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Nireekshana T.,VNRVJIET | Kesava Rao G.,Vasireddy Venkatadri Institute of Technology | Siva Naga Raju S.,Jawaharlal Nehru Technological University Kakinada
International Journal of Electrical Power and Energy Systems | Year: 2012

Determination and enhancement of Available Transfer Capability (ATC) are important issues in deregulated operation of power systems. This paper investigates the use of FACTs devices, like SVC and TCSC, to maximize power transfer transactions during normal and contingency situations. ATC is computed using Continuation Power Flow (CPF) method considering both thermal limits and voltage profile. Real-code Genetic Algorithm (RGA) is used as an optimization tool to determine the location and controlling parameters of SVC and TCSC. The suggested methodology is tested on IEEE 14-bus system and also on IEEE 24-bus reliability test system for normal and different contingency cases. © 2012 Elsevier Ltd. All rights reserved.

Reddy A.B.,VNRVJIET | Govardhan A.,JNTUH College of Engineering
2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015 | Year: 2015

The objective of Resource allocation for the Choice based Education System using Semantic Web is to propose an implementation model for an agent software which acts as a bridge between different educational services, content-oriented intelligence and their semantic interoperation. This paper analyzes and identifies techniques necessary to develop an automatic choice based educational system for next generation to overcome human intervention. The different educational services such as course registration, examination module, schedules the courses, assessment of student and assessment of faculty need to be automated. It means that our system adopts a learning mechanism and provides the content - oriented intelligence and more semantic interoperation between these services and content. The paper proposes semantic web is realistic technology that supports to achieve such kind of flexibility. © 2015 IEEE.

Dhanalakshmi N.,VNRVJIET | Damodaram A.,JNTUH College of Engineering | Latha Y.M.,MRECW | Rani U.S.,VNRVJIET
Souvenir of the 2015 IEEE International Advance Computing Conference, IACC 2015 | Year: 2015

This paper deals with the implementation of HMM based video classification algorithm using color feature vector on the open source BeagleBoard mobile platform. To simplify the development of video IO interfaces to the processor running the algorithm, we first choose the BeagleBoard-xM, a low-cost, low-power, portable computer with a Cortex-A8 processor with a speed of 1GHz. The algorithm uses color feature vector with HMM as a classifier to classify videos into different genres. Video classification task can be often treated as a primary step for many other applications including data organization and maintenance, search, retrieval and so on. Most of the existing work includes only implementations on general purpose processors which are inadequate to meet the performance requirements of machine vision applications. For mobile platforms, the algorithms need to be implemented on embedded hardware to meet the requirements like size, power, cost etc. Various optimization techniques such as key frame extraction and feature extraction that are carried out to allow the execution of the algorithm are discussed. It further leads to efficient video browsing and retrieval strategies on mobile platforms. Experimental results obtained from the implementation of the video classification task on the ARM- based computing platform BeagleBoard-xM, showed that the classification efficiency of 89.33% was achieved. © 2015 IEEE.

Reddy G.S.,VNRVJIET | Rajinikanth T.V.,SNIST | Rao A.A.,JNTUA
Souvenir of the 2014 IEEE International Advance Computing Conference, IACC 2014 | Year: 2014

Text clustering is an unsupervised process forming its basis solely on finding the similarity relationship between documents with the output as a set of clusters [14]. In this research, a commonality measure is defined to find commonality between two text files which is used as a similarity measure. The main idea is to apply any existing frequent item finding algorithm such as apriori or fp-tree to the initial set of text files to reduce the dimension of the input text files. A document feature vector is formed for all the documents. Then a vector is formed for all the static text input files. The algorithm outputs a set of clusters from the initial input of text files considered. © 2014 IEEE.

Kumar G.N.,VNRVJIET | Kalavathi M.S.,Andhra University
ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology | Year: 2011

Voltage stability is of major concern in power systems stability. Main reason for the cause of voltage instability is the sag in reactive power at various locations in an interconnected power system. Improving the systems reactive power handling capacity via FACTS devices during large disturbance voltage instability is the idea behind this paper. The FACTS devices used to improve the reactive power profile are SVC and TCSC. Power system Analysis toolbox (PSAT) is used to effect of these controllers on 9-bus and 6-bus test systems. © 2011 IEEE.

2015 International Conference on Control Instrumentation Communication and Computational Technologies, ICCICCT 2015 | Year: 2015

Diabetic Retinopathy is the frequent cause of blindness. Diabetic retinopathy is a complication of diabetes mellitus. The longer one is suffering with diabetes the more is the probability of diabetic retinopathy(DR). DR leads to several abnormalities like Micro aneurisms(MA); hard exudates (HE), hemorrhages (Hem) and Cotton wool spots(CWS). MA is first symptom of DR. The detection of MA is important for the early detection of DR. We have proposed MA detection based on Eigen value analysis using hessian matrix in retinal images. The objective of the proposed work is, to develop an algorithm for improved MA detection. The algorithm employed Eigen value analysis from Hessian matrix to detect MAs. MA particle analysis is employed to measure the area of MA in retinal image. When the method was evaluated on visible MAs using 89 images from the diaretDB0 database, the true positive rate was 91% with eight false positive images. Lab VIEW software is used to implement the algorithm. © 2015 IEEE.

Chandra K.V.,Vnrvjiet | Rashmi K.,Vnrvjiet
2015 International Conference on Control Instrumentation Communication and Computational Technologies, ICCICCT 2015 | Year: 2015

The Cornea is the most important layer in human eye which consists of 12 sub layers in it, Each one is very unique to its own identity and forming some diseases in it cause vigorous vision problems, This paper deals with the corneal diseases using NI VISION Assistant in LabVIEW. NI Vision for LabVIEW is apart ofthe NI VDM is a Iibrary of LabVIEW used to develop machine vision and scientific imaging applications. The diseases and disorders affecting the cornea are many but only few ofthem are discussed in this paper. They are: Corneal Infections, Dry Eye, Keratoconus, and Allergies. © 2015 IEEE.

Naveen Kumar G.,VNRVJIET | Surya Kalavathi M.,JNTUH College of Engineering
International Journal of Electrical Power and Energy Systems | Year: 2014

Voltage stability categorized under various classifications of power system stability is considered one of the important subjects in power systems stability studies. A power system, experiencing disturbances, is at risks of voltage instability. Main reason for the cause of voltage instability is the sag in reactive power at various locations due to circuit contingencies classified under large disturbance voltage stability. The aim of this paper is to identify the optimal location of Unified Power Flow Controller in an interconnected power system under N-1 contingency. As the size and the cost of the FACTS devices are high, an optimal location and size has to be identified before they are actually installed. We are trying to improve the voltage profile and Maximum Loading Parameter using Unified Power Flow Controller while determining their optimal location based upon Cat Swarm Optimization. © 2013 Elsevier Ltd. All rights reserved.

Babu B.R.,VNRVJIET | Lakshmieenivasa Reddy D.,Chaitanya Bharathi Institute of Technology
Proceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016 | Year: 2016

Outlier analysis is an essential task in data science to find out inconsistencies in data, to build a good classifier and in decision making. Finding outliers from categorical data is a tough task. In this work, a comparative study is made between classifier accuracies which are built by different outlier analysis methods generated by frequent and infrequent itemsets from categorical data. In modeling a classifier for categorical data, high frequent records are most useful and the infrequent records are obstacles in modeling the classifiers. The experiments are done on Bank dataset and Nursery dataset, taken from UCI ML Repository to compare the available methods with the proposed method. For normally distributed OFI, the number of outliers to be eliminated need not be given as input since it generates the number of outliers automatically. However the threshold value is needed to be given to generate infrequent item sets for NOFI. © 2016 IEEE.

Nireekshana T.,VNRVJIET | Rao G.K.,LBRCE | Raju S.S.N.,Jawaharlal Nehru Technological University Anantapur
ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology | Year: 2011

Flexible Alternating Current Transmission Systems (FACTS) devices have been proposed to be effective for controlling power flow and regulating bus voltage in electrical power systems, resulting in an increased transfer capability, low system losses and improved stability. Unified Power Flow Controller (UPFC) is one of the most promising FACTS devices for power flow control. In principle, the UPFC is capable of providing active and reactive power control, as well as adaptive voltage magnitude control. Provided no operating limits are violated, the UPFC regulates all three variables simultaneously or any combination of them. Moreover, since the UPFC parameters are computed after the load flow has converged, there is no way of knowing during the iterative process whether or not the UPFC parameters are within limits. This has provided the motivation for developing a new UPFC model suitable for incorporating into an existing Newton-Raphson load flow algorithm. It is also necessary to determine the optimal setting of the device so that the net saving is maximized. In this work a new mathematical model of UPFC is developed which can be easily incorporated in Newton-Raphson load flow algorithm. Optimal location of UPFC is determined based on Voltage Stability Index. Particle Swarm Optimization (PSO) technique is used to set the parameters UPFC. The objective function formulated consists of two terms: cost for energy loss and cost related to UPFC, which has to be maximized for net saving. The results obtained using PSO is compared with that of results obtained using genetic algorithm. The validity of the proposed work is tested on IEEE 5-Bus and IEEE 14-Bus systems using MATLAB. © 2011 IEEE.

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