bluuebunny/crossref_metadata_2025 huggingface dataset:
A Novel Adaptive Underwater Image Biorthogonal Basic Wavelet Transform De-Noising Approach
Authors: Sheng Ming Wei , Pang Yong Jie , Huang Hai , Zhang Tie Dong
Published: September 2013

AUVs are usually equipped with video cameras to obtain the environment underwater information. Underwater images often suffer from effects such as diffusion, scatter and caustics. In order to improve the image quality and contrast, image restoration is need to be carried out before other image process. In this paper, a novel adaptive de-noising algorithm based on multi-wavelet transform was proposed in order to remove the Gaussian noise from the blurred underwater image. Firstly, the Gaussian noise deterioration of the image model was given. Secondly, the wavelet transform algorithm using Biorthogonal as a basic wavelet for underwater image decomposition and reconstruction was presented. Finally, Haar and Biorthogonal basic wavelet were chosen separately for adaptive de-noising algorithm for the blurred image restoration. By contrast with other filter methods, the experiment results verified its useful behaviors, and demonstrate that the raised de-noising approach can achieve fairly desired de-noising effectiveness for underwater image.
Research on Stereoscopic Video Compression Technology of Living Culture Resource
Authors: Ren Hui , Li Hua , Lu Yong Jie , Su Zhi Bin
Published: September 2013

Living culture resource is very important among kinds of human resources, so preserving it has great significance in the development and heritage of culture. This paper compared and simulated several existing compression technologies of stereoscopic video which have been widely used in video coding. The experiment results showed that using H.264 for monocular data compression of each eye is most suitable for recording stereoscopic video of living culture resource. This research will benefit the culture protection and technology development in our country.
Error Concealment Scheme for Intra Frames Based on Spatial and Temporal Interpolation
Authors: Wei Geng , Wang Ruo Ying , Zhang Yu Dong
Published: September 2013

The lost of a block in an intra frame will damage the video quality extremely. In this paper, an efficient concealment for intra frame is proposed based on the spatial and temporal domain interpolation. For spatial domain concealment, the weighted interpolation (WI) and texture prediction (TP) are adopted according to the blocks surrounding the damaged macroblock (MB). If the blocks surrounding the damaged MB are all available, the TP method will be used. Otherwise the WI method will be used. For temporal domain, motion vector copy (MVC) is adopted for the interpolation. Simulation results have shown that the proposed method can significantly improve the quality of the video.
Scratchpads Based Optimization for 3D Picture Display on Mobile Devices
Authors: Xia Hong Wei , Hu Wei , Zou Dai Kun , Li Wen Fei , Guo Hong
Published: September 2013

Mobile devices such as smartphones have been used widely used nowadays for their portability, flexibility and functionality. Embedded operating systems have provided powerful support to these devices. More complex applications can be developed and used for them. However, mobile devices are still resource limited and this is a problem for many programs such as 3D picture display programs. In this paper, a novel approach is proposed to optimize the performance of 3D picture processing programs. The process of 3D picture processing was analyzed and scratchpads were used as the on-chip buffer for it. The experimental results showed that our approach could achieve its design target.
Research on Mathematical Structure of Information Field
Authors: Mu Yan , Duan Rong
Published: September 2013

In this paper, the mathematical structure of information filed is main topic for discussion in this paper, for example, mutual information, information strength, relativity and their characters. The paper firstly defines information transmission function, mean information distance and information plane which are used to measure the strength of information transmission, and also put forward their account formulas.
Converse Comparison Theorems for Backward Stochastic Differential Equations
Authors: Huang Xiao Qin , Jiang Wei Hua , Liu Xiao Jie
Published: September 2013

In this note, we establish a converse comparison theorem for backward stochastic differential equations (BSDEs).
Data Privacy Preservation in Wireless Sensor Networks Based on Multi-Secret Sharing Scheme
Authors: Zhou Jun , Yang Zhen Yu
Published: September 2013

The Internet of things is widespread concerned by the whole society now. As an important component of the Internet of things, wireless sensor network has wide application prospect in various fields such as medical and health, military defense. The traditional data privacy protection technology of PKI system used in the WSN networks has its own weakness. This paper presents the secret key sharing mechanism to protect data privacy. The secret key, remote node and base station used to communicate, was divided into multiple secrets. The multiple secrets were distributed in the nodes which connect directly to the base station node. Only through collect more than threshold number of multi-secret that can decrypt the communication data between the base station and the remote node. To be safer, we used digital watermarking technology to protect the data transmission between the base station and the aggregate node. These techniques combined with the data slice, homomorphism encryption technology to protect data privacy, construct a safe and efficient wireless sensor networks.
Optimization Design of a Small Aperture Cassegrain Antenna for 8mm Band Detector
Authors: Fan Jiso Jiso , Wu Li , Peng Shu Sheng
Published: September 2013

In this paper, a small aperture Cassegrain antenna of 8mm band detector is optimally designed, whose main reflector diameter is limited at 96mm (diameter less than 30λ). After design and processing, this antenna measured results show its gain is 26dB, the sidelobe level is close to-12dB and-3dB beam-width is 4.8 °.These are consistent with simulation optimization results.
Development of Detection System for Cotton Plastic Covering Using Ultrasonic
Authors: Zhang Qi , Hua Liang , Yao Juan
Published: September 2013

Polyethylene is widely used as mulching plastic film in china cotton area. Collecting plastic film residue using machine is difficult. The cotton mixed with plastic film residue is badly harmful to cotton production, and causes great loss to cotton spinning enterprise. The detection system for cotton plastic covering using ultrasonic is developed in the paper. Sound wave echo method is used to detect plastic film residue mixed in seed cotton. The SCM is used to process echo signal and compensate measurement error caused by temperature variation. Experimental result shows that the system developed in the paper have features of low lost, high detection accuracy, high resolution and it has broad prospect in application.
Implementation of Vehicle Detection System Using WSN
Authors: Li Yun Long , Wang Chun Xin , Zhou Xiao Li , Wang Huan Juan , Liu Ya Kun
Published: September 2013

Vehicle Detection System plays a basic role in the field of intelligent transportation, and is the cornerstone of constructing modern intelligent transportation system. This paper presents a new vehicle detection algorithm using WSN that called the adaptive state machine. The algorithm can adaptively update the threshold and baseline; use the state machine to achieve the aim of the accurate and efficient vehicle detection. It can be used for the detection of road traffic flow, and can be used in large parking vehicle guidance system. On the road, we have deployed 76 Sensor Nodes to evaluate the performance. We observe the accurate of the road vehicle detection rate of vehicle detection system is nearly 98%.
A Novel Radio Interferometric Time Delay Tracking Scheme
Authors: Huang Yi , Hu Ai Qun , Xie Sheng Dong , Zhu De Lai
Published: September 2013

This paper presents a novel sinusoidal signal time delay tracking scheme based on radio interferometric for wireless sensor networks. We first design an interference signal composed of two sinusoidals with different frequencies in a transmitter. Then a sinusoidal signal time delay tracking algorithm based on DTFT is also presented. Compared with the source-separated radio interferometric time delay estimation (RITDE) technology, the proposed scheme can directly acquire time delay between two rather than among four receivers. Hence it can be employed directly to the traditional time-difference-of-arrival (TDOA) localization algorithm. Simulation results confirm the efficiency and superior performance of the DTFT-based algorithm as compared to the existing filter-based approaches.
A Portable Mind Wave Monitor Headrest Applied in Sleep Promotion
Authors: Qiao Dan Yang , Guo Yi Jing , Lin Bin , Zeng Hai Hang , Wu Jun Ying
Published: September 2013

This paper introduces a kind of headrest, which can improve sleeping, based on the mindset EEG device platform. It can extract the information of brain waves on the human body during the sleep and shorten the time to fall asleep. This headrest can fluctuate according to the human brain's EEG curve characteristic value extraction hypnotized. By calling Android phone music player software and media library before broadcasting via headphone in terms of the bluetooth device, users enable to fall asleep quickly. Headrest design structure enhances the comfort of its usage. The headrest is available in a variety of occasions.
Remote Sensing Technology in Flood Monitoring and Assessment Application
Authors: Li Xiao Tao , Huang Shi Feng , Le Gai , Sun Ya Yong
Published: September 2013

This paper expounds the research situation of remote sensing technology in the flood disaster monitoring and evaluation. And some of the application of domestic and foreign better remote sensing monitoring and evaluation system of flood disaster are introduced in this paper. Some current problems of remote sensing monitoring and evaluation of flood disaster and the future development trend are also presented in this paper.
IP Camera Based Network Video Surveillance Mobile Security System
Authors: Chen Long , Chen Shuan , He Yu Qing , Wei Jian Guo , Dang Jian Wu
Published: September 2013

In this paper, we proposed a mobile security system based on IP camera network video surveillance by improving the traditional monitoring methods. This system includes three parts: Android mobile client, cloud server, IP camera monitoring terminals. By setting IP cameras at 24 fps but only sending one frame each second, we can infer the situation by analyzing of the single image and reduce the amount of data transmission. User can check the live scenes and send control commands to monitoring terminal or receive the push information from the server to freely give alarm signal to users anytime, anywhere. And users can also select any regions or any specific objects to monitor, the server will real-time monitor each scene according to the specific requirements by using the algorithms of image contrast and depth estimation. The experiment results show that the system can greatly improve the accuracy of the alarm.
High-Speed Drift-Enhanced Multiple-Junction Photodetector with Si-Based Subwavelength Gratings
Authors: Zhang Ke Rui , Huang Yong Qing , Duan Xiao Feng
Published: September 2013

We demonstrate a new multiple-junction photodetector incorporating concentric circular subwavelength gratings as a broadband reflector. A quantum efficiency of 81% and a 3dB bandwidth of 121 GHz are simultaneously obtained due to the suitable design of junction number and absorption layer thickness.
High-Speed Acquisition and Filtering of Yarn Signal
Authors: Xu Ying Jie , Gao Ming Yu , He Zhi Wei
Published: September 2013

We have designed a photoelectric yarn signal acquisition system, which is based on the STM32 processor, having a sample rate up to 270kHz, and uploading data collection through synchronous parallel communication mode; Owing to the large noise of yarn signal and the unobviousness of yarn defect, we respectively adopting wiener filter and mean filter to filter this signal; The simulation result of matlab has manifested that both the wiener filter and mean filter can effectively decrease the noise level of the yarn signal and make the nep defects easier to identify, and that the wiener filter applies to application where the yarn speed is higher , while the mean filter is appropriate to the lower speed spinner.
Human Gait Signal Analysis Using Time-Frequency Distribution with Complex-Lag
Authors: Wu Li , Yang Yue , Wang Lei , Peng Shu Sheng
Published: September 2013

As a novel biometric identification technology, human gait recognition has wide applications in public security and other fields. Aiming to solving problems of conventional Time-Frequency analysis of human gait signal, the paper presented a processing method that adopts time-frequency distribution with complex-lag. Firstly, the human walking Doppler signal model and the principle of time-frequency distribution with complex-lag were introduced. Then the signal based on the model was generated and was analyzed utilizing Spectrogram, WVD and time-frequency distribution with complex-lag. The results show that the presented method has the best performance since its high time-frequency concentration and less cross-terms disturbances.
Design and Simulation of Piezoresistive Pressure Sensor for Ocean Depth Measurements
Authors: Tang Guan Rong , Di Si , Xu Xin , Chen Qiu Lan
Published: September 2013

This paper presents the design and simulation of a piezoresistive pressure sensor with wide operation range (up to the pressure of 1000 m-deep water). Structural and electrical simulations were carried out using COMSOL Multiphysics 4.3. The dimension of the membrane, and the geometry and placement of piezoresistors, were optimized through structural simulations. Electrical simulations were used to evaluate the performance of selected sensors. The output characteristics revealed good linearity throughout the measurement range with sensitivities of 0.4500~0.8964 mV/V/MPa. The optimum design of sensor was determined according to the simulation results.
A Method for Building Geographical Conditions Ontology Attribute Library: Taking Tianjin as an Example
Authors: Zhang Zhi Jun , Shi Ting Yu , Yu Zhong Hai
Published: September 2013

As a new tool and new approach in the scientific development of surveying and mapping service, the mission of geographic national condition monitoring is to provide objective, fair and accurate thematic information for integrated decision-making at all levels of government. How to realize the semantic sharing of geographic national condition thematic information is the key problem for geographic national condition to provide cross-industry, cross-sector and interdisciplinary information service. Based on ontology theory, this paper proposed a method for building geographic national conditions ontology attribute database. Tianjin geographic national conditions monitoring content and its service users are selected as knowledge domain and conceptualization and formal representation is made for geographic national information, protégé software is used to build ontology attribute library.
The Application of Remote Sensing and Aero-Geophysics Data Fusion on Metallogenic Prognosis in Qimantage of East Kunlun Montain Area
Authors: Jia Wei Jie , Zhang Hong Rui , Lin Jian , Zhao Hong Lei
Published: September 2013

Based on west of Qimantage of East Kunlun mountain area, takes advantage of ASTER data, according to the altered mineral spectral characteristics, remote sensing alteration information is extracted. Incorporation the anomaly extraction results with high-precision aero geophysical data processing results, a multiple resource information fusion model is proposed. The fusion model of two totally different type of data which is a special attention in geospatial academia now, which can improve the accuracy of geospatial data application. our fusion result analysis show that it provides information more accurately and sufficiently than separate geospatial data application. The fusion can provide decision-making support for mineral resources prediction.
An Improved AC Pattern Matching Algorithm
Authors: Jia Mo , Chen Mei , Li Hui
Published: September 2013

In this paper, we study how to improve the efficiency of classic AC matching algorithm for scanning systems, and proposed an algorithm named AC-SUN based on Sunday matching algorithm. In our design, AC-SUN combines jumps strengths of Sunday algorithm and AC algorithm to avoid verbatim matching problem, meanwhile it retaining the advantages of the AC algorithm that establishes state tree and invalid pointer to increasing successful matching percentage. Our experimental result also verified its superiority to the classic AC algorithm.
Studying Acoustic Characteristics of Submarine Optic Fiber Cable
Authors: Wang Ying Jian , Qiao Xiao Rui , Li Chun Guang
Published: September 2013

The acoustic detection of SOFC is a current research hotspot, the acoustic characteristics of SOFC are very important to design of detection system. In this paper, we use Kirchhoff approximation to solve the buried SOFC scattering sound field, in order to calculate more convenient, we introduce the concept of effective target strength, and simulate the theoretical results, the result shows that, the work mode which has low working frequency, narrow beam, and large grazing angle can reach the require, provides reference for later work.
Design of a Digital Pulse Frequency Mode for the DC-DC Converter
Authors: Lei Xin , Deng Jun , Zhang Yan Lin , Xu Huang , Huang Xiao Zong , Tao Yi , Li Yu Jing
Published: September 2013

The classical model in digital DC-DC converter is digital pulse width mode (DPWM), but the digital pulse frequency mode (DPFM) is very important in DC-DC converter with light load. This paper presents the different application environments and the effect between the two modes. There are two common different DPFM structures analyzed in this paper. And a novel DPFM circuit is proposed, which needs only external clock, not affected by the duty cycle of the clock. The circuit and layout are designed with 0.13um CMOS technology. The simulation results of the circuit meet the requirements of design.
Precise Electrical Characterization of LEDs with Wide-Band Material
Authors: Li Yang , Feng Lie Feng , Wang Cun Da , Xing Qiong Yong
Published: September 2013

The accurate electrical properties of semiconductor GaN based blue Light-Emitting Diodes (LED) with Multiple-Quantum Well (MQW) structure and GaAsP based red LED, were measured by single Capacitance-Voltage (C-V) method and single Current-Voltage (I-V) method at large forward bias. After comparing the experimental results, we found that the apparent capacitance Cp of GaN based blue LED and GaAsP based red LED measured by C-V method display obviously negative value at large forward bias and low frequency, which is in conflict with the well known Shockley's p-n junction theory and model. Besides, the precise Characterization of apparent capacitance Cp and apparent conductance Gp is obtained.
Ka-Band Radiation Pattern Reconfigurable Microstrip Patch Antenna Employing MEMS Switches
Authors: Deng Zhong Liang , Gong Hua , Fan Sen , Chen Cai Hu
Published: September 2013

This article describes the design of a microstrip patch antenna with radiation pattern reconfigurable characteristic, where two monolithically integrated MEMS switches are utilized. By changing the physical dimension of the antenna, its radiation pattern could be changed. Moreover, we present detailed structures of these RF MEMS switches, whose isolation and insertion loss are-23.12 dB and-0.09 dB at operating frequency, respectively. And the resonant frequency of the antenna is 35.4 GHz and the bandwidth is 6.69%. All the results are simulated.
Decentralized Robust Feedback Linearization Control Based on Integrity
Authors: Chen Jin Li , Xue Ya Li , Li Dong Hai
Published: September 2013

Decentralized Robust Feedback Linearization (DRFL) approach based on integrity for multivariable systems is presented. It uses a model observer to compensate the non-modeled dynamics, system uncertainties, and external disturbances of a system. Firstly, the existence of DRFL controllers with integrity is examined. Then, stable regions of each DRFL controller parameters are calculated, and some parameters are obtained by placing suitable closed-loop poles, for meeting the design specifications for the whole control system. The proposed method is applied to an illustrative example. Results demonstrate that DRFL control is feasible and robust for complicated multivariable systems.
Queueing Netwoks Theory Based Analysis Approach for Aircraft Sortie Generation
Authors: Hou Fei , Li Yao Yu , Wu Jun
Published: September 2013

This paper concentrates the carrier aircraft sortie generation evaluation problem. Based on the analysis of aircraft sortie process, we construct a Markov queueing network based aircraft sortie evaluation model, which contains the whole evaluation system and details. Finally, a simulation experiment is given to test our method and model, and simulation result proves its veracity and can be used to provide suggestion to commanders.
The Basic Control System of an Ocean Exploration AUV
Authors: Zhang Lei , Jiang Da Peng , Zhao Jin Xin
Published: September 2013

Autonomous Underwater Vehicle (AUV) which could finish autonomous mission process is paid more and more attention. As an artificial intelligence system, AUV has high independence, reliability and adaptability to ocean environment. An efficient architecture of AUV plays an important roll in achieving those properties. A newly developed AUV, ZT-AUV, which is used for ocean exploring, is introduced. And its basic control system architecture is depicted. Both the hardware and software in the control system are described. Finally, the experiments in tank and those at sea are conducted to test the architecture and the methods of the control system, and the results prove that the control system of the AUV is reliable, flexible and extensible.
Harmonization of Feeder Terminal Unit Information Model Based on IEC 61850 and IEC 61968/61970
Authors: Han Guo Zheng
Published: September 2013

The feeder terminal unit (FTU) is a kind of distribution remote terminal unit along distribution feeders and communication with master stations (MS) in control centre. IEC 61970/61968/61850 are three important standard for smart grid. IEC 61850 logical nodes are used for FTUs information model, and IEC 61970/61968 common information model (CIM) are using in MS. To realizing seamless access FTUs to MS, harmonization of IEC 61850 and IEC 61968/61970 are studied. The status information (such as position of switch) and measurement information (such as current, voltage) are realizing mapping from IEC 61850 to IEC 61968/61970. So, the seamless communication between the master station and FTU is realized.
Facial Expression Recognition of Home Service Robots
Authors: Chen Xiang Zhang , Yin Zhi Hao , Cai Ze Su , Zhu Ding Ding
Published: September 2013

It is of great significance that a home service robot can recognize facial expressions of a human being. This thesis suggests that features of facial expressions be extracted with PCA, and facial expressions be recognized by distance-based Hashing K-nearest neighbor classification. First, Haar-like feature and AdaBoost algorithm is adopted to detect a face and preprocess the face image; then PCA is applied to extract features of the facial expression, those features will be inserted into the hash table; finally, the facial expression can be recognized by K-nearest neighbor classification algorithm. As concluded, recognition efficiency can be greatly improved after reconstructing the feature database into hash tables.
Development of a Vision Recognition System for Unmanned Aerial Helicopter Automatic Landing System
Authors: Tseng Stephen , Lou Ji Hung , Liao Wang Ting
Published: September 2013

An embedded vision recognition system is developed for a regular UAH to provide guidance information during hovering and landing. An innovative landing mark has been designed to facilitate the image processing while provide relative heading, height, and coordinate for navigation. The system can provide 30 Hz updating rate to the UAH avionic system. Simulation and real-world tests have shown promising performance and results for future applications.
Key Technologies Research of the Interoperable Model Verification Based on CIM/E
Authors: Zhang Hong , Huang Hai Feng , Zhu Gui Ying
Published: September 2013

Power Grid in China integration running trend makes EMS(Energy Management System) at all levels of information exchange between the increasingly urgent demand. And CIM is the most important base information. In order to solve the model information differences between different EMS, this paper analyzes the current EMS model information related to the standardization of applications, from standard CIM model, the model file formats and file content model three aspects, based on interoperable standards IEC61970 process-oriented information model calibration and validation process for each part of the key technologies are discussed in detail. Through the practical application of the method validation results show that the calibration method is reasonable and correct.
The Performance Analysis and Comparison of the Simplified Method of the Doubly-Fed Wind Generator Model
Authors: Li Zhi Yan , Liu Qi Hui , Wang Xiao Ming
Published: September 2013

This article puts forward a simplified method of the doubly-fed induction generator (DFIG for short) model innovatively based on the DFIG control principle. This paper establishes two different degrees of simplification models with equivalence of the converter model and the generator model respectively, and compares the operating performance of each model under the same operating condition. The simulation results show that, the two simplified models have high accuracy, and speed up the simulation efficiency effectively, which is suitable for the study of large-scale wind power generation in power system.
Evaluation Method Research on Trunk Highway Traffic Safety Based on AHP
Authors: Chang Yu , Dai Lei Lei , Ma Zhao You
Published: September 2013

The quantity and damage degree caused by the traffic accidents on trunk highways always take the big part in the highway traffic accidents. Now, there are no more and complete evaluation methods for the trunk highway traffic safety. Whats more, the index system is not perfect. Based on the characters of traffic safety on trunk highways and feasible factors of information collection, this article confirms 3-level evaluation index system for 20 evaluation indexes and the evaluation methods for trunk highway traffic safety based on AHP. Taking Xiake Blvd of Jiangyin City as example, this article analyzes and proves the efficiency and feasibility of these methods. The evaluation results can provide the basis for the improvement of highway traffic safety.
A Syntactic Reordering Model of Chinese Special Sentences for Patent Machine Translation
Authors: Hu Ren Fen , Zhu Yun , Jin Yao Hong , Chen Jia Yong
Published: September 2013

This paper presents a rule-based model to deal with the long distance reordering of Chinese special sentences. In this model, we firstly identify special prepositions and their syntax levels. After that, sentences are parsed and transformed to be much closer to English word order with reordering rules. We evaluate our method within a patent MT system, which shows a great advantage over reordering with statistical methods. With the presented reordering model, the performance of patent machine translation of Chinese special sentences is effectually improved.
Gene Expression Programming Based on Parallel Tabu Search for Improving Model Accuracy
Authors: Zhang Xue Dong , Li Jing
Published: September 2013

To improve model accuracy,tabu search is introduced to Gene Expression Programming (GEP) and impoves GEPs local search ability, Gene Expression Programming Based on Parallel Tabu Search (PTS-GEP) is proposed. In PTS-GEP, the research conducts experiment over the data from previously reported research and compares the result to two other algorithms namely simple GEP, UC-GEP. The results demonstrate the optimal performance of PTS-GEP in model accuracy.
A Study on Approximation Performances of Improved Bp Neural Networks Based on LM Algorithms
Authors: Ding Shuo , Chang Xiao Heng , Wu Qing Hui
Published: September 2013

When approximating nonlinear functions, standard BP algorithms and traditional improved BP algorithms have low convergence rate and tend to be stuck in local minimums. In this paper, standard BP algorithm is improved by numerical optimization algorithm. Firstly, the principle of Levenberg-Marquardt algorithm is introduced. Secondly, to test its approximation performance, LMBP neural network is programmed via MATLAB7.0 taking specific nonlinear function as an example. Thirdly, its approximation result is compared with those of standard BP algorithm and adaptive learning rate algorithm. Simulation results indicate that compared with standard BP algorithm and adaptive learning rate algorithm, LMBP algorithm overcomes deficiencies ranging from poor convergence ability, prolonged convergence time, increasing iteration steps to nonconvergence. Thus with its good approximation ability, LMBP algorithm is the most suitable for medium-sized networks.
Study for Evaluation Method Based on Neural Networks
Authors: Wang Yi , Ding Han , Yang Fan
Published: September 2013

In human social life, it is often need to make comprehensive evaluation for person, thing , or a project to carry on the classification or evaluation. Analytic hierarchy process is relatively common and the most simple evaluation model. It draw up a series of evaluation index according to the evaluation object. The index may contain multiple child index, according to the relationship between the indexes or artificial factors to determine tie index weight, and get the overall evaluation for objects. The artificial factor is too much, it can not objectively reflect the real situation of the evaluation object. This paper proposed a evaluation method based on neural networks, based on the indexed of the analytic hierarchy process, through using the expert evaluation samples, by the BP neural network to study, so as to get the objective weight of the indexes, and then reflect the real situation of the evaluation objects.
A Novel Evolutionary Algorithm with Improved Genetic Operator and Crossover Strategy
Authors: Yao Huan Ming , Cai Ming Di , Wang Jie Kai , Hu Rui Kai , Liang Yu
Published: September 2013

An improved evolutionary algorithm (SCAGA) is proposed in this paper. The algorithm is based on new population initialization method and genetic operator. SCAGA adopts the crossover probability and mutation probability that vary with the increase of evolution generation in order to control genetic operations in an effective range. Meanwhile, SCAGA presents a new crossover strategy that restricts the cross of the chromosomes to some extent to protect good genes schema. The schema theorem is employed in the algorithm to analyze the working mechanism of SCAGA. According to experiment results for test functions and TSP problems, SCAGA is effective.
Constructing Immunoglobulin-Based Artificial Immune Algorithm for Parallel-Machine Scheduling
Authors: Huang Ching Jen , Liao Li Man
Published: September 2013

This paper considers the parallel-machine scheduling with preference of machines so as to minimizing total tardiness. An immunoglobulin-based artificial immune (IAI) algorithm is constructed for searching the best production sequence of aluminum foil factory. The IAI algorithm has a systematic immune mechanism which mainly is built on somatic hypermutation and recombination methods. There are three categories of immunoglobulin in somatic hypermutation for constructing antibody proliferation mechanism to obtain superior antibodies. To avoid falling into local optimal solutions, receptor editing mechanism suppresses the worse solutions to accelerate convergence. And reverse mechanism is developed in somatic recombination to generate some new antibodies. The computational results show that the performance of IAI is significant improvement to the EDD based heuristic. Therefore, the proposed IAI algorithm is competitive for the parallel-machine scheduling problem.
The Realization of Genetic Algorithm in Terms of Checkers Evaluation Function
Authors: Su Zhe , Li Shu Qin , Jia Yun Lu , Zheng Li Wei , Fan Si Cong
Published: September 2013

The GA(Genetic Algorithm) is used in this paper to solve the evaluation problem in the checkers game. The evaluation parameter is chosen based on six critical facts, such as the number of black pieces and the number of red pieces. The evaluation function is linear with different weights. Using the weights as the chromosome, along with the local hill-climbing method in GA and the mathematical statistical method to choose child generation, the algorithm realizes evolution automatically. With sufficient evolution times, new chromosome appears, leading to the formation of an optimized evaluation function. Based on the experimental data analysis, the algorithm could enhance the power of checkers program effectively.
Training Neural Networks by Continued Fractional Weight Functions
Authors: Zhang Dai Yuan
Published: September 2013

To solve the training problems for complex problems, a new learning algorithm based on continued fractional weight function for training neural networks is proposed, which is different from that of polynomial weight functions. The continued fractional weight functions using interpolation methods are more suitable for training the patterns obtained by some rational problems. The analysis of generalization is also presented in this paper. At last, to illustrate the power of the new learning algorithm, a simulation example is presented to show that the new algorithm proposed in this paper has good performance both on generalization and calculating precision.
The Design of Intelligent Service System in the Power Supply Enterprises Based on SOA
Authors: Dai Qing Hui , Zhang Rui Hong
Published: September 2013

In power supply enterprises, providing intelligent service for the residential users is a very crucial approach to increase the customer satisfaction. Taking the demand of residential users as the center, analyze the basic design goal of the intelligence service system and the functions of four subsystems. This paper apply the SOA design idea in building the frame structure of the intelligent service system in power supply enterprises, and the content of every layer in this frame structure is introduced. Then the safe electricity utilization expert system, which belongs to a newly built service, is given an explanation on. Through this intelligent service system, it is convenient for the power supply enterprises to provide users with accurate, efficient, on-demand, proactive and security intelligence services. The application of SOA design idea can make more efficient use of the existing resources and also can make the system have good extensibility, to lay a foundation for the future development of intelligence service in the power supply enterprises.
Two Systematic Methods for Generating Paths in Twisted Cube Networks
Authors: Lai Pao Lien , Hu Kao Ling , Hsu Hong Chun
Published: September 2013

The twisted cubeTQnis an alternative to the popular hypercube network and some interesting properties of aTQnwere investigated recently. The problem of how to embed paths into a host graph has attracted a great attention in recent years. However, there are few systematic methods proposed to generate the desired paths in aTQn. In this paper, we provide two kinds of systematic methods of embedding paths into aTQn.
Binary Tree DNA Computing Model Based on the Insert - Remove System
Authors: Wang Qing Hu , Pei Zhi Li , Lian Jie , Wu Bin
Published: September 2013

DNA computing has the support of automata theory completely, based on the equivalent for expressing problem by DNA computing model and the double-shift language in automata theory, using a DNA molecule may encode the instantaneous description of Turing machine, and the operation of continuous sequence can be realized by the DNA molecule s operation with enzymes. Insert - Remove System is a computing system in DNA computing, designed an Binary Tree DNA computing model based on the Insert - Remove System in this paper, which can realize the insert, delete and traversal operation, and has the completeness of the theory.
Improving Frequent-Term Based Text Clustering with Word Belief Network
Authors: Zhang Yong , Liu Rui Fang , Luo Rui Yang
Published: September 2013

The algorithm of frequent-term based text clustering (FTC) can be applied to news topic clustering system, in order to help users locate interested topics and articles quickly. But it is difficult to set support threshold for mining association rules. This paper tries to build a word belief network, which satisfies basic rules of small worlds. So we can improve FTC algorithm with characteristics of small worlds and implement text clustering quickly. The paper puts forward an idea that adopts inverted index into this algorithm, which simplifies programming and improves operation efficiency. The experimental results verified that the system could find current hot news topics efficiently and users could locate their interested document collection.
An Adaptive Differential Evolution Algorithm for Flow Shop Scheduling to Minimize Makespan
Authors: Zhou Yan Ping
Published: September 2013

This paper proposed an adaptive differential evolution algorithm. The algorithm has an adaptive mutation factor which can be nonlinear reduced along with evolution process. Mutation factor is declined slowly in the beginning of evolution process in order to improve the global searching ability of the algorithm, and declined rapidly in the later of evolution process. The proposed algorithm is applied to solve flow shop scheduling to minimize makespan, computational experiments on a typical scheduling benchmark shows that the algorithm has a good performance.
The Study on the Hot Topics of Improvisation Research Based on the Co-Word Analysis
Authors: Gao Peng Bin , Wu Wei Wei , Yu Bo
Published: September 2013

The research of improvisation has been become an emerging management area in recent years, the purpose of this study is to explore the hot topics of this research domain. Co-word analysis was performed by using the keywords of relevant publications in the improvisational field included by Web of Knowledge database from 1997 to 2012. The results of multivariate statistical techniques show that the improvisation research involves many fields including organizational theory, innovation, learning, entrepreneurship, strategy and change. The social network analysis was used to trace the dynamic changes of the improvisation research, and results show that improvisation field has some established research themes and it also changes rapidly to embrace new themes.
Earthquake Magnitude Prediction Model Based on the GEP Algorithm and Markov Chain
Authors: Chen Qing Hua , Liu Zhi
Published: September 2013

This paper introduces a method which uses the gene expression programming algorithm to conduct multivariate nonlinear function modeling, which is applied in the earthquake magnitude prediction. The experiment shows that the prediction accuracy of the GEP is significantly higher than that of the neural network model. Finally, by using the non-delayed effects and stability of the earthquake magnitude prediction data, the state-transition matrix is obtained through the Markov chain, and the state interval and corresponding probability of the GEP model prediction are obtained. In this way, the credibility of the prediction results has been increased.
Research on the Key Technology of Agricultural Production and Market Information Matching System under the Cloud Computing Background
Authors: Wang Shuo , Liu Shi Hong
Published: September 2013

The thesis firstly takes advantage of open source search engine (Nutch) to build the market space data warehouse and data sources, collecting agricultural products market information from the whole internet, on the basis of analyzing the existing agricultural production and market information matching system, then it puts forward the interest-model and combination matching algorithm more suitable for users in agricultural fields. At the same time, this article improves the existing matching system in the cloud computing background under the support of Hadoop distributed platform to solve the bottleneck problems such as the expanding ability of storage space and the efficiency of analysis and calculation confronted by the agricultural products market information matching system. Finally, the system makes a comparative analysis of recall ratio and precision ratio to prove its effectiveness and practical range. The aim of this paper is to make the agricultural production and market information matching system more suitable for Chinese agricultural production and marketing information system which supports the matching management decision of agricultural production circulation consumption and provides beneficial reference for the application of cloud computing technology.
Analysis of the Community Business Mode Based on Mobile Internet
Authors: Gao Juan
Published: September 2013

Location based service is one of the main application of mobile internet. Thecombination of traditional community business and mobile internet is the location-basedbusiness mode of online to offline. This article tries to analyze the mode fromfour aspects: the strategic positioning, open platform, marketing mode andprofit mode. Location-based mobile application, such as, Mobile phone map, wechat,automated check-in, etc., may add customers to the community stores, but also challengetheir service .
Analysis on Influence Factors of Implementing E-Government Public Cloud
Authors: Li Gang , Zhang Qing Pu , Wang Wei , Feng Zheng Qian
Published: September 2013

It is widely accepted that cloud computing as a new technology can effectively promote e-government application. Nowadays, China is actively promoting the applications of e-government public cloud. In order to accelerate its step, it is necessary to find critical influence factors of implementing e-government cloud. We analyze current situation of Chinas e-government and existing cloud computing technologies, and discuss the importance of cloud computing to e-government. Meanwhile, combining with the practical issues of implementing e-government cloud, we analyze existing factors of e-government and propose an influence factor model of implementing e-government cloud in China based on Gil-Garcias critical factor of e-government. Furthermore, it articulates suggestions for further research and provides the foundation for research of this field.
The Relationship between Advertising on Video Website and User Experience: An Exploratory Research Based on System Dynamics
Authors: Huang Yi Jun , Jia Yi Min
Published: September 2013

For video websites, advertising is an important method to earn operating funds. They always increase advertising to get more profit. Thus it may have a negative effect on user experience. In order to know how to reduce the negative effect, this paper offers a system dynamics method to analyze the relationship between advertising on video website and user experience. The model highlights six factors that affect user experience: level of advertising design, number of ads, level of website design, degree of advertising hidden, length of ads and degree of advertising mandatory. Real data are collected through financial reports and survey. Based on the simulation results, some opinions and suggestions for advertising are put up.
The Creation of Ergonomics Database Using Ergo&Log© Analytical Application
Authors: Beňo Rastislav , Homokyová Mária , Horváthová Martina
Published: September 2013

Today, needs of an ergonomics rationalization and optimization of work conditions starting to be the top theme not only in Slovak republic but also in the whole central Europe. It is widely accepted that ergonomics helps to minimize the influence of risk factors which affect the creation of injuries and damage to health. Ergonomics also help to reach the higher effectiveness of human work and also the productivity of work. For the economic and all – society development is necessary step by step passing to the orientation of employees’ requirements analysis, because the employees are active in production and also in associated logistic processes. This orientation should finally lead to the direct improvement of work performance as well as to the development of employees’ intellectual capital [1]. This article is focused on introducing a database – analytical application Ergo&Log, which was created as a part of first author dissertation thesis outputs. Presented application is oriented to the identification and evaluation of employee harm and problems with musculoskeletal system. This application allows creation of databases, which are usable into the company as well as in national level and at the same time allows the realization of orientation ergonomic analysis.
The Study on Risk Assessment System of Information Security in Financial Transaction
Authors: Lu Dan
Published: September 2013

Trading information safety is affected by all kinds of risks in transaction process. According to the characteristics of financial risk in financial transactions, with a financial enterprise related data as a sample, this article compared and analyzed the importance of different risk factors in trading information flow links though the digital simulation method. Then used the square root method to give different factors with different weights and check the consistency of these weight values. This process constructed risk management system for transaction information security in financial enterprises.
Study and Implementation on Seat Management System Based on Android OS
Authors: Kan Hong Hai , Xie Jun Hong , Chen Jing , Zheng Lei
Published: September 2013

In order to improve the utilization rate of library seats, lots of libraries now begin to use seat management systems, most of which are mainly based on fixed touch screen terminals and users are required to operate locally. In order to solve this problem, here we put forward a solution based on the mobile phones, panel computers and other mobile terminals. The terminal solution to the seat management system in this paper is based on android system which is a mainstream operating system for mobile devices. The new solution has advantages such as low cost of deployment, fast response, convenient use and so on; moreover, the new solution can be applied to other fields such as car parking management.