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Kumar S.,R.G.P.V. | Chaube A.,R.G.P.V.
Renewable and Sustainable Energy Reviews | Year: 2012

Jatropha, a non-edible oil seed yielding plant has been identified by the Government of India to produce biodiesel under National Biodiesel Mission. Failure of National Biodiesel Mission Phase-I requires critical analysis of all the possible facts related to its long-term sustainability. Present work identifies important sustainability issues related to promotion of Jatropha biodiesel in India. These sustainability issues have been regrouped in four major categories: technological, environmental, economic and social. This paper attempts to explore various sustainability issues taking into account the recent Indian experiences with possible government support/initiatives for successful adoption of Jatropha biodiesel in Indian scenario. © 2011 Elsevier Ltd. All rights reserved.


Gour B.,The Saints | Bandopadhyaya T.K.,Bansal Institute of Science and Technology | Patel R.,RGPV
3rd International Conference on Knowledge Discovery and Data Mining, WKDD 2010 | Year: 2010

ART1 based clustering approach is used for classification, which groups fingerprints into more compact classes. ART1 is a efficient technique for grouping fingerprints in to N number of classes, which speedup the process of fingerprint recognition. After classification of fingerprints the key-fingerprint class is used for the purpose of fingerprint identification. The key-fingerprint is recognized by using Monolithic and Modular Neural Network and their performance has been compared on the bases of time and accuracy. Due to modularity, Modular Neural Network gives better performance on the classified databases as compared to Monolithic Neural Network even with poor quality fingerprints. Monolithic Neural Network takes average of 44.7 seconds with an accuracy of 98%, correct recognition where as Modular Neural Network takes average time 1.84 seconds with an accuracy of 100% correct recognition. © 2010 IEEE.


Khan A.U.,The Saints | Bandopadhyaya T.K.,Bansal Institute of Science and Technology | Sharma S.,RGPV
3rd International Conference on Knowledge Discovery and Data Mining, WKDD 2010 | Year: 2010

Selection of stocks that are suitable for investment is a complex task. The main aim of every investor is to earn maximum possible returns on investments. There are many conventional techniques being used and these include technical and fundamental analysis. The main issue with any approach is the proper weighting of criteria to obtain a list of stocks that are suitable for investments. This paper proposes an improved method for stock picking using self-organizing maps and technical analysis. The stock selected using this method outperformed the BSE-30 Index by about 28.41% based on one month of stock data. © 2010 IEEE.


Soni S.K.,RGPV | Pandey M.,RGPV | Bartaria V.N.,LNCT
Energy and Buildings | Year: 2016

Ground coupled heat exchanger system is the promising technology for space heating/cooling where winters (summers) are quite cold (hot) and there is substantial variation in temperatures during the day. Ground coupled heat exchanger system can be classified as earth-air-heat-exchanger and ground source heat pump system. Further ground source heat pump system can be categorized as regular and direct expansion ground coupled heat pump system. The performance of conventional air conditioner, based on vapor compression system can significantly be enhanced by coupling ground-coupled heat exchange system. In the present research, an attempt has been made to boost the performance of cooling system viz. coupling of buried copper condenser tube with the compressor of conventional air conditioner. The proposed system is one of the direct expansion ground coupled heat pump systems. The techno-economical performance of the proposed system has been experimented in three different modes. The power consumption compared to base mode (i.e. conventional air conditioner) reduces when horizontal and vertical direct expansion ground coupled heat pump systems are used. Economic analysis factors, such as simple payback period, discounted payback period, net present value and internal rate of return show that vertical configured buried copper tubes provide more economic feasibility than horizontal. © 2016 Elsevier B.V. All rights reserved.


Soni S.K.,RGPV | Pandey M.,RGPV | Bartaria V.N.,LNCT
Renewable and Sustainable Energy Reviews | Year: 2015

The use of ground coupled heat exchanger (GCHE) systems is increasing worldwide. They are mainly used for space conditioning, water heating, agricultural drying, bathing, swimming, etc. They reduce cooling load in summer and heating load in winter. GCHE systems make available excellent scope to conserve significant amount of primary energy and thus mitigating the impact on environment through emission reduction. This paper reviews the experimental and modeling studies carried out on GCHE systems. The reviewed literature focuses on performance of both types of GCHE systems viz. earth-air heat exchanger (EAHE) and ground source heat pump (GSHP) systems and brings out their merits and demerits. © 2015 Elsevier Ltd. All rights reserved.


Soni S.K.,RGPV | Pandey M.,RGPV | Bartaria V.N.,LNCT
Energy and Buildings | Year: 2016

Rapid increase in cost of power, its shortage and impact on environment, compels us to use innovative energy efficient technologies for space heating/cooling. Reduction in power consumption in vapour compression based conventional air-conditioner with air-cooled condenser is a difficult task especially in hot and humid weather conditions (Central region of India), where the summer temperature sometimes exceeds 46 °C. Power consumption of conventional air-conditioner can be reduced substantially by hybridizing it with earth air heat exchanger system. In the present research, an effort has been made to reduce the power consumption of 1.5 TR window air-conditioner by coupling with earth air heat exchanger system in three different arrangements. When entire cold air from earth air heat exchanger system is supplied to cool the air-conditioner's condenser coil, the power consumption is found to be reduced significantly in hybrid system as compared to conventional 1.5 TR window air-conditioner. The economic analysis techniques i.e. simple payback period, discounted payback period, net present value and internal rate of return validate that proposed hybrid arrangements are economically viable. © 2016 Elsevier B.V.


Soni S.K.,RGPV | Pandey M.,RGPV | Bartaria V.N.,LNCT
Renewable and Sustainable Energy Reviews | Year: 2016

Ground coupled heat exchanger (GCHE) systems are used for space heating/cooling across the globe. Hybrid GCHE systems are being preferred over unitary system due to higher efficiency. GCHE system can be classified as earth air heat exchanger (EAHE) and ground source heat pump (GSHP). Fast depleting stocks, recent rise in costs of fossil fuels and its serious impact on climate makes it imperative to adopt renewable and environment friendly sources of energy and energy conservation. The aim of this study is to review the current status of hybrid GCHE systems with passive renewable systems. The paper concisely explains EAHE, GSHP and various passive techniques commonly used for space heating/cooling and review state of the art of hybrid EAHE and GSHP systems. A comparative study of various technologies has been presented and their role in energy conservation highlighted. © 2016 Elsevier Ltd. All rights reserved.


Shrivastava A.K.,Academics | Vidwans A.,R.G.P.V | Saxena A.,TIET
Proceedings - 5th International Conference on Computational Intelligence and Communication Networks, CICN 2013 | Year: 2013

A Mobile Ad-hoc Network (MANET) is a dynamic wireless network that can be formed without the need for any pre-existing infrastructure in which each node can act as a router. One of the major challenges of MANET is the design of vigorous routing algorithms that adapt to the frequent and randomly varying network topology. Numbers of routing protocols have been proposed and several of them have been widely simulated or implemented as well. In proposed paper, we evaluate the performance of On-demand Multipath Distance Vector (AOMDV) routing protocol with two Mac layer protocol IEEE802.11 and TDMA for four parameters namely, Packet delivery fraction, Average End-to-End delay, Normalized Routing Load and Throughput. We conclude that working of 802.11 is more efficient than TDMA. © 2013 IEEE.


Pandey G.S.,RGPV | Jain R.C.,SATI
Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014 | Year: 2014

The protein structure has always been under significant exploration, as this is vitally responsible for the basic functionality. Understanding the formation of these structures has gradually been called as 'the protein folding problem'. The solution for this problem is basically concerned with the ultimate aim to attain the native state. Broadly the methods to predict the ultimate goal, are categorized as- the template -based (homology modeling, threading/fold recognition) and template -free (ab initio) methods, which are discussed later in detail. In this paper, we have followed the ab initio methodology, to develop an ARTNN based approach to cluster the stable folds, out of the search space. The approach implemented through either of the two models (SF-ART or FC-ART model) could help enhance the performance of obtaining the three dimensional native state by providing more productive pathway, using the crude ab initio parameters, emphasizing quality performance with reduced execution time. This could thus be considered as a productive ab initio- clustering approach. © 2014 IEEE.


Namdev N.,RGPV | Agrawal S.,RGPV | Silkari S.,RGPV
Procedia Computer Science | Year: 2015

With the advancement of technology and communication system, use of internet is giving at a tremendous role. This causes an exponential growth of data and traffic over the internet. So to correctly classify this traffic is a hot research area. Internet traffic classification is a very popular tool against the information detection system. Although so many methods had been develop to efficiently classify internet traffic but among them machine learning techniques are most popular. A brief survey on various supervised and unsupervised machine learning techniques applied by various researchers to solve internet traffic classification has been discussed. This paper also present various issues related to machine learning techniques that may help interested researchers to work future in this direction. © 2015 The Authors. Published by Elsevier B.V.

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