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Institution

International Institute of Information Technology, Hyderabad

EducationHyderabad, India
About: International Institute of Information Technology, Hyderabad is a education organization based out in Hyderabad, India. It is known for research contribution in the topics: Authentication & Internet security. The organization has 2048 authors who have published 3677 publications receiving 45319 citations. The organization is also known as: IIIT Hyderabad & International Institute of Information Technology (IIIT).


Papers
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Proceedings ArticleDOI
05 Feb 2017
TL;DR: An experimental study to measure the impact of gamification on code review process using 5 different code review tools, including one gamified code review instance from the authors' extensible architectural framework.
Abstract: Researchers have supported the idea of gamification to enhance students' interest in activities like code reviews, change management, knowledge management, issue tracking, etc. which might otherwise be repetitive and monotonous. We performed an experimental study consisting of nearly 180+ participants to measure the impact of gamification on code review process using 5 different code review tools, including one gamified code review instance from our extensible architectural framework. We assess the impact of gamification based on the code smells and bugs identified in a gamified and non-gamified environment as per code inspection report. Further, measurement and comparison of the quantity and usefulness of code review comments was done using machine learning techniques.

28 citations

Journal ArticleDOI
TL;DR: In this paper, the authors considered all possible vector LQ models within the Buchm\"uller-R\"uckl-Wyler classifications with the desired decay and proposed simple phenomenological Lagrangians for bottom-up/experimental studies.
Abstract: At the LHC, a TeV-scale leptoquark (LQ) that decays dominantly to a top quark ($t$) and a light charged lepton ($\ensuremath{\ell}=e$, $\ensuremath{\mu}$) would form a resonance system of boosted-$t+$ high-${p}_{\mathrm{T}}\text{\ensuremath{-}}\ensuremath{\ell}$. We consider all possible vector LQ models within the Buchm\"uller-R\"uckl-Wyler classifications with the desired decay. We propose simple phenomenological Lagrangians that are suitable for bottom-up/experimental studies and, at the same time, can cover the relevant parameter spaces of these models. In this simplified framework, we study the pair and single production channels of vector LQs at the LHC. Interestingly, we find that, like the pair production, the cross sections of some single production processes also depend on the parameter $\ensuremath{\kappa}$ that appears in the gluon-vector LQ coupling. We adopt a search strategy of selecting events with at least one boosted hadronic top quark and exactly two high-${p}_{\mathrm{T}}$ leptons of the same flavor and opposite sign. This combines events from the pair and single production processes and, therefore, can enhance the discovery potential beyond that of the pair-production-only searches. For $5\ensuremath{\sigma}$ discovery we find that vector LQs can be probed up to 2.55 TeV for 100% branching ratio in the $t\ensuremath{\ell}$ decay mode and $\mathcal{O}(1)$ new couplings at the 14 TeV LHC with $3\text{ }\text{ }{\mathrm{ab}}^{\ensuremath{-}1}$ of integrated luminosity.

28 citations

Journal ArticleDOI
TL;DR: In this article, aqueous solutions of N-ethylpyrrolidone (EP, system chosen to model the monomeric form of PVP) and Au/Pd bimetallic NPs were investigated using molecular dynamics simulations and density functional theory (DFT) method.
Abstract: Bimetallic nanoparticles (NPs) have been shown to exhibit certain advantages over pure NPs in catalysis due to a synergistic effect. It is common to disperse NPs in a polymer matrix such as polyvinylpyrrolidone (PVP) to prevent flocculation, which imparts considerable electronic effects on the NPs. In the present study, the interactions between aqueous solutions of N-ethylpyrrolidone (EP, system chosen to model the monomeric form of PVP) and Au/Pd bimetallic NPs, which are relevant in catalysis, have been investigated using molecular dynamics simulations and density functional theory (DFT) method. The adequacy of the force fields used was assessed based on their ability to reproduce the structures and adsorption energies obtained using DFT calculations. The interactions of NPs with the environment were studied at various concentrations of aqueous solutions of EP to examine the strength of NP–EP and NP–water interactions. Free energy calculations and local mole fraction enhancement values show that that th...

28 citations

Journal ArticleDOI
TL;DR: Functional magnetic resonance imaging was used to measure brain responses of participants while they were listening to a piece of music containing strong contrasts in beat salience, and partial dissociation of functional networks belonging to this pathway revealed complementary neural mechanisms crucial in beat inference and maintenance, processes pivotal for extracting and predicting temporal regularities in the authors' environment.

28 citations

Proceedings ArticleDOI
01 Aug 2018
TL;DR: This work proposes a super resolution based preprocessing step that can enhance the accuracies of the OCRs (including the commercial ones), and proves the utility in wide variety of document images without any pre-processing step to adapt across situations.
Abstract: Accuracy of OCR is often marred by the poor quality of the input document images. Generally this performance degradation is attributed to the resolution and quality of scanning. This calls for special efforts to improve the quality of document images before passing it to the OCR engine. One compelling option is to super-resolve these low resolution document images before passing them to the OCR engine. In this work we address this problem by super-resolving document images using Generative Adversarial Network (GAN). We propose a super resolution based preprocessing step that can enhance the accuracies of the OCRs (including the commercial ones). Our method is specially suited for printed document images. We validate the utility in wide variety of document images (where fonts, styles, and languages vary) without any pre-processing step to adapt across situations. Our experiments show an improvement upto 21% in accuracy OCR on test images scanned at low resolution. One immediate application of this can be in enhancing the recognition of historic documents which have been scanned at low resolutions.

27 citations


Authors

Showing all 2066 results

NameH-indexPapersCitations
Ravi Shankar6667219326
Joakim Nivre6129517203
Aravind K. Joshi5924916417
Ashok Kumar Das562789166
Malcolm F. White5517210762
B. Yegnanarayana5434012861
Ram Bilas Pachori481828140
C. V. Jawahar454799582
Saurabh Garg402066738
Himanshu Thapliyal362013992
Monika Sharma362384412
Ponnurangam Kumaraguru332696849
Abhijit Mitra332407795
Ramanathan Sowdhamini332564458
Helmut Schiessel321173527
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202310
202229
2021373
2020440
2019367
2018364