MANUSCRIPT TITLE: Performance Analysis Of Wind Turbine Driven Self-Excited Induction Generator With External Rotor Capacitance

AUTHORS: Swati Devabhaktuni*, S.V.Jayaram kumar

ABSTRACT: The influence of external rotor capacitance on the steady state and dynamic performance of a three phase self-excited induction generator driven wind turbine is explored in this paper. Attention is focused on the influence of external rotor capacitance on generator voltage and output power capabilities. The generated voltage of the wind driven self – excited induction generator (SEIG) is mainly depending on the wind velocity fluctuations and load variations. By choosing the proper value of the self excitation capacitor banks achieves the reactive power requirements. In case of wound rotor induction generator only the excitation capacitance at stator is used to achieve the reactive power requirements. But in case of slip ring induction generators an external capacitance along with the excitation capacitance are used to achieve the reactive power requirements and even there is an improvement in the build up voltage is also observed. In previous literature there is no discussion about the external rotor capacitance and its effects on the induction generator. This is the new method proposed for the improvement in voltage build up and can also controls the slip. MATLAB/simulink based work is carried out for 3 hp machine. Proposed method may be used for low cost variable speed wind energy conversion systems

KEYWORDS: slip ring,self excited induction generator,external rotor capacitance,voltage variation.

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MANUSCRIPT TITLE: Detection of Denial of Service threats by snaring with bait links

AUTHORS: P.Ravi Kiran Varma*, A.Bhanu Kiran, D.Dhupati Sunitha

ABSTRACT: There are many organizations in the globe which solely rely on online data inputs for their daily work and progress. With the motive to clog a web service, DoS (denial-of-service) attacks are being monitored by individual persons. By doing so, the online access for such web-based companies will be cut off, thereby leading to severe backdrops. Moreover, the bandwidth attacks prove to be even more adverse, where the attackers attempt to jam the routers or their links, thereby creating huge traffic overloads, which eventually break down the online access. Keeping all these ill-effects in the front, this paper tends to bring forward a unique proposal for efficient detection of such disruptive mechanisms (specially, the DoS attacks) and gauge them by means of hidden bait links which are implanted in web pages. These baits act like snares and keep the user informed about any DoS attacks. This strategy has proven to be much more advantageous over the other existing approaches such as graphic tuning tests and has survived with positive results when tested and evaluated using real as well as simulated websites, with less than 10-4 incorrect affirmative rates. The various aspects of this new approach have been detailed, with experimental results

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MANUSCRIPT TITLE: Stock Prediction using Neural Network

AUTHORS: B. Manjula*, S.S.V.N. Sarma, R. Lakshman Naik, G. Shruthi

ABSTRACT: Today neural networks have been integrated into most fields and are a very important analytical tool. Neural networks are trained without the restriction of a model to derive parameters and discover relationships, driven and shaped solely by the nature of the data. This has profound implications and applicability to the finance field. Multilayer neural network has been successfully applied to the time series forecasting. Steepest descend, a popular learning algorithm for back propagation network, converges slowly and has the difficulty in determining the network parameters. In fact, artificial neural networks have been widely used for forecasting financial markets. However, such applications to Indian stock markets are scarce. This paper applies neural network models to predict the daily returns of the BSE (Bombay Stock Exchange) Sensex. Multilayer perceptron network is used to build the daily return's model and the network is trained using Multiple linear regression (MLR) provides a better alternative for weight initialization. It is found that the predictive power of the network model is influenced by the previous day's return than the first three-day's inputs. The study shows that satisfactory results can be achieved when applying neural networks to predict the BSE Sensex. However, the proposed Multilayer perceptron network with MLR weight initialization requires a lower computation cost and learns better than steepest decent with random initialization

KEYWORDS: Artificial Neural network; Stock prediction; Multilayer perceptron network; MLR weight initialization

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MANUSCRIPT TITLE: DESIGN OF 1-BIT FULL ADDER FOR LOW POWER APPLICATIONS

AUTHORS: Praveer Saxena*, Dinesh Chandra, Sampath Kumar V

ABSTRACT: An adder is an important element of all the arithmetic and logic units. The recent trends in VLSI are moving towards the need of the devices, which consume low power. The logic circuits based on adiabatic logic are potential candidates for low power applications. In this paper, we have designed a 1-bit full adder using several existing adiabatic logic styles: 1n1p split level pulse adiabatic logic, 1n1p quasi adiabatic logic, and Glitch free and cascadable adiabatic logic. The full adders are designed using 180nm technology parameters provided by predictive technology and simulated using HSPICE. The full adders designed are compared on the basis of transistor counts to implement the full adder, propagation delay and the average power consumed by them for different values of load capacitance and input frequency. The results are also compared with full adder designed with static CMOS. It is observed that, full adders designed with adiabatic logic styles consume very low power in comparison to full adder designed with static CMOS logic. It is observed that, saving in power comes at the expense of increased propagation delay. Under certain operating conditions, one of adiabatic designs of full adder achieves upto 89% power saving in comparison to the full adder designed with static CMOS logic.

KEYWORDS: adiabatic, energy recovery, low power, full adder

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MANUSCRIPT TITLE: Efficient Identification of Facial Expressions through Eigen Faces

AUTHORS: D.Aju*, Anisha M Lal, Raj Sudheer Dangeti

ABSTRACT: Security systems, monitoring systems and biometrics have become indispensible in the recent times and a major emphasis has been placed on to the development of effective and robust algorithms in the allied fields like acoustic finger print, retina scanning, finger print analysis and face recognition. Indeed, there is an emerging need for such algorithms which is cost effective and easy-to-use in this scenario. It has become imperative that efficient algorithms are developed to cater to the needs of such security systems. This paper proposes an intelligent approach to identify the facial expressions through eigenfaces which manipulates with the Eigen values for the identification. From the experiment, it is found that the proposed scheme furnishes 97% recognition rate with an overwhelming average time of less than 1 second.

KEYWORDS: component; formatting; style; styling; insert (key words)

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MANUSCRIPT TITLE: Forecasting Exchange Rates of Bangladesh using ANN and ARIMA Models: A Comparative Study

AUTHORS: Abul Kalam Azad*, Md. Mahsin

ABSTRACT: The forecasting of exchange rates is a challenging task in many business related areas and in such cases, time series models have successfully been used in recent years. The aim of this paper is to predict the monthly average exchange rates of Bangladesh using artificial neural network (ANN) and autoregressive integrated moving average (ARIMA) models. A feedforward multilayer neural network namely, exchange rate neural network (ERNN), has been developed and trained using backpropagation learning algorithm. The effect of different network and tuning parameters has been examined during training session. The ARIMA model has been executed using Box-Jenkins methodology to obtain the appropriate model. The performance of ERNN and ARIMA models has been evaluated by means of mean absolute error (MAE), root mean squared error (RMSE) and mean absolute percentage error (MAPE). The results show that the ANN model has better predictability than the ARIMA model.

KEYWORDS: Exchange Rates, Forecasting, Artificial Neural Network, Backpropagation Algorithm, ARIMA, Box-Jenkins Methodology.

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MANUSCRIPT TITLE: HIGH POWER LUO CONVERTER WITH VOLTAGE LIFT FOR STAND ALONE PHOTOVOLTAIC SYSTEM

AUTHORS: Mrs.G.shasikala*, Mrs.R.Chandralekha, Mrs.C.Sasikala

ABSTRACT: With the rapid depletion of the conventional fossil fuels, energy crisis and environmental pollution become more serious. In recent years much effort has been made to find renewable clean energies in the countries all over the world and solar energy is found to be such an ideal and durable one. The solar energy will play an important role in alleviating the energy crisis, reducing the environmental pollution and improving the greenhouse effect. In photovoltaic arrays, cells are conventionally connected in series to obtain the desired voltage. DC to DC step-up converters are widely used in solar energy conversion systems. In recent years the DC-DC conversion technique has been greatly developed. The main objective is to reach a high-efficiency, high power density and cheap topology in simple structure. The boost and Luo converters are normally used to convert low voltage dc in to high voltage dc. But these converters are not stable in voltage lift and less reliability. The voltage lift technique is a popular method that is widely applied in PV cell based electronic circuit design. Because of the effect of parasitic elements the output voltage and power transfer efficiency of DC-DC converters are limited. The voltage lift technique opens a good way to improve circuit characteristics. After long-term research, this technique has been successfully applied for DC-DC converters. Positive output Luo converters are a series of new DC-DC step-up (boost) converters, which were developed from prototypes using voltage lift technique. These converters perform positive to positive DC-DC voltage increasing conversion with high power density, high efficiency and cheap topology in simple structure. They are different from other existing DC-DC step-up converters and possess many advantages including a high output voltage with small ripples. The Proposed Luo converter is simulated in the MATLAB/Simulink and its results are to be validated with laboratory experimental set up

KEYWORDS: Luo converter,MPPT-maximum power point tracking, Continuous -conduction-mode(CCM), discontinuous- conduction-mode (DCM).

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MANUSCRIPT TITLE: Simulation and Modeling of Hydro Power Plant to Study Time Response during Different Gate States

AUTHORS: Gagan Singh*, D.S. Chauhan

ABSTRACT: The asynchronous conditions of Hydro Power Plant depends upon the speed variation in Turbine-Generator set, which is effected by the Gate States of Hydraulic Turbine. To find out the dynamic response to gate input. Linear time invariant model of gate, penstock, turbine and generator are integrated to represent a hydro power plant. The different inputs such as step, ramp and exponential are used to simulate the dynamic response of the system. This model is helpful to determine the change in power and speed with respect to gate positions. The operating parameters of a hydro plant can be determined by this model

KEYWORDS: Hydro Power Plant, turbine, penstock, simulation, modeling

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MANUSCRIPT TITLE: Parallel Architecture for Implementation of Contrast Limited Adaptive Histogram Equalization

AUTHORS: P.Ravi Sankar*, B.K.N. Srinivasa Rao

ABSTRACT: Contrast limited adaptive histogram equalization (CLAHE) is a technique to enhance the visibility of local details of an image by increasing the contrast in local regions. In CLAHE, the enhancement is controlled to avoid excess amplification of the noises in the local regions. CLAHE computes several histograms of intensity values, each corresponding to a distinct region of the image, distributes the histograms to avoid the excess amplification, and remaps the intensity values using the distributed histograms. In this paper, we propose a parallel architecture for real-time implementation of CLAHE using an FPGA. The proposed system performs, (1) Entire image is divided in to non-overlapping 8x8 sub blocks (2) CLAHE is applied for each sub block (3) to avoid the blocking artifacts between the blocks bi-linear interpolation has been performed.

KEYWORDS: contrast enhancement; CLAHE; parallel architecture; FPGA)

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MANUSCRIPT TITLE: PERFORMANCE COMPARISON OF MOBILITY MANAGEMENT IN MOBILEIP NETWORKS

AUTHORS: RAJASEKHAR.SWARNA*, K.H.VIJAYAKUMARI

ABSTRACT: In wireless networks, efficient management of mobility is a crucial issue to support mobile users. The Mobile Internet Protocol (MIP) has been proposed to support global mobility in IP networks. Several mobility management strategies have been proposed which aim reducing the signaling traffic related to the Mobile Terminals (MTs) registration with the Home Agents (HAs) whenever their Care-of-Addresses (CoAs) change. They use different Foreign Agents (FAs) and Gateway FAs (GFAs) hierarchies to concentrate the registration processes. For high-mobility MTs, the Hierarchical MIP (HMIP) and Dynamic HMIP (DHMIP) strategies localize the registration in FAs and GFAs, yielding to high-mobility signaling. The Multicast HMIP strategy limits the registration processes in the GFAs. For high-mobility MTs, it provides lowest mobility signaling delay compared to the HMIP and DHMIP approaches. However, it is resource consuming strategy unless for frequent MT mobility. Hence, we propose an analytic model to evaluate the mean signaling delay and the mean bandwidth per call according to the type of MT mobility. In our analysis, the MHMIP outperforms the DHMIP and MIP strategies in almost all the studied cases. The main contribution of this paper is the analytic model that allows the mobility management approaches performance evaluation.

KEYWORDS: Mobile IP, mobility approach, performance evaluation

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MANUSCRIPT TITLE: EFFECT OF COOLING FLUID ON THE ENGINE CAVITATION CONSIDERING PISTON-CYLINDER ASSEMBLY FORCES

AUTHORS: Sushant Subhash Bhansali*, Chaitanya Shrivastava, Satyashree Ghodke, Prasad Hatwalne

ABSTRACT: Cavitation is not reversible. As you might guess, when systems in an engine mix when they are not supposed to, the results can be disastrous. When you are struck by cavitation you get fuel/oil in your coolant, coolant in your oil, a hydro-locked piston, perhaps a bent rod, ruined bearings, ruined injector, and a lot of work needing to be done to fix it all. Once it has begun to eat metal away. Due to cavitation, the pitting and cavitations problems in internal combustion engine are receiving considerable attention. In this paper, both theoretical and simulation studies are carried out in order to understand the noise and vibration sources. Theoretical aspects of this work deals with various types of cavitation, how they affect the cylinder and for simulation work, the main aim is to actually study these vibrations and try to model it. A foundation is also laid to study cavitations in the engine. A model to calculate pressure variation in the system is carried out using Modeling software, with the help of Finite Element Analysis and Fluid Structure Interaction Analysis. Some important results have been shown with the negative pressures loading to the fact that the developed models predict the presence of cavitation in the cylinder liner surface, stressing the importance of improving the piston and cylinder liner design.

KEYWORDS: Cavitation, cooling fluid, internal combustion diesel engine, Ansys, Fluid Structure Interaction

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MANUSCRIPT TITLE: Unsteady Modeling of Electrokinetic Flow in a Nanochannel with Large Zeta Potential

AUTHORS: Mehdi Mostofi*

ABSTRACT: In this paper, electrokinetic flow in a nanochannel is investigated. Electrokinetic phenomena occur in existence of double electric layer (EDL). Governing equations are conservation of species, conservation of mass and Poisson- Boltzmann and Navier-Stokes equations. Flow is assumed to be unsteady and the electric potential in the inner layer which is called Zeta potential is large enough, so that, analytical solution is no longer valid. Numerical approach is employed in order to solve the equations. Results show that, the more the electrical field is used, the greater the zeta potential and free stream velocity is obtained.

KEYWORDS: electrokinetics; nanochannel; large zeta potential; unsteady; (key words)

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MANUSCRIPT TITLE: Flexural Charecteristic Study of RCC Beams Retrofitted using Vinyl Ester Bonded GFRP and Epoxy Bonded GFRP

AUTHORS: Mrs. Tara Sen*, Dr.H.N.Jagannatha Reddy, Miss Shubhalakshmi B.S.

ABSTRACT: Many of the existing reinforced concrete structures throughout the world are in urgent need of rehabilitation, repair or reconstruction because of deterioration due to various factors like corrosion, lack of detailing, failure of bonding between beam-column joints, increase in service loads, etc., leading to cracking, spalling, loss of strength, deflection, etc. The recent developments in the application of the advanced composites in the construction industry for concrete rehabilitation and strengthening are increasing on the basis of specific requirements, national needs and industry participation. The need for efficient rehabilitation and strengthening techniques of existing concrete structures has resulted in research and development of composite strengthening systems. Fiber Reinforced Polymer (FRP) composite has been accepted in the construction industry as a promising substitute for repairing and in incrementing the strength of RCC structures. FRP composites possess some outstanding properties such as: resistance to corrosion, good fatigue and damping resistance, high strength to weight ratio, and electromagnetic transparency. FRPs over the years have gained respect in terms of its superior performance and versatility and now are being used not only in housing industry but its potentials are being continuously explored for its use in retro-fitting and strengthening of damaged structural members. This paper focuses exclusively on flexural behaviour of RCC beams and the Vinyl-Ester bonded GFRP and Epoxy bonded GFRP wrapped retrofitted RCC beams. Beams were retrofitted with 1.2 mm Epoxy bonded GFRP sheets and 0.9 mm Vinyl-Ester bonded GFRP sheets using epoxy resins. In all a total of 28 beams were tested and the respective readings were recorded. The beams were full-wrapped and strip-wrapped and tested for flexure behavior analysis. Cracking and deflection of GFRP reinforced concrete beams are analyzed experimentally. The ductility ratios of the various beams were also found and a comparative study was made to conclude that the use of GFRP sheets increases the ductility of a structure. It was concluded that the wrapping of GFRP sheets increases the ultimate load carrying capacity of RCC beams. Also a cost analysis was done in order to get a cost effective solution for the issue of retrofitting, which is a rising concern in the recent times

KEYWORDS: Sisal fibres, retrofitting, finite element analysis,

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MANUSCRIPT TITLE: Economic aspects of PQ Disturbances in India

AUTHORS: A.N.Malleswara Rao*, Dr. K. Ramesh Reddy, Dr. B.V.Sanker Ram

ABSTRACT: Electricity has gained greater importance in the last two decades. The customers use more sensitive and sophisticated electronic devices which demand a reliable high quality power supply. These devices produce distortions in the power supply due to their nonlinear characteristics. In this paper, a comprehensive investigation on power quality (PQ) related problems, as experienced by the customers in different countries of the world, are highlighted. Also, an investigation is done to find out the technical and economical consequences of poor power quality. At present, no definite standard is available concerning various power quality aspects at the point of connection (POC). Therefore, it is a dilemma for the network operators, the customers and the equipment manufacturers, how to share the responsibility at the POC where they meet each other. As the consequences of poor power quality might have large financial impacts, more initiatives are expected from the regulators and the connected parties to take corrective actions for maintaining better quality of the power supply at the POC.

KEYWORDS: power quality, point of connection, sensitive devices, responsibility sharing, standard

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MANUSCRIPT TITLE: ADVANCEMENT REPRESENTATION FOR EVALUATE APPLICATION IN A WEB FLATTERER

AUTHORS: MD.Ameer Raza*, S.Narayana

ABSTRACT: Discovering the Web in search of relevant information is a difficult task due to the vast amount of documents it stores and to the heterogeneity of such documents. Using automated systems such as search engines help users Scope with the size of the Web. However the results produced by these systems usually contain documents from a large variety of topics with little or no bearing to the end user. In this work, we propose a model that can be used by a Web spider to discerning explore the Web for relevant documents. In this model, two criteria are used for assessing document relevance, content and structure. These two criteria are integrated in a fuzzy predicate that indicates the degree of relevance of a document with respect to a user-defined topic. The parameters of the proposed model are generated by a algorithm that solves a bi-criteria optimization problem. This model also gives ranking for indexed pages in the order of relevance with respect to the search criteria. Query executing time is also displayed in the order milli-seconds duration

KEYWORDS: Fuzzy, MCDA, Web Crawler ,Information Retrieval, Evolutionary algorithms. Web Flatterer

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MANUSCRIPT TITLE: Channel Capacity of MIMO with CSI available at the Transmitter

AUTHORS: M.Ajaybabu*, P.Satyanarayanan, Dr. S. Sri Gowri

ABSTRACT: During the last decade, the demand for capacity in wireless local area networks and cellular mobile systems has grown in a literally explosive manner. In particular, compared to the data rates made available by today‟s technology, the need for wireless Internet access and multimedia applications require an increase in information throughput with order of magnitude. One major technological breakthrough that will make this increase in data rate possible is the use of multiple antennas at the transmitters and receivers in the system. In this paper the ergodic capacity has been used as measure for the spectral efficiency of MIMO channel.. MIMO channel capacities with and without CSI at the transmitter are presented and simulated using MATLAB. We have also simulated MIMO channel capacity in the presence of antenna correlation effect

KEYWORDS: MIMO(Multi input Multi output), CSI(channel state Information),MISO, SIMO, SNR, capacity, correlation

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MANUSCRIPT TITLE: Continuous Monitoring of Spatial Queries In Wireless Broadcast Environments

AUTHORS: G Swetha*, G Gopi Krishna

ABSTRACT: Wireless data broadcast is a promising technique for information dissemination that leverages the computational capabilities of the mobile devices in order to enhance the scalability of the system. Under this environment, the data are continuously broadcast by the server, interleaved with some indexing information for query processing. Clients may then tune in the broadcast channel and process their queries locally without contacting the server. Previous work on spatial query processing for wireless broadcast systems has only considered snapshot queries over static data. In this paper, we propose an air indexing framework that 1) Out performs the existing (i.e. snapshot) techniques in terms of energy consumption while achieving low access latency and 2) Constitute the first method supporting efficient processing of continuous spatial queries over moving objects

KEYWORDS: Spatial databases, query processing, location-based services, wireless data broadcast, air indexes

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MANUSCRIPT TITLE: Fuzzy Logic Based Intelligent Controller Design for an Injection Mould Machine Process Control

AUTHORS: Dr. I Santi Prabha*, K Durga Rao, D Siva Rama Krishna

ABSTRACT: This paper is an original philosophy of analyzing the importance of fuzzy logic based intelligent concepts in the design of the temperature process controller for an injection mould machine. An injection mould machine is a basic requirement of every plastic, rubber etc.., process industries to mould the items to the desired shapes by the application of proper temperatures. So, it is very intended to maintain these desired temperatures. Conventionally, PID controller is used as an industrial process controller, but this offers a major constraint in the selection of controller gains. Also, it may not produce satisfactory results when used as a temperature process controller because, the temperature process has the characteristics of non-linearity, large inertia and time variations. Hence, recent research should go on finding the feasible methods to achieve this. With this aspect, this paper proposes such an effective controller design by introducing fuzzy logic based intelligent concepts in the designing of temperature process controller and/or setting up the optimum values for the controller gains namely Proportional, Integral and Derivative gains. So, this paper drafts the performance analysis of conventional PID controller versus proposed Fuzzy based controller designs. The entire system is modeled using MATLAB/SIMULINK and the simulation results show that the proposed controller has good robustness, rapidity and good dynamic performance

KEYWORDS: Injection Mould Machine, Temperature Process Control, PID controller, Fuzzy Logic Controller, Fuzzy-PID Controller, Dynamic performance analysis, Matlab/ Simulink

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MANUSCRIPT TITLE: Optimal Routing and Data Aggregation for Maximizing the Network Lifetime of Wireless Sensors

AUTHORS: Lata M Talwar*

ABSTRACT: In this paper, we focus on maximizing the network lifetime of wireless sensor networks using both maximum lifetime routing algorithm and smoothing function. An optimal routing and data aggregation scheme for wireless sensor networks is proposed. The objective is to maximize the network lifetime by jointly optimizing data aggregation and routing by adopting a model to integrate data aggregation with the underlying routing scheme and propose a smoothing function to maximum lifetime network. These algorithms show that they significantly reduce the data traffic and improve the network lifetime.

KEYWORDS: Sensor networks, Data Aggregation, Maximum lifetime routing, Smoothing function, Network Lifetime

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MANUSCRIPT TITLE: Identification of Options of Demand Response Using Load Pattern Diversity Factor

AUTHORS: D.K. Agrawal*, N. P. Patidar, R. K. Nema

ABSTRACT: The aim of this paper is to present the meaning of different concepts under demand side management, there interdependence and balancing behavior to improve the efficiency in the energy productive cycle. Demand side management incorporates energy efficiency, energy conservation and demand Response. Present paper describes the current state of the demand side management initiatives in India. The work presented in this paper also study different electrical energy storage methods and demand characteristics of some of high tension industrial consumers of Bhopal region, India to find out the option of demand response to achieve the improvement in load factor, reduction in maximum demand and also the consumers get saving in the energy bill. A new Statistical term load pattern diversity factor is defined to correlate electrical consumers of different average demand

KEYWORDS: Load pattern diversity factor, Demand side management, Energy conservation, Energy efficiency, Demand response.

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MANUSCRIPT TITLE: Regression Test Suite Automation for Industrial Application Software

AUTHORS: K Babulu*, G Angelina Prashanthi, Raichor Surya

ABSTRACT: This paper put forward the testing procedure automation of an industrial asset management application software product named Field Device Manager in order to minimize manual efforts required, further to mitigate the amount of time spent on it thereby decreasing the cost of production. Field device manager is an asset management software, which provides an environment, that enables us to configure and maintain field devices .For any product testing is the fundamental component for providing its quality assurance. The greater visibility of software systems and the cost associated with the software failures are the motivating factors for the development of testing procedures. Even though we are successfully performing the testing processes manually, there is a necessity for the automation of the testing because, manual testing needs more men, more efforts, thereby consuming abundant amount of resources like money, time etc. Automated testing is the automatic execution of software testing by a special program with minimal or no human intervention guaranteeing that no test action will be skipped. Hence automated software testing is the best way to optimize the time, cost and other resources. Here the framework consists of a simple User Interface where user can provide all the required parameters for the test cases to be performed. The provided information is taken as inputs to the automation script and thus the automation proceeds and report the success or failure of these tests in the test sheet. Once automated tests are created they can easily be repeated and they can be extended to perform several tasks

KEYWORDS: Industrial asset management, regression testing, Automation

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MANUSCRIPT TITLE: THERMAL PERFORMANCE OF PIN-FIN ARRAYS

AUTHORS: R. Karthikeyan*, R.Rathanasamy

ABSTRACT: This paper presents the heat transfer and friction characteristics of convective heat transfer through a rectangular channel with cylindrical and square cross-section pin-fins attached over a rectangular duralumin flat surface. The pin-fins were arranged in in-line and a staggered manner. Various clearance ratios (C/H=0.0, 0.5&1.0) and inter-fin distance ratios (Sy/d and Sx/d) were used. The experiments are conducted for various mass flow rate of air (Re ranges from 2000-25000). The experimental results showed that the use of square cross-section pin-fins may lead to an advantage on the basis of heat transfer enhancement. For higher thermal performance, lower inter fin distance ratio and clearance ratio and comparatively lower Reynolds numbers should be preferred for in-line and staggered arrangement. The results of the in-line configurations were also compared with the results of the staggered arrangements for the two types of pin-fins.

KEYWORDS: Pin-fin, duct flow, forced convection, heat exchangers, performance, tip clearance pressure drop.

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MANUSCRIPT TITLE: A Novel Intelligent Mechanism for Energy Efficiency in Hierarchical WSNs

AUTHORS: Abbas Najafizadeh*, Mostafa Haghi Kashani

ABSTRACT: There has been a considerable amount of protocols in the field of routing in Wireless Sensor Networks (WSNs). Among these protocols, hierarchical routing protocols has significant impact on the energy saving. In hierarchical protocols, the network divides into local clusters. There are different mechanisms for communication between cluster members and cluster head and most of them determine a same time for each cluster member to communicate with cluster head without regarding the nodes conditions. In this paper, we propose a new energy efficient mechanism for communication between cluster head and cluster members in WSNs based on Artificial Immune System (AIS) called AISSM. In this mechanism, the nodes with more information have a better chance for communicating with cluster head. In addition, the proposed mechanism provides the proper nodes distribution in each cluster using virtual clustering concept. The results of simulation show the effectiveness of the proposed mechanism

KEYWORDS: wireless sensor network; Scheduling mechanism; energy consumption; artificial immune system; routing protocol.

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MANUSCRIPT TITLE: An Analytic Performance Evaluation Methodology Based on Balanced Scorecard

AUTHORS: Tuncay Ozcan*

ABSTRACT: Traditional performance measurement methodologies focus only on cost and benefit factors and hence, lack the ability to evaluate supply chains. Balanced Scorecard (BSC), eliminating this setback, build a balance between financial and non-financial, organizational and non-organizational performance measures, and hence, suggests a more thorough evaluation methodology. This study aims to measure and evaluate the performance of a given organization, depending on the BSC methodology. To achieve this, firstly, a new analytical structure is built together with the components of BSC, viz., perspectives, strategic goals and performance criteria. Later, an information technology solution is designed based on this analytical structure. A generic BSC structure and a case study are also included in the study to demonstrate the steps of the performance evaluation process

KEYWORDS: supply chain management; performance evaluation; balanced scorecard; analytic hierarchy process

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MANUSCRIPT TITLE: Segmentation Of Oil Spills In Sar Image Using Fusion Technique

AUTHORS: V.Radhika*, Dr. G. Padmavathy

ABSTRACT: An important step in any oil spill detection system is the segmentation of dark areas in SAR images. Image segmentation is the most important among virtually all automated image recognition systems. Clustering of numerical data forms the basis of many classification and system modeling algorithms. The purpose of clustering is to identify natural groupings of data from a large data set to produce a concise representation of a system's behavior. In this paper a hybrid method for dark area segmentation by combining FCM with thresholding and global minimization active contour/model method is proposed. This paper compares many existing segmentation algorithms with proposed method for oil spill SAR images. The active contour/snake model is one of the most successful variational models in image segmentation. Its success is based on strong mathematical properties and efficient numerical schemes based on the level set method. In the proposed method the initialization is determined by FCM with thresholding. The proposed method gives desirable results in terms of energy, entropy, mutual information, redundancy for oil spill SAR images.

KEYWORDS: oil spill; SAR; FCM; thresholding; entropy; energy; mutual information;redundancy

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MANUSCRIPT TITLE: Development of lidar technologies under project LIDAR

AUTHORS: Y.Bhavani Kumar*

ABSTRACT: Recently several new lidar technologies have been demonstrated under project LIDAR (Lidar Instrument Development And Research) at National Atmospheric Research Laboratory (NARL), a Department of Space (DOS) unit located near Tirupati in India. This document describes the developed lidar technologies and presents sample atmospheric remote sensing measurements carried out using these technologies at NARL site. The developed lidar technologies are useful for remote sensing the key atmospheric parameters such as boundary layer height, aerosol and cloud scattering and water vapor distribution in the atmosphere. Many of the developed technologies are novel in nature and are possible to operate during daylight conditions apart from the regular nighttime operational capability

KEYWORDS: component; Boundary Layer Lidar; Daytime Lidar; Infrared Backscatter lidar; Dual polarization lidar; Elastic Raman Lidar

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MANUSCRIPT TITLE: Estimating Capacity Bandwidth of Path Segments

AUTHORS: T.Neeraja*, G.Deelip Kumar, G.Anitha, A.Ramesh Babu

ABSTRACT: The available bandwidth in a network path is of major importance in congestion control, streaming application, server selection, overlay networks. Accurate measurement of network bandwidth is important for network management applications as well as flexible Internet applications and protocols which actively manage and dynamically adapt to changing utilization of network resources. Extensive work has focused on two approaches to measuring bandwidth: Measuring it hop-by-hop, and measuring it end-to-end along a path. Unfortunately, best-practice techniques for the former are inefficient and techniques for the latter are only able to observe bottlenecks visible at end-to-end scope. In this paper , we develop end-to-end probing methods which can measure bottleneck capacity bandwidth along arbitrary, targeted subpaths of a path in the network, including subpaths shared by a set of flows. We evaluate our technique through ns simulations, then provide a comparative Internet performance evaluation against hop-by-hop and end-to-end techniques.

KEYWORDS: Bottleneck bandwidth, content distribution, end-to-end measurement, overlay networks, packet-pair

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MANUSCRIPT TITLE: Knowledge Discovery Process Model and Data Mining – Overview

AUTHORS: R.KAVITHA KUMAR*, DR. RM.CHADRASEKARAN

ABSTRACT: The knowledge Discovery in database (KDD) is the emerging field. KDD refers to the overall process of discovering useful knowledge from data, and data mining refers to a particular step in this process. In this we combine techniques from algorithms, mathematics, artificial intelligences and statistics to deal with the issue of knowledge extracting. Data Mining (DM) is the one of the main steps in the KDD. In this paper we present the new survey on KDD, KDDM (Knowledge discovery and data mining process model and the relationship between Knowledge Discovery and Data Mining process are presented in this paper

KEYWORDS:

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MANUSCRIPT TITLE: Study of Aerodynamic Drag Reduction using Vortex Generators

AUTHORS: C. Ramesh Kumar*, Jaswanth Chowdary U, A. Karthik Reddy

ABSTRACT: Aerodynamics plays a very important role in performance of a car like fuel-efficiency, speed and so on. This paper gives an overview on the work done for drag force calculation over the Audi R8 car model. For the research work, a 1:18 model was taken and analyzed in a wind tunnel.

KEYWORDS: Aerodynamics; drag; wind tunnel

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