bluuebunny/crossref_metadata_2025 huggingface dataset:
A Novel Similarity Measure Based on Weighted Bipartite Network for Collaborative Filtering Recommendation
Authors: Xia Jian Xun , Wu Fei , Xie Chang Sheng
Published: December 2012

This paper presents a novel approach to compute user similarity based on weighted bipartite network and resource allocation principle for collaborative filtering recommendation. The key is to calculate the asymmetric user weighted matrix and translate it into a symmetric user similarity matrix. We carry out extensive experiments over Movielens data set and demonstrate that the proposed approach can yield better recommendation accuracy and can partly to alleviate the trouble of sparseness. Compare with traditional collaborative filtering recommendation algorithms based on Pearson correlation similarity and adjusted cosine similarity, the proposed method can improve the average predication accuracy by 6.7% and 0.6% respectively.
A Design Method for IIR and FIR Digital Notch Filter Used to sEMG
Authors: Li Lin , Wang Jian Hui , Ban Shuai
Published: December 2012

Surface electromyography (sEMG) signals, a non-invasive bioelectric signal, can be used for the rehabilitation and control of artificial extremities. But this signal is so weak that the electrical voltages ranging from -5 to +5 mv. In order to eliminate the 50Hz noise included in sEMG and hold details of the signal, IIR50HZ notch filter and FIR 50Hz notch filter are design. The compared simulation results show that the application of FIR 50Hz is better than IIR 50Hz in sEMG patter recognition system.
Design and Implementation of Point Symbol Database Based on ArcGIS Engine
Authors: Wang Mao Lin , Xu Ai Jun
Published: December 2012

In this article, geometric primitive approach is used to realize the design and development of point symbol database for mapping based on C# .NET and ArcGIS Engine. This paper presents the design framework and the design process of point symbol database, and studies design method and attribute management of point symbol, especially the design of point symbol attribute of word type of TrueType, which makes conveniently the point symbol for special map users needed.
Convolutive Blind Source Separation Applied to the Communication Signals
Authors: Sun Xiu Ying , Xu Peng Fei
Published: December 2012

In this paper, a method for convolutive blind separation for communication sources is introduced. The method works in time-domain, and it is based on the recently very successful algorithm EFICA for Independent Component Analysis, which is an enhanced version of more famous FastICA. In addition, an automatic method of wavelet de-noising processing is proposed, using the 'mini-maxi' soft-threshold model, wavelet decomposition is performed at level 5 for the noisy separated communication signal, it can improve the performance of BSS system, and this is confirmed in the experiment for communication signals with same carrier frequencies and modulation.
Numerical Simulation Study on Longitudinal Aerodynamic Characteristics of a Forward-Swept Wing Air Vehicle
Authors: Liu Yan Chun , Xu Zhen Dong , Li Ming
Published: December 2012

In this paper, a new type of air vehicle with forward-swept wing was described. Its subsonic aerodynamic characteristics was calculated using FLUENT in terms of structured grids which were generated by GRIDGEN, finally its subsonic characteristics was analyzed. The methods and results expected are of positive significance to our future design on both civil and military air vehicle with forward-swept wing .
Research on Planning Approval Data Interoperation Implementation between AutoCAD and ArcSDE
Authors: Zou Yan Hong , Xi Wen Feng
Published: December 2012

In planning approval field, AutoCAD data format is used widely, for it is convenient to map.However, for massive planning approval data, it is difficult to query the corresponding spatial and attribute characteristics by AutoCAD files. While ArcSDE can unifiedly manange spatial and attribute data, whose strong database management is inherited from relational database. To address planning approval field interoperation problem between AutoCAD and ArcSDE in planning approval data management system, we took redevelopment from AutoCAD to ArcSDE database based on C#.Net and Object SDK. The data could be operated by Down-Load and Up-Load module in the system. Down-Load module was developed to load planning data from ArcSDE to AutoCAD, Up-Load module was to store AutoCAD format data into ArcSDE.As a case study,the modules were integrated into the Planning Approval Data Management System for Yueyang city and the data interoperation was very fast and easy between AutoCAD and ArcSDE+SQL Server 2008. The results show that the implemented interoperation function is convenient for planning approval data management.
Xdata of AutoCAD and its Application in Planning Approval
Authors: Liu Xing Quan , Tang Miao
Published: December 2012

AutoCAD is a wildly used software in kinds of industries, while the depth of its’ applications is limited by its weakness on attribute data management. This paper commences with the introduction of AutoCAD xdata, discusses the way to input, output and modify the xdata, and represents the key code in C#. Finally, this paper probes into both the application process and application characteristics of xdata by demonstrating the example of planning approval.
Parallel Processing and Performance Optimization of Meteorological Satellite Mass-Data Program
Authors: Yin Xiao Hui , Gao Peng Dong , Qiu Chu , Lu Yong Quan
Published: December 2012

We implemented parallel processing of polar-orbiting meteorological satellite MERSI data aerosol retrieval program. The parallel implementation was based on Linux cluster architecture. The master-slave parallel programming mode on MPI parallel environment was applied. Performance optimizations are made in load balance, communication overhead, storage and system I/O according to the specific environment. In addition, parallel speed-up ratio and efficiency were analyzed to evaluate the experiment results. Experimental results demonstrate that the parallel techniques and the performance optimization methods proposed here can significantly improve the efficiency of satellite mass-data processing program.
An Approach for Data Warehouse Based on Grid
Authors: Xu Ren Feng , Zhu Ding Ju
Published: December 2012

Grid based data warehouse (GDW) distinguishes itself from other data warehouses based on single computer, parallel computer, cluster, or distributed network due to the characteristics of the grid environment. This article proposes an approach for GDW. GDW approach is good at adapting different hardware platforms and bottom databases by making full exploitation of the heterogeneity and transparency of the grid .
Analysis on Integrated-Control Information System of Smart Substation
Authors: Huang Li , Li Wei Liang , Chen Lu , Yang Yong Biao , Hu Chan Chan
Published: December 2012

Based on the introduction of smart substation function architecture, the analysis method of use case was firstly recommended to study the main business information system of smart substation, involving protective relaying and automatic control. During analysis, demand of information interaction in lengthwise and crosswise direction and limits of the existing system was pointed out. Then in guide of system theory, control theory and information theory, integrated-control idea was proposed to improve the existing control system framework, the integration-control model and system architecture were analyzed. Finally, the project application of yan’an was given.
Integrating Information Resources and Public Information Data Center
Authors: Ouyang Zhong Hui , Zhang Jia
Published: December 2012

The Quanzhou Municipal government in the E-government constructed has made considerable progress, but information resources between institutions in various departments and utilization are still relatively weak. Thus it has initiated “the information isolated island” and repetitive construction phenomenon. This article proposed that the construction government public information data center, information on various departments for effective integration is optimized to achieve sharing of information resources and improve utilization of government resources, to promote the overall effectiveness of the informationization construction.
Software Test Data Generation for Multiple Paths Based on Genetic Algorithms
Authors: Peng Ye Ping , Zeng Bi
Published: December 2012

Software testing is the assurance of the quality of software, and it is an important step during software development. One of the many studies is the automation of test data generation, and this paper presents test data generation with multiple target paths by using the improved genetic algorithm. According to the features and requirements of multiple paths coverage, fitness function based on path-match was used. Finally, benchmark programs were tested to verify the efficiency of the improved GA. The experiments results show that the proposed approach can improve the efficiency of test data generation effectively.
A Semi-Fragile Watermark Algorithm of H.264 to Protect DCT Using Matrix
Authors: Zhou Tong
Published: December 2012

This paper introduces a digital watermark algorithm based on H.264. This algorithm controls the DCT coefficients for 4X4 block to resist the attack. Through the experiment results, under the condition of no obvious increase in complexity and no obvious change of PSNR, BITRATE changes in less than 5%.The attack on level can be 98% detected with omission factor under 2% and no fallout ratio.
Real-Time Video Quality Assessment Methods Based on No-Reference for Video Conference System
Authors: Liang Mei Yuan , Zhang Xin Chen , Chen Qian
Published: December 2012

After a deep investigation on the performance measure of the video conference and the video quality assessment methods, the whole plan of video quality assessment (VQA) for video conference system is proposed. Without reference video source, a novel No-Reference (NR) VQA method based on both the coding layer information and the packet layer transmission performance is introduced. The experimental result shows that the proposed method can obtain the dependable score which close to the subjective assessment.
The Application of Clustering Analysis in Medical Expenses Data Mining
Authors: Shen Pei , Zhang Ji Kai , Hua Hai Ying
Published: December 2012

Find a pretreatment method to transform the continuous dependent variable into categorical variable to get more reasonable result in the medical expenses data mining. As a good pretreatment method of data mining, the clustering analysis shows good applicability.
Construction of the Public Emergency Service Geographic Information Platform
Authors: Zhu Yi , Gao Shan
Published: December 2012

Emergency geographic information service is based on all kinds of spatial information, and it is used for scientific dynamic analysis, judgment, forecast and risk assessment of emergency events. It is as the ‘console’ of the whole emergency command platform decision-making and it is also the presupposition and basis to realize the emergency management, emergency decision-making, command and space planning. This paper first analyzes the development tendency of emergency geographic information service platform at home and abroad, then introduces the software architecture and technology system of emergency geographic information service platform. It focuses on the emergency 3D moving target management, emergency information integration fusion, emergency information service management, and other key technologies.
Modeling Study of Drilling Engineering Cooperative Design Based on Workflow
Authors: Wang Liu Peng , Li Qi , Pan Wan Min
Published: December 2012

Drilling construction quality is closely related with drilling engineering design level, however, drilling engineering design includes multi different professional fields such as geology, reservoir and drilling engineering and so on, and optimization design needs people’s cooperative work from different specialties and sections. Today drilling engineering design is usually completed by relevant staffs in isolation, and then drilling engineering planning report is generated by collection. In this process of design, there are lots of problems, such as lack of formation interaction, long design period, and inadequate capability to meet the high efficiency of optimization requirements. In this paper the model of drilling engineering cooperative design based on workflow is put forward, and by using computer workflow technology, planning automatic design workflow and providing cooperative work environment for people in different specialties and fields, it can satisfy the need for information sharing during design process, improve design efficiency, and provide support for drilling optimization design. The multi-user cooperative model and workflow management model of drilling engineering design is detailed in this paper.
Research on Platform Simulation Based on KVM for Ship Electronic Information System
Authors: Wu Ding Gang
Published: December 2012

Virtualization technology has developed very quickly. It can effectively improve the utilization of resources, and improve ability of resource management and control. It introduces the concept and classification of virtualization technology. And highlights the development process and the technical advantages of KVM virtualization technology. In accordance with the characteristic of ship electronic information system, analyzes the requirements of information running platform, completes the simulation of running platform for ship electronic information system by KVM, describes the simulation framework of ship electronic information system based on the KVM machine., controls and distributes the resource of platform, achieves the distribution and management unified of running Platform.
Study on GNSS Time Reference System and its Traceability
Authors: Dong Shao Wu
Published: December 2012

This paper introduces briefly international standard time scale---theCoordinated Universal Time (UTC) and its realization, the time references and their traceability of Global Navigation Satellite System (GNSS). GNSS is based on precision time measurement, an uniform internal time reference is necessary to ensure all parts in a GNSS run synchronously. All GNSS system have precision time reference systems, at the same time, it is necessary that the time reference should be traced to the international legal time standard, UTC, to ensure global time synchronous and uniform, it can be realized by establishing time comparison link with national time standard. A possible solution of GNSS time reference and its traceability for COMPASS is discussed.
The Rendering System Planning of the 3D Fashion Design and Store Display Based on Cloud Computing
Authors: Wang Sen Hua , Li Xiang Zhong , Zhang Li
Published: December 2012

Along with the continuous development of the social economy and living standard, the expectation which people treat the products of clothing become more and more high. In this paper, the cloud computing was adopted to further enhance the support for the design and sale of the clothing. Through the analysis of the design ideas for 3d fashion design and visual store, a 3d design cloud platform with best visual display effect was constructed. Besides, aiming at the 3d animatic content in the fashion design and visual store, the high- performance rendering cluster system was planned to support the function. Multiple computers were utilized to render one scene file in union. During the rendering, the cluster were supervised and controlled to render the sequencing frame of the movies or images. After later synthesis, the final animation was finished and the rendering results were stored.
Research on Hospital Information System Function Analysis and Implementation Based on B/S Mode
Authors: Tan Yi , Cao Hong , Cao Yan , Yang Yan Li
Published: December 2012

Hospital Information System (HIS) is the application of computer technology, communication technology and management science to hospital information management. The significance, status and problems of HIS in China are analyzed. Then, a HIS architecture is designed that is divided into five sub-systems, namely, clinic sub-system, inpatient sub-system, medicine sub-system, inspection sub-system and management sub-system. Finally, its B/S structure and distributed mode are presented. Using HIS can strengthen hospital management and improve medical treatment quality.
Static Strength Analysis on Bus Body Frame Based on I-DEAS Software
Authors: Chen Yuan Hua , Wang Guo Fu
Published: December 2012

On the basis of the established finite element model, the strength and stiffness of structure of bus body frame were analyzed under working conditions of bending and twisting in static state. The nodes of maximum stress and maximum displacement were identified, which could provide a reliable basis for follow-up lightweight structural optimization designs.
A Feature-Preserving Hole Filling Algorithm in Reverse Engineering
Authors: Gao Ying , Wang Rui Zhao , Ji Ping Xin
Published: December 2012

To get complete and accurate triangular mesh model in reverse engineering, the hole-filling operation is indispensable. This paper presents a new feature preserving hole-filling algorithm based on the feature line extraction. Firstly, the hole and its neighborhood were obtained. Then, the feature lines in the hole region were extracted which were used to divided the hole to several single surface holes. To each hole, triangulation and subdivision were performed. Finally, the new added vertices in the hole were moved to the underlying surface which was approximated by the hole neighborhood. The experimental results demonstrate that our mesh hole-filling algorithm can effectively recover the original shape of the hole.
Detection of Video Shot Changes Based on Image Matching
Authors: Yao Zong Guo , Qin Min , Wang Guan , Li Jin Ping
Published: December 2012

In order to improve the supervision of TV commercials and reduce the illegal ones, it is necessary to develop a system to detect TV commercials in real time. One of the key points is to detect video shot changes. We put forward a novel method of image matching for shot change detection: firstly, a feature coding is introduced for describing image local gray level distribution; secondly, image matching is performed according to the feature coding; thirdly, shot changes can be detected. A preliminary system of video shot change detection is developed. Experiments show that the algorithm is better than traditional algorithms and can well meet the need of TV Video shot cut detection.
A Data Capture Technique at the Application Layer
Authors: Yang Zhao Hong , Yuan Jianwei , Liu Hai Yan , Wang Wei Feng
Published: December 2012

Data capture system gathers network packets, documents and operation records generated in training and experimental process of information system, which provides data support for the simulation of the information systems, analysis and experimental evaluation. This paper first analyzes and compares existing data acquisition technologies, then proposes a data acquisition technique using API intercepted, the dynamic library hijacked and database triggers. This method has the advantages of high efficiency and no packet loss, and has been successfully applied to data capture in the training of a large information system.
Effective Analysis of Infrared Aircraft Edge Detection Based on Structure Elements and Image Edge Segmentation Algorithm
Authors: Ye Jian Feng
Published: December 2012

According to the optical theodolite shooting infrared aircraft digital image, this paper discusses influences of different types of structural elements on edge detection, through the experiment, aircraft edge detection effects plays a role in determining the structural elements of the radius and the style founded on, the advantages and disadvantages of Image Edge Segmentation Algorithm are analyzed. The test results show that: the use of morphological image processing method can effectively restrain the noise. Structure type and the radius selection can effectively detect infrared aircraft edge and guarantee the attitude measurement precision.
Feature Selection by Applying Parallel Collaborative Evolutionary GA
Authors: Qu Zhi Cheng , Yang Qin , Jiang Bin
Published: December 2012

Feature selection is one of the important topics in text classification. However, most of existing feature selection methods are serial and inefficient to be applied to massive text data sets. In this paper, a feature selection method based on parallel collaborative evolutionary genetic algorithm is presented. The presented method uses genetic algorithm to select feature subsets and takes advantage of parallel collaborative evolution to enhance time efficiency, so it can quickly acquire the feature subsets which are more representative. The experimental results show that: For macro-average and micro-average , the presented method is better than three classical methods: Information Gain、x2 Statistics、 Mutual Information. For the consumed time, the presented method with a CPU is inferior to the above mentioned three methods, but the presented method is superior after using the parallel strategy.
Least-Squares Halftoning Algorithm Based on Image Segmentation
Authors: He Zi Fen , Zhan Zhao Lin , Zhang Yin Hui
Published: December 2012

This work presents a method based on the image content for digital halftoning using K-means clustering theory. Our algorithm applies to both a printer model and a model for the human visual system (HVS). The method strives to minimize the perceived error between the continuous original image and the halftone image. First, the gray image is partitioned into two, three and four regions using K-means image segmentation method, whose performance depends on the selection of distance metrics. Next, the statistics of average gray value of each clustering is calculated. Each clustering uses the least-squares model-based(Lsmb) algorithm to obtain halftone image. Finally, analysis and simulation results show that the proposed algorithm produces better gray-scale halftone image quality when we increase the number of clustering with a certain range. A performance measure for halftone images is used to evaluate our algorithm. The value of MSEv, WSNR and PSNR for two partitions is almost the same as that of the Lsmb algorithm, but for three and four partitions that the proposed algorithm achieves consistently better values of MSEv, WSNR and PSNR than the Lsmb algorithm.
Research of Port Dispatching System Based on Petri Net and Heurist Algorithm
Authors: Zhong Zu Feng
Published: December 2012

This paper selects the main factors that affect the production efficiency of a container terminal. And its performance analysis is presented using Petri net and heurist algorithm on the basis of analysis of port’s dispatching in logistics system. Transportation route model of port’s dispatching system is set up based on Petri Net, and optimizing of system based on A* algorithm performance is carried out. It shows that this model can increase the overall terminal system efficiency at a greater extent, improve terminal equipment’ utilization and reduce idleness effectively
Research on a Certain Missile Reliability Based on Fuzzy FTA Method
Authors: Zhang Xin Hui , Yuan Xiaomei , Liu Tao , Zhang Qing
Published: December 2012

Traditional reliability analysis is based on probability statistics. However, it is very difficult to collect firsthand enough and accurate data in practical work. In reliability analysis, sometimes we need to estimate the probability of system fault but do not necessarily use exact value to express the probability. In this paper, the author will adopt fault tree, analyze the failure rate of specific parts of a certain missile so as to fuzzify it by the fuzzy theory and calculate the fuzzy operator, find out the fuzzy probability of missile fault, and then forecast and analyze the reliability of missile based on the above result.
The Application of Improved DES Algorithm in Moblie Monitoring
Authors: Li Hong Fang , Yang Ling Jun , Cao San Xing
Published: December 2012

In cryptography, the DES algorithm is known to be advantageous by utilizing the mechanisms of grouping and symmetric private key. The algorithm is critical in the field of encryption. It is adaptive to various applications for encryption in many different systems, especially in the embedded system of Internet of Things (IOT) and the Next-generation Convergence Networks. In this paper, an improved scheme is presented in order to overcome the easily attacked shortcomings. This method is to improve the complexity of encryption key in the process and thus to enhance the ability in resisting attacks, so that we use two keys to crosswise encrypt and the safety of the algorithm is further strengthened. In this paper, the improved algorithm is applied in smartphone-based monitoring of broadcasting transmission systems, so as to realize the transmission of data encryption functions.
Application of Constraint CMA Blind Equalization Algorithm in the Medical Image Restoration
Authors: Zhang Jin , Mao Ya Jie , Zhang Li Yi , Sun Yun Shan
Published: December 2012

A constraint constant module blind equalization algorithm for medical image based on dimension reduction was proposed. The constant modulus cost function applied to medical image was founded. In order to improve the effect of image restoration, a constraint item was introduced to restrict cost function, and it guarantees that the algorithm converge the optimal solution. Compared to the traditional methods, the novel algorithm improves peak signal to noise ratio and restoration effects. Computer simulations demonstrate the effectiveness of the algorithm.
Determination of Sulfonamides in Synthetic Samples and Pharmaceutical Tablets Using HPLC-DAD Combined with SWATLD Algorithm
Authors: Sun Jian Qi
Published: December 2012

The overlapping chromatograms and spectra of sulfonamides, sulfadiazine (SD) and sulfamethoxazole (SM) in both synthetic samples and pharmaceutical tablets in the presence of uncalibrated and interfering sulfanilamide (SN) were resolved by HPLC-DAD combined with SWATLD algorithm. The elution time was set from1.077 min to 1.624 min and the detection wavelength was chosen from 230 nm to 316 nm. The recoveries of SD and SM were (98.1 ± 4.8)% and (100.1 ± 1.6)%, respectively. The satisfying results show this method can be easily performed and applied to solving second-order calibration problems quickly and accurately.
Improvement of P&O MPPT Method for Photovoltaic System Based on Adaptive Prediction Algorithm
Authors: Fu Qing , Cheng Guang Lei , Liu Feng Jie , Ma Gui Long
Published: December 2012

To utilize maximum solar energy, maximum power point tracking (MPPT) control is much important for PV system. The paper presents a new MPPT method based on adaptive predictive algorithm which is superior to traditional Perturbation and Observation (P&O) method. PV output power is predicted to improve the tracking speed and deduce the possibility of misjudgment of increasing or decreasing the PV output voltage. Because PV output power can be obtained directly, close loop can be established so as to achieve a precise prediction. Simulations and experiments prove that proposed MPPT control can track the maximum power point rapidly, and the system can operate steadily with this MPPT method.
Particle Swarm Inspired Timetabling for ICT Courses
Authors: Foong Oi Mean , Rahim Syamilla Bt
Published: December 2012

University course timetabling is a complex problem which must satisfy a list of constraints in order to allocate the right timeslots and venues for various courses. The challenge is to make the NP-hard problem user-friendly, highly interactive and faster run time complexity of algorithm. The objective of the paper is to propose Particle Swarm Optimization (PSO) timetabling model for Undergraduate Information and Communication Technology (ICT) courses. The PSO model satisfies hard constraints with minimal violation of soft constraints. Empirical results show that the rds: NP hard problem, timetabling, particle swarm optimization
Prediction of Siltation from a Rainfall in Check Dam Based on RBF Neural Network
Authors: Wang Guo Zhong , Mei Ya Dong , Qu Jian Gang , Shuang Rui , Xu Jianhua
Published: December 2012

Due to the complex nonlinear characteristics between erosive rainfall and corresponding sediment volume, radial basis function (RBF) neural network is adopted to predict siltation in matlab2010 environment, and the results were compared with that one from BP neural network. In the course, the 3 major indicators of a rainfall such as single rainfall erosivity (R), maximum rainfall intensity in thirty minutes (I30) , rainfall quantity(P) are as input vectors, with the actual sediment deposition as a target vector. The results show that: RBF neural network is better than BP neural network in forecasting accuracy, computation speed, fitting accuracy.
Segmentation of Marrow Cells Images Based on Fuzzy C-Means Clustering
Authors: Ma Guo Qiang , Wang Xiao Juan
Published: December 2012

When a person watches different marrow-cell images he or she can identify every type of cells easily. In this process, human’s visual system has ability to adapt the different shades of the color marrow cells images. We propose a segmentation method for marrow-cell images based on fuzzy c-means clustering (FCM). Firstly, the count of cluster is calculated out using the shades of the R-matrix of a RGB formatted marrow cells image. Secondly, the fuzzy c-means clustering method is done on the R-matrix. Finally, the pixel of G-matrix and B-matrix are divided into some clusters by “one to one correspondence” of the position of pixels that belong to R-matrix, G-matrix or B-matrix. This paper’s contribution could be summarized into three points: 1) a frame work of the fuzzy c-means clustering for marrow-cell images segmentation is proposed. 2) Using FCM and the R- matrix component of a RGB formatted marrow-cell images to generate the count of clustering. 3) This method could adaption different shades of different marrow-cell images.
Structure Model of CDIO Ability Evaluation Expert System Based on Fuzzy Petri Net
Authors: Wu Da Qin , Yan Hui
Published: December 2012

CDIO is a kind of innovation mode of international engineering education, and CDIO capability evaluation is the main content implemented by this mode. In this thesis, the model of CDIO capability evaluation expert system is designed, and Fuzzy Petri Net technique is applied to conduct knowledge presentation and inference of inference engine. Besides, the construction of knowledge database and the algorithm and realization of inference mechanism are elaborated. CDIO capability level of the students can be evaluated intelligently by applying evaluation expert system, which can also feed back the existing key questions. In this way, the development and evaluation of CDIO capability are constituted into a loop, which improves the quality of talent training effectively.
The Application of Probabilistic Neural Network in Speech Recognition Based on Partition Clustering
Authors: Li Xin Guang , Yao Min Feng , Jian Li Rui , Li Zhen Jiang
Published: December 2012

A probabilistic neural network (PNN) speech recognition model based on the partition clustering algorithm is proposed in this paper. The most important advantage of PNN is that training is easy and instantaneous. Therefore, PNN is capable of dealing with real time speech recognition. Besides, in order to increase the performance of PNN, the selection of data set is one of the most important issues. In this paper, using the partition clustering algorithm to select data is proposed. The proposed model is tested on two data sets from the field of spoken Arabic numbers, with promising results. The performance of the proposed model is compared to single back propagation neural network and integrated back propagation neural network. The final comparison result shows that the proposed model performs better than the other two neural networks, and has an accuracy rate of 92.41%.
A Methodology for Sensory Evaluation of Food Products Using Self-Organizing Maps and K-Means Algorithm
Authors: Alves Wonder Alexandre Luz , Araújo Sidnei Alves De , Pessota Jorge Henrique , Santos Renato Augusto Barbosa O. Dos
Published: December 2012

Sensory analysis has an important impact on food production since its results can help the understanding of consumers’ perceptions about the products. Thus, many methods have been proposed and applied to quantify sensory attributes of food products. In this paper we proposed a methodology, using Kohonen's Self-Organizing Maps and K-means algorithm, to classify food samples through the responses, provided by human evaluators, for their attributes such as aroma, flavor, appearance and texture. Conducted experiments in sensory analysis to determine the acceptance of new gelatins produced from chicken feet and new wines produced from spares of Açaí and Cajá confirm that proposed methodology is suitable for the investigated purpose.
FCM Segmentation Algorithm Research for CT Cerebrovascular Medical Image Based on Sober Extraction Algorithm
Authors: Liu Bin , Wang Long , Liu Hai Yan
Published: December 2012

In this paper, linking with the basic principle of FCM (Fuzzy c-means clustering) algorithm, on the basis of theory research, a method of the cluster analysis of FCM based on sober extraction algorithm is proposed. To insure the quality of image reconstruction and the edge information extraction, the characters of sober operator is analyzed. Firstly, the approximate optimal solution obtained by the improved FCM algorithm is taken as the original value, then combined with intensity-texture-position feature space in order to produce connected regions shown in the image. The final segmentation result is achieved at last. The experiment results prove that in the view of the image segmentation, this segmentation algorithm based on sober extraction algorithm provides fast segmentation with high perceptual segmentation quality.
Numerical Simulation and Optimization of 3µm Emission in Er: YLF Crystals by Means of Simulated Annealing Technique
Authors: Alves Wonder Alexandre Luz , Pereira Junior Nélito Bernardes , Librantz André Felipe Henriques , Araújo Sidnei Alves De
Published: December 2012

In this work a multi-objective Simulated Annealing algorithm (SA) is applied to maximize the small signal gain (SSG) of Er3+-3µm: YLF crystal, which plays important role in the laser systems development (and further operation). For this purpose the rate equations Er:YLF crystal were solved numerically and 3 microns SSG for different Er3+ concentrations was maximized by Simulated annealing (SA) technique taken into account the pulse time (time-ON), time-OFF and the pumping rate (Rp) parameters. Results show that is possible to obtain valid laser gain for erbium concentration smaller than 9 mol % for the Er:YLF system after appropriate set of these parameters.
Particle Swarm Algorithm for Discretization of Decision Tables
Authors: Zheng Xin Wei , Dai Jian Hua
Published: December 2012

Discretization of attributes with real values is an important problem in data mining. From the viewpoint of discernibility, consistency needs to be satisfied and cuts set for discretization is expected to be as small as possible. Consistent and minimal discretization problem is NP-complete. A particle swarm algorithm for discretization of decision tables is proposed.
Planning Chart Application for Algorithm of TSP Ant Colony
Authors: Tang He Nan , Yan Hui
Published: December 2012

In this paper, a new Ant Colony Algorithm is firstly put forward based on the integration of planning recognition, pattern learning and the basic Ant Colony Algorithm. Then it is proved that the new algorithm can be effectively applied to TSP problem. That also provides new possibilities of using Ant Colony Algorithm to solve practical problems.
WSN Node Localization Algorithm Based on SA Algorithm
Authors: Chen Qiao , Bai Yu Dong
Published: December 2012

we have realized network node of WSN localization algorithm through SA algorithm，and this paper puts forward a method.This method calculate network node and other relevant information through SA algorithm first and then use then as parameters to calculate again.The second calculation is Using BP neural network algorithm. The accuracy of the result has been multiplied compared with the method that does not use BP neural network algorithm
Research on the MPPT Stability of the Single-Stage and Single-Phase Photovoltaic Grid-Connected System
Authors: Souamy Loembe
Published: December 2012

At present the multi-stage transformation topology are more used in photovoltaic (PV) grid-connected system, although the control of this structure is relatively simple but the conversion efficiency is difficult to improve due to increase in transformation series. The single stage topology has a simple topology with high reliability and efficiency because of low power consumption, but control algorithm is more complex because of its power convert main circuit without DC-DC. This paper describes a method for maximum power point tracking (MPPT) in the single-stage and single-phase PV grid-connected system. In the paper, the nonlinear output characteristics of the PV including I-V & P-V are obtained in changed solar insulations or temperature based on MATLAB, and the MPPT algorithm which is based on the particle swarm optimization (PSO) method is also described. The simulation model of the single-stage and single-phase PV grid-connected system is built , and simulation results show the MPPT algorithm has excellent dynamic and static performances ,which verifies the PSO method is effective for MPPT in the single-stage and single-phase PV grid-connected system.
Exploration of Situation Comprehension with Complex Networks
Authors: Ren Ting Ting , Pan Feng , Li Wei Xing , Gao Qi
Published: December 2012

Situation comprehension was introduced in this paper. And a new assist analyzing method based on the complex networks was presented. Through building a spatial situation network, some statistical properties were obtained and interpreted as possible situations. This research is an exploration of situation comprehension based on complex networks.
A Mallat Based Wavelet ECG De-Noising Algorithm
Authors: Zhang Sheng , Gao Jie , Yang Jie , Yu Shun
Published: December 2012

A Mallat based wavelet de-noising algorithm in ECG analysis is studied. We use bior3.7 wavelet based on Mallat algorithm for ECG decomposition. Then we choose composite threshold and wavelet reconfiguration algorithm for signal de-noising to achieve an effective result. Data get from MIT/BIH is examined using the method. The result shows that it can not only remove the power frequency disturbance, EMG interference and baseline drift emerging in ECG, but also preserve the ECG characteristics.
Research of Dynamic Parameters Design on Genetic Algorithm
Authors: Li Shu Jie , Guo Wei Jia , Li Zhi Gang
Published: December 2012

To quickly get the global optimum by genetic algorithm, calculated the average and standard deviation of the adaptabilities of chromosomes of one generation, designed the selection operator and the mutation operator by the average and the standard deviation, dynamically adjusted the probability of selection operator and mutation operator and decreased the blindness of genetic algorithm, increased the multiplicity of chromosomes by multiple-point crossover and repetitiveness check. The test shows that the algorithm offered in the article is feasible and effective.
An Improvement Research of SWOT Method Based on Analytic Hierarchy Process
Authors: Gong Ting , Yan Hui
Published: December 2012

SWOT Analysis Method is improved by advantage of Analytic Hierarchy Process (AHP), qualitative and quantitative methods are combined effectively based on Analysis of traditional SWOT Method deficiency. In the end of this paper, the analytical hierarchy process (AHP)is applied in detail experiment and some sound analysis and research are implemented.
Spare Parts Support Model Optimization Algorithm
Authors: Gao Jianjun , Jiang Li Qiang , Guo Qiang , Huang Li Po , Han Jin Cheng
Published: December 2012

by deeply analyzing the impact factor of the support degree, the calculation formula of the support degree be extended to make the formula more reasonable. Taking into account the life of the old and new spare parts and the impact of scheduling for spare parts support, the spare parts scheduling support model has been established. According to the characteristics of the model, the introduction of the classic scheduling algorithm for optimization of spare parts, can effectively improve the efficiency of support.
A New Alternating Group Explicit Algorithm for Solving 2D Diffusion Equation
Authors: Xu Qiu Yan , Qu Fuli
Published: December 2012

Based on the group explicit strategies, a new alternating group explicit algorithm for solving 2D diffusion equation was presented. The four new difference schemes which were constructed to implement the algorithm in parallel, can be converted to explicit computation. The stability and truncation error analyses were provided. Finally, numerical experiment was performed to examine that the the presented algorithm is efficient and accurate.
A Range Query Parallel Algorithm in High-Dimensional Space
Authors: Xu Hong Bo , Yao Nian Min
Published: December 2012

The performance of the spatial range query algorithms based on Brute-Force method, R-tree, VA-file and NB-tree suffers greatly in high-dimensional space. So the reduction of the dimensionality is the key to the spatial range query in high-dimensional space. The paper uses the parallel technique to present a spatial range query parallel algorithm in high-dimensional space. The algorithm transforms d-dimensional spatial range query to the linear space on d slave node processors. The d slave node processors run parallel. The master node processor only need calculate the union of d results which d slave node processors return. The experimental results indicate that its performance is better than that of the spatial range query algorithms based on Brute-Force method, R-tree, VA-file, NB-tree.
Improved Algorithm of Global Model-Checking for Propositional μ-Calculus
Authors: Jiang Hua , Xi Jian Qing
Published: December 2012

Based on the research of the author when he was a Ph.D. student, he deeply studied the proposition of μ-Calculus, and used solving the partial ordering relation in formula μ-Calculus to solve formula μ-Calculus quickly. This paper improves and perfects the algorithm in reference [11]. The time complexity of the algorithm in this paper is O((2n+1)^(d/2+1)), its space complexity is O(dn), where n is the number of states in the transition system and d is the nesting depth of fixpoint operators in the formula of proposition μ-Calculus.
Research on Optimization Algorithm of Network Resources and Paths Based on Ant Colony
Authors: Bai Xiao Ming , Wu Dan
Published: December 2012

Starting with high availability of Websites, by executing load balancing strategies, the author designs and implements an optimization algorithm of network resources and paths based on ant colony. Firstly, defining resource allocation process and objective function; secondly, discussing improvements to integrated load parameters; then, focusing on analysis of principles of ants moving, updates of pheromone concentration, ants’ data structures, and algorithm flow; Finally, simulating test by MATLAB. The solutions above can provide higher reliability and availability for Web services by balancing traffic and load.
The Improved DTW Voice Recognition Algorithm
Authors: Li Yun Hong , Li Zi Ling
Published: December 2012

Due to reduce the amount of DTW algorithm and improve the recognition rate. Through using the traditional DTW algorithm for analysis and research, putting forward a kind of local path constraints and regional restrictions combined with improved DTW algorithm. Through the experiment, using the improved DTW algorithm can reduce the calculate operations and improve the recognition rate.
Textual Integrity Detection Algorithm Based on Matrix Encoding
Authors: Su Sheng Jun , Xu Jin Jin , Wang Shuo Zhong
Published: December 2012

A novel textual integrity detection algorithm based on matrix coding is presented in this paper, which can improve the embedding efficiency and security of digital watermark in the WORD document. The experimental results show that better invisibility and security of watermark can be obtained by using matrix coding.
A New Inpainting Method Based on TV
Authors: Wang Min Qin
Published: December 2012

Nature image has complex structure and texture. In past years, people copy the pixels, which come from the surrounding neighborhood or selected example, into damaged region along isophate direction. This might cause such result as blur edges, which looks “unreasonable” to human eyes. This paper proposes a novel algorithm which simultaneously inpaints structures and textures of damaged images. This algorithm use TV to decompose the image into two parts. We inpaint the cartoon image part firstly by boundary reconstruction. Then we do texture synthesis to texture image part guided by boundary reconstruction. The method aims at inpainting structure and texture simultaneously and produces good results for texture with complex structure.
Data Normalization of Single Camera Visual Measurement Network System
Authors: Zhou Jing , Li Shi Jun , Huang Dong Yan , Chen Xiao Lin , Zhang Ye Chi
Published: December 2012

With the development of visual measurement system , the visual measurement system of single camera which applied in the imaging theory of optical feature points , it has been widespread used in the modern production . Due to the limit of the environment in scene , the visual measurement system of single camera could not measure the shield between the measured objects each other . Focus on this problem , present a kind of the the knowledge of measurement network based on the visual measurement of single camera , set up the measurement network system via the multi-control points . Measure the optical feature points in every network control point via the visual measurement system of single camera; Normalize the measured coordinates into the same world coordinate system , then get the global data , and achieve the overall measurement ; Apply in the three coordinate measuring machine(CMM) to have the simulation experiment , the result indicates that the maximum absolute tolerance between the normalization coordinates via the center of point set and the ones measured by CMM directly is 0.058mm ; But the one between the coordinate repeatedly measured at the position of one network control point is 0.066mm ; So the data normalization has the advantage of more high precision .
Building a Low-Cost Eye-Tracking System
Authors: Huang Chi Wu , Jiang Zong Sian , Kao Wei Fan , Huang Yen Lin
Published: December 2012

This paper presents the developing of a low-cost eye-tracking system by modifying the commercial-over-the-shelf camera to integrate with the proper-tuned open source drivers and the user-defined application programs. The system configuration is proposed and the gaze-tracking approximated by the least square polynomial mapping is described. Comparisons between other low-cost systems as well as commercial system are provided. Our system obtained the highest image capturing rate of 180 frames per second, and the ISO 9241-Part 9 test performance favored our system, in terms of Response time and Correct response rate. Currently, we are developing gaze-tracking accuracy application. The real time gaze-tracking and the Head Movement Estimation are the issues in future work.