bluuebunny/crossref_metadata_2025 huggingface dataset:
CloudDICOM: A Large-Scale Online Storage and Sharing System for DICOM Images
Authors: Liu Li Jun , Huang Qing Song
Published: September 2013

Online storage and sharing for large-scale DICOM images becomes increasingly important for medical organizations or large hospitals. This paper presents a distributed architecture based on Hadoop and HBase to support online storage and sharing for DICOM images. An experimental system called CloudDICOM is designed and realized based on this architecture. The paper focuses on designing the architecture, workflow, data schema, and then on analyzing the components in CloudDICOM. Firstly, DICOM messages sent by clients will be received, converted and stored into Hadoop and HBase. Then, these messages will be indexed and generated query and WADO index database. The components of DICOM query and WADO based on this index are implemented to provide online DICOM query and WADO service for clients. The test results demonstrate that CloudDICOM can provide online storage and sharing service for large-scale medical images, and support standard DICOM Query and WADO service.
Data Analysis and Suggestions of Supply and Marketing Cooperatives Industry in the Agricultural and Sideline Products Deep Management
Authors: Cao Sen
Published: September 2013

China's supply and marketing cooperatives play an important role in the depth of management for the agriculture, rural areas and farmers service and agricultural and sideline products. This paper analyzes the plight of this industry to participate in agricultural and sideline products business and the problems of enterprises in operating management and financial management, and finally puts forward suggestions and countermeasures from six aspects.
On the Information Sharing Model for Supply Chain Based on Stackelberg Game Theory
Authors: Li Zhen , Li Yan
Published: September 2013

This paper, focusing on the two-level supply chain with one supplier and one retailer, tries to set up a supply chain information sharing model with characteristics of the Stackelberg game to analyze whether the retailer and the supplier share the supply chain information. Meanwhile, it deals with the designation of the coordination mechanisms of the supply chain with characteristics of the Stackelberg game, on the basis of the study on the characteristics of the Stackelberg game and the coordination theory of the supply chain.
Design and Implementation of Intelligent Web Platform for Massive DataBase
Authors: Luo Ya Ling
Published: September 2013

The author, according to the characteristics of the independent evaluation of resource development systems to explore Visual Studio.Net environment, asp.net, CSS, JavaScript, and other technologies, to achieve an adaptive intelligent Web platform, this platform framework is designed to be simple, automatically generate content based on the mass of related courses exam; greatly reducing the workload of the system development process. And eventually applied to actual project development, and achieved good results.
Kalman/Particle Filter for Integrated Navigation System
Authors: Jiao Zhun , Zhang Rong
Published: September 2013

Particle filter is introduced. Since the particle filter would bring hard computation, a new Kalman/Particle mixed filter used on SINS/GPS integrated navigation system was proposed. The new method divides the system into two sub-models, one is linear, the other one is nonlinear, and then implement Kalman filter and particle filter separately. The simulation results show that their performance is almost equal, but the computation complexity of the Kalman/particle filter is much lower than traditional particle filter.
Research of Unified Authentication System Based on LDAP
Authors: Ming Jing Wei
Published: September 2013

With the development of Internet technology, the increasing of the application service makes the enterprise network management and security more and more complex. Based on it, the enterprise portal needs a system with high performance for identity authentication management. In this, implements the research of unified identify authentication system through LDAP, designs a rational structure of the directory tree. Thus, All the application servers use the user information in the same directory. By the manner, the problem of disagreement and larger maintenance burden can be solved and the system security can be improved.
A Design for Water Surface Communication System of Ultra Short Base Line Positioning System
Authors: Qiu Fu Peng , Wan Hong Jie , Wang Xue Wei
Published: September 2013

In order to satisfy the requirement of the underwater acoustic positioning system for offshore oil exploration, a design idea for water surface communication system of ultra short base line (USBL) positioning system. The main function of this design is to achieve high-quality communication with underwater acoustic responders. The hardware adopted JZ4760 and the FPGA of altera as the cores. Gold sequence direct sequence spread-spectrum was used on communication system, while modulation was PSK. An appropriate spread-spectrum synchronization mode was presented for the system. MATLAB-based simulation and experiments show that the system is working reliably.
Architecture and Modeling for Virtual Test Bed
Authors: Chen Yong , Lin Qi
Published: September 2013

Study of Virtual Test Bed theory is the prerequisite for further research and application. Contributions to its technology and implementation come from many directions and from many projects. The purposes and significance of Virtual Test Bed are described. The goals are analyzed. The conceptual architecture with generic relationships as the primary rack of Virtual Test Bed is build based on the hierarchical relationship between the concepts in simulation field, and the framework is proposed which lays the foundation for simulation system development based on Virtual Test Bed.
Research on the Third-Order Software Phase Locked Loop for Carrier Tracking
Authors: Zhang Lan Ying , Liu Hai Yang , Du Hong Yin
Published: September 2013

The mathematic model of third-order software phase locked loop formed by three-parameter loop filter is analyzed and designed. Then, in order to solve the problem of redundancy frequency analysis bandwidth when carrier tracking, a variable data ratio software phase locked loop is studied. Finally, the method is simulated and analyzed. The simulation results demonstrate that the software phase locked loop with variable data ratio can effectively reduce the operation capacity and improve the management efficiency of the software phase locked loop.
Design and Realization of Simulation Environment of Embedded Software and Hardware Intergration Based on GEF
Authors: Geng Bo , Cao Qing Hua
Published: September 2013

Embedded software and hardware integration simulation platform is developed for simulating the embedded systems design process in current engineering system, which can facilitate finding various problems in system design process. For example, in the system scheme phase, the scheme and design verification are untimely and inadequate. In the early prototype phase, software development lags behind result in deferral of the overall progress of the system. And in the late prototype stage, the problem is lacking configuration item test environment. Embedded software and hardware integration simulation platform can provide verification of hardware and software integration and test development environment. Therefore, the quality of software development in embedded systems can be significantly improved and development cycle can be remarkably shortened by using this simulation platform.
A New Energy-Efficient On-Demand Routing Protocol for Green Wireless Mesh Networks
Authors: Yu Yin Peng , Peng Yu Huai , Guo Lei , Song Meng
Published: September 2013

In order to solve the green energy saving problem with the wireless routing technology, a new energy-efficient survivable routing protocol, called Energy-efficient Survivable AODV (ES-AODV) for unicast demand in green Wireless Mesh Networks (WMNs), is proposed in this paper. The routing protocol uses the hop penalty strategy and flooding delaying strategy to improve the performances of traditional AODV routing protocol. This paper uses QualNet to simulate and verify the performances of proposed ES-AODV. The simulation results show that, compared with the traditional AODV, the energy utilization of ES-AODV is more efficient than AODV by 13%. At the same time, ES-AODV is more load-balancing to reduce the number of energy depletion nodes and postpone the appearance of the first energy depletion node, and thus it effectively improves the network survivability.
An Efficient Sleeping Scheduling for Save Energy Consumption in Wireless Sensor Networks
Authors: Jia Shu Guang , Lu Li Peng , Su Ling Dong , Xing Gui Lan , Zhai Ming Yue
Published: September 2013

Smart grid has become one hot topic at home and abroad in recent years. Wireless Sensor Networks (WSNs) has applied to lots of fields of smart grid, such as monitoring and controlling. We should ensure that there are enough active sensors to satisfy the service request. But, the sensor nodes have limited battery energy, so, how to reduce energy consumption in WSNs is a key challenging. Based on this problem, we propose a sleeping scheduling model. In this model, firstly, the sensor nodes round robin is used to let as little as possible active nodes while all the targets in the power grid are monitored; Secondly, for removing the redundant active nodes, the sensor nodes round robin is further optimized. Simulation result indicates that this sleep mechanism can save the energy consumption of every sensor node.
Research and Application of Rule Engine in Scheduled Outage Management
Authors: Wu Bo , Guo Zhi Min
Published: September 2013

With the rapid development of economy, the requirement for electricity supply is growing dramatically, and the consumers are claiming for higher power supply quality with less outage. Scheduled outage makes a major part of power outage, and it is mainly caused by power grid construction and power equipment maintenance. Scheduled outage has a lot of concerns, such as grid structure, potential outage loss, critical consumers or important occasions, and such factors are changing rapidly with the quick development of distribution network. As a result, the validation and optimization of scheduled outage becomes complicated. Rule engine [1] can describe business rules by pre-defined language, separate such rules from functional code [2], and execute them when trigger condition is satisfied. The application of rule engine can increase system adaptability to business variation, and decrease the system coupling and maintenance cost. With the application of rule engine in scheduled outage management, outage plan can be effectively validated and flexibly optimized, and the outage loss and consumer complaints could be significantly decreased.
The Optimized Design of the Welding Gripper for the Body Pre-Assembly
Authors: Liu Lei , Qiu Dong Rong , Lin Ju Guang
Published: September 2013

In order to improve the efficiency of welding, the automotive body pre-assembly was implemented in an automatic welding line. The author designed a robot welding gripper for the pre-assembly station, and simulated the motion of cylinder on each unit by using the CATIA DMU module to inspect the interferences and optimize the structure. The practical application indicated this robot gripper could make good use of the high-accuracy and the flexibility of robots to handle workpiece accurately and assemble quickly.
A Middleware-Based Network Architecture for the Web of Things
Authors: Sha Jing , Yang Ji
Published: September 2013

Web of Things has been proposed to facilitate the integration and composition of everyday device like sensors and actuators with existing standards and blueprints. However, the existing researches do not address all the problems such as integrating legacy devices with constrained capabilities, managing the resources with dynamic attributes. In addition, considering the large-scale deployment of devices in WoT, the deployment expense is supposed to be controlled. In this paper, we propose a middleware-based network architecture for the web of things. Within the architecture, we deal with the practical challenges in deployment. A SMART HOME system is developed as the implementation to verify and discuss the proposed architecture.
Feasibility Analysis of Lightweight Conversion for Pro/E 3-D Models in Third-Party Formats
Authors: Wang Zhe , Pi Zan , Zhao Bo
Published: September 2013

Based on 3-D model's common formats obj and stp as well as Deep Exploration and Rhino software, this article takes the 1G-scale Pro/E 3-D models as an example, uses third-party format conversion to study and summarize the methods of lightweight conversion of 3-D model. The article has also compared the advantages and disadvantages of four different methods and conducted a feasibility analysis on them, which serves as effective basis for the follow-up work.
Research on Key Technologies in Multi-Robotic Spread Spectrum Communication System
Authors: Zhu Yun Hang , Cai Qiong , Huang Xiu Liang
Published: September 2013

It has become a hot research topic that to improve the coordination performance of multi-robotic system by communication. With rapid development of wireless communication and robot technologies, multi-robotic system based on spread-spectrum technology has become product of combining two technologies. Code Division Multiple Access (CDMA) technology is applied in multi-robotic communication system here. According to the modified m-Walsh sequence got by the way of analyzing the relation characteristic of Walsh-code and m-sequence, the best direct sequence spread spectrum (DSSS) PN code and the improved RAKE receiver scheme are proposed, which satisfied the requirements of real-time performance, reliability and confidentiality in multi-robotic communication system, and have great significance for the research of multi-robotic communication system.
Analysis of Web Attack and Design of Defense System
Authors: Zhu Xiao Jing , Lin Yuan Guai
Published: September 2013

With the growing popularity of Web applications and Web attacks increasing; Web applications protection and data security have become the core focus of the information security system of enterprises and institutions. The paper briefly presents the harm of the common several kinds of Web attacks, and analyzes their principle, gives their defense measures. On this basis, the defense system of both software and hardware design is proposed. It achieves software defense design based on Web software development and Web application management, and hardware defense design based on H3C SecBlade IPS, to effectively guarantee the security of Web applications.
An Intelligent Traffic Lights Schedule Approach Using WSNs
Authors: Zhou Bin Bin , Xu Ping , Chen Lu Yi , Liu Jing Jing , Dai Guo Yong
Published: September 2013

We study the problem of traffic lights scheduling in a dynamic three-dimension intersection. In this paper, an intelligent traffic lights schedule approach is proposed to optimize the traffic lights sequence according to traffic data detected and predicted in real-time, e.g. traffic volume, delays and traffic density. Evaluations have been conducted to compare the performance in terms of traffic throughput, and the result depicts that our intelligent approach can obtain better performance.
Optimization of Spectrum Sensing Period in Cognitive Radio Networks Based on GA
Authors: Liu Yang , Cui Ying , Li Ou
Published: September 2013

In Cognitive Radio Networks (CRN), an important issue associated with MAC-layer sensing is how often the availability of licensed channels should be sensed. To solve this issue in multi-channel environment, we address how to maximize the discovery of spectrum opportunities by setting a set of reasonable sensing-periods. Based on alternating renewal theory we develop an channel-usage pattern estimation method, and derived the states transition matrix by discrete-time Markov process. At last, we proposed an objective function of spectrum sensing efficiency, and solved the multi-objective optimization problem by improved Genetic Algorithms (GA). Our simulation results demonstrate the efficiency of the objective function and the significant performance of the improved GA. The sensing-period vector we derived discovers more than 80 percent of the analytical maximum of discoverable spectrum-opportunities in six-channel environment, which is shown to discover up to 30% more than the method that sensing each channel with the same period.
The Application and Research of Personalized Network Teaching Resources Database Based on Data Mining
Authors: Wang Guang Yu
Published: September 2013

The key of the network teaching system is how to provide appropriate teaching resources and adopt different teaching strategies according to different users. In this paper, data mining is used in network teaching system, and builds a personalized network resources database. According to the information of the user, find the relevant rules and provide the learning resources for each learner to adapt to their needs. The results demonstrate that this proposed approach for improving the level of personalized service in network teaching system is effective.
The Research of Wine Quality Evaluation Based on Multiple Linear Regression
Authors: Liu Huai Hui , Ji Wen Long , Zhang Peng , Yao Chuan Wen
Published: September 2013

Through the establishment of evaluation model based on principal component analysis, select 8 principal components from nearly 30 indexes of wine grape. Then we establish the multiple linear regression model and analyse the association between physicochemical indexes of wine grape and wine, and the influence of physicochemical indexes of wine grape and wine on wine quality. Finally study whether we could use the physicochemical indexes to evaluate the wine quality.
A Number of Issues to Need Focused to Research in Developmental Process of Software Development Method
Authors: Gao Yu , Feng Xiang Zhong
Published: September 2013

In the developmental process of software development methods, there are many issues to need to be studied. In these issues, part of the issues is very important for the development of software development method. Such as: about the applicability of software development method, about the flexibility of software development method, about the reliability of the software development method, therefore, these issues need to be focus of study. The case to enhance applicability, flexibility and reliability of the software development method in the past is studied. The way enhancing applicability, flexibility and reliability of the software development method in the future is studied. In order to enhance the applicability of software development method, two ways be proposed. A way is to research and build some of the software development methods, and their scope of application is broad. Another way is to study and build some of the software development methods, and their scope of application is single. In order to enhance the flexibility of software development method, two ways be proposed. A way is to improve existing traditional software development method. Another way is innovation. In order to enhance the reliability of software development method, three ways be proposed. First way is to improve the existing formal method. Second way is to improve the existing theory of software testing. Third way is to strengthen the construction of the software component library.
Profit and Loss Calculation Model of Data Synchronization Based on Multi-Link
Authors: Yu Xiao
Published: September 2013

This paper puts forward one kind of profit and loss computation model based on the Markov chain for the data synchronization application between data subset and application system on university information platform. The data synchronization Markov model of multi-link is given, computation model based on the profit or loss of the stationary distribution of multi-link is deduced, and whether to upgrade a single link to a multi-link is changed from qualitative interpretation into quantitative calculation.
Sample Size on the Impact of Imbalance Learning
Authors: Zhi Wei Mei , Guo Hua Ping , Fan Ming
Published: September 2013

Classification of imbalanced data sets is widely used in many real life applications. Most state-of-the-art classification methods which assume the data sets are relatively balanced lose their efficiency. The paper discusses the factors which influence the modeling of a capable classifier in identifying rare events, especially for the factor of sample size. Carefully designed experiments using Rotation Forest as base classifier, carried on 3 datasets from UCI Machine Learning Repository based on weak show that, in particular imbalance ratio, increases the size of training set by unsupervised resample the large error rate caused by the imbalanced class distribution decreases. The common classification algorithm can reach good effect.
Maximum Profit Model for Longitudinal Multi-Level Inventory Structure
Authors: Zhou Ya Mei , Wang Zhan Gen , Gao Yong Yan , Zhang Qiang , Shi Meng Zhu , Yu Yang , Li Xue Ying
Published: September 2013

In this research we study the demand characteristics and service sensitivity of solar energy water heater products in the whole life cycle, establish the maximum profit model of multi-level inventory system. Adopt the maximum profit model checking the enterprise actual research instance, analysis the relationship of the customer mean demand changes between the optimal service level or the maximum profit, the results show that the maximum profit model can reflect the relationship of the customer mean demand changes between the maximum profit.
Fuzzy Evaluation Expert System for Undergraduate Comprehensive Quality Based on Agent
Authors: Zhou Chun Hua , Wang Yun Cheng , Chen Chu Xiang
Published: September 2013

Aimed at the actual demand of current evaluation job for undergraduates, based on fuzzy set theory, a new thought to make comprehensive evaluation about undergraduates was raised by combining with Agent technology and artificial intelligence expert system technology in this paper. The mathematical model for evaluation was established via weighted fuzzy evaluation method and weighted fuzzy inference method based on reliability and realized by adopting Java language under Web environment, to gain professional conclusions and suggestions for undergraduate comprehensive evaluation.
The Computer-Aided Teaching Design of Writing a Memoir
Authors: Chen Guo Liang
Published: September 2013

This teaching design is to get students familiar with a new genre--- memoir, and learn to write a memoir. Students will be able to identify the characteristics of a memoir, analyze the structure of a memoir, finish the joint construction of a memoir and construct a memoir independently.
The Computer-Aided College English Vocabulary Learning and Instruction
Authors: Zou Xing
Published: September 2013

Given the importance of vocabulary learning in the college, this paper focused on the advantages and dimensions of college English vocabulary learning and instruction in a computer-aided environment and put forward some suggestions on effective learning and instruction with the aim to increase students' motivation and improve students' autonomous vocabulary learning ability.
Credibility Analysis of a Tether Net Simulation System
Authors: Lin Qi , Chen Yong
Published: September 2013

Simulation is an important tool for studying the existing and out-coming techniques, and in the meantime there exists disbelief in simulation verification all the time. As credibility is the key in simulation fidelity study, it is important to give an all-round discussion of the credibility of simulation systems themselves. A technique is described for constructing a formalized framework of credibility analysis in simulation systems, on the basis of which the practical method is put forward. The method can be applied to study unexpected or inaccurate simulation results. Following this, the method is applied in a tether-net simulation system to verify the usefulness of the approach proposed. The results of evaluating are discussed.
The Implementation of Serial Communication CSerial the Port Class
Authors: Wen Nai Ning , Gong Shang Fu , Wang Yan Jun
Published: September 2013

llustrating the advantages and disadvantages of several commonly used methods to develop serial communication program under Microsoft Windows, this article uses a serial communication class through a third party, namely the use the Remon Spekrijse provided free serial port class CSerial the Port class, complete the RS232 serial port communication between the examples show, CSerial Port is a very simple, convenient and convenient and simple multi-threaded serial programming tool.
Security Issues and Challenges in Event-Driven Wireless Sensor Networks
Authors: Liang Lu Lu , Zou Qi , Yang Guang , Shi Lei
Published: September 2013

Recently, wireless sensor networks (WSNs) have attracted a lot of attention from the network research community, especially in the aspect of event-driven wireless sensor networks (EWSNs), such as adversary locating, fire detection and so on.As the nature of importance of event monitoring, security has to be assured in both of communication and processing. However, due to the inherent resource constraints, security inEWSNs is faceddifferent issues and challenges than traditional WSNs.In this paper, we attempt to give an outline on the security issuesin the EWSNs. And then we propose a new secure architecture for it, which covers potential security issues. In this architecture, we analyze the possible threats and give out the correspondingcountermeasures.
Improved Additive Operator Splitting Algorithms for Basket Option Pricing Model
Authors: Yang Xiao Zhong , Zhou Gao Xin
Published: September 2013

In order to solve Black-Scholes equation of basket option pricing model by numerical method. This paper used Additive Operator Splitting (AOS) algorithm to split the multi-dimensional Black-Scholes equation into equivalent one-dimensional equation set, and constructed 'Explicit-Implicit' and 'Implicit-Explicit' schemes to solve it. Then compatibility, stability and convergence of those schemes were analyzed. Finally, this paper compared computation time and precision of the schemes through numerical experiments. 'Explicit-Implicit' and 'Implicit-Explicit' schemes of AOS algorithms have both higher accuracy and faster computing speed and them have practical significance in solving basket option pricing model.
A New Parallel Difference Numerical Method for the Payment of Dividend Black-Scholes Equation
Authors: Yang Xiao Zhong , Zhang Fan
Published: September 2013

A new alternating segment explicit-implicit and alternating segment implicit-explicit methods for solving the payment of dividend Black-Scholes equation are presented. These new methods have several advantages such as: good parallelism, unconditional stability, convergence and better accuracy. Numerical experiments show that the methods improve the calculation speed greatly.
Fast Root-Finding of Nonlinear Equations in Geometric Computation
Authors: Geng Chang Chun , Li Zhong , Zhou Tian He , Yang Bin
Published: September 2013

Computing the roots of polynomials is an important issue in various geometric problems. In this paper, we introduce a new family of iterative methods with sixth and seventh order convergence for nonlinear equations (or polynomials). The new method is obtained by combining a different fourth-order iterative method with Newtons method and using the approximation based on the divided difference to replace the derivative. It can improve the order of convergence and reduce the required number of functional evaluations per step. Numerical comparisons demonstrate the performance of the presented methods.
Research and Application of Parallel Computing under Linux
Authors: Wang Xue Chun , Zheng Quan Lu
Published: September 2013

Parallel computing is in parallel computer system for parallel processing of data and information, often also known as the high performance computing or super computing. The content of parallel computing were introduced, the realization of parallel computing and MPI parallel programming under Linux environment were described. The parallel algorithm based on divide and conquer method to solve rectangle placemen problem was designed and implemented with two processors. Finally, Through the performance testing and comparison, we verified the efficiency of parallel computing.
Supply Chain Coordination Based on Buyback Contract under the Imperfect Product Quality and Fuzzy Demand Environments
Authors: Wang Xiao Bin , Wang Yi Hua
Published: September 2013

The coordination of two-echelons supply chain by buyback contract under the imperfect product quality and fuzzy demand environment is investigated in this paper. The mathematical models are built based on credibility theory, and the optimal parameters of buyback contract are obtained. In addition, the influence of the imperfect product rate on the parameters of buyback contract is analyzed. Finally, a numerical example is presented to demonstrate the solving processes of the models and the different effects of imperfect product rate on parameters of buyback contract and the fuzzy expected profit value of all members in supply chain.
Infrared Image and Visible Image Fusion Based on Wavelet Transform
Authors: Zhou Ze Hua , Tan Min
Published: September 2013

The same scene, the infrared image and visible image fusion can concurrently take advantage of the original image information can overcome the limitations and differences of a single sensor image in terms of geometric, spectral and spatial resolution, to improve the quality of the image , which help to locate, identify and explain the physical phenomena and events. Put forward a kind of image fusion method based on wavelet transform. And for the wavelet decomposition of the frequency domain, respectively, discussed the principles of select high-frequency coefficients and low frequency coefficients, highlight the contours of parts and the weakening of the details section, fusion, image fusion has the characteristics of two or multiple images, more people or the visual characteristics of the machine, the image for further analysis and understanding, detection and identification or tracking of the target image.
Weight-Discounted Symmetrization in Clustering Directed Graphs
Authors: He Bin , Liu Hui , Zhao Xiang Hui , Li Ze Feng
Published: September 2013

An increasing attention has been recently devoted to uncovering community structure in directed graphs which widely exist in real-world complex networks such as social networks, citation networks, World Wide Web, email networks, etc. A two-stage framework for detecting clusters is an effective way for clustering directed graphs while the first stage is to symmetrize the directed graph using some similarity measures. Any state-of-the-art clustering algorithms for undirected graphs can be leveraged in the second stage. Hence, both stages are important to the effectiveness of the clustering result. However, existing symmetrization methods only consider about the direction of edges but ignore the weights of nodes. In this paper, we first attempt to connect link analysis in directed graph clustering. This connection not only takes into consideration the directionality of edges but also uses node ranking scores such as authority and hub score to explicitly capture in-link and out-link similarity. We also demonstrate the generality of our proposed method by showing that existing state-of-the-art symmetrization methods can be derived from our method. Empirical validation shows that our method can find communities effectively in real world networks.
A Framework of Evaluation Methodologies for Network Anomaly Detectors
Authors: Zhao Xin , Qian Ye Kui , Wang Chang Sheng
Published: September 2013

Anomaly detection has been a field of intensive research over the last years. Along with that several works to evaluate anomaly detectors have been proposed. In this paper we argue four properties regarding ideal evaluation methodologies that cannot be answered by single current evaluation technique employed today. We therefore present an framework of an evaluation methodology that leverages traces from operational networks, simulation and emulation to satisfy the four properties.
A Measurement Method for College Librarian Performance Based on Neural Network
Authors: Wang Ping
Published: September 2013

Librarian performance measurement is an important work for college libraries. It is of great significance for library management work. In this study, the measurement index system of Librarian performance is discussed and established firstly. Then, an improved BP algorithm with two times adaptive adjustment of learning parameters is applied in librarian performance measurement. A measurement method for college librarian performance based on BP neural network is proposed. The illustrational results show that we can realize a fast and accurate measurement of college librarian performance by this method. It is helpful for college libraries to promote the service quality and efficiency.
Hebei Electric Power Energy Structure and the Power Supply and Demand Prediction under the Low-Carbon Economy - Analysis Based on the Gray GM (1,1) Model
Authors: Hang Yuan Sheng , Zhu Qing
Published: September 2013

The electric power industry is the largest CO2 emitting sector in the national economy. So optimize the power structure is an important part of energy conservation. This article selected the data of power supplydemand and the power structure in Hebei Province from 2004 to 2011 on the basis of the analysis of the power structure. It established a short-term prediction model based on gray theory, and made the power supply and demand situation and the power structure prediction of Hebei province in the next five years, and provides a reference for the scientific development of the power structure optimization of Hebei Province in the low-carbon context.
The Recursive Algorithms of Yule-Walker Equation in Generalized Stationary Prediction
Authors: Zhang Er Yan , Zhu Xiao Feng
Published: September 2013

Toeplitz matrix arises in a remarkable variety of applications such as signal processing, time series analysis, image processing. Yule-Walker equation in generalized stationary prediction is linear algebraic equations that use Toeplitz matrix as coefficient matrix. Making better use of the structure of Toeplitz matrix, we present a recursive algorithm of linear algebraic equations from by using Toeplitz matrix as coefficient matrix , and also offer the proof of the recursive formula. The algorithm, making better use of the structure of Toeplitz matrices, effectively reduces calculation cost. For n-order Toeplitz coefficient matrix, the computational complexity of usual Gaussian elimination is about , while this algorithm is about , decreasing of one order of magnitude.
A Data Localization Algorithm for Distributing Column Storage System of Big Data
Authors: Ding Jia Man , Jiang Ying , Wang Qing Xin , Liu Ying Li , Li Meng Juan
Published: September 2013

Distributing column storage is one of the techniques to improve the efficiency of big data access under the cloud computing environment. To achieving the aim and reducing network data access frequency, paper established a data localization strategy and designed a multi-thread algorithm. Firstly, segmentalize data in the horizontal direction, and then divide vertically the data table into data column, and ensure that the same level column data localize on the same node in the cluster. Secondly, the essay designed and realized the data localization algorithm under Hadoop distributed cloud computing framework. Finally, experiments show remarkable reduces in the network access with the usage of data localization algorithm, and improvement of the data access efficiency.
Research on Calculating the Parameters of Signal Timing for TSP Based on Enumeration Method
Authors: Gu Tian Hong , Cao Hui Jian
Published: September 2013

It is of importance to calculate the parameters of signal timing for TSP (Transit Signal Priority). However, most studies computing the delay are provided based on formula of triangle area. With communication technology developing precisely calculating the delay time of buses can be achieved. The kernel algorithm of TSP still has room for improvement. In this paper, the algorithmic flow of the most of functions is presented based on Enumeration Method.Meanwhile the study uses the VISSIM simulation model to evaluate the impact of a number of alternative priority strategies on both the prioritized buses and general traffic. The priority logic that is considered in the study provides signal timing parameters within a real-time traffic signal control environment. A case study was conducted to validate the model results. Simulation results shows that this method effectively reduces average delay time of the travelers.
A Novel Non-Data-Aided Frequency Estimation Algorithm for M-PSK Signals
Authors: Tian Qing Hua , Man Xin , Zeng Sheng
Published: September 2013

This paper deals with the problem of carrier frequency estimation for MPSK symbols. We present a novel non-data-aided method by introducing a step factor into an earlier estimation algorithm to reduce the computational complexity with little loss of the estimation accuracy. We also make some comparisons with earlier algorithms. From the results of simulations, we make the conclusion that the new method can separate the estimation range and the estimation accuracy, and avoid the weakness of reaching large estimation range at the expense of estimation accuracy.
Two-Dimensional Fourier Transforms Parallel Algorithm Research Based on the PC Clusters
Authors: He Jie , Li La Yuan
Published: September 2013

A Parallel Computing is the important method to enhance the speed of multiple data 2-D FFT operation in MPI and is the low-cost, high efficiency project proceeded in a cluster of PCs. This paper discussed the method how to execute the MPI parallel programming in cluster environment, the feasibility of proceeding parallel 2-D FFT in cluster of PCs was discussed and some meaningful conclusions and ways were also achieved., proposed algorithm improved thoughts.
A Novel Unconstrained Criterion for Blind Equalization Based on the Property of Vector Norm
Authors: Wang Da Lei , Yang Bin , Wu Ying , Wang Xiu Xiu
Published: September 2013

This paper proposes a novel unconstrained criterion of blind equalization, which is based on minimizing the difference between two norms of the joint channel-equalizer impulse response. There is no need to impose any constraint on the equalizer coefficients when adjusting. The algorithm is convergent in the sense that a perfect equalization solution is achieved at every local optimum of the function. And we propose a batch algorithm and online-recursive method for implementation. Finally, the reliability, validity and good performance of the proposed algorithm are verified by evaluation of residual ISI through computer simulations.
Study of BLAST Signal Detection Algorithm in LTE System
Authors: Lei Tao , He Deng Ping , Chen Fang Tang
Published: September 2013

BLAST can achieve high speed data communication. Its signal detection directly affects performance of BLAST receiver. This paper introduced several signal detection algorithmsZF algorithm, MMSE algorithm, ZF-SIC algorithm and MMSE-SIC algorithm. The simulation results show that the traditional ZF algorithm has the worst performance, the traditional MMSE algorithm and the ZF-SIC algorithm is similar, but with the increase of the SNR, the performance of ZF-SIC algorithm is better than MMSE algorithm. MMSE-SIC algorithm has the best detection performance in these detection algorithms.
A Finding Method of Shape Theme Based on Wavelet Time Series
Authors: Guo Qiu , Guo Lu
Published: September 2013

Finding shape theme has raised great attention in the database of shapes. According to the problem of incompatible about accuracy and complexity in the shape theme search algorithm ,this paper proposed a finding theme algorithm using the multi-resolution analysis of wavelet and the processing capability of reduction dimension of time sequence , accurately calculated the similarity between different objects combining with the Euclidean distance formula, and achieved satisfactory results. Through the comparison between the real data sets to test and traditional shape theme algorithm, it shows that the method has good stability and reliability, and ensure the real-time processing ability of the closed contour shapes overall matching.
Research and Improvement on K-Means Clustering Algorithm
Authors: Wang Xue Mei , Wang Jin Bo
Published: September 2013

According to the defects of classical k-means clustering algorithm such as sensitive to the initial clustering center selection, the poor global search ability, falling into the local optimal solution. A differential evolution algorithm which was a kind of a heuristic global optimization algorithm based on population was introduced in this article, then put forward an improved differential evolution algorithm combined with k-means clustering algorithm at the same time. The experiments showed that the method has solved initial centers optimization problem of k-means clustering algorithm well, had a better searching ability,and more effectively improved clustering quality and convergence speed.
Application of XML for Telemetry Data Management
Authors: Zhang Zhi Guo , Gong Lei , Wang Hong Ping
Published: September 2013

At present, the telemetry data is stored and released in the form of binary file or text file, and the user cant find out the data structure from the file itself, this bring difficulties in query and the information sharing. To deal with the problem, a XML-based telemetry data management method was proposed by taking the advantages of extensible makeup language (XML). Large scale of telemetry data can be stored in sections using this method, index efficiency of telemetry data is increased obviously in the operation of practical system. The distribution ability of telemetry data is increased too.
A Clustering Algorithm of E-Learningers Based on Rough Set
Authors: Wang Yun Hua , Ke Hui Yan
Published: September 2013

The demand for individualized teaching from E-learning websites is rapidly increasing due to the huge differences existed among E-learning learners. A method for clustering E-learningers based on rough set is proposed. The basic idea of the method is to reduce the learning attributes prior to clustering, and therefore the clustering of E-learningers is carried out in a relative low-dimensional space. Using this method, the E-learning websites can arrange corresponding teaching content for different clusters of learners so that the learners individual requirements can be more satisfied.
A Novel Optimizing Mechanism of Load Balancing in LTE Network
Authors: Luan Yu , Wang Bo , Lv Zhao Biao , Wang Jian Quan
Published: September 2013

With the rapid developing of wireless communication technology and the growing user service, the demand on the system capacity from users is growing. In the LTE network, the uneven load distribution makes that network resource is not fully utilized, which results that the capacity is limited. In this paper, a novel optimizing mechanism of network load balancing based on the network manager is proposed. The eNBs in the network will broadcast the current load status by the way of adapting a new message format with the life cycle bit when the load of the cell is changed, then the serving eNB can decide which part of users in the cell should transfer to the neighboring cells and send a request to the network manager. The network manager will calculate whether the transferred users make the neighboring cell load exceed the threshold. If not, the users can be transferred to the neighboring cell and release the serving cells load burdon. Otherwise, the serving cell will search other neighboring cells to transfer the users. The simulation results show that the proposed mechanism will not consume more network resource and improve the network throughput significantly.
A Novel Approach to Improve the Frequency Resolution Based on Sparse Representation
Authors: Gui Wen Ming , Liu Rui Fan , Bai Guang Yi , Shao Xi
Published: September 2013

How to improve the frequency resolution, especially in the low frequency bands, is an important problem for many applications. A novel approach based on sparse representation was proposed for this problem. In this work, we first discussed the design of the over-completed dictionary with the high frequency resolution, and then Matching Pursuit was advised to perform sparse decomposition using Matching Pursuit Tool Kit. Next, the frequency information was extracted from the code book of the results of Matching Pursuit. Finally, the experiments demonstrated the improvement of the frequency resolution for the proposed approach.
An Improved Differential Evolution Optimization Based on P System
Authors: Zhong Yan Hua , Nie Shu Zhi
Published: September 2013

Membrane computing (P system) is a new computing model; it comes from the research of the basic function and structure of creatures cell membrane. It has complex structure and multi-level. It converges quickly and has high quality of the optimal results. In this article, discussed the basic theory of the membrane computing and the steps of the algorithm. Apply Membrane computing principle to the differential evolution algorithm, constructed a hybrid differential evolution algorithm on the basis of the membrane structure. Finally, utilized the Objective Functions to test the new algorithm performance, compared with related algorithms to analyze the advantages and disadvantages of the new algorithm.
Mix-Subdivision Dynamic Terrain Visualization Algorithm
Authors: Zhao Xiao Hui , Xie Bao Di , Wan De Peng , Wang Qing Yun
Published: September 2013

Dynamic Terrain is becoming more and more important in ground-based simulation systems. In military simulation systems, craters and ruts can improve the reality. In this paper, a dynamic terrain visualization method based on quadtree and multi-resolution voxel is presented in order to realize the real-time rendering for realistic craters in battlefield. Quadtree is selected as our basic data structure and mix-subdivided according to the size of the terrain. Scene tree is recursive subdivided according to both the distance between the node and camera and error criterion. Vertex is removed to solve the cracks and linear interpolation to solve popping in the algorithm. We also implement the visualization of craters through combining our algorithm with the physical model of craters based on multi-resolution voxel. The implementation results prove that the method are feasible and efficient.
The Summarize of Improved HMM Model
Authors: Shi Fang Fang , Cheng Xian Yi , Chen Xiang
Published: September 2013

The hidden markov model is a kind of important probability model of series data processing and statistical learning and it has been successfully applied in many engineering tasks. This paper introduces the basic principle of hidden markov model firstly, and then discusses the limitations of hidden markov model, as well as the improved hidden markov model which is put forward to solve these problems.
An Anti-Collision Algorithm Based on Slot Location and Tag Estimation
Authors: Liu Yong , Xiong Xing Zhong
Published: September 2013

RFID is one of the most important technologies in the Internet of Things (IoT), which has been widely used in all kinds of fields. However, a key problem is the tag collision when multiple tags reflect simultaneously to a reader. In traditional algorithm, slot location is always ignored. We present an anti-collision algorithm based on tag estimation and slot location in this paper. The key technique can be divided into two parts: precisely tag estimation and slot location. Simulation and test results show that the proposed anti-collision algorithm performs better than the traditional algorithm despite its simplicity.