Technical (Virtual) Event / Bucharest / 18th of November 2020 / 09:00 am EET
Ved Ram Singh / Advanced nano-sensors for IoT based systems for U-healthcare
Abstract
There is a rapid progress in the field of sensors and systems, day by day, giving good technological development in the industry and biomedical field. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner.
Design and development of advanced nano-sensors are discussed here with IOT based systems, mainly for U-health care applications in a reliable manner. Monitoring is made for the health care of old age patients living in remote and hilly areas.
Also, advanced biomedical sensors and IOT based systems are presented for healthcare applications for tele-health use. The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies and sensor networks would thus be useful for solving the problem of unexplored diseases, as well as for controlling of the quality of medicines, drugs, equipment and physiological event of monitoring systems. WSN (Wireless Sensor Networking) is used here for Ubiquitous applications in the remote environment. Nano-cancer technology is given here as the case study.
Chengkuo Lee / Toward 5G based AI + IoT (AIoT) Society Enabled by NanoEnergy-NanoSystem (NENS) Technology
Abstract
IoT technology that enables the connecting and controlling of devices through the internet has attracted more and more attention due to its great prospect in diversified applications such as smart home, healthcare, manufacturing industries, etc. Besides, the overall power consumption of the whole system especially for long-term connectivity has become one of the most urgent challenges that obstacles its rapid development towards practical applications. So far, the most widely used power source for IoT is still the conventional battery, which has a limited lifetime and requires periodic charging processes after each usage. To address this issue, energy harvesting techniques that convert other types of energy into electricity have been proposed and developed as an alternative power source for electronic devices. We will firstly report our progress in various energy harvesting technologies. Then we highlight a battery-free short-range self-powered wireless sensor network using TENG textiles for future IoT applications. Healthcare monitoring is one of the major applications in the IoT. In this regard, we have developed a smart sock that is soft and washable to monitor various physiological signals, i.e., gait, contact force, sweat level, etc. More importantly, it is used as an energy harvester for scavenging energy from foot movements as well. On the other hand, implantable devices, considering as advanced and aggressive healthcare technology, also receive grand research effort worldwide to provide functionalities such as physiological signal recording, cellular/neural/muscle stimulation, implantable energy harvesting, etc. We have demonstrated the mechano-neuromodulation of autonomic pelvic nerves for the first time with a triboelectric neurostimulator and a flexible neural clip interface. Lastly glove-based human-machine-interfaces using triboelectric sensors are developed for multi-directional game control, wireless car/drone control, great potential in applications of writing pad, security, virtual/augmented reality (VR/AR), etc. By combining the Artificial Intelligence (AI) technology and wireless IoT technology, sensors providing massive sensory information to the cloud server will enable the next-generation Artificial Intelligence of things (AIoT) for smart home and healthcare applications in the new era of IoT and 5G.
Thomas Ernst / The impact of IoT: Computing in sensing systems for future embedded applications
Abstract
Today, the omnipresence of “big data” and worldwide social interactions requires technologies capable of “intelligent” features in order to analyze complex objects (such as sounds, images or videos) in real time and interact with humans in a cognitive way. The advent of the Internet-of-Things has also introduced a new paradigm that supports a decentralized and hierarchical communication architecture in which a great deal of analytics processing should be done at the edge and at the end-device instead of in the cloud. We will discuss a novel research strategy targeting specialized low-power computing architectures, based on innovative components, such as emerging resistive memories, advanced CMOS and 3D technologies. Moreover, novel applications in the field of embedded systems, will be discussed thanks to the coupling of brain-inspired computing technologies with new sensing systems.