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Euromicro Symposium on Digital System design

作者： Stef Louwers Luc Waeijen Mark Wijtvliet Ruud Koolen Henk Corporaal Advanced Technology Development Centre School of Electronic and Information Engineering Nantong University Nantong China iTrust Singapore University of Technology and Design Singapore Electronics and Electrical Communication Engineering Department of Information and Communication Engineering Daegu Gyeongbuk Institute of Science and Technology Daegu South Korea Department of Computer Science and Engineering Indian Institute of Technology Kharagpur India Information Systems Technology and Design Pillar Singapore University of Technology and Design Singapore

Mismatch between operand width and hardware operation width is a source of energy inefficiency. This work proposes multi-granular arithmetic, which can adapt the hardware operation width to the application, preventing energy being wasted. In particular multi-granular arithmetic in the context of coarse-grain reconfigurable architectures is considered for the operations of addition, accumulation, multiplication, and multiply-accumulation. Using a silicon synthesis-toolflow it is shown that the multi-granular designs can perform narrow width operations, e.g. an 8-by-8 multiplication, much more efficiently than standard full-width circuits. For multiplication the required energy is reduced by up to 15 times under realistic conditions when compared to a full-width 32x32 multiplier.

关键词： computer architecture Registers Field programmable gate arrays Adders Logic gates Hardware Decoding

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Promoting resilience for food, energy, and water interdependencies

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Journal of Environmental Studies and Sciences 2016年第1期6卷 50-61页

作者： Zimmerman, Rae Zhu, Quanyan Dimitri, Carolyn Institute for Civil Infrastructure Systems (www.nyu.edu/icis) Robert F. Wagner Graduate School of Public Service New York University 295 Lafayette Street–2nd Floor New York 10012 NY United States Department of Electrical and Computer Engineering Tandon School of Engineering New York University 5 MetroTech Center-LC200A Brooklyn 11201 NY United States Departments of Nutrition Food Studies and Public Health Steinhardt School New York University New York 10003 NY United States

This paper presents relationships among food, energy, and water (FEW) systems, reflecting the interconnections among the energy/water, water/energy, water/food, and energy/food sectors. First, a unique approach uses metrics and quantification to reflect interdependencies among these sectors. Next, changes in food technology and practices are put forth in terms of impacts changes are likely to produce for a set of FEW system relationships. Organic farming or shifts in food consumption patterns, such as reduced meat consumption, are two examples of changes in food technology and practices that could affect water and energy use. From a policy perspective, changes in energy and water policy can potentially facilitate increased water conservation and greater use of renewable energy sources;such policy shifts are addressed in terms of changes to metrics and/or their values. The purpose of this work is to establish a network model that quantifies interdependencies among different sectors in terms of resource usage. The model is flexible and can accommodate other factors such as cyberphysical and logical interdependencies. The established model that these metrics provide inputs for enables analysis and design of the resilience mechanisms for FEW complex systems. Examples are used to illustrate the concepts developed in this work. © 2016, AESS.

关键词： Food-energy-water production tradeoffs Infrastructure interdependencies Network analysis Organic agriculture Resilience

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Stability of a giant connected component in a complex network

arXiv

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arXiv 2017年

作者： Kitsak, Maksim Ganin, Alexander A. Eisenberg, Daniel A. Krapivsky, Pavel L. Krioukov, Dmitri Alderson, David L. Linkov, Igor Department of Physics Northeastern University 110 Forsyth Street 111 Dana Research Center BostonMA02115 United States University of Virginia Department of Systems and Information Engineering CharlottesvilleVA22904 United States U.S. Army Engineer Research and Development Center Contractor ConcordMA01742 United States School of Sustainable Engineering and the Built Environment Arizona State University TempeAZ85281 United States Department of Physics Boston University BostonMA02215 United States Departments of Physics Mathematics and Electrical and Computer Engineering Northeastern University BostonMA02115 United States Operations Research Department Naval Postgraduate School MontereyCA93943 United States U.S. Army Engineer Research and Development Center Environmental Laboratory ConcordMA01742 United States

We analyze the stability of the network’s giant connected component under impact of adverse events, which we model through the link percolation. Specifically, we quantify the extent to which the largest connected component of a network consists of the same nodes, regardless of the specific set of deactivated links. Our results are intuitive in the case of single-layered systems: the presence of large degree nodes in a single-layered network ensures both its robustness and stability. In contrast, we find that interdependent networks that are robust to adverse events have unstable connected components. Our results bring novel insights to the design of resilient network topologies and the reinforcement of existing networked systems. Copyright © 2017, The Authors. All rights reserved.

关键词： Complex networks

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Preface

Lecture Notes of the Institute for Computer Sciences, Social...

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Lecture Notes of the Institute for computer Sciences, Social-Informatics and Telecommunications engineering, LNICST 2017年 212卷 VI页

作者： Duan, Lingjie Sanjab, Anibal Li, Husheng Chen, Xu Materassi, Donatello Elazouzi, Rachid Engineering Systems and Design Pillar Singapore University of Technology and Design Dover Singapore Virginia Tech BlacksburgVA United States Electrical Engineering/Computer Sciences The University of Tennessee KnoxvilleTN United States School of Data and Computer Science Higher Education Mega Center Sun Yat-sen University Guangzhou China University of Tennessee KnoxvilleTN United States University of Avignon Avignon France

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Preservation and interconnection of iISS and ISS dissipation inequalities by scaling

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IFAC-PapersOnLine 2015年第11 11期48卷 766-771页

作者： Ito, Hiroshi Kellett, Christopher M. Department of Systems Design and Informatics Kyushu Institute of Technology Iizuka Fukuoka820-8502 Japan School of Electrical Engineering and Computer Science The University of Newcastle CallaghanNew South Wales2308 Australia

Scaling of Lyapunov functions has been a central tool in analysis and design of nonlinear systems. In this paper, the essence of some scaling techniques used extensively in the literature is reformulated in view of preservation of dissipation inequalities of integral input-to-state stability (iISS) and input-to-state stability (ISS). The iISS small-gain theorem is revisited from this viewpoint. Preservation of ISS dissipation inequalities is shown to not always be necessary, while preserving iISS which is weaker than ISS is convenient. By establishing relationships between the Legendre-Fenchel transform and the reformulated scaling techniques, this paper proposes a way to construct less complicated Lyapunov functions for interconnected systems. © 2015

关键词： Lyapunov methods Energy dissipation Lyapunov functions Nonlinear systems Dissipation inequality Input to state stability Integral input to state stability Integral input to state stability (iISS) Legendre Fenchel transforms Small gain theorem

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The overlapping burden of the three leading causes of disability and death in sub-Saharan African children

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Nature Communications 2022年第1期13卷 1-14页

作者： Reiner, Robert C. Welgan, Catherine A. Troeger, Christopher E. Baumann, Mathew M. Weiss, Daniel J. Deshpande, Aniruddha Blacker, Brigette F. Miller-Petrie, Molly K. Earl, Lucas Bhatt, Samir Abolhassani, Hassan Abosetugn, Akine Eshete Abu-Gharbieh, Eman Adekanmbi, Victor Adetokunboh, Olatunji O. Aghaali, Mohammad Aji, Budi Alahdab, Fares Al-Aly, Ziyad Alhassan, Robert Kaba Ali, Saqib Alizade, Hesam Aljunid, Syed Mohamed Almasi-Hashiani, Amir Al-Mekhlafi, Hesham M. Altirkawi, Khalid A. Alvis-Guzman, Nelson Amare, Azmeraw T. Amini, Saeed Amugsi, Dickson A. Ancuceanu, Robert Andrei, Catalina Liliana Ansari, Fereshteh Anvari, Davood Appiah, Seth Christopher Yaw Arabloo, Jalal Aremu, Olatunde Atout, Maha Moh’d Wahbi Ausloos, Marcel Ausloos, Floriane Ayanore, Martin Amogre Aynalem, Yared Asmare Azene, Zelalem Nigussie Badawi, Alaa Baig, Atif Amin Banach, Maciej Bedi, Neeraj Bhagavathula, Akshaya Srikanth Bhandari, Dinesh Bhardwaj, Nikha Bhardwaj, Pankaj Bhattacharyya, Krittika Bhutta, Zulfiqar A. Bijani, Ali Birhanu, Tesega Tesega Mengistu Bitew, Zebenay Workneh Boloor, Archith Brady, Oliver J. Butt, Zahid A. Car, Josip Carvalho, Felix Casey, Daniel C. Chattu, Vijay Kumar Chowdhury, Mohiuddin Ahsanul Kabir Chu, Dinh-Toi Coelho, Camila H. Cook, Aubrey J. Damiani, Giovanni Daoud, Farah Gela, Jiregna Darega Darwish, Amira Hamed Daryani, Ahmad Das, Jai K. Davis Weaver, Nicole Deribe, Kebede Desalew, Assefa Dharmaratne, Samath Dhamminda Dianatinasab, Mostafa Diaz, Daniel Djalalinia, Shirin Dorostkar, Fariba Dubljanin, Eleonora Duko, Bereket Dwyer-Lindgren, Laura Effiong, Andem El Sayed Zaki, Maysaa El Tantawi, Maha Enany, Shymaa Fattahi, Nazir Feigin, Valery L. Fernandes, Eduarda Ferrara, Pietro Fischer, Florian Foigt, Nataliya A. Folayan, Morenike Oluwatoyin Foroutan, Masoud Frostad, Joseph Jon Fukumoto, Takeshi Gaidhane, Abhay Motiramji Gebrekrstos, Hailemikael Gebrekidan G. K. Gebremeskel, Leake Gebreslassie, Assefa Ayalew Gething, Peter W. Gezae, Kebede Embaye Ghadiri, Keyghobad Ghashghaee, Ahmad Golechha, Mahaveer Gubar Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Malaria Atlas Project University of Oxford Oxford United Kingdom Imperial College London London United Kingdom Department of Laboratory Medicine Karolinska University Hospital Huddinge Sweden Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Department of Public Health Debre Berhan University Debre Berhan Ethiopia Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Population Health Sciences King’s College London London United Kingdom Centre of Excellence for Epidemiological Modelling and Analysis Stellenbosch University Stellenbosch South Africa Department of Global Health Stellenbosch University Cape Town South Africa Department of Epidemiology and Biostatistics Qom University of Medical Sciences Qom Iran Faculty of Medicine and Public Health Jenderal Soedirman University Purwokerto Indonesia Mayo Evidence-based Practice Center Mayo Clinic Foundation for Medical Education and Research Rochester MN United States John T. Milliken Department of Internal Medicine Washington University in St. Louis St. Louis MO United States Clinical Epidemiology Center Department of Veterans Affairs St Louis MO United States Institute of Health Research University of Health and Allied Sciences Ho Ghana Department of Information Systems College of Economics and Political Science Sultan Qaboos University Muscat Oman Infectious and Tropical Disease Research Center Hormozgan University of Medical Sciences Bandar Abbas Iran Department of Health Policy and Management Kuwait University Safat Kuwait International Centre for Casemix and Clinical Coding National University of Malaysia Bandar Tun Razak Malaysia Department of Epidemiology Arak University of Medical Sciences Arak Iran Medical Research Center

Despite substantial declines since 2000, lower respiratory infections (LRIs), diarrhoeal diseases, and malaria remain among the leading causes of nonfatal and fatal disease burden for children under 5 years of age (under 5), primarily in sub-Saharan Africa (SSA). The spatial burden of each of these diseases has been estimated subnationally across SSA, yet no prior analyses have examined the pattern of their combined burden. Here we synthesise subnational estimates of the burden of LRIs, diarrhoea, and malaria in children under-5 from 2000 to 2017 for 43 sub-Saharan countries. Some units faced a relatively equal burden from each of the three diseases, while others had one or two dominant sources of unit-level burden, with no consistent pattern geographically across the entire subcontinent. Using a subnational counterfactual analysis, we show that nearly 300 million DALYs could have been averted since 2000 by raising all units to their national average. Our findings are directly relevant for decision-makers in determining which and targeting where the most appropriate interventions are for increasing child survival. © 2022, The Author(s).

关键词： Biogeography Epidemiology Infectious diseases Malaria

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An iterative approach to the mixed H2/H∞ synthesis problem based on the exterior-point approach

An iterative approach to the mixed H2/H∞ synthesis problem ...

引用

International Conference on Advanced Mechatronic systems (ICAMechS)

作者： Yukl Imanishi Yasushi Kami Eitaku Nobuyama Department of Systems Design and Informatics Kyushu Institute of Technology Fukuoka Japan Department of Electrical and Computer Engineering National Institute of Technology Hyogo Japan Department of Applied Mathematics and Physics Graduate School of Informatics Kyoto University Kyoto Japan

In this paper we treat the mixed H 2 /H ∞ control problem with the static output feedback, whose feasible solution is difficult to be found theoretically. To this problem we propose an iterative approach based on the idea of the exterior-point approach in the sense that a sequence of controller variables starting from the infeasible region to the feasible one is constructed. One of features of our approach is to be able to update Lyapunov variables and controller variables simultaneously using a partial derivative of the H 2 cost function. The efficiency of our approach is shown by numerical examples.

关键词： Conferences Mechatronics Australia

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Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

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Scientific data 2021年第1期8卷 242页

作者： Julien Cohen-Adad Eva Alonso-Ortiz Mihael Abramovic Carina Arneitz Nicole Atcheson Laura Barlow Robert L Barry Markus Barth Marco Battiston Christian Büchel Matthew Budde Virginie Callot Anna J E Combes Benjamin De Leener Maxime Descoteaux Paulo Loureiro de Sousa Marek Dostál Julien Doyon Adam Dvorak Falk Eippert Karla R Epperson Kevin S Epperson Patrick Freund Jürgen Finsterbusch Alexandru Foias Michela Fratini Issei Fukunaga Claudia A M Gandini Wheeler-Kingshott Giancarlo Germani Guillaume Gilbert Federico Giove Charley Gros Francesco Grussu Akifumi Hagiwara Pierre-Gilles Henry Tomáš Horák Masaaki Hori James Joers Kouhei Kamiya Haleh Karbasforoushan Miloš Keřkovský Ali Khatibi Joo-Won Kim Nawal Kinany Hagen H Kitzler Shannon Kolind Yazhuo Kong Petr Kudlička Paul Kuntke Nyoman D Kurniawan Slawomir Kusmia René Labounek Maria Marcella Laganà Cornelia Laule Christine S Law Christophe Lenglet Tobias Leutritz Yaou Liu Sara Llufriu Sean Mackey Eloy Martinez-Heras Loan Mattera Igor Nestrasil Kristin P O'Grady Nico Papinutto Daniel Papp Deborah Pareto Todd B Parrish Anna Pichiecchio Ferran Prados Àlex Rovira Marc J Ruitenberg Rebecca S Samson Giovanni Savini Maryam Seif Alan C Seifert Alex K Smith Seth A Smith Zachary A Smith Elisabeth Solana Y Suzuki George Tackley Alexandra Tinnermann Jan Valošek Dimitri Van De Ville Marios C Yiannakas Kenneth A Weber Ii Nikolaus Weiskopf Richard G Wise Patrik O Wyss Junqian Xu NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. jcohen@polymtl.ca. Functional Neuroimaging Unit CRIUGM Université de Montréal Montreal QC Canada. jcohen@polymtl.ca. Mila - Quebec AI Institute Montreal QC Canada. jcohen@polymtl.ca. NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. Department of Radiology Swiss Paraplegic Centre Nottwil Switzerland. Centre for Advanced Imaging The University of Queensland Brisbane Australia. Department of Radiology University of British Columbia Vancouver BC Canada. Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital Charlestown MA USA. Department of Radiology Harvard Medical School Boston MA USA. Harvard-Massachusetts Institute of Technology Health Sciences & Technology Cambridge MA USA. School of Information Technology and Electrical Engineering The University of Queensland Brisbane Australia. NMR Research Unit Queen Square MS Centre UCL Queen Square Institute of Neurology Faculty of Brain Sciences University College London London UK. Department of Systems Neuroscience University Medical Center Hamburg-Eppendorf Hamburg Germany. Department of Neurosurgery Medical College of Wisconsin Milwaukee WI USA. Aix-Marseille Univ CNRS CRMBM Marseille France. APHM Hopital Universitaire Timone CEMEREM Marseille France. Vanderbilt University Institute of Imaging Science Vanderbilt University Medical Center Nashville TN USA. Department of Computer and Software Engineering Polytechnique Montreal Montreal Canada. CHU Sainte-Justine Research Centre Montreal QC Canada. Centre de Recherche CHUS CIMS Sherbrooke Canada. Sherbrooke Connectivity Imaging Lab (SCIL) Computer Science department Université de Sherbrooke Sherbrooke Canada. Université de Strasbourg CNRS ICube Strasbourg France. UHB - University Hospital Brno and Masaryk University Department of Radiology and Nuclear

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Energy-Efficient Transceivers for Ultra-Highspeed computer Board-to-Board Communication

Energy-Efficient Transceivers for Ultra-Highspeed Computer B...

引用

IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2015

作者： Jenning, Michael Klein, Bernhard Hahnel, Ronny Plettemeier, Dirk Fritsche, David Tretter, Gregor Carta, Corrado Ellinger, Frank Nardmann, Tobias Schroter, Michael Nieweglowski, Krzysztof Bock, Karlheinz Israel, Johannes Fischer, Andreas Ul Hassan, Najeeb Landau, Lukas Dörpinghaus, Meik Fettweis, Gerhard Department for RF Engineering Faculty of Electrical and Computer Engineering Technische Universität Dresden Germany Department for Circuit Design and Network Theory Faculty of Electrical and Computer Engineering Technische Universität Dresden Germany Department for Electron Devices and Integrated Circuits Faculty of Electrical and Computer Engineering Technische Universität Dresden Germany Electronic Packaging Lab Faculty of Electrical and Computer Engineering Technische Universität Dresden Germany Department of Numerical Optimization Department of Mathematics Technische Universität Dresden Germany Vodafone Department Mobile Communications Systems Faculty of Electrical and Computer Engineering Technische Universität Dresden Germany

ISBN: (纸本)9781467365550

Enabling the vast computational and throughput requirements of future high performance computer systems and data centers requires innovative approaches. In this paper, we will focus on the communication between computer boards. One alternative to the bottleneck presented by copper wire based cable-bound communication is the deployment of wireless links between nodes consisting of processors and memory on different boards in a system. In this paper, we present an interdisciplinary approach that targets an integrated wireless transceiver for short-range ultra-high speed computer board-to-board communication. Based on our achieved results and current developments, we will also estimate energy consumption of such a transceiver. © 2015 IEEE.

关键词： Energy utilization

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CVXPY: a python-embedded modeling language for convex optimization

The Journal of Machine Learning Research

引用

The Journal of Machine Learning Research 2016年第1期17卷

作者： Kevin Murphy Bernhard Schölkopf Steven Diamond Stephen Boyd Google MPI for Intelligent Systems Departments of Computer Science and Electrical Engineering Stanford University Stanford CA

CVXPY is a domain-specific language for convex optimization embedded in Python. It allows the user to express convex optimization problems in a natural syntax that follows the math, rather than in the restrictive standard form required by solvers. CVXPY makes it easy to combine convex optimization with high-level features of Python such as parallelism and object-oriented design. CVXPY is available at http://***/ under the GPL license, along with documentation and examples.

关键词： Python conic programming convex optimization convexity verification domain-specific languages

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