bluuebunny/crossref_metadata_2025 huggingface dataset:
A Theoretical Study of the Sustainable Use of Biomass Energy by Rural Households in China
Authors: Zhou Zhong Ren
Published: December 2011

Biomass energy is an important component of household energy consumption in rural areas of China. However, under current exploitation levels, the energy source is beset with both theoretical and practical challenges, and its sustainable utilization is seriously restricted. One key to solving this problem is the establishment of a theoretical framework for the sustainable use of biomass energy by rural households. Based on the new viewpoint that biomass energy is a type of ‘weakly’ renewable energy, this paper provides the first theoretical basis outlining the sustainable use of biomass energy in rural households, including systems theory, the theory of ecological carrying capacity, the utility theory, the theory of ecological economics and the theory of natural resource values. The relationships among these theories are also discussed. In addition, four conditions governing the theoretical sustainable use of biomass energy by rural households are analyzed: the sustainability of the resource supply, the sustainability of biomass energy production, the sustainability of consumer acceptance, and the sustainability of ecological environmental effects.
Shanghai World Expo Economic Impact Sensation Age Variance Analysis
Authors: Yang Shun Yong , Guo Xiao Meng
Published: December 2011

Based on the survey results of the residents of Shanghai, the article analyses the different perception of economic impact of Expo among people who have been divided into several different age groups though the analysis of 13 major indexes which reflect the perception of economic impact of Shanghai World Expo in order to guide the planning, operations and development of larger-scale activities and establish a harmonious relationship to achieve mutual benefit among tourists, community and large-scale activities. We hope to provide some references for government, planners of large activities and the other related organizations of activities.
A Simple FEM for Multi-Scale Problem
Authors: He Wen Ming , Lin Chang Sheng
Published: December 2011

For the problem∂⁄∂xi(∂ij(x/ε)∂uε/∂xi∂)=f(x), we present a multiscale FEεM to solve it when Ω is a complete periodic structure. The algorithm holds two characteristics: First the strain exists good accuracy on boundary layer; Second the computer memory that it needs is independent of ε .We use numerical experiments to investigate our results.
Research on Rotary and Tilting Table Five-Axis Milling Post-Processing Software Star-Fpost
Authors: Xia Lian , Han Jiang , Li Hu
Published: December 2011

Based on the MIRON UCP800 rotary and tilting table five-axis machine, this paper studies the mathematical model of Five-Axis machining and derives the algorithm formula of Six-Coordinate axis vector into five-axis AC rotary and tilting table. The Post-Processing process of turning the source file to the machine tool path code is fulfilled by using coordinate transformation matrix; with reading the cutting location file line by line, a dedicated five-axis milling post-processing software through adapting the Keyword-Triggered method is developed by using object-oriented program in the paper. First completing construction of Five-Axis machine tools mode in the VERICUT simulation environment, then manufacturing the whole shaft by ternary simulation of impeller machining in NX, and the simulation results shows that the function of Post-Processing software Star-Fpost. The software can provide the actual processing of information for MIKRON UCP800 five-axis machine tools.
An Investigation of the Nano-Structure Titanum Dioxde Thin Films as a Function of Film Thickness
Authors: Kangarloo Haleh , Shaygan Fahime Farid , Rafizadeh Saeid
Published: December 2011

Using resistive heated method, Ti films of different thickness ranging from 10 to 200 nm were deposited and post-annealed at a temperature of 473K with a flow of oxygen. The optical properties were measured by transmission spectroscopy in spectral range of 200-2500 nm. The optical functions were obtained from the Kramers-Kronig analysis of the reflectivity curves. The effective medium approximation analysis was employed to establish the relationship between the nano-structure and Effective-Media Approximation (EMA) predictions.It was found the temperature of deposition and thefilm thickness play important roles in the nano-structure of the film and cause significant variations in the optical behaviour of thin Titanium oxide films.
Research of Correlation-Model between Qualities Attributes and Quality Control Points in Assembly Process of the Complex Product Based on Network Flow
Authors: Liu Ming Zhou , Zhao Zhi Biao , Jiang Zeng Qiang , Ge Mao Gen , Ling Lin , Luo Yang , Wang Xiao Qiao
Published: December 2011

For representing the coupling relationships among various correlate elements in the formation process of assembly qualities, the mapping relations between the structure domain and the quality domain was established on the basis of analyzing the hybrid structure assembly. Through classifying the quality characteristics, the quality domain was divided into two sub-sets which are quality control points set and quality attributes set. Defining the relevant elements in the model, such as vertex, arc, etc by the theory of network flow, the coupling relations among various quality control points in the formation process of assembly qualities were reflected. According to the sequence of quality control points entering into assembly environment, their corresponding hierarchy in the model were determined, which presents the timing sexual of the formation process of assembly qualities. At last, a correlation-model between quality attributes and quality control points in the assembly process of complex product based on network flow was established, which would be the theoretical basis for the dynamic tolerance optimization of quality control points. An example of an automobile active gear axle assembly was given to demonstrate the feasibility of the correlation-model.
Digital Watermarking Based on Chaotic Encryption and Wavelet Transformation
Authors: Wang Yuan Mei , Li Tao
Published: December 2011

In the paper a digital watermarking algorithm based on chaotic encryption and wavelet transform is proposed. It uses Arnold transform to encrypt the original watermark image, and then decomposes the original host image to different frequency sub-image, combining with the merits of transform domain watermarking algorithm. The encrypted watermark image is embedded into the low-frequency coefficients of image by wavelet transformation. Experimental results confirm that the algorithm has good robustness.
The Singular Function Method Based on the Moving Load Deformation of Suspension Bridge
Authors: Xing Bang Sheng , Wang Xue Feng
Published: December 2011

This paper uses singular function method to analyze the deformation of simplified model of suspension bridge in the moving load, deduces the mathematical equations of the deflection and bending moment, analyzes the simplified model changes of mechanical deformation at different moving load position by using numerical analysis software mathcad,studies the most unfavorable load position and maximum absolute bending moment in a group of concentrated load, gets the results that the maximum absolute bending moment of suspension bridge section depends on the size of the load, mobile location and its distribution in a moving load. The moment influence line used by singular function is smooth segmentation functions. Researching findings provide theoretical basis for the design of suspension bridge.
On the Exploration of the Related Problems of the Domestic Enterprise Informationization Risks
Authors: Zhang Yue Sheng
Published: December 2011

In order to research enterprise informationization risks, compare with developed countries from internal prevent to external supervision, this research find to exist serious gaps. these results show that its reason is the deviation of recognition, implementation of rough technology and lack of security systems. Therefore, this paper suggests that the establishment of long-term risk management mechanisms can improve the success rate of implementation of information-based projects and reduce the occurrence of information-based risk, by the ways of raising awareness of risk prevention, acquiring the relevant technology and constructing of external risk supervisory environment.
The Research on 4WS Vehicle Steering Stability by Modeling and Simulation
Authors: Zhang Dai Sheng , Huang Jun Jie , Wang Hao
Published: December 2011

In order to improve vehicle steering stability, the influence of tire loads and steering system to the vehicle stability is taken into account in this paper, and the 4WS vehicle model is established and modeling and simulation research is carried through with the Matalab/simulink. The results point out the differences and characters of vehicle control mode in low speed and high speed. This model provides a method for 4WS vehicle design, improvement and optimization, and also provides reference for 4WS theory research and test check.
A Simple and Effective NDA Carrier Frequency Estimation Method for MPSK Signals in Unknown Fading Channel
Authors: Yan Zhe , Xu Hua , Li Ping
Published: December 2011

The problem of the frequency estimation of MPSK signal in unknown fading channel is too complicated and there is no research result for this problem at present, while we often meet these problems in practice. The method mentioned in this paper compensates the channel effects before the estimation the carrier frequency. This method is more simple and efficient than the method which uses frequency and channel impulse response for the joint estimation, and it is more convenient to remove modulation for MPSK signal. Compared with the frequency estimation research of non-fading channel, the estimation performance falls only about 3dB. So, this method can satisfy most application needs.
Application of Channel Capacity Quantization in Optical Communication
Authors: Qiu Shuang , Zhu Yi Chao , Shi Jun Chao , Wang Wei
Published: December 2011

quantization of channel capacity has significant value in information theory, and its concept is described in this paper. It is proved that channel capacity of quantum and classical communication theory has similar properties according to related definition. Channel capacity of optical communication is analyzed and studied. Then, the channel capacities with different parameters are calculated and exhibited. The relationship among the channel capacity C, average thermal photon numbers 〈M〉and average signal photon numbers K are displayed. As a result, by choosing the parameters reasonably, the signal communication efficiency is improved.
Research on Growth of Professional Manager and Sustainable Development of Family Enterprise: A Review Based on Trust Expansion
Authors: Lu Jie , Wang Jun , Xu Yan
Published: December 2011

Family enterprise needs to absorb and integrate new management resource continuously and has unique trust mechanism; In the process of retaining professional managers, there exists the absence of trust entertainment, mechanism, and ideal and so on. It is effective to adopt pan-family regulation to integrate management resource, expand the trust space of family enterprises and retain multiple competitive systems to restrain professional executives. Consequently,effective integration of professional managers,trust and family enterprises will come true.
Method of Control Lyapunov Function for Permanent Magnet Synchronous Motor
Authors: Fan Cheng Hua , Cheng Xiao Zhang , Jiang Xian Wei
Published: December 2011

This paper presents a novel means of designing a nonlinear controller for Permanent Magnet Synchronous Motor (PMSM) based on the method of control Lyapunov function.The most important of it is to find out an appropriate Lyapunov function to design control law by coordinate conversion so that the new system can be globally asymptotically stable.Simulation results clearly show that the proposed controller has good dynamics performance despite disturbances are loaded.
Research on Decomposition of Toluene Using Adsorption Combined with Non-Thermal Plasma
Authors: Dang Xiao Qing , Huang Jia Yu , Liu Xiao , Wu Tao , Kang Lu
Published: December 2011

The paper made a research on synergetic effect of gaseous toluene decomposition using dielectric barrier discharge plasma and adsorption. A systematic investigation on toluene removal efficiency and ozone byproduct generation was done using different types of fillers. The mixed fillers were found to be promising as ideal fillers. In terms of toluene removal efficiency, mixed fillers of zeolite and ceramic rings was the highest, around 97%, next is zeolite, then followed by ceramic rings and no filler-packed. Among the tested fillers, mixed fillers showed the least amount of ozone generation. For practical use of mixed fillers, it’s preferable to operate at 18kV than 20 kV, avoiding forming more undesirable O3byproduct on achieving the same toluene removal effect.
Simulator Design of Variable Pitch Wind Turbine
Authors: Chen Jin , Chen Guan Lin , Wang Zhen Hua , Song Hai Hui , Zhou Jin
Published: December 2011

This paper introduces a kind of simulator experimental system of a variable pitch wind turbine. This experiment system hardware consists of the ac motor, ac frequency converter, dc generators, ARM7 panel, rotational speed sensor etc. Based on the ARM Developer Suite integration programming environment, wind turbine simulation software that operated in the embedded operating system C/OS - II and C/GUI GUI is designed. The wind turbine software with wind speed size input, simulator wind speed curve selection, wind turbine power curve generation, variable pitch control and rotate speed measurement function, achieve true wind turbine in different wind conditions simulated a wind turbine operation. Test results show that this variable pitch wind turbine simulator is success. It is significance for wind power research and application.
Design of Digital Micromachined Thermal Gas Gyroscope
Authors: Chu Hong Jie , Zhu Xin Hua , Su Yan
Published: December 2011

Embedding microcontroller into sensor in order to make it smart has become one of development trends of sensor, especially for MEMS sensor. In this paper, the way of embedding microcontroller into sensor to design the digital micromachined thermal gas gyroscope (DMTGG) is discussed. The scheme of micromachined thermal gas gyroscope (MTGG) is introduced first, basing on it, the design of DMTGG is proposed. The design of digital drive module for MTGG, the design of signal detection of MTGG based on digital phase sensitive detector, and the design of embedded microcontroller system are introduced. The designed DMTGG has been tested by experiments. The measurement results of DMTGG show a system scale factor of 4.119mV/(o/s) ,a non-linearity of 0.38 %, a dissymmetry of 0.19%, a zero-bias stability of 1.05 o/s and a noise density of 0.95 o/s/Hz-1/2.
Sensitivity to Over-Etching of Improved V-Shaped Microcantilever
Authors: Subramanian S. , Gupta Navneet
Published: December 2011

In this paper we have analyzed the sensitivity to over-etching of our recently proposed improved V-Shaped microcantilever. For V-shaped microcantilever, the final length is very sensitive to over-etching because of the sharp corner at the free end of the cantilever. It has been observed that for different values of over-etching the improved V-shape microcantilever tip is more robust compared to the linear counterpart.
Parametric Study of Polymide-Based Micro Thermoelectric Generator (μTEG) Integrated with Micro Fluidic Channel
Authors: Manaf Asrulnizam Abd , En Heng Yeh , Sidek Othman
Published: December 2011

This paper discloses the design and finite element modeling of a flexible micro thermoelectric generator (TEG), which incorporates microfluidic channel to enhance the role of the heat sink. Polyimide substrate is used to accounts for the flexibility while PDMS microfluidic is chosen in the analysis. A study has been conducted to optimize the design parameters of thermo element length, cross-sectional area and the number of thermocouples acceptable in a prescribed area. The polysilicon thermocouple with 0.7 µm thick and 5 µm width is found to have the optimum length of 36 µm. For a device in the size of 1mm x 1mm and with a 5 K temperature difference across the heat source and heat sink, the open-circuit voltage is 1.373 V and the output power is 0.831 µW/mm2 under matched load resistance. The computational result also shows that by increasing the footprint area of the thermocouples with the step of 1 mm2, a substantial increase in the output voltage and power is observed.observed.
Effect of Taper Angle of the Optical Fiber Microprobe in Power Collection
Authors: Mukhtar Wan Maisarah , Menon P. Susthitha , Shaari Sahbudin
Published: December 2011

The objective of this experiment is to study the effect of taper angle of the optical fiber microprobe in power collection. Optical fiber microprobes with taper angle from 10° to 23° were fabricated using the automatic fusion splicer by applying one-sided pulling and electric arc heating technique. It was found that the maximum power detected by a small taper angle probe was only -34.22dBm. The highest optical power collected by the optical fiber microprobe in this study was -25.01dBm with taper angle of 22.9°. Large taper angle probe receives more light at the tip which increases the sensitivity of the probe.
Monitoring Pipeline Vibration due to Cavitation through an Orifice by Piezoelectric Sensor
Authors: Rad Farid Parvari , Zabihollah Abolghasem
Published: December 2011

Pipelines are one of the most important and efficient ways for transporting energy like water, gas, oil and etc. between different places all across the world. As these pipelines are located in different conditions and situations, they are all sensitive to a wide variety of damages like vibration, so monitoring their structural behavior is an essential task. Monitoring pipeline vibration caused by cavitation through an orifice by a piezoelectric sensor is presented in this paper.
Evaluation of Site Selection for Chemical Projects Based on Tolerance of Residents
Authors: Zhao Tao , Zhao Shuang Ji , Zhang Ping Heng , Su Qing Fu
Published: December 2011

As the improvement of social awareness of environmental protection, the needs of the residents for good environment conditions have to be taken into account when decisions were made by Governments and corporations. In addition, corporations had to pay more attentions to environmental factors than economy and technology factors for Chemical Projects site selection. The tolerance of residents to chemical project was proposed in this paper, in which the definetion and the influence factors were described. And an evaluation indexes system of the tolerance of residents to the chemical project was employed, which contents four aspects of the dangerous of chemical project factors, enterprise factors, social influence factors and the residents themselves factors. Besides, the evaluation model of the tolerance of residents was established using the grey integrated method,and a example was discussed which proves the availability of this model.
A Survey Paper on: Fuzzy Mathematical Morphology Techniques for Digital Image Processing
Authors: Aggarwal Gargi , Agarwal Vijyant
Published: December 2011

This paper puts across the various approaches and methods that have been proposed in the context of Fuzzy Mathematical Morphology. The underlying principles of Dilation & Erosion, the structuring elements used in various techniques, the unique variations put forth by researchers, new applications in spatial relationships, decision making, segmentation of medical images have been discussed.
A Hybrid FCM Clustering- Neural Network Model for Intrusion Detection
Authors: Jawhar Muna M. T. , Mehrotra Monica
Published: December 2011

Security has become an important issue for networks. Intrusion detection technology is an effective approach in dealing with the problems of network security. In this paper, we present an intrusion detection model based on hybrid fuzzy logic and neural network. The key idea is to take advantage of different classification abilities of fuzzy clustering and neural network for intrusion detection system. The new model has ability to recognize an attack, to differentiate one attack from another (i.e. classifying attacks), and the most important, to detect new attacks with high detection rate and low false negative. Training and testing data were obtained from the Defense Advanced Research Projects Agency intrusion detection evaluation data set.
Empirical Analysis of the Influence Factors on Chinese Consumption Expenditures
Authors: Xi Feng Ru , Ma Zhen Zhen
Published: December 2011

Combining classical economics theory of consumption, in this paper, we had taken income, industrial structure and interest rates into consideration for their impacts on consumption expenditures in China. By using Eviews 6.0 to build econometric model and conducting positive research, we could conclude that the impacts of the aforementioned three factors on consumption expenditures. The findings of this paper could assist us to clearly understand the main causes of Chinese economic development. Finally, some policies were given according to the current situation in China.
Research and Simulation Base on Asynchronous Motor Soft Starter
Authors: Zhao Gang , Wang Lei
Published: December 2011

Soft-Starter is a new equipment and it is used to control Squirrel-Cage Induction Motors because of its pefect control effect, compared with the traditional Start method. This paper analysis the superiority of Voltage Ramp and current limit control algorithm.The MATLAB simulation result base on 4.7KW Motor shown that the soft-starter can be used to Reduce the start voltage, limit start Current and Reduce the impact on power. Correctness and validity of algorithms is verified by simulation results.
The Game Analysis of Financing Problem about Small and Medium-Sized Enterprises
Authors: Shi Ling Xi
Published: December 2011

Recently, along with the rapid growth of economy in China, the financing problem of small and medium-sized enterprises has been attracting much attention, and the game between enterprise and bank has become the main focus. Therefore, the analysis of financing problems and strategies has great theoretical and practical significance. This paper starts with analysis of the game conducted under different circumstances between bank and enterprise. What’s more, this paper proposes several strategies towards the problem according to actual economic condition in China, so that it can make enterprises contribute to the development of economy. This paper mainly uses qualitative analysis method and illustration of tables. The innovation of this paper is the specific analysis of the game process between bank and enterprise.
The System Control Model Based on Biological DNA
Authors: Wang Chun Xia , Qin Xian Sheng , Qi Zhong Xia , Liu Wen Hui
Published: December 2011

In order to increase autonomy and adaptive system, this article builds a control model based on biological mechanism of DNA. In the cell gene controls the characteristics of the organism by guidance to synthesis of proteins. On the basis of the research in the biological regulation of DNA expression and mechanism, building cell control model based on Petri nets, sketch-like cell control system design of basic ideas and principles, and the article provides a modeling method to improve system performance.
Finite Element Analysis of Tensile Modulus of X-Cor Sandwich
Authors: Dang Xu Dan , Shi Shao Jie , Xiao Jun
Published: December 2011

Through the analysis of micro-structures of Z-pin ends the basic hypothesis of elliptic configuration of the resin regions around Z-pin ends were proposed. The finite element model of the tensile modulus of X-cor sandwich was established and the finite element software ANSYS was used in the computation. The effects of Z-pin angle, diameter and density on the tensile modulus of X-cor sandwich were analyzed. Via the analysis of finite element model, the influencing trends of parameters of X-cor sandwich on the tensile modulus are achieved and the error range is ±10%. So the rationality of the proposed finite element model is verified and the finite element model can be used to forecast the tensile modulus of X-cor sandwich.
PM10 Prediction Model by Support Vector Regression Based on Particle Swarm Optimization
Authors: Arampongsanuwat Saowalak , Meesad Phayung
Published: December 2011

This paper proposes a prediction model for the PM10 forecasting in Bangkok. Particulate matter (PM10) with aerodynamic diameter up to 10 m (PM10) is targeted because these small particles effects people’s health and it constitutes major conSubscript textcern for the air quality of Bangkok. Support vector regression (SVR) has been successfully employed to solve regression problem of nonlinearity. The determination for hyper-parameters including kernel parameters and the regularization is important to the performance of SVR. Particle swarm optimization (PSO) is a method for finding a solution of stochastic global optimizer based on swarm intelligence. Using the interaction of particles, PSO searches the solution space intelligently and finds out the best one. Thus, the proposed forecasting model based on the global optimization of PSO and local accurate searching of SVR is applied to forecast PM10 in this paper. The results of this research show the practical prediction model of PM10 based on PSO-SVR is established with C = 5009, ε = 0.0011, σ = 0.1072. The mean squared error (MSE) of the prediction model using PSO-SVR is about 8.654610-11. Practical results indicate that the application of the PSO-SVR method to temperature forecasting of PM10 is feasible and effective. The results show that the model is effective and highly accurate in the forecasting of PM10.
Determining the Optimal Parameter for Education Surveillance System
Authors: Wichian Sageemas Na , Wongwanich Suwimon , Saengsiri Patharawut
Published: December 2011

Education Surveillance System is designed for predicting the state of education based on form of alarm signal using Incremental Leaning based on Mahalanobis Distance (ILM). However, ILM need to define two crucial parameters (co-variance matrix and distance threshold) it is not only very difficult for determining by general user but also depend on dataset property. This research proposed GAILM algorithm based on Ordinary National Education Test (Bangkok) dataset for finding approximate parameter and predicting. The result of experiment is represent GAILM technique discovering proximate co-variance matrix (0.91) and distance threshold parameter (0.44) and also high accuracy rate as 90.91% and 92.07%, in the year 2007 to 2008 respectively. This result was higher than the accuracy rate of traditional technique by K-Means algorithm and Cobweb.
AGRIX: An Ontology Based Agricultural Expertise Retrieval Framework
Authors: Phonarin Pilapan , Nitsuwat Supot , Haruechaiyasak Choochart
Published: December 2011

Generally, information retrieval (IR) performs keyword search based on the user query to find a set of relevant documents. In the domain of agricultural expertise retrieval, the goal is to find a group of experts who has knowledge in agriculture (by using publications as the evidence) specified by the input query. Typical publication IR systems could sometimes return the search result sets, which consist of a huge amount of publications. Some of the returned publications are not relevant to the individual user’s information need. In this paper, an ontology based agricultural expertise retrieval framework called AGRIX is proposed with the focus on the ontology creation to cover three following aspects: (1) expert profiles and publications, (2) type of plants and (3) problem solving. To build the ontology model, we used a set of publications (1,249 records) which was collected from the Thai national AGRIS center, Bureau of Library Kasetsart University. In addition, a set of inference rules is created to support the expertise retrieval task. By using AGRIX to implement an agricultural expertise retrieval, users can search for experts in two perspectives, plant (e.g., rice, sugar canes) and problem solving (e.g., plant diseases, fertilizers).
Research on the Mechanics of a Novel Pulsed Micro-Injection System
Authors: Lv Yong Gui , Chen Kai
Published: December 2011

Aiming at the inadequacies of the existing liquid injection mechanism, a novel pulsed micro-injection technology based on an amplification piezoelectric actuator (APA) was presented. The mechanics of the micro-injection was investigated. The theoretical model among the parameters of flow velocity, orifice’s dimension, amplitude and rising time of the pulsed signal was established. A micro-injection experimental system was established. The injection pressure out of the orifice was measured. Results show this novel micro-injection technology is feasible, and future development of the novel injection systems is possible.
A Constructive Algorithm with Adaptive Sigmoidal Function for Designing Single Hidden Layer Feedforward Neural Network
Authors: Sharma Sudhir Kumar , Chandra Pravin
Published: December 2011

In this paper we propose a constructive algorithm with adaptive sigmoidal function for designing single hidden layer feedforward neural network (CAASF). The proposed algorithm emphasizes on architectural adaptation and functional adaptation during training. This algorithm is a constructive approach to building single hidden layer neural networks dynamically. The activation functions used at non-linear hidden nodes are belonging to the well-defined sigmoidal class and adapted during training. The algorithm determines not only optimum number of hidden nodes, as also optimum sigmoidal function for the non-linear nodes. One simple variant derived from CAASF is where the sigmoidal function used at the hidden nodes is fixed. Both the variants are compared to each other on five regression functions. Simulation results reveal that adaptive sigmoidal function presents several advantages over traditional fixed sigmoid function, resulting in increased flexibility, smoother learning, better convergence and better generalization performance.
Study on the Model of Individual Customer Retention in Consumer Durables Market Considering Service Input
Authors: Zhang Xu Mei , Liu Xiang Yu , Li Jun , Tong Jie
Published: December 2011

Focusing on the consumer durables market, a model of individual customer retention is built based on cross-selling and utility theory considering service input. The problem of how to choose an optimal service input and corresponding retention strategy in the consumer durables market is solved by analyzing and solving of the proposed model. The validity of the model is subsequently verified through further discussion of its effect on decision making.
Genetic Algorithm Based Optimization of Controller Parameters for an Electromagnetic Levitation System
Authors: Bhaduri Rupam , Banerjee Subrata , Sarkar Mrinal Kanti
Published: December 2011

Electromagnetic levitation system (EMLS) is inherently unstable and strongly non-linear in nature. Controllers based on linear model and designed by classical approach for any EMLS have restricted zone of operation. For a small variation of operating air-gap there is sharp degradation of controller performance. But it is essential to design an optimized controller that will stabilize unstable EMLS and will provide satisfactory performance for a wide range of operating air-gap. In this paper a Genetic Algorithm (GA) based optimisation technique for controllers of two actuator based levitation system has been discussed. GA has a highly proven track record of optimisation of parameters for different types of control schemes. Here the work focuses mainly on an optimal control of a proposed two actuator based EMLS scheme, which is composed of a stochastic technique based on Genetic Algorithm (GA).
A Communication Network Design for Robotics through a Queen Bees Algorithm
Authors: Mishra Shivendra , Christopher G. John , Mishra Manwendra
Published: December 2011

This design of the network establishes communication between the bunch of robots and control room, through the set of controllers and Machine learning core controller, and uses UHF for internal communication. Here, the machine learning main controller communicates with the control room through the WiMAX and keeps control over all slave miniature unmanned vehicles or robots. During the entire operation, it gets the plan and instruction from the control room, as well as it keeps learning the entire situation to handle any critical problem. Finally, this paper presents a queen bees algorithm and mathematical explanation for control and movement of all robots or Unmanned Vehicles for complex tasks.
An Algorithm to Determine Placement Sequence in Robotic Pallet Pattern Formation
Authors: Ali Khan Hussain , Masood Syed Hasan , Giecco Adrian
Published: December 2011

In automated manufacturing palletising operations, the Pallet Loading Problem (PLP) usually deals with generating optimal pallet patterns of placing boxes on a rectangular pallet. For a given pattern, the boxes can be placed in different set of sequences each affecting efficiency and productivity of robotic palletisation. Therefore, merely getting an optimal pallet pattern does not guarantee an optimal pattern placement strategy. Very few published literature is available to address this problem, and so there is a need to develop a methodology that considers the palletisers physical characteristics and limitations in robotic palletising systems. This paper presents development of an algorithm to determine the placement sequence in robotic pallet pattern formation with the aim of improving the operational efficiency in robotic palletisation.
On Line Application of Profit Based Unit Commitment Using Hybrid Algorithms of Memory Management Algorithm
Authors: Amudha A. , Asir Rajan C.Christober
Published: December 2011

As the electrical industry restructures, many of the traditional algorithms for controlling generating units need modification or replacement. In the past, utilities had to produce power to satisfy their customers with the objective to minimize costs and actual demand/reserve were met. But it is not necessary in a restructured system. The main objective of restructured system is to maximize their own profit without the responsibility of satisfying the forecasted demand. The PBUC is a highly dimensional mixed-integer optimization problem, which might be very difficult to solve. Hence a new software tool is developed in java using Memory Management Algorithm (MMA) by Best Fit (BF) & Worst Fit (WF) allocation for web based application. The proposed method MMA using Best Fit & Worst Fit allocation for generator scheduling in order to receive the maximum profit by considering the softer demand. Also this method gives an idea regarding how much power and reserve should be sold in markets. The Madurai Power Grid Corporation in Tamil Nadu, India demonstrates the effectiveness of the proposed approach; extensive studies have also been performed for different power systems consisting of 3, 10and 7 generating units. Simulations of the proposed are carried out for maximizing profit and computation time and results are compared with existing methods.
Measurements of Software Trustworthiness Based on Axiomatic Design
Authors: Yang Bin
Published: December 2011

Trustworthy software is more and more important. Through studying the basic characters of trustworthy software and the substance of axiomatic design, the method to measure trustworthiness of software based on axiomatic design is creatively proposed. Applying information axiom and weakest pre-conditions for any command C with a post-condition R, the measurement model of trustworthy software is set up.
Study for Comprehensive Regulation of the Frequency Characteristics of Doubly-Fed Variable Speed Wind Turbine
Authors: Wen Bu Ying , Lin Jian Xin , Jiang Yue Wen , Zheng Ting
Published: December 2011

Doubly fed induction generator use a back-to-back dual PWM converters that it can decouple of active power and reactive power, leading to reduce the system's frequency response. If it does not take additional control strategy, when the wind turbine capacity increases to a certain extent, frequency stability of the grid will have a significant hazard. On the one hand, when the frequency control loop responding the diversification of the system frequency is installed in the rotor of the doubly-fed variable speed wind turbines, the frequency can be regulated by controlling the rotor’s kinetic energy. On the other hand, by additional frequency control loop is installed in pitch angle control system, the wind turbine can also contribute to frequency control. In this paper by synthesizing the above two methods, wind farms can be participate in a better performance in frequency regulation. The results of the simulation show that the above-mentioned method is correct.
Electromagnetic Force Principles Study and Numerical Simulation of Permanent Magnet Synchronous Motor (PMSM) for Electric Mobile
Authors: He Rong , Zuo Shu Guang , Chen Rui Feng , He Lv Chang , Ma Cong Gan
Published: December 2011

Motors of electric automobile with low noise characteristics are increasingly in demand due to environmental considerations. The primary source of noise is attributed to electromagnetic noise, mainly affected by electromagnetic radial force. To obtain a better understanding of origination and components of radial force, in this paper, theoretically, calculate and analyze electromagnetic radial force principles; and establish 2-dimension CAE model of PMSM subsequently. After simulation and data analysis, in terms of time and frequency domain, respectively, calculate the numerical radial air-gap flux and radial force. Compare the theory with numerical results. To some extent, ratify the radial force theory of PMSM in electric vehicles.
Simulation and Realization on Turbo Decode in TD-LTE System
Authors: Li Xiao Wen , Xu Hu
Published: December 2011

Research and analysis on the different Turbo decode principles, a simple、 rapid and effect implementation approach is found in this paper and implemented in the TMS320C64xDSP. The running results of the Turbo decode program in CCS3.3 verify that the program is feasible and effective.
Lane Detection Based on Least Square Fitting
Authors: Hou Jie , Xiao Zhi Tao , Zhang Fang
Published: December 2011

Lane detection is a key technique for intelligent vehicle driving. Aiming at the detection performance of existing lane detection algorithms, based on least square fitting, we propose a lane detection algorithm for structural road. The lane videos are gotten by the monocular camera installed in the car. Image preprocessing is applied to improve image contrast and then the image is segmented by improved Otsu. At last, the current lanes are extracted and equations are rebuilt by the least square fitting. The experiment results show that the proposed method has better accuracy and robustness compared to existing lane detection algorithms.
Smartphone Green Vision at Dawn of Industry 4.0
Authors: Hofmann Dietrich , Margull Randolf , Dittrich Paul Gerald , Düntsch Eric
Published: December 2011

Aim of the paper is to present some collected facts for the re-invention of machine vision as green vision with smartphones. It is noteworthy that smartphones have not only a fundamental influence on machine vision itself but also on science, education and training in the fields concerned. Smartphones make machine vision green and convenient and reliable and affordable with just enough and easy-to-use apps.
Decision Support with Support Vector Machinesin R & D Project Termination Decision
Authors: Dong Jing Rong , Chen Yu Ke
Published: December 2011

Research and development (R&D) project termination decision is an important and challenging task for organizations with R&D project management .Current research on R&D project management mainly focuses on project selection decisions. Very little research has been done on the termination decision of R&D projects .In this paper a support vector machines classifer for assisting managers in deciding whether to abandon an ongoing R&D project at various stages of R&D is presented. It has also shown by the modeling and pattern recognizing results in terms of termination decisions of fifty R&D projects that the method possesses reinforcement learning properties and universalized capabilities. With respect to modeling and termination decision of R&D project, which has the fact that the evaluation criteria are hardly ever determined by conventional approaches such as statistical analysis, the method is available.
Design and Simulation of RF MEMS Tunable Spiral Inductor
Authors: Gholamian Sholeh , Abbaspour-Sani Ebrahim
Published: December 2011

This paper presents a tunable inductor using MEMS technology .This tunable spiral inductor is designed in order to be used in RF circuits such as : controlled oscillators with voltage (VCO) , matching networks ,amplifiers etc . The electrostatic method is employed for tuning the inductor by the movement of cantilever beam downward and changing the value of magnetic flux. Value of inductance varies fram 1.15nh to 0.561 nh .therefore ,tunablity of 66.21% was achieved .Maximum quality factor in the above inductor was achieved az 13.88 in the frequency 0f 12 GHz and the value of resonance frequency was achieved as 19.5 GHz
Real Time 3D Anaglyph Image Control Using MEMS Sensors
Authors: Kumar Deva Phanindra , Bajaj Sourabh
Published: December 2011

3-D Imaging refers to a technique for creating or enhancing the illusion of depth in an image by presenting two offset images separately to the left and right eye of the viewer. Anaglyph generation is one of the most cost effective methods of spectroscopic 3D imaging. Almost all human activities are related to some motion. In this paper we discuss about a method to control realtime anaglyph images based on the movement of MEMS inertial sensors. The aim is to track the movements of the sensor and accordingly build a system that controls anaglyph images simultaneously. A system to control anaglyph images using MEMS was developed at the end of experiment successfully. This can be further enhanced to develop various systems based on motion tracking and image creation, like human body modeling and gesture recognition and also to other 3D imaging techniques.
An Error Analysis on Images Using Skeletonization Methods
Authors: Daryal Neeti , Kumar Vinod
Published: December 2011

Vectorization is the most fundamental operation in interpretation of line drawings and document analysis. There are several reasons for converting image vectorization. Vector data is normally created from existing natural source image like photographs,scanned images. Choosing a best vectorization method that suits the needs of the system is very important. In general, good methods must preserve information like line geometry and intersection junction as far as possible. It is also important to analyze the error and find the accuracy of the result with respect to the original data. We have compared Skeletonization by Mathematical Morphology and Voronoi Diagrams with original image for vectorizing images. Root mean squre error is one of the good methods to analysis an error on original Image, Mathematical Morphology and Voronoi Diagrams. Literature about above said methods is also included in this paper.
A CMOS MEMS Resonant Magnetic Field Sensor with Differential Electrostatic Actuation and Capacitive Sensing
Authors: Ahmad Farooq , Dennis John Ojur , Khir Mohd Haris Md , Hamid Nor Hisham
Published: December 2011

This paper is about CMOS MEMS resonant magnetic field sensor in which differential electrostatic actuation, capacitive sensing, resonant frequency, quality factor and sensitivity of interdigitated comb resonator is investigated. Information is embedded in the output signal frequency because it is robust against the interference from other sources during transmission. At damping ratio of 0.0001, resonant frequency of the comb resonator is 4.35 kHz with quality factor 5000 and amplitude 18.45 μm. Sensitivity of the device towards external magnetic field is 9.455 mHz/nT which is 10,000 times improved than recently published data.
Flood Submergence Processes Simulation Based on Virtual Reality
Authors: Zhang Shang Hong , Liu Yan , Xia Zhong Xi
Published: December 2011

Flood submergence process simulation has important practical significance for flood control and disaster alleviation. An integrated information expression was developed to simulate flooding submergence. The Songhua River and urban area in Harbin, China were used as an example with the terrain described by a triangular mesh to describe the topological relations. A hydrodynamic model was used to calculate the water level of Songhua River, and submerged areas along the river were calculated by grid adjusting method for levees. The flooding process of levee-breach flow in Harbin city was simulated by using two methods: hydrodynamic model calculations method and water depth comparison method. Comparison of the two methods in terms of advantages and disadvantages were made. Combining hydrodynamic modeling method and domain searching method realized smooth simulation of flood routing process in three-dimensional virtual environment. The study presents the integrated information such as the geographical environment, flooded areas, flooding extent, and water depth distribution in the three-dimensional virtual environment, thus, can help improve flood submergence forecasting and decision.
Study on Design for Rolling Die of Feed Granulator
Authors: Li Yan Cong , Shan Hui Yong , Li Shu Huan , Song Xin
Published: December 2011

Ring die is key component in feed granulator; this document analyze current design method of the ring die, purposed a new design method is proposed. This method starts design of ring die from the pellet product property, and then gives concise analyses to the concept design and optimization design of ring die; by this design method, the porosity of the ring die and the pellets productivity of this ring die are increased. Using Shrimp feed granulator of 1.8mm pellet diameter as an example to verify this design method.
Study on the Existence of Positive Solution of Sub-Linear Fractional Differential Equation
Authors: Ma Shou Fu , Wei Zhen Fang
Published: December 2011

In recent years, the study on nonlinear fractional differential equation has been more concerned as it is widely used in physics, mechanics, geology, automation and many other disciplines and fields. This paper focuses on the sub-linear fractional differential equations, whose nonlinear is constrained by the power function. While in this case, it is possible to have positive solution by using the cone compression fixed point theorem. This study represents analysis on problems related to the fractional differential equations from the above aspects. With further development of this field in theoretical research and application, more explorations are waiting for us to do to lay a good theoretical foundation for its future development, and build up a broader prospect.
Double-Spindle Symmetrical Machining to Improve Machining Efficiency
Authors: Zhao Yan , Li Wen Bin , Liu Hao Ran , Shao Jing
Published: December 2011

In order to improve the machining efficiency of the duralumin turbine rotor of maglev molecular pump, this paper proposes a new double-spindle horizontal milling machining center structure. Through a brief introduction to other types of machine tools, describes the characteristics of this new machine tool and symmetrical machining implementation. This paper proposes a new double-spindle horizontal milling machining centers so that the machining efficiency of duralumin turbine rotors is improve 100% more than that of the traditional machine tool in theory. Moreover, its machining accuracy get relative improve as the decrease of the dividing accumulative error. At the same time, the cost of workpiece is reduced greatly.