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Bamnote G.R.,Prof Ram Meghe Institute of Technology and Research
Smart Innovation, Systems and Technologies | Year: 2016

A tremendous increase has taken place in the amount of online content. As a result, by using traditional approaches, service-relevant data becomes too big to be effectively processed. In order to solve this problem, an approach called clustering based collaborative filtering (CF) is proposed in this paper. Its objective is to recommend services collaboratively in the same clusters. It is a very successful approach in such settings where interaction can be done between data analysis and querying. However the large systems which have large data and users, the collaboration are many times delayed due to unrealistic runtimes. The proposed approach works in two stages. First, the services which are available are divided into small clusters for processing and then collaborative filtering algorithm is used in second stage on one of the clusters. It is estimated to decrease the online execution time of collaborative filtering algorithm because the number of the services in a cluster is much less than the entire services available on the web. © Springer International Publishing Switzerland 2016.


Chitlange M.R.,Government Polytechnic | Pajgade P.S.,Prof Ram Meghe Institute Of Technology And Research
Journal of Engineering and Applied Sciences | Year: 2010

The huge quantity of concrete is consumed by the construction industry all over the world, probably second largest after water. In India, the conventional concrete is produced by using natural sand from riverbeds as fine aggregate. Dwindling sand resources poses the environmental problem and hence government restrictions on sand quarrying resulted in scarcity and significant increase in its cost. This paper presents the study of steel fiber reinforced concrete with artificial sand as fine aggregate. Three matrices with compressive strength 20, 30 and 40 MPa were designed and reinforced with crimpled steel fibers at dosage rate of volume fraction 0, 0.5, 1.0, 1.5 and 2.0 percent. The specimens were prepared, cured and tested for compressive strength, flexural strength and split tensile strength. The strength of steel fiber reinforced natural sand concrete (SFRNSC) and steel fiber reinforced artificial sand concrete (SFRASC) have been compared with the test data from the present study. The promotional use of artificial sand will conserve the natural resources for the sustainable development of the concrete in construction industry. © 2006-2010 Asian Research Publishing Network (ARPN).


Deshpande N.V.,Indian National Institute of Engineering | Kale N.W.,Indian National Institute of Engineering | Deshmukh S.J.,Prof Ram Meghe Institute Of Technology And Research
Energy for Sustainable Development | Year: 2012

In 2005 the government of India declared its policy for development of biofuels. The Ministry of New and Renewable Energy Sources of India has identified around 400 oil seed species available in the forests of India, which can be used for various applications including that as biofuels. Due to lack of detailed studies and non-availability of mechanism for the collections of these oilseeds, this source has remained largely untapped. The National Oilseed and Vegetable Oil Development Board (NOVOD) is working on strategies to promote studies and for establishing mechanisms for collection. These biofuels can be effectively used to meet some or all of the energy needs of remote un-electrified villages. This can be achieved by generating electricity at village level, in a decentralized manner by using small capacity generator sets running on biodiesel derived from locally available oils. In this case it will be essential to find techniques for utilization of non-edible de-oiled seedcake obtained as the byproduct of this process. Using the seedcake for biogas generation by anaerobic digestion process is a promising option. Mahua (. Madhuca indica) is a specie naturally available with high tree density in most parts of India. In addition one less familiar oil seed specie available in central India is Hingan (Balanites aegyaptiaca). The paper investigates the suitability of de-oiled cakes of these two oilseeds for biogas generation. This investigation reveals that both the seedcakes have a mean biogas generation potential in the range of 198 to 233 l/kg of seedcake. The biogas generated from these sources could make a significant contribution to cooking energy demand in rural areas. The paper also highlights the fact that the sludge and the slurry coming out of the reactor as waste have very high manurial value by virtue of its high nitrogen content and a good amount of other secondary and tertiary nutrients. © 2012 International Energy Initiative.


Kelo S.M.,Prof Ram Meghe Institute Of Technology And Research | Dudul S.V.,Sant Gadge Baba Amravati University
Expert Systems with Applications | Year: 2011

In this paper, the parameter-wise optimization training process is implemented to achieve an optimal configuration of focused time lagged recurrent neural network (FTLRNN) models by embedding the gamma, laguarre, and multi-channel tapped delay line memory structure. The aim is to examine the prediction ability of the proposed models in order to predict one-day-ahead electric power load simultaneously as usual to oppose 1-24 h forecast in sequel with a special emphasis on seasonal changes over a year. An improved delta-bar-delta algorithm is used to accelerate the training of neural networks and to improve the stability of the convergence. Experimental results indicate that the FTLRNN with time delay neural network (TDNN) clearly outperformed the gamma and laguarre based short-term memory structure in various performance metrics such as mean square error (MSE), normalized MSE, correlation coefficient (r) and mean absolute percentage error (MAPE) during evaluation process. Empirical results show that the proposed dynamic NN model consistently performs well on daily, weekly, and monthly average basis in terms of prediction accuracy. It is noticed from the literature review that an optimally configured FTLRNN with multi-channel tapped delay line memory structure is not currently available to solve short-term electrical power load prediction. The proposed method gives acceptable errors in all seasons, months and on daily basis. The average prediction error on three weeks is obtained as low as 1.67%. © 2010 Elsevier Ltd. All rights reserved.


Thakare A.D.,College of Engineering, Pune | Dhote C.A.,Prof Ram Meghe Institute Of Technology And Research
Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013 | Year: 2013

This article presents a novel information retrieval algorithms using genetic algorithm to increase the performance of information retrieval system. The novel matching functions called Overall Matching Function (OMF) and Virtual Center based Matching Function (VCF) are proposed for improving the retrieval performance. Overall Matching Function gives the results by finding the average of matching scores from classical matching functions and VCF is based on finding the virtual center from the set of centroids present in clustering space. VCF based Genetic Algorithm (VCGA) are used for information retrieval. Working of both the matching functions is compared to check the performance. We got promising results. This paper is presented as extension to our previous research papers in which the idea of GA based model for clustering and retrieval was proposed and the algorithms for VCF and VCGA was propose. The experimental results show improved values for precision and recall if retrieval is done using VCF and VCGA. © 2013 IEEE.


Bobade R.S.,Prof Ram Meghe Institute Of Technology And Research
Journal of Polymer Engineering | Year: 2011

Conducting polymers (CPs) provide a class of processible, film forming semiconductors and metals. Electrical and optical properties of CPs, similar to those of metals and semiconductors, and the attractive properties associated with conventional polymers such as ease of synthesis and processing, has given these polymers a wide range of applications in the microelectronics industry, in biological field and also as humidity, chemical and mechanical sensors. The principal interest in the use of polymers lies in the scope for low cost manufacturing. Organic polymers offer several advantages over analogous inorganic semiconductors, the most important of which are the processability and the large surface film technology together with the possibility of tuning the polymer properties through a chemical design of the constituent units. In contrast, problems of environmental stability and the inability to process these into useful devices constitute the main drawbacks of organic materials. To set a material suitable for applications in various technological fields one has to improve the processability, mechanical strength and environmental stability of the polyheterocycles: one method adopted to do this is synthesizing the composites of conducting polymers within a matrix of insulating polymers. In this paper, the science of conducting polymers will be discussed. A review from literature on selected applications of organic devices based on conducting polythiophene and its composites will be discussed with a view to targeting the areas of future research in this topic. © 2011 by Walter de Gruyter. Berlin. Boston.


Mohod S.W.,Prof Ram Meghe Institute Of Technology And Research | Mohod S.W.,Visvesvaraya National Institute of Technology | Aware M.V.,Visvesvaraya National Institute of Technology
IEEE Systems Journal | Year: 2012

In the micro-grid network, it is especially difficult to support the critical load without uninterrupted power supply. The proposed micro-wind energy conversion system with battery energy storage is used to exchange the controllable real and reactive power in the grid and to maintain the power quality norms as per International Electro-Technical Commission IEC-61400-21 at the point of common coupling. The generated micro-wind power can be extracted under varying wind speed and can be stored in the batteries at low power demand hours. In this scheme, inverter control is executed with hysteresis current control mode to achieve the faster dynamic switchover for the support of critical load. The combination of battery storage with micro-wind energy generation system (μ WEGS), which will synthesize the output waveform by injecting or absorbing reactive power and enable the real power flow required by the load. The system reduces the burden on the conventional source and utilizes μ WEGS and battery storage power under critical load constraints. The system provides rapid response to support the critical loads. The scheme can also be operated as a stand-alone system in case of grid failure like a uninterrupted power supply. The system is simulated in MATLAB/SIMULINK and results are presented. © 2011 IEEE.


Thakare A.D.,College of Engineering, Pune | Dhote C.A.,Prof Ram Meghe Institute Of Technology And Research
Proceedings - 1st International Conference on Computing, Communication, Control and Automation, ICCUBEA 2015 | Year: 2015

Clustering is an unsupervised technique, which partitions the entire input space into regions. These initial partitions have a great impact on the resulting clusters. In this paper, a new Multi Stage Genetic Clustering (MSGC) scheme for multiobjective optimization in data clustering is proposed, which can automatically partition the data into an appropriate number of clusters. K-means is a well-known centroid based algorithm for data clustering and due to a random selection of initial centroids it mostly results into local optima. To overcome this and to get the optimal clusters Genetic Algorithm (GA) is applied at two stages with multiple objective functions. The scheme, proposed in this paper works in two stages for four objective functions. In the sequel, two objective functions in the first stage get the initial partitions, and the other two give optimal cluster centers. The proposed MSGC scheme is implemented for globally accepted datasets, and the results have been compared in terms of Intracluster distance and error rate. The performance analysis shows that MSGC performs significantly better. The results are compared with the existing algorithms to validate our findings. The overall average performance improvement is seen. The average error rate is also minimized, for example, by eight to ten percent for the thyroid dataset as compared to the existing algorithms. © 2015 IEEE.


Mohod S.W.,Prof Ram Meghe Institute Of Technology And Research | Hatwar S.M.,Prof Ram Meghe Institute Of Technology And Research | Aware M.V.,Visvesvaraya National Institute of Technology
Energy Procedia | Year: 2011

The proposed wind energy conversion system with battery energy storage is used to exchange the controllable real and reactive power in the grid and to maintain the power quality norms as per International Electro-technical commission IEC-61400-21 at the point of common coupling. The generated wind power can be extracted under varying wind speed and can be stored in the batteries at low power demand hours. In this scheme, inverter control is executed with hysteresis current control mode to achieve the faster dynamic switchover for the support of grid. The combinations of battery storage with wind energy generation system, which will synthesizes the output waveform by injecting or absorbing reactive power and enable the real power flow required by the load. The system reduces the burden on the conventional source and utilizes WEGS and battery storage power under load constraints. The system provides rapid response to support the grid. The scheme can also be operated as a stand-alone system in case of grid failure like a uninterrupted power supply. The system is simulated in MATLAB and results are presented. © 2011 Published by Elsevier Ltd.


Mehrotra S.,International Institute of Information Technology, Hyderabad | Dhande R.,Prof Ram Meghe Institute of Technology and Research
Proceedings of the 2015 International Conference on Green Computing and Internet of Things, ICGCIoT 2015 | Year: 2015

There is a buzz around the world about building smart cities and smart homes. Smart cities in brief can be defined as a city which uses digital technologies or information-communication technologies to make life of living beings more efficient and comfortable. Smart Home, comprising smart devices in the home context, promises enormous possibilities to our future life. At the same time, it might have its own influence to change our living habits. This paper sets to provide a way-out on how can a city and a home aspiring to become smart can really achieve it with putting up challenges that will be encountered in the path of achieving the goal. © 2015 IEEE.

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