bluuebunny/crossref_metadata_2025 huggingface dataset:
CFD Prediction of the Effects of Surface Roughness on Elastohydrodynamic Lubrication under Rolling/Sliding Conditions
Authors: Gao Shian , Srirattayawong Sutthinan
Published: June 2012

The surface roughness plays an important role in elastohydrodynamic lubrication (EHL). To improve the lubrication system the flow behavior and lubrication mechanism must be understood, especially in the thin film classification. The effects of surface roughness in the EHL problem are complicated and difficult to measure by experiment. Therefore numerical simulation using the computational fluid dynamic (CFD) approach is proposed in this research. The CFD model developed has taken the arbitrary surface roughness into consideration, and has been used to predict the characteristics of fluid flow, such as the pressure distribution, the minimal film thickness and the shear stress. The cylinder is considered to be under elastic deformation according to the theory of Hertzian contact and the surface of cylinder is defined to have an arbitrary roughness. The simulation results show that the surface roughness has significant effects on the pressure profile and shear stress, especially in the case of pure rolling, where the two parameters in the rough surface case show large fluctuations that are much higher than the corresponding smooth surface case.
A Study of Tribological Properties of Polyphenylene Sulfide Composities Reinforced with CNT and CNF
Authors: Guo Li , Zhu Huan Qin , Sun Yuan Bao
Published: June 2012

The tribological properties of polyphenylene sulfide (PPS) composites reinforced with carbon nanotube (CNT) and carbon nanofiber (CNF) were studied. Sliding tests in a pin-on-disk configuration were used to study the tribological properties. The wear rate of reinforced composites in the early part of sliding was lower than that of PPS but over extended sliding the reinforcement was not effective in reducing the wear rate. The coefficient of friction was not greatly affected by the presence of CNF and CNT. The lack of transition from run-in to steady state wear was attributed to the increased wear rates of PPS composites.
Experiment Research on Cutting Performance of High Volume Fraction SiCp/Al Composites in Rotary Ultrasonic Machining
Authors: Liang Gui Qiang , Zhang Jian Fu , Feng Ping Fa , Yu Ding Wen , Wu Zhi Jun
Published: June 2012

High volume fraction silicon carbide particulate reinforced aluminum matrix (SiCp/Al) composite are new class of difficult-to-machine materials due to their high strength. This paper presents an experimental investigation on the machinability of 60 vol% SiCp/Al composites by comparing the rotary ultrasonic milling method with the conventional machining method. The test scheme is designed, and the measurement method of the cutting force, surface roughness and morphology are illustrated. Based on the constructed experimental platform, the influences of machining parameters, such as cutting speed, feed rate and cut depth, on the cutting force and surface roughness are discussed. The experimental results show that ultrasonic machining is an effective method for machining high volume fraction SiCp/Al.
Experimental Investigation into Electrorheological Fluid-Assisted Polishing of Glass-Ceramic
Authors: Zhao Yun Wei , Zhang Lei , Yang Zhuo
Published: June 2012

A series of experiments are conducted to polish glass-ceramic by a circular-type integrated electrode tool in the electrorheological(ER) fluid-assisted polishing process. In this study, the microstructure of fibrous columns formed by particles perpendicular to the electrodes is observed when the electrical field is applied. The mass of ER polishing fluid gathered on the tip of tool electrode and the normal pressure in polishing area are measured by the dynamometer. The influential regularities of the concentrations of abrasive particles, the applied voltage, the spindle rotational speed, mixing ratio for abrasives and the gap between tool electrode and workpiece on the surface roughness are obtained by experiments.
Flexural Behavior of Void Reinforced Concrete Slab with CFRP Reinforcing Bars
Authors: Kim Seung Hun
Published: June 2012

Use of hollow material in slab can reduce self-weight and deflection than solid slab with CFRP reinforcement. This study was intended to evaluate the bending performance of void flexural members with CFRP reinforcements by bending tests. Test results showed that specimens with void and solid section had the similar failure mode by concrete crushing at the compression zone, and that there was a big flexural capacity difference between the two section. Flexural capacity of solid section with CFRP bars was increased by 55% for void section. Thus, for the design of flexural members with CFRP bars by concrete crushing failure, it is important to calculate the exact distribution of strains and stresses, and to consider the reduction of flexural strength of void section.
Optimal Design of the Mechanical Device for a Photovoltaic Tracking Mechanism
Authors: Ionită Monica Alina , Alexandru Cătălin
Published: June 2012

Increasing the conversion efficiency of the solar energy into electricity is one of the most addressed topics in the field of renewable energy systems. In this paper, the pseudo-azimuthal tracking mechanism for a PV platform it was selected for presentation. The study is focused on the optimization of the mechanical device model of the tracking mechanism (developed with the MBS software environment ADAMS of MSC). The optimization is based on the parametrization of the model by using the design points that define the locations of the geometric constraints (i.e. the joints). The objective of the optimization is to minimize the motor force developed by the driving source, which is a linear actuator. In addition, a design constraint is used to limit (restrict) the value of the pressure angle. The optimization study leads to the minimization of the energetic consumption during tracking, with positive effect on the energy balance of the photovoltaic system with sun tracker.
Mechatronic Designed Hydraulic Positioning System
Authors: Avram Mihai , Duminică Despina , Gheorghe Viorel , Bucşan Constantin
Published: June 2012

The paper presents the hardware structure of an original hydraulic positioning system based on a mechatronic approach. Dedicated control algorithms are also presented.
Effect of Dry Binders on Mechanical Properties of Ketoprofen-Cyclodextrin Extended Drug Release Systems
Authors: Stamate Monica Cretan , Gafitanu Carmen , Stamate Ciprian , Gafitanu Eliza
Published: June 2012

In this paper, the mechanical properties of extended drug release systems were studied. A binder is a material that is added to a formulation in order to improve the mechanical strength of a drug release system. The drug release systems investigated were cylindrical tablets containing mixtures of various ketoprofen types and binders. Among the binders used were a series of different molecular weights of kollidon va 64, carbopol 971 pnf, hydroxypropyl methyl cellulose and sodium carboxyl methyl cellulose. The samples were made in the form of cylindrical tablet of about 9 mm in diameter and containing different mixtures of drug substances and excipients in three formulations. Mechanical parameters such as hardness, tensile stress and friability were studied in order to determine how they are influenced by binder and how it influences wetting and disintegration of tables.
Measuring the Flanks of a Bevel Gear Made by Heidenreich-Harbeck Cutting Machine
Authors: Erzsebet Faluvegi , Csaba Zoltan Mate , Luciana Cristea
Published: June 2012

This paper presents the mathematical model of the straight bevel gear flanks with octoid II teething which is measured with a coordinate measuring machine, type DEA Global Performance. The mathematical model is realized by theoretical equations which occur in the face gear. The experimental data, obtained by using the coordinate measuring machine, is analyzed and the compensation of the probe tip is calculated. The differences between the surfaces are determined.
Earthquake Prediction Research Based on the Mining in Time Series of Groundwater Temperature
Authors: Zhang Jian , Lu Yi Lin , Wu Shao Chun
Published: June 2012

Earthquake prediction has always been an extremely important and difficult research topic. A road map was proposed in this paper to capture useful information for earthquake prediction by exploring the time sequence data of groundwater temperature. Firstly, the triangle extreme points and the trend turning points are employed for the piecewise linear representation of the time series data. Then the segmentation is classified and symbolized by slope, and symbol sequence is simplified further according to the simplification rules. Finally, the earthquake catalogue data and the symbol sequence are jointly preprocessed with a new method to form transaction-like data, which then be treated by association analysis to extract earthquake prediction knowledge. The results of experiment show that this processing flow is an effective way to provide valuable information about earthquake prediction.
The Implementation of Trusted Computing Based Network Trusted Management Information System
Authors: Lu Hui Hong
Published: June 2012

In this paper, the application of Trusted Computing Platform is discussed. It is pointed out that the purpose of network management information system by trusted Computing platform is to set up a trusted network system. Based on the analysis of the environment of the trusted network information management system, we employ a trusted computing model in the information system of graduate student at our university. The implementation of network trusted management information system indicates that this method will improve the security of information system.
Research on Farmland Information Acquisition System Based on IoT
Authors: Duan Yan E , Niu Xiang Jie
Published: June 2012

Agricultural information technology (AIT) has been broadly applied to every aspect of agriculture and has become the most effective means & tools for improving agricultural productivity. As an important sub-technology of AIT, the using of technology of Information Acquisition directly affects the degree of agricultural informatization and accuracy of agricultural production’s decision. In this paper, on the basis of introducing the characteristics of farmland production and traditional data collecting method, the designing architecture of farmland information acquisition system and related core technologies was discussed in detail.
The Redevelopment of Matrox Meteor-II/Digital Image Grabbing Board with VC++
Authors: Liu Cai Fang , Hu Bing Liang , Wang Cai Ling , Liu Lei
Published: June 2012

In order to store real-time images, a digital image grabbing system is proposed in this paper. The principles and design of real-time image continuous grabbing, displaying and storing system are presented. It has been redeveloped based on Matrox Meteor-II /Digital Image Grabbing Board by the use of VC++, and the whole implementation was introduced by an example. The developed image capture software is given at the end of this paper. And this gives a new thought and platform for real-time image processing.
Improvement of Fractal Image Compression Coding Based on Quadtree
Authors: Hu Hong Tao , Liu Qi Fei
Published: June 2012

The goal of image compression is to represent an image with as few number of bits as possible while keeping the quality of the original image. With the characteristics of higher compression ratio, fractal image coding has received much attention recently. However, conventional fractal compression approach needs more time to code the original image. In order to overcome the time-consuming issue, a Quadtree-based partitioning and matching scheme is proposed. During the partitioning phase, an image frame is partitioned into tree-structural segments. And during a matching phase, a rang block only searches its corresponding domain block around previous matched domain block. Such local matching procedures will not stop until a predefined matching threshold is obtained. The preliminary experimental results show that such sub-matching rather than a global matching scheme dramatically decreases the matching complexity, while preserving the quality of an approximate image to the original after decoding process. In particular, the proposed scheme improves the coding process up to 2 times against the conventional fractal image coding approach.
A Method of Solving Data Consistency of Disk Array Cache
Authors: Wang Wei , Yin Shi Qun
Published: June 2012

In order to raise speed of reading data from disk array memory, scientific and technological personnel have introduced cache technology into disk array. Since this technique has been invented, although the efficiency of reading data have been solved, after writing operation of countless times in disk cache, data consistency problem has been prominent expression. Especially in this condition that false of electricity and machine abnormal failure, the consistency of the data is more difficult to guarantee. In this paper, we adopt Non-Volatile RAM (NVRAM) devices to realize that the data will not be lost in disk array cache after power failure. Here we design a kind of new cache organizational structure. We firstly introduce cache structure of two tables (real-time mapping table, backup mapping table) and a cache backup block. Then through these two tables, we can work to recover data through the copy between the two tables in the macroscopic, and in the microscopic through cache backup block can backup the cache data from writing failure. As power failure and system breakdown, we can ensure that data will not easily lose and the original data can recovery after system crash by this technology. Thus it ensures the consistency of the data cache.
Parallel Processing of Product Configuration for Cloud-Based Mass Customization Service Platform
Authors: Che Jun Hua , Ma Bin , Zeng Qian
Published: June 2012

The greatest feature of cloud-based mass customization service platform is massive parallel processing of information. So the good or bad of the parallel processing determines the precision and efficiency of cloud-based mass customization service platform. This paper brings up the method of parallel processing of configuration design for the cloud-based mass customization service platform. The parallel processing of product configuration is performed by ABC analysis, parallel BOM and product family. Finally this research has been applied for customization product: Gearbox, and has improved the efficiency of parallel processing for the cloud-based mass customization service platform.
Kinetics of Thermal Oxidation of TA2
Authors: Hu Jing , Fang Yuan , Wang Yan
Published: June 2012

Thermal oxidation treatment is a convenient and environmental friendly technique that can be used to harden the surface of titanium alloys, and hence improve the poor properties of the materials. The aim of the paper is to study the oxidizing kinetics of the process at different temperatures. With this purpose, pure titanium TA2 was subjected to thermal oxidation (TO) treatment in a conventional muffle furnace at 500°C~1050°C for 20mins~930mins under air atmosphere and cooled in the air. The surface morphology of the oxide layer at various temperatures was observed by scanning electron microscopy (SEM). The weight gain after oxidation treatment under different testing condition was measured and calculated. It is concluded that the oxidizing kinetics at 600°C～750°C followed parabolic law, and the parabola rate constant of Kp was investigated. The oxide layer formed at temperatures lower than 800°C is dense and protectable, while it is getting very loose at temperatures higher than 800°C.
Multiprocessor Scheduling Problem Based on Ant Colony Optimization Algorithm
Authors: Li Yan
Published: June 2012

Multiprocessor Scheduling is a problem of discrete optimization. The strong optimization capacity of Ant Colony Algorithm (ACA) on solving the discrete optimization suggests the feasibility to solve the multiprocessor scheduling problem using the ACA algorithm. Contrary to the shortcomings of traditional ant colony algorithm, this is easy to fall into the local convergence, In order to improve the calculation accuracy. combined of multiprocessor scheduling problem, propose a more efficient ant colony optimization algorithm and present a new state transition rule, at the same time use dynamically update the strategy of ant pheromones and the optimal parameter selection. it can find a better scheduling strategy in a short time, and it has excellent global optimization properties, The simulation results show that the credibility and the validity of the improved ant colony optimization algorithm for multiprocessor scheduling problem.
Realization of Text Categorization for Small-Scaled Dataset
Authors: Liu Hua
Published: June 2012

Testing of the text categorization and comparison testing is carried out based on small-scaled dataset. In case of lack of trained set, without training, the indexed text keywords are used to categorize the expert subject terms, with large categorization accuracy amounted to 0.82. In case of less trained set, after training, the characteristics vectors acquired from the training are added into experts’ subject terms and are categorized, with large accuracy amounted to 0.94, the level-3 accuracy amounted to 0.73, so the results are satisfying.
Automatic Construction of Collocation Dictionary Based on Text Mining
Authors: Zhang Hui , Wang Yong Qi
Published: June 2012

A collocation dictionary is a useful component to many natural language and spoken language processing application, such as grammar checking, text-speech conversion and machine translation. Currently the collocation dictionary is constructed by human. Firstly, it may not be updated frequently and many lexicon entries may be not available. Secondly, to construct such a dictionary may need lots of human resources. In this paper, a data-mining approach for constructing a collocation dictionary is surveyed. The main purpose is to enable cheap and quick acquisition of a collocation dictionary from a large-scale text corpus. Experimental results show the approach is effective and suitability.
Constructing a PU Text Classifier with Incremental Characteristic
Authors: Ling Shi Yong , Gong Jin Hong
Published: June 2012

Based on Focused Crawling, the paper designs and implements a PU text classification model with some incremental characteristic. For the case of negative set in the training samples which are not clear-cut, it first obtains a credible negative set by improving 1-DNF algorithm and then iterate trains the classifier, lastly obtains the final classifier for the theme of crawling text classification. The model learns some of the positive set and negative set in each training loop, then enters into the next training. It acquires a good self-adaptability, and reaches a good precision in the context of declining training samples.
Research of Query Optimization Based on Improved Quantum Particle Swarm Optimization Algorithm in Distributed Database
Authors: Liu Fu Min , Wang Jing Yong
Published: June 2012

Database query optimization is a very complicated issue, also is the key influencing factor in database systems performance. Database query operation efficiency is one of the key factors that affect system response time. Therefore, how to improve the efficiency of database query system becomes particularly important. This paper, on the basis of the advantages of Quantum particle swarm optimization algorithm, proposes distributed database query optimization methods based on Quantum particle swarm optimization algorithm, and improves algorithm. Simulation comparison experiments show that Quantum particle swarm optimization algorithm can improve the efficiency of the distributed database query, and is an effective way to solve the optimization of distributed database query.
A New Video Watermark Algorithm Based on the Property of the Video
Authors: Yang Cheng Zhong , Liao Lu Fang , Zheng Xiao Shi , Zhao Yan Ling , Liu Guang Qi
Published: June 2012

The algorithm applied to video watermark based on the property of the video is rare recently . This article brings the video property and HVS into the video watermark，gives an new algorithm， improve the capability of the watermark.
FPGA Based Implementation of Semi-Fragile Watermarking Algorithm
Authors: Liu Fang Ming , Pan Xiao Zhong
Published: June 2012

This paper presents an FPGA implementation of a semi-fragile watermarking-based algorithm for a digital camera. The architecture of digital authentication camera is discussed and a semi-fragile watermarking algorithm based the invariant property of DCT coefficients quantization is designed which can survive a certain amount of compression. The components of a digital camera and the watermarking algorithm are described in Verilog HDL and implemented on the DE2-70 board. The results shown that the hardware implementation can provide real time performance and resist off-line attacks compare with the software-assisted solution.
Study on Light Porous Unsintered Building Material
Authors: Jiang Cong Cong , Li Gou Zhong , Li Qi Jin
Published: June 2012

A light porous unsintered building material was prepared with red mud, fly ash, silica fume as the main raw materials, mixed with a certain amount of foam and curing agent, by the technology of casting and curing at ambient conditions. The influence of different ratio of red mud to fly ash on compressive strength was studied. The microstructure properties of light porous unsintered building material were characterized by scanning electron microscopy (SEM) and then the strength mechanism was studied. The results showed that the optimum ratio of red mud to fly ash was 2:1, and for the best sample, its bulk density was 891kg•m-3, 7d and 28d compressive strength were 8.4MPa and 14.7MPa, thermal conductivity coefficient was 0.235W•(m•K)-1, which may have a broad application prospect in the building materials field.
Shape Modification of NURBS Curves Using Genetic Algorithm
Authors: Li Yan Hong , Mu Guo Wang , Guo Zeng
Published: June 2012

In this paper, we propose a new method for shape modification of NURBS curves. For a given NURBS curve, we modify its one or more weights so that the curve passes through the point specified in advance. We convert this into an optimization problem and solve it by genetic algorithm. The experimental results show the feasibility and validity of our method.
Based on Ant Colony Algorithm Finite Element Analysis of the Alloy
Authors: Zhang Shu , Meng Lei
Published: June 2012

we have used the metaphor of ant colonies to define "the Ant system", a class of distributed algorithms for combinatorial optimization. In this paper we analyze some properties of Ant-cycle, the up to now best performing of the ant algorithms we have tested. We report many results regarding its performance when varying the values of control parameters and we compare it with some FEM algorithms. And in accordance with treatment principles, the microstructure of the alloy is simulated.
An Extended Rough Set Model for Generalized Incomplete Information Systems Based on α-Limited Dominance Relation
Authors: Mo Jing Lan , Lv Yue Jin , Wu Yan
Published: June 2012

In this paper, α - limited dominance relation is defined for the classification of universe in the generalized incomplete information systems in which lost and “do not care” unknown attribute values coexist. Based on the α - limited dominance relation, an extended rough set model is formulated. Moreover, concepts of lower and upper approximations are studied as well as their properties. Finally, an example of evaluation of teaching quality is used to demonstrate that the proposed extended rough set model is feasible and effective in dealing with imprecise and uncertain knowledge.
The Unscented Kalman Filter Estimators for High Dynamic Doppler Shift Environments
Authors: Zhao Kun , Pan Ke Gang , Liu Ai Jun , Guo Dao Xing
Published: June 2012

The Extend Kalman Filter (EKF) is widely used in the tracking of high dynamic Doppler shift trajectories, but it has some flows when it is used to estimate the state of nonlinear systems. In this paper, we apply the Unscented Transformation (UT) based Unscented Kalman Filter (UKF) to the state estimation in the high dynamic Doppler environments. Two versions of the UKF estimators, augmented UKF estimator and nonaugemented UKF estimator are designed. To compare the performance of them, they are applied to tracking a common high dynamic trajectory, and simulation results declare that given different conditions, the performance of the estimators will be different.
Research on the Application of Co-Evolutionary Algorithms in Automated Negotiation
Authors: Xu Qiang , Yuan Yong , Zhang Feng
Published: June 2012

Automated negotiation based on co-evolutionary algorithms is an emerging research field in recent years. This paper introduced the basic ideas of evolutionary and co-evolutionary algorithms, and discussed the main theories and approaches in the research of automated negotiation based on co-evolutionary algorithms. The five key elements in simulation of negotiation experiments are also presented in detail. Finally, the future work and research directions are pointed out.
Application of Least Square Algorithm for Ellipses Detection
Authors: Yuan Can , Wang Chen , Liu Gang
Published: June 2012

It is a significant process to automatically extract ellipses or elliptic image features in highly precise vision detection, especially to achieve rapid as well as accurate detection in complex environment. Fortunately, this paper provides an approach to solve the problem. We firstly detect the edge of images by using sub-pixel edge detection algorithm, and then determine the elliptical shapes, and eliminate the non-ellipses. For the complicated context and taking into account the occlusion of ellipses, we integrate the robust Hough transforms and slip window into randomized algorithm based on least square approach with the purpose of having got the veracious ellipse parameters, which proves that the approach is available for images in stability and accuracy.
Photocatalytic Properties of Ag Surface Doped Nanocrystalline TiO2-SiO2 Composite Films
Authors: Guan Ling Xiao , Zhao Nan , Yao Ming Ming
Published: June 2012

Ag surface doped TiO2-SiO2 composite films had been synthesized by the sol-gel method and doping processes, in which tetrabutyl titanate (Ti(OC4H9)4) and tetraethylorthosilicate (TEOS) were chosen as the precursors and silver nitrate (AgNO3) was chosen as silver source. The experimental results revealed that the Ag surface doped TiO2-SiO2 composite film was composed of uniform round-like nano-particles or aggregates with the size range of 4–10 nm. Compared with pure TiO2 film, Ag surface doped TiO2-SiO2 composite film exhibited excellent photocatalytic activity. It is believed that the microstructure of the composite film is responsible for improving the photocatalytic activity.
A Heuristic Algorithm for Decision Table Reduction
Authors: Su Na , Liao Feng Feng , Wu Zhe Hui
Published: June 2012

The independency between two attribute subsets can be verified based on Chi square statistic to reduce candidate sets. Based on this measure, heuristic algorithm employing information entropy for reduction of decision systems is presented by combining rough sets and statistics. And the validity of this algorithm is analyzed.
A Nighttime Vehicle License Character Segmentation Algorithm
Authors: Gao Shang Bing , Jin Dong
Published: June 2012

Chan-Vese model often leads to poor segmentation results for images with intensity inhomogeneity. Aiming at the gray uneven distribution in the night vehicle images, a new local Chan–Vese (LCV) model is proposed for image segmentation. The energy functional for the proposed model consists of three terms, i.e., global term, local term and regularization term. By incorporating the local image information into the proposed model, the images with intensity inhomogeneity can be efficiently segmented. Finally, experiments on nighttime plate images have demonstrated that our model can segment the nighttime plate images efficently. Moreover, comparisons with recent popular local binary fitting (LBF) model also show that our LCV model can segment images with few iteration times.
An Efficient Algorithm for Improved Shape Context Feature's Cost Matrix Computation
Authors: Li Shan Shan , Zhao Ying Hai , Wang Jiang An
Published: June 2012

Shape context is not rotation invariant as a local visual feature. To solve this problem, 2-D and 1-D Fourier Transformation has been performed on the feature. Based on the property of Fourier Transformation, a fast and efficient method is presented in the cost matrix computation of these improved shape context feature. The analysis shows the time complexity is much lower and the experiments show effective and efficiency of this new algorithm.
The Design and Optimization of Micro-Displacement Worktable
Authors: Guo Dong Ni , Zhao Xue Zeng
Published: June 2012

The micro-displacement worktable is the main part of precise mechanical scanning systems. In the study the worktable is used for single-axis precise positioning and combines a piezoelectric driving element and monolithic flexure hinge mechanism to achieve a compact, vacuum compatible device with the resolution of 0.1nm over the range of 10um.The worktable is designed and optimized on the basis of comparing two types of parallel four-bar flexure hinge mechanism. Additionally, stiffness radio is defined for evaluating the guide performance, and good optimization result is achieved through simulation.
An Improved SPRINT Algorithm
Authors: Luo Zhi Kang , Sun Huai Ying , Wang De
Published: June 2012

This paper presents an improved SPRINT algorithm. The original SPRINT algorithm is a scalable and parallelizable decision tree algorithm, which is a popular algorithm in data mining and machine learning communities. To improve the algorithm's efficiency, we propose an improved algorithm. Firstly, we select the splitting attributes and obtain the best splitting attribute from them by computing the information gain ratio of each attribute. After that, we calculate the best splitting point of the best splitting attribute. Since it avoids a lot of calculations of other attributes, the improved algorithm can effectively reduce the computation.
Study on Moving Object Detection Algorithm in Outdoor Video Surveillance System
Authors: Xiong Xiao Yun , Wang Bing , Wang De Xing
Published: June 2012

Moving object detection and feature extraction algorithm in video sequences are discussed in this paper. There are several problems in moving object detection and extraction from outdoor video surveillance, that is, moving object detection algorithm is easily interfered by background of video monitor, the feature of moving object is difficult to extract from video source, and the vibration of picture frame in outdoor video surveillance causing by wind factors effects the incorrect extraction of the moving object. The vibration causing by wind factors was corrected and an enhancement inter-frame difference algorithm based on difference histogram threshold selection is presented in this paper. The experiment results prove that this method can detect and extract the moving object accurately and efficiently, and it can meet the needs of real-time detection.
Selection of Bar Code in Timber Circulation
Authors: Xu Heng Qin , An Li Hua
Published: June 2012

The research described the status of bar code in the timber production and circulation in timber yards of forestry zone, main characteristics and some existing problems, and then proposed some technologies required by using bar code and problems that must be considered when choosing the bar code. The result in this paper laid the foundation for the application, identification and management of bar code in timber circulation.
An Interactive Video Foreground Segmentation System Based on Modeling and Dynamic Graph Cut Algorithm
Authors: Wu Xiao Yu , Yang Lei , Li Shao Bin , Xu Pin
Published: June 2012

This paper proposes an interactive video foreground segmentation method based on modeling and graph cut algorithm. User interactions are required at initial frame or key frame of video sequence at first. Secondly we make use of user interactions information to develop background/foreground model and get foreground segmentation result of the current frame in term of graph cut algorithm. And automatic updated methods are proposed to obtain foreground segmentation results automatically on the later sequence of video without user interaction. The developed system of interactive video foreground segmentation has performances with extracting object and editing segmentation results. Experimental results on kinds of video demonstrated that our interactive segmentation system is efficient.
Process Evaluation of Key Parameters during Plant-Field Composting Using Genetic Algorithms and Near-Infrared Spectroscopy
Authors: Huang Guang Qun , Han Lu Jia , Wang Xiao Yan
Published: June 2012

The nondestructive estimation of key parameters during plant-field chicken manure composting is of great importance for quality evaluation. In the process of developing regression models using near-infrared spectroscopy (NIRS), methods used for wavelength selection significantly influence on the efficiency of the calibration. This study explored the method of genetic algorithms (GAs) for selecting highly related wavelengths to improve NIRS models for moisture (Miost), pH and electronic conductivity (EC), total carbon (TC), total nitrogen (TN) and C/N ratio determination in chicken manure during composting. Based on the values of coefficient of determination in the validation set (R2) and root mean square error of prediction (RMSEP), the prediction results were evaluated as excellent for Miost, TC and TN, good for pH and EC, and approximate for C/N ratio. But GAs had better performance than using full spectrum for near-infrared spectroscopy model construction in the process of evaluating key parameters during plant-field chicken manure composting.
Vibration Reduction of Water Source Heat Pump Units Based on Particle Damping Materials
Authors: Sun Zi Qiang , Chen Chang Zheng , Liu Huang
Published: June 2012

Spring vibration isolators and rubber damping vibration isolators are often used in active isolation engineering of water source heat pump units. The method is inefficient in shock and low frequency vibration isolation. Because the stiffness of equipments reduces with the isolation system the vibration severity itself becomes too big for working safely. Particle damping materials can absorb vibration energy to reduce vibration. The paper testifies that successful application of particle damping materials in vibration reduction of water source heat pump units is a practical simple way with low cost.
Characterization and Analysis on the Thermal Transformation of Boehmite Synthesized by Yoldas Method
Authors: Su Qiu Cheng , Zhang Shao Hong , Chen Pei Li , Li Xin Jun , Fu Juan , Ma Long Long
Published: June 2012

The boehmite (AlOOH) sol derived from aluminium isopropoxide was synthesized by Yoldas method. The physicochemical process and phase transition of AlOOH were investigated by TG-DSC, N2 adsorption-desorption, XRD and TEM. The results showed that upon heating, AlOOH lost the physicsorbed water first, and then lost the chemisorbed water at 242 °C, and the dehydroxylation occurred at 361 °C. The BET surface area, total pore volume and pore diameter increased, since the waters were lost. The orthorhombic AlOOH transformed to the cubic γ-Al2O3 at 361 °C, the cubic η-Al2O3 appeared after 484 °C, the monoclinic θ-Al2O3 and rhombohedral α-Al2O3 appeared after 1026 °C, and it totally turned into α-Al2O3 at 1237 °C.
Dynamic Characteristics of Bridge under Moving Constant Load
Authors: Song Chang Li , Ji Jing
Published: June 2012

It is very important to carry out research of dynamic performance and acquire data of bridge. it can provide reference for design of bridge. Combined with a bridge in actual engineering, this paper analyzes the deformation of bridge subjected to vehicles with different velocities. Based on typical theory on vibration analysis between bridge and vehicles and simplified model, finite element model of simple-supported bridge is established by ANSYS software, and concrete process of modeling, solving, analyzing and dealing is introduced. Through the numerical simulation analysis dynamic response characteristics of the bridge body are acquired when the vehicle passes through the bridge at different speeds, variable regularity is given for dynamic response and these can provide good reference for controlling the vibration measures of bridge under moving loads.
The Analysis of Composite Yarn Fabric Mechanical Properties by KES System
Authors: Shi Jing Jing , Hu Bin , Xue Yuan
Published: June 2012

This paper studied the mechanical behavior of composite yarn fabrics and pure cotton yarn fabrics with the conditions of small deformation, then making some comparison. KES-F (Kawabata Evaluation System for Fabric) system was used in the research process. The study shows that the fabric samples made of composite yarn exhibit noticeable improvement on mechanical property after using composite yarn. The results lay a solid foundation for the application and extension of composite yarn fabrics.
Parameter Optimization of Passive Dynamic Walking Biped with Knees
Authors: Zhang Pei Jie , Song Ke Fei
Published: June 2012

A method to find the optimized parameter values of passive dynamic walking biped is presented. The effects of biped physical parameters on the stability property of passive gaits are studied by simulation experiments. The chosen parameters include the mass distribution, length of leg and slope angle. The stability property of passive walking limit cycles is used as criterion of optimization calculation, including the orbital stability described by eigen-values of linearized Poincaré map and the global property described by size of attraction region. The simulation results show how the stability of limit cycle varies when physical parameters of the passive biped change. The work is useful to explore the inherent property of passive dynamic walking and can be used as an important instruction in the mechanical design of biped robots based on principle of passive dynamic walking.
Contact Characteristics Analysis of Water-Lubricated Thrust Bearing under Low-Speed and Heavy-Load Situation
Authors: Zhang Xiao Yang , Wu Wei , Zhou Jian Hui , Wu Qi Jun
Published: June 2012

The contact state of water-lubricated thrust bearing has been researched using FEM (Finite Element Method), the changes of contact pressure, deformation, temperature and etc have been analyzed and the bearing’s tribological properties under low-speed and heavy-load situation has been revealed, which are benefit in improving the bearing design, increasing the bearing’s durability and safety reliability. The results show that the max comprehensive stress, the max contact pressure and the max vertical displacement appear on the platform of the thrust pad; the temperature of one increases along with the speed and axial load increasing, and the highest temperature appears on the platform of the thrust pad.
An Efficient Response Surface Method Using Givens Transformation for Structural Reliability Analysis
Authors: Zhao Wei Tao , Yang Yi , Yu Tian Jun
Published: June 2012

The response surface method was proposed as a collection of statistical and mathematical techniques that are useful for modeling and analyzing a system which is influenced by several input variables. This method gives an explicit approximation of the implicit limit state function of the structure through a number of deterministic structural analyses. However, the position of the experimental points is very important to improve the accuracy of the evaluation of failure probability. In the paper, the experimental points are obtained by using Givens transformation in such way these experimental points nearly close to limit state function. A Numerical example is presented to demonstrate the improved accuracy and computational efficiency of the proposed method compared to the classical response surface method. As seen from the result of the example, the proposed method leads to a better approximation of the limit state function over a large region of the design space, and the number of experimental points using the proposed method is less than that of classical response surface method.
Numerical Simulation on Heat Dissipating Performance of New Pipe with Grid Plate
Authors: Song Chang Li , Ji Jing
Published: June 2012

In order to improve the pipe dissipating area, a kind of new pipe with grid plate is proposed in this paper. Based on the basic principle of heat transfer and energy conservation law, by finite element software ANSYS the simulation analysis of the steady-state heat transfer of the new pipeline is carried out, process of ANSYS modeling, loading and solving is introduced in detail, the distribution of temperature and stress for pipe with a grid plate is given, these can provide the foundation for the selection of the optimal diameter of the grid plate and transient heat transfer analysis of pipe.
A Discussion about Finite Element Analysis of Aircraft Wing Structure
Authors: Zhao Wei Tao , Yu Tian Jun , Yang Yi
Published: June 2012

One of the most significant components of aircraft design is the wing, the wings are the main lifting surfaces that support the airplane in flight. The structures of wings must have enough strength and rigidity to ensure the safe of the aircraft. Usually, the displacements of the structures are calculated by using finite element method. But it is very difficult to select a reasonable finite element model to approximate the actual structure. In this study, two models are adopted to calculate the displacements of the wing structure. The first is a model of rod and shear plate, the second is a model of beam and shell. The disadvantages and advantages of two models are discussed. As seen from the comparison with the test date, two models proposed are both feasible to analyze the wing structure.
Numerical Model of the Start-Up Process of a Honeycomb Regenerator
Authors: Mao Chong Zhi , Guo Qian Jian , He Lei
Published: June 2012

Ceramic honeycomb is a key component of high temperature air combustion (HiTAC) system and the three-dimensional numerical model is established which is for investing unsteady thermal process in honeycomb regenerator. The start-up period of honeycomb was simulated by means of computational fluid dynamics (CFD) software; the outlet temperature were obtained. The work in this paper provides a theory basis and guide to the exploitation and appliance of HTAC system and the results of the numerical calculation can be used as the foundation of engineering design.
Fractal Characteristic and Impact Strength of PLA-Based Wood Plastic Composites
Authors: Qiang Tao , Yu De Mei , Gao Hong Hong
Published: June 2012

Polylactide(PLA)-based wood plastic composites(WPCs) modified with SBS were manufactured by extrusion blending followed by injection molding. The fracture surfaces created from the impact test were recorded with SEM. Fractal analysis has been used to calculate the fractal dimension of the fracture surfaces with four different techniques. Then, the relationship between the fractal dimension of the fracture surfaces and its impact strength of the PLA-based WPCs was investigated with the linear regression nethod. The results showed that there is a positive correlation between the impact strength and the fractal dimension for each calculation method.
Design and Implementation of Intelligent Parking Management Based on the SNMP Protocol
Authors: Yang Qing Na , Li You Mou
Published: June 2012

Traditional parking management uses human staff and has high costs, low efficiency and low safety. We analyzed the deficiency of existing smart parking systems and proposed a management system for parking management with comprehensive application of RFID, video monitoring technology, sensing technology, image recognition technology and embedded technology. We propose to build a distributed, multilevel management architecture which is based on the SNMP protocol. This approach facilitates the automation of parking management.
Design of Neutral Network–Sliding Model Based Large Envelope Flight Control Law
Authors: Xin Gong Cai , Chen Wei Lun , Tao Jin Niu
Published: June 2012

Applying neutral network-sliding model control design methods to large envelope flight control law of aircraft whose model parameter varies greatly with flight condition was studied in this paper. Neural network theory is used to approximately linearize the nonlinear system and cancel the errors brought with approximate inversion, and the residual error is solved by sliding model control. So it can approximate the nonlinear model accurately, and improve robustness and anti-jamming capability of the flight control system. Simulation results show the design neural network – sliding model large envelope flight controller has excellent control performance.
Robust Fault-Tolerant Control for a Class of Uncertain Discrete Time-Delay Systems
Authors: Zhao De Gong , Ma Yue Chao
Published: June 2012

The problem of robust fault-tolerant control for the uncertain time-delay system with state and control delays is studied.The considered system has sensor or actuator failures.Based on Lyapunov stability theory and linear matrix inequality(LMI),a method of robust fault-tolerant against sensor or actuator failures for uncertain system was proposed via memoryless feedback control law.The sufficient for the closed-loop system possessing integrity against sensor or actuator failures are given.At the same time,the controller design method is the linear matrix inequality(LMI).Finally,the numerical example and simulations demonstrate the validity of the proposed method.
Multi-Vehicle Tracking Based Traffic Illegal Parking Detection
Authors: Wang Jian , Chen Feng
Published: June 2012

Vehicle detection and tracking are the foundations of traffic violation punishment. The current methods have more parameters to be adjusted and can not adapt to the complex traffic scenes. For the purpose of practice application, we propose an illegal parking detection algorithm based on vehicle tracking theory. In order to filter the dynamic interferences such as vehicles parking for a long time, moving vehicles overlapping, and the vehicle losing momentarily from the video, a Gaussian mixture model is combined with the correlations among adjacent pixels to update background and eliminate noises. In allusion to complex traffic scenes, a fast multi-object tracking algorithm is presented to track occluded vehicles effectively. This method predicts vehicle trajectory by Kalman filter and achieves real-time object tracking state judgment by using the feature matching matrix. The experimental results show that this method can track multiple moving vehicles effectively and has high detection precision for illegal parking incidents.
Study on the Key Distribution Mechanism of Feeder Automation System
Authors: Song Jia , Wu Lin Li
Published: June 2012

Along with the development of information technology, the information security of power industry is becoming an important problem in the stability of power systems. In order to solve the key distribution problems of feeder automation system, a key agreement and mutual authentication scheme based on elliptic curve cryptograph techniques is proposed. The mutual authentication and agreement on a secure session key is realized, between feeder terminal unit (FTU) and regional substation. By using the ECC techniques, greater security with fewer bits is provided. As the result, the requirement of bandwidth is decreased, furthermore, computational burden and storage requirement is also lowered on the FTU.