bluuebunny/crossref_metadata_2025 huggingface dataset:
Signal Flow Graph Synthetical Implement the Current-Mode Multifunction Filter Based on CDTA
Authors: He Hai Zhen , Kuang Jun , Liu Xin , Huang Xin Hang , Cao Mei Li
Published: February 2014

In this paper, a signal flow graph structure of current-mode multifunction filter using current differencing transconductance amplifier (CDTA) is presented. The proposed configuration is comprised of two grounded capacitors and four CDTAs. They exhibit low-input and high-output impedances, which is very convenient for integrated circuit implementation. The presented filter configuration can realize all the standard filter functions simultaneously, lowpass (LP), bandpass (BP), highpass (HP), bandstop (BS) and allpass (AP), without any component matching conditions. The natural frequency () and the bandwidth () of the proposed filter can be electronically tuned by varying the bias current of the CDTA. PSPICE simulation results are included to confirm the theory.
A Novel Integration Method with Stabilizing Voltage and Frequency, UPS, Intelligent Charging for Mobile Power Supply
Authors: Wang Yi Fei , Yuan You Xin , Yuan Liang , Kuang Ping , Chen Jing
Published: February 2014

A novel integration method with stabilizing voltage and frequency, UPS, intelligent charging for mobile power supply has been proposed in this paper. Process of the advanced method can be divided into four steps, including the generating electricity, outputting stabilizing voltage and frequency, UPS, intelligent charging. The following works have been done in the study: the principle of the integration method, the topological structure of integration system, the Implementation of the integration method. According to the principle of the integrated method, the integrated system can be developed. The system can be realized functions, such as the generating electricity, outputting stabilizing voltage and frequency, UPS, intelligent charging and so on. By the system, the high precision voltage amplitude and frequency is supply to outdoor load, and the UPS state is maintained.
Design and Implementation of HART Physical Layer for Smart Transmitters
Authors: Hu Feng Zhong , Chen Guang Lei
Published: February 2014

In smart transmitters with HART protocol, the HART physical layer implementation is critical for reliable communication. For the existing smart pressure transmitter circuit is complex and unstable, this paper designed a simple and reliable circuit in accordance with HART physical layer specifications. The design uses AD421 and AD5700-1 constitute a 4-to-20mA loop-powered smart transmitter circuit, is fully compatible with standard HART or other similar FSK protocols. The smart transmitter using this circuit has passed the HART certification by HART communication foundation. This implementation can be applied to other smart transmitters.
Study on Improvement of Goods Location by Comprehensive Consideration of Product from Various Dimensions
Authors: Zhang Xu Feng , Wu Zi Min , Deng Qiu Chao
Published: February 2014

According to the application of ABC classification in goods location layout, this paper deals with its expansion and optimization. By using the coordinate curve and matrix model, we comprehensively consider the storage capacity, the output frequency, the characteristics of the product and the other dimensions, thus building a model of scientific distribution of stock on the basis of products characteristics, finally formed an improved classification of multidimensional variable combination. This improved classification plays an active role in increasing the efficiency of capacity utilization, decreasing the storage time, improving the use of inventory facility, it is suitable for all kinds of warehouse.
Thoughts on the Construction of Cold Chain Logistics In-Car Networking System
Authors: Zhang Xu Feng , Wu Zi Min , Li Xiao Jing
Published: February 2014

As powerful guarantee for food quality, cold chain logistics has received world-wide concern and is considerably potential for China market. It is highly remarked for its high cost as well as requirement. In this paper we mainly discussed the construction method of intelligent transportation system of cold chain logistics. We introduced the concept of in-car networking to the cold chain logistics industry and explained the construction methods of cold chain logistics in-car networking from information acquirement, information transmission and information platform, providing ideas and innovation point for the construction of cold chain logistics intelligent transportation system.
Study of Improvement of Measurement Precision for Roundness Measuring Instrument
Authors: Song Kang , Liao Jun Bi , Lin Chang Qing , Cao Xue Dong , Yu Yang , Ji Rui
Published: February 2014

Based on the requirement of small errors in measuring roundness (cylindricity) error, a leveling methodology which using a dual-point vertical layout has been put forward and analyzed. According to the direction cosine of the axis of workpiece, the amount of leveling has been defined and calculated, which overcomes the problem brought by manual adjustment technology and forms theoretical bases of fast, accurate leveling and high precise measurement. The assessment of roundness (cylindricity) error is to search for a center (cylinder axis) which satisfies the minimum condition. Due to the reliance of initial solutions and relative slowness in terms of convergence precision and convergence rate when using Nelder-Mead simplex method, a combinative method of Quasi-Newton and N-M simplex method has been proposed which achieves a fast, accurate search for global optimums. With the proof of the simulation of classical testing functions using Matlab and the measured data, the convergence rate and precision will be enhanced effectively has been certified with the combination of both methods mentioned above which ensuring and improving the measuring precision of workpiece.
Study on Mixed-Measurement of Zero-Sequence Parameters of Two Parallel Coupled Transmission Lines
Authors: Huo Xiao Di , Liang Zhi Rui
Published: February 2014

Based on WAMS technology and the demand of real projects, a method of mixed measurement of zero-sequence parameters for two parallel coupled transmission lines is proposed. The principles and specific methods of mixed measurement mainly based on the incremental method are explained in details.The mathematical model is given and a digital simulation of coupled transmission lines with different zero-sequence parameters is conducted to verify the method.
Colorimetric Temperature Measurement Algorithm Based on Multi-Sensor Data Fusion
Authors: Meng Fan Wei , Tian Qing , Yang You Liang
Published: February 2014

Wavelength and other factors have a deep influence on temperature measurement system based on CCD image sensor. Deviations between measurement values sometimes are large. In order to reduce error, the temperature outputs in different wavelength combinations do have multi-sensor correlation properties in point of colorimetric temperature measurement system view. The colorimetric temperature measurement algorithm based on real-time adaptive weighted is put forward by such performance index that minimum of standard deviation. According to measured value of each sensor, we will find out the corresponding weights in adaptive manner. And discuss the statistical properties of the estimated standard deviation. Estimation unbiasedness is proved. The algorithm has the following advantages .A much smaller amount of calculation, without any a priori knowledge, only relying on the output of each sensor. All of these make temperature estimation be optimal, measurement accuracy and the real-time performance of the system are improved. Theoretical analysis and experimental results show that the colorimetric temperature measurement algorithm based on the real-time adaptive weighted improves obviously when comparing with the traditional means algorithm in measurement accuracy.
Air Bubble Size Measurement in a Laboratory Flotation Cell
Authors: Xie Xiao Feng , Li Rong Gang
Published: February 2014

Air bubble size distribution in a laboratory flotation cell was investigated by using of image analysis technology in this paper. Results showed that it was feasible to determine the air bubble size according to image analysis software. For a porous media-aerated flotation cell, bubble size was dependent on poles size of porous media. Furthermore, operating parameters of the cell could affect the size. Mean bubble diameters increased with increasing of air flow rate. In contrast, it decreased when adding deinking agent. Its decreasing with increasing pulp flow rate under given conditions illustrated the fact that proper turbulence strength at the inlet of air bubbles was favorable for reducing bubble size. Gas holdup increased with increasing air flow rate to some extent, but it had a peak value. Gas holdup would rise obviously when deinking agent existed. An efficient approach to enhancing bubble surface area flux was to increase air flow rate and keep small bubble size at the same time.
Comprehensive Test Method for Optical Performance of X-Ray Scintillation Crystals
Authors: Han Yue Ping , Li Rui Hong
Published: February 2014

One photoelectrical test method and system were optimal developed for messuring the optical performances of some scintillation crystals. The theoretical Critical Focal Length of the measurement system is firstly deduced and used in order to make the most of both X-ray photons and the effective area of the scintillation crystal panel. Furthermore, coaxial cable ordered is used to replace the carried wire to weaken power noise. Finally, a low-pass filter with 35Hz upper limit cut-off frequency is designed to reduce spike interference of high-frequency noise. Experiments are successfully done to comprehensive test the spectral response, conversion efficiency and spatial resolution of some scintillators, and the results show that the presented system in this paper is helpful to test the scintillator properties.
Automatic Evaluation of Plus Disease in Retinopathy of Prematurity
Authors: Turior Rashmi , Uyyanonvara Bunyarit , Chutinantvarodom Pornthep
Published: February 2014

Abnormal dilation and tortuosity of retinal blood vessels are the primary signs of plus disease in retinopathy of prematurity. Timely prognosis could help reduce the delay in treatment and the risk of retinal detachment. Our objectives is to determine whether tortuosity and dilation sufficient for plus disease could be assessed most accurately by considering only arterioles, venules, or both. Tortuosity estimation and width measurement is done using previously proposed methods. Image preprocessing is applied before the two features namely, tortuosity and width of blood vessels are estimated to supply as input parameters for classification using K-means clustering technique. The results are validated by comparing with expert ophthalmologists ground truths. Performance is evaluated based on measures as sensitivity, specificity, predictive values and accuracy. The sensitivity, specificity, positive predictive value, negative predictive value and accuracy values obtained when considering both the arteriolar tortuosity and venous dilation are 85.86%, 90.74%, 88.76%, 88.28% and 88.50% respectively.
Design and Implementation of Middleware for Wireless Sensor Networks
Authors: Dong Biao
Published: February 2014

Middleware supports programming abstract which facilitate the programmer task and bridge the gap between the application and the hardware. Middleware for wireless sensor networks (WSNs) can help bridge the gap and remove impediments. This paper designs GWSN, a middleware WSNs, whose architecture is composed of runtime support, application development kits, and software development kits. Runtime support in GWSN is the core of WSNs middleware and supports executing and maintenance of WSNs applications. Application development kits includes many basic function kits, such as display editor, rule editor, and workflow editor, which support the application development of WSNs. Software development kits provides easy-to-use application programming interface.
Design of Ammonia Nitrogen Sensor Based on LED and Photomultiplier
Authors: Zhao De An , Lu Guang Yu
Published: February 2014

This paper based on the principle of ammonia nitrogen is sensitive to the light which wavelength is 664nm, that is to say, there are, in statistic sense, significant linear relationships between these two parameters, design an ammonia nitrogen sensor based on LED and photomultiplier which is a new method for fast and simple Ammonia nitrogen detection.
The Data Processing and the Related Software Development of the Active Magnetic Measuring Instrument
Authors: Cao Xiang Feng , Guan Zhi Chuan , Ma Feng Qing , Xu Yun Long
Published: February 2014

Magnetic guidance drilling technology is use of magnetic guidance instrument measuring the distance between the signal source and the location of the instrument, and it is used to control the well trajectory to connect or parallel the target layer. And it is an effective supplement of the existing steering drilling technology. At present, the magnetic guidance drilling technology is mainly applied to drill horizontal wells in pairs for the super heavy recovery, CBM horizontal connected wells, underground soluble minerals, relief well and so on. This paper introduces the data processing and the related software development of the active magnetic measuring instrument.
Portable Pressure Test System for Brake of Rail Transit
Authors: Cui Sen Jie , Yang Chang Qi
Published: February 2014

This paper designs a pressure signal acquisition device for brake of rail transit, and establish a framework for the pressure signal test system based on the Single Chip Micyoco (SCM for short) C8051F350. It gives a brief introduction of the whole process for the test system, and emphatically analysis the part of the pressure sensors, the power source, the display and the communication. Lastly, we adjust the factor of the whole test system and assemble the system to test the pressure portably.
A Rolling Bear Fault Diagnosis Method Based on Improved LMD and Order Analysis
Authors: Yuan Hui Juan , Qi Jia , Li Hong Mei , Li Jun Zhong , Jiang Xue , Fu Jian
Published: February 2014

This document explains and demonstrates how to predict the fault point of rolling bear. Rolling bearing vibration signals are decomposed by the LMD method to get several single components including amplitude modulation and frequency modulation signals. Combing the order analysis method can get the fault point of rolling bear.
Magnetic Guidance Drilling Technology
Authors: Cao Xiang Feng , Guan Zhi Chuan , Han Lai Ju , Feng Guang Tong , Liu Qing Long
Published: February 2014

Magnetic guidance drilling technology is use of magnetic guidance instrument measuring the distance between the signal source and the location of the instrument, and it is used to control the well trajectory to connect or parallel the target layer. And it is an effective supplement of the existing steering drilling technology. At present, the magnetic guidance drilling technology is mainly applied to drill horizontal wells in pairs for the super heavy recovery, CBM horizontal connected wells, underground soluble minerals, relief well and so on. This paper introduces the magnetic guidance drilling technology.
Modal Experiment and Analysis of a Self-Anchored Suspension Bridge
Authors: Yang Jian Rong , Su He Xian , Lai Zheng Chong
Published: February 2014

Modal experiment and 3D finite element analysis are performed on a newly-built self-anchored suspension bridge. The structural modal parameters are identified under ambient vibration excitation. Before that, a 3D finite element model of the bridge is generated using a commercially available finite element package. The measured data as well as the calculated are compared carefully. It illustrates that both of them are in reasonable concordance. The natural frequency of the actual structure is relatively higher than that of finite element model which means the actual bridge is much stiffer than its original design model.
Study of Brain Computer Aided Diagnostic System Based on CT Image
Authors: Yuan Shuai , Zhang Guo Yun , Wu Jian Hui , Guo Long Yuan
Published: February 2014

Brain computer aided diagnostic system based on CT image has been widely applied for medical clinical field, which studies image preprocessing, feature extraction and image classification diagnosis based on digital image processing technology. This paper presents system design and realization of aided diagnostic technology for brain CT image. The dynamic grey level range of CT image is extended by adopting segmental linear stretching method at first. Then textural features of CT image are extracted based on GLCM (grey level concurrence matrix). BP neural network algorithm is used to design a classifier for textural features vector of CT image at last, which identifies normal and abnormal brain CT image. Test result shows that the method presented has good accuracy, quick speed and strong robustness for realtime application.
A Long Cylindrical Optical Fiber Sensor Based on Multiple Total Internal Reflections in Heterodyne Interferometry
Authors: Wang Shinn Fwu , Wang Ming Jen , Chiu Jyh Shyan
Published: February 2014

In this paper, a long cylindrical multimode optical fiber sensor (OFS) based on multiple total internal reflections in heterodyne interferometry is proposed. The cladding of the sensing portions of the fiber sensors is removed, but dont be coated with any metal films. With the OFS the phase shift difference due to the multiple total internal reflections (MTIRs) effect between the p-and s-polarizations can be measured by using the heterodyne interferometry. Substituting the phase shift difference into Fresnels equations, the refractive index for the tested medium can be calculated. According to numerical simulations and experimental results, the long cylindrical OFS is with the best resolution of 0.0000028 refractive index unit (RIU). However, the OFS could be valuable for chemical, biological and biochemical sensing. It has some merits, such as, high sensitivity, high resolution, stability, small size and in real-time measurement.
A One-Stop Method for EMI Analysis Based on Wavelet Packet and SOM
Authors: Li Hong Yi , Yang Yuan , Zhao Di
Published: February 2014

The analysis of electromagnetic interferences (EMI) has been a heated problem in the field of Electromagnetic Compatibility (EMC). As the demand of efficiency and effectiveness is getting higher, the traditional methods have become the short board in analysis process. These methods havent provided a solution to analyze the relation among multiple EMI signals, and the data clustering and mining are currently done manually. To address this problem, in this paper we propose a one-stop method based on the wavelet packet decomposition (WPD) and self-organized feature map (SOM), aiming to provide a systematical and solution to extract and analyze multiple EMI signals. Experimental results are also provided to demonstrate the validity and efficiency of the proposed method.
Investigation on the Thermal Radiation Distribution of Oil Tank Fires
Authors: Li Shan Shan , Sun Jian Gang , Wang Zhen , Cui Li Fu
Published: February 2014

A thermal radiation monitoring system was established to measure the thermal radiation distribution of the crude oil tank fires, and the effect of open area, horizontal and vertical distance on the radiant heat flux was analyzed. The experimental results are compared with the calculated values by the point source model. It shows that the point source model have a high accuracy to calculate the radiant heat flux of the crude oil tank fire when the distance between the target point and the flame center is larger than the diameter of the tank.
A Hybrid Intelligent Algorithm for Fuzzy Programming Problem under Credibility Theory
Authors: He Qi Fang , Wang Tie Zhu , Zhu Jing Yao , Wang Zu Tong
Published: February 2014

Based on the credibility theory, this paper is devoted to the fuzzy programming problem. The expected-value model of fuzzy programming problem is provided under credibility theory. For solving the fuzzy programming problem efficiently, Latin Hypercube Sampling, fuzzy simulation, Support Vector Machine and Artificial Bee Colony algorithm are integrated to build a hybrid intelligent algorithm. The proposed method has excellent consistency and efficiency in solving fuzzy programming problem, and is particularly useful for expensive systems.
Frequency Response of Longitudinal Magnetoelectric Effect in Piezoelectric-Magnetostrictive Clamping Structure Coupled through Normal Stress
Authors: Li Xiang Yang , Liu Jing
Published: February 2014

Magnetoelectric (ME) materials have attracted continuous attention due to their potential applications in the fields of sensors, actuators, and transducers. A large ME coupling originated from a clamping structure was reported. ME coefficient of 0.95V cm1Oe1was obtained without amplifier at the planar acoustic frequency 60 KHz. The results show that large ME coupling can be obtained in the clamping structure through normal stress, and longitudinal ME effect could be better than transverse ME effect.
A New Approach for Gray Image Segmentation Using Level Set Method
Authors: Li Lai Zhen , Han Shuai , Wang Wen Ming , Tan Hu , Zhou Qiang
Published: February 2014

The techniques and the processes to divide the image into several parts which have different features and to pick up foreground are called image segmentation. In this work, we propose a new approach for gray scale image segmentation based on level set method. At first, every pixel on the image is divided into either similar-property class or dissimilar-property class based on the variance of a small area centered at the pixel. Then, the velocity of curve evolution for these two classes is defined respectively. It is determined by a value called the dissimilarity of the area. Experimental results show that this approach can obtain good segmentation results of artificial images and real medical images fast and accurately.
An Image Fusion Method Based on Shearlet and Multi-Decision
Authors: Wang Yong
Published: February 2014

Image processing is the basis of computer vision. Aiming at some problems existed in the traditional image fusion algorithm, a novel algorithm based on shearlet and multi-decision is proposed. At first we discussed multi-focus image fusion and then we use Shearlet transform and multi-decision for image decomposition high-frequency coefficients. Finally, the fused image is obtained through inverse Shearlet transform. Experimental results show that comparing with traditional image fusion algorithms, the proposed approach retains image detail and more clarity.
Detection Algorithm of Semantic Inconsistency for Fuzzy Ontology Merging
Authors: Luo Yong Hong , Liu Wei Ming
Published: February 2014

Fuzzy ontology can be built to effectively deal with uncertainty and ambiguity for domain knowledge modeling. Merging multiple fuzzy local ontologies may implement semantic integration of multiple data sources and semantic interoperability between heterogeneous systems in distributed environment. In order to solve the problem of semantic inconsistency mappings for fuzzy ontology merging system, we proposed a detection algorithm of semantic inconsistency mapping which includes sub detection methods of circular semantic inconsistency, subclass-of axiom redundancy semantic inconsistency, attribute membership semantic inconsistency and disjoint axioms redundancy semantic inconsistency. With the detection algorithm of semantic inconsistency, we establish fuzzy ontology merging system in experiment.
Joint Multiple Visual Constraints for High Speed Video Stitching
Authors: Li Jing , Yang Tao , Lu Zhao Yang
Published: February 2014

A major concern in aerial video surveillance today is to improve the processing speed continuously. This work introduces a joint visual constraints method for high speed aerial video stitching. To obtain real-time and accurate performance, we first select the compact and efficient ORB (Oriented FAST and Rotated BRIEF) for fast local feature description and matching, and then adopt the dynamic key frame based video stitching framework to reduce the accumulation errors. To further achieve high speed performance, we improve the above framework by fusing spatial and temporal constraints of ORB keypoints during online stitching, and increase the processing speed to 150 fps successfully. The results with public available UAV datasets demonstrate the superiority of joint constraints.
PCA-ANFIS Based Prediction for Water Injection Effectiveness Cycle in Oil Fields
Authors: Tian Ya Juan , Liu Ye , Cheng Guo Jian , Wang Zhe
Published: February 2014

By proposing a numerical based method on PCA-ANFIS(Adaptive Neuro-Fuzzy Inference System), this paper is focusing on solving the problem of uncertain cycle of water injection in the oilfield. As the dimension of original data is reduced by PCA, ANFIS can be applied for training and testing the new data proposed by this paper. The correctness of PCA-ANFIS models are verified by the injection statistics data collected from 116 wells inside an oilfield, the average absolute error of testing is 1.80 months. With comparison by non-PCA based models which average error is 4.33 months largely ahead of PCA-ANFIS based models, it shows that the testing accuracy has been greatly enhanced by our approach. With the conclusion of the above testing, the PCA-ANFIS method is robust in predicting the effectiveness cycle of water injection which helps oilfield developers to design the water injection scheme.
Randomness Evaluation for Scrambled Image Using Intersecting Cortical Model Neural Network
Authors: Zhao Jing Jing , Xu Guang Zhu , Lei Bang Jun , Li Chun Lin
Published: February 2014

A bio-inspired visual neural network named ICMNN was adopted to extract image structural information for image scrambling evaluation. In order to describe image structure more effectively with ICMNN, image bitmap was introduced into ICMNN input field. First, the original image was decomposed into eight binary images and each was scrambled with Arnold transformation without loss of generality. Then, ICMNN was adopted to extract the structural feature sequence of bitmap images and their corresponding scrambled ones. Last, L1 norm of the structure change sequence between them was calculated to evaluate the scrambling degree of the scrambling images. Results show that combining image bitmap decomposition with ICMNN can effectively evaluate image scrambling degree and describe the change of the structure information, which agrees with human visual perception. This evaluation algorithm is also independent of the scrambling algorithm and has a good versatility.
The Economic Life Assessment of Transformer Based on Random Fuzzy Theory
Authors: Zheng Xue Bing , Li Ran
Published: February 2014

According to the Life Cycle Cost theory, the paper sets up the Life Cycle Cost model of the transformer that covers initial investment cost, operation cost, failure cost and retirement cost, and puts forward a new concept of economic life, determining the economic life of transformer through comparing the annual net profit of the old transformer with the largest annual net profit of the new transformer. As the transformer serves for a long time and the running environment is complicated, parameters, which are required for in evaluation, are both random and fuzzy. Then, introduce random and fuzzy theory that can handle the uncertainties at the same time to assess the economic life of the transformer. This model not only can get the expectancy of economic life of the transformer, but also can get the economic life interval under different confidence level and the economic life interval whose chance measure is the biggest under the same economic life span. Finally, take the assessed transformer as a example to verify the rationality and validity of the model.
Using LBP to Improve PCNN Performance for Texture Image Retrieval
Authors: Xu Guang Zhu , Lei Bang Jun , Zhao Jing Jing , Li Chun Lin
Published: February 2014

Local binary pattern (LBP) spectrum is a powerful feature for texture image, which is invariant to local illumination changes. Pulse coupled neural network (PCNN) is a biologically inspired algorithm, which is well suited for image processing and can generate rotation, scale, translation invariant image signature. This paper proposed an image retrieval tool named LBP-PCNN which combined the advantages of LBP and PCNN. First, images are mapped into local structural domain with rotation invariant LBP. Then, the simplified PCNN was adapted to extract the image signature in structural domain. At last, texture image retrieval was completed by measuring the signature similarity of input sample texture image and texture database. Experimental results on Brodatz texture gallery show that LBP-PCNN overbears LBP and PCNN in texture image retrieval and has potential applications.
Research on the Methods of Identifying Key Node Based on Classical Networks
Authors: Wang Song Hua
Published: February 2014

Identifying the most important node is a research hotspot in complex networks. For different types of network there are different methods to cope with. In this paper, we use five methods: degree method, betweenness method, node contraction method, node importance evaluation matrix method, K-shell decomposition method to identify the key node and compare the effects through SIR propagation model. In the simulation experiments, we use three artificial networks: random network (ER), small-world network (NW) and scale-free network (BA). The experimental results show that the nodes identified by node importance evaluation matrix method and K-shell method are more important. Besides, in BA the infection velocity is faster and the infection scale is larger than in ER and NW.
Multiobjective Travelling Salesman Problem under Stochastic Environment
Authors: He Qi Fang , Wang Tie Zhu , Pan Lu , Wang Zu Tong
Published: February 2014

Travelling salesman problem is a fundamental combinatorial optimization model studied in the operations research community, and yet, there is surprisingly little literature that addresses stochastic uncertainties and multiple objectives in it simultaneously. This paper is devoted to a novel TSP variation called stochastic multiobjective TSP (SMOTSP) with random variables on the arc, and a new solution approach is proposed to obtain Pareto efficient route in it, whose validity is proved finally.
Study on PCA-Based BP Neural Network Algorithm
Authors: Hong Jian Qing , Zhao De'an , Jia Wei Kuan
Published: February 2014

Using the neural network to deal with complex data, because the pending sample with many variables, aiming at this nature of the pending sample and the structure properties of the BP neural network, in this paper, we propose the new BP neural network algorithm base on principal component analysis (PCA-BP algorithm). The new algorithm through PCA dimension reduction for complex data, got the low-dimensional data as the BP neural networks input, it will be beneficial to design the hidden layer of neural network, save a lot of storage space and computing time, and conductive to the convergence of the neural network. In order to verify the validity of the new algorithm, compared with the traditional BP algorithm, through the case analysis, the result show that the new algorithm improve the efficiency and recognition precise, worthy of further promotion.
A Composite Kernel for Word Sense Disambiguation
Authors: Wang Ting Hua , Zhu Wen Sheng , Zhang Qiong , Xie Hai Hui
Published: February 2014

The success of supervised learning approaches to word sensed disambiguation (WSD) is largely dependent on the representation of the context in which an ambiguous word occurs. In practice, different kernel functions can be designed according to different representations since kernels can be well defined on general types of data, such as vectors, sequences, trees, as well as graphs. In this paper, we present a composite kernel, which is a linear combination of two types of kernels, i.e., bag of words (BOW) kernel and sequence kernel, for WSD. The benefit of kernel combination is that it allows to integrate heterogeneous sources of information in a simple and effective way. Empirical evaluation shows that the composite kernel can consistently improve the performance of WSD.
Distribution Transformer Residual Life Prediction Based on the Theory of Markov
Authors: Zhong Chao , Li Ran
Published: February 2014

It has been an important subject that how to apply transformer condition information efficiently and scientifically to judge the transformers state and predict the remaining life. This paper, in view of the distribution transformer test information, analyzed the factors affecting its residual life evaluation, and established the evaluation model of distribution transformer. Based on the existing research results and the introduction of improved Markov prediction method, it finally established a dynamic variable metric improved Markov distribution transformer life prediction model. Actual data verified the effectiveness and reasonability of the model.
The Study of Three-Dimensional Micro-Motion Feature Extraction of Ballistic Target Based on Netted Radar
Authors: Zhang Dong , Feng Cun Qian , Tong Ning Ning , He Si San , Lei Teng
Published: February 2014

To solve the problem of sliding-type scattering center and the problem of angle limitation of single radar, a kind of method for extracting three-dimensional micro-motion characteristics of ballistic target based on netted radars was proposed. Firstly, A new feature extraction method based on half period delay multiplication was introduced which establishes the relationship of sliding-type scattering center and ideal scattering center, then making use of the expand hough transformation, the parameters of echo signals were extracted. At last, the three-dimensional micro-motion features and the structure features were obtained by solving nonlinear multivariable equation systems which were established by the multi-view of netted radar. Simulation validated the method can get both the high estimating precision and the three-dimensional micro-motion parameters.
Study of Remote Sensing Image Registration System
Authors: Yuan Shuai , Zhang Guo Yun , Wu Jian Hui , Guo Long Yuan
Published: February 2014

Remote sensing image registration system has been widely applied for agriculture, forestry, geology, ocean, meteorology, hydrology and military field, which studies image correction, enhancement and registration based on digital image processing technology. This paper presents system design and realization of registration technology for remote sensing image. Remote sensing image has geometric distortion and needs digital correction by adopting polynomial method at first. Then five kinds of technology are offered to enhance the contrast of remote sensing image including histogram enhancement, grey level transformation enhancement, image smoothing, image sharpening and pseudo color enhancement. Image geometric registration algorithm is carried out to fuse images of the same area acquired at different times on different wave band at last. Test result shows that the method presented has good accuracy and quick speed for realtime application.
Quality Assessment of ECG Signal Based on Wavelet Energy Ratio and Wavelet Energy Entropy
Authors: Zhang Ai Hua , Kou Ming Chun , Diao Chen , Lin Dong Mei
Published: February 2014

ECG signal is affected by many factors such as noise and interference in the process of acquisition, which make it difficult for clinicians to interpret the ECG signal precisely and effectively. In order to detect whether an ECG signal is worthy to be interpreted by clinicians, an algorithm was proposed to assess the quality of ECG signal based on wavelet energy ratio and wavelet energy entropy. After wavelet decomposition, the ECG signals wavelet energy ratio and wavelet energy entropy were calculated in three different frequency bands, and we defined them as the quality indices to evaluate the quality of ECG signal. Experimental results show that we can achieve an accuracyof 95.2%.
Comparison between Several Regression Models
Authors: Yin Xiao Cui
Published: February 2014

This paper study ordinary linear regression and ridge regression, ridge regression includes ordinary ridge regression (ORR) and generalized ridge regression (GRR). Comparison between these methods are made by an example, the results show that ridge regression has smaller standard deviation and MSE than OLS, and among all the methods, GRR is better than others.
The Influence of Training Step on Price Forecasting Based on Least Squares Support Vector Machine
Authors: Rong Sheng Ji , Pan Lu , Huang Xin Xia , Ding Jin , Zhu Quan Yin
Published: February 2014

Price forecasting based on training step is discussed in this paper. The purpose of forecasting is obtaining suitable commodity price forecasting model. This experiment uses a whole year price for ten type's mobile phone .The price data is extracted from http://www.jd.com/. The whole year data is used as the original data to improve Least Squares Support Vector Machine (LS-SVM) model based on the training step. By researching this forecasting method, the experiments are carried out under different training steps, different types cell phones depending on the accuracy rata. With the growth of the training step, the precision of the LS-SVM model cuts down obviously. The research can help consumers obtain the better purchase decision-making when they buy cell phones, provide cell-phone distributors with certain reference.
Design on Framework for Dynamic Monitoring of Virtual Machines
Authors: Chen Ke Ming
Published: February 2014

In order to ensure that the cloud platform client runtime kernel virtual machine security, this paper proposes a new framework for dynamic monitoring of virtual machines, it is for the kernel rootkit attacks, study the cloud client virtual machine operating system kernel safety, presented Hyperchk virtual machine dynamic monitoring framework. This framework mainly for kernel rootkit attacks, ensure that customers running virtual machine kernel security.
Research on k-Anonymity Privacy Protection of Social Network
Authors: Ren Xiang Min , Jia Bo Xuan , Wang Ke Chao , Cheng Jian
Published: February 2014

Social network is a collection of interrelated social actors, including individuals, groups, organizations, enterprises, even countries, is playing more and more important role in our life. But there are a lot of individual information in social network, it would violate individual privacy when publishing and analyzing the information. To avoid privacy disclosure and prevent privacy attacks, some k-anonymity privacy protection methods of social network are presented. In this paper, we represent the models of anonymization in social network and its key points, including definition, attack, and usefulness. We compared the difference among the proposed anonymization methods and techniques of privacy preserving in social networks. Finally, potential challenges in social network are proposed.
Application Research of Satellite-Ground Positioning Technology in Forestry
Authors: Zhang Xue Qin , Zhang Xu , Yu Xin Wen
Published: February 2014

Global satellite positioning technology has been applied to transport, mapping, security, agriculture, forestry and other fields. In this study, we summarized the application of satellite positioning technology in forestry, pointed out issues of low signal amplitude, and low accuracy of positioning in practical application. This paper introduced the theories of several commonly used assist positioning technologies, such as, Wi-Fi positioning, wireless sensor network positioning and inertial navigation, analyzed its application in forestry base on its characteristics of these positioning technologies, then proposed the technical method of the combining positioning. Designed the locating scheme of forestry based on nature reserve patrol business, and briefly introduced its basic theories. In this study, we analyzed the feasibility of the application of wireless positioning in forestry by control variables and regression analysis.
Simulation and Study for the Optical OFDM Communication
Authors: Zhang Xue Yi , Zhao Shuang Le
Published: February 2014

This paper gives a theoretical basis principle and structure of OFDM. The O-OFDM has three parts including transmitter, receiver and fiber. The main and key component is IFFT and FFT block. And then a basic direct detection optical-OFDM system (DO-OFDM) is designed and simulated by the software Optisystem. The performance of the system is viewed by the visualizer of the software compared to the RZ, OFDM and QAM modulation system. The result shows that the OFDM system is better than conventional serial modulation schemes like RZ, QAM.
Low Cost, Precision, Passive-Alignment Technique for 100 Gb/s DP-QPSK Receiver
Authors: Liu Wei Hua , Wu Gui Ju , Zeng Shan
Published: February 2014

We propose and develop a passive alignment technique of 4 output waveguides of PLC-based 90° OH and a 1×4 PD array. This alignment technique only uses an infrared CCD camera and an infrared light.
The Command and Schedule System for Radio and TV Transmit Stations
Authors: Tang Xue Cheng , Zhou Jian
Published: February 2014

In this paper,we talk about the design and realization of the command and schedule system for radio and TV transmit stations.We first describe the whole system structure.Then,the paper gives a detailed description about the system function.Finally,we describe the simply implementation of this system and a design scheme is recommended.
Fast Roaming Algorithm Based on Complex Scenes
Authors: Xiao Juan , Wei Yu Qing , Yan Zhong Wen
Published: February 2014

The system quickly build virtual scene and the scene of several aspects like transport, application layer interaction techniques were studied in this paper, to build an easy development and deployment, scalability, easy maintenance, based on experience and strong Internet roaming online interactive virtual reality systems. Rapid method for constructing virtual scene scene WebVR transport mechanisms and interactive virtual scene surface were studied, research has better practical value.
RDS Receiver Design
Authors: Zhou Mang , Shuai Jian Ping
Published: February 2014

The article introduced the basic data construction of RDS and how to use hardware and software combination to achieve RDS data reception and processing. Subcarrier demodulation is completed by ASIC that outputs RDS pulse signal to the decoding MCU. Discuss focuses on fast and efficient RDS signal sampling and processing. The algorithm is concise and easy to implement, so common MCU can complete the input data synchronization, verification and valid data extraction.
High Precision Low Power Quartz Temperature Transducer
Authors: Li Chang Fu , Ma Jing , He Fang
Published: February 2014

This paper presents the design, fabrication and characterization of quartz tuning fork temperature sensor which is based on new ZY-cut-quartz crystal bulk acoustic wave resonator vibrating in a flexural mode. Design and performance analysis of the quartz tuning fork temperature sensor has been conducted and the thermal sensing characteristics were examined by measuring the resonance frequency shift of this sensor cause by an external temperature. The sensor prototype was successfully fabricated and calibrated from operating from 0°C to 100°C with sensitivity of 70ppm/°C. Experimental results show the sensor has high thermal sensitivity, good stability and well reproducibility. This work represents high precision and low power temperature sensor using the comprehensive thermal characterization of ZY-cut-quartz tuning fork resonator.
Research and Application on Oilfield Product Heterogeneous Data Integration Based on Ontology
Authors: Huang Gang , Wu Xiu Ying , Yuan Man , Li Rui Fang
Published: February 2014

The Oil & Gas industry is moving forward with Integrated Operations (IO). There are different ways to achieve data integration, and ontology-based approaches have drawn much attention. This paper introduces an ontology-based distributed data integration framework (ODDIF). The framework resolves the problem of semantic interoperability between heterogeneous data sources in semantic level. By metadatas specifying the distributed, heterogeneous data and by describing semantic information of data source , having "ontology" as a common semantic model, semantic match is established through ontology mapping between heterogeneous data sources and semantic difference institutions are shielded, so that semantic heterogeneity problem of the heterogeneous data sources can be effectively solved. The proposed method reduces developing difficulty, improves developing efficiency, and enhances the maintainability and expandability of the system.
User Preference Based Spatial Skyline Query Method
Authors: Zou Yong Gui , Wang Zhi
Published: February 2014

With the increasing of data volume and data dimensions in road network query, the response gets slow in searching services, which cannot satisfy users demand for preference-based searching. This paper proposes a user preference-based Skyline query algorithm. At the first stage, this method is based on the fact that the static property of data does not change during the query processes. Therefore, Skyline starts its calculation in the non-spatial data set to have the candidate results and dominance relation. Then it calculates the total costs of routine by defining user preference function. At the second stage, compare the data connections with the total costs of preference to minimize time for processing data and searching. The experiment result shows that the definition of user preference meets the users demand, and Skyline query algorithm benefits to have quick response.
A Method about Embedding Watermark in PDF Document
Authors: He Shun , Li Yu Hui , Li Bo , Lian Yu
Published: February 2014

A method about embedding watermark in PDF document is proposed in this paper. First, PDF document is converted into a image format. Watermark image is converted into a scrambling image by Arnold transformation.And then the watermark is embedded into the PDF document image by discrete wavelet transform for PDF document image and matrix singular value decomposition for watermark image. Not only can watermark be extracted without the original image, but also increase the safety by this means. Experiment express, on the condition that the same size of the watermark image,the method made more copyright information as watermark be embedded into PDF document and the amount of the watermarked PDF document data be affected less with the increase of copyright information.
An Autonomous Learning Multimedia Courseware Design
Authors: Li Yun Cheng
Published: February 2014

Aimed at project Instructional Courseware Design Using Geometrical Painting Method which is an sample of multimedia courseware, an suggestion was made that design should be directed by appropriate teaching and learning theory, bring forth all materials to learner through appropriate technology, making the learner to be able to join into the whole process of learning, to practice all the related technique in time, so that the learner could to be learned soon. Through this process, the learner not only could learn the knowledge it self, but also the method to solve problems in the real world.
Content Metadata Research of New Audio-Visual Media
Authors: Liu Jun Yu
Published: February 2014

The rapid rise of new audio-visual media business makes marking way and method about metadata of content of new media become extremely Important,appropriate marking way and method of content of new audio-visual media will directly impact exchange of contents of new media,its storage,positioning,retrieval,management and other related applications,meanwhile greatly affecting efficiency and sustainability of new audio-visual media.