A Study of Architectural Models for Cyber-Physical Systems
信息物理系统架构模型研究
基本信息
- 批准号:0824404
- 负责人:
- 金额:$ 20万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-06-01 至 2009-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The focus of this project is on cyber-physical systems (CPS) -- physical and engineered systems whose operations are integrated, monitored, and controlled by a computational core. Applications of CPS include, for example, critical (physical) infrastructure control (electric power, water resources, gas and fuel distribution, transportation, etc.), highly dependable medical devices and systems, traffic control and safety, advanced automotive systems, process control, and manufacturing, energy conservation and environmental control, avionics, distributed robotics (tele-presence, tele-medicine), and manufacturing.Traditional frameworks for designing and configuring computing and networking systems do not capture the complexity of CPS systems -- principally because many of the abstractions developed for computing and networking deliberately abstract away essential properties of the physical world. Existing real-time operating systems (mix of operating systems, middleware, and general-purpose virtual machines) are not sufficient to support the complexity challenges of emerging classes of cyber-physical systems because of the mismatch between traditional computation abstractions and properties of physical processes. Some current technical approaches partially bridge the abstraction gap (such as real-time operating systems, middleware technologies, specialized embedded processor architectures, and specialized networks). However, current research and development of cyber-physical systems calls for non-incremental, revolutionary approaches, where new abstractions are built from the ground up. These abstractions must enable reasoning at every level for high-confidence system composition and addresses issues such as time-criticality, safety, and security.In response to the need for a CPS framework, this SGER project will investigate architectural models with the goal of helping the research community to develop a cyber-physical system vision that integrates both computer science (real-time systems; embedded systems; software and system verification, validation, and certification; computing technologies; wireless and wired networking; sensor nets) and the traditional physical sciences and engineering disciplines (control, physical sensors and actuators, physical system design and engineering, materials, even biology and nanotechnology). Such models are likely to provide a platform for future cyber-physical systems design that brings these interacting elements into a single focus.This project will also sponsor several meetings (workshops, symposia, summit, etc) that aim at providing a forum for engineers and scientists in academia, industry and government to present their latest research findings in any aspects of cyber-physical systems, and, consequently, allow the community to define and enhance the research agenda for this important emerging field. The primary intellectual merit of the proposal resides in analyzing existing cyber-physical systems and developing abstracted architecture models that will enable future cyber-physical systems design and realization. The broader impact of the proposed work is on the research community at-large, through the project focus on issues related to cyber-physical systems. The advancement achieved through this Cyber-physical system research is expected to improve the research and development capabilities in the nation and contribute to increased global competitiveness.
该项目的重点是网络物理系统(CPS)——其操作由计算核心集成、监控和控制的物理和工程系统。 CPS 的应用包括,例如,关键(物理)基础设施控制(电力、水资源、天然气和燃料分配、运输等)、高度可靠的医疗设备和系统、交通控制和安全、先进的汽车系统、过程控制和制造、节能和环境控制、航空电子设备、分布式机器人技术(远程呈现、远程医疗)和制造。用于设计和配置计算和网络系统的传统框架无法捕捉 CPS 系统的复杂性——主要是因为许多的为计算和网络开发的抽象有意抽象出物理世界的基本属性。由于传统计算抽象与物理过程属性之间的不匹配,现有实时操作系统(操作系统、中间件和通用虚拟机的混合)不足以支持新兴网络物理系统类别的复杂性挑战。当前的一些技术方法部分地弥补了抽象差距(例如实时操作系统、中间件技术、专用嵌入式处理器架构和专用网络)。然而,当前网络物理系统的研究和开发需要非增量的革命性方法,即从头开始构建新的抽象。这些抽象必须能够在各个级别上进行推理,以实现高可信度的系统组成,并解决时间关键性、安全性和安全性等问题。为了满足对 CPS 框架的需求,该 SGER 项目将研究架构模型,旨在帮助研究界开发一种网络物理系统愿景,将计算机科学(实时系统;嵌入式系统;软件和系统验证、确认和认证;计算技术;无线和有线网络;传感器网络)与传统物理科学相结合科学与工程学科(控制、物理传感器和执行器、物理系统设计和工程、材料,甚至生物学和纳米技术)。这些模型很可能为未来的网络物理系统设计提供一个平台,将这些相互作用的元素集中到一个焦点上。该项目还将赞助多次会议(研讨会、专题讨论会、峰会等),旨在为工程师和工程师提供一个论坛。学术界、工业界和政府的科学家展示他们在网络物理系统各个方面的最新研究成果,从而使社区能够定义和加强这一重要新兴领域的研究议程。该提案的主要智力价值在于分析现有的网络物理系统并开发抽象架构模型,以实现未来网络物理系统的设计和实现。通过该项目重点关注与网络物理系统相关的问题,拟议工作对整个研究界产生了更广泛的影响。通过网络物理系统研究取得的进步预计将提高国家的研发能力,并有助于提高全球竞争力。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Wei Zhao其他文献
Improved interpolated dynamic DFT synchrophasor estimator considering second harmonic interferences
考虑二次谐波干扰的改进插值动态DFT同步相量估计器
- DOI:
10.1109/i2mtc.2018.8409744 - 发表时间:
2018-07-12 - 期刊:
- 影响因子:0
- 作者:
Lei Chen;Wei Zhao;Yiqing Yu;Qing Wang;Songling Huang - 通讯作者:
Songling Huang
Recombinant ferritin protects mice against challenge with Echinococcus granulosus ?
重组铁蛋白可以保护小鼠免受细粒棘球绦虫的攻击?
- DOI:
10.2478/s11686-009-0050-2 - 发表时间:
2009-10-01 - 期刊:
- 影响因子:1.5
- 作者:
Yana Wang;Zong;Zhaoyu Li;Yang Bo;Wei Zhao - 通讯作者:
Wei Zhao
Discrimination of thermostable and thermophilic lipases using support vector machines.
使用支持向量机区分耐热和耐热脂肪酶。
- DOI:
10.2174/092986611795446094 - 发表时间:
2011-06-30 - 期刊:
- 影响因子:1.6
- 作者:
Wei Zhao;Xunzhang Wang;R. Deng;Jinwen Wang;Hong - 通讯作者:
Hong
A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids.
多层功能基因组分析,用于了解脂质中的非编码遗传变异。
- DOI:
10.1016/j.ajhg.2022.06.012 - 发表时间:
2022-08-04 - 期刊:
- 影响因子:9.8
- 作者:
S. Ramdas;Jonathan Judd;S. Graham;S. Kanoni;Yuxuan Wang;I. Surakka;Br;on M. Wenz;on;S. Clarke;A. Chesi;A. Wells;K. F. Bhatti;S. Vedantam;T. Winkler;A. Locke;E. Marouli;G. Zajac;Kuan;I. Ntalla;Q. Hui;D. Klarin;A. Hilliard;Zeyuan Wang;C. Xue;G. Thorleifsson;A. Helgadóttir;D. Gudbjartsson;H. Hólm;I. Olafsson;M. Y. Hwang;Sohee Han;M. Akiyama;S. Sakaue;C. Terao;M. Kanai;Wei Zhou;B. Brumpton;H. Rasheed;A. Havulinna;Y. Veturi;J. Pacheco;E. Rosenthal;T. Lingren;Q. Feng;I. Kullo;A. Narita;J. Takayama;H. Martin;K. Hunt;B. Trivedi;J. Haessler;Franco Giulianini;Y. Bradford;Jason E. Miller;A. Campbell;Kuang Lin;I. Millwood;A. Rasheed;G. Hindy;J. Faul;Wei Zhao;D. Weir;Constance Turman;Hongyan Huang;M. Graff;A. Choudhury;Dhriti Sengupta;A. Mahajan;Michael R. Brown;Weihua Zhang;Ketian Yu;Ellen M. Schmidt;Anita P;it;it;S. Gustafsson;X. Yin;J. Luan;Jinghua Zhao;F. Matsuda;Hye;Kyungheon Yoon;C. Medina;A. Pitsillides;J. Hottenga;A. Wood;Yingjie Ji;Zishan Gao;S. Haworth;R. Mitchell;Jin;M. Aadahl;A. Bjerregaard;J. Yao;A. Manichaikul;Wen;A. Chao;H. Warren;J. Ramírez;J. Bork;L. Kårhus;A. Goel;M. Sabater;R. Noordam;Pala Mauro;F. Matteo;Aaron F. McDaid;P. Marques;M. Wielscher;S. Trompet;N. Sattar;L. T. Møllehave;M. Munz;Lingyao Zeng;Jianfeng Huang;Bin Yang;A. Poveda;A. Kurbasic;S. Schönherr;L. Forer;M. Scholz;T. Galesloot;J. Bradfield;S. Ruotsalainen;E. W. Daw;J. Zmuda;J. Mitchell;C. Fuchsberger;Henry Christensen;Jennifer A. Brody;P. Le;M. Feitosa;M. Wojczynski;Daiane Hemerich;Michael H. Preuss;M. Mangino;P. Christofidou;N. Verweij;J. Benjamins;J. Engmann;Tsao L. Noah;A. Verma;R. Slieker;K. S. Lo;Nuno R Zilhao;M. Kleber;G. Delgado;Shaofeng Huo;Daisuke D Ikeda;H. Iha;Jian Yang;Jun Liu;A. Demirkan;H. Leonard;J. Marten;C. Emmel;B. Schmidt;L. Smyth;M. Cañadas;Chaolong Wang;M. Nakatochi;A. Wong;N. Hutri;X. Sim;Rui Xia;Alicia Huerta;J. Fernández;V. Lyssenko;Suraj S Nongmaithem;Alagu Sankareswaran;M. Irvin;C. Oldmeadow;Han;S. Ryu;P. Timmers;L. Arbeeva;R. Dorajoo;L. Lange;Gauri Prasad;L. Lorés;Marc Pauper;J. Long;Xiaohui Li;E. Theusch;F. Takeuchi;Cass;ra N. Spracklen;ra;A. Loukola;S. Bollepalli;S. Warner;Y. X. Wang;W. Wei;T. Nutile;D. Ruggiero;Y. Sung;Shufeng Chen;Fangchao Liu;Jingyun Yang;K. Kentistou;B. Banas;A. Morgan;K. Meidtner;L. Bielak;Jennifer A. Smith;Prashantha Hebbar;Aliki;E. Hofer;Maoxuan Lin;M. P. Concas;S. Vaccargiu;Peter J. van der Most;N. Pitkänen;B. Cade;S. W. van der Laan;K. Chitrala;S. Weiss;A. Bentley;A. Doumatey;A. Adeyemo;Jong Young Lee;Eva R. B. Petersen;A. A. Nielsen;Hyeok Sun Choi;M. Neth;er;er;S. Freitag;L. Southam;N. W. Rayner;Carol A. Wang;Shih;Jun;C. Couture;L. Lyytikäinen;K. Nikus;G. Cuéllar;H. Vestergaard;Bertha A Hidalgo;O. Giannakopoulou;Q. Cai;M. Obura;J. van Setten;K. He;Hua Tang;N. Terzikhan;Jaehang Shin;R. Jackson;A. Reiner;L. Martin;Zhengming Chen;Liming Li;T. Kawaguchi;J. Thiery;J. Bis;L. Launer;Huaixing Li;M. Nalls;O. Raitakari;S. Ichihara;S. Wild;C. Nelson;H. Campbell;S. Jäger;T. Nabika;F. Al;H. Niinikoski;P. Braund;I. Kolčić;P. Kovacs;Tota Giardoglou;T. Katsuya;D. D. de Kleijn;G. D. de Borst;E. Kim;H. Adams;M. A. Ikram;Xiaofeng Zhu;F. Asselbergs;A. Kraaijeveld;J. Beulens;X. Shu;L. Rallidis;O. Pedersen;T. Hansen;P. Mitchell;A. Hewitt;M. Kähönen;L. Pérusse;C. Bouchard;A. Tönjes;Y. Chen;C. Pennell;Trevor A. Mori;W. Lieb;A. Franke;C. Ohlsson;D. Mellström;Y. Cho;Hyejin Lee;Jiangwei Yuan;W. Koh;S. Rhee;Jeongtaek Woo;I. Heid;K. Stark;M. Zimmermann;H. Völzke;G. Homuth;M. Evans;A. Zonderman;O. Polašek;G. Pasterkamp;I. Hoefer;S. Redline;K. Pahkala;A. Oldehinkel;H. Snieder;G. Biino;R. Schmidt;H. Schmidt;S. B;inelli;inelli;G. Dedoussis;T. Thanaraj;P. Peyser;N. Kato;M. Schulze;G. Girotto;C. Böger;B. Jung;P. Joshi;D. Bennett;P. D. De Jager;Xiangfeng Lu;Vasiliki Mamakou;Morris J. Brown;M. Caulfield;P. Munroe;Xiuqing Guo;M. Ciullo;J. Jonas;N. Samani;J. Kaprio;P. Pajukanta;Teresa Tusié;C. Aguilar;L. Adair;Sonny A Bechayda;H. J. de Silva;A. R. Wickremasinghe;R. Krauss;Jer;W. Zheng;A. D. den Holl;er;er;D. Bharadwaj;A. Correa;James G. Wilson;L. Lind;C. Heng;A. Nelson;Y. Golightly;James F. Wilson;B. Penninx;Hyung;J. Attia;Rodney J. Scott;D. Rao;D. Arnett;M. Walker;L. Scott;H. Koistinen;G. Ch;ak;ak;J. Mercader;Teresa Tusié;C. Aguilar;Clicerio González Villalp;o;o;L. Orozco;M. Fornage;E. Tai;R. V. van Dam;T. Lehtimäki;N. Chaturvedi;M. Yokota;J. Liu;Dermot F. Reilly;A. McKnight;F. Kee;K. Jöckel;M. McCarthy;C. Palmer;V. Vitart;C. Hayward;E. Simonsick;C. V. van Duijn;Zidan Jin;Fan Lu;H. Hishigaki;Xu Lin;W. März;V. Gudnason;J. Tardif;G. Lettre;L. T. ’t Hart;P. Elders;D. Rader;S. Damrauer;M. Kumari;M. Kivimaki;P. van der Harst;T. Spector;R. Loos;M. Province;E. Parra;M. Cruz;B. Psaty;I. Br;slund;slund;P. Pramstaller;C. Rotimi;K. Christensen;S. Ripatti;E. Widén;H. Hakonarson;S. Grant;L. Kiemeney;J. de Graaf;M. Loeffler;F. Kronenberg;D. Gu;J. Erdmann;H. Schunkert;P. Franks;A. Linneberg;J. Jukema;A. Khera;M. Männikkö;M. Jarvelin;Z. Kutalik;Cucca Francesco;D. Mook;K. W. van Dijk;H. Watkins;D. Strachan;N. Grarup;P. Sever;N. Poulter;W. Sheu;J. Rotter;T. Dantoft;F. Karpe;M. Neville;N. Timpson;Ching;T. Wong;C. Khor;Hengtong Li;C. Sabanayagam;A. Peters;C. Gieger;A. Hattersley;N. Pedersen;P. Magnusson;D. Boomsma;E. D. de Geus;L. Cupples;J. V. van Meurs;A. Ikram;M. Ghanbari;P. Gordon;Wei Huang;Y. J. Kim;Y. Tabara;N. Wareham;C. Langenberg;E. Zeggini;J. Tuomilehto;J. Kuusisto;M. Laakso;E. Ingelsson;G. Abecasis;J. Chambers;J. Kooner;P. D. de Vries;A. Morrison;S. Hazelhurst;Michéle Ramsay;K. North;M. Daviglus;P. Kraft;N. Martin;J. Whitfield;S. Abbas;D. Saleheen;R. Walters;M. Holmes;Corri Black;Blair H. Smith;A. Baras;A. Justice;J. Buring;P. Ridker;D. Chasman;C. Kooperberg;G. Tamiya;Masayuki Yamamoto;D. V. van Heel;R. Trembath;Wei;G. Jarvik;B. Namjou;M. Hayes;M. Ritchie;P. Jousilahti;V. Salomaa;K. Hveem;B. Åsvold;M. Kubo;Y. Kamatani;Y. Okada;Y. Murakami;Bong;U. Thorsteinsdóttir;K. Stefánsson;Jifeng Zhang;Y. E. Chen;Y. Ho;J. Lynch;Daniel Rader;P. Tsao;Kyong‐Mi Chang;Kelly Cho;C. O’Donnell;J. Gaziano;Peter Wilson;K. Mohlke;T. Frayling;J. Hirschhorn;S. Kathiresan;M. Boehnke;S. Grant;P. Natarajan;Yan V. Sun;A. Morris;P. Deloukas;G. Peloso;T. Assimes;C. Willer;Xiang Zhu;Christopher D. Brown - 通讯作者:
Christopher D. Brown
Mutation on Gly115 and Tyr205 of the cyclic dipeptide C2-prenyltransferase FtmPT1 increases its catalytic activity toward hydroxynaphthalenes
环状二肽C2-异戊二烯基转移酶FtmPT1的Gly115和Tyr205突变增加了其对羟基萘的催化活性
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:5
- 作者:
Wei Zhao;Aili Fan;Sylwia Tarcz;K. Zhou;W. Yin;Xiaoqing Liu;Shu‐Ming Li - 通讯作者:
Shu‐Ming Li
Wei Zhao的其他文献
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{{ truncateString('Wei Zhao', 18)}}的其他基金
ITR/NGS: Collaborative Research: DDDAS: Data Dynamic Simulation for Disaster Management
ITR/NGS:合作研究:DDDAS:灾害管理数据动态模拟
- 批准号:
0963973 - 财政年份:2009
- 资助金额:
$ 20万 - 项目类别:
Continuing Grant
A Study of Architectural Models for Cyber-Physical Systems
信息物理系统架构模型研究
- 批准号:
0963979 - 财政年份:2009
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Insightful Understanding of China's Science Education and Research
对中国科学教育与研究的深刻认识
- 批准号:
0963985 - 财政年份:2009
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Insightful Understanding of China's Science Education and Research
对中国科学教育与研究的深刻认识
- 批准号:
0829548 - 财政年份:2008
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
ITR/NGS: Collaborative Research: DDDAS: Data Dynamic Simulation for Disaster Management
ITR/NGS:合作研究:DDDAS:灾害管理数据动态模拟
- 批准号:
0808419 - 财政年份:2007
- 资助金额:
$ 20万 - 项目类别:
Continuing Grant
A Symposium on Cyber-Enabled Discoveries and Innovations
网络驱动的发现和创新研讨会
- 批准号:
0734828 - 财政年份:2007
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Collaborative Research: Visualization: Overlay Network Support for Remote Visualization of Time-Varying Data
协作研究:可视化:覆盖网络支持时变数据的远程可视化
- 批准号:
0808417 - 财政年份:2007
- 资助金额:
$ 20万 - 项目类别:
Continuing Grant
Collaborative Research: WN: Proper Location Identification in Wireless Networks
合作研究:WN:无线网络中的正确位置识别
- 批准号:
0721569 - 财政年份:2007
- 资助金额:
$ 20万 - 项目类别:
Continuing Grant
ITR/NGS: Collaborative Research: DDDAS: Data Dynamic Simulation for Disaster Management
ITR/NGS:合作研究:DDDAS:灾害管理数据动态模拟
- 批准号:
0324988 - 财政年份:2003
- 资助金额:
$ 20万 - 项目类别:
Continuing Grant
Collaborative Research: Visualization: Overlay Network Support for Remote Visualization of Time-Varying Data
协作研究:可视化:覆盖网络支持时变数据的远程可视化
- 批准号:
0329181 - 财政年份:2003
- 资助金额:
$ 20万 - 项目类别:
Continuing Grant
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8491602 - 财政年份:2013
- 资助金额:
$ 20万 - 项目类别:
Architectural Design of the Pelvic Floor Skeletal Muscles
盆底骨骼肌的结构设计
- 批准号:
8689130 - 财政年份:2013
- 资助金额:
$ 20万 - 项目类别:
A Study of Architectural Models for Cyber-Physical Systems
信息物理系统架构模型研究
- 批准号:
0963979 - 财政年份:2009
- 资助金额:
$ 20万 - 项目类别:
Standard Grant