检索结果-内蒙古大学图书馆

IEEE International Conference on Automation Science and Engineering

作者： Feifan Wang Feng Ju Yan Lu School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ USA National Institute of Standards and Technology Gaithersburg MD USA

In concert with advances in information and communication technology and their application to manufacturing environments, physical entities in factories are acquiring more intelligence via integration with cyber systems. This integration brings about Cyber-Physical Production Systems and leads to smart manufacturing, the next generation manufacturing paradigm. In the new paradigm, high levels of agility, flexibility, and real-time control make it possible to keep the system running efficiently and self-organized. At the same time, however, it becomes difficult in a self-organized and decentralized system to capture the system's status, evaluate the system's performance, and predict the system's future events. In this article, we suggest improvements to smart manufacturing systems where the intelligence from smart entities could be fully utilized without losing system control. To achieve this goal, a solution for integrating schedule-driven production (push systems) and event-driven production (pull systems) is proposed to optimize both material flow and information flow for manufacturing operations. For each entity in a smart manufacturing system, details of decision making are encapsulated and its status is exposed. The status-based decisions filter out unimportant information and make smart manufacturing systems looselycoupled and predictable. A simulation case study based on Devices Profile for Web Services [1] is used to illustrate the effectiveness of such an approach. The case study suggests that status-based decisions could be applied to smart manufacturing and that they can be part of an approach that balances the selforganized control with overall performance. Therefore, we can make full use of intelligent entities in lower levels of a factory while keeping the entire system under control.

关键词： Smart Manufacturing Systems CyberPhysical Production Systems Status-based Decision Devices Profile of Web Services

来源：评论

学校读者我要写书评

暂无评论

Fragmentation in MAC IEEE 802.15.4 to Improve Delay Performance in Wireless Body Area Network (WBAN)

引用

IOP Conference Series: Materials Science and Engineering 2019年第1期557卷

作者： Wan Aida Nadia Wan Abdullah Naimah Yaakob R. Badlishah Mohamed Elshaikh Elobaid Siti Asilah Yah I. Zunaidi ENAC School of Computer and Communication Engineering (SCCE) Universiti Malaysia Perlis (UniMAP) 02600 Arau Perlis Malaysia Faculty of Informatics and Computing Universiti Sultan Zainal Abidin (UniSZA) Kuala Terengganu Malaysia Faculty of Technology University of Sunderland St Peter's Campus Sunderland SR6 0DD United Kingdom

A Medium Access Control (MAC) protocol plays a significant role in enhancing the performances of Wireless Body Area Network (WBAN). This technology is commonly implemented IEEE 802.15.4 standard that works under CSMA/CA protocol. In addition, WBAN deals with probability of high traffic occurrence due to collection bulk of medical data that are generated from several bio-sensors through a continuous monitoring of patient's health. This phenomenon could result to congestion in the network which may lead to increment in delay and packet loss that could collapse the network. The increment in these two performances could lead to wrongly diagnosed of the diseases as well as late in medical help. Hence, the proposed mechanism aimed to reduce the delay through fragmenting the packets by decrementing the slot time in MAC 802.15.4 protocol under different number of number nodes with constant packet size and bit rate. The performances of the proposed mechanism are measured in terms of delay and packet loss by using OMNeT++ simulator tool. Based on the collected results, the proposed mechanism has shown a promising result in reducing the delay which means that it has improved the network performance of WBAN.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Unfolding the Mutual Relation Between Timeliness and Scalability in Cloud Monitoring

Unfolding the Mutual Relation Between Timeliness and Scalabi...

引用

IEEE Symposium on Computers and Communications

作者： Guilherme da Cunha Rodrigues Rodrigo N. Calheiros Glederson Lessa dos Santos Vinicius Tavares Guimaraes Lisandro Zambenedetti Granville Liane Tarouco Rajkumar Buyya Science and Technology Sul Rio-Grandense Federal Institute of Education Charqueadas Brazil School of Computing Engineering and Mathematics Western Sydney University Sydney Australia Computer Networks Group Institute of Informatics Federal University of Rio Grande do Sul Porto Alegre Brazil Cloud Computing and Distributed Systems (CLOUDS) Laboratory School of Computing and Information Systems The University of Melbourne Melbourne Australia

Cloud computing is a suitable solution for professionals, companies, and institutions that need to have access to computational resources on demand. Clouds rely on proper management to provide such computational resources with adequate quality of service, which is established by Service Level Agreements (SLAs), to customers. In this context, cloud monitoring is a critical function to achieve such proper management. Cloud monitoring systems have to accomplish requirements to perform its functions properly, and currently, there are plenty of requirements which includes: timeliness, adaptability, comprehensiveness, and scalability. However, such requirements usually have mutual influence, which is positive or negative, among them-selves, and it has prevented the development of complete cloud monitoring solutions. This paper presents a mathematical model to predict the mutual influence between timeliness and scalability, which is a step forward in cloud monitoring because it paves the way for the development of complete monitoring solutions. It complements our previous work that identified the monitoring parameters (e.g., frequency sampling, amount of monitoring data) that influence timeliness and scalability. Evaluations present the effectiveness of the mathematical model based on a comparison of the results provided by the mathematical model and the results obtained via simulation.

关键词： Monitoring Mathematical model Topology Scalability Cloud computing Network topology Time factors

来源：评论

学校读者我要写书评

暂无评论

Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

引用

Nature methods 2024年第10期21卷 1959页

作者： Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit

来源：评论

学校读者我要写书评

暂无评论

Quantum teleportation of photonic qudits using linear optics

引用

Physical Review A 2019年第3期100卷 032330-032330页

作者： Chenyu Zhang J. F. Chen Chaohan Cui Jonathan P. Dowling Z. Y. Ou Tim Byrnes State Key Laboratory of Precision Spectroscopy School of Physical and Material Sciences East China Normal University Shanghai 200062 China New York University Shanghai 1555 Century Ave Shanghai 200122 China Shenzhen Institute for Quantum Science and Engineering and Department of Physics Southern University of Science and Technology Shenzhen 518055 China College of Optical Sciences University of Arizona Tucson Arizona 85718 USA CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei 230026 China Synergetic Innovation Center of Quantum Information & Quantum Physics University of Science and Technology of China Hefei Anhui 230026 China Hearne Institute for Theoretical Physics Department of Physics and Astronomy Louisiana State University Baton Rouge Louisiana 70803 USA CAS-Alibaba Quantum Computing Laboratory USTC Shanghai 201315 China NYU-ECNU Institute of Physics at NYU Shanghai 3663 Zhongshan Road North Shanghai 200062 China National Institute of Information and Communications Technology 4-2-1 Nukui-Kitamachi Koganei Tokyo 184-8795 Japan Department of Physics Indiana University-Purdue University Indianapolis 402 North Blackford Street Indianapolis Indiana 46202 USA Quantum Institute of Light and Atoms Department of Physics East China Normal University Shanghai 200241 China National Institute of Informatics 2-1-2 Hitotsubashi Chiyoda-ku Tokyo 101-8430 Japan Department of Physics New York University New York New York 10003 USA

One of the challenges of photon-based quantum teleportation is that both a source of entangled photons and an entangled basis measurement are required. For qubits, one can perform a probabilistic entangled basis measurement using linear optics, making the scheme efficient. However, for photonic qudits, an equivalent scheme remains difficult to devise. In this paper, we generalize the probabilistic photonic qubit teleportation protocol to qudits. The method relies on producing permutation entangled states nondeterministically which are superpositions of permutations of the spatial and qudit states of the photons. Our scheme nondeterministically teleports a photonic qudit using only entangled photon sources, linear optics, and photon detectors, and should be experimentally realizable for small qudit dimensions.

关键词： Quantum optics Quantum teleportation

来源：评论

学校读者我要写书评

暂无评论

Theoretical foundations for evidence-based

Theoretical foundations for evidence-based

引用

Medical informatics Europe Conference, MIE 2016 at the Health - Exploring Complexity: An Interdisciplinary Systems Approach, HEC 2016

作者： Scott, Philip J. Georgiou, Andrew Hyppönen, Hannele Craven, Catherine K. Rigby, Michael Mcnair, Jytte Brender Centre for Healthcare Modelling and Informatics School of Computing Buckingham Building University of Portsmouth Lion Terrace HampshirePO1 3HE United Kingdom Centre for Health Systems and Safety Research Macquarie University New South Wales Australia National Institute for Health and Welfare Finland MU Informatics Institute University of Missouri United States School of Social Science and Public Policy Keele University United Kingdom Department of Health Science and Technology Aalborg University Denmark

A scientific approach to health informatics requires sound theoretical foundations. Health informatics implementation would be more effective if evidence-based and guided by theories about what is likely to work in what circumstances. We report on a Medinfo 2015 workshop on this topic jointly organized by the EFMI Working Group on Assessment of Health Information Systems and the IMIA Working Group on technology Assessment and Quality Development. We discuss the findings of the workshop and propose an approach to consolidate empirical knowledge into testable middle-range theories. ©2016 European Federation for Medical informatics (EFMI) and IOS Press.

关键词： Medical informatics

来源：评论

学校读者我要写书评

暂无评论

Ethical Considerations in Pervasive Health Research 10

Ethical Considerations in Pervasive Health Research

引用

10th EAI International Conference on Pervasive computing Technologies for Healthcare, PervasiveHealth 2016

作者： MacLeod, Haley Jacobs, Maia Siek, Katie Connelly, Kay Mynatt, Elizabeth D. School of Informatics and Computing Indiana University BloomingtonIN United States College of Computing Georgia Institute of Technology AtlantaGA United States

The pervasive health field has matured over the last few decades and the community has begun to converge on commonly accepted practices. In this work, we argue for a need to consider the ethical implications of the choices we make as researchers, particularly when working with vulnerable or sensitive populations. We outline a number of considerations that should be given more attention moving forward. We discuss these considerations as they have emerged from our work with people with rare diseases and with newly diagnosed breast cancer patients, both sensitive communities requiring a careful attention to ethics. We organize these ethical considerations around two main themes: the importance of involving participants in the research process and the need for flexible approaches to both research methods and the design of tools. We provide recommendations for researchers towards a successful, ethical future of pervasive health research. Copyright © 2016 EAI.

关键词： breast cancer community based research ethics patient advocates patient empowerment personalization Pervasive health privacy rare diseases research methods

来源：评论

学校读者我要写书评

暂无评论

Keyphrase Extraction Using Sequential Pattern Mining and Entropy

Keyphrase Extraction Using Sequential Pattern Mining and Ent...

引用

IEEE International Conference on Big Knowledge (ICBK)

作者： Qingren Wang Victor S. Sheng Chenyi Hu School of Computing and Informatics Hefei University of Technology Hefei P. R. China Department of Computer Science University of Central Arkansas Conway AR USA

ISBN: (纸本)9781538631218

This paper proposes an approach KeyRank to extract high quality keyphrases from a document in English. It firstly searches all keyphrase candidates from the document, and then ranks them for selecting top-N keyphrase candidates as final keyphrases. Based on a common sense that words do not repeatedly appear in an effective keyphrase in English, a novel keyphrase candidate search algorithm applying sequential pattern mining with gap constraints (called KCSP) is proposed to search keyphrase candidates for KeyRank. An effectiveness evaluation measure pattern frequency with entropy (called PF-H) is then proposed to rank these keyphrase candidates for KeyRank. Our experimental results show that KeyRank performs better than existing popular approaches do, such as TextRank and KeyEx. Besides, KCSP is much more efficient than a closely related approach SPMW, and PF-H can be applied to improve the performance of TextRank.

关键词： Semantics Frequency measurement Entropy Unsupervised learning Data mining Databases Supervised learning

来源：评论

学校读者我要写书评

暂无评论

Man-made Disaster Prevention using Waste Management Hierarchy and Disaster Management Cycle

引用

IOP Conference Series: Earth and Environmental Science 2020年第1期479卷 012004-012004页

作者： R Maskuriy A Selamat K N Ali P Maresova O Krejcar K Kuca S Mohd Malaysia-Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia (UTM) Kuala Lumpur Malaysia. Department of Architecture Faculty of Design and Architecture Universiti Putra Malaysia (UPM) Malaysia. Media and Games Center of Excellence (MagicX) Universiti Teknologi Malaysia Skudai 81310 Malaysia. School of Computing Faculty of Engineering Universiti Teknologi Malaysia (UTM) Skudai 81310 Malaysia Faculty of Informatics and Management University of Hradec Kralove Rokitanskeho 62 500 03 Hradec Kralove Czech Republic Department of Quantity Surveying Faculty of Built Environment and Surveying Universiti Teknologi Malaysia (UTM) Skudai 81310 Malaysia

The amount of construction waste generated is enormous due to the growth of the construction activities, which might lead to serious environmental problems. This is also including the construction waste that was generated from the natural disaster. This potential human-made disaster has been receiving worldwide attention and becomes a significant concern across nations. Thus, many studies on the effectiveness of construction waste management practices have been done. However, statistics do not show any improvement in the number of construction waste production. This paper aims to investigate the state of the art of construction waste management practice in Malaysia and the human-made disaster management strategies that feasible to be applied. Data were collected using the semi-structured interview with the key informants of the construction professional service providers in Malaysia and analyzed through thematic content analysis. An in-depth conceptualization and a new theoretical insight are developed on the strategy to prevent this human-made disaster caused by the construction waste. Findings from the cross-sectional content analysis and cognitive mapping propose a new human-made disaster management strategy in the construction caused by the construction waste that suits to Malaysian context.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Erratum to: Search for exclusive Higgs and Z boson decays to ϕγ and ργ with the ATLAS detector

引用

Journal of High Energy Physics 2023年第12期2023卷 1-21页

作者： Aaboud, M. Aad, G. Abbott, B. Abdinov, O. Abeloos, B. Abidi, S. H. AbouZeid, O. S. Abraham, N. L. Abramowicz, H. Abreu, H. Abreu, R. Abulaiti, Y. Acharya, B. S. Adachi, S. Adamczyk, L. Adelman, J. Adersberger, M. Adye, T. Affolder, A. A. Afik, Y. Agatonovic-Jovin, T. Agheorghiesei, C. Aguilar-Saavedra, J. A. Ahlen, S. P. Ahmadov, F. Aielli, G. Akatsuka, S. Akerstedt, H. Åkesson, T. P. A. Akilli, E. Akimov, A. V. Alberghi, G. L. Albert, J. Albicocco, P. Alconada Verzini, M. J. Alderweireldt, S. C. Aleksa, M. Aleksandrov, I. N. Alexa, C. Alexander, G. Alexopoulos, T. Alhroob, M. Ali, B. Aliev, M. Alimonti, G. Alison, J. Alkire, S. P. Allbrooke, B. M. M. Allen, B. W. Allport, P. P. Aloisio, A. Alonso, A. Alonso, F. Alpigiani, C. Alshehri, A. A. Alstaty, M. I. Alvarez Gonzalez, B. Álvarez Piqueras, D. Alviggi, M. G. Amadio, B. T. Amaral Coutinho, Y. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amoroso, S. Amundsen, G. Anastopoulos, C. Ancu, L. S. Andari, N. Andeen, T. Anders, C. F. Anders, J. K. Anderson, K. J. Andreazza, A. Andrei, V. Angelidakis, S. Angelozzi, I. Angerami, A. Anisenkov, A. V. Anjos, N. Annovi, A. Antel, C. Antonelli, M. Antonov, A. Antrim, D. J. Anulli, F. Aoki, M. Aperio Bella, L. Arabidze, G. Arai, Y. Araque, J. P. Araujo Ferraz, V. Arce, A. T. H. Ardell, R. E. Arduh, F. A. Arguin, J-F. Argyropoulos, S. Arik, M. Armbruster, A. J. Armitage, L. J. Arnaez, O. Arnold, H. Arratia, M. Arslan, O. Artamonov, A. Artoni, G. Artz, S. Asai, S. Asbah, N. Ashkenazi, A. Asquith, L. Assamagan, K. Astalos, R. Atkinson, M. Atlay, N. B. Augsten, K. Avolio, G. Axen, B. Ayoub, M. K. Azuelos, G. Baas, A. E. Baca, M. J. Bachacou, H. Bachas, K. Backes, M. Bagnaia, P. Bahmani, M. Bahrasemani, H. Baines, J. T. Bajic, M. Baker, O. K. Bakker, P. J. Baldin, E. M. Balek, P. Balli, F. Balunas, W. K. Banas, E. Bandyopadhyay, A. Banerjee, Sw. Bannoura, A. A. E. Barak, L. Barberio, E. L. Barberis, D. Barbero, M. Barillari, T. Barisits, M.-S. Barkeloo, J. T. Barklow, T. Barlow, N. Barnes, S. L. Barnett, B. M. Barnett, R. M. Barno Faculté des Sciences Université Mohamed Premier and LPTPM Oujda Morocco CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman United States of America Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Department of Physics University of Toronto Toronto Canada Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz United States of America Department of Physics and Astronomy University of Sussex Brighton United Kingdom 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 Center for High Energy Physics University of Oregon Eugene United States of America Department of Physics Stockholm University Stockholm Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King’s College London London United Kingdom International Center for Elementary Particle Physics and Department of Physics The University of Tokyo Tokyo Japan AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics Northern Illinois University DeKalb United States of America Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Institute of Physics University of Belgrade Belgrade Serbia Department of Physics Alexandru Ioan Cuza University of Iasi Iasi Romania Laboratório de Instrumentação e Física Experimental de Partículas – LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos Universidad de Granada Granada Portugal Department of Physics Boston University Boston United States of America Joi

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：