RAPID: Supporting Family Reunification for the Haiti Earthquake and Future Emergencies
RAPID:支持海地地震和未来紧急情况下的家庭团聚
基本信息
- 批准号:1030002
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-07-01 至 2012-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The PI's team is working on a website for family reunification for the Haiti earthquake. In addition to crawling and scraping data from Web pages for the repository at http://haiticrisis.appspot.com/ coordinated by Google and many other volunteers, the team has built a powerful search interface on the data. During this effort, the team has identified several interesting research challenges to be studied in this project in order to make the system more scalable. The intellectual merits of this project include the support of powerful keyword search with efficient indexing structures and algorithms in a clouding-computing infrastructure that is increasingly popular for supporting large scale applications. The main challenge is how to use limited programming primitives in the cloud to implement index structures and search algorithms.The techniques developed in this project will have a broad impact on many information systems that are moving to the cloud-computing paradigm. The adoption of the techniques in the family-reunification domain will have a significant impact in our society by helping people find their loved ones in a disaster. The PI's team will use the Google Person Finder project as a real application to test the techniques in the Haiti earthquake. The team plans to provide the techniques and source code in future releases so that the techniques can be used in family reunification during future disasters.For further information see the project web site at the URL: http://fr.ics.uci.edu/haiti/
PI的团队正在为海地地震的家庭团聚建立一个网站。除了从由Google和许多其他志愿者协调的http://haiticrisis.appspot.com/存储库的网页中抓取和抓取数据外,该团队还在数据上构建了一个强大的搜索界面。在此过程中,该团队确定了该项目中要研究的几个有趣的研究挑战,以使系统更具可扩展性。该项目的智力优势包括在云计算基础设施中支持强大的关键字搜索,以及高效的索引结构和算法,这些基础设施越来越受欢迎,以支持大规模应用程序。主要的挑战是如何在云中使用有限的编程原语来实现索引结构和搜索算法。该项目中开发的技术将对许多正在向云计算范式转移的信息系统产生广泛的影响。在家庭团聚领域采用这些技术将对我们的社会产生重大影响,帮助人们在灾难中找到他们的亲人。PI的团队将使用谷歌的人际关系项目作为一个真实的应用程序来测试海地地震中的技术。该团队计划在未来的版本中提供这些技术和源代码,以便这些技术可以在未来的灾难中用于家庭团聚。有关详细信息,请参阅项目网站,网址为:http://fr.ics.uci.edu/haiti/
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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Chen Li其他文献
Robot needle-punching for manufacturing composite preforms
用于制造复合材料预成型件的机器人针刺
- DOI:
10.1016/j.rcim.2017.09.008 - 发表时间:
2018-04 - 期刊:
- 影响因子:10.4
- 作者:
Chen Xiaoming;Zhao Yufen;Zhang Chunyan;Wang Xiaoxu;Chen Li - 通讯作者:
Chen Li
A novel grey seasonal model based on cycle accumulation generation for forecasting energy consumption in China
基于循环累积生成的新型中国能源消费灰色季节模型
- DOI:
10.1016/j.cie.2021.107725 - 发表时间:
2021-10 - 期刊:
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- 作者:
Zhou Weijie;Pan Jiao;Tao Huihui;Ding Song;Chen Li;Zhao Xiaoke - 通讯作者:
Zhao Xiaoke
Insight-HXMT Observations of Swift J0243.6 6124 during Its 2017-2018 Outburst
Insight-HXMT 对 Swift J0243.6 6124 2017-2018 年爆发期间的观测
- DOI:
10.3847/1538-4357/ab22b1 - 发表时间:
2019 - 期刊:
- 影响因子:4.9
- 作者:
Zhang Yue;Ge MinYu;Song LiMing;Zhang ShuangNan;Qu JinLu;Zhang Shu;Doroshenko Victor;Tao Lian;Ji Long;Gungor Can;Santangelo Andrea;Shi ChangSheng;Chang Zhi;Chen Gang;Chen Li;Chen TianXiang;Chen Yong;Chen YiBao;Cui Wei;Cui WeiWei;Deng JingKang;Dong YongWei - 通讯作者:
Dong YongWei
Expression,Modulation and adhesive function of a novel inducible adhesion molecule PTA1 on human endothelial cells
- DOI:
- 发表时间:
2000 - 期刊:
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Chen Li - 通讯作者:
Chen Li
Retrospective clinical analysis of risk factors associated with failed short implants.
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- DOI:
10.1111/clr.233_13509 - 发表时间:
2019-09 - 期刊:
- 影响因子:0
- 作者:
Chen Li;Yang Tao;Yang Guangwen;Zhou Na;Dong Heng;Mou Yongbin - 通讯作者:
Mou Yongbin
Chen Li的其他文献
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{{ truncateString('Chen Li', 18)}}的其他基金
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Continuing Grant
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2209795 - 财政年份:2022
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ISS: Transient Behavior of Flow Condensation and Its Impacts on Condensation Rate
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2224438 - 财政年份:2022
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ISS: Understanding the Gravity Effect on Flow Boiling Through High-Resolution Experiments and Machine Learning
ISS:通过高分辨率实验和机器学习了解重力对流动沸腾的影响
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III: Medium: Collaborative Research: Collaborative Machine-Learning-Centric Data Analytics at Scale
III:媒介:协作研究:以机器学习为中心的大规模协作数据分析
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2107150 - 财政年份:2021
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Continuing Grant
CAREER: Anisotropic Suppression of Lattice Thermal Conductivity through the Interaction between Phonons and Thermal Magnetic Excitations
职业:通过声子和热磁激发之间的相互作用对晶格热导率进行各向异性抑制
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1750786 - 财政年份:2018
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$ 5万 - 项目类别:
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EAGER: Supporting GUI-Based Text Analytics on Social Media Data by Non-Technical Users
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