bluuebunny/crossref_metadata_2025 huggingface dataset:
Tower Crane Safety Comprehensive Evaluation Based on SVM
Authors: Liu Jian , Gu Meng Hua , Bai Zi Long , Zhang Xu , Yuan Bao Long
Published: May 2014

This paper focuses on the issues tower crane safety hard to be comprehensive evaluated, the machine learning theory is introduced to the tower crane safety analysis. Firstly, collect the tower crane operating parameters as samples, the SVM classifier make supervised-learning on the samples data, established classification model and running parameters are used to evaluate the secure state. In addition, the effect of different kernel functions and parameters on SVM classifier is discussed, parameters are selected after optimization by mixed method of cross-validation and grid search. Experiments show that optimized SVM model can judge Tower crane safety correctly.
Design of the Auxiliary Speech Recognition System of Super-Short-Range Reconnaissance Radar
Authors: Yin Shu Hua
Published: May 2014

To improve the usability and operability of the hybrid-identification reconnaissance radar for individual use, a voice identification System was designed. By using SPCE061A audio signal microprocessor as the core, a digital signal processing technology was used to obtain Doppler radar signals of audio segments by audio cable. Afterwards, the A/D acquisition was conducted to acquire digital signals, and then the data obtained were preprocessed and adaptively filtered to eliminate background noises. Moreover, segmented FFT transforming was used to identify the types of the signals. The overall design of radar voice recognition for an individual soldier was thereby fulfilled. The actual measurements showed that the design of the circuit improved radar resolution and the accuracy of the radar identification.
Simulation of Fast Retrieval Method for Large-Scale Image Database
Authors: Qiao Sai
Published: May 2014

The traditional database information retrieval method is achieved by retrieving simple corresponding association of the attributes, which has the necessary requirement that image only have a single characteristic, with increasing complexity of image, it is difficult to process further feature extraction for the image, resulting in great increase of time consumed by large-scale image database retrieval. A fast retrieval method for large-scale image databases is proposed. Texture features are extracted in the database to support retrieval in database. Constraints matching method is introduced, in large-scale image database, referring to the texture features of image in the database to complete the target retrieval. The experimental results show that the proposed algorithm applied in the large-scale image database retrieval, augments retrieval speed, thereby improves the performance of large-scale image database.
A Reconstruction Model for 3D Human Motion Based on Images Processing
Authors: Yang Zhi Yuan
Published: May 2014

Traditional 3D reconstruction algorithms use fixes shape base which hardly expresses the change parameters of complex movement and motion law of large-scale dynamic features, thereby leading to non-realistic reconstruction results. The paper proposes a new reconstruction algorithm for 3D motion images that corrects the neighborhood system of feature points by motion parameters and reasons number base K to ensure accuracy. The simulation results show that, the proposed algorithm avoids drawbacks of sports reconstruction results caused by the great randomness of motion state, thereby complete 3D motion images' reconstruction.
A Map Matching Algorithm for Vehicle Based on BeiDou Short-Message Communication
Authors: Yu De Xin , Zhao Xin
Published: May 2014

In this paper, there is an existing map-matching algorithm on the lack of accuracy, combined with the specific short-message communication function which developed by China's own BeiDou navigation satellites, and then there is proposed a new map matching algorithm for vehicle based on BeiDou Short-Message communication. The algorithm makes up for the shortcomings of existing map matching algorithms, and effectively reduce the matching error, especially for city complex sections, including the main and auxiliary road, the viaduct etc. Finally, this paper validates by comparing the new algorithm with the mature matching algorithm based on fuzzy logic. After verification, it proves that the proposed algorithm can improve the precision of map matching, especially for city complex sections of the map, and the effect is more significant.
Acceleration Strategies for Speech Recognition Based on Deep Neural Networks
Authors: Tian Chao , Liu Jia , Peng Zhao Meng
Published: May 2014

The Context-Dependent Deep-Neural-Network HMM, or CD-DNN-HMM, is a powerful acoustic modeling technique for HMM-based speech recognition systems. The CD-DNN-HMM can greatly outperform against the conventional Gaussian-mixture HMMs. Therefore, we build a CD-DNN-HMM LVCSR system by modifying a mature GMM-HMM system. The baseline CD-DNN-HMM system achieve word-error rate of 18.6% that is far better than 24.9% achieved by the GMM-HMM system. However, the speed of the baseline CD-DNN-HMM system becomes a major roadblock for its real-time rate reaches 0.72 on the standard NIST 2000 Hub5 evaluation set. In this paper, we realize several optimization algorithms in our baseline system to accelerate the recognition speed. Testing the optimized system on the same evaluation set, we achieve real-time rate of 0.39, a relative reduction of 45.8%.
Redundant Network Research Report
Authors: Ma Hao Jian , Tan Shun Hua , Yang Yu Long
Published: May 2014

Redundant traffic is refers to the network between the two nodes of the same content repeated more than once. We can provide better user behavior analysis and personalized services for the net users by analyzing of the network packets into the application layer, analyzing of network resource location and the size of the volume of data accurately and researching the characteristics of the network redundancy flow which can provide references for the evolution of the network technology especially for the CNGI’s new standards and protocols.
Design and Implementation of Embedded Software for Context-Aware Wearable Body Sensor Networks
Authors: Zhuang Wei , Dai Dong , Yu Ren Jie
Published: May 2014

Adding wireless communication and smart sensing technology into telemedicine filed can enhance the abilities of detecting vital signals of the patients and significantly reduce diagnose cost. An embedded software for monitoring health status based on Zigbee network is proposed in this paper. Motion detection is also exploited to recognize current contexts. Experiments have shown the feasibility of proposed programs which can be easily transplanted into different hardware platform.
A Data Replica Placement Scheme for Cloud Storage under Healthcare IoT Environment
Authors: Zhang Bang , Wang Xing Wei , Huang Min
Published: May 2014

In this paper, a multiple data replica placement scheme for cloud storage under health-care environment is proposed. It is based on p-center model with minimizing user access cost as its optimization objective. It uses GA (Genetic Algorithm) to find the optimal data replica placement solution. Simulation results have shown that it can not only improve user access time and promote load balance but also enhance system scalability and reliability.
The Application Analysis of Cloud Computation Technology into Electronic Information System
Authors: Li Xian Yu , Wang Hua , Wang Xue Ning , Zhang Wei , Tang Yi Lin
Published: May 2014

Based upon the synopsis of Cloud Computation technology, this paper describes the Cloud Computation architecture, and carries out practical analysis of system added capabilities. Meanwhile, the related policies and measures are presented with respect to the application of cloud computation technology into electronic information system. This will benefit the further development of electronic information system.
GA-ANN Forecast Model for Typhoon Gale in South China Sea Based on MDS
Authors: Lin Kai Ping , Dong Yan , Huang Xiao Yan
Published: May 2014

Based on 33-year typhoon information of South China Sea (SCS) in 1980-2012 and NCEP/NCAR reanalysis data, taking Climatology and Persistence (CLIPER) and earlier physical quantities predictors selected by Stepwise Regression (SWR) and Multidimensional Scaling (MDS) methods as model inputs, the Genetic Algorithm-Artificial Neural Network (GA-ANN) forecast model was built for typhoon gale. The forecast verification results for independent samples in MDS-GA-ANN model show that mean absolute error of 24h forecast for wind velocities at 36 grid points around typhoon centers from July to September is 1.6m/s. Using the same samples, the prediction results of MDS-GA-ANN models for independent samples were compared with that of traditional SWR models. Taking July as example, prediction abilities for 29 MDS-GA-ANN models (81%) among 36 grid points around typhoon centers are superior to that of SWR models; only 2 grid points of MDS-GA-ANN models are worse than that of SWR models (6%). Therefore, prediction ability for most of 36 grid points using MDS-GA-ANN models is superior to that of SWR models and can meet business requirements of meteorological stations at present.
Research on Cluster Analysis Method in the E-Government
Authors: Gu Gui Qin
Published: May 2014

In February 27, 2014, the central network security and information leading group were set up, the general secretary of the CPC Central Committee, President and chairman of the Central Military Commission Xi Jinping himself is as a leader, which shows that the top deepen comprehensively reform and strengthen top-level design. It also shows the determination to promote the informationization development in protecting network security and safeguard national interests. Based on the status of E-government, we analyze the connotation of e-government and its safety features in the development process and summary the security demand of E-government. On the basis of E-government security system, combining with data mining features of clustering algorithm, we construct the E-government security detection model, and apply the FCM clustering algorithm to do simulation model test. The results show that the model has obvious effect and strong practicability.
Research on G2V and V2G Trade Modes and Information System Development
Authors: Zhang Qing Hua , Shi Dong Mei , Cheng Guo Quan , Wang Zhuan , Sun Jia Qin
Published: May 2014

In the energy crisis environment, V2G and G2V energy exchange is an important issue for attention. We studied the V2G and G2V energy exchange process and electric energy transaction mode. The design of an energy transaction management system for V2G and G2V is given, and the management system is developed. This system is an information system for V2G and G2V two-way mode trading platform, which include two parts: the first is the system management and basic information management module, the second is V2G and G2V transaction module. Based on transactions between electric vehicles and the grid, the system realizes the plan and arrangement for the electric automobile to charge and discharge orderly.
Study on Calibrating Method of FOB Position Tracker Based on Neural Network
Authors: Li Shan Shan , Zhu Zhong Xiang , Liu Bo , Song Zheng He , Mao En Rong , Lantian Shang Guan
Published: May 2014

Due to the instability and low precision of electromagnetic position trackers and the inefficiency of existing calibrating methods, a method with high accuracy and effectiveness for FOB (Flock of Birds) calibration was studied. The components, operational principle, merits and drawbacks of FOB were briefly introduced. The positions of 343 sampling points set in the effective working area were measured and the data was processed for trainings and tests of the calibration model established using genetic algorithm and BP algorithm. Experiments were conducted to verify the effectiveness of the method and the results showed the calibrated tracker’s average errors in the X, Y, and Z direction were 0.86cm, 0.70cm and 0.83cm respectively, meeting the requirements of human-computer interaction.
Design and Implementation of User Model Based on Light Blog
Authors: Song Pei Pei , Qi Yu Ming , Wang Zhong Min
Published: May 2014

Social intercourse based on interest is becoming more and more popular, design of the existing architecture and the business logic of the light blog by taking analysis is implemented. Through recording and analyzing users’ behavior and data profiles, this system can automatically push the new useful information to the specific users who may have an interest on that by data mining. In this paper, the application of the data mining technique, the implementation of TF-IDF algorithm and the solution of the model similarity are mainly explained.
Designed Soft Sensor of the Cell Concentration Using Neural Networks
Authors: Meng Hua , Zhang Yan Ju , Wang Yue Ying
Published: May 2014

Artificial Neural Networks have been used for a wide variety of chemical applications because of their ability to learn system features.This paper presents the use of BP neural networks for soft senor of the cell concentration.For microbial concentration in fermentation process of the problem of real-time online detection,from the perspective of biological cell metabolism in the process of fermentation were analyzed by the correlation of metabolic parameters,then these parameters as the input variables, established the cell concentration BP neural network model of soft senor for biomass parameters detection in complex system.The simulation results show that the soft senor method has highly accuracy and can well applied in the biological fermentation process.
Study on the Portable Plate Stiffness Tester Based on LabVIEW
Authors: Wei Li , Guo Yu Jing
Published: May 2014

Usually the covering part of large frame structure is heavy and it is difficult to measure the stiffness of the covering part. In this paper, it makes use of virtual instrument instead of traditional instrument. In addition, it adopts LabVIEW as development platform and the hardware includes stepping motor, data acquisition card of NI, force sensor and displacement sensor, etc. The portable plate stiffness tester is developed successfully, which is applied to industrial field. It is normative and accuracy for the quantitative evaluation of the covering parts stiffness, which plays an important role for guiding production. LabVIEW development platform relative to traditional instrument has many advantages, such as real-time display and storage, efficient data processing and powerful database management and so on.
How to Develop Electronic Services in the Construction of Chinese Sixth Industries
Authors: Liu Bang Fan , Xu Shui
Published: May 2014

Electronic services are the sublimation of E-government and E-commerce based on public service.Sixth industry refers to public utilities, mainly refers to public administration services. E-services is an important part of the sixth industry, and the core driver of the sixth industry. The development of electronic services, there are four basic conditions: E-government, E-commerce,information society and the modern service industry Therefore, four major initiatives should be taken, efforts to advance E-services: first, to vigorously promote E-services theory; Second, policy research, institutional arrangements proceed; third, the marriage between government and enterprises to carry out a pilot of E-services; Fourth, the integration of resources, promoting information society. Meanwhile, need to design top-level of party committees and governments and institutional arrangements of decision-making departments.
Fuzzy Analytic Hierarchy Process Based Reputation Evaluation for Generating Companies
Authors: Wang Jun Xia , Yu Ying , Sun Xiao Hui
Published: May 2014

It is not easy to evaluate the reputation of generating companies as the influence factors are multiple, complex, and partly subjective. A fuzzy Analytic Hierarchy Process method (AHP) with a set of power industry relevant criteria is applied in this paper. The fuzzy triangular number is introduced to characterize the subjective judgment of experts, and AHP is used to deal with the multiple evaluation factors, and to calculate the relevant weights with the aid of the arithmetic laws of fuzzy triangular number. Numerical examples illustrate the effectiveness of this model.
The Structure Transition of (AgCu)309 Clusters during the Freezing Process: A Molecular Dynamics Simulation
Authors: Huang H. , Cheng Z.F. , Xiao Xu Yang , Xia J.H. , Liu T.Z.
Published: May 2014

In bimetallic cluster, research on the frozen structure with the changing concentration plays an important role in exploring new structural materials. This paper studies the freezing processes of (AgCu)309clusters with different Ag concentrations. The results indicated that the structural transformation was strongly related to concentration. It was found that the frozen structures were changed form icosahedron, hcp and fcc-hcp with the change of Ag concentration. The frozen structures were formed icosahedral for the clusters with Ag concentration at 10%, 20%, 30%, and the pure Ag309. For the clusters with Ag content at 40%, 50%, 60%, 70%, and 80%, the frozen structures were formed defect icosahedral. It was also found that the frozen structure have hcp character for the pure Cu309cluster. Meanwhile, the frozen structure of (AgCu)309with 90% Ag concentration was formed fcc-hcp structure. The segregation effects of the Ag-Cu are the key reason for the structural transformation.
The Development and Application of Digita Experiment Teaching Platform
Authors: Wang De Li , Jiang Nan , Jiang Guang Xin , Tang Hai Feng , Meng Qing Fan , Teng Li Rong
Published: May 2014

The construction of digital experimental teaching platform needs to have a forward-looking comprehensive plan and supporting construction to guide and support. Based on the optimization and improvement in the physical laboratory, we continue to advance informatization process, such as building a wealth of data resources, strengthening the usability and ease of the system, improving interaction between systems more smoothly, enhancing timeliness of hardware maintenance and software updates to ensure the smooth and efficient operation platform, etc. The new teaching mode on the basis of it, such as online education, are explored and practiced. Fully functional, highly integrated and efficient platform will play its important role in the cultivation of innovative talents.
Straightening and Precision of Guide Rail Characteristics Based on Load-Stroke Deflection Relations Using FEM Simulation
Authors: Lu Hong , Khaing Mi Aye Su , Gao Sheng , Liu Jian
Published: May 2014

Straightening process is to achieve the best standard and improve geometric quality of products caused by heat treatments and internal structural changes. The straightening of the guide rail was analyzed using the load-deflection straightening model. In this paper, three dimensional FE simulation of the reverse bending and straightening of the steel bar conducted as part of the research to numerically investigate for the mechanical engineering applications are presented. This paper is focused on the straightening precision of the guide rail and springback prediction using finite element method. According to the experimental results, by using numerical simulation with finite element analysis (FEA), the relationships among the maximal loading stroke and straightening stroke with the cross-section shape will be gained, and also the result curves were discussed qualitatively. The appropriateness of the simulation procedures employed in this work is represented for similar condition that is a good agreement between the finite element method and experimental results.
Research of Supportive Capability and Security of Multi-Layer Template with Modern Framework
Authors: Wang You Zhen
Published: May 2014

As the construction technology is developing nowadays, the supportive capability and security of multi-layer template has been more focused, and multi-storey framework supports system has been applied more applied in the high rise construction. However, collapses of supports system and cracks of floor happen frequently during the period of construction as a result of unsuitable configuration of supports system, incorrect removal of framework supports as well as curing of early-age concrete. All the facts above affect the safety of construction and the performance of building. Therefore, the research of supportive capability and security is significant to the safety of the whole construction.
Carbon Dots for Detection of Metal Ions
Authors: Yu Jing , Wu Meng Lu , Song Na , Yang Li Ning , Chen Jian Rong
Published: May 2014

Carbon dots are novel fluorescent nanomaterials which have easy to preparation. They have good stability, low toxicity, environment-friendly and are widely used in biological imaging, biomedical, and biochemical analysis, metal reduction, fluorescence probe and optoelectronic devices. This paper summarized several new methods for the detection of metal ions with carbon dots.
Study on Relationship between Deformation of Reservoir Water Level Fluctuation Change of the Shuping Landslide
Authors: Yan Xue Qing , Zhou Zong Hua , Tu Peng Fei
Published: May 2014

The change of reservoir water level fluctuation has an important influence on the landslide deformation. In this paper, taking Zigui County of the Three Gorges Reservoir Shuping landslide as an example, based on the deformation and water level of reservoir deformation related analysis of landslide, summarizes the general rule by reservoir water level variation effect on deformation of landslide, which can provide some reference for the monitoring and analysis of landslide similar.
Rapid Differentiation and Identification of Shigella sonnei and Escherichia coli O157: H7 by Fourier Transform Infrared Spectroscopy and Multivariate Statistical Analysis
Authors: Yang Li Jun , Wang Jing , Li Zhao Jie , Song Xiao Hua , Liu Yu Min , Hu Qiao Ru
Published: May 2014

Fourier transform infrared spectroscopy (FTIR) combined with multivariate statistical analysis was applied to differentiate and identify Shigella sonnei and Escherichiacoli O157: H7. FTIR absorption spectra from 4000-600 cm-1 were collected from sampling 10 μL of bacterial suspention. The spectra between 1800 and 900 cm-1 highlighted the most distinctive variations and were the most useful for characterizing the selected microorganisms. Spectra of the two bacteria were noticeably segregated with distinct clustering by principal component analysis (PCA). Further more, another cluster model of hierarchical cluster analysis (HCA) was established and could also gave a good separation between the two bacteria. These results demonstrate that FTIR technology has considerable potential as a rapid, accurate and simple method for differentiating and identifying bacteria.
Based on the Design of the Single Chip Microcomputer Numerical Control Constant Current Source
Authors: Yin Zhi Jian , Luo Qiang , Xiang Kun , Wang Fan
Published: May 2014

This system based on single-chip microcomputer control, with buttons and LCD monitor as the man-machine interface of numerical control dc power supply. System is mainly composed of rectification filter circuit, the output current control module, LCD display module current and voltage controlled constant current module. Button to SCM number controls the size of the output current DAC0832, LCD display the current value. This system controlled by single chip microcomputer DA output, make the whole circuit system has a stable output current, step precision is high, easy to control, etc.
Design and Development of Test Data Interpretation System for Space Power-Sources
Authors: Lv Yi Lun , Feng Bin
Published: May 2014

We designed and developed a test data interpreting system to improve the efficiency and accuracy of test data analysis of space power-source and to meet the challenge challenges of heavy productive task and mass product quality. The design took full thought of the characteristics of the aerospace product, actual test data obtained from the development, the product test goal, the composition and the basic requirements of the test data analysis. The system realized automatic data interpretation, multi-parameter interpretation, multidimensional time series interpretation and graphic curve display, demonstrating its rosy future in solving the problem of test data analysis in aerospace field.
Design and Finite-Element Analysis on Double-Circular-Arc Gear of the Turbodrill Reducer
Authors: He Lu Zhong , Zhou Qin , Du Yao Sen , Li Bin Bin
Published: May 2014

The double-circular-arc gear bearing capacity is the key problems for realizing the low speed and high torque work demands of small-diameter deep-well turbodrill reducer. Double double-arc gear shaft structure is adopted for improving the gear bearing capacity Based on the 2K-H-NGW type planetary gear transmission. Increase modulus and decrease teeth number properly can improve the double-circular-arc gear capacity on the premise of limited radial size. This article analyze the gear bending stress based on ANSYS and simulation results show that stress mainly concentrated on tooth root and tooth waist area and maximum loading is at tooth waist area. The simulation maximum bending stress is 289N/mm2 and the theoretical bending stress is 277.50N/mm2.The two results are basically identical. It is consistent with the actual work situation.
Extract Vanadium and Molybdenum from Spent Catalyst
Authors: Xu Shuan , Shao Yan Hai , Li Ming Ming
Published: May 2014

Based on the analysis of the properties of spent catalyst, extract vanadium and molybdenum from spent catalyst by roasting alkaline leaching. Sodium carbonate was leaching agent. The effects of roasting temperature, roasting time, the concentration of sodium carbonate and the number of leaching times on the leaching rate of vanadium and molybdenum were studied. Roasting temperature of 650°C, roasting time of 3h, the concentration of sodium carbonate of 50g/L and once counter-current leaching, under this condition, the leaching of vanadium is 83% and the leaching of molybdenum is 93%.Roasting alkaline leaching has good effect on extracting vanadium and molybdenum from spent catalyst.
Numerical Control of Surrounding and Columniform Cam
Authors: Wang Ying , Xu Yang Yang
Published: May 2014

It describes basic method of columniform on process and basic method of three-dimensional modeling and cam by the compositive use of PRO/E software and Master CAM software.
Research on the Calibration Method for Analog Measuring Instrument
Authors: Ma Xiao Ju , Gao Yu , Zhou Lin Yun
Published: May 2014

This paper presents a pointer instrument calibration method based on template matching, which segments the image that area closest to the pointer by setting the width on the basis of the meter needle positioning, scans the region from top to bottom line by line, determines smaller rectangular area containing calibration digital only, uses template matching to identify numbers theory to identify the calibration digital in the region. Experiments show that this method can identify the calibration digital quickly and efficiently in analog measuring instruments.
A Matrix Completion Based Spectrum Prediction Scheme under Incomplete Data
Authors: Gao Xiang , Ren Guo Chun , Chen Jin , Ding Guo Ru
Published: May 2014

Spectrum prediction is a technology to estimate the channel status by mining and using the correlation of the spectrum data. Using a reliable prediction scheme, the performance of opportunity spectrum access can be more effective. However, the traditional study on the spectrum prediction methods only use the correlation of the historical data in time domain, and on the basis of the spectrum historical data is complete. In reality, the historical data are often incomplete. The reality calls for a deeper understanding of the correlation of current spectrum data. In this paper, we present a correlation study, with data collected by measure both on the time domain and spectrum domain. Main findings include that the channel status information has correlation not only in the time domain, but also in the spectrum domain. We then exploit such time and spectrum correlation to develop a matrix completion based spectrum prediction scheme under the incomplete data that can predict channel availability based on past observations with considerable accuracy.
Design and Implementation of Visual Simulation System of Sports Training
Authors: Xue Feng
Published: May 2014

With the rapid development of computer technology, Visual simulation technology is mature, widely applied to every field of education, teachers and students benefit, the teaching effect has improved significantly. From the characteristics, function of visual simulation technology, visual simulation technology are introduced in the sports teaching the application of visual simulation system design a set of sports training. The system construction of virtual scene by using the method of training detail step by step, based on the three-dimensional image VRP interactive platform for the development environment, visual simulation for sports training. The practice proved: the system simulation is high, achieved the effect of sports training simulation, and operation flow.
Apple near Infrared Spectral Preprocessed Based on Wavelet Analysis
Authors: Li Min , Jiang Qiang , Zhang Xiao Ying , Chen Li Qun
Published: May 2014

The original near infrared spectral (NIR) inevitably includes noise signals and usually has a large amount of data. So de-noising and compression are the main tasks of spectral data pretreatment, in order to improve the accuracy of model prediction and modeling speed. Traditional spectral pretreatment methods have their own limitations in these two aspects. In this paper, the wavelet analysis method was applied to preprocess apple NIR data. Compared with Savitzky-Golay smoothing method and multiple scattering correction , the wavelet method has its own superiority in noise removal and data compression.
Signal Simulation of Target Tracking System of Fire-Control Radar Based on HLA
Authors: Xiao Qiang , Han Zhuang Zhi , Zhang Hong Wei
Published: May 2014

.Target tracking is not only an important operation mode of fire-control radar, but also the primary task of the fire-control system. Firstly, scalable and reusable signal-level target tracking simulation system of fire-control radar based on HLA is developed. Then starting from the signal-level simulation model, by antenna module, receiver and signal processing module, filtering and prediction module, control system modules being organically combined, target tracking system modeling and simulation is completed. The simulation result indicates that the simulation system can carry out the dynamical process of target tracking effectively, it is of some reference value for the research on training simulation system design of fire-control radar and electronic warfare system evaluation .
BIM Technology in the Information Age Applications in Interior Design
Authors: Wang Yan Wen , Yang Xu Guang
Published: May 2014

Building Information Modeling is another important computer application technology in the field of building after the CAD computer-aided design technology appearance. BIM modeling using information technology to greatly improve the degree of integration of information, which makes the quality and efficiency of the design and the whole items greatly improved. Its greatest value is reflected in the three-dimensional design technology and collaborative design, which bring huge benefits for the development of the interior design industry. Besides, it completely changed the traditional design patterns, letting the two-dimensional drawings into intuitive and accurate BIM model data. BIM technology new design pattern, design process and efficient design changes for the quality and construction of interior design provides a reasonable and scientific decision-making.
Simulation and FPGA Realization of Scramble Algorithm in TD-LTE System
Authors: Li Xiao Wen , Tao Min , Gao Wei , Jiang Cao Yong
Published: May 2014

This paper mainly realizes scramble in TD-LTE system. It includes the introduction of scrambling; projects form; the process of FPGA implementation and the results analysis. Then it finishes simulation, synthesis and verification of board on Virtex-6.The implementation of results shows that this algorithm of modulation and scramble has a high effectively and good reliability to TD-LTE RF conformance testing instrument.
Research on Crystallization Kinetics of Calcium Sulfate Dihydrate Prepared by Bittern under 20°C and 120r/min Condition
Authors: Luo Bi Jun , Wu Hai Hong , Wang Yu Qi , Zhang Qi
Published: May 2014

Crystallization kinetics experiment of calcium sulfate dehydrates, which is prepared by bittern under 20°C and 120r/min conditions, is carried out. According to the results of the experimental data, nucleation densityn0of gypsum crystals is proportional to the residence time, and the rate of crystal growth lineGis inversely proportional to the residence time. Meanwhile, the crystallization kinetics formula is derived to be:B0= 5.78×102G0.87.
The Key Technology Research of Network Security for Electronic Commerce
Authors: Lu Jin Hai
Published: May 2014

Along with the development of the computer technology, communication technology and information security, people are enjoying the convenience of new trade patterns e-commerce bring by open web. At the same time, it also have to face all kinds of security problems in e-commerce. In this paper, it analyzed the network security technology in electronic commerce, put forward the design scheme of network security platform that can effectively ensure the smooth progress of e-commerce activities. The study of the security problems in e-commerce, has special important theory value and practical significance.
The Research of Information Retrieval Technology Based on Semantic Analysis
Authors: Xu Ming , Ke Yun
Published: May 2014

The common information retrieval technology is mainly based on keyword matching and this kind of method only focuse on the optimization algorithm, ignoring the semantic research. This does not solve the fundamental semantic multiplicity, retrieve diversity, related web undetected, sort unstandardized. This paper is a study of these problems arise for the current proposed MIRSA information retrieval model based on semantic analysis. This model consists of the following four main key points: disambiguation method, semantic expansion algorithm, the search terms match strategy, web sorting algorithms. This model can effectively solve the problem of semantic multiplicity, avoid missed relevant pages and reasonably improve the sor of related pages.
Develop Cross-Platform Smartphone Application for Lotus OA
Authors: Liu Li , Dai Ran
Published: May 2014

Lotus OA is widely used in some large departments. Because of its special architecture, it is difficult to develop a corresponding native mobile application. This paper propose an economic structure to develop native mobile application for Lotus OA. Use this structure, traditional Web developer can directly participate in the Lotus mobile development. This paper introduces our development process, explain the reason why we choose this structure. Also, this paper compares our software structure with other software structures, the result shows that our structure is more economic than other structures.
Implementation of Real Time Video Transfer System Based on Android Platform
Authors: Lu Meng Ke , Yuan Jian Xin
Published: May 2014

This paper introduce the H.264 encoding system, mp4 file format, based on which , propose a high efficient real time H.264 encoding system on Android . The system aims at transmitting high quality video under restricted environment. The system largely reduce the transmitted data but still maintain good quality .It can achieve 15fps at 1280P .We design a MFC program which use CAscyncsocket to receive the raw H.264 and use ffmpeg to decode it .You can add RTP or RSTP protocol , then you can use VLC player to decode it . Or you can implement a tiny http sever on Android phone, then you can use your browser to watch the video.
Reconstruction on Database Technology Module Based on University-Enterprise Cooperation for Polytechnic
Authors: Jiang Wu Xue , Hu Xuan Zi , Gao Wei Chun , Ye Guang Zai
Published: May 2014

Database technology is one of core technology modules of the computer, mainly including the query of the database, table and database table, safety management, daily management and data transmission, user view and other operation procedures, SQL Server procedure, functions, stored procedure, trigger and other design procedures. With the platform of SQL Server 2008, combined with the basic elements of the database technology, aiming at the demand to cultivate IT talents, relying on the enterprise’s demand on IT job skill, new database technology module architecture is developed in the paper. The structure can provide a good reference value to cultivate new vocational IT talents.
Augmented Reality Based on Mobile Terminals
Authors: Zhu Xiao Li
Published: May 2014

Through the study, we found computer has powerful ability to analyze management in the colorful painting field.Spread of the mobile terminal augmented reality is a hot field in today's society technology development, composite is a new kind of create immersive virtual scene technology. Introduced the advantages of mobile terminal transmission of augmented reality and real life, the application of augmented reality and the mobile terminal transmission is discussed.
Hardware Design of Low-Power ZigBee Wireless Sensor Network Node
Authors: Hou Si Zu , Li Ning
Published: May 2014

ZigBee technology is widely used in wireless sensor networks with the advantages of low power, low cost, convenient networking, etc. Design of ZigBee-based wireless sensor network nodes have become a demand. The nodes are generally placed in some occasions where the power supply inconvenient and require battery-powered, so the low-power of the nodes is an important indicator. The node chose CC2530 as the hardware core and transplanted Z-Stack protocol stack. It collected different data through different sensors and used ZigBee technology for wireless communication. This article describes the process of node hardware design, and reduces the power consumption of the node with choosing low-power devices, reducing the operating frequency and other methods. Low-power node saves the cost and increases the life of the nodes and the network. So it is good for increasing the continuity and stability of the network.
Study on the Anti-Rust Mechanism of Compound Rust Inhibitor TW742
Authors: Yang Ben Ben , Fu Hong Rui , Wang Ben Li
Published: May 2014

The anti-rust mechanism of TW742 is mainly studied in this paper. TW742 was dissolved in kinds of base oils to make anti-rust oils, and the effect of these oils were tested through some experiments, which indicated that both the humid heat test and the salt water immersion were good. So it is concluded the protective film of TW742 on the metal is mainly Physical adsorption film, which can keep H2O、O2、Cl-、from the metal.
Research on Comprehensive Clustering for Smart Phone Configuration
Authors: Yang Juan
Published: May 2014

Smartphone has become the necessities of people in the world today. The worlds biggest Smartphone market is china. For Chinese mobile phone manufacturers, if they wanted to share on the global mobile phone market and gain more competitiveness, they would not only in cost and price to win,but also analyze consumer trends and consumer preferences about the smart phone configuration. China mobile is the country's biggest mobile operator and mobile phone distributor company, which has a large amount of smart phone sales data. This paper based on the smart phone sales data, proposed comprehensive clustering method and realized analysis of mobile phone configuration, including DBSCAN algorithm and K-means algorithm. Which cluster and divide the smart phone configuration into the different groups objectively and scientifically. Finally, the simulation analysis of smart phone sales data from china mobile, it is concluded that the accurate clustering results would help enterprises to make better decisions and predictions. Keywords: Smart phone configuration, Comprehensive clustering, DBSCAN algorithm, K-means algorithm
Synthesis of Water-Soluble Phthalocyanine Derivatives as Models for Petroleum Fractions
Authors: Bian Ying Hui , Xu Shao Tang , Song Le Chun , Xia Dao Hong
Published: May 2014

As model compounds to petroleum fractions, the novel phthalocyanine derivative was synthesized and characterized. The self-association behavior of the phthalocyanine derivatives in water-DMSO were investigated by UV-visible (UV-vis) absorption spectra.
Research on Design of Collection and Intellectual Analysis System of Technical and Tactical Information in Basketball Matches
Authors: Liu Zhi
Published: May 2014

According to the status of there is just limited computer-aided applications for basketball game, we design an auxiliary system to complete the basketball tournament information collection and analysis work. In the implementation process we analysis the system to determine the technical and tactical acquisition program, data storage model to determine the feasibility of the system and the whole idea, ultimately make the successful completion of the system. And the feedback has been very good in practical applications. Implementation of the system allows the project to get rid of the original basketball game manual data collection and analysis methods. And it makes the tactical basketball information gathering skills have been greatly improved. The system uses information theory to achieve scientific basketball game information and data collection project, preliminary design basketball game information collection system and attack, anti-analysis system. It makes a variety of technical and tactical cluttered and fragmented information reflected by basketball game be systematically and quantify, so make one step closer to the goal of whole basketball train control system.
The Research on Key Issues of Analysis of Basketball Video
Authors: Liu Fei
Published: May 2014

With the advent of multimedia technology and the information superhighway, storage and transmission of digital video is no longer a difficult job, different sports events directly led to the explosive growth of sports video data and therefore efficient sports video analysis is necessary. This paper studies basketball video analysis of key technologies, including shot segmentation, rough classification and scoreboard camera detection and location.
Primary Functions on a Curve and its Applications
Authors: Xu Bi Cai
Published: May 2014

It is very simple to calculate the definite integral and some special curvilinearintegral. Based on this method, the author put forward the concept of primary functions on a curve and sets up a new method on curvilinear integral with primary function. Finally the author gave a generalization of finite increment theorem in higher dimensional space.
Research on the Algorithm of Automatic Urban Traffic Congestion Identification
Authors: Bo Ku , Ping Sun , Yun Ke
Published: May 2014

A method of traffic congestion identification based on traffic assignment model and SA-PC method is presented through analysis of municipal traffic congestion characteristic. Whether traffic congestion occurs or not is considered as a special classification problem. If the branch road of city is not affected by the signal light, the traffic situation is divided into tow parts: congestion and unimpeded. Using data associated with the traffic parameter for congestion and non congestion, an incremental SA-PC method is trained to detect whether traffic congestion occur or not. Experimental results based on microcosmic traffic simulation indicate that this method is not only feasible but also effective.
The Parameters Optimization of Bionic Tongue Block Based on the Discrete Element Method
Authors: Chen Li , Sun Yong Hai , Liu Yang
Published: May 2014

Human tongue has complex structure and involves in chewing function, such as transporting and mixing foods. In order to develop tongue block of the bionic chewing equipment to make the food materials slide from the lingual surface to the tooth surface as much as possible in the same time, three-dimensional model of tongue block was built according to the geometric shape and physiology characteristic of the human tongue. The discrete element method was used to simulate the whole delivery process of food materials to teeth area, and then the geometrical parameters of the tongue block were optimized. The simulated results showed that when the height of the tongue tip and the tongue root were fixed, the optimal slope angles which have the decisive effect on the process of food materials slide were 32°and 2° respectively. The results provided a theoretical basis for the processing of tongue block of the bionic chewing equipment.
Usage Intensity-Based Optimal Replace-Repair Strategy for Warranty Items
Authors: Miao Wei Dong , Wang Xian Chao , Zeng Wei , Shi Yan Jun
Published: May 2014

We herein propose a repair-replace strategy to minimize the expected warranty servicing costs for manufacturers when the items sold with a free repair-replacement warranty policy. Manufacturers usually rectify a failure either by repairing the failed item or by replacing it with a new one when a repairable product fails under warranty. In addition, the rectification action influences the repair and warranty servicing cost. Except for the time or age, the usage intensity is often another essential factor that accounts for the failure of the product, which varies the population of users. Our strategy classified the usage population into several groups and provided different repair actions for various groups.
A Hybrid Particle Swarm Optimization Algorithm for Dynamic Environments
Authors: Ni Hong Mei , Yi Zhian , Liu Jin Yue
Published: May 2014

Chaos is a non-linear phenomenon that widely exists in the nature. Due to the ease of implementation and its special ability to avoid being trapped in local optima, chaos has been a novel optimization technique and chaos-based searching algorithms have aroused intense interests. Many real world optimization problems are dynamic in which global optimum and local optima change over time. Particle swarm optimization has performed well to find and track optima in static environments. When the particle swarm optimization (PSO) algorithm is used in dynamic multi-objective problems, there exist some problems, such as easily falling into prematurely, having slow convergence rate and so on. To solve above problems, a hybrid PSO algorithm based on chaos algorithm is brought forward. The hybrid PSO algorithm not only has the efficient parallelism but also increases the diversity of population because of the chaos algorithm. The simulation result shows that the new algorithm is prior to traditional PSO algorithm, having stronger adaptability and convergence, solving better the question on moving peaks benchmark.
Research Based on Stitching Technology of Scrapped Paper
Authors: Yang Peng , Wu You Fu , Wu Jing , Kong Meng Qiu
Published: May 2014

This paper mainly make stitching technology of character in scrapped paper of printed file carry on research, which puts forward a stitching method in the light of character and image with multi-feature information in scrapped paper, mainly considering stitching same line character generally possesses similar horizontal projection region and projection center, it adopts human-computer interaction to semi-automatic stitching. First, we make image of scrapped paper binarization and small area filtering (with the exception of the boundary), after characters clustering, we utilize matching degree of pixels information of the left and right edges to make vertical stitching. This method can better tackle stitching and restoration of scrapped paper characters whose edge with segmented character. The scraped papers provided by the national undergraduate mathematical modeling contest were conducted experiment; the results indicate that this method is effective, with strong real-time property, robustness.