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Data-centric-infrastructure Functional Architecture

NTT Technical Review 2022年第5期20卷 24-31页

作者： Masutani, Hitoshi Schumacher, Christoph Takasugi, Koichi Network Service Platform Research Group Core Network Technology Research Project NTT Network Service Systems Laboratories Japan Computing Systems Group System Software Project NTT Software Innovation Center Japan Frontier Communication Laboratory NTT Network Innovation Laboratories Japan

Society is changing at a rapid pace due to technical innovations in Internet technologies and cloud computing. In the near future, ever-more refined artificial-intelligence applications are expected, working on ever-larger data sets. Implementing such applications requires increasing the computational capacity available to the providers of such newly emerging services. However, energy consumption of such services must be reduced to achieve ESG (environmental, social, and governance) and the sustainable development goals. To fulfill both of these objectives at the same time, a drastic rethink of computing infrastructure is required. With this in mind, the IOWN Global Forum is creating the data-centric-infrastructure (DCI) functional architecture. This article gives an overview of the first DCI functional architecture reference document about this next-generation computing foundation. © 2022 Nippon Telegraph and Telephone Corp.. All rights reserved.

关键词： Sustainable development

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MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

arXiv

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arXiv 2023年

作者： Li, Jianning Zhou, Zongwei Yang, Jiancheng Pepe, Antonio Gsaxner, Christina Luijten, Gijs Qu, Chongyu Zhang, Tiezheng Chen, Xiaoxi Li, Wenxuan Wodzinski, Marek Friedrich, Paul Xie, Kangxian Jin, Yuan Ambigapathy, Narmada Nasca, Enrico Solak, Naida Melito, Gian Marco Vu, Viet Duc Memon, Afaque R. Schlachta, Christopher De Ribaupierre, Sandrine Patel, Rajnikant Eagleson, Roy Chen, Xiaojun Mächler, Heinrich Kirschke, Jan Stefan de la Rosa, Ezequiel Christ, Patrick Ferdinand Li, Hongwei Bran Ellis, David G. Aizenberg, Michele R. Gatidis, Sergios Küstner, Thomas Shusharina, Nadya Heller, Nicholas Andrearczyk, Vincent Depeursinge, Adrien Hatt, Mathieu Sekuboyina, Anjany Löffler, Maximilian Liebl, Hans Dorent, Reuben Vercauteren, Tom Shapey, Jonathan Kujawa, Aaron Cornelissen, Stefan Langenhuizen, Patrick Ben-Hamadou, Achraf Rekik, Ahmed Pujades, Sergi Boyer, Edmond Bolelli, Federico Grana, Costantino Lumetti, Luca Salehi, Hamidreza Ma, Jun Zhang, Yao Gharleghi, Ramtin Beier, Susann Sowmya, Arcot Garza-Villarreal, Eduardo A. Balducci, Thania Angeles-Valdez, Diego Souza, Roberto Rittner, Leticia Frayne, Richard Ji, Yuanfeng Ferrari, Vincenzo Chatterjee, Soumick Dubost, Florian Schreiber, Stefanie Mattern, Hendrik Speck, Oliver Haehn, Daniel John, Christoph Nürnberger, Andreas Pedrosa, João Ferreira, Carlos Aresta, Guilherme Cunha, António Campilho, Aurélio Suter, Yannick Garcia, Jose Lalande, Alain Vandenbossche, Vicky Van Oevelen, Aline Duquesne, Kate Mekhzoum, Hamza Vandemeulebroucke, Jef Audenaert, Emmanuel Krebs, Claudia van Leeuwen, Timo Vereecke, Evie Heidemeyer, Hauke Röhrig, Rainer Hölzle, Frank Badeli, Vahid Krieger, Kathrin Gunzer, Matthias Chen, Jianxu van Meegdenburg, Timo Dada, Amin Balzer, Miriam Fragemann, Jana Jonske, Frederic Rempe, Moritz Malorodov, Stanislav Bahnsen, Fin H. Seibold, Constantin Jaus, Alexander Marinov, Zdravko Jaeger, Paul F. Stiefelhagen, Rainer Santos, Ana Sofia Lindo, Mariana Ferreira, André Alves, Victor Kamp, Michael Abourayya, Amr Nensa, Felix Hörst, Fabian Brehmer, Alexander Hein Girardetstraße 2 Essen45131 Germany Graz University of Technology Inffeldgasse 16c Graz8010 Austria Graz Austria The Department of Computer Science Johns Hopkins University Malone Hall 3400 N Charles St BaltimoreMD21218 United States Rte Cantonale Lausanne1015 Switzerland The Department of Measurement and Electronics AGH University of Science and Technology Krakow Poland Sierre Switzerland Department of Biomedical Engineering University of Basel Hegenheimermattweg Allschwil167C CH-4123 Switzerland The Boston College 140 Commonwealth Ave Chestnut HillMA02467 United States University Hospital B7-200 339 Windermere Road LondonN6A 5A5 Canada The Department of Radiology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai200240 China The Research Center for Connected Healthcare Big Data ZhejiangLab Zhejiang Hangzhou311121 China The Faculty of Statistics Technical University Dortmund August-Schmidt-Straße 1 Dortmund44227 Germany The Institute of Mechanics Graz University of Technology Kopernikusgasse 24/IV Graz8010 Austria The Institute of Biomedical Manufacturing and Life Quality Engineering State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China The Department of Cardiac Surgery Medical University Graz Auenbruggerplatz 29 Graz8036 Austria The Department of Diagnostic and Interventional Radiology University Hospital Giessen Justus-Liebig-University Giessen Klinikstraße 33 Giessen35392 Germany The Department of Mechanical Engineering Mehran University of Engineering and Technology Jamshoro Sindh76062 Pakistan The Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China The Geschäftsführender Oberarzt Abteilung für Interventionelle und Diagnostische Neuroradiologie Universitätsklinikum der Technischen Universität München Ismaningerstr. 22 München81675 Germany icometrix Kolonel Be

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from numerous shape-related publications in premier vision conferences as well as the growing popularity of ShapeNet (about 51,300 models) and Princeton ModelNet (127,915 models). For the medical domain, we present a large collection of anatomical shapes (e.g., bones, organs, vessels) and 3D models of surgical instrument, called MedShapeNet, created to facilitate the translation of data-driven vision algorithms to medical applications and to adapt SOTA vision algorithms to medical problems. As a unique feature, we directly model the majority of shapes on the imaging data of real patients. As of today, MedShapeNet includes 23 datasets with more than 100,000 shapes that are paired with annotations (ground truth). Our data is freely accessible via a web interface and a Python application programming interface (API) and can be used for discriminative, reconstructive, and variational benchmarks as well as various applications in virtual, augmented, or mixed reality, and 3D printing. Exemplary, we present use cases in the fields of classification of brain tumors, skull reconstructions, multi-class anatomy completion, education, and 3D printing. In future, we will extend the data and improve the interfaces. The project pages are: https://***/ and https://***/Jianningli/*** Codes 68T01 © 2023, CC BY.

关键词： Large dataset

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Digital health technologies in the accelerating medicines Partnership® Schizophrenia Program

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Schizophrenia (Heidelberg, Germany) 2025年第1期11卷 83页

作者： Johanna T W Wigman Ann Ee Ching Yoonho Chung Habiballah Rahimi Eichi Erlend Lane Carsten Langholm Aditya Vaidyam Andrew Jin Soo Byun Anastasia Haidar Jessica Hartmann Angela Nunez Dominic Dwyer Adibah Amani Nasarudin Owen Borders Isabelle Scott Zailyn Tamayo Priya Matneja Kang-Ik Cho Jean Addington Luis K Alameda Celso Arango Nicholas J K Breitborde Matthew R Broome Kristin S Cadenhead Monica E Calkins Eric Yu Hai Chen Jimmy Choi Philippe Conus Cheryl M Corcoran Barbara A Cornblatt Covadonga M Diaz-Caneja Lauren M Ellman Paolo Fusar-Poli Pablo A Gaspar Carla Gerber Louise Birkedal Glenthøj Leslie E Horton Christy Lai Ming Hui Joseph Kambeitz Lana Kambeitz-Ilankovic Matcheri S Keshavan Sung-Wan Kim Nikolaos Koutsouleris Kerstin Langbein Daniel Mamah Daniel H Mathalon Vijay A Mittal Merete Nordentoft Godfrey D Pearlson Jesus Perez Diana O Perkins Albert R Powers Jack Rogers Fred W Sabb Jason Schiffman Jai L Shah Steven M Silverstein Stefan Smesny Walid Yassin William S Stone Gregory P Strauss Judy L Thompson Rachel Upthegrove Swapna Verma Jijun Wang Daniel H Wolf Phillip Wolff Laura M Rowland Simon D'Alfonso Ofer Pasternak Sylvain Bouix Patrick D McGorry Rene S Kahn John M Kane Carrie E Bearden Scott W Woods Martha E Shenton Barnaby Nelson Justin T Baker John Torous University of Groningen University Medical Center Groningen Department of Psychiatry Interdisciplinary Centre of Psychopathology and Emotion regulation Groningen The Netherlands. Centre for Youth Mental Health The University of Melbourne Parkville VIC Australia. Orygen Parkville VIC Australia. McLean Hospital Belmont MA USA. Harvard Medical School Boston MA USA. Beth Israel Deaconess Medical Center Harvard Medical School Boston MA USA. Brigham and Women's Hospital Harvard Medical School Boston MA USA. Yale University New Haven CT USA. Northwell Health Glen Oaks NY USA. Department of Psychiatry Hotchkiss Brain Institute University of Calgary Calgary AB Canada. Service de Psychiatrie Générale Dép. de Psychiatrie CHUV Lausanne Lausanne Switzerland. Department of Child and Adolescent Psychiatry Institute of Psychiatry and Mental Health Hospital General Universitario Gregorio Marañón Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM) CIBERSAM ISCIII School of Medicine Universidad Complutense Madrid Spain. Department of Psychiatry and Behavioral Health Ohio State University Columbus OH USA. Department of Psychology Ohio State University Columbus OH USA. Institute for Mental Health School of Psychology University of Birmingham Birmingham UK. Birmingham Women's and Children's NHS Foundation Trust Birmingham UK. University of California San Diego CA USA. Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Department of Psychiatry School of Clinical Medicine Li Ka Shing Faculty of Medicine University of Hong Kong Hong Kong Hong Kong. Olin Neuropsychiatry Research Center Hartford HealthCare Behavioral Health Network Hartford CT USA. Department of Psychiatry Icahn School of Medicine at Mount Sinai New York NY USA. Department of Psychiatry Donald and Barbara Zucker School of Medicine Hempstead NY USA. Feinstein Institute for Medical Research Manhasset NY USA. Department of Psych

Although meta-analytic studies have shown that 25-33% of those at Clinical High Risk (CHR) for psychosis transition to a first episode of psychosis within three years, less is known about estimating the risk of transition at an individual level. Digital phenotyping offers a novel approach to explore the nature of CHR and may help to improve personalized risk prediction. Specifically, digital data enable detailed mapping of experiences, moods and behaviors during longer periods of time (e.g., weeks, months) and offer more insight into patterns over time at the individual level across their routine daily life. However, while novel digital health technologies open up many new avenues of research, they also come with specific challenges, including replicability of results and the adherence of participants. This paper outlines the design of the digital component of the Accelerating Medicines Partnership® Schizophrenia Program (AMP SCZ) project, a large international collaborative project that follows individuals at CHR for psychosis over a period of two years. The digital component comprises one-year smartphone-based digital phenotyping and actigraphy. Smartphone-based digital phenotyping includes 30-item short daily self-report surveys and voice diaries as well as passive data capture (geolocation, on/off screen state, and accelerometer). Actigraphy data are collected via an Axivity wristwatch. The aim of this paper is to describe the design and the three goals of the digital measures used in AMP SCZ to: (i) better understand the symptoms, real-life experiences, and behaviors of those at CHR for psychosis, (ii) improve the prediction of transition to psychosis and other health outcomes in this population based on digital phenotyping and, (iii) serve as an example for replicable and ethical research across geographically diverse regions and cultures. Accordingly, we describe the rationale, protocol and implementation of these digital components of the AMP SCZ project. **

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Integrated management for network virtualization infrastructure

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Journal of the National Institute of Information and Communications technology 2015年第2期62卷 33-43页

作者： Yamada, Kazuhisa Nakao, Akihiro Kanada, Yasusi Saida, Yoshinori Amemiya, Koichiro Future Networking Research Group Media Innovation Laboratory NTT Network Innovation Laboratories Network Japan Interfaculty Initiative in Information Studies Graduate School of Interdisciplinary Information Studies University of Tokyo Network Computer Science Japan Network Research Department Center for Technology Innovation - Information and Telecommunications Network Computer Vision Japan System Integration and Services Technologies Management Division Technological Strategy Planning Department NEC Network Japan Software Laboratory Fujitsu Labratories Ltd. Cloud Computing Network Japan

This paper introduces research and development results of extended functions on our network virtualization infrastructure which achieve advanced network virtualization. Our results achieved to meet five requirements which are resource abstraction, resource isolation, resource elasticity, deep programmability and authentication. In addition, we proposed evolvable architecture and extended network virtualization for edge network and terminals. We also deployed our system on JGN-X testbed.

关键词： Virtual reality

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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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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Automated software testing using metahurestic technique based on an Ant Colony Optimization

Automated software testing using metahurestic technique base...

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International Symposium on Electronic system Design

作者： Srivastava, Praveen Ranjan Baby, Km Pilani Rajasthan 333031 India Network System Software Technology Group Cisco Systems Bangalore 560 087 India

ISBN: (纸本)9780769542942

software testing is an important and valuable part of the software development life cycle. Due to time, cost and other circumstances, exhaustive testing is not feasible that's why there is a need to automate the testing process. Testing effectiveness can be achieved by the State Transition Testing (STT) which is commonly used in real time, embedded and web-based kinds of software systems. The tester's main job to test all the possible transitions in the system. This paper proposed an Ant Colony Optimization (ACO) technique for the automated and full coverage of all state-transitions in the system. Present paper approach generates test sequence in order to obtain the complete software coverage. This paper also discusses the comparison between two metaheuristic techniques (Genetic Algorithm and Ant Colony optimization) for transition based testing. © 2010 IEEE.

关键词： software testing

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Automated software Testing Using Metahurestic Technique Based on an Ant Colony Optimization

Automated Software Testing Using Metahurestic Technique Base...

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International Symposium on Electronic system Design (ISED)

作者： Praveen Ranjan Srivastava Km Baby Computer Science and Information System Group Birla Institute of Technology and Science Pilani Rajasthan India Network System Software Technology Group Cisco Systems Inc. Bangalore India

关键词： software Gallium software testing Genetic algorithms software algorithms Artificial intelligence

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Fault management based on peer-to-peer paradigms

Fault management based on peer-to-peer paradigms

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10th IFIP/IEEE International Symposium on Integrated network Management 2007, IM '07

作者： Leitner, Markus Leitner, Philipp Zach, Martin Collins, Sandra Fahy, Claire PSE-Program and System Engineering Siemens AG Austria Vienna Austria Ericsson RandD Ireland Network Management Research Centre Dublin Ireland TSSG-Telecommunications Software and Systems Group Waterford Institute of Technology Waterford Ireland

ISBN: (纸本)1424407990

We present an approach to fault management based on an architecture for distributed and collaborative network management as developed in the CELTIC project Madeira. It uses peer-to-peer communication facilities and a logical overlay network facilitating decentralized and iterative alarm processing and correlation. We argue that such an approach might help to overcome key challenges that are posed by NGN scenarios to traditional centralized network management systems. Its feasibility is demonstrated by means of a case study from the area of wireless mesh networks, where an application prototype has been developed. © 2007 IEEE.

关键词： Distributed computer systems

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Fault Management based on peer-to-peer paradigms;A case study report from the CELTIC project Madeira

Fault Management based on peer-to-peer paradigms;A case stud...

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IFIP/IEEE International Symposium on Integrated network Management

作者： Markus Leitner Philipp Leitner Martin Zach Sandra Collins Claire Fahy System Engineering Siemens AG Vienna Austria Network Management Research Centre Ericsson Research and Development Ireland Dublin Ireland Waterford Institute of Technology TSSG-Telecommunications Software & Systems Group Waterford Ireland

关键词： Project management Peer to peer computing Telecommunication network management Energy management Power system management Research and development management software development management technology management Engineering management Next generation networking

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