bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Cultivating of Students' Innovative Practical Ability Based on the Practice Platform of Science and Technology
Authors: Shi Yu , Liu Hua , Li Chuan Lin , Sun Hong Ying
Published: December 2014

The Student Research Training Program has become a new effective measure to improve the quality of talents and cultivate college students' innovative consciousness and innovative ability in many colleges and universities. At the same time, the innovative practical ability of college students is the enterprise demand for job seekers. This paper firstly discusses the composition of the practice platform of science and technology and the importance of cultivating students' innovative practical ability. Combined with the enterprise management model, this paper presents the basic method of students' innovation management. Finally achieve the targets which could comprehensively cultivate the innovative consciousness and improve the innovation ability of students.
The Development of Scaffolding and its Effects on the Sense of Community in Online Education
Authors: Zhao Rong
Published: December 2014

Sense of community refers to individuals’ strong feelings of community, which plays a significant role in attracting and retaining learners in online education. This study argued that properly-constructed scaffolding can enhance the sense of community in online education. Data were collected from 299 university students, and the relationships between the scaffolding and the sense of community were examined by path analysis. It was proved that scaffolding has significant effects on both the connectedness and learning aspects of the sense of community.
Computer Technology and EFL Teaching in China
Authors: Li Rui  Qing
Published: December 2014

This article depicts the history of computer and multimedia assisted English teaching, reviews the research held in this field and the two-phase practice, analyzes the advantages and existing problems in computer assisted EFL teaching, and describes the new trends of it that has just appeared and will definitely influence the English teaching profoundly.
A Design of CRM System for Mineral Trade Platform
Authors: Zhu Yi Fan , Xu Li , Yang Hang , Han Zhao
Published: December 2014

An increasing number of organizations are starting the customer relationship management systems to promote the quality of service. In the field of mineral trade, recording and analyzing the contracts between two parties is important to a third-party to offer intermediary services. This article designs a system to shortage the contracts and gives an easy way to analyze the contract relationship.
A Quick Reduction Algorithm Based on Important Index
Authors: Chen Xin Ying , Li Guan Yu
Published: December 2014

This paper tries to find a more feasible method to achieve core and reduction. Against concepts "distinguishable relation of attribute set" and "distinguishable unit set of attribute set", it defines a concept "important index", and proposes an effective and quick approach for important index. After drawn out the involved theory and equivalent proposition, also presents algorithms for core and reduction upon the important index. The heuristic reduction algorithm adopts the bottom-up design, and gets reduction based on the heuristic information "important index of attribute set". The complexity of the algorithm in space is O(m), and the complexity in time is O(mn2). The theoretical analysis and results show that the ways proposed here simplify the relevant operations and are suitable to deal with the huge volume of data.
Research on Large and Medium-Size Enterprise Value Added Tax Invoice Management System Construction
Authors: Chen Yu
Published: December 2014

Based on the domestic value-added tax management status and the trend of transforming the business tax into value-added tax, this article analyze the development process of the value-added tax informationization and determine the content of VAT invoice management system. At the same time, it also explores the IT implementation model and prospect implementation effect, which could guide the system construction of large and medium-size enterprises.
Research on the Coordinating Relations between Capital Airport and the Economic Development of Beijing
Authors: Ji Shou Wen , Hu Jie , Li Chun Fang
Published: December 2014

In the context of the era of speed economic, the airport as a quick means of transportation, promote the rapid flow of local people, capital, technology and other factors of production, promote local economic development, and development of the airport is also inseparable from the support of the local economy, Therefore, Use the airport and local economic data for data processing,and analyzing the degree of coupled development of airport and local economic scientifically, planning for further improving coordination between the airport and the city, and promoting coordinated development between them is important.
SWOT Analysis & Strategic Research on Sino-Russia Energy Cooperation
Authors: Liu Xiu Li , Sun Yan Bin , Yan Dong Xu , Hao Jun Xiang
Published: December 2014

Energy cooperation is one of the prerequisites for the development of modern industry and the world economy, China-Russia energy cooperation is an important part of China-Russia economic and trade cooperation between the two countries, and is also an important field of development of bilateral strategic partnership.China is the world's oil-producing and consuming countries, demand for oil and gas has great; Russia is oil and gas producing and exporting countries in the world, rich in oil and gas resources. China-Russia neighboring each other,China-Russia energy cooperation between the two countries is not only need and significance of strengthening China-Russia strategic cooperative partnership. Firstly, the paper use of SWOT analysis on China-Russia cooperation in energy analysis of the strengths, weaknesses, opportunities, threats and finally put forward the China-Russia energy cooperation strategy. Strengthening China-Russia energy cooperation is conducive to ensuring China's energy security, but also to Russia's exports to China more energy, the China-Russia energy cooperation is a win-win and mutually beneficial cooperation.
Knowledge Diffusion and Innovation Research in Virtual Contexts
Authors: Wu Bing , Zhang Chen Yan
Published: December 2014

Knowledge creation and diffusion in determining growth performance is still a hot topic. We gleaned from science citation index expanded (SCI-EXPANED) and Social Sciences Citation Index (SSCI) database on web of science, concerning advances in knowledge diffusion research in virtual contexts. The result indicates that the main research territory is Italy, accounting for 22.222%. The number of citations on this topic mainly distributes in recently 3 years, reaching climax of 16 in 2012. And from the analysis of research area, there are five main areas: business economics, environment science ecology, geography, public administration, and social sciences other topics. Particularly, the percentage of publication in business economics is 55.556%. Overall, the relating knowledge diffusion and innovation research topics can be classified into five aspects: infrastructures, capacities, performance, policies and modeling.
The Study on Product Promotion Design and its Mechanism
Authors: Shi Xi
Published: December 2014

Product promotion designing is an important aspect of product design. Price promotion is a kind of the product promotion, which lead to the success of product design. Based on the existing literatures, this paper introduces the definition of price promotion, types of price promotion, effect of price promotion, the mechanism of price promotion. These are important for designing a successful product promotion.
Study on Fuzzy Comprehensive Evaluation Model of Teacher’s Performance
Authors: Wang Xiao Ping , Jiang Li , Zhong Jia Ming
Published: December 2014

First, it obtains the university teacher performance evaluation index framework by utilizing Delphi method. Then, it constructs the comprehensive quality evaluation hierarchy model by applying the analytic hierarchy process, to obtain the weight for each index, and based on which to establish fuzzy comprehensive evaluation model. After this, it acquires a new method for university teachers' performance evaluation, and provides examples to prove the feasibility and effectiveness of this method.
A Quantitative Study of Demotivators of Senior High School under the Age of Modern Information Technology
Authors: Xie Gui Mei
Published: December 2014

Under the age of information technology, learners’ demotivators present different traits. The paper conducted a study on a Beijing Local Municipal Senior High School which is city-owned and does not enjoy too much priorities and performed average among all Beijing Middle High schools in terms of college entrance exam rate which would be a barometer of all the high schools in the city. The paper tried to figure out 7 demotivators that distracted middle school students in their process of studying English as a foreign language: learner-level factor, teacher-related competence factor, practicability factor, teacher’s behaviour factor, career plan factor, text length factor and parents’ stress factor. The implication of the SPSS showed that learner related demotivation is one of the biggest demotivators while in the western countries teacher factor is one of the biggest factors demotivating students according to some studies. There is no significant difference between the self-reported less motivated learners and more motivated learners among the middle school students.
Advances in Information Foraging Research
Authors: Wu Bing , Zhang Chen Yan
Published: December 2014

Information Foraging Theory (IFT) explains and predicts how people navigate in response to the information in their environment. It has proven particularly helpful in both behavior prediction and practical utility for Web design. We gleaned from science citation index expanded (SCI-EXPANED) and Social Sciences Citation Index (SSCI) database on web of science, concerning advances in information foraging research. The result indicates that the main research territory is USA accounting for 64.706%, then followed by IRELAND of 11.765%. Accordingly, the organizations are Indiana Univ Natl Univ Ireland Univ Coll Cork, Oregon State Univ Parc and Univ Memphis. The number of publication literature on this topic mainly distributes in recently 7 years, reaching climax of 6 in 2013. And from the analysis of research area, research on computer science accounts for 70.588%. Accordingly the percentage of source title as decision support systems is 11.765%. Overall, the related research topics can be classified in four areas: long tail research, software engineering research, information search behaviour and emergency response. New opportunities for future research are discussed in the end.
Tracking a Maneuvering Target in Clutter by Asynchronous and Heterogeneous Sensors on Single Airborne Platform
Authors: Wu Wei Hua , Jiang Jing , Feng Xun , Liu Chong Yang
Published: December 2014

A new algorithm is proposed for tracking a maneuvering target in clutter using heterogeneous sensors, such as active and passive sensors, which are carried on single moving airborne platform and report their observations asynchronously. The algorithm combining interacting multiple model (IMM) with probabilistic data association filter (PDAF) is sequentially implemented to cope with asynchronous reports. In addition, in order to close to practice, the algorithm is based on Earth-centered Earth-fixed (ECEF) coordinate system while it considers the effect of the platform’s attitude. So the algorithm extends previous algorithms from synchronous case to asynchronous case, from fixed station to moving airborne platform, and from local Cartesian coordinates to general ECEF coordinates. The simulation results show that the proposed algorithm has a broader and more practical scope while being slightly worse than existing algorithm which only be applied under synchronous case.
Comprehensive Evaluation of Network Information Security Based on Dynamic Fuzzy Mathematics
Authors: Li Xin , Chen Dong Sheng
Published: December 2014

Based on the theory of dynamic fuzzy logic, dynamic fuzzy sets and dynamic fuzzy evaluation method are proposed. According to the index system of evaluation of network information security, dynamic fuzzy weight matrix and the single factor evaluation matrix are determined first. Then by multi-level dynamic fuzzy recursion numerical processing of the comment weight vectors, evaluation result is obtained, which not only reflects the current situation of network information security but also predicts its development trend in future. This evaluation method is relatively object and comprehensive compared to previous ones.
A Role-Performance Strategy of State Grid Unified Application Platform
Authors: Li Wei Wei , Wang Chen , Zhou Cheng , Shi Jian
Published: December 2014

Based on the State Grid Unified Application Platform as the carrier, this paper proposed an extensible access control policy. For a long time, the combination of electric power enterprise internal environment and traditional access control are very inadequate. The traditional access control model on the current unified platform access and control permissions interaction problems is almost blank. Therefore, this paper puts forward an improved access control model. The model has solves some key problems of access control in State Grid Unified Application Platform , such as specific role division, interaction between roles, permissions delivery, senior role inherited permissions unlimited scale-up, and permissions linkage.
Composition and Key Technologies of Fast and Accurate NSFS
Authors: Wu Zhong Hong , Shi Zhang Song
Published: December 2014

In response to the need of precision naval surface fire support tasks,the composition of accurate and rapid naval surface fire support system basedon unmanned platform has been proposed, the potential combat styles andcorresponding process of the scenarios may brought up by the system are constructed,the key technologies involved to realize the system are analyzed. It’s areference that new technologies used to construct information warfare system.
Prediction of siRNA Efficacy Using BP Neural Network and Support Vector Machine
Authors: Wang Xuan , Zhang Fa
Published: December 2014

RNA interference (RNAi) is a mechanism for sequence-specific, post-transcriptional down-regulation of gene expression. The success of RNAi gene silencing depends on siRNA feature design. The shortcoming of previously reported methods which design siRNA sequences based on limited rules is that they are difficult to accurately predict the efficacy that a candidate siRNA sequence will silence the target gene. With validated siRNA databases have been developed in recent years, machine learning methods can be applied to predict siRNA accuracy and optimize design. This paper proposed a combined prediction method of BP neural network and support vector machine (SVM) for selecting effective siRNA sequences. With SVM, siRNA sequences were classified into effective or ineffective siRNAs. Subsequently, BP neural network model with great learning ability selected highly effective candidate sequences from effective siRNAs. We applied this method to published siRNAs datasets, and the experimental results confirmed good prediction capability.
A Self-Learning Algorithm for Primitive Actions’ Affordances of Nuclear Power Plant Maintenance Robot
Authors: Liu Chun Yang , Zhang Jing Wei , Zheng Xue Feng , Tu Xu Yan
Published: December 2014

In this paper, an algorithm concerning the primitive action affordances of learning nuclear power plant maintenance robot is presented. The algorithm generates a random matching data set through a new matching method, which is utilized for the selection of object operation, with the matching rate improved by trial and error, and then the attempt number for a successful operation is reduced. In the end, simulation is conducted to verify the feasibility and correctness of the proposed algorithm.
Another Method for the Polar Coordinates Newton Raphson Power Flow Calculation
Authors: Huang Yue Hua , Xu Bing Sen , Jiang Yu Huan , Zou Yan
Published: December 2014

With the development of the society, the power system flow calculation becomes more important. Another new method for the polar coordinates Newton Raphson power flow calculation was proposed according to the power system operating characteristics. This research eliminated the vacant of the Jacobian matrix completely, reduced the amount of computer memory requirements greatly and also canceled the inversion completely.
A Comparative Study of Image Segmentation Based on the Improved Meanshift Software with Edison
Authors: Li Ning , Xu Jing Wen , Zhao Jun Fang , Zhao Yu Dan , Hou Peng
Published: December 2014

Image segmentation is the technique and the process to separate the image into regions which have different characteristics and extract the interested objects from the image. Meanwhile, image segmentation is a vital important issue in many fields such as image processing, pattern recognition and artificial intelligence and it has wide application in various fields. This paper performs a great deal of contrastive analysis experiments on a series of images by using improved meanshift software and Edison software. The results show that improved meanshift software is easier to segment clearly than Edison in terms of similar color; the improved meanshift software segmentation is smoother than Edison in image shadow, the segmentation results hold favorable consistency in terms of human perception; the improved meanshift software segmentation is clearer than Edison in texture segmentation such as vegetation. The improved meanshift software has a better effect on the segmentation of boundary, road, etc. Both of them can remove the noise points effectively, but improved meanshift software is more sensitive to brightness; while the Edison software has a faster speed compared to the improved meanshift software.
A Multi-Feature Fusion Tracking Method Based on Mean Shift and Particle Filter
Authors: Zhang Ming Jie , Kang Bao Sheng
Published: December 2014

In order to improve the robustness of visual tracking in complex environments, a novel multi-feature fusion tracking method based on mean shift and particle filter is proposed. In the proposed method, the color and shape information are adaptively fused to represent the target observation, and incorporating mean shift method into particle filter method. The method can overcome the degeneracy problem of particle. Experimental results demonstrate that this method can improve stability and accuracy of tracking.
A New Frequency Agility Technique against Common-Frequency Interference
Authors: Lv Bo , Liang Si Yang , Shi Lin
Published: December 2014

Aiming at the problem of common-frequency interference among gun-pointing radars, frequency agility technique was introduced. The reason why existing technique of frequency agility can’t investigate and identify common-frequency interference effectively was analyzed. A new frequency agility technique based on auxiliary channel and full-time reconnaissance and receiving is presented. Auxiliary channel investigates and identifies environmental signals full-time not intermittent, then uses microwave cancellation technique to eliminate local radar’s emission pulses. As a result, when auxiliary channel amplitude is greater than the main channel, it must be common-frequency interference. The above measures guarantee the accurate identification of common-frequency interference.
A Recognition Method of Gait by Wavelet Transform and Genetic Algorithm
Authors: Shi Yun , Wang Xu Qi , Zhang Yu Cheng
Published: December 2014

A new recognition method of gait is presented in this paper. In this method, the feature vector of gait is found by multidistinguish analysis of wavelet transform, and gait is recognized by genetic algorithm (GA). This method is different from the traditional method of correlation matching recognition gait. First, the stored space reduces greatly because recognition model is used to replace the store of gait profile image template. Thus this method reduces stored memory greatly. Second real-time is ensured in the process of gait recognition by using GA. The experiments of recognition using the three kinds of gait databases are performed. The experiment results show the feasibility and effectiveness of the proposed method.
Airborne Multispectral Imager Used in the UAV
Authors: Wang Chun Yu , Dong Qing Wei , Li Yang , Xie Xin Yue
Published: December 2014

Under existing conditions, the use of optical lens, imaging spectrometer, and the establishment of a rectangular CMOS image sensor spectral imaging system. Wide spectrum of white LED illuminated sample, by ordinary optical imaging lens, then the multi-channel narrowband filter array on the image plane splitting, and finally by the CMOS image acquisition system, converting optical signals into electrical signals, and then converted by the analog-digital converter chip to a digital signal to the computer. Finally, computer-spectral image cube collected for processing. At the same time, the advantages of airborne multispectral imager used in the UAV trials, obtain higher picture quality, and maintain a portable, imaging speed, and further validate the reliability of the experimental system.
Detection Experiment Research of Harmonic Current for Single-Phase Active Power Filter
Authors: Shao He Feng , Quan Hui Min
Published: December 2014

In order to solve the problem of detecting harmonic and reactive currents of single-phase APF, the paper gives a detection method for real time harmonic current and reactive current. In the paper, it makes use of some characteristics of triangle function, and calculates the amplitude of active and reactive component from load current. Then the DC component can be extracted by using a low-pass filter, namely the required active component and reactive component. This paper analyzes the characteristics of two kinds of low pass filter, and selects the superior performance moving average filter for experiment. The paper introduces the design of the software and hardware process. The circuit configuration of the proposed approach used in the single-phase system is simple, its dynamic response speed is fast and its detection precision is high. The result of the experiment shows that the proposed approach is feasible and valid.
Driver Fatigue Detection Algorithm Research Based on the Characteristics of Eyes
Authors: Wang Qin , Tang Lan , Yang Kun
Published: December 2014

In driver fatigue warning system, it is a very effective method for detecting Driver fatigue state through the driver's facial expressions and body movements. The main content of this article is to detect the two basic states of the eyes opening and closing and presents the LBP texture detection operator. Firstly we get the face image sequences using infrared video and extract the eye region using ADABOOST. The SVM is used in classifying feature vector of the eyes open and closed detecting of driver fatigue. A large number of experimental results show that the proposed method has high detection accuracy and timeliness.
Extraction of Ocean Fronts Based on Empirical Mode Decomposition
Authors: Wang Xiong Liang , Wang Chun Ling
Published: December 2014

Ocean front is a narrow transitional zone that the penetration of sea is obviously different between two or more waters there. It is an important feature of geophysical turbulence which plays an important role in ocean dynamics. Ocean fronts become visible on radar images because they are associated with a variable surface current which modulates the sea surface roughness and thus the backscattered radar power. This paper propose a new integrated method to extract ocean fronts based on two-dimensional Empirical Mode Decomposition (EMD), image edge detection and mathematical morphology processing. Experimental results show that this integrated method can be effective in ocean front feature extraction.
Fusion of Polarization Image Based on Contourlet Transform
Authors: Zhang De Xiang , Wang Hong Hai , Zhang Jing Jing
Published: December 2014

The contourlet transform is a new two-dimensional extension of the wavelet transform using multiscale and directional filter banks and has better approximation precision and better sparse description. Firstly, the magnitude of polarization image and angle of polarization image can be decomposed into low-frequency coefficients and high-frequency coefficients with multi-scales and multi-directions using the contourlet transform. For the low-frequency coefficients, the average fusion method is used. For the each directional high frequency sub-band coefficients, the larger value of region teager energy information measurement is used to select the better coefficients for fusion. At last the fused image can be obtained by utilizing inverse transform for fused contourlet coefficients. Experimental results show that the proposed algorithm works better in preserving the edges and texture information compared with the traditional image fusion algorithms.
Key Techniques of Fast Photographic Geological Logging in Exploration Tunnel
Authors: Mao Yu Feng , Li Hao , He Yan Lan
Published: December 2014

Because of the special geometric shape and narrow space of exploration tunnel, field geological logging in exploration tunnels has always been staying at manual drafting stage with low efficiency and low level of informatization. This paper studies the existing issues of photographic geological logging in exploration tunnel, including the control method, image acquisition method, geometric correction of original images and the generation of display images, etc. This paper realizes fast acquisition and processing of the image data of geological logging, meeting the accuracy requirement of photographic geological logging in exploration tunnels, filling the vacancy of photographic geological logging technologies in exploration tunnels, improving the efficiency, level of automation and informatization of geological logging in exploration tunnels.
Quick Median Filtering Algorithms Based on FPGA
Authors: Li Gui Li , Wu Hong En , Zhong Pei Si
Published: December 2014

Median filtering is an important approach in digital image processing for noise elimination. An improved median filtering algorithm (IMFA) is proposed which can be implemented with only 17 comparisons and 6 clocks delay for 3×3 median filtering mathematical model based on field programmable gate array (FPGA). The algorithm benefits from the parallel processing and pipelining structure of FPGA hardware. At first, the characteristics, basic operational principle and computing process of the IMFA are presented. And then the algorithm using modular technique and top-down design flow methodology with Verilog HDL are programed. At last, some simulation verifications for the algorithm by ModelSim and experimental verification on FPGA hardware platform are carried out. The IMFA can get a large number of data throughput and more quickly processing speed and less hardware resources than similar filtering algorithms.
Saliency Detection Based on Multi-Scale Superpixel and Dictionary Learning
Authors: Hou Gang , Yan He Xin , Zhang Fan , Hou Hui Rong , Zhang Ming
Published: December 2014

In recent years, saliency detection has been gaining increasing attention since it could significantly boost many content-based multimedia applications. In this paper, we propose a visual saliency detection algorithm based on multi-scale superpixel and dictionary learning . Firstly, in each scale space, we extract the boundaries as the training samples to learn a dictionary through sparse coding and dictionary learning methods. Then, according to reconstruction error of each superpixel, the saliency map is generated for each scale of superpixel. Finally, some saliency maps from different scale spaces are fused together to generate the final saliency map. The experimental results show that the proposed algorithm can highlight the salient regions uniformly and performs better compared with the other five methods.
Salt-and-Pepper Noise Removal Based on Image Patch Reordering
Authors: Wang Xiong Liang , Wang Chun Ling
Published: December 2014

A new method based on image patch reordering for removing salt-and-pepper noise from corrupted images is presented. Firstly, the problem of salt-and-pepper noise removal can be turned into the problem of image in-painting. Then, we can use the image patch reordering method to recover the missing pixels and fulfill the salt-and-pepper noise removal. Experimental results demonstrate that the proposed method obtain much better performance in terms of both qualitative and quantitative assessment. Especially, the proposed method provides the improvement in the performance of noise suppression and detail preservation.
Study on Insect Pests Detection Based on Digital Image
Authors: Zhao Yu Dan , Xu Jing Wen , Zhao Jun Fang , Li Xin , Liu Shuang
Published: December 2014

This paper mainly performs Cascade AdaBoost algorithm based on multi-feature to detect the images of Eurydema dominulus, which will cause harm to crucifer. Firstly, the mixing of HAAR features and LBP features is adopted instead of the single-feature of traditional model, which makes description of images more comprehensively from the angle of the gradient and texture. And then use the best features selected by Gentle AdaBoost algorithm to compose the weak classifier and the strong classifier. And the cascade detector is composed of the trained classifiers of each layer according to a certain screening rate. Experimental results show that the method of detection has the probability of dis-detecting and leak-detecting, but it still has a certain reference value in the field of agricultural plant diseases and insect pests detection for its good robustness.
Explore Traditional Chinese Medicine Prescription Compatibility Based on Local Partial Least Squares
Authors: Wang Zhuo , Nie Bin , Yu Ri Yue
Published: December 2014

Explore Traditional Chinese Medicine prescription based on Local partial least squares (LPLS). Method: mathematical modeling base on LPLS, gain the VIP sorting, loadings Bi plot. Results: seek out the optimized direction of the prescription. Conclusion: the method optimization the compatibility of the dachengqi decoction is feasible and effective.
The Calibration of Binocular Stereo Vision for the Camera Based on Machine Vision Measurement
Authors: Yang Xiao Jing , Wang Si Qi
Published: December 2014

Camera calibration is the most important stage of machine vision measurement. The principle and method of camera calibration for binocular stereo vision system are introduced and the left and right CCD are respectively calibrated by using the prepared calibration target and the MATLAB program. Then internal and external camera parameters are obtained by the calibration experiments. The experimental results show that the calibration results have high precision.
Facial Expression Recognition Using Directional Local Binary Pattern
Authors: Tong Ying , Wang Kun , Jiao Liang Bao
Published: December 2014

Local binary pattern (LBP) descriptor could not efficiently describe the gray change in different directions of facial expressions characteristic regions. For this, the directional local binary pattern (DLBP) is put forward to represent facial geometrical characteristic. DLBP encodes the directional information of the face’s facial textures in horizontal, vertical and diagonal three directions, which can effectively describe the characteristic of facial muscles, wrinkles and other local deformation. Experimental results on JAFFE databases demonstrate the algorithm’s effectiveness, where nearly 5 percent recognition rate improvement is obtained beyond traditional LBP. Additional experiments verify robustness and reliability of the proposed DLBP operator within Gaussian white noise and pepper salt noise.
Research of Fatigue Driving Warning System Based on Android
Authors: Duan Jing Li , Zhang Chun Fei , Wang Qiu Shuang
Published: December 2014

This paper proposed a method for detecting fatigue detection Android smart phone system, and applied to the Android system. The system monitors the state of fatigue by smart phones photographs. Face detection method is used to localize the eyes of the driver and the eye region is extracted to monitor the movement of eyelids. An alarm rule is designed based on the PERCLOS standard to detect drowsy driving.Experiments show that the method is accurate rate, running speed, and can be used to monitor driver fatigue during the day.
Study of Precautionary Assistance System of Lane Keeping Based on Monocular Vision
Authors: Lin Li Zong , Huang Chao , Chen Jian Feng , Zhou Luo Shan , Han Shuai
Published: December 2014

The precautionary assistance system of lane keeping based on monocular vision obtains the road edge features, decides which driving conditions is happened using the fuzzy controller, then gives drivers the corresponding precautionary instructions. In order to improve the processing speed and reduce the needed memory space, the combination of the searching method of connected area and Randomized Hough Transform (RHT) based on two-dimension listing table storage are first proposed in the study, which detects the road edge features. The fuzzy controller is designed with two input and single output, which gives the precautionary instructions in real time. The method proposed in the study is proved that the detection algorithm is simple, and compute velocity is fast, which is fit for the high speed in vehicle driving.
The Influence of Structural Parameters on the Sound Absorption Performance of Micro Perforated Absorber
Authors: Sun Meng Zi , Huang Fei , Li Hua Jing
Published: December 2014

The sound absorption performance of MPA (micro perforated absorber) mainly depends on its structural parameters. Reasonable parameter combination will get a high absorption coefficient. In this paper numerical simulation was used to study sound absorption performance. By this means, the influence of the different parameters on the sound absorption performance are discovered. To verify the result of numerical simulation, MPA samples are fabricated using optimized parameters by laser machining method. The sound absorption performances of these samples are tested and the experimental result is consistent with that of numerical simulation.
Radar Target Recognition Based on Sparse Representation of Dictionary Optimized
Authors: Duan Pei Pei , Li Hui , Li Qi
Published: December 2014

The high range resolution profile samples are numerous and sparse. But less radar target recognition algorithms based on high range resolution profiles (HRRP) employed the sparseness of HRRP samples. A new radar target recognition algorithm using a fast sparse decomposition method is presented here. This algorithm was to be carried out in three major steps. First, the Gabor redundant dictionary was partitioned according to its atom characteristics to decrease the atoms storage. Then, the matching pursuit algorithm was improved by the genetic algorithm and the fast cross-correlations calculation to accelerate training samples decomposition and generate the taxonomic dictionaries. Finally, the reconstruction errors of testing samples were used to recognize different radar targets. The simulations show that this method can resist noise disturbs and its recognition rate is high.
Research on Image Encryption Based on Double Chaos System with Mutual Disturbance
Authors: Jin J.G. , Ma Gang , Wei Ming Jun
Published: December 2014

Low-dimensional chaotic encryption has a good operational efficiency but there is a problem of security flaws, therefore this paper proposes a composite chaos encryption system based on double mapping. Double mapping with mutual disturbance were used to generate the key sequence, and respectively with odd and even number of image pixels to realize the image encryption. The simulation results show that, the effect is very good; Correlation and so on security analysis shows that meet the requirements of the security; System overall evaluation results show that the proposed algorithm has better security and ease of implementation, can effectively resist brute force attack, statistic attack etc.
Genetic Algorithm for the Capacitated Chinese Postman Problem on Mixed Networks
Authors: Ma Yu Hong , Tian Gui Long , Li Xian
Published: December 2014

The genetic algorithm is used to investigate the Chinese postman problem with the constraints of working time span and load capacity for postman on mixed networks. In course of chromosome encoding, the priority-based encoding for serving edges set is used, and the priority and the strategy of “serve while going” in the shortest path is integrated to use in course of decoding. A genetic scheme is designed to solve the capacitated Chinese postman problem without translating arc routing problem into node routing problem. The simulation experiments show that the methods is feasible and efficient, it can easily solve the capacitated Chinese postman problems on all kinds of complex networks.
The Algorithm of Modulation Classification Based on Eigenface and Support Vector Machine in Low SNR
Authors: Guo Xiang Ke , Liu Rong Ke , Liu Chang Yun , Yue Shao Hua
Published: December 2014

To improve the accuracy and reliability of modulation recognition at low signal to noise ratio (SNR) and few knowledge of signal parameter, the novel method based on the cyclic spectral feature and support vector machine(SVM) is presented. In the process of novel algorithms, the cyclic spectral analysis is used to realize the feature extract of the modulated signals, and the Eigenface method is used to reduce the amount of spectral coherence feature. Then, a new scheme of classification based on support vector machine is presented to classify the modulation signal. The experiment shows that the modulation classification accuracy of presented method is significantly improved at low SNR environment.
Design of Recycled Cooking Oil Quality Testing System Based on Conductivity
Authors: Qiang Yu Jian , Chen Lin Wei , Shen Yi , Chen Ling
Published: December 2014

With the improvement of living standards, people are more concerned about the quality of edible oil. Compared with ordinary edible oil, recycled cooking oil contains heavy metal elements and other impurities. It means that recycled cooking oil’s conductivity is much higher than ordinary cooking oil. According to this feature, system of heavy metals detection and quality analysis based on conductivity of recycled cooking oil have been developed. Taking MCU as the core, this system has achieved functions of conductivity information acquisition, signal processing and human-computer interaction. Adopting bipolar pulse as excitation power supply, the system is aimed at weakening the capacitance effect and polarization effect effectively. Temperature compensation circuit is designed in order to reduce the influence of temperature change on the conductivity measurement. The experimental results show that the detection system has good effects on testing recycled oil which contains different heavy metal components. This detection system has a certain application and promotion value with advantages of low cost, high reliability, high accuracy.
Intelligent Transportation Video Detecting System Based on DSP
Authors: Zhang Zeng Nian , Wang Zun Yi , Chen Mian Mian , Shi Jiong
Published: December 2014

This paper proposes a method of realizing a moving vehicle video detecting system based on DSP processor, and describes the system's hardware architecture and software design in detail. Based on the characteristic of dual-core of DM6437 processor, the methods of communication protocol between ARM and DSP, as well as the double-buffer switching method are presented. Background modeling is made on the traffic video data from DM6437 via difference accumulation. Background subtraction is used to detect vehicle movement areas. With the adoption of algorithms such as Otsu, morphological filtering and region growing, the whole system is finally realized on the DM6446 hardware platform. Experimental results show that the system achieves good performance on moving vehicle detection.
Measurement of Temperature Resistance of High Power LED
Authors: Wang Xiao Zeng
Published: December 2014

In the absence of cooling measures, the chip temperature of high power LED rises rapidly. When the junction temperature exceeds the maximum allowable temperature, the high power LED will be damaged due to overheating. In the design of high power LED lamps, the main work is to the temperature design. Using a good linear relationship characteristic of the semiconductor devices between the LED junction voltage and junction temperature, this paper measured the high-power LED working voltage, working current, temperature of the incubator and heat sink. Adopting the method of electrical parameters, the paper measure the temperature resistor of high power LED. The high-power LED temperature resistance measuring instrument is designed and made. The temperature resistance from the LED wafer to the heat sink is measured fast and accurately, and the error is less than 5%.
Measurement System for Oil-Water-Air Interface Position and Oil Layer Thickness
Authors: Li Yue Feng , Sun Jie , Ren Hao
Published: December 2014

The measurement system adopts linear CCD as photographic element. Through the optical amplification system, the images of oil-water and oil-air interfaces were clearly imaged onto CCD chip. CCD transforms optical signals into electronically signals, and then submits data to PC through USB channel. After Savitzky-Golay smoothing on light intensity data, the software analyzes the data and calculate out the positions of oil-water-air interfaces. By calculating the difference between two positions, the oil layer thickness is gotten. The experiment results that the measurement system given in this paper is reasonable, stable, effective and accurate. This measurement system has wide application in the physical and chemical industry field.
Remote Video Monitoring System Based on ARM9
Authors: Jiang Fei
Published: December 2014

The design introduced in the ARM9 Linux embedded system using USB camera for remote video surveillance. Using TCP / IP protocol as a transport medium and routers connected via video stream ordinary unshielded twisted pair, combined with peanut shell DDNS (Dynamic Domain Name System) using remote video surveillance, improve usability and adaptability of the system.
Robust Centralized Fusion Steady-State Kalman Filter with Uncertain Parameters and Measurement Noise Variances
Authors: Wang Xue Mei , Liu Wen Qiang , Deng Zi Li
Published: December 2014

For the linear discrete time multisensor system with uncertain model parameters and measurement noise variances, the centralized fusion robust steady-state Kalman filter is presented by a new approach of compensating the parameter uncertainties by a fictitious noise. Based on the Lyapunov equation, it is proved that for given fictitious noise variance, the variances of the actual filtering errors have a less-conservative upper bound when the uncertainty of parameters is limited in a sufficiently small region which is called as robust region of the parameter uncertainties. Further, a simulation example demonstrates how to search the robust region. It is also proved that the robust accuracy of the centralized fusion robust steady-state Kalman filter is higher than that of each local robust Kalman filter. A simulation example shows its effectiveness.
Application of OSC in Sugar Content Evaluation of Chestnut Based on near Infrared Spectroscopy
Authors: Liu Jie , Li Xiao Yu , Wang Wei , Zhang Jun , Zhou Wei
Published: December 2014

It is important in chestnut industry to evaluate the sugar content of nuts since sugar content is one of parameters for classifying the fruit to different productions. Previous work had proved the near infrared (NIR) spectroscopy could be used to measuring the sugar content in intact and peeled chestnut nondestructively; however, the performance of the predictive model would need more improvement. In this work, the orthogonal signal correction (OSC) algorithm was employed to optimize the predictive models. The results shown that, for the peeled chestnut sample, OSC could increase the correlation coefficient (R2) of validation set from 0.8649 to 0.8961while decrease the root mean and square error of prediction from 0.739 to 0.626. For the intact chestnut sample, this algorithm did not improve the model performance. The results indicated that the OSC had potential to optimized the prediction accuracy of sugar content in chestnut based on near infrared spectroscopy.
Information Fusion of Seafloor Observatory Network Based on Kalman Filtering
Authors: Wang Ying Jian , Wang Zhen Yu , Fan Xue Man , Yuan Feng
Published: December 2014

The necessity and advantages of the multi-sensor’s application in information fusion is analyzed on the basis of that multi-sensor information fusion technology has been widely applied in the monitoring and control system of seafloor observatory network. and the structural model of fusion system based on the distributed filtering scheme is presented. Decentralized kalman filtering is proposed to solve the fusion structure model of the system, and the information fusion algorithm based on kalman filtering is discussed in depth. And the research findings of Kalman filtering in information fusion are tested with Mat lab. Simulation shows that system design can integrate the lowest layer of sensor signals quickly and accurately, giving helps for decision making.
Study on a Wireless Temperature and Humidity Monitoring System for Workshop with Constant Temperature Based on SCM
Authors: Yang Xiao Jing , Chen Sheng Li
Published: December 2014

A wireless temperature and humidity monitoring system for workshop with constant temperature based on AT89C52 Single chip microcomputer and nRF905 wireless microchip is studied. The system is consists of base station and slave station. Base station is mainly consists of temperature acquisition module, humidity acquisition module, wireless communicating module and communicating testing module. Good communication protocols play an important role in ensuring the correct monitoring data. So the network topology, communication data form, ad hoc networks protocol, mac protocol and data link layer protocols are discussed for commutation protocol to host computer software. The cost of the system is low and it has a large function area and a good performance. It is able to provide messages of workshop with constant temperature for improving machining accuracy and prolonging the life of equipment in machine shop.
Applications of BIM&RFID Technology in Electromechanical Equipment Management and Maintenance
Authors: Wang Wei Dong , Zhu Zhi Gang
Published: December 2014

This paper is focusing on the application of BIM and RFID technology in the technical research and development center project of the EPRI of China. Firstly, the paper makes a introduction of BIM and RFID. Secondly, discusses the advantages of these two technologies which applicate in management and maintenance of electromechanical equipment of this project. Finally, make a conclusion that BIM and RFID technology is very beneficial to the management and maintenance of the electromechanical equipment.
3-Dimensional Numerical Simulation of Tesla Disc Turbines for Industrial Dust Blower
Authors: Hu Jin , Yi Jian Gang
Published: December 2014

Tesla disc turbine has many advantages compared with the traditional blade turbine, but there are few researches on fault diagnosis of Tesla disc turbines for industrial dust blower. In this paper, 3-dimensional model Tesla turbine is established by using CFD software FLUENT to analyze the inner flow field in the given pressure and boundary conditions. The experiments provide a good foundation for the theoretical research and the application of fault diagnosis of the Tesla disc turbines for industrial dust blower.