helping to comprehend and evaluate system in development.
Stability Analysis of Computer Virus Model System in Networks
Authors: Ge Shao Ting , Tang Gong You , Yang Xue , Xu Qi Lei , Yu Hao , Wang Pei Dong
Published: March 2013

This paper considers stability analysis of a discrete-time computer virus model in networks. The disease-free equilibrium and the disease equilibrium are first derived from the mathematical model. Then the sufficient condition of stability for the disease-free equilibrium is obtained by the first Lyapunov method. And the sufficient conditions of stability for the disease equilibrium are given by disc theorem. Simulation results demonstrate the effectiveness of the stability conditions.
The Design and Development of PKM System Based on Blog
Authors: Ma Hui , Ye Fei
Published: March 2013

In order to manage personal knowledge better, this paper selects out the typical representative software --blog to design and development the system. This paper briefly introduces the advantage of blog which is as the platform of personal knowledge management and development. It narrates the whole design and development process of personal knowledge management platform which is based on Blog. This system is on basic of blog diary delivering and management, ASP for the development tool, Access as the database platform, realize the function of user registration, also the delivering, classification, reviews and web album of blog diary.
Hot Topics Detection of Network News
Authors: Chi Cheng Ying , Li Hong , Zhan Xue Gang , Jiang Sheng Nan
Published: March 2013

In this paper, through analysis of the structure of web news texts, we have proposed an improvement measure for term weighting in hot topics detection, and a topic weighting scheme for hot topics ranking. Experiment result comparison shows that our method is effective and ranking of hot topics is closer to reality.
Information Processing Based on SQLite for Target Tracking System
Authors: Liu Jun Lin , Sun Qi Yuan
Published: March 2013

As for the digital visual surveillance system, the traditional database and hardware platform can not be good at processing vast quantities of information. Combined with ActiveX Data Objects (ADO) technology, the information processing system was built by using SQLite database with embedded dual-core platform. The embedded database SQLite is implanted in the existing embedded hardware platform DM6446. And processing modules and operating interface were designed based on SQLite and the embedded hardware platform. The designed system can play a role as the core of data processing. The experiments show that the system can meet the requirements of the visual information processing such as data mining, online system analysis, data post-processing and so on.
Ontology-Based Semantic Retrieval for Management Information System
Authors: Shen Jin Xing
Published: March 2013

In order to achieve semantic retrieval for scientific research information in WWW, this paper applies an ontology-based framework to information retrieval system for management information system. After analyze the limitations of traditional method, bring a semantic search forward, and mainly introduce the thought of the semantic retrieval as well as the way to constitute ontology entity and the language that describes it. Moreover, semantic retrieval system based on ontology is also given. The application to retrieve project information shows that the framework can overcome the localization of other ontology’s models, and this research facilitates the semantic retrieval of management information through semantic retrieval concepts on the Semantic Web.
Estimation of Eccentric Distance for Four-Tooth End Mills Based on Amplitude Spectrum
Authors: Liu Can , Wu Jing Quan , Li Guang Hui , Tan Guang Yu
Published: March 2013

Time-domain expressions of nominal component and eccentric component that composing horizontal peripheral milling force are derived from geometry of down milling, they are periodic functions with fundamental frequencies same as tooth-frequency and spindle-frequency respectively. By expanding these two time-domain expressions with Taylor series, the frequency-domain description of periheral milling force is obtained. Further mathematical reasoning is exerted on this frequency-domain description, and it proved that as for four-tooth end mills, even-order harmonics of eccentric milling force do not exist, and the amplitude of spindle-frequency component be linear with eccentric distance, but irrelevant with eccentric angle. Above research results imply that the tooth-frequency component of four-tooth end mills is irrelevant with eccentricity, and that eccentric distance can be estimated with amplitudes of tooth-frequency and spindle-frequency components. Results of milling experiment imply that this eccentric-distance estimating method be effective. Spectral characteristics of eccentric milling force for four-tooth end mills are revealed with theory deduction, and the estimation algorithm for eccentric distance with simple calculation is present. Study conclusions can be used in eccentric-geometry estimating and in milling-force modeling.
Research on Text Classification Technique
Authors: Wang Shi Min , Cao Xian Zhe
Published: March 2013

At first the paper will introduce the basic conception and the generic progress of text classification, after that it will introduce three text classification algorithms in detail and finally it will verify NB, SVM and KNN by experiment with the data mining software-weka. The result of experiment shows that KNN is more efficient than the other two algorithms in recall and precision.
Low-Carbon Economic Benefits Evaluation for Power Generation Projects with Improved TOPSIS Method Based on Combination Weighting
Authors: Li Chao , Ye Cai Qin , Zhao Dan , Mou Lan , Liu Da
Published: March 2013

In the context of the low-carbon economy, economic benefits evaluations for power generation projects focus on the financial benefits and emphasize on the benefit from carbon-emission reduce. Thus, this paper firstly built an economic benefits evaluation index system for power generation projects based on low-carbon financial benefits and carbon-emission reduction efficiency. Then, it established an improved TOPSIS evaluation model based on orthogonal projection method and combination weighting which is determined by AHP subjectively and variation coefficient method objectively. Finally, the empirical analysis of wind power projects’ constructions verified the feasibility and effectiveness of the evaluation model using that new method.
Research on Integrated Quality Architecture of Remanufacturing Industry for CQI
Authors: Li Juan
Published: March 2013

Aiming at the problem of continuous quality improvement of remanufacturing industry, a integrated quality architecture of remanufacturing industry for continuous quality improvement (CQI)were put forward, which the quality information source of remanufacturing product and their relationship is analyzed. Furthermore, the study identified the problem was how to resolve the classification, organization, delivery and control of quality information for remanufacturing process. Finally, lots of studies was discussed, including bill of material based on the remanufacturing quality information organization methods and functional integration of continuous quality improvement, and which provided a theoretical and methodological guidance to continuous quality improvement of remanufacturing enterprises.
Dealing with Loop-Based Map by Line Maze Robot Training Kit
Authors: Huang Hsin Hsiung , Su Juing Huei , Lee Chyi Shyong , Chang Yi Wei , Syu Jheng Yan
Published: March 2013

A line maze robot training kit, which is able to deal with the loop-based cyclic map, is presented to teach the topics of the hardware circuit, firmware programming for motion control and the algorithm for the cyclic paths detection. The training course is used for the senior high school students. The objectives of this work are to train the practical skills, including the concept of the hardware circuit, the motion control with the corresponding firmware programming and the algorithm for the loop-based map. Students, who attended the training course, can learn the basic programming language, the controlling concept for microcontrollers. Moreover, students learn the rules of the line maze contest, including setting for source and target of the map. How to determine the target position according to the optical sensors in front of the line maze robot and how to control the two DC motors are also illustrated. In the workshop, a Matlab simulator is used to train students how to design a feasible map and perform the algorithm to find the shortest path from the source to target. The feedback from most students is that the training kit makes them be interested in robot game and increases the motivation to actively learn the firmware and the shortest path algorithm.