4,945 research outputs found
Ashish Bose, P. B. Desai, Asok Mitra, J. N. Sharma (dir.), Population in India's development 1947-2000
No full textÉtienne Gilbert. Ashish Bose, P. B. Desai, Asok Mitra, J. N. Sharma (dir.), Population in India's development 1947-2000. In: Tiers-Monde, tome 18, n°69, 1977. Migrations et développement, sous la direction de Bernard Kayser. pp. 202-203
WASP: Wavelet System Prediction
No full text<p>The wavelet-based variance transformation method is used for system modelling and prediction. It refines predictor spectral representation using Wavelet Theory, which leads to improved model specifications and prediction accuracy. Details of methodologies used in the package can be found in Jiang, Z., Sharma, A., & Johnson, F. (2020) <<a href="https://doi.org/10.1029%2F2019WR026962" target="_top">doi:10.1029/2019WR026962</a>>, Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <<a href="https://doi.org/10.1016%2Fj.envsoft.2020.104907" target="_top">doi:10.1016/j.envsoft.2020.104907</a>>, and Jiang, Z., Sharma, A., & Johnson, F. (2021) <<a href="https://doi.org/10.1016%2FJ.JHYDROL.2021.126816" target="_top">doi:10.1016/J.JHYDROL.2021.126816</a>>.</p>
Simulating design rainfall extremes in locations with limited observational records
No full textThe prospect of climatic change and its impacts have brought spatial statistics of extreme events into sharper focus. The so-called "water bombs" or "explosive cyclones" are predicted to become more frequent in the extra-tropical regions, and, actually, they raise serious concerns in some regions of the Mediterranean area. However, quantitative statistical methods to properly account for the probability of occurrence of these super-extreme events in formerly untouched areas are still lacking. This is due to their rare occurrence and to the limited spatial scale at which these events occur. In order to overcome the lack of data, different studies concerning flood frequency analysis underline the importance of combining local flood data with additional types of information, to improve the quality of the estimation of the exceedance probability for a given discharge. We propose to apply such a kind of approach in extreme rainfall frequency analysis, with the adoption of a Bayesian framework, aimed at combining local gauge information, discontinuous in space and time, with climatic regional information. The identification of this type of hierarchic relationship can complement local information, conditioning the exceedance probability to the large and meso-scale characteristics of the system, allowing the simulation of design rainfall extremes in sites where historical evidence of that hazard is lacking. The Bayesian approach allows us also to keep track of all the uncertainties involved in the prediction process, producing a measure of uncertainty associated to the estimates. The case study refers to a database of daily rainfall measurements extracted from the NOAA GHCN-Daily dataset, recorded during the 20th century by 700 rain gauges distributed in the Mediterranean basin. First, to identify the conditional variables, we analyse the large-scale environment associated with the different intense precipitation systems in the Mediterranean area, exploiting the reanalysis of the European Centre for Medium-Range Weather Forecasts (ERA-20). With the aim to define the hierarchical relationships between the events and their type, we relate the daily precipitation with different parameters both atmospherical and local. Despite the high variability, different climatic configurations that combined with the local morphology and the seasonal condition of the Mediterranean Sea can trigger very intense precipitation events are identified. Once defined the hierarchical relationships, the parameters are calibrated and the methodology is tested on a subset of daily series provided by local authorities, evenly distributed on the whole domain. The results, compared with those obtained with the classic techniques of frequency analysis and spatial interpolation, demonstrate an increased knowledge coming from climate and local factors, ensuring more reliable and accurate spatial assessment of extreme thunderstorm probabilit
Visualising anthropomorphism as a creative communicative mode in Samit Basu and Ashish Padlekar’s The Tall Tales of Vishnu Sharma: Panchatantra
No full textIn today’s ocular-centric era, vision and visuality play a significant role in representing ideas. This article analyses anthropomorphism as a communicative mode that helps readers comprehend a story’s underlying meaning, using a socio-semiotics metafunction as a lens. The study focuses on Samit Basu and Ashish Padlekar’s adaptation of the famous Panchatantra collection, The Tall Tales of Vishnu Sharma: Panchatantra (published in 2015), where creatures with the ability to speak are the central characters. This story emphasises a diverse group of characters from the world of Panchatantra who communicate their problems to Vishnu Sharma, their chosen guardian, through the transformation of animals into humans. Through the use of animated letters, mascots, and anthropomorphic parameters, barriers can be eliminated in a creative approach. The paper underscores the significance of studying signs and interpreting visually represented social phenomena in order to articulate culture, society, and historical context. The research is divided into two sections: the first section explores the function of images by analysing image artefacts that question the presence of anthropomorphism. In contrast, the second section introduces the four degrees of anthropomorphism and their characteristics. The hypothesis posits that anthropomorphism can effectively convey meaning, especially in stories aimed at children. This study seeks to contribute to a greater comprehension of the use of anthropomorphism as a creative mode of communication in contemporary literature
Loan pricing model : design and implementation
No full textThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.Includes bibliographical references (leaf 40).by Ashish Sharma.M.Eng
A Decomposition Approach to the Weighted k-Server Problem
No full textA natural variant of the classical online k-server problem is the weighted k-server problem, where the cost of moving a server is its weight times the distance through which it moves. Despite its apparent simplicity, the weighted k-server problem is extremely poorly understood. Specifically, even on uniform metric spaces, finding the optimum competitive ratio of randomized algorithms remains an open problem - the best upper bound known is 2^{2^{k+O(1)}} due to a deterministic algorithm (Bansal et al., 2018), and the best lower bound known is Ω(2^k) (Ayyadevara and Chiplunkar, 2021).
With the aim of closing this exponential gap between the upper and lower bounds, we propose a decomposition approach for designing a randomized algorithm for weighted k-server on uniform metrics. Our first contribution includes two relaxed versions of the problem and a technique to obtain an algorithm for weighted k-server from algorithms for the two relaxed versions. Specifically, we prove that if there exists an α₁-competitive algorithm for one version (which we call Weighted k-Server - Service Pattern Construction) and there exists an α₂-competitive algorithm for the other version (which we call Weighted k-server - Revealed Service Pattern), then there exists an (α₁α₂)-competitive algorithm for weighted k-server on uniform metric spaces. Our second contribution is a 2^O(k²)-competitive randomized algorithm for Weighted k-server - Revealed Service Pattern. As a consequence, the task of designing a 2^poly(k)-competitive randomized algorithm for weighted k-server on uniform metrics reduces to designing a 2^poly(k)-competitive randomized algorithm for Weighted k-Server - Service Pattern Construction. Finally, we also prove that the Ω(2^k) lower bound for weighted k-server, in fact, holds for Weighted k-server - Revealed Service Pattern
A global assessment of the timing of extreme rainfall from TRMM and GPM for improving hydrologic design
No full textThe tropical rainfall measuring mission (TRMM) has revolutionized the measurement of precipitation worldwide. However, TRMM significantly underestimates rainfall in deep convection systems, being therefore of little help for the analysis of extreme precipitation depths. This work evaluates the ability of both TRMM and the recently launched global precipitation measurement (GPM) mission to help in the identification of the timing of severe rainfall events. We compare the date of occurrence of the most severe daily rainfall recorded each year by a global rain gauge network with the ones estimated by TRMM. The match rate between the two is found to approach 50%, indicating significant consistency between the two data sources. This figure rises to 60% for GPM, indicating the potential for this new mission to improve the accuracy associated with TRMM. Further efforts are needed in improving the GPM conversion algorithms in order to reduce the bias affecting the estimation of intense depths. The results however show that the timing estimated from GPM can provide a solid basis for an extensive characterization of the spatio-temporal distribution of extreme rainfall in poorly gauged regions of the world
Meta-Data of Papers in India Software Engineering Conference from 2008 to 2016
No full textThe India Software Engineering
Conference (ISEC) is an annual conference in the field of Software Engineering
(SE) in India. ISEC started in the year 2008 and completed 9 years in 2016. The
dataset contains meta-data of 9 years of ISEC publications and programs. The dataset contains information about ISEC
program (paper submission data, tutorials, workshops, keynotes, invited talks, geographical
location, programs and general chairs), author-affiliation-based geographical contributions
(international and national levels), topics, university and industry
collaborations, contributions across university types in India, prolific
authors and new authors, gender equality and imbalance, program committee
characteristics, open-source or close-source datasets and citation-based impact.
A paper on the dataset analysis is published in ACM SIGSOFT Software
Engineering Notes (September Issue 2016). The title of the paper is “A Nine
Year Story of the India Software Engineering Conference from 2008 to 2016”
published by Richa Sharma and Ashish Sureka. </p
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