bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Assessment Mechanism of Emergency Management System in China
Authors: Jiang Dong Min , Li Zeng Bin
Published: December 2011

Emergency management system has become more and more important. Through introducing the purpose and meaning of emergency management assessment system in China, and constructing the framework of emergency management assessment system. In order to put forward the assessment methods of emergency management system. By using the assessment method to quantify the emergency management system, and point out the emergency ability. Finally, emergency management assessment system provides reference for emergency management system.
Prediction the Chaotic Time Series of the Radio Signal Propagates through the Ionosphere
Authors: Ma Bao Ke , Guo Li Xin , Zhang Bei Chen
Published: December 2011

The signal distortion will be taken place and a set of attenuation time series will also be produced due to the interaction between the radio wave and the ionospheric irregularities when radio wave propagates through the ionosphere. In this article, based on the traditional chaotic time series prediction and the characteristic of the attenuation time series of the ionosphere, the traditional chaotic prediction method is modified, and a more suitable method is given. Final, by using the modified method, a set of attenuate amplitude time series of the radio signals which propagates through the ionosphere were predicted, and analyzed its prediction accuracy. The results showed that the modified prediction method is very good and accuracy at the short-term.
Design and Research on Adult English Learning System Based on the Mobile Technology
Authors: Wang Zhi Jun , Tang Xiao
Published: December 2011

Recently, with the rapid development of information network and communication technology, Mobile learning has playing an important role in people's studying and working and becomes the focus and tendency of distance learning. On the other hand, adult education as a supplement of ordinary education has playing an important role in improving labors' total quality, For adult learners are busy for work and they only have to learn at spare moment, so the form of adult education should be more flexible, not only limit to television university and night college. Mobile learning is flexible and individual which can provide adult learners a good way to learn. This issue's aim is to design and develop an adult English mobile learning system.
A Research of Direction Expert System Technology for Aircraft Maintenance
Authors: Qiu Zhi , Yu Shou Miao , Wang Zheng
Published: December 2011

An direction expert system for aircraft maintain with expert knowledge graphical building, three layers distributed web service, distance fault diagnosis and gather experience ability is introduced here. It is developed based on Delphi 6.0 utilizing multilayer web service, CLIPS expert system and SQL SERVER database technology.
Analysis of Urban Architecture and Architectural Autonomy
Authors: Wu Ya Jun , Ma Yu , Zhang Xin Yuan
Published: December 2011

The architectural autonomy have different meanings in different contexts, this article attempts to read the architectural autonomy which reflected in the architecture of the city from multiple perspectives. As types of architecture is the core of a building, "type ", so this article analyze the meaning of types by it between the city and architecture , the culture and form, the initiative and presupposition, the rationality and sensibility, then ultimately it comes to the dialectical features of architectural autonomy.
A Novel Static Traffic Grooming Algorithm Based on Steady Elimination Evolutionary and Gaming
Authors: Wang Xing Wei , Sun Yong Jian , Hou Wei Gang , Huang Min , Guo Lei
Published: December 2011

In this paper, we propose a static traffic grooming method, where both wavelength layered graph and evaluation function are deployed with the objective of maximizing Quality of Service (QoS) satisfaction degree of user and minimizing comparative cost of IP over WDM optical networks, based on Steady Elimination Evolutionary Algorithm (SEEA) and gaming. Using proposed novel hybridization operation and evolutional strategy with the consideration of individual diversity in niche population, our method can eliminate the worst individual in the current niche population and generate optimized traffic grooming program. Our method has been analyzed and compared with the other traffic grooming schemes on the realistic network topologies in our simulations. Simulation results have demonstrated that our method outperforms state-of-the-art grooming schemes, which is highly feasible and effective.
A New Approach for GNSS Ambiguity Decorrelation
Authors: Zhang Qiu Zhao , Zhang Shu Bi , Liu Wan Li
Published: December 2011

Integer carrier phase ambiguity resolution is the key to fast and high-precision Global navigation satellite system(GNSS) positioning and application. LAMBDA method is one of the best methods for fixing integer ambiguity. The principle of LAMBDA is discussed. For incompleteness of Cholesky decomposition and complexity of Integer Gauss transformation, a new approach for GNSS ambiguity decorrelation is proposed based on symmetric pivoting strategy and united inverse integer strategy. The new algorithm applies symmetric pivoting strategy to ambiguity covariance matrix while doing Cholesky decomposition, then finds the inverse and integer matrix of ‘L’. This method not only uses Cholesky decomposition to improve efficiency, but also avoids complicated Integer Gauss transformations. The feasibility and advantage of the method are verified using randomly simulation covariance matrix.
System of Sustainable Construction Based on Project Whole Life Cycle Management
Authors: She Yu Juan , Zhu Ya Hui , Huang Qian
Published: December 2011

As the result of construction products impact on the environment, the study of sustainable construction has become the high topic. Base on project life cycle management, from the sustainable management content and construction process, the managing system and process system of sustainable construction are set up in this paper following with some practiced methods.
Build Intelligent Library by Using Technology of the Internet of Things
Authors: Luo Jun , Yan Lian Long , Xu Sheng Hua
Published: December 2011

This article is started from technology of the Internet of Things, proposes a program to build a Intelligent library making use of RFID technology, And structures management system of the Intelligent library based on RIFD.
Design and Development of Mineral Resource Management Information System
Authors: Chang He , Gao Jian Guo , Pan Ping , Liu Xin Kai
Published: December 2011

With the increasing geographic information system development, more technology about GIS was introduced to the mineral industry. Because of the promotion and implementation of "Digital Mine", many mining companies and research institutes started to build large mineral resources management information system. Mineral data has complicated and diversified characteristics, it include Two-Dimensional, Three-Dimensional spatial data, production statements, mining point of information, sampling results etc. This paper introduces a kind of design method that spatial database associated with the attributive data(maps, text, tables, video, etc.) in the server, to establish an systematic mineral resource management information system including GIS functions, mineral data management functions, Web GIS functions.
Battery SOC Estimation Based on Multi-Model Adaptive Kalman Filter
Authors: Wei Ke Xin , Chen Qiao Yan
Published: December 2011

This paper introduces multi-model adaptive kalman filter estimation algorithm.Based on the battery thevenin model,the multi-model adaptive kalman filter is applied to the battery SOC(state of charge) estimation, which solute the battery SOC estimation in conditions that the battery model parameters change caused by temperature changing. Simulation results show that compared to the single model kalman filter algorithm, Multi-Model adaptive kalman filter algorithm improves the estimation precision and reliability greatly.
Elevator Smart Security System
Authors: Zhang De Min
Published: December 2011

The elevator smart security system provides a good method to access the elevator car buttons. It uses contactless smart card to active the car buttons. Only after brushing the authorized card, the car buttons can be selected, so the passenger can take the elevator to his home floor. Visitor can take the elevator via a visitor automatic controller not using card.
Interaction of CO with Pd-Doped α-Fe2O3 (001) in the CLC System: A Density Functional Analysis
Authors: Qin Wu , Chen Qiu Luan , Wang Tie Cheng , Wang Ning , Li Wen Yan , Lu Qiang , Dong Chang Qing
Published: December 2011

The present work is devoted to the theoretical interpretation of interaction of CO molecule with Pd-doped α-Fe2O3(001) using density functional theory (DFT). Two doping types were taken into account, which either a pair of Fe atoms of α-Fe2O3(001) surface was replaced by Pd or a pair of Pd atoms embedded into the vacancy between surface layer and sub-surface layer of α-Fe2O3(001). Three different active sites of the α-Fe2O3(001) surface and the Pd-doped α-Fe2O3(001) surface were considered for the interaction between CO and these surfaces. We found that the binding energy of CO on Pd-doped α-Fe2O3(001) surface was much more than that of the clean α-Fe2O3(001) surface. Results indicated metallic atoms are a Subscript text ctive site for adsorption of CO molecule, and the S(001) while interaction between CO molecule and surface doped by replacing Fe atom with Pd atom, stronger interaction happen between CO molecule and Pd embedded-doped α-Fe2O3(001) surface than that between CO molecule and the ideal surface, leading to the formation of CO2precursor species.
The Research of Transformation Process and its Influencing Factors from Individual Creativity to Team Creativity: Exemplified by Huawei Corporation
Authors: Fang Yu , Luo Jin Lian
Published: December 2011

Based on the current literature review, there exist some important limitations in the conclusions of influencing factor analysis, not only in organization and team process perceptive, but also in team type perceptive. Thus, this paper presents a factor classification method of the Lens Model perspective by referring to the two-stage theory of Lens Model, aiming to break the existed limitations. Then, we preliminary verify the rationality and necessity of it combined with the example of Huawei corporation and probably give some recommendations for company management at last.
Determination of Melamine and its Analogues in Food
Authors: Zhao Ting Kai , Liu Le Hao , Li Guang Ming , Li Tie Hu
Published: December 2011

Melamine (C3H6N6) consists of 66% nitrogen is an organic compound and seems to be not toxic by itself. However, it can cause fatal kidney stones as it reacts with cyanuric acid. In this paper, some methods for determination of melamine and its analogues in food and feed were reviewed after an extensive literature review.
Neural Network Control of EPS Based on the Cerebellum Model
Authors: Wang Ruo Chen , Sun Ze Yu , Chen Long , Ling An
Published: December 2011

A mathematical model of vehicle electronic power steering system (EPS)is established. To meet the response speed and real-time requirements of the EPS control, A neural network control strategy of EPS based on the cerebellar model is designed, steering system dynamic response is analyzed and EPS controller based on a single-chip computer with ARM kernel is developed, On the basis of the simulation road test of vehicle is carried out. The results show that the CMAC neural network control of EPS can well coordinate the contradiction between portability and flexibility, It can improve vehicle handling stability and the comprehensive performance of the vehicle.
Learning Patterns of Motion Trajectories Using Real-Time Tracking
Authors: Cai Ying Feng , Wang Hai , Zhang Wei Gong
Published: December 2011

The understanding and description of behaviors for road vehicles is a hot topic of intelligent visual surveillance system. Trajectory analysis is one of the basic problems in behavior understanding, from which anomalies can be detected and also accidents can be predicted. In this paper, we proposed a hierarchical self-organizing neural network model to learn trajectory distribution pattern and a probability model for accident recognition. Sample data including motion trajectories are first get by real-time vehicle tracking. The self-organizing neural network algorithm is then applied to learn activity patterns from the sample trajectories. Using the learned patterns, we consider anomaly detection as well as object behavior prediction. Experiments in actual road scene show the effectiveness of the proposed algorithm.
A Novel DOA Estimation Method for Wideband Signals
Authors: Liu Fu Gang , Diao Ming
Published: December 2011

For direction of arrival (DOA) estimation of wideband signals, the traditional algorithms’ estimating accuracy and complexity were mainly affected by pre-estimation of DOA. By forming an angle set which elements were arithmetic progressions in the range of possible arriving angles, the algorithm used the new angle vector to replace the preliminary estimation of arriving angles. It can avoid the impact of pre-estimation bias on performance of DOA estimation and greatly reduce the amount of computation and the consumed time for DOA estimation to favor the real-time application of wideband DOA estimation. The simulation results showed that the proposed algorithm was able to provide significant performance improvement over the conventional algorithm.
The Study on Maintenance Mechanism of Rural Highway in China
Authors: Xie Xiao Ru
Published: December 2011

With the mature development of trunk roads and national highways, China diverts her attention to rural highways' development in the face of issues concerning agriculture, rural areas and farmers. Rural highways make great contribution to the development of rural economy and will resolve issues adequately. So rural highway should receive close attention. But there is no answer from experience in maintenance field, the maintenance mechanism is unscientific, and its management is confused. If we can't change this situation properly, it will largely affect the maintenance quality of rural highway and be an obstacle to the travel of farmers and the circulation of agricultural goods. So we take Wuhan rural highway for example to settle the potential problems. In order to get the experience and revelation, first, I make it clear about the concept of rural highway and analyze the maintenance situations of Wuhan, the capital of Hubei province in China; Second, I’d like to point out the problems in the maintenance mechanism of Wuhan rural highway; Then, I give countmeasures to maintenance mechanism of Wuhan rural highway from the financing channels and maintenance model. The financing channels to get adequate funds and maintenance model fully exerting its economic factions will directly affect the quality of rural highway and even the development of national economy. The abundant fluent funds supply chains and the optimization of maintenance model are the guarantee of safety and efficiency of rural highway, directly affect the trips of farmers and the circulation of agricultural goods, promote the development of integration of urban and rural economies and help construct a harmonious society.
Empirical Research on Creative Human Capital of Family Enterprises: A Review Based on Sustainable Development
Authors: Wu Meng Yun , Lu Jie
Published: December 2011

How to efficiently introduce creative human capital of family enterprises, disclose the relationship between creative human capital and profit, human capital, the quantity of labor, earning distribution relationship, knowledge accumulation & institutional innovation are big tasks for Chinese enterprises’ growth. We may find the relationship between sustainable development and creative human capital is single-directional, that’s to say, creative human capital of family enterprises improves the enterprises’ sustainable development.
Research on Reputation Systems Based on E-Business to Guarantee Integrity Transactions
Authors: Zhang Han Lin , Li Sui Yi , Jia Xiao Jing
Published: December 2011

It should be designed one kind of reputation system based on the public-key certificate system to assure the strangers in the environment of E-Business to guarantee integrity transactions. This reputation system should satisfy the transaction characteristics of entity in the E-business, which can not only store the reputation evaluation data in a distributed way but also delete the malicious entity effectively based on certificate revocation mechanisms. Aiming at the transaction characteristics of objectivity, simplicity and utility, this paper gives us an improvement on add algorithm and subtraction algorithm for reputation data in the system. At last, using the experiment in analog simulation, it shows that the reputation system can realize those functions effectively.
The Plagiarism Detection for Scientific Paper in Word 2007
Authors: Wang Yan Bo , Yang Jian , Liu Jun , Wang Xiao Guo , Huang Yong
Published: December 2011

For the lack of the current academic paper plagiarism detection system only detects textual information similar, Analyzed the describes to relevant elements of the Microsoft Office Open XML specification，Proposed a plagiarism detection method for text, formulas, tables, pictures, and other technical elements on Word 2007 document format papers.
The Design and Simulation of Vehicle Electronic Control Network Based on CAN/LIN Bus
Authors: Lu Wen Chang , Lu Pei Ying , Long Chen , Wang Ruo Chen
Published: December 2011

A CAN/LIN bus-based distributed vehicle electronic control system is designed and nodes of the control system are defined in this paper. The simulation of system designed is completed by Vector CANoe, which gives the results of bus load, peak load and the delayed time that transmitted on CAN bus. The sequence of message scheduling and the interval of message transmitted on LIN bus are also listed to show the reliability of CAN/LIN bus-based distributed vehicle electronic control system.
Image Enhancement Based on Space Domain with MATLAB
Authors: Bai Chun Lan
Published: December 2011

Based on image enhancement-theory of space domain method, gray-scale transformation, histogram adjustment, smoothing, sharpening filters and so on, which are analyzed. On this basis, image enhancement is carried on simulation and programming to use MATLAB. Results are analyzed and compared with gray-scale transformation, histogram adjustment, smoothing, sharpening filters of space domain method, indicating better to improve the image to adopt smoothing filtering.
Dynamical Assembly for Naked-Eye-Stereoscopic LCD Screen
Authors: Liang Fa Yun , Cheng Jie , Tie Zhi Cheng , He Xiao Ming , Wang Jing , Zhang Hua , Chen Hai Chu , Xiong Gen Liang
Published: December 2011

Auto-stereoscopic display uses LCD odd column pixels as left eye’s view image display and even column pixels as right eye’s，its can be perceived stereo vision by using special optic element to alter the light way of display and eye’s image system. The display panel’s optic structure contains on-off marrow slot illumination panel, TFT-LCD cell and backlight module. In this paper, We put forward an assemble method called dynamical assemble for 3D TFT LCD panel which used in our research work, .and analyzed its effect.
Mechanism Research of OWOM Marketing Based on SOR and AISAS
Authors: Chen Ya Li , Huang Tao Zhe
Published: December 2011

With its great power on consumers’ buying behavior, online word-of-mouth marketing has become an important marketing approach for enterprises. Mechanism research of OWOM marketing is very important to the successful implementation of OWOM marketing. Based on the combination of S-O-R model and AISAS pattern, this paper establishes an OWOM marketing mechanism model, divides OWOM marketing into four stages and give some suggestions on OWOM marketing.
Reliability Analysis of Computer Security System Based on Intuitionistic Fuzzy Fault Tree
Authors: Kumar Mohit , Yadav Shiv Prasad , Kumar Surendra
Published: December 2011

Fault tree analysis has been widely used for providing logical functional relationships among subsystems and components of a system and identifying the root causes of the undesired failures in a system. This paper analyzes the reliability of Computer Security System through the method of intuitionistic fuzzy fault tree, which is based on L-R type triangular intuitionistic fuzzy set. In this paper, a new approach of intuitionistic fuzzy fault-tree analysis is proposed to calculate fault interval of system components from integrating expert’s knowledge and experience in terms of providing the possibility of failure of bottom events and to find the most critical system component that affects the reliability of the system, which could be used for managerial decision-making. For numerical verification, the proposed method is applied for the failure analysis problem of Computer Security System to generate the fault-tree, fault-tree nodes, then directly compute the intuitionistic fuzzy fault-tree interval, traditional reliability, and the intuitionistic fuzzy reliability interval.
An Empirical Analysis on the Influence Factors of Stock Market
Authors: Li Hua , Zhou Hong
Published: December 2011

Many scholars have studied the influence of the single variable to the stock market. In this paper, regression analysis method and Econometrics software Eviews 6.0 are used to solve the problem. Through analyzing the inner relationship among stock trading volume, money supply, interbank lending rates, and consumer confidence index, this paper attempts to establish a multiple regression equation and eliminate the problems of multicollinearity, autocorrelation and heteroscedasticity at the same time. The empirical analysis proves the model has certain rationality which can provide the basis for investors on stock investment.
RoboGenius Team Description Paper Review and Develop a War Simulation Agent from AI Vision
Authors: Khosravi Abbas , Farhadipour Mohammad Kazem , Moghimi Abdolreza , Roozmand Najme
Published: December 2011

This article contains explanations on how to develop an intelligent agent in war simulation environment by RoboGenius team. The main Focus of the team is on artificial intelligence application in war simulation server [1]. For this purpose we used a combined base code part of which is related to Robotoos team and its general parts are related to UVA2003 in 2D soccer simulation [2]. In this article we analyze the environment from an intelligent agent view point rather than exploring software engineering issues. And, considering the kind of simulation environment we study exploring issues in this environment. Simulation environment has been considered as a semi-visible dynamic environment. Robot decision making problems and priority of its decisions have been explored and implemented by using the decision tree. For the problem of environment exploration in war simulation we have presented a new approach. Also, we have explored the possibility of using artificial intelligence in more developing war simulation agent.
Collision Avoidance in Unstructured Environments for Autonomous Robots: A Behavioural Modelling Approach
Authors: Yinka-Banjo Chika O. , Osunmakinde Isaac O. , Bagula Antoine
Published: December 2011

Collision avoidance is one of the important safety key operations that needs attention in the navigation system of an autonomous robot. In this paper, a Behavioural Bayesian Network approach is proposed as a collision avoidance strategy for autonomous robots in an unstructured environment with static obstacles. In our approach, an unstructured environment was simulated and the information of the obstacles generated was used to build the Behavioural Bayesian Network Model (BBNM). This model captures uncertainties from the unstructured environment in terms of probabilities, and allows reasoning with the probabilities. This reasoning ability enables autonomous robots to navigate in any unstructured environment with a higher degree of belief that there will be no collision with obstacles. Experimental evaluations of the BBNM show that when the robot navigates in the same unstructured environment where knowledge of the obstacles is captured, there is certainty in the degree of belief that the robot can navigate freely without any collision. When the same model was tested for navigation in a new unstructured environment with uncertainties, the results showed a higher assurance or degrees of belief that the robot will not collide with obstacles. The results of our modelling approach show that Bayesian Networks (BNs) have good potential for guiding the behaviour of robots when avoiding obstacles in any unstructured environment.
Design and Simulation of an Automatic Positioning System for Antennas Installed on Ships
Authors: de Freitas Marcelo Viana , Santisteban Jose Andrés
Published: December 2011

Due to the advancement of technology, war or civil ships are carrying more and more antennas and sensors, both for entertainment (TV antennas) as well as for everyday tasks (navigation radar antennas, positioning, arms and communication). This article describes a proposal for a digital control system aiming the positioning of a digital TV antenna mounted on a ship. In this case, beside the electrical signal of usual sensors, the data provided by a GPS (Global Positioning System) receiver are utilized to design the control system. Simulation results confirm the feasibility of this approach.
Physical Characteristic Analysis of Solenoid-Based Coil Structure
Authors: Sulaiman Nadzril , Yunas Jumril , Sugandi Gandi , Burhanuddin Yeop Majlis
Published: December 2011

Measurement of low magnetic field has played an important role in many electronics applications such as military, non-destructive test, medical diagnosis and treatment. The presence of magnetic field, particularly the strength and direction, can be measured using magnetometer. Fluxgate magnetometer is one of the prominent type among many types of magnetometer due to its simple operating principle, robustness and durability. The main components of fluxgate magnetometer consisting of Driving Coils, Sensing Coils and Magnetic Core. In recent years, fluxgates are increasingly made into micro-scale through MEMS silicon processing technology. Physical characteristics of fluxgate coils such as width of the coil; distance between successive coil; and gap between top and bottom coils have an effect towards device miniaturization and performance. Therefore, physical characteristic analysis of coils is significant. This paper highlights analysis on physical characteristics of solenoid-based coil structure for a micro-scaled fluxgate magnetometer by means of finite element method (FEM) simulations. The results of this analysis can be used to design proper coils that could improve the performance of the device.
PQ Event Classification Using Fuzzy Classifier
Authors: Saini Manish Kumar , Kapoor Rajiv , Sharma Bharat Bhushan
Published: December 2011

The work presented here uses multiwavelet because of its inherent property to resolve the signal better than all single wavelets. Multiwavelets are based on more than one scaling function. The proposed methodology utilizes an enhanced resolving capability of multiwavelet to recognize power quality events. PQ events classification scheme is performed using multiwavelet transform for feature extraction and fuzzy classifier for classification. In proposed algorithm,statistical features (.i.e. mean, standard deviation, variation etc.) and energy of the signal at different decomposition levels have been considered as feature vectors. The performance of fuzzy classifier has been evaluated by using total 1000 PQ disturbance signals which are generated using the based model. The classification performance of different PQ events using proposed algorithm has been tested. The rate of average correct classification is about 99.95% for the different PQ disturbance signals and noisy disturbances.
Fuzzy Gain Scheduled Multivariable Control of Nonlinear System Using PSO Based PID
Authors: Kamala N. , Thyagarajan T. , Renganathan S.
Published: December 2011

In this paper, Particle swarm optimization (PSO) is utilized to optimize the coefficients of decoupling controllers for a nonlinear process. The optimization criteria considered is the Integral Square Error (ISE) to minimize the tracking error. The controller is tuned at chosen operating points, which are selected to cover the nonlinear range of the process. The optimal PID controller parameters are gain scheduled using Sugeno Fuzzy Gain scheduler. Fuzzy gain scheduling is a special form of model-based fuzzy control that uses linguistic rule fuzzy reasoning to determine the controller parameter transition policy for a dynamic plant subject to large changes in the operating state. The effectiveness of the proposed control scheme has been demonstrated by conducting simulation studies on a Continuous Stirred Tank Reactor (CSTR) which exhibits dynamic nonlinearity.
Daugman’s Algorithm Enhancement for Iris Localization
Authors: Soltany Milad , Zadeh Saeid Toosi , Pourreza Hamid Reza
Published: December 2011

Iris localization is considered the most difficult part in iris identification algorithms because it defines the inner and outer boundaries of iris region used for feature analysis. Several researches were taken in the subject of iris finding and segmentation. The main objective here is to remove any non-useful information, namely the pupil segment and the part outside the iris. Duda and Hart used Hough transforms to detect the contours and curves. Daugman proposed an integro-differential operator to find both the pupil and the iris contour. Daugman’s method is claimed to be the most efficient one. This paper proposes an implementation for Daugman's algorithm, which was found incompatible with visible light illuminated images. Then this paper proposes algorithm enhancement for solving this problem.
Simulation Analysis of MEMS Based Capacitive Differential Pressure Sensor for Aircraft Application
Authors: Eswaran P. , Malarvizhi S.
Published: December 2011

In this paper, simulation solution for Microelectromechanical systems (MEMS) based capacitive differential pressure sensor for aircraft altimeter is proposed. The principle of proposed MEMS capacitive differential pressure sensor design was explained. Analysis for the measurement of center deflection and capacitive sensitivity square diaphragm membrane was done. Simulation on deflection and capacitive sensitivity was carried out for the range of pressure from 100mbar to1100mbar. Gold, diaphragm membrane was used in this analysis. Analysis result shows, linear variation on center deflection and capacitance variation which is more suitable for this application.
SOC Estimation of Ni-MH Battery Pack Based on Approved HPPC Test and EKF Algorithm for HEV
Authors: Sun Bing Xiang , Jiang Jiu Chun , Wang Zhan Guo
Published: December 2011

In this paper, Methods of SOC estimation of Extended Kalman Filter (EKF) is studied based on the characteristics of Nickel-Metal Hydride (Ni-MH) battery pack with 120 cells in series and 8Ah capacity for HEV. In the study of EKF-based SOC estimation, the improved Thevenin circuit model is adopted, and a new hybrid pulse power characterization （HPPC） test is designed to identify the model parameters by using piecewise linear regression method. In this way, the precision of the circuit model is improved. In addition, The Kalman gain matrix is optimized for EKF iterative algorithm by two ways: a constant gain is increased taking into account the entire process; a dynamic gain which increases at the beginning of abrupt change and decreases rapidly after abrupt change is set up. The improvement achieves a good tracing prediction.
Preparation and Characterization of Nanocrystalline CeO2
Authors: Liao Shi Yan , Li Jian Fen , Jia Kui Le , Zhou Xiao Rong
Published: December 2011

For the purpose of developing a novel and effective nano-CeO2catalyst used in biomass gasification for tar removal, nanocrystalline CeO2particles were successfully prepared by the homogeneous precipitation method, and different approaches including TG, FT-IR, XRD and SEM were used to characterize the CeO2nano-particles and precursors in this study. The analysis results indicated that the synthesized precursor was hydrated cerium basic carbonates and its formula was identified as Ce2O(CO3)2•nH2O, and it can completely transform into nanocrystalline CeO2particles below 400 °C under the air atmosphere. The prepared CeO2nano-particles were found spherical in shape and well dispersed; they had high purity and a fine crystal phase of cubic syngony structure with a mean size of 13 nm.
Fingerprint Singular Point Detection Using Orientation Field Reliability
Authors: Kumar Ravinder , Chandra Pravin , Hanmandlu M.
Published: December 2011

Singular point detection is the most important step in Automatic Fingerprint Identification System (AFIS) and is used in fingerprint alignment, fingerprint matching, and particularly in classification. The computation of orientation field of a fingerprint can be verified by computing orientation field reliability. The most unreliable portion in orientation field can be the possible location of singular points. In this paper we have proposed a novel algorithm for detecting singular points using reliability of the fingerprint orientation field. Experimental results show that the proposed algorithm accurately detects singular points (core and delta) with the detection rate of 92.6 %.
A New Approach on Stabilization Control of an Inverted Pendulum, Using PID Controller
Authors: Razzaghi Kaveh , Jalali Ali Akbar
Published: December 2011

Inverted Pendulum is a standard problem in control systems and is appropriate for depicting linear control principles. In this system there is an inverted pendulum connected to a cart that moves along a horizontal track with the help of a motor. We can determine the cart’s position and velocity from the motor and the rail track limits the cart’s movement in a bidirectional path. The pendulum’s angle of deviation and the position of the cart are determined by two sensors mounted on the system. Essential measurements and motor control signals are generated by a medium control board linking the computer and the system. Analysis of the results and yielding the control commands are done with the help of a MATLAB program. This is indeed a single input- dual output system because we must be able to control two parameters (pendulum’s angle and cart’s position) with just one control signal to the motor. Since the PID (Proportional Integral Derivative) controller is usually proper for SISO (Single Input Single Output) systems, we are eager to propose a procedure to control one of these parameters underneath the other. In this paper two tactics are described: 1. controlling the cart’s position beneath the pendulum’s angle, and 2. controlling the pendulum’s angle beneath the cart’s position. Regarding the results, one method is proven to be superior. We also mention some practical considerations in this paper.
A Comparative Study of Different Relevant Features Hybrid Neural Networks Based Intrusion Detection Systems
Authors: Ali Rashid , Kamthania Supriya
Published: December 2011

Intrusion detection is the task of detecting, preventing and possibly reacting to the attacks and intrusions in a network based computer system. The neural network algorithms are popular for their ability to ’learn’ the so called patterns in a given environment. This feature can be used for intrusion detection, where the neural network can be trained to detect intrusions by recognizing patterns of an intrusion. In this work, we propose and compare the three different Relevant Features Hybrid Neural Networks based intrusion detection systems, where in, we first recognize the most relevant features for a connection record from a benchmark dataset and use these features in training the hybrid neural networks for intrusion detection. Performance of these three systems are evaluated on a well structured KDD CUP 99 dataset using a number of evaluation parameters such as classification rate, false positive rate, false negative rate etc.
Design and Implementation of a Fuzzy Logic Controller for Two Wheeled Self Balancing Robot
Authors: Farooq Umar , Asad Muhammad Usman , Hanif Athar , Hasan K.M. , Amar Muhammad
Published: December 2011

This paper describes the design of a simple fuzzy logic controller for self balancing robot. The proposed controller is single input, single output controller. The input to the controller is tilt angle and the output forms the speed commands for the motors. The controller is designed using MATLAB and implemented with a low cost readily available AT89C52 microcontroller. Results have proved the validity of the proposed controller for balancing the robot.
An Auto-Tuning PID Controller for Integrating Plus Dead-Time Processes
Authors: Dey C. , Mudi R.K. , Simhachalam D.
Published: December 2011

We propose an auto-tuning PID (APID) controller with nonlinear gain. Its proportional, integral, and derivative gains are parameterized online by a nonlinear updating factor. Both performance and stability robustness of APID are studied with reasonable perturbations in model as well as controller parameters. Effectiveness of the proposed APID is tested through simulation study as well as its real-time implementation on a practical position control system.
Rule Extraction through Self-Organizing Map for a Self-Tuning Fuzzy Logic Controller
Authors: Pal A.K. , Mudi R.K. , Dey C.
Published: December 2011

Complex, imprecise, ill-defined and uncertain systems can be identified by fuzzy modeling. The identification of such a linguistic model consists of two parts; structure identification and parameter estimation. In this paper, we proposed Self-Organizing Map (SOM) clustering technique for structure identification. Initial parameters of the input-output membership functions (MFs) will be estimated from the clustering results. In the process of proto-type generation, the gradient descent method is used to refine and tune the parameters effectively. The proposed scheme has been successfully tested to identify the rules required to realize the gain factor of self-tuning fuzzy PI controller, which is highly non-linear in nature. Here, the system identification method is integrated with rule extraction method in such a way that it can pick up required rules from any processes. Finally, examples of various systems are given to illustrate the effectiveness of the proposed approach.
Characteristics of Bid Processes in Online Auctions
Authors: Li Chu Fen
Published: December 2011

Characteristics of online auctions in E-commerce are very critical for the system design in modern Internet E-Business. This study collected data traces in a famous commercial auction site. The collected data traces are examined by statistics and time correlations. Furthermore, more sophistical inspections, such as Hurst parameter and long-range dependence, are performed to probe the characteristics of the data traces. We found that brand name handbags and smart phones have a strong degree of self-similarity. The results are useful to further study the possible reasons for the presented self-similarity.
Ferroelectric and Electrical Properties of Potassium Nitrate Thin Composite Layers
Authors: Kumar Neeraj , Nath Rabinder
Published: December 2011

The ferroelectric and electrical properties of potassium nitrate (KNO3): polyvinylidene fluoride (PVDF) composite layers prepared by melt press method have been studied. The stability of ferroelectric phase (phase –III) of potassium nitrate (KNO3) in the composite layers at room temperature have been analyzed. The temperature dependence of ferroelectric hysteresis loop (P-E) characteristics have been investigated in the composite layers. The electrical conductivity (σ) and dielectric behaviour of composite layers have been characterized. The conductivity and dielectric variation with temperature during heating and cooling modes has been found to provide the knowledge of phase transition in the composite. The capacitance –-voltage (C-V) and conductance - voltage (G-V) characteristics clearly show the ferroelectric butterfly loop, which is attributed to the features of ferroelectricity in the composite layers at room temperature. The coexistence of ferroelectric phase (phase III) with paraelectric phase (phase II) has also been observed at room temperature in the composite layers during dielectric and conductivity measurements.
The Preparation and Characterization of Inclusion Complex of Ursolic Acid with γ-Cyclodextrin
Authors: Zong Wei , Bi Su Mei
Published: December 2011

In order to increase the solubility of ursolic acid, the inclusion complexes of ursolic acid with γ-cyclodextrin were prepared by grinding, ultrasonic and stirring methods. The characterizations of the inclusion complexes were proved by x-ray powder diffraction, fourier transform infrared spectroscopy, differential scanning calorimetry and scanning electron microscopy. The results confirmed the interactions of ursolic acid with γ-cyclodextrin, indicating the formation of the inclusion complexes. In addition, grinding method is a better way of preparing inclusion complex of ursolic acid with γ-cyclodextrin.
Study on Film of Polyvinyl Acetate Emulsion Modified by Starch
Authors: Zhang Yan Hua , Gu Ji You , Tan Hai Yan , Di Ming Wei , Li Zhi Guo , Si Qiu
Published: December 2011

The use of starch on polyvinyl acetate emulsion blend modified in order to achieve improved film toughness, which aims to improve water resistance and film-forming emulsion adhesive performance. Dynamic mechanical properties (DMA), scanning electron microscopy (SEM) method was used to analyze the dynamics of film emulsion blend composite mechanics, the distribution of latex particles and glass transition temperature. The results show that: with pure polyvinyl acetate (PVAc) compared to starch-modified film-forming emulsion film distribution, glass transition temperature of the homopolymer emulsion up to 30°C.
Simulative Study of Evolution Behavior of Transverse Surface Crack in Rolling Process
Authors: Gao Ya , Sun Jian Lin , Yun Bing
Published: December 2011

Based on explicit finite difference algorithm, finite element model of steel plate with transverse surface crack in rough rolling was found. The evolution regularity of transverse surface crack in rolling process was calculated with the model, and effect of different crack sizes, different friction coefficients and different roll diameters on crack evolution were studied. The research indicated that, in rolling direction, the crack tip stress changed from tensile stress to compression stress and then tensile stress again; length and depth of crack both had effect on the healing and propagation of the crack, and mostly in the way of influencing displacement of freedom surface of the crack; different friction coefficients showed no effect on crack tip propagation, but low friction coefficient would be in favor of crack healing at crack bottom; small roll diameter would lead to high crack tip tensile stress and more propagation at crack tip.
Paper Currency Recognition System Using Characteristics Extraction and Negatively Correlated NN Ensemble
Authors: Gour Minal , Gajbhiye Kunal , Kumbhare Bhagyashree , Sharma M.M.
Published: December 2011

An efficient currency recognition system is vital for the automation in many sectors such as vending machine, rail way ticket counter, banking system, shopping mall, currency exchange service etc. The paper currency recognition is significant for a number of reasons. a) They become old early than coins; b) The possibility of joining broken currency is greater than that of coin currency; c) Coin currency is restricted to smaller range. This paper discusses a technique for paper currency recognition. Three characteristics of paper currencies are considered here including size, color and texture. By using image histogram, plenitude of different colors in a paper currency is calculated and compared with the one in the reference paper currency. The Markov chain concept has been considered to model texture of the paper currencies as a random process. The method discussed in this paper can be used for recognizing paper currencies from different countries. This paper also represents a currency recognition system using ensemble neural network (ENN). The individual neural networks in an ENN are skilled via negative correlation learning. The purpose of using negative correlation learning is to skill the individuals in an ensemble on different parts or portion of input patterns. The obtainable currencies in the market consist of new, old and noisy ones. It is sometime difficult for a system to identify these currencies; therefore a system that uses ENN to identify them is discussed. Ensemble network is much helpful for the categorization of different types of currency. It minimizes the chances of misclassification than a single network and ensemble network with independent training.
Fabrication and Characterization of Porous Implant Products with Aligned Pores by EBM Method for Biomedical Application
Authors: Ikeo Naoko , Ishimoto Takuya , Fukuda Hidetsugu , Nakano Takayoshi
Published: December 2011

Recently, more attention has been devoted to porous implants to avoid stress-shielding effects and facilitate anchor effects. In addition, our previous research revealed that uniaxially aligned pores promoted early recovery of bone tissue with high bone quality similar to that of intact bone. In this study, Ti-based implant materials with uniaxially aligned pores were fabricated using the electron beam melting (EBM) method with 2 types of grid spacing, 0.5 and 1.0 mm. Although grid spacing was varied, the constituent phase and microstructure of the products were homogenous regardless of the grid spacing. Uniaxially aligned pores were created when the grid spacing was 1.0 mm, whereas almost solid structures with random pores were formed when the grid spacing was 0.5 mm. Young’s modulus of the products with the grid spacing of 1.0 mm was 34 GPa; this value is close to that of the bone. It is concluded that the porous material with aligned pores is suitable as a bone implant to reduce stress-shielding effects and to induce bone regeneration with good bone quality.
The Effect of Dynamical Strain on the Maturation of Collagen-Based Cell-Containing Scaffolds for Vascular Tissue Engineering
Authors: Levesque Lucie , Mantovani D.
Published: December 2011

Diseases occurring to blood vessel are preferentially solved by replacing the vessel by an autologous graft. When it is not available, a synthetic graft is used which has low patency rates for small diameter (<6 mm) vessels. Tissue engineering of blood vessel aims to improve the performance of vascular substitutes. Bioreactors are used in vascular tissue engineering to mimic the mechanical and biochemical environment of blood vessel. A 2D bioreactor was custom made in order to impose a dynamical strain to silicone membrane receiving the collagen cell-based construct. Collagen gels with vascular smooth muscle cells cultured inside were subdued to maturation under dynamical uniaxial stretch regimes at 1Hz for 48 hours. The percentage of deformation encountered by the silicone membrane was measured by ImageJ. Collagen fibrils and porcine smooth muscle cells (PSMC) orientations were assessed by scanning electron microscopy (SEM). Results show that the study of mechanical conditioning on cell activity is an important issue for enhancing the alignment of collagen fibrils.