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arXiv 2018年

作者： Bergholm, Ville Izaac, Josh Schuld, Maria Gogolin, Christian Ahmed, Shahnawaz Ajith, Vishnu Alam, M. Sohaib Alonso-Linaje, Guillermo AkashNarayanan, B. Asadi, Ali Arrazola, Juan Miguel Azad, Utkarsh Banning, Sam Blank, Carsten Bromley, Thomas R. Cordier, Benjamin A. Ceroni, Jack Delgado, Alain Matteo, Olivia Di Dusko, Amintor Garg, Tanya Guala, Diego Hayes, Anthony Hill, Ryan Ijaz, Aroosa Isacsson, Theodor Ittah, David Jahangiri, Soran Jain, Prateek Jiang, Edward Khandelwal, Ankit Kottmann, Korbinian Lang, Robert A. Lee, Christina Loke, Thomas Lowe, Angus McKiernan, Keri Meyer, Johannes Jakob Montañez-Barrera, J.A. Moyard, Romain Niu, Zeyue O’Riordan, Lee James Oud, Steven Panigrahi, Ashish Park, Chae-Yeun Polatajko, Daniel Quesada, Nicolás Roberts, Chase Sá, Nahum Schoch, Isidor Shi, Borun Shu, Shuli Sim, Sukin Singh, Arshpreet Strandberg, Ingrid Soni, Jay Száva, Antal Thabet, Slimane Vargas-Hernández, Rodrigo A. Vincent, Trevor Vitucci, Nicola Weber, Maurice Wierichs, David Wiersema, Roeland Willmann, Moritz Wong, Vincent Zhang, Shaoming Killoran, Nathan Xanadu 777 Bay Street Toronto Canada Wallenberg Centre for Quantum Technology Department of Microtechnology and Nanoscience Chalmers University of Technology Gothenburg412 96 Sweden Indian Institute of Information Technology Kottayam India NASA Ames Research Center Moffett FieldCA94035 United States Mountain ViewCA94043 United States data cybernetics Martin-Kolmsperger-Str 26 Landsberg86899 Germany Department of Medical Informatics and Clinical Epidemiology Oregon Health and Science University PortlandOR97202 United States Dept. of Electrical and Computer Engineering The University of British Columbia VancouverBCV6T 1Z4 Canada Department of Physics Indian Institute of Technology Roorkee Uttarakhand Roorkee India qBraid 5235 South Harper Court ChicagoIL60615 United States Factal Analytics Level 2 Chimes Building Plot 61 Sector - 44 Haryana Gurgaon122003 India Centre for High Energy Physics Indian Institute of Science Karnataka Bengaluru560012 India ICFO - Institut de Ciencies Fotoniques The Barcelona Institute of Science and Technology Av. Carl Friedrich Gauss 3 Castelldefels Barcelona08860 Spain Chemical Physics Theory Group Department of Chemistry University of Toronto Canada DUG Technology 76 Kings Park Rd West PerthWA6005 Australia Rigetti Computing 2919 Seventh Street BerkeleyCA94710 United States Dahlem Center for Complex Quantum Systems Freie Universität Berlin Berlin14195 Germany Institute for Advanced Simulation Jülich Supercomputing Centre Forschungszentrum Jülich Jülich52425 Germany University of Amsterdam Netherlands School of Physical Sciences National Institute of Science Education and Research HBNI Odisha Jatni752 050 India Cervest United Kingdom Centro Brasileiro de Pesquisas Físicas Rua Dr. Xavier Sigaud 150 Rio de Janeiro22290-180 Brazil Zurich8092 Switzerland Neo4j UK Ltd United Kingdom Zapata Computing Inc. United States ITC Infotech Bangalore India Department of Microtechnology and Nanoscienc

PennyLane is a Python 3 software framework for differentiable programming of quantum computers. The library provides a unified architecture for near-term quantum computing devices, supporting both qubit and continuous-variable paradigms. PennyLane’s core feature is the ability to compute gradients of variational quantum circuits in a way that is compatible with classical techniques such as backpropagation. PennyLane thus extends the automatic differentiation algorithms common in optimization and machine learning to include quantum and hybrid computations. A plugin system makes the framework compatible with any gate-based quantum simulator or hardware. We provide plugins for hardware providers including the Xanadu Cloud, Amazon Braket, and IBM Quantum, allowing PennyLane optimizations to be run on publicly accessible quantum devices. On the classical front, PennyLane interfaces with accelerated machine learning libraries such as TensorFlow, PyTorch, JAX, and Autograd. PennyLane can be used for the optimization of variational quantum eigensolvers, quantum approximate optimization, quantum machine learning models, and many other applications. Copyright © 2018, The Authors. All rights reserved.

关键词： Machine learning

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Interim design report

arXiv

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arXiv 2020年

作者： Abramowicz, H. Jovin, T. Agatonovic Alonso, O. Amjad, M.S. An, F. Andricek, L. Anduze, M. Anguiano, J. Antonov, E. Aoki, Y. Arteche, F. Attié, D. Büscher, V. Bach, O. Balagura, V. Baudot, J. Begunov, V. Behera, S. Behnke, T. Bellerive, A. Belver, D. Benhammou, Y. Berggren, M. Berriaud, C. Bertolone, G. Besançon, M. Besson, A. Beyer, J. Bezshyyko, O. Bhattacharya, D.S. Bhattacharya, P. Blazey, G. Bocharnikov, V. Boronat, M. Borysov, O. Bosley, R. Boudry, V. Boumediene, D. Bourgeois, C. Jelisavcic, I. Bozovic Breton, D. Brianne, E. Brient, J.-C. Briggl, K. Buesser, K. Callier, S. Alamillo, E. Calvo Carrillo, C. Catalán, A. Chadeeva, M. Chau, P. Chera, M. Chetverushkin, B. Chrzaszcz, M. Claus, G. Colas, P. Colledani, C. Combaret, C. Cornat, R. Corriveau, F. Danilov, M. de la Taille, C. Deguchi, Y. Desch, K. Dieguez, A. Diener, R. Dixit, M. Dong, M. Dorokhov, A. Dozière, G. Drutskoy, A. Dulucq, F. Dyshkant, A. Edy, E. Eigen, G. Einhaus, U. El Bitar, Z. Elkhalii, A. Emberger, L. Esperante, D. Eté, R. Fang, Y. Fedorchuk, O. Firlej, M. Fiutowski, T. Fleck, I. Fourches, N. Fouz, M.C. Francis, K. Fujii, K. Fujii, K. Fullana, E. Fusayasu, T. Fuster, J. Göttlicher, P. Gadow, K. Gaede, F. Gallas, A. Ganjour, S. García, I. Cabrera, H. García Garillot, G. Garutti, E. Gastaldi, F. Ghislain, P. Goffe, M. Gomis, P. Gong, W. Gonnin, A. Goswami, D. Goto, K. Graf, C. Gregor, I.-M. Grenier, G. Guillaumat, R. Habermehl, M. Hagge, L. Hartbrich, O. Hartjes, F. Henschel, H. Heuchel, D. Hidalgo, S. Himmi, A. Hu, T. Hu-Guo, C. Ianigro, J.-C.T. Idzik, M. Irles, A. Ishihara, H. Ishikawa, A. Jönsson, L. Jaaskelainen, K. Jeans, D. Jeglot, J. Kacarevic, G. Kachel, M. Kajiwara, S. Kalinowski, J. Kaminski, J. Kamiya, Y. Karl, R. Kato, Y. Kato, Y. Kawada, S.-I. Kawagoe, K. Khan, S.A. Kleinwort, C. Kluit, P. Kobayashi, M. Koffmane, C. Komamiya, S. Korpachev, S. Kotera, K. Krämer, U. Krüger, K. Kunath, J. Kurata, M. Kurca, T. AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland University of Bergen Institute for Physics and Technology Bergen Norway University of Birmingham School of Physics and Astronomy Edgbaston United Kingdom Budker Institute of Nuclear Physics Siberian Branch Russian Academy of Sciences Novosibirsk State University Novosibirsk Russia University of Bonn Physikalisches Institut Bonn Germany Bergische Universität Wuppertal Fakultät 4/ Physik Wuppertal Germany Carleton University Ottawa Canada Irfu CEA Université Paris Saclay Gif sur Yvette France CIEMAT - Centro de Investigaciones Energéticas Medioambientales y Tecnológicas Madrid Spain Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France CSIC University of Cantabria Instituto de Física de Cantabria Santander Spain Deutsches Elektronen-Synchrotron Hamburg Germany Dhofar University Salalah Oman University of Hamburg Faculty of Mathematics Informatics and Natural Sciences Hamburg Germany Institute of High Energy Physics Austrian Academy of Science Wien Austria Halbeiterlabor der Max-Planck-Gesellschaft München Germany Keldysh Institute of Applied Mathematics Russian Academy of Sciences Moscow Russia University of Tokyo Tokyo Japan CSIC-University of Valencia Instituto de Física Corpuscular Paterna Spain Kraków Poland Institute of High Energy Physics Chinese Academy of Science Beijing China Indian Institute of Technology GuwahatiAssam India Barcelona Spain Institute of Physics of the Czech Academy of Sciences Prague 8 Czech Republic Institut Pluridisciplinaire Hubert Curien Strasbourg France Institut de Physique des deux infinis de Lyon Villeurbanne France Instituto Tecnológico de Aragòn Zaragoza Spain Iwate University Morioka Japan University of Kansas Department of Physics and Astronomy LawrenceKS United States High Energy Accelerator Research Organisation KEK TsukubaIbaraki Japan Kindai University Department of Physics Higashi Os

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Multimodal processes prototyping subject to fuzzy operation time constraints

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IFAC-PapersOnLine 2015年第3期28卷 2103-2108页

作者： Bocewicz, G. Banaszak, Z. Nielsen, I. Dept. of Computer Science and Management Koszalin University of Technology Sniadeckich 2 Koszalin75-453 Poland Dept. of Business Informatics Warsaw University of Technology Narbutta 85 Warsaw02-524 Poland Department of Mechanical and Manufacturing Engineering Aalborg University Aalborg East Denmark

The paper describes a Multimodal Transportation Network (MTN) in which several unimodal networks (Automated Guided Vehicles (AGVs), hoists, lifts, etc.) interact with each other via common shared workstations to provide a variety of demand-responsive material handling operations. Different material handling transport modes provide movement of work pieces between workstations along their manufacturing routes in the MTN. In this context the multimodal processes standing behind multiproduct production flow while executed in MTN can be seen as processes realized with synergic utilization of various local periodically acting processes. Such processes play a determining role in the evaluation of functioning efficiency inter alia in public transport systems, goods transport, energy and data transmission etc. The solution to a constraint satisfaction problem aimed at AGVs fleet match-up scheduling subject to fuzzy operation times constraints is our main contribution. In the considered case both production rate (production takt) and operations execution time are described by imprecise (fuzzy) data. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Constraint satisfaction problems Automatic guided vehicles Manufacture Mass transportation Materials handling Multimodal transportation Scheduling Transportation routes Automated guided vehicles Declarative models Fuzzy constraint Multi modal Multimodal transportation networks Multiproduct productions Public transport systems Responsive materials

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Cooling Load Estimation in the Building Based On Heat Sources

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IOP Conference Series: Earth and Environmental Science 2017年第1期63卷

作者： Chairani S Sulistyo Widyawan Dept. of Electrical Engineering and Information Technology Faculty of Engineering Universitas Gadjah Mada Grafika Street No. 2 Kampus UGM Yogyakarta 55281 (0274) 552305 Indonesia Informatics and Business Institute Darmajaya Faculty of Computer Science Z.A. Pagar Alam Street No. 93 Labuhan Ratu Bandar Lampung Lampung 35141 Indonesia

Heating, ventilation and air conditioning (HVAC) is the largest source of energy consumption. In this research, we discuss cooling load in the room by considering the different heat source and the number of occupancy. Energy cooling load is affected by external and internal heat sources. External cooling load in this discussion include convection outdoor/exterior using the DOE-2 algorithm, calculation of heat using Thermal Analysis Research Program (TARP), and Conduction Transfer Function (CTF). The internal cooling load is calculated based on the activity of the occupants in the office, a number of occupants, heat gain from lighting, and heat gain from electrics equipment. Weather data used is Surakarta weather and design day used is Jakarta design day. We use the ASHRAE standard for building materials and the metabolic of occupants while on the activity. The results show that the number of occupancies have an influence of cooling load. A large number of occupancy will cause the cooling load is great as well.

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Monitoring and detecting atrial fibrillation using wearable technology

Monitoring and detecting atrial fibrillation using wearable ...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Shamim Nemati Mohammad M. Ghassemi Vaidehi Ambai Nino Isakadze Oleksiy Levantsevych Amit Shah Gari D. Clifford Dept of Biomedical Informatics Emory University Atlanta GA Dept. of Electrical Engineering and Computer Science MIT Cambrige MA Philadelnhia Collece of Osteonathic Medicine Suwanee GA Dept of Medicine School of Medicine Atlanta GA Division of Cardiolosv Veterans Affairs Hosoital Atlanta GA Dept of Epidemiology Emory University Atlanta GA Dept of Biomedical Engineering Georgia Institute of Technology Atlanta GA

Atrial fibrillation (AFib) is diagnosed by analysis of the morphological and rhythmic properties of the electrocardiogram. It was recently shown that accurate detection of AFib is possible using beat-to-beat interval variations. This raises the question of whether AFib detection can be performed using a pulsatile waveform such as the Photoplethysmogram (PPG). The recent explosion in use of recreational and professional ambulatory wrist-based pulse monitoring devices means that an accurate pulse-based AFib screening algorithm would enable large scale screening for silent or undiagnosed AFib, a significant risk factor for multiple diseases. We propose a noise-resistant machine learning approach to detecting AFib from noisy ambulatory PPG recorded from the wrist using a modern research watch-based wearable device (the Samsung Simband). Ambulatory pulsatile and movement data were recorded from 46 subjects, 15 with AFib and 31 non symptomatic. Single channel electrocardiogram (ECG), multi-wavelength PPG and tri-axial accelerometry were recorded simultaneously at 128 Hz from the non-dominant wrist using the Simband. Recording lengths varied from 3.5 to 8.5 minutes. Pulse (beat) detection was performed on the PPG waveforms, and eleven features were extracted based on beat-to-beat variability and waveform signal quality. Using 10-fold cross validation, an accuracy of 95 % on out-of-sample data was achieved, with a sensitivity of 97%, specificity of 94%, and an area under the receiver operating curve (AUROC) of 0.99. The described approach provides a noise-resistant, accurate screening tool for AFib from PPG sensors located in an ambulatory wrist watch. To our knowledge this is the first study to demonstrate an algorithm with a high enough accuracy to be used in general population studies that does not require an ambulatory Holter electrocardiographic monitor.

关键词： Biomedical monitoring Electrocardiography Feature extraction Hospitals Monitoring Sensitivity Standards

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Energy-aware multi-layer flexible optical network operation

Energy-aware multi-layer flexible optical network operation

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International Conference on Software, Telecommunications and computer Networks (SoftCOM)

作者： Vasileios Gkamas Konstantinos Christodoulopoulos Emmanouel Varvarigos Computer Engineering and Informatics Dept Greece Computer Technology Institute and Press «Diophantus» Rio Greece

This work studies the energy-minimized multi-layer operation of IP over flexible optical networks, under a dynamic traffic scenario. We extend a multi-layer connection establishment algorithm to jointly optimize the energy consumption of both IP and optical layers. We compare the performance of the proposed energy-aware multi-layer connection establishment algorithm when applied to fixed-grid MLR and flexible optical networks, with that of an energy-unaware solution. We observe that energy savings can be achieved especially at the optical layer, when the proposed energy-aware algorithm is applied to a flexible, as opposed to a fixed-grid MLR optical network, while we also observed a tradeoff between blocking probability and energy efficiency in the case of flexible optical networks.

关键词： Energy consumption IP networks Optical fiber networks Transponders Multiprotocol label switching Heuristic algorithms Optical switches

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A hybrid image enhancement method

A hybrid image enhancement method

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International Conference on Advanced Robotics and Intelligent Systems (ARIS)

作者： Kai-Lung Hua Wei-Lun Sun Chiao-Wen Lu Shih-Che Chien Yung-Yao Chen Dept. of Computer Science and Information Engineering National Taiwan Univ. of Science and Technology Taipei Taiwan Grad. Inst. of Automation Technology National Taipei Tech. Univ. Taipei Taiwan National Chung-Shan Institute of Science & Technology Taoyuan Taiwan

For enhancing image contrast, global histogram equalization uses the histogram information of the entire input image for designing its transformation function. However, such global approach is suitable for overall enhancement, and it fails to adapt with the local image brightness features. In this paper, we present an effective method for image contrast enhancement that combines local information and global information. In local enhancement, we get multiple intensity mapping functions from the recursive mean-separate histogram equalization method. According to intensity level, we map different transformation functions to the center sub-block and its neighboring sub-blocks. This method is combined with unsharp masking to enhance the local detail of the image. Experimental results show the effectiveness of the proposed method.

关键词： Histograms Brightness Electronic mail Consumer electronics Sun Entropy

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Simulation-based implementation and evaluation of a system of systems optimization algorithm in a building control system

Simulation-based implementation and evaluation of a system o...

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Mediterranean Conference on Control and Automation

作者： Roozbeh Sangi Thomas Schild Magnus Daum Johannes Futterer Rita Streblow Dirk Muller Iakovos Michailidis Elias Kosmatopoulos RWTH Aachen University E.ON Energy Research Center Institute for Energy Efficient Buildings and Indoor Climate Aachen German Democritus University of Thrace Dept. of Electrical and Computer Engineering Xanthi Greece and Informatics & Telematics Institute Center for Research and Technology Hellas (ITI-CERTH) Thessaloniki Greece

ISBN: (纸本)9781467383479

The objective of this research is to evaluate the performance of a system of systems optimization algorithm, namely, L4G-PCAO, in building energy systems. Since the test bed of this research is an office building with more than two hundred occupiers, the heating and cooling demands of the building must always be fully satisfied. Consequently, changes in the currently-installed control system cannot be made forthrightly. Therefore, fresh ideas like implementation of new control strategies or optimization algorithms should be firstly put to the test via dynamic simulation, which makes engineers capable of examining new control and optimization strategies. The performance should then be analyzed and evaluated before implementing in the use case. This paper presents a strategy for simulation-based implementation of L4G-PCAO in a building energy system and also evaluates its performance. The results show that it is not only possible to conserve energy by applying this newly-developed optimization algorithm to existing control systems, but also it can shift the usage of energy sources in a more environment-friendly direction.

关键词： Building energy modelling and Simulation Building energy and control systems L4G-PCAO algorithm Local for global Performance evaluation Simulation-based building energy optimization Technical System of Systems (TSoS)

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Erratum to: Search for squarks and gluinos in final states with one isolated lepton, jets, and missing transverse momentum at s = 13 TeV with the ATLAS detector

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The European Physical Journal C 2021年第10期81卷 1-15页

作者： Aad, G. Abbott, B. Abbott, D. C. 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. Adam, L. Adam Bourdarios, C. Adamczyk, L. Adamek, L. Adelman, J. Adiguzel, A. Adorni, S. Adye, T. Affolder, A. A. Afik, Y. Agapopoulou, C. Agaras, M. N. Aggarwal, A. Agheorghiesei, C. Aguilar-Saavedra, J. A. Ahmad, A. Ahmadov, F. Ahmed, W. S. Ai, X. Aielli, G. Akatsuka, S. Akbiyik, M. 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. Alexopoulos, T. Alfonsi, A. Alfonsi, F. Alhroob, M. Ali, B. Ali, S. Aliev, M. Alimonti, G. Allaire, C. Allbrooke, B.M. M. Allen, B. W. Allport, P. P. Aloisio, A. Alonso, F. Alpigiani, C. Alunno Camelia, E. Alvarez Estevez, M. 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, J. K. Andrean, S. Y. Andreazza, A. Andrei, V. Anelli, C. R. Angelidakis, S. Angerami, A. Anisenkov, A. V. Annovi, A. Antel, C. Anthony, M. T. Antipov, E. Antonelli, M. Antrim, D.J. A. Anulli, F. Aoki, M. Aparisi Pozo, J. A. Aparo, M. A. Aperio Bella, L. Aranzabal, N. Araujo Ferraz, V. Araujo Pereira, R. Arcangeletti, C. Arce, A.T. H. Arguin, J.-F. Argyropoulos, S. Arling, J.-H. Armbruster, A. J. Armstrong, A. Arnaez, O. Arnold, H. Arrubarrena Tame, Z. P. Artoni, G. Asada, H. Asai, K. Asai, S. Asawatavonvanich, T. Asbah, N. Asimakopoulou, E. M. Asquith, L. Assahsah, J. Assamagan, K. Astalos, R. Atkin, R. J. Atkinson, M. Atlay, N. B. Atmani, H. Atmasiddha, P. A. Augsten, K. Austrup, V. A. Avolio, G. Ayoub, M. K. Azuelos, G. Babal, D. Bachacou, H. Bachas, K. Backman, F. Bagnaia, P. Bahmani, M. Bahrasemani, H. Bailey, A. J. Bailey, V. R. Baines, J. T. Bakalis, C. Baker, O. K. Bakker, P. J. Bakos, E. Bakshi Gupta, D. Balaji, S. Balasubramanian, R. Baldin, E. M. Balek, P. Balli, F. Balunas CPPM Aix-Marseille Université CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman USA Department of Physics University of Massachusetts Amherst USA CERN Geneva Switzerland II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Department of Physics Royal Holloway University of London Egham UK 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 UK 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 USA INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King’s College London London UK Institut für Physik Universität Mainz Mainz Germany LAPP Université Grenoble Alpes Université Savoie Mont Blanc CNRS/IN2P3 Annecy France AGH University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Department of Physics Northern Illinois University DeKalb USA Department of Physics Bogazici University Istanbul Turkey Dept. of Physics Istanbul University Istanbul Turkey Département de Physique Nucléaire et Corpusculaire Université de Genève Geneva Switzerland Particle Physics Department Rutherford Appleton Laboratory Didcot UK Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz USA IJCLab CNRS/IN2P3 Université Paris-Saclay Orsay France LPC Université Clermont Auvergne CNRS/IN2P3 Clermont-Ferrand France Institute for Mathematics Astrophysics and Particle Physics Radboud University/Nikhef Nijmegen The Netherlands Department of Physics Alexandru Ioan Cuza University of Iasi Iasi Romania Laboratório de Instrumentação e Física E

A correction to this paper has been published: 10.1140/epjc/s10052-021-09344-w

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RECODIS: Resilient Communication Services Protecting End-User Applications from Disaster-Based Failures

RECODIS: Resilient Communication Services Protecting End-Use...

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International Conference on Transparent Optical Networks

作者： Jacek Rak David Hutchison Eusebi Calle Teresa Gomes Matthias Gunkel Paul Smith Janos Tapolcai Sofie Verbrugge Lena Wosinska Gdansk University of Technology Faculty of Electronics Telecommunications and Informatics PL Lancaster University School of Computing and Communications UK University of Girona ES Department of Electrical and Computer Engineering University of Coimbra / INESC Coimbra PT Deutsche Telekom Technik Fixed Mobile Engineering Deutschland Optical Packet Transport Darmstadt DE AIT Austrian Institute of Technology GmbH AT Budapest University of Technology and Economics Dept. of Telecommunication and Media Informatics HU Ghent University - iMinds Internet-based Communications Networks and Services research group (IBCN) BE KTH Royal Institute of Technology School of Information and Communication Technology SE

ISBN: (纸本)9781509014682

Disaster-based failures can seriously disrupt any communication network, making its services unavailable. Such disruptions may be caused by natural disasters, technology-related failures, or malicious attacks, and they are observably increasing in number, intensity and scale. When network services that are a part of critical infrastructure become unavailable, commercial and/or societal problems are inevitable. The issue of limiting the impact of disaster-based failures needs to be urgently addressed due to the lack of suitable mechanisms deployed in the current networks. The COST CA15127 (RECODIS) Action will fill this gap by developing appropriate solutions to provide cost-efficient resilient communications in the presence of disaster-based disruptions considering both existing and emerging communication network architectures. It will be driven by researchers from academia and industry in strong cooperation with governmental bodies. In this paper, we highlight the objectives of RECODIS, its structure, as well as planned outcomes.

关键词： end-to-end resilience disaster-based disruptions

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