US Ignite: Collaborative Research: Focus Area 1: Fiber Network for Mapping, Monitoring and Managing Underground Urban Infrastructure

US Ignite：合作研究：重点领域 1：用于测绘、监测和管理地下城市基础设施的光纤网络

• 批准号: 1647175
• 负责人: Dalei Wu
• 金额: $ 29.99万
• 依托单位: University of Tennessee Chattanooga
• 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
• 起止时间: 2017-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1647175&HistoricalAwards=false
• 关键词: US; Ignite; Collaborative; Research; Focus

Underground infrastructure supports services critical to daily human life, including fresh water supply, waste and storm water sewage, natural gas, electric power, steam and telecommunications. Much of the infrastructure is aging, and in unknown locations and condition. This project proposes innovative research to monitor and map underground infrastructure by integrating gigabit network-enabled sensing and mapping, cutting-edge networking, and data analytics. These real-time and automated sensing and mapping techniques can improve maintenance and management operations through better planning, incident response and condition assessment. Success will improve construction and repair efficiency, and reduce unplanned service interruptions, and accidents that harm the public safety and environment. This is a collaborative research project between the University of Vermont and the University of Tennessee at Chattanooga. The cities of Burlington, VT, Winooski, VT and Chattanooga, TN are providing access to their infrastructure facilities for testing. A notable feature is that all three cities have deployments of gigabit networks that are available for use on this project. The three participating cities are located in small metropolitan regions that ease implementation of research efforts, yet are big enough to identify key issues affecting scaling up to larger cities. This project also provides educational experiences for graduate students and participating municipal utility officials in gigabit network-enabled sensing and underground urban infrastructure. This project uses gigabit networks to integrate a mobile ground penetrating radar sensing with a cohesive network of sensors for detecting, assessing and reporting incipient conditions, such as emergent leaks. The processing and presentation of underground information will be rapidly transmitted to interested parties through secure, timely, and reliable communication, This project helps to build network-augmented position registration in an urban environment. Performance of the gigabit network-enabled utility mapping and sensing system will be measured in three participating cities. Success with this research will enable cities to manage, maintain and grow their infrastructure in manners that improve service, sustainability and resilience, while reducing costs, energy consumption and wasted resources. Since many of the aging underground infrastructure lies in older cities, often subjected to economic distress and decay, this project can help to provide basic human needs and rights, and help to provide social justice through reliable low-cost provision of clean drinking water, functional storm and waste water sewers, heat, electricity and telecommunications. Additionally, there is significant potential for increased resilience and rapid effective management of recovery from disasters.

地下基础设施支持对日常生活至关重要的服务，包括淡水供应，废物和雨水污水，天然气，电力，蒸汽和电信。大部分基础设施是老化的，并且位于未知的位置和状况。该项目提出了创新的研究，以通过整合具有千兆网络的传感和映射，尖端网络和数据分析来监视和映射地下基础架构。这些实时和自动化的感测和映射技术可以通过更好的计划，事件响应和状况评估来改善维护和管理操作。成功将提高建筑和维修效率，并减少计划外的服务中断，并损害公共安全和环境的事故。这是佛蒙特大学和田纳西大学查塔努加大学之间的合作研究项目。伯灵顿，VT，Winooski，VT和田纳西州查塔努加的城市正在提供对其基础设施进行测试的访问权限。一个值得注意的功能是，这三个城市都有可用于该项目的千兆网络的部署。这三个参与的城市位于小型大都市地区，可以轻松实施研究工作，但足够大，可以识别影响扩大到大城市的关键问题。该项目还为研究生和参与的市政公用事业官员提供了教育经验，以千兆网络的感应和地下城市基础设施。该项目使用千兆网络将穿透性雷达传感与凝聚力的传感器网络集成在一起，以检测，评估和报告出发状态，例如紧急泄漏。地下信息的处理和呈现将通过安全，及时且可靠的沟通迅速传输给感兴趣的各方，该项目有助于在城市环境中建立网络调格的位置注册。将在三个参与城市中衡量具有千兆网络的实用程序映射和传感系统的性能。这项研究的成功将使城市能够以改善服务，可持续性和弹性的方式来管理，维护和发展其基础设施，同时降低成本，能源消耗和浪费资源。由于许多衰老的地下基础设施都在较老的城市，通常会遭受经济困扰和衰败，因此该项目可以帮助提供基本的人类需求和权利，并通过可靠的低成本提供清洁饮用水，功能性风暴和废水下水道，热量，电力，电力，电力和电信来帮助提供社会正义。此外，还具有巨大的弹性和快速有效地管理灾害恢复的潜力。

项目成果

Resource Modeling and Scheduling for Mobile Edge Computing: A Service Provider’s Perspective

• DOI: 10.1109/access.2018.2851392
• 发表时间: 2018-06
• 期刊: IEEE Access
• 影响因子: 3.9
• 作者: Shuaishuai Guo;Dalei Wu;Haixia Zhang;D. Yuan

Enhanced Underground Object Detection with Conditional Adversarial Networks

使用条件对抗网络增强地下物体检测

• 发表时间: 2019
• 期刊: ISSAT International Conference on Data Science and Intelligent Systems
• 作者: Will, Rice;Omwenga, Maxwell;Wu, Dalei;Liang, Yu
• 通讯作者: Liang, Yu

Classifying GPR Images Using Convolutional Neural Networks

使用卷积神经网络对探地雷达图像进行分类

• DOI: 10.4108/eai.21-6-2018.2276629
• 发表时间: 2020
• 期刊: MOBIMEDIA 2018
• 作者: Almaimani, Maha;Wu, Dalei;Liang, Yu;Yang, Li;Huston, Dryver;Xia, Tian
• 通讯作者: Xia, Tian

Extensive Huffman-tree-based Neural Network for the Imbalanced Dataset and Its Application in Accent Recognition

不平衡数据集的扩展哈夫曼树神经网络及其在口音识别中的应用

• DOI: 10.1109/icaiic51459.2021.9415243
• 发表时间: 2021
• 期刊: 2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC
• 作者: Merrill, Jeremy;Liang, Yu;Wu, Dalei
• 通讯作者: Wu, Dalei

Development of Real-Time Smart City Mapping Utilizing Game Engines

利用游戏引擎开发实时智能城市地图

• DOI: 10.1109/isncc49221.2020.9297248
• 发表时间: 2020
• 期刊: Computers and Communications (ISNCC
• 作者: Clark, Tucker;Brock, Evan;Wu, Dalei;Liang, Yu
• 通讯作者: Liang, Yu