bluuebunny/crossref_metadata_2025 huggingface dataset:
Image Fusion Using Wavelet Transform and Fuzzy Reasoning
Authors: Ding Xue Wen , Mahundi Berthold , Yang Fei , Xu Guang Quan
Published: December 2012

The image fusion algorithm discussed in this paper which utilizes wavelet decomposition and fuzzy reasoning combines images from diverse imaging sensors into a single composite image. It first decomposed source images through wavelet transform, computed the extent of each source image’s contribution through fuzzy reasoning using the area feature of source images, and then fused the coefficients through weighted averaging with the extents of each source images’ contributions as the weight coefficients. Experimental results indicate the final composite image may have more complete information content or better perceptual quality than any one of the source images.
Constrained All-k-Nearest-Neighbor Search
Authors: Li Shu Long , Chen Lu , Liu Qing , Zhang Jian
Published: December 2012

All-k-Nearest-Neighbor (AkNN) operation is common in several applications, such as geographical information systems, data analysis, computer architecture, and so forth. However, in some real applications, users may consider AkNN search constrained to a specified region. Motivated by this, we introduce the Constrained All-k-Nearest-Neighbor (CAkNN) query that for every data in query data set A, retrieves its k NNs in data set B and located in the restricted region. In addition, we develop two efficient algorithms to answer CAkNN search, which utilize a conventional data-partitioning indexing structure (e.g., R-tree) on datasets and employ techniques includes group and plane-sweep to improve the efficiency of the search. Extensive experiments using both real and synthetic datasets demonstrate the efficiency and scalability of the proposed algorithms.
Two Spectral Reconstruction Methods and their Accuracy Comparison
Authors: Zhu Yuan Hong , Li Bo , Chen Qiao , He Song Hua
Published: December 2012

Proposed and implemented two complete multi-channel spectral reconstruction methods based on basis functions and pseudo-inverse, and using RGB digital camera built up a reconstruction system. A set of algorithms that enable virtually complete digital response value correction were proposed. The root mean square error and color difference as evaluation criteria to compare the reconstruction accuracy of two methods, and experiment show that the accuracy of both methods is basically the same, but the basis function method is more suitable for multi-spectral reconstruction operations.
Detecting and Quantifying T Wave Alternans Using Linear Least Squares Curve Fitting Method
Authors: Wan Xiang Kui , Yan Kang Hui , Li Ming Gui
Published: December 2012

Evaluatement of T-wave alternans (TWA) is a non-invasive method to identify patients at risk for sudden cardiac death. A novel time-domain algorithm based on linear least squares method (LSM) for TWA analysis is developed in this paper. And the LSM’s ability to TWA analaysis in comparison with the modified moving average (MMA) method was demonstrated. In a simulation study LSM and MMA can both detected TWA with high accuracy, but under lower SNR levels LSM was found more robust, and its evaluated TWA values are closer to true TWA value. The algorithm was subsequently used to analyze the clinical ECGs from T-Wave Alternans Challenge Database, which showed that the results from this method vs. MMA had the correlation coefficients of 0.89.
Application Analysis of Compressive Sensing/Sampling Theory on Source Localization
Authors: Han Xue Bing , Qiu Chun Hui , Jiang Zhao Jun
Published: December 2012

In this paper, we consider the source localization problem with Compressive Sensing/Sampling (CS) Theory. CS Theory asserts one can reconstruct sparse or compressible signals from a very limited number of measurements. A necessary condition relies on properties of the sensing matrix such as the restricted isometry property (RIP). This paper explains why sparse construction can be used in source localization with RIP conception.
Contourlet Transform in the Application of the Image Fusion
Authors: Zhao Zhuan Zheng
Published: December 2012

Image Fusion is integrating two or more sensors at the same time or at different times of image or videos equenece to generate a new interpretation of this scene. Its main purpose is increasing reliability or image resolution by redueing uncertainty through redundancy of different images.In this paper, a image fusion method based on contourlet transform is presented. The algorithm can fuse corresponding information in different resolutions and directions, which makes the fused image clearer and more abundant in details. Meanwhile, because of the fuzzy logic’s capacity of resolving uncertain problems, it overcomes the drawbacks of traditional fusion algorithm based on contourlet transform, and integrates as much information as possible into the fused image.
The Main Steam Temperature Cascade PID Controller Parameters Tuning Optimization Based on Ant Colony Algorithm
Authors: Hu Ji Ming , Ji Qing Shan
Published: December 2012

The main steam temperature of the boiler adopted usually a cascade PID control. Traditional PID parameter engineering tuning method has a very high demand for the control personnel. And the control loop of inner and outer ring interacted. Adjusting wasted the time and labor, and the control effects were difficult to achieve the optimal. Adopting the ant colony algorithm can optimize Cascade PID controller parameters. A combination of multiple parameters was the ant colony's foraging path, and the moment integral of absolute error was the optimization objective function, through the simulation for an ant foraging process, the optimal combination of parameters was identified. The simulation results showed that the main steam temperature cascade PID controller based on ant colony algorithm has good control effect.
A Method for Extracting QR Code from Complex Background Based on Morphology
Authors: Yang Xu , Gao Xiang , Jia Si Qiang , Lu Qi Yong
Published: December 2012

In this paper we propose a new QR code extracting method based on morphology. Most of the time, locating Finder patterns is a significant part of QR code extraction. On the basis of traditional Finder Pattern detection method which checks whether certain areas meet 1:1:3:1:1 in both vertical and horizontal directions, we further refine the true Finder Patterns from several candidate areas through acreage proportion and gravity center detection, so as to eliminate interference from complex background. After image segmentation and getting the true finder patterns, other than the traditional method such as edge detection, we introduce the algorithm of region growth, along with choosing one seed pixel from obtained finder patterns to roughly figure out the QR code area. Eventually, by combining corner detection and inverse perspective transformation, we accomplish the extraction of QR code. Experiment results show that this method has robust correction capability from complex background and QR code deformation.
Application of Intelligent Algorithms to Interruptible Load Dispatch Model
Authors: Sha Quan , Zhang Shao Hua
Published: December 2012

Interruptible load management plays an important role in maintaining the reliability and security of power systems and reducing price spike of power markets, thus has been widely used in power systems. Interruptible loads dispatch problem with multi-period and multi-interruptible-load is usually a multi-objective, combinatorial optimization problem, and its solution method needs to be carefully investigated. Application of intelligent optimization algorithms to the multi-period interruptible load dispatch problem is discussed in this paper. Multi objectives, such as minimizing the interruption payments and interruption frequency, can be included in the proposed interruptible load dispatch model. The characteristics of different interruptible loads are also considered. Numerical simulations using discrete binary particle swarm optimization (BPSO) and the genetic algorithm (GA) show that the BPSO can obtain better solutions than that of the GA. Thus the BPSO presents better potentials in solving the interruptible load dispatch problem.
A Novel Grid Phase Estimating Algorithm Based on BP Neutral Network
Authors: Zhang Li Na , Chang Jin Ming
Published: December 2012

With respect to the voltage distortion caused by harmonics and unbalanced loads, traditional digital phase lock algorithm doesn't work properly. And this paper presents a novel estimating algorithm based on BP neutral network model. The voltage signal is the input of the network and then by training the network with the prepared samples, the network can calculate the grid phase correctly. This algorithm has no relationship with the harmonics so it can work in a wide range. A network program is finished and the algorithm is validated. The results show that the algorithm works effectively and the result is correct.
A Kind of Index Technology Based on Binary Tree Efficient Space
Authors: Chen Hong Ming , Zhou Hai Yan
Published: December 2012

Space index is one of the key technologies of spatial database, and also one of the biggest problems with puzzling GIS workers. So , how to build a more effective spatial index structure ,which has been the most realistic, most urgent, also to the forefront of research subject to GIS domain and graphics processing. This paper introduces several typical spatial index methods in the e GIS domain and graphics processing fields, and puts forward a binary tree index structure generated space grid step by step. The average time complexity of the index structure is the same with the quad tree index structure, but the maximum time complexity is reduced a third than the quadtree index structure, that is, the search efficiency improving a third.
Research on Intelligent Layout System of Blanking Parts
Authors: Li Fang Juan , Chen Yu Quan , Hua Chun Xia
Published: December 2012

In order to assemble and layout of various irregular stamping parts, the paper proposed a new kind of algorithm combining CHNN and genetic algorithm. It built models for irregular parts, and these irregular parts were processed by using the surrounding rectangle methods and graphic composition. The paper used AutoCAD as a develop studio, and discussed CHNN and its mapping to layout and optimize the weight of CHNN by genetic algorithm. The core program adopted VB program language and developed the intelligent layout system. Sample analysis shows the results that the system has good man-machine interfaces, interactive features, high speed and quality retention of solution.
Research of Corrosion and Protection on Boiler and Pipelines by Condensing Water
Authors: Huang Chang Shan , Wu Jin Ying , Xu Hui Wu , Cheng Yu Shan , Zhang Min
Published: December 2012

Boiler and pipeline that using steam condensation water will be eroded when the steam condensation water absorb dissolved oxygen and carbon dioxide in the production and recycling process. In order to solve this problem, a preferably management flow and process were developed to slow down the Boiler and pipeline corrosion process by analyzing the microstructure of corrosive Boiler and pipeline with a Electrochemical method. Firstly, rinse the Boiler and pipeline with 5% citric acid at about 90 oC, after that process adding 4~6mg/L anti-filthy corrosion inhibitor to the steam condensation water and adjusting pH at 8.0~9.5 by 30% sodium hydroxide or 50% sulfuric acid. At the same time maintenance water conductivity below 1200μs/cm by discharging condensation water. This method will play an import part in managing Circulating cooling water.
Acoustic Information Acquisition and Time Domain Analysis on Alternating Current Rail Flash Butt Welding
Authors: Lv Qi Bing , Tan Ke Li , Zhang Xi , Chen Jian , Liu Guo Qing
Published: December 2012

Based on the mobile rail flash butt welding machine UN5-150ZB, the synchronous data acquisition hardware system was designed to collect welding current, welding voltage and flash acoustic signal in welding process, and the software platform with the functions of signal collecting, waveform display and data operation was developed by higher-level programming language LabVIEW. After the welding current, welding voltage and flash acoustic signal in welding process had been collected, the mean, variance and mean square value of flash acoustic signal in time-domain were analyzed. Through comparison, the relationship between these characteristics and the stability of flash was analyzed. The result shows that the changes of mean and variance of flash acoustic signal are not obvious, and do not correlate with stability of flash, but the mean square value in time domain is closely associated with the stability of flash, and the stability of flash can be indicated by the mean square value.
Effect of Mn, Si on Varistor-Dielectric Characteristics of Nb-doped SrTiO3 Ceramics
Authors: Wang Ning Zhang , Li Jian Ye , Ning Ji , Liu Jing
Published: December 2012

The varistor-dielectric characteristics of SrTiO3 ceramics with various amounts of MnCO3 and SiO2 additives was studied. The experimental results show that , with the increase of added amounts of MnCO3, the resistivity (ρ), nonlinear coefficient (α) and varistor voltage (V10mA) increase firstly and then decrease while the dielectric constant (ε) and dielectric loss (tgδ) decrease firstly and then increase. The best added amount of SiO2 is 0.4wt% because the electrical properties of SrTiO3 ceramics drop when x(SiO2)>0.4wt%.The SrTiO3 based ceramic, with the doping of 0.5mol%Nb2O5+0.5mol%MnCO3+0.4wt%SiO2, the better microstructure and electrical properties can be obtained.
The Analysis and Design of Internet Course Teaching System for Operation System
Authors: Du Qi Jun
Published: December 2012

Based on the design theory of internet course teaching, combined with the course of operation system, some key technology has been introduced, such as the development process of teaching, network system, the curriculum and various network elements: learners, teaching objective, contents of teaching, learning environment, teaching strategies, evaluation, etc. Some construction of network course building should be noted, which all has strong and practical significance for others. With the rapid development of Internet and the gradual perfection of the modern education technology, the education philosophy and approaches have been keeping innovated. The Internet-based courses have aroused many people’s concern. Compared with traditional courses, it is much more flexible, efficient, interactive, and convenient. It can also meet the need of individual-tailored service. With regards to the target learners, forms of the contents, course arrangement and studying methods, online education is incomparably superior. Thus the application of online teaching is one of the most effective ways to improve the teaching level. Based on the online courses teaching design theories, combined with the course of the computer operation system, the paper introduces the key technologies related to online course design and development, which is suggestive to other online courses studies.
Effect of Imaging Induced by Defilement on Lens
Authors: Zhao Jian Jun , Liu Jin , Niu Yan Xiong , Wang Hai Bo , Yan Shi
Published: December 2012

An image theory of defiled lens is established in this paper on the basis of Kirchorf theory. By discussion, it was found that light field distribution function of image plane is piled up by image of object and diffracted image of defiled area on lens. It is pointed out that the diffraction image of the defiled lens can be viewed as Fraunhofer diffraction when the object distance is almost infinite, and it can be obtained by Fourier transformation.
Study of the Interaction between Three New Amantadine Schiff Bases and BSA by the Multi-Spectroscopic Method
Authors: Niu Hua Ying , Liu Bin , Ma Ping , Wang Xin , Liu Bing Mi , Wang Dong Jing
Published: December 2012

The binding of three amantadine schiff bases (ASBs) to BSA was investigated by ﬂuorescence spectroscopy, UV-Vis spectroscopy and circular dichroism (CD). The results showed that the fluorescence of BSA was quenched remarkably by these compounds via a combination of static and dynamic quenching. Binding constant (Ka), number of binding sites (n), and the binding distance (r) between three ASBs and BSA were calculated in this study. Displacement experiments were performed to identify these compounds binding sites on BSA, and the results showed that site I was the main location for ASBs binding to BSA. Moreover, synchronous ﬂuorescence spectra and CD data revealed that ASBs induced the conformational change of BSA.
MMW Radiometric Characteristic Experiments of Water Plant for Environmental Protection
Authors: Zhang Guang Feng , Wang Qi , Lou Guo Wei
Published: December 2012

Different from the usual plant radiometric measurement, the antenna temperature contrast modeling of plant and the water surface is presented for the purpose of plant growth monitoring. With the help of multilayer dielectric model, the brightness temperature contrast of the plant on water is obtained by modeling and experiment. According to the actual measurement by 3mm and 8mm band radiometer, the contrast of water and plant on the water can be test effectively for the environmental protection of the water surface.
A Straight-Line Trajectory Tomography Method Based on Multiple Tilted X-Ray Cone-Beams
Authors: Fu Jian , Zhang Jun Wei , Tan Ren Bo
Published: December 2012

A straight-line trajectory tomography method, based on multiple tilted X-ray cone-beams formed by multiple sources and detectors, is investigated. In this method, multiple cone-beams are fixed and tilted at different positions and only the object translates along a straight-line trajectory. This kind of imaging method may have potential applications in industry testing and security inspections. As is known, projection data from a straight-line trajectory based on single cone-beam are incomplete and their reconstruction suffers from a limited-angle problem. The proposed straight-line trajectory tomography method based on multiple tilted X-ray cone-beams can be used to compensate these deficiencies. To reconstruct images, the filtered back-projection (FBP) reconstruction algorithm for the middle plane is first derived from the Fourier slice theorem. It is then extended to non-middle planes with the Feldkamp-Davis-Kress (FDK) approximation. Numerical simulations validate our method.
The Research of Nondestructive Testing of Apple Acidity Based on Near Infrared Spectroscopy
Authors: Zhao Ke , Si Hong Wei , Xiong Yan
Published: December 2012

the detection of the apple internal acidity using near infrared reflection spectroscopy is researched in this paper. This paper also elaborates the principle of partial least squares (PLS), and models spectral data by using the partial least squares method. Focuses on the comparison of the single points measurement and multiple points measurement in the Apple’s maximum diameter measurements, gets the following conclusions: a single point spectral scans can not accurately predict the internal acidity of the apple, the experimental precision of the multi-points measurement is higher then the single points measurement. The authors suggest that the measurement of average spectral values by multi-fiber optic probe should be used for the detection of the apple acidity.
Electromagnetic Induction Angle Sensor Error Correction Method
Authors: Zhou Wei , Zhang Jun , Wang Si Qi , Zhu Kai , Xu Zi Li
Published: December 2012

Electromagnetic induction angle displacement sensor processing error seriously affected the measurement accuracy, the system using multi-position probes method to eliminate harmonic errors. According to the electromagnetic induction angle sensor error characteristics, the 32 antipodal sensors are analyzed theoretically, 64 multiple harmonics are isolated，and the influence of periodicity multiple harmonic error have been removed by multi-position probes method. The error correction method eliminated systematic error of manufacturing processes. The electromagnetic induction angle sensor precision reach expected targets of 2′.
The Volumetric Clipping for Industrial Computerized Tomography Based on CUDA
Authors: Jiang Shao Feng , Liu Hong Gang , Sun Jin Li
Published: December 2012

The fast development of the Graphics Processing Unit’s progammability and parallel computing power provides new solutions for visualization technology. As the carrier of volume date, a cubic box is selected as the bounding box in the improved ray-casting algorithm, whose diagonal vertex coordinates are stored in boxMin and boxMax respectively. By adjusting the two parameters we can change the shape of the bounding box and then choose the interesting region of the object, a CUDA based interactive volumetric clipping tool is finally realised. By changing the shape of bounding box, the axial volumetric clipping and arbitrary cross-section clipping are important ways to help to get the object's internal information. Experiments show this method is simple, efficient and useful especially for the irregular shape defect. In addition, even for the larger volume of data, we can get a high quality, cross-sectional images on a fast speed.
Implement of UWB Radar for Human Life Detection
Authors: Lou Jian , Wang Yong
Published: December 2012

Ultra-Wide Band (UWB) technology is making progressing rapidly, and many meaningful applications based on this technology are under studying. For instance, UWB Radar for Human Life Detection is a promising usage, which is considered as an effective machine to rescue the earthquakes’ victims, detection weapon in anti-terrorism wars, and medical device to detect patients’ life information. In this paper, a non-invasive UWB Life-Detection Radar developed in simple structure is described, and the key mechanism of this system is given, the method of processing the radar echo signal is discussed, finally, the results of the life-detection experiments based on this radar are introduced.
Orthogonal Binary Waveform Optimization for Mimo Radar Systems
Authors: Ebregbe David , Deng Wei Bo
Published: December 2012

Waveform optimization for multiple-input multiple-output (MIMO) radar systems for good autocorrelation and crosscorrelation properties based on the direct design of the set of orthogonal transmitted time series is considered. Exploiting the orthogonality of non identical walsh functions, which have been used successfully in spread spectrum communication, the Walsh-Hadamard matrix is used as the orthogonal binary signal set followed by the simulated annealing statistical optimization tool to provide an optimal orthogonal binary signal set with the desired correlation properties
Suppression of Sea Clutter of Skywave Radar Based on AR Model
Authors: Zhang X H , Sheng W , Liu S H
Published: December 2012

The prediction of chaotic time sequence based on AR model is studied. The forming mechanism of the first-order Bragg lines of sea clutter is analyzed. According to the signal characteristic of sea clutter, a sea clutter time sequence predictor and a skywave radar sea clutter suppression system based on AR model are presented. The cancelling of sea clutter is achieved by subtracting the predicted signal from the original signal. The simulation results show that the first-order Bragg lines in the signal were suppressed effectively after processed by this sea clutter suppression system, the detecting performance of skywave radar was increased dominatively.
A Method for Detecting Noise, Single Pass, Cross Pass and Echo of Mobile Phone
Authors: Chen Lei , Wang Ping , Liu Fu Qiang , Ai Qing , Pang Hui Fang , Li Yan Chao , Cao Hai Lang
Published: December 2012

Quality of Experience is referred to as an important index for measuring how well the user's requirements are satisfied, and many methods have been presented to evaluate speech quality. But they cannot identify the kind of disturbances when the quality of speech is not good. This paper aims at proposing a method which can identify the kind of disturbances lowering the Quality of Experience. The approach proposed is based on PESQ and P563 algorithms. It adopted asymmetrical factor of PESQ and cosine distance in frequency domain to compare original signal with degraded signal. And a new time realignment method and temporal masking method were used to improve detection precision in wireless environments. This new algorithm is tested in real world including GSM and UMTS environments. The results indicate that this algorithm is helpful for detecting noise, single pass, cross pass and echoing automatically.
Data Acquisition and Vibration Analysis Based on LabVIEW
Authors: Kang Li Li , Zhang Ze , Yu Jian Ming
Published: December 2012

According to the characteristics and analysis methods of the vibration signal, this paper analyses and processes the vibration signal with the combination of the INV9822A sensor, the PCI-4472 data acquisition card and the signal acquisition system using Fourier Transform. The vibration law is analysed effectively to explain the effectiveness and practicality of the method due to the compressor vibration signal.
Fusion of Panchromatic and Multispectral Remote Sensing Data Using an Improved Region Regression Model
Authors: Xie Xing , Dai Qin Ling , Zeng Qi Hong , Chen Ying Yue
Published: December 2012

A region-based regression model is presented to fuse a pair of panchromatic (PAN) and multispectral image (MS) in order to get a pansharpened image with high spectral fidelity. Firstly, the images from two different sensors are segmented into isolated regions respectively by the mean shift segmentation method with embedded edge confidence. Then, three segmentation maps got from two images are used as reference of the following segment-based modeling process. The regression model is established independently for each isolated region by considering the linear relationship between corresponding PAN and MS image pixel values in the region. Finally, a modulation-based fusion technique is employed to get the fusion result. Two pairs of images are used for evaluating the method in both qualitative and quantitative ways. The method shows the superior result.
Land Utilization and Classification Method Based on Remote Sensing Technology
Authors: Sun Tong He , Yan Guo Qing
Published: December 2012

This paper discusses land utilization classification based on remote sensing technology. Taking the Xinjiang Kulja county bureau department area remote sensing images as the basic information, and using ERDAS IMAGINE, this paper discusses non-supervised classification and supervised classification methods. The results show that remote sensing technology applies to land utilization situation and land classification, which has reference value.
Application of Global Position System Real Time Kinematic to Photocontrol Point Measurement in Large Scale Aerial Survey and Analysis of the Precision
Authors: Li Tian Zi , Liu Chang Hua
Published: December 2012

With the widely application of large scale aerophotogrammetry ,the traditional measurement methods already can’t satisfy the efficiency requirements of Photocontrol Point Measurement. There are some obvious advantages in GPS RTK, so it’s applied to Photocontrol Point Measurement. This article takes Jiaozuo with an aerial survey of 1:2000 for example, and introduces the operation of GPS RTK, analysis the problems in the procedure of operation, and also offers solution. As a result, the article provides a good reference to the application of Photocontrol Point Measurement. It analysis the measurement accuracy in GPS RTK, precision analysis about spatial aerotriangulation and proves that it satisfies the demand for proportion of 1:2000.
New Progress of Contemporary Cartography-Navigable Electronic Map
Authors: Liu Lin , Li Wan Wu , Sun Chen , Xu Ting
Published: December 2012

The paper gives the definition of the navigable electronic map, generalizes the theoretical basis of the navigable electronic map, analyzes the characteristics of the navigable electronic map from the aspects of the general characteristics, the data and the function, and studies the content of the navigable electronic map including the basic geographic information, the navigable thematic information, the auxiliary multimedia information, the dynamic additional information, and finally points out the development trend of the navigable electronic map.
GNSS Signal Power Spectrum Density Analysis
Authors: Huang Xu Fang , Chen Jing Kai
Published: December 2012

The correct analysis of power spectrum density is very critical when assessing the radio frequency compatibility among GPS, Galileo and BD. Among a number of papers on this research, some, however, ignore the fact that short-code would produce line spectrum, and some present derivation results with errors. The above problems, instead, are given close attention by this paper. The paper firstly analyzes the characteristics of power spectral densities of Global Navigation Satellite Systems (GNSS) baseband signals, taking into account the real properties of the signals, such as code length, data rate, code chipping rate and characteristics of spreading code. And then it presents the detail derivation process. To verify the correctness of its results, GPS C/A code signal is taken as an example. The simulation of this research produces three results that include the line spectrum, real PSD and the spectral separation coefficient of C/A code in different data symbol period. It is concluded that the derivation results prove to be correct, and the data symbol period should be regarded as an important parameter of short code when assessing the radio frequency compatibility.
The Coal Production Anomaly Detection Based on Data Mining
Authors: Wang Guang Hui , Kuang Ya Li , Wang Zhang Guo
Published: December 2012

Choose data Mining to study the anomaly detection in coal preparation, using ash of raw coal , rapid ash and yields of raw coal which density below 1.45, and ash and actual yields of fine coal in the database as sample attribute of coal production anomaly detection model, based on Box-plot analysis, the evaluating values range of five attribute above are determined. On this condition, by using SVM and KNN, the identification model of anomaly detection in coal preparation is established. The Receiver Operating Characteristic curves analysis result shows judging production target Abnormal Conditions using SVM will be more accurate in coal preparation.
Application of Flame Image Recognition-Based Information Fusion Technology to Roller Kiln Temperature Detection
Authors: Zhu Yong Hong , Liu Yan Fang
Published: December 2012

Roller kiln is a kind of advanced fast sintering kiln. In production process of roller kiln, materials sintering of burning zone is the key working procedure which affects product quality directly. Hence, the temperature detection process of burning zone became the key link in roller kiln control system. This paper proposed a kind of fusion method of both temperature point detection and flame image recognition of imitating ‘artificial-look-fire’. Flame image processing-based temperature detection scheme was also given. In the scheme, expert system fuses temperature data detected by the thermocouple with flame image data of burning zone detected by CCD so as to obtain the actual temperature of burning zone. The method proposed greatly improves the temperature detection precision of burning zone working conditions. The experimental results show that the proposed method is feasible and effective.
Application of Rock Mechanics Parameters to Obtain Formation Pressure
Authors: Tian Yong , Lin Hai
Published: December 2012

Using triaxial tests of rock mechanics on stress testing instrument to analyze the results of its parameters, and obstained the the region that was consistent with the transformation between static and dynamic rock mechanics, the relationship between formation pore pressure and rock mechanical parameters, the pressure profile in the basis of rock mechanics parameters, etc. Combination of logging information and data, the method was identified which was in line with the use of rock mechanics parameters to strike a formation pressure. Using this method, I have analysised the formation pressure profiles of several wells in a block, and established the corresponding formation pressure detection section and the section of rock mechanics. The tested pressure and the measured pressure were compared more than 85% accuracy.
Detection of Life Characteristic Signals Based on High Order Statistics
Authors: Li Jian Jun , Zhao Jian Feng
Published: December 2012

Life parameters signal has characteristics of extremely low frequency, low signal-to-noise ratio, and the easy submerged in strong clutter noises. The method for detecting life signal based on filter bank and high order statistics is presented, in which neither the Gaussian supposition of the observed signal, nor a prior information about the waveform and arrival time of the observed signal is necessary. The principle of method is to separate the spectrum of input signal into many narrow frequency bands, whose Sub-band signal is followed by a short-time estimation of higher-order statistics so as to suppress Gaussian noises. Simulated results show that the method not only can completely descript life signals in the time-frequency domain, but improve the signal-to-noise ratio and the ability of detecting algorithm. Moreover, the method is effective and practical.
Object Detection with Ultrasound Sensors in Mobile Robots Working Area
Authors: Mihai-Alin Bîtea , Valer Dolga
Published: December 2012

The ultrasound sensor imitates the bats and the other animals’ abilities to use ultrasound frequencies for navigation in order to determine the distance between them and the obstacles. These sensors are recommended to be used for difficult applications, in gasiform environments and represent one of the mobile robot’s sensor options. Our purpose of this study lies in presenting a method of detecting the distance between the mobile robot and obstacles and recording it, and in the same time the possibility of implementing it in order for it to be used by individuals (subjects) in applied studies.
The Data Acquisition and Transmission System Design and Realization of Mine’s Dynamic Weighbridge
Authors: Chen Jian Zhong , Shen Feng , Xu Ming Shan
Published: December 2012

In this paper we presente the design and implementation of a dynamic weighbridge data acquisition and transmission system suitted for mine production condition. The paper focuses on stagger installation weight-sensors to realize multi-function tramcar judgement,based on embeded technology’s ARM series hardware built the multiprograming control acquisition trasmission flat roof,intergration techniques a dynamic weighbridge system come firth in mine and obtain the anticipate effects.
Development of a High-Speed Ion Signal Acquisition System for Mass Spectrometer
Authors: Yu Hong Qi , Wang Yi Nan , Xing Jin Ling , Wang Peng , Liu Hu Sheng , Hou Yue Wei , Li Nan , Sun Zhao Lin
Published: December 2012

Due to the rapid development of manufacturing technology, high-speed high-resolution data acquisition system has been widely applied in plenty of engineering fields, such as radar, environmental surveillance, mass spectrometry, etc. In order to satisfy the increasing requirement, we present the design of a high-speed data acquisition system, which is mainly composed of high-speed time-interleaved analog-to-digital converter, high data throughput interface based on 10 gigabit Ethernet. The detailed design and realization of each module are presented. Finally we test and analysis the performance of the ion signal acquisition system, and the results show that the system performs fine speed, high precision and stability.
The Current Situation and Development of Electric Energy Data Acquisition System in China
Authors: Chen Qi , Zhao Zhuan She , Li Jie
Published: December 2012

Electric Energy Data Acquisition System (EEDAS) is not only the critical basic system of the intelligent electric consumption service area, but an important part of building a unified and intelligent grid. Its technical advancement will directly relate to the energy efficiency and cost effectiveness of smart grid. This paper introduces the framework and functions of EEDAS, presents the differences between EEDAS and AMI, analyzes the current situation and obtained effectiveness in State Grid Company of China and prospects the development trend of EEDAS in the future.
The Application of Wavelet Transform in Image Dispose
Authors: Ren Rui , Zhou Xun , Han Ju , Xing Si Ming
Published: December 2012

The features of wavelet transform is firstly introduced in this paper, then the directional wavelet is introduced to pick up image characteristic, finally, the experimental results of directional wavelet used in characteristic identification of character-figure is given, it proves this characteristics puck-up method has good local direction characteristics, this function make it has good identification capacity for typical noise of character: stroke missed, stroke break, mechanism twitter, stroke conglutination, so it very useful for character identification.
A Simulation Method for Memristor Based Dopant Drift Model
Authors: Diao Jie Tao , Tian Xiao Bo
Published: December 2012

Memristor is a kind of circuit element with nano scale, its appearance may radically change the traditional circuit. Recently, dopant drift model is a hot issue in research works connected to memristor. However, because of lack of transparency in the process of simulation, simulation method on dopant drift model of memristor needs to be strengthened. Dopant drift model was analyzed, circuit characteristics and relations between different circuit variables were studied. Based on those works above, a kind of numerical simulation method was designed to simulate and validate the memristor model. Simulation results show that the method designed accurately expresses conducting behaviour of memristor physical model, which provides a new feasible way for simulations of memristor model.
An Efficient Real-Time Filtering Approach for Image Processing of Digital Subtraction Angiography
Authors: Hong Zhu
Published: December 2012

Digital subtraction angiograph system is widely used in the angiograph examinations. Its primitive images cannot be used directly by doctors because of their considerable noises. The human’s brain blood vessels usually squirm slowly, so there is much more correlativity between two adjacent frame images, and they can be described as low frequency signals. A low-pass self-adaptive recursive filter is designed to eliminate the noises of DSA images, of which the filtering factor attenuates exponentially with the differences of two adjacent frames. A practical DSA image processing system is designed with a Field Programmable Gate Array, including the image sampler, analog to digital converter, filter, and display device. The system has been successfully applied in hospitals, and it can meet the clinical needs.
Methods of Dynamic Tire Pressure Judgment Based on Image Processing
Authors: Chen Rong Bao , Zhang Jun Jie , Xiao Hua Feng , Meng Fang Hui
Published: December 2012

When car is in the process of high-speed, the faults caused by tire pressure anomalies are the most worried and difficult to prevent for all drivers. It is one of the important reasons for the sudden traffic accidents. Tire pressure related to ride comfort, fuel consumption, tire wear and vehicle safety, so tire pressure’s monitoring has been one of the important research directions in the safe driving of vehicle. The anomalies of tire pressure made the vehicles appear to tilt and shorten the distance between rim centres and the ground. Using image technology can detect intuitively and fast. This paper measures the dynamic tire pressure based on image processing technology. The vehicles tires goal was extracted by three image differences. After morphological processing, it used three methods to make comprehensive analysis and judgement of whether the tire pressure is normal, to realize the automation and intelligence. This method had realized real-time non-contact detection for dynamic tire pressure, which has extended significance to popularize.
A Non-Contact Finger Vein Image Quality Assessment Method
Authors: Ma Hui , Cui Feng Peng , Oluwatoyin P Popoola
Published: December 2012

A finger vein image quality assessment method is based on both the human visual characteristics and finger vein image characteristics captured by the use of contactless and near infrared rays. We present an HSNR (signal to Noise ratio based on human visual system) finger vein image quality evaluation index by simulating the human visual system, and integrating the HSNR with effective area score, finger shifting score and contrast score to obtain the total image quality score of the finger vein image. Experimental results demonstrate that the proposed method is consistent with subjective assessment by humans, and thus can be used to describe the visual perception of the image effectively.
Improved SNR Estimation Technique for BPSK and QPSK Signals
Authors: Liu Guang Zu , Wang Jian Xin
Published: December 2012

To improve the estimation accuracy of non-data-aided (NDA) signal-to-noise ratio (SNR) estimators at low SNR value, A novel estimation technique for binary phase-shift keying and quadrature phase-shift keying signals in complex additive white Gaussian noise channel is proposed. The mathematical relation between SNR and the ratio of two simple statistical computations is derived, then SNR is determined by looking up a table. Its accuracy surpasses other NDA estimators, approaching closely to the Cramer-Rao lower bound at SNR > 5dB.
The Design and Simulation of the Array Induction Logging Tools’ Signal Conditioning Circuit
Authors: Hu Yao , Hu Hong Lu , Huang Ding Jin
Published: December 2012

Array induction logging tools (AILT) detects the stratum conductivity based on the principle of electromagnetic induction, as a result, the signal of the amplitude using the AILT is in microvolt level. The small-signal is always drowned by noise at high-temperature and high-pressure condition. In order to collect the weak signal accurately, we propose a design method of signal modulator circuits based on the principle of differential amplifier and active band-pass filter with second band limitless gain and multi-path negative feedback. First, make the induction signal obtained from the coil two stages amplification. Then Execute two-order band-pass filter to the enlarged signal. At last, process the filtered signal by the backward circuits. Simulating the circuits by Pspice16.3, The result of simulation indicated that the gain relative error of preamplifier is less than 1% and the center frequency relative error of band filter is less than 4%. These data suggest that the relative error of the design circuits is less than routine instrument by 5%. So the Simulation verifies the feasibility of the signal modulator circuit.
A Novel Localization Scheme for Underwater 3D Acoustic Sensor Network
Authors: Zhou Qi Ming , Zhu Bin
Published: December 2012

The localization of Underwater Sensor Networks(UWSNs) faces great challenges with the special underwater environment. In this page, the depth information is considered to use for localization. A novel localization scheme named U-iTPS is designed for UWSNs. Nodes do not rely on special hardware or time synchronization and depend on time difference of arrival (TDoA) signals measured locally to detect range differences from themselves to four anchors and then locate themselves in U-iTPS. U-iTPS is energy conservation because it does not rely on the node degree and the number of anchors, in which the node does not need communication each other and only listen to the beacon packets. After intensive experiment and theoretical analysis, U-iTPS show better performance such as low storage, computation and communication with other schemes, and also show good robustness in the underwater environment.
Research on Realization Methods of Gaussian System
Authors: Xu Lian Hu , Yuan Yi Bao , Piao Wei Ying
Published: December 2012

The approximate realization methods of system with Gaussian characteristics for inductive micro-displacement sensors were studied in this paper. It was assumed that the sensors used were the first-order systems, for such sensors, it was first proved that cascaded systems formed by an infinite number of first-order systems, its characteristics will infinitely approximate to be those of the Gaussian system. In other words, the cascaded system of a finite number of the first-order systems which have the same characteristics is a Gaussian approximation system. This law can also be applied to the second-order systems, and to the first-order and second-order mixed systems. Theoretical analysis shows that the maximum deviation of Gaussian approximation that 16 cascaded first-order systems is 1.4%, and the maximum deviation of the Gaussian approximation that 16 cascaded second-order systems is 0.1%. This law provided a theoretical guidance for the design of the Gaussian system, which makes the application of the Gaussian system for the geometric multi-probe measurement system to be easy and possible.
Application of Synchronization Control Method to Zagzag System
Authors: Li Yin , Zheng Chun Long
Published: December 2012

In this paper, synchronization control method of Zagzag system is discussed both theoretically and numerically. Based on the Lyapunov stability theorem and the chaotic methods, synchronization control is given and illustrated with Zagzag system as example. Numerical simulations are presented to demonstrate the effectiveness of the proposed synchronization scheme.
Design and Implement of Automatic Control System of the Campus Ringer
Authors: Fang Gui Sheng
Published: December 2012

According to the control requirements of campus ringers, a PLC-based automatic control system is realized by using the real time clock function provided by S7-200 CPU224 PLC and the friendly human-computer interaction function provided by TD400 text display. The control system can automatically judge the ringing work mode by the current system time of PLC, that is the summer time ringing mode and the winter time ringing mode. The user can also choose other work modes, such as the college English test mode and the computer grade test mode by pushing the button of the text display. In this paper the composition of the control system, the working principle and the designs of hardware and software are introduced. The system has advantages of friendly interface, simple operation, convenient maintenance, high reliability, strong anti interference ability, which makes it popularize.
Test Points Optimal Design for Hydraulic System MSIF Fault Diagnosis
Authors: Zhu Han Qing , Ma Zhen Shu , Sun Hua Gong
Published: December 2012

An intelligent method based on multi-sensor information fusion is put forward to resolve the problem lay in hydraulic system fault diagnosis. Determining how to choose sensors used for information acquisition is the main objective. Test signal directed graph and dependency matrix model are established to realize optimal design oriented by the maximum failure information entropy.
Direct Adaptive Fuzzy Predictive Control and its Application to CSTR Process
Authors: Su Cheng Li , Lina Ma , Li Ping
Published: December 2012

In order to obtain accurate prediction model and avoid solving nonlinear programming problem, a direct adaptive predictive control (DAPC) method is proposed. Firstly, a nonlinear system was described based on Takagi-Sugeno (T-S) fuzzy models. Assuming that that the antecedent parameters of T-S models were kept, the consequent parameters were identified on-line by using the weighted recursive least square (WRLS) method. Secondly, the identified parameters of fuzzy model were used to directly receive the model predicted output with direct iterative for the T-S model. Finally, the application results for continuous stirred tank reactor (CSTR) process show that the proposed algorithm is an effective control strategy with excellent tracing ability. The proposed algorithm is a good way to resolve the two major problems, modeling and optimization, and provides a guarantee for high-precision control of nonlinear systems.