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Foraging ecology of Nilgiri Langur (Trachypithecus Johnii) in Parimbikulam Tiger Reserve, Kerala, India
Debahutee Roy,M. Ashokkumar,Ajay A Desai
Asian Journal of Conservation Biology , 2012,
Abstract: We studied the foraging ecology of Trachypithecus johnii from December 2011 to march 2012 in Parambikulam tiger reserve, kerala, India.We collected phenology of food plant species and food consumed by langurs living in two habitats. Feeding records showed that Nilgiri Langur (Trachypithecus johnii) feeds on 97 species of plants belonging to 44 families. The food plants species composed of trees, shrubs and climbers which were constituted 78, 6, and 7 species respectively. Among the different plant categories trees accounts for 83.87%, followed by climber 7.53%, shrub 6.45%, herb 1.08% and grass 1.08%. Thus trees and shrub were constituted about 90% of overall composition of food plant species. Food plant species composed of 44 different families, in which Fabaceae was constituted by 16 species with greatest percent (16%), followed by Euphorbiaceae (8 sp.) Moraceae (5sp.) and other families represented less than 3% .The diet species of Nilgiri Langurr was compared with other areas and discussed.
Probabilistic Prediction for Earthquake in Bangladesh: Just How Big Does the Earthquake Have to Be Next Years?  [PDF]
Shongkour Roy
Open Journal of Earthquake Research (OJER) , 2014, DOI: 10.4236/ojer.2014.32011
Abstract: Earthquakes are more deadly than any other form of natural hazard. Because of this, scientists have been searching for accurate ways to predict earthquakes so that lives can be saved. Statistical analysis is useful methods of predicting earthquakes. They provide additional insights to the seismic hazard. In this work, the statistical analysis has been described through the study of “Region of Bangladesh”. A sample result from the statistical analysis which gives intermediate term prediction of earthquakes is given. At the end of the study, the prediction of near future earth-quakes is also investigated through the pictorial and tabular behaviors.
The “Glocal” Dynamics of Construction Labor and Digital Architecture: Preston Scott Cohen’s Addition to the Tel Aviv Museum as Case Study  [PDF]
Roy Kozlovsky
Journal of Building Construction and Planning Research (JBCPR) , 2015, DOI: 10.4236/jbcpr.2015.32009
Abstract: Globalization and technological change are transforming the ways in which buildings are being designed and built. An overlooked aspect of this development is its impact on construction labor, and the significance of labor for assessing the work of architecture. The paper draws upon the sociological concept of the “glocal” to analyse the construction site as the product of the tension between global and local conditions of architectural production and consumption. The construction of Preston Scott Cohen’s 2010 Tel Aviv Museum Addition serves as its case study for theorizing the “glocal” dynamics of digital architecture, building technology and construction labor. This methodological approach highlights the role of migrant guest workers and technological transfer in contemporary construction culture. To realize with precision the complex design under local constraints, the contractor developed a hybrid work process that interspersed labor saving automated manufacturing techniques with artisanal, skilled construction work. In addition, workers and contractors exercised a high level of control over the pace and method of construction, and devised building solutions which improved upon the architect’s design. In conclusion, the paper argues that construction activity differs from broader trends in manufacturing due to the self-reflexivity of architectural design to its condition of production, but that at the same time, this critical capacity is enabled by the globalization of construction labor.
Adoption and Use of Household Microgeneration Heat Technologies  [PDF]
Sally Caird, Robin Roy
Low Carbon Economy (LCE) , 2010, DOI: 10.4236/lce.2010.12008
Abstract: The development and rapid household adoption of smallscale, low and zero carbon microgeneration technologies are key elements of UK and EU strategies to meet the challenge of climate change. Microgeneration heat technologies, including solar thermal hot water, heat pumps and biomass heating systems, have an especially important role in reducing the carbon emissions from buildings. But despite government policies to promote microgeneration, adoption by UK householders is very slow. Surveys by the Open University and Energy Saving Trust examined why over 900 UK householders decided to adopt these technologies and why many do not. These surveys describe the niche market for microgeneration heat as largely confined to environmentally concerned, older, middleclass householders, mainly living in larger properties off the mains gas network. Although these pioneer adopters are generally highly satisfied, for microgeneration heat to expand beyond its market niche, several issues need to be addressed, including: price reductions and subsidies? independent information on the suitability, performance, payback and effective use of equipment? ‘one- stop’ support from consideration to operation? improved system compatibility with smaller properties and existing buildings and heating systems? and more userfriendly and informative controls.
Performance Evaluation of Signal Strength Based Handover Algorithms  [PDF]
Sanjay Dhar ROY
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2009, DOI: 10.4236/ijcns.2009.27075
Abstract: Performance evaluation of handover algorithms has been studied for mobile cellular network. Effects of averaging, hysteresis margin and shadow fading are investigated for different handoff algorithms. Probability of outage, handover delay and average number of handovers are considered as performance metrics. Different handover algorithms considered here are based on relative signal strength with hysteresis, relative signal strength with hysteresis and threshold, absolute signal strength and combined relative and absolute signal strength. Both analytical and simulation methods have been used in this paper. This study is important as performance analyses of cellular system, in presence of handoff, will be important for future generation wireless networks, for example, WiMAX, UMTS.
Modified Shuffled Frog Leaping Algorithm for Solving Economic Load Dispatch Problem  [PDF]
Priyanka Roy, A. Chakrabarti
Energy and Power Engineering (EPE) , 2011, DOI: 10.4236/epe.2011.34068
Abstract: In the recent restructured power system scenario and complex market strategy, operation at absolute minimum cost is no longer the only criterion for dispatching electric power. The economic load dispatch (ELD) problem which accounts for minimization of both generation cost and power loss is itself a multiple conflicting objective function problem. In this paper, a modified shuffled frog-leaping algorithm (MSFLA), which is an improved version of memetic algorithm, is proposed for solving the ELD problem. It is a relatively new evolutionary method where local search is applied during the evolutionary cycle. The idea of memetic algorithm comes from memes, which unlike genes can adapt themselves. The performance of MSFLA has been shown more efficient than traditional evolutionary algorithms for such type of ELD problem. The application and validity of the proposed algorithm are demonstrated for IEEE 30 bus test system as well as a practical power network of 203 bus 264 lines 23 machines system.
Identification and Characterisation of a Bacterial Isolate Capable of Growth on Trichloroethylene as the Sole Carbon Source  [PDF]
Piyali Mukherjee, Pranab Roy
Advances in Microbiology (AiM) , 2012, DOI: 10.4236/aim.2012.23034
Abstract: The aim of this research work was to isolate microbes from soil, to investigate their potential use as effective bioremediation tools for trichloroethylene—a potent environmental pollutant. The isolate showing good growth in presence of TCE was named PM102. Microbiological characterisation of the PM102 isolate showed that it was a gram negative rod. Detailed structure was revealed by scanning electron microscopy. pH and temperature optima, salt tolerance and optimum TCE concentration for growth of PM102 were determined. The ability of this bacterium to degrade TCE was studied in acidic and neutral pH by biochemical test and chloride release. Five TCE inducible bands were detected in the protein profile of the isolate as studied by SDS PAGE. A major TCE inducible band of 51.61 kDa was excised from the gel and injected into rabbit to raise specific antibody. The bacterium was identified as Stenotrophomonas maltophilia PM102 by 16S rDNA amplification and sequencing. The 16S rRNA gene sequence has been deposited in the NCBI GenBank with accession number JQ797560. This genus has not been described previously as being capable of TCE degradation. We report for the first time a Stenotrophomonas sp. that grows on TCE as the sole carbon source.
A Simple Statistical Estimation of One’s Performance in an MCQ Examination, Based Upon Mock Test Results, Using Binomial Distribution of Probability  [PDF]
Sudipto Roy, Priyadarshi Majumdar
Open Journal of Statistics (OJS) , 2012, DOI: 10.4236/ojs.2012.24057
Abstract: A simple statistical model is proposed regarding the estimation of one’s overall performance in an MCQ examination along with the calculation of probability of obtaining a certain percentage of marks in the same. Using the data obtained from the results of a sufficiently large number of mock examinations, conducted prior to the main examination, certain parameters quantifying one’s knowledge or preparation for the examination has been calculated. Based on those parameters, the probability of obtaining a certain percentage of marks has been computed using the theory of binomial probability distribution. The dependence of this probability function on various parameters has been depicted graphically. A parameter, called the performance index, has been defined in terms of the expectation value and standard deviation of marks computed from probability distribution. Using this parameter, a new parameter called the relative performance index has been defined. This index estimates one’s performance with respect to the best possible performance. The variation of relative performance index with respect to the preparation index has been shown graphically for different parameter values quantifying various aspects regarding the examination and the examinee.
Applying Information Technology to Financial Statement Analysis for Market Capitalization Prediction  [PDF]
Hayden Wimmer, Roy Rada
Open Journal of Accounting (OJAcct) , 2013, DOI: 10.4236/ojacct.2013.21001
Abstract: Determining which attributes may be employed for predicting the market capitalization of a business firm is a challenging task which may benefit from research intersecting principles of accounting and finance with information technology. In our approach, information technology in the form of decision trees and genetic algorithms is applied to fundamental financial statement data in order to support the decision making process for predicting the direction of the value of a company with value defined as the market capitalization. The decision process differs from year to year; however, the amount of variation is crucial to a successful decision making process. The research question posed is “how much variation occurs between years?” We hypothesize the amount of variation is smaller than half the number of financial statement attributes that may be employed in the decision making process. We develop a system which tests the amount of variation between years measured as the amount of generations required to reach a target level of fitness. The hypothesis is tested using data filtered from Compustat’s global database. The results support the research hypothesis and advance us toward answering the research question. The implications of this research are the possibility to improve the decision process when employing financial statement analysis as applied to the market capitalization and financial valuation of business firms.
A Homeowner-Based Methodology for Economic Analysis of Energy-Efficiency Measures in Residences  [PDF]
Nelson Fumo, Roy Crawford
Open Journal of Energy Efficiency (OJEE) , 2013, DOI: 10.4236/ojee.2013.22013
Abstract:

Residential energy-efficiency measures, besides energy savings, provide opportunities for improvement of thermal comfort, air quality, lighting quality, and operation. However, all these benefits sometimes are not enough to convince a homeowner to pay the incremental cost associated with the energy-efficiency measure. The objective of this work is to develop a methodology for the economic evaluation of residential energy-efficiency measures that can simplify the economic analysis for the homeowner while taking into consideration all factors associated with the purchase, ownership, and selling of the house with the energy-efficiency measure. The methodology accounts for direct and indirect economic parameters associated to an energy-efficiency measure; direct parameters such as the mortgage interest and fuel price escalation rate, and indirect parameters such as savings account interest and marginal income tax rate. The methodology also considers different cases based on the service life of the energy-efficiency measure and loss of efficiency through a derating factor. To estimate the market value, the methodology uses the future energy cost savings instead of the cost of the EEM. Results from the methodology offer to homeowner annual net savings and net assets. The annual net savings gives the homeowner a measure of the annual positive cash flow that can be obtained from an energy-efficiency project; but more important, the net assets offer a measure of the added net wealth. To simplify and increase the use of the methodology by homeowners, the methodology has been implemented in an Excel tool that can be downloaded from the TxAIRE’s website.

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