Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

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421 articles

Silicon detector for the Saline Soil Degree in ETM Image

Tao Chi, Bingchun Li
A silicon photoconductor apparatus having improved efficiency in infrared radiation detection by sandblasting the reflective surface of the apparatus and thereby creating a near-infinite number of reflecting angles and a corresponding multiplication of quantum energy yield. This article describes its...

Research on Personalized Recommendation Algorithm for Internet User to Browse News

Chunsheng Li, Shuchao Feng, Wenqian Shang
At present, the mode analysis methods for Internet User to browse news have three main kinds: that is, association analysis, clustering analysis and the mode of sequence analysis. This paper mainly focuses on the personalized news recommendation for Internet user. We combine the membership functions...

Research of Terrain Aided navigation system

Xiaoxu Chen, Chunguang Wang, Xin Wang, Ming Ming, Deming Wang
Terrain aided navigation system is called the fourth generation of navigation system, this paper analyzes some key technologies of terrain aided navigation system and analyzes the factors that affect the terrain aided navigation system positioning accuracy, proposing solutions to improve the positioning...

The Research of Gas Detection Based on data Fusion

Haiqun Wang, Dongyun Liu
Aiming at indoor harmful gas pollution of residents, a real-time online monitoring system is designed based on the detecting and control of harmful gases. The lower computer system make the STM32F103 microcontroller as the core, PC as the monitoring center, combining the technology of multi-sensor data...

Research and Implementation of Content-management Based on FEDORA

Yongchang Wang, Ligu Zhu
The surge of information leads the creation of non-structured data increasingly, so content-management has been one of hot topics for IT industry to research. This paper discusses the use of FEDORA in content-management by analyzing the digital object model in FEDORA. We implement a content-management...

Key exchange protocol based on the private key

Tong Yi, Minyong Shi, Wenqian Shang
At present, most existing key exchange protocols for three-party (3pake) are easily attacked by server key disclosure, dictionary attack and so on. This paper analyses the weakness of the previous work , and presents a key exchange for three-party based on the private key .This method can resist common...

Data Discretization Process Of Health Management System

Xiaokang Tang, Xuezhi Zhang, Qiong Zou, Cun Xie
The algorithm of attribute reduction based on discernibility matrix is advanced. The advanced algorithm uses the dependence of decision attribute to condition attribute as heuristic information. The advanced algorithm can debase the complexity of discernibility matrix constructing effectively. The value...

A Method Based On Face Verification

Xuezhi Zhang, Cun Xie, Xiaokang Tang, Qiong Zou, Chunyu Shao
Recent year, the method based on face verification has been one of the most vibrant study aspect in face verification field. The problem of face verification can be defined: imputing the picture or video, identifying or validating by using face database. “video-video” face verification means inputting...

A Healthy Aging Real-Time Monitoring System Based on Data Mining

Songtao Shang, Minyong Shi, Wenqian Shang
Aging population is serious problems now in China. Many aging people have only one child, their children have many works to do every day. The only children have little time to care for their parents’ health and daily life. This paper introduces a real-time monitoring system which can collect the vital...

Research on the Solar Distributed PV's Impacts on the Voltage of Distribution Network

Yongsen Wei, Li Li, Yan Liu
The photovoltaic power is gaining momentum and developing fastest among the distributed power generation technologies. The distributed photovoltaic power is connected to the distribution grid through the inverter. And it is stochastic and different from the traditional power plants. So it is necessary...

Research on the Evaluation System of Economic Development Environment Based on the Factor Analysis Method

Nan-nan Zhang
Coordinated environment of economic development will provide power for economic development. Otherwise, it would counteract the development of economy. Aiming at this problem, using the factor analysis method and taking Chinese city for example, this article selects the 18 indexes of 36 cities throughout...

Financial Security Evaluation in Power Production Industry Based on BP Neural Network Optimized by Genetic Algorithm

Jiao Lin, Yao Shuo, Jiao Di
In recent years, power production industry investment and financing security issues have become increasingly prominent in China,which has brought serious financial security challenges to our country’s power production industry. Therefore, to evaluate the financial security is of vital significance.This...

A New Project Management Performance Evaluation Method based on BP Neural Network

Wanyin Du
The traditional project management performance evaluation method mainly used single linear analysis, which is simple. But it can not reflect the complex non-linear relationship between the evaluations. Thus, a back propagation neural network model applied in project management performance was constructed,...

Research on the Company Financial Crisis Prediction Model based on Support Vector Machine

Weiping Zhong
For comparing the prediction accuracy of company financial crisis prediction models, the support vector machine model was introduced in this paper to predict that whether there exists financial crisis in a company or not. Through the acquisition of a large number of samples for training and testing,...

Research on the Effective Supply Strategy of Natural Gas based on Factor Analysis Method

Guang-jing He, Rong-ge Xiao, Yu-heng Zhang
As China's economic growth and social development, energy demand is increasing. As an efficient and clean energy, natural gas is widely used in various fields such as industry and agriculture. However, the contradiction between demand increase of natural gas and limited resources has become increasingly...

Prediction and Influencing Factors Analysis of Natural Gas Consumption in China Based on SPSS

Guang-jing He, Rong-ge Xiao, Shuai Liang
Natural gas is the third largest energy pillar in the world, the best energy that all countries are scrambling to develop. Five main influencing factors of natural gas consumption are analyzed by collecting relevant information, including GDP, the gross industrial output value, the increased value of...

Research on the University Network Information Security Risk Management Model Based on the Fuzzy Sets

Cai-qiao Huo, Li-zhuang Meng, Kai Chen
Due to the evolution and widespread about the Internet, organizations are easier to attack on the information technology systems. These are caused by data loss and change and those insecurity impact resistant services and business’ running. Then, we use a way that is the management of the information...

Application of Improved BP Neural Network Algorithm in Hydrocarbon Identification of Salinity Mud Invasion Reservoirs

Lixiang Feng, Wang Dan, Rongchao Cheng
Saline solution mud has been extensively used in many oil and gas fields. Its salinity property leads to the difficulty in identifying hydrocarbon using conventional wire logging information due to the lower reservoir resistivity resulted from saltwater invasion. Gas logging and geochemical logging directly...

Study on the Method for Comprehensive Evaluation of Complex System Maintainability

Ming-hua Yang, Guo-gang Wang, Xiao-ping Han, Tao Liang
In order to assess the maintainability of weapon system on the system-level more scientifically and accurate, the concept of “Influence degree” is introduced into this study under the consideration of the relational degree between the influence of components on system and assessment indicators. By combining...

The research based on private cloud computing information interaction model

Meng Zhang, Zheng Liang, Zhen Li
The author analyses the current problems of campus network, make a research about the construction of university campus network, through the resource integration of campus network, and then introduce a information interaction model based on private cloud computing information interaction model, which...

Constructing Virtual Network Attack and Defense Platform Based on OpenStack

Longying Lian, Yuan Zhang, Hongtao Zhang, Shunji Zhang
With the rapid development of Internet, network security issues have become great issues related to national security and stability. In this context, researchers and students in universities require one for scientific research and experimental teaching of network attack and defense platform. This paper...

Design of Multi-channel MAC Mechanism for WIA-PA

Jianming Liu, Lili Xu
WIA-PA is an industrial wireless networking protocol standard used in process automation. One mechanism based on the WIA-PA multi-channel MAC has been proposed to solve industry wireless sensing questions in network channel disturbance and medium turning on conflict. The mechanism mainly includes the...

Research on MEMS Cantilever Beam Used as Switch in Thermal Mass Flow Meter

Pengyu Wang
In order to reduce power consumption of thermal mass flow meter and prolong its working life as long as possible, we suppose that a MEMS cantilever beam could be used as switch in thermal mass flow meter. First, we discussed working principle of cantilever beam to confirm the feasibility as switch in...

The Data Analysis of the Subway Noise Signal Based on MATLAB

Qian Xiao
As subway noise affected psychological, physiological and normal life of passengers and people along the track seriously, it becomes an important indicator of urban construction. In this paper, subway noise is analyzed by MATLAB for its efficient data analysis capabilities. The measured data is taken...

Multi-Kernel Partial Least Squares Regression based on Adaptive Genetic Algorithm

Shaowei Liu, Jian Tang, Dong Yan
Kernel learning has been a focus of machine learning domain recently. Kernel partial least squares (KPLS) algorithm can construct nonlinear model using extract latent variables from the input and output data space simultaneously. However, generalization performance of KPLS model relies mostly on kernel...

Retrieval of Clothing Images Based on Color Feature

Yatong Wang, Wenlong Fu, Yongbin Wang, Xianglin Huang
With the rapid development of e-commerce apparel, clothing online shopping is becoming an increasingly popular way of shopping. At present, text features are often used as search terms. Users need a retrieval tool to realize the clothing information search function efficiently. The content-based image...

Research on Resource Management of Phased-Array Radar in Target Tracking

Qing Sun, Qin Zhang, Jianfeng Tao
Scheduling of phased-array radar resource is an urgent problem of its tracking and control. In this paper, optimization control model of phased-array radar has been analyzed and the resource management of a certain type of radar in target tracking has been developed, which will provide theory reference...

Research on Data Mining Model in the Internet of Things

Yan Chen, Ai-xia Han, Cai-hua Zhang
The Internet of things combines aspects and technologies that come from several kinds of approaches. So the Internet of things is a new paradigm. When the computing, pervasive computing, and the relevant technologies are more closely interdependent to each other and the world of Internet of things form...

Research on the Synergy Management Mechanism of the Project Contract Using Management Based on the Multi-sided Matching Decision Method

Gang Du, Ping Du
Synergy management in project aims to maximizing the all parties’ interests the owner, which parties including the construction unit, contractors, suppliers, government. It is the management core, in order to maximize their interests we try to carry out the new management mode of the integration. Synergy...

Research on Evaluation of Enterprise Performance Based on BP Neural Network Improved by Levenberg-marquardt Algorithm

Wanyin Du
BP neural network is a multilayer feedforward network for training according to the error back-propagation algorithm , its main advantage is the strong non-linear mapping ability , but the training of BP neural network is easy to fall into local minima, and slow convergence speed. In this paper, through...

Enterprise Credit Evaluation Model Based on Genetic Algorithm Optimization BP Neural Network

Yu-jing Zhang, Qian Li, Zhi-wang Jiang, Hong-xia Zhang
Credit is very important for the enterprise, analysis of a comprehensive evaluation of enterprise credit, can enhance the risk control ability of enterprise credit, improve enterprise credit rating.The paper establishes BP neural network credit evaluation model based on genetic algorithm GA optimization...

Forecasting Model of Supply Chain Management Based on Neural Network

HongJing Liu
Neural network technology has been successfully applied in many business areas. This paper systematic summarizes the applications of neural network technology in supply chain management, which include three areas: optimization , forecasting and decision support. Then, the BP neural network is used to...

Camera Radiance Correction In Lightning Imaging Experiment

Cun Xie, Xuezhi Zhang, Xiaokang Tang, Qiong Zou, Chunyu Shao
The camera radiance correction methods was designed and implemented to improve the pixel optical response features and eliminate the difference of the optical response. Otherwise the camera space correction and distortion correction method was designed and implemented to ensure the seamless splicing...

The Design and Application of Water Jet Propulsion Boat

Weibo Song, Junhai Jiang, Shuping Zhao, Kaiyan Zhu, Qihua Wang
With the continuous application of science and technology in the ship fields, the new technologies of ship have a rapid development. The water jet propulsion boat technology also has continuous update. Therefore, the technology of water jet propulsion is a hot area of research. This paper mainly designs...

Study of the Best Checkpoint Interval in the Distributed Simulation System Based on Virtualization Technology

Yu Ge, Yunfei Yang, Chengwen Zhu, Miao Song, Xiaoyan Cai, Yan Zheng
In order to keep the system’s transfer, every once in a while, it was needed to grab a snapshot for the VM of all the nodes which were in the process of the distributed simulation system. It is very important to set the reasonable checkpoint interval for optimizing the system’s average utilization rate....

Combination Method of Evidence Grouping

Rong Li Chen, Xi Bin Wang
The theory of Evidence reasoning is an important method for processing uncertain information, in order to improve the accuracy of evidence fusion and to reduce the amount of operation, and ensure that combining results are still reasonable and effective when it happens to information conflicting, so...

Research on the Database based on GRID Technologies

Hua-shuai Zhang, Xiao-wan Yang
Grid technology is widely used in recently. It has solved the real sharing of resources, making each node of unified command and using of resources. The information grid is on the basis of computational grid, using data mining. Information fusion, search engine technology and building are advantageous...

Nonlinear Controller Design of the Inverted Pendulum System based on Extended State Observer

Limin Du, Fucheng Cao
Inverted pendulum system is a kind of widely used physical model. In this paper, we present a nonlinear control scheme of single inverted pendulum system based on extended state observer. First, we establish the dynamic equations of inverted pendulum under a generic horizontal force and then linearize...

Formation and Statistical Properties on Name Networks

Lei Zhang, Yong Hu, Jianxiang Cao
In this paper, we investigate name network based on complex network theory. We study statistical properties of the network and find that name network show some important characteristics: not only small word effect, scale-free and the power-law distribution, but also disassortative mixing. The origin...

The Problems in Cloud Computing Security and Its Solutions

Li-na Zang, Yan-juan Zheng, Zhi-qiang He
Cloud computing is a new computing model, in which large-scale Internet computing resources are effective integrated and computing resources ate provide as a service to users. Cloud computing effectively separates the virtual services from the actual resources. With the Promotion of cloud computing applications...

Analysis of the Big Data based on MapReduce

Zi-de Tian
Big Data are becoming a popular technology focus both in science and in industry and motivate technology shift to data centric architecture and operational models. Big Data is bringing a positive change in the decision making process of various business organizations.In this paper, MapReduce big data...

Semi-automatic Lexicalized Tree Adjoining Grammar Extraction towards Natural Language Generation

Wei Qiu, Tianfang Yao
Deep grammar Formalism such as Tree Adjoining Grammar(TAG) is widely used in Natural Language Generation(NLG). However, crafting the grammar not only requires expert knowledge of both the grammar formalism and the target application domain of NLG, but also needs a lot of human labor. In this paper, we...

A New Method On Channel Coding Category Identification

Dong Zhang, Zhengwei Lei, Yanmei Lv, Lijuan Peng
The channel coding is a key link in modern digital communication systems, which effectively improves the reliability of communication. In view of the problem of the categories detection of channel coding, this paper puts forward a method of detecting channel coding categories using the correlation characteristics...

Research on the bottom deformation of Vertical Metal Tank Based on finite element analysis

Cun jun Li, Xian lei Chen, Hua dong Hao, Hao lei Shi
Vertical metal tank is an important compulsory verification metrology instruments of energy trade transfer in China. The metrology of its capacity is accurate or not, directly affecting economic interests and national metrology reputation at home and abroad. In the paper, through the establishment of...

Collision Based Adaptive Time Synchronization Verification Method for Ocean Sensor Networks

Ying Guo, Haiwei Cui
Time synchronization is a critical issue for ocean sensor networks, existing time synchronization algorithms focus on the calculation of clock skew and offset, the studies on time synchronization verification is limited. We propose a collision based adaptive time synchronization verification method for...

Research on the method of processing of legal language by the information technology

Ma Li
Metacognition refers to the series of skills in self- construction and adjustment in all cognitive stages. Successful learners have acquired many metacognitive strategies to meet requirements in different learning contexts. Metacognitive reading strategies play a positive role in the process of reading...

Construction of Intelligent Transportation Network Data Based on Open Street Map

Danping Wang, Kunyuan Hu, Xiaowei Han
With the rapid development of economy and society, the city scale continues to expand while transportation is under great stress. Constructing the intelligent transportation system is an effective solution to improve the level of transportation management and decision support. Against the background...

Research on Continuous Path Guidance Method Based on the City Point of Interest

Danping Wang, Kunyuan Hu, Xiaowei Han
For existing path algorithms cannot achieve more continuous search, we propose the ASSA algorithms to let the travellers access to multiple points of interest in a trip. The ASSA algorithm has optimized the network structure, greatly reducing the amount of data access, and through temporal reasoning...

Research on Development and Model of Intelligent Transportation Systems

Danping Wang, Kunyuan Hu, Xiaowei Han
With the rapid development of economy and society, Intelligent Transport Systems also known as the road traffic information communication system, based on systems engineering, electronics, communications, information, and other high-tech, and have penetrated into the new transportation system of aviation,...

Research on the Application of Intelligent Algorithm in Short-Term Traffic Flow Forecast

Danping Wang, Kunyuan Hu, Xiaowei Han
In recent years, with the vigorous development of intelligent transportation systems, traffic control and traffic flow guidance have become popular issue of intelligent transportation systems (ITS). The key issue to achieve traffic control guidance is to realize real-time and accurate short-term traffic...