CIF21 DIBBs: T2-C2: Timely and Trusted Curator and Coordinator Data Building Blocks

CIF21 DIBB:T2-C2:及时且值得信赖的策展人和协调员数据构建块

基本信息

项目摘要

A 2008 National Academy report on Integrated Computational Materials Engineering noted that in a rapidly changing and increasingly competitive global market, integrated innovative design and rapid product development must be supported by computationally based designs, fast engineering analysis, and efficient data management tools. This project addresses the National Materials Review Board recommendations of reducing the cycle from the design of new materials to the fabrication of new devices using new materials. To address the materials-to-devices cycle challenge, the project focuses on the potential of capturing, curating, correlating and coordinating materials-to-devices digital data in a real-time and trusted manner before fully archiving and publishing the data for wide access and sharing. The software developed in this project is useful throughout the materials science and device fabrication fields, by automatically collecting, archiving, and providing collected information on all phases of materials and device fabrication development. The project develops the Timely and Trusted Curation and Coordination (T2-C2) Data Framework, consisting of two data blocks: 1) T2-C2 Curator, providing real-time acquisition and curation of digital data from selected materials-making / characterization and device-fabrication instruments in the collaborative research units at the university, the Material Research Lab (MRL) and the Micro-and-Nanotechnology Lab (MNTL) , and2) T2-C2 Coordinator, where collected data are filtered, correlations among data and dependency relations are identified, and the results are connected to other data processing capabilities. The goal of the T2-C2 framework is to enable reduction of the development time and cost of materials-making /characterization to device-making processes.Through open-source software licenses and training programs, the project impacts material science, device fabrication and other fields within the university, and other interdisciplinary research institutions and their materials design and manufacturing processes. Through courses, tutorials, workshops, and outreach, the project develops interdisciplinary scientists, teaches the next generation of students, and informs broader audiences about the potential of timely and trusted data collection, curation, spatio-temporal analytics, and correlations between material-making/characterization and device-fabrication processes.
2008 年美国国家科学院关于集成计算材料工程的报告指出,在快速变化且竞争日益激烈的全球市场中,集成创新设计和快速产品开发必须得到基于计算的设计、快速工程分析和高效数据管理工具的支持。 该项目满足国家材料审查委员会关于缩短从新材料设计到使用新材料制造新设备的周期的建议。为了应对材料到设备的循环挑战,该项目重点关注以实时和可信的方式捕获、整理、关联和协调材料到设备数字数据的潜力,然后再完全存档和发布数据以供广泛访问和分享。 该项目开发的软件通过自动收集、存档和提供有关材料和设备制造开发所有阶段的收集信息,在整个材料科学和设备制造领域都很有用。该项目开发了及时可信的管理和协调(T2-C2)数据框架,由两个数据块组成:1)T2-C2 Curator,提供来自选定材料制造/表征和设备的数字数据的实时采集和管理-大学合作研究单位、材料研究实验室 (MRL) 和微纳米技术实验室 (MNTL) 的制造仪器,以及 2) T2-C2 协调员,收集数据进行过滤,识别数据之间的相关性和依赖关系,并将结果连接到其他数据处理能力。 T2-C2 框架的目标是减少材料制造/表征到器件制造过程的开发时间和成本。通过开源软件许可和培训计划,该项目影响材料科学、器件制造和其他大学和其他跨学科研究机构的领域及其材料设计和制造工艺。通过课程、教程、研讨会和外展活动,该项目培养跨学科科学家,教授下一代学生,并让更广泛的受众了解及时和可信的数据收集、管理、时空分析以及材料制作之间的相关性的潜力。 /表征和器件制造工艺。

项目成果

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Klara Nahrstedt其他文献

Îáááç Ëìêêêåáaeae Çîîê Ìàà Èííäáá Áaeììêaeaeìì Åíäìáèää Ëëêáèìáçae Çççë Aeae Èìáîî Ìêêaeëèçêì Èêçìçççäë
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  • DOI:
  • 发表时间:
    1999
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Klara Nahrstedt
  • 通讯作者:
    Klara Nahrstedt
Challenges in Metaverse Research: An Internet of Things Perspective
元宇宙研究的挑战:物联网视角
SAVG360: Saliency-aware Viewport-guidance-enabled 360-video Streaming System
SAVG360:支持显着性视口引导的 360 度视频流系统
Performance of detection statistics under collusion attacks on independent multimedia fingerprints
独立多媒体指纹共谋攻击下的检测统计性能
  • DOI:
    10.1109/icme.2003.1220890
  • 发表时间:
    2003-07-06
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Thinh Nguyen;Puneet Mehra;A. Zakhor;Susie Wee;John G. Apostolopoulos;Wai;S. Roy;Jacob Chakareski;Eric Setton;Yi Liang;Bernd Girod;M. Fumagalli;Cefriel;Italy;P. Sagetong;Antonio Ortega;Amy Reibman;V. Vaishampayan;Rémi Ronfard;Tien Tran Thuong;France Inria;Xiaofei He;Adam Berenzweig;Daniel P W Ellis;Tong Zhang;M. Boutell;Yeow Kee Tan;N. Sherkat;Tony Allen;Y. Sawahata;Kiyoharu Aizawa;Timothy T H Chen;Sidney Fels;Sarah Saehee;Min;Xin Fan;China;Xing Xie;Wei;Hong;Björn Schuller;M. Zobl;G. Rigoll;Manfred Lang;Hsuan;Shrikanth S Narayanan;C.;Rongshan Yu;Xiao Lin;S. Rahardja;Simon Lucey;Tsuhan Chen;M. Reyes;Chih;Sau;Yongmin Li;Li;Geoff Morrison;Charles Nightingale;J. Morphett;Jun;John Zhang;Jagath Chen;Samarab;u;u;S. H. Srinivasan;M. Kankanhalli;Wei;Hasan Ates;Andy Chang;Oscar C. Au;Ming Yeung;Hong Kong;Gulcin Caner;Yu Hen Hu;Rajas A. Sambhare;N. Bellas;M. Dwyer;Tay;Chin;Tsung;Yu;Chien;Chen;Hung;C. Jen;Satoshi Nishiguchi;Kazuhide Higashi;Y. Kameda;Tsung;Wen;Chun;Hung;Tu;Yu;Ya;Liang;Jongmyon Kim;Scott Wills;Michelle Yan;J. Shaw;Shinsuke Kobayashi;Kentaro Mita;Yoshinori Takeuchi;Ioannis Andreou;N. Sgouros;Michael Lee;Surya Nepal;Uma Srinivasan;Csiro;Australia;Gees Stein;J. Rittscher;A. Hoogs;H. Nagano;K. Kashino;Hiroshi Murase;Ahmet Ekin;Amit Chakraborty;P. Liu;L. Hsu;Lijun Yin;Sergey Royt;Francis Quek;Yingen Xiong;Haitao Zheng;J. Taal;I. Haratcherev;K. Langendoen;T. Stockhammer;Jie Chen;S. Hsia;Trista Pei;Hong Zhao;Min Wu;Z. J. Wang;K. Liu;A. Giannoula;A. Tefas;N. Nikolaidis;I. Pitas;M. Fu;N. Cvejic;D. Tujkovic;T. Seppänen;Jonathan Foote;John Adcock;Andreas Girgensohn;S. Mallick;Mohan Trivedi;Inmaculada Rodríguez;Manuel Peinado;Cha Zhang;Yuzhong Shen;K. Barner;Yong;Jang;Dae;Jong;Wende Zhang;Thang Viet Nguyen;Ch;ra Patra;ra;Ee;Wei Wang;Aidong Zhang;S. Palanivel;B. Venkatesh;B. Yegnanarayana;Dong;Michael R. Lyu;D. Trossen;Hemant Chaskar;Shengjie Zhao;Zixiang Xiong;A. Bhatkar;R. Ch;ramouli;ramouli;Wen Xu;S. Hemami;Wanghong Yuan;Klara Nahrstedt;Jiancong Chen;S.;Jieh Hsiang;Wen;Bee;Hsieh;J. Assfalg;A. Bimbo;P. Pala;Xiangdong Zhou;Qi Zhang;Jun Gao;G. Tzanetakis;P. Steenkiste;Lei Zhang;Yu;Xin Huang;Shu;Minghong Pi;Mrinal M;al;al;Anup Basu;G. Iyengar;H. Nock;C. Neti;Min Xu;Ling;Chang Xu;Qi Tian;Ching;Shao;Yi;Yu;A. Pinho;Antonio Neves;Nejat Kamaci;Y. Altunbasak;Xiaodong Gu;Microsoft Research;Asia;Yung;Ming;Yu;Martin Boliek;Kok Wu;Shou;Liang Zhang;Yuhua Ding;G. Vachtsevanos;Anthony Yezzi;Wayne Daley;Bonnie Heck;Chuo;P. Ramanathan;Xiaoqing Zhu;Christian Ritz;Ian Burnett;J. Lukasiak;H. Zarrinkoub;Om Deshmukh;Carol Y. Espy;K. S. Rao;Arun Kumar;Xiaodong He;Dong Wang;J. Pinquier;Jean;R. André;France Top;Mohammed Chalil;Sreekumar K P;Manoj Sankar;A. Raouzaiou;K. Karpouzis;S. Kollias;Ghassan Al;Magy Seif El;I. Horswill;Son Tran;Raghavendra Singh;Ravi Kothari;M. Naphade;States Apostol;Paul Natsev;Belle L. Tseng;John R Smith;Shinsuke Nakajima;Apostol;W. Kumwilaisak;Research Asia;Bo Shen;Sheau;Chun;Rajeev Kumar;Nam Pham;Ngoc;K. Leuven;Belgium;G. Lafruit;J. Mignolet;S. Vernalde;G. Deconinck;Rudy Lauwereins;Belgium Top;Pun;Tien;Amit Kale;Roy Chowdhury;Sarah John
  • 通讯作者:
    Sarah John
GreenHDFS : A Cyber-Physical , Data-Centric Cooling Energy Costs Reduction Approach for Big Data Analytics Cloud
GreenHDFS:一种用于大数据分析云的网络物理、以数据为中心的冷却能源成本降低方法
  • DOI:
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Rini T. Kaushik;Tarek F. Abdelzaher;Klara Nahrstedt
  • 通讯作者:
    Klara Nahrstedt

Klara Nahrstedt的其他文献

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{{ truncateString('Klara Nahrstedt', 18)}}的其他基金

Collaborative Research: Conference: NSF Workshop Sustainable Computing for Sustainability
协作研究:会议:NSF 可持续计算可持续发展研讨会
  • 批准号:
    2334854
  • 财政年份:
    2023
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
CC* Integration-Large: MAINTLET: Advanced Sensory Network Cyber-Infrastructure for Smart Maintenance in Campus Scientific Laboratories
CC* 大型集成:MAINTLET:用于校园科学实验室智能维护的先进传感网络网络基础设施
  • 批准号:
    2126246
  • 财政年份:
    2021
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Medium: miVirtualSeat: Semantics-aware Content Distribution for Immersive Meeting Environments
协作研究:CNS 核心:媒介:miVirtualSeat:用于沉浸式会议环境的语义感知内容分发
  • 批准号:
    2106592
  • 财政年份:
    2021
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
EAGER: Collaborative Research: Augmented 360 Video for Situation Awareness in Firefighting
EAGER:协作研究:用于消防态势感知的增强型 360 度视频
  • 批准号:
    2140645
  • 财政年份:
    2021
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
CNS Core: Medium: Collaborative Research: Scalable Dissemination and Navigation of Video 360 Content for Personalized Viewing
CNS 核心:媒介:协作研究:视频 360 内容的可扩展传播和导航以实现个性化观看
  • 批准号:
    1900875
  • 财政年份:
    2019
  • 资助金额:
    $ 150万
  • 项目类别:
    Continuing Grant
CC* Integration: SENSELET: Sensory Network Infrastructure for Scientific Laboratory Environments
CC* 集成:SENSELET:科学实验室环境的传感网络基础设施
  • 批准号:
    1827126
  • 财政年份:
    2018
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
AiTF: Collaborative Research: Algorithms for Smartphone Peer-to-Peer Networks
AiTF:协作研究:智能手机点对点网络算法
  • 批准号:
    1733872
  • 财政年份:
    2017
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
CC*Integration: BRACELET: Robust Cloudlet Infrastructure for Scientific Instruments' Lifetime Connectivity
CC*Integration:BRACELET:用于科学仪器终身连接的强大 Cloudlet 基础设施
  • 批准号:
    1659293
  • 财政年份:
    2017
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
Security for Cloud Computing - NSF Workshop
云计算安全 - NSF 研讨会
  • 批准号:
    1213373
  • 财政年份:
    2012
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
NetSE: Large: Collaborative Research: Exploiting Multi-Modality for Tele-Immersion
NetSE:大型:协作研究:利用多模态实现远程沉浸
  • 批准号:
    1012194
  • 财政年份:
    2010
  • 资助金额:
    $ 150万
  • 项目类别:
    Continuing Grant

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基于单体碳-溴二维稳定同位素分析的沉积物中多溴联苯醚和六溴环十二烷转化机制研究
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模拟水泥窑热工制度下溴代二恶英的生成规律
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  • 批准号:
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多溴联苯醚及其羟基衍生物降解形成溴代二噁英的机理研究
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    2013
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    80.0 万元
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相似海外基金

CIF21 DIBBs: EI: Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data Intensive Science
CIF21 DIBB:EI:虚拟数据协作:协作数据密集型科学的区域网络基础设施
  • 批准号:
    2220826
  • 财政年份:
    2021
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
CIF21 DIBBs: PD: Cyberinfrastructure Tools for Precision Agriculture in the 21st Century
CIF21 DIBB:PD:21 世纪精准农业的网络基础设施工具
  • 批准号:
    1854312
  • 财政年份:
    2018
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    $ 150万
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CIF21 DIBBs: PD: Building High-Availability Data Capabilities in Data-Centric Cyberinfrastructure
CIF21 DIBB:PD:在以数据为中心的网络基础设施中构建高可用性数据功能
  • 批准号:
    1724845
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    2017
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    $ 150万
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CIF21 DIBBs: EI: Vizier, Streamlined Data Curation
CIF21 DIBB:EI:Vizier,简化的数据管理
  • 批准号:
    1640864
  • 财政年份:
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  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
CIF21 DIBBs: PD: Enhancing and Personalizing Educational Resources through Tools for Experimentation
CIF21 DIBB:PD:通过实验工具增强和个性化教育资源
  • 批准号:
    1724889
  • 财政年份:
    2017
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
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