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Suresh Kumar L.V.,GMRIT | Nagesh Kumar G.V.,Gandhi Institute of Technology and Management | Madichetty S.,BITS Pilani
International Journal of Electrical Power and Energy Systems | Year: 2017

The increasing portion of wind energy in the power system puts forward stability challenges to the power grid. With introduction of wind generating systems, maintaining constant frequency became one of the important problems taking stability into account. The system could be maintained with constant frequency with the help of controllers. The controller gains are usually designed with fixed values for various scenarios of power system which considerably vague due to existing system complexity. Also, the usage of conventional techniques consumes a lot of computational time and does not possesses accurate control gain parameters. To address the aforementioned challenges, an automatic online gain estimation algorithm by using pattern search optimization technique has been proposed in this article. This method computes the parameters on its own based on variable wind power output and controller gains will adjust automatically to achieve the best desired performance. The proposed method was tested in a modified IEEE 39 bus system for scenarios like system with 3% and 10% GRC (Generator Rate Constraint) with 10% and 20% SLP (Step Load Perturbation). Following that the system with proposed method was investigated with variable wind power and results demonstrate significant better results which comply with IEEE standards. © 2016 Elsevier Ltd. All rights reserved.

Suresh Kumar L.V.,GMRIT | Nagesh Kumar G.V.,GITAM
7th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2016 | Year: 2016

This paper gives a Simulink design of boost converter for reliability for PV system. In this circuit boosthalf- bridge DC to DC converter using minimal device to interconnect to the low-voltage of distribution application with PV source. A cascaded full-bridge inverter operates with sinusoidal pulse width modulation (SPWM) and synchronized to the grid. In this system have been achieves best out voltage while changing load or changing solar irradiance rapidly. In addition to that, analyze the working behavior of the boost half bridge converter, half bridge photovoltaic (PV) for grid connected micro inverter with basic control system. The motivation of work to develop and in order to achieve less cost, simple control, enhance the efficiency, and high and adapted with maximum power point tracking -basic MPPT Perturb & Observe method , which generates a locational changed PV voltage and it is developed accordingly. Different step size is adopted for the fast tracking speed and enhances MPPT efficiency are to be obtained. Simulation developed and results are provided to while performing grid connected PV system with MPPT algorithm. This system implanted from basic mathematical model to achieve constant voltage and generated power transmitted to grid.

Vidyasagar T.,Miracle Education Society Group of Institutions | Naidu R.L.,GMRIT | Bhuvana Vijaya R.,Jawaharlal Nehru Technological University Anantapur
European Physical Journal Plus | Year: 2014

In this paper, we derive Brans-Dicke (Phys. Rev. 124, 925 (1961)) field equations with the help of a spatially homogeneous and anisotropic Bianchi type-VI0 metric, in the presence of a bulk viscous fluid, containing one-dimensional cosmic strings. A cosmological model, which represents a bulk viscous string universe in this theory of gravitation, is obtained using some plausible physical conditions. Some physical and kinematical properties of the model are also discussed. © 2014, Società Italiana di Fisica and Springer-Verlag Berlin Heidelberg.

Gantayat S.S.,GMRIT | Misra A.,CUTM | Panda B.S.,MITS Engineering College
Advances in Intelligent Systems and Computing | Year: 2014

Incomplete data are questions without answers or variables without observations. Even a small percentage of missing data can cause serious problems with the analysis leading to draw wrong conclusions and imperfect knowledge. There are many techniques to overcome the imperfect knowledge and manage data with incomplete items, but no one is absolutely better than the others. To handle such problems, researchers are trying to solve it in different directions and then proposed to handle the information system. The attribute values are important for information processing. In the field of databases, various efforts have been made for the improvement and enhance of database query process to handle the data. The different researchers have tried and are trying to handle the imprecise and/or uncertainty in databases. The methodology followed by different approaches like: Fuzzy sets, Rough sets, Boolean Logic, Possibility Theory, Statistically Similarity etc. © Springer International Publishing Switzerland 2014.

Biswal B.,GMRIT | Behera H.S.,VSSUT | Bisoi R.,Soa University | Dash P.K.,Soa University
Swarm and Evolutionary Computation | Year: 2012

This paper presents a new approach for processing various non-stationary power quality waveforms through a Fast S-Transform with modified Gaussian window to generate timefrequency contours for extracting relevant feature vectors for automatic disturbance pattern classification. The extracted features are then clustered using Bacterial Foraging Optimization Algorithm (BFOA) based Fuzzy decision tree to give improved classification accuracy in comparison to the Fuzzy decision tree alone. To circumvent the problem of premature convergence of BFOA and to improve classification accuracy further, a hybridization of BFOA (Bacterial Foraging Optimization Algorithm) with another very popular optimization technique of current interest called Differential Evolution (DE) is presented in this paper. For robustness the mutation loop of the DE algorithm has been made variable in a stochastic fashion. This hybrid algorithm (Chemotactic Differential Evolution Algorithm (CDEA)) is shown to overcome the problems of slow and premature convergence of BFOA and provide significant improvement in power signal pattern classification. © 2011 Elsevier B.V. All rights reserved.

Biodiesel is as an attractive alternat ive fuel for replacement of conventional diesel with small or no changes made to the original design of the engine. 100% replacement entails some problems such as excess Nitrogen Oxide (NOx) generation in the exhaust gases and crankcase oil dilution. Biodiesel made from non-edible oils is a safer choice. Mahua methyl ester (MME) biodiesel is one of the many fuels receiving attention as an alternative fuel for diesel engines, and carries religious significance for being used in temples. Much work and research have been carried out on a Direct Injection (DI) diesel engine with biodiesel and additives. Research in biodiesel acknowledges its advantages and it is envisaged that the emissions can be substantially reduced. Biodiesel is an oxygenated fuel containing approximately 11% of O2 in its molecular structure. This may lead to the release of more NOx in the exhaust gas. In this study, an effort has been made to reduce crank case oil dilution and NOx emission by adopting an Indirect Diesel Injection (IDI) engine. Combustion phenomena were studied and emissions were compared using biodiesel with methyl alcohol as an additive. The aim of the current work is to investigate the emission characteristics of an IDI engine fuelled with Mahua methyl ester (MME) along with Methanol (M) additive blends with an attempt to reduce NOx, HC, CO and smoke emissions employing the concept of low temperature combustion because of methanol's higher latent heat. A four-stroke single-cylinder, forced air and oil cooled IDI diesel engine was used for the investigation. Smoke, NOx, carbon monoxide (CO) and carbon dioxide (CO2) emissions were recorded and various engine performance parameters were measured. A comparative study was conducted using Petro diesel, biodiesel and additive blends of biodiesel on an IDI diesel engine. Mahua methyl ester (MME) was used with additive methanol in different proportions such as 1%, 2%, 3%, 4% and 5% and was tested at different loads in an IDI diesel engine. The performance and emissions of the engine using biodiesel with the additive was compared with an engine with neat diesel operation: 57% HC, 20% CO, 14% NOx, 27% smoke reductions were observed at 3% methanol additive at maximum opted load (2.70 kW and 1500 rpm) operation of the engine. © 2014 Taylor & Francis.

Kanchanamala P.,GMRIT | Muppidi S.,GMRIT
Proceedings - 6th International Advanced Computing Conference, IACC 2016 | Year: 2016

Engineering education impacts very much in the country development in various facets like productivity, services and skilled personnel. It is the engineering institutes responsibility to provide the interactive environment for the all-round development of the students. The students who joins for the engineering education would be differed in their attitudes, back ground knowledge, intellectual levels, learning approaches. To improve the students learning capabilities and in turn make them more employable it is necessary to consider the individual properties of students in choosing the type of instruction and teaching methods. To develop the creative and critical thinking skill of students it is necessary to make them to participate in social and working environments. To facilitate the students with different learning approaches, curriculum is to be reviewed and redesigned. In this paper we reviewed four different learning models and we proposed a new integrated learning model which integrates five learning approaches. © 2016 IEEE.

Kuppili S.K.,GMRIT | Prasad P.M.K.,GMRIT
Smart Innovation, Systems and Technologies | Year: 2015

Edge attribute Extraction is an indispensable and central subject in computer vision. In topical years edge detection performance has progressively been widely used because it filter out hopeless data from the image. Sobel edge detection is one of the classic edge detection operator, used to distinguish the edge pixels in an image and property of less weakening in high level of noise. This method exploits modify in intensity with respect to neighboring pixels in the image. The gradient edge detection is preferred in order to optimize the area which is crucial feature. For the purpose of reducing the FPGA area resource Sobel edge detection is implemented in VDHL and simulation and synthesis will be done using Xilinx. © Springer India 2015.

Sundara Kumar K.,GMRIT
International Journal of Applied Environmental Sciences | Year: 2010

This paper presents the results of a study of the environmental impacts of the proposed Bauxite mining project at Jerrila, Visakhapatnam, A.P, India. The study considered physical, chemical, and ecological as well as social and economic issues in relation to the various operations in the Bauxite mining process. All identified impacts, negative as well as positive, were studied in detail. In order to make the impacts comparable in a transparent way the Rapid Impact Assessment Method was employed on the data. The results showed that there is a majority of negative impacts due to the mining activity. The negative impacts relate to the physico chemical characteristics of the site area, geomorphologic changes, surface and sub- surface water quality, air quality, ecological balance, loss of biodiversity, loss of livelihood of the tribals, displacement of tribals, etc., However the project also have positive effects in relation to the social and economical development of the region as well as state and nation. The negative impacts can be minimized by adopting an effective Environmental Management Plan which includes mitigation measures for improving the eco-profile of the site area. © Research India Publications.

Siva Ranjani R.,GMRIT
International Journal of Engineering and Technology | Year: 2016

This paper is proposing a new cryptosystem termed as Asymmetric group key agreement cryptosystem, where a selected set of group users broadcast their contribution to other group members by keeping their own information secret. Each group user collects broadcast message from other group participants and derive a common group key. If any user is interested to send message to group, he decides the session key and then encrypts message using the session key. The decided session key is encrypted using the derived common group key and securely communicated to other group members. Group members will use their secret information to retrieve the session key, which is used to decrypt the received message. Also, the proposed techniques performance is compared against X.Du et al.[26], L.LU et al. [27] and J.Beak[28] protocols. Observed that the proposed technique is taking less computation time than other existing techniques.

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