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Search Results: 1 - 10 of 325163 matches for " Dattatray S. Waghole "
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Reducing Delay Data Dissemination Using Mobile Sink in Wireless Sensor Networks
Dattatray S. Waghole,Vivek S. Deshpande
International Journal of Soft Computing & Engineering , 2013,
Abstract: Wireless Sensor Networks (WSNs) is a collection ofsensor nodes, which is spread in environmental area. Thesesensor nodes sense the data, information, Temperature andenvironmental changes from environmental area. Later it will beprovide sensing information to the Sink node. In WirelessSensor Networks hop by hop and Multi-hop communication isdone. A data packet is send to the sink node via hop to hop orMulti-hop communication. Important Parameters likecongestion, energy, Average End-to-End Delay consider at thetime of data packets communication from one node to sink node.Many times due to congestion above mention parameters AverageEnd-to-End Delay will be increased and energy also loss at theinstance of communication. Initial aim of this paper is reduceaverage End-to-End Delay using Movable Mobile Sink inuniform Random Wireless Sensor Network. Energy Consumptionand Traffic control also other important parameters consider atthe time of analysis. Movable mobile sink node reduces AverageEnd-to -End Delay drastically when mobile Sink node movesfrom left side to Right side Direction. Mobile Sink is also movingdifferent Direction so Mobile sinks collect the data movingthrough different direction. So, delay is reducing drastically fordata packets collection from the networks. In this paper theresolve energy consumption, congestion and Average End-to –EndDelay problem for collection of data packets in the network.
Multiresolution Feature Based Fractional Power Polynomial Kernel Fisher Discriminant Model for Face Recognition
Dattatray V. Jadhav,Jayant V. Kulkarni,Raghunath S. Holambe
Journal of Multimedia , 2008, DOI: 10.4304/jmm.3.1.47-53
Abstract: This paper prese nts a technique for face recognition which uses wavelet transform to derive desirable facial features. Three level decompositions are used to form the pyramidal multiresolution features to cope with the variations due to illumination and facial expression changes. The fractional power polynomial kernel maps the input data into an implicit feature space with a nonlinear mapping. Being linear in the feature space, but nonlinear in the input space, kernel is capable of deriving low dimensional features that incorporate higher order statistic. The Linear Discriminant Analysis is applied to kernel mapped multiresolution featured data. The effectiveness of this Wavelet Kernel Fisher Classifier algorithm is compared with the different existing popular algorithms for face recognition using FERET, ORL Yale and YaleB databases. This algorithm performs better than some of the existing popular algorithms.
Derivation of Multipurpose Single Reservoir Release Policies with Fuzzy Constraints  [PDF]
Dattatray G. Regulwar, Ravindra U. Kamodkar
Journal of Water Resource and Protection (JWARP) , 2010, DOI: 10.4236/jwarp.2010.212123
Abstract: Recent research modeling uncertainty in water resource systems has highlighted the use of fuzzy logic based approaches. The uncertainties in water resource systems include fuzziness, subjectivity, imprecision and lack of adequate data. In this paper we focus on Fuzzy Linear Programming (FLP) problem for reservoir opera- tion with fuzzy objectives function and fuzzy constraints. Uncertainty in reservoir operation parameters such as reservoir storages, releases for irrigation, releases for hydropower production, irrigation demands, and power demands are considered by treating them as a fuzzy set. This study is devoted to the identification of optimal operating policy using three different models. A fuzzy linear programming reservoir operation models are developed within a linear programming framework. These models are applied to a case study of Jayakwadi reservoir stage -II, Maharashtra State, India with the objective of maximization of releases for irrigation and hydropower. Fuzzy set theory is used to model imprecision in various parameters by developing three models. First model considers fuzzy resources, second model is with fuzzy technological coefficients and third model considers both, fuzzy technological coefficients and fuzzy resources in linear programming framework. Fuzziness in objective function and in the constraints is quantified by a membership functions. These three models are solved to obtain compromise solution by simultaneously optimizing the fuzzified objectives and constraints. The degree of satisfaction is obtained by simultaneously optimizing the objectives are 0.53, 0.52 and 0.525 by three models respectively. The obtained result show that proposed methodology provides an effective and useful tool for reservoir operation where decision maker can decides to opt for a model depends on the imprecision involved in reservoir operation model parameters.
Assessment of Climate Change for Precipitation and Temperature Using Statistical Downscaling Methods in Upper Godavari River Basin, India  [PDF]
Vidya R. Saraf, Dattatray G. Regulwar
Journal of Water Resource and Protection (JWARP) , 2016, DOI: 10.4236/jwarp.2016.81004
Abstract: In the present study SDSM downscaling model was used as a tool for downscaling weather data statistically in upper Godavari river basin. Two Global Climate Models (GCMs), CGCM3 and HadCM3, have been used to project future maximum temperature (Tmax), minimum temperature (Tmin) and precipitation. The predictor variables are extracted from: 1) the National Centre for Environmental Prediction (NCEP) reanalysis dataset for the period 1961-2003, 2) the simulations from the third-generation Hadlycentre Coupled Climate Model (HadCM3) and Coupled Global Climate Model (CGCM3) variability and changes in Tmax, Tmin and precipitation under scenarios A1B and A2 of CGCM3 model and A2 and B2 of HadCM3 model have been presented for future periods: 2020s, 2050s and 2080s. The scatter-plots and cross-correlations are used for verifying the reliability of the simulation. Maximum temperature increases in future for almost all the scenarios for both GCMs. Also downscaled future precipitation shows increasing trends for all scenarios.
Sanap Gajanan S,Laddha Sachin S,Sayyed Tarannum, Garje Dattatray H
International Research Journal of Pharmacy , 2011,
Abstract: Nanomedicine is the process of diagnosing, treating, and preventing disease and traumatic injury, of relieving pain, and of preserving and improving human health, using molecular tools and molecular knowledge of the human body. In the relatively near term, nanomedicine can address many important medical problems by using nanoscale-structured materials and simple nanodevices that can be manufactured today, including the interaction of nanostructured materials with biological systems. The authors predict that technology-assisted medicine and robotics in particular, will have a significant impact over the next few decades. Robots will augment the surgeon’s motor performance, diagnosis capability, and senses with haptics (feel), augmented reality (sight), and ultrasound (sound). Robotic devices have been used in cardiac surgery, urology, fetal surgery, pediatrics, neurosurgery, orthopedics, and many other medical disciplines. In this article, we present the Nanorobot drug delivery to brain tumor, paying special attention to the transformation trends of organizations, and the integration of robots in brain tumor and underscoring potential repercussions which may deserve more attention and further research.
Design and Analysis of Single Plate Blast Resistant Door
Nilesh S. Aitavade,Dattatray N. Jadhav,Devidas R. Thorat,Satish A. Ramavat
International Journal on Theoretical and Applied Research in Mechanical Engineering , 2013,
Abstract: Blast Resistant Doors are used to withstand high intensity impulsive blast loads. They are designed to prevent the impact of the blast from travelling from one side to the other side of the door. Taking into account the limitations and the growing need of efficient blast resistant doors, a design was developed using ASTM A36 as the material of construction instead of concrete. Analytical calculations for the actual pressure-impulse loading condition were done as per the UFC 3-340-02, and the results of analytical calculations were compared with results of the simulation of the numerical model for the given boundary conditions.
NO2 and Humidity Sensing Characteristics of Few-layer Graphene
Anupama Ghosh,Dattatray J. Late,L. S. Panchakarla,A. Govindaraj,C. N. R. Rao
Physics , 2009, DOI: 10.1080/17458080903115379
Abstract: Sensing characteristics of few-layer graphenes for NO2 and humidity have been investigated with graphene samples prepared by the thermal exfoliation of graphitic oxide (EG), conversion of nanodiamond (DG) and arc-discharge of graphite in hydrogen (HG). The sensitivity for NO2 is found to be highest with DG. Nitrogen-doped HG (n-type) shows increased sensitivity for NO2 compared to pure HG. The highest sensitivity for humidity is observed with HG. The sensing characteristics of graphene have been examined for different aliphatic alcohols and the sensitivity is found to vary with the chain length and branching.
Highly Efficient Commutatorless DC Generator
Umesh Dattatray Hajare,Mahesh Dattatray Hajare
International Journal on Theoretical and Applied Research in Mechanical Engineering , 2013,
Abstract: I am going to present here how to design a highly efficient dc generator without using any commutator on its shaft. I am going to design such a dc generator in which there will be zero core losses and negligible friction and windage losses as well as the weight of rotor is also reduced 10 times lesser than ordinary rotors. Core losses are nullified by using thin insulator material for rotor core able to carry rotor windings. Power consumed by field poles is zero because they are neodymium permanent magnets. Weight of rotor is reduced by using a light weight nonmagnetic and nonmetal material. Reluctance of rotor material doesn’t matter here because of a strong magnetic field produced by field magnets. A disc rotor with slots on its inner and outer periphery is wound by aluminium coil. Aluminium coil and disc rotor will minimise the weight of rotating body of machine minimising inertia of machine. In this way the only energy consumed in machine is the power required for electromechanical energy conversion, i.e. power required to convert mechanical power into electrical power to be taken out from generator terminals. So the overall efficiency can reach up to 99.99 %( theoretically).
Fabrication and textural characterization of nanoporous carbon electrodes embedded with CuO nanoparticles for supercapacitors
Kumaresa P S Prasad, Dattatray S Dhawale, Thiripuranthagan Sivakumar, Salem S Aldeyab, Javaid S M Zaidi, Katsuhiko Ariga and Ajayan Vinu
Science and Technology of Advanced Materials , 2011,
Abstract: We introduce a novel strategy of fabricating nanoporous carbons loaded with different amounts of CuO nanoparticles via a hard templating approach, using copper-containing mesoporous silica as the template and sucrose as the carbon source. The nature and dispersion of the CuO nanoparticles on the surface of the nanoporous carbons were investigated by x-ray diffraction (XRD), high-resolution scanning electron microscopy (HRSEM) and high-resolution transmission electron microscopy (HRTEM). XRD results reveal that nanoporous carbons with embedded CuO nanoparticles exhibit a well-ordered mesoporous structure, whereas the nitrogen adsorption measurements indicate the presence of excellent textural characteristics such as high surface area, large pore volume and uniform pore size distribution. The amount of CuO nanoparticles in the nanochannels of the nanoporous carbon could be controlled by simply varying the Si/Cu molar ratio of the mesoporous silica template. Morphological characterization by SEM and TEM reveals that high-quality CuO nanoparticles are distributed homogeneously within the nanoporous carbon framework. The supercapacitance behavior of the CuO-loaded nanoporous carbons was investigated. The material with a small amount of CuO in the mesochannels and high surface area affords a maximum specific capacitance of 300 F g-1 at a 20 mV s-1 scan rate in an aqueous electrolyte solution. A supercapacitor containing the CuO-loaded nanoporous carbon is highly stable and exhibits a long cycle life with 91% specific capacitance retained after 1000 cycles.
Golden Research Thoughts , 2012, DOI: 10.9780/22315063
Abstract: The process of development coupled with increasing liberalisation and globalisation across the country has enabled consumers to realise their increasingly important role in society and governance. However, concentration of the market power in the hands of a select few has affected consumers' behaviour over time. In a developing country like India where the incidence of poverty and unemployment is very high and the level of literacy is very low, the people face a volume of problems, particularly in the context of consumer related issues. Unlike in the developed world, consumers in these countries have not been able to play a greater role in the development process. In this paper an analysis has been to explore the consumer protection and consumerism in India.
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