bluuebunny/crossref_metadata_2025 huggingface dataset:
High Resolution RS Image Industrial Solid Wastes Extraction Based on SVM
Authors: Yao Xiu Hong , Bao Wen Xing
Published: March 2014

In order to accurately extract various types of industrial solid wastes from high resolution RS images, a industrial solid wastes feature fast extraction algorithm was proposed based on SVM. The reasonable image pretreatment was conducted by anisotropic diffusion filtering firstly. It is because that high resolution RS image contains abundant information and industrial solid wastes heap was very complex, we proposed the classification algorithm based on 1-v-1 which could extract multi-class industrial solid wastes fast and accurately at once. The new algorithm improved both efficiency and accuracy of industrial solid wastes recognition. The experimental results show that the industrial solid wastes feature recognition of SVM has better advantages than conventional methods. The new algorithm can recognize not only shape features of industrial solid wastes heap but also its material and type and it is constructed to recognize multi-class industrial solid wastes with higher operation efficiency.
Comparison between BP and RBF Neural Network Pattern Recognition Process Applied in the Droplet Analyzer
Authors: Song Qing , Meng Gao Jie , Yang Lu , Du Dan Qing , Mao Xue Fei
Published: March 2014

Among various pattern recognition methods used for liquid identification, the method based on neural network has the advantages of robustness and fault tolerance, which can study and adapt to the uncertain system. The waveform analysis is exploited for feature extraction of the liquid droplet fingerprint (LDF) in this paper, and the liquid identification is carried out by means of BP and RBF neural network. The experimental results proved that the recognition rate is excellent in both of these two methods. In condition that the training data is limited, RBF network is better than BP network in recognition speed and rate.
Acquisition Algorithm Based on Circular Correlation for GPS L2C CM Code Signal and the Software Implementation
Authors: Zhu Xue Fen , Yang Yang , Yang Dong Rui , Shen Fei , Chen Xi Yuan
Published: March 2014

L2C is a new civilians signal launched by the modernized GPS Block IIR-M satellite. This paper studies L2C acquisition algorithms with the implementations on MATLAB. Circular correlation is utilized to implement the acquisition algorithm. The input satellite signal is collected by hardware front-end and the local code then simulated by software. The input data after frequency reduction processing and the local simulated code are converted into the frequency domain by means of FFT (Fast Fourier Transform). After performing circular correlation, the initial phase of the CM code is attained and the carrier frequency is found with the resolution of 50Hz.The effectiveness of the acquisition algorithm is finally verified through the actual satellite experiments.
A Variable Mode QR Decomposition Adaptive Filtering Algorithm for Acoustic Echo Cancellation
Authors: Li J.B. , Lu C. , Zhou Y.
Published: March 2014

This paper studies a new QR decomposition adaptive filtering algorithm for acoustic echo cancellation (AEC). Based on the p-TA-QR-LS algorithm [ and an efficient voice activity detection technique, the proposed algorithm can distinguish the significant and insignificant input data periods. The resultant variable mode p-TA-QR-LS algorithm can work between two modes (p=1and N) and is thus suitable for AEC application where reusing significant input data can enhance convergence and the computation cost can be saved when the input is relatively weak.
Study of the High Heels Shape Characteristics Based on the Kansei Engineering
Authors: Xu Jin Yu , Bian Fang
Published: March 2014

In order to understand consumers emotional intentions and discuss the impact of high heels shape characteristic to human cognitive imagery, this paper, based on Kansei Engineering, combines the collected samples and constructed semantic space to design questionnaire with orthogonal method. With the item weights of shape elements and category utility values from the studied emotional semantic vocabulary, the designers can get the corresponding shape elements of high heels according to the target consumers ideal emotional semantics, and thus this directs the shape design of new product.
A Harmonic Analysis Algorithm Based on Tracking the Fundamental
Authors: Gao Yan , Chang Wen Jing , Wang Guang Yao , Li Yi Ran
Published: March 2014

In the FFT harmonic detection, the detection accuracy is reduced because of asynchronicity between the sampling frequency and the signal of base wave frequency. In order to improve the detection accuracy, a harmonic detection algorithm based on the fundamental frequency tracking is proposed. Firstly windowed interpolation FFT algorithm is used to detect signal of base wave frequency, then the fundamental frequency is tracked and the sampling frequency is dynamically adjusted. Finally, the signal sequence is obtained by quasi synchronous sampling with frequency multiplication technology, and amplitudes and phases of the signal are received with the FFT analysis. Because the sampling frequency synchronization error and the influence of frequency spectrum leakage are reduced, the detection accuracy is improved. This algorithm is applied to the electrical energy harmonic analysis with simple implementation and high accuracy.
Research of Mining Heavy-Duty Dump Truck Turning Shaft Fracture Based on Workbench
Authors: Zhang Yu Bao , Luan Chang Shun , Zhang En Hui
Published: March 2014

The dump truck in coal mine, mountain and other bad conditions of overload transportation, the turning shaft often breaks, through material analysis of dump truck turning shaft and method of theoretical calculation and finite element analysis, making force analysis to the stress concentrated area, find the reasons for turning shaft fracture.
Communication Principle of Literature Database Based on Spatial and Temporal Segmentation Technology
Authors: Wang Yong
Published: March 2014

In this paper we introduce cross tree and block mathematical principles into the design of database system, divide the time sequence and storage space of computer database system, establish the mathematical model and algorithm of computer resources database system, and design the test database system. In this paper, we use high performance interface of Display Port, by way of coupling to communicate on two port control, and use RHEL 6.2 Linux virtual machine to do simulation experiment on process of database system. Through the simulation we find the API which is called by Read, Close, Mmap, Stat, Fstat is similar. It is consistent with the actual situation, and verifies the reliability of the program. Finally, we apply the database system to the network database construction of sports literature resources in the new town of Poyang Lake area. It reaches the effect that sport resources are shared by all. It provides technical support for the application of computer database system.
Power OTN Communications Transmission Performance Simulation Calculation
Authors: Li Fang Yuan , Ding Hui Xia , Lang He
Published: March 2014

This paper briefly introduced the main linear damages in the network layer of electric power Optical Transmission Network which contains fiber loss, chromatic dispersion and polarization mode dispersion. Based on the engineering practice in the application of power system, this paper studied the loss in the optical fiber cable line. The paper also studied chromatic dispersion and polarization mode dispersion. The calculation models were concluded and used for simulation verification. Each model can be used to power OTN engineering design.
A New Method for Angle Estimation in MIMO Radar with Blind Source Separation
Authors: Pang Yu Cai , Zhang Chao Zhu
Published: March 2014

A joint direction of departures (DODs) and direction of arrivals (DOAs) estimation for bistatic MIMO radar with an algebraic method for blind source separation (BSS) is presented. The proposed method has the relative advantage of simplicity. The DODs and DOAs of targets can be solved in closed-form and paired automatically. Moreover, BSS techniques enable this approach to recover the source signals from the mixed signals. Simulation results verify the effectiveness of the method.
The Research on PRACH Receiver and the DSP Implementation
Authors: Li Xiao Wen , Wang Mao Yue , Wang Dan
Published: March 2014

In LTE system, random access plays an important role in both uplink time adjustment and initial access of UE. This paper analyzes the theory of the related signal detection and the correlation calculation, and proposes a method to detect the received sequence in the receiver. And at last, it presents the implementation on DSP including the baseband signal processing module, Local frequency domain ZC sequence generation module and Correlation calculation module. In a word, it provides a solution for implement the PRACH receiver on hardware.
Study on Wireless Channel Models of UAV Data Link
Authors: Yu Ge Fei , Wang Zhen Hua , Li Ling , Yang Cong , Liu Da Wei , Wang Yin Ting
Published: March 2014

the performance of UAV (Unmanned Aircraft Vehicle) data link is restrained by wireless channel, in this paper, we analyzed theoretically the characteristics of wireless channels of UAV data link, studied the simulation channel models of flat fading and selective fading which are suitable for low-speed command and remote measuring information and high-speed sensor information respectively, which will be used for designing the system of UAV data link and enhance the performance of UAV data link system.
Best View Based on Occlusion Points
Authors: Zeng Li Li
Published: March 2014

An algorithm of best view based on occlusion points is proposed for current best vision algorithm. Occlusion area is found through analysis of triangulated depth images, mark diagram and occlusion points direction diagram are set up, and best view is determined according to numbers of occlusion points in mark diagram. Experiment result indicated that the algorithm is feasible and efficient.
Separation of EOG Artifact and Power Line Noise-50Hz from EEG by Efficient Stone's BSS Algorithm
Authors: Abdullah Ahmed Kareem , Zhang Chao Zhu , Lian Si Yao
Published: March 2014

An enhanced blind source separation algorithm based on Stone's BSS approach is proposed, to reject the Electrooculogram (EOG) artifact and power line noise (50Hz) from simulated and real human Electroencephalography (EEG) signals without the notch filter, in order not to lose any useful EEG data around the 50-Hz. The proposed algorithm which called efficient Stones BSS (ESBSS) has been compared with four well-known BSS algorithms over super-Gaussian, sub-Gaussian artifacts and EEG signals with a linear mixture. In Original Stones BSS, the half-life values taken as a constant, typically (hlong≥100 hShort), but in the proposed work, an optimization procedure is used to change these values until the maximum temporal predictability is found. The real EEG data are taken from Imperial College London using a computerized EEG device with eight electrodes placed according to the 10-20 system.
An Effective Image Edge Detection Algorithm – Fuzzy Box-Counting
Authors: Ma Li , Shang Li , Zhang Long , Shao Wei Shi
Published: March 2014

Edge detection plays an important role in computer vision and image processing. Fractal and Fuzzy theory show significant effect in the edge detection and have attracted much attention. Compared with traditional edge detection methods, this paper proposes a Fuzzy Box-counting Dimension Method (FBDM). This algorithm introduces the pre-judging mechanism to improve the speed of image segmentation, and the self-adaptive dimension threshold and the voting mechanism under multi-windows to improve the accuracy of the determination of edge points. Finally, closest principle is used to clear edge and reduce noise. Experimental results show FBDM can improve the precision of image edge detection effectively without pretreatment, and it has a very superior de-noising performance.
Based on Semi-Supervised Clustering with the Boost Similarity Metric Method for Face Retrieval
Authors: Qiu Wei
Published: March 2014

The focus of this paper is on Metric Learning, with particular interest in incorporating side information to make it semi-supervised. This study is primarily motivated by an application: face-image clustering. In the paper introduces metric learning and semi-supervised clustering, Boost the similarity metric learning method that adapt the underlying similarity metric used by the clustering algorithm. we propose a novel idea of learning with historical relevance feedback log data, and adopt a new paradigm called Boost the Similarity Metric Method for Face Retrieval, Experimental results demonstrate that the unified approach produces better clusters than both individual approaches as well as previously proposed semi-supervised clustering algorithms. This paper followed by the discussion of experiments on face-image clustering.
On-Line Decrypting: A Homomorphic Realization for Network Coding
Authors: Jie Xia , Jing Rui Jun
Published: March 2014

The paper studies the problem of communicating message secretly in the network performing random linear network coding, where the network internal nodes are allowed to randomly mix the incoming packets and then forward. The paper proposes HoNet, an end-to-end homomorphic encryption that is theoretically proved secure against network adversaries who can fully access the information of network coding schemes and eavesdrop every network transmission. A direct payoff of homomorphic encryption is that network nodes could on-line decrypt (or re-encrypt) the mixed ciphertexts, which significantly increases network throughput in scenarios such as peer-to-peer networks and satellite systems. In particular, HoNet addresses the two main challenges faced by the traditional homomorphic encryption schemes for point-to-point transmissions:high computational overhead and throughput loss-rate. To be precise, HoNet possesses linear time nodes complexity and asymptotically zero loss-rate.
Parallel Optimization of Geometric Correction Algorithm Based on CPU-GPU Hybrid Architecture
Authors: Bai Hong Tao , Li Yu Gang , Chen Li Ying , Wang Yan Ling
Published: March 2014

Geometric correction is an essential processing procedure in remote sensing image processing. The algorithms used in geometric correction are time intensive and the size of remote sensing images is very large. Meanwhile,the data to be calculated is in huge size and is accumulating rapidly every day. Hence, the fast processing of geometric correction of remote sensing image becomes an urgent research problem. Through the rapid development of GPU, the current GPU has a great advantage in processing speed and memory bandwidth over CPU. It provides a new way for high performance computing. In this paper, we present three optimization solutions based on CPU-GPU hybrid architecture and the analysis of their performances. Experiments are also given and the results are consistent with the analysis.
An Algorithm of Channel Sharing for the Solar Blind NLOS Ultraviolet Ad-Hoc Network Based on the Hybrid Genetic Algorithm
Authors: Yang Juan , Li Xiao Yi , Zhao Fang , Chen Xin Yu , Shao Ping
Published: March 2014

The solar blind NLOS ultraviolet Ad-hoc network communication bases on atmosphere scatter and absorption. An algorithm of channel sharing for the solar blind NLOS ultraviolet Ad-Hoc network is proposed to avoid conflict. The conflict nodes in the network are colorized based on the hybrid genetic algorithm, and then the network has a higher spatial reuse. The Simulation results show the algorithm of high-speed efficiency, thus having a better engineering practicability.
Design and Implementation of Random Access Procedure in LTE System
Authors: Zhu Qin , Shangguan Pei Yang , Li Xiao Wen , Lv Tong Tong
Published: March 2014

This paper introduces random access procedure in LTE system, and shows the design based on the competition with two different kinds of non-contention random access procedure and contention random access procedure. and gives the random access procedure function implementation. In the last section the paper give the result to verify the correctness of the design through REALVIEW software.
Efficient RGB to YCbCr Color Space Conversion for Embedded Application
Authors: Li Hui Yong , Jiang Hong Xu , Zhang Ping , Li Han Qing , Cao Qian
Published: March 2014

Modern embedded portable devices usually have to deal with large amounts of video data. Due to massive floating-point multiplications, the color space conversion is inefficient on the embedded processor. Considering the characteristics of RGB to YCbCr color space conversion, this paper proposed a strategy for truncated-based LUT Multiplier (T-LUT Multiplier). On this base, an original approach converting RGB to YCbCr is presented which employs the T-LUT Multiplier and the pipeline-based adder. Experimental results demonstrate that the proposed method can obtain maximum operating frequency of 358MHz, 3.5 times faster than the direct method. Furthermore, the power consumption is less than that of the general method approximately by 15%~27%.
Research and Design of a Short Message Services Management System for Mobile Devices
Authors: Dong Wei
Published: March 2014

The last few years has seen a massive growth of applications for smart phone operating systems such as Android, IOS. Short message services (SMS) is one of them. Although SMS as an application has existed for a long time, the method for managing short messages is rather outdated and very inconvenient. The is partially because most of the SMS applications are inherited from old fashioned mobile platforms, in which users of mobile phone usually concentrate on basic phone service and demand less for SMS. With the introduction of smart phone operating system, the old-fashioned method of short messages management is not suitable. To cope with this problem, in this paper we first conduct research on modern ways of short messages management, and then a short message services management system for mobile devices is designed. In this new system, more advanced options, such as messages query by date, by sender and sending a message to many receivers at the same time, for short messages is provided. Moreover, to validate our research and design, we implement the system based on Android platform. And we conduct some experiments with this system and test results shows that our system works quite well. With the mobile Internet becoming increasingly important to life, our research is expected to improve work efficiency greatly.
Research and Implementation of LED Optical Design Focused Web Crawler
Authors: Liang Guo Chao , Cao Cai Feng
Published: March 2014

The LED optical design focused web crawler is proposed based on Shark-Search and topical dictionary. Then the crawling strategy is implemented by extending the web crawler Heritrix. The experimental results show that the design scheme (Topic-First) and its web crawler LED-Crawler can effectively capture the LED optical design relevant web pages. And compared to general search engines, LED-Crawler can improve the accuracy.
An Implement Scheme of Persistence Layer Based on Hibernate
Authors: Wang Feng Qin , Liu Yu , Han Qing Long
Published: March 2014

The technology of object persistence is first introduced. And then an designing scheme of information system is put forward, in which the object persistence layer is based on Hibernate; Finally, the scheme is implemented by Myeclispse development environment. The experiment result demonstrates the scheme simplifies data access processing, improves the readability, maintainability of code and efficiency of programming.
Research on Java Development Kit Based on Complex Networks
Authors: Gong Sheng Wen
Published: March 2014

Java is a computer programming language that is class-based, object-oriented, java is, as of 2013, one of the most popular programming languages in use. The Java Development Kit (JDK) is an implementation of java language, which consists of a Java Virtual Machine and all of the java class libraries. There are thousands of classes in the java class libraries, and there are many kinds of relationships between classes. In this paper, we use complex network theory to study the topology of the java class libraries, according to analyzing to the networks feature characters, important classes and interfaces in java class libraries are found, we hope to find the relationship between the characters of complex networks and software reliability.
The Construction of Information Management System Based on Cloud Computing and the Internet of Things
Authors: Wei Ying , Sha Feng , Yan Wei Qing
Published: March 2014

the traditional library management has been changed by the development of cloud computing and the internet of things. This paper analyzes the technical characteristics and relationships between cloud computing and the internet of things. On this basis ,we discuss the Construction of Smart Library Information Management System based on Cloud Computing and The Internet of Things
Experimental Research on Vibration Reduction and Life Extension of Large Precision NC Machine Tool Based on Particle Damping
Authors: Xiao Wang Qiang , Li Wei
Published: March 2014

Bringing particle damping technology into the large-scale precise numerically-controlled machine tool will effectively decrease vibration at the time of machinery processing and extend lifetime, and have a wide application prospect on vibration suppression for the precise machine tool. This paper studies the influence of the different density, diameter and filling rate of particle on the structure stability of machine tool. The experimental results show that choosing the proper density, diameter and filling rate of particle has a great influence on practical design and application of precise machine tool, and provides the theoretical basis and design principle for the application of vibration reduction and lifetime extension of the large-scale precise NC machine tool.
Pallier Based Homomorphic Encrypted Data Aggregation in Wireless Sensor Networks
Authors: Engouang Tristan Daladier , Yun Liu , Zhang Zhen Jiang
Published: March 2014

Tiny autonomous embedded electronics (sensor nodes) devices able to communicate through wireless channels are ensuring the emission and reception of data through a communication radio between two sensors grouped by hundreds and thousands within Wireless Sensor Networks (WSNs). These amazing new technology with ongoing research worldwide, are merging networking, systems hardware, systems software and programming methodologies thus enabling applications that previously were not practical. Hence numerical simulations on computers can now visualize the physical world phenomena that could be observed through empirical means, as sensors are deployed in a dedicated environment, to fulfill their aim of sensing for any occurrence of the event of interest. The data sensed by these wireless sensors are now very sensitive, thus need to be fully protected by all means, which is why T. D. Engouang et al., argued that securityand reliability and also durability are mandatory when deploying any sensor nodes or hard device. The Pallier based homomorphic encryption data aggregation is proposed with security measures preserving data integrity and privacy.
The Modeling of Sky in the Large Virtual Scene
Authors: Han Li
Published: March 2014

When developing a project about big games or the large virtual simulation, the modeling of sky is a pivotal part, in order to effectively reflect the authenticity of the scene. However, because of the demand of updating data in a large quantity real-time, the theme is always a difficult problem to be researched that the ordinary simulation cannot satisfy. According to the researching theme, the paper puts forward a method which replace the required texture of the sky model in real time. The approach is not only meet the simulation on computers of low configuration, but also reflects the authenticity of the virtual scene better.
The Mobile Manager of Network Management System Based on Android Platform
Authors: Wu Ying Na , Zhang Yan Gan , Mu Hong Yang , Yuan Xue Guang
Published: March 2014

This paper presents a new network management system which contains a user-friendly wireless mobile manager. Compared with traditional network management system, the new system realizes the mobile management of network.
Design and Implementation of Reconfigurable Flight Simulation Platform with PC
Authors: Xu Jian Hui , Tang Sheng Jing , Yang Sheng Yi
Published: March 2014

In accordance with the object-oriented design principles, the flight simulation platform of each function is modular and hierarchical. The 1 Pool 2 Pieces 4 Layers software framework is proposed, using VC++ features to abstract all the replaceable modules to the same class, realizing rapid conversion of a variety of aircraft and different tests, to achieve reconfigurable. The realistic flight dynamics model considering wind disturbance is established, and with F-16 model as an example has conducted digital simulation and visual simulation. The results show that the platform has good maneuverability and fidelity, and provides reliable basis for aircraft design.
Design and Realization of Large File Asynchronous Upload and Broken-Point Continuingly-Transferring Based on ASP.NET MVC
Authors: Yi Shi , Liu Quan , Li Jing Song
Published: March 2014

In this paper, discusses the design and realization of large file asynchronous upload and Broken-point continuingly-transferring based on ASP.NET MVC. At the first, brief review the traditional upload method based on HTTP(Hypertext transfer protocol) protocol and ASP.NET(C#), point out the existed malpractices, while introduce the basic principles of asynchronous upload and broken-point continuingly-transferring, and in-depth analysis of the design and realization of the function of asynchronous upload and broken-point continuingly-transferring in ASP.NET MVC.
The Network Data Clustering Algorithm Based on Fuzzy Processing Model
Authors: Zeng Guang Hui
Published: March 2014

Because the attributes of the network data become more and more complex, the useful clustering attributes are increasing greatly. The traditional network data clustering algorithm is sensitive with the initial center of the network data clustering which cause the operation efficiency of the algorithm is quite low. This paper proposes a kind of network data fast clustering algorithm based on fuzzy processing model. The algorithm solves the issue of fixed center in the traditional network data clustering algorithm. The experiment illustrates the algorithm has better clustering accuracy and the convergence speed is quickly.
Improved DV-Hop Algorithm for Enhancing Localization Accuracy in WSN
Authors: Man Da Peng , Qin Guo Dong , Yang Wu , Wang Wei , Xuan Shi Chang
Published: March 2014

Node Localization technology is one of key technologies in wireless sensor network. DV-Hop localization algorithm is a kind of range-free algorithm. In this paper, an improved DV-Hop algorithm aiming to enhance localization accuracy is proposed. To enhance localization accuracy, average per-hop distance is replaced by corrected value of global average per-hop distance and global average per-hop error. When calculating hop distance, unknown nodes use corresponding average per-hop distance expression according to different hop value. Comparison with DV-Hop algorithm, simulation results show that the improved DV-Hop algorithm can reduce the localization error and enhance the accuracy of sensor nodes localization more effectively.
Scheme Selection of Software Quality Based on Support Vector Machine
Authors: Wang Hong Min , San Xiao Li
Published: March 2014

Software Quality scheme selection is an important pre-work of software project, For software quality evaluation index are difficult to quantify and has the characteristics of uncertainty, this paper uses a nonlinear SVM classification algorithm research. Firstly, to build a software quality scheme evaluation index system composed of 12 indicators, and through hierarchical structure analysis model representation; Then, research on support vector machine, using graphic to show that the basic idea, through mathematical model to describe the algorithm, constructed Sigmoid kernel function; Finally, to perform case analysis, through 8 have been evaluated schemes to train, drawn 4 unselected scheme evaluation results. This article will apply SVM to software quality scheme selection, it is SVM a new exploration in the field of software engineering, and to improve software quality has an important significance.
Research on the Integration Testing of Foundational Software and Hardware
Authors: Guo Jing , Zhao Zhong Wen , Yang Chao , Lv Ya Shuai
Published: March 2014

Whereas it plays the more and more important role in modern living, the level of integration testing on foundational SW&HW(software and hardware) was advanced. On the basis of integration testing content analysis, the basis flow of integration testing was advanced. The environment of integration testing was designed, especially the frame of testing environment on performance. The above research provided reference for standardization of integration testing.
Towards the Improvement of Replication
Authors: Shen Wei , Su Ling , Zhu Zhi Hui
Published: March 2014

The implications of pervasive epistemologies have been far-reaching and pervasive. In fact, few cryptographers would disagree with the important unification of Markov models and RPCs, which embodies the theoretical principles of scalable networking. Soon Apex, our new framework for heterogeneous archetypes, is the solution to all of these challenges.
Research on Integration Degree Curve of Asynchronous Microprocessing Based on Virtual Characteristics Computing
Authors: Zhu Ming Xia
Published: March 2014

Based on the virtual computing principle of computers feature and compatible MCU logic unit of full asynchronous microprocessor, this paper designs computer simulation platform of ideological and political education. The platform has data mining and analysis module. In order to verify the reliability of the platform, we design the data analysis simulation experiment of ideological and political education. Through the calculation, we can get the MCU integration curve. According to the impact of ideological and political education on users, we use computational analysis module to draw thinking fluctuation curve of political ideological education. We also can get thinking step characteristics of Political and ideological education which has high reference value for the research of the ideological and political education.
Numerical Simulation of Storage Tank Based on Control Theory of Fuzzy Rough Sets
Authors: Cao Xiao Fen
Published: March 2014

In this paper we introduce the computer rough set theory and fuzzy control theory into the numerical simulation, and use the multimedia virtual simulation to do simulation on the heat transfer process of mechanical reserve tank, and establish 2D simulation model of tank, and add heat boundary condition in the oil tank bottom. Through the numerical simulation we obtain the curve of oil tank temperature and pressure with time. And through comparison of virtual computing results and experiment results, it verifies the reliability of the algorithm. At the end of this paper, we apply the multimedia virtual simulation technology to the basketball match, and analyze the technical parameters of the match. It provides the technical reference for the training of basketball players.
A Process Model for Software Testing
Authors: Zhang Rui Yue , Xiao Pan
Published: March 2014

This paper presents a new software test and evaluation process model. Under the new framework, testers involve from requirements analysis, get security requirements through security analysis; build risk profile operation, and gradually thin profile in analysis and design phase; automatically generate test cases from profile by tools and drive test work.
Discovery Algorithm of the Association Rules Based on Cloud Database
Authors: Zhu Tian Xiang , Tian Xiao Lan , Sun Shu Hui , Sun Shu Jie
Published: March 2014

Cloud computing is the latest trend in IT technical development, the importance of cloud databases has been widely acknowledged. There are numerous data in the cloud database and among these data, much potential and valuable knowledge are implicit. The key point is to discover and pick up the useful knowledge automatically. An association rule is one of the main models in mining out these data, and it mainly focuses on the relationship among different areas in the data. This paper puts forward the basic model of data mining based on association rules in cloud database and introduces corresponding mining algorithms.
Algorithm Implementation and Method of Virtual Meshing Division of Complex Blade
Authors: Li Chen Liang
Published: March 2014

This paper uses the ORACLE database system and Ballista testing tools to set up the virtual simulation platform of computer network, and to establish the mathematical model and algorithm of network virtual reality. In order to validate the validity and reliability of the designed model and algorithm in this paper, we carry out the numerical simulated experiment with NI cDAQ chassis, four channels data acquisition card and B-PLC network card and other hardware equipments, which has successfully divided the virtual grid of the complex blade, and from the system test, we can find that the hardware system has improved the performance of network transmission, and the quality of network video transmission. Finally, we apply the computer simulation system to the practice platform of network democracy, and introduces the democratic politics video conference and the network democratic political opinion box system in the platform.
Research on the Load Balance of Helicopter
Authors: Yuan Jiang , Huang Jin , Xia Zheng Hong
Published: March 2014

Three main steps to introduce the security work of helicopter load balance was illustrated in this paper, which contains how to choose the datum point, calculate the weight and moment and check whether the center of gravity (barycenter) is in the barycenter envelop. The correlative calculation and the analysis of barycenter envelop diagram to validate the feasibility of the method. According to the results of case study, an efficient referential method of the helicopter stowage was testified.
Experimental Investigation and Simulation of Machining Thin-Walled Aluminum Alloy Workpiece Center
Authors: Shen Chao Qun , Jiao Li , Dong Zhao Hui , Zhang Lei , Peng Song
Published: March 2014

A method to predict the milling deformation of the cylinders deck face was carried out, and FEA technology was used in the research about machining deformation of the thin-walled part. In this work, a simple thin-walled part was taken as an example. The milling deflection of the workpiece had been predicted by establishing a FEA model. Finally, FEA results were verified with milling experimental data, which provided a theoretical basis for technology improvement of cylinders manufacture process.
Low-Temperature Synthesis of Nano-Crystalline ZnTiO3 Powders by Aqueous Sol-Gel Process
Authors: Mei Quan Jing , Li Cong Ying , Guo Jing Dong , Wang Gui , Wu Hai Tao
Published: March 2014

The ecandrewsite-type ZnTiO3was successfully synthesized by the aqueous sol-gel method using TiO2dioxide and zinc nitrate as starting materials instead of expensive organic solvent and metal alkoxides. The as-prepared nanopowders were characterized by X-ray diffraction (XRD), differential thermal analysis (DTA) and transmission electron microscopy (TEM), respectively. The results showed that the calcination process of gel consisted of a series of oxidation and combustion reactions, accompanied by significantly exothermal effects. Highly reactive nanosized ZnTiO3powders were successfully obtained at 850 °C with particle size ~50 nm. By comparison, the aqueous sol-gel process was the most effective and least expensive technique used for the preparation of ZnTiO3nanopowders.
Improvement of Unipolar Resistive Switching Characteristics in Ti Embedded ZrO2 Thin Film
Authors: Huang Chun Yang , Chand Umesh , Tseng Tseung Yuen
Published: March 2014

Due to the electrical and physical analyses, the robust negative voltage unipolar resistive switching behaviors in Ti/ZrO2/Ti/ZrO2/Pt device have been investigated. The Ti diffusion in ZrO2 film can generate more amounts of oxygen vacancies in it, which leads the lower value and narrower variation in forming voltage. Moreover, the good performances with more than 1000 switching cycles and long retention test can be achieved in the present device.
Research on the Regularity and Mechanism of Copper Corrosion in Air Containing Sulfur Dioxide
Authors: Ren Han Tao , Liu Sen , Wang Ping , Xu Song , Zhou Hui Bo
Published: March 2014

Copper corrosion in air containing sulfur dioxide atmosphere was described in detail, for which was one of the most primary atmospheric corrosion.In the first, effection from the synergy of pure sulfur dioxide gas and mixed gas on copper corrosion was set out, together with the introduction of certain corrosion products and formation mechanism. Besides, initial copper corrosion behaviors in variety gas concentration as well as different film thickness were summarized using electrochemical method. The research prospects were depicted in the last.
Ti2AlC/TiC Functionally Graded Material Fabricated by SPS
Authors: Chen Yan Lin , Zhu Xi Ya , Lu Pei Jie , Li Zong Yu , Zeng Cheng Wen , Yan Ming
Published: March 2014

Ti/Al/TiC mixed powders were used as the raw materials for the fabrication of functionally graded material (FGM) in situ synthesis by spark plasma sintering. The sample was analyzed by SEM combined with Metallographic microscope and Energy Disperse Spectroscopy. The results show that dense Ti2AlC/TiC functionally graded material (FGM) was produced by spark plasma sintering. Micro-hardness tester is used to character the distribution of hardness on the material .The results show that the Vickers hardness of every layer increases with TiC content and temperature increasing.
Field Test of Automated Strap-Down Vertical Drilling System in Well Anshun-1
Authors: Zhao Hong Shan , Zhang Kun
Published: March 2014

Automated strap-down vertical drilling system (AVDS) with independent intellectual property rights is composed of a strap-down stabilization platform and a deviation control and correction mechanism. It performs deviation control and correction initiatively while drilling by applying dynamic push-lean, which can effectively solve the inclination control and fast drilling problems arising from high-steep structures and high dip formations. The system can release drilling pressure completely, so under the precondition of ensuring inclination precision, it could remarkably improve the penetration rate, shorten the drilling cycle and reduce the drilling costs. During the field test from 2436 to 2610.79m in well Anshun-1, inclination angle decreased to 0.25° from 6.25°. The average ROP was 1.02m/h, and the average footage was 87.4m. Compared with traditional drilling tools, it improved the penetration rate by 25.9% and the footage by 18.3%. The stability and reliability of the system was proved through the field test. It was suggested that field tests should be strengthened and AVDS applying for different borehole should be developed.
Preparation and Volume Resistivity of CNT/Polycarbonate Nanocomposites with Different Injection Molding Temperatures
Authors: Qiu Jian Hui , Zang Li Min , Uchiya Kengo , Eiichi Sakai , Wang Li Jun
Published: March 2014

In this work, carbon nanotube/polycarbonate (CNT/PC) nanocomposites containing 1wt% CNT were prepared by a two-step method of twin-screw extruder mixing followed by injection molding at different temperatures. The microstructure, which has strong impact on the electrical properties of the composite, was affected by the injection molding conditions. This work is focused on the effect of injection molding temperature on the volume resistivity of CNT/PC nanocomposites. The microstructure of the composites was investigated by scanning electron microscopy (SEM). It was found that the volume resistivity of CNT/PC nanocomposites was decreased from 1013 to 105 Ω·cm with the increasing injection molding temperature.
Principle of Well-Net Design for Coalbed Methane Exploitation in Coal Mine Area
Authors: Han Bao Shan
Published: March 2014

There are abundant CBM (Coalbed Methane) in China. These CBM has caused a remarkable problem to the coal-mining in China. In order to improve the structure of Chinese energy and eliminate the risk of coal mine gas, the relevant industries and sections have implemented many explorations in CBM enriched areas. With great achievements, there are many important problems in the actions of CBM exploitation. The disadvantageous interaction of the surface CBM well and the later coal mining has been ignored at all. There are many disadvantages and defects. To solve these problems and eliminate or weaken the disadvantageous, the scientific and reasonable design of surface CBM well location is an important step. With the thinking of surface condition, coal mining plan, the arrangement of coal mine laneway, the direction and scale of the in-situ stress, and thinking more about the negative influence to and of surface CBM well, according to the theories of mining dynamics, mining engineering, mining geomechanics, and the CBM engineering, the design theory of the surface CBM well net can be studied. Finally, the arrangement principle of CBM product well in coal field is presented. The existing or future coal pillar will be a critical location for the surface CBM well location.
Some Key Points on Construction and Application of Agricultural Disaster Domain Ontology
Authors: Shu Wei Bin , Zhang Man , Hua Xiao
Published: March 2014

Study on agriculture disaster management has recently witnessed significant progress while still remains some open problems. Therefore there is an indisputable value in building the agriculture disaster domain ontology. This study provides a proper method on the organization and expression of agriculture disaster information resources, and constructs the agriculture disaster domain ontology, which meets needs of users who are usually from difficult hierarchies. The study concludes that the construction of agriculture disaster domain ontology help users to distinguish truly useful information from a broad array of information, seek scientific imperial measures and treatment methods, and create favorable conditions for the development of the agricultural economy.
Early Warning Methodology for Urban Rail Transit Operation Safety: Empirical Study from Guomao Station, Beijing
Authors: Lu Kai , Han Bao Ming , Li De Wei
Published: March 2014

With the development of urban mass transit, the metro system has become the backbone of urban transport and attracted a large scale of passengers, which tremendously affect the security, efficiency and service level. Therefore, the early warning of metro stations is the key to safety insurance. In this study, we took Guomao Station as the empirical study, calibrated the threshold value, established the warning index system and proposed some measures to guarantee the operation in Guomao Station and verified the feasibility and practicability of the early warning methodology.
Study on Selection for Large Loading Point in Uncertain Environment
Authors: Yu Li
Published: March 2014

This paper investigates the construction of large loading point. It is a very complex project, because there are many factors can sway the selection. In the environment of the amount of resources uncertain, the location models use bi-level programming is established in the alternative point. Finally the example is provided to demonstrate the effectiveness of the proposed approach.
Research of Low Carbon Accounting on Environmental Conservation
Authors: Qian Cao , Sun Jiang Yan
Published: March 2014

Low Carbon accounting, as an emerging economic accounting model, has had a huge impact on traditional accounting model. In this paper, the characteristics of low-carbon economy and the corporate accounting problems will be discussed to explore how companies in the environmental perspective to optimize accounting applications, and to promote the healthy and rapid development of enterprises.
Situ Remediation of Heavy Metal Contaminated Sites
Authors: Hao Qiang
Published: March 2014

Remediation of heavy metal contaminated sites is the important part in environmental governance. In this paper, based on the study of heavy metal pollution situation and soil characteristics in Shanxi Province, we analyse various typical technology of heavy metal contaminated site remediation. Put forward the suitable method for heavy metal remediation, mainly include: Solidification / stabilization, nanozero valent iron-situ remediation technologies, leaching, chemical extraction, low temperature thermal desorption, high temperature thermal desorption, phytoremediation.
PSO-SVM Model Based Prediction and Analysis for the Formation of Navigation Channel Silt
Authors: Wang Ping , Qie Zhi Hong , Yang Fu Sheng
Published: March 2014

Monitor and predict the change of navigation channel silt is important to ensure the safety of the channel while one of many difficulties is the deformation monitoring data is complicated and nonlinear, so its difficult to establish a deterministic model. Supporting vector machine could be widely used in the prediction of the formation of navigation channel silt because it has a good generalized ability, which could solve the problems like small sample, nonlinear, high-dimension. Because whether the algorithm could work or not based on the selection of the parameters, so a PSO-SVM based prediction model of the formation of the silt was established by using particle swarm optimization, which is a the fast overall optimization, and then was used to optimize the model parameter of the support vector machine. Study shows utilize this model in the silt formation in Huanghua harbor is plausible.
Reservoir Evaluation with Well Data of Putaohua Oil Group of Block Pu47
Authors: Zhang Bin Chi , Qin Qi
Published: March 2014

As the stretch of huge fluvial-delta sediment reservoirs, the Putaohua group of block Pu47 is formed by the impact of both rivers and lakes with an obvious huge thickness, complicated serious heterogeneity and relatively lower conformity with the analysis of drill core data and oil testing. Therefore, this paper mainly does the research on rock-electro parameters lithological characters by taking the use of original data of drill core, well logging, oil testing and analysis test, etc. to optimize the rock-electro parameter and build the porosity and permeability models which will provide the reliable geology basis for future petroleum development and exploration.
Numerical Calculation of Slamming Pressure on Wet-Deck of Trimaran
Authors: Chen Liang Liang , Ren Hui Long , Feng Guo Qing , Duan Fang
Published: March 2014

Due to the air cushion and splash the slamming into the water of Trimaran connecting bridge are highly nonlinear, this paper discusses the problem of typical Trimaran sections slamming into the water by use of general finite element software MSC.Dytran. Through secondary development program implemented the initialization of water pressure, considered the coupling structural-air-water, a simulation method for connecting bridge slamming into the water has developed. The results show that the method meets the engineering precision and can give reference for Trimaran construction and operation.
Environmental Art Design Based on Digital Technology
Authors: Liu Xue Wen
Published: March 2014

This paper evaluates the environmental art design based on digital technology by analyzing its digitalization and level as well as the design process. The analysis on the straight line and free curve composition rules of digital environmental art and the verification of its feasibility provide new design strategy for environmental art design.