bluuebunny/crossref_metadata_2025 huggingface dataset:
Research and Implementation of the Secure Database-Update Mechanism
Authors: Liu Chun , Tan Kun
Published: February 2014

For a safety critical computer, large-scale data like database which has to be transferred in an instant time cannot be voted directly. This paper proposes a database update algorithm for safety critical computer based on status vote,which is to vote the database status instead of database itself. This algorithm can solve the problem of voting too much data in a short time, and compare versions of database of different modules in real time. A Markov model is built to calculate the safety and reliability of this algorithm. The results show that this algorithm meets the update requirement of safety critical computer.
1. Communication protocol for database update
1.1 TFTP protocol
TFTP is a simple protocol for transporting document. It usually uses the UDP protocol to realize but the TFTP does not require the specific agreement of implementation and can implement with TCP in special occasions. [This agreement is designed for small file transferring, so it doesn't have function many FTP usually does; it can only acquire or write the file from the server and not able tot list directory, not authenticate. It transfers 8 bits of data with three models: netascii, the eight-bit ASCII form; octet, the eight-bit source data type; mail, no longer supported, it returns the data back directly to the user rather than saved as a file.
1.2 SRTP Ethernet security real-time data transfer protocol
LabVIEW-Based Design of Virtual Instruments and R&G of Virtual Experimental System
Authors: Wang Yong Ning
Published: February 2014

With the popularization of network technology, the computer technology is developing rapidly coupled with the emergence of virtual instrument technology. In this context, virtual experiment, an effective complement to the development of the traditional experimental method, has very broad spectrum of application in the field of education, measurement, and even other research areas. Thus, virtual experiment has become an important future development of experimental teaching. Based on analysis of the history and current status of the existing virtual laboratory at home and abroad, as well as the technologies used to accomplish a virtual experiment, this thesis makes a comprehensive study to analyze the construction of the virtual experiment system, including the basic theory of its establishment, the network environment, application classification, the specific tectonic model and technical methods and its development and applications.
Application of Cloud Counting in Product Platform Design Services Research
Authors: He Dan Dan , Qin Fang , Wang Can
Published: February 2014

Product platform is a key theory in mass customization method, and it can satisfy diversely customer needs at high efficiency service and reduce enterprise product development costs. This dissertation explores the product platform development routing and design ability service and resources virtualization and other key technologies in the migration process of product platform to cloud platform in the background of computing clouds technology and product platform theory. It proposes the product platform design service architecture based on cloud computing and its design service modes and the related key technology to the study, including product platform resources virtualization in cloud computing environment and product family design ability services technology and product platform cloud data center retrieval technology, etc.
The Application of the Fuzzy ART Neural Network Algorithm
Authors: Gu Ming
Published: February 2014

An algorithm based on fuzzy ART neural network which can deal with online-learning and recognition of the known and unknown faces at the same time was designed and realized. Based on structure and learning rule of the fuzzy ART system, face recognition algorithm was designed. The simulation experiment results show that average recognition rate of not fast learning is better than fast learning. Not fast learning is accepted to get 89.83% online and 99.42% offline recognition rate.
Ant Colony Algorithm Dynamically Adjust the Parameters Based on Chaos Theory
Authors: Gui Tao , Fu Xue Liang , Dong Gai Fang , Sun Xun Ying , Bao Li Min
Published: February 2014

Ant colony algorithm as an intelligent bionic optimization algorithm, Because of its use of positive feedback mechanism, the result will be prone to premature, stagnation and slow speed of solving the problem etc. For this shortcoming is proposed based on chaos theory adaptive dynamic parameters ant colony algorithm (PDSACA Dynamic Parameters Self-adaptive Ant Colony Algorithm).In the process of the dynamic algorithm solving, introducing chaotic disturbance technique, the parameters of the algorithm design of dynamic changes to affect the algorithm quality and global parameters are adjusted adaptively to improve the global search capability. By using the TSPLABs reference example to test the algorithm. Experimental results show that the convergence of the algorithm, robustness and efficiency have been improved to Compare with the basic ant colony algorithm.
Second Screen Solution Based on Cloud Centric Media Platform
Authors: Xie Tian , Jin Yi Chao
Published: February 2014

As the ubiquitous penetration of high-speed Internet and mobile devices, the media consumption landscape has been significantly transformed due to the increasing popularity on social interactions and multi-screen viewing behaviors. This paper proposes a second screen solution based on Cloud Centric Media Platform. We will introduce a complete and robust layering design of Cloud Centric Media Platform, and an innovative application called video teleportation. We build a proof-of-concept testbed based on a private cloud at Nanyang Technological University (NTU). The performance evaluations indicate the application is efficient, feasible and easy to use.
AR-Tri-Training: Tri-Training with Assistant Strategy
Authors: Cui Long Jie , Wang Hong Li , Cui Rong Yi
Published: February 2014

The classification performance of the classifier is weakened because the noise samples are introduced for the use of unlabeled samples in Tri-training. In this paper a new Tri-training style algorithm named AR-Tri-training (Tri-training with assistant and rich strategy) is proposed. Firstly, the assistant learning strategy is posed. Then the supporting learner is designed by combining the assistant learning strategy with rich information strategy. The number of mislabeled samples produced in the iterations of three classifiers mutually labeling are reduced by use of the supporting learner, moreover the unlabeled samples and the misclassified samples of validation set can be fully used. The proposed algorithm is applied to voice recognition. The experimental results show that AR-Tri-training algorithm can compensate for the shortcomings of Tri-training algorithm, further improve the testing rate.
A Wireless Sensor Network Routing Algorithm Based on Zigbee
Authors: Wu Hua Rui , Zhu Li
Published: February 2014

Routing strategy with effective and saving energy is an important problem in the research on the application of wireless sensor network into the farmland micro climate and soil moisture monitoring,it analyzed the disadvantage of the layered tree routing algorithm and ZigBee routing algorithms in energy saving, combined with ZigBee network topology,establishing an optimal node analysis model based on fuzzy decision, bringing forward a new routing algorithm which is suitable for large-scale farmland gradient environment, this new algorithm find out the quantitative relation between energy consumption and routing node selecting strategy,which can greatly decrease the route hop number by routing discovery mechanism and create an optimum goal group. Simulation results showed that compared with the layered tree and ZigBee routing algorithms,the new routing algorithms can significantly reduce the energy consumption of routing process.
The Research on the Software Requirement Development of Information System
Authors: Li Xian Yu , Wang Hua , Zheng Jian Qun , Li Xiao Kun , Wang Shan
Published: February 2014

Based upon the synopsis of software requirement development, this paper describes the practices of user requirements exploitation, product requirements exploitation, requirements analysis and validation, and then puts forward engineering process relation and requirement development practice. Meanwhile, further works are brought forward. This will benefit the software requirement development of information system.
Labelling Edges of Models from Complex Networks
Authors: Yao Bing , Yao Ming , Yang Si Hua , Chen Xiang En , Zhang Xiao Min
Published: February 2014

Labelled models are used in researching areas of communication networks, cryptography, computer science, biology, information networks etc, and they are for simulating real networks or studying algorithms.The aim of this work is to generalize several labellings to models related with complex networks.
A Collaborative Filtering Recommendation Algorithm Combined with User and Item
Authors: Liu Feng Ming , Li Hai Xia , Dong Peng
Published: February 2014

The collaborative filtering recommendation algorithm based on user is becoming the more personalized recommendation algorithm. But when the user evaluation for goods is very small and the user didnt evaluate the item, the commodity recommendation based on the item evaluation of user may not be accurate, and this is the sparseness in the collaborative filtering algorithm based on user. In order to solve this problem, this paper presents a collaborative filtering recommendation algorithm based on user and item. The experimental results show that this method has smaller MAE and greatly improve the quality of the recommendation in the recommendation system.
Corrosion Behavior of Duplex Stainless Steels (2205) in Seawater in the Presence of Deep Sea Bacteria
Authors: Odhiambo John Gerald , Zhang Li , Liu Tao , Dong Li Hua , Yin Yan Sheng
Published: February 2014

The corrosion behavior of duplex stainless steel immersed in nutrient-rich simulated seawater without deep sea bacteria and with deep sea bacteria (Erythrobacter pelagi sp.nov) was studied. The effect of chloride ions and presence of deep sea bacteria on corrosion resistance was investigated. The occurrence of localized corrosion (Viz. pitting and crevice corrosion) was examined using visual inspection and SEM-EDX. Electrochemical impedance spectra were used to study the effects of deep sea bacteria on duplex stainless steel and inferences were made. Most significantly was the reduction of pitting resistance potential with increase in exposure time.
Definitions of Tamper-Proof Program
Authors: Ma Guo Jun , Li Gang
Published: February 2014

According to the problem that the intelligence is not high of the soccer robot, using the mechanical theory as a guide, making some mechanical analyses and calculations on the pressure and transmutation states of chip kick mechanics, and conducting optimal design too, then making the structure of chip kick mechanics more and more rationalization. Experiments show that the new soccer robot controller features a quick response and high servo rigidity, and provide a kind of method for improving and perfecting the soccer robot control system, at the same time, filling the needs of producing.
Tampering is a major challenge in software protection, Many techniques for tamper resistance been proposed, but there is a lack of theoretical investigation, In this work, we initiate a theoretical investigation on program tampering and tamper-proof programs to discuss the question that what is program tampering and whether we can construct a program whose functionality cannot be tampered. To do this, We give the definitions of tampering attacks and the corresponding secure programs. theory and approach provable security of tamper-proof.
Research and Implementation of the Smart Home System Based on Internet of Things Environment
Authors: Wang Heng , Zheng Bi Geng
Published: February 2014

As one of the freshest technologies nowadays, the development of Internet of Things is attracting more and more concerns. Internet of Things is able to connect all the items to Internet via information technology such as RFID and Wireless Sensor Network, in order to realize intelligent identification and management. It is supposed in Internet of Things environments, satisfactory services can be provided through any devices or any networks, whenever it is demanded. It makes that not only PC device but also other small devices with intelligence can be connected to the same network. As a result, It is much more convenient for people to obtain real-time information and then to take corresponding actions.
Automatic Mining and Processing Dormancy Data in the Database Management System for Small and Medium Enterprises
Authors: Zeng Jian Hua , Xiao Zheng Xing
Published: February 2014

The paper studies how to mine automatically and process the dormancy data and then improve the performance of database management system. It analyzes the main mode of dormant data into the data warehouse, the innovative design of SQL capture and changer function, as well as gives the statistical method of recognition dormant data in data warehouse, and the SQL change and capture function migration to the application server, automatic capture dormancy data without professional intervention. It helps to solve the problem of the lack of staff and cumulative historical data influence performance of the database management system in the small and medium-sized enterprises.
Research on the Application of Computer Data Mining Technology in the Financial Risk Management
Authors: Yu Li Hong , Xu Ya Li , Dai Lin
Published: February 2014

The computer data mining technology plays an important role in the financial risk management. It can extract the implicit data that people don't know in advance, in the mean time, and potentially useful information and knowledge for managers to provide decision-making reference. This paper introduces the concept of data mining, the process and main technology first, and then introduces the typical application of data mining in the financial risk management, such as customer relationship management, credit risk assessment and financial crisis early warning analysis. At last, it has a summary to provide the risk management for the financial industry.
The Study of the Requirement of Software Testability Based on Causal Analysis
Authors: Liu Ye , Wang Yi Chen
Published: February 2014

Requirements for software testability is an important basis of design for software design of testability. During the software-testability-design work, a series of software design for testability measures must be taken to make software testing stage less detours, and formulation and implementation of requirements for software testing is an important element. This paper introduces a kind of develop-method of requirements for software testability. According as causal analysis, basing on manifestations of software testability, the method develops appropriate requirements for software testability for software system.
Preface
The software testability is referred to as a kind of attribute that aims to facilitate the application test and improve the location and correction of software error [. To a certain extent, the software testability can solve some problems facing the software test, such as helping the designer to develop the software that is easier to test, so as to reduce the test difficulty, save more test time and optimize the resource allocation. Therefore, the software testability has stood out as quite an important factor that has a great effect on the cost, time and labor allocation of software test, which are also closely related to the quality of software engineering [.
Since the 1990s, the software testability has been widely concerned by the scholars both at home and abroad. According to the relevant literatures collected, the general research direction has been toward the measurement and analysis of the software testability [. It should be noted that a well developed scheme of the requirement of software testability can not only enhance the testability of the target software, but also serve as the evaluation criterion of the testability, which means that it will have special reference to the improvement on the software test [.
Based on the casual analysis, this paper has sought to provide a whole set of the requirement of software testability and come up with a real case so as to approach the design issues of the software testability [.
1 The requirement of software testability
A Proxy Signature Based on the Difficulty of Solving Equations of Higher on Quaternion Ring
Authors: Shao Hui , Zhang Fan , Yuan Xiao Zhuan , Qi Chuan Da
Published: February 2014

At present, all the applied schemes of the digital signature schemes based on the research of the factoring problem, discrete logarithm problem, and discrete logarithm problem on the elliptic curve cant meet the demand of actual application. This paper introduces the knowledge to the digital signature and studies the signature scheme based on the quaternion ring. The scheme introduces the multivariate functions of high degree to non-commutative quaternion ring, and its safety based on the computational difficulty to solve the the multivariate equations of high degree. The article applies this thought to proxy signature and designs a proxy signature scheme. Finally, it gives the safety analysis of the new scheme.
The Software Quality Fuzzy Comprehensive Evaluation Method Research
Authors: Yuan Xiao Tong , Yang Hua Min
Published: February 2014

For the data is fuzziness and the uncertainty on software quality evaluation,on the basis of ISO 9126 quality model,an evaluation model of software quality is established based on fuzzy comprehensive evaluation and analytic hierarchy process in this paper.Through the establishment of software quality evaluation model, we can solve the multi-index evaluation problems of software quality effectively and it can be used to guide users to improve software process.
Research and Simulation of Performance of W-SVD Watermarking Algorithm Based on Color Images
Authors: Fang Hou Xiao , E Zhang Chun
Published: February 2014

The paper presents an algorithm for digital watermarking in colored image, which combined with singular value decomposition and discrete wavelet transform, it selects R-vector of colored image to do discrete wavelet decomposition, and extracts the low-frequency coefficients to finish singular value decomposition and generate watermark template, then reconstructs image after embed watermarking, completes the process of embedding watermarking. The algorithm makes full use of the excellent properties of the wavelet and singular value decomposition, which makes good performance for watermarking system. To this algorithm, the paper studied from two aspects of the image perceptual quality and robustness, and analyze the influence of the parameters in the performance of watermarking algorithm, a number of experiments and data show that these values may bring essential influence to the performance of digital watermarking system, also explains the importance of value selection in the algorithm. The conclusion of the paper is typical and universal, has certain reference significance to research and design the watermarking algorithm.
The Research and Improvement of MapReduce Cluster Scheduling Strategy Based on Ant Colony Optimization
Authors: Zhang Ya Ping , Qin Jun , Zhai Zhao
Published: February 2014

The distributed computing framework of MapReduce has been widely used in big companies as a powerful tool for processing large scale of data. This paper will introduce the existing algorithms about MapReduce job scheduling and analyze the major two ones. It points out the defects of multi-task scheduling application on processing massive jobs and proposes a kind of multi-task cluster schedule algorithm MSBACO which is based on the ant colony optimization. The results of the experiments have proved its effectiveness and stability in heterogeneous environment.
Research on Low Velocity Impact Damage of Laminated Composite
Authors: Long Shu Chang , Li Ze Jin , Kuang Gang , He Yan Bin , Yao Xiao Hu
Published: February 2014

Damage caused by low-velocity-impact in laminated composite will significantly reduce the strength of the structure. A new numerical model is proposed for the research on the impact induced damage of laminated composite. Multiple forms of damage within and between layers are considered in this model. The cohesive contact technology is used to simulate the bonding properties between layers. The model can describe the information of delamination more accurately and efficiently. Then, a study is carried out to investigate the relationship of delamination and matrix cracking caused by low-velocity-impact. The result reveals that the area and axis of the delamination zone is affected by the direction of the matrix cracking zone.
Research on Fast Community Detection Algorithm in Microblog
Authors: Tian Jie , Guo Hao , Wang Yu
Published: February 2014

According to the problem of extracting the community structure of large networks, we propose a simple heuristic method based on community coding optimization. It is shown to outperform the InfoMap community detection method in terms of computation time. Experiments show that our method can find out various communities in microblog, which reveal the core structure of the network.
A Framework for Detecting Weighted Communities in the International Trade Network
Authors: Yan Lei Ming , Han Jin
Published: February 2014

Community discovery is a crucial task in social network analysis, especially in describing the evolution of social networks. Although some works have focused on finding the dynamic community, there are still some open problems need to be conquered, such as analyzing the dynamic and weighted community. In this paper, we propose a framework for analyzing weighted communities and their evolutions via clustering correlated weight vectors to enhance existing community detection algorithms. The International trade network is used to verify our framework. Experiments show that the framework discovers and captures the evolving behaviors with temporal elements and weight values.
Evaluation of Literature Reading Value Based on User Interests Mining
Authors: Zhao Ya Hui , Zhang Zhen Guo , Cui Rong Yi
Published: February 2014

A literature evaluation method based on user interest is proposed by synthesizing self-values of literature and subjective values relative to query users in this paper. Firstly, in the process of mining user interests by hierarchical clustering, vector space model is employed for expressing the literature information that reflects users download behavior and the feature space is compressed by latent semantic indexing to reduce the space dimension. Secondly, subjective value of new literature relative to researchers is quantitatively evaluated in latent semantic space. Finally, the comprehensive evaluation model of literature reading value is constructed by the transformed E-measure index based on self-value and subjective value relative to query user. Experiments show that the proposed evaluation method by fully weigh subjective and objective factors of literature is more reasonable and effective compared with the traditional evaluation methods.
Research and Analysis of IT Customer Service System Structure
Authors: Chen Qiang , Xiang Xin Ming
Published: February 2014

The core ideal of IT customer service management is that all business activities of the enterprise shall base on fulfilling with customers needs, and treat providing products or services tailored to customers needs as the enterprises obligation, and treat customers satisfaction as the enterprises objective. By referencing to international standard theory in ISO20000 and combining with the real work situation of IT customer service, this article analyses and gives the overall structure and main contents of IT customer service system, and aimed at planning service catalogues, service specifications, service procedures etc., so to ensure to provide safe, stable and high quality IT customer services to customers to meet mutual agreements, and to increase the cost efficiency of IT resource investment, and to improve service efficiency and customer satisfaction.
Pseudo-Dynamic Test Analysis of Plane Steel Frame with Semi-Rigid Connection
Authors: Wang Xin Wu , Hu Chang Jiao
Published: February 2014

In this paper, the pseudo-dynamic test of the plane steel frame with slit T steel connection was carried out.According to the results of the experiment,we focused on the analysis of strain,the acceleration response,displacement response and hysteretic performance of the steel frame to investigate the seismic performance of the steel frame,so as to provide experimental basis for improving the design of steel structure in our country.
Application of Data Mining Technology in CRM
Authors: Liu Ya Fei , Li Meng Ya
Published: February 2014

Regarding to the technical difficulties of reachingvaluable knowledge and information from CRM mass of data and information, this article brings up the idea that we could apply the data mining technology in CRM. The data mining classification methods helps us to find out the potential customers with high value. The article describe how the methods and processes how could we apply the data mining technology to CRM and on the basis of decision tree algorithm to construct the CRM data mining model, and help companies better understand the customers behaviors and improve the core competitiveness of enterprises.
A Research of GIS Software Application Based on Cloud Computing
Authors: Diao Zhi Jian , Guo Song
Published: February 2014

Cloud computing is a novel network-based computing model, in which the cloud infrastructure is constructed in bottom level and provided as the support environment for the applications in upper cloud level. The combination of clouding computing and GIS can improve the performance of GIS, and it can also provide a new prospect of GIS information storage, processing and utilization. By integrating cloud computing and GIS, this paper presented a cloud computing based GIS model based on two features of cloud computing: data storage and transparent custom service. The model contains two layers: service layer and application layer. With this two-layer model, GIS can provide stable and efficient services to end users by optimized network resource allocation of underlying data and services in cloud computing.
Migration of Stored Procedure to Distributed Cloud Database
Authors: Duan Ke Nan
Published: February 2014

Many legacy applications rely on a single instance relational database. In the age of big data, applications with growing popularity may continue to generate large amount of data. The data would be beyond the limit of a traditional relational database. These applications can be migrated to a distributed database system for acquiring high scalability and performance. But the migration process is complicated especially for user defined stored procedure. In order to obtain the correct behavior, a stored procedure usually has to be rewritten in the application code. This rewriting is usually a time consuming and unpleasant task. This study gives a mechanism for migrating stored procedure from single instance relational database to distributed sharded database without the need of application code rewriting. In the migration solution offered by this study, Oracle stored procedure code is parsed, analyzed, and translated so as to be stored and executed globally in a sharded database.
Design of Books Analysis System in University Library Based on Data Warehouse
Authors: Luan Xiu Mei , Jiang He
Published: February 2014

The design of books analysis system is beneficial to sufficiently using the accumulated data resources to guide work for librarians and help library leaders make decisions. The paper presents a system architecture of library books based on data warehouse. It focuses on several key technologies in building data warehouse, analyze and design the client application, It uses the accumulated data of college library as data resources , simulate simple data warehouse and use OLAP technology. It makes manager analysis data on different levels and aspects and show the result in the form of forms and charts.
The Key Technology for Mobile Digital Campus
Authors: Luan Xiu Mei , Wang Yu Li , Jiang He , Shan Jian Fang
Published: February 2014

With the widespread use of mobile devices, universities are speeding up the construction of digital campus. Mobile digital campus system described in this paper contains campus view, voice campus navigation, voice dialogue, information query, campus news, books query, study BBS and other functions. Its key technology combines the query with voice, maps and other features forms an integrated Android mobile application platform with powerful function and program scalability.
An End-User Oriented Visual Programming Language
Authors: Jia Ying , Shen Be Jun , Yu Tian Yu , Zhu Jian Gang
Published: February 2014

With the promotion of IT applications and the rise of Web 2.0, mass users' individual requirements continue to emerge. How to quickly meet increasing development and maintenance requirements has been a critical problem of software development. Is it possible for end-users to develop software This paper chooses Web information systems as the research field, studies the end-user programming technology, and designs an end-user oriented visual domain-specific language VUDSL for university Web information systems. VUDSL programming tools are also implemented, to support end-users without the knowledge of software engineering to develop target information systems by visual programming.
Single Machine Group Scheduling Problem with Deteriorating Jobs and Release Dates
Authors: Liu Lu , Xu Yang Tao , Yin Na , Wang Ji Bo
Published: February 2014

The paper deals with a single machine scheduling problem with deteriorating jobs and group technology (GT) assumption. By deteriorating jobs and group technology assumption, we mean that the group setup times and job processing times are both simple linear functions of their starting times. We show that the makespan minimization problem with release dates can be solved in polynomial time.
Micro-Blogging Based Network Growth Model of Semantic Link Network
Authors: Ren Wei , Qiu Yu Hui
Published: February 2014

This paper studies the network model in SLN by applying the methodology of social network to a widely accepted, real-life user interactive network scenario. The data and experiments are based on micro-blogging (Sina Weibo). Results show that the statistic properties of SLN are in close analogy with that of social network. Contrary to our normal understanding, some nodes with too much semantics (especially under one category) are in decreased chances of having links from newly added nodes.
A Simulation-Based Performance Study on Concurrent Multi-Path Transmission over Wireless Broad-Band Network
Authors: Jin Jing Ji , Cui Lin , Cui Xin , Lee Woo Jin , Koh Seok J.
Published: February 2014

The previous studies showed that the concurrent multi-path transmission (CMT) schemes can only play their advantage in the narrow-band networks (the most CMT experiments use 2M bandwidth). In this paper, the authors investigate the performance profits of CMT schemes with various network bandwidths. The simulation results show that the CMT schemes can work better in broad-band networks (e.g., over 20M bandwidth) than in narrow-band networks. This also implies that the CMT schemes have the potential to be applied in the field of multimedia transmission.
Implementation of Laboratory Management System Based on LAMP
Authors: Zhang Zhe Ming
Published: February 2014

Delta laboratory management system was designed for Delta automation laboratory in XMUT. This Laboratory management system was based on LAMP platform which would provide the experiment reservation service and allowed students to upload or download related material. Real time stream video of laboratory was provided by the server of MJPG-streamer for the surveillance.
Employing Generalized Bezier Tube to Smoothly Blending Tubes Whose Axes are Non-Coplanar
Authors: Bai Gen Zhu , Wang Han , Yin Zhao Jie
Published: February 2014

Given two tubes with non-coplanar axes whose sections are circle, we acquire that axes of the tubes can be smoothly blent by Bezier curve. In this situation, the paper proposes a new method to build the blending surface by generalized Bezier tube. Meantime, we obtain smoothly blending parameter surface.
Analysis on Three-Dimensional Virtual Simulation for Rationality of Large-Scale Commercial and Residential Space
Authors: Liu Jing
Published: February 2014

As an emerging industry, large-scale commercial and residential interior rational planning is related to the comfort of living. This paper proposes a virtual simulation method to design and plan large-scale commercial and residential interior space. The paper uses least squares image matching method in virtual reality to construct spatial distance calculation model, calculate the straight-line distance of key parts in large-scale commercial and residential space, and make up the shortcomings in traditional design. The design can be adjusted to the specific circumstances to reduce the cost of the actual design. Finally, simulation is conducted on basis of design data to prove the advantages of virtual reality.
An Analysis on Effective Classification Method for Massive Data in Cloud Computing Environment
Authors: Wang Qian
Published: February 2014

The network information in cloud computing environment is in the format of massive data with high dimension features. In order to increase the accuracy of massive data automatic classification, this paper proposes a relevant massive data classification algorithm. This algorithm first transfers the features of the massive data in the cloud computing environment into one multi-objective optimization problem. In the specific mining area, the algorithm associatively classifies the massive data information and the selective standard is the high accuracy. The simulation and experiment test the performance of the algorithm which shows the algorithm can effectively classify the features of the massive data in the cloud computing. The algorithm can increase the accuracy and efficiency of the automatic classification which is an effective method for massive data.
The Research on Robust Detection Method for Mixed Network Architecture in 4G Networks
Authors: Chen Hui Min
Published: February 2014

Interfered by a variety of emergencies, it is difficult for the parameters in traditional robustness testing model for 4G networks to change adaptively. This paper proposes a quantified robustness detection model associated with fuzzy theory for 4G network. On basis of new measures for robustness of 4G networks, accordance with efficiency of 4G networks and size of connectivity diagram in small areas, the paper computes the associated robustness of nodes in the region and completes robustness tests. Simulation results show that: the topology has important implications on robustness of 4G networks; in different interference environment, this method can preferably express robustness changes in 4G network topology.
Prediction of Impact Damage of Composite Laminates Using a Mixed Damage Model
Authors: Zhao Shi Yang , Xue Pu
Published: February 2014

In order to effectively describe the damage process of composite laminates and reduce the complexity of material model, a mixed damage model based on Linde Criteria and Hashin Criteria is proposed for prediction of impact damage in the study. The mixed damage model can predict baisc failure modes, including fiber fracture, matrix tensile damage, matrix compressive damage. Fiber damage and matrix damage in compression are described based on the progressive damage mechanics; and matrix damage in tension is described based on Continuous Damage Mechanics (CDM). Meanwhile, for interlaminar delamination, damage is described by cohesive model. A finite element model is established to analyze the damage process of composite laminate. A good agreement is got between damage predictions and experimental results.
Algorithm Study on Physical Adaptive Regulation Based on BP Neural Network
Authors: Yuan Zhi Liang
Published: February 2014

As a kind of empirical model, artificial neural network is playing an increasingly important role in the actual theoretical research and practical development. On the basis of principles, this paper has analyzed the model structure of artificial neural network and its related properties, and has made further analysis of the network structure of BP algorithm and its detailed derivation process. Based on this, the paper has made a comparative analysis on the improvement of the three algorithms, and has applied the method for self-regulation learning rate into the empirical analysis of the effectiveness of athletes physical strength by combining with the realities. Finally, the results show that the method has got the obvious effect, and can provide theoretical and technical support, to a certain extent, for the research of the related fields.
Task Optimization Scheduling Algorithm in Embedded System Based on Internet of Things
Authors: Wu Dian Hong
Published: February 2014

Embedded system has been widely used in the network, server, etc., and it has a good application prospect with the development of Internet of things. In the embedded heterogeneous computing system, task scheduling is the key to deciding the system performance. For multi-task scheduling, the current scheduling algorithm is mostly based on task duplication, without a full consideration of the correlation between the predecessor task and its subsequent tasks. Based on modeling the multi-frame task scheduling problem in the heterogeneous embedded system, this paper analyzes the availability of tasks through the design of genetic algorithm, so as to verify the algorithm's feasibility, which is of important guiding significance for the multi-task scheduling in the embedded heterogeneous computing system.
A Simple Opinion Dynamic Model with Group Culture Threshold from Game Theoretic Perspective
Authors: Li Wei , Pan Yi Guang , Li Pei , Wang Hui
Published: February 2014

The increasing development of social networks provides a unique source for analyzing human dynamics in the modern age. In recently years, many models have been introduced to study on that how those microcosmic individuals with different opinions tend to format macroscopic consensus in the opinion interaction. In this paper, we propose a simple model to describe the process of opinion evolving base of the parameter of opinion update threshold. In this model, there have little influence under the different network parameters such as network size, average degree, and value of threshold. At the same time, the initial distribution of opinion and individual refer to the history value can decide the last state of opinion.
Research on Edge-Growing Models Related with Scale-Free Small-World Networks
Authors: Yao Bing , Yao Ming , Chen Xiang En , Liu Xia , Zhang Wan Jia
Published: February 2014

Understanding the topological structure of scale-free networks or small world networks is required and useful for investigation of complex networks. We will build up a class of edge-growing network models and provide an algorithm for finding spanning trees of edge-growing network models in this article.
A Network Model of P2P Extending to Private Network
Authors: Wang Wen Hao , Zhou Miao
Published: February 2014

With the expansion of private network scale, the shared resource is very rich in its internal. How does the P2P network extend to the private network, and conduct good integration of the resources becomes a much valuable research subject. The paper puts forward a new P2P network model, and describes the network organization mode, the cooperation relations between the nodes, and node join and exit algorithm in detail. The model has highly self-organized and scalability in private internal network; it does not need public network nodes involved in.
An Automatic Network Protocol State Machine Inference Method in Protocol Reverse Engineering
Authors: Zhao Li Hua , Liang Xue Jia , Peng Xiang , Kong Hua Feng , Wang Mei Zhen
Published: February 2014

To infer the network protocol state machine is very useful in network security-related contexts, both in research and management. This process follows an extension of the classic Angluins L* algorithm and has achieved an extended version of some Mealy automata to represent or model a communication protocol. The algorithm has been validated by inferring the protocol state machine from SMTPFTP protocol, and tested offline algorithms for the comparison experiments. The experimental results show that this method can more accurately identify the network protocol state machine and is of the important application value.
Application and Improvement of the Network Simulation Platform
Authors: Yu Yan Hong
Published: February 2014

Network teaching platform for the major of human resource management in colleges was studied with the method of literature review. Firstly, the definition and the composition of network teaching platform were described. Secondly, the advantages of network teaching platform were summarized, which included training the students of human resource management major comprehensively, reducing the barriers of human resource management automation, spreading the HRMIS, etc. Thirdly, some suggestions to the network teaching platform were made. These suggestions could be classified into two aspects: some suggestions are for system itself, the others are for the system users. The aim of this paper is expected to propel forward the application of network teaching platform in colleges.
Research on Adaptive Modulation and Coding Technology in LTE-A System
Authors: Wang Dan , Xu Chi Yun
Published: February 2014

In order to further improve the throughput and performance of the LTE system in the LTE-A system,this paper proposes a kind of AMC before the channel equalization in the LTE-A system. The scheme will be the channel matrix rank, channel correlation and channel equalization of SNR together as parameter for MCS, through the CQI-SNR curve to find the channel equalization before the final CQI to complete the feedback.And it solves the problems that the traditional AMC only relies on the SNR, and the SNR accuracy requirements. The theory and simulation results show, this scheme can improve the system throughput and performance.
Optimization of the Metal Finger of a Silicon Concentrator Solar Cell
Authors: Lou Shi Shu , Han Pei De , Liang Peng , Xing Yu Peng , Hu Shao Xu , Zhu Hui Shi
Published: February 2014

The key factors affecting the efficiency of silicon concentrator solar cells with boron implanted emitters were investigated. It is found that, by optimization of the front metal finger, the efficiency of the solar cells can be improved by approximately 10% under 10 suns illumination with the finger spacing of 330 μm.
Research on Modular Construction and Evaluation of the Green Building Technique System
Authors: Bai Guo Hui
Published: February 2014

After surveying and analyzing a lot of green building cases, we put forward green building modular system. According to the system elements which are structure types, building types, building palisade structure system, renewable energy type, renewable energy rate energy saving rate, and capital contribution rate, we divide the system into18 green building modules. And this article pay attention to the system, construction principles, system elements purposes and system composition. we also can use this system to design green buildings with menu type which cannot only reduce the repeat design work, but also help owner learn the property of economy and technology in advance to facilitate and adjustment scheme in time, so that we could reduce the waste of time, money and material. Hence green building modular system is an innovation which is of great importance in green building research.
Electrosprayed Microparticulate Solid Dispersions Composed of Multiple Components
Authors: Qian Wei , Yu Deng Guang , Wang Lu , Li Shuo Lei , Wang Yi Fan , Wu Cheng Long , Wang Xia
Published: February 2014

An electrospraying process was developed for fabricating a new type of microparticulate third generation solid dispersions (SDs) composed of multiple components with ferulic acid (FA) as a model active pharmaceutical ingredient. The spraying fluids were the co-dissolving solutions of FA, polyvinylpyrrolidone K25 (PVP K25) and sodium dodecyl sulfate (SDS) in 95% ethanol aqueous solutions. Field emission scanning electron microscopic observations showed that the microparticles had an average size of 1.47 ± 0.75 μm. Results from the differential scanning calorimetry analyses suggested that FA and SDS were distributed in the polymer matrix in an amorphous status owing to the compatibility among components resulted from the second-order interactions, as verified by attenuated total reflectance Fourier transform infrared spectra. In vitro dissolution tests demonstrated that the microparticulate SDs could release all the contained FA within 1 minute, extremely faster than the raw FA particles. It can be concluded that electrospraying is a useful tool for creating new generation SDs composed of multiple components for enhancing the rapid dissolution of poorly soluble drugs.
Analysis of Slimhole Drilling Technology Application in Shengtuo District
Authors: Hu Gao Qun , Fu Rui , Qin Guang Hui
Published: February 2014

In order to develop marginal oil reservoir and save drilling cost,since 2006 Shengli Oilfield began to do research of slim hole drilling technology. After a summary trial of 13 wells in Shengtuo area, Analysis the existence of technical difficulties and solutions of slimhole. Preliminary formed a set of suitable technology for Shengli oil field, especially the slim hole drilling in Shengtuo area, The average penetration rate reached 18.39m/h, The average drilling period is 10.69d. The experience provides reference to the same kind of wells in shengli oilfield.
Numerical Simulation of Flow Field and Heat Transfer inside a New Enhanced Tube
Authors: Xu Cheng Long , Liu Wei Jun , Hu Wei Ping
Published: February 2014

A numerical simulation was carried out for the flow and heat transfer in the Double-Inclined Streamlined Ribs tube (DISR tube) which is used in the automobile exhaust heat recovery. This paper is aimed to find the optimum ribs parameters for best heat transfer perfomance. The solution was calculated by ANSYS/FLUENT and the SIMPLEC algorithm was used for the velocity-pressure coupling. The results shows that the optimal value of DISR tube is rib length (l=38mm), rib inclined degree (α=45o), rib height (h=2.5mm) and rib pitch (P=60mm). The heat transfer in the DISR tube is enhanced 72.6% on average compared with a plain tube and the friction factor increases 180.9% on average at Re=12000~50000. In the DISR tube, the field synergy angle reduce from 90° to 80° and the heat transfer is enhanced significantly. The paper shows that the field synergy angle declines greatly near every ribs, and this is the chief reason for the heat transfer enhancement.