Internet of Things

物联网(IoT)传输了规模、速度、数量和价值不同的海量数据。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，物联网的真正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洞察力为决策提供信息。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，通过创新和可互操作的AI数据建模和分析技术来增强物联网系统，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中的下一代应用。这将通过开发新的工具箱来实现，这些工具箱促进数据理解、关键特征提取、交互可视化、精确检测、准确预测和情景感知的个性化用户智能服务。研究成果将通过快速原型法进行演示，以显示应用程序领域上下文中的可行性、可用性和最佳实践。这一结果将降低物联网的采用门槛，以促进使用智能传感和人工智能支持的解决方案，提供便利和智能服务，以革命性地改变人们在企业和个人层面开展日常业务的方式，并提高加拿大人和其他国家的生活质量。

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.