bluuebunny/crossref_metadata_2025 huggingface dataset:
Image Denoising with Contour-Based Directionlet Transform
Authors: Xu Huan An , Peng Guo Hua , Liu Zhe
Published: February 2014

A novel mutiscale and directionally adaptive image transform called contour based directionlet tansform is presented. Directionlet transform (DT) has shown its charming performance in image processing, but it has scrambled frequencies. Laplacian Pyramid is employed here to separate the low frequencies before applying DT for avoiding the drawback. And an adaptive threshold algorithm is proposed for denoising. Numerical experiments are performed to assess the applicability of the proposed method. The obtained results show that the proposed scheme outperforms Wavelet and Directionlet transforms in terms of numerical and perceptual quality.
An OPS Architecture of Multistage Wavelength Conversion with Shared Limited Range
Authors: Song Wen Miao
Published: February 2014

Architecture is proposed for a Wavelength Division Multiplexed (WDM) optical packet switch equipped with both limited range wavelength converters (LRWCs) and parametric wavelength converters (PWCs). A scheduling algorithm is defined to control optical packet forwarding in a synchronous scenario. Simulation results dictate that significant improvement in performance in terms of packet loss probability when compared with architectures employing LRWCs.
Research on Infrared Antireflective Characteristics of Two-Dimensional Sub-Wavelength Structures
Authors: Xu Qi Yuan , Zhao Zu Zhen , Li Yang Ping , Liu Zheng Tang , Xu Yong Jin , Zhu Yong Fa
Published: February 2014

In order to improve the transmission and durability of infrared optical materials, the antireflection characteristics of two dimensional sub-wavelength structures on infrared optical materials were investigated. The results of numerical modeling showed two dimensional sub-wavelength structures can improve the transmission of infrared optical materials over a broad band, especially pyramid structures. Then two dimensional sub-wavelength structures on Zinc sulfide were fabricated with contacting ultraviolet lithography and reactive ion etching, A substantial antireflection effect was obtained over the wavelength band 8~12 μm. To improve the environmental durability of the antireflective sub-wavelength structures, Germanium carbide film was deposited on the two dimensional sub-wavelength structures by reactive RF magnetron sputtering.
Design of Digital Broadcast Radio System Based on STM32
Authors: Li Shao Yuan
Published: February 2014

With the popularization of digital radio system, radio has also entered the digital age from the original analogue system. On the basis of the digital radio chip TEA5767 which used in the current widespread use of electronic products, this paper proposes and designs a digital broadcast receiving system based on STM32. The hardware circuit uses STM32F103VE as the main controller, with the configuration of digital radio chip TEA5767 and corresponding SD card storage module, LCD module, power module and so on; the software design adopts I2C bus to communicate and coordinate between the main controller and FM chip, achieving FM frequency and volume adjusting function. Meanwhile the μC/GUI is used to design the human-machine interactive interface. The digital broadcasting radio system has the advantages of small volume, multiple functions, low power consumption and easy to use.
Research on Skew Imaging Simulation of Frame Cameras
Authors: Li Ming , Sun Wen Bang , Zhang Feng Jing , Wu Di
Published: February 2014

Nowadays, most imaging simulation focus primarily on image quality, but the light path of an image sensor should be simulated in many application areas. So, skew imaging simulation of a frame camera has been researched in the paper. The main idea is that the pixels of a known vertical image in the vertical photosurface will be transferred to the corresponding pixels in the skew photosurface along the light path. First, several coordinate systems are set up to describe the space coordinates of a pixel. Then, the relationship between the vertical photosurface and the skew photosurface are built based on the collinearity equation. Finally, the skew image will be generated from the known vertical image by the method of indirect re-sampling. The theoretical analysis and experiment results show that the proposed method can simulate the skew imaging rule very well.
An Improved Watershed Segmentation Algorithm for Bridge Image
Authors: Li Qiang Qiang , Li Wei
Published: February 2014

In order to solve the problem of over-segmentation of traditional watershed algorithm, an improved watershed segmentation algorithm of the bridge image was proposed in this paper. First, the input image was filtered by top-hat transformation and bottom-hat transformation, and then, a multiscale algorithm for computing morphological gradient images is proposed, and the threshold for marker-extraction is automatically calculated according to the statistics of local extreme points in the gradient map. The watershed algorithm is applied on the modified gradient map to segment the image. Then, the over-segmentation regions of the initial watershed segmentation is settled by region merging based on fisher distance.Region merging is ended according to divergence principle. Many contrast experimental results verified the feasibility and validity of the method.
Highway Toll Free Release Queue Length Quantitative Algorithm Based on 3G/4G Intelligent Monitoring System
Authors: Guo Hui Min , Su Hui Lin
Published: February 2014

In this paper, on the basis of queuing theory, a quantitative algorithm of highway toll free release length using 3G/4G intelligent monitoring system is proposed in view of congestion problems of the domestic highway toll. In the algorithm, the severity of real-time congestion is divided into three levels, each level corresponds to different queue length thresholds; The central server of monitoring system can determine the congestion level at present and give the dynamic free release queue length instructions using the algorithm; Computer simulation shows that the algorithm has certain practical guiding significance.
The Principal Component Analysis of Coastal Areas
Authors: Wang Qiu Ju , Xue Da Shen
Published: February 2014

In order to development the economic of China's coastal areas better, the paper mainly discusses the coastal areas of China's consumer price factors, the main use of software SPSS, using statistical analysis, principal component analysis, analysis that the impact is the main component of consumer prices and reached the level of consumer prices in coastal areas, which is conducive to the Government to take appropriate measures to faster and better development of the region's economy.
Application Research of Neural Expert System on Tree Growth Model
Authors: Zhang Wen Qing
Published: February 2014

In order to simulate growth and development process of tree, then provide services for production management and scientific research, all kinds of tree growth models are constructed. The paper firstly considers a variety of factors affecting the growth and development of tree, then studies artificial intelligence knowledge such as neural network and expert system, uses the neural expert system to solve the acquisition and management of tree growth parameters, and design and develop tree growth management and expert system based on growth models, the models combine morphogenesis model of tree and knowledge model to provide comprehensive environmental control and management decision-making. Practice has indicated that the growth models of tree can reflect the growth of trees under different physiological and ecological conditions, and visual effect is very good.
Improving and Perfecting Project Contract Management by Synergy Management Mechanism
Authors: Zhang Shu Guo , An Hong Hao , Zhang Yu Wei
Published: February 2014

The interests of project participants are the core of collaborative. These participants such as proprietor, construction unit, subcontractor, supplier, government carry out the new management model of large span integration for maximizing their own interests. It is not only the inherent law of contemporary management development, but also an actual requirement raised in realizing the project benefit maximization. So the research of synergy model in the application of project management has important theoretical significance and practical value. The article puts forward related theory of synergy management, uses the basic thoughts of public opinion model, analyses the trend of subject selection decisions which is the feasibility of the actual implementation of synergy management mechanism, and finally builds synergy management mechanism model.
Optimal Sampling Schemes for Monitoring Large-Area Crop Rotation
Authors: Sun Ling , Zhu Ze Sheng
Published: February 2014

The aim of this study was to investigate the use of the least squares regression and integer programming as a method of defining optimal sampling area for monitoring large-area crop rotation period. It was found that using this method significantly decreased the cost for monitoring large-area rice-cotton rotation by 84% and increased only the monitoring error by 4%. This new method demonstrated potential for general applicability to monitoring other large-area crops.
A New Medical Image Segmentation Method Based on Chan-Vese Model
Authors: Ma Yuan Zheng , Chen Jia Xin
Published: February 2014

The traditional segmentation method for medical image segmentation is difficult to achieve the accuracy requirement, and when the edges of the image are blurred, it will occurs incomplete segmentation problem, in order to solve this problem, we propose a medical image segmentation method which based on Chan-Vese model and mathematical morphology. The method integrates Chan-Vese model, mathematical morphology, composite multiphase level sets segmentation algorithm, first, through iterative etching operation to extract the outline of the medical image, and then the medical image is segmented by the Chan-Vese model based on the complex multiphase level sets, finally the medical image image is dilated iteratively by using morphological dilation to restore the image. The experimental results and analysis show that, this method improves the multi-region segmentation accuracy during the segmentation of medical image and solves the problem of incomplete segmentation.
Image Characteristics Indexing Based on X-Tree
Authors: Gao Rong Hua , Wu Hua Rui
Published: February 2014

Image data set are usually very large, which might consist of millions of image objects, it is essential to use an efficient and effective indexing technique to facilitate speedy searching. The features can be expressed in terms of high-dimensional vector data which can be compared with a given query for similarity between them. It is more important that the image database should be preprocessed and establish indexing to improve retrieval efficiency. In this paper, the method of improved X-tree is proposed, design and implementation of a high dimensional index application to facilitate the speedy searching in feature based image information retrieval. Compared by retrieval efficiency and retrieval result, it is convincingly proved that hierarchical index structure based on clustering is efficient and applicable in image characteristics indexing.
Empirical Analysis on Signed Tax Treaty's Influence on the China's ODI
Authors: Wang Zai Tang , Wang Na
Published: February 2014

Tax treaty signed between countries can solve the problem of the crossing of tax right, adjust the international double taxation, prevent transnational tax evasion, resolve the international tax disputes, promote cooperation with other countries. This paper analyzes the influence of overseas direct investment based on signed the tax treaty.
Comparison of LLE and PCA Algorithms for Gene Expression Data Analysis
Authors: Chen Xiao Zhou , Yang Fan , Li Hua Mei , Chen Jun Hua
Published: February 2014

According to the problem that the linear dimension reduction is not effective to understand gene expression data. using the manifold learning as a guide, analysing dimensionality reduction of gene expression data, selecting colon cancer and leukaemia gene expression datasets for investigation, using inter category distances as the criteria to quantitatively evaluate the effects of data dimensionality reduction. Experiments show that LLE algorithm is more suitable method for the gene expression data. The LLE analyses indicate that there is a clear distinction boundary between the healthy people and the cancer patients.
An Ontology Construction Method for Knowledge Organization in Interdisciplines - Taking “Discipline of Computer Science and Technology” as an Example
Authors: Zheng Yi , Ying Shi
Published: February 2014

The existing construction methods for knowledge organization rarely address the development trend of interdisciplinary cross and fusion. In this paper, we propose a method of ontology construction to address fusion of subjects knowledge for the knowledge management of interdisciplines. We apply this method to the discipline of computer science and technology as a concrete case, highlight the parts of collecting and analyzing interdisciplinary knowledge, and determine ontology concepts of discipline knowledge and their relationships to emphasize the cross and fusion of discipline knowledge.
Research on Frame Synchronization of OFDM System
Authors: Wang Wen Bin , Liu Dao Yuan , Yao Yu Qin
Published: February 2014

Synchronization is very important for any digital transmission technology. It can almost be said the core of any control system, so the synchronization algorithm is precisely the premise to transmit data correctly. This point is especially important for OFDM system. Synchronous error is the biggest shortcoming of OFDM system, the performance of the receiver is closely related to if we can get the accurate synchronization signal.
The Implement of B-Ultrasonic Image Acquisition Based on Camera Interface
Authors: Gao Xiao Ming
Published: February 2014

B-ultrasonic is widely used in medical diagnostics and other fields, because of its non-invasive, no radiation, etc. Early B-ultrasonic with analog imaging system cant achieve B-ultrasonic image processing, data storage and other operations. With the development of computer technology and electronic technology, Digital B-ultrasonic systems are increasingly used in actual diagnosis, the paper through the use of digital imaging system to achieve B-ultrasonic front ultrasound imaging, reuse embedded microcontrollers Camera interface for B-ultrasonic acquisition of image data, and on this platform to achieve a B-ultrasonic application software development. System testing show that the system data acquisition is stability, and easy to operate, reliable, also can be widely used in medical and industrial ultrasonic fields.
Key words: B-ultrasonic; Data Acquisition; Camera; Digitizing
The Character Recognition of Vehicle's License Plate Based on BP Neural Networks
Authors: Liu Wen Bo , Wang Tao
Published: February 2014

This paper based on license plate image preprocessing ,license plate localization, and character segment ,using BP neural network algorithm to identify the license plate characters. Through k-l algorithm of characters on the feature extraction and recognition of license plate character respectively then taking the extraction of license plate character features into the character classifier to the training. When the end of training, extracting the net-work weights and offset matrix, and storing in the computer. To take the identified character images input to the MATLAB, and with the preservation weights and offset matrix operations, obtain the final results of recognition.
An Non-Contact Speech Enhancement Algorithm Based on Lifting Scheme
Authors: Xue Hui Jun , Li Sheng , Jiao Teng , Zhang Yang , Lv Hao , Yu Xiao , Lu Guo Hua , Zhang Hua , Wang Jian Qi
Published: February 2014

The traditional method for detecting speech signal needs the help of microphone, which must be placed closely to the body of human beings. To some extent, this method would bring several inconveniences. Non-contact speech detection method breaks through the limitation of the traditional method, this new kind of speech obtaining method can detect speech signal quite well even in strong noisy background. However, this non-contact speech detecting system also produces some electromagnetic noise and circuit noise, which reduced the quality of radar speech signal. Therefore, based on the good time-frequency analyze performance, the lifting scheme was also proposed in this paper to remove noise from radar speech. Comparing to classical enhancement algorithm, such as spectral subtraction and Wiener filter, the proposed algorithm can remove the component of noise availably and reserve the original pure speech signal in a promising way.
Method of Ultrasonic Signal De-Noising Based on Lifting Wavelet Improved Threshold
Authors: Bi Zhou Yang , Chen Jian Hui , Ju Wen Jie , Wang Ming , Li Ji Chen
Published: February 2014

The article established the mathematical model of ultrasonic flaw echo signals. First, the basic theory of wavelet transform is introduced, the principle of the wavelet threshold de-noising method is analyzed; Then on the basis of soft and hard threshold function, the paper proposes a method based on lifting wavelet de-noising. And from two aspects of signal-to-noise ratio (SNR) and mean square error (MSE) the de-noising performance is analysed. The results show that the method improved the shortcomings of soft and hard threshold de-noising method, and got a better de-noising performance and higher signal-to-noise ratio. So in real-time signal de-noising aspect the lifting wavelet has a very good application prospect.
New Model with Spring and Simulation of Flexible Manipulator
Authors: Tian Ying , Qian Jian Hua , Liu Qing Song , Yuan Jie
Published: February 2014

For easily calculated and more accurate dynamic model of single flexible manipulator, a new model was built through connection of spring and two rigid bodies. It is approximate to the real model of single manipulator in trajectory of end point. With simplifying manipulator and introducing simplified and Predetermined elastic energy of manipulator, Lagrange equation was used to built dynamic model based on the new model. And based on dynamic model, computer simulation result of dynamic parameters with Matlab software proved that the new model is available simple and easily-adjusted.
A Power Supply On-Chip with Low Power Dissipation for Low Power Digital Integrated Circuit Applications
Authors: Zhang Hai Peng , Yang Shao Dan , Yin Ya Dong , Wang De Jun
Published: February 2014

An implementation method of a power supply on-chip (PSOC) was presented for low power digital integrated circuit (IC) applications in this paper. The PSOC consists of a main power supply and a backup low power dissipation power supply, which is featured of micro-standby power consumption and fast switching. The PSOC was designed according to the design rules of SMIC 0.18μm CMOS process and validated both through simulation and silicon verification. The active area is about 0.035mm2 in fact. Post-layout simulation results indicate that output voltage of the PSOC is regulable in the range of 1.52~2.5V as input voltage is in the range of 2.0~3.6V, in which output of the main power supply is regulable in the range of 1.75~ 1.84V. The maximum quiescent current of main power supply is 16.23μA, while the maximum quiescent current of standby power is only 0.552μA. Experimental results indicate that the PSOC is capable of providing energy for the system digital IC implementation. Its power switching time is less than 148μs at the load capacitance of CL =56nF.
SWOT-Based Research on the Environment of Solar Electrical Energy Generation in China
Authors: Hu Yan Li , Liang Jun
Published: February 2014

With the growing global demand for energy and the prominent conflicts among resources,environment and global warming issues,governments have attached great importance to the study of solar power generation.In this case,it is crucial to study the internal and external environment of the solar power industry in China.This article described the current situation of solar power generation and its importance on energy supply in the future,and the advantages,weaknesses,opportunities and threats of solar power generation in China was analyzed based on SWOT method,which pointed out a direction of the solar power research and provided references for design.
A Novel Method to Automatically Generate Depth Maps Based on Trace Points
Authors: Zhao Tian Qi , Sang Xin Zhu , Liu Yang Dong , Yu Chong Xiu , Xu Da Xiong , Yu Xun Bo , Shi Guo Zhong
Published: February 2014

A novel method to automatically generate the depth map is presented, when the depth maps of reference images located before and after the target image in the same image sequence are given. A novel grid dividing method and a joint feature response model are proposed to adaptively select trace points, and an image deformation algorithm is given to track depth maps with the trace points. Experimental results show that the proposed method can generate depth maps effectively and accurately, which can meet the industrial needs in 2D-3D conversion.
Effect and Control of Pendular Motion of Abandoned Satellite on Tether Drag System
Authors: Zhao Guo Wei , Tang Bin , Sun Liang , Zhang Xing Min
Published: February 2014

As a kind of typical on-orbit capture and aberrance technology, space tether de-orbit system has broad application prospect in terms of cleaning space debris and abandoned satellites. In the paper, the attitude dynamics equations of the tether de-orbit system is established based on law of moment of momentum; Against the background of de-orbiting under a constant thrust in the tangential direction, the optimized PD control law with limited attitude feedback on jet control and momentum wheel control is designed for the mission satellite; The oscillation characteristics of the attitude of abandoned satellite are studied, and the effect of the oscillation on the tethered system and based satellite are analyzed; According to the demand for maintaining the position and suppressing the oscillation of the abandoned satellite, a kind of tension control method is put forward. Numerical simulation results indicate that the abandoned satellite oscillates at a specific angular frequency, and the large amplitude threatens the stabilization of tethered system; the designed tension control method effectively eliminate the oscillation of the abandoned satellite and ensure the flight safety of the tether de-orbit system, with economic energy consumption for the control of the based satellite.
Attitude Control for Ducted Fan UAV Based on Sliding Mode Adaptive Algorithm
Authors: Ren Xiao Lu , Wang Chang Hong , Yi Guo Xing
Published: February 2014

According to the complicated condition and special dynamic performance of the Ducted Fan UAV, a nonlinear multiple input and multiple output control method is designed. This method is based on the sliding mode adaptive theory. Introducing the integral term, this method can work without the derivative value of the tracked signal; even the derivative doesnt exist or cannot be got. The adaptive control can identify the uncertain parameters and external disturbance, and adjust the controllers parameters real-time. Using a low-pass filter can effectively inhibit the chattering phenomenon in sliding mode control system. The Ducted Fan UAV attitude is controlled by this method. The simulation results show that this method has strong robustness and good tracking performance.
Analysis on the Host System for HZS150 Type Mixing Station
Authors: Gao Hu
Published: February 2014

Along with the advancement of urbanization in our country, the basic construction of Zaozhuang Tengzhou city is also just in the booming development and the concrete machinery as well immediately develops stronger. Although the production enterprises of concrete batching plant and concrete mixing building are numerous, there exists a great shortage in the mixing station because of limitation from regional economy. From the design of the host of the HZS150 agitating shaft, the author mainly introduces the designs of the host, the host agitating shaft, the host body, as well as the design of the sealing device when assembling. The designs basically meet the expected requirements.
Analysis of current situations
Along with the advancement of urbanization in our country, the basic construction of Zaozhuang Tengzhou city is also just in the booming development, and the concrete machinery as well immediately develops stronger. Although the production enterprises of concrete batching plant and concrete mixing building are numerous, there exists a great shortage in the mixing station because of the limitation from regional economy. Begining with the design of the host of the HZS150 agitating shaft, the author hopes to give rise to more public discussions and get more criticisms from other authors.
Double horizontal shaft forced type concrete mixer
Taking into account the requirements for security, economic and production efficiency of the host design, the article chooses double horizontal shaft forced type concrete mixer.
GPS Precision Orbit Determination from Combined Ground and Space-Borne Data
Authors: Yuan Ye
Published: February 2014

The mathematical model of the combined orbit determination is given in this article, and the results of six experiments are used to demonstrate the contributions made by the borne observation value of LEO satellite to the GPS precision orbit determination. The results of these experiments indicate that the accuracy of the GPS satellite orbit can be improved by 40% on average by adding the observation data of three LEO satellites, when compared with the orbit determination results by only using forty-three ground tracking stations.
Research on Inland Vessels Remote Monitoring System Based on 3G Network
Authors: Zhou Liang , Cao Nan Ya , Xia Wen Yu
Published: February 2014

According to the situation of inland navigation, to explore the ship remote monitoring system based on 3G mobile communication network, to achieve the long distance identification and monitoring of inland vessels. This paper proposes an overall solution, including smart phone terminal, 3G communication network, Internet network monitoring and management center. The program is an effective supplement of AIS and VTS. The system components and functions are analyzed; this paper deems that the establishment of the system not only for have an important role to improve the safety of navigation, and can greatly reduce investment and has high feasibility.
The Research of Flight Collision Risk Based on Random Factors
Authors: Zhang Zhao Ning , Jia Ai Ping
Published: February 2014

Using the method of stochastic differential equations to analysis two aircrafts and to establish the aircraft flight collision risk model. First the relative position and speed of the aircraft on the joint distribution density should be confirmed, and convert it into a Gaussian density to simplify the calculation of nonlinear filtering theory, and then use the method of stochastic differential equation to establish flight collision risk model, and also includes the introduction of how the CNS performance of random factors, human factors and avoidance system performance affect the flight collision. After verifying the collision risk in the example, the results show that the model is feasible.
The Simulation of Rusty Phenomenon Based on Image Texture Feature
Authors: Zhang Yin Xia , Geng Guo Hua , Zhou Ming Quan
Published: February 2014

The simulation of aging appearance is essential in the realistic modeling, We propose a method using existing aging image to simulate aging appearance, We establish the classification library, extract the texture feature of different types aging and save them, set the weight of the texture feature and synthesis texture according to the environment. In addition, user can specify the constrained texture mapping position optionally. This method can simulate various rusty phenomenon simultaneously. It can also be combined with physically-based method and ton spreading-based method to implement rendering of realistic 3D model rapidly.
A Logical System of Metaphor Understanding within Context
Authors: Zhu Min
Published: February 2014

The research of metaphor understanding is a significant field of cognitive science. Metaphor plays an important role in natural language discourse. There is a close relationship between logic and metaphor. Metaphor can be described by epistemic logic. In this article, we try to put forward a logical system to describe metaphor understanding within context. First, we introduce some basic concepts of this metaphor understanding logical system. Then, a logical system of metaphor understanding within context is constructed, including the language, semantics, axioms and so on. Finally, some discussions about this logical system are showed.
Saturation Model and Phase Recovering for Phase Measuring Profilometry
Authors: Sun Ji Rong , Zou Wei
Published: February 2014

Phase measuring profilometry is a method of structured light illumination whose three-dimensional reconstructions are susceptible to error from intensity saturation. Phase error caused by intensity saturation of fringe patterns is studied in this work. A mathematical model is derived for recovering saturated intensity by means of other patterns without saturation, and thus we can decrease the phase error introduced by the saturation. Both simulation and experiment results show that the phase error arisen from intensity saturation can be efficiently suppressed with the proposed algorithm.
Stepped Frequency Radar Target Recognition Using Locality Preserving Projections
Authors: Chen Kun , Li Yue Hua
Published: February 2014

In this paper, the idea of manifold learning is introduced into Stepped Frequency Radar (SFR) target recognition, a new method based on Locality Preserving Projections (LPP) algorithm and k-nearest neighbour classification for Stepped Frequency Radar target recognition is proposed. LPP is a subspace analytical method based on manifold learning, which is used to reduce the dimension of the High Resolution Range Profile (HRRP) and extract features from HRRP. The feature extraction method by LPP not only preserves the global topology structure, but also captures the local information of the different targets. Then three kinds of target are classified by k-nearest neighbour classification after the LPP. Experimental results on the three different targets suggest that the proposed method has the capability of finding the low-dimensional manifold structure embedded in the high-dimensional HRRP space and can provide a higher recognition rate in Stepped Frequency Radar target recognition.
RFID-Based Card Reader Design
Authors: Wang Bin
Published: February 2014

This paper designs an RFID-based reader of which functional module and hardware design are also comprehensively described. The interface circuit between MCU and MF RC500 which is also the invitation point effectively solves the difficulty in RF interface circuit design. The proposed reader is applied in the smart-card system of campus and property management system and has great performance.
The Research on the Multiple Perspectives Analysis of Study Object
Authors: Ling Li Ming , Liu Xue Peng
Published: February 2014

Function mechanism of object system is analyzed from the formation, the release and the stimulation of the function. The characteristics of holographic property, symbiosis property, isomorphism and the characteristics of different level are put forward. The whole "object system" is analyzed as a general characteristic of the system
Process Monitoring System Based on Anomaly Detection Statistics Algorithm
Authors: Zhang Li Juan
Published: February 2014

In order to find more efficient and handle the internal network threat with the LAN network threat warning and real-time processing, remote process monitoring and management of computer systems is used in this paper. By getting the system process handle on the local computer, realizes the acquisition of the threat source information of the system. By customization of the application layer protocol AMCP, realizes the efficient information transmission between server and client. In order to enhance the reliability of the system security threat model, the System security threat information is analysised with the anomaly detection algorithm based on statistics. Analysis of the test data shows that: through getting the system process handle on the local computer, the system treating information can be obtained. Through the security threat model based the anomaly detection algorithm based on statistics, network threat is dealed efficiently and real time.
Prediction for Burned Area of Forest Fires Based on SVM Model
Authors: Xie Dao Wen , Shi Shi Liang
Published: February 2014

Forest fire spreading is a complex burning phenomenon, and it is difficult to build a general spreading model for the fires occurred in different area over the world, even in the same country. Accordingly, predicting the burned area of forest fires is also a challenging task. In this work, five attributes (i.e. forest fuel moisture content, forest fuel inflammability, forest fuel load ,slope and burning time) are selected as input to predict burned area of forest fires occurred in the area of Guangzhou City in China. Next, using Data Mining (DM) technique, an SVM (Support Vector Machine) model was built and applied to deal with this type of a regression task, predicting burned area. Results showed that the selection of input attributes was reasonable, and the proposed SVM model was suitable for prediction of burned area, with higher precision, better generalization. This work provided a new way to deal with predictions for burned area of forest fires.
Controlling of the Pollution Based on a Prediction Model
Authors: Yang Jing Mei , Zhao Xiang Hui
Published: February 2014

Controlling of the pollution plays an important role in environmental monitoring. This paper proposed a prediction model for the evolution of pollution in a certain region. With the statistic data of the pollution in this region, several parameters can be determined. With solving the related partial differential equation, the evolution of the pollution in next days can be predicted. Then some efficient measures can be adopted for controlling. The efficiency and the accuracy of the proposed model are shown in presented numerical examples.
Study on the Fluidic Parameters of Supercritical CO2
Authors: Gao Xing Yong , Liu Guo Qing , Chang Wen Ping
Published: February 2014

Supercritical CO2 is nontoxic, nonflammable, noncorrosive, inexpensive, and does not generate any additional toxic or hazardous wastes. In this article, the fluidic parameters of supercritical CO2 and water fluidic are calculated by related equations. The results show that the fluidic impact force of supercritical CO2 fluidic is higher than water fluidic, which indicates that using supercritical CO2 fluidic to dispose the obsolete propellant is possible.
Research on the Bearing Capacity of High-Strength Steel Tubular H-Joints in High-Voltage Transmission Lines
Authors: Xu Yun
Published: February 2014

The steel tube-plate joints are widely applied in tall-slender tower of transmission line engineering,but there are few studies at home and abroad. In this paper,experimental study with full-scale model and analysis based on FEM were carried out on the ultimate bearing capacity of typical h-joints , and the results showed that the bending moment was transferred to the chord from the ear-plate of a narrow area, which led to local buckling on the chord wall , so the local strength of chord is one of the most important control factors in the design of this typical joint;thus the bearing capacity can improve by enhancing the strength of steel or increasing the thickness of ear-plate. In view of the phenomenon that stress concentration is easy to emerge at the intersection of the steel tube-plate joints, some improvement measures for the connections are put forward,such as adding outer half-ring stiffening plates , adding outer-ring plates , adding inner-ring plates, and revising ear-plates to smooth the concave angle , etc.
An Accurate Prediction Method for Budgets of Large Construction Project
Authors: Jiang Ling , Du Juan
Published: February 2014

Accurate budget estimation is an important prerequisite to guide the project. The traditional method using a linear estimation model can not accurately reflect the contribution of each component to the budget estimation of the entire system, leading to poor estimating results. This paper proposes an accurate project budget estimation model based on chaotic post-processing SVM-PCA (Support Vector Machine-principle Component Analysis). On basis of SVM model, the model filters redundant information in the system to ensure the input information data contribution rate. Then after output the data, chaotic post-processing method is adopted to smooth irregular characteristics of the data, in order to ensure the accuracy of the budget estimating model. Finally, five projects in a group of 10 categories elements are used to conduct estimating budget experiments. Experimental results show that the project budget estimation model based on chaotic post-processing SVM-PCA can accurately estimate the core consumes of each project, therefore has great value in engineering.
A Fabric Simulation Optimization Method Based on Intelligent 3D Vision Technology
Authors: Shen Chen
Published: February 2014

Subjected to the randomness of motion state, simulated three-dimensional coordinates of the fabric will displace during moving. Mutation in motion state significantly increases the 3D randomness of fabric motion parameters, so that the three-dimensional coordinates of the fabric change in neighborhood leading to non-realistic simulation effect. To solve the problem, the paper proposes a three-dimensional visual fabric simulation algorithm based on feature matching and energy constrained estimation. It adds a certain area constraints to deformation and direction randomness of the fabric in motion in accordance to the estimation of the fabric's characteristic parameter; uses fabric model and characteristic groups to limit the moving scope to realize the true 3D computer simulation for the fabric. Experiments show that the method can realize three-dimensional fabric simulation with high fidelity.
Multi-Valued Decision Diagram Based Reliability Analysis of Demand-Based Warm Standby Systems with Imperfect Fault Coverage
Authors: Peng Rui , Zhai Qing Qing , Shi Lei , Yang Jun
Published: February 2014

In many real-world applications, warm standby redundancy is a commonly applied technique that can compromise recovery time and energy consumption in the fault-tolerant system design. It is considered as a generalization of cold standby and hot standby techniques and has attracted lots of research attentions. In this paper, a demand-based warm standby system subject to imperfect fault coverage is studied. The demand-based system consists of components with different capacities and fails if the cumulative capacity of working components is lower than the desired system demand. To adapt to different fault covering mechanisms, this paper considers two different kinds of fault coverage models, i.e. element level coverage and fault level coverage. A multi-valued decision diagram based approach is proposed to analyze the system reliability. The suggested method is combinatorial and has no limitation on the type of time-to-failure distributions for system components. An example is presented to illustrate the application and advantage of the proposed method.
Photon Correlator Implemented by Field Programmable Gate Array
Authors: Qi Xing Guang , Zhang Yan Min , Li Qing Hua , Wang Ning
Published: February 2014

Photon correlation technique is an effective method for measuring the particle size of sub-micron particles and nanoparticles. This technology has a good prospect and commercial value. Photon correlator is used in photon correlation spectroscopy experiment to gain the photon correlation function. In order to obtain the accurate values of the photon correlation, efficient and accurate photon correlator must be designed. This paper presents one kind of photon correlator implemented by FPGA. The programming language used is Verilog HDL. The software design and system simulation are completed in the integration circumstance of ISE. The photon correlator can meet the different requirements of photon correlation.
Modal Analysis of Machine Tool Spindle under Uncertainty
Authors: Dou Wei , He Xiao Cong , Yuan Sheng Wan , Zhou Sen
Published: February 2014

Based on the Timoshenko beam theory, the dynamics model of a spindle system is constructed. The Young’s modulus of the material and the stiffness of bearing are considered as random variables for a Monte Carlo simulation about the spindle system’s first nature frequency. The simulation results shows that the statistical attribute of these parameter introduce variation to the systems dynamics property. The reliability of avoiding the spindle resonance is then calculated.
The Application of Crime Network Conspirator Finding Model
Authors: Zhou Yu , Lu Xin Zhong
Published: February 2014

This paper discusses how to find out conspirators when only know the topics of messages they sent and received. In order to determine the weight of every topic, we establish AHP model and CNC (Crime Network conspirator finding) model to define possibility, which includes three parameters: the relative connection degreeC(h) , the relative intermediate degree I and the I(h)relative tightness degreeT(h). After that, obtaining scores by synthesizing these three degrees and get a prior list. Through analyzing the list, we can determine the suspected conspirators.
Research on Volumetric Error Measurement, Modeling and Compensation for NC Machine Tools
Authors: Zhang Hong Xin , Guo Qian Jian
Published: February 2014

With the increasing requirements of the machining accuracy of CNC machine tools, the impact of thermal deformation is growing. Thermal error compensation technology can predict and compensate the thermal errors in real-time, and improve the machining accuracy of the machine tool. In this paper, the research objects of thermal error compensation is expanded to the volumetric error of the machine tool, the volumetric error modeling of a three-axis machine tool is fulfilled and a compensator is developed for the compensation experiment, which provides scientific basis for the improvement of the machining accuracy.
Research on Forming Theory of Arc Transition Edge Surface of Indexable Insert
Authors: Peng Ming Jun , Wang Meng Meng , Yao Bin , Song Yin
Published: February 2014

Generally, the indexable inserts carry out work with arc transition edges, which have a wiping effect on surface under processing and reduce the roughness of the surface. [ However, existing literatures lack research on the forming of arc transition edge surface. In this paper, the unified mathematical model and forming methods of different arc transition edge surfaces were presented, which can be used for other forming process. The mathematic models deduced would lay the most important foundation for manufacturing indexable inserts automatically. The models presented could also be extended for study on some complicated transition surfaces. Finally, the simulation was done and the result verified the theoretical derivation.
Sensing Characteristics of Long-Period Grating Inscribed in Grapefruit Photonic Crystal Fiber by Femtosecond Laser
Authors: Wei Yuan , Du Yu Jie
Published: February 2014

A novel method for fabricating long period grating in grapefruit photonic crystal fiber (GPCF) is proposed and demonstrated. An 800nm femtosecond laser is adopted to scan a section of GPCF periodically point-by-point, resulting in effective refractive index periodic demodulation. High resonance of ~17dB is obtained with a grating length of 30 mm. The temperature sensitivity of resonant wavelength 0.03 nm/°C is obtained from 20°C to 120 °C. In addition, the relationship between resonant wavelength and surrounding refractive index (SRI), when LPFG immersed in refractive index of solution of different index, is also researched.
Research Process of Remanufacturing Standard System
Authors: Zhou Xin Yuan , Shi Pei Jing , Wang Wen Yu , Liu Bo Hai
Published: February 2014

In order to develop remanufacturing industry in China, building a perfect system of remanufacturing standard is an urgent need, which can ensure the stable and reliable quality of remanufacturing product. In this paper, a system framework of remanufacturing standard was put forward, based on the demands of remanufacturing industry development in China. Remanufacturing standards were divided into three levels, such as generic technology standards of cross-industry, important industry and major products. And then the remanufacturing standard system was analyzed and explained.
The Application of RAKE Receiving Technology in the Underwater SS Communication
Authors: Zhu Yun Hang , Deng Zhi Hui
Published: February 2014

In recent years, the strategic significance of the oceans is growing as well as its research and development needs. The underwater wireless communication is becoming more and more important. The underwater acoustic communication is one of the few mediums which can conduct the underwater transmission over a long distance, and the multipath effect is the major obstacle of affecting the systems high speed and high reliability. The characteristics of underwater acoustic fading and coherent multi-path channel are studied, and the model of underwater acoustic spreading spectrum (SS) communication system is established. The affect of coding technique on the systems performance are analyzed in detail. The improved RAKE receiving technical solution is put forward, whose simulation analysis and data in different combining ways are given. It is proved that the scheme can better solve the problem of multipath interference in underwater acoustic transmission.
Construction of Ecological Function Evaluation Index System for Linghe Estuarine Wetland Natural Reserve
Authors: Cheng Qian , Zhou Lin Fei , Zhang Yu Long , Wang Tie Liang
Published: February 2014

Based on the structural characteristics of the wetland ecological environment, we analyzed and evaluated the ecological functions of Linghe estuarine wetland quantitatively with methods of AHP and index judgment. The results showed, functions of regulating floods, biological products and soil conservation played relatively important role. The complex function of Ling estuarine wetland is in common level; the ecosystem is relatively stable to play fundamental ecological functions. AHP method made the ecological function indicators that are difficult to quantify more simple and intuitive. The article developed a new way of planning, management and conservation of the wetland with AHP method in sustainable development of Linghe Estuarine wetland.
Pollutant Governance Management Based on the PM2.5 Concentration Decay Model
Authors: Yuan Yu , Han Wei , Wei Yong Chao
Published: February 2014

Based on the variation of PM2.5 concentration in the atmospheric, Logistic model was selected to the established PM2.5 concentration decay model. According to the provision of Technical Regulation on Ambient Air Quality Index (on trial), the results of the decay model was modified and then the pollutants governance indicators were determined. Furthermore, while trying to reduce the content of PM2.5 as well as making the presence of other contaminants in the atmospheric as little as possible, the funds optimization model combining comprehensive treatment fees with special treatment fees to invest was established and annual funding for each project was identified. In practice, priority should be given to the local main pollutants, combined with local conditions, and then determine the management investment plan.