bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimizing the Global Dynamic Compliance by Using the Smart Damper and LabVIEW Instrumentation
Authors: Olaru Adrian , Olaru Serban , Paune Dan
Published: June 2012

The actual required productivity, accuracy and reliability impose that the robots must be optimized concerning the dynamic behavior. The joints and robots bodies are necessary to be optimized for their usability performance to assure the productivity requirements. The global dynamic compliance (GDC) is one of the most important dynamic parameters of the dynamic behavior of the industrial robots. The viscose global dynamic damper coefficient (VGDDC) is other important parameter of the dynamic behavior what must be optimized to obtain the desired dynamic behavior, the avoiding of the resonance frequencies. The paper shows one new assisted method of the GDC analyzes of the industrial robot with LabVIEW virtual instrumentation (VI) in three different cases: with/without smart magnetorheological damper (MRD) and with aero damper. The created VI-s assures to obtain the assisted research of the dynamic behavior. With this research was possible to determine in the frequencies domain, the robot GDC and the viscose global dynamic damper equivalent coefficient (VGDDEC) value in a case with MRD and finally the transmission of the vibration from the floor to the robot’s tool center point (TCP). This method and the created virtual LabVIEW instrumentation are generally and they are possible to apply in many others dynamic behavior researches.
Eye Tracking Used to Evaluate the Human Behavior
Authors: Baritz Mihaela Ioana , Cotoros Diana Laura , Braun Barbu Christian
Published: June 2012

In this paper we presented some theoretical and experimental considerations about the eye movements, gaze direction and correlation between them and the posture of human head. First of all it is important to analyze the movements of the eyes and also the modeling of image creation on the retina surface according to the illumination and accommodation process. In the second part of the paper we presented the experimental setup used to record the eye movements and the human head posture in possible situations. In the final part of the paper we analyzed the recordings of eye movements for a human subject during time experiments correlated with the eye gaze direction and simulations. Also the results, conclusions and future applications of these researches are presented.
Design and Implementation of an Improved Real-Time Tracking System for Navigation Surgery by Fusion of Optical and Inertial Tracking Methods
Authors: Soroush Ali , Farahmand Farzam , Salarieh Hassan
Published: June 2012

The fusion of the optical and inertial tracking systems seems an attractive solution to solve the shadowing problem of the optical tracking systems, and remove the time integration troubles of the inertial sensors. We developed a fusion algorithm for this purpose, based on the Kalman filter, and examined its efficacy to improve the position and orientation data, obtained by each individual system. Experimental results indicated that the proposed fusion algorithm could effectively estimate the 2 seconds missing data of the optical tracker.
An Architecture Design of Navigation Solution Using Signal Information from Global Navigation Satellite System
Authors: Abbas Naqvi Najam , Xin Wang , An Cong Yi , Li Yan Jun
Published: June 2012

This research endeavor probes into the implementation of navigation solution using the signals of Global Navigation Satellite System (GNSS) from the Garmin GPS-25 OEM board after getting the raw data in the NMEA format. The position information obtained by the receiver is compared with the navigation algorithm implemented in MATLAB. The Ionospheric, Tropospheric and relativistic clock errors are incorporated to achieve the required accuracy. The Least square iterative algorithm is applied to get the position information. The geometric, position and time dilution of precisions; GDOP, PDOP and TDOP respectively are also compared and analyzed. The GNSS structure, the signal in space, the sources of positioning errors, the pre-processing techniques and data formats are also presented to complete the problem. The analytical treatment validates the problem solution too.
Advanced Rehabilitation Technology
Authors: Ciobanu Ileana , Berteanu Mihai
Published: June 2012

Advanced Rehabilitation Technology provides complex tools with both therapeutical and assistive function. Both designing and therapeutic use of these cybernetic organisms need a sustained interdisciplinary collaboration, the achievements in this domain being the result of the team work of software specialists, researchers from medical, kinematic, technical, electronic, military, sports fields, psychologists, philosophers, bioethics specialists, and not least, of the specialists from medical and neurological rehabilitation clinics and their patients.
Machining with Image Recognition Using Industrial Robot
Authors: Mikolajczyk Tadeusz , Wasiak Pawel
Published: June 2012

Paper describes the robot equipped with USB camera for capture view of machined objects and tools holder mounted to robots wrist. Showed ideas of using view of machined surface to programming the machining process as art milling or surface grinding. Special pc control of industrial robot system was used.
A 6-DoF Satellite Virtual Simulator Design and Development
Authors: Mirshams Mehram , Nahvi Ali , Khosrojerdi Mohsen , Tae Hojat , Vahid Ali
Published: June 2012

Virtual simulation is one of the best methods for training students and understanding events and has been used in many fields of science yet, for example: space researches. For this reason, creating of an environment that can simulate the operations of satellites will be very usable and appropriate. This paper will present the details of a newly constructed 6-DoF experimental Satellite Virtual Simulator (SVS) facility at the Space Research Laboratory (SRL) at the K.N.Toosi University of Technology. SVS is used for studying the translational and rotational motions of a satellite and testing the control and communication concepts. The main components of the facility are 3-D screens, video projectors, user interface, central server system, 3-D glasses for users and its modeling software.
Three-Dimensional Elasticity Study of Vibration of a Composite Shell Panel with Embedded Piezoelectric Sensors
Authors: Daneshmehr Alireza R. , Nili Samaun , Nateghi A.R. , Hussaini Shirjan
Published: June 2012

In this paper, Free vibration analysis of a finite length composite shell panel with an embedded piezoelectric sensor, using three-dimensional elasticity solution, is presented. To this end, two different methods are applied to solve the governing equations of the problem. In the first method, the displacement field is derived using trigonometric function expansion in circumferential and longitudinal directions. Using the method of changing variables, the governing partial differential equations are reduced to ordinary differential equations. Then these equations are solved simultaneously with outer and inner boundary conditions to give the natural frequencies and shape modes of the shell panel. In the second method the highly coupled partial differential equations are reduced to ordinary differential equations by means of trigonometric function expansion in circumferential and axial directions and then the finite difference method is applied to evaluate the obtained differential equations in radial direction. Then, the natural frequencies of the multi-layered panel are calculated using the obtained ordinary differential equations. At last, some numerical examples are presented to compare the results obtained by these two different methods. Three layered laminated shell panel is assumed to be [0/90/P].
Dynamic Force-Position Control of the Walking Robots Motion on Slope
Authors: Vladareanu Luige , Melinte Daniel Octavian
Published: June 2012

Abstract. The paper presents a strategy for the dynamic hybrid force-position control of the walking robot motion on slope using the ZMP method for dynamic control and a stable and robust method. Through dynamic and kinematic modeling of the walking robots motion an open architecture system was developed which contains five control interfaces. The stability problem of quadruped walking robots, through extendible segments which are designed to reduce the difficulty of walking on slope, and also by using them to avoid obstacles that may occur during a stepping cycle are presented. The results obtained have led to an improvement in the response time to disturbances, to tracking the motion trajectory with higher precision in conditions of high stability and to development of new technological capabilities, adapting the robot walking to movement over sloped terrain, with obstacles and bumps.
The Application of Distributed Multi-Sensor Information Fusion Technology in Underwater Vehicle
Authors: Li Ye , Jiang Yan Qing
Published: June 2012

The application of distributed multi-sensor information fusion technology in accurate positioning of Underwater Vehicle was introduced in this paper. According to the system structure of Distributed multi-sensor in an AUV “T1”, this article establishes the Kalman filtering mathematical model, accomplishes the fusion algorithm based on Kalman filtering and a numerical simulation. The experimental result shows that the application of fusion algorithm based on Kalman filtering can avoid the limitations of a single sensor, reduce its uncertainty impact and increase the confidence level of data.
Wearing Performances of Floret Silk/Cotton Blended Sports Socks
Authors: Chen Wei Lai , He Miao Miao , Zhang Mao Yi , Tang Zhan Chang
Published: June 2012

By using floret silk/cotton blended yarn, high-tech knitting technology and strict technical procedure, we designed and produced knitted sports socks. We had a series of test of socks' wearing capabilities, including tensile, burst, wear-resistant, air breathable, moisture permeable, anti-pilling property. Testing results showed that floret silk/cotton sports socks were comfortable and durable enough to wear.
Research of Adaptive Synthesis Rule for Conflict Evidences
Authors: Li Sheng Wei , Li Han
Published: June 2012

In order to deal with the lack of treatment with high conflict evidence ability in traditional D-S evidence synthesis rules and some defects of improvement method, an adaptive synthesis rule for conflict evidence is presented. Firstly, based on the balance between conjunction and disjunction, the adaptive synthesis rule for conflict evidence is established; Secondly, the probability distribution of the conflict evidences is gathered by Monte Carlo simulation, and then a reasonable fusion balance function between conjunction and disjunction is established; Thirdly, the conflict coefficient is obtained real-time through conjunction; the self-adaptation of evidence synthesis process is realized simultaneously. Finally, the validity of this method is verified through the comparison with other methods.
Research on Internet Monitoring System Based on Multi-Layer Text Information Filtering Method through Artificial Neural Networks
Authors: Liu Jian Qing , Luo Mei
Published: June 2012

Internet monitoring has recently been the focus of media attention and public debate. This paper proposed a novel method of multi-layer smart monitor system to filter unhealthy information using artificial neural networks (ANN). This method classified the text into multilayer and uses RPROP algorithm to implement the text classifier. Finally, the test was deployed and the feasibility of this algorithm was proven.
Research of Face Recognition Method Based on Multiple Classifier Fusion
Authors: Xu Yu Long , Zhang Yong Mei
Published: June 2012

In this paper, a recognition method for multiple classifiers is proposed, which combines an improved eigenface method with Support Vector Machine(SVM). The combining classifiers can make use of high recognition rate for SVM and high speed for distance classification. The distance classifier may classify the input images and give the final results when the rejecting rule is satisfied. Otherwise, these images are delivered to SVM for further classification. Experiment data show that the fusion of multiple classifiers for face recognition has higher efficiency, accuracy of recognition and lower rate of error recognition.
Design of SoC Verification System Based on Multi-FPGA
Authors: Han Xi , Li Zhe Ying , Liu Yuan Sheng , Niu Wen Liang
Published: June 2012

As one of the most advanced research field, the problem of SoC (System on a Chip) design is getting more and more attention. With the promotion of its theory and technique, SoC verification turns to one of the most significant part in the procedure of realizing a usable integrated circuit. And verification using FPGA (Field Programmable Gate Array) which must obey a set of strict technological process is a kind of general way. With the growing complexity and integrated scale of SoC design, a single FPGA chip could hardly satisfy the verification requirement. Then the method of verification using multi-FPGA is taken and expresses some advantages in some respects. Multi-FPGA verification is still in the initial step situation and has a broad developing space. The architecture of multi-FPGA verification platform is given in this paper, as well as some related key technical problem and solutions.
Parallel Performance of MPI Based Parallel FDTD on NUMA Architecture Workstation
Authors: Guo Xiao Mei , Zhao Wei , Zhang Li Hong , Yu Wen Hua
Published: June 2012

This paper introduces a parallel FDTD (Finite Difference Time Domain) algorithm based on MPI (Message Passing Interface) parallel environment and NUMA (Non-Uniform Memory Access) architecture workstation. The FDTD computation is carried out independently in local meshes in each process. The data are exchanged by communication between adjacent subdomains to achieve the FDTD parallel method. The results show the consistency between serial and parallel algorithms, and the computing efficiency is improved effectively.
The Research of LDPC Code in Communication System
Authors: Hu Dan
Published: June 2012

Low-Density Parity-Check(LDPC) codes are a class of channel codes based on matrix encoding and iterative decoding. It has low decoding complexity as well as capacity approaching performance. Until now, the best designed LDPC codes can achieve the performance within only 0.0045dB of the Shannon limit. With the in-depth study, the encoding complexity of LDPC codes is not a difficult problem for application any more. Today, we can see LDPC codes widely used in many practical systems, such as wireless communication system, deep-space communication system, optical-fiber communication system and media storage system. This thesis first introduces the development of channel coding, and then the basic principles and concepts of LDPC codes. The following parts discuss several techniques of LDPC codes, including the construction methods of low-density parity matrix, the iterative decoding algorithms and performance analysis methods. Besides, we propose our opinions and our improved algorithms.
Fine-Grained Access Control Technology in the Data-Centric Business Process Model
Authors: Yan Chao , Yu Shou Jian
Published: June 2012

A data-centric approach to business process and workflow modeling has been emerging over the past several years. But various research interests of access contral are still faced with quite a number of challenges. In this paper,we discuss the key access control requirements for application data in business process applications by using employee hiring examples. As to achieve those requirements, we introduce a fine-grained access contral technology (FGAC) for the data-centric business process model.
A Video Compression Method for Wireless Transmission
Authors: Zhou Yun
Published: June 2012

With the ever-increasing expansion of wireless voice and data plan demands, bandwidth constrained wireless channels intervened with mobility issues lay out a great challenge in the hardware configuration, software development and algorithm design of communication systems. This paper presents our work on a modular and standards-independent DSP-based testbed designed for real-time video communication over low-bandwidth channels. In particular, the real-time transmission of MPEG-4 video and JPEG2000 still images over the Bluetooth wireless standard is demonstrated here. The testbed was designed to explore the possibilities, demands, and challenges of real-time wireless video transmission. The work could have tremendous near-future applications.
XML Query Based on Indexed Sequential Table
Authors: Yang Yang , Li Hai Ge
Published: June 2012

The current study based on XML index and query mostly focuses on encoding and the structural relation. Region codings are widely used to improve XML query. In this paper postorder-traversal region coding is proposed. The postorder of a node’s all descendants consists of the region. Judging and ensuring structural relation of any two nodes just depend on this region, if the postorder of a node is in a region, ancestor/descendant structural relation can be ensured. Consequently, postorder-traversal region coding can effectively judge structural relation and avoid traversing the XML document tree. Based on region coding, many constructive structural query algorithms have been put forward. As we all know that Stack-Tree-Desc algorithm is one of these fine algorithms, AList and DList only need separately scan one time to judge structural relation, however some unnecessary nodes still be scanned. In order to solve this problem, Indexed Sequential Table algorithm is introduced. The optimized algorithm introduces Indexed Sequential Table to avoid scanning unwanted nodes when the two lists join to locate next node which participates in structural join. In this case, some nodes of AList and DList which don’t participate in structural joins can be jumped, the query efficiency is enhanced. As a result, ordered scanning is prevented, the consuming time of XML query shortens accordingly. Experiment results demonstrate the effectiveness of the improved coding and algorithm.
A Computer Simulation Study of the Rainfall Infiltration and Evaporation Process of Sand-Mulched Field
Authors: Zhao Hong Cheng , Peng Hong Tao , Li Ge Fei , Zhang Xin Ping , Gu Bo Xuan
Published: June 2012

In the arid areas of northwest China, sand-mulched field is an indigenous dry farming technique to reduce evaporation and conserve the limited rainfall for reliable crop production. The numerical simulation was carried out for analysis of the rainfall infiltration and evaporation process of sand-mulched field. Simulation results indicated that there were signifecant differences between the sand-mulched soil and that without mulch (control). Sand mulch on surface of soil may be effective in increasing infiltration and reducing runoff and evaporation. When the rainfall intensity is less than soil saturated hydraulic conductivity, sand mulch has little effect on the movement of soil infiltration wetting front. When the rainfall intensity is greater than the saturated permeability, the wetting front speed in sand-mulched soil is faster than that in bare soil during infiltration. During the simulation time, the runoff of sand-mulched soil is less than that of soil without mulch, variation in water potential of the sand-mulched soil is only 11% of that of the bare soil under the condition with evaporation intensity 0.6mm/h. Sand mulch can reduce water movement out of the soil by reducing the evaporation rate.
The Index Storage Model for Urbanization Data Combined Query
Authors: Zhao Ling Li , Liu Shu Ai , Li Jun Sheng
Published: June 2012

Urban information is a kind of multi-sources data, the paper is focused on data indexes construction, classified indexes for non-spatial data, R-trees index for spatial data and the paper puts forward an area hiberarchy index tree structure to build up direct relationship between spatial data and non-spatial data for combined queries, and the experiment shows that the hiberarchy index tree is much validated and something useful is obtained.
Design of Text Categorization System Based on SVM
Authors: Liu Zhen Yan , Wang Wei Ping , Wang Yong
Published: June 2012

This paper introduces the design of a text categorization system based on Support Vector Machine (SVM). It analyzes the high dimensional characteristic of text data, the reason why SVM is suitable for text categorization. According to system data flow this system is constructed. This system consists of three subsystems which are text representation, classifier training and text classification. The core of this system is the classifier training, but text representation directly influences the currency of classifier and the performance of the system. Text feature vector space can be built by different kinds of feature selection and feature extraction methods. No research can indicate which one is the best method, so many feature selection and feature extraction methods are all developed in this system. For a specific classification task every feature selection method and every feature extraction method will be tested, and then a set of the best methods will be adopted.
An Improved Anisotropic Diffusion Model Based on Wavelet Transform for Image Denosing
Authors: Zhang Rui Lin , Liu Hui Min , Hu Zhu Hua , Guo Wei Jie
Published: June 2012

Preserving meaningful details such as blurred thin edges and low-contrast fine features is important in image de noising. A new method based on improved anisotropic diffusion model and wavelet transform is presented for image denoising. The proposed diffusion model incorporates both local gradient and gray-level variance to preserve edges and fine details while effectively removing noise in low-contrast surface images.
Design and Implementation of WebGIS Based Information System for Nature Reserve
Authors: Xue Xiao Xiao , Ding Wei Dai , Shi Ming Chang , Guan Wen Bin
Published: June 2012

In order to standardize the methods of information collection and sharing for nature reserves, a WebGIS based information system for nature reserve is designed and implemented in this paper. Large-scale information is administrated in this system, which can be conveniently accessed by information query, statistical analysis and data sharing.
An Improved Error Concealment Based on Redundant Motion Vector Information
Authors: Deng Hong Tao
Published: June 2012

During video transmission over error prone network, compressed video bit-stream is sensitive to channel errors that may degrade the decoded pictures severely. In order to solve this problem, error concealment technique is a useful post-processing tool for recovering the lost information. In these methods, how to estimate the lost motion vector correctly is important for the quality of decoded picture. In order to recover the lost motion vector, an Decoder Motion Vector Estimation (DMVE) criterion was proposed and have well effect for recover the lost blocks. In this paper, we propose an improved error concealment method based on DMVE, which exploits the accurate motion vector by using redundant motion vector information. The experimental results with an H.264 codec show that our method improves both subjective and objective decoder reconstructed video quality, especially for sequences of drastic motion.
Research of the Construction of Network Data Storage in the New Period
Authors: Fang Xu
Published: June 2012

Nowadays the number of the users of the network data storage is becoming more and more. One of the problems we are confronted with is that how to construct our network data storage in the new period. Several typical network data storage is analyzed in the paper and the problems are analyzed .Some advice is put forward about the construction of the network data storage .We hope that the construction of our country’s network data storage can be push forward constantly through our effort.
A New Method for Noisy Speech Classification Based on Gaussian Mixture Models
Authors: Yao Li Hai , Xu Jie , Jiang Hao
Published: June 2012

Speech can be broadly categorized into voiceless, voiced, and mute signal, in which voiced speech can be further classified into vowel and voiced consonant. With the ever increasing demand of the speech synthesis applications, it is urgent to develop an effective classification method to differentiate vowel and voiced consonant signal since they are two distinct components that affect the naturalness of the synthetic speech signal. State-of-the-arts algorithms for speech signal classification are effective in classifying voiceless, voiced and mute speech signal, however, not effective in further classifying the voiced signal. In view of the issue, a new algorithm for speech classification based on Gaussian Mixture Model (GMM) is proposed, which can directly classify a speech into voiceless, voiced consonant, vowel and mute signal. Specifically, a new speech feature is proposed, and the GMM is also modified for speech classification. Simulation results demonstrate that the proposed algorithm is effective even under the noisy environments.
Properties of Environment Friendly Nitrogen-Free Materials for Leather Deliming
Authors: Sui Zhi Hui , Zhang Lei , Song Jia
Published: June 2012

The deliming experiment of limed pelt for leather-making was carried out by means of formic acid, sulfosalicylic acid, citrate acid, Nylon acid, gluconic acid and other nitrogen-free materials. The impacts of the pH of deliming liquid and the content of calcium ion in the deliming liquid on the deliming effect were investigated. In order to further improve the deliming effect of the material, the nitrogen-free organic acids above were subjected to composite research, wherein the results thereof showed that the deliming values of sulfosalicylic acid, formic acid and citrate acid were relatively high, the deliming abilities were relatively strong, but the buffer during the deliming process was not obvious; the deliming values of Nylon acid and gluconic acid were not relatively high, but the deliming process had a certain buffer; and the deliming effect of composite formic acid and gluconic acid was very good. Compared with the conventional deliming agent (NH4)2SO4, the composite deliming agent not only could remove the pollution caused by ammonia nitrogen in the deliming wastewater and greatly reduce the S2- in the wastewater, but also could effectively reduce CODCr and BOD5 of the deliming effluent.
Key Technologies in the Construction of a GIS System for Weather Data
Authors: Li Da Qing , Seng De Wen
Published: June 2012

Weather services closely linked with the geographic data. To some extent, weather data are geographic information. Because the wind speed, temperature, pressure, etc. are all relative to the specific space domain and time domain. Weather data is very ambitious. The climate observatory needs to be updated daily hundreds of weather data, together with accumulated decades of climate history data. The data amount is very large. With the development of science and technology, weather data are growing very quickly. As for these characteristics, the weather services have a wide range of applications of the GIS system. A good weather information query system allows forecasters the most intuitive and rapid control of various weather information. It plays an important role in decision making.
Simulation and Spectral Analysis of Sea Wave
Authors: Xu Jing Bo , Bian Xin Qian , Fu Ming Yu
Published: June 2012

This paper deals with the method of simulating sea wave for decreasing its disturbance in the watercraft navigating. Firstly the ITTC two-parameter spectrum is selected as the power spectrum of sea wave to be simulated. Secondly the selected power spectrum is parted on a prescription composed of drugs of equal amount energy, and the harmonic frequency is determined by calculating the mass center of each section. Each order harmonic is synthesized on the basis of the Longuet-Higgins model in time domain. Finally, the simulation algorithm based on energy in part is presented and the simulated sea wave with time and space are determined. The simulation accuracy arrives at 1.6% compared with the ideal sea wave spectrum by the spectrum analysis of the simulated sea wave in Welch. That testifies the validity of this method and provides the watercraft movement parameters filtering with reliable exciting signals.
Computer Simulations of Chua’s Circuits with Small-World Connection
Authors: Zhang Guo Yong , Xing Jiang
Published: June 2012

Based on the two-dimensional array of Chua’s circuit, the complex dynamic phenomena of Chua’s circuits with small world connections was simulated. Such networks can be thought of as a model of nonlinear phenomena in spatially extended systems. And this means for understanding complex interactions existing in real systems where separate cells can communicate in various ways. In such small-world networks, the Chua’s circuit is taken as a standard chaotic cell. The results of computer simulation show that the spiral wave patterns could form in certain initial conditions in the presence of the small-world connection. In addition, it is found that the small-world connection could affect the pattern formation greatly.
The Summary of the Application of Pattern Recognition in Image Progressing
Authors: Xi Zheng Hao , Liu He Ping , Ren Zhen Qin , Li Na
Published: June 2012

This paper summarized some major methods in image progressing and existent problems. Also we analyzed and summarized the support vector machine pattern recognition which is described as a new direction in pattern recognition in recent years.
Research for the SSD-Based Storage Technology of Mass Remote Sensing Image
Authors: Zhang Wei Cheng , Chen Zeng Ping
Published: June 2012

According to the problem that the mass remote sensing image cannot be stored rapidly in the traditional storage system, the new SSD-based storage technology for mass remote sensing image is proposed and analyzed. The technology consists of image blocking technology, parallel bus storage technology and pipeline storage technology between flash channels, which makes the real-time storage of mass remote sensing image possible. The results of theoretic analysis show that the proposed technology in this paper can improve the storage speed for remote sensing image remarkably.
Knowledge Integration for Analyzing ChIP-seq
Authors: Zhou De Yu , He Yu Lan
Published: June 2012

To capture the genomic profiles for histone modification, chromatin immunoprecipitation (ChIP) is combined with next generation sequencing, which is called ChIP-seq. However, enriched regions generated from the ChIP-seq data are only evaluated on the limited knowledge acquired from manually examining the relevant biological literature. This paper proposes a novel framework, which integrates multiple knowledge sources such as biological literature, Gene Ontology, and microarray data. In order to precisely analyze ChIP-seq data for histone modification, knowledge integration is based on a unified probabilistic model. The model is employed to re-rank the enriched regions generated from peak finding algorithms. Through filtering the reranked enriched regions using some predefined threshold, more reliable and precise results could be generated. The combination of the multiple knowledge sources with the peaking finding algorithm produces a new paradigm for ChIP-seq data analysis.
Effects of Operating Parameters and Loading Modes on the Dynamic Cell Performance of PEM Fuel Cells
Authors: Chiu Han Chieh , Jang Jer Huan , Yan Wei Mon , Lee Chun I , Yang Chang Chung
Published: June 2012

This paper experimentally investigates the dynamic response of a single fuel cell under various dynamic loadings with different operating conditions. Three kinds of loadings are applied to the PEM fuel cell and they are simulated NEDC mode, simulated 10/15 mode, and modified mode. The operating conditions are set at different cell temperatures, humidification temperatures, and stoichiometric rates during each test to study the effects of these parameters on the cell performance of a PEM fuel cell. The cell performance is found increased with increasing cell temperature in the range of 45-65°C. On the other hand, there exist optimal conditions for the humidification temperature and the stoichiometric rate at 70°C/60°C and 1.5/2.0 on the anode and cathode sides, respectively.
Harmonic Monitoring Based on BP Neural Network
Authors: Liu Bai Fen , Chen Yun , Fang Xian Wu
Published: June 2012

This article applies the BP neural network theory into the measuring of harmonics, through the model automatically learn training capacity to create real-time monitoring model of harmonic. And that I am using matlab simulation, to obtained harmonic simulation data. Through this simulation technology to monitor the harmonic and obtain real-time data, the data can provide reference for harmonic suppression.
Adaptive K-Means Algorithm with Dynamically Changing Cluster Centers and K-Value
Authors: Deng Ai Ping , Xiao Ben , Yuan Hui Yong
Published: June 2012

In allusion to the disadvantage of having to obtain the number of clusters in advance and the sensitivity to selecting initial clustering centers in the K-means algorithm, an improved K-means algorithm is proposed, that the cluster centers and the number of clusters are dynamically changing. The new algorithm determines the cluster centers by calculating the density of data points and shared nearest neighbor similarity, and controls the clustering categories by using the average shared nearest neighbor self-similarity.The experimental results of IRIS testing data set show that the algorithm can select the cluster cennters and can distinguish between different types of cluster efficiently.
Blind Source Separation Based on Non-Gaussianity
Authors: Yang Bai Zhan
Published: June 2012

Independent component analysis is an efficient way to solve blind source separation, which has been broadly used in many fields, such as speech recognition, image processing, wireless communication system, biomedical signal processing etc. Independent component analysis for the traditional ways to solve the blind source separation problem only considers the non-Gaussian signal, without taking into account the time structure of the signal information. Proposed based on generalized self-related and non-Gaussian source separation method, the full account of the non-Gaussian signal and time structure information, to solve the blind source separation problem in the time structure of the signal. Finally, this simulation method is validated, the simulation results show that the method is effective and worthy of promotion.
Research on the Adaptive Algorithm for Interference Cancellation
Authors: Dai Jing , Zhang Feng , Zhang Hui
Published: June 2012

A adaptive interference cancellation algorithm was proposed in this paper. The MATLAB simulation results of the performance of five different kinds of adaptive interference cancellation algorithm were presented. According to the comparison of the simulation results, especially the usage of resource, convergence rate and effects of cancellation, the frequency-domain block LMS algorithm was selected suitable for the further design on FPGA. By simulating the functions by modelsim, and analyzing the PSD curve and the constellation of output signals, the adaptive interference cancellation algorithm system based on frequency-domain block LMS achieved expected effect. The better in-band flatness of the PSD curve and the higher convergence rate on constellation were obtained. Therefore, the frequency-domain block LMS adaptive interference cancellation algorithm is chosen as the design with high performance-price ratio.
Synthesis and Structure of Zinc Oxide Aerogel
Authors: Chen Bo Wei , Bi Yu Tie , Zhang Lin
Published: June 2012

The zinc-based aerogel was synthesized via a sol-gel route that it was processed using Zinc chloride as precursor, polyacrylic acid as the template and propylene oxide as the gelation agent. The Zn-based aerogel is formed the length and cross-link of the zinc chloride hydroxide chain, owing to a dominant influence of PAA on the nucleation and growth position of sol nucleus. Nevertheless, ZnO aerogel was prepared with the method that the zinc-based aerogel was calcined at 400°C. Consequently, the RWP value was in reasonable 7.35% according to X-ray diffraction pattern (XRD) refinement. The crystal system of the ZnO aerogel was monoclinic.
Reduction Algorithms of Incomplete Covering Decision Systems
Authors: Zhang Shao Pu , Feng Tao
Published: June 2012

This paper discusses the reduction algorithms of an incomplete covering decision system. Firstly, we give the definition of a new pair of upper and lower approximations in an incomplete covering information system and give their axiomatic characterizations. Then, we introduce the special conditional entropy and the limitary conditional entropy of a covering decision system with multi-coverings and study the reduction of coverings by means of special conditional entropy (limitary conditional entropy) in -consistent (inconsistent) covering decision systems. Two algorithms are designed to compute reductions of the -consistent and inconsistent covering decision systems, respectively.
A Novel Approach to Computing with Words: A Statistical Algorithm for Algebra Operations of Cloud Model
Authors: Luo Zi Qiang , Cao Peng , Liu Xiao Wen , Ma Sheng Quan
Published: June 2012

Computing with words is a methodology in which concepts, linguistic values or words, instead of numbers for computing and reasoning. Cloud model is a novel cognitive model for uncertain transformation between linguistic concepts and quantitative values. It should go without saying that computing with words based on cloud model is an important research study direction. After the algebra operations rule of cloud model is introduced, this paper presents a simple statistical algorithm to solve the computational problem of algebra operations for cloud model. Then, it proves that the statistical algorithm could reach any given precision level as long as cloud drops increase. Finally, we analyze the character of the statistical algorithm and the relationship with the operations rule for cloud model.
Research on Extension of the Fuzzy Rough Set Theory
Authors: Zhang Yu
Published: June 2012

With the probability rules and the degree of coverage of elements in the partition set, and the combination of the Fuzzy Set Theory and Rough Set Theory, a new extension of Fuzzy Rough Set theory was proposed. It is defined the maximum of Rough Set membership function, the minimum of Rough Set membership function, the average of Rough Set membership function, the upper minimum of Rough Set membership function and the lower maximum of Rough Set membership function. The properties of the extension for the Rough Set membership functions are also given. This made Fuzzy Set Theory and Rough Set Theory complemented each other and provided a new way to deal with incomplete data.
Reliability-Based Structural Optimization Using Sequential Response Surface Method
Authors: Zhao Wei Tao , Yang Yi , Yu Tian Jun
Published: June 2012

A design method of reliability-based structural optimization has a powerful advantage because some random variables can be considered. However, the sensitivity analysis of reliability with respect to random variables is very complicated and its computational cost is very expensive. Thus, a response surface method is adopted for approximating the limit state function to improve computational efficiency. An iterative strategy is used to determine a response surface that is able to fit the limit state function in the neighborhood of the design point. A sequential response surface method is performed to satisfy the demand of accuracy in the process of reliability-based structural optimization. A numerical example is presented to demonstrate the computational efficiency of the proposed method.
Research in SVM Sample Optimizes of ISODATA Algorithm
Authors: Zhao Zhen Jiang , Gao Wei , Wang Huai Zhong , Zhang Ke Fei
Published: June 2012

Support Vector Machine is widely used in data classification, but in the case of more training samples, the training time is longer. To solve this problem, use the ISODATA clustering algorithm to cluster samples to obtain the new cluster center, together with high similarity to the error for the sample to form a new cluster of training samples, training support vector machines. So that a solution of high similarity to repeat the training samples of similar problems, while focusing on the easily lead to wrong classification of the training samples. The support vector machine classification accuracy can be improved, and also reduces the training time, to make it more convenient for engineering application.
Research on Encryption Algorithm Conforming to AES in WLAN
Authors: Li Jia , Gan Li , Du Fang Fang
Published: June 2012

As the daughter of modern wireless communication technology & computer network technology, Wireless Local Area Network(WLAN) is being used widely in many areas. It is well known that WLAN has the advantages such as simple network configuration, high transmission rate, good extensibility and mobility, and convenience to carry, etc. However, its security mechanism is not perfect to guarantee its security because of some design flaws in safety precautions. The application of AES in WLAN improves its data confidentiality. The work presented in this paper focuses on present AES encryption algorithm security problem and optimization of its S Box. The improved algorithm this paper put forward in WLAN, is proved to be efficient.
The Research of Image Segmentation Algorithms
Authors: Chi Zeng Xiao , Shi Lin
Published: June 2012

The paper mainly studies the algorithm of image segmentation. We divide an image into several areas using the method of combining segmentation algorithm based on edge with segmentation algorithm based on region, for the later use of image analysis and image understanding.
A Rapid Initial Alignment Alogrithm Based on Strapdown Gyrocompass
Authors: Li Si Hai , Yan Gong Min , Yang Peng Xiang , Qin Yong Yuan
Published: June 2012

The basic principles for stabilized gyrocompass initial alignment are analyzed in platform inertial navigation system (PINS), then similar principles and initial alignment algorithms suitable for programming are proposed for strapdown inertial navigation system (SINS). The scheme of SINS gyrocompass initial alignment can be divided into four steps, including leveling alignment with header uncertainty, coarse header alignment, leveling realignment and gyrocompass alignment for header. By simplifying SINS nonlinear error model under header uncertainty, the formula of coarse header alignment is deduced. On the assumption of navigation computer having large memory and powerful computing ability, and basing on the ‘multiformity’ of SINS mathematical platform and the ability to attitude reverse control, a specific progress for SINS rapid gyrocompass alignment is introduced and designed in detail. Finally, some tests prove that the proposed alignment algorithm in this paper is effective.
3D Visualization Algorithm Based on Terrain Partitioning and Dynamic Levels of Details
Authors: Wang Wei Hong , Qiu Hong Lin , Li Wei
Published: June 2012

By improving on the Quad-tree LOD algorithm, this paper proposes a new algorithm based on the terrain partitioning and simplifying the terrain by using grid models of different levels of detail dynamically.This algorithm can be reduced the number of triangular facets in the terrain scene.The experimental results show that this algorithm can generate continuous multi-resolution terrain model and improve the efficiency of real-time rendering.
Preparation of Nanostructured TiO2 Electrode by an Organic-Medium Screen Printing Technique
Authors: Zhang Han Ping , Qin Li Li
Published: June 2012

An organic-medium screen printing technique was applied to fabricate dye-sensitized nanocrystalline microporous TiO2 electrodes. The TiO2 colloid was prepared by hydrothermal method, then the colloid was mixed with anhydrous terpineol, polyacrylate, TX-100 and ethanolic solution of ethylene cellulose to prepare TiO2 film electrodes. The cells based on these TiO2 film electrodes exhibited good photoelectrochemical properties under 100mW/cm2 illumination intensity. The overall energy conversion efficiency of 6.49% has been achieved for the resulting cells in this paper.
Research on Optimize Scheduling Model and Heuristic Algorithm Based on Capacity Balance
Authors: Xue Dong Juan
Published: June 2012

To optimize scheduling pertaining to two production units and many tasks in flexible production, a dynamic scheduling model was proposed considering capacity balance. Each production unit was modeled as a kind of container whose capacity symbolized the container capacity. The capacity was divided as planned and spared parts. Joining spared capacities in two units, the state-to-art dynamic scheduling rules were created according to hydro-mechanical theory. A practical heuristic algorithm was developed for this model. The model was tested as feasible and effective in a case study conducted at an actual business.
Transitional Compensation Algorithm for Correcting Non-Uniformity of LED Display Image
Authors: Su Wan Xin , Chen Yun Shan
Published: June 2012

In order to solve the problem of high non-uniformity of LED display images which is caused by the edges of LED display panel during module splicing, transitional compensation algorithm is proposed by improving the existed correction technique named the correction technique based on CCD. First, introduce the three development stages of the LED display panel. Then, the realization progress of the transitional compensation algorithm is described in detail after elaborating the principle of transitional compensation. Finally, the algorithm is emplaned in a LED video control system to control the LED display panel whose display area is 1280×960, and which is spliced by 30×20 LED modules whose size are 64×32. Experimental results show that this algorithm is able to reduce non-uniformity of LED display images from 29.3% before correcting to 0.95%.
Analysis on Using Average Curvature Algorithm to Simplify the Mapping of Large-Scale Battlefield Terrain Space Grids with LOD and its Errors
Authors: Liu Shi Bin , Liu Xing Yan , Yang Yan Ping , Wang Cheng
Published: June 2012

When mapping large-scale battlefield terrain, in order to make a real-time show it on the computer it is required to keep the vector data (points, lines, areas) at the high curvature and delete the vector data at the low curvature as much as possible. This article puts forward a simplified algorithm to calculate the average curvature of the space mesh points with level of detail (LOD) model technique as well as the visualization implementation of this algorithm. Then according to this algorithm, work out the curvature value of the mesh points, delete the center points of the low curvature and triangularize the cavity left so as to simplify LOD model and reduce dramatically the number of the vector data (points, lines, areas) in the field of view of the large-scale battlefield terrain. Experiments show the average curvature algorithm put forward in this article can better solve the contradiction between the big vector data and the limited real-time processing capacity of the computer. As a result, it can meet the requirements of mapping great number of real-time data of the large-scale battlefield terrain by 3 D visualization.