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arXiv 2017年

作者： Khamparia, Aditya Rani, Monika Pandey, Babita Vyas, O.P. Department of Computer Science and Engineering Lovely Professional University Phagwara Punjab India Department of Computer Science Indian Institute of Information Technology Allahabad Uttar Pradesh India Department of Computer Applications Lovely Professional University Phagwara Punjab India

With the growing economy, e-learning consequently gained increasing attention as it conveys knowledge globally with improved interactivity, assistance and reduced costs. For the past few years, accidental challenges have become the severe problem with railway units due to irresponsibility, lack of knowledge and improper guidance of station controllers (learners). While focusing on e-learning technologies railway units failed to admit learner's need, cultural diversity and background skills by creating ethnically impartial e-learning environments, which resulted in inadequate training and degraded performance. The purpose of this study is to understand the vision of a global diverse group of station traffic controllers about e-learning courses developed by their individual railway units. The opinions of these officials have been verified by questionnaires on the basis of course organization, course accuracy, course effectiveness, course relevance, course productivity and course interactivity. The results obtained show that the developed e-learning course was highly helpful, interactive, creative, and user-friendly for learners. This leads to making e-learning conquered among independent learners. Copyright © 2017, The Authors. All rights reserved.

关键词： Productivity

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Finding quadruply imaged quasars with machine learning. I. Methods

arXiv

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arXiv 2021年

作者： Akhazhanov, A. More, A. Amini, A. Hazlett, C. Treu, Tommaso Birrer, S. Shajib, A. Schechter, P. Lemon, C. Nord, B. Aguena, M. Allam, S. Andrade-Oliveira, F. Annis, J. Brooks, D. Buckley-Geer, E. Burke, D.L. Rosell, A. Carnero Kind, M. Carrasco Carretero, J. Choi, A. Conselice, C. Costanzi, M. Da Costa, L.N. Pereira, M.E.S. De Vicente, J. Desai, S. Dietrich, J.P. Doel, P. Everett, S. Ferrero, I. Finley, D.A. Flaugher, B. Frieman, J. García-Bellido, J. Gerdes, D.W. Gruen, D. Gruendl, R.A. Gschwend, J. Gutierrez, G. Hinton, S.R. Hollowood, D.L. Honscheid, K. James, D.J. Kim, A.G. Kuehn, K. Kuropatkin, N. Lahav, O. Lima, M. Lin, H. Maia, M.A.G. March, M. Menanteau, F. Miquel, R. Morgan, R. Palmese, A. Paz-Chinchón, F. Pieres, A. Malagón, A. A. Plazas Sanchez, E. Scarpine, V. Serrano, S. Sevilla-Noarbe, I. Smith, M. Soares-Santos, M. Suchyta, E. Swanson, M.E.C. Tarle, G. To, C. Varga, T.N. Weller, J. Department of Electrical and Computer Engineering University of California Los AngelesCA90095 United States Department of Electrical and Computer Engineering Nazarbayev University Nur-Sultan Kazakhstan Post Bag 4 Ganeshkhind Pune411007 India UTIAS The University of Tokyo Kashiwa Chiba277-8583 Japan Department of Statistics University of California Los AngelesCA90095 United States Department of Political Science University of California Los AngelesCA90095 United States Department of Physics and Astronomy PAB 430 Portola Plaza Box 951547 Los AngelesCA90095-1547 United States Graduate School of Education Stanford University 160 450 Serra Mall StanfordCA94305 United States Department of Astronomy & Astrophysics University of Chicago ChicagoIL60637 United States MIT Kavli Institute for Astrophysics and Space Research 37-664G 77 Massachusetts Avenue CambridgeMA02139 United States Observatoire de Sauverny VersoixCH-1290 Switzerland Fermi National Accelerator Laboratory P. O. Box 500 BataviaIL60510 United States Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Laboratório Interinstitucional de e-Astronomia - LIneA Rua Gal. José Cristino 77 RJ Rio de Janeiro20921-400 Brazil Instituto de Física Teórica Universidade Estadual Paulista São Paulo Brazil Department of Physics & Astronomy University College London Gower Street LondonWC1E 6BT United Kingdom Kavli Institute for Particle Astrophysics & Cosmology Stanford University P. O. Box 2450 StanfordCA94305 United States SLAC National Accelerator Laboratory Menlo ParkCA94025 United States Center for Astrophysical Surveys National Center for Supercomputing Applications 1205 West Clark St. UrbanaIL61801 United States Department of Astronomy University of Illinois at Urbana-Champaign 1002 W. Green Street UrbanaIL61801 United States The Barcelona Institute of Science and Technology Campus UAB Barcelona08193 Spain Center for Cos

Strongly lensed quadruply imaged quasars (quads) are extraordinary objects. They are very rare in the sky - only a few tens are known to date - and yet they provide unique information about a wide range of topics, including the expansion history and the composition of the Universe, the distribution of stars and dark matter in galaxies, the host galaxies of quasars, and the stellar initial mass function. Finding them in astronomical images is a classic "needle in a haystack" problem, as they are outnumbered by other (contaminant) sources by many orders of magnitude. To solve this problem, we develop state-of-the-art deep learning methods and train them on realistic simulated quads based on real images of galaxies taken from the Dark Energy Survey, with realistic source and deflector models, including the chromatic effects of microlensing. The performance of the best methods on a mixture of simulated and real objects is excellent, yielding area under the receiver operating curve in the range 0.86 to 0.89. Recall is close to 100% down to total magnitude i ∼ 21 indicating high completeness, while precision declines from 85% to 70% in the range i ∼ 17 - 21. The methods are extremely fast: training on 2 million samples takes 20 hours on a GPU machine, and 108 multi-band cutouts can be evaluated per GPU-hour. The speed and performance of the method pave the way to apply it to large samples of astronomical sources, bypassing the need for photometric pre-selection that is likely to be a major cause of incompleteness in current samples of known quads. © 2021, CC BY.

关键词： Galaxies

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An efficient indoor location tracking and navigation system using simple magnetic map matching

An efficient indoor location tracking and navigation system ...

引用

2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016

作者： Binu, P.K. Akhil Krishnan, R. Pranav Kumar, A. Department of Computer Science and Applications Amrita School of Engineering Amrita University India

ISBN: (纸本)9781509006113

With the invent of GPS and related technologies, outdoor navigation is simply possible with great accuracy nowadays. But we are still in need of an efficient, reliable and cheaper technology for indoor navigation. In this paper we put forward the idea of an android based application which enables efficient indoor navigation and tracks the exact location of people inside large buildings. Though different technologies like WiFi, Bluetooth, RFID e.t.c, are available for indoor navigation and location tracking, the main problem is that the implementation and maintenance costs are very high. Also, the change in climatic condition affects the working and degrades its performance. In this work, we incorporate the innovative idea of magnetic field identification technology which uses the naturally occurring magnetic fields inside the concrete buildings with simplified magnetic map matching algorithm and the idea from Route boxer algorithm for effective indoor positioning and navigation. A Smart phone with magnetic field sensor and accelerometer enables the application to provide the best indoor navigation facility to the end users. © 2016 IEEE.

关键词： Accelerometers

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Social and moral psychology of COVID-19 across 69 countries

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Scientific data 2023年第1期10卷 272页

作者： Flavio Azevedo Tomislav Pavlović Gabriel G Rêgo F Ceren Ay Biljana Gjoneska Tom W Etienne Robert M Ross Philipp Schönegger Julián C Riaño-Moreno Aleksandra Cichocka Valerio Capraro Luca Cian Chiara Longoni Ho Fai Chan Jay J Van Bavel Hallgeir Sjåstad John B Nezlek Mark Alfano Michele J Gelfand Michèle D Birtel Aleksandra Cislak Patricia L Lockwood Koen Abts Elena Agadullina John Jamir Benzon Aruta Sahba Nomvula Besharati Alexander Bor Becky L Choma Charles David Crabtree William A Cunningham Koustav De Waqas Ejaz Christian T Elbaek Andrej Findor Daniel Flichtentrei Renata Franc June Gruber Estrella Gualda Yusaku Horiuchi Toan Luu Duc Huynh Agustin Ibanez Mostak Ahamed Imran Jacob Israelashvili Katarzyna Jasko Jaroslaw Kantorowicz Elena Kantorowicz-Reznichenko André Krouwel Michael Laakasuo Claus Lamm Caroline Leygue Ming-Jen Lin Mohammad Sabbir Mansoor Antoine Marie Lewend Mayiwar Honorata Mazepus Cillian McHugh John Paul Minda Panagiotis Mitkidis Andreas Olsson Tobias Otterbring Dominic J Packer Anat Perry Michael Bang Petersen Arathy Puthillam Tobias Rothmund Hernando Santamaría-García Petra C Schmid Drozdstoy Stoyanov Shruti Tewari Bojan Todosijević Manos Tsakiris Hans H Tung Radu G Umbres Edmunds Vanags Madalina Vlasceanu Andrew Vonasch Meltem Yucel Yucheng Zhang Mohcine Abad Eli Adler Narin Akrawi Hamza Alaoui Mdarhri Hanane Amara David M Amodio Benedict G Antazo Matthew Apps Mouhamadou Hady Ba Sergio Barbosa Brock Bastian Anton Berg Maria P Bernal-Zárate Michael Bernstein Michał Białek Ennio Bilancini Natalia Bogatyreva Leonardo Boncinelli Jonathan E Booth Sylvie Borau Ondrej Buchel C Daryl Cameron Chrissie F Carvalho Tatiana Celadin Chiara Cerami Hom Nath Chalise Xiaojun Cheng Kate Cockcroft Jane Conway Mateo Andres Córdoba-Delgado Chiara Crespi Marie Crouzevialle Jo Cutler Marzena Cypryańska Justyna Dabrowska Michael A Daniels Victoria H Davis Pamala N Dayley Sylvain Delouvée Ognjan Denkovski Guillaume Dezecache Nathan A Dhaliwal Alelie B Diato Roberto Di Paolo Marianna Drosinou Uwe Dulleck Jānis Ekmanis Department of Psychology University of Cambridge Cambridge England. fa441@cam.ac.uk. Institute of Communication Science Friedrich-Schiller University Jena Jena Germany. fa441@cam.ac.uk. Institute of Social Sciences Ivo Pilar Zagreb Croatia. Social and Cognitive Neuroscience Laboratory Mackenzie Presbyterian University São Paulo Brazil. Department of Economics Norwegian School of Economics Bergen Norway. Telenor Research Oslo Norway. Macedonian Academy of Sciences and Arts Skopje Republic of North Macedonia. Kieskompas - Election Compass Amsterdam Netherlands. Department of Political Science & Annenberg School for Communication University of Pennsylvania Philadelphia PA USA. Department of Psychology Macquarie University Sydney NSW Australia. Department of Philosophy University of St Andrews St Andrews Scotland. School of Economics and Finance University of St Andrews St Andrews Scotland. Medicine Faculty Cooperative University of Colombia Villavicencio Colombia. Department of Bioethics El Bosque University Bogotá Colombia. School of Psychology University of Kent Canterbury England. Department of Economics Middlesex University London London England. Darden School of Business University of Virginia Charlottesville VA USA. Questrom School of Business Boston University Boston MA USA. School of Economics and Finance Queensland University of Technology Brisbane QLD Australia. Center for Behavioural Economics Society and Technology Queensland University of Technology Brisbane QLD Australia. Department of Psychology and Neural Science New York University New York NY USA. Department of Strategy and Management Norwegian School of Economics Bergen Norway. SWPS University of Social Sciences and Humanities Warsaw Poland. Department of Psychological Sciences College of William and Mary Williamsburg VA USA. Department of Philosophy Macquarie University Sydney NSW Australia. Stanford Graduate School of Business Stanford University Stanford CA USA.

The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behaviour change. To help scholars better understand the social and moral psychology behind public health behaviour, we present a dataset comprising of 51,404 individuals from 69 countries. This dataset was collected for the International Collaboration on Social & Moral Psychology of COVID-19 project (ICSMP COVID-19). This social science survey invited participants around the world to complete a series of moral and psychological measures and public health attitudes about COVID-19 during an early phase of the COVID-19 pandemic (between April and June 2020). The survey included seven broad categories of questions: COVID-19 beliefs and compliance behaviours; identity and social attitudes; ideology; health and well-being; moral beliefs and motivation; personality traits; and demographic variables. We report both raw and cleaned data, along with all survey materials, data visualisations, and psychometric evaluations of key variables.

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Equiangular quantum key distribution in more than two dimensions

arXiv

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arXiv 2018年

作者： Balu, Radhakrishnan Koprowski, Paul J. Okoudjou, Kasso A. Park, Justin S. Siopsis, George Computer and Information Sciences Directorate Army Research Laboratory AdelphiMD21005-5069 Computer Science and Electrical Engineering University of Maryland Baltimore County 1000 Hilltop Circle BaltimoreMD21250 United States Department of Mathematics Norbert Wiener Center for Harmonic Analysis and Applications University of Maryland College ParkMD20742 United States Massachusetts Institute of Technology CambridgeMA02139 United States Department of Physics and Astronomy University of Tennessee KnoxvilleTN37996-1200 United States

We extend the spherical code based key distribution protocols to qudits with dimensions 4 and 16 by constructing equiangular frames and their companions. We provide methods for equiangular frames in arbitrary dimensions for Alice to use and the companion frames, that has one antipode to eliminate one of the possibilities, made up of qudits with N = 4, 16 as part of Bob's code. Non-orthogonal bases that form positive operator valued measures can be constructed using the tools of frames (overcomplete bases of a Hilbert space) and here we apply them to key distribution that are robust due to large size of the bases making it hard for eavesdropping. We demonstrate a method to construct a companion frame for an equiangular tight frame for Cp−1 generated from the discrete Fourier transform, where p is any odd prime. The security analysis is based on the assumption restricting possible attacks to intercept/resend scenario highlighting the advantages of a qudit over qubit-based protocols. Copyright © 2018, The Authors. All rights reserved.

关键词： Security systems

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Pupillary Reactivity to Non-Photorealistic Rendering: A Case Study of Immersion in 3D Cinema

Pupillary Reactivity to Non-Photorealistic Rendering: A Case...

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International Conference on 3D Imaging (IC3D)

作者： Victor FAJNZYLBER Samuel MADARIAGA Rafael DEL VILLAR Pedro MALDONADO Diego Vargas Aria SERRA Milan MAGDICS Mateu SBERT Communication and Imaging Institute University of Chile Departamento de Neurociencia & Biomedical Neuroscience Institute University of Chile National School of Higher Studies Campus Morelia National Autonomous University of Mexico Institute of Informatics and Applications & Graphics and Imaging Laboratory Girona University Department of Control Engineering and Information Technology Budapest University of Technology and Economics School of Computer Science and Technology Tianjin University

ISBN: (纸本)9781538675915;9781538675908

The aim of our research is to build an empirical indicator of cinematic immersion based on ocular data. We study immersion as a gradual and adaptive process of corporal involvement in the cinematic experience. To study its temporal evolution, we analyze correlations between the film and the ocular response, in its attentional aspects (what do we see?) and pupillary aspects (how do we react?). To understand in what ways post-production can favor immersion, we are interested in studying the pupil reactivity to visual attributes of the film: the visual abstraction of a non-photorealistic rendering (NPR) post-production and the optical hyperrealism of stereoscopy. We expect that our results could be useful for conceiving new NPR tools for 3D films and innovative post-production strategies for virtual reality.

关键词： Motion pictures Visualization Three-dimensional displays Stereo image processing Videos Rendering (computer graphics) Correlation

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Comments on a privacy preserving public auditing mechanism for shared cloud data 17

Comments on a privacy preserving public auditing mechanism f...

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4th Multidisciplinary International Social Networks Conference, MISNC 2017

作者： Wu, Tsu-Yang Lin, Yueshan Wang, King-Hang Chen, Chien-Ming Pan, Jeng-Shyang Wu, Mu-En Fujian Provincial Key Laboratory of Big Data Mining and Applications National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology Fuzhou350118 China Harbin Institute of Technology Shenzhen Graduate School Shenzhen518055 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong Department of Mathematic Soochow University Taipei Taiwan

ISBN: (纸本)9781450348812

Auditing mechanisms are received much attentions from researchers due to the developing of cloud storage. Recently, Wang et al. proposed a privacy preserving public auditing mechanism for shared cloud data with supporting group dynamic. However, we find some security flaws in their mechanism. In this paper, a forgery attack and a data corruption attack are proposed to demonstrate the insecurity. Then, we propose a modified scheme based on their mechanism. The security analysis is demonstrated that our improvement can resist the mentioned two attacks. © 2017 ACM.

关键词： Cloud storage

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Structural and Optical Studies of InGaN/GaN Superlattices Implanted with Eu Ions

Structural and Optical Studies of InGaN/GaN Superlattices Im...

引用

MRS Advances

作者： Wang, Jingzhou Thota, Venkata R. Stinaff, Eric A. Ebdah, Mohammad Anders, Andre Jadwisienczak, Wojciech M. School of Electrical Engineering and Computer Science Ohio University AthensOH45701 United States Department of Physics and Astronomy Ohio University AthensOH45701 United States Physics and Astronomy Department King Saud University Saudi Arabia Lawrence Berkeley National Laboratory Plasma Applications Group BerkeleyCA94720 United States

In0.06Ga0.94N/GaN superlattices (SLs) grown on sapphire (0001) by metalorganic chemical vapor deposition were studied before and after europium (Eu) ion implantation to understand the strain induced-effects in the SL structure. The implanted SLs were investigated as a function of the thermal annealing temperature up to 1000°C in nitrogen ambient. Temperature dependent photoluminescence spectra showed a red-shift of the SL emission peaks due the quantum confined Stark effect, followed by a blue-shift due to In atoms out-diffusion from the In0.06Ga0.94N quantum well, for both Eu ions implanted and unimplanted SLs. The amplitude of observed spectral shifts was smaller and the line width of the SLs emission peaks were narrower in the SLs:Eu3+ as compared to the unimplanted SLs. It is concluded that Eu3+ ions modified the strain in the SLs acting like impurity and/or defects getter in implantation degraded SLs resulting in material phase purification and improvements of SLs optical properties. Copyright © Materials Research Society 2017.

关键词： Photoluminescence

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Demonstration of nonpolar m-plane vertical GaN-on-GaN p-n power diodes grown on free-standing GaN substrates

arXiv

引用

arXiv 2018年

作者： Fu, Houqiang Zhang, Xiaodong Fu, Kai Liu, Hanxiao Alugubelli, Shanthan R. Huang, Xuanqi Chen, Hong Baranowski, Izak Yang, Tsung-Han Xu, Ke Ponce, Fernando A. Zhang, Baoshun Zhao, Yuji School of Electrical Computer and Energy Engineering Arizona State University TempeAZ85287 United States Key Laboratory of Nanodevices and Applications Suzhou Institute of Nano-tech and Nano-bionics CAS Suzhou215123 China Department of Physics Arizona State University TempeAZ85287 United States Suzhou Nanowin Science and Technology Co. Ltd. Suzhou215123 China

This work demonstrates the first nonpolar vertical GaN-on-GaN p-n power diodes grown on m-plane free-standing substrates by metalorganic chemical vapor deposition (MOCVD). The SEM and HRXRD results showed the good crystal quality of the homoepitaxial nonpolar structure with low defect densities. The CL result confirmed the nonpolar p-GaN was of high quality with well activated Mg acceptors and considerably reduced deep-level (DL) states. At forward bias, the device showed good rectifying behaviors with a turn-on voltage of 4.0 V, an on-resistance of 2.3 mO·cm2, a high on/off ratio of ~ 1010, and a low leakage current of ~ 10-7A/cm2. At reverse bias, the current leakage and breakdown were described by the trap-assisted space-charge-limited current (SCLC) conduction mechanism, where I was proportional to V4.5. The critical electrical field was calculated to be 2.0 MV/cm without field plates or edge termination, which is the highest value reported on nonpolar power devices. The high performance m-plane p-n diodes can serve as key building blocks to further develop nonpolar GaN power electronics and polarization-engineering-related advanced power device structures for power conversion applications. Copyright © 2018, The Authors. All rights reserved.

关键词： Gallium nitride

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Decision support system for diagnosis and prediction of chronic renal failure using random subspace classification 5

Decision support system for diagnosis and prediction of chro...

引用

5th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2016

作者： Ani, R. Sasi, Greeshma Sankar, U. Resmi Deepa, O.S. Department of Computer Science and Applications Amrita School of Engineering Amrita Vishwa Vidyapeetham Amrita University Amritapuri India Department of Computer Science and Applications Amrita School of Engineering Amrita Vishwa Vidyapeetham Amrita University Coimbatore India

ISBN: (纸本)9781509020287

Chronic Renal Failure (CRF) is one of the major disease which affect the human life. The stages of CRF start with loss of renal functions and gradually it leads to complete failure of all kidney functions. This disease is fatal at its end stage unless a replacement of kidney or a dialysis process which is an artificial filtering mechanism is not done. So an early prediction of disease is very important to save the human life. Machine learning is a part of artificial intelligence that uses a variety of techniques to learn from complex dataset. Machine learning techniques are widely used in medical field for disease prediction and prognosis. The objective of this work is to develop a clinical decision support system using machine learning techniques. In this paper first the classification techniques like neural network based back propagation (BPN), probability based Naive Bayes, LDA classifier, lazy learner K Nearest Neighbor (KNN), tree based decision tree, and Random subspace classification algorithms are analyzed. The accuracy of each algorithm found is 81.5%, 78%, 76%, 90%, 93% and 94% respectively on a dataset collected from UCI repository which contains 25 attributes and 400 instances. From the results obtained, the algorithm which gave better result was used for the developing the Clinical Decision Support System. © 2016 IEEE.

关键词： Decision trees

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