Internet of Things

物联网

• 批准号: CRC-2021-00306
• 负责人: Elgazzar, Khalid
• 金额: $ 1.82万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=752570
• 关键词: Internet; Things

The Internet of Things (IoT) streams a massive amount of data varying in scale, speed, volume and value. Through this data IoT brings revolutions to a wide range of businesses and industrial sectors. However, the real value of the IoT comes from turning this data into actions to inform decision making through insights extracted by various data analytics techniques. The overarching objective of this research is to converge intelligent sensing and advanced data analysis techniques to empower IoT systems with innovative and interoperable AI data modeling and analytical techniques to develop next generation applications in intelligent transportation, smart healthcare, connected and autonomous vehicles, and industrial IoT. This will be carried out by developing novel toolboxes that facilitate data understanding, key feature extraction, interactive visualization, precise detection, accurate predictions, and context-aware personalized user smart services. The research outcomes will be demonstrated through rapid prototyping to show the feasibility, usability, and best practices in the context of the application domain. The results will lower the adoption barriers of IoT to promote the use of intelligent sensing and AI-powered solutions to offer convenience and smart services to revolutionize the way people carry out their everyday business at the enterprise and individual levels and improve the quality of life of Canadians and beyond.

物联网（IoT）流式传输大量数据，这些数据在规模、速度、数量和价值上各不相同。通过这些数据，物联网为广泛的企业和工业部门带来了革命。然而，物联网的真实的价值来自于将这些数据转化为行动，通过各种数据分析技术提取的见解为决策提供信息。这项研究的总体目标是融合智能传感和先进的数据分析技术，为物联网系统提供创新和可互操作的人工智能数据建模和分析技术，以开发智能交通，智能医疗，互联和自动驾驶汽车以及工业物联网的下一代应用。 这将通过开发新的工具箱来实现，这些工具箱可以促进数据理解，关键特征提取，交互式可视化，精确检测，准确预测以及上下文感知的个性化用户智能服务。研究成果将通过快速原型来展示，以展示应用领域背景下的可行性，可用性和最佳实践。研究结果将降低物联网的采用障碍，以促进智能传感和人工智能解决方案的使用，提供便利和智能服务，彻底改变人们在企业和个人层面开展日常业务的方式，并提高加拿大人及其他人的生活质量。