Advancing New Frontiers of Autonomous Internet-of-Things (A-IoT) by Contactless Sensors

Speaker:  Philip Pong – Hong Kong, Hong Kong
Topic(s):  Applied Computing

Abstract

Internet-of-Things (IoT) will provide the framework for establishing a smarter and more connected future for people. The exploratory IoT technologies will enable scientists and engineers to build a better place for everyone to work, live and enjoy life. Charting out the evolution of IoT is the development of autonomous IoT (A-IoT) whereby data and decision will both be actively managed by the devices. A-IoT will carry out autonomous decision-making. Human factor will be taken out of the equation, driving value and cost efficiencies and possibly enhancing safety. Some examples of future A-IoT applications include self-driving vehicles that self-navigate to the destinations, smart switches that automatically open or close to implement self-resilience in power grids, and smart meters that form part of the home energy management systems and shift the energy usage to an optimal time for renewable energy generation. These new autonomous applications in vehicles and power grids will open up new frontiers in many aspects of smart living, and their decision-making processes rely primarily on perception with sensors. 

Sensors are often the first thing people think of when talking about A-IoT. They carry out the critical work of monitoring processes, taking measurements and collecting data, functioning as the important enablers of A-IoT. A sensor is a device providing a usable output in response to a specific measurand. A major constraint that has long been limiting pervasive sensing for condition monitoring is installation difficulty and cost, which is mainly due to contact measurement. This situation is changing dramatically because of contactless sensors that can carry out measurement non-invasively, making pervasive sensing feasible and practical. Besides, sensor fusion adopting a combination of different sensors measuring various measurands is needed to monitor the state of the device or system and the ambient surrounding. Extracting useful information from the sensor data for subsequent analysis and decision making is an inverse problem. As the sensing environment and applications become more complicated in A-IoT, the inverse problem can become dauntingly difficult because of the huge parameter space and non-explicit physical relation linking the parameters and the measurands. An effective solution is to make use of computational intelligence. This talk will elaborate on how the combination of contactless sensors and computational intelligence will advance the new frontiers of A-IoT and the associated opportunities. Particularly, the role of contactless sensors in autonomous energy grids will be discussed.

About this Lecture

Number of Slides:  35
Duration:  45 minutes
Languages Available:  Chinese (Simplified), English
Last Updated: 

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