4,151 research outputs found
sj-docx-1-pie-10.1177_09544089221125718 - Supplemental material for Transient isogeometric heat conduction analysis of stationary fluid in a container
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089221125718 for Transient isogeometric heat conduction analysis of stationary fluid in a container by Vibhushit Gupta, Shubham K Verma, Sanjeev Anand, Azher Jameel and Yatheshth Anand in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
Multistage Air Traffic Flow Management under Capacity Uncertainty: A Robust and Adaptive Optimization Approach
No full textIn this paper, we study the first application of robust and adaptive optimization in the Air Traffic Flow Management (ATFM) problem. The existing models for network-wide ATFM assume deterministic capacity estimates across airports and sectors without taking into account the uncertainty in capacities induced by weather. We introduce a weather-front based approach to model the uncertainty inherent in airspace capacity estimates resulting from the impact of a small number of weather fronts moving across the National Airspace (NAS). The key advantage of our uncertainty set construction is the low-dimensionality (uncertainty in only two parameters govern the overall uncertainty set for each airspace element). We formulate the consequent ATFM problem under capacity uncertainty within the robust and adaptive optimization framework and propose tractable solution methodologies. Our theoretical contributions are as follows: i) we propose a polyhedral description of the convex hull of the discrete uncertainty set; ii) we prove the equivalence of the robust problem to a modified instance of the deterministic problem; and iii) we solve optimally the LP relaxation of the adaptive problem using piece-wise affine policies where the number of pieces in an optimal policy are governed by the number of extreme points in the uncertainty set. A particularly attractive feature is that for most practically encountered instances, an affine policy suffices to solve the adaptive problem optimally. Finally, we report empirical results from the proposed models on real world flight schedules augmented with simulated weather fronts that illuminate the merits of our proposal. The key insights from our computational results are: i) the robust problem inherits all the attractive properties of the deterministic problem (e.g., superior integrality properties and fast computational times); and ii) the price of robustness and adaptability is typically small.National Science Foundation (U.S.) (NSF Grant EFRI-0735905
Dynamic HumTrans: Humming Transcription Using CNNs and Dynamic Programming
No full textWe propose a novel approach for humming transcription that combines a CNN-based architecture with a dynamic programming-based post-processing algorithm, utilizing the recently introduced HumTrans dataset. We identify and address inherent problems with the offset and onset ground truth provided by the dataset, offering heuristics to improve these annotations, resulting in a dataset with precise annotations that will aid future research. Additionally, we compare the transcription accuracy of our method against several others, demonstrating state-of-the-art (SOTA) results. All our code and corrected dataset is available at https://github.com/shubham-gupta-30/humming_transcriptio
Reliability-based optimization using evolutionary algorithms
No full textUncertainties in design variables and problem parameters are often inevitable and must be considered in an optimization task if reliable optimal solutions are sought. Besides a number of sampling techniques, there exist several mathematical approximations of a solution's reliability. These techniques are coupled in various ways with optimization in the classical reliability-based optimization field. This paper demonstrates how classical reliability-based concepts can be borrowed and modified and, with integrated single and multiobjective evolutionary algorithms, used to enhance their scope in handling uncertainties involved among decision variables and problem parameters. Three different optimization tasks are discussed in which classical reliability-based optimization procedures usually have difficulties, namely 1) reliability-based optimization problems having multiple local optima, 2) finding and revealing reliable solutions for different reliability indices simultaneously by means of a bi-criterion optimization approach, and 3) multiobjective optimization with uncertainty and specified system or component reliability values. Each of these optimization tasks is illustrated by solving a number of test problems and a well-studied automobile design problem. Results are also compared with a classical reliability-based methodology
Sentiment Analysis
No full textSentiment Analysis SA is an ongoing field of research in text mining field. SA sentiment analysis is the computational treatment of opinions, sentiments and text. This s paper deals in a comprehensive overview of the recent updates in this field. Many recently proposed algorithms amend and various SA applications are investigated and presented briefly in this paper. The related fields to SA transfer learning, emotion detection, and building resources that attracted researchers recently are discussed. The main objective of this paper is to give nearly full image of SA techniques and the related fields with brief details. The main contributions in this paper include the sophisticated categorizations of a large number of recent articles and the illustration of the recent trend of research in the sentiment analysis and its related areas. Prof. Richa Mehra | Diksha Saxena | Shubham Gupta | Joy Joseph "Sentiment Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23375.pd
Data for Gupta et al., "Estimating the Meridional Extent of Adiabatic Mixing in the Stratosphere using Age-of-Air", JGR:Atmospheres,
No full textModel data and post-processed data supporting the creation of the manuscript "Estimating the Meridional Extent of Adiabatic Mixing in the Stratosphere using Age-of-Air" submitted to JGR:Atmospheres in August 2022.
1) The netCDF files created through post-processing of full model data in FORTRAN are shared in the /data/ directory. These file contains the zonal mean circulation statistics based on Gupta et al. (2020), age-of-air transport diagnostics based on Linz et al. (2021), and the novel \Gamma-\Theta circulation streamfunction introduced in this study. The /data/ directory also contains MATLAB .mat data files for the transport diagnostics obtained from WACCM. 150 days of actual GFDL-FV3 model data in the northern hemisphere, between 0.1 hPa-500 hPa pressure levels is also provided to support external computations and validation.
2) The Jupyter notebook used for final computation and figures production is provided in .ipynb, .html and .pdf formats in /code/. All the files referred to in the notebook are stored in the /data/ directory.
Corresponding author : Aman Gupta, [email protected], [email protected], [email protected]
Corrigendum: Capital Inflows and House Prices: Aggregate and Regional Evidence from China
No full textIn the paper ‘Capital Inflows and House Prices: Aggregate and Regional Evidence from China’ by H. An, et al., printed in the December 2016 issue, there was a missing acknowledgement section for funding resources.
On page 451, the acknowledgement section should appear after the corresponding information as:
“Correspondence: Rakesh Gupta, Department of Accounting, Finance and Economics, Griffith Business School, Griffith University, Nathan Campus QLD 4111. [email protected]
*This work was financially supported by the Humanities and Social Science Foundation of Ministry of Education of China (16YJA790001).”
The author apologises for this error and any confusion it may have caused.No Full Tex
First person – Akash Gupta
No full textFirst Person is a series of interviews with the first authors of a selection of papers published in Biology Open, helping early-career researchers promote themselves alongside their papers. Akash Gupta is first author on ‘A novel and cost-effective ex vivo orthotopic model for the study of human breast cancer in mouse mammary gland organ culture’, published in BiO. Akash conducted the research described in this article while a PhD Scholar in Rajendra Mehta's lab at IIT Research Institute, Chicago, USA. He is now an assistant research scientist in the lab of Syreeta L. Tilghman at the University of Arizona, Department of Medicine, Tucson, USA, investigating drug efficacy modeling using human organoids culture for the treatment of cancers
Comment publier les données des musées dans le Linked Open Data ?
No full textCet article décrit le processus de publication des données de l'ensemble de la collection du Smithsonian American Art Museum (SAAM), soit 41000 objets et 8000 artistes, dans le web des données liées et ouvertes. Les chercheurs Pedro Szekely, Craig A. Knoblock, Fengyu Yang, Eleanor E. Fink, Shubham Gupta, Rachel Allen et Georgina Goodlander ont travaillé sur les problématiques suivantes : Comment transformer la base de donnée du SAAM en RDF ? Comment lier le jeu de données du SAAM à d’aut..
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