Anurag Group of Institutions

Ghatkesar, India

Anurag Group of Institutions

Ghatkesar, India

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Madhav G.V.,Anurag Group of Institutions | Obulesu Y.P.,Koneru Lakshmaiah College of Engineering
Indonesian Journal of Electrical Engineering and Computer Science | Year: 2017

The Direct Power Contro; has many advantages like it avoids the usage of integration of PWM voltages which leads to stable operation even at zero rotor frequency, it is position sensor less and hence will not depend on machine parameters like stator or rotor resistance. In case of network unbalance, if the system is operated with constant active and reactive powers, it leads to oscillations in the electromagnetic torque and currents exchange with the grid will become non- sinusoidal, which is not good for the system as it increases the mechanical stress. In this paper, both the rotor connected converter and grid connected converter are fed with DPC strategy along with that a Torque Oscillations Cancellation scheme is applied to RSC and Proportional Integral control based power references generation strategy without calculating the sequence components and with elimination of DC bus voltage oscillations is applied to stator-side converter in order to achieve non-oscillating torque accompanied by quality improved current exchange with the grid. The simulation results of Doubly Fed Induction Generator with and without fault clearly shows that the performance of the proposed scheme is validated. © 2017 Institute of Advanced Engineering and Science. All rights reserved.


Sridevi M.,Anurag Group of Institutions | Rao R.R.,Jawaharlal Nehru Technological University Kakinada
Proceedings of the International Conference on Inventive Computation Technologies, ICICT 2016 | Year: 2017

The emergence of web had a profound impact on personalized Recommender systems. They empower most of the popular e-commerce websites by changing the way the users communicate with the websites. Despite the available of popular recommendation techniques like Content based and Collaborative filtering which have been successful in implementing satisfactory systems, they still have some downsides. One of the most notable issue is to generate efficient recommendations when there is sparsity of data. Aimed to address the issue to some extent, this paper proposes a framework that integrates the collaborative filtering features and clustering techniques. Items and Users are clustered separately using similarity techniques from which a user is promoted as an expert from each user group based on the user whose profile is more concentrated on a particular class of items. The proposed method aims in delivering accurate recommendations by considering the experts opinion when there is sparsity of data.


Pavan Kumar C.V.,Vignan Institute of Technology and Science | Shiva Reddy K.,Anurag Group of Institutions | Srinivas M.A.S.,Jawaharlal Nehru University
Alexandria Engineering Journal | Year: 2017

The ecological interaction between prey and predator is modeled in general linear (or) function of prey density. The main advantages of such functional response are its simplicity, and well understood. The functional response should depend not only on the prey density but also on the predator density. In this paper a two species prey predator eco system having Holing type III functional response under stochastic influence is investigated. The analysis for the stability, local as well as global, of the model is performed by employing the techniques of Routh-Hurwitz and Lyapunov. Diffusive instability is also verified by perturbation technique and Routh-Hurwitz criteria. The fluctuations of the population and their stability around the equilibrium point influenced by the noise are computed. Numerical simulations illustrated, the theoretical analysis. © 2017 Faculty of Engineering, Alexandria University.


Kumar T.S.,VNR Vignana Jyothi Institute of Engineering and Technology | Vijaya Kumar V.,Anurag Group of Institutions | Eswara Reddy B.,Jawaharlal Nehru Technological University Anantapur
ARPN Journal of Engineering and Applied Sciences | Year: 2017

The present paper put forward efficient content-based image retrieval (CBIR) system by extracting structural, texture and local features from images. The local features are extracted from local directional pattern (LDP). The LDP produces a steady local edge response in the presence of noise, illumination changes. The LDP coded image is converted in to a ternary pattern image based on a threshold. The structural features are derived by extracting textons on the "local directional ternary pattern (LDTP" image. The texture features are derived by constructing grey level co-occurrence matrix (GLCM) on the derived texton image. Image retrieval results on various data base images based on various classifiers have proved the discrimination power of the proposed method over existing methods. © 2006-2017 Asian Research Publishing Network (ARPN). All rights reserved.


Hari Priya D.,Andhra University | Sastry A.S.C.S.,Andhra University | Rao K.S.,Anurag Group of Institutions
ARPN Journal of Engineering and Applied Sciences | Year: 2017

Long term monitoring and measurement of bio signals requires new techniques that promise light weight devices consuming low power and are maintenance free. The basic block in processing analog signal happens to be operational trans-conductance amplifier (OTA) and the design of sub-threshold OTA for low voltage low frequency applications consuming less power is proposed. With an operating voltage of 0.5V the gain achieved is 58dB and CMRR of 88.5dB. The input referred noise is measured as 1.159μV and the power consumption has 620nW. The circuit was implemented in 0.18μm technology using Cadence tool. © 2006-2017 Asian Research Publishing Network (ARPN). All rights reserved.


Vijaya Kumar V.,Anurag Group of Institutions | Venkata Krishna V.,G.I.E.T
International Journal of Applied Engineering Research | Year: 2015

Abstract The Local Binary Pattern (LBP) is a very popular descriptor for texture analysis. Various methods of face recognition are derived based on LBP, which describes the local property significantly. The histogram methods based on entire LBP is a complex task. To overcome this Uniform Local Binary Pattern’s (ULBP) are proposed and ULBP’s are treated as fundamental property of LBP. The ULBP approach treated all Non-Uniform Local Binary Pattern’s (NULBP) into one miscellaneous label. Later the researchers proved that NULBP also contains a part of significant texture information. To address this, the present paper proposed the Prominent LBP (PLBP) which consists of the majority of the ULBP’s and some of the NULBP’s and treated the rest of them as Non-Prominent LBP (NPLBP). For this the PLBP used completely a new set of transitions other than ULBP. The present paper also derived Maximum PLBP (MPLBP), Smallest PLBP (SPLBP). The proposed PLBP approach is used for face recognition on Yale, Indian and American Telephone and Telegraph Company (AT&T) Olivetti Research Laboratory (ORL) databases with different combinations of neighboring pixels and radius. The results indicate that a good face recognition rate when compared to LBP and ULBP approaches. © Research India Publications.


Gnaneswara Rao N.,Vignan University | Vijaya Kumar V.,Anurag Group of Institutions
International Journal of Multimedia and Ubiquitous Engineering | Year: 2014

Content Based Image Retrieval (CBIR) has been the most significant area in the applications of Pattern recognition and Computer Vision for the last three decades. However, there are many open problems left unresolved. Among these, one of the current problems of CBIR is to obtain an effective Similarity Measure. The CBIR systems make use of Integrated Region Matching (IRM) to match segmented images which is computationally economic, but it is not a metric distance whereas systems that use Minimum Cost Region Matching (MiCRoM) as a similarity measure is a metric distance, but computationally expensive. In order to address the above problem, this paper has developed the Optimal Cost Region Matching (OCRM) similarity measure for region based image retrieval. The proposed OCRM uses the north-west corner rule of the Transportation problem that fulfills the monge property. The experiment carried out on 1000 color images taken from the Corel database that are compared with IRM, and MiCRoM similarity measures. © 2014 SERSC.


Padmaja D.L.,Anurag Group of Institutions | Vishnuvardhan B.,JNTUH College of Engineering
Proceedings - 6th International Advanced Computing Conference, IACC 2016 | Year: 2016

Feature Selection(FS) is an important step to enhance the classification accuracy. Using the lazy learning classification algorithm, the feature selection methods calculate relevancy to reduce the storage. Dimensionality reduction technique on scientific data is a popular area to understand the underlying scientific knowledge in a data set, resulted from scientific experiments. This paper presents a review and systematic comparative study of methods and techniques used in scientific data mining. The performances of the techniques are compared and a meaningful direction has been arrived. It is understood that there are several techniques such as Sequential Forward Selection(SFS), Sequential Floating Forward Selection(SFFS) and Random Subset Feature Selection (RSFS) etc., which are used to minimize the storage space of the scientific data set in combination of Nearest Neighbor classifier. The paper explains these approaches by identifying various dimensionality reduction techniques to improve the performance. © 2016 IEEE.


Deepika G.,Alagappa Chettiar College of Engineering And Technology | Rao K.S.,Anurag Group of Institutions
ARPN Journal of Engineering and Applied Sciences | Year: 2016

The design of a low power amplifier for recording EEG signals is presented. The low noise design techniques are used in this design to achieve low input referred noise that is near the theoretical limit of any amplifier using a differential pair as input stage. To record the neural spikes or local field potentials (LFP's) the amplifier's bandwidth can be adjusted. In order to reject common-mode and power supply noise differential input pair need to be included in the design. The amplifier achieved a gain of 53.7dB with a band width of 0.5Hz to1.1 kHz and input referred noise measured as 357 nVrms operated with a supply voltage of1.0V. The total power consumed is around 3.19μW. When configured to record neural signals the gain measured is 54.3 dB for a bandwidth of 100 Hz and the input referred noise is 1.04μ Vrms. The amplifier was implemented in 180nm technology and simulated using Cadence Virtuoso. © 2006-2016 Asian Research Publishing Network (ARPN).


Anand P.,Indian Institute of Chemical Technology | Venkateswarlu Ch.,Institute of Chemical Technology | Bhagvanth Rao M.,Anurag Group of Institutions
Asia-Pacific Journal of Chemical Engineering | Year: 2013

A multistage dynamic optimization methodology with sequential implementation procedure is proposed, and the evolutionary optimizing features of differential evolution (DE) are exploited to implement the methodology for optimal control of a semi-batch copolymerization reactor. DE is designed and implemented to determine the optimal control policies for monomer addition rate and reactor temperature to produce a polymer with the desired copolymer composition and molecular weight distribution. Further, a similar multistage dynamic optimization strategy based on iterative dynamic programming is used for optimal control of copolymerization reactor and to compare with DE. The results show the effectiveness of the DE-based multistage dynamic optimization strategy in determining the optimal control policies that yield the desired polymer product characteristics. © 2013 Curtin University of Technology and John Wiley & Sons, Ltd.

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