oalib

Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99

Submit

Any time

2020 ( 1 )

2019 ( 95 )

2018 ( 133 )

2017 ( 115 )

Custom range...

Search Results: 1 - 10 of 22475 matches for " Kumar Rajesh "
All listed articles are free for downloading (OA Articles)
Page 1 /22475
Display every page Item
A Sustainable Energy Efficiency Solution in Power Plant by Implementation of Perform Achieve and Trade (PAT) Mechanism  [PDF]
Rajesh Kumar, Arun Agarwala
Open Journal of Energy Efficiency (OJEE) , 2013, DOI: 10.4236/ojee.2013.24020
Abstract:

An enhanced energy efficiency scheme, “Perform, Achieve and Trade” (PAT) is explored in relation to the existing carbon market in India, particularly the Clean Development Mechanism, Renewable Energy Certification and possible Nationally Appropriate Mitigation Actions. The PAT scheme incentivises energy-intensive large industries and facilities for Enhance Energy Efficiency, through technology upgrade and improvement in process. The PAT scheme currently identified 478 designated consumers from eight energy intensive industrial sectors namely, thermal power plants, iron and steel, cement, textiles, chlor-alkali, aluminum, fertilisers and pulp & paper. The threshold limit in thermal power plant sector to become a PAT designated consumer is 30,000 tonne of oil equivalent annual energy consumption. In the first PAT cycle, run through 2012 to 2015, total 144 designated consumers from various states have been identified with individual target. Thermal power plant sector has been categorized on the basis of their fuel input into three subsectors i.e. gas, oil and coal based plants. This paper reviews the state of the art in PAT mechanism design and operational features for implementation on thermal power plant sector. The possibility of implementing an Emission Trading Scheme (ETS) in India is explored from political and institutional perspectives.

Aperture Coupled Microstrip Antenna for Dual-Band  [PDF]
Rajesh Kumar Vishwakarma, Sanjay Tiwari
Wireless Engineering and Technology (WET) , 2011, DOI: 10.4236/wet.2011.22013
Abstract: This paper presents air gap aperture coupled microstrip antenna for dual-band operation over the frequency range of (2.9 to 6.0 GHz). This antenna differs from any other microstrip antenna with their feeding structure of the radiating patch element. Input signal couples to the radiating patch trough the aperture that exists on the ground plane of microstrip feed line. The dual-band achieved by variation of air gap [2 mm to 6 mm] between single patch antenna and aper-ture coupled microstrip antenna. The main advantage of this type antenna is increased the bandwidth of the antenna as compared to a single layered patch antenna. The two resonant frequencies can vary over a wide frequency range and the input impedance is easily matched for both frequencies. The obtain ratios of resonance frequencies are variable from 2.1 GHz to 1.1 GHz with increasing the air gap between single patch and aperture coupled microstrip antenna. The measured return loss [–14 dB] exhibits an impedance bandwidth of 35%. The input impedance and VSWR return loss have been measured with the help of Network analyzer.
Common Fixed Point Result of Multivalued and Singlevalued Mappings in Partially Ordered Metric Space  [PDF]
Rajesh Kumar Saini, Archana Sharma
Advances in Pure Mathematics (APM) , 2013, DOI: 10.4236/apm.2013.31019
Abstract:

In recent times the fixed point results in partially ordered metric spaces has greatly developed. In this paper we prove common fixed point results for multivalued and singlevalued mappings in partially ordered metric space. Our theorems generalized the theorem in [1] and extends the many more recent results in such spaces.

Towards Multi-Faceted Test Cases Optimization  [PDF]
Manoj Kumar, Arun Sharma, Rajesh Kumar
Journal of Software Engineering and Applications (JSEA) , 2011, DOI: 10.4236/jsea.2011.49064
Abstract: The target of software engineering is to produce high quality software product at low cost. Software testing is labour-intensive, ambiguous and error prone activity of software development. How to provide cost-effective strategies for software test cases optimization problem such as classification, minimization, selection, and prioritization has been one of the research focuses in software testing for a long time. Many researchers and academicians have addressed the effectiveness/fitness and optimization of test cases, and obtained many interesting results. However, one issue of paramount importance in software testing i.e. the intrinsic imprecise and uncertainty of test cases fitness, fitness parameters, multi-objective optimization, is left unaddressed. Test cases fitness depends on several parameters. Vagueness of fitness of test cases and their fitness parameters have created the uncertainty in test cases optimization. Cost and adequacy values are incorporated into multi-faceted optimization of test cases. This paper argues test cases optimization requires multi-faceted optimization in order to adequately cater realistic software testing. In this paper, authors have identified several parameters for test cases fitness and multiple objectives for test cases optimization. In addition above, authors have formulated the test cases optimization problem in three different ways using multi-faceted concept. These formulations can be used in future by authors and researchers.
New Efficient Estimators of Population Mean Using Non-Traditional Measures of Dispersion  [PDF]
Rajesh Kumar Gupta, Subhash Kumar Yadav
Open Journal of Statistics (OJS) , 2017, DOI: 10.4236/ojs.2017.73028
Abstract: One of the aims in survey sampling is to search for the estimators with highest efficiency. In the present paper, three improved estimators of population mean have been proposed using some non-traditional measures of dispersion of auxiliary variable such as Gini’s mean difference, Downton’s method and probability weighted moments early given by Abid [1] with a special population parameter of auxiliary variable. The large sample properties that are biased and mean squared errors of the proposed estimators have been derived up to the first order of approximation. A theoretical comparison of the proposed estimators has been made with the other existing estimators of population mean using auxiliary information. The conditions under which the proposed estimators perform better than the other existing estimators of population mean have been given. A numerical study is also carried out to see the performances of the proposed and existing estimators of population mean and verify the conditions under which proposed estimators are better than other estimators. It has been shown that the proposed estimators perform better than the existing estimators as they are having lesser mean squared error.
A Deep Dive: Does Big Data Improve Maturity in the Developed Capital Markets?  [PDF]
Rajesh Kumar Singh, Subrata Kumar Mitra
Theoretical Economics Letters (TEL) , 2019, DOI: 10.4236/tel.2019.91006
Abstract: Over this decade, the concept of big data has been applied to industries but the capital markets have been traditionally laggard to adoption. Within the financial services’ sector, Big Data has gained far more traction within retail banking and insurance due to the increasing desire of these financial institutions to profile and analyze their customers in a similar manner to early adopters of Big Data strategy such as Amazon, Baidu or Google. However, Big Data strategies have begun to make some impacts on few selected areas of the capital markets, including the social media sentiment analysis on the structured and unstructured data for trading, growth in volume, risk analytics, fraud prevention, market surveillance, predictability and forecasting of the equity prices; those are the early sign of the maturity of the capital markets. Technical and theoretical measures have evolved, but still these dimensions of the capital markets have been a mystery for the human beings till now. The Big Data in the form of structured, semi-structured and unstructured socio-economic and demographic information from social media and blogs from consumers has started indicating impacts on the capital markets which can lead to improving the real-time systems and transaction processing, and improving operational efficiency and maturity. The intent of this paper is threefold. First, it aims to bring the clear inference from the past researches to take a holistic analysis of the work done in the emerging area of Big Data and its implications on capital markets. Second, it’s to perform a deep analysis on how the influences of Big Data affect the assumptions in connection with Random Walk theory and Efficient Market Hypothesis. Third, it will provide a conclusive theoretical analysis of past research work by the scholars, which can establish the model to refine the nexus between investors’ sentiments and assets’ prices with advanced techniques in the Big Data. The paper has been divided into 4 broad sections. In the first section, the paper sets the introduction of connecting the dots and setting the context for the two different fields like Big Data and its influences on the capital markets. The second section explains the theoretical premises and frameworks needed for this research and does deep studies of the previous works in this area to establish conclusive references for the future study. The third section carries out the studies of emerging social media and technologies, analysis of
Synthesis and Characterization of Salicylate Derivatives of Dibutyl Sn(IV)-Ti(IV)-μ-Oxoisopropoxide
Rajesh Kumar
Journal of Chemistry , 2012, DOI: 10.1155/2012/450821
Abstract: New Salicylate derivatives of organoheterobimetallic-μ-oxoisopropoxide [Bu2SnO2Ti2(OPri)6] have been synthesized by the thermal condensation of μ-oxoisopropoxide compound with different salicylates in different molar ratios (1:1-1:4) yielded the compounds of the type [Bu2SnO2Ti2(OPri)6-n(RSal)n] (where n is 1-4 and RSal = Salicylate anion) respectively. The μ-oxoisopropoxide derivative has been characterized by elemental, liberated isopropanol, and spectral analysis (IR, 1H, 13C, and 119Sn NMR).
Continuing Medical Education: Operations Research in Health Care : Concepts and Methodologies
Kumar Rajesh
Indian Journal of Community Medicine , 2002,
Abstract:
Academic community medicine in 21 st century: Challenges and opportunities
Kumar Rajesh
Indian Journal of Community Medicine , 2009,
Abstract:
Development of Community Medicine Sub-specialities
Kumar Rajesh
Indian Journal of Community Medicine , 2005,
Abstract:
Page 1 /22475
Display every page Item


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.