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arXiv 2021年

作者： Schrom, Edward Kinzig, Ann Forrest, Stephanie Graham, Andrea L. Levin, Simon A. Bergstrom, Carl T. Castillo-Chavez, Carlos Collins, James P. De Boer, Rob J. Doupé, Adam Ensafi, Roya Feldman, Stuart Grenfell, Bryan T. Halderman, J. Alex Huijben, Silvie Maley, Carlo Moses, Melanie Perelson, Alan S. Perrings, Charles Plotkin, Joshua Rexford, Jennifer Tiwari, Mohit Department of Ecology and Evolutionary Biology Princeton University 106A Guyot Hall PrincetonNJ08544 United States School of Life Sciences Arizona State University TempeAZ85287 United States Julie Ann Wrigley Global Institute of Sustainability Arizona State University TempeAZ85287 United States Biodesign Center for Biocomputation Security and Society Arizona State University TempeAZ85287 United States School of Computing Informatics and Decision Sciences Engineering Arizona State University TempeAZ85287 United States Santa Fe Institute Santa FeNM87501 United States Department of Biology University of Washington SeattleWA98195 United States Arizona State University TempeAZ85287 United States Theoretical Biology and Bioinformatics Utrecht University Utrecht3584 CH Netherlands Center for Cybersecurity and Digital Forensics Global Security Initiative Arizona State University TempeAZ85287 United States Department of Electrical Engineering and Computer Science Computer Science and Engineering Division University of Michigan Ann ArborMI48109 United States Schmidt Futures New YorkNY10011 United States Princeton School of Public and International Affairs Princeton University PrincetonNJ08544 United States Center for Computer Security and Society University of Michigan Ann ArborMI48109 United States Center for Evolution and Medicine School of Life Sciences Arizona State University TempeAZ85287 United States Arizona Cancer Evolution Center Arizona State University TempeAZ85287 United States Department of Computer Science University of New Mexico AlbuquerqueNM87131 United States University of New Mexico Department of Computer Science AlbuquerqueNM87131 United States Department of Biology University of New Mexico AlbuquerqueNM87131 United States Theoretical Biology and Biophysics Group Los Alamos National Laboratory Los AlamosNM87545 United States Department of Biology University of Pennsylvania PhiladelphiaPA19104 Unite

We explore the commonalities between methods for assuring the security of computer systems (cybersecurity) and the mechanisms that have evolved through natural selection to protect vertebrates against pathogens, and how insights derived from studying the evolution of natural defenses can inform the design of more effective cybersecurity systems. More generally, security challenges are crucial for the maintenance of a wide range of complex adaptive systems, including financial systems, and again lessons learned from the study of the evolution of natural defenses can provide guidance for the protection of such *** Codes A.0. Copyright © 2021, The Authors. All rights reserved.

关键词： Cybersecurity

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OER: Six Perspectives on Global Misconceptions and Challenges

OER: Six Perspectives on Global Misconceptions and Challenge...

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IEEE International Conference on Teaching, Assessment and Learning for engineering (TALE)

作者： Dave Towey Sorel Reisman Henry Chan Claudio Demartini Edmundo Tovar Tiziana Margaria School of Computer Science University of Nottingham Ningbo China Ningbo People’s Republic of China Department of Information Systems and Decision Sciences California State University Fullerton Fullerton U.S.A. Department of Computing The Hong Kong Polytechnic University Hong Kong China Control & Computer Engineering Department Politecnico di Torino Turin Italy School of Computer Engineers Universidad Politécnica de Madrid Madrid Spain Department of Computer Science and Information Systems University of Limerick Limerick Ireland

ISBN: (数字)9781728126654

ISBN: (纸本)9781728126661

Open Educational Resources (OERs) are freely accessible materials for teaching, learning, and research that have been made available such that they can be freely used, modified, and shared. Prompted by the potential positive impact that OERs can have, a growing community of OER enthusiasts has been advocating for their adoption in higher education, and elsewhere. The growing demand for computer science education and training (especially in areas related to artificial intelligence, machine learning, and big data) has led to speculation as to how OERs may be best leveraged to support such teaching and learning. The recent occasion of an international OER workshop at the 2019 IEEE Conference on computers, Software and Applications (COMPSAC) allowed for six OER enthusiasts, all with extensive OER experience, to reflect on the status of OER adoption and understanding. These reflections, addressing misconceptions and challenges, form the basis for this paper.

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A single-phase single-stage grid-connected photovoltaic inverter implemented based on ripple voltage control and optimal mppt algorithm

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International Journal of electrical engineering 2018年第6期25卷 215-224页

作者： Yu, Jingrong Liu, Maoyun Deng, Limin Lu, Xiaonan Su, Mei School of Information Science and Engineering Central South University Hunan University Changsha China Department of Electrical Engineering and Computer Science University of Tennessee Knoxville United States Central South University China Shandong University Chandong China Electrical engineering Central South University China Energy Systems Division Argonne National Laboratory LemontIL United States Tsinghua University Beijing China Department of Energy Technology Aalborg University IEEE PELS IAS and PES Society Denmark School of Information Science and Engineering Central South University China

In this paper, a single-phase single-stage (SPSS) photovoltaic (PV) inverter is proposed, which is capable of flexibly mitigating the impact of second-order ripple power and achieving the optimal maximum power point tracking (MPPT) algorithm using inherent-ripple-based extremum seeking (ES) method. A ripple power transferring circuit (RPTC) is employed in the proposed SPSS inverter, and a flexible ripple voltage transferring algorithm is proposed to cope with the trade-off between maximum acceptable ripple voltage across the DC-link capacitor and minimum operational requirement of the inherent-ripple-based MPPT algorithm. © 2018, Chinese Institute of electrical engineering. All rights reserved.

关键词： Electric inverters

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Research directions for an open unit manufacturing process repository: A collaborative vision

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Manufacturing Letters 2018年 15卷 71-75页

作者： Bernstein, William Z. Bala Subramaniyan, Arun Brodsky, Alexander Garretson, Ian C. Haapala, Karl R. Libes, Don Morris, K.C. Pan, Rong Prabhu, Vittal Sarkar, Arkopaul Shankar Raman, Arvind Wu, Zhenhua Systems Integration Division Engineering Laboratory NIST GaithersburgMD United States School of Computing Informatics & Decision Systems Engineering Arizona State University TempeAZ United States Department of Computer Science George Mason University FairfaxVA United States Department of Mechanical and Aerospace Engineering University of California Davis DavisCA United States School of Mechanical Industrial and Manufacturing Engineering Oregon State University CorvallisOR United States Department of Industrial and Manufacturing Engineering Pennsylvania State University State College PA United States College of Engineering and Technology Ohio University AthensOH United States College of Engineering and Technology Virginia State University PetersburgVA United States

The design of manufacturing systems can see dramatic improvements through the use of digital technologies for modeling and simulation prior to deployment. At the 2017 ASME International Manufacturing science and engineering Conference held jointly with the 45th SME North American Manufacturing Research Conference, researchers met within a workshop to discuss structuring and presenting research for modeling manufacturing processes to support life cycle assessment. Workshop participants explored a vision for using standard formats to represent manufacturing processes in a community-based repository and identified research opportunities and challenges. This paper places these resulting research directions into a plan for implementing the vision. © 2017

关键词： Life cycle

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Robust medical instrument segmentation challenge 2019

arXiv

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arXiv 2020年

作者： Roβ, Tobias Reinke, Annika Full, Peter M. Wagner, Martin Kenngott, Hannes Apitz, Martin Hempe, Hellena Filimon, Diana Mindroc Scholz, Patrick Tran, Thuy Nuong Bruno, Pierangela Arbelaéz, Pablo Bian, Gui-Bin Bodenstedt, Sebastian Bolmgren, Jon Lindström Bravo-Sánchez, Laura Chen, Hua-Bin González, Cristina Guo, Dong Halvorsen, Pål Heng, Pheng-Ann Hosgor, Enes Hou, Zeng-Guang Isensee, Fabian Jha, Debesh Jiang, Tingting Kirtac, Kadir Jin, Yueming Kletz, Sabrina Leger, Stefan Li, Zhixuan Maier-Hein, Klaus H. Ni, Zhen-Liang Riegler, Michael A. Schoeffmann, Klaus Shi, Ruohua Speidel, Stefanie Stenze, Michael Twick, Isabell Wang, Gutai Wang, Jiacheng Wang, Liansheng Wang, Lu Zhang, Yujie Zhou, Yan-Jie Zhu, Lei Wiesenfarth, Manuel Kopp-Schneider, Annette Müller-Stich, Beat P. Maier-Hein, Lena Heidelberg Germany University of Heidelberg Germany Heidelberg Germany Department of General Heidelberg University Hospital Visceral and Transplant Surgery Heidelberg Germany caresyntax Berlin Germany University of Chinese Academy Sciences Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China SimulaMet Oslo Norway Tromsø Norway Oslo Norway School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China Partner Site Dresden Heidelberg Germany Faculty of Medicine and University Hospital Carl Gustav Carus Technische Universität Dresden Dresden Germany Dresden Germany Universidad de Los Andes Bogotá Colombia Peking University Peking China Department of Computer Science School of Informatics Xiamen University Xiamen China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong German Cancer Research Center Division of Biostatistics Heidelberg Germany Institute of Information Technology Klagenfurt University Austria

Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and roboticassisted interventions. While numerous methods for detecting, segmenting and tracking of medical instruments based on endoscopic video images have been proposed in the literature, key limitations remain to be addressed: Firstly, robustness, that is, the reliable performance of state-of-the-art methods when run on challenging images (e.g. in the presence of blood, smoke or motion artifacts). Secondly, generalization;algorithms trained for a specific intervention in a specific hospital should generalize to other interventions or institutions. In an effort to promote solutions for these limitations, we organized the Robust Medical Instrument Segmentation (ROBUST-MIS) challenge as an international benchmarking competition with a specific focus on the robustness and generalization capabilities of algorithms. For the first time in the field of endoscopic image processing, our challenge included a task on binary segmentation and also addressed multi-instance detection and segmentation. The challenge was based on a surgical data set comprising 10,040 annotated images acquired from a total of 30 surgical procedures from three different types of surgery. The validation of the competing methods for the three tasks (binary segmentation, multi-instance detection and multi-instance segmentation) was performed in three different stages with an increasing domain gap between the training and the test data. The results confirm the initial hypothesis, namely that algorithm performance degrades with an increasing domain gap. While the average detection and segmentation quality of the best-performing algorithms is high, future research should concentrate on detection and segmentation of small, crossing, moving and transparent instrument(s) (parts). Copyright © 2020, The Authors. All rights reserved.

关键词： Endoscopy

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Abnormality Detection Inside Blood Vessels with Mobile Nanomachines

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IEEE Transactions on Molecular, Biological, and Multi-Scale Communications 2018年第3期4卷 189-194页

作者： Varshney, Neeraj Patel, Adarsh Deng, Yansha Haselmayr, Werner Varshney, Pramod K. Nallanathan, Arumugam Wireless Networks Division National Institute of Standards and Technology GaithersburgMD20899 United States Department of Electrical Engineering and Computer Science Syracuse University SyracuseNY13210 United States Department of Informatics King's College London LondonWC2R 2LS United Kingdom Institute for Communications Engineering and RF-Systems Johannes Kepler University Linz Linz4040 Austria School of Electronic Engineering and Computer Science Queen Mary University of London LondonE14FS United Kingdom

Motivated by the numerous healthcare applications of molecular communication within Internet of Bio-Nano Things (IoBNT) paradigm, this paper addresses the problem of abnormality detection in a blood vessel using multiple biological embedded computing devices called cooperative biological nanomachines (CNs), and a common receiver called the fusion center (FC). Due to blood flow inside a vessel, each CN and the FC are assumed to be mobile. In this paper, each CN performs abnormality detection with certain probabilities of detection and false alarm. The CNs report their local decisions to an FC over a diffusion-advection blood flow channel using different types of molecules in the presence of inter-symbol interference, multi-source interference, and counting errors. The FC employs the OR and AND logic-based fusion rules to make the final decision after decoding the local decisions using the sub-optimal detectors based on the approximation of the log-likelihood ratio. For the aforementioned system, probabilities of detection, and false alarm at the FC are derived. Finally, simulation results are presented to validate the derived analytical results, which provide important insights. © 2015 IEEE.

关键词： Blood vessels

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Global, regional, and national age-sex-specific burden of diarrhoeal diseases, their risk factors, and aetiologies, 1990–2021, for 204 countries and territories: a systematic analysis for the Global Burden of Disease Study 2021

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The Lancet Infectious Diseases 2025年第5期25卷 519-536页

作者： Kyu, Hmwe Hmwe Vongpradith, Avina Dominguez, Regina-Mae Villanueva Ma, Jianing Albertson, Samuel B. Novotney, Amanda Khalil, Ibrahim A. Troeger, Christopher E. Doxey, Matthew C. Ledesma, Jorge R. Sirota, Sarah Brooke Bender, Rose Grace Swetschinski, Lucien R. Cunningham, Matthew Spearman, Sandra Abate, Yohannes Habtegiorgis Abd Al Magied, Abdallah H.A. El Hafeez, Samar Abd Abdoun, Meriem Abera, Bayeh Abidi, Hassan Aboagye, Richard Gyan Abtew, Yonas Derso Abualruz, Hasan Abu-Gharbieh, Eman Abukhadijah, Hana J. Aburuz, Salahdein Addo, Isaac Yeboah Adekanmbi, Victor Adetunji, Charles Oluwaseun Oluwaseun Adeyeoluwa, Temitayo Esther Adhikary, Ripon Kumar Adnani, Qorinah Estiningtyas Sakilah Adra, Saryia Adzigbli, Leticia Akua Afolabi, Aanuoluwapo Adeyimika Afzal, Muhammad Sohail Afzal, Saira Agampodi, Suneth Buddhika Agide, Feleke Doyore Ahinkorah, Bright Opoku Ahmad, Aqeel Ahmad, Sajjad Ahmed, Ayman Ahmed, Haroon Ahmed, Saeed Akinosoglou, Karolina Akter, Ema Al Awaidy, Salah Alajlani, Muaaz M. Alam, Khurshid Albakri, Almaza Albashtawy, Mohammed Aldhaleei, Wafa A. Algammal, Abdelazeem M. Al-Gheethi, Adel Ali Saeed Ali, Abid Ali, Syed Shujait Ali, Waad Alif, Sheikh Mohammad Aljunid, Syed Mohamed Al-Marwani, Sabah Almazan, Joseph Uy Al-Mekhlafi, Hesham M. Almustanyir, Sami Alqahatni, Saleh A. Alrawashdeh, Ahmad Al-Rifai, Rami H. Alsabri, Mohammed A. Altaf, Awais Altirkawi, Khalid A. Alvis-Guzman, Nelson Alvis-Zakzuk, Nelson J. Alyahya, Mohammad Sharif Ibrahim Al-Zyoud, Walid A. Amugsi, Dickson A. Andrei, Catalina Liliana Antoni, Sebastien Anuoluwa, Boluwatife Stephen Anuoluwa, Iyadunni Adesola Anwar, Saleha Anwari, Palwasha Apostol, Geminn Louis Carace Arabloo, Jalal Arafat, Mosab Aravkin, Aleksandr Y. Areda, Demelash Aregawi, Brhane Berhe Aremu, Abdulfatai Arndt, Michael Benjamin Asgedom, Akeza Awealom Ashraf, Tahira Athari, Seyyed Shamsadin Atreya, Alok Ayele, Firayad Azadi, Davood Azhar, Gulrez Shah Aziz, Shahkaar Azzam, Ahmed Y. Babu, Giridhara Rathnaiah Taghanaki, Pegah Bahrami Bahramian, Saeed Balakrishnan, Senthi Department of Health Metrics Sciences School of Medicine Institute for Health Metrics and Evaluation University of Washington Seattle 98195 WA United States 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 Center for Biostatistics Ohio State University Columbus OH United States Department of Global Health University of Washington Seattle WA United States Urban Indian Health Institute Seattle Indian Health Board Seattle WA United States School of Medicine Yale University New Haven CT United States Department of Clinical Governance and Quality Improvement Aleta Wondo General Hospital Aleta Wondo Ethiopia College of Pharmacy Ajman University Ajman United Arab Emirates Department of Epidemiology Alexandria University Alexandria Egypt Department of Medicine University of Sétif Algeria Sétif Algeria Department of Health Sétif Algeria Department of Medical Microbiology Bahir Dar University Bahir Dar Ethiopia Department of Biology Ghent University Ghent Belgium Laboratory Technology Sciences Department Yasuj University of Medical Sciences Yasuj Iran Department of Family and Community Health University of Health and Allied Sciences Ho Ghana Department of Biomedical Science Arba Minch University Arba Minch Ethiopia Department of Nursing Al Zaytoonah University of Jordan Amman Jordan Amman Jordan Department of Clinical Sciences Sharjah United Arab Emirates Department of Biopharmaceutics and Clinical Pharmacy University of Jordan Amman Jordan Medical Research Center-Academic Health System Hamad Medical Corporation Doha Qatar College of Pharmacy University of Jordan Amman Jordan Department of Therapeutics United Arab Emirates University Al Ain United Arab Emirates School of Medicine University of Sydney Sydney NSW Australia Centre for Social Research in Health University of New South Wales Syd

Background: Diarrhoeal diseases claim more than 1 million lives annually and are a leading cause of death in children younger than 5 years. Comprehensive global estimates of the diarrhoeal disease burden for specific age groups of children younger than 5 years are scarce, and the burden in children older than 5 years and in adults is also understudied. We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 to assess the burden of, and trends in, diarrhoeal diseases overall and attributable to 13 pathogens, as well as the contributions of associated risk factors, in children and adults in 204 countries and territories from 1990 to 2021. Methods: We used the Cause of Death Ensemble modelling strategy to analyse vital registration data, verbal autopsy data, mortality surveillance data, and minimally invasive tissue sampling data. We used DisMod-MR (version 2.1), a Bayesian meta-regression tool, to analyse incidence and prevalence data identified via systematic reviews, population-based surveys, and claims and inpatient data. We calculated diarrhoeal disability-adjusted life-years (DALYs) as the sum of years of life lost (YLLs) and years lived with disability (YLDs) for each location, year, and age–sex group. For aetiology estimation, we used a counterfactual approach to quantify population-attributable fractions (PAFs). Additionally, we estimated the diarrhoeal disease burden attributable to the independent effects of risk factors using the comparative risk assessment framework. Findings: In 2021, diarrhoeal diseases caused an estimated 1·17 million (95% uncertainty interval 0·793–1·62) deaths globally, representing a 60·3% (50·6–69·0) decrease since 1990 (2·93 million [2·31–3·73] deaths). The most pronounced decline was in children younger than 5 years, with a 79·2% (72·4–84·6) decrease in diarrhoeal deaths. Global YLLs also decreased substantially, from 186 million (147–221) in 1990 to 51·4 million (39·9–65·9) in 2021. In 2021, an e

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Mobile Millimeter Wave Channel Tracking: A Bayesian Beamforming Framework Against DOA Uncertainty

Mobile Millimeter Wave Channel Tracking: A Bayesian Beamform...

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IEEE Global Communications Conference

作者： Yan Yang Shuping Dang Miaowen Wen Shahid Mumtaz Mohsen Guizani State Key Lab. of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Computer Electrical and Mathematical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Kingdom of Saudi Arabia School of Electronic and Information Engineering South China University of Technology Guangzhou China Instituto de Telecomunicações Campus Universitário de Santiago Aveiro Portugal Department of Computer Science University of Idaho Moscow ID USA

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

A Bayesian approach for joint beamforming and tracking is presented, which is robust to uncertain direction-of-arrival (DOA) estimation in millimeter wave (mmWave) multiple input multiple output (MIMO) systems. The uncertain or completely unknown DOA is modeled as a discrete random variable with a priori distribution defined over a set of candidate DOAs, which describes the level of uncertainty. The estimation problem of DOA is formulated as a weighted sum of previously observed DOA values, where the weights are chosen according to a posteriori probability density function (pdf) of the DOA. In particular, we present a motion trajectory-based a priori probability approximation method, which implies a high probability to perform a directional estimate within a specific spatial region. We demonstrate that the proposed approach is robust to DOA uncertainty, and the beam tracking problem can be addressed by incorporating the Bayesian approach with an expectation maximization (EM) algorithm. Simulation results validate the theoretical analysis and demonstrate the effectiveness of the proposed solution.

关键词： Direction-of-arrival estimation Radio frequency Bayes methods Array signal processing Uncertainty Estimation OFDM

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Blockchain based Consensus Checking in Cloud Storage

Blockchain based Consensus Checking in Cloud Storage

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International Symposium on Autonomous Decentralized systems (ISADAS)

作者： Guanqiu Qi Zhiqin Zhu Matthew Haner Jaesung Sim Jian Sun Yi Chai Yinong Chen Li Yongfu Mathematics and Computer Information Science Mansfield University of Pennsylvania Mansfield PA 16933 USA College of Automation Chongqing University of Posts and Telecommunications Chongqing 400065 China School of Electronic and Information Engineering Southwest University Chongqing 400715 China Ministry of Education Key Laboratory of Complex System Safety and Control (Chongqing University) Chongqing 400044 China School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ 85287 USA

ISBN: (数字)9781728116723

ISBN: (纸本)9781728116730

In cloud computing, data is duplicated to prevent data loss. One way to achieve data consistency in such a distributed computing systems is to use a blockchain. Based on practical Byzantine fault tolerance (PBFT), a specific type of blockchain, this paper proposes a synchronous Byzantine fault tolerance (SBFT) algorithm that not only maintains data consistency, but also has much higher efficiency than other general blockchain algorithms. We provide experimental results that demonstrate the algorithm's data consistency, efficiency, and reliability.

关键词： Cloud computing Fault tolerance Fault tolerant systems Peer-to-peer computing

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A methodological approach to identify policy priorities of municipalities in Greece

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Energy Procedia 2018年 153卷 376-382页

作者： Alecos Kelemenis Panagiota Galiatsatou Decision Support Systems Laboratory School of Electrical and Computer Engineering National Technical University of Athens Iroon Politechniou 9 15780 Athens Greece Environmental Design School of Science and Technology Hellenic Open University Parodos Aristotelous 18 26335 Patra Greece Hydraulics Laboratory Division of Hydraulics and Environmental Engineering Department of Civil Engineering Aristotle University of Thessaloniki Thessaloniki 54124 Greece

This study introduces a proposed framework encompassing all pivotal sectors a municipality deals with contributing to sustainable development at a local level. This framework is tailor-made to fit into the Greek environment in which municipalities operate. Furthermore, by making use of an appropriate weighting method, considering the challenges of the working environment in Greek municipalities, the study proposes a specific methodology to better understand the policy priorities of municipalities. This information can be used to adjust and better align local policies with national strategies and with the needs and priorities of citizens.

关键词： Sustainable cities urban sustainable development urban planning city sustainability framework weighting methods

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