bluuebunny/crossref_metadata_2025 huggingface dataset:
Applying the Fuzzy Analytical Network Process in Digital Marketing
Authors: Kaltenrieder Patrick , D'Onofrio Sara , Portmann Edy
Published: October 2015

The fuzzy analytical network process (FANP) is introduced as a potential multi-criteria-decision-making (MCDM) method to improve digital marketing management endeavors. Today's information overload makes digital marketing optimization, which is needed to continuously improve one's business, increasingly difficult. The proposed FANP framework is a method for enhancing the interaction between customers and marketers (i.e., involved stakeholders) and thus for reducing the challenges of big data. The presented implementation takes realities' fuzziness into account to manage the constant interaction and continuous development of communication between marketers and customers on the Web. Using this FANP framework, the marketers are able to increasingly meet the varying requirements of their customers. To improve the understanding of the implementation, advanced visualization methods (e.g., wireframes) are used.
Multi-Criteria Decision Making Models for Sustainable and Green Supply Chain Management Based on Fuzzy Approach
Authors: Shaverdi Meysam , Ramezani Iman , Rostamy Ali Asghar Anvary
Published: October 2015

Understanding different aspects of sustainability, supply chain management (SCM), and decision making policies and relating them to performance measurement have been increasingly investigated in the last decade. In contrast to traditional SCM, which typically focuses on economic and financial business performance, sustainable SCM (SSCM) is characterized by explicit integration of environmental or social objectives which extend the economic dimension. For evaluating the sustainability of SCM as well as its greenness, we have to consider many and different index and criteria. One of the best tools for assessing the SSCM and GSCM is multicriteria decision making (MCDM) techniques. Many studies have been conducted in this area. Moreover, there are many uncertainty factors which may reduce the accuracy of MCDM result. Actually, Uncertainty is always a worsening factor in any decision support models, and dilutes the planned objectives of such models. For decreasing this uncertainty, fuzzy logic has been combined with MCDM approach. In fact, the main purpose of this chapter is considering the recent studies in area of SSCM and GSCM regarding to applications of fuzzy MCDM techniques. At the end of this chapter, based on out investigations in applications of fuzzy MCDM in SSCM and GSCM and regarding to research gaps, some suggestions for future studies have been proposed.
An Overview
Authors: Khosrow-Pour, D.B.A. Mehdi
Published: October 2015

During the past two decades, the business world has witnessed a technological revolution known today as electronic commerce or ecommerce. This revolution has allowed businesses all over the world to conduct business in ways that were unimaginable two decades ago. Through the use of e-commerce technologies, businesses can share and disseminate information electronically and conduct business online so consumers, regardless of their locations, can obtain goods and services from the businesses. Because of the many opportunities e-commerce technologies offer in today’s competitive marketplace, it is essential for organizations to have e-commerce presence and effectively utilize the Internet to expand their businesses. With this Internet presence, ensuring security of their data and sales experiences is of paramount importance. Through the use of effective e-commerce security tools, business can increase their sales,Guy Fitzgerald is professor of information systems at Brunel University and is head of the Department of Information Systems and Computing. Prior to this he was the cable and wireless professor of business information systems at Birkbeck College, University of London, and before that he was at Templeton College, Oxford University. As well as being an academic, he has also worked in the computer industry with companies such as British Telecom, Mitsubishi, and CACI Inc., International. His research concerns the effective management and development of information systems and he has published widely in these areas. He is probably best known for his work in relation to development techniques and methodologies and is the author of a major text in this area entitled Information Systems Development: Methodologies, Techniques and Tools, now in its fourth edition. He is also well known for his research in the areas of strategy, outsourcing, and executive information systems. His most recent research is concerned with the development of flexible information systems to enhance organizational agility. He is founder and co-editor of the Information Systems Journal (ISJ), an international journal from Blackwell Publishing, and he has been a member of many international Program Committees, including the International Conference on Information Systems (ICIS) and the European Conference on Information Systems (ECIS).
An Improved Parameter Estimation Algorithm Based on FFT for LFM Signal
Authors: Zhou Rong , Liu Ai Jun , Pan Xiao Fei , Gong Chao
Published: October 2015

Parameter estimation is essential to receive a linear frequency modulation (LFM) signal precisely, so in this paper an improved parameter estimation algorithm based on FFT is proposed. Compared to the traditional one-dimension search procedure, the algorithm just needs two FFT steps plus one correlation step only. Without searching process and low computational complexity, the algorithm is easy for project application. The simulations verify feasibility of the algorithm, when SNR is above-3 dB, the algorithm can work well.
Efficient LLR Optimization Based on GMI for LDPC Coded BICM Systems
Authors: Huang Ping , Li Yue Heng , Ju Mei Yan
Published: October 2015

In this paper, A new on-line LLR optimization method based on the generalized mutual information (GMI) maximization is proposed for LDPC coded BICM systems. As the BP decoder is sensitive to imperfect soft demodulator output information, it is necessary to correct the LLRs to provide the reliable information for BP decoder. The proposed method searched the scalar factors to maximize the GMI for each bit channel, and applied them to the demodulator output LLRs. Different from the previous reference, the proposed found the factors by on-line computation with minor complexity. This characteristic makes it is more effective in the real systems where the channel changes rapidly. Numerical and simulation results verify that the proposed method achieves noticeable performance improvement for MIMO-BICM systems with LDPC codes.
Coarse-To-Fine 3D Randomized Hough Transform for Dim Target Detection
Authors: Fan Ling
Published: October 2015

This paper makes some improvements on Roberts representation for straight line in space and proposes a coarse-to-fine three-dimensional (3D) Randomized Hough Transform (RHT) for the detection of dim targets. Using range, bearing and elevation information of the received echoes, 3D RHT can detect constant velocity target in space. In addition, this paper applies a coarse-to-fine strategy to the 3D RHT, which aims to solve both the computational and memory complexity problems. The validity of the coarse-to-fine 3D RHT is verified by simulations. In comparison with the 2D case, which only uses the range-bearing information, the coarse-to-fine 3D RHT has a better practical value in dim target detection.
Simulation on the Track Integration of Radar System and ADS-B
Authors: Liu Hao , Wu Guo Qing , Zhou Li
Published: October 2015

The accuracy of radar measurement is an available data source to ads-b measure. Track fusion can make the aircraft track is more accurate, it is more significance to the accuracy of radar measurement. Through the establishment of ads-b and radar measurement equation, the algorithm is put forward, and verified the simulation and confirmed the feasibility of the algorithm.
The Application of UKF Algorithm for 18650-type Lithium Battery SOH Estimation
Authors: Chen Zhao Ping , Wang Qiu Ting
Published: October 2015

Lithium battery is widely used in recent years. In this paper, an improved battery model combined with the equivalent circuit model and the electrochemical model is established. The main efforts of our study are: Firstly, the Ohmic resistance of the battery model is identified online based on the Unscented Kalman Filtering (UKF) algorithm. Secondly, the estimation model of the State of Health (SOH) for the 18650-type battery is established. Thirdly, an improved battery SOH estimation method based on UKF algorithm is proposed. The experimental results indicate that our new battery model considers the different value of the battery internal resistance on the different working condition, like the different voltage, the different current and the different temperature.
Wireless Communication in the Application of the Intelligent Substation Distributed Test System
Authors: Sun Feng Jie , Zheng Kuo , Fan Jie Qing , Xiang Qian
Published: October 2015

In order to meet the requirements of the operation, maintenance of intelligent substation, asked the test software and test equipment based on network communication platform, should according to the requirements of intelligent station to provide the corresponding test plan and test method, similar to a traditional stand test. In order to realize the computer PC and controller of wireless communication, which makes the system controller position and the testing is convenient and flexible, this paper puts forward the overall design scheme of a WIFI function modules to incorporate WIFI to intelligent substation distributed test system, the results show that the scheme is feasible.
DSP Based Novel High Voltage High Frequency Electric Source with Self-tuning Ability
Authors: Su Hang , Wang Yu Zhe , Wang Huan , Yang Zhen Qiang
Published: October 2015

Design method for a class of novel high voltage high frequency electric source was investigated. This electric source could serve as discharging device for both corona generator and ozone generator. Through self-turning of power angle, the electric source could adjust itself within a certain frequency according to variations of the loads. In this way, the electric source could stay within the state of resonance oscillation so as to maximize discharging efficiency. Using TMS18LF2407A (DSP component produced by TI corporation) as the core device, the electric source guaranteed high working frequency and strong control functions.
Handheld Lighting Circuit Detector Based on Alternating Electric Field
Authors: Wang Feng Juan , Gong Cheng Ying , He Hui
Published: October 2015

To find the point of failure of dark line will tend to make electricians helpless, so the design of handheld lighting circuits detector is necessary. This article discribes the main idea of probes inducing the alternating electric field around electricity cables[1]. The collected signal in system is processed through the amplification, filtering, comparison circuit and STC12C5A08AD. Finally, real-time display grid numbers and testing time on 12864. The system’s functions include position detection, discrimination, position records and others. The system can well distinguish different cable. After testing and certification, system is reliable, stable and with practical value.
A Review of Research of Life Detecting Radar
Authors: Hu Hai Bing , Lin Gao Hua , He Hao , Zhang Yong Ming
Published: October 2015

Public safety emergency rescue can now detect the characteristic signals of a living body (e.g. movement, breathing, heartbeat, etc.). This area of research uses life-detecting radars to identify the bodys type, quantity, direction, distance, gestures, and physiological characteristics. Life-detecting radars (LDRs) emit electromagnetic waves that can pass through walls or other covered media and probe for human life. This technology can be widely applied for search and rescue attempts in fires, landslides, mudslides, earthquakes, and other disasters. It can also be used to monitor personnels location in terrorism or hostage rescue activities, search for wounded soldiers on the battlefield, and lock enemy snipers in urban warfare and other environments.
Intelligent Instrument for Measuring Eutectic and Co-Melting Point of Freeze-Drying Material
Authors: Liu Xue , Huang Chuan Wei , Li Si Wei , Fan Xiao Wei
Published: October 2015

The intelligent instrument for measuring eutectic and co-melting point of freeze-drying material were designed based on resistivity method. Series and parallel joint divide voltage method were designed to increased the measurement rang of impedance. The Relative error of the impedance measuring method was tested. The results show that in the measurement range of 1kΩ~9000kΩ, the relative error of the impedance is less than 8%. Determinant for the eutectic and co-melting point was choosed according to the temperature-impedance curve. Several material were tested, the experiment results show that the instrument can measured the eutectic and co-melting point automatically.
Design and Realization of the Kalman Filter Based on LabVIEW
Authors: Tian Jing , Wang Shao Qian
Published: October 2015

In pipeline leak detection, collected fault signal will inevitably influenced by all kinds of industrial noise, sometimes even the useful signals submerged by the noise, so before data analysis, we shall be carried out in a first filtering processing. According to the theory of virtual instrument, this paper design the Kalman filter in the LabVIEW program module, and the pressure signal the of the test simulation system is collected real-time filtering, to eliminate noise interference and improve signal-to-noise ratio. It also use the signal after being filtered to give an alarm and location of the leakage of oil pipeline. The experimental data shows that Kalman filter is an efficient recursive filter, it can estimate the states of the dynamic system from a series of contains noise measurement. Kalman filter designed can largely improve the alarming reliability and orientation precision of oil pipeline. Applied to the pipeline leakage fault diagnosis, it obtained the expected effect.
Study of Electric Power Grid Based on Improved Data Envelopment Analysis Model
Authors: Wang Qing Ran , Wang Yu Cheng
Published: October 2015

This paper proposes a procedure and method for assessing the operation efficiency of electric power grid. The analysis of factors reflecting the operation situation is inosculated in the overall goals. An incentive regulation model based on the improved data envelopment analysis model is presented.
Study on Improved APF Algorithm for Autonomous Mobile Robot
Authors: Shu Xiao Meng , Jiang Da Ming , Dai Lian
Published: October 2015

In algorithms of obstacle avoidance for autonomous mobile robot, APF algorithm is simple, real-time and smooth, but has some limitations for solving problems. For example, the local minimum point may trap mobile robots before reaching its goal. Even though many improved APF algorithms have been put forward, few articles describe the process in detail to show how these algorithms are applied. Considering above factors, this paper focuses on embodiment of abstract improved theory for APF algorithm by showing some changes with formulas and parameters. The whole work has been done in simulation environment. According to the results this paper draws a conclusion.
Research on High-Quality Dual-Redundancy Aircraft Rudder Servo System Simulation
Authors: Wu Wei
Published: October 2015

In order to improve the reliability of aircraft, a high quality dual-redundancy rudder servo system is designed. Dual-redundancy BLDCM and redundancy strategy are applied. A dual-redundancy BLDCM mathematical model is established. Using matlab/simulink, the simulation of motor is given. The control strategy based on position loop, velocity loop and current balance loop is designed. The simulation of dual-redundancy rudder servo system shows that the system has a good dynamic response and high steady-state accuracy. The performance of the servo system is excellent.
PID Control of Maglev Levitation System Based on Disturbance Observer
Authors: Guo Zhao Yu , Li Jie
Published: October 2015

The maglev suspension system is a typical nonlinear hysteretic system, which has characteristics of essential unstability, nonlinearity and parametric uncertainty. In this paper, a disturbance observer is designed on the basis of conventional PID control model of maglev system. Simulation results denote that: this control method has more advantages in anti-disturbance ability, response speed, stability, robustness, dynamic and static performances compared with the conventional PID control.
Multi-Robot Formation Control Based on the Artificial Potential Field Method
Authors: Gao Xi Na , Wu Li Juan
Published: October 2015

The artificial potential field method is one of multi-robot formation control methods. In this paper we make a study on multi-robot formation control based on the artificial potential field method and the leader-follower method. The robots are set leader robot and follower robots respectively. According to the known ideal distance between the leader and follower, we adjust the repulsiveness or attractiveness to maintain multi-robot formation. Multi-robots obstacle avoidance is adopted the artificial potential field method. In this paper the triangle formation is taken as an example. At last the simulation result proves the validity of this algorithm.
Research on Control Model for Spare Parts Inventory Based on the Optimal Replenishment Cycle
Authors: Gao Jin Dong , Zhang Yong , Zhou Fang Jun , Mao Hong Long
Published: October 2015

Control model for spare parts inventory is established based on the optimal replenishment cycle. The replenishment cycle impact on the spare parts inventory control is analyzed as well as the demand forecasting. First, the optimal replenishment cycle is given by using the method of the lowest cost of inventory. Then according to the demand characteristic of the spare parts, the safety stock can be calculated. Finally on the basis of the demand forecasting, the calculation method of spare parts replenishment quantity is given. A numerical example is presented to verify the validity and practicability of the model.
A Novel Design Method of Questionnaire
Authors: Tan Jun , Zhao Hai Ming
Published: October 2015

Customer demand is the driving force behind the development of enterprises. It is the core of mass customization production mode that access to customer demand information, analysis and management. Questionnaire is an important way to get customer demand. This paper presents a design of closed-end questionnaire about electric bicycle which has two characteristics: (1) highlighted the access to subject features of customer. (2)The numerical answers will be processed using fuzzy logic.
The Analysis of Resistances that Hamper the Use of BIM in China
Authors: Liu Hua , Zhao Jian
Published: October 2015

Nowadays, Building Information Modeling (BIM) is world used in the construction industry, especially in those developing countries in the North America and Europe. In China, only some big design institutes are or have been applying this technology. This paper concretely the situation and barrier of using BIM in China, expounds its application prospect in China based on the relationship between BIM technology and the related parties.
Design of a Greenhouse Visualization System Based on Cloud Computing and Android System
Authors: Xu Li Hong , Yang Lu Lin , Wei Rui Hua
Published: October 2015

This visualization system aimed at collecting and storing environmental data and crops growing data so as to establish the relationship between environmental data and crop growth data.In order to solve the problem of big data storage,this paper put forward a new system architecture “Data collect+Cloud+Android”,which took advantage of cloud platform to store greenhouse environmental data and crops growth 3D data.Greenhouse environmental data was automatically uploaded to cloud platform and Android smart phone exchanged data with cloud platform.The greenhouse visualization system included:3D visualization of parameters in greenhouse,3D crop model,traceability system and video in greenhouse.During the test,the system runs smoothly and no data packet loss.
The Dynamic Programming Model for Investment Decision of Enterprise
Authors: Gong Jun Quan , Qin Xiao Hong
Published: October 2015

Enterprise often face to limit financial resources but also have to consider how to invest effectively on a number of projects in the various factors of the risks and benefits in different periods. In order to assure the optimal investment results of capital investment, this paper has established dynamic programming model which is multi-dimensional and multi-objective and fuzzy optimization, dynamic programming and genetic algorithm is combination to solve investment decision of enterprise. At last, this paper through an example to verify the validity of dynamic programming model.
Study on the Method of Manufacturing and Marketing Integration for Iron and Steel Enterprises in the ERP Environment
Authors: Wang Hai Feng , Du Jing Hong
Published: October 2015

There are many defects in the traditional manufacturing and marketing mode of steel business such as poor connection and planning between manufacturing and marketing and imperfect quality management system. Based on an information system reformation project in a Iron and Steel Group Co, Ltd, system framework of manufacturing and marketing integration for iron and steel enterprise and its implementation points are presented and discussed in this paper.
Research on Group Management Based on Maturity Model
Authors: Wang Cheng Jun , Xian Yun Peng
Published: October 2015

Based on the research of maturity model, through the analysis of the system, establishes the enterprise group management maturity model, which including standard of group control maturity level, index system and comprehensive evaluation index. Objectively and quantitatively reflect the level of enterprise management, and help to find the weak link of enterprise group control, so as to formulate corresponding measures for improvement.
Research on Retrieval System for Soil Taxonomy
Authors: Zhan Yang
Published: October 2015

Automatic classification retrieval for soil types has become a hot spot in the study of soil science and related fields in recent years. But almost all the studies ignored that the retrieval rules need to made revision continuously. When the retrieval rules have changed, we had to rewrite the reasoning code. It hinders the popularization and application of automatic soil classification retrieval system. This paper attempts to utilize the rule engine technique to solve the problem mentioned above. According to "Keys to Chinese Soil Taxonomy", the rule based on the form of RuleML was established, which can be modified and expanded easily. Finally, the automatic retrieval system for Soil Taxonomy is implemented with NxBRE.
The Research on Key Technologies of IOT in Agriculture Based on Semantic SOA
Authors: Zhao Zhen
Published: October 2015

Agricultural IOT is needed to regulate and improve the crops growth conditions, to monitor some of soil environmental factors. This article designs the agriculture IOT framework based on semantic SOA, proposes to use semantic SOA techniques to increase the discovery efficiency of service of agricultural IOT. It also introduces some related key technologies in semantic annotation of Web Service and the semantic issuing of annotation results using the SAWSDL standards. This system framework support remote real-time monitoring of the field data of agricultural production, and the efficient, accurate service discovery and service invoking.
Research on Knowledge Service Oriented Expert Management System
Authors: Wu Su Yan , Li Wen Bo
Published: October 2015

The distinctive characteristics of knowledge service oriented expert management system needs to have instant, on-demand service, accurate service, comprehensive services, and personalized service. In order to meet the requirements of the establishment of this system, this paper studied the construction of expert resources and expert retrieval services , and The crowdsourcing technology-based open expert body build, experts of different heterogeneous data sources access to information based expert body interaction semantics expert retrieval method
Design and Realization of Instant Computing Electric Cost System for Various Pricing Mechanism
Authors: Yang Li Fang , Xie Ying Xin , Li Xiao Zhen , Wang Feng Yu
Published: October 2015

Directing at the question computing electric cost was unable to be unified in the power marketing business, the design and realization technology of computing electric cost under a complex measurement method is discussed, with formula and parameter. Then the designing idea and realizing method of the system for various pricing mechanisms are stated, and successfully settles the core question of marketing business system.
The Study of User Model of Personalized Recommendation System Based on Linked Course Data
Authors: Wu Ji Yan , Wu Chan Le
Published: October 2015

The massive information on Internet makes users obtain information become in efficient.Similarly,the users in the field of e-learning face with the problems that learning resources are inefficient and learning paths unreasonable,etc .Linked Courses data is a standard of W3C proposed will be organized the courses in the national excellent courses into a linked data database. On the basis the author design a user model to meet the user's learning requirements, which will be the most suitable learning Resources recommended to the user. Finally, the author validate the model with experimental ,the application shows that the model can indicate the user's learning requirements,and rational and efficient learning path is recommended.
Learner Autonomy in Multimedia Communication Environment
Authors: Wang Shu Hua
Published: October 2015

Multimedia and network are said to have provided college English learners with a more effective and facilitative autonomous learning platform. This paper examines the present problems in learner autonomy from the perspective of educational ecology and puts forward suggestions on how to enhance autonomous English learning in the multimedia communication environment on the basis of a small empirical survey.
Construction of Home-School Interactive System Based on Information Polymerization Distributed Technology
Authors: Chen Li Min , Li Xue Fei
Published: October 2015

The current home-school information interconnected system universal exists many problems, such as expensive communication, high-tech request, scattered messages sending and so on, which seriously limit the development of collaborative education, and affect students healthy development. Based on this, the author constructed a free home-school interactive system, which could polymerize information, and free send students personal information in school to parents' mobile phone by using advanced network and communication technology. To a certain extent, it could improve the effect of current home-school communication, and enhance the participation of collaborative education, as a result of promoting students healthy development.
DMEDD-SCCS: The DMEDD (Designated Message Encryption for Designated Decryptor) Protocol for SCCS (Secure Cloud Commerce System)
Authors: Park Hyun A. , Kim Hyung Seok , Kim Jee In
Published: October 2015

In a real e-commerce environment such as amazon.com with complex collaborative works, we construct DMEDD(Designated Message Encryption for Designated Decryptor) Protocol for SCCS(secure cloud commerce system) based on the previous fundamental schemes. The DMEDD-SCCS forbids a server to read others’ messages when transmitting and sharing personal data with many other sites. Accordingly, our protocol makes it possible to achieve data protection and FIPs(fair nformation practices)
Multipath Routing
Authors: Liu Jun Jian , Jiang Jiu Lei , Zhang Jiao
Published: October 2015

Multipath routing can be effectively used for maximum utilization of network resources. It gives the node a choice of next hops for the same destination. We present two tree based algorithms, which we call MSPT and MBFT that can help a node to find multiple next hops for a destination. Both of them are distributed algorithm, allowing the traffic to switch off the shortest path and fully exploiting the path diversity of the network. MSPT has lower cost, while MBFT has less hops between the source and destination, end system can select next hop according to the application requirements. The simulation show that our algorithms can find more selectable next hops and have good reliability and fast recovery performance. In the process of simulation, we discovery that MSPT and MBFT have more disjoint paths, therefore we provide an Algorithm 2 to combine the MSPT and MBFT, the performance of Algorithm 2 is obviously superior than independently employs
Using Context to Discern User Tasks on Desktop
Authors: Lv Ning , Zhou Jing Li , Qin Lei Hua
Published: October 2015

The precise context of user tasks helps to ameliorate personal information management on desktop. This paper introduces a novel approach to discern user tasks using contextual information which is divided into two categories, user behavior based context and text based context. With the contextual information, user tasks are discerned by support vector machine (SVM) method. Experimental results showed the impact of distinct attributes of files on the performance of user task identification.
Software Status Identification Based on Message Authentication Technology
Authors: Chen Ce , Jiang Xiao Hui , Hu Yong , Guo Jiu Wu
Published: October 2015

The software status identification with a message authentication code generated by means of the hash function method that falls within the message authentication technology is discussed in this document. In comparison with the software status management with a software version number that is used widely at present, the message authentication code is highly correlated with the software content to prevent failure of the software status management due to artificial negligence and provide an effective technique for software status management.
Implementing Trustworthy Service Flow Based on Improved HQPSO Algorithm
Authors: Liu Yang
Published: October 2015

Service-oriented Architecture (SOA) is the new paradigm for software development, the key point of which is the trustworthiness of the service and the service flow. The construction problem of trustworthy service flow can be formalized as the constrained optimization problem, and which is solved by hybrid quantum-behaved particle swarm optimization algorithm with the good results. By reason of the existence of implicit parallelism of hybrid quantum-behaved particle swarm optimization algorithm itself, an improved hybrid quantum-behaved particle swarm optimization algorithm with parallelization is proposed in the paper, and which is used to solving the construction problem of trustworthy service flow. The experimental data show that the improved hybrid quantum-behaved particle swarm optimization algorithm with parallelization can receive the better result in solving the construction problem of trustworthy service flow, compared with the hybrid quantum-behaved particle swarm optimization algorithm.
EDI in E-Commerce Application and Safety Measures
Authors: Dan Liu
Published: October 2015

The science and technology, information industry, the development of sudden flight, so that means of transaction in international trade and method of the emergence of new forms, a variety of commercial institutions to establish electronic communications between the handling of the relationship between business activities and speed up the supply-side processing speed. This paper describes the application of EDI in electronic commerce, analysis of the open-EDI solutions to security problems discussed EDI applications and security of legal protection.
3D Video Transmission System for China Mobile Multimedia Broadcasting
Authors: Yan Ming , Wang Xin Gang , Li Jun Feng
Published: October 2015

With the popularization of three dimensional (3D) video on TV, some related aspects, such as broadcast television network transmission, technology application, and content products and so on, will face the challenges of the new technology. Rapid progress has been achieved in the China Mobile Multimedia Broadcasting (CMMB) technology, 3D TV technology applied in the mobile TV will become the bright spot in the future. This paper firstly introduces the transmission modes of 3D TV, and then gives the technology solution of 3D TV and the upgrade solution of electronic service guide Electronic Service Guide (ESG) based on CMMB. Test result shows that the new system with 3D video can work correctly when the 3D video was encoded with H.264 standard and the image resolution was conformed to the standard definition (320x240).
Research and Implementation of Intelligent Traditional Chinese Headdress System in Computer Animation
Authors: Tang Jun , Meng Yan
Published: October 2015

Traditional Chinese headdress is an important part of the traditional Chinese culture, which provides rich material for computer animation. The creation process of traditional Chinese headdress model in computer animation is complex working and time-consuming. This study establishes the traditional Chinese headdresses database, which covers from Tang Dynasty to Qing Dynasty. According to the characteristics of the traditional Chinese headdress, this study develops an intelligent Traditional Chinese Headdress system by MEL, which can import models into the scene and change attributes related with models efficiently. The system is the combination among computer technology, animation art and traditional Chinese culture. It will improve the efficiency and quality in the computer animation creation.
Implementation of Smart Home Terminal Based on OpenWrt
Authors: Xie Feng , Wu Ming Hou , Zhang Zhen Rong , Ge Zhi Hui
Published: October 2015

With the advances in technology and the quality of life, the family of the growing number and variety of terminals, a demand that automatic networking, shared resources, interconnected and mutual control and for users of home network is growing. This paper aims to design and implement an intelligent terminal with OpenWrt system based on Linux. The terminal is a gateway which has router management control functions, and load and run the compiled modules based on OpenWrt SDK in OpenWrt routing system. The intelligent terminal has completed a preliminary functional tests can be run in real network environments. The terminal will do as a prototype for future improvements and extensions of the home gateway.
Research of Television Boot-Strap Information Delivery Based on User Profiles
Authors: Qin Yao , Yin Fu Lian , Chai Jian Ping
Published: October 2015

Existing digital television information delivery system delivers information indiscriminately and lacking direction. Information delivery accuracy is too low to reach the desired results, and can lead to other problems like such as information overload. We consequently proposed the boot-strap information delivery model based on user profiles to provide an important basis for digital TV information delivery. This paper firstly describes the background of digital television information delivery. Then details information deliverys algorithms and models based on user profiles analysis and information delivery analysis. Our research solved the problem that people cannot deliver the information to clients efficiently and accurately, and also avoided wasting information network bandwidth.
A User Preferences Modeling for Intellegent Dissemination of Remote Sensing Image
Authors: Zhou Chun Hui , Luo Gou Jun , Chen Di , Xia Yu , Huang Li Wen
Published: October 2015

In order to achieve the intelligent dissemination of remote sensing image, the primary task is to establish a suitable user profile. In this paper, we proposed a novel approach of modeling user demand preferences, and took into account the multiple interests and the time factors. And we presented some computing methods of feature preference including time, space, image parameters, etc. At last, the simulation example shows the feasibility and effectiveness of the designed user demand preference model.
An Affine SIFT Matching Algorithm Based on Local Patch Shape Estimation
Authors: Zhu Zun Shang , Zhang Yue Qiang , Zhou Xiang , Shang Yang
Published: October 2015

In this paper we present an affine SIFT matching method to achieve reliable correspondence points in stereo matching with large viewpoint changes. We extended the affine invariant of the conventional SIFT approach by estimating the shape of the local patch around the interest point. Since we can obtain the scale information by SIFT detector, a second moment matrix (SMM) descriptor was employed to describe the shape. Furthermore, by comparing the shapes of the potential matches, we can normalize the template of SIFT descriptor and obtain the initial affine transformation. At last, we applied the iterative based method to achieve a fine registration with the estimated initial transformation parameters. The experiment results show that the proposed method is more robust to viewpoint changes and the accuracy of registration is better than feature based methods.
Analysis of Gaussian-Hermite Moment Invariants on Image Geometric Transformation
Authors: Zhang Chao Xin , Xi Ping
Published: October 2015

Gaussian-Hermite moments and their invariants have been widely used in image processing and pattern recognition. The moments are strictly invariant for the continuous function. However, the digital images are discrete. The image function and the moment imvariants may change during image geometric transformation. To address this problem, an analysis with respect to the fluctuation of moment invariants on image geometric transformation is presented. The guidance is provided as well to minimizing the fluctuation of the Gaussian-Hermite moments.
Fisheye Lens Distortion Calibration Based on the Lens Charactetic Curves
Authors: Zhang Bao Long , Zhang Shao Jing , Ding Wei Qi , Shi Hui Shuang
Published: October 2015

The fisheye lens is a kind of ultra wide angle lens, which can produce a big super-wide-angle lens distortion. In order to cover a large scope of light, barrel distortion is artificially added to the optical system. However, in some cases this distortion is not allowed, then it requires calibrations of those distortions. Most of the traditional distortion calibration method uses target plane calibration to do it. This paper discusses the way of design fisheye lens, through which we can know the forming process of distortion clearly. Based on this paper, a simple and effective calibration method can be understood. Different from common camera calibration method, the proposed calibration method can avoid the error occurring in the process of calibrating test, that directly use the lens’ characteristic curve. Through multiple sets of experimental verifications, this method is effective and feasible.
Binocular Stereo Matching Method Based on Parallax Waveform Analysis and Conjoint Measurement of Saliency Map
Authors: Han Jing , Zhao Zhuang , Yue Jiang , Zhang Yi , Bai Lian Fa
Published: October 2015

In this paper, we propose a coarse-fine matching algorithm based on parallax waveform analysis and conjoint measurement, which aims at performing the binocular stereo matching in natural scene. For the reason that human only notices the most saliency parts in image, we first extract the saliency areas of the two images, which suppresses the interference of background and reduces the computation cost. According to the saliency map, a global algorithm based on parallax waveform analysis is proposed to achieve the best coarse matching. On this basis, the fine matching is completed by analyzing the local features with the conjoint measurement of SAD and SSIM, which further improves the accuracy in binocular stereo matching. The performance of our algorithm is well demonstrated by experiments.
Evaluation and Comparison of Thresholding Segmentation Techniques
Authors: Dong Yu Bing , Li Ming Jing , Cheng Guang Liang
Published: October 2015

Threshold technique is one of the important techniques in image segmentation. Various thresholding segmentation techniques such as histogram, grayscale expectations, Otsu, maximum entropy and iterative are studied and compared by using Matlab 7.0. Experimental results show that the iterative method can perform well and get a better result than the other thresholding segmentation methods.
Head Pose Estimation via Direction-Sensitive Feature and Random Regression Forests
Authors: Liu Jian Ming , Zeng Ji Guo
Published: October 2015

Estimating the head pose is still a unique challenge for computer vision system. Previous methods at solving this problem have often proposed solutions formulated in a classification setting. In this paper, we formulate pose estimation as a regression problem to achieve robustness. We propose to use gradient orientation histograms based random regression forests for the task. Firstly, each sample image is divided into overlapped patches, and direction-sensitive features of patches are extracted. Then we train a random regression forest on these patches. Experiments are carried out on public available database, and the result shows that the proposed algorithm outperforms some other approaches in both accuracy and computational efficiency.
A Data Parallel Implementation Scheme of Geometric Operations
Authors: Wang Guang
Published: October 2015

A data parallel implementation of geometric operations is proposed and conclusions are proved. It shows that the computation complexity of data parallel implementation scheme presented in this paper is Ο(M+N). It can be used to improve the efficiency of geometric operations and can easily meet the real time requirements of the digital image processing.
A Clustering Algorithm Based on Gravitation
Authors: Ning Yong Heng , Yang Xiao Bing , Wang Kang Jian
Published: October 2015

For the clustering problem of wide difference that cannot be solved by K-means, an improvement clustering algorithm (CBG, clustering based on gravitation) is proposed in this paper. The clustering algorithm simulates the law of universal gravitation, which is that stars with heavy mass tend to show a stronger attraction to floating objects than those with less mass. Some experiments have done in this paper for this problem, and the results show that this algorithm can obtain better clustering result for this case.
Trend Analysis of Product Function Using Sequential Pattern Mining
Authors: Yu Li , Zhang Zai Fang
Published: October 2015

During the early stage of product design, it is important for design engineers to decide the most appropriate functions for various customers. To facilitate this time consuming task, sequential pattern mining is applied to uncover the useful patterns in historical database. The mined sequential patterns can reflect the dynamic change of product functions, which can help design engineers find the most suitable product functions for customers. Based on the historical sales transactions of computer, a case study is conducted to illustrate the proposed method.
Acoustic Articulatory of Uyghur Phonetics
Authors: Shadike Muhetaer , Wasili Buheliqiguli
Published: October 2015

In this paper, we thus turn to articulatory of Uyghur phonetics, the study of how phone are produced as the various organs in the mouth, throat, and nose modify the airflow from the lungs. And beside that we use a Bayesian approach based on multivariate Gaussian distribution to analyses of the acoustic articulatory of Uyghur phonemes.
Approaches of Ontological Concept Mapping Based on Multi-Strategy
Authors: Li Rong , Liu Lei
Published: October 2015

Aiming at solving ontology heterogeneity, in this paper, we propose approaches of ontological concept mapping based on multi-strategy. At first, we use strategies based on concept name, property and taxonomy to calculate similarity. Then mapping results of multi-strategy are obtained. Finally, we present experimental results with high accuracy and point out future research directions.
Effect of Delay on the Synchronization of Weakly Coupled Neurons via Inhibitory Chemical Synapses
Authors: Li Rui Xue , Che Yan Qiu , Hao Ping , Li Xiao Qin
Published: October 2015

Inhibitory chemical coupling connections are ubiquitous in neuronal system. In this paper, we first reduce the complex neuronal dynamics to a simple phase model by means of phase-model reduction method. Then we examine the roles of time delays extensively on the synchronization properties by bifurcation analysis and numerical simulation. Finally, we identify the existence and the stability of various phase-locked states. Along with the expected phase and anti-phase synchronization regimes, we find the emergent phenomena that significantly influence the synchronization behavior.
An Enhanced Fuzzy Information Retrieval Model Based on Linguistics
Authors: Al-Arab Zeinab E. , Gadallah Ahmed M. , Hefny Hesham M.
Published: October 2015

The paper proposes a linguistic based fuzzy ontology information retrieval model. The model deals with linguistic based queries in multi domains. Such linguistics are user defined, reflecting his subjective view. The model also proposes a ranking algorithm that ranks the set of relevant documents according to some criteria such as their relevance degree, confidence degree, and updating degree.
The Properties Related to the Moment Generating Function of the Fuzzy Variable
Authors: Ma Sheng
Published: October 2015

In the paper, some properties related to the moment generating function of a fuzzy variable are discussed based on uncertainty theory. And we obtain the result that the convergence of moment generating functions to an moment generating function implies convergence of credibility distribution functions. Thats, the moment generating function characterizes a credibility distribution.
Construct and Analyze K-Hash Function Based on Chaotic Dynamic S-Boxes
Authors: Wei Yu Xuan , Wei Peng Cheng , Wen Huai , Liu Shun Yong
Published: October 2015

By combining the traditional iteration structure of Hash function with the dynamic S-boxes, a novel keyed Hash function is presented. The proposed approach can give a chaotic Hash value by means of the lookup table of functions and chaotic dynamic S-box. Compared with the existing chaotic Hash functions, this method improves computational performance of Hash system by using the chaotic S-box substitution. Theoretical and experimental results show that the proposed method has not only strong one way property, sensitivity to initial conditions and chaotic system’s parameters, but also high speed.
MGF-Based Effective Capacity for Generalized Fading Channels
Authors: Ji Zhe , Wang You Zheng , Lu Jian Hua
Published: October 2015

In this paper, we study the effective capacity (EC) which was proposed to measure the quality of service (QoS) for fading channels. A unified expression for the effective capacity based on the method of moment generating function (MGF) is proposed. The unified expression applies to various fading channels and is derived for both single antenna and multiple antenna diversity system. The mathematical expression is illustrated with Nakagami-m fading channels and closed form expressions are derived in this case. The simulation results verify the consistence of the closed-form expressions with numerical evaluations.