bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Implementation of School Hospital Information Analysis and Mining System
Authors: Wang Xue Song , Guo Qiang , Li Shan Shan , Cao Rong Fei
Published: February 2014

Hospital information analysis is a very important way to enhance the medical service. In this paper, the hospital information analysis system of university is implemented for revealing hidden information. First, the processing model of medical information is studied. Then, the multi-layer architecture and framework are proposed and designed based on the thought of hospital information management system. Third, data statistic and data mining technologies are employed to manipulate the data, which includes Apriori algorithm, time series analysis and so on. Finally, experiments are finished to show that the medical information has intrinsic knowledge and data mining methods can reveal some of it.
An Empirical Evaluation of Boosting-BAN and Boosting-MultiTAN
Authors: Sun Xiao Wei , Zhou Hong Bo
Published: February 2014

An ensemble consists of a set of independently trained classifiers whose predictions are combined when classifying novel instances. Previous research has shown that an ensemble as a whole is often more accurate than any of the single classifiers in the ensemble. Boosting-BAN classifier is considered stronger than Boosting-MultiTAN on noise-free data. However, there are strong empirical indications that Boosting-MultiTAN is much more robust than Boosting-BAN in noisy settings. For this reason, in this paper we built an ensemble using a voting methodology of Boosting-BAN and Boosting-MultiTAN ensembles with 10 sub-classifiers in each one. We performed a comparison with Boosting-BAN and Boosting-MultiTAN ensembles with 25 sub-classifiers on standard benchmark datasets and the proposed technique was the most accurate.
Detecting DDoS Attacks Using Conditional Random Fields
Authors: Liu Yun , Jiang Si Yu , Yuan Xiao Jie
Published: February 2014

In recent years, the detection technology based on machine learning algorithms for distributed denialof-service (DDoS) attacks has made great progress. However, previous methods fail to make full use of contextual information and rely heavily on the probability distribution of the input data. To avoid those pitfalls, the Conditional Random Fields (CRF) model is introduced in this paper for DDoS attacks detection. Firstly, the CRF is trained to build the classification model for DDoS attacks based on three groups of statistical features including conditional entropy, flag ratios and protocol ratios. Then, the trained CRF models are used to identify the attacks with model inference. Experimental results demonstrate that, the proposed approach can accurately distinguish between attacks and normal network traffic, and is more robust to resist disturbance of background traffic than its counterparts.
Measurement of Growth Kinetics of Deeply Undercooled Zr50Cu50 Melt by Electromagnetic Levitation Technique
Authors: Li Li Xin , Zhao Jun Liang , Guan Xue Mao
Published: February 2014

The crystal growth kinetics in the deeply undercooled Zr50Cu50 melt was studied with the electromagnetic levitation technique. The maximum growth rate umax was, for the first time, demonstrated in undercooled metal and alloy melts, and this allowed us to construct the complete profile of crystal growth kinetics in the whole undercooling region of Zr50Cu50 melt. In deep undercooling region near glass transition, the diffusion-controlled crystal growth mechanism accounted for the growth kinetics, while at lower undercooling the profile around umax remarkably differed from what the classical growth theory covers.
Initial Alignment Algorithm Study Based on Rotating Modulation and Kalman Filtering
Authors: Zhang Zhi Wei , Sun Hua Dong
Published: February 2014

Kalman filtering is used to restrain the influence of environmental disturbance to the initial alignment precision. Meanwhile, rotating modulation is utilized to reduce the influence of peg-top excursion and accelerometer zero deflection. The theoretical analysis and test data demonstrate that the proposed algorithm can improve the alignment precision by the combination of the two methods.
Utilizing CodedUI Script to Realize the CT Scanning Procedure Automatically Test
Authors: Yang Jun , Meng Xi , Zhang Xue Long , Xia Tian
Published: February 2014

It is indispensable and effective to utilize automatic software test method to verify the steady operations and stable performance of scanning procedures for CTs system. Directing at the problems which are encountered during the progress of the automatic test program development, In this paper, we discuss how to deal with such problems as windows blocking, identify control, one click start up to make sure the manual automatic test code explored via the Coded UI is useful and robust. It is the final targets too realize the stable operations of multiple CT scanning procedures.
ASP.NET Websites Longitudinal Security Theoretical System
Authors: Wang Cheng , Huang Zhi Guang , Liu Hui Min , Gou Jin , Zheng Li Xiao
Published: February 2014

With the development of Internet technology, ASP.NET has been the most widely used Web platform. The invasion and attack of ASP.NETs sites bring Websites developed by ASP.NET facing a severe trial. With the constant expansion of the site, the Microsoft security features were not enough. This paper will summed up the knowledge and experience of ASP.NET website security development based on the Web security theory. In this paper, the strategy of the longitudinal analysis, platform security, data security, Web application security, WCF security, website front-end security and other important aspects will be analyzed. By constructing a relatively complete theoretical of ASP.NET security, intelligence e-business web site Kooboo eCommerce become much more secure.
A Research of Information Management System Based on Data Mining
Authors: Wang Ji Kun , Hu Xing Zhi , Li Xue Zhe , Ding Fei Ji
Published: February 2014

As it's known to all, taking full advantage of useful information in university information management systems can improve the quality and efficiency of university management. With the aim at the characteristic of the information management system, this paper proposes practical applications of the Data Mining in university information management by analyzing the process, main workload and main technical methods of data mining. And finally, we provide some guidance information and reference information for the university management staffs to help them accomplish the university management quickly and efficiently.
Hadoop-Based Model of Mass Data Storage
Authors: Li Yang
Published: February 2014

Aiming at more and more data produced by network, it is extremely important to manage and store these data by using mass data storage platform. This paper presents a method of managing rationally and storing mass data based on distributed computing technique. It is based on Hadoop distributed platforms, mainly using the HDFS distributed file system, MapReduce parallel computing models and Hbase distributed database technology as massive data processing methods, to achieve the efficient storage. The model can overcome the existing deficiencies of the current means of storage and solve the problems of mass data in storage, which has good scalability and reliability, thus the efficiency of storage can be further improved.
Research on the Project Studio System of Computer Multimedia
Authors: Zhang De Jia
Published: February 2014

Work integrated learning is the center of high vocational education. It is one of the most significant approaches to realize the training purpose of high level talent. At present, high vocational education faces one issue which is how to improve the specialty education level by work integrated learning and improve the initiative of students. In the paper, we begin with the teaching practice of compute multimedia technology, discuss how to create project studio system in specialty teaching and analyze the effect and prospects of this teaching model as well. The paper puts forward a notion about practice and reform on multimedia information specialty in higher vocational education, its emphasis includes: curriculum structure, curriculum evaluation manners, academic and practical instruction.
An Improved Apriori Algorithm Based on LinkedList for the Prevention of Clinic Pharmaceutical Conflict
Authors: Tong Li Rong , Zhang Jun , Ma Lei , Xin Li , Hu Shuang , He Jian Feng
Published: February 2014

Investigation of association relation for medical prescription appears as an essential part for the treatment of patient in clinical pharmacy. Not often, however occasionally, the pharmaceutical conflict that could possibly relate to unpredictable hazard to patient may occur. Therefore, clinical physicians apply specific software package embedded in HIS (Hospital Information System) to sensitively and instantly discover the potential danger from the electronic prescription. In some HIS systems or independent software packages, Apriori algorithm is applied in pharmaceutical conflict checking, however, the efficacy is encumbered due to the mechanism of the algorithm. The mentioned algorithm Apriori is a classical algorithm for association rules mining, it applies an iteration method called searching step by step, to explore K itemset by (K-1) itemset. Each time when it explores a K-itemset, Apriori algorithm must scan the whole database, which causes the obvious reduction of efficiency due to the requirement of constant database scanning. To solve this problem, an improved Apriori algorithm based on Linkedlist is applied. Due to the decrease of transactions number, the operating efficiency of the algorithm is enhanced during the process of K-itemsets exploration. In order to reduce the number of transactions, the database is transformed into a series LinkedLists which could allocate an element of L1 as header node. After being transformed, the whole database scanning could be skipped. Instead, the corresponding LinkedList is scanned to explore K-itemsets. The proposed method could filter the unrelated transactions during the generation of frequent itemsets. The experiment proves that the new algorithm could release better performance rather than original Apriori algorithm.
Implementation of Mail Classification Using Neural Networks of the Second Type Spline Weight Functions
Authors: Zhang Dai Yuan , Yang Lei
Published: February 2014

How to effectively filter out spam is a topic worthy of further study for the growing proliferation of spam. The main purpose of this paper is to apply a new neural network algorithm to the classification of spam. In this paper, we introduce a second type of spline weight function neural network algorithm, as well as e-mail feature extraction and vectorization, and then introduced the mail sorting process. Experiments show that it can get a relatively high accuracy and recall rate on the spam classification. Therefore, with this new algorithm, we can achieve better classification results.
Research of Generalized Ant Colony Algorithm for Logistics and Distribution
Authors: Zhang Dai Yuan , Zhao Hua
Published: February 2014

Logistics and distribution problem, in essence, is the vehicle routing problem, belonging to NP-hard problem. For drawbacks of basic ant algorithm such as searching for a long time, easy to fall into local optimum, generalized ant colony algorithm has been proposed. Applying the generalized ant colony algorithm to logistics and distribution problem can improve the utilization of the vehicle; reduce transportation costs and achieve the purpose of scientific management of logistics.
The Design of Virtual Training System Based on Virtools
Authors: Sun Li Na , Jia Huan Jun , Zhao Ya , Wang Yong , Wen Jing
Published: February 2014

Constructing virtual training system based on Virtools technology is useful for enhancing the efficiency and effect of training. In this paper, we analyze the intension of virtual training system, expatiate the meaning of virtual training system in oil jobs training, generalize the technical characters and advantages of Virtools, and take the example of installing BOP to introduce the design of virtual training system.
Extension of VIKOR Method for Multi-Attribute Group Decision Making with Interval-Valued Intuitionistic Fuzzy Assessments and Incomplete Weights
Authors: Xu Chen Guang
Published: February 2014

In this paper, we investigate the multi-attribute group decision making (MAGDM) problems in which all the information provided by the decision makers is presented as interval-valued intuitionistic fuzzy decision matrices where each of the elements is characterized by interval-valued intuitionistic fuzzy number (IVIFN), and the information about attribute weights is partially known. First, we utilize the induced interval-valued intuitionistic fuzzy hybrid averaging (I-IIFHA) operator to aggregate all individual interval-valued intuitionistic fuzzy decision matrices provided by the decision makers into a collective interval-valued intuitionistic fuzzy decision matrix. Based on the basic ideal of traditional VIKOR method, we establish an optimization model to determine the weights of attributes. Then, calculation steps based on the collective interval-valued intuitionistic fuzzy decision matrix and traditional VIKOR method for solving the MAGDM problems with interval-valued intuitionistic fuzzy assessments and partially known weight information are given. Finally, a numerical example is used to illustrate the applicability of the proposed approach.
BP Neural Network Learning Algorithm and its Software Implementation
Authors: Lin Ying Jian , Chen Xiao Ji
Published: February 2014

BP neural network in character recognition, pattern classification, text and voice conversion, image compression, decision support and so on aspects has the widespread application, in view of the problems existing in the actual application, this paper researches learning algorithm and software implementation. Learning algorithm studies include three aspects, illustrates the basic thoughts of the BP algorithm, designed the three layers BP network structure, the mathematical model for the accurate description of algorithm. Software implementation studies include two aspects, the network model of all neurons become linked list structure and storage structure is designed, the design of the software process and will implement the process into four steps. BP algorithm of the software implementation is a basic work for the application of BP neural network, using the research results of this paper, the user can easily neural network design and simulation.
Usage Control: A Solution to Access Control in a Distributed-Network-Connected Environment
Authors: Ghann Patricia , Wang Chang Da , Zhou Cong Hua
Published: February 2014

Computer and information technology has evaded our every aspect of life. Information technology is seen in all aspect of the individual from banking and investing to shopping and communicating through the use of the internet services such as emails and chat rooms. Organizations and industries also utilize computer and information technology to collect information on individuals leading to the creation of warehouse of databases that enable them to achieve their objectives. In a distributed network environment today, information security is a very important issue in ensuring a safe computing environment.
Data Mining Approaches in Manpower Evaluation
Authors: Meng Jun , Chen Xiao , Zhu Tian Yu , Pan Yang Yang
Published: February 2014

Manpower allocation determines the competence of the companies. Scientific manpower allocation calls for accurate evaluation on the abilities that the employees have for the posts. In this paper, we first present a general fuzzy clustering model for manpower evaluation for companies. To verify the approach, a new distance-based evaluation model is also presented. Simulation results demonstrated the accuracy of our research.
Study on Distributed Image Database
Authors: Gou Ping Zhang , Tang Yong Zhong
Published: February 2014

On the basis of the image data characteristics, this study contrasted four kinds of data model. Then it analyzed the three kinds of implementation methods. It contrasts the management modes of the distributed image database finally.
A Quantitative Network Situation Assessment Method Based on Stochastic Model
Authors: Zhang Bo Yun
Published: February 2014

This paper describes the basic models of network security state evaluation system and concentrates on researching the situation assessment method with stochastic model. In the paper, which makes use of the Hidden Semi-Markov Model (HsMM), tries to simulate the operation of network system. The alert statistics, deriving from network defense system, is used as data sources to realize the evaluation of network security situation. HsMM modifies the HMM model concerning the hypothesis of some state-duration time in relation to exponential distribution, which coincides the description of the network systems operation in the real world. The experimental results imply that HsMM is an ideal security evaluation method.
Simple Preparation of Well-Dispersed Nanosized α-Fe2O3
Authors: Tong Yu Ping , Zheng Chen , Yu Chao Li , Fang Xin Yue , Zhang Yong Qiang , Liu Peng , Shi Wei Chao
Published: February 2014

Well-dispersed α-Fe2O3 nanocrystalline was prepared by a convenient self-propagation combustion method using low-toxic glycine as fuel, low-cost Fe (NO3)2·9H2O as raw materials. The XRD results indicate that the glycine doses have an important effect on the control of the average size and the order of the crystalline phase. The UV-vis results indicate that the α-Fe2O3 nanocrystals prepared by this method have a broad absorption peak whose center is at about 221 nm. TEM images revealed that the products were composed of well-dispersed particles with an average size about 35 nm.
Motion Capture as an Extension of Web-Based Simulation
Authors: Ölvecký Miroslav , Gabriska Darja
Published: February 2014

The results of researches in the area of web-based simulation, motion capture and virtual reality show that is necessary to put new technologies in the process of continual learning. Several educators try to find out the possibilities how to integrate these technologies in curriculum. In this article we deal with the results of our research which was focused on the web-based simulations (mentioned results we consider as a basis) and we deal with motion capture technology as a one possibility how to make more attractive the process of education for students.
Evolution of the Complicated Innovation Networks with Multi-Agent
Authors: Qiu Feng Xia
Published: February 2014

Using the patents with multi-agent, we provide detailed insights into the cooperation of the marine industry, which is also a complicated innovation network with different agents, such as universities, research institutes, companies. Patent applications and publications are used as measures for the innovation output of the industry. We find that the cooperation in the four different stages is getting more and more intent, and companies are the biggest nodes in the networks. Effects are found that the nodes with more independent innovation would cooperate more with other nodes. Company nodes also tend to seek more partners in the interior, and have more cooperation with partners. But the internal cooperation is a little in the universities and research institutes.
3G-Based Specialty Vehicles Real-Time Monitoring System
Authors: Zhuang Yu Feng , Yang Yang
Published: February 2014

At present, the wireless communications and mobile computing technology are relatively well developed. This article proposes a new special vehicle monitoring system in order to meet the needs of intelligent transportation industry. The monitoring system for special transport vehicles is designed to pass a full range of real-time monitoring to safeguard the vehicle transport of dangerous or valuable goods in transit security. The system has two main subsystems, including vehicle terminal subsystem and server-side subsystem. Wherein, the main function of the vehicle terminal subsystem is to all-round monitoring the specialty vehicles, including video, vehicle status, goods status and environment status etc. The terminal ensures the effectiveness of monitoring by using a 3G-based hybrid network access. The server-side subsystem is primarily responsible for information collection/processing/storage, providing monitoring display and publishing the WEB services which supported logistics information management systems and real-time traffic information. In practice, this article designs and implements a prototype system based on a natural gas transport fleet.
Design of TD-LTE PHY and MAC Layer in the Interactive System Primitives
Authors: Wang Hua Hua , Duan Chao Bo , Guo Shu Yao
Published: February 2014

Aiming at the complex and non-real-time in information exchange between the LTE PHY and MAC layer. Proposing a primitives interactive system solution which is based EMIF and The high-speed Ethernet interface.The management control information and the data information are sent separately by the EMIF and The EMAC interface,meeting the real-time needs of the project.The information is more accurate,efficient and better than using a single interface in this system for practice.
The Development of RRM Conformance Test in TD-LTE Idle_State
Authors: Liu Yu , Zhang Ning
Published: February 2014

In order for the RRM conformance of implementation in TD-LTE system idle_state, taking inter-frequency cell reselection procedure as the point of penetration, a new testing scheme is designed by developing testing and test control notation version 3(TTCN-3) test case to verify the RRM conformance. Furthermore, the test case is operated on the TTworkbench developed by German Testing tech. It also generates test execution flow chart to check the RRM conformance of idle_state functions.
Research and Development of Mobile Termination for the Steel Quality Evaluation System Based on Android
Authors: Cao Qiang , Lai Hua , Ge Wen Qing , Qi Ming Jie
Published: February 2014

According to the requirements of steel billet quality evaluation system application, this paper proposed a system design based on Android mobile terminal, and discussed the Android in the billet quality judging systems mobile terminals development and application combining to Android System features. The paper introduced the whole Android frame and the judging system framework, followed by the mobile terminal system requirements analysis, system design, function module analysis and application interface design. Finally the design used Java language to develop the system in Eclipse, achieved Android data acquisition applications and mobile information management applications.
A Heuristic Attribute Reduction Based on Multi-Granularity Rough Set
Authors: Pei Zhi Li , Qi Jian Hong , Liu Li Sha , Wang Qing Hu , Jiang Ming Yang , Wang Xun
Published: February 2014

In 2012, Wang Zuofei built up granularity-function and applied it to the measure of attribute importance and attribute reduction. On this basis, granularity-function based upon pessimistic and optimistic multi-granularity rough set is constructed. It is applied to the calculation of attribute importance and attribute reduction. According to the experimental results, the method can reduce the dimension of features and obviously improve the classification accuracy and efficiency.
Temperature Field and Thermal Stress Analysis of Large Caliber Gun Barrel
Authors: Qu Pu , Li Qiang , Yang Shu Fang
Published: February 2014

In order to analyze the temperature fields, temperature grads, thermal stress and thermal strain of large caliber machine gun barrel during firing, an analysis model was established for large caliber machine gun. The finite element analyze model are founded and the boundary condition of the model are loaded. The results indicated the temperature, temperature grads, thermal stress and thermal strain of the large caliber gun tube during continuous shots. The effect of thermal pulse loading on thermal stress, thermal strain is very obviously. So, thermal pulse loading is the primary origin of thermal stress, thermal strain of the large caliber machine gun barrel. At the same time, the thermal pulse loading is one of the important factors affecting the life of the gun tube.
The Numerical Simulation of Composite Explosive Energy Coupling in Underwater Explosion
Authors: Zhao Qian , Xu Geng Guang
Published: February 2014

This paper choose three kinds of explosives and two kinds of charge structure, the inner and outer layer, the left and the right structure. It studies the energy coupling between the two parts of explosives and the influence of charging way of energy output structure. Ls-dyna is used to numerically simulate the process, analyze this kind of composite explosive shock wave overpressure - time history curve and the change of temperature field with time when the explosive blast in deep water. Their energy outputs were compared with single formula of explosive. Simulation results show that: Using the same chemical composition, Different dual charging structure of explosives has an impact on the explosion of the same point load and the heat loss. The energy couples between two parts of explosive.
Performance of Earthquake Simulation Three Bi-Axial Shaking Tables
Authors: Huang Fu Yun , Fang Zi Ming , Li Jian Zhong
Published: February 2014

The shaking tables array is the prospective development direction in engineering structural anti-seismic researching field, and which can provide a powerful seismic testing platform. In this paper, the performance of three bi-axial shaking tables array at Fuzhou University was introduced. The trails of bare tables, fully inertial payload shaking tables as well as partly payload shaking tables with elastic structures were conducted. The testing reveals that the shaking tables array system of Fuzhou University has a perfect performance of compliance, coherence and synchronization, which are accepted the required.
Strength Evaluation of Unidirectional Composites Using Monte-Carlo Simulation
Authors: Wang Qiu Mei , Tan Lei , Liu Zheng Qin
Published: February 2014

A statistics method was carried out to characterize the fatigue strength distribution of GF/PP composites. Based on the stress of yarn bundles, the Weibull distribution parameters were determined. Also, we had presented an expression of interfacial shear stress between yarn tows and matrix. A Monte-Carlo simulation with 2D shear-lag equation had been used to analyze the tensile strength and simulate the failure process of unidirectional stretch of composites. Good agreements were obtained between the predicted results and experimental data.
Manipulation of IDT-Actuated Piezoelectric Membrane Actuators by Silicon Clamping
Authors: Zaehringer Sandy , Purr Julia , Schwesinger Norbert
Published: February 2014

This paper will introduce a piezoelectric micro membrane actuator with interdigitated (IDT) surface electrodes for polarization and actuation. The thus achieved polarization and generated electric field are highly inhomogeneous and cause therefore also inhomogeneous strain and stress distributions within the piezoelectric material itself. To equalize the strain and stress the material will deform. This deformation can be manipulated due to electrodes design and clamping of the membrane. The most outstanding achievement with this manipulation is the deflection of the membrane towards the actuated surface and not as is common in piezoelectric membrane actuators towards the passive surface of the device.
Researching on the Mechanic Properties of Early-Strength Polyurethane Concrete and its Affecting Factors
Authors: Jiang Kai , Su Qian , Bai Hao , Feng Xu
Published: February 2014

The early-strength polyurethane concrete technology is the new outcomes of materials used in the structure engineering these years, which mixed polyurethane resin of fast concretion properties with certain combination materials to form stable organization, and it can be applied in the fast filling and surface repairing of the roads and concrete structure. According to the high standards of the aggregate used in the concrete, this paper presents a new formulation of aqueous polyurethane concrete. By comparing the effects of main parameters such as moisture content, temperature, addition etc. working on the solidification though formulations experiments and strength experiments, it was found that the solidification need different moisture content at different temperatures. It is testified that the compressive strength of this new polyurethane concrete is 22.70MPa in practical application and theres no melt and decompose phenomena after marinating for a long time in marinating experiments, which satisfied the engineering need.
Multi-Level Linear Flexible Inverted Pendulum Modeling
Authors: Xu Tu , Zhang Cui Fang
Published: February 2014

Linear flexible inverted pendulum is a very good platform for testing control algorithm. A new algorithm will usually be used to control linear inverted pendulum in order to detect its control performance. Before that, you need to know the exact mathematical model of the inverted pendulum. Known modeling of multi-level linear flexible inverted pendulum used Newton's second law, in the case of ignoring the mass obtained, therefore, there are imprecise situation. Here the use of Lagrange equations with dissipation function, consider the quality of the mass of the multi-level linear flexible inverted pendulum modeling to obtain a more accurate mathematical model.
Extraction of Direction Features in Fingerprint Image
Authors: Zhang Liang
Published: February 2014

This paper mainly discusses on the extraction method of an important feature----direction image in automatic fingerprint identification system, Point and block direction are respectively calculated of fingerprint image after preprocessing. The results in the paper could provide the basis for studying matching characteristics of subsequent fingerprint. All works achieved are performed in the VC environment.
Improved Binarization Method of QR Code Mobile Terminal
Authors: Yuan Shu Fang , Zhang Zhen
Published: February 2014

This optimized binarization algorithms for mobile terminals QR code. Bimodal histogram method, OTSU method and homomorphic filtering algorithm were combined to improve multi-threshold method. Experimental results showed that the method to different light image of the environment was able to get a better QR code binarized image, greatly enhancing the success rate of the QR code recognition.
Creep Analysis of Eccentric Compression RC Columns
Authors: Qi An Ning , Zhu Huai Shui , Huang Da Hai
Published: February 2014

Based on the elastic-creep theory, a series of expressions that describe stress-strain increment and corresponding recurrence formula of reinforcement and concrete are derived from some basic formulas for eccentric compression RC columns. The stress-strains changing process considering repeated loading is calculated through numerical method. The effect of a long-time load on creep behavior of eccentric compression RC columns and stress process after unloading are studied. Many factors are considered in the study, which includes the eccentricity, the reinforcement ratio, the loading age and the duration of loading. Adopting this methodology may simplify the complexity of creep analyses and provide some references for the design of the structures.
Dynamic Load Effects of PVA Tail Sand Cement Base Composite Materials
Authors: Bao Wen Bo , Zhang Shao Feng , Di Gao Hao , Ji Wei Wei , Qu Li Hui
Published: February 2014

This paper studies that dynamic load affects mechanical properties of materials about composite tail ore different replacement rate, different PVA fiber volume content and different plate thickness. The phenomenon of the tests and results showed that:1) PVA tailings cement-based composite materials has low damage, strong integrity and strong energy dissipation under dynamic loading. 2) When the volume content is 2%, material resistance effect is best. 3) The study proves that 30 mm plate have good ductility and Size effect influence the material mechanics performance. 4) PVA tailings cement-based composite materials under dynamic loads ,as tailings content increases the performance indicators reduced. So the engineering applications recommended replacement rate of the tailings is 50%.
Experimental Verification of Atmospheric Physical Influence on Behaviour of Glass-Fibre-Concrete Façade Panels
Authors: Karmazínová Marcela , Melcher Jindrich
Published: February 2014

The paper presents the brief information on particular results of experimental study focused to the problems of behaviour of structural plated components made of glass-fibre-concrete and used in building constructions, exposed to the atmospheric physical effects caused by the weather changes in the summer period. Weather changes represented namely by temperature and rain cause also the changes of the temperature and moisture of the investigated structural components. This can affect their static behaviour that means stresses and deformations, which have been monitored as the main outputs of tests performed. Experimental verification is based on the simulation of the influence of temperature and rain using the defined procedure of warming and water sprinkling with respect to the corresponding weather conditions during summer period in the South Moravian region at the Czech Republic, where the application of these structural components is mainly considered. Within this experimental programme glass-fibre-concrete panels used for building façades have been tested.
A Fast Real-Time Scheduling Algorithm for WIA-PA
Authors: Jin Xi , Zeng Peng
Published: February 2014

WIA-PA networks have been widely used in industrial monitoring systems, but its real-time performance limits its usage in industrial control systems. And no existing works on real-time scheduling have taken into account all features of WIA-PA. So, in this paper, we propose an algorithm to schedule transmissions under real-time constraints for WIA-PA star-mesh networks. The algorithm is based on hybrid centralized and distributed network management, so it can quickly determine how to schedule transmissions. Experimental results show that our algorithm is fast and efficient.
An Authentication Scheme Based on the Light-Weight Rainbow Signature for Wireless Sensor Network
Authors: Shang Pei Ni , Gao Zhu Lian
Published: February 2014

Based on the rainbow signature scheme and combining the minus perturbation method of the Shamir, a new light-weight rainbow signature scheme is proposed. This scheme only uses the addition and multiplication operation, so it can be performed easily. This scheme has high security and can resist the minimal rank, rank reduction attacks and oil-vinegar attacks, etc. Based new signature scheme, we also design authentication mechanism for the WSN. According to the characters of the cluster WSN, this authentication mechanism can choose proper authentication parameters to realize the authentication on the cluster WSN by the platform and the authentication between the sensor node and its neighbor nodes.
Robustness of Autocatalytic Set in a Model of Evolving Network
Authors: Zhang Ren Quan , Wei Wei , Guo Bing Hui , Zhang Yang , Zheng Zhi Ming
Published: February 2014

Complex networks can describe a variety of systems in biology and chemistry, especially the systems containing the autocatalytic set (ACS). However, the robustness of the ACS has not been explored in details. Now we investigate the evolution process to reveal the robustness of the ACS. By defining two variables on the dependency of every node, we find that the ratios of the fraction with maximum and minimum value are invariable. Moreover, the robustness of the ACS depends on the fraction with maximum value extremely.
Research on MANET-Based Reliable Zone Routing Protocol
Authors: Hou Guo Zhao , Wang Peng
Published: February 2014

In MANET, the scheme for maintaining an inter-zone route in ZRP makes ZRP take more lost packets and more route re-discovering times; the former makes ZRP take lower delivery ratio of data packets, which makes ZRP take less reliability; the latter makes ZRP take more transmission delay and more routing overheads. Aiming at the problem above, a MANET-based reliable zone routing protocol (MRZRP) was proposed. In MRZRP, each node saved multiple backup routes from the node to each intra-zone node by maintaining an directed acyclic graph based on an intra-zone topology, and an inter-zone route was repaired by using backup segment routes as much as possible. The simulation results show that MRZRP improves delivery ratio of data packets, which shows that MRZRP improves the protocol reliability, and MRZRP also reduces the transmission delay and routing overheads.
MLTwig: A Multi-Layer Tree Pattern Matching Approach for XQuery
Authors: Li Xiao Qing , Liao Hu Sheng
Published: February 2014

Twig query, also known as tree pattern query (TPQ), is considered as the core operation of XML data queries. However, a complex XML query described by XQuery often cannot be represented by a single basic TPQ. Aiming at XQuery language, this paper presents a multi-layer tree pattern representation method, named MTP, and a matching algorithm MLTwig, which can effectively use intermediate results of outer query to match inner tree pattern in MTP based on a novel data structure, WTree, thereby saving time and space. Experimental results show that this algorithm can improve the processing efficiency for XQuery expression which can be represented by MTP.
Study on Object-Storage System Metadata Load Balancing
Authors: Chen Yong Feng , Zhou Dian Yu
Published: February 2014

The explosive growth of information to promote the development and evolution of the network storage system structure, object-storage system came into being, the object-based storage system stores the data in a storage device with intelligent in Object-based Storage Device, and the use of the metadata server to manage the metadata, but when the metadata access amount is very large, there is a potential performance bottleneck exist in MDS, so metadata server load balancing is very important, this paper studies the metadata server load balancing technology, proposed a dynamic equilibrium strategy based on permissions.
Online Data Compression Technique for Real Time Data of Energy Management System in the Industrial Production
Authors: Bai Jing , Pu Tie Cheng
Published: February 2014

Aiming at storing and transmitting the real time data of energy management system in the industrial production, an online data compression technique is proposed. Firstly, the auto regression model of a group of sequence is established. Secondly, the next sampled data can be predicted by the model. If the estimated error is in the allowable range, we save the parameters of model and the beginning data. Otherwise, we save the data and repeat the method from the next sampled data. At Last, the method is applied in electricity energy data compression of a beer production. The application result verifies the effectiveness of the proposed method.
Characteristics of the Mean Wind Speed Based on Field Measurement at Aizhai Bridge Gorge
Authors: Sun Hong Xin , Yu Tao , Wang Xiu Yong
Published: February 2014

It is seriously different about characteristics of the mean wind speed between a deep gorge and plains, because of the deck of Aizhai bride to deep gorge bottom up to 335m. Characteristics of the mean wind speed in the deep gorge at the Aizhai bridge site are investigated based on field measurement using three 2D anemometers. The plan of field measurement was induced, and the wind speed, fluctuating wind speed and the 10min average wind speed with 10 days as a unit was analyzed. It if found that wind direction is basically consistent with the gorge toward. Based on the Wind-Resistant Design code, the surface roughness coefficients was fitted about 0.29, and very close to D class of the wind code.
Multivariate Linear Wind Speed Forecast Method Based on the SSA and WRF Model
Authors: Zhao Yan Ru , Zhang Hong Li , Su Zhong Yue , Zhang Wen Yu
Published: February 2014

Nowadays, wind power has occupied the position that cannot be ignored in the electric power development. However, the accuracy of the wind speed forecast is very important for wind power generation. For proper and efficient forecast of wind speed, a novel model named WRF-SSA-MLR, which was combined by Weather Reseacher Forecast (WRF), Singular Spectrum Analysis (SSA) and Multiple Linear Regression (MLR), was proposed to predict the wind speed. The proposed model achieves 0.1318 to 7.9170 in the root mean square error (RMSE) compared to real wind speed values. For wind speed forecast, it could be a promising candidate for improving the prediction accuracy.
Comprehensive Evaluation Based Selection Method for Power Transformer
Authors: Zhong Chao , Li Ran
Published: February 2014

The power company is often concerned about the economy in power facility selection and ignores the technology, environment and societys influence on the selection decision. This paper established a new selection model covering economic, technical, environmental and social factors. Put forward the concept of comprehensive evaluation index and selected the transformer by comparing various types of transformer comprehensive evaluation index. Interval contact mathematical theory that can deal with a variety of uncertainties was introduced to process the model. Finally, verify the validity of the model with a specific transformer selection example.
The Building and Revising Strategy of Load Model Parameter Database
Authors: Zheng Jing Yuan , Zheng Xiao Yu , Li Yu Min , Liu Zhong Shu
Published: February 2014

It has been well recognized that the load model has great effects on the power system analysis and control. For the convenience in practicality, it is necessary to build the load model parameter database for the large grid. However, there are large differences between the build of load model database and other power system components because of its special characteristics. In this paper, the building and revising strategy of the load parameter database is proposed based on the researches of field data selection, load classification, model synthesis and load model extension which also provides the guides for the application of the measurement-based load model in large grid.
A Type of Depth Fault Current Limiter Based on Fast Switch and its Experimental Research
Authors: Qin Li Jun , Wu Xiao Teng
Published: February 2014

Along with the expansion of power system, the rapid growth of load in power system and large capacity generators continuously going into operation, the increasing of short-circuit current level cause a serious threat to the security of the power system. The contradiction between high fault currents and limited circuit breaker interrupting capacity is prominent, in order to limit high short-circuit current, reduce the energy loss of traditional fault current limiter, and improve the limiting depth, this paper presents an new fault current limiter (FCL), and analysis its ability of limiting short current.
Analysis of Risk Factors for Harmonic Voltage Distortion Caused by Inrush Current
Authors: Teng Yu Fei , Tang Fan , Wei Wei , Ding Li Jie , Zhang Hua
Published: February 2014

With the power grids gradually extending to remote areas, the number of the connection line with long distance, light load are increasing. In such a grid, the closing operation of the unloaded transformer may cause severe voltage distortion in the end of system due to the inrush current. This paper analyzes the risk factors for harmonic voltage distortion caused by the inrush current with two methods, including indexes comparison and simulation research. It is showed that the different generators operation modes and load levels have major impact on the risk for voltage harmonic distortion caused by inrush current in the system, and these factors need to be carefully considered in the analysis.
Feasibility Analysis of the Utilization of Passive Filter to Suppress Harmonic Overvoltage Caused by Inrush Current
Authors: Teng Yu Fei , Tang Fan , Wei Wei , Ding Li Jie , Zhang Hua
Published: February 2014

The feasibility analysis of the utilization of passive filter to suppress harmonic overvoltage caused by inrush current is proposed in this paper, against the grid of a Tibetan region in southwest China. Firstly, the author analyzes the risk of the overvoltage due to the excitation inrush current and proposes the design principle of the passive filter resonant frequency and the reactive power capacity under the risk. Finally, in this paper, the effect of the filter is checked with PSCAD software.
Multi-Attribute Comprehensive Evaluation Method for Power Transmission and Transformation Projects
Authors: Xu Kai , Ding Xiao Yu , Chen Hong Wei , Jiang Quan Yuan , Sun Ke , Zheng Chao Ming , Sun Ke
Published: February 2014

With the number of power transmission and transformation projects increasing, it needs to consider more indices information and utilize more comprehensive evaluation methods in the decision-making of building schemes. As a consequence, a comprehensive evaluation indices system, including the indices of network security, economy, environmental friendliness, adaptation and coordination of the power transmission and transformation engineering system, is firstly built to evaluation construction schemes. Then this paper proposes a multi-attribute comprehensive evaluation method for power transmission and transformation projects. In this method, the optimal combination weighting method based on the moment estimation is adopted to weight for every index. It can overcome the weakness of the subjective weighting methods and the objective methods. After that, the optimal scheme is obtained by the grey correlation-cosine prioritizing evaluation method, which can take into account the distance and angle information of schemes. Finally, the example shows this method can fully consider overall information of each index, having good operability.
A Novel Transformation Matrix Based on Karrenbauer Transformation
Authors: Zhang Heng Chao , Zhang Qing Chao , Gao Wei Zhao , Zheng Ming Zhong
Published: February 2014

For the modal analysis of un-transposed transmission lines, the traditional standard transformations fail. We propose a novel transformation matrix based on the Karrenbauer transformation matrix to simplify the calculation. This paper shows how to derive this corrected novel transformation matrix from the Karrenbauer transformation matrix by using some mathematical theories. In addition to the theoretical aspects discussed, some examples are presented for illustrative purposes.
Influence of Scattering Layer on the Performance of Solid-State Dye Sensitized Solar Cell
Authors: Xu Mi , Han Hong Wei
Published: February 2014

Carbon counter electrode based solid-state dye sensitized solar cells (ss-DSCs) have been investigated with the influence of scattering ZrO2 layer. Compared with the traditional noble metal based ss-DSCs, the scattering layer, which lies between the titania working electrode and counter electrode, plays the roles of both insulator to isolate the carbon electrode from the TiO2 working electrode and reflector to enhance the light harvesting efficiency. The particle size of the ZrO2 presents the remarkable effect on the performance of the ss-DSC.
Investigation on Antireflection Coatings for Silicon Solar Cells
Authors: Xue Chun Rong , Gu Yu Qin , Deng Ming Liang
Published: February 2014

Thin-film anti-reflecting coatings can greatly reduce the optical loss by making use of phase changes, and the reflectivity depends on the refractive index of materials. TiO2ZnS and Si3N4coatings are suitable for using as single layer anti-reflecting coating on bare silicon surface, while the MgF2/ZnS and SiO2/TiO2double-layer anti-reflecting coating result in a minimum reflectance lower than 0.5% over broad spectral regions, with an average reflectance of approximately 2.25% between 400 and 1100 nm on the non-textured Si substrate. The short circuit current of silicon solar cells has significant improvement after depositing anti-reflecting coatings, and it increases the efficiency of the Si solar cells.