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Einstein Energy-Momentum Complex for a Phantom black Hole Metric

Chinese Physics Letters 2015年第2期32卷 19-22页

作者： P. K. sahoo K. L. Mahanta D. Goit A. K. sinha s. s. Xulu U. R. Das A. Prasad R. Prasad Department of Mathematics Birla Institute of Technology and Science-Pilani Hyderabad Campus Hyderabad 500078 India Department of Mathematics C. V. Raman College of Engineering Bhubaneswar 752054 India Department of Physics B.S. College Patna 800012 India Department of Physics College of Commerce Patna 800020 India Department of Computer Science University of Zululand Kwa-Dlangezwa 3886 South Africa Department of Physics D.N. College Patna 804452 India Department of Physics L.S. College Muzaffarpur 842001 India

We calculate the energy distribution associated with a static spherically symmetric non-singular phantom black hole metric in Einstein＇s prescription in general relativity. As required for the Einstein energy-momentum complex, we perform the calculations in quasi-Cartesian coordinates. We also calculate the momentum components and obtain a zero value, as expected from the geometry of the metric.

关键词： Einstein Energy-Momentum Complex for a Phantom black Hole Metric FRW

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Ontology construction for explicit description of domain knowledge

Ontology construction for explicit description of domain kno...

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International Conference on Innovation Information in Computing Technologies (ICIICT)

作者： R. Mervin s. Murugesh A. Jaya Department of Computer Science and Engineering Research Scholar Department of Computer Applications Research Scholar Department of Computer Applications B.S. Abdur Rahman University Chennai Tamil Nadu India

In the modern era numerous information are available in the World Wide Web which makes it difficult to get the semantic information. Ontologies plays vital role after the evolution of the semantic Web. Ontologies are used in various domains. Ontology is used to refine the search with semantics and give the b.s. result to the user. This paper portrays the construction of two different domain ontologies i.e. Knowledge b.s.d Question Answering system (KbQA) and software requirements elicitation from unstructured text.

关键词： Ontologies Online banking semantics software Technological innovation Data mining Knowledge b.s.d systems

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Extended mobility management and routing protocols for internet-to-VANET multicasting 12

Extended mobility management and routing protocols for inter...

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2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015

作者： Jemaa, Ines ben shagdar, Oyunchimeg Martinez, Francisco J. Garrido, Piedad Nashashibi, Fawzi RITS Team INRIA Rocquencourt Domaine de Voluceau B.P. 105 Le Chesnay78153 France Computer Science and System Engineering Department University of Zaragoza Ciudad Escolar s/n Teruel44003 Spain

ISBN: (纸本)9781479963904

Emerging ITs applications such as fleet management and point of interest distribution require vehicles to have Internet access. However, allowing vehicles to access to the Internet is particularly challenging due to the special characteristics of the vehicular environment. so far, multicasting approaches have been demonstrated to be effective for supporting group communication in traditional networks. However, such Internet-to-VANET multicast service involves several challenges including efficient multicast mobility management and multicast message delivery. This paper proposes a scheme that combines the existing multicast mobility management scheme with vehicular networking solutions to achieve Internet-to-VANET multicasting. The proposed scheme aims to: (i) provide multicast mobility management with low control overhead and efficient bandwidth utilization, as well as (ii) extend the service coverage provided by VANET membership management and multicast message delivery protocol. simulation results indicate that our Motion-MAODV scheme improves the performance of both MAODV and traditional flooding dissemination schemes in terms of both packet delivery ratio and end-to-end transmission latency. © 2015 IEEE.

关键词： Multicasting

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Automated rob.s. test framework for electrical impedance tomography

Automated robust test framework for electrical impedance tom...

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作者： Gaggero, Pascal O. Adler, Andy Waldmann, Andreas D. Mamatjan, Yasin Justiz, Jörn Koch, Volker M Institute for Human Centered Engineering Bern University of Applied Sciences Biel/Bienne Switzerland System and Computer Engineering Carleton University OttawaONK1S 5B6 Canada Swisstom AG Schulstrasse 1 Landquart7302 Switzerland Department of Electrical-Electronics Engineering Zirve University Gaziantep Turkey

An automated test system and procedure is proposed, designed to enable systematic testing of electrical impedance tomography (EIT) devices. The system is designed to calculate reliable, repeatable and accurate performance figures of merit of an EIT system using a saline phantom and an industrial robot arm. Applications of the test system are to compare EIT devices against requirements, or to help optimize a device for its operating parameters. A test methodology and sample test results are presented to illustrate its use. The system is used to compare image quality and contrast detection for a range of stimulation and measurement patterns, and results show the b.s. images when the pair of current injection electrodes is spaced between 45 and 170 degrees on a tank. Finally, we propose a classification of the object detection errors, which can facilitate comparison of EIT instrument specifications. © 2015 Institute of Physics and engineering in Medicine.

关键词： Image quality

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A rob.s. biometric authentication and PIN distribution technique for secure mobile commerce applications

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Research Journal of Applied sciences, engineering and Technology 2015年第6期9卷 409-418页

作者： Prakash, R. Arun Mehata, K.M. Chellappan, C. Department of Computer Science and Engineering University College of Engineering Ariyalur Tamil Nadu India Department of Computer Science and Engineering B.S. Abdur Rahman University Chennai Tamil Nadu India Department of Computer Science and Engineering GKM College of Engineering and Technology Chennai Tamil Nadu India

In a mobile emerging world, user authentication, service provider authentication and security is very important in mobile commerce. User authentication is performed by using fingerprint b.s.d biometric methodology. Existing system used for Mobile purchasing/payment services in handheld devices does not analyze fingerprint matching and feature extraction techniques in an efficient way. Also the existing system is not secure and accurate for m-payments applications. We propose secure, efficient and accurate m-commerce architecture for m-commerce applications. This involves fusion of Minutiae Maps (MM) and Orientation Maps (OM) for fingerprint feature extraction. The fingerprint is sent to the biometric server in a secure way using Discrete Wavelet Transform (DWT) data hiding method. User fingerprint will be checked and compared using MM and OM methods to figure out the fingerprint threshold matching score. If the threshold is 80-99% PIN distribution process is initiated, otherwise user authentication is failed. The user PIN is converted into a unique sequence and divided into two parts. Along with the user PIN, user IP address, time stamp, user ID are encrypted using RC4 (stream cipher) algorithm. Also a hash function is appended to the cipher text using secure Hash Algorithm (sHA4). One half is verified by the authentication server and the other half is verified by the external server. After verification both the servers sends only OK message to the bank. This study looks to provide a high secure and efficient solution for m-commerce applications. © Maxwell scientific Organization, 2015.

关键词： biometric server Discrete wavelet transform m-commerce Minutiae maps Orientation maps secure hash function stream cipher

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scalability Challenges in Web.s.arch Engines

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2015年

作者： b. barla Cambazoglu Ricardo baeza-Yates

ISBN: (数字)9781627058131

In this book, we aim to provide a fairly comprehensive overview of the scalability and efficiency challenges in large-scale web.s.arch engines. More specifically, we cover the issues involved in the design of three separate systems that are commonly available in every web.s.ale search engine: web crawling, indexing, and query processing systems. We present the performance challenges encountered in these systems and review a wide range of design alternatives employed as solution to these challenges, specifically focusing on algorithmic and architectural optimizations. We discuss the available optimizations at different computational granularities, ranging from a single computer node to a collection of data centers. We provide some hints to both the practitioners and theoreticians involved in the field about the way large-scale web.s.arch engines operate and the adopted design choices. Moreover, we survey the efficiency literature, providing pointers to a large number of relatively important research papers. Finally, we discuss some open research problems in the context of search engine efficiency.

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Clustering models for data stream mining

Clustering models for data stream mining

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IUTAM symposium on the Dynamics of Extreme Events Influenced by Climate Change (2013)

作者： Mythily, R. banu, Aisha Raghunathan, shriram Department of Information Technology B.S. Abdur Rahman University Chennai India Department of Computer Science and Engineering B.S. Abdur Rahman University Chennai India

The scope of this research is to aggregate news contents that exists in data streams. A data stream may have several research issues. A user may only be interested in a subset of these research issues;there could be many different research issues from multiple streams, which discuss similar topic from different perspectives. A user may be interested in a topic but do not know how to collect all feeds related to this topic. The objective is to cluster all stories in the data streams into hierarchical structure for a better serve to the readers. The work utilizes segment wise distributional clustering that show the effectiveness of data streams. To better serve the news readers, advance data organization is highly desired. Once catching a glimpse of the topic, user can browse the returned hierarchy and find other stories/feeds talking about the same topic in the internet. The dynamically changing of stories needs to use the segment wise distributional clustering algorithm to have the capability to process information incrementally. © 2015 The Authors. Published by Elsevier b.V.

关键词： Data mining

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Impact Assessment of Electric Vehicle Charging on Hydro Ottawa Distribution Networks at Neighborhood Levels

Impact Assessment of Electric Vehicle Charging on Hydro Otta...

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IEEE Canadian Conference on Electrical and computer engineering

作者： Jian Xiong Di Wu Haibo Zeng shichao Liu Xiaoyu Wang Department of Electronics Carleton University Ottawa ON K1S 5B6 Canada Department of Electrical and Computer Engineering McGill University Montreal QC H3A 0E9 Canada Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Blacksburg VA 24061 USA Department of Electronics and the Department of System and Computer Engineering Carleton University Ottawa ON K1S 5B6 Canada

ISBN: (纸本)9781479958306

Due to large numbers of electric vehicles (EVs) are expected to be integrated into Canadian distribution systems, it is important to assess the impact of EV charging on these distribution systems. This paper investigates the effect of EV charging on a distribution network of Hydro Ottawa at a neighborhood level. Real-time distribution system data provided by Hydro Ottawa are implemented for the invesitigation. both transformer capacity and secondary current limit are considered to find the maximum number of different types of EVs that can be connected to the grid in this neighborhood. An optimal charging strategy is also designed and tested in this paper.

关键词： Lead batteries Power demand Load modeling standards computers Electronic mail

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Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

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scientific data 2021年第1期8卷 72页

作者： Gilberto Pastorello Carlo Trotta Eleonora Canfora Housen Chu Danielle Christianson You-Wei Cheah Cristina Poindexter Jiquan Chen Abdelrahman Elb.s.andy Marty Humphrey Peter Isaac Diego Polidori Markus Reichstein Alessio Ribeca Catharine van Ingen Nicolas Vuichard Leiming Zhang brian Amiro Christof Ammann M Altaf Arain Jonas Ardö Timothy Arkebauer stefan K Arndt Nicola Arriga Marc Aubinet Mika Aurela Dennis baldocchi Alan barr Eric beamesderfer Luca belelli Marchesini Onil bergeron Jason beringer Christian bernhofer Daniel berveiller Dave billesbach Thomas Andrew black Peter D blanken Gil bohrer Julia boike Paul V bolstad Damien bonal Jean-Marc bonnefond David R bowling Rosvel bracho Jason brodeur Christian brümmer Nina buchmann benoit burban sean P burns Pauline buysse Peter Cale Mauro Cavagna Pierre Cellier shiping Chen Isaac Chini Torben R Christensen James Cleverly Alessio Collalti Claudia Consalvo bruce D Cook David Cook Carole Coursolle Edoardo Cremonese Peter s Curtis Ettore D'Andrea Humberto da Rocha Xiaoqin Dai Kenneth J Davis bruno De Cinti Agnes de Grandcourt Anne De Ligne Raimundo C De Oliveira Nicolas Delpierre Ankur R Desai Carlos Marcelo Di bella Paul di Tommasi Han Dolman Francisco Domingo Gang Dong sabina Dore Pierpaolo Duce Eric Dufrêne Allison Dunn Jiří Dušek Derek Eamus Uwe Eichelmann Hatim Abdalla M ElKhidir Werner Eugster Cacilia M Ewenz brent Ewers Daniela Famulari silvano Fares Iris Feigenwinter Andrew Feitz Rasmus Fensholt Gianluca Filippa Marc Fischer John Frank Marta Galvagno Mana Gharun Damiano Gianelle bert Gielen beniamino Gioli Anatoly Gitelson Ignacio Goded Mathias Goeckede Allen H Goldstein Christopher M Gough Michael L Goulden Alexander Graf Anne Griebel Carsten Gruening Thomas Grünwald Albin Hammerle shijie Han Xingguo Han birger Ulf Hansen Chad Hanson Juha Hatakka Yongtao He Markus Hehn bernard Heinesch Nina Hinko-Najera Lukas Hörtnagl Lindsay Hutley Andreas Ibrom Hiroki Ikawa Marcin Jackowicz-Korczynski Dalibor Janouš Wilma Jans Rachhpal Jassal shicheng Jiang Tomomichi Kato Myr Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. gzpastorello@lbl.gov. DIBAF University of Tuscia Viterbo 01100 Italy. Euro-Mediterranean Centre on Climate Change Foundation (CMCC) Lecce 73100 Italy. Climate & Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Department of Civil Engineering California State University Sacramento CA 95819 USA. Department of Geography Environment and Spatial Sciences Michigan State University East Lansing MI 48823 USA. Department of Computer Science University of Virginia Charlottesville VA 22904 USA. TERN Ecosystem Processes Menzies Creek VIC3159 Australia. Max Planck Institute for Biogeochemistry Jena 07701 Germany. Laboratoire des Sciences du Climat et de l'Environnement (LSCE) CEA CNRS UVSQ UPSACLAY Gif sur Yvette 91190 France. Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China. Department of Soil Science University of Manitoba Winnipeg MB R3T2N2 Canada. Department of Agroecology and Environment Agroscope Research Institute Zürich 8046 Switzerland. School of Geography and Earth Sciences McMaster University L8S4K1 Hamilton ON Canada. Department of Physical Geography and Ecosystem Science Lund University Lund 22362 Sweden. Department of Agronomy and Horticulture University of Nebraska-Lincoln Lincoln NE 68583 USA. School of Ecosystem and Forest Sciences The University of Melbourne Richmond VIC3121 Australia. Department of Biology Research Group PLECO University of Antwerp Antwerp 2610 Belgium. Joint Research Centre European Commission Ispra 21027 Italy. TERRA Teaching and Research Center University of Liege Gembloux B-5030 Belgium. Finnish Meteorological Institute Helsinki 00560 Finland. ES

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26th Annual Computational Neuroscience Meeting (CNs*2017): Part 3 Antwerp, belgium. 15-20 July 2017 Abstracts

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bMC NEUROsCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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