bluuebunny/crossref_metadata_2025 huggingface dataset:
Research of Improved Attribute Reduction Algorithm Based on Data Mining of Rough Set
Authors: An De Zhi , Wu Guang Li , Lu Jun
Published: September 2014

At present there are many data mining methods. This paper studies the application of rough set method in data mining, mainly on the application of attribute reduction algorithm based on rough set in the data mining rules extraction stage. Rough set in data mining is often used for reduction of knowledge, and thus for the rule extraction. Attribute reduction is one of the core research contents of rough set theory. In this paper, the traditional attribute reduction algorithm based on rough sets is studied and improved, and for large data sets of data mining, a new attribute reduction algorithm is proposed.
Research on the High-Speed Railway Energy-Saving Operation Strategy Based on Heuristic Algorithm
Authors: Wang Tao , Chen Feng , Zhang Qi
Published: September 2014

High-speed Railway Energy-saving Operation is a NP complete problem and it’s difficult to seek the optimal solution by tradition method. In this paper, considering the influence braking utilization to train operation, we established a high-speed railway minimum energy cost model, in which the optimization objective are maximizing the Interval efficiency and minimizing the total energy consumption. Then the model is solved by heuristic algorithm and the operation strategies are gotten. The simulation experiment result showed that when the braking utilization is equal to 0, the energy will be largely saved if the operation time is increased slightly; with the increasing of braking utilization, the percentage of saved energy will decrease correspondingly. So, the high-speed railway energy-saving operation strategy based on heuristic algorithm performed well.
An Improved Novel Global Harmony Search Algorithm
Authors: Kong Zhi , Zhang Guo Dong , Wang Li Fu
Published: September 2014

This paper develops an improved novel global harmony search (INGHS) algorithm for solving optimization problems. INGHS employs a novel method for generating new solution vectors that enhances accuracy and convergence rate of novel global harmony search (NGHS) algorithm. Simulations for five benchmark test functions show that INGHS possesses better ability to find the global optimum than that of harmony search (HS) algorithm. Compared with NGHS and HS, INGHS is better in terms of robustness and efficiency.
Normal Parameter Reduction in Soft Set Based on Harmony Search Algorithm
Authors: Kong Zhi , Zhang Guo Dong , Wang Li Fu
Published: September 2014

The normal parameter reduction in soft set is difficult to application in data mining because of great calculation quantity. In this paper, the intelligent optimization algorithm, the harmony search algorithm, is applied to solve the problem. The normal parameter reduction model is constructed and the harmony search algorithm is designed. Experience has shown that the method is feasible and fast..
A Defogging Algorithm Based on Statistical Region Merging
Authors: Xu Zhi Yuan , Wang Yong Kai , Su Xiao Hong , Liu Yi
Published: September 2014

Different regions in Foggy images have different contrast attenuations. This paper presented a defogging algorithm based on Statistical Region Merging. Firstly, we segmented the image by Mean Shift; Secondly, we merged these divided regions through Statistical Region Merging; Finally, we enhanced the contrast of different regions by Dynamic Segmentation Histogram Equalization contrast enhancement. The experimental results show that our defogging method is more effective than other methods.
The Application of Data Mining Technology in the Customer Churn Prewarning
Authors: Zhen Li Chang , Gao Xin , Wang Yi Ming , Gao Yong Chun
Published: September 2014

With the further reform and market division in the telecommunication industry, there are more and more choices for customers to select telecom products and operators, which lead to the fiercer competition for customers between telecom operators. As the technical method to identify customers churn, the data mining can help the telecom competitors to analyze some seemingly unrelated data into meaningful information. On the basis of the research on the vital problems in the telecom companies, this paper explains how to apply data mining techniques to customer churn analysis, proposes the specific procedures and technology solutions to prevent the customer churn and builds the models of the data mining by analyzing the related algorithm. Finally, based on the systematical analysis on theory and method to data mining, the paper draws the conclusion that the customers churn listing and tree algorithm can solve the practical problems of the customer churn in telecommunication industry.
The Application of DES Encryption and Decryption Algorithm in the STS Protocol
Authors: Liu Dong Qi , Liu Wei , Xu Jing
Published: September 2014

The essay is included as following: Standard Transfer Specification, DES algorithm, human program design, the characteristic of DES algorithm, the safety of DES algorithm and 3DES algorithm. Analyzing DES encryption and decryption algorithm results, we could well know the characteristic of DES algorithm. This algorithm is successfully tested on VC++ 6.0.
An Improved Grid Search Algorithm for Parameters Optimization on SVM
Authors: Liu Chao , Yin Shi Qun , Zhang Miao , Zeng Yi , Liu Jiang Yue
Published: September 2014

The algorithm in this paper is based on the basic principle of SVM. The sale data classification SVM classifier is designed using this algorithm. Also three classifiers including traditional grid search algorithm, ZGenetic Algorithm and Particle Swarm Optimization are used to do the comparison experiments of classification. Result shows that the improved grid-search algorithm can reduce the SVM classifier’s computational complexity effectively and improve its performance and classification accuracy.
Adaptive Algorithm for Determination of Optimal Wavelet Decomposition Level Based on Jarque-Bera Test
Authors: Liu Yuan Hong , Zeng Ming , Zhang Yan Sheng
Published: September 2014

Additive Gauss white noise is one of the most commonly observed interferences in practical engineering applications. This paper proposed an algorithm for the adaptive determination of the optimal wavelet decomposition level based on Jarque-Bera test in efforts to solve the filtering problem of additive white Gaussian noise signal. By, The optimal decomposition level of wavelet is determined by testing the white noise which was realized by calculating skewness (S) and kurtosis (K) of the parameters. With signal-to-noise ratio (SNR) as the measurement index, simulation results show that the presented algorithm have higher accuracy, and better filtering effect on low SNR signals compared with nonparametric test methods.
Research of MPC Method on Preventing PIOs and Comparison with other Methods
Authors: Liang Xue Hui , Wang Tian
Published: September 2014

In modern pilot-aircraft closed-loop system, the presence of actuator rate limiting is a key feature of the phenomenon of PIO. In this paper, the MPC controller is applied to the closed-loop system and compared with SAAB and DASA compensation schemes which were proposed in other articles. Appropriate models of pilot and aircraft are selected to do the simulation, the results show that the effect of each method on preventing PIO is different, especially the MPC controller is better than others slightly.
Design of Household Heat Metering Management System Based on Cloud Computing
Authors: Jing Tian , Liu Xiao Guo
Published: September 2014

In order to meet the large-scale promotion of household heat metering in north China and respond positively the call of the national “Twelfth Five Year” plan for energy-saving and emission-reduction,the design combines the advantage of the cloud computing and cloud software and presents the overall structure of management system based on the cloud computing. Then, the paper focuses on the design of upper computer software and database[1], The upper computer software consists of two parts,one is automatic meter reading software,which is communicated with every collectors by GPRS; the other is cloud software, The cloud software improves the current heat management system by combining the smart home service concept and provides personalized services for many heating companies and vast number of families[2].
A New Delegation Provable Data Possession in Public Cloud Storage
Authors: Li Bin , Cao Chen Lei , Liu Jian Yi , Wei Jin Xia
Published: September 2014

Though Cloud storage has developed rapidly in recent years, there still exist some problems obviously. Provable Data Possession (PDP) is proposed to solve the problem of data integrity verification at untrusted cloud stores. This study built a new delegation Provable Data Possession (delegation-PDP), which solves problem when the client has no ability to check its remote data. We study the delegation-PDP and use proxy re-encryption to design it. Then we use the improved Elgamal-based algorithm to implement the scheme. Through security analysis and performance analysis, our protocol is provable secure and efficient.
Analysis on Scheduling Algorithms of Real-Time Hybrid Tasks
Authors: Wu Jian Lang , Shi Jing Kai , Wang Yi Bin
Published: September 2014

In real-time systems, periodic tasks and aperiodic tasks exist simultaneously. In a uniprocessor system, mainly there are Deferrable Server algorithm (DS) [1], Slack Stealing algorithm (SSA) [2] and their extended version for software/hardware hybrid real-time task scheduling. DS algorithm sets a high priority periodic task server to provide services for aperiodic tasks, while SSA algorithm computes tasks unoccupied time offline, and then schedule aperiodic tasks during the unoccupied period. The two algorithms are both proposed for soft real-time tasks, reducing the response time of the real-time tasks, but cannot guarantee that these aperiodic real-time tasks received can meet deadlines. In this paper, through combination of DS algorithm and EDF (Earliest Deadline First) algorithm [6], a new algorithm called DS-EDF is introduced, which can scheduling hard real-time aperiodic tasks on the DS server. This algorithm is not only suitable for uniprocessor systems, but also has the ability to extend to multiprocessor systems.
Artificial Society-Oriented Large-Scale Road Path Querying Methods
Authors: Sheng Kai , Li Zhen , Song Zhi Chao , Duan Hong
Published: September 2014

In artificial society simulation, each artificial population needs road path planning in the process of travel. However, because of the large amounts of populations in artificial society, road path planning will cost lots computational resources and time, thus this process has terrible efficiency to the performance of the simulation system. In order to solve this problem, this article firstly makes use of CPU to generate the artificial populations, travel logs, and construct the road network models; then computes the shortest road path between each two environments and load the results in RAM for prepare; lastly, sends the ID and its start point and destination of the population who need road path querying to GPU at current simulation time in the simulation process, and then takes advantages of GPU to query the road path and return the results back. In this way, we can obviously reduce the time costs in the process of road path querying and enormously improve the performance of the whole simulation system.
Approximation Analysis of Margin-Based Ranking Algorithm
Authors: Luo Jin
Published: September 2014

Ranking data points with respect to a given preference criterion is an example of a preference learning task. In this paper, we investigate the generalization performance of the regularized ranking algorithm associated with least square ranking loss in a reproducing kernel Hilbert space, and use the method of computing hold-out estimates for the proposed algorithm. Based on using the hold-out method, we obtain fast learning rate for this algorithm.
Research of the Emergence of Virtual Organizations Based on Cloud Computing Environment
Authors: Bai Xue , Kang Hong Wei , Chen Qing Yi , Sun Xing Ping , Shen Yong , Zhou Hua
Published: September 2014

In the cloud computing environment, resources of services encapsulation extend from initial computing resources to all other encapsulated social resources, such as manufacturing resources, financial resources, etc. Increasingly, services are reflecting the agent characteristics. This paper proposes that the cloud computing environment is a complex adaptive system of which the service is the service agent. With the emergence of its core, the model of interactions between service agents has been established by synthesizing theories and technologies of various disciplines like System Science, Economics, Management and Computer Science. By using the CAS theory as the technical route of cloud computing environment and its service agents, we can draw the conclusion that virtual organizations will spring up because of the combination of service agents.
Application of SIMD Technology in the Coherent Integration Accumulation Multiplication Optimization
Authors: Li Jie
Published: September 2014

In this paper, the problem of real-time software GPS receiver process faced propose a new SIMD instruction based on coherent integration accumulate operations program optimization methods. After using MMX instructions and pipeline optimization, complete the 1s coherent integration of data needed to calculate the cumulative 0.7s, computation using only 6.5% of the ordinary SISD instructions, real-time to achieve a strong guarantee pure software receiver.
Data Mining Technology Application Research for Oil Companies
Authors: Wang Mei Tian
Published: September 2014

Along with the development of petroleum enterprise information application system, the system of internal structure is increasingly complex. Oil companies involved in oilfield exploration and development data resources, management and operation of all aspects of each application level, is a complicated system engineering. To do well in the construction of data resources, it must be based on oil field exploration and development of process and production of the practical need of field management, comprehensive business operation each link of original data, makes the oil field enterprises gradually activate various data assets, the height of the realization of information sharing. And the data resources integration, mining, into a reliable and useful information, so that the leadership decision-making.
Review on Semantic Text Categorization
Authors: Xu Gui Xian , Li Chun Jie , Li Yong Ji , Ma Yue , Ma Xiao Lan , Qu Pei Zha Xi
Published: September 2014

Text classification has been a hot research in recent years. This text reviewed the history of text classification. It summarized some common classification methods and mainly introduced classification methods based on semantic. Especially, it elaborated the text classification based on ontology, the text classification based on similarity computation and the text classification based on latent semantic indexing.
Application Research on the Geographical Survey Spatial Database and its Key Technology
Authors: Gu Dong Juan
Published: September 2014

Spatial data is used to indicate the location, shape, size and its distribution information of the spatial entity in many respects. It can be used to describe the target from the real world, as it has the characteristics of position, qualitative and the relationship between time and space. Position refers to the known coordinates of space target is the only space location. Qualitative refers to the natural attributes of space target with which the location of target. Time refers to the space target which changes over time. Spatial relations are usually expressed using topological relations. Spatial data is a kind of point, line, face and entities such as the basic spatial data structure to represent the people rely on the data of the natural world. And the key technologies of the survey spatial database are the SQL technology, the arcSED technology, storage and indexing.
A Method of Multi-View Images 3D Restructuring of Discrete Line Segments
Authors: Lin Xiao Bo
Published: September 2014

In this paper, the average reprojection geometrical errors on all images of a spatial straight line is taken as the restructuring and optimization target function to ensure the optimal result to be acquired; a spatial straight line is expressed by use of the Plücker coordinates for the proposal of the analytical method of correcting the double linear restriction on the Plücker coordinates of noise-included spatial straight lines; during the optimization process, to ensure parameters that meet double linear restriction, the iteration renewal process is expressed by at least 4 parameters, to increase the precision of restructuring results. Experiments results derived from simulation data and real images have all demonstrated the high efficiency and precision of the algorithm proposed in this paper.
Research on Vehicle Networking Clustering Routing Algorithm Based on Subtractive Clustering
Authors: Yu Li Zhe , Ren Tiao Juan , Wang Zhang Quan , Liu Ban Teng
Published: September 2014

Vehicle networking is an important part of intelligent traffic system. It combines wireless sensor network and mobile autonomous network, which is better for drivers to obtain road condition information to ensure driving safety. This paper focuses on the analysis of subtractive clustering and proposed clustering routing algorithm based on subtractive clustering in order to reduce communication of wireless sensor network and redundant flooding and routing expanse. In the algorithm, cluster head selection adopts subtractive clustering to produce cluster node in node intensive place. Cluster forms by adopting current non cluster head node mechanism which reduced energy consumption. Then the maintenance method of cluster is proposed. At last, it introduces routing protocol of cluster which is easier for clustering structure to manage and synchronize network.
Research on Equipment Maintenance Support Information Modeling
Authors: Xie Feng , Sun Jiang Sheng
Published: September 2014

For meeting the needs of equipment maintenance support, all kinds of maintenance support data are widely used and studied. By analyzing these data, information models are put forward. XML is used to describe the models. The information models built by XML have good maintainability and portability. The unified information models will play an important role in data exchange in equipment maintenance support areas.
A New Method for Reproducing Oil Paintings Based on 3D Printing
Authors: Chen Chen , Chen Guang Xue , Yu Zhao Hui , Wang Zhao Hui
Published: September 2014

This work aims at presenting a new method for reproducing oil paintings via 3D printing. We used a laser scanner to detect the surface morphology of an oil painting and found it was capable to print the stereo brushstrokes through layered printing after analyzing the UV ink thickness of type UJF-3024 ink-jet printer. Base on the 3D model we established, a slicing strategy was proposed for 3D printing. An experiment was conducted to validate feasibility of the method. Ultimately, the method has proven to be comparatively effective.
Research on Optimization Technologies in Passenger Evacuation
Authors: Li Zi Qing , Song Rui , Li Zhi Jie
Published: September 2014

Aiming at the insufficient passenger evacuation ability of Xizhimen subway station, related facilities are improved and optimized combining pedestrian characteristics with calculation methods of evacuation time and dynamical model, at the same time Matlab and other related technologies are used. The results indicate that the improvement of passenger evacuation on existing lines can shorten evacuation time and increase the service level of Xizhimen subway station.
Error Analysis of Neural Network with Rational Spline Weight Function
Authors: Zhang Dai Yuan , Wang Jia Kai
Published: September 2014

Training neural network by spline weight function (SWF) has overcomed many defects of traditional neural networks (such as local minima, slow convergence and so on). It becomes more important because of its simply topological structure, fast learning speed and high accuracy. To generalize the SWF algorithm, this paper introduces a kind of rational spline weight function neural network and analyzes the performance of approximation for this neural network.
Generalized Set Theories Applied in Uncertain Information Processing
Authors: Yang Qing Bo , Zhou Jian Long
Published: September 2014

Uncertain factors in information bring us serious challenges. In order to apply information effectively, many researchers are committed to the research on uncertain information processing. Generalized set theories are widely used in the research. Several kinds of theories such as Fuzzy sets, Intuitionistic fuzzy sets, Vague sets, Rough sets and Extension sets are introduced in this paper. And a comparation and analysis of them is given in the following.
Mechanism Synthesis of a Transformable Wheel-Legged Robot
Authors: Tian Hai Bo , Fang Zong De , Li Ai Min
Published: September 2014

Based on synthesizing the robot’s chassis mechanism,a transformable chassis is presented to adapt to the conflictive requirements of complex fields. A transformable wheel-legged robot has been designed with the applied chassis. As a variable topology mechanism, the robot has many changeable configurations. Finally the structure implementation of the robot was discussed.
Research on Information Management System of Equipment Based on Information Theory
Authors: Wang Feng Qin , Liu Yu , Zhang Zheng Xia
Published: September 2014

Information theory and information methods are first introduced. And then information methods are applied into information management system of equipment, which can show relation and character of management processes, and provide scientific support for information management system. Finally, information entropy is used for measurement of information capacity, which can achieve rational and economic equipment management plan.
Simulation Research on Angle Sensor by Ansys Finite Element Analysis
Authors: Wu Xiao Qing , Wang Xu Li , Xue Ji Ming , Zheng Ying Qiang
Published: September 2014

Based on the ansys finite element method, the ring’s strain of a high precision angle sensor was analysed. The method which translates the rotation of the sensor ring into the rotation of the direction of gravity in ansys was used, and the rotation of the gravity direction was translated into the trigonometric function decomposition of gravity acceleration on the X axis and Z axis directions. The strain was measured at every degree from 0 to 90, and finally the curve graph between angle and strain was draw using matlab software.
Research on the Petri Nets Modeling Method of the Task-Oriented Spare Parts Support Process
Authors: Zhu Yu , Wang Tie Ning
Published: September 2014

In the view of the current support process of spare parts is not comprehensive enough, all aspects without linking with each other, the resources without being shared, spare parts with slow turnaround and high inventory levels, which results in low economic efficiency. Therefore, considering the modern information technology and network technology, the document research on the spare parts support process optimization, which is to make the process more scientific and reasonable, support resources more economical, and respond more sensitive, thereby increasing military and economic benefit of the spare parts support. By means of analyzing three major elements of the spare parts support process modeling including perception task, spare parts resources, business processes, and analysis of several major process modeling method, the document raise the modeling method of petri nets for the task-oriented spare parts support process.
Fractal Growing Network Models Related with the Internet of Things
Authors: Liu Xia , Yao Bing , Zhang Wan Jia , Chen Xiang En , Zhang Xiao Min
Published: September 2014

We focus on produce network models by constructive operations based on configurations in order to provide various network models for The Internet of Things (IoT) such that these models may be economic and strong in building real networks of IoT.
A Study on Overtaking Taffic Rules in Two-Lane System Based on Cellular Automaton Model
Authors: Lu Shuai
Published: September 2014

This paper studied three traffic rules under the situation of highway straight using the idea of cellular automata, and established the cellular automaton model of two-lane highway (situation of highway straight) for running but not allowing overtaking, the cellular automaton model of two-lane highway (situation of highway straight) for running on the right side and overtaking from the left side, and cellular automaton model of two-lane highway (situation of highway straight) for running on both sides and freely overtaking. This paper defines the concepts such as congestion probability, free passage probability, vehicles entering the highway probability, etc, in which, the congestion density is used to characterize the security of road traffic (the greater the congestion probability is, the less safety); free passage probability is used to evaluate the highway traffic capacity (the greater is the free passage probability, the better is the highway traffic capacity). Based on the simulation results, we can know about the two-lane freely overtaking rules have some effect in improving highway safety and traffic capacity.
The Optimization Scheme of Image Transmission on Remote Desktop Monitoring System
Authors: Yin Xiao Hu , Wang Xin Ru
Published: September 2014

The remote control system platform and the main function modules are studied and analyzed based on Android operating system. The problem of image transmission of remote control on Android equipment is solved by means of the analysis and comparison of several methods of screenshots and image compression, such as ImageIO compression and JPEGEncoder compression. Finally, we got the conclusion that the transmission efficiency can be increased by the screenshots with robot class and JPEGEncoder compression.
Manufacturing Process Quality Control and Analysis of the Turbocharger
Authors: Wang Shi Juan
Published: September 2014

The quality of the turbocharger is made up of parts material and the machining precision of parts and assembly precision, etc. Turbocharger manufacturing areas concentrated production and standardization is the foundation of product scale and diversification. Parts of standardized production is a key link in the process to ensure product quality. The relationship between the parts production enterprises is parallel relationship. Key parts machining and parts material is the main content of the core enterprise research. Sharing of technical information between enterprises and the market demand information. The core enterprise to assembly as the main mode of production. Parts machining accuracy control is done by manufacturing companies. The core enterprise in the processing of parts to participate in the inspection and supervision. Process control into the whole process of quality control.
Study on Ploughing Effect of Cutting Edge Scale Based on Inconel 718
Authors: Feng Ren Zhuan
Published: September 2014

Ploughing effect and cutting edge scale in process of inconel 718-cutting have been investigated. The influence of cutting edge increasing the Plowing effect and Lattice distortion, when the relationship between ploughing effect and cutting edge scale have been aggravate in inconel 718-cutting. The results show that the Plowing effect is influenced obviously by cutting edge scale. Ploughing effect is mainly related to flank and machined surface in their resistance to each other’s friction and the Lattice slip. However, it’s inadequate that the explanation of ploughing effect, which only adopts the Strain gradient effect. The new scale should be introduced with Strain gradient effect. The paper illustrate that the formed of chip reflected the ploughing effect with cutting edge scale.
Research on Neural Network Prediction of Power Transmission and Transformation Project Cost Based on GA-RBF and PSO-RBF
Authors: Niu Dong Xiao , Hua Fu Yu , Li Bing Jie , Fu Ming , Yu Xiao Yan , Liang Liang
Published: September 2014

This paper’s primary mission is to predict the cost of power transmission and transformation projects of a certain China’s province based on GA-RBF and PSO-RBF neural network. The projects’ data is divided into two main categories-power transformation projects and power line construction projects, with the cost per capacity (RMB/kVA) and cost per unit length (RMB/km) as the indicators of each category. After filtering out main influencing factors and initialization processing for the data, the obtained normalized data can be put into GA-RBF and PSO-RBF predicting model. The empirical analysis is carried on by Matlab. The prediction accuracy can be compared intuitively based on the output of neural network, and from the results we can conclude that GA-RBF is more precise than PSO-RBF when applied to project cost prediction.
L-Ary Based General Attacks on Permutation-Only Image/Video Ciphers
Authors: Ge Xin , Lu Bin , Zhang Xiao Yong , Ren Jie
Published: September 2014

For the recovery of an plaintext with different levels of values encrypted by permutation-only multimedia ciphers, a L-ary based chosen text construction method is first proposed in this paper. And plaintexts are created to reach the lower bound of the plaintext number required for chosen plaintext attacks which is given by Li et al. Then based on the created plaintexts, two attacks are proposed on permutation-only image/video ciphers. Finally the validity of the two attacks is proved by Proposition 2 and Proposition 3 respectively.
Service-Oriented Architecture of Distributed Telemetered Data Processing
Authors: Guo Li Bing , Zhou Jin Biao , Li Yong Gang , Zhou Lin Qi , Li Sheng Ping
Published: September 2014

This paper introduces the service-oriented architecture technology, and proposes the architecture model of Out-trajectory Data Processing in distributed environment. According to the demand and features of Ship-borne Out-trajectory Data Processing flow, it describes how to carry out cross-platform service integration by using the Service Bus Middleware, and provides a kind of typical distributed deployment strategy.
The Randomness of Colony Birth and Death
Authors: Hou Jun Fang , Huang Li Li
Published: September 2014

The "birth and death" process of colony is a kind of widely used model, especially in the field of biology, biological system engineering, population science, and so forth. The “birth and death” process of colony is complicated stochastic process, a Markovian process with the nature of Poisson. And it can be studied by the theory and method of Markovian decision programming.
Mandatory Lane Change Model and Time Delay under Traffic Emergency Incidents
Authors: Ren Zi Hui , Zhang Kai , Xue Li Xia , Gao Yue Lin
Published: September 2014

This paper proposed a kind of mandatory lane change model from the different three aspects. At the same time, it also researched the time delay of the vehicle under this situation and gave the reification of the time delay. The simulational results showed that the model was effectively and the analysis of the time delay was reasonable.
Tomato Prices Time Series Prediction Model Based on Wavelet Neural Network
Authors: Zhang Jian Hua , Kong Fan Tao , Wu Jian Zhai , Zhu Meng Shuai , Xu Ke , Liu Jia Jia
Published: September 2014

Accurate prediction of agricultural prices is beneficial to correctly guide the circulation of agricultural products and agricultural production and realize the equilibrium of supply and demand of agricultural area. On the basis of wavelet neural network, this paper, choosing tomato prices as study object, tomato retail price data from ten collection sites in Hebei province from January, 1st, 2013 to December, 30th, 2013 as samples, builds the tomato price time series prediction model to test price model. As the results show, model prediction error rate is less than 0.01, and the correlation (R2) of predicted value and actual value is 0.908, showing that the model could accurately predict tomatoes price movements. The establishment of the model will provide technical support for tomato market monitoring and early warning and references for related policies.
Path Tracking Control of Micro-Tracked Mobile Robot
Authors: Gao Jian , Zhang Shi Long
Published: September 2014

The positioning accuracy of tracked mobile robot is low because of sliding in steering process. Taking the micro-tracked mobile robot as the platform, the interface force between tracks and ground was analyzed, and the motor model, kinematic model and dynamic model were established further. A tracking error controller was built based on the tracking error equations, and the co-simulation of mechanical and control system was applied to predict the robot’s trajectory. That controller was applied on a small tracked mobile robot designed by the authors’ laboratory, and the path tracking experiments with and without obstacles had been done. The results show that the robot can accurately track the given path, whether there are obstacles or not.
Explore on Gas Compression Coefficient Nomogram and Mathematical Model
Authors: Zhai Jin Cheng
Published: September 2014

This paper designs the gas well bottom hole flowing pressure and well depth, directly checks gas compression coefficient nomograph, derives the corresponding mathematical model, and test its reliability in the design and test of drainage gas recovery on the basis of gas compression coefficient in different well depth via Katz gas compressibility chart.
Dynamic Simulation Research of Jaw Crusher with Multi-Joint Clearance
Authors: Bo Shao Jun , Wang Xiao , Ye Qing Huai
Published: September 2014

On the basis of dynamics simulation software ADAMS, we built dynamics models of jaw crusher with multi-joint clearance. Contrast the link’s displacement, velocity, acceleration and the contact force between deputy campaign elements of the single joint clearance with the double joint clearance. Because the coupling superimposed of the double joint clearance, the velocity, acceleration and contact force is more complex. The whole is greater than the consideration of only a single joint clearance .But in some short period of time, there will be an acceleration that the contact force of the double joint clearance less than the single joint clearance. The dynamic characteristics analysis of multi-joint clearance is closer to the actual work of crusher.It can provide a theoretical basis for the control and optimization of the jaw crusher .
Security Issues in Underwater Sensor Networks: Attacks and Defenses
Authors: Liu Ling Feng , Ma Mao De
Published: September 2014

Underwater Sensor Network (UWSN) is a powerful technique for aquatic applications. Although the international researches on this topic are quite prosperous, it is still in its early stage of development. UWSN is vulnerable to various kinds of attacks because it is usually deployed in hostile environments. This paper systematically summarizes and analyzes the existing security attacks and defensive mechanisms of the UWSN. We expect it can offer a theoretical reference for the establishment of the UWSN security system.
Research on Port Plate of the Internal-Curve Planet Gear Pump
Authors: Luan Zhen Hui , Sun Xiao Fei , Li Yi Hua , Tang Qiong
Published: September 2014

The internal-curve planet gear pump is a new type of gear pump, which is on the basis of the transmission theory of non-circular planetary train and the working principle of gear pump. In order to realize the function of hydraulic pump, it is very important to research on the port plate of the pump, and it is a key link in the process of research on the pump for the mechanical efficiency, volumetric efficiency and stability of low speed. After analysis of structure principle, movement track of planet gears and variation of oil distribution hole, the discussions focus on the position of the oil distribution holes of the port plate, as well as the number, the size of the oil distribution holes. The study indicates that the port plate designed can satisfy the internal-curve planet gear pump.
Research and Design of Agricultural Information Service Platform Based on Cross-Platform Technology
Authors: Sun Cui Hua
Published: September 2014

In order to solve the problem of our country in the construction of agricultural information, such as a single mode of information services, guidance and applicability of the information is not enough and so on, research and design agricultural information service platform based on cross-platform Technology. The mobile terminal as the carrying platform and take advantage of its portability, the popularity and relatively low price, convenient on-site processing ability. The platform integrating agricultural information, agricultural policy, agricultural knowledge, agricultural pre-warning, characteristic agriculture, rich experience, experts inquiry in one, zero distance contact farmers and agricultural information, it has high practical value and broad application prospects.
Filtering Ineffective Product Reviews in Electronic Commerce Website
Authors: Yao Lei Yue
Published: September 2014

Excessive product reviews bring much inconvenient for users to obtain information. It will waste a lot of time, and these spam reviews will occupy much data traffic. Paper focuses on the design a fast filtering algorithm to filter out spam based on content and text length, only leave useful reviews to readers. It can help users to quickly view the more valuable and useful product reviews information, help users understand product information, and facilitate electronic transactions.
Collaboration Research on Web 2.0
Authors: Wu Bing , Zhang Chen Yan
Published: September 2014

Web 2.0 provides richer user experiences by allowing online collaboration and sharing among users. We gleaned from science citation index expanded (SCI-EXPANED) and Social Sciences Citation Index (SSCI) database on web of science, concerning advances in collaboration research in Web 2.0. The result indicates that the number of citation literature on this topic mainly distributes in recent 7 years, reaching climax of 4 in 2012. The main research territory is China, accounting for 22.222%. Accordingly the organization is city univ Hong Kong. And from the analysis of research area, research on information science library and computer science account for more than 50%. Overall, the related research topics can be classified into Web 2.0 in education, Web 2.0 in research, collaborative product development, climate reconstruction, public value in E-Government.
Discussion on the Application of Networking Technology in Intelligent Campus Construction
Authors: Wang An , Zhang Xiang Qing
Published: September 2014

Along with the Internet technology has become more sophisticated, the Internet of things in college applications is more and more widely. The paper introduces the concept of Internet of things and wisdom campus, and deeply discusses the Internet application in intelligent campus.
Design of Pesticide Safety Evaluation of Software
Authors: Zhang Xiu Hong , Lin Yong
Published: September 2014

This paper discusses the evaluation of the level of pesticide safety and designs and realizes the software of pesticide safety evaluation on B/S. The function of the software includes inquiry of pesticide safety, inquiry of evaluation index information and management of users’ information etc. It owns practical values.
A Combined Method for Chinese Micro-Blogging Topic Tracking
Authors: Zhang Xiang , Shang Bo , Dong Li Li , Zhu Yu Jie
Published: September 2014

To the problem of Chinese micro-blogging topic tracking, a method combined LDA model and Bagging of ensemble learning was proposed. The method firstly used the LDA hidden topic modeling, effectively solved the issue that the dataset’s sparsity of the short text, then made the C4.5 decision tree as a weak classifier, through examples resampling to obtain multiple training set, compounding the training sets according to the voting rule, and ultimately getting the similarity of the micro-blogging topic. Experiments show that, compared with the model based on single vector model, classical TF-IDF and the tracking method of C.45Bagging similarity computing, this method have a better performance on precision, recall ratio and F1 value.
Optimization of Clustering Algorithm in Ad Hoc Network
Authors: Yu Qiong , Zong Ping
Published: September 2014

According to the dynamic characteristics of ad hoc network topology, this paper optimizes the clustering algorithm using node energy consumption and the relative connectivity as the factors of weights. Simulation results show the optimized weighted clustering algorithm (OWCA) get better performance than other algorithm, the cluster heads are distributed evenly, the cluster structure becomes more reasonable and stable.
Research and Improvement of Dynamic Source Routing Protocol Based on Ad Hoc
Authors: Zong Ping , Qin Jun
Published: September 2014

With the growth of multimedia business demand in commercial applications, providing QoS support in Ad Hoc network is more and more important. With the appearance of the business which has strict requirements on the QoS, to provide QoS guarantee in mobile Ad Hoc network will have more important significance. By researching the QoS guarantee mechanism research status of wireless Ad Hoc network, as well as the existing research results and the analysis of the problems remaining to be solved, this paper puts forward a new QoS routing protocol named ProDSR, which adds QoS guarantee mechanism extension to the dynamic source routing protocol (DSR). This protocol makes bandwidth, stability and hop count to be selection criteria for providing QoS guarantee, effectively improves the service quality of mobile Ad Hoc network.
Complex Opinion Network Correlation Clustering
Authors: Wang Fu Yan , Qiu Sha , Li Qing
Published: September 2014

In this paper, 2112 specific correlation data of 2 types cluster were selected as sample to build a weighted network, including each hour sample is represented by a vertex and a correlation between 2 clusters is represented by an edge. We analysis this network structure by complex network theory and computer method. We found that the correlation clusters of 2 media have an important impact on this complex network, and the specific sample follow a frequency distribution of the weighted degrees. Applying the method of k-core shows small groups in this complex network, also the modularity calculating help us find out the key cluster, the correlation cluster, the medium cluster and the interaction path of them. An apparently small-world effect has found by the shortest path calculating effectively. All of these may provide a scientific and reasonable reference for further research.
The Application of Database Technology in Network Management System
Authors: Cheng Gui Ling , Li Ming Zhao
Published: September 2014

Web-based network management revolving about database puts forward a feasible mode for network information processing and has the characteristics of wide distribution, full interactivity, real-time dynamic and so on in the application; and is beneficial to timely adjustment for network performance and rapid recovery for fault. Combining the technologies of JSP, JavaBean, JDBC, Socket, JavaApplet, Ajax, JavaScript and so on, database-centric network management mode ensures the reliable, efficient and stable operation of configuration, performance, fault, security and accounting management in the development of business network management system, such as TD-SCDMA network, PON network, TMPLS network, IPTV network, power network and so on. In practice, it is worth mentioning that it improves the dynamical and real-time release performance of accounting management, realizes web-based management for rate and bill. Customers could receive bills real-timely in internet and deals with them conveniently. This is propitious to the management of network vendors as well.
Study on the Campus Website Construction
Authors: Liu Cong
Published: September 2014

Campus website in university is the extension of campus culture on the network, which is one of the most direct and effective means to improve university popularity in the information society. From the perspective of communication and information architecture theory, research on the development and construction of campus website in university plays a very important role for promoting the university to the outside and strengthening the internal and external communication. First, we introduce basic theories including mass communication, uses and gratifications and information architecture. Then based on these theories, we conduct basic research on the campus website, find out effective communication ways, comb out website problems in the dissemination process, and as a basis for reference provide ideas and methods for the development of communication strategies of campus websites. Finally, we analyze and summarize interfaces, content and services of campus websites, and propose the design method and implementation technology solutions of campus website construction. The above contents open up a new way for the study of campus website, also broaden this kind of research fields, and they are the important supplements to the website communication studies with certain innovation.
Applied Research for Campus Student Credit Management System under the Cloud Storage
Authors: Kang Ying Jian , Ma Lei
Published: September 2014

Campus student credit management system under cloud storage is studied to improve performance of management system. In universities, credit is an important indicator of student achievement, and a direct impact on whether students can graduate. How to manage credit of students, has become a key topic of campus management. To this end, the campus student credit management systemunder cloud storage environmentsis proposed. The relevant principles and hierarchy of cloud storage are elaborated, and storage environment of campus student credit management system is obtained. In these environments, student credit management is achieved. Experimental results show that with the improved algorithm to process campus student credit management under cloud storage, the storage space can be expanded to improve management efficiency, to meet the actual needs of the campus administration.
Assess on E-Commerce Transaction Based on Web Technology
Authors: Xiao Kun
Published: September 2014

In this paper, an overview and security threats of e-commerce are described.Combining traditional risk assessment method fore-commerce transactions,the assessmentindicatorsneed to be considered in risk assessment of e-commerce transactionsare analyzed, and quantitative calculation method oftransaction riskis given based on cloudcomputing.Moreover,how to detect andassess the riskof e-commercetransactionenvironmentare made simple discussionand assessment. Experimental resultsshow that the algorithmcan effectively reducetransaction risk andprotect the legitimaterights and interestsof users.
The Design and Implementation of a Handling-Robot
Authors: Deng Zhi Hui , Zhu Yun Hang
Published: September 2014

A robot based on STC12C5A60S2 single-chip-microcomputer is designed for improving the production efficiency and reducing repetitive work. The system could identify path by detecting metal using eddy current sensor. By ways of the single-chip-microcomputer controlling stepper motor, the robot can run according to the predetermined route, judge independently cargo range and deliver the goods to the designated location. The implementation methods of the important links, such as mechanical structure design, path recognition and steering engine driving and so on are introduced, the system of which make the information interaction with computer through ISP-module (In-system-programming).by testing the model, it shows that the system can meet the design goals of handling goods automatically, and it has higher application value of reducing the accident rate of worker in repeated works and improving labor productivity.