bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Vault Plate Installation Technology of LNG Storage Tank
Authors: Yang Gong Sheng , Yang Yun , Zhu Wen Da , Gao Nan Jin , Zhang Yu Kun , Zhang Qing
Published: February 2014

Vault installation is one of the important parts of the LNG storage tank construction. Due to the large size, installation of high accuracy and the influence affected by complex factors such as wind load in hoisting process, the installation procedure is always controlled by artificial way which is low efficiency and a big risk. In this paper installation process is optimized. According to the structural characteristics of vault plate, this paper proposes a new kind of installation guide equipment and analyses the process of guiding, which can help vault plate realizing itself position. The equipment can greatly improve the installation accuracy and working efficiency, and also can reduce the risk of installation. The technology of vault plate installation of LNG storage tank has important practical value and significance.
Multiple Instance Space Description Method in the Application Research of Complex Product Conceptual Design
Authors: Hao Bo , Xu He Li , Hu Yu Lan
Published: February 2014

Based on case-based reasoning in the intelligent design of complex mechanical products described hierarchical classification and coding, combined with matrix description will be giv en the attributes of the instance method, each layer instance description of the property and to establish a link between an instance, child inherits the parent's characteristics discussed on the basis of the CNC lathe Knowledge Base rule base and instance library
The Simulation Investigation of Matlab in Intelligent Control Course
Authors: Yang Mei , Li Man Hua , Qu Ren Xiu , Zhang Zhi Gang
Published: February 2014

Matlab is the most popular high-level language in the engineering, scientific computing and mathemsatical analysis. In this paper, the content and characteristics of Matlab are introduced and the simulation and applications study are described in teaching of the intelligent control course.
The Effect of Dielectric Charging on Capacitive MEMS Switch
Authors: Huang Qin Wen , Li Xiang Guang , Wang Yun Hui , Jia Yu Bin
Published: February 2014

Based on a one-dimensional model of dielectric charging for capacitive RF MEMS switches, the accumulated charge density and actuation voltage shift were simulated. The results illustrate that rougher surface can reduce dielectric charging, so the dielectric layer should be fabricated much rougher during deposition process. But the capacitance ratio of switch will be decreased with rougher surface, which can cause a reduction of switch performance. Thus the dielectric surface roughness should be balanced in reliability and isolation.
Study on Novel Relaxor Ferroelectric Single Crystal PMNT/Epoxy Composite Transducer Array
Authors: Li Guang , Luan Gui Dong
Published: February 2014

Using relaxor ferroelectric single crystals PMNT as piezoelectric phase and epoxy resin as a non-piezoelectric phase material, the piezoelectric composite is fabricated with the cutting - filling method. Using the same micro-structure parameters and the same process, the piezoelectric composite is prepared with the conventional piezoelectric ceramic PZT5 as piezoelectric phase material. The transducer array is respectively assembled with the PMNT /epoxy composites and PZT5/epoxy piezoelectric composite materials. Experimental results show that the relaxor ferroelectric single crystals PMNT / epoxy composite transducer array has higher sensitivity and less resonant impedance than PZT5/epoxy piezoelectric composite transducer array.
Design and Implementation of an Automatic Hydrological Telemetry System
Authors: Zhao Jun Hua , Ning Jing , Mao Suo Ying , Xu Wei Feng
Published: February 2014

It is very significant for hydrological telemetry system to gather such real-time information as rainfall and water level of reservoir in order to improve forecasting level of flood prevention and flood disaster. In this paper, a novel hydrological telemetry system is presented. The system mainly consists of remote terminal units (RTUs) and monitoring center. The RTU is mainly designed to collect rainfall and water level, and send this information to the host computer in the monitoring center by GPRS network or other wireless network. The RTU is completely implemented on a low power consumption hardware platform. The host computer receives the data from the RTUs and analyzes them, then gives detailed tables, diagrams and some decision-making conclusions, which helps the competent authorities of the reservoir or the dam to realize remote monitoring and alarming system. The design principles, difficulties and skills are discussed detailedly in the paper. The low power consumption of the RTU and bit error rate for GPRS communication are both tested. A prototype is developed to validate above design cruces.
Decentralised Sanitation and Energy Reuse in the Built Environment
Authors: Zhao Guang Wei
Published: February 2014

This paper seeks to focus on a combined waste (or: wastewater)/energy system in the deep green housing district. An innovative mixture of red and green development is presented, together with a concept of building integrated decentralized technologies for wastewater and organic waste treatment with energy and nutrients recovery. The concept is called sustainable implant. It is important to change the general attitude towards the different components of design, development, use and management of urban areas. A way to do so is the interconnection of different themes and cycles within cities. An example is the linking of sanitation to energy and food production.
The paper shows the potentials of integrating solutions concerning energy and sanitation flows as near as possible to its origin of use and/or production. Introducing the analogy of the functioning of buildings (with respect to energy and sanitation flows) with that of a parasite. The system layout and the dimensioning backgrounds are explained in this paper. Additional emphasis is put on maintenance, conservation and administration of the integrated whole, and the possible consequences for the district and its inhabitants. There are scale limitations concerning the proposed (and realized) systems. Besides that there is a matter of a unique situation with an intentional community. Although two similar systems, however small, have been realized, no other project (in process of realization) can be found worldwide in which there is a linking of urban agriculture, waste (water) treatment and energy production at the scale of an urban district.
Manufacturing Defects and Safety Technology of Automobile Product
Authors: Yin Yan , Feng Yong Qin , Zhang Xiao Rui , Zhang Qin
Published: February 2014

As high-tech product, automobile show defects in various categories and patterns. The paper introduces five categories of manufacturing defects based on 978 recalls in 2012 in China, USA and Japan. Parts involving in manufacturing defects and main defect patterns are discussed and recommendations for improvement in safety of manufacturing process provided.
Multi-Robot System for Mapping of the Unknown Environment
Authors: Vondráček Martin , Dekan Martin , Duchoň František , Števo Stanislav
Published: February 2014

The aim of this article is proposal and implementation of the multi-robot system for mapping of the unknown environment. For the localization of each robot, simple odometry was used. Navigation of the robots is based on algorithm similar to bug algorithms. Communication between robots is based on polling. The system was implemented on the platform iRobot Create. Practical experiments have proven that multi-robot system for mapping of the unknown environment is faster and more reliable than single robot system.
Research on Ping-Pong Balls Collecting Robot Based on Embedded Vision Processing System
Authors: Cheng Sheng
Published: February 2014

Nowadays, the design on Ping-Pong balls collecting robot cannot combine autonomous control with remote control. And the existing collecting devices are not efficient enough for the ball collecting job. A design is proposed on the system of Ping-Pong balls collecting robot with autonomous and remote control, based on embedded vision processing. The design also includes a set of wheeled picking-up device. The research showed that the robot can serve the function of collecting Ping-Pong balls efficiently.
Multi-Sensor Technique-Based Integrated Navigation and Flight Control on Aerial Robot
Authors: Zheng Xiang Ming
Published: February 2014

This paper describes an unconventional overall design of eight-rotor aerial robot. An INS/GPS based Kalman Filter solution is introduced in attitude estimate to meet the high precision and reliability requirement. In order to coordinate the contradiction between high load and high frequency, we present a new control method for multi-rotor aerial robot, witch take decoupling control on lift rotors and attitude control rotors. Results of simulation and flight test show that our design on aerial robot is effective.
Dynamic Deployment of Wireless Sensor Networks by an Improved Artificial Bee Colony Algorithm
Authors: He Pei Yu , Jiang Ming Yan
Published: February 2014

The main objective of dynamic deployment in Wireless Sensor Networks is to use the mobility of sensor nodes, trying to increase the coverage area of the networks through dynamically adjusting the node positions. In this paper, with the characteristics of the optimal sensor deployment in theory, we improve the standard artificial bee colony algorithm by introducing the distance factor to improve the onlooker bees selection probability formula, changing the working mode of the scout bee to avoid worse coverage rate and changing the limit l for scout bee to increase the chance to get better solution. Results show that the improved artificial bee colony algorithm has faster convergent speed and higher coverage rate compared with the standard artificial bee colony algorithm.
Application of Supervisory Predictive Control Based on T-S Model in pH Neutralization Process
Authors: Li Su Zhen , Liu Xiang Jie , Yuan Gang
Published: February 2014

T-S model is linearized at sampling points into the form of linear time-invariant state space , and using supervisory predictive control and muti-step predictive control strategy, which reduces amount of calculation and improves the control performance. Introduction
A Two-Stage Optimization Algorithm of Logistics Transportation Network
Authors: Wei Shu Di , Hui Wang , Zhao Hui Huang
Published: February 2014

In each step of logistics, transportation plays an important role to increase profit for the logistics enterprises. The vehicle routing problem is getting more and more attention of researchers and logistics enterprises. There are many factors that affect the path, many of which can only be described qualitatively, such as traffic, environment etc., These factors need to be taken into account comprehensively for path selection. The paper proposes the two-stage optimization method of transport network to solve the problem of optimal path, which combines the qualitative analysis with quantitative analysis. Examples show that it is feasible. Keywords: Transport network; AHP algorithm; Dynamic programming
Finite-Time Formation Control for Autonomous Underwater Vehicles with Limited Speed and Communication Range
Authors: Yuan Jian , Zhang Feng Li , Zhou Zhong Hai
Published: February 2014

Cooperative control of multiple autonomous underwater vehicles (AUVs) plays an important role on marine scientific investigation and marine development. The formation of multi-AUV can significantly enhance applications on the marine sampling, imaging, surveillance and communications. Compared to the formation control of multi-robot, the formation control of multi-AUV is particularly difficult, especially on controlling attitude and direction of AUV; what is more, the communication method among AUVs is acoustic. When communication distance increases, the communication qualities deteriorate quickly; this mainly makes time-delay, signal attenuation and distortion. Although formation control of multiple AUVs obtains a wide range of attention in recent years, the fruits on formation control problem are less than ones on land multi-robot problems. For example, Fiorelli conducted a collaborative and adaptive sampling research of multi-AUV at the Monterey Bay [; Yu and Ura carried out the cable-based modular fast-moving and obstacle-avoidance experiments, and presented an interconnected multi-AUV system with three-dimension sensors. On the aspect of formation control framework [2-, [ proposed a four-layer cooperative control strategy based on hierarchical structure; [ proposed a hierarchical control framework based on hybrid model. In addition, Yang converted a nonholonomic system to a chain one and designed a controller to implement a leader-follower formation for multiple AUVs in [. The formation control for multiple autonomous underwater vehicles is rather different than the control methods for other vehicles, because the formation control for AUVs is of its characteristics, such as the large-scale distribution in space. The finite-time consensus controller designing based on finite-time control and consensus problem has important theoretical and practical significance. The decentralized controller methods for the autonomous underwater vehicle are applied more and more, but they ignore the coupling relationship between them. Another method is that an AUV is modeling as an agent, but this method ignores attitude characteristics of AUVs (pitch, roll and yaw). In this paper, we consider the cooperative control problem in three dimensional spaces. Finite-time formation for Autonomous Underwater Vehicles (AUVs) with constraints on communication range is investigated. We proposed a two-layer finite-time consensus control law, to avoid leading to collapse on formation because of failure leader, all AUVs are arrayed in the same level and each AUV can obtain global formation information. Finally, the simulation results show the effectiveness of the control strategy.
Research on Particle Swarm Optimization Least Square Support Vector Machine for Short-Term Wind Speed Prediction
Authors: Zhang Shuai , Wang Hai Rui , Huang Jin , Liu He
Published: February 2014

In the paper, the forecast problems of wind speed are considered. In order to enhance the redaction accuracy of the wind speed, this article is about a research on particle swarm optimization least square support vector machine for short-term wind speed prediction (PSO-LS-SVM). Firstly, the prediction models are built by using least square support vector machine based on particle swarm optimization, this model is used to predict the wind speed next 48 hours. In order to further improve the prediction accuracy, on this basis, introduction of the offset optimization method. Finally large amount of experiments and measurement data comparison compensation verify the effectiveness and feasibility of the research on particle swarm optimization least square support vector machine for short-term wind speed prediction, Thereby reducing the short-term wind speed prediction error, very broad application prospects.
Analysis of Copper Wires Short Circuited Melted Mark
Authors: Meng Qing Shan
Published: February 2014

This paper described the microstructure feature of the first short circuit and the second short circuit of copper wires in the electrical equipment line fire. The cause of fire is evaluated and analyzed by the difference in microstructure between the first short circuit and the second short circuit of copper wire. It would provide scientific and favorable evidence for the department of fireman to clear up a case of fire.
Study on Chaotic Time Series Prediction Algorithm for Kent Mapping Based on Particle Swarm Optimization
Authors: Bian Hong Li
Published: February 2014

Based on the particle swarm optimization (PSO) and BP neural network (BPNN), an algorithm for BP neural network optimized particle swarm optimization (PSOBPNN) is proposed. In the algorithm, PSO is used to obtain better network initial threshold and weight to compensate the defect of connection weight and thresholds of BPNN, thus it can make BPNN have faster convergence and greater learning ability. The efficiency of the proposed prediction method is tested by the simulation of the chaotic time series for Kent mapping. The simulations results show that the proposed method has higher forecasting accuracy compared with the BPNN, so it is proved that the algorithm is feasible and effective in the chaotic time series prediction.
Study on Elman Neural Networks Algorithms Based on Factor Analysis
Authors: Jing Shao Xue , Jia Wei Kuan
Published: February 2014

When we manipulate high dimensional data with Elman neural network, many characteristic variables provide enough information, but too many network inputs go against designing of the hidden-layer of the network and take up plenty of storage space as well as computing time, and in the process interfere the convergence of the training network, even influence the accuracy of recognition finally. Factor Analysis (FA) concentrates the information that is carried by numerous original indexes which form the index system, and then stores it to the factor, and can according to the precision that the actual problem needs, through controlling the number of the factors, to adjust the amount of the information. In this paper we make full use of the advantages of FA and the properties of Elman neural network structures to establish FA-Elman algorithm. The new algorithm reduces dimensions by FA, and carry on network training and simulation with low dimensional data that we get, which obviously simplifies the network structure, and in the process, improves the training speed and generalization capacity of the Elman neural network.
An Improved Pure Pursuit Algorithm for Four-Wheel-Steering Autonomous Driving Vehicle
Authors: Quan Miao Miao , Zhai Yong , Jiang Yan , Sun Yin Jian , Xu Da Lu , Gong Jian Wei
Published: February 2014

An improved pure pursuit path tracking algorithm is presented for a four-wheel steering (4WS) carrier vehicle to follow a desired path automatically. A bicycle vehicle model considering the 4WS carrier vehicles structural and steering features is applied in the method. Real vehicle tests in an open large outdoor warehouse showed that the lateral tracking error was less than 0.56m at 20km/h. And we can conclude that the enhanced method for 4WS vehicle has good tracking ability on flat road.
Estimation of Origin-Destination Demand Matrix for the Urban Multimodal Traffic Network
Authors: Wang Ya Nan , Si Bing Feng
Published: February 2014

In this paper we consider a procedure for the estimation of origin-destination (O-D) matrices for a multimodal transit network. The structure of urban multimodal transport system is fully analyzed and then a bi-level programming model is established for O-D demand matrices estimation, where the upper-level problem seeks to minimize the sum of error measurements in traffic counts and O-D matrices, while the lower-level problem is to assign a target O-D matrix onto the network according to the user equilibrium principle. And a heuristic algorithm is proposed, finally a numeral example is given which indicates that the solution approach can be applied in practice.
Production Parameters Optimization of Polyacrylonitrile Precursor Fiber
Authors: Wang Yi , Ding Yong Sheng , Hao Kuang Rong
Published: February 2014

Polyacrylonitrile precursor fiber as the as-spun fiber of carbon fiber plays a vital role in carbon fiber performances. In order to optimize the production process and the fiber performances of polyacrylonitrile precursor fiber, a production parameters optimization approach is proposed to find the relationship between the initial input and the final output of this fiber production and help to determine the production parameters according to the fiber performances required. Because fiber production is a complex industry process with a lot of parameters working together and them all have effect on the final performances, so this optimization is a multi-objective optimization which is based on particle swarm optimization formulas and production data. This approach can maintain the diversity of solutions, improve the accuracy of production parameters determining and provide a optimization of polyacrylonitrile precursor fiber.
An Improved Watermarking-Based Algorithm of Tamper Detection for Low-Cost EPC C1G2 RFID Tags
Authors: Yao Xiao Ming , Chen Hong Yu , Li Hong Lei , Zhou Xiao Yi
Published: February 2014

Data tampering as one of the primary security issues in RFID-enabled applications has been presented in recent years and proposals based on watermarking have been put forward to address different aspects of tampering in RFID tags. However, most of current researches are focused on the way of generating the watermark from the data to be protected and embedding it into the tag field (usually the field of serial number or SN) used as the cover medium, thus the innate structural coding relationship as a new clue to guess out the hidden watermark might be ignored. In this paper, this flaw has been fully considered, and a novel tamper detection method using CFB based encryption to hide the location clues is presented. Although it cant resist the attack from statistical analysis either, theoretical analysis has demonstrated that our scheme outperforms its previous counterparts in data security.
A Workflow Management System for College Laboratory Construction Project Based on MyApps
Authors: Wang Wei Hong , Peng Ming Ze , Zhao Yu Ru , Fang Zhao Lin
Published: February 2014

To improve the ability of undertaking large projects in colleges, this paper put forward a detailed development of College Laboratory Construction Project Management System on the analysis and construction of laboratory. This management system was developed with myApps which is highly useful for developing a management system based on workflow.
Visual Flexible Coding System Design Based on FSM
Authors: Zhang Xiao Fen , Cao Yan
Published: February 2014

According to analysis of manufacturing enterprise coding requirements, Visual flexible coding system (VFCS) is proposed based on code classification theory. It has four function modules: code structure design, code segment & bit design, visual coding and interpreting, code query. Firstly, code rules are expressed by extendable XML format as data structure. Secondly, code design is regulated into two stages: code structure design and code segment design, so as to realize separation of code structure logical and contents. finally, code segment structure information is described as graphic nodes, using interactive graphics drawing for visual modeling, finite state machine algorithm are used implementing code structure interpreter.
Traffic Data Fusion Research Based on Numerical Optimization BP Neural Network
Authors: Gu Yuan Li , Wang Xing Chuan , Xu Jian Xiang
Published: February 2014

The collection and management of dynamic traffic information is one of the most important part of ITS. Its a main task for it to improve the accuracy of the acquisition of the traffic information when facing up with different kinds of traffic detectors. Data fusion method can deal with data from different detectors and improve the accuracy. This paper first analyzed the characters of different traffic detectors, and proposed a method to repair the missing values which is a common phenomenon in the detect data. Then some improvements are made to adjust the BP neural network so that it could be suitable for data fusion. At last, the data fusion of traffic speed from the south of Jianguomen Qiao to the north of Chaoyangmen Qiao on the second ring road of Beijing is given as an example with the comparison of different improve methods of BP neural networks, and it shows that the method given in this passage is efficient in improving the accuracy of the traffic data detection.
Chaotic Time Series Prediction for Tent Mapping Based on BP Neural Network Optimized Glowworm Swarm Optimization
Authors: Hou Yue , Li Hai Yan
Published: February 2014

In order to improve the neural network structure and setting method of parameters, based on the glowworm swarm optimization (GSO) and BP neural network (BPNN), an algorithm of BP neural network optimized glowworm swarm optimization (GSOBPNN) is proposed. In the algorithm, GSO is used to obtain better network initial threshold and weight so as to compensate the defect of connection weight and thresholds choosing of BPNN, thus BPNN can have faster convergence and greater learning ability. The efficiency of the proposed prediction method is tested by the simulation of the chaotic time series of tent mapping. The simulations results show that the proposed method has higher forecasting accuracy compared with the BPNN, so it is proved that the algorithm is feasible and effective in the chaotic time series.
Laplacian Transductive Optimal Design for Face Classification
Authors: Zhang Rong Rong , Li Yue Hua , Wang Jian Qiao
Published: February 2014

The problem of face classification is essentially a nonlinear subspace classification problem. The features of different face samples lie on different nonlinear subspaces. If the most representative samples of each subspace are selected as the training set, we can enhance the reliability of the classification, as well as reduce the computation. In this paper, a manifold based active learning algorithm, called Laplacian Transductive Optimal Design (LTOD), is presented to select the most representative samples. LTOD reconstructs each sample by the graph Laplacian matrix to make sure that the reconstructed samples and the original samples share the same manifold structure. Then, the samples which can be used to best reconstruct the whole sample set are selected as the training set. The experimental results on Yale face database have demonstrated the effectiveness of our method.
Hierarchical Data Fusion in WSN Based on Mobile Agent
Authors: Zhang Sheng , Yang Hui Li , Xiong Hou Jin
Published: February 2014

We put forward hierarchical data fusion in WSN, in which different fusion algorithm is used in each logic layer. The singular values are kicked out before data fusion with QCP (Quantization coding on precision) method in the cluster, while Difference comparison fusion algorithm are used between cluster head nodes. Mobile agents are used in above two layers. Simulation results demonstrate that the algorithm improves the accuracy of the data integration, lower power consumption and extend the life of the network.
Parameter Identification Method Research Based on the BP Neural Network and Space Search
Authors: Li Qiang , Xu Zi Yang
Published: February 2014

This paper researches the parameters identification of grid units primary frequency, introduces the process of identification: Data capture, Data filtering, Data normalization and Based on the BP neural network and the method of Space Search. First of all, train the network by the unit response data. Then, get network model of weights and threshold value and the output of the network. Last, in the set search space, search the optimal results by the set step. Using the output of Space Search and the output of the actual system to do comparison, when the error is minimum, identification success, get system parameter. Through the simulation test, the method of parameters identify based on the BP Neural Network and Space Search Method is effective.
The Study of Feature Extraction of Handwritten Digits Based on Euler Algorithm
Authors: Hao Meng Lin , Tian Qi Chuan , Bai Xue
Published: February 2014

In order to let the computer to recognize the handwritten digits of our lives in common better and faster, on the basis of the advantages of the extraction method in the structural characteristics, this text designed a new characteristics extraction method based on the Euler algorithm. With fewer eigenvectors to retain the key information in the topology of 0-9 each of the numeric characters.And to a few special writing figures ,we conducted a special simplify processing, easily feature extract, easily identified. Experiments show that, this feature extraction method is simple and effective, saves the time of feature extraction, has somewhat improved the recognition rate compared with other algorithms, was confirmed the effectiveness and practicality of the new algorithm.
A Model Transformation Approache of Complex Systems - Case Study in Design Evolutions of Data Centers
Authors: Wiboonrat Montri
Published: February 2014

Unpredictable transaction requirements of IT business lead to miss design the right size of data center. Over design data center contributed to surplus capital investment and lifetime operations. Legacy data centers designed before the 2ndmillenniums over design capacity more than 60% of actual load. The research objectives are created a model transformation approach from legacy data center to mobile and modular data center M2DC and proposed multivariate optimization for the right sizing of data center as business needs by using case study. The research method is investigation and assessment through 21 sample data centers and in-depth interviews with IT managers (32) and data center consultants (8). The fact findings have shown the standardized modular of M2DC force requirements to fit in the building boxes and expansion as needs.
A Class of Collocating Problem in Production and its Optimization Models
Authors: Tan Dai Lun , Chen Hong Xia , Cui Ze Jian
Published: February 2014

The paper gives a general description of a typical combinatorial optimization problem-the collocation problem of production, and respectively establish the integer linear programming model based on the collocation ways and the integer linear programming model based on the optimal collocation amounts and the integer nonlinear programming model based on the local optimum. In the solving methods of the models, we have mainly analyzed the enumeration method and the method by using LINGO optimization software to solve the model. The instance shows that the models and solutions are all effective. The first model reflects the mechanism of the collocation problem better and gets the global optimal solution most likely, but more difficult to solve large-scale; the second model can quickly obtain the optimal the numbers of the finished products and all kinds of materials consumptions, but still need to enumerate the collocation ways step by step; the third model can gets the local optimal solution and the specific collocation ways through solving the model circularly. The optimization models and solution methods in this paper can be extended to the similar sub-problems of the combinatorial optimization problems, such as assembly problem, packing problem, the cutting problem, etc.
Research and Application of Recycled Paper
Authors: Liu Ying Ping , Yan Yao , Qiao Fang
Published: February 2014

In this paper we analysed application status and reasons of recycled paper, researched physical properties, mechanical properties, optical properties, chemical properties and printing adaptability of recycled paper and tested the important indexes . The test data was compared with ordinary offset paper and there is little difference. The result shows recycled paper can be wildly used for offices, book, paper toys etc.
Design and Establishment of Information Exchange Standard on Campus
Authors: Shen Si Si , Ding Ai Xia
Published: February 2014

Exchanging and sharing information are the basic request for the Digital Campus. To deal with the current problems of information sharing and integration, the content and framework of the universal data interchange platform are introduced in terms of the categories of processes and the layers of information exchange. And a data interchange model was developed to elaborate the data exchange between different departments on campus. Four key technologies, such as XML data model, XML data hybrid storage, data standard construction and data import & export module are presented so as to define the implementation and exchange paths. The current practice of implement the exchange standards and future study are also discussed.
Cloud Computing Resource Schedule Strategy Based on PSO Algorithm
Authors: Xiong Ying Yidu , Wu Yan Yan
Published: February 2014

Resource schedule Strategy is the core technology of cloud computing. PSO algorithm is one of dynamic adaptation resource scheduling algorithms to cloud computing. The virtual machines and the hosts can be scheduled reasonable by adjusting parameters. The resource can be scheduled quickly because of the dynamic trend calculation of PSO algorithm, to ensure real-time of the Cloud Calculation.
Experimental Study on Seismic Performance of Small Span-to-Depth Ratio Coupling Beams with PVA Fiber Reinforced Concrete
Authors: Ye Yan Xia , Qin Long Hai , Liu Tao , Sun Xiang Yang
Published: February 2014

A series of pseudo-static tests were conducted with 4 coupling beams whose span-depth ratio 1.2. Common reinforced concrete and PVA fiber reinforced concrete were used for different specimens. In each of the specimens, there were longitudinal reinforcement, constructional reinforcement and stirrup, one of the specimens had crossed reinforcing bars. The failure mode of the coupling beams were studied, as well as hysteretic behavior. The test result indicated that using PVA fiber reinforced concrete could improve coupling beams carrying capacity, and could also reduce the amount of stirrup needed for seismic calculation; PVA members ductility was also improved.
A New Method of Battlefield Situation Collaborative Plotting Based on Ontology
Authors: Shan Wei Feng , Zhou Ji Wen , Dai Hong Jie , Wang Peng
Published: February 2014

Due to the diversity of the situation information collected in the battlefield, and the conventional way of plotting runs with low efficiency and slow speed. This paper bring forward a new method of battlefield situation collaborative plotting based on ontology, which improves the integration plotting efficiency by formulating the local ontology construction. And based on the local ontology character constructed, solved the semantic mapping problem in the process of rapid ontology integration with a new similarity calculation algorithm.In the end this paper design a battlefield situation collaborative plotting prototype system based on client-server mode consequently.
The Research of Solvothermal Method Preparation of Y2O2S:Eu3+0.06, Mg 2+0.04,Ti4+0.01 Water-Soluble Red Afterglow Materials
Authors: Chen Hui , Zhang Ya Cong , Chen Che , Wang Zhi Long , Yao Ning
Published: February 2014

Series sample were prepared with solvothermal method using ethylene-diomine as solvent, at 220°C for 24h. All samples are white powder and XRD proofs that all of them are single phases. Using the Laser granularity cryoscopy (rise 2008) to measure the samples size , and most samples sizes are from 150nm to 200nm. SEM photo shows that the Y2O2S:Eu3+ morphologies are spherical but have some aggregation. Emission spectrum of Y2O2S:Eu3+,M g 2+,Ti4+ shows that while co-doping M g 2+,Ti4+ions , the strongest peak dosent change . Prepared with high temperature solid insoluble samples compared to samples of this water-soluble luminous intensity is not high.
A Research on the Web Services Composition Model and its Transformation Based on MDA
Authors: Gu Ping , Chai Ming , Zeng Jian Min
Published: February 2014

At present, the growing numbers of Web services are available for reuse. It is a valuable research topic that using the existing web services to create more complex web services. The process of creating more complex web services is actually the same to the process of service composition. In this paper, we propose a readable and easy transformed web services composition model based on the profile of Unified Modeling Language (UML). We also implement the transformation from the composition model to Business Process Execution Language (BPEL) based on Model Driven Architecture (MDA).
Fast Chain Coding of Connected-Component Boundaries
Authors: Liu Yan , Chen You Guang
Published: February 2014

A new method to obtain connected component in binary images is presented. The method uses DFA automaton to obtain chain code and label the component boundary It is theoretically proved that the algorithm improves the image encoding efficiency closer to the lowest time consumption.
Application on Selecting Simultaneous Factor of City Community Based on Data Mining
Authors: Ji Wei , Xie Qing , Zhang Hong Wei , Hu Wei Tao , Lü Fang Cheng
Published: February 2014

Selecting simultaneous factor is the basis for the power system load forecasting reasonably. Presently, the simultaneous factors selection is lack of theoretical basis, selecting results cant match the actual electricity demand of community reasonably. Accordingly, this paper presents a method for determining simultaneous factor of city community based on data mining. By analyzing the main factor of city communitys simultaneous factor, construct index system of simultaneous factors influencing factor. Establish the fuzzy membership function to do the unified quantization of qualitative indexes and standardization, do cluster analysis with the treated samples based on fuzzy K-means clustering algorithm, according to the clustering results predict new samples simultaneous factor. The actual examples show that, this methods selection principle of simultaneous factor is more systematic and scientific, the results are more significant for the distribution network planning of practical city community.
Influence of Degrease Rate of Larix by High Temperature and Pressure
Authors: Qi Hua Chun , Sun Yao Xing
Published: February 2014

Northeast of Larix was degreased by high temperature and pressure steam-vacuum, and study the best conditions of degreasing, different thickness and moisture content of specimens at temperature, time, and vacuum degreasing and drying, testing its degrease rate . The results showed that the degrease rate of wood treated with high temperature and pressure steam-vacuum treatment was significantly improved. The study dealing with conditions can make degrease rate of larch 63.05%.
Effect of High Temperature and Steam on Dimensional Stability of Wood
Authors: Qi Hua Chun , Sun Yao Xing
Published: February 2014

Japanese Sugi (Cryptomeria japonica D.Don) wood was dried by superheated steam under the temperature of 140,160,180°C and the relative humidity of 100% to make wood flooring. Moisture absorption and desorption characteristics, Fourier Transform Infrared Spectroscopy of treated wood were analyzed to investigate the dimensional stability at saturated and dry ambient condition. The results showed that the dimensional stability of wood treated with superheated steam under high temperature was significantly improved.
No-Wait Flow Shop Scheduling Based on Discrete Harmony Search Algorithm
Authors: Sun Qiang Qiang , Dong Bin
Published: February 2014

This paper proposed a discrete harmony search algorithm, named DHS, for solving the no-wait flow shop scheduling problem with the objective to minimize total flowtime. Firstly, the total flowtime is shown. Secondly, a harmony is represented as a discrete job permutation and the well-known NEH method is proposed to initialize the harmony memory. Thirdly, Extensive computational experiments are carried out based on a set of well-known benchmark instances. Computational results show the effectiveness of the DHS algorithm in solving the no-wait flow shop scheduling problem.
Research on Information Description Mechanisms for Equipment Maintenance Support Resource Based on Metadata
Authors: Guo Xiao Ming , Ma Liang Li , Su Kai , Sun Yu Fei
Published: February 2014

Based on metadata, this paper introduced an equipment maintenance support information description mechanism to store, manage and apply mass maintenance support data efficiently. The metadata was acquiesced by manual logging and auto extracting. The core content was the metadata generated process, in which metadata content, summary and core metadata were defined based on actual equipment maintenance support resource information. The unitized description laid a strong foundation for equipment maintenance support resource information integration.
Using Multi-Scale Gaussian Derivatives for Appearance-Based Recognition
Authors: Zhang Yue , Liu Chuan Cai , Zou Jian
Published: February 2014

This paper addresses a novel global appearance-based approach to recognize objects in images by using multi-scale Gaussian derivatives (GDs). Because the GDs distributions of filtered images are almost picked, this obstacles obtaining discriminative binned distributions for each image. For this reason, we execute k-means clustering on each scale of pooled Gaussian derivative set of the instances come from all classes to yield k-cluster centroids for partitioning feature space, thus generating normalized binned marginal distributions for all training and testing samples, which are holistically adaptive to underlying distributions. On similarity matching, we identify each image with a point of product multinomial manifold with boundary, and use the direct sum of geodesic distance metric for sets of binned marginal densities. The promising experimental results on Zurich buildings database (ZuBuD) validate the feasibility and effectiveness of our approach.
Design and Implementation of Router Configuration Software in the Information System
Authors: Liu Jun Xian , Zhang Wei , Zhou Quan Zhi , Lou Xiao Fang , Fei Xu
Published: February 2014

Due to the complexity of the router, its professional configuration leads to the phenomenon that operation and maintenance personnel of the information systems can not be competent for the configuration tasks. In order to lower the practitioner threshold of their operating and maintenance personnel, a WYSIWYG router configuration software in graphical interface needs to be developed. With the reduced quality requirements of employees, the main functions of the router configuration are achieved. This article describes the development and design of this kind of configuration software.
Face Detection Based on Skin Color and AdaBoost Algorithm
Authors: Wang Yu , Ban Xiao Juan , Yang Xing , Guo Yi Fei
Published: February 2014

Skin color segmentation and AdaBoost algorithm always play important roles in various face detection methods. To combine the two smoothly, this paper investigates face detection methods based on skin color feature and AdaBoost algorithm. Experimental results show that the proposed methods can effectively reduce the false alarms.
Huangbai Quality Assessment Based on Information Reduction and Defuzzification Weibull Distribution
Authors: Lin Jian Yang , Jiang Ming Yan , Zhou Hui
Published: February 2014

According to the traditional morphological classification, the Huangbai quality of traditional chinese medicine is divided into recommended products and non-recommended products; Discrete the chromatography data of the Huangbai which obtained under the condition of standard test and also make the information reduction. Obtaining the great peaks of linear independent vectors and obtaining every clustering centre data of Huangbai by the fuzzy and Defuzzification methods. Make Huangbai criterion and sample data as weibull distribution to calculate similar. This research combines the plant morphology, chemistry, statistics and calculating technology to establish the pattern identification methods of quality and have good attempt to Chinese traditional machine quality methods. The research results provide the basis for quality standard revision of Huangbai.
A Novel Method for Preparing Biomimetic Oleophobic Surface on X70 Pipeline Steel
Authors: Li Hao , Yu Si Rong
Published: February 2014

A novel method for preparing oleophobic surface is presented. In this article, an oleophobic surface on X70 pipeline steel was prepared successfully by the combination of shot blasting, hydrochloric acid aqueous solution etching, and modified with low-energy material. The influences of the concentration of hydrochloric acid and chemical etching time on the oleophobicity were analyzed. And the optimal experimental parameters were determined. The surface morphology and chemical composition were observed by the field emission scanning electron microscopy (FESEM) and energy dispersive spectrometer (EDS), and the contact angle was measured by contact angle meter. The results showed that micro-nanocomposite structure on the substrate was formed after shot blasting and chemical etching of hydrochloric acid aqueous solution. After low-energy modified, the specimen obtained the better oleophobicity, and the maximum contact angle between the surface and peanut oil was 140°.
Experimental Studies on the Influence of Gradation of Recycled Coarse Aggregates to the Strength of Self-Compacting Concrete
Authors: Liu Han Qing , Liu Ying Li , Gao Lin
Published: February 2014

To make full use of waste clay bricks, we made recycled coarse aggregate by waste clay bricks and used it in self-compacting recycled concrete. In order to improve the utilization rate of recycled coarse aggregate and realize good workability, we adopted skeleton dense accumulation method. With the fitted curve method, we obtained an accumulation curve of recycled coarse aggregate with reasonable gradation. Under the same conditions, we made contrast test with the recycled coarse aggregate by different gradation way. Through contrast test, we found that the recycled concrete with skeleton dense accumulation method has better performance in strength and workability, and his method improved the utilization rate of the recycled coarse aggregate.
Digital TV Program Recommendation System Based on Latent Factor Model
Authors: Yin Fu Lian , Chai Jian Ping , Li Nan , Gao Ya
Published: February 2014

In order to solve the problem of information overload, which is a consequence of the extreme abundance of digital television (TV) program resource, this paper proposed a digital TV program recommendation system based on latent factor model (LFM). This system constructed a digital TV program recommendation system structure including information inputting unit, system analysis unit and information recommendation sending unit. The proposed program type analysis method searches for the relation between audience interest and the programs which audiences watch. To classify the audience crowd, there are two types of analysis method which are program type threshold analysis and program type cluster analysis that based on artificial classification of experience value and automatic clustering with arbitrary number of clusters respectively. The feasibility of the algorithm has been proved by simulated analysis.
A High-Performance Wireless Mesh Network Routing Protocol
Authors: Liu Zuo Xue , Dai Jian Mei , Sheng Yi Jun , Wang Zi Fan
Published: February 2014

BATAMAN (Better Approach to Mobile Ad-hoc Networking) is a new wireless Mesh network protocol. The algorithm of BATMAN protocol was analyzed, the BATMAN protocol was designed based the embedded Linux and realized on the self-developed wireless Mesh node mounting multiple Wi-Fi modules. The pragmatic performance was test in the multi-hop Mesh prototype network. The result shows that: the characteristics of throughput and latency of BATMAN protocol which is lightweight, rapid convergence and efficient can meet the real-time and broadband transmission requirement of wireless Mesh network.