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International Conference on Data Science & Engineering (ICDSE)

作者： Jibin Sunny M G Divya Subrata Chattopadhyay Center for Development of Advanced Computing (CDAC) Bangalore India

Computational grid and high performance computing resources are widely used by researchers and academicians for research activities. Stable and reliable computational resource is essential. In order to achieve this apart from monitoring network health, service health etc knowing job statistics also equally important, hence Job Accounting Tool(JAT) is designed for this functionality. JAT is a Web based tool which is designed to capture job statistics from grid metascheduler-gridway and local resource manager-portable batch system. Job statistics includes done, failed and killed jobs along with other parameters like wall time, exit status, user name etc. The major objective of this tool is to identify and analyze reasons for job failure. It is deployed and functioning at national grid computing initiative GARUDA. Various job statistics and job failure analysis are demonstrated in this paper.

关键词： Monitoring Failure analysis Reliability Databases Grid computing Object recognition Magnetic heads

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A standalone utility-‘e-Aushadhi desktop’

A standalone utility-‘e-Aushadhi desktop’

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IEEE International Advance computing Conference, IACC

作者： Himani Goel Praveen Kumar Srivastava Ajay Kr. Gupta Center for Development of Advanced Computing(C-DAC) Noida India

This paper focus on the importance of Desktop Applications, to be known as standalone utilities, a well known application of which a new version has been developed using JavaFx. The paper, in sequence, will discuss about the need for desktop application in e-Aushadhi, use of XML files as database storage as well as for import/export of information. The paper will also discuss about JavaFx and its ability to create transaction and various other screens without using and web controls. The main aim is to let users identify the importance of desktop applications and the comparison between web and desktop applications.

关键词： XML Internet Databases Software Information services Electronic publishing Servers

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Cost Estimation Tool for government hospitals and Healthcare facility based on modified step down approach

Cost Estimation Tool for government hospitals and Healthcare...

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IEEE International Advance computing Conference, IACC

作者： Himani Goel Praveen Kumar Srivastava Chinmay Garg Ajay Gupta Center for Development of Advanced Computing(C-DAC) Noida India

This paper introduces the Cost Estimation Tool (CET). CET is a costing system used for tracking and analyzing the expenditure incurred by any organization under various departments using step down allocation and apportion technique. The overall aim of the CET is to estimate the cost of all the cost centers in any organization, to guide policy and efficient management of resources for improved services. The purpose of the current effort was to upgrade the accounting practices in the organization by introducing step-down method of apportioning. Here a case study of government Hospital is considered where patient is provided Healthcare services free of cost. But it would be exciting for Healthcare Manager of government Hospital to know the actual cost incurred for patient services. The ultimate objective of costing is to arrive at the cost of every unit, service, procedure, patient wise expenditure and compare the budgeted performance expectations in order to identify problem areas that require immediate attention.

关键词： Head Hospitals Costing Resource management Organizations Conferences

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Erratum to: Search for diboson resonances in hadronic final states in 139 fb−1 of pp collisions at = 13 TeV with the ATLAS detector

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Journal of High Energy Physics 2020年第6期2020卷 1-19页

作者： Aad, G. Abbott, B. Abbott, D. C. Abdinov, O. Abed Abud, A. Abeling, K. Abhayasinghe, D. K. Abidi, S. H. AbouZeid, O. S. Abraham, N. L. Abramowicz, H. Abreu, H. Abulaiti, Y. Acharya, B. S. Achkar, B. Adachi, S. Adam, L. Adam Bourdarios, C. Adamczyk, L. Adamek, L. Adelman, J. Adersberger, M. Adiguzel, A. Adorni, S. Adye, T. Affolder, A. A. Afik, Y. Agapopoulou, C. Agaras, M. N. Aggarwal, A. Agheorghiesei, C. Aguilar-Saavedra, J. A. Ahmadov, F. Ahmed, W. S. Ai, X. Aielli, G. Akatsuka, S. Åkesson, T. P. A. Akilli, E. Akimov, A. V. Al Khoury, K. Alberghi, G. L. Albert, J. Alconada Verzini, M. J. Alderweireldt, S. Aleksa, M. Aleksandrov, I. N. Alexa, C. Alexandre, D. Alexopoulos, T. Alfonsi, A. Alhroob, M. Ali, B. Alimonti, G. Alison, J. Alkire, S. P. Allaire, C. Allbrooke, B. M. M. Allen, B. W. Allport, P. P. Aloisio, A. Alonso, A. Alonso, F. Alpigiani, C. Alshehri, A. A. Alvarez Estevez, M. Álvarez Piqueras, D. Alviggi, M. G. Amaral Coutinho, Y. Ambler, A. Ambroz, L. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amoroso, S. Amrouche, C. S. An, F. Anastopoulos, C. Andari, N. Andeen, T. Anders, C. F. Anders, J. K. Andreazza, A. Andrei, V. Anelli, C. R. Angelidakis, S. Angerami, A. Anisenkov, A. V. Annovi, A. Antel, C. Anthony, M. T. Antonelli, M. Antrim, D. J. A. Anulli, F. Aoki, M. Aparisi Pozo, J. A. Aperio Bella, L. Arabidze, G. Araque, J. P. Araujo Ferraz, V. Araujo Pereira, R. Arcangeletti, C. Arce, A. T. H. Arduh, F. A. Arguin, J-F. Argyropoulos, S. Arling, J.-H. Armbruster, A. J. Armitage, L. J. Armstrong, A. Arnaez, O. Arnold, H. Artamonov, A. Artoni, G. Artz, S. Asai, S. Asbah, N. Asimakopoulou, E. M. Asquith, L. Assamagan, K. Astalos, R. Atkin, R. J. Atkinson, M. Atlay, N. B. Atmani, H. Augsten, K. Avolio, G. Avramidou, R. Ayoub, M. K. Azoulay, A. M. Azuelos, G. Baca, M. J. Bachacou, H. Bachas, K. Backes, M. Backman, F. Bagnaia, P. Bahmani, M. Bahrasemani, H. Bailey, A. J. Bailey, V. R. Baines, J. T. Bajic, M. Bakalis, C. Baker, O. K. Bakker, P. J. Bakshi Gupta, D. Balaji, S. Baldin, E. M. Balek, P. Balli, F. CPPM Aix-Marseille Université CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman United States of America Department of Physics University of Massachusetts Amherst United States of America Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan INFN Sezione di Pavia Pavia Italy Dipartimento di Fisica Università di Pavia Pavia Italy II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Department of Physics Royal Holloway University of London Egham United Kingdom Department of Physics University of Toronto Toronto Canada Niels Bohr Institute University of Copenhagen Copenhagen Denmark Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion Israel Institute of Technology Haifa Israel High Energy Physics Division Argonne National Laboratory Argonne United States of America INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King’s College London London United Kingdom International Center for Elementary Particle Physics and Department of Physics University of Tokyo Tokyo Japan Institut für Physik Universität Mainz Mainz Germany LAL Université Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics Northern Illinois University DeKalb United States of America Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Department of Physics Bogazici University Istanbul Turkey Istanbul University Dept. of Physics Istanbul Turkey Département de Physique Nucléaire et Corpusculaire Université de Genève Genève Switzerland Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Santa Cr

A mistake was identified for the paper [1] in the treatment of the radion [2] cross-sections, which resulted in multiple changes.

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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A novel methodology for windows 7 × 64 memory forensics

A novel methodology for windows 7 × 64 memory forensics

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IEEE International Conference on Computational Intelligence and computing Research

作者： G. S. Suma S. Dija K. L. Thomas Resource Centre for Cyber Forensics Center for Development of Advanced Computing Thiruvananthapuram India

Due to the ever increasing growth rate of malwares, Memory Forensics has become unavoidable in a cyber crime investigation. This is because physical memory may contain crucial information that is available nowhere in the system hard disk. Memory Forensics deals with collection of forensically sound evidence from physical memory content of Suspect's system. This is a fast growing and challenging field in computer forensics where a live forensic methodology is adopted in order to acquire physical memory content. Analysis of the collected memory dump is very difficult due to the complex data structures in it, especially in Windows ×64 systems. Also, the complexity involved in 64-bit address translation makes the analysis tougher. This translation can be done only after finding an artifact called Directory Table Base (DTB). Even though there are few methods available for finding DTB, none is efficient for adopting in a memory analysis tool. In this paper, a novel methodology for finding DTB in a 64-bit Windows system is described in detail. The paper also explains algorithms for retrieving forensically relevant information like running processes and its associated details from physical memory dump collected from Windows7 × 64 machines.

关键词： Forensics Data structures Operating systems Data mining Computers Hard disks Media

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Facial feature extraction and textual description classification using SVM

Facial feature extraction and textual description classifica...

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International Conference on Computer Communication and Informatics (ICCCI)

作者： N K Bansode P K Sinha College of engineering Pune India Center for Development of Advanced Computing Pune India

Facial feature detection and extraction plays a significant role in face recognition. In this paper, we proposed a new approach for face feature description using support vector machine classifier. Searching image from the image contents is a major challenge in computer vision and pattern recognition. The textual label is assigned to the face feature according to the semantic meaning of the feature. The concept of the textual image description gives advantages to the user to search the image with the help of the visual attributes of the image. The face features like eyes, nose, mouth are labeled with the visual attributes like small, normal and large.

关键词： Face Feature extraction Facial features Face recognition Eyebrows Nose Mouth

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Abstracts from the Food Allergy and Anaphylaxis Meeting 2016 Abstracts

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CLINICAL AND TRANSLATIONAL ALLERGY 2017年第SUPPL 1期7卷 10-10页

作者： [Anonymous] Department of Pediatrics Children’s Hospital Roubaix France Division of Pulmonology and Allergology Department of Pediatrics Faculty of Medicine and Children’s Hospital Lille France Allergy Vigilance Network Vandoeuvre les Nancy France Université Lille 2 CHU Lille EA 2694 - Santé Publique: épidémiologie et qualité des soins Lille France Biostatistics Unit Maison Régionale de la Recherche Clinique CHRU Lille Lille France Department of Allergology Emile Durkheim Hospital Epinal France Centre d’Epidémiologie sur les Causes Médicales de Décès INSERM CHU de Bicêtre Le Kremlin-Bicêtre France The Allergy Vigilance Network University Hospital Nancy Nancy France Pediatric Pulmonology and Allergy Department Hôpital Jeanne de Flandre CHU Lille Lille France Charité - Universitätsmedizin Berlin Berlin Germany Institute for Social Medicine Epidemiology and Health Economics Charité - Universitätsmedizin Berlin Berlin Germany Institute of Social Medicine Epidemiology and Health Economics Charité Universitätsmedizin Berlin Berlin Germany Department of Dermatology and Allergology Comprehensive Allergy Center Charité Charité – Universitätsmedizin Berlin Berlin Germany Department of Dermatology and Allergy Allergie-Centrum-Charité Charité-Universiätsmedizin Berlin Berlin Germany Department of Dermatology and Allergology Comprehensive Allergy Center Charité Charité Universitätsmedizin Berlin Berlin Germany University Hospital Basel Basel Switzerland Allergy Unit Department of Dermatology University Hospital Basel Switzerland Universitätsklinikum Salzburg Salzburg Austria Department of Dermatology and Allergy Centre Odense Research Center for Anaphylaxis (ORCA) Odense University Hospital Odense Denmark Odense University Hospital Odense Denmark Serviço de ImunoalergologiaCentro Hospitalar de São João E.P.E. Porto Portugal GRIAC Research Institute University of Groningen University Medical Center Groningen Groningen The Netherlands Serviço de Imunoalergologia Centr

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Evaluation of some English-Hindi MT systems

Evaluation of some English-Hindi MT systems

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International Conference on Advances in computing, Communications and Informatics (ICACCI)

作者： Nisheeth Joshi Iti Mathur Hemant Darbar Ajai Kumar Priyanka Jain Department of Computer Science Banasthali University Rajasthan India Center for Development of Advanced Computing Pune India

ISBN: (纸本)9781479930814

MT evaluation is a very important activity in MT system development. Evaluation of MT systems can help MT developers in understanding the short-comings of their systems and clear focus on the problem areas, so that systems performance can increase. In this paper we have discussed evaluation of some English-Hindi MT engines. For this, we have applied human as well as automatic evaluations of these systems. Automatic evaluation metrics across linguistic levels have been used to perform this study.

关键词： Measurement Engines Equations Mathematical model Pragmatics NIST Correlation

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Erratum to: Search for supersymmetry in final states with two same-sign or three leptons and jets using 36 fb−1 of = 13 TeV pp collision data with the ATLAS detector

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Journal of High Energy Physics 2019年第8期2019卷 1-19页

作者： Aaboud, M. Aad, G. Abbott, B. Abdinov, O. Abeloos, B. Abidi, S. H. AbouZeid, O. S. Abraham, N. L. Abramowicz, H. Abreu, H. Abreu, R. Abulaiti, Y. Acharya, B. S. Adachi, S. Adamczyk, L. Adelman, J. Adersberger, M. Adye, T. Affolder, A. A. Afik, Y. Agatonovic-Jovin, T. Agheorghiesei, C. Aguilar-Saavedra, J. A. Ahlen, S. P. Ahmadov, F. Aielli, G. Akatsuka, S. Akerstedt, H. Åkesson, T. P. A. Akilli, E. Akimov, A. V. Alberghi, G. L. Albert, J. Albicocco, P. Alconada Verzini, M. J. Alderweireldt, S. C. Aleksa, M. Aleksandrov, I. N. Alexa, C. Alexander, G. Alexopoulos, T. Alhroob, M. Ali, B. Aliev, M. Alimonti, G. Alison, J. Alkire, S. P. Allbrooke, B. M. M. Allen, B. W. Allport, P. P. Aloisio, A. Alonso, A. Alonso, F. Alpigiani, C. Alshehri, A. A. Alstaty, M. I. Alvarez Gonzalez, B. Álvarez Piqueras, D. Alviggi, M. G. Amadio, B. T. Amaral Coutinho, Y. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amoroso, S. Amundsen, G. Anastopoulos, C. Ancu, L. S. Andari, N. Andeen, T. Anders, C. F. Anders, J. K. Anderson, K. J. Andreazza, A. Andrei, V. Angelidakis, S. Angelozzi, I. Angerami, A. Anisenkov, A. V. Anjos, N. Annovi, A. Antel, C. Antonelli, M. Antonov, A. Antrim, D. J. Anulli, F. Aoki, M. Aperio Bella, L. Arabidze, G. Arai, Y. Araque, J. P. Araujo Ferraz, V. Arce, A. T. H. Ardell, R. E. Arduh, F. A. Arguin, J-F. Argyropoulos, S. Arik, M. Armbruster, A. J. Armitage, L. J. Arnaez, O. Arnold, H. Arratia, M. Arslan, O. Artamonov, A. Artoni, G. Artz, S. Asai, S. Asbah, N. Ashkenazi, A. Asquith, L. Assamagan, K. Astalos, R. Atkinson, M. Atlay, N. B. Augsten, K. Avolio, G. Axen, B. Ayoub, M. K. Azuelos, G. Baas, A. E. Baca, M. J. Bachacou, H. Bachas, K. Backes, M. Bagnaia, P. Bahmani, M. Bahrasemani, H. Baines, J. T. Bajic, M. Baker, O. K. Baldin, E. M. Balek, P. Balli, F. Balunas, W. K. Banas, E. Bandyopadhyay, A. Banerjee, Sw. Bannoura, A. A. E. Barak, L. Barberio, E. L. Barberis, D. Barbero, M. Barillari, T. Barisits, M-S Barkeloo, J. T. Barklow, T. Barlow, N. Barnes, S. L. Barnett, B. M. Barnett, R. M. Barnovska-Blenessy, Z Faculté des Sciences Université Mohamed Premier and LPTPM Oujda Morocco CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman U.S.A. Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Department of Physics University of Toronto Toronto Canada Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz U.S.A. Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene U.S.A. Department of Physics Stockholm University Stockholm Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Udine Italy ICTP Trieste Italy Department of Physics King’s College London London United Kingdom International Center for Elementary Particle Physics and Department of Physics The University of Tokyo Tokyo Japan AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics Northern Illinois University DeKalb U.S.A. Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Institute of Physics University of Belgrade Belgrade Serbia Department of Physics Alexandru Ioan Cuza University of Iasi Iasi Romania Laboratório de Instrumentação e Física Experimental de Partículas – LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos Universidad de Granada Granada Portugal Department of Physics Boston University Boston U.S.A. Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN Sezione di Roma Tor Vergata Roma Italy Dip

One correction is made to the figure 4e of the paper.

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