bluuebunny/crossref_metadata_2025 huggingface dataset:
Engaging Social Movements in Developing Innovative Retail Business Models
Authors: Sebastiani Roberta , Montagnini Francesca
Published: June 2014

Consumers are increasingly expressing critical stances towards corporate power and mainstream market ideology. Although the literature depicts their attitude as mainly reactive, it is emerging that there is scope, in retailing, for more proactive forms of collaboration with companies. This chapter aims to explore the outcomes in terms of new retail formulas derived from the effective interaction between retailers and engaged consumers, such as those belonging to social movements. In the analysis, the authors refer to a specific context and kind of product, namely food, which has recently been catalyzing an increasing number of concerns as expressed by consumers, eventually aggregating the interests of various social movements expressing new more ethical and sustainable market stances. In particular, the authors focus on the case of Eataly, a new venture that emerged from an ideological alliance and a mutual organizational commitment between corporate power and the Slow Food social movement. Eataly represents an interesting setting to better understand how such forms of collaboration can occur, how and to what extent the community and corporate stances mutually adjust during the process, and which types of reactions emerge from the more radical members of the social movement.
Is Multichannel Integration in Retailing a Source of Competitive Advantage?
Authors: Andreini Daniela , Pedeliento Giuseppe
Published: June 2014

Multichannel integration in retailing is the ability of retailers to combine physical infrastructures (stores) and virtual channels (catalogues, Internet, and mobile shopping) in order to sell and distribute products and the related post-sales services. The purpose of this chapter is to investigate how shoppers perceive three different multichannel integration models in retailing: independent, database, and full-integrated models. The results of a qualitative enquiry and a quantitative survey reveal that when consumers choose among different multichannel retailers, the retailer's brand reputation, the experience with other shopping channels of the same retailer, and the Website design are the most cited factors influencing their purchasing decision. Even though findings disclose that respondents do not perceive multichannel integration as a driver of their shopping choices, the qualitative data indicates the existence of a respondents' attitude towards the multichannel integration, measured in this chapter through an exploratory and a confirmatory factor analysis in the quantitative survey.
Development of Zeta Converter for Permanent Magnet Brushless Direct Current Motor
Authors: Uma Maheswari S. , Kandasamy K.V.
Published: June 2014

Converter plays a vital role in modern transferable electronic devices and systems. In the battery operated transferable devices, the battery supplies an input voltage to the converter which in turn converts into the desired voltage. Buck-boost, Cuk, SEPIC and Zeta converter are meeting the operational requirements of DC-DC converters. The DC-DC converters are used in both buck function as well as boost function. But the advantage of Zeta converter is that, it does not suffer the polarity reversal problem. The aim of the proposed work is to design a Zeta converter which can be used to drive the Permanent Magnet Brushless Direct Current Motor. The proposed Zeta converter is suggested to control the speed of the Permanent Magnet Brushless Direct Current Motor, according to the generated switching sequence. The proposed work is generally used for low power applications and occasionally used for medium power applications.
Time Domain Based Digital Controller for Sepic Converter
Authors: Lakshmi S. Vijaya , Raja T. Sree Renga , Sornavadivu R. , Maheswari Lakshmanan , Mani K.R. Vaira
Published: June 2014

This paper presents a discrete PWM controller for SEPIC (Single ended Primary Inductor Converter) converter. SEPIC is chosen since it has positive voltage gain and higher characteristics than any other converter. To improve the transient response and dynamic stability of the proposed converter, Discrete PID controller is the most preferable one. The proposed controller improves the dynamic performance of the SEPIC converter by achieving a robust output voltage against load disturbances, input voltage variations and changes in circuit components. The converter is designed through simulation using MATLAB / Simulink and performance parameters are also measured. The discrete controller is implemented, design goal is achieved and the same is verified against theoretical calculation using LabVIEW.
Keywords: SEPIC converter, Discrete PID Controller, Analog to Digital Converter (ADC), Digital Pulse Width Modulator (DPWM).
Hybrid Anti-Windup Fuzzy PI Controller Based Direct Torque Control of Three Phase Induction Motor
Authors: Pandian A. , Dhanasekaran R.
Published: June 2014

This paper presents improved Fuzzy Logic Controller (FLC) of the Direct Torque Control (DTC) of Three-Phase Induction Motor (IM) for high performance and torque control industrial drive applications. The performance of the IM using PI Controllers and general fuzzy controllers are meager level under load disturbances and transient conditions. The FLC is extended to have a less computational burden which makes it suitable for real time implementation particularly at constant speed and torque disturbance operating conditions. Hybrid control has advantage of integrating a superiority of two or more control techniques for better control performances. A fuzzy controller offers better speed responses for startup and large speed errors. If the nature of the load torque is varied, the steady state speed error of DTC based IM drive with fuzzy logic controller becomes significant. To improve the performance of the system, a new control method, Hybrid fuzzy PI control is proposed. The effectiveness of proposed method is verified by simulation based on MATLAB. The proposed Hybrid fuzzy controller has adaptive control over load toque variation and can maintain constant speed.
Modeling and PID Control of Single Switch Bridgeless SEPIC PFC Converter
Authors: Veenalakshmi S. , Pugazhenthi P. Nedumal , Selvaperumal S.
Published: June 2014

This paper proposes the modeling of Single Ended Primary Inductor Converter (SEPIC) for Power Factor Correction (PFC) and PID control for the converter using various tuning methods. The SEPIC is capable of operating from an input voltage that is greater or less than the regulated output voltage. A small signal dynamic model for SEPIC PFC converter is obtained using state space averaging technique which provides a fifth order transfer function. The complete model of the converter is simulated using MATLAB (SIMULINK). Then the PID controller is designed for the SEPIC PFC converter and various tuning methods were adopted using SISO tool in MATLAB.
Performance Analysis of an Area Efficient and Low Power MOD-R2MDC FFT for MIMO OFDM
Authors: Kavitha G. , Kirthiga B. , Kirubanandasarathy N.
Published: June 2014

In this paper, an area-efficient low power fast fourier transform (FFT) processor is proposed for multi input multi output-orthogonal frequency division multiplexing (MIMO-OFDM) in wireless communication system. It consists of a modified architecture of radix-2 algorithm which is described as modified radix-2 multipath delay commutation (MOD-R2MDC). The OFDM receiver with modified R2MDC (MOD-R2MDC) FFT was designed by Hardware Description Language (HDL) coding The Xilinx ISE Design Suite 10.1 is used as a synthesis tool for getting the power and area. The Model-Sim 6.3c is used for simulation. Also the existing OFDM system has been tested with these FFT algorithms and their performances were analyzed with respect to occupancy area in FPGA and power consumption. A low-power and area efficient architecture enables the real-time operations of MIMO OFDM system.
Fault Tolerant Techniques for Finite Field Multipliers
Authors: Sargunam B. , Dhanasekaran R.
Published: June 2014

The use of finite field multipliers in the critical applications like elliptic curve cryptography needs Concurrent Error Detection (CED) and correction at architectural level to provide high reliability. This paper discusses fault tolerant technique for polynomial representation based finite field multipliers. The detection and correction are done on-line. We use a combination of Double Modular Redundancy (DMR) and Concurrent Error Detection (CED) techniques. The fault tolerant finite field multiplier is coded in VHDL and simulated using Modelsim. Further, the proposed multiplier with fault tolerant capability is synthesized and results are analyzed with respect to area occupied, input and output pin counts and delay. Our technique, when compared with existing techniques, gives better performance. We show that our concurrent error detecting multiplier over GF(2m) requires less than 200% extra hardware, whereas with the traditional fault tolerant techniques, such as Triple Modular Redundancy (TMR), overhead is more than 200%.
Performance Comparison of pH Neutralization Process among Different Tunings of Conventional Controllers
Authors: Dinesh Kumar D. , Deepika D.
Published: June 2014

The primary objective of this research paper is to develop a dynamic nonlinear pH neutralization process model, based on physical and chemical principles that can represent the specific pH neutralization pilot plant. The accuracy of this model should be sufficient to allow development of conventional and advanced control systems through simulation for subsequent implementation and testing on the plant itself. The pH neutralization process is modeled based on the reaction between strong basic solution (NaoH) and strong acidic solution (H2SO4) in Continuous Stirred Tank Reactor (CSTR). From open loop response pH system is considered as First Oder plus Dead time process. Comparison was made between four strategies like ZN, Fruehauf et al, Original IMC and Min ISTSE tuning Methods of PI and PID controllers. From the simulation results Error Indices and Time domain specifications where calculated for different tunings methods of PI and PID controller.
Bioreactor Control Using Fuzzy Logic Controllers
Authors: Arulmozhi N.
Published: June 2014

Bioreactors are characterized by high nonlinearities and are often subjected to parameter uncertainties and disturbances. The control of such processes is often difficult to achieve with traditional linear control techniques. In the present work, a Fuzzy logic controller is designed in two versions to a Bioreactor which exhibits input multiplicities in dilution rate on productivity. Fuzzy controller and Fuzzy tuned PI controller is designed to translate the information obtained from the operator’s experiences for designing an automatic control system The Performance of proposed Fuzzy logic controller versions and conventional PI controller have been analyzed and evaluated. The two Fuzzy controller versions provide stable and faster responses than conventional PI controller. Thus, Fuzzy control is found to overcome the control problems of PI controller due to the input multiplicities near optimal productivity. It is interesting to note that the present fuzzy logic controller is giving superior performance. The process is tested with the MATLAB/SIMULINK and Fuzzy Logic Toolbox. The simulation results were presented which illustrate the validity of the method.
Implementation Analysis of State Space Modelling and Control of Nonlinear Process Using PID Algorithm in MATLAB and PROTEUS Environment
Authors: Prabhakar G. , Pugazhenthi P. Nedumal , Selvaperumal S.
Published: June 2014

The scope of this paper is to look beyond linear solutions and discuss briefly about the recent developments in nonlinear system control & controller tuning methods. An adaptive cruise control model is taken as case study to illustrate the practicality of implementation in the simulation environment in terms of modelling and control of non-linear process. Effort is made to analyse the nonlinear system control in MATLAB and PROTEUS environment.
A Novel Fuzzy Based Control Scheme for Power Quality Enhancement in Grid Connected System
Authors: Muhaidheen M. , Muralidharan S.
Published: June 2014

Today’s modern world, all the frequently using electrical appliances ranging from consumer products to state of the art industrial products exhibits nonlinearity. Due to this the quality of the Grid becomes worse. It also pollutes, electrical point of view, the other healthy systems also. In this connection, various approaches have been put forth to minimize the harmonics in the supply which in turn improve the quality of the power Grid in terms of improving real, reactive power flow and power factor. This paper proposes the novel approach to enhance the power quality in the grid by using simple method to extract the harmonic current compared to time consuming d-q modelling approach. This novel control techniques exhibit excellent dynamic performance, easy to implement, high robustness and stability. The proposed control scheme is verified by comparing its performance with its counterparts. In this connection a testing scheme is developed and tested with the help of MATLAB/SIMULINK package and it agrees in line with our proposed scheme.
A Survey on Smart Grid Distributed Power Flow: IEC61850, IEC 61499 and Intelligent Controls
Authors: Kumar G.S. Satheesh , Nagarajan Chinnadurai , Bagyam M. Lizzy Nesa
Published: June 2014

A Recent concept of distribution infrastructure plays a vital role in the efficient utilization of energy. To avoid global warming and greenhouse gas emission, carbon based power plant should be replaced with distributed renewable energy (DRE) such as wind, solar etc. Renewable energy resources can be integrated to grid by intelligent electronic devices (IED). This paper deals with the novel automation architecture that supports power distribution systems to avoid power blackout and also it briefs the major requirement of the smart grid distribution system needed for a competitive world. International standard IEC 61850 and IEC 61499 provides a solution for substation automation through intelligent logical nodes (ILNs) which enhances interoperability and configurability.Later an open source platform is used for enhancing the communication that automatically generates the data model and communication nodes for intelligent electronic devices.However for future requirements in smart grid, the addition of new functions as well as the adaptation of function for IEDs is necessary. A concept of reconfigurable software architecture is introduced for integrating distributed and renewable energy resources. Such interfaces and services provide adaptation of the functional structure and contribute efficient Smart Grid system. This survey summarizes the communication infrastructure of smart energy system.
Parallel Machine Shop Scheduling Using Memetic Algorithm
Authors: Vairam Senthil , Selladurai V.
Published: June 2014

Parallel machine shop scheduling problem can be stated as finding a schedule for a general task graph to execute on a customed flow so that the schedule length can be minimized. Parallel Flow Shop Scheduling with a case study has been . In this study we present an effective memetic algorithm to solve the problem. Also evaluating the performance of two algorithms (genetic algorithm and memetic algorithm) in terms of both the quality of the solutions produced and the efficiency. These results demonstrate that the memetic algorithm produces better and quality solutions and hence it is very efficient
.
KEY WORDS: Hybrid Flow Shop Scheduling, Multiprocessor, Memetic algorithm.
3D Face Recognition with Occlusions Using Fisher Faces Projection
Authors: Venkatakrishnan Ragu D. , Hariram C. , Anantharaj N. , Muthulakshmi A.
Published: June 2014

In recent years, the 3-D face has become biometric modal, for security applications. Dealing with occlusions covering the facial surface is difficult to handle. Occlusion means blocking of face images by objects such as sun glasses, kerchiefs, hands, hair and so on. Occlusions are occurred by facial expressions, poses also. Basically consider two things: i) Occlusion handling for surface registration and ii). Missing data handling for classification. For registration to use an adaptively-selected-model based registration scheme is used. After registering occlusions are detected and removed. In order to handle the missing data we use a masking strategy call masked projection technique called Fisher faces Projection. Registration based on the adaptively selected model together with the masked analysis offer an occlusion robust face recognition system.
Gait Recognition-A Novel Approach to Quality Improvement in Human Silhouettes
Authors: Fathima S.M.H. Sithi Shameem , Banu R.S.D. Wahida
Published: June 2014

This paper proposes a robust algorithm for the quality improvement in human silhouettes, to improve the gait recognition percentage of a person. In silhouette based gait recognition approach, the presence of incomplete and noisy silhouettes has a direct impact on recognition performance. Using blob detection, initially the incomplete silhouettes are identified. Fusion of frame difference energy image with dominant energy image of a silhouette along with a morphological filter output, preserve the kinetic and kinematic information to make incomplete silhouette into a high quality and a complete silhouette. The results prove that the resultant silhouettes are well suited for human gait recognition algorithm with improved variance. The silhouette database is taken from CASIA database. (Institute of Automation, Chinese Academy of Sciences).
Critical Analysis and Detection of Altered Fingerprints Using Evolutionary Computation Algorithm
Authors: Latha K. , Manikandan C.
Published: June 2014

The widespread operation of modified algorithm (National Institution of Standard Technology Fingerprint image Quality (NIFQ)) in government applications allow some persons with illegal environment by neglecting the detection of altered fingerprints. By using the fingerprint quality assessment software, it is difficult to find the altered fingerprints, since the quality of image does not degrade. This paper focuses on optimizing the modified NFIQ algorithm by implementing particle swarm optimization (PSO) based on a fingerprint identification system. It can also be helpful in improving the performance by accuracy and robustness for detecting the fingerprint which is altered.
Quantifying and Reducing the Signal Noise Using Nonlinear Stochastic Difference Equations
Authors: Elizabeth Sebastian , Jothilakshmi Ramakrishnan
Published: June 2014

This paper deals with quantification of the noise located in the digital signal by an innovative process. This process is associated with the filter that represents the novel information conveyed by the desired signal, residual interference and residual noise which are used to reduce the noise. A typical uniform quantization operation of a sampled signal is identified and interpreted with the framework of stochastic difference equation. A new theorem is proposed with all possible assumptions to support our result to signal noise ratio. AMS [200] Subject Classification: 39A10, 39A30, 39A60, 39B82, 39B99.
Evaluation of Light Inspired Optimization Algorithm-Based Image Retrieval
Authors: Kanimozhi T. , Latha K.
Published: June 2014

Image retrieval system becoming a more popular in all the disciplines of image search. In real-time, interactive image retrieval system has become more accurate, fast and scalable to large collection of image databases. This paper presents a unique method for an image retrieval system based on firefly algorithm, which improve the accuracy and computation time of the image retrieval system. The firefly algorithm is utilized to optimize the image retrieval process via search for nearly optimal combinations between the corresponding features as well as finding out approximate optimized weights for similarities with respect to the features. The proposed method is able to dynamically reflect the user’s intention in the retrieval process by optimizing the objective function. The Efficiency of the proposed method is compared with other existing image retrieval methods through precision and recall. The performance of the method is experimented on the Corel and Caltech database images.
MVEE: A Defence Mechanism against Code Injection Attacks
Authors: Samuel B. John , Gughan M. Raja
Published: June 2014

The growth of interconnected computer increases the amount and obscurity of attacks. Computer systems require apt security mechanism. Intrusion detection and prevention systems play an important part in detecting and preventing the attacks before they conciliate software. Multi-variant execution environment is an intrusion detection and prevention mechanism that executes several slightly different versions of a program, called variants, in concurrency. The variants are defined as more than 2 same instances. These variants contain the same operational unit of the original program. The variants are built to have indistinguishable manners under normal execution environment. If any of the variant is under attack, there are noticeable divergences in their execution behavior. A monitor compares the execution manners of the variants at specific synchronization points and raises an alarm when a variance is detected.
A Novel Dynamic Resilient Ensemble Physical Proximity Resource Management Scheme Adopting for Distributed Environments
Authors: Sivalakshmi M. , Saravanakumar G. , Devi S. Shanthini
Published: June 2014

Heterogeneous grid resources in hand by completely different organization spread throughout the internet or wide area networks. In existing Distributed Hash Table (DHT) is the organization used for that mapping key to the nodes of a network based on a standardized hashing performs. to meet high scalable and dynamism resilient, thence we have a tendency to propose a Grid resource management theme called ranked Cycloid Overlay design (HCO) that\'s data locality-preserving. In HCO, we have a tendency to establish program/data locality by cluster resources based on their physical proximity and practical matching with user application. We have a tendency to any develop dynamism-resilient resource management rule, cluster-token forwarding rule, and deadline-driven resource management algorithms square measure planned. On adopting these algorithms consumes less overhead, speedy, dynamism-resilient multi resource discovery. The well-organized resource cluster, reduces communications price, and enhances resource discovery success rate flexibly extant in large scale applications.
Intelligence Based User Profile Generation
Authors: Ambika Mani , Latha K.
Published: June 2014

Web intelligence provides a platform that empowers internet users to determine the most appropriate and best information for their interests. It provides the ability to sense and adapt to the needs and preference of the user. The recent advancements have made it conceivable to capture the users experience and interactions with web. Consequently predicting users behaviors will expedite and enhance browsing experience. This paper proposes an intelligent approach for making the web more powerful by predicting the conduct of individual users. The main goal is to implicitly construct user profiles using a Particle Swarm Optimization - based technique. We reveal interesting results in comparing with a standard user modeling approach.
A Novel Technique for Solving Hydrothermal Scheduling and Unit Commitment Using Artificial Immune System
Authors: Padmini S. , Jegatheesan R. , Rubini K.
Published: June 2014

This paper presents an artificial immune system algorithm to the short-term hydrothermal scheduling and unit commitment problem. This technique is applied to maximize the profit of Generating Companies (GENCO) which consider the softer demand constraint. A novel method is proposed for solving Hydrothermal Scheduling (HTS) using Artificial Immune System (AIS) in a competitive electricity market. The proposed algorithm is tested on four-hydro and three-thermal system for 12 hours. It is observed from the numerical results that the proposed algorithm provides better profit as compared to the conventional method and hence can be adopted by GENCO. Keywords: Hydrothermal Scheduling (HTS), Artificial Immune System (AIS)
Day and Night Utilization of Solar PV System Integrated with Stand Alone Wind Generator for Real and Reactive Power Management in Three Phase Unbalanced Load
Authors: Vijayarajan Singaraj , Kamaraj N. , Selvaperumal S.
Published: June 2014

Utilizing the renewable energy at consumer side is not required additional transmission capacity. Solar power plant connected with wind generator can support real and reactive power to the unbalance three phase loads. The unbalance load always requires more reactive power compare to balanced load. The reactive power support demand of the unbalanced load is supplied by any conventional FACTS devices. These conventional devices add additional cost and require maintenance also. In this proposed system Voltage Source Inverter (VSI) based solar power plant acts like a STATCOM and reduces the additional cost requirement. The unbalanced three phase load have different reactive power requirement for individual phase. The PWM based FACTS devices supplies only balanced reactive power support irrespective of their requirement. It leads to poor compensation and requires large size of FACTS devices. In this paper the Individual Phase Current sensing method is used and the performance of the system is analyzed for PI controller. The MATLAB simulation verification is presented. Keywords : Solar power plant, Wind power plant, FACTS devices, IPCS, PI, Fuzzy logic.
A Hybrid Optimization Technique for Fault Classification in Power Transformer Using Dissolved Gas Analysis
Authors: Gomathy V. , Sumathi S.
Published: June 2014

To allow utilities to fulfill self-imposed and regulative performance targets the demand for new optimized tools and techniques to Estimate the performance of modern Transformers has increased. The modern power transformers has subjected to different types of faults, which affect the continuity of power supply which in turn causes serious economic losses. To avoid the interruption of power supply, various fault diagnosis approaches are adopted to detect faults in the power transformer and has to eliminate the impacts of the faults at the initial stage. Among the fault diagnosis methods, the hybrid technique of Particle Swarm Optimization (PSO) with Support Vector Machine (SVM) learning algorithm is simple conceptually derived and its implementation process is faster with better scaling properties for complex problems with non linearity and load variations but performance factor related to accuracy has a declined value in case of correlations implicit . In order to obtain better fault diagnosis to improve the service of the power transformer, SVM is optimized with Improved PSO technique to achieve high interpretation accuracy for Dissolved Gas Analysis (DGA) of power transformer through the extracting positive features from both the techniques. Primary SVM is applied to establish classification features for faults in the transformer through DGA. The features are applied as input data to Autonomous optimized Technique for faults analysis. The proposed methodology obtains the DGA data set from diagnostic gas in oil of 500 KV main transformers of Pingguo Substation in South China Electric Power Company. The simulations are carried out in MATLAB software with an Intel core 3 processor with speed of 3 GHZ and 4 GB RAM PC. The result obtained by Autonomous optimized Technique (IPSO-SVM) is compared against PSO-SVM to estimate the performance of the classifiers in terms of execution time and quality of classification for precision. The test results indicate that the Autonomous optimization of IPSO-SVM approach has significantly improved the classification accuracy and computational time for power transformer fault classification. Keywords: Transformer Fault Analysis, Improved Particle Swarm Optimization, Hybrid Optimization, Dissolved Gas Analysis, Support Vector Machine
Distribution System Reconfiguration for Loss Minimization Using Modified Artificial Neural Network Approach of 16 Bus and 33 Bus Standard Test Systems with an Compensator
Authors: Rajaram R. , Kumar K. Sathish , Karthikeyan S. Prabhakar , Belwin J. Edward
Published: June 2014

– This paper presents a new method for identifying the best switching option for the reconfiguration of Radial Distribution Systems (RDS). Feeder reconfiguration is the technique to alter the topological structure of the distribution feeder by changing the open/close status of sectionalizing and tie switches. The reconfiguration involves in selection of the set of sectionalizing switches to be opened and tie switch to be closed such that the resulting RDS has the desirable performance. Amongst the several criteria considered for optimal network configuration, loss minimization criterion is very widely used. In this project a novel method is presented which utilizes feeder reconfiguration as a planning and real time control tool in order to restructure the primary feeders for the loss minimization. The mathematical formulation of the proposed method is given; the solution procedure is illustrated with an example. Owing to the discrete nature of the solution space, a neural network approach for optimal reconfiguration of distribution network is proposed.
Optimization of Exogenous and Endogenous Variables for a Three Column Wind Farm Using CMAES
Authors: Saravanan A.Jeya , Karthikeyan C.P. , Samuel Anand A.
Published: June 2014

Uneven terrains in mountain regions, where wind mills are to be erected cause concerns on the matrix of location, variation in wind direction, wake effects and due to location which may take a toll on efficiency, frequent changes in wind velocity, limitation of the hub height are a fear of the exogenous variables that influence the operation of wind farm. An attempt is made in this work to analyze the effect of those parameters on the efficiency of wind farm. Energy efficiency and exergy efficiency for a three column wind farm are determined and compared. The mathematical model developed considers wake deficit loss, transmission losses and resource losses the loss due to change in the wind direction, overall efficiency factor and locational specifications. A new objective function is derived for the wind farm with multidirectional wind flow and it is solved by Covariant Matrix Adaptation Evolutionary Strategy algorithm. This algorithm is used to maximize the wind farm exergetic efficiency. Location specification is the main variable to optimize and the other dimensionless variables remain same. Exergy efficiency is improved when compared to the reference layouts. The results projected will help the wind farm promoters to optimally utilize the resources to get maximum output.
Exploration of EMI in Buck Boost Converter – A Real Time Approach
Authors: Janaki Gopal , Kumar A. Senthil
Published: June 2014

This paper explores the level of conducted EMI in a buck boost converter under a non linear load condition based on the CISPR 11 / Class A EMC standard. Here, the buck boost converter was designed to produce a constant output voltage irrespective of load conditions. The closed loop control is designed using dsPIC controller. Three different randomization firing schemes are adopted and the EMI analysis in each mode is done experimentally. Also, the results are compared with normal PWM scheme. The experimental result shows that in RPWM scheme the emission levels are comparatively low.
An Intensive Review on the Noninvasive Methods to Measure the Urinary Bladder Volume Using Ultrasound Images
Authors: Padmapriya B. , Kesavamurthy T. , Thamalari Selvi M.S. , Gayathri A.
Published: June 2014

Ultrasound is an important diagnostic tool in distinguishing interfaces between soft tissues, especially abdominal structures. Diagnostic ultrasound is used for the detection of cysts, tumors or cancers present in the abdomen. Bladder cancer is one of the common types of cancer nowadays. The volume of the bladder is less in case of presence of cyst, tumors or cancers. Considering the importance of measurement of volume of the urinary bladder, various invasive and noninvasive methods are discussed in this article. The invasive method has many disadvantages. Hence this article encompasses the various noninvasive methods and its implementation using imaging techniques are discussed. The imaging techniques include Prolate Ellipsoid Method, Double Area Method and Double Ellipsoid Method. The methodology which is being generally used to calculate the volume of the urinary bladder is Prolate Ellipsoid Method. The accuracy of the above mentioned methods is reported with relatively larger errors of about 60%. The accuracy can be increased by incorporating sophisticated, expensive 3D software packages and imaging tools.
A Novel Efficient Approach for the Screening of New Abnormal Blood Vessels in Color Fundus Images
Authors: Ramasubramanian B. , Selvaperumal S.
Published: June 2014

Reliable detection of abnormal vessels in color fundus image is still a great issue in medical image processing. An Efficient and robust approach for automatic detection of abnormal blood vessels in digital color fundus images is presented in this paper. First, the fundus images are preprocessed by applying a 3x3 median filter. Then, the images are segmented using a novel morphological operation. To classify these segmented image into normal and abnormal, seven features based on shape, contrast, position and density are extracted. Finally, these features are classified using a non-linear Support Vector Machine (SVM) Classifier. The average computation time for blood vessel detection was less than 2.4sec with a success rate of 99%. The performance of our proposed method is measured on publically available DRIVE and STARE database.
Optrode Based Polymer for the Estimation of Free Chlorine
Authors: Sivakamasundari N. , Bharathi N. , Neena Sruthi A.R. , Ganesh A. Balaji
Published: June 2014

This paper describes the construction of low cost optical fiber sensor for the measurement of free chlorine and also residuals. The granules of poly (norborene) s bound with Cyanuric acid are synthesized as polymer film and applied on glass surface, which is used as sensing membrane. The prepared sensor membrane has a good photochemical stability and it would not leach out by continuous exposure to sample solution. The film is used to measure the changes in the absorbance intensity as a result of reaction between Cyanuric acid and free chlorine. The chlorine is used for the destruction of microbiological pathogens to protect the public health from water-borne diseases. This experiment was conducted for various chlorine samples. The sensor possess good repeatability with the range from 1.0 mg/l to 9.0 mg/l with minimal response time and also shows the characteristics such as reproducibility and stable results for more than 70 samples with a period of 5 days.
State and Input Observer Design for Nonlinear Impulsive Systems via LMI Approach
Authors: Shao Tian , Peng Ke , Chen Zhi Sheng , Liu Yan Jun
Published: June 2014

This paper addresses the observer design for simultaneously estimating the state and input of a class of impulsive systems whose nonlinear terms satisfy an incremental quadratic constraint. By employing Lyapunov theory, sufficient conditions for asymptotical and exponential estimation convergence are derived. Gain matrices of the proposed observer can be obtained by solving linear matrix inequalities (LMIs).
A Design of WSN and EPON Applied in Online Monitoring for Transmission Line
Authors: Chen Xu , Du Zhe , Yin Xiang Gen , Pan Wei , Xu Li Qiang
Published: June 2014

Natural disasters like icing have a strong impact on the power transmission line which is the foundation of safety and stability operation for power system. In this paper, an online transmission line monitoring and patrol system based on Wireless Sensor Network (WSN) and Ethernet Passive Network (EPON) is firstly designed and a model is built to analyze the latency influenced by the number of towers using EPON communication technology which is solved by Lingo 11.
Does Trade Liberalization Improve the Environment in China? Evidence Form the Dynamic Panel Data of Chinese Prefecture City
Authors: Hong Li Ming
Published: June 2014

This paper employ GMM method introduced in [1] to reevaluate the environment effect of trade liberalization based on the dynamic panel data from Chinese Prefecture City during 1995-2010. We found that trade openness improve the environment quality measured by So2 emissions per capita, emission intensity of so2 and soot while no evidence in Soot emissions per capita. Specifically, even though the effect of import on environment is short-term and unsustainable, the export improve the environment more and more over time. Therefore the environment in China benefit from the trade liberalization regime and export-oriented strategy. In addition, this paper found the evidence of environmental Kuznets Curve and pollution haven hypothesis in some environment index.
The Improvement of Passive Location Algorithm Based on Time Sequence Estimation
Authors: Bai Hua Wei , Wang Yu Wen , Jiang Yu
Published: June 2014

The multi station time difference sequence of arrival method is a kind of passive location method for pulse radiation source. It takes the advantage of mass time difference information obtained in a very short time to locate the radiation source. This paper models the time difference sequence of arrival process and estimates the time difference according to the characteristic of the time difference sequence. The simulation results show that, the localization after time sequence estimation algorithm can achieve higher positioning accuracy.
A Mixed Scheduling Algorithm about Hard Periodic and Soft Aperiodic Real-Time Tasks on Heterogeneous Multiprocessor
Authors: Wang Hui , Xu Cheng , Zeng Li Ning , Liu Yan
Published: June 2014

This paper studies the problem about scheduling composition of periodic real-time tasks and aperiodic soft real-time tasks in heterogeneous multiprocessor environment. It analyzes the response time of each task in periodic real-time task set and the influence factor about the response time of aperiodic soft real-time task. We use a new mixed scheduling algorithm--UEDF and Task-Centric with Slack Defragmentation algorithm (TCSD) to schedule hybrid task set which consist of the periodic real-time tasks and aperiodic soft real-time tasks. It can improve the timeliness of aperiodic soft real-time tasks response, so the ratio of aperiodic tasks to meet soft deadline will increase.
Vortex Generators Contribution to the Enhancement of the Aerodynamic Performances
Authors: Tebbiche Hocine , Boutoudj Mohamed S.
Published: June 2014

This study interest flow control using a new vortex generators (VGs) shape with counter-rotating vortices, obtained by adding a new element to a configuration mostly investigated. The experiments were performed in the aim to determine the VGs answer when placed on the suction face at 10% from the leading edge of an airfoil Naca 0015 in order to improve the lift and drag coefficients. The investigations were accomplished in wind tunnel for two Reynolds numbers and geometrical vortex generators configurations. The obtained results are analyzed according to several parameters such as the VG height, the space between the same VG pair and the additional factor. The results show a profit brought by the passive devices estimated at about 28% of the CL/Cd ratio.
Multimedia Technology Used to Reduce Costs and Time
Authors: Kawamoto Júnior Luiz Teruo , Kawamot Waltraudi Orchulhak
Published: June 2014

Safety procedures are explained during lectures in basic scuba diving courses, but these rules are often counterintuitive and difficult to remember; many accidents occur because divers do not put into practice what they have been taught. Diving accidents are at higher growth than the growth of activity in the world. This research used multimedia in a virtual environment to detect safety aspects of diving more forgetful among experienced scuba divers. This way it is possible to develop courses more effectively: less cost and time spent and lower accident rate. Were discovered the safety procedures recreational scuba divers more unknown among accredited divers. The results showed a large number of errors on all items in particular on the system to keep in pairs. Thus it becomes possible to improve diving courses and/or briefings before dives emphasizing these items, reducing cost and time. As a suggestion for future research, to find ways to improve the performance of divers in case of emergencies, through awareness, education and behavior.
Virtual Multimedia Environment to Teach Safety Procedures in Laboratories
Authors: Candiago Alex , Kawamoto Júnior Luiz Teruo
Published: June 2014

The use of laboratories is important to teach several subjects, but the students are susceptible to accidents. Therefore a virtual 3D environment in first-person that presents several emergency situations that can occur during a practical class in a laboratory will be developed and validated. The software UDK Engine 3, Maya 2013, Photoshop CS5, ShaderMap Pro, Zbrush 4r3 and Adobe Flash 11 were used. The safety procedures adopted were the standards of the Regulating Rules of the Ministry of Labor and of the Brazilian Association of Technical Standards (ABNT) and of the Environmental Protection Agency - EPA. The evaluation was done with a group of 30 students regarding interfaces and realism, and with a group of 30 laboratory practices professors regarding the concepts presented. The results showed a great approval between the two groups and in the next phase of the research a validation will be done regarding the learning of the safety procedures by the students in the virtual environment in comparison to a conventional class.
The Study of Chopper in the LVRT of Direct-Drive Wind Energy Generation System
Authors: Jia Jun , Hu Xin Xin , Han Ping Ping , Hu Yan Ping
Published: June 2014

With the scale of wind farm continuously increasing, when grid fault, the influences of the wind turbines connected to the grid on the stability of the power grid can never be ignored. Therefore, there are higher standards of the wind turbines’ abilities of fault ride-through (FRT) and producing reactive power. This paper studies the direct-drive wind power system, and the main point is the fault ride-through (FRT) of the permanent magnetic synchronous generator (PMSG) with Chopper. By establishing the dynamic model of PMSG under the environment of DigSILENT, this paper simulates the fault ride-through (FRT) of the direct-drive wind power system connecting into power grid. During the research, we focus on the stability of voltage about the Chopper to the DC bus under faults. What’s more, in this paper, we analysis the data about how the Chopper help the DC bus to improve its stability. The simulation results show that: when there is a fault on the point of common coupling, the permanent magnetic synchronous generator has the capability of fault ride-through (FRT). Especially when there is a voltage dip on the grid side, the permanent magnetic synchronous generator could produce reactive power for power grid, effectively preventing the system voltage from declining seriously, so as to improve the system stability under faults.
Flow Measurement and Control System in the Campus Network
Authors: Zhang Qiu Xia , Song Chao
Published: June 2014

A campus network traffic monitoring and control systems, the use of P2P software as an application in the form of a new campus network, to break the existing information services on the Internet is mainly used in the client / server model, P2P applications can accurately identify the flow control device, on the campus network bandwidth rational planning and adjustment of P2P traffic bandwidth limitations and management, improve the quality of Internet users.
Effects of Water on the Morphology of Wool Scales
Authors: Ning Fang Gang , Wang Jun , Yu Wei Dong
Published: June 2014

The aim of this study was to investigate the water effects on the scales behavior through experiments and observation by SFM and AFM. For this purpose, a detailed investigation on the role of water, PH, and treat time were investigated. After this, a model was built to discuss the swelling and upward of the wet scales. For the scales is the element factor for shrinking, so this study is of great significance to the work of shrinkproofing.
Reconstruction of Bottom Surface of Shoe Last Based on Foot Pressure Distribution
Authors: He Xu Nan , Qi Xiao Ye
Published: June 2014

The thesis presents a reconstruction of bottom surface of shoe last based on foot pressure distribution in order to relieve the influence caused by plantar pressure concentration. First, in order to match the plantar pressure data and the shoe last data, the shoe last data is processed to locate the center location of the heel, the sole and the big feet thumb. Then the pressure data is also processed to extract the corresponding data which is interpolated and fitted of the area of the heel, the sole and the big feet thumb. and then the establish area of bottom surface is determined depending on the pressure data of three area. Finally, based on the extracted pressure data and the convex-concave coefficient of pressure data, the reconstruction of bottom surface of shoe last is achieved.
Preparation, Characterization, and Photocatalytic Performance of Bismuth and Boron Co-Doped Mesporous TiO2 by EISA Method
Authors: Zhang Yu Xiu , Yang Li , Chen Dai Mei , Deng Shuang , Shi Ying Jie
Published: June 2014

Abstract. The large-pore mesoporous Bi-B-TiO2 nanoparticles with the different Bi/Ti rations were prepared by EISA(evaporation-induced self-assembly) method. The prepared catalysts were characterized by X-ray diffraction, transmission electron microscopy, N2 absorption-desorption, ultraviolet visible light spectroscopy and photoluminescence spectroscopy technologies. The results revealed that all the samples are large aperture mesoporous structures. The crystallite sizes were in the range7-11nm, as confirmed by the results obtained from TEM images. The photodecomposition experiments showed that the photodegradation activity of Bi-B-doped TiO2 was higher than that of undoped TiO2 in degradation of 2, 4–dichlorophenol under visible light irradiation.
Study on the EBG Structure Absorbing Composites
Authors: Jia Ying , Hou Ruo Meng , Tian Hong Ning , Zhao Hou Sui , Xu Hu
Published: June 2014

Two different types of carbon-based composites are made, to measure their electromagnetic parameters through experiments, which are applied to the construction of high impedance surface electromagnetic band gap absorbing structure. Then, through the application of electromagnetic simulation software HFSSv.11 the reflection coefficients of the models are measured as the electromagnetic frequency changes. The research shows that the application of carbon-based composites can improve the EBG absorbing structure, thus having such functions as heat resistance, corrosion resistance, light weight and high tensile strength. Therefore, it is feasible to apply the carbon-based composite to the EBG absorbing structure to improve its performance.