bluuebunny/crossref_metadata_2025 huggingface dataset:
Development, Implementation, and Evaluation of a Geriatric Nurse Education Program
Authors: Wallace Meredith , Greiner Philip , Grossman Sheila , Lange Jean , Lippman Doris Troth
Published: December 2014

Substantial gaps exist between the number of older adults requiring competent geriatric care and the number of nurses able to provide it. The purpose of this study was to develop, implement, and evaluate a geriatric nurse education program to ensure nurses meet the needs of the increasing elderly population. Establishing partnerships between individuals in academia and those in a clinical practice was imperative in the development of the program. Content for the program was created with the assistance of a geriatric nursing consultant and approved by the State Nurses Association. The program was piloted with 18 participating nurses. Using paired
t
tests, pretests and posttests revealed significant improvements in the level of knowledge and attitudes toward older adults. As a result of the program, participants showed improved attitudes toward and increased knowledge of older adults’ needs, and further program development and dissemination are planned nationally and abroad.
Tool Kit for the Staff Mentor: Strategies for Improving Retention
Authors: Butler Martha R. , Felts Joan
Published: December 2014

Retention of new graduates in nursing continues to be a significant workplace issue, particularly in light of the heightening nursing shortage. Experienced nurses are in a pivotal position to positively impact retention, and, because of this, they can be called “keystoners.” Mentoring, an important role of the keystoner, requires specific skills and knowledge and can be learned. A tool kit designed to develop the mentoring skills of keystoners is described. The result of successful mentoring among keystoners can be multifaceted; workplace satisfaction and higher retention of new graduates are targeted outcomes.
Mateo vázquez de Leca: un secretario entre libros. 2. La biblioteca (y 2)
Authors: Gonzalo Sánchez-Molero José Luis
Published: December 2014

Mateo Vázquez de Leca (c. 1542-1591), canónigo de la catedral de Sevilla, arcediano de Carmona y secretario de Felipe II, fue uno de los personajes más influyentes en el último tercio del reinado de Felipe II. En el presente artículo se ofrece una reconstrucción del papel que los libros tuvieron en la formación y en el oficio político de este secretario regio, y se analiza, por medio de las fuentes de que disponemos, cómo se produjo el proceso de construcción de su biblioteca.
El derecho eclesiástico del estado colombiano de 1811 a 1991
Authors: Olano García Hernán Alejandro
Published: December 2014

El autor presenta las que a su juicio son las siete etapas del derecho eclesiástico del Estado en Colombia, que se desprenden de la parte del ordenamiento jurídico estatal y constitucional, dedicado a la regulación del factor religioso desde una perspectiva civil, presentando un tema controvertido y controversial de la historia constitucional colombiana, cuyo centro principal, en el orden nacional y provincial, fue la condición de nación sujeta a la Iglesia, en la que Dios era y es la fuente de la cual ha emanado la autoridad y la estabilidad de una nación donde el dogma constitucional ha sido el de la religión católica, apostólica y romana, como la única y verdadera religión del Estado.
La recuperación de los elementos de piedra en el patrimonio arquitectónico monumental: el caso del claustro del convento de la Asunción de Calatrava de Almagro (Ciudad Real)
Authors: Maldonado-Ramos L. , Barbero-Barrera M. M. , Rivera-Gámez D.
Published: December 2014

El Claustro del Convento de la Asunción de Calatravas es uno de los ejemplos de arquitectura renacentista de mayor interés situados en la provincia de Ciudad Real.

El presente artículo expone y resume el proceso de intervención llevado a cabo en los elementos pétreos del claustro, fundamentado en una investigación teórica sobre el tipo de material existente en la zona de estudio y en la edificación así como en las técnicas de intervención más adecuadas. Una vez seleccionadas éstas, su adecuación y compatibilidad se comprobó a partir de ensayos in situ desarrollados en áreas específicas de la intervención, extendiéndose posteriormente al resto de la actuación.

El artículo pretende divulgar la metodología empleada así como la actuación llevada a cabo en dicha edificación y crear un foro de debate sobre las técnicas de actuación restauradora en casos similares de patrimonio arquitectónico renacentista.
La construcción del entorno del Monasterio de San Lorenzo de El Escorial. Agua, territorio y paisaje
Authors: Chías P. , Abad T.
Published: December 2014

Los estudios sobre el Monasterio del Escorial se han centrado tradicionalmente en las cualidades arquitectónicas, formales y estilísticas del conjunto, evitando abordar el complejo e imprescindible sistema de infraestructuras construido para su servicio y sin el que no hubiera podido desarrollar las actividades religiosas, formativas y cortesanas para las que fue proyectado. Los requisitos funcionales de un conjunto tan importante hicieron necesaria la construcción de un gran número de obras como el abastecimiento de agua y el saneamiento, pero también ingenios como los molinos o caminos para facilitar el acceso y asegurar su abastecimiento. La presente investigación aborda el estudio de las infraestructuras del agua, construidas ininterrumpidamente desde del siglo XVI para dar servicio en un primer momento al conjunto monacal, y después a la propia población de San Lorenzo. Esta compleja red ha aportado al territorio y al paisaje un formidable conjunto de hitos aún desconocidos en su mayoría
Inference for Burr-XII Masked System Lifetime Data in Step-Stress Partially Accelerated Life Test with Type-I Progressive Hybrid Censoring
Authors: Cai Jing , Shi Yi Min , Yue Hong Bo
Published: December 2014

This article considers a step-stress partially accelerated life tests for series system model where independent and non-identical Burr XII-distributed lifetimes are assumed for the components. Based on Type-I progressive hybrid censored and masked data, expectation maximum algorithm combined with auxiliary variables is developed for estimating the model parameters and the acceleration factor. In addition, the asymptotic confidence intervals are constructed by the parametric bootstrap method. Furthermore, the proposed method is illustrated through a simulation study under various masking levels.
Design and Implementation of Processing Software for D-Peak Changed Pulse Wave
Authors: Fei Yu , Wang Jing Xia , Jie Zhao
Published: December 2014

The pulse wave is a very useful physiological signal which can reveal the information of human organs. D-peak change is an important change of pulse. To study the spectrum of the D-peak changed pulse wave quantitatively and get the statistics result of such kind of change, a new algorithm was proposed and a kind of processing software was designed and implemented. The software was tested by more than 200 person-times PPG pulse waves and showed good performance.
Design and Analysis of Multilayer Semiconductor Sensor for Acetone Gas Sensing
Authors: Fu Jian Yu , Wu Di , Zhou Bo Tian , Yuan Ye , Yan Hu Yong
Published: December 2014

Portable breath acetone sensor has great potential in diabetes diagnosis for acetone is a selective breath maker for diabetes. In this paper, we propose a multilayer semiconductor sensor for acetone gas sensing. Device is designed with stress adjustment layer, support layer, metal layer, insulator and sensing film. Simulation is performed, electrothermal and thermomechanical analyses demonstrate that this device has good performance in power consumption and thermomechanical reliability.
Ultrasonic Beam Simulation of Austenitic Stainless Steel Pipeline Welding Cladding
Authors: Wei Fu Xiang , Yu Gen Xi , Chai Li Chao
Published: December 2014

Austenitic stainless steel shows clear acoustic anisotropy. How to detect and evaluate the material becomes research difficulty and popular problem in acoustic detection field. In the paper, Civa software is applied for simulating ultrasonic wave propagation in austenitic stainless steel cladding layer. The influence of included angle between acoustic wave propagation direction and crystal axis on acoustic wave propagation is studied. The study results show that: the focusing property is good when the included angle is 30°-45°, which is beneficial for ultrasonic testing of cladding layer. When the included angle is greater than 70° or so, actual propagation path of acoustic wave and propagation direction of acoustic wave have certain deviation angle with poor acoustic wave focusing property and rapid acoustic attenuation speed, which is not conducive to acoustic detection of cladding layer.
Strategy and Analysis of Sport Events Based on Data Mining Technology
Authors: Li Hao Qin
Published: December 2014

In this paper, the difficulty of applying data mining technology to the technical-tactics analysis in sports field was investigated and a solution to mining the key factor of scoring in sport matches was presented. This solution applied an approach of data mining based on Markov process to find focal process of action transitions by calculating system reliability difference. Because rules of match brought ambiguity to data, a solution was proposed which preprocessed the data respectively by setting the threshold of the state transition probability. The experiment proves the correctness and feasibility of the solution.
Preprocessing in Biomedical Literature Mining Using Natural Language Processing
Authors: Peng Jing , Sun Hong Min
Published: December 2014

The number of biomedical literatures is growing rapidly, and biomedical literature mining is becoming essential. An approach for article processing in text preprocessing is proposed in order to improve the performance of biomedical literature mining. This approach combines the Web and corpus counts in order to eliminate the limitations of noise data of the Web. We experimentally showed that the performance of the combination models is the best comparing to the pure Web and corpus models. We achieve the best precision of 89.1% on all article forms and 88.7% article loss class.
Research on Generalization Technology of Spatial Line Vector Data
Authors: Dou Shi Qing , Zhang Xiao Yu
Published: December 2014

Data simplification is an important factor of the spatial data generalization, which is an effective way to improve rendering speed. This paper firstly introduces the algorithms classification of the spatial line vector data in two-dimensional environment, and then it emphatically summarizes and analyzes the advantages and disadvantages of the algorithms which can be used in the spatial line vector data simplification in the three dimensional environment. The three-dimensional Douglas-Peucker algorithm with a certain overall characteristics has wide application prospect. The simplified algorithms in 3D environment represent the development direction of the future. But at present, the existing data simplification algorithms in 3D environment are not mature enough, they all have certain advantages and disadvantages, this makes their use is limited by a certain extent. The application of these simplified algorithms in 2D and 3D is mostly on multi-resolution expression. Developing from 2D algorithm to the direction of 3D algorithm, it also lists many works and problems that need us to do and study in the future.
Fuzzy Maximum Independent Set Problem
Authors: Luo Dong Ling , Wang Chen Yin , Yi Yang , Zhang Dong Ling , Zhou Xiao Cong
Published: December 2014

Edge covering problem, dominating set problem, and independent set problem are classic problems in graph theory except for vertex covering problem. In this paper, we study the maximum independent set problem under fuzzy uncertainty environments, which aims to search for the independent set with maximum value in a graph. First, credibility theory is introduced to describe the fuzzy variable. Three decision models are performed based on the credibility theory. A hybrid intelligence algorithm which integrates genetic algorithm and fuzzy simulation is proposed due to the unavailability of traditional algorithm. Finally, numerical experiments are performed to prove the efficiency of the fuzzy decision modes and the hybrid intelligence algorithm.
The Design and Implementation of Key Technologies of the Computer Algorithm Dynamic System
Authors: Dai Wen Zheng
Published: December 2014

This topic mainly aimed at the dynamic simulation of some actual problems. The research is suitable for the dynamic system of modeling artificial model and learning algorithm. First it summarizes the existing network simulation model of dynamic system and network delay unit. All the feedback network and part of the feedback network model, the network topology is given and used for system simulation. The method of simulation learning algorithm and simulation instance. And then established the time-varying input and output process neural networks and network model of two kinds of discrete process neural network for its properties are analyzed and proved that the concrete learning algorithm is deduced. Finally combined with the actual problem, time-varying input and output process neural network is given in the application of system identification.
Research on Machine Translation Technology in English Translation Process
Authors: Tian Ke
Published: December 2014

Translation plays an important role in the world economic and cultural exchanges. Translation is divided into machine translation and human translation, which is complement each other in promoting world economic and social development process. In this paper, Collaborative Translation gets much attention, along with the growth of collaborative translation, English translation technology also towards a new milestone, the characteristics of collaborative translation process and scientific literature are briefly introduced, and collaborative translation technology English Translation applications made a brief explanation. From the perspective of the development of machine translation, comparative analysis of the characteristics of human translation machine translation strengths and weaknesses, and we make relevant response measures and selection criteria translation approach. The specific translation system is analyzed from the perspective of textual and the Collaborative Translation shortcomings, as well as interpretation of collaborative translation features, functions and its impact on the meaning and sentence meaning.
Research on Optimization and Application of LOD Algorithm in Virtual Reality Visualization of Terrain
Authors: Sun Jing , Wang Hong Tao
Published: December 2014

With the development of computer graphics, real-time rendering-based VF: technology has been applied in more and more fields. LOD is the key technology in large-scale terrain rendering. In this paper, the basic concept of LOD is introduced briefly and some algorithms of LOD in use are mentioned and analyzed; secondly as one of algorithms of LOD, View-Dependent Progressive Mesh algorithm is studied and improved, the result of implementing the large-scale terrain’s LOD by using VDPM is presented. There are key technologies in LOD Large-scale terrain real-time rendering are researched. Relative technologies are presented such as: LOD of the terrain, visibility culling, and cracks eliminate, view-dependent refine, LOD error, technologies of texture etc. Using LOD technology, VR system can greatly reduce the; number of polygons produced in real-time rendering procedure. Finally, we do experimental design work based on the methods and techniques presented by this paper.
Spatial Clustering Analysis of K-Means Algorithm in the Classification of Bank Card Customers
Authors: Lv Kang
Published: December 2014

K-means algorithm is a simple and efficient data mining clustering algorithm. For the current status of the bank card customer relationship management, based on data mining technology, design based on K-means clustering algorithm banking customer classification system. Data mining techniques can extract vast amounts of customer information data bank card implicit knowledge and spatial relationship model will represent the bank customers feature set of data objects automatically classified into each composed of clusters of similar objects, bank card customers in the banking system classification. This paper analyzes the existing spatial clustering methods summary and conclusion, based on the combined data bank card customers, according to the volatility of funds used to different customer groups, the use of K-means analysis to study characteristics of client groups, providing appropriate financial services.
Research on Spectral Clustering
Authors: Fu Li Li , Liu Yong Li , Hao Li Jing
Published: December 2014

Spectral clustering algorithm is a kind of clustering algorithm based on spectral graph theory. As spectral clustering has deep theoretical foundation as well as the advantage in dealing with non-convex distribution, it has received much attention in machine learning and data mining areas. The algorithm is easy to implement, and outperforms traditional clustering algorithms such as K-means algorithm. This paper aims to give some intuitions on spectral clustering. We describe different graph partition criteria, the definition of spectral clustering, and clustering steps, etc. Finally, in order to solve the disadvantage of spectral clustering, some improvements are introduced briefly.
Feature Selection and Optimization of Random Forest Modeling
Authors: Zhu Min , Xia Jing , Yan Mo Lei , Zhang Sheng Yu , Cai Guo Long , Yan Jing , Ning Gang Min
Published: December 2014

Traditional random forest algorithm is difficult to achieve very good effect for the classification of small sample data set. Because in the process of repeated random selection, selection sample is little, resulting in trees with very small degree of difference, which floods right decisions, makes bigger generalization error of the model, and the predict rate is reduced. For the sample size of sepsis cases data, this paper adopts for parameters used in random forest modeling interval division choice; divide feature interval into high correlation and uncertain correlation intervals; select data from two intervals respectively for modeling. Eventually reduce model generalization error, and improve accuracy of prediction.
Intelligent Subject and Knowledge Retrieval Algorithm Based on Ontology
Authors: Liang Ting Ting
Published: December 2014

For the problems of obscure demand of users, insufficiency and difficulty in correct acquisition in the process of knowledge retrieval, this paper combines with basic theory of interactive genetic algorithm to discuss its application model in the process of requirement and acquisition of knowledge retrieval. And then, it uses the interactive information produced in the retrieval process to make improvement on matching method based on concept map. It uses the interactive information produced in the retrieval process to calculate weight of users to search concept, which enhances the knowledge matching efficiency of concept map. Through test, it compares that intelligent knowledge retrieval system based on ontology has double advantages with high intelligence and efficiency.
Optimal Solution for Hyper-Sphere Integral Classification Process of Big Data
Authors: Zhang Zhi Liang
Published: December 2014

This paper mainly discusses the optimal solution for hyper-sphere integral classification process of big data. The paper proposes an optimal calculation method for the target problem. Through statistics and analysis of big data, we get the constraint condition, and calculate a maximum value of data characteristic. Then, by the dual programming of Quadratic Programming, we obtain the optimal classification function for hyper-sphere integral classification process of big data. The experiment results show that the proposed algorithm can significantly improve the accuracy of the classification hyper-sphere integral for big data.
Key Data Optimization Mining in Massive Student Database Model
Authors: Wang Zhen Chao
Published: December 2014

In the process of massive student data mining using traditional method, special words and related characteristics were used as mining objects. The concealment and feature of deliberately camouflaged of information made it is difficult for mining model to form an effective cluster centers, which reduced the accuracy of information mining. Hence an optimized data mining method was proposed. According to the degree of generalization and fuzziness of the feature words of student, the threshold of mining information was set, which avoided the effects of redundant information, thus the efficiency of mining was improved. The experimental results showed that using the improved algorithm to perform information mining in massive student database could effectively improve mining efficiency.
The Subspaces Cover of Linear Space
Authors: Lv Lin Lin
Published: December 2014

This paper mainly discusses the problem that linear space is covered by its subspaces, which is a difficult part in related books. We used the cardinality of infinite set to reveal the subspaces cover, proposed the concept of minimal cover, and analyzed the minimal cover of finite dimensional linear space.
Missing Data Clustering Based on Incomplete Information System
Authors: Leng Yong Lin
Published: December 2014

With the development of information technology and data collection capabilities improve, the amount of data accumulated increase, missing data problems are more and more obvious. Traditional clustering methods can not cluster data set which contained missing data directly. In this paper, we proposed a novel missing data measurement method based on the incomplete information system theory and designed the similarity measure criterion for the discrete and successive of attributes separately. The experiment uses K-means clustering to test algorithm accuracy from different missing data rate and different amount of data two aspects, results demonstrate that the method can cluster missing data set efficiently and accurately.
Design and Implementation of Excel VBA-Based Combination Charts in Analyzing Mineral Resources Data
Authors: Du Rui Qing , Mu Jing Qin , Li Xiao Hui , Zhang Xue Long
Published: December 2014

In Mineral resource economics, a large amount of data stored in Excel files usually need to be shown in various charts for analyzing. Excel VBA provides a fast and easy way to create charts. This paper illustrates how to create batched combination charts of several mineral resources and their annual increments based on Excel VBA. Every step of creating process is illustrated in details and the Excel VBA codes are analyzed carefully. And the resulting combination charts are displayed to emphasize the different chart types and to prove the effectiveness of Excel VBA.
The Application of Structural Equation Modeling in the Applied Linguistics Research
Authors: Geng Wei Feng
Published: December 2014

Structural equation model is the only statistical methods that can simultaneously do comprehensive examination about the relationships between the multi-dimensional variables. It has broad application prospects in the field of applied linguistics. In this paper, combined with the applied linguistics article that choose structural equation modeling as the technique on academic journals over the past decades, then discussing the differences in domestic and foreign researchers from both content and form, after comparison and analysis, putting forward the suggestions for the application of SEM in our domestic applied linguistics.
Study of Optimal Decision Model Based on BN
Authors: Ge Shun , Xia Xue Zhi
Published: December 2014

Aiming at the optimal decision problem of multi factors, model is proposed of establishing BN with cause-and-effect relationships, constructing evaluation function with multi factors by decision objectives, finally comparing and selecting the optimal solution of evaluation function from all possible decisions. The model inherits the ability of numerical reasoning and can analyze multi factors. Example illuminates procedures of the model in the paper.
A Novel Hybrid Optimization Algorithm of Pattern Search and IWO
Authors: Xiao Hui Hui
Published: December 2014

Invasive weed optimization algorithm is a new swarm intelligence algorithm recently. The algorithm has better robustness and adaptation, which is a very good intelligent optimization tools; but it is easy to fall into local optimization, and having the low speed of convergence, and it can not acquire exactly. Aiming at the shortcomings of the algorithm, taking advantage of pattern search excellent local search ability, this paper presents a novel hybrid optimization algorithm of pattern search algorithm and IWO optimization. The Simulation results of three standard benchmark functions show that the improved algorithm can greatly improve the convergence precision and convergence speed, and can effectively discourage the premature convergence.
Research on Modification Algorithm of Cubic B-Spline Curve Interpolation Technology
Authors: Zhang Wan Jun , Zhang Feng , Zhao Jun Hai
Published: December 2014

Based on cubic B-Spline curve mathematical properties, theoretical analysis the cubic B-Spline curve recursive formula of Taylor development of first-order, derivation of two order in the interpolation cycle under the condition of certain interpolation increment only and interpolation speed, change the interpolation increments can be amended cubic times B-Spline curves purpose The simulation results show that meet the high-speed and high-accuracy NC machine tool require-ments of CNC systems.
The Growth of a Cosine Function Characterized by its Cogenerator
Authors: Cang Ding Bang
Published: December 2014

In terms of cogenerator and rsolvent of cosine functions,the contractivity and boundedness of cosine functions were characterized.
A Web Service Composition Algorithm Based on Graph Search and Semantic Web
Authors: Hao Liang Liang
Published: December 2014

With the Development of web service technology, a single web service cannot fulfill different users’ diverse requirements. Adding semantic information to the input-output message of web services provides us a method to implement web service composition automatically. After researching on existing algorithms for web service composition, this article proposed a QoS-oriented web service composition algorithm based on graph search with semantic information.
Fuzzy Maximum Independent Set Problem of Graphic
Authors: Luo Dong Ling , Wang Chen Yin , Yi Yang , Zhang Dong Ling , Zhou Xiao Cong
Published: December 2014

Edge covering problem, dominating set problem, and independent set problem are classic problems in graph theory except for vertex covering problem. In this paper, we study the maximum independent set problem under fuzzy uncertainty environments, which aims to search for the independent set with maximum value in a graph. First, credibility theory is introduced to describe the fuzzy variable. Three decision models are performed based on the credibility theory. A hybrid intelligence algorithm which integrates genetic algorithm and fuzzy simulation is proposed due to the unavailability of traditional algorithm. Finally, numerical experiments are performed to prove the efficiency of the fuzzy decision modes and the hybrid intelligence algorithm.
A Control Method for Load Balance between Upper and Lower Roll of Four-High Hot Rolling Mill
Authors: Fan Li Ping , Liu Yi
Published: December 2014

In the rolling process, the upper and lower working rolls of the mill usually under different load. In order to keep good product quality, load balance control is necessary. This paper proposes a control method which uses the torque difference between upper and lower roll to compensate the given current of the upper roll motor. Simulation results show that the proposed control method can give good control effect and keep load balance.
Research and Application of Network Aided Translation Method
Authors: Wang Shuang
Published: December 2014

The paper put forward a new aided translation's pattern, Bilingual Assisted Translation Search Engine. It's different from traditional machine translation, does not rely on the computer's automatic translation, but according to relevant translation list given by system, and get the correct translation by people. Compared with automatic translation machine, it has better quality; compared with artificial translation, it has more efficient. For users, the relevant translation we provide more accurate and matching unless there is a large corpus, so the core of the system is the construction of the bilingual corpus. The paper adopted the method of web data mining and search engine technology, completed the construction of large-scale corpus automatically.
Design and Implement of Chinese Medicine System Based on Machine Translation
Authors: Chen Xin Xin
Published: December 2014

This paper mainly studied how to inject the project team management into the collaborative translation tools based on the cloud platform, so as to better coordinate the relationship between different translators and translation project, and the aided translation input method will be introduced to collaborative translation platform, as a bridge between the translator and the collaborative translation platform, to effectively improve the efficiency of different translators. At the same time we realize the terms detection and recognition system and translation memory system, to not only improve the efficiency of different translators, but also can solve the problem that translation content repetition and lack of communication between different translators.
Research on Security Architecture Based on Web Service System
Authors: Liu Yao Qin
Published: December 2014

Web service is a distributed Web application model, with platform independence, openness, loose coupling and other features. These features bring convenience to application integration, which also faces many security issues, mainly for computer hardware, applications, buffer overflows, message transmission process and other security threats. XML Web services architecture strengthen the security threats defense through digital signatures, encryption, and a series of measures of WS-Security by the sender, the receiver, the key server and assertion server which consist of SOAP security with characteristics like integrity, confidentiality, etc., effectively guaranteeing the safe operation of the Web services architecture.
Research on Web of Things Service Environment Architecture and Key Technologies
Authors: Xia Yong , Zhen Xin Yu
Published: December 2014

The wide application of the technology of the Internet of things has promoted the information society and improved the efficiency of our lives. But the heterogeneity of the strong coupling expansion of capacity and poor, high and networking equipment and application platform fragmentation made the matter long development cycle and a higher threshold status networking appear. In response to these problems, the article studies on the architecture and key technologies of web of things and designs the architecture of WoTSE model.
Research on the Prevention System Models and Defense Process of Network Cultural Safety
Authors: Xue Yan
Published: December 2014

In recent years, as a cultural carrier, the network has expanded rapidly in China. "Cultural safety" issue has become a major problem in the process of China's cultural reform and cultural industry development, and it has caused the government sector as well as academic attention. From technical, legal, cultural environment of network management, increasing awareness, and other levels, combined static and dynamic passive defense, active defense aspects, this article innovatively combined a variety of network safety defense sub-culture system and proposed a network culture safety active prevention system.
Research on Construction of Smart Tourism Perception System and Management Platform
Authors: Wang Ning
Published: December 2014

Smart tourism is a new concept focus on the tourism experience promotion. It is necessary to improve tourist experience using smart technologies, so that more efficient and appropriate measures can be taken and make a contribution to tourism experience promotion. In this paper, smarter tourism comes to be known with the deepening of the influence of information technology. In order to realize the intensification,intellectualization and unionization of tourism management, a smarter tourism perception system must be constructed on the base of cloud computing and the Internet of things so that standard information service is available to tourists, businesses and governments via its safe and online communicative functions. Smarter tourism perception system can connect travel attractions, hotels, transportation and other facilities tourist destinations of things completely to the Internet system and integration, data integration as the core database of tourism resources, which provide a more convenient means of destination tourism management and services.
Virtual Clustered MAC Layer Protocol Design of a Wireless Sensor Network: ES-MAC
Authors: Zhuang Yong Long , Weng Xiao Lan , Wei Xiang He
Published: December 2014

Sensor-MAC (S-MAC), one kind of use common type activities / sleep cycle wireless sensor network MAC layer protocol, we propose a strengthening type Enhanced S-MAC, called ES-MAC, and part of its application in wireless sensor networks than the outer layer of low traffic. ES-MAC is divided into three stages: the first stage is to create a virtual cluster region and preset transmission path; third stage of data transfer; second stage of data collection and sorting. Sensing node virtual cluster in the region, competitive manner using micro slot (Mini-Slot) determine the order of data transmission. In the data transfer phase has been established using the sequential transfer of data, the sense node in order to reduce the unnecessary and excessive collision monitoring, sleep time, and the growth of nodes. Simulation results show that, ES-MAC under different flow and different cycles, compared with S-MAC has lower average packet delay time.
GIS System of Crops Distribution and Services for Farmers
Authors: Liu Hong Yu , Ye Kai Xi
Published: December 2014

In this paper, based on the needs of farmers, based on the survey results, the design and development of crops for farmers and support services distributed GIS information system, the system includes a human-computer interaction layer, data layer, functional layer and the presentation layer, assisted farmers to achieve through names, coordinates other search methods to find the point where their own land, as well as other farmers and home-grown crops similar distribution information. This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications. The best is to read these instructions and follow the outline of this text.
An Adaptive MAC Protocol for Mobile Wireless Sensor Networks
Authors: Lv Ning , Chen Chen , Yin Ting Rui
Published: December 2014

In this paper we propose an adaptive MAC Protocol for WSN with mobile nodes, namely RM-MAC (RSSI-Based Mobility Support MAC).The protocol at first uses RSSI to quantify the nodes’ receiving range for the creating of a list of neighboring nodes. Then, it adopts Kalman filter model to predetermine the mobile nodes’ position after a certain period of time. Finally, by referring to the RSSI values and the predetermine position vector, it builds an adaptive model to coordinate dynamically the synchronizing cycle within the virtual clusters so that the clusters can maintain a high connectivity with the mobile nodes. Simulation results shows that compared with S-MAC, RM-MAC can obtain a higher network connectivity and delivery ratio by dynamically coordinating the synchronizing frequency at the cost of some energy. Furthermore, we find that the delivery ratio has close relationship with the quantification level and the cluster switch thresholds.
Security Authentication Scheme Research for Wireless Sensor Networks
Authors: Chen Yuan , Ye Qing
Published: December 2014

Existing security authentication schemes are mostly concentrated on the key management and cryptographic algorithms. However, there are few authentication schemes designed according to the application needs. To solve this problem, considering the limited resource of wireless sensor networks and the practical application, a partially distributed authentication scheme is proposed. We use hierarchical network structure. Centralized authentication is used between the base station and cluster head nodes, while cluster head node and ordinary nodes use a distributed authentication. Analysis shows that this method has some advantages in the overhead of the storage, computing and communication, while network security can be guaranteed.
Application of Computer Database System in Information Management
Authors: Hu Kai
Published: December 2014

This paper analyzes the application of computer database system in information management and proposes the related countermeasure describes. With the continuous development of society, the application of network technology in people's lives is more and more widely, information management are implemented in various enterprises, and computer network is used for data collection and collation.
Design and Implement of Financial Management System for Small and Medium Enterprises
Authors: Xu Jie
Published: December 2014

In this dissertation summarizes the current SME financial managexrient problems, followed by some medium-sized financial management software is how to design a careful analysis, and finally developed a financial software suitable for small and medium enterprises. We manage small and medium enterprises according to its internal financial requirements, summarizes the relatively objective conclusion that today's small and medium enterprises in financial management messy. So for this reason, when we conduct software development, primarily on the financial condition and management needs of small and medium enterprises to analyze the characteristics and design accordingly. This dissertation describes the features of the system, and the overall classification and structural design system module, determines the overall design the principles and objectives; Will this system generally divided into five modules, system establishment, management accounting vouchers, account books final bill and generate reports and so on several big core function. The realization of the system using Microsoft NET platform in c# programming language and SQL Server 2005 database. System test shows that, the system realized the more accurate collection and calculation, can to the enterprise financial situation of centralized management and simplify the interface, more easy to operation, related to the human, material and financial resources also get more accurate monitoring.
Research on the Key Technologies of SaaS Information Security
Authors: Li Biao , Zhang Huan Guo , Fang Yun Liang
Published: December 2014

Saas is an abbreviation for Software-as-a-service, it is a completely innovative software application mode provided via Internet. As a new IT service model, SaaS has two sides. This article focuses on analysis the existent security risks of SaaS and put forward a series of countermeasures and suggestions to address these issues from the technical aspects.
Design and Implementation of Automobile Industry Cluster Information Service System Based on GIS
Authors: Weng Ying Ying
Published: December 2014

According to the automobile industry cluster situation at present, the paper introduces the method and train of thought of automobile industry cluster based on GIS from demand analysis, data base design, function design and so on. Also demonstration analysis in one automobile industry cluster. In construction, use client layer, web layer, business logic layer and data layer to design the system architecture. It improved the system maintenance performance, used Oracle and ArcSDE to access space data and attribute data, and mass data storage management. Research results maybe give some significance reference for design and implementation of automobile industry cluster.
Research on Security Issues Based on Campus CAN LAN
Authors: Dong Yu , Guo Jun Hua
Published: December 2014

With the rapid expansion of the rapid development of computer network technology and network coverage, campus network security issues are increasingly complex and outstanding looks up. In this paper, we have the analysis of the campus CAN security situation, put forward the principle of network security policy-making process to be followed, clearly a number of network security policy are also pointed out to build a more complete network security solution ideas. For the current campus CAN security issues, we discuss the principles and methods of the CAN network design process involved in the security system, and propose specific means for the campus CAN technology features. Meanwhile, we have researched and explored the characteristics and design of school network management, combined with the existence of the campus local area network insecurity, indicated security needs of the campus network, and to developed appropriate the security policy of campus network.
The Application of Wavelet Neural Network in Prediction of the Fish Price
Authors: Li Hong Wei , Gao Xiao Xiang , Cheng Ke Jun
Published: December 2014

The market fish price is an important factor that affects the income of fishermen, so how to accurately analyze and predict the fish pricet o obtain huge profits has caught people's attention. As science advances, various price forecasting and analysis methods have come into being. How to build a prediction theories and models with relatively high success rate has been the study of many scholars over the years. With the development of artificial intelligence, neural networks have become an important tool of predicting and analyzing changes in market prices. Neural networks are important artificial intelligence technology, which have simple structures, but are able to solve complicated problems. They have strong applicability in predicting the mature index fluctuations in a short period. This paper considers some shortcomings and deficiencies the BP network prototype, which tries to use the wavelet Functions to replace the excitation function in the traditional BP algorithm on the basis of a network of neurons and then forms into WNN. We can verify the feasibility of WNN by perch price forecasts, and then this method is used in price forecasts of the three main fish of the Ulungur Lake Aquatic, to provide the basis for the aquatic base decision
Research on the Design and Realization of Supervision and Business Management Information System
Authors: He Xiao Hang , Zhang Yan Ge
Published: December 2014

The information system of construction market supervision and business management based on Web includes three subsystems, which are construction market supervision, management of bid and tender for construction project, and application of construction project and this thesis adopts the combinative method of prototyping and structured life cycle to develop and study on the information system. First, it integrally plans and lies out by adopted structured method. Then, it analyzes the mode and content of construction supervision, and the flow of construction business and construction project application, gives the prototyping system of them. Then it considers the requirement and function demand of the users, improves the prototyping system, establishes a scientific flow, and analyzes its data flow. And then, it designs the integral structure of the system by adopted system structure based on Web, designs the network structure by adopted three layer B/S distributing system, and gives the detailed design of the code, database, input and output of the system. Finally, it gives the technical demand of the build of the integral network system, gives the demand of the software and hardware system structure, and displays the windows of the main function of the system.
Analysis of the Sports Network Information Dissemination Mechanism
Authors: Huang Ping
Published: December 2014

Fast communication network of media to meet the public demand. However, in the process of spreading the unfavorable factors has application of communication theory, standing in the angle of sociology and sports information dissemination in the network analysis of the problem. Results showed that, the cultural conflict and the loss of morality problems appeared in sports in the transmission of information. In the face of network trust crisis, actively proposed solves the question way improve the social responsibility of network media.
Design and Development of Computer Network Virtual Experiment System Architecture
Authors: Qin Yuan
Published: December 2014

With the continuous development of computer and network technology, network virtual laboratory has gained increasing popularity. This paper mainly introduces the basic characteristics and its architecture, four kinds of key technology for the realization of virtual laboratory: Java, ActiveX, VRML, ASP, and finally discusses some problems that the virtual laboratory development process should pay attention to.
The Design and Implementation of E-Commerce Personalized Services Based on Collaborative Filtering Recommendation System
Authors: Han Meng
Published: December 2014

In this paper, in accordance with the need of e-commerce site management, constructing the logical model of the personalized recommendation system, and use filtering recommendation algorithm to design the personalized recommendation engine. It is necessary to provide certain reference value to improve the personalized recommendation efficiency of e-commerce sites.
Research on Dynamic Extension of Visual Communication of News Website Information
Authors: Zhou Jia Le
Published: December 2014

The modern visual communication design has experienced a transition from the industrial society to information society, expanding the scope of design, every time the media and changes in technology have given the new connotation. Interesting interactive new media art experience to inject vitality into the visual communication design, interactive visual communication design make the works as a starting point, to guide the audience participation, and interpret new information, which led to the integrity of the information communication. New media art is the "one" and media art, between art and technology, with the development of science and technology continue to spread content and form their own. The interactive nature of the interesting experience and high-tech magic of visual communication design works blur the media art and visual communication design limits, expand and deepen the field of visual communication design.
Study on Thermal Power Plant Safety Evaluation Based on BP Neural Network
Authors: Wang Chao , Lian Ying Jie
Published: December 2014

Electric power industry is a basic industry of national economy, the power plant production safety related to people's life safety and property of the state, the power of reform and social stability, safety evaluation of power generation enterprises is an important guarantee of safety production in power generation enterprises.The paper establishes the BP neural network model, utilize BP neural network optimization ability and good fitting ability, combining the index system build, carries on the appraisal to the power generation enterprise security.Now the instance verification results show that BP neural network is applied in safety evaluation of power generation enterprises, not only can accurately evaluate the safety situation of power generation enterprises, and the speed of convergence process is quickly.