bluuebunny/crossref_metadata_2025 huggingface dataset:
An Approach for Predicting Clinical EEG Signal Based on SVM
Authors: Shen Min Fen , Weng Jia Chun
Published: September 2013

Accurate modeling of Electroencephalography (EEG) signals is an important problem in clinical diagnosis of brain diseases. The method using support vectors machine (SVM) based on the structure risk minimization provides us an effective way of learning machine. But solving the quadratic programming problem for training SVM becomes a bottle-neck of using SVM because of the long time of SVM training. In this paper, a local-SVM method is proposed for modeling EEG signals. The local method is presented for improving the speed of the prediction of EEG signals. Furthermore, this proposed model is used to detect epilepsy from EEG signals in which dynamical characteristics are difference between normal and epilepsy EEG signals. The experimental results show that the training of the local-SVM obtains a good behavior. In addition, the local SVM method significantly improves the prediction and detection precision.
Adaptive Radio Frequency (RF) Identification Based on Frequency Domain Analysis for Open Non-Gaussian Background Environment
Authors: Qu Hong Quan , Yang Jie , Qu Hong Bin
Published: September 2013

With the development of electronic technology, electronic equipments are suffering more electromagnetic interferences, so it is necessary to detect and evaluate their electromagnetic interference degree. The most commonly used method is the anechoic chamber test method that conducted in closed electromagnetic wave environment. However, there are some disadvantages, such as low detection efficiency and high testing cost. In order to avoid these advantages, a new method based on frequency domain analysis is presented to adaptively identify RF band of a detected device working in a non-Gaussian background environment. In this method, a non-parametric hypothesis testing is used to solve the interference of background noise on the detection result in an open environment. Further, an adaptive threshold hypothesis test method is also used to obtain the radio frequency spectrum of the detected signals for low SNR in order to overcome the frequency domain time-varying characteristics. The simulations show that the adaptive RF identification based on frequency domain analysis can improve the detection accuracy in the non-Gaussian background environment.
Locality Preserving Maximum Scatter Difference Projection for Face Recognition
Authors: Qi Yong Feng , Huo Yuan Lian
Published: September 2013

Maximum Scatter Difference (MSD) aims to preserve discriminant information of sample space, but it fails to find the essential structure of the samples with nonlinear distribution. To overcome this problem, an efficient feature extraction method named as Locality Preserving Maximum Scatter Difference (LPMSD) projection is proposed in this paper. The new algorithm is developed based on locality preserved embedding and MSD criterion. Thus, the proposed LPMSD not only preserves discriminant information of sample space but also captures the intrinsic submanifold of sample space. Experimental results on ORL, Yale and CAS-PEAL face database indicate that the LPMSD method outperforms the MSD, MMSD and LDA methods under various experimental conditions.
A New Adaptive Image Fusion Technique of CT and MRI Images Based on Dual-Tree Complex Wavelet Transform
Authors: Du Ling Yan , Jie Yin , Xu Zhan
Published: September 2013

In this paper, a new adaptive images fusion algorithm is presented for CT and MRI based on DT-CWT. For fusion, all the source images are decomposed into low and high frequency sub-bands, and then the fusion of low frequency is done by means of Principal Component Analysis (PCA) while for high frequency regional energy algorithm is used. Experiment are carried out on a number of CT and MRT images, results show that the DT-CWT method is better than that of DWT method in terms of quality measures PSNR, NCC and image visual quality.
A Study Based on Image Compression Technology Using Wavelet Transform
Authors: Gong Ting , Yan Hui
Published: September 2013

It is stated in this thesis that image compression is realized by wavelet transform and the advantages of wavelet transform are pointed out. Based on the evaluation criteria of the performance of image compression, a comparison is conducted with the traditional DCT transform compressed image. It is indicated by the result that the performance of image compression based on wavelet transform is better than that of based on DCT transform.
The Study and Implementation of Digital Camera Positioning Based on Pinhole Model
Authors: Wang Wen Fa
Published: September 2013

The pinhole model of camera imaging is established based on the analysis of the geometrical model of camera imaging and the mapping relationship and calculation formula between target and image are deduced in ideal status. Then the model is improved to make the model more practical, and a lens first-order radial distortion of the pinhole camera model is established. Final, the stability of the model is effectively analyzed.
Fault Automatic Detection Method of Steel Cord Conveyor Belt Based on Gabor Filter Bank
Authors: Zhang Yan , Gong Wei , Zhong Wei Liang
Published: September 2013

A method based on Gabor filter bank is presented to automatically detect the steel cord conveyor belt fault. Firstly, multi-channel filtering is implemented by Gabor filters. Then the characteristic differential and fusion images are calculated. Finally, the fault images are identified by white pixels statistics after the threshold segmentation. The results show that this method has good detection result for steel cord conveyor belt fault.
Medical Image Registration Combined with SURF and Improved RANSAC Algorithm
Authors: Gu Zong Yun , Du Chun Min , Jin Li , Tan Hong Chun
Published: September 2013

Aiming at the requirements of medical image registration for good robustness, high-accuracy and speed, this paper proposes a Medical Image Registration algorithm Combined SURF with improved RANSAC algorithm. This algorithm first of all extracts SURF featured points from images and matches similar featured points, then the improved RANSAC algorithm is used to eliminate wrong matches, and finally the image registration process is accomplished by estimating space geometric varied parameters according to least square method. The algorithm combines robustness and high efficiency of SURF and high-accuracy of improved RANSAC algorithm. Experimental results show that in the condition of images with noise, non-uniform intensity and large scope of the initial misalignment, the proposed algorithm achieves better robustness and higher speed while maintaining good registration accuracy compared with the conventional ional area-based and feature-based registration methods.
Printed Thai Character Recognition Using Conditional Random Fields and Hierarchical Centroid Distance
Authors: Sangkathum Ousanee , Sornil Ohm
Published: September 2013

This paper presents a Thai character recognition method based on topological properties. The method first extracts gradient features from a character image. A two-step classification are then applied to recognize the character. In the first step, a conditional random fields model is used to generate a set of possible characters. Then a nearest neighbor model based on hierarchical centroid distance is employed to finally recognize the character. The proposed method is trained by printed characters from documents and vehicle license plates. The technique is evaluated and found to have the recognition rate of 96.96%.
Gray-Scale Image Matching Technology Based on Artificial Fish Swarm Algorithm
Authors: Zhu Jun Lin , Wang Zu Lin , Liu Hui
Published: September 2013

Aiming at the problem of slow speed in image matching,anti-interference difference and relatively poor ability to resist deformation,proposed a fast image matching method based on artificial fish swarm algorithm (AFSA). In the same test environment,Compared with the image matching method based on particle swarm optimization (PSO) algorithm and found,the method is superior to image matching method based on particle swarm optimization,in matching speed and noise resistance ability and deformation resistance ability has a marked improvement.
Plate Location Based on Low Frequency Vertical Edge and Regional Searching
Authors: Yang Yong , Wang Jian Hua , Hao Long , Huo Na
Published: September 2013

The paper takes license location method based on the low-freq image vertical boundary and region searching. doing the vertical first-order differential operation on the graph, taking the vertical boundary information out, Use the line scan method into license region searching; detect region information of the suitable license texture status-hopping, the algorithm located accurately and lose less operation time than traditionally which has been achieved at the goal for license location fast and accurately.
An Optional Gauss Filter Image Denoising Method Based on Difference Image Fast Fuzzy Clustering
Authors: Liu Xi Wen , Liu Chao Ying
Published: September 2013

Gaussian filtering algorithm has the defect that it will cause a blur at the image edges, therefore, an optional Gauss filter denoising method based on difference image fast fuzzy clustering is proposed. In this method, Gauss filtered image is firstly calculated, the difference image between the original image and the Gauss filtered image is acquired hereafter; and then fast FCM clustering of the Gauss filter image is carried out, the image histogram frequencies are taken as weighting coefficients of objective function when clustering, therefore the noise points of the original image are gotten; finally, optional Gauss filtering algorithm is applied to these noise points of the original image. Experiment results show that this method is fast and effective, its anti-disturbance performance is well, and it can effectively prevent edges from being blurred.
An Impersonating-Resilient Key Agreement Scheme for Wireless Sensor Networks
Authors: Yang Li Jun , Ding Chao , Wu Meng
Published: September 2013

In this paper, we proposed an authenticated key agreement scheme, TinyIBAK, based on the identity-based cryptography, for wireless sensor networks. The TinyIBAK scheme provides implicit identity authentication and key confirmation, which effectively prevents unauthenticated access to the sensor network and resists impersonation attacks. We implemented our proposal for TinyOS-2.1 based on the MICAz motes, analyzed the memory occupation, and evaluated the time and energy performance with the Avrora toolkit. Experimental results indicate that our proposal consumes an acceptable amount of resources, and is feasible for infrequent key distribution and rekeying in wireless sensor networks.
Multirate and DFT Based Fast Parallel Algorithm for 2-D Inverse Discrete Gabor Transform
Authors: Gu Juan Juan , Tao Liang
Published: September 2013

Multirate and DFT based fast parallel algorithm for the 2-D inverse discrete Gabor transform (IDGT) is presented. A 2-D synthesis filterbank is designed for the 2-D IDGT. The parallel channels in the filterbank have a unified structure and can apply the 2-D fast inverse discrete Fourier transform (IFFT) algorithm to reduce the computational load. The computational complexity of each parallel channel is very low and is independent of the oversampling rate. Thus, the proposed parallel algorithm is attractive for real time image processing.
Slope Constrained Quadratic Spline Hermite Interpolation
Authors: Qu Jian Ling , Sun Wen Zhu , Liu Jian Bin , Gao Feng , Zhou Yu Ping
Published: September 2013

A novel quadratic spline Hermite interpolation method for constraining the slope of interpolation curve in a user-defined interval is proposed. The method solves the interpolation problem by dividing point sequence into a series of two adjacent points. By selecting the slopes of these two points skillfully, the slope of interpolated curve can be constrained easily. Then, the entire interpolated curve can be obtained by linking all of these two-point interpolated curves. A series of experiments are carried out to test the performance of these methods. Experimental results show that this method reach expected results perfectly.
Stability Analysis of Time-Varying Population Evolution System
Authors: Wang Jin Mei , Wang Shi Heng
Published: September 2013

We present the time-varying critical fertility and analysis the stability of the system at the critical value. Then we get the sufficient conditions about the system stability, asymptotically stability and not. Keywords: Population development system; mortality rates; Critical fertility rate of women; stability
Asymptotic Behavior of Solution for Higher-Order Wave Equation
Authors: Zhu Wan Zhen , Ye Yao Jun
Published: September 2013

In this paper the asymptotic stability of global solutions to the initial-boundary value problem for some nonlinear wave equation with nonlinear damping and source terms is studied by using a difference ineauality.
Design and Analysis of Hybrid Integrated High-Speed Mushroom Vertical PIN Photodetector
Authors: Zhang Ke Rui , Huang Yong Qing , Duan Xiao Feng
Published: September 2013

We present a new high-speed drift-enhanced InGaAs/InP mushroom vertical PIN photodetector which is integrated on a GaAs/AlGaAs F-P filter cavity using an undercut mushroom mesa structure to significantly reduce both the detectorRCconstant and the parasitic capacitance. A 3dB bandwidth of 110 GHz and a quantum efficiency of 68% are simultaneously obtained at 1.55 μm wavelength.
Multi-Sensor Real-Time Event Service Based on Improved Sensor Bus
Authors: Liu Xue Feng , Wang Hao Ran , Zhao Yan Yan , Yang Xiao Ling
Published: September 2013

Sensor Bus is an important part of Sensor Web. This paper proposes a distributed real-time sensor event service model based on improved Sensor Bus which uses a plurality of different protocol sensors as information sources. The model constructs a receiver module for each sensor in which each type of sensor has a corresponding agent to be responsible for receiving real-time data measured by the sensor. These data will be packaged into XMPP messages in order to send to XMPP Server. Sensor event service (SES) communicates with XMPP Server via SES Adapter, filter event according the clients subscription request and notify client when the event meets the subscription conditions. We verify the validity and feasibility of the model through the simulation of high temperature monitoring and warning service of sensors using TCP and UDP protocols respectively.
Research on Fuzzy Fault Diagnosis of the Equipments
Authors: Qi Ji Yang , Ren Li Na , Ning Shan Ping , Fu Yu
Published: September 2013

The paper introduces a method of fault diagnosis using fuzzy set theory. In the paper, the principle that a fault symptom either exists or doesnt exist is abandoned. A crisp number between 0 and 1 is used to denote the degree of fault symptom, by which the fault symptom vector is constructed. For every kind of fault symptom, a fuzzy pair-wise comparison matrix is constructed. The elements of the pair-wise comparison matrix are triangular fuzzy numbers which denote the qualitative comparisons between the membership values of the given fault symptom with the reference to a pair of possible faults respectively. The least logarithm squares method is applied to determine the membership of the fault symptom with respect to each fault, and then the fuzzy diagnosis matrix is constructed. A simple weighted addition is used to calculate the fault vector based on the fuzzy diagnosis matrix and the fault symptom vector. Center of area is used to determine the best non-fuzzy performance value of the fuzzy number, according to which the fuzzy numbers can be ranked. The ordering of all the possible faults based on the fault symptoms is determined. At the end of the paper, an example is used to demonstrate the procedure of fuzzy fault diagnosis.
Design and Implementation of Real-Time Polarization Measurement System Based on LabVIEW
Authors: Yu Ye , Zhang Yan Gan , Yuan Xue Guang
Published: September 2013

A rapid real-time polarization measurement system was designed and implemented in this paper. The system is centered round a laptop running application developed for the purpose. The paper illustrates how to build such an excellent application with National Instruments graphical programming language LabVIEW, a synchronized high speed multi-channels data acquisition card and some photoelectric conversion module in detail. With simple and friendly user interface, the experimental result shows that the measurement system has high computational efficiency, high precision calibration matrix, which can be efficiently utilized in experiments relating to the measurement of polarization.
Adaptive Two-Stage Sensing Based on Energy Detection and Cyclostationary Feature Detection for Cognitive Radio Systems
Authors: Yang Yu , Ji Yan Li , Li Han Hui , Lei Du , Rui Meng
Published: September 2013

In this paper, we investigate the features of energy detection and cyclostationary feature detection for spectrum sensing. In order to combine their advantages, we propose an adaptive two-stage sensing scheme which performs spectrum sensing using an energy detector first in cognitive radio networks. Then in the second stage, this scheme decides whether or not to implement cyclostationary feature detection based on the sensing results of the first stage. On the premise of meeting a given constraint on the probability of false alarm, the goal of our proposed scheme is to optimize the probability of detection and sensing speed at the same time. In order to obtain the optimal detection thresholds, we can formulate the detection model as a nonlinear optimization problem. Furthermore, the simulation results show that the proposed scheme improves the performance of spectrum sensing compared with the ones where only energy detection or cyclostationary feature detection is performed.
The MUSIC Minimum Norm Method for Linear Polarized Array Parameter Estimation
Authors: Shi Yi Ran , Tian Yan Tao , Zhu Lan Xiang , Deng Li Fei
Published: September 2013

This paper used signal Cyclostationarity and MUSIC minimum norm method to estimate DOA and polarization parameters with linear polarization array. Cyclostationarity statistics have the advantage of limiting different frequencies of signal cycle stationary colored noise and inhibit both the minimum norm loop correlation function and estimation error. This paper also verifies the effectiveness of the method through simulation experiments.
A Novel Micro-Hotplate Designed for Micro-Gas Sensor
Authors: Li Ji , Zhang Xiao Bo , Liu Li
Published: September 2013

A original design of micro-hotplate is proposed for micro-structural gas sensor. The simulation results of ANSYS reveal that higher temperature and more uniform temperature distribution was achieved in the micro-hotplate when the thickness of SiO2, thickness of Si substrate, electrode width and electrode space were designed to be 100, 200, 20 and 250 μm, respectively. The new micro-hotplate is beneficial to improving the sensor sensitivity.
Hollow-Core Photonic Crystal Fiber Based on C2H2 and NH3 Gas Sensor
Authors: Wu Bao Qun , Lu Ying , Hao Cong Jing , Duan Liang Cheng , Luan Nan Nan , Zhao Zhi Qiang , Yao Jian Quan
Published: September 2013

In this paper, we propose a new hollow-core photonic crystal fiber, which can be available for gas sensor. In addition, properties of the fiber are analyzed at the wavelength of C2H2and NH3absorption peak 1530nm and 1967nm, respectively. For both wavelengths, relative sensitivity coefficients are higher than 0.95, which makes sense in gas sensing. We also get relationship between relative sensitivity coefficient and radius of fiber core, as well as effective refractive index of the mode field.
Design and Implementation of Digital Sensor Simulator
Authors: Wang Gai Fang , Fan Feng Feng , Xing Xi Tao , Wang Yong
Published: September 2013

With the rapid development of sensor technology recently, sensors have been applied to various fields for detecting object states, e.g. intelligent agriculture, intelligent power, intelligent city, the Internet of Things, etc., and have becoming more and more critical for dynamic data acquisition. Due to detection environment, detection technology, costs and other factors, access to actual sensors for developing or debugging a sensor application may cause additional costs and time. Meanwhile, testing new sensor applications and protocols needs appropriate feasible ways with low costs and short time. Therefore, it is fairly urgent for designing and developing a simulation environment of sensors and sensor applications. This paper parsed the general structure of digital sensors, and then designed domain-based high level architecture of digital sensor simulator. Finally, the prototype of digital sensor simulator was developed and demonstrated the proper performance. Results show that digital sensor simulator would provide an effective way for testing novel sensors and protocols and also play an important role for constituting sensor network simulation environment.
Machine Cutting Tool Condition Monitoring Method of Aeroplane Composite Material Processing
Authors: Liu Xiao Lin , Mu Chun Yu , Wang Jian Ting , Yuan Kun
Published: September 2013

Because that the wear of the machine cutting tool of the aeroplane composite material processing is difficult to be monitored, in this paper a monitoring method based on the cellular neural networks by the computer vision monitoring is proposed. The method uses the median filtering technology and the cellular neural networks for the image denoising and the edge detection. Then the degree of the tool wear is judged by calculating the wear characteristic value of the cutting tool. The experimental results show that the system is rational and effective.
Forward Modeling and Inversion of Direct Current Method for the Damaged Site Detection on the Anticorrosion Coating of Underground Metal Pipeline
Authors: Meng Xiang Jun , Liu Huai Shan , Zhang Xun Hua
Published: September 2013

Surveying the damaged site on anticorrosion coating of Underground metal pipeline is currently a realistic problem in pipe network construction projects, They are detected through artificial field source method (DC method), including Person method,potential test method,Close interval pipe-to-soil potential survey and Direct Current Voltage Gradient method, but the principle of detecting about electrical method rare mentioned, the article discusses the forward modeling and inversion method of Surveying the specific damaged site on anticorrosion coating of Underground metal pipeline by DC method in great detail, Through calculation and analysis, The authors believe that the DC method is effective in detecting the damaged site on anticorrosion coating of Underground metal pipeline.
Development for Management Information System of Resource-Oriented Science Research Institution Based on REST and AJAX
Authors: Yang Shu Yong , Zhao Zi Yue , Wang Xiao Xue , Xiao Cong
Published: September 2013

According to the importance of the management for the science research institution in a university, the management information system of resource-oriented science research institution based on REST and AJAX was developed. Firstly, the function module of the system was given from practice. Then, the system architecture was given, and the design was proposed in detail, including the resource, the database and the class. Finally, the interfaces of the client in the achieved system were given, and the implementation showed that the solution of the system is valid and feasible.
Temperature Detection Circuit System Research Based on Ultrasonic Phase Difference Method
Authors: Ren Si Yuan , Liu Shi
Published: September 2013

A set of temperature measuring system hardware circuits is presented and investigated regarding to static errors. The measurement accuracy of the system can be up to 1%in the industrial applications. In addition, this paper proposes a recommending method to select hardware equipment and this approach plays an important role in temperature measurement in industrial applications.
The Resonant Properties of AT-Cut Quartz Resonator and its Application
Authors: Chen Ping Cheng , Pan Chung Long
Published: September 2013

The applications of quartz for electric devices had been progressed for a long time. In the early period, the primary application of quartz is focused on the crystal resonator and filter1-4). The other important application of quartz is on the QCM(quartz crystal microbalance). The basic principle of QCM is based on the mass loading effect, which makes the resonator frequency shift and the mass loading is directly proportion to the shift of frequency. V.M.Mecea has shown the theory of mass loading and its applications5). For using quartz as microbalance or sensor, an electronic circuit for change the shift of frequency to electronic signal is necessarily. Unfortunate, another important influence of mass loading is the inharmonic mode appearance with large mass load and inconveniently for designs the electric circuit. So a pure fundamental mode resonator is expected for used the quartz as sensor devices.
Experimental Research on RFID Tag Implanted in Tire
Authors: Song Ting Qiang , Liu Wei Bo , Ma Lian Xiang
Published: September 2013

The performance of the RFID tag which was implanted into the tire was studied. The shape of implanted RFID antenna, package form and the process of RFID implantation were given. In the same time, experiments were carried out to test the performance of RFID tag which implanted into the tire. The results show that: the read distance is shorten after implanted in the tire, the sidewall of the tire is the idea position for RFID tag implantation, and it can achieve good performance by changing the structure of the RFID antenna and improving implantation process.
An Identity Authentication Scheme Based on Dynamic Password Technology
Authors: Jia Shi Zhun , Lin Jun , Feng Xiao Rong
Published: September 2013

With the development of mobile Internet, security problems have been greatly concerned. Identity authentication can be considered as the most basic one among various security problems. This paper proposed an improved identity authentication scheme based on dynamic password, where the idea of identity-based encryption and signature has been introduced in to ensure higher security level.
A New Line and Arc Interpolation Algorithm Based on the Speed Control
Authors: Qiu Shi Shi , Ma Guo Jin , Wu Zhan Xiong , Lou Jia Xiang
Published: September 2013

AC servo controller have the characters of precise position control and fast response, which makes itself promising in the application of numerical control machine. A new line and arc interpolation algorithm is proposed in this paper, which controls the stepping size of z axis by orthogonal decomposition given the stepping size of x axis.The algorithm has the advantages of high interpolation speed. At last, an experiment is conducted to verify the algorithm.
The Intelligent Temperature Control System of Excavator Operating Room
Authors: Chen Hai Hong , Chen Qian Lin , Zhou Qian
Published: September 2013

The structure, the function and properties of the intelligent temperature control system of the excavator operating room are introduced in this paper. STC90C516RD+ microcontroller is used as the core controller of the hardware circuit. Firstly, based on the working environment, research is done on the anti-jamming performance of the hardware in the system. Secondly, the software is designed and the process of the PID control is introduced.
A Research on A New Type of Intelligent Home Control System
Authors: Yang Guo Wei , Zhang Zhao , Zhang Xiao Feng
Published: September 2013

This Paper Puts Forward a New Solution in Terms of Humanized Design---the Combination of Control Method between Speech Recognition and GSM Remote Control System.People can Not only Apply Speaker-Independent Speech Recognition Technology to Control Domestic Appliances and Light System Indoors, but also use GSM Remote Control Technology to Achieve Intelligent Control of Domestic Appliances Outdoors. through a Corresponding Command which will be Processed by the LD3320 Speech Recognition, the System Delivers the Returning Identifier to the STM32 Chip, and STM32 will Control the Domestic Appliances. when Users Outdoors, they can Call Target Phone Number through the Cell Phone to Realize Intelligent Control of Domestic Appliances. this System has the Advantages of High Recognition Rate and Good Stability. the Market Prospect is also Considerable.
Optimal PI Controller Tuning Based on ITAE Criterion for Low-Order Systems with Large Time Delay
Authors: Pan Feng Ping , Liao Hong Kai , Luo Jia , Zhang Xi
Published: September 2013

For low order process with large time delay, a kind of optimal PI controller tuning method is proposed based on generalized Hermite-Biehler theorem and Genetic Algorithm. Firstly, the stable region of PI controller is obtained by using the generalized Hermite-Biehler theorem. Then the optimum parameters are selected from this region based on ITAE criterion and genetic algorithm. A tuning formula is obtained by nonlinear fitting of optimization result, which has the capability to cover the variety of normalized time delays up to 100. Simulation of Monte-Carlo stochastic experiment indicates that the proposed method has good performance robustness when parameter uncertainty occurs, compared with other four PI tuning methods.
A Model of LBS Privacy Protection Based on Collaboration
Authors: Li Su Duo , Huang Jing Lian , Li Ying Xing , Deng Jing Wei , Deng Kai Ying
Published: September 2013

How to protect users privacy effectively while providing location based service (LBS) is a very important study of the mobile Internet. Where location k-anonymity algorithm is the most commonly used algorithm at present. However the algorithm also has some disadvantages. Therefore, this paper presents a model of LBS privacy protection based on collaboration. It divides a location-based query into two parts and sends to two entities separately. One is the location cloaking server (LCS) which calculates k-anonymous locations, and the other is location service provider (LSP) which implements the query. Except the user none of the servers could have the complete query information. By this way it protects the users privacy very well. The algorithm partly solved the problems existing in the traditional k-anonymity algorithm, and the algorithms performance was significantly increased.
Research on Construction of Campus Water Control System Based on CPU Card
Authors: Zhang Hui Lin , Sun Guo Guang , Tong Qiu Li
Published: September 2013

This paper introduces the application features and two consumption patterns of CPU card, analyzes the characteristics of campus water control applications, details three modes of water control system, online mode, offline mode and offline data acquisition mode, and describes the application model and system functions of the water control system under the offline data acquisition mode.
Analysis and Research of Extrapolation Accuracy with Interpolation Model Based on Network RTK
Authors: Deng Ji An , Cheng Xiao Bing
Published: September 2013

In network RTK the models extrapolation accuracy of spatial error is directly related to RTK position validity and reliability. So the extrapolation accuracy of coordinate linear interpolation model and distance linear interpolation model are studied in this paper. Firstly, according to the root mean square of interpolation coefficient of model and the law of errors propagation, two models stability and the factors which affected the extrapolation accuracy are analyzed from the relationship of the models linear function. Secondly, in different areas out of net the change regularity of extrapolation error is further discussed with types of data in different length baselines. The result shows that extrapolation accuracy of the above model are related to the net shape of network RTK, the estimation precision of the comprehensive error that exists between reference stations, and the distance that rover is away from the net. The extrapolation accuracy of the coordinate linear interpolation model is better than the distance linear interpolation model. In the areas that not more than 40km to the net external it can be reached within 5cm estimation accuracy of the extrapolation comprehensive error. It is helpful to rapid high-precision position out of the network.
Runway Utilization Analysis Based on the Stochastic Petri Net Model
Authors: Jiang Gao Yang , Wang Jie Ning , Zhang Chun Feng , Dong Mei
Published: September 2013

Runway utilization is one of the key indicators of airport operational efficiency. Firstly, stochastic Petri net was introduced to built runway system operational model, and then we analyzed the reachability graph of this model, which not only prove the reachability and boundedness of this model, but also can be used to transform to homogeneous Markov chain. Secondly, The system steady-state probability expressions in various states were established based on the homogeneous Markov chain. Thirdly, runway utilization was calculated based on the steady-state probability expressions. During simulation, runway utilizations in various conditions were analyzed by changing some transitions fire rate. Both Markov chain method and petri net simulation method are useful for runway utilization improvement.
Ontology-Based Semantic Similarity Measure with Concept Lattice
Authors: Song Hua Zhu , Xiao Cong , Xu Lu
Published: September 2013

Semantic similarity measure has always been one of the important contents in artificial intelligence. This paper puts the ontology as the research object, and measure the semantic similarity between two ontologies in view of concept lattice. Firstly, concept lattice is introduced to similarity measure, and the thought of the ontology-based semantic similarity measure with concept lattice was given. Next, the solution of the measure was described, which includes generating a formal context of heterogeneous ontologies, constructing the corresponding formal context of formal context to fetch the formal context in concept lattice, and using irreducible infimum theory to calculate the similarity value of heterogeneous ontology concept. Finally, we employed a sample to verify the measure method. The results showed the method can effectively compute the semantic similarity between the ontologies, and the method proposed is valid and feasible.
A New Type of Proportion Cycle Temperature Control Algorithm
Authors: He Ai Xiang , Zhang Hai Ning , Zhang Meng Ke
Published: September 2013

A new type of proportion cycle temperature control algorithm is proposed in this paper. Controller can automatically identify temperature constant related to the heater power, combined with the real time environmental temperature change, dynamically modify the heating and cooling time, controlled volatility in setting temperature range.When the mutant short time ambient temperature occurs, it can make rapid response, so as to achieve better control effect.
Neural Networks Control of the Ni-MH Power Battery Positive Mill Thickness
Authors: Ma Guang Jun , Wu Shuo , Cai Guang Qi
Published: September 2013

This paper analyzes the process and control of nanohydrogen storage alloy strip rolling. We design a nonlinear model of rolling mill, use the neural network control scheme, and we adopt the rolling process of mathematical modeling, and use the model of the mathematical method in quantitative analysis. Finally, we use the system of computer simulation, at the end we draw the following conclusions. In strip rolling process, using a neural network system for control, far superior to the introduction of PI control, not only solved the rolling process with variable delay and variable gain and other shortcomings, and that the hydrogen storage alloy electrochemical performance was improved, the production process to ensure the high quality of hydrogen storage alloy, reducing energy consumption, saving raw materials, reduce the labor intensity of operating staff is of great significance.
Algorithm Evolution from Traveling Salesman Problem to Vehicle Routing Problem
Authors: Zhang Zhe , Yao Yong Song , Zhang Jian Hua
Published: September 2013

The paper introduces the Multi-parameter Multi-objective Algorithm, it be used to apply a logistics management project of the China National Natural Science Foundation. This paper from the two math problems TSP and VRP talked about, and then introduces the two different algorithm and feature; the former is the ant colony algorithm in modern intelligent bionics using it to solve the TSP, latter is its improved algorithm, Multi-parameter Multi-objective Algorithm, using it to solve the VRP. The "bionic computing intelligent logistics management system" is based on this Algorithm. Later it introduces how to adopt different working process oriented, handle customer request, in the management system, the differences between the original algorithm and the evolution algorithm.
Study on the Manufacturing Resource Classify Based on Features
Authors: Zhao Chang Long
Published: September 2013

The effective classification of manufacturing resources is the premise of the manufacturing resource modeling and is the important part of virtual manufacturing. In this paper, the hybrid clustering algorithm based on genetic algorithm and genetic Fuzzy C-Means is proposed to cluster the machine tools and the features which the machine tool can processed are regarded as the grouping principle. By this means, the optimum number of optimal cluster and the optimal clusters can be obtained at the same time dynamically. The manufaturing resource clustering can provide information support for the manufacturing resources modeling and manufacturability evaluation and reduce the searching space of processing equipments.
Neighborhood Search Heuristic for 2-Machine Flowshop Scheduling Problem with Limited Waiting Times
Authors: Wang Bai Lin , Li Tie Ke , Ge Heng Bo
Published: September 2013

The flowshop scheduling problem with limited waiting time constraints widely exists in the production process featured by high temperature and continuity. The constraints require that the waiting time of any job between two consecutive machines is not greater than a given upper bound. In this paper, the problem with two-machine settings and the objective of makespan is studied. First, a lower bound and some characters of minimum makespan are analyzed. Further, a solving idea is suggested by a transformation into an asymmetry TSP. Based on these characteristics and the solving idea, a neighborhood search algorithm embedding a modified Lin-Kernighan heuristic is presented for the problem. Numerical results demonstrated the effectiveness and efficiency of the algorithm.
Attribute Reduction Algorithm on Balancing Profit and Risk
Authors: Wang De Xing , Xu Jie Long , Zhang Yun
Published: September 2013

Usually it is taken grant that we achieve the maximal profit and the minimal risk in industry, agriculture, economic activities and social life. It is an important problem in a decision-making process on how to balance profit and risk and find out practical decision-making ways. This paper builds a decision-theoretic model which can balance profit and risk and provide a heuristic search algorithm of the attribute reduction. This algorithm takes the profit and cost as the heuristic function and outputs an optimal attribute set. At last, the example shows that the proposed algorithm is correct and efficient.
Solving Timetabling Problem Using A Co-Operative Co-Evolution Multi-Objective Genetic Algorithm
Authors: Sangsuwan Phakawadee , Sornil Ohm
Published: September 2013

Timetabling problem is important for efficient allocations of resources. University timetabling is to allocate a weekly schedule for instructors and students under a number of requirements and constraints. This paper purposes a solution based on a co-operative co-evolution multi-objective genetic algorithm (CCMOGA). The idea is to split the complexity into several simpler parts and co-operatively evolve them. Two definitions of chromosomes are studied: instructor-based and student-based. Experimental results with an actual situation show that the proposed method is able to give effective solutions, and the chromosome definition based on students yields higher quality schedules than does the definition based on instructors.
Research on Neural Networks Used in Parallel Computing
Authors: Cheng Liang
Published: September 2013

The parallel programming approaches were in the focus of research efforts due to an expected increase in efficiency of iterative processing in the parallel computational environment. On this end the parallel evolutionary asymmetric subset-hood product fuzzy-neural inference system has been developed to take advantage of parallelization in message passing. This paper study the structure of the neural network and the time series forecasting with neural network, the results could help us to obtain the optimal solutions to higher complexity of the problem.
An AHP-Based Fuzzy Approach for Evaluation of Index System on Coordinated Development of Ethnic Regions in China
Authors: Li Peng
Published: September 2013

in this paper, we analyzed three dimensional evaluation index systems on coordinated development of ethnic regions in China. The analysis was conducted by means of an AHP-based Fuzzy Approach which builds a system analysis technique for multiple criteria decision making,and by Biological carrying capacity, Economic carrying capacity and Social carrying capacity.The result show that evaluation index system based on Fuzzy AHP Algorithm in ethnic regions has good reliability.
A Negative Selection Algorithm Base on the Self R-Tree
Authors: Wang Kun Peng
Published: September 2013

In this article, we present a new negative selection algorithm which the self-data is organized as a R-Tree structure. And the negative selection process could be transformed into the data query process in the self-R-Tree, if a new detector is indexed in any leaf node it will be dropped. As the time complexity of data query process in the tree is in the log level, the negative selection process of our algorithm is superior to the linearly comparation procedure in the traditional negative selection algorithms.
Development Research on the Expert System for the Binary Tree-Based Apple Disease Diagnosis
Authors: Qiu Yun , Fan Jing Chao , Zhou Guo Min
Published: September 2013

In numerous agricultural information technologies, the agricultural knowledge system has become an important part of the agricultural intelligent information technology (AIIT). This paper introduces the development process of the accomplishment of the expert system for the apple disease diagnosis by use of the binary tree-based knowledge editor.
Prediction Modeling Method of Interval Grey Number Based on Different Type Whitenization Weight Functions
Authors: Zhao Lian Ming , Zeng Bo
Published: September 2013

The modeling objects of existing prediction models for interval grey number are limited to the interval grey number sequences with unknown or the same type of whitenization weight function. Therefore, the existing methods are useless when the types of whitenization weight function of interval grey number in the modeling sequence are heterogeneous. On the basis of the existing prediction models for interval grey number and according to the axiom of undecreased degree of greyness and grey number, the present paper build a prediction model for interval grey number based on different types of whitenization weight functions through expanding the calculation of "kernel and grey degree" of the interval grey number. At last, this model was applied in forecasting the demand for emergency materials in disaster. The research results are significant for enriching and perfecting the grey prediction model theory system, and extending the applied scope of grey models and promoting the effective association of the grey theory and the practical issues.
An Approach Based on Generic Label Correcting Algorithm for Supply Chain Modeling
Authors: Geng Xiao Qing , Wang Yu
Published: September 2013

In this paper, the rough set theory is applied to reduce the complexity of data space and to induct decision rules. It proposes the generic label correcting (GLC) algorithm incorporated with the decision rules to solve supply chain modeling problems. This proposed approach is agile because by combining various operators and comparators, different types of paths in the reduced networks can be solved with one algorithm.
Predication of Sunspot Number Based on Parallel Process Neural Networks
Authors: Gao Yan , Yu Tie Cheng , Li Zhi , Li Yun Jiang , Li Xin
Published: September 2013

To solve prediction of sunspot number, a parallel process neural networks model is proposed in this paper, Firstly, by dividing the whole time-varying process into several small time intervals, the process neural networks are constructed in these small time intervals, which may disperse the load of networks. Then, employing the orthogonal basis expansion in functional space, the learning algorithm of the above-mentioned model is designed. The experimental results of time series predication of sunspots show that the proposed method has great potential for complicated nonlinear time series prediction.
Model and Algorithm of QGA-Based Process Neural Network
Authors: Li Yun Jiang , Li Zhi , Liu Dan Yang , Yu Tie Cheng , Li Xin
Published: September 2013

To enhance the approximation ability of process neural networks, a novel training algorithm is proposed by employing an improved quantum genetic algorithm. The proposed approach is applied to the training of process neural networks. The number of genes in a single chromosome is equal to the number of weight parameters. Taking each qubit in the current optimal chromosome as the goal, all individuals are updated by quantum rotation gate. In this method, each chromosome has three chains of genes, which can accelerate convergence. Taking the pattern classification of trigonometric functions as an example, the experimental results show that the proposed method is obviously superior to the common process neural networks.
The Learning Algorithms of Coupled Discrete Hidden Markov Models
Authors: Du Shi Ping , Wang Jian , Wei Yu Ming
Published: September 2013

A hidden Markov model (HMM) encompasses a large class of stochastic process models and has been successfully applied to a number of scientific and engineering problems, including speech and other pattern recognition problems, and biological sequence analysis. A major restriction is found, however, in conventional HMM, i.e., it is ill-suited to capture the interactions among different models. A variety of coupled hidden Markov models (CHMMs) have recently been proposed as extensions of HMM to better characterize multiple interdependent sequences. The resulting models have multiple state variables that are temporally coupled via matrices of conditional probabilities. This paper study is focused on the coupled discrete HMM, there are two state variables in the network. By generalizing forward-backward algorithm, Viterbi algorithm and Baum-Welch algorithm commonly used in conventional HMM to accommodate two state variables, several new formulae solving the 2-chain coupled discrete HMM probability evaluation, decoding and training problem are theoretically derived.
Synthetical Efficient Ordering Method for Group Multiobjective Decision Marking
Authors: Yang Wan Quan , Wen Shui Gen
Published: September 2013

A synthetical efficient mapping from individual preferences to group preference isconstructed in this paper by means of group synthetical efficient number of alternatives.Based onsome fundamental properties of mapping ,a method of synthetical efficient ordering alternative for group multiobjective decision making in given .