bluuebunny/crossref_metadata_2025 huggingface dataset:
Frequency Response Analysis for Dynamic Model Identification and Control of a Ducted Fan Aerial Vehicle in Hover
Authors: Effati Meysam , Banazadeh Afshin
Published: July 2013

System Identification is a key technology for the development and integration of modern engineering systems including unconventional flying vehicles. These systems are highly parametric with complex dynamics and nonlinearities. Ducted fans are special class of these vehicles that can take off vertically, hover and cruise at very low speed. In this paper, an exact equivalent linear system is found from the non-linear dynamic model of a ducted fan by use of frequency response identification. Here, power spectral density analysis is performed, using CIFER software, to evaluate the input-output responses in hover and to derive the transfer functions based on the coherence criterion. Then, PID controllers are designed by utilizing the identified transfer functions and the performance characteristics of the controllers are evaluated in fully non-linear simulation of the system.
On a New Model Reduction Method for CFD Systems Used for Flow Control Design
Authors: Stoica Adrian Mihail , Stoia-Djeska Marius
Published: July 2013

The use of active control to get better characteristics of unsteady internal and external flows is the ultimate goal of the research presented in this paper. Usually, unsteady flows are calculated using Euler and/or Navier-Stokes solvers. The efficiency of numerical simulation of an unsteady flow dramatically increases if the unsteady solution is a small perturbation about a steady-state flow, due to disturbances occurring at the boundaries of the flow domain. The main difficulty related to the flow simulation is that any CFD (Computational Fluid Dynamics) technique generates discrete systems with a very large number of states. In order to design an efficient control, the flow solver must be not only accurate and numerically effective, but also it must have a low number of states. The aim of this paper is to present a new method for model reduction of CFD systems using representative governing equations. The focus is on descriptor type systems resulting from the spatial discretization of the CFD governing equations.
Digital Image Processing and Coordinate Transformation for Vic-3D System
Authors: Song Sha Jia , He Neng
Published: July 2013

This paper discusses the problem about the processing of the images collected by Vic-3D measurement system and the coordinate transformation between the pixel coordinate and plane coordinate. Correlation analysis on image information is carried out by using Matlab. Template matching method is used to get the pixel coordinates of the marked part on the images. Based on affine transformation and least square method, I transform the pixel coordinates of the marked part on the images into the plane coordinates.
Photographic Volume Visualization with LH Histogram and Color Distance Gradient
Authors: Xia Yong , Zeng Li Bing , Wang Kuan Quan
Published: July 2013

Volume rendering is an important issue in the field of images visualization, which can display the details of the volume data intuitively. In this paper, we provide an new transfer function for volume visualization of photographic data set. LH histogram and color gradient are used for opacity design. And special organ can be enhanced in 3D view for special mission. We use GLSL (OpenGL Shading Language) for the GPUs accelerate. VHP data set is used for test and the result confirms that our method is effective.
Wafer Image Registration Based on Hough Transform
Authors: Tao Fei , Mu Ping An , Dai Shu Guang
Published: July 2013

For wafer defects detection system in a certain resolution, CCD camera cannot get the whole wafer image at one-time, which has an influence on the subsequent defect feature extraction. This paper puts forward an image registration method based on geometry features. Firstly, the information of the image edge can be extracted by using an improved edge detection operator, then using Hough transform to extract the horizontal and vertical lines of the information of the image edge. Secondly, using the correlation of linear characteristic to define the registration standards of the image. A new method, simplex-simulated annealing algorithm, is presented to optimize the registration coefficient of the image. Finally the method is tested and evaluated by the matching effect, the results show that it can effectively achieve the automatic wafer image registration and has a good stability.
Classification of High Resolution Sar Imagery Using Local Indicators of Spatial Association
Authors: Fei Zhang , Xi Ye
Published: July 2013

In this paper, we will propose a novel classification method of high-resolution SAR using local autocorrelation and Support Vector Machines (SVM) classifier. The commonly applied spatial autocorrelation indexes, called Moran's Index; Geary's Index, Getis's Index, will be used to depict the feature of the land-cover. Then, the SVM based on these indexes will be applied as the high-resolution SAR classifier. A Cosmo-SkyMed scene in ChengDu city, China is used for our experiment. It is shown that the method proposed can lead to good classification accuracy.
An Instrument of Palm Vein Pattern Recognition
Authors: Wu Wei , Yuan Wei Qi , Lin Sen
Published: July 2013

Palm vein pattern recognition is one of the newest biometric techniques researched today. This paper presents a palm vein recognition instrument that uses blood vessel patterns as a personal identifying factor. The instrument uses the recognition algorithm of two dimensional Fisher linear discriminant for classification. The experiment has been done in a self-build palm vein database. Experimental results show that the designed instrument achieves an acceptable level of performance.
3D-Modeling Depth Optimization Using a Neural Network and Image Segments
Authors: Liu Fan Jun , Cao Bin Gang
Published: July 2013

We present a 3D(three-dimensional)-modeling disparity-map optimization algorithm using a neural network and image segments for stereo navigation. We decompose the optimization algorithm problem into two sub-problems: initial stereo matching and depth optimization. A two-step procedure is proposed to solve the sub-problems sequentially. The first step is a region based NCC(normalized cross-correlation) matching process. But we use fast Fourier transformation and inverse fast Fourier transformation to eliminate redundant calculations in NCC, and we create a high-confidence disparity map by cross checking. In the second step, the reference image (the left image of the inputted stereo pair) is segmented into regions according to homogeneous color. A neural network is then built to model the three dimensional surface and applied to refine disparities in each image segment. The experimental results obtained for Middlebury test datasets and real stereo road images indicate that our method is competitive with the best stereo matching algorithms currently available. In particular, the approach has significantly improved performance for road images used in navigation and the disparity maps recovered by our algorithm are similar to ground truth data.
Application Research on Precision Detection of Small Gear with Composite Edge Detection Method
Authors: Luo Xin , Wu Li Ming , Zeng De Zhi
Published: July 2013

Vision-based measurement method can be widely used for a variety of real-time and online precision measurements, and particularly well suited for dynamic real-time precision measurement of geometry parameters of the part, which has advantages of non-contact, high-speed, big dynamic range, rich amount of information, and relatively low cost. After the study of vision-based online detection system of small gear, we propose a composite subpixel edge detection method, which combines the four-way weighted differential algorithm based on the classic Sobel operator and OFMM (Orthogonal Fourier-Mellin Moment), aiming at achieving the precision location of the subpixel edge firstly. And then detect tooth profile defects rapidly through scanning circularly the edge image, according to the structural characteristics of gears. The theoretical analysis and experimental results show that the detection method has so high accuracy and speed that it can meet the industrial online tests requirements.
Improvement and Application of the Maximum Bubble Pressure Tensiometer
Authors: Deng Peng , Huang Rong Hua , Ma Yin Jie
Published: July 2013

In order to measure the equilibrium surface tension of blended fuels, a tensiometer based on maximum bubble pressure method was built. Microscope was used to measure the capillary internal diameter precisely. And the operation guidelines of the tensiometer were calibrated by purified water to improve its accuracy. Then, the equilibrium surface tensions of bio-ethanol diesel fuels were investigated at a wide range of temperature and mass fractions. Results show that surface tension of blend fuels decrease linearly as temperature increases and decrease monotonically while ethanol mass fraction increases.
The Image Processing Technology of Monocular Vision Aided Target Measurement
Authors: Liu Li Li , Li Hang , Ma Xiang Nan , Liu Zhi Wei
Published: July 2013

The process and practical results of the image processing technology of monocular vision aided target measurement are given. Firstly, the image was enhanced by mathematical morphology and segmented wih geometry-based feature extraction; Then according to least square ellipse fitting algorithm,the center coordinates of mark point was accurately striked; Finally, improved algorithm based on the elliptical error evaluation was presented, which had high accuracy and good stability. The experiments show that the shape error is about one pixel, and it is reduced significantly after the algorithm improvement.This method can be widely used in monocular vision measurement.
Study on Multiple-Input Multiple-Output Synthetic Aperture Sonar Composite Acoustic Imaging Technique
Authors: Teng Ting Ting , Sun Da Jun , Zhang Yu , Huang Cong
Published: July 2013

The azimuth resolution of imaging sonar lies on the aperture of the sensor array. In the paper, the Multiple-input Multiple-output Synthetic Aperture Sonar (MIMO-SAS) composite acoustic imaging technique was applied to imaging sonar equipped on the movable platform. The azimuth resolutions of both cross-track direction and along-track direction were obtained. The simulation results demonstrate that comparing with the conventional imaging technique Single-Input Multiple-output (SIMO), the azimuth resolution of cross-track direction is improved since the virtual array aperture of MIMO technique, and the azimuth resolution of along-track direction is obtained since the synthetic aperture of SAS technique. The simulation results are consistent with the theoretic value of the azimuth resolution.
Blind Watermarking Algorithm for Color Images Based on Nearest Neighbor Interpolation
Authors: Zou Xin Guo
Published: July 2013

In this paper, we present a blind digital watermarking method for color image based on nearest neighbor interpolation. The algorithm has the following characteristics: (1) it generate adaptive watermark based on the size of carrier image,so as to improve the robustness of binary watermark; (2) the watermark is embedded in the DCT coefficient of intermediate frequency, which can effectively resist common attacks, such as Gaussian noise-adding, salt and pepper noise-adding, cropping, Wiener filtering, JPEG compression;(3) the watermarking detection is simple and fast, and does not require carrier image. The experiments show that the algorithm has good invisibility and strong robustness.
The Study and Application of PI Algorithm
Authors: Jia Shu Hong , Zhang Chun Hua , Wang Ming Ming , Li Dong Xu
Published: July 2013

This paper proposes the PI Algorithm and also presents its principle and application. Compared with ordinary algorithms, it could compute multi-byte data more effectively. Experiments demonstrate that this algorithm is feasible and accurate.
Terminal Airspace Sector Optimum Partition Based on Particle Swarm Optimization
Authors: Luo Jun , Dong Zhi Qiang , Lv Huan Liang
Published: July 2013

With the rapid development of air transportation industry, many air traffic controllers are facing overload, which brings potential danger to the flight safety. In order to reduce the workload of air traffic controllers, this paper studies sector optimum partition of terminal airspace. Firstly, airspace topology structure is built to describe the relation of key way points, legs and air routes. Power polygon divides the terminal airspace into several units, the workload of each way point can be calculated. Then the sector optimum partition mathematical model is built. A kind of permutation and combination algorithm is used to recombine the units, the objective function value of each unit is regarded as optimization function, and the optimal solution can be worked out in combination with the Particle Swarm Optimization. At last, an example of Beijing Terminal Airspace sector optimum is given, which shows Particle Swarm Optimization is an effective method to be applied into sector optimum partition based on way points workload.
Application Research on Campus Fire Prediction Using Generalized RBF Network
Authors: Zhu Su Bin , Zhu Hai Yan
Published: July 2013

Aiming at the complexity of campus fire, the factors in connection with fire is classified as static and dynamic factors. Firstly, points out that the dynamic factors play an important role in the fire. Then, taking the student dormitory area as the research object, and considering the factors of fire comprehensively, a fire prediction method is proposed based on generalized RBF neural network, Finally, by the simulation, the results are shown the proposed method is effective
Classification Algorithm Based on Categorical Data Analysis
Authors: Cheng Yu Sheng , Li Xiang , Ding Mei Wen
Published: July 2013

Through compares three methods of Standard Deviation mathematical expectation and variance, a classification algorithm based on the Standard Deviation which in the training set is proposed in this paper. The algorithm first mapped the discrete attribute values to the corresponding values, and calculates Standard Deviation, mathematical expectation and Variance of each attribute in each category. The Standard Deviation, mathematical expectation and Variance of each attribute in each category used as coordinates. When there are new datas need to determine the category, we just need to use the attributes of the new data as coordinates, and calculate its distance to each category, and then the data type is the shortest distance category. Comparison of three methods, the Standard Deviation is the most stable and most accurate. This algorithm has advantages in dealing with the noisy date.
Knowledge Sharing Partner Selection of Cluster Enterprise Based on BP Neural Network
Authors: Liu Yu , Wang Nan , Feng Fei , Gan Lu
Published: July 2013

In the era of knowledge economy, knowledge has become the most critical enterprise resources; however, because of the accelerating speed of knowledge innovation, knowledge sharing between organizations becomes the inevitable choice for enterprises. Moreover, selection of the appropriate sharing partners has an important impact on the efficiency of knowledge sharing. In this paper, the authors analyze the factors of knowledge sharing among the cluster enterprises, build a cluster enterprise knowledge-sharing partner selection index system, and use the BP neural network model to select suitable enterprise knowledge sharing partners. Finally, the authors demonstrate the feasibility of the method with an example.
A Clustering Algorithm Based on Variance-Similarity
Authors: Li Zhen Dong , Li Fei
Published: July 2013

Clustering algorithms, like K-means Algorithm, use distances in attribute space to cluster data. However the computation of distances in attribute space influences the accuracy. So innovatively, Variance-Similarity clustering algorithm defines similarity as a function of the attribute variance, and clusters data by the comparison of similarities. In computer simulation, the comparison of Variance-Similarity Algorithm and K-means Algorithm on UCI data sets presents that Variance-Similarity Algorithm has a better clustering accuracy than K-means Algorithm.
Resource Scheduling Based on Ant Colony Algorithm in the Organizational Design
Authors: Li Yu , Miao Zhuang , Bei Yan
Published: July 2013

Resource scheduling is still a challenge in organizational design. In order to overcome it, organizational design flow is analyzed in detail. A model is presented in the paper according to the three stages organizational design flow. In order to optimize resource scheduling, a kind of ant colony algorithm is proposed, which has laid a solid foundation for optimization of organizational design.
Incremental Rules Mining Algorithm Based on Incomplete Decision Table
Authors: Wang De Xing , Lu Hong Yan , Yuan Hong Chun
Published: July 2013

The traditional approach to deal with incomplete information system is to make it completed, when a new object added only need a static attribute reduction algorithm to obtain the rules, wastes a lot of resources. The goal of incremental rules mining is to maintain the consistency of the rules in incomplete decision table. When a new object is added, establish discernibility matrix of the original decision table, get distribution reduction set, then generate conjunctive items export rules set. It introduces incremental learning concept, avoids tedious counting process. It can be effective for large-scale incomplete ocean data reduction and it also provides a strong basis for decision making for the marine environment processing and follow-up processing.
Recognition of Different Modes of Human Thinking during Processing Visual Images of Histograms and Scenes
Authors: Li Mi , Lu Sheng Fu , Tan Xue , Zhou Yu , Zhong Ning
Published: July 2013

To investigate the different modes of human thinking, we designed an eye tracking experiment during people recognized two category images of histograms and scenes, and used the support vector machine (SVM) classification algorithm to classify these eye movement data. The results of statistical analysis showed that there were significant differences in saccade distance and pupil diameter between these two category images. By the feature selection, normalization of data preprocessing, and SVM classification, the results of classification analysis showed that there was a better performance on the classification of the histograms and scenes. These results suggest we can identify the modes of human thinking through the SVM classification methods based on the eye movement data.
An Effective K-Means Clustering Based SVM Algorithm
Authors: Yao Yu Kai , Liu Yang , Li Zhao , Chen Xiao Yun
Published: July 2013

Support Vector Machine (SVM) is one of the most popular and effective data mining algorithms which can be used to resolve classification or regression problems, and has attracted much attention these years. SVM could find the optimal separating hyperplane between classes, which afford outstanding generalization ability with it. Usually all the labeled records are used as training set. However, the optimal separating hyperplane only depends on a few crucial samples (Support Vectors, SVs), we neednt train SVM model on the whole training set. In this paper a novel SVM model based on K-means clustering is presented, in which only a small subset of the original training set is selected to constitute the final training set, and the SVM classifier is built through training on these selected samples. This greatly decrease the scale of the training set, and effectively saves the training and predicting cost of SVM, meanwhile guarantees its generalization performance.
Research on Measurement System of Biological Tissue Parameters Based on Optical Coherence Tomography
Authors: Ye Hai , Gao Ying Jun
Published: July 2013

In order to measure the optical parameters of biological tissue accurately and non-invasive, the measurement system based on optical coherence tomography was analyzed and designed from two aspects of hardware and software. The refractive index was calibrated by standard refractive index solutions, experiments were preformed to obtain refractive index of tissue samples and scattering coefficient of IntralipidTMsolution with different concentrations. Results show that the experimental values of refractive index agree with the standard values roughly and scattering coefficient linear relate with concentration in IntralipidTMsolution. The measurement system designed in our experiment is accurate and reliable, simple and feasible.
Similarity Knowledge Mass and Multiple Multidimensional Approximate Reasoning
Authors: Zheng Ya Lin
Published: July 2013

Designing the approximate reasoning matching schemes and the corresponding algorithms with similarity relation Q instead of equivalence relation R can reflect the nature of approximate reasoning and meet more application expectations. In this paper, we introduce the type V matching scheme and the corresponding type V Q-algorithm of multiple multidimensional approximate reasoning with given multidimensional input and multidimensional knowledge bases on strong Q-logic CQ.
Study on Tank Capacity Table Measuring Model after the Storage Tank Displacement
Authors: Qi Li Mei , Shi Ming Deng
Published: July 2013

All of the gas station has established underground storage tanks in accordance with the unified state standards. Due to the reasons such as deformation of foundation many tanks occurs the longitudinal tilt and lateral deflection changed after a period of time in use that lead to tank capacity charts to change. This paper solves the storage tank displacements recognition and capacity charts calibration by mathematical modeling method and MATLAB software. We study the calibration tank capacity charts when actual storage tank happen vertical or horizontal displacements on the basis of research on small elliptic cylinder oil tank.
Design and Implementation of Measurement System for Power Dissipation Characteristic of Vibration Damper Based on Virtual Instrument
Authors: Luo Xiao Yu , Zhang Yi Sheng , Zheng Yong Ping
Published: July 2013

In order to overcome the disadvantages of traditional instrument for performance test of vibration damper, a power dissipation characteristic measurement system based on virtual instrument was developed. A fully digital test platform was constructed through the use of modular and networked data acquisition equipment. Real-time display and automatic analysis of various measuring parameters were realized. The system has higher efficiency than traditional instrument. Moreover, it is easy to expand base on this existing modular system for further testing requirement.
An Improved Heuristic Algorithm for a Hybrid Flow-Shop Scheduling
Authors: Dai Min , Tang Dun Bing , Zheng Kun , Cai Qi Xiang
Published: July 2013

This paper presents an improved metaheuristic algorithm to minimize the makespan in a hybrid flow-shop scheduling (HFS) with non-identical parallel machines. First, a mathematical model for an HFS problem is introduced. Second, an improved simulated annealing algorithm (ISAA) which is inspired from a hormone modulation mechanism is presented to retrofit speed and accuracy of the algorithm. Finally, the computer simulation demonstrates the good quality of the proposed procedure, and it outperforms several other algorithms.
A Fast and Robust Adaptive Blind Equalization Algorithm in High Speed Satellite Channel
Authors: Zheng Xiao Tian , Li Ji Lin , Zhang Yun Jie , Lin Mo , Wang Xing Rong , Wang Jian , Mao Xiu , Li Xin Hua
Published: July 2013

In this paper, a novel combined leakage CMA and direct decision (DD) adaptive algorithm using automatic iteration step adaptive blind equalizer is presented. In contrast to known CMA algorithm, the novel algorithm can approach the performance of mean-square error and fast convergent rate. For adaption of filters, efficient automatic iteration step and DD algorithm is present. The novel algorithm is lower computational complexity withO(N) and N is the filter order. Furthermore, the relation of novel algorithm to CMA algorithm is investigated. Finally, it is shown that proposed combined LCMA-DD algorithm is robust against amplitude and phase offset with fast convergence and mean-square error.
Load Measurement Method of the MW Class Wind Turbine
Authors: Fu De Yi , Jiao Bo , Xue Yang , Qin Shi Yao
Published: July 2013

In recent years, wind turbine tower buckling and blade broken often happened. Large wind turbine load and insufficient fatigue strength should be the main reasons. To prevent this case, load measurement of the wind turbine is necessary. The wind turbine load measurement is one of the type tests of wind turbine. The load of the wind turbine structure components will strongly affect the safety and life span of the wind turbine. The wind turbine load measurement can help the wind turbine manufacturer and wind farm operator to know the structural response of the wind turbine components with different load cases. According to the IEC 61400-13 standard, a method of the wind turbine load measurement is introduced in this article. Meanwhile, the measurement results are given in this article. The results indicate that the accuracy of this measurement method can fulfill the requirements of the related standards.
Reacher on Ellipticity Error by Use of Minimum Circumscribed Ellipse and Maximum Inscribed Ellipse Algorithm
Authors: Cui Jing Wei , Lei Xian Qing , Tu Xian Ping , Wang Hai Yang
Published: July 2013

A data processing method based on a mesh search algorithm for elliptical profile error evaluation is proposed. First ellipse focuses of the least-square are set as reference points, according to a certain rules, a series of grid points are arranged and supposed as hypothetical ideal ellipse focuses respectively , then the distances of supposed ideal ellipse to the measuring points are calculated repeatedly. The minimum circumscribed ellipse and the maximum inscribed ellipse are constructed by comparison and judgment, and the corresponding value of ellipse profile error is obtained. Furthermore, the principle of the grid search algorithm and the process of ellipse profile error evaluation by using the minimum circumscribed ellipse method and the maximum inscribed ellipse method are stated . The results of examples show that the ellipse profile error can be evaluated accurately and effectively by this algorithm.
Study on Macroscopically Dynamic Monitoring of Newly Increased Construction Land in Northwestern Plains Based on Middle Resolution Remote Sensing Data
Authors: Liu Zhi Hong , Yang Xing Ke , Zhu Qian , He Hu Jun , Cheng San You
Published: July 2013

Analyzing the significance of macroscopically dynamic monitoring of newly increased construction land, and considering the influence of various factors, this paper selects central Shaanxi Plain in Northwestern region for a typical experimental zone, setting up knowledge base of remote sensing images interpretation, using multi-temporal remote sensing images, carrying through interactive interpretation of change patterns spots of newly increased construction land and field validation. Results of middle resolution remote sensing image interpretation are compared, analyzed. Additionally, interpretation accuracy of different scales are studied, especially between middle resolution 10 ms ALOS remote sensing image and panchromatic high resolution remote sensing, on newly increased construction land in northwestern plains, to find out the remote sensing images which can not only quickly extract new construction land change patterns spots, but also can satisfy precision requirement of the business.
Designing a Cerebral Blood Monitoring Instrument Based on Virtual Instrument Technology
Authors: Zhou Nan Quan , Li Fa Hui , Jia Xin
Published: July 2013

A kind of non-invasive impedance cerebral blood monitor is designed on the basis of virtual instrument technology. The system realized the real-time collection and disposal of two-channel cerebral blood signals. Admittance encephaloloop (AEL) was composed of admittance encephalogram (AEG) and admittance differential encephaloloop (ADEG), and the parameters which reflected cirrhosis of cerebral arteries included drag index, elastic index, pouring index, fast inflow phase index and so on, which were calculated by AEL. The instrument can detect dual cerebral blood wave of the patients with real-time and dynamic stabilization. Non-invasive impedance cerebral blood monitor can detect difference between cerebrovascular patients and normal persons. It provides a convenient method for researching, preventing and epidemiological studies of cerebrovascular diseases in our country.
Temperature Testing and Analysing System for Heating Test of Household Electrical Appliances Base on LabVIEW
Authors: Shen Hui
Published: July 2013

Base on LabVIEW software platform,this paper design a temperature testing and analysing system for heating test of household electrical appliances.It realizes the functions of temperature acquisition and processing,temperature curve shown,data analysis and preservation,testing process control.It reduces the complexity of the original testing method,and effectively improve the working efficiency of the testing laboratory.
A UWB Through-Wall-Detection Radar System Based on Android Devices
Authors: Tian Dan , Wang Yong
Published: July 2013

The ultra-wideband through-wall detection radar (UWB-TWDR) system is burgeoning and considered as one of the promising systems for rescue and military use. In this paper, the mechanism and structure of a simple and low-cost UWB-TWDR system are presented. Compared with previous systems, android based mobile devices were used to replace the traditional PC, making the system more portable and affordable for most users. In addition, correlation detectors were applied to simplify the circuit and further reduce the cost. The algorithm for locating and tracking during the process of acquiring and handling data from antennas was also discussed. Experimental results of our system showed a good performance in practical through-wall human detection.
Research on Fault Feature Extraction Methods for Dynamic Analog Circuits
Authors: Zhu Xiao Bing , Chen Shen Jian , Du Kang , Chen Yong Yu
Published: July 2013

The existing dynamic analog circuits fault feature extraction methods are introduced. The research achievements and present development situation of four dynamic analog circuits fault feature extraction methods are summarized. The characters of each method are discussed. The develop directions of dynamic analog circuits fault feature extraction methods are pointed out.
Research and Application of Data Monitoring on Digital Campus
Authors: Yu Chun , Wang Qian , Li Yan Xia , Wang Xin
Published: July 2013

The key technology in monitoring and alarming was investigated, aiming at the data exception and system fault existing in digital campus information system. Data monitoring and management flow was proposed and a data monitoring platform combining monitoring and alarming as well as data management was established. According to the actual requirement of universities, a 3-layers data monitoring system on digital campus was designed and implemented. By accomplishing about 100 data monitoring tasks in multiple business activities, it met the expected result in the establishment and operation of digital campus.
The Development of Electrochemical Hypergolic Vapor Monitoring Instrument
Authors: Cao Ye , Zhang Guang You , Wang Li
Published: July 2013

To prevent environmental pollution and leakage accident, a hypergolic vapor monitoring instrument based on electrochemistry is discussed in this paper. The electrochemical sensor is designed to detect hydrazine compounds of 10-6 level in real time .The monitoring instrument based on electrochemical sensors shows its advantage of hign specificity and fine stability .
Availability Analysis for Airborne ECM System Automatic Test System
Authors: Fan Min , Zhang Hai Xia , Liu Wei Fan
Published: July 2013

In this paper, the composition and characteristics of airborne ECM system automatic test system is fully acquainted, the main factors affecting the availability is analysed, the availability evaluation method of fuzzy mathematics system is studied, the corresponding availability evaluation method is proposed and the availability calculation model is established in this paper. Based on the relevant test data and the detail calculation evaluation for the airborne ECM system automatic test system, the automatic test system is verified available.
A New Method in Gears Fault Diagnosis
Authors: Ma Feng Lei , Zhou Xiao Long , Zheng Yong Tao
Published: July 2013

In this paper, the gears fault signal in the engine was studied. Hilbert-Huang transform was applied for the gears fault signal analysis. From the experiment, the normal engine frequency of 240 Hz was got and the gears fault signal frequency concentrated in 2800 Hz. Through the study of intrinsic mode function and the Hilbert spectrum, improper meshing gears were the cause of this problem. The results showed that this method can effectively extract the fault feature and found out the cause of the problem. A new effective method is provided for the gears fault diagnosis.
Image Mosaic Using SIFT for Bridge Cable Surface Flaw Detection
Authors: Li Xin Ke , Gao Chao , Guo Yong Cai , Shao Yan Hua , He Fu Liang
Published: July 2013

A machine vision system is developed to detect the cable surface damage of cable-stayed bridge. In the system, four cameras are employed to acquire images around the cable surface. So the same one defect may be split into several images. Image mosaic had to be done to obtain a complete defect image for further process. The feature of cable surface image is simple and its illumination is heterogeneous. So the Scale Invariant Feature Transform (SIFT) feature matching algorithm is suitable for the image mosaic. Firstly, cable surface images should be preprocessed. Secondly, the SIFT algorithm achieves the detection, extraction, description and matching of feature points for defect images. Finally, image fusion is implemented to acquire the integrated image and a complete defect will be showed in the image. Experimental results show that using SIFT for the cable defect image mosaic has good effect on improving the detection accuracy and integrity for cable surface defects.
The Realization of Equipment Status Monitoring System Driven by Task Stage
Authors: Tong Xu Feng , Zhang Dong Xia , Baoa Ru Han
Published: July 2013

The equipment resource planning is considered during the procedure of job schedules in manufacturing enterprises. Based on the analysis of interaction between production task and equipment status, a task driven equipment status monitoring system is presented. Through the development of an analyzer, the system can regulate the equipment status automatically according to the perform stage of production tasks and provide the adequate equipment information for job schedules. Finally, the application examples are introduced and the characteristics of the system are summarized as well.
Development of Battery Test System for Electric Vehicle
Authors: Wan Yi Peng , Yao Wei
Published: July 2013

In order to satisfy the test demand of Electric Vehicle batteries, after the analysis of the existing battery test systems, aiming at the problems of them, an EV battery test platform with high degree of simulation is designed, based on the upper and lower computer structure. The PC software is compiled, which could control the battery to discharge with constant current or constant power, or to simulate the real road status, by the communication with the lower computer through CAN bus and 485 bus. The corresponding control method to realize the discharging test with constant current is designed, also an interface to Excel which can read the configure information from Excel to realize the simulation of discharging test is designed. Several battery packs test are completed.
The Development of a SMPS Monitoring System Based on ZigBee
Authors: Ko Jun Ho , Jin Ming , Park Sung Ho , Kim Yoon Sang
Published: July 2013

The rapidly increasing usage of high-powered devices and the high specification in personal and industrial/medical devices has led to a greater demand for a SMPS for high-powered devices. A stable and reliable power source for such devices and research on power quality monitoring systems are needed. To these ends, this paper introduces a SMPS monitoring system based on ZigBee communication. The SMPS monitoring system uses ZigBee to collect the voltage, current, and temperature data from SPMS in real time. The collected data are visually synchronized and the current power supply status is displayed to the operator. In addition, to prevent any decline in the quality of the power, the system gives feedback via smartphone to the operator if errors are detected.
Characteristics of the Spatial and Temporal Variations of Ambient PM2.5 Concentration at Kaohsiung City
Authors: Lu Mei Fang , Huang Mei Chuan , Cheng Kuang Hung , Lin Jim Jui Min
Published: July 2013

The study analyzed the hourly and daily trends of PM2.5concentration and summarized the spatial change in PM2.5concentration as well as locations of the concentration hot spots based on data of PM2.5concentration, wind speed, and wind direction collected at the air quality monitoring stations in 2010 at Kaohsiung City, Taiwan. Results from the correlation analysis of PM2.5concentration suggest that for short-term (1-hr), PM2.5concentration could be easily affected by pollution sources around the monitoring stations, due to the atmospheric dispersion, the trends of long-term concentration change among stations were similar (24-hr). The average annual PM2.5concentration at Kaohsiung City was 41 μg/m3, and the annual over-standard rate was 13.08% compared with the alert concentration value of 65 μg/m3. The average 24-hr PM2.5concentration was the lowest in summer (23 μg/m3) but the highest in winter (62 μg/m3). Concentration change was also the greatest in winter, and nearly 40% of the winter time the concentration was over-standard. Results of this study suggest that higher PM2.5concentration would mainly happen with the winter monsoon (north wind), while lower PM2.5concentration would mainly happen with the summer monsoon (southwest wind). Furthermore, Daliao and Linyuan monitoring stations at Kaohsiung City are the hot spots with the highest concentration. The results also suggest that the environmental agency should further assess influences from these high PM2.5concentration hot spots on local people and formulate effective strategies for pollution emission control.
The Neural Network Prediction to the Wear and Tear Fault of Thrust Bearing in Air Compressor
Authors: Zhang Song He , Luo Yue Gang , Wu Bin , Wang Bing Cheng
Published: July 2013

The wear and tear allowances (displacements) of axial thrust bearing in air compressor was diagnosed and predicted, applying the model of artificial neural network (ANN), and compared with the traditional method of diagnosis and prediction. It showed that the results of diagnosis and prediction are more precise than that of traditional method. It can diagnosis and predicts the wear and tear allowances of axial thrust bearing better.
Intrusive Vibration Sand Monitoring System for Heavy Oil and the Laboratory Evaluation
Authors: Liu Gang , Liu Peng Tao , He Bao Sheng
Published: July 2013

Sand production is a serious problem nowadays during the exploitation of oil wells. The mainly research of sand production is focus on the mechanism of sand production and sand prediction, which cant monitor sand production continually and effectively. So a sand monitoring system is needed. The sand monitoring methods mainly contain ultrasonic method and electrical resistant method,but they both have limitations. An intrusive surface vibration sand monitoring system can collect high-frequency vibration signal caused by sand impact using acceleration sensor and then the signal is analyzed in time-domain and frequency domain through special computer software. The system simulates the signal signature of the crude oil in different sand content, velocity of flow and oil temperature under laboratory conditions. The tests show clearly that the s system can perceive the changes in the conditions of fluid.
Research on a Transmission Error-Testing System of Harmonic Drive Based on LabVIEW
Authors: Gao Jian Cheng , Xin Hong Bing , Cui Deng Qi , Liu Long , Xin Yue Fei , Wang Tan
Published: July 2013

On the basis of a transmission error-testing laboratory bench which is designed in advance, the research and design of a transmission error-testing system of harmonic drive are carried on. The structural composition and test principle of this testing system are introduced. Based on the software, LabView2009, the design of the transmission error-testing system of harmonic drive is finished. With the help of this testing system, the following purposes can be realized. The input and output angle data of the harmonic drive can be acquired, its transmission error is capable of being analyzed and the data will be able to be stored.
Magnetic Ferrite/Conductive Polyaniline Nanocomposite as Electromagnetic Microwave Absorbing Materials in the Low Frequency
Authors: Wang Wen Jie , Zang Chong Guang , Jiao Qing Jie
Published: July 2013

Electromagnetic microwave absorbing composite material containing magnetic Mn-Zn ferrite/conductive polyaniline nanocomposites introducing into epoxy resin were fabricated. The conductivity of the Mn-Zn ferrite/polyaniline nanocomposites were investigated by a four point probe method. Complex permeability and reflection loss of the Mn-Zn ferrite/conductive polyaniline/epoxy resin composites have been studied in the frequency of 30 MHz to 1 GHz. It has been found that the conductivity of the nanocomposites can be tailored by controlling the weight percentage of polyaniline. The complex permeability increased with the decreasing weight percent of polyaniline. The composite with the polyaniline weight percent of above 60.89 % can effectively broaden the absorbing band with minimum absorption of 5 dB about 500 MHz. It has also been found that the composite with the polyaniline weight percent of 28.12 % has a maximum absorption of 23 dB at about 700 MHz for a coating thickness of 2 mm. Therefore, the prepared composites can be potentially applied in electromagnetic absorbing field in the low frequency.
Metal Corrosion Problems and Countermeasures in High Conductivity of Circulating Water
Authors: Huang Chang Shan , Xu Hui Wu , Cheng Yu Shan , Wu Jin Ying , Xue Mian
Published: July 2013

Objective: Through the test of air conditioning cooling water circulation system and the electrical conductivity of iron corrosion velocity, find out the method of corrosion control measures; Methods: Rotating hanging plate method and conductivity meter and other cooling water test air conditioning system in different conductivity of metal iron corrosion rate; Conductivity results: Air-conditioning cooling water circulation system of more than 1900 μs/cm, metal corrosion rate less than 0.05mm/a, shall meet the relevant standards. Conclusion: Through the addition of corrosion inhibitor, scientific emission and control of circulating cooling water pH, conductivity decreased circulating water cooling, can reduce the corrosion of iron, to ensure the safe and stable operation of cooling water pipe and equipment.
First-Principles Study of Electronic and Optical Properties in Wurtzite ZnCoO Alloys
Authors: Li Ming Zhu , Song Li Mei , Wang Shan
Published: July 2013

We perform a first-principles simulation to research the electronic and optical properties of wurtzite Zn1-xCoxO. The simulations are based on the Perdew-Burke-Ernzerhof form of generalized gradient approximation within the density functional theory. Calculations are carried out in different concentrations. With increasing Co concentration, the band gap of Zn1-xCoxO decreases due to the shift of valence band. Besides, it is shown that the insertion of Co atom leads to redshift of the optical absorption edge. Meanwhile, the optical constants of pure ZnO and ZnCoO alloys such as loss function, refractive index and reflectivity, are discussed.
Study on Basic Properties and High-Temperature Performance of Rice-Husk-Ash-Modified-Asphalt
Authors: Cai Jun , Xue Yong Jie , Wan Li , Wu Shao Peng , Jenkins Kim
Published: July 2013

Currently, many inorganic materials are investigated for modifying asphalts, but biomass ash is rarely applied to the modification of asphalt. In this present work, rice-husk-ash, as a representative of the biomass ashes, was added as a modifier to evaluate the related performance. The result showed that the basic performance, aging resistance, and high-temperature performance of modified asphalt has been improved, which proves that biomass ash can be used as an asphalt modifier for resource reuse.
Laser-Induced Shape Memory Polymer Actuator Used in a Deployable Display
Authors: Zhang Da Wei , Zhang Jia Jia , Wei Rui , Xia Jing Wen , Jiao Dan Ni , Pan Yun Xiao
Published: July 2013

Deployable flexible displays attract a great attention recently. The flexible display used on electronic equipment have been developed, which can deploy to reveal a much larger screen or rolled up. However, one of major problems is its actuation of deployment and fixture. In this paper, a deployable display actuated by the SMP actuator is proposed. The shape memory polymer (SMP) actuator, which is considered to be attached to the back side of a flexible display, is used to deploy and fix the flexible display. A new method of laser-induced actuation of SMP actuator is investigated. By this method, the SMP can be induced by infrared light transmitted through a treated optical fiber embedded in the actuator.
Electrodialysis Treament of Low Concentrations of Wastewater Containing Cu2+
Authors: Liu Chong Hui , Qu Guang Fei , Guo Hui , Li Zhao , Ning Ping
Published: July 2013

The wastewater contained Cu2+which the concentration ranged from 10 to 50 mg/L are used as the target, to investigated the influences of experiment conditions on the treatment efficiency by electrodialysis enrichment experiments, the authors designed the electrodialysis device, and copper sulfate solutions are used as the objectives. The experiments were investigated when the membrane adsorbed bubbles and removing bubbles, the results show that removing bubbles can improve the efficiency of the concentration and desalination. During the electrodialysis process, the intensity of light chamber has effects on the current intensity, the study in this paper proposed a optimization program for the existing electrodialysis devices.
Optimization of Crab Flavoring Extraction by Means of Enzyme Processing Aids from Chinese Mitten Crab (Eriocheir sinensis) By-Products Using Response Surface Methodology (RSM)
Authors: Wang Jue , Wang Xi Chang , Liu Yuan
Published: July 2013

In order establish an efficient and environment-friendly process, crab flavoring were extracted from Chinese mitten crab(Eriocheir Sinensis)by-products using a selected enzyme formulation (including ratio of enzyme to material, pH and temperature). To the purpose, the extraction yield (Y) of amino acids was selected as the response variables. The model given through response surface methodology enables us to identify the optimum operating conditions (ratio of enzyme to material 1.7g/100g, pH 6.5 and temperature 65.3°C, respectively), under which it predicts a maximum response of extraction yield of amino acids 34.27μg/mg. Crab flavoring extraction is rich in sweet taste free amino acids by automatic amino acids analyzer. These results, suggests that the use of the flavourzyme treatment could extract crab flavorings out of crab by-products.