bluuebunny/crossref_metadata_2025 huggingface dataset:
EOQ Model with Permissible Delay in Payments under Fuzzy Environment
Authors: Jaggi Chandra K. , Sharma Anuj , Jain Reena
Published: February 2014

This chapter introduces an economic order quantity inventory model under the condition of permissible delay in payments in fuzzy environment. All the parameters of the model, excluding permissible delay period and cycle length, are taken to be trapezoidal Fuzzy numbers. The arithmetic operations are defined under the function principle. The cost function has been defuzzified using signed distance method and thereby solved to obtain the optimal replenishment period. The numerical example is presented to show the validity of the model followed by sensitivity analysis.
Ordering Policy in a Two-Warehouse Environment for Deteriorating Items under Inflationary Conditions
Authors: Jaggi Chandra K. , Pareek Sarla , Khanna Aditi , Sharma Ritu
Published: February 2014

In this chapter, the two-warehouse inventory problem is considered for deteriorating items with constant demand rate and shortages under inflationary conditions. In today’s unstable global economy, the effects of inflation and time value of money cannot be ignored as it increases the cost of goods. To safeguard from the rising prices, during the inflation regime, the organization prefers to keep a higher inventory, thereby increasing the aggregate demand. This additional inventory needs additional storage space that is facilitated by a rented warehouse. Further ahead, in the real business world, to retain the freshness of the commodity, most of the organizations adopt the First-In-First-Out (FIFO) dispatching policy. FIFO policy yields fresh and good conditioned stock thereby resulting in customer satisfaction, especially when items are deteriorating in nature. However, the two warehousing systems usually assume that the holding cost of items is more in Rental Warehouse (RW) than the Owned Warehouse (OW) due to modern preserving techniques. Therefore, to reduce the inventory costs, it is economical to consume the goods of RW at the earliest. This approach is termed the Last-In-First-Out (LIFO) approach. The objective of the present chapter is to develop a two warehouse inventory model with FIFO and LIFO dispatching policies under inflationary conditions. Further, comparison between FIFO and LIFO policies has been exhibited with the help of a numerical example. Sensitivity analysis has also been performed to study the impact of various parameters on the optimal solution.
Study on Fuzzy Control System of Setting and Separating of Red Mud
Authors: Chen Xiang Ping , Xiong Jin Ling
Published: February 2014

Good settling properties of red mud are one of what contribute to smooth production of alumina. Many manufactories still adopt manual control on taking quantitative flocculants to control clarity of clear solution. This paper mainly studies a Genetic Algorithm-based adaptive fuzzy control device based on fuzzy control and genetic algorithm, and also focus on analyzing adaptive fuzzy control of clarity of clear solution, through the test of overflow, baseflow and a flocculants addition as adjustment method. From the results of control, the system can get a better control response, which satisfies the requirements of practice works, compared with ordinary PID control.
Study on Reactive Power Compensation Control of STATCOM Based on MMC
Authors: Xie Yan , Liao Ya Ne , Xie Hong
Published: February 2014

This paper introduced a new modular multi-level converter (MMC), which could enhance the voltage and power level by sub-converter modules in series and was easy to extend to any level of output. Its structure and working mechanism were described. By analyzing the performance of STATCOM based on MMC working conditions in the reactive power compensation, this paper studied compensation control theory in reactive changing conditions. To obtain compensation control response speed faster and better compensation effect, a compensation control strategy was proposed based on direct current control mode. The simulation results show the strategy has a better tracking precision and response speed for the reactive power compensation.
Obstacle Avoidance Path Planning for Harvesting Robot Manipulator Based on MAKLINK Graph and Improved Ant Colony Algorithm
Authors: Ji Wei , Li Jun Le , Zhao De An , Jun Yang
Published: February 2014

To the problems of real-time obstacle avoidance path planning for apple harvesting robot manipulator in dynamic and unstructured environment, a method based on improved ant colony algorithm is presented. Firstly, Vector description is utilized to describe the area where obstacles such as branches is located as irregular polygon in free space, and MAKLINK graph is used to build up the environment space model. Then, the improved Dijkstra algorithm is used to find the initial walk path for apple harvesting robot manipulator. Finally, the improved ant colony algorithm is applied to optimize the initial path. The experiment result shows that the proposed method is simple and the robot manipulator can avoid the branches to pick the apple successfully in a relatively short time.
Admissible Range of Proportional Gain in Stabilizing PID Region
Authors: Dong Yu
Published: February 2014

This paper considers the problem of stabilizing linear time-invariant plants by a PID controller. If the proportional gain reaches the extreme value, the closed-loop system contains a double pole on the imaginary axis. Using this property, the admissible range of the proportional gain is derived, also the corresponding integral gain and derivative gain are obtained. If the proportional gain is fixed, the stability region in the plane with respect to the integral gain and the derivative gain is determined by plotting the stability boundary locus. The effectiveness of the method presented is illustrated by several examples.
Fly-Back Mode Constant Current LED Driver
Authors: Yang Jia Zhi , Yi Sheng Li , Yang Fei , Jiang Cun Bo , Wang Xi Le , Yang Fan
Published: February 2014

LED driver plays an important role in unleashing many advantages of LED, such as high efficiency, long life-time. A constant current fly-back LED driver based on TOP222 is designed in this paper, and the transformer of the constant current power supply and the constant current feedback circuit are deeply researched. The experiment shows that, the output current of the LED driver is 1A, the output power is 10W, the power supply works in constant voltage mode within the low load situation. The result shows that the driver featured with good stability, constant-current characteristic, and high efficiency, is capable for driving LED.
Design of the Teaching & Training System Based on the Training Ship
Authors: Yu Shi Lin , Wang Jing , Ren Chang He
Published: February 2014

According to the teaching and training needs, we establish the network of education and training systems, which is programmed by taking advantage of training ship data, virtual simulation technology, network and computer technology, and provide a more functional teaching and training platform for the real-ship education.
Using Visible-Near Infrared Spectroscopy for Detecting Melamine in Pure Milk
Authors: Wang Lu , Peng Bao Jin , Jiang Xiao Gang , Shi Qing Guo
Published: February 2014

It designed a simple system device which can detect the concentration of melamine in pure milk in this paper. Using the visible-near infrared light source to irradiate melamine-contained milk solution, the reflection spectra would have obvious change at the wavelength of 500 nm with the increasing concentration of melamine in pure milk, and the reflection spectra are nearly overlapped at the wavelength of 1000 nm. Based on this principle, combined with the photoelectric technology and computer technology, collecting light at 500nm is used to determine the concentration of melamine, and collecting light at 1000nm is used to eliminate the Interference of other ingredients in milk. The experimental result shows that, when the concentration of melamine is not less than 3 , the relative error produced by the device is less than 1%. And the device can quickly detect whether the milk containing melamine in real-time and accurately show the concentration of melamine, which make the device have strong practicability.
Evaluation of Surface Defect Area in Metal Based on Infrared Thermal Image
Authors: Liu Zheng Ping , Hu Lin Hai , Zhou Jian Min , Cai Li
Published: February 2014

A method to evaluate surface defects, size of metal plate was put forward base on infrared thermography and time sequence images features. Put 45# steel plate as the object, firstly, time-sequence images in cooling process was got based on infrared thermography technology; Secondly, according to the change features of gray value in normal area and defect area of time sequence images, an identification was made to tell in which image the different factors exists. Finally, combined statistical differences between normal and defect area with image processing techniques to achieve the defect area evaluation. On the basis of laboratory studies, trials of 45# steel sheet were carried out in laboratory and the expected goals were reached. Proposed method enables the average relative errors for each evaluated defect area are less than 7 percent. which can provide a useful reference for the evaluation of defect area of infrared nondestructive testing field.
Intelligent Detector Research and Development of Water Quality Based on Lon Bus
Authors: Su Jian Huan , Zhang Yin Jun
Published: February 2014

Present our water pollution has become a prominent issue, in order to further enhance the water quality testing and management, so the paper designed the system has easy to carry and test simplify, etc. because of the system using neuron 3150 chip as the main processor, the circuit is easy to design. The system is according to water quality, dolor reactants which are chosen according to the measured parameters have different spectral absorption characteristics. At the characteristic absorption wavelength, the absorption of light energy depends on the content of the measured ingredients.
Research on Information Processing Module in Intelligent Alcohol Tester
Authors: Li Yao Hui
Published: February 2014

Information processing module, which includes fuel cell sensor circuit, pressure sensor circuit, heating and temperature sensor circuit and signal filtering amplifier, is the core of Intelligent Alcohol Tester. Its main task is to complete the collection and pretreatment of alcohol gas signal. In this paper, the hardware module is first simply introduced. And next, test method and the relevant criteria are done to prove that the modules have good accuracy and stability and achieve the requirements of alcohol tester.
Research of Thermal Infrared Target Detection by Second Prediction Difference Method and Top-Hat Transformation
Authors: Wang Fang , Quan Lei
Published: February 2014

Detection technology of thermal infrared targets in scene image is to automatically detect target in busy background and intensive environmental noises by image processing algorithm and then to obtain the gray-scale targets image. Intensity of thermal radiation have business with temperature, so when the temperature is high then the radiation intensity is high and the image tone is shallow, but when temperature is low then the intensity is low and the tone is deep. This article researched the firelight in scene image, and combined the second prediction difference method and Top-Hat target detection based on gray-scale morphology to obtain the thermal infrared target image. Further more, it did simulation experiments and research deeply image processing technology according to the actual scene image. Finally it summarizes the effective algorithms of detection and identification which have instructional meaning to optical remote sensing, targets detection and fire control engineering and so on.
In Situ Detection and Localization of Partial Discharge Using Acoustic Sensors
Authors: Yaacob Mohd Muhridza , Alsaedi Malik Abdulrazzaq
Published: February 2014

The partial discharge (PD) phenomenon is very harmful for electrical appliances and its early detection could be a cost effective approach for the industry. Although many techniques are used for PD detection yet no technique has presented widely acceptable solution. Still the subject needs parallel study of the detection techniques. In this study, partial discharge signal has been captured by the three techniques using fiber optic sensor (FOS), Piezoelectric Sensor (PZT), leakage current (LC) techniques. In these experiments, FOS shows good sensitivity in the range of applied high voltage > 5 kV. The sensitivity and noise level of PD signal was different in these two experiments. The location of a PD was demonstrated in a 500 gallon water tank using convolution method.
Partial Dicharge Signal Analysis in Insulation Oil Using Optical Chromatic Technique
Authors: Yaacob Mohd Muhridza , Alsaedi Malik Abdulrazzaq
Published: February 2014

In this work optical chromatic approch has been use to analyze PD signals in insulation oil. The study of chromatic approach of acoustic emission for PD phenomenon addressing PD signals with three detectors red, green and blue (R,G,B) having non-orthogonal (overlapping) responses. The outputs of the three detectors are transformed into a number of chromatic parameters designated x, y, z as well as hue, lightness and saturation (H,L,S). The x, y, z represents the proportion of the signal from each of the three processors while H, L, S represents the dominant phase, effective strength and notional spread of the PD signals respectively. This technique provides a high degree of traceability in relating the chromatic parameters to the raw PD signals. Changes in the values of the chromatic parameters are shown to reflect various PD trends and to provide early indications of incipient insulation failure and PD source discrimination.
Sensors Distribution Program in Health Monitoring of Side Forklift Steering Mechanism
Authors: Yang Jing Jun , Liu Yi Min , Huang Guo Jian , Wang Xin Hua
Published: February 2014

In order to study the sensor distribution program in health monitoring of side forklift steering, we visited many ports and warehouses for inspection of side forklift steering safety in Huangpu district of Guangzhou, and summarized the most dangerous part of steering failure. Then we built a model of the steering mechanism which was simplified, and did motion simulation analysis .Then the dynamic simulation analysis was carried out on the ball pin. Finally, through the simulation calculation of maximum stress under various working conditions, we can determine the position of sensors stationing, and it provided with the train of thought of sensors distribution in health monitoring of side forklift steering mechanism.
An Efficient Algorithm Optimization of CT Images Segmentation Based on K-Means Clustering
Authors: Ma Guo Qiang , Wang Xiao Juan
Published: February 2014

Computer tomography image (CT Image) segmentation algorithms have a number of advantages. However, most of these image segmentation algorithms suffer from long computation time because the number of pixels and the encoding parameters is large. We optimized the k-means clustering program with MATLAB language in order to improve the efficiency and stability of k-clustering algorithm in CT image segmentation. One hundred CT images are used to test the proposed method code and compare with the k-means function of the MATLAB R2012a Statistics Toolbox. We analyzed the difference of the two kinds program running time using single factor analysis of variance (ANOVA) and observed the efficiency and robustness of the segmentation results. The experimental results show that the optimized k-means clustering algorithm code has higher efficiency and robustness of segmentation. High performance of the proposed k-means clustering program is illustrated in terms of both the evaluation performance and computation time, compared with some current segmentation methods. It is empirically shown that the proposed k-means clustering program is robust and efficient for CT images segmentation.
One-Step Process of NH3 detection Based on Nanofibrous Membranes/QCM System
Authors: Chen Li Zhu , Jia Yong Tang , Yan Cheng Cheng , Yu Hui , Dong Feng Chun
Published: February 2014

One-step process of poly(styrene-co-maleic acid)(PS-PMA) nanofibers/QCM combination system was proposed as a novel ammonia detection in this study. Nano-sized PS-PMA fibers were deposited on the QCM electrodes via electrospinning technique directly, which can retain the original high specific surface area of PS-PMA nanofibers, and simplify NH3detection process significantly. Experimental results showed that this new PS-PMA nanofibers/QCM sensor exhibited excellent ammonia sensing performances, such as rapid response and good reproducibility. Moreover, the carboxyl content on the surface of PS-PMA membranes was also determined as well as the specific surface area in order to study the structure-properties relationships.
Improved Multi Scale DR Medical Image Enhancement Algorithm
Authors: Sun Xiao Jing , Chen Ai Bin
Published: February 2014

The original DR image is decomposed into different scale and frequency of the band image sequence by using Laplace gaussian pyramid model methods. Using multi-scale image enhancement algorithm to enhance the High frequency component of the decomposed image, Then adjust the light of the low frequency part to make the reconstructed image illumination contrast more reasonable. The enhanced process according to different frequency layer image feature make the different gain weight for the different frequency layer image characteristics,so different frequency image layer realize respectively noise smoothing, dimensionality reduction and enhance the effect of edge character.The simulation experiments showed that this Image Processing Algorithm effect is very good.
Rapid Gradient Projection Algorithm for Image Reconstruction
Authors: Yan Hai Xia , Liu Yan Jun
Published: February 2014

In order to improve the speed of compressed sensing image reconstruction algorithm, a rapid gradient projection algorithm for image reconstruction is proposed. In traditional Gradient Projection algorithm, the pursuit direction is alternating, in rapid gradient projection algorithm, we use the Newton's method to calculate the gradient descent direction, thus the constraints conditions of gradient projection is satisfied. And the target function is updated in each iteration computing. The effect of approximation matrix to target function is reduced. The iteration computing times is reduced, because the algorithm works in accurate search direction. Experiment results show that, compared with the GPSR algorithm, the RGPSR algorithm improves the signals reconstruction accuracy, improves PSNR of reconstruction signals, and exhibits higher robustness under different noise intensities.
Study on the Positioning Error of Turntable Based on Machine Vision System
Authors: Yu Fu Sheng , Sun Zhong Guo , Yin Sheng Jiang , Li Teng Fei , Shi Wei Kang
Published: February 2014

This paper developed a turntable positioning error measurement system based on machine vision. The system consists of image acquisition devices, the image acquisition card, computer and data processing software and other components. Among them, the image acquisition devices consisted of two digital CCD cameras and two microscope objectives. The image acquisition devices capture images of fixture fixed on the turntable in horizontal and vertical direction. Then, the collected images are processed by adopting the filtering method, binarization method, edge detection method, calibration method and other steps. The high-accuracy measure of turntables positioning errors is realized, and the error histogram is drawn. Theoretical analysis and experimental results show that the method is correct and feasible.
The Semantic Label Automatic Sorting Based on the Base Classifier Weighted Voting
Authors: Wang Yong
Published: February 2014

The ranking results of semantic label are the important reference index on the point whether the image sematic automatic tagging results are right. To the problem of the disorder of the current image sematic labels, this paper suggests a method of the image semantic label automatic sorting which is based on the base classifier weighted voting. This method based on the content in the significant image regional, it weighted votes on every part of the semantic label, with the help of the base classifier. In this way, it tests the relevance of each semantic label and the image that makes the right order of the image label.
Research on Design and Nonlinear of Piezoelectric Pressure Sensor
Authors: Lin Guo Min , Zhou Fei , Li Chun Feng
Published: February 2014

Measuring circuit and equivalent circuit of piezoelectric sensor and its parameters of voltage, capacitance and charge are analyzed. The intensity, the sensitivity and natural frequency of pressure sensor are designed. The influence factors and compensation method of pressure sensor nonlinear such as effective area of diaphragm, pre-tightening force, and temperature are analyzed. Key words: Sensor; Piezoelectric wafer; Measure circuit; Equivalent circuit; Nonlinear
Application of Wavelet Analysis in Denoising Seismic Data
Authors: Liu Qing Yi
Published: February 2014

The random noise is the kind of noise with wide frequency band in seismic data detected by the optical acceleration sensors. The noises influence and destroy the useful signal of the seismic information. There are a lot of methods to remove noise and one of the standard methods to remove the noise of the signal was the fast Fourier transform (FFT) which was the linear Fourier smoothing. In this paper, the novel denoising method based on wavelet analysis was introduced. The denoising results of seismic data with the noise with FFT method and wavelet analysis method, respectively. SNRs of the signal with noise, FFT denoisng and wavelet analysis denoising are-8.69, -1.13, and 8.27 respectively. The results show that the wavelet analysis method is prior to the traditional denoising method. The resolution of the seismic data improves.
Multi-Structural Non-Linear Data Fusion Method
Authors: Gong Zhi Hua , Duan Peng Wei , Li Yong Guang , Yue Rui
Published: February 2014

In systematic measurement and control mode composed of optics, radar and telemetry, trajectory measurement is in need of high precision. So, based on exterior trajectory parameter expressed by Hermite function, this paper proposes a multi-structure data fusion method with multisource heterogeneous measuring elements, which is called function restraint EMBET method. Based on the fusion simulation calculation and analysis of the same data of multisource heterogeneous measuring elements both using general EMBET method and function restraint EMBET method, it is proved that function restraint EMBET method is sensitive to errors, besides, it have the advantage of strong practicability and high precision.
Nonlinear Vibration with Volterra Series Method Used in Civil Engineering: The Bouc - Wen Hysteresis Model of Generalized Frequency Response
Authors: Ran Qing , Xiao Mei Ling , Hu Yue Xin
Published: February 2014

Volterra series take important role in nonlinear vibration analysis. For material hysteresis, it is proposed Bouc-Wen model to estimate frequency response function by using Volterra series in this paper: first, the component of hysteretic linear parameters was identified, then complex function was calculated, finally the differential equation of hysteretic systems was solved based on Harmonic detection method. It is not only for fast-identifying system parameters, but also providing for nonlinear seismic response.
Direction of Arrival Estimation Based on a Tensor Approach
Authors: Cheng Jin Fang , Qian Fu , Li Nan
Published: February 2014

In this letter, we put forward a novel tensor-based Multiple Signal Classification (TB-MUSIC) applicable to a vector hydrophone array. For this purpose, the signal subspace is derived from the higher order singular value decomposition (HOSVD) of the third order tensor of the output model. Then the proposed method is achieved by signal subspace projection weighted with the reciprocal of principal singular values multiplying by the spatial spectrum based on TB-MUSIC. The synthetic spatial spectrum shows higher resolution and robustness under no-ideal scenarios. Monte Carlo experimental results are provided to illustrate the better performance of the proposed method.
Complexity Analysis of Rainfall in Jinsha River Basin, China
Authors: Xie Yun Xia , Zeng Shang Chun , Li Dong Long , Wang Jun
Published: February 2014

The hydrological processes are becoming more and more complex. Fractal dimension is one of the important measurements of complexity. This paper utilizes wavelets transform technique to calculate the fractal dimension of rainfall in July for eight stations (Yushu, Xichang, Pingshan, Lijiang, Kunming, Huili, Deqin, Lnage ) in the Jinsha River Basin. The results show: the rainfall series in the Jinsha River Basin is fractal; the approach for estimating the fractal dimension by using wavelet transform coefficients is feasible and effective; the fractal dimension of rainfall reflect the influence of factors on the rainfall.
Symbolic Regression on Noisy Data with Stepwise Genetic Programming Algorithm
Authors: Zhang Hong Rui , Hao Jian , Lv Yan Gang , Zhao Li
Published: February 2014

In this paper, we present a stepwise genetic programming algorithm to perform regression on a large number of noisy data, the purpose of which is to find a mathematical model for samples. To obtain an accurate statistical model of noisy sample points, discrete cosine transform was inserted into a standard GP algorithm. The energy-compaction property of DCT makes it very suitable for accelerating the implement of the standard GP algorithm and dealing with the noisy data samples. We tested the proposed algorithm with benchmark instances and compared it with several popular other algorithms. The experimental results have shown that the proposed algorithm is a powerful tool in finding optimal solutions.
Cloud Computing Survey
Authors: Lu Gang , Zeng Wen Hua
Published: February 2014

Since the concept of cloud computing was proposed in 2006, cloud computing has been considered as the technology that probably drives the next-generation Internet revolution and rapidly becomes the hottest topic in the field of IT. The paper synthetically introduces cloud computing techniques, including the currently non-uniform definition and the characteristics of cloud computing; The paper also introduces the core techniques of cloud computing, such as data management techniques, data storage techniques, programming model and virtualization techniques. Then the 4-tie overall technique framework of general cloud computing is talked about. Finally, the paper talks about the obstacles and opportunities.
The Investigation of a Novel Large-Strain Sensor Based on a Dual Capacitive Structure
Authors: Duan Cheng Li , Jiang Ya Dong , Tai Hui Ling , Chen Li Jie , Li Qi Dong , He Ying Fei
Published: February 2014

In this paper, a novel large-strain sensor based on a dual planar capacitive structure has been developed. It has the capacity of large-strain measurement up to 200,000 με (0.2 ε). The change in strain causes a measurable transformation in the capacitance of the sensor by relative shift of the overlap area between two capacitive plates, one fixed (i.e. fixed plate) and the other one movable (i.e. movable plate), and is thus converted into a voltage signal by a read-out circuit module. The dual capacitor structure was designed for increasing the initial capacitance and improving the resolution of sensors compared with a single capacitor structure. The experimental results showed that the sensor had a linearity of 2.29% full scale (FS), a hysteresis error of 1.146%FS, repeatability of 0.226%FS and a resolution of 0.5%FS, suggesting excellent performance of the sensor.
Design of Femtocell-Based Smart Home System Gateway
Authors: Li Wei , Lu Er Qing
Published: February 2014

With the development of Internet technology and communication technology, traditional base station has been unable to meet the demand for high data services. In view of this, we propose the system core with Samsung S3C2440X processor constructs smart home hardware platform and using ADI ADF4602 single-chip, multiband 3G Femtocell transceiver to establish 3G home base stations, designed and realized an embedded gateway server through the house gateway to realize the family appliance equipment remote monitoring. Of software design, focusing on smart home control system, transplantation of embedded operating system uClinux to manage system resources, constructed a complete family gateway hardware and software platform, which can reduce the load of Microcell, improve the whole network capacity, and provide high-speed and high-quality indoor wireless access services.
A Novel RFID-Based Thermal Convection Inclinometer on Flexible Substrate without Grooved Structure
Authors: Lin Jium Ming , Lin Cheng Hung , Lin Chia Hsien
Published: February 2014

This research proposes a novel wireless RFID-based thermal convection type inclinometer by using non-floating structure without a cavity in the substrate. Four new ideas are presented. The first one is to make the device on a flexible substrate, thus it can save more energy than the traditional silicon. The second one is to integrate both an inclinometer and a wireless RFID antenna on the same substrate, such that it is a wireless device and very convenient for usage. The third idea is to fill xenon gas in the chamber with hemi-spherical or hemi-cylindrical shape instead of the previous one with carbon dioxide and rectangular shape. Because the xenon gas would not produce oxidization effect to the heater, so it would be more reliable. The fourth idea is to use non-floating structure instead of the floating one. The results by using floating structure with xenon and CO2gases are studied the first; but the sensitivity performances are not good. Note that the sensitivities for the proposed non-floating structure by using hemi-spherical chamber filled with xenon and CO2gases are better, and the one of the former is better than the latter by 70 %. On the other hand, the response speed (step-input of tilted angle) by using hemi-cylindrical chamber with xenon gas is the quickest, the average response time is 545μs, while the rectangular chamber filled with CO2is the slowest, and the average response time is 848μs.
Structural Design of Intrusion Detection System
Authors: Meng Yao
Published: February 2014

This paper first engine starting defense from Intrusion Detection, Intrusion detection engine analyzes the hardware platform, the overall structure of the technology and the design of the overall structure of the plug, which on the whole structure from intrusion defense systems were designed; then described in detail improved DDOS attack detection algorithm design thesis, and the design of anomaly detection algorithms.
Research on VMF Interoperation
Authors: Wang Xuan , Luo Qiang Yi , Li Ling Ling
Published: February 2014

This paper designs a VMF interoperation solution framework, and proposes an automatic generation method for VMF codecs, VMF-FMF translation unit and VMF-HLA gateway based on VMF data element dictionary, FMF data element dictionary and FOM table. The generated VMF codecs can be distributed to ensure the interoperation between C2 systems using VMF standard; The VMF-FMF translation unit can be used to ensure the interoperation between C2 systems using VMF standard and those using FMF standard; The VMF-HLA gateway can be deployed in simulation systems to ensure the interoperation between these systems and C2 systems. The proposed method also enables these generated utilities fast incorporation of the up-to-date information of the VMF Standard, FMF standard and FOM table.
New Information and Communication Technologies' Application Process and Pattern of Commerce
Authors: Yu Jin Yan , Liu Wei Dong
Published: February 2014

With EDI, Internet, e-commerce and other key technologies, the application process can be divided into three stages: data processing stage represented by EDI, rapid popularization stage brought by Internet and diversified stage with e-commerce. The commercial activities in China has widely used information to strengthen competition to a certain degree. Enterprises of different industries, types and scale vary greatly in application of ICTs. From the perspective of application method, the current situation of application of ICTs by commercial enterprises in China is characterized by high network application and popularization rate, emerging of e-commerce enterprises and wide application of information system software. The e-commerce development in China obviously centralizes in Beijing-Tianjin-Hebei Region, Jiangsu-Zhejiang-Shanghai Region and Pearl River Delta as well as Shandong Peninsula and Cheng-Yu area to a certain degree.
Wireless Pressure Sensor System
Authors: Gao Xin , Mackowiak Piotr , Mukhopadhyay Biswajit , Ehrmann Oswin , Lang Klaus Dieter , Ngo Ha Duong
Published: February 2014

This system consists of a pressure silicon sensor, calibration module and wireless module. The pressure sensor used in this work is a piezoresistive silicon sensor that developed by Technical University Berlin. After calibration of the sensors output signals, the XBee-chip was used for wireless transmission. The three components with peripheral circuits and batteries were integrated in a 50mm × 50mm PCB. The system was then tested in a climate chamber at different temperatures and pressures. Programs for signal receiving and processing were developed in Matlab-environment. The experimental results show that this system works well for the short range (15m indoor).
Interoperability Analysis and Expectation of Short Distance Micro-Power Wireless Communication Technology
Authors: Li Yun Feng , Cao Yang , Dong Gang
Published: February 2014

Electric energy consumption data acquisition system is an important part of the smart grid, with the construction and development of the State Grid Corporation electric energy consumption data acquisition, micro-power wireless communication is becoming one of the important local communication technologies for electric energy consumption data acquisition. However, many micro-power wireless provider different standards also brought many problems. This article describes the status of the domestic energy consumption data acquisition, the characteristics of micro-power wireless communications Interconnection and Interworking as well as prospects for the future research directions in the field of micro-power wireless communications.
The Prediction Model Research for Network Traffic Based on ARMA
Authors: Zhang Zhao Ji
Published: February 2014

This paper presents a new WIA-PA network intrusion detection system -- Auto Regressive and Moving Average (ARMA) network traffic prediction model. This model can predict the network traffic quickly and accurately, and because this is a third party testing system, it does not need to take network resources, the security of the WIA-PA network design is of vital importance. The simulation results show that our proposed system can effectively detect intrusion attack, improve the performance of the entire network, prolonging the life of the network.
Research on the Distributed Characteristics of the Delay for Network Coding Based Real-Time Multicast in MANETs
Authors: Tan Guo Ping , Tan Lin Feng , Cao Lei , Ju Mei Yan
Published: February 2014

For the study of the applications of partial network coding based real-time multicast protocol (PNCRM) in Mobile Ad hoc networks, the researches should be developed in the probability distribution of delay. In this paper, NS2 is used to obtain the delay of data packets through simulations. Because the delay does not obey the strict normal distribution, the maximum likelihood estimate method based on the lognormal distribution is used to process the data. Using MATLAB to obtain the actual distribution of the natural logarithm of delay, then drawing the delay distribution with the maximum likelihood estimation method based on the lognormal distribution, the conclusion that the distributions obtained by the above mentioned methods are basically consistent can be obtained. So the delay distribution of PNCRM meets the lognormal distribution and the characteristic of delay probability distribution can be estimated.
Research on Undertaking Practical Education Network Platform Security Mechanism
Authors: Sun De Lin , Xu Gao Xiang , Lv Pin , Li Yu , She Jie , Lo Jia Xin , Lee Jiao , Lau Yang Ming
Published: February 2014

Undertaking practical education network platform is a network platform with strong practicalness, therere many security issues when developing and operating. From the angle of founding and operating a security website, this article focused on how to found a security operating environment and provide a security system service, put forward the suggest of referring to OWASP(The Open Web Application Security Project), and studied various kinds of security check mechanism. Using the methods above-mentioned can help avoid many faults during the operational process, decrease procedures operational risk, and found a efficient security mechanism.
Research on Gas Field Product Application Integration Model Base-on GIS
Authors: Huang Gang , Wu Xiu Ying , Li Rui Fang , Yuan Man
Published: February 2014

Although GIS application integration system has not officially formed, the distributed GIS application integration is the main means to implement the seamless integration between GIS and applications. This paper studied on the current situation of enterprises GIS application integration, and proposed an Loose Model Application Integration (LMAI) strategy based on meta-driven, defined the concept model and algorithm of application integration in loose coupling mode, designed the system integration framework of meta-model and applications, established the common application integration interface employing the Application-Oriented Component (AOC), developed the application integration system in GIS loose coupling mode underlying the Metadata-driven. Focusing on the GIS actual needs in gas field area, the effective integration and transmission query between GIS and the gas field professional application were implemented.
Model-Based Golf Swing Reconstruction
Authors: Lv Dong Yue , Huang Zhi Pei , Sun Li Xin , Yu Neng Hai , Wu Jian Kang
Published: February 2014

To increase the efficiency of golf training, 3D swing reconstruction is broadly used among golf researchers. Traditional reconstruction methods apply motion capture system (MOCAP) to gain golfers motion data and drive bio-mechanical model directly. The cost of MOCAP system restricts the application area of golf research and the reconstruction quality of swing relies on the accuracy of the motion data. We introduced the dynamical analysis into swing reconstruction and proposed a Dynamic Bayesian Network (DBN) model with Kinect to capture the swing motion. Our model focused on modeling the bio-mechanical and dynamical relationships between key joints of golfer during swing. The positions of key joints were updated by the model and were used as motion data to reconstruct golf swing. Experimental results show that our results are comparable with the ones acquired by optical MOCAP system in accuracy and can reconstruct the golf swing with much lower cost.
The Numericial Calculation of Retaining Structure with Double-Piles
Authors: Chen Ying Hui , Pan Yan Lian
Published: February 2014

Combined with a foundation pit in kunming, the paper use the finite-difference software flac3d to establish engineering model and carry on the numerical simulation to simulate the excavation on the initial engineering condition of the double-row piles retaining structure. Summarize the calculation results when change the distance of the pile-rows and the length of the piles to analyze the results differences and changing law. The conclusion has some practical value in engineering.
A New Measuring Device and its Application on Surface Deformation Measurement of Concrete Shaft Lining
Authors: Yue Feng Tian , Sun Meng , Shi Rong Jian , Zhang Yong , Lu Lu
Published: February 2014

In light of the shortcomings present in the measuring devices of shaft lining surface deformation, a shaft lining surface deformation measuring device was proposed. With a protective cap to reduce the influence of external environment, the measuring device can reflect the deformation of shaft lining according to the tautness of a strain steel string. Featuring by its simple structure, operational convenience, and low cost as well, the device has been applied to the auxiliary shaft of Maiduoshan mine, Ningxia, China. The upper part of Maiduoshan auxiliary shaft had been constructed using mine tunneling method, before the bottom part of large water inflow section been constructed using freezing method. The deformation of the completed shaft lining was measured during the freezing method construction, to provide important references for technical personnel taking reasonable protective actions.
Research on Influence of Thermosiphon Layout on Cooling Effect on Transmission Line Pile Foundation in Permafrost Region
Authors: Yu Hao Lin , Xu Xue Yan , Wang Wei , Li Ming Xuan
Published: February 2014

Research work on the thermosiphon layout design of transmission line pile foundation in Geermu permafrost region was performed by finite element method and the influence of thermosiphon layout design on the temperature of soil around pile foundation was calculated and analyzed. The numerical calculation results indicated that the cooling effect of thermosiphon was obvious, but the coolling effect varied with the difference of thermosiphon layout design. The more thermosiphon bars were laid out aound pile foundation, the lower the temperature of soil around pile foundation. The cooling effect of thermosiphon on pile foundation and soil became weaker and weaker with the increment of the horizontal distance between soil and thermosiphon-pile. The layout design of 12 thermosiphon bars was the best for the transmission line pile foundation in permafrost region.
Decoupling Control of the Gas Collectors’ Pressure System Based on Neural Network Inverse System
Authors: Meng Fan Wei , Tian Qing , Xu Bin
Published: February 2014

For collectors’ pressure system strong interference, coupled, nonlinear, multi-parameter and other characteristics, based on the inverse system decoupling principle, the reversibility of the mathematical model of the gas collectors’ pressure system is analyzed. BP neural network which has strong nonlinear approximation ability is applied, to approximate inverse system of gas collectors’ pressure system. Neural network inverse system with the original system composes of the pseudo linear decoupling composite system. The neural network inverse decoupling control of gas collectors’ pressure system is implemented. The simulation results show that this method realizes decoupling, has a certain application.
Kalman-PD Control for Depth System of Autonomous Underwater Vehicle
Authors: Yu Ming Yang , Qiu Zhi Qiang , Chen Hong
Published: February 2014

A Kalman-PD depth controller was designed for depth system of AUV, and the controller was simulated on MATLAB/ SIMULINK. Performance of the controller was observed with actuator saturation, random pitch sensor noise and random fin disturbances. At the same time, response of a conventional PID controller for depth closed loop was also given for comparison. Results show that the Kalman-PD controller gives well performance in dealing with the noisy and disordered depth control system of AUV.
Fault Diagnosis for Rotator in Rotating Machinery Based on Support Vector Machine
Authors: Niu Wei
Published: February 2014

As failure of rotator in rotating machinery has a certain concealment, fault diagnosis for rotator in rotating machinery based on support vector machine with particle swarm optimization algorithm is presented in the paper. And particle swarm optimization algorithm is applied to select the suitable parameters of support vector machine. In the study, we employ three PSO-SVM classifiers to recognize the four states of rotator in rotating machinery including normal state, rotor imbalance, rotor winding and rotor misalignment. More than 70 cases are used to testify the effectiveness of the PSO and SVM model compared with other classification models. The experimental results show that diagnostic precision for rotating machinery of PSO and SVM than that of SVM and BPNN.
Positioning Algorithm of Underground Personnel Based on ZigBee Technology
Authors: Jiang Wei , Yang Feng
Published: February 2014

In recent years, people pay more and more attention to coal production safety. In order to enhance the security of underground work, optimize the coal mine management, and improve the personnel location accuracy, a newly arisen technique based on ZigBee with the low power, low cost and low complexity, which is suitable for being used to implement personnel position in underground coal mine, is built after comparing with several kinds of major wireless technology. In this paper, we present a new algorithm of underground personnel position based on this new technology. The algorithm uses Gaussian filtering algorithm and Bayesian statistics theory. The algorithm has been tested and the result has been analyzed. The experimental results show that the proposed algorithm provides more accurate position than positioning algorithm using RSSI.
Method of Image Matching for Seabed Sonar Images Based on Regions of Interest
Authors: Zhang Zhi Gang , Bian Hong Yu , Xu Hui , Song Zi Qi
Published: February 2014

One of the most effective instruments for target detection in turbid waters is imaging sonar. However, the aspect angle of imaging sonar is usually small and that is a sacrifice for high detection precision. To make imaging sonar practical in large scale target detection with wide aspect angle, investigating image matching methods for continuous sonar frames is of great importance. A novel image matching method using local features of SIFT is described in this paper, which mainly focuses on the problem of weak echo signals and the following sonar images mismatch. The correspondence between objects and cast shadow regions is employed to extract regions of interest. Besides, status parameters of underwater vehicle are used to approximate the image transformation. Image segmentation methods are involved to decrease the size of the feature extracting regions and reduce the impact of non-target seabed areas, which improves the stability of this sonar image matching method significantly.
Research of Noise Reduction Algorithm Based on Real Time
Authors: Tong Guo Xiang , Lv Fang Fang , Tan Jian
Published: February 2014

This Paper Mainly Summarized the Filtering Effect of Modified LMS Algorithms. Modified LMS Algorithms could Deal with the Noisy Speech at Real Time by Using the Correlated Property of Useful Signal and Uncorrelated Property of Noise to Strengthen the Relevant Part and Weaken the Irrelevant Part. the Modified Algorithms could be Compared by the SNR (Signal Noise Ratio) of Output Signal, MSE (Mean Square Error) and Misalignment with the Help of MATLAB Simulation so that the Advantages and Disadvantages of each Algorithm can be Summed up. Finally, in Order to get Faster Processing Speed, a New Idea that Combined the Modified LMS Algorithms with RNS (Residue Number System) was Proposed. the Combined System could Process the Signal in Parallel Instead of Serial so that Greatly Improved the Processing Speed and Guaranteed the Effectiveness of Real Time Processing.