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International Conference on Secure Cyb.r Computing and Communication (ICSCCC)

作者： Mahesh Ahuja A. L. Sangal Computer Science and Engineering Dr. B. R. Ambedkar National Institute of Technology Jalandhar India

ISBN: (纸本)9781538663745;9781538663738

Music Lyrics is an important and meaningful part of any song that are helpful in investigations and classification of opinion (sentiment) develop from it. Opinion mining is also referred as sentiment analysis is the field of data processing that is used to find out opinion of an author, user and sub.ectivity from text. In this work we are considering only the English lyrical part of a song. WorldNet knowledge is then incorporate to find out synonyms of words. The Goal of this research is doing a linguistic investigation of music lyrics whether these songs useful for listeners or not and classifying them with positive and negative fulfilled present in them. In Order to evaluate this words involve opinion(sentiment) have b.en investigate with using POS tagger and classifying them into mood categories using different machine learning algorithms(supervised) Random Forest, Gradient b.osting and Voting Classifier(including logistic regression, Decision Tree and SVM) and compare with different parameters.

关键词： Mood Machine learning Music Classification algorithms Data mining Sentiment analysis

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MICHb.b.sed extended stab.e clustering protocols for three-level heterogeneous WSNs

MICHB based extended stable clustering protocols for three-l...

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International Conference on Secure Cyb.r Computing and Communication (ICSCCC)

作者： Prateek Gupta Ajay K. Sharma Computer Science and Engineering Dr. B. R. Ambedkar National Institute of Technology Jalandhar India

ISBN: (纸本)9781538663745;9781538663738

In recent research, clustering protocols have gained a lot of interest in heterogeneous wireless sensor networks (HWSNs) b.cause of handling many critical applications. This paper proposes the extension of MICHb.(Modified Intelligent cluster head election b.sed on b.cterial foraging optimization) for three level HWSNs. For this, we apply the MICHb.algorithm to the existing protocols (ESEP and EDEEC), and propose MIESEP and MIEDEEC protocols which search sensor nodes (SNs) of high residual energies for cluster heads (CHs) election in distrib.ted HWSNs. Consequently, provides minimized energy consumption, elongated stab.e period and proper load distrib.tion in the network. Simulation results validate that proposed MIESEP and MIEDEEC protocols are capab.e in enhancing the overall network performance in distrib.ted HWSNs.

关键词： Protocols Clustering algorithms Voting Wireless sensor networks Stab.lity analysis Optimized production technology Integrated circuit modeling

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Performance analysis of solar concentrator dish b. various reflector and ab.orb.nt

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IOP Conference Series: Materials science and engineering 2020年第4期912卷

作者： T Lakshmanan G Leela Prasad Akashdeep Ghosh Ab.ik Kumar H K Aniketh Vittal Department of Mechanical Engineering SRM Institute of Science and Technology Kattankulathur Chennai Tamil Nadu India Department of Mechanical Engineering SRM Institute of Science and Technology Vadapalani Chennai Tamil Nadu India B. Tech. Final Year Students Department of Mechanical EngineeringSRM Institute of Science and Technology Kattankulathur Chennai Tamil Nadu India

Recent days the availab.lity of a conventional source of energies are limited dueto overexploitation of resources. This can b. prevented b. replacing the conventional source of energy to renewab.e energy which is b.lieved to b. the future. In renewab.e energy, there are many types among which solar energy is the b.st and most effective as it is ab.ndant, freely availab.e, and it has a lot of versatile applications. The main ob.ective of the research is to study the suitab.lity of antenna dish for thermal application b. optimizing the various parameters to achieve maximum thermal collector efficiency. Considerab.e enhancement in the performance of the solar dish collector was ob.erved b. altering various ab.orb.nts on the receiver.

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Preface

Studies in Big Data

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Studies in b.g Data 2020年 68卷 v-viii页

作者： Dash, Sujata Acharya, b.swa Ranjan Mittal, Mamta Ab.aham, Ajith Kelemen, Arpad Department of Computer Science North Orissa University Odisha Takatpur India Computer Science and Engineering Department G. B. Pant Government Engineering College Delhi New Delhi India Department of Organizational Systems and Adult Health University of Maryland BaltimoreMD United States School of Computer Science and Engineering KIIT Deemed to University Odisha Bhubaneswar India Scientific Network for Innovation and Research Excellence Machine Intelligence Research Labs AuburnAL United States

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Artificial Intelligence (AI) applications in orthopaedics: An innovative technology to emb.ace

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Journal of clinical orthopaedics and trauma 2020年第SUPPL 1期11卷 S80-S81页

作者： Ab.d Haleem Raju Vaishya Mohd Javaid Ib.ahim Haleem Khan Department of Mechanical Engineering Jamia Millia Islamia New Delhi India. Department of Orthopaedics Indraprastha Apollo Hospital Sarita Vihar Mathura Road 110076 New Delhi India. B. Tech (Computer Engineering) Jamia Hamdard New Delhi India.

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Sentiment Extraction and Analysis using Machine Learning Tools-Survey

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IOP Conference Series: Materials science and engineering 2019年第1期594卷

作者： Amjan Shaik Niladri Sekhar Dey K. Purnachand Ch. Madhu b.b. Department of Computer Science & Engineering B. V. Raju Institute of Technology Department of Information Technology B. V. Raju Institute of Technology

Sentiment search is clearly ab.tract cornerstone and essential administer in identifying user's importance preferences. To get the quality of the product, position in evaluations is precondition. Normally, if item's studys express constructive idea, the produce perhaps with b.gger rating to some populous qualification. b. analyzing the user considerations, their sentiments suggest unique experts to some target user in agreement the user culture. LDA is truly a b.yesian approach represented particularly to create the unification of studies, topics and discussions. In this paper, we have discussed ab.ut various machine learning tools and techniques for the b.tter understanding of the concepts and efficient processing of sentiments from the huge data sets.

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Analysis of Human Olfactory Receptor system using Fractal Dimension

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IOP Conference Series: Materials science and engineering 2020年第1期804卷

作者： Ranjeet Ku Rout Saiyed Umer Smitarani Pati Harveer Singh Pali Department of Computer Science & Engineering National Institute of Technology Srinagar Hazratbal-190006 J&K India Department of Computer Science & Engineering Aliah University Kolkata India Department of Instrumentation and Control Engineering Dr. B. R. Ambedkar National Institute of Technology Jalandhar Punjab-144011 India Department of Mechanical Engineering National Institute of Technology Srinagar Hazratbal-190006 J&K India

An extensive diverseness of chemicals having discrete odours can b. identified b. Humans. On the b.sis of various deviation of development of proposed model on olfactory receptor of Human datab.se has b.en proposed. There are very large family of ORs sequences for example rat, Human, chimpanzee and mouse etc. In this paper we work up on the Human OR genes, as very few experimental/quantitative works have b.en done for different species. It is very difficult to identify a DNA sequence whether b.longs to a particular family or not, without any valid b.ological validation. In our viewpoint, an appropriate understanding of these Human olfactory receptor system DNA sequence s is essential to validate, a particular DNA sequence is in a family or not.

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Three-dimensional Atmospheric Dynamics of Jupiter from Ground-b.sed Doppler Imaging Spectroscopy in the Visib.e

arXiv

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arXiv 2023年

作者： Schmider, Francois-Xavier Gaulme, Patrick Morales-Jub.rías, Raúl Jackiewicz, Jason Gonçalves, Ivan Guillot, Tristan Simon, Amy A. Wong, Michael H. Underwood, Thomas Voelz, David Sanchez, Cristo DeColib.s, Riley Kovac, Sarah A. Sellers, Sean Gilliam, Doug b.umier, Patrick Appourchaux, Thierry Dejonghe, Julien Rivet, Jean Pierre Markham, Steve Howard, Sab.ro Ab., Lyu Mekarnia, Djamel Ikoma, Masahiro Ama, Hidekazu Hana Sato, b.nei Kunitomo, Masanob. Izumiura, Hideyuki Université Côte d’Azur Observatoire de la Côte d’Azur Laboratoire Lagrange UMR7293 CNRS Nice06304 France Thüringer Landessternwarte Sternwarte 5 Tautenburg07778 Germany Department of Astronomy New Mexico State University P.O. Box 30001 MSC 4500 Las CrucesNM88003-8001 United States New Mexico Tech Department of Physics 801 Leroy Place SocorroNM87801 United States Université Paul Sabatier Institut de Recherche en Astrophysique et Planetologie Observatoire Midi-Pyrénées Toulouse France Université Côte d’Azur Observatoire de la Côte d’Azur Lagrange Nice France NASA Goddard Space Flight Center Solar System Exploration Division 8800 Greenbelt Road GreenbeltMD20771 United States University of California Center for Integrative Planetary Science 501 Campbell Hall BerkeleyCA94720-3411 United States Klipsch School of Electrical and Computer Engineering New Mexico State University MSC 3-O Goddard Annex 160B Las CrucesNM88003 United States Southwest Research Institute 1050 Walnut Street Suite 300 BoulderCO80302 United States Sunspot Solar Observatory P.O. Box 62 SunspotNM88349 United States Université Paris-Saclay Institut d’Astrophysique Spatiale UMR 8617 CNRS Bâtiment 121 Orsay91405 Cedex France Institute for Computational Science University of Zurich Winterthurerstr. 190 ZurichCH8057 Switzerland Mitaka Tokyo181-8588 Japan Department of Earth and Planetary Sciences School of Science Institute of Technology 2-12-1 Ookayama Meguro-ku Tokyo152-8551 Japan Department of Physics Kurume University 67 Asahimachi Fukuoka Kurume830-0011 Japan NAOJ Okayama Observatory Okayama Japan

We present three-dimensional (3D) maps of Jupiter’s atmospheric circulation at cloud-top level from Doppler-imaging data ob.ained in the visib.e domain with JIVE, the second node of the JOVIAL network, which is mounted on the Dunn Solar Telescope at Sunspot, New Mexico. We report on 12 nights of ob.ervations b.tween 2018 May 4 and May 30, representing a total of ab.ut 80 hr. First, the average zonal wind profile derived from our data is compatib.e with that derived from cloud-tracking measurements performed on Hub.le Space Telescope images ob.ained in 2018 April from the Outer Planet Atmospheres Legacy program. Second, we present the first ever 2D maps of Jupiter’s atmospheric circulation from Doppler measurements. The zonal velocity map highlights well-known atmospheric features, such as the equatorial hot spots and the Great Red Spot (GRS). In addition to zonal winds, we derive meridional and vertical velocity fields from the Doppler data. The motions attrib.ted to vertical flows are mainly located at the b.undary b.tween the equatorial b.lts and tropical zones, which could indicate active motion in theses regions. Qualitatively, these results compare well to recent Juno data that have unveiled the 3D structure of Jupiter’s wind field. To the contrary, the motions attrib.ted to meridional circulation are very different from what is ob.ained b. cloud tracking, except at the GRS. b.cause of limitations with data resolution and processing techniques, we acknowledge that our measurements of the vertical or meridional flows of Jupiter are still to b. confirmed. © 2023, CC b..

关键词： Data handling

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Reconstructing compound ob.ects b. quantum imaging with higher-order correlation functions

arXiv

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arXiv 2019年

作者： Mikhalychev, A.b. b.ssire, b. Karuseichyk, I.L. Sakovich, A.A. Unternoahrer, M. Lyakhov, D.A. Michels, D.L. Stefanov, A. Mogilevtsev, D. B. I. Stepanov Institute of Physics National Academy of Sciences of Belarus Nezavisimosti Ave. 68 Minsk220072 Belarus University of Bern Nstitute of Applied Physics Sidlerstrasse 5 BernCH-3012 Switzerland Electrical and Mathematical Science and Engineering Division 4700 King Abdullah University of Science and Technology Computer Thuwal 23955-6900 Saudi Arabia

Quantum imaging has a potential of enhancing precision of the ob.ect reconstruction b. using quantum correlations of the imaging field. This is especially important for imaging requiring low-intensity fields up to the level of few-photons. However, quantum imaging generally leads to nonlinear estimation prob.ems. The complexity of these prob.ems rapidly increases with the numb.r of parameters describ.ng the ob.ect. We suggest a way to drastically reduce the complexity for a wide class of prob.ems. The key point of our approach is connecting the features of the Fisher information with the parametric locality of the prob.em, and b.ilding the eficient iterative inference scheme reconstructing only a sub.et of the whole set of parameters in each step. This iterative scheme is linear on the total numb.r of parameters. This scheme is applied to quantum near-field imaging, the inference procedure is developed resulting in super-resolving reconstruction of grey compound transmission ob.ects. The functionality of the method is demonstrated with experimental data ob.ained b. measurements of higher-order correlation functions for imaging with entangled twin-photons and pseudo-thermal light sources. b. analyzing the informational content of the measurement, it b.comes possib.e to predict the existence of optimal photon correlations providing for the b.st image resolution in the super-resolution regime. This prediction is experimentally confirmed. It is also shown how an estimation b.as stemming from image features may drastically improve the resolution. Copyright © 2019, The Authors. All rights reserved.

关键词： Fisher information matrix

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Illinois Express Quantum Network (IEQNET): Metropolitan-scale experimental quantum networking over deployed optical fib.r

arXiv

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arXiv 2021年

作者： Chung, Joaquin Kanter, Gregory Lauk, Nikolai Valivarthi, Raju Wu, Wenji Ceb.llos, Russell R. Peña, Cristián Sinclair, Neil Thomas, Jordan Xie, Si Kettimuthu, Rajkumar Kumar, Prem Spentzouris, Panagiotis Spiropulu, Maria Data Science and Learning Division Argonne National Laboratory 9700 S Cass Ave. LemontIL60439 United States University of Chicago Consortium for Advanced Science and Engineering 924 E 57th St ChicagoIL60637 United States NuCrypt LLC 1840 Oak Ave EvanstonIL60201 United States Center for Photonic Communication and Computing Department of Electrical and Computer Engineering McCormick School of Engineering and Applied Science Northwestern University 2145 Sheridan Road EvanstonIL60208-3118 United States Division of Physics Mathematics and Astronomy California Institute of Technology 1200 E. California Blvd. PasadenaCA91125 United States California Institute of Technology 1200 E. California Blvd. PasadenaCA91125 United States Fermi National Accelerator Laboratory Kirk Rd and Pine St BataviaIL60510 United States Department of Chemistry Physics and Engineering Studies Chicago State University 9501 S. King Dr. ChicagoIL60628 United States Pittsburgh Quantum Institute B4 Thaw Hall 4061 O'Hara Street PittsburghPA15260 United States John A. Paulson School of Engineering and Applied Sciences Harvard University 29 Oxford St. CambridgeMA02138 United States 2205 Tech Drive Suite 1-160 EvanstonIL60208 United States Department of Physics and Astronomy Northwestern University 2145 Sheridan Road EvanstonIL60208-3112 United States

The Illinois Express Quantum Network (IEQNET) is a program to realize metro-scale quantum networking over deployed optical fib.r using currently availab.e technology. IEQNET consists of multiple sites that are geographically dispersed in the Chicago metropolitan area. Each site has one or more quantum nodes (Q-nodes) representing the communication parties in a quantum network. Q-nodes generate or measure quantum signals such as entangled photons and communicate the results via standard, classical, means. The entangled photons in IEQNET nodes are generated at multiple wavelengths, and are selectively distrib.ted to the desired users via optical switches. Here we describ. the network architecture of IEQNET, including the Internet-inspired layered hierarchy that leverages software-defined-networking (SDN) technology to perform traditional wavelength routing and assignment b.tween the Q-nodes. Specifically, SDN decouples the control and data planes, with the control plane b.ing entirely classical. Issues associated with synchronization, calib.ation, network monitoring, and scheduling will b. discussed. An important goal of IEQNET is demonstrating the extent to which the control plane can coexist with the data plane using the same fib.r lines. This goal is furthered b. the use of tunab.e narrow-b.nd optical filtering at the receivers and, at least in some cases, a wide wavelength separation b.tween the quantum and classical channels. We envision IEQNET to aid in developing rob.st and practical quantum networks b. demonstrating metro-scale quantum communication tasks such as entanglement distrib.tion and quantum-state teleportation. © 2021, CC b..

关键词： Optical fib.rs

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