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SCC-Planning: Promoting Smart Technologies in Public Safety and Transportation to Improve Social and Economic Outcomes in a US EDA-Designated Critical Manufacturing Region

SCC-Planning: Promoting Smart Technologies in Public Safety and Transportation to Improve Social and Economic Outcomes in a US EDA-Designated Critical Manufacturing Region
SCC-规划:在公共安全和交通领域推广智能技术,以改善美国 EDA 指定关键制造区域的社会和经济成果
批准号:
1737557
负责人:
Seung-Jong Park
金额:
$9.99万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2019-08-31

项目摘要

项目成果

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中文摘要
翻译
美国经济发展署最近通过其制造业社区投资伙伴关系(IMCP)计划,将以巴吞鲁日(BR)为中心的整个南路易斯安那州东西200英里的跨度命名为国家战略制造业地区之一。这条“化学走廊”是价值数十亿美元的数百个化学制造设施和炼油厂的所在地。尽管该地区具有重要的经济意义,但BR地区仍面临着严重的问题,包括:(1)严重的交通问题;(2)高犯罪率。严重的交通拥堵是不列颠哥伦比亚省制造业不愿在该地区建立新工厂和雇佣更多人的主要原因之一,也是使该地区对美国其他地区的新投资缺乏吸引力的一个关键因素。暴力犯罪率大大高于类似规模的地区,进一步影响了这一重要地区的经济发展。S与CC规划方案的目标是在社区利益相关者和多学科学术研究团队之间建立合作伙伴关系。通过整体考虑经济和社会问题,这一伙伴关系将发展研究概念,促进和使用S技术,帮助利益相关者解决影响该地区经济进步的主要因素。通过多学科的团队建设和强大的社区参与,S和CC提出的一体化研究概念将对各个学科和社区产生重大影响,以规划和发展更智慧的城市。特别是,研究概念将直接与城市智慧城市委员会和小组委员会确定的战略计划保持一致。通过拟议的门户网站,私人投资机构将与来自其他高等教育的研究人员,包括当地的HBCU南方大学,分享开发成果和从项目中收集的信息。最大的影响将通过项目实施前和项目后的生活质量措施来体现。建立社区范围的工具,帮助所有特派团的利益相关者为该地区所有公民解决与犯罪和交通相关的挑战,对生活质量和经济健康产生实际影响,使该地区更具增长吸引力。从技术角度来看,该项目建议通过整合高性能计算(LSU CCT)、大数据分析和网络安全(计算机科学)、传感器(电气工程)、暴力预防(社会工作和社会学)和交通(土木工程)等领域具有强大研究实力的不同研究小组,建立一个多学科研究团队。智力目标是通过离线研讨会、教程和在线门户网站定义具有挑战性的问题并开发研究概念,该门户网站允许轻松访问用于计算、存储和软件工具的集成网络基础设施。我们计划开发的软件工具将能够对从城市基础设施收集的各种数据、来自巴吞鲁日市的公共开放数据以及相关的社交网络数据进行预测分析。发展的研究理念将增加每个研究小组的研究能力,加强对跨学科需求的了解,并推动最先进的技术,以设计智能和互联社区。
英文摘要
The U.S. Economic Development Administration, through its Investing in Manufacturing Communities Partnership (IMCP) initiative, recently named the entire east-west, 200-mile span of South Louisiana centered around Baton Rouge (BR) as one of the nation's strategic manufacturing regions. This "chemical corridor" is the home of hundreds of chemical manufacturing facilities and refineries worth billions of dollars. Despite the major economic significance of this region, the BR area suffers from critical problems including i) crippling transportation issues, and (ii) high levels of crime. Heavy traffic congestion is one of the main reasons why manufacturing industry in BR is reluctant to build new plants and hire more people in this region; it is also a key factor in making the region unattractive for new investments from elsewhere in the U.S. The violent crime rate is substantially higher than that of similarly- sized regions, further affecting economic development in this important region. The goal of this S&CC planning proposal is to build a partnership between community stakeholders and a multidisciplinary team of academic researchers. By considering economic and social issues in a holistic manner, this partnership will develop research concepts that will promote and employ S&CC technologies to help stakeholders tackle the major factors affecting the region's economic progress. Through multidisciplinary team- building and strong community engagement, a proposed integrative S&CC research concept will have significant impacts on various disciplines and communities for planning and developing smarter cities. In particular, the research concept will be directly aligned with the strategic plans determined by the city's Smart City Committee and Subcommittees. Through the proposed Web portal, PIs will share the developed outcomes and information collected from the project with researchers from other higher education including Southern University , a local HBCU. The most significant impact will be seen through quality of life measures pre- and post-project implementations. Building community-wide tools to help stakeholders of all missions addressing crime- and traffic-related challenges for all citizens in the region has real impact on quality of life and economic health, making the region more attractive for growth.From a technical perspective, this project proposes to build a multidisciplinary research team by integrating different research groups with significant research strength in the areas of High Performance Computing (LSU CCT), Big Data Analysis and Cybersecurity (Computer Science), Sensors (Electrical Engineering), Violence Prevention (Social Work and Sociology), and Transportation (Civil Engineering). The intellectual goal is to define challenging problems and develop research concepts via offline workshops, tutorials, and an online Web portal, which allows an easy access to integrative cyberinfrastructure for computing, storage, and software tools. The software tools we plan to develop will enable predictive analyses on heterogeneous data collected from city infrastructure, public open data from the city of Baton Rouge, and relevant social network data. The developed research concepts will increase the research capacity of every individual research group, enhance the understanding of cross-disciplinary demands, and advance state-of-art technologies for the design of smart and connected communities.
期刊论文(7)
专著(0)
科研奖励(0)
会议论文
Towards Distributed Cyberinfrastructure for Smart Cities Using Big Data and Deep Learning Technologies
利用大数据和深度学习技术构建智慧城市的分布式网络基础设施
DOI: 10.1109/icdcs.2018.00127
发表时间: 2018
期刊: 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS
影响因子: --
作者: [Shams, Shayan, Goswami, Sayan, Lee, Kisung, Yang, Seungwon, Park, Seung-Jong]
通讯作者: Park, Seung-Jong
DOI: 10.1186/s12864-019-6286-9
发表时间: 2019-12-20
期刊: BMC GENOMICS
影响因子: 4.4
作者: [Das, Arghya Kusum, Goswami, Sayan, Park, Seung-Jong]
通讯作者: Park, Seung-Jong
ParLECH: Parallel Long-Read Error Correction with Hadoop
ParLECH:使用 Hadoop 进行并行长读纠错
DOI: 10.1109/bibm.2018.8621549
发表时间: 2018
期刊: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM
影响因子: --
作者: [Das, Arghya Kusum, Lee, Kisung, Park, Seung-Jong]
通讯作者: Park, Seung-Jong
GPU-Accelerated Large-Scale Genome Assembly
GPU 加速的大规模基因组组装
DOI: 10.1109/ipdps.2018.00091
发表时间: 2018
期刊: 2018 IEEE International Parallel and Distributed Processing Symposium
影响因子: --
作者: [Goswami, Sayan, Lee, Kisung, Shams, Shayan, Park, Seung-Jong]
通讯作者: Park, Seung-Jong
共 6 条
    Collaborative Research: OAC: Core: Harvesting Idle Resources Safely and Timely for Large-scale AI Applications in High-Performance Computing Systems
    IPA Agreement with Louisiana State University 1st year (Park 2021)
    • 批准号:
      2120248
    • 项目类别:
      Intergovernmental Personnel Award
    • 资助金额:
      $22.65万
    • 财政年份:
      2021
    • 负责人:
      Seung-Jong Park
    • 依托单位:
    MRI: Acquisition of SuperMIC -- A Heterogeneous Computing Environment to Enable Transformation of Computational Research and Education in the State of Louisiana
    • 批准号:
      1338051
    • 项目类别:
      Standard Grant
    • 资助金额:
      $392.42万
    • 财政年份:
      2013
    • 负责人:
      Seung-Jong Park
    • 依托单位:
    CC-NIE Integration: Bridging, Transferring and Analyzing Big Data over 10Gbps Campus-Wide Software Defined Networks
    • 批准号:
      1341008
    • 项目类别:
      Standard Grant
    • 资助金额:
      $94.79万
    • 财政年份:
      2013
    • 负责人:
      Seung-Jong Park
    • 依托单位:
    海外基金