An IOT sensor was presented to detect human motionvital signs with Wi-Fi signals. It mainly combines MIMO beamforming, injection-locking radarmachine learning techniques to recognizetrack physicalphysiological activities for health status monitoring. As a proof of concept for pandemic prevention, the presented sensor aims to inspect whether someone is exhibiting signssymptoms of COVID-19 infection within the Wi-Fi coverage area, such as fatigue, cough, shortness of breathirregular heart rhythm,even to detect sudden death.

"In this project, the proposed technologies of Environment Sensing Hub including： (1) Air sensing hub：integrate H/T/P sensor, PM 2.5 sensorwireless multiplexing module for system-on-package (SiP)system-on-chip (SoC) (2) Water sensing hub：heavy metal ion sensor (modules integration, startup company), spectrochip (systems integration, startup company)"

The environmental information is very important to the human life, the proposed technologies of Environment Sensing Hub including: (1) Air sensing hub: temperature sensor, humidity sensor, pressure sensor, infrared sensor, noise sensor (microphone), PM 2.5 sensor (2) Water sensing hub: heavy metal ion sensor, spectrochip

Equipped with the GNSS-R, a 300-kg class Triton satellite is developed by NSPOperforms the mission of GNSS sea surface reflection signal researchapplication. Triton satellite collects global navigation satellites’ signals reflected from the surface in low earth orbit,these single data can be used in the research of soil characteristics, air-sea interaction, typhoon intensity prediction etc.

A portablemagnetic surface Raman-enhanced scattering (SERS) nanoparticle arrays platform would be developed for magnetic separationSERS detection of environmental, water,biomolecules samples. It is very simplerapid platform with portable Raman spectroscopy to detect samples (bacteria, virous, water toxicants) after magnetic separation processes, without labelling the fluorescence dye,the limit of detection concentration is lower than 10-8 M.

Within 10 years, Taiwan will become a super senior society with the proportions in silver hairs of more than 20. Thus, a high-throughputsmart platform with bio-physiology-marker panels is developed for PD progression by combining the bio-medicalphysical sensors, SPRsmart circuit design, leading to a new UPDRS for a more accurateearly diagnosis of a physician.

The proposed indoor radar sensing system includes two enabling technology, activity recognitionrespiration rate estimation. In the former, the proposed framework consists of four major components: denosing, enhanced voxelization, data augmentation,dual-view machine-learning to lead to accurateefficient human-activity recognition. In the latter, the proposed system leverages the variation of the phase information of a specific frequency bin of the range profiles,proposes a dynamic adaptive respiration waveform filtering algorithm to improve accuracy.

As we know, most flowering devices are usually connected with a water pipe. when water goes through the pipeinto the flowering device, we can adjust the type of spray, especially when used for taking a shower. With technology keeping improving, we know that flowering devices have been designed to light

The first multifunctional elastic (650) fiber that can scavenge biomechanical energyelectromagnetic energy from surrounding electrical appliances is developed as a wearable power providervarious self-powered sensors. These findings optimally unify mechanical freedomthe capability of harvesting biomechanical energyelectromagnetic energy from surrounding electrical appliances as well as self-powered sensing in a single fiber.

Our team has developed technology to build lung-on-a-chip with the aim of creating alternatives for animal researchachieving more accuratereliable preclinical experimental data.The chip＇s rapideffective screening ability will help the clinical community to reduce costsdrastically shorten the drug-development process.

Autonomous vehicle test at a limited field or even on the public road has its limitations. Simulation is essential to increase the test coverage. Taiwan Semiconductor Research Institute(TSRI) develop an autonomous vehicle test system based on CarMaker, which is a simulation tool from IPG Automotive. 13 testing scenarios and 6 testing routes corresponding to the physical test at Shalun testing field are built and included in this autonomous vehicle test system. An AEB(Autonomous Emergency Braking) function will be demonstrated to show how this autonomous vehicle test system works.

The technology combines specific visual recognitionelectrochemical quantitative detection in a single portable device, providing instantconvenient copper ion detection. The sensing sensitivity has reached the standards of Taiwanthe United States for heavy metal detection for food, human body,environments. In use, this portableuser-friendly interface device not only makes it simple to report back to the EPA database for water quality analysis, but also it can be utilized for real-time detection from youngsters to the elderly.

The TSRI biomedicalepidemic prevention sensor chip platform uses multi-functional integrated design, with advanced sensorchip design technologies integrating with AI systems, to achieve the goal of diversified epidemic prevention. The platform is open for R&D teams from industryuniversities to develop genetic engineering modification of specific virus typesestablish DNA identification technology, as well as to accelerate development cycle for emerging virus detectorsshorten the virus detection time.

With the rapid growth of the aging population, the safety of the hospitalized elderly has become an important issue. Therefore, our team propose an innovative bed-exit alarm system using multiple sensors for bed-exit detection. With data fusion, IoTAI technologies, the system can achieve early detectionsignificantly reduce false alarms. In addition, it can realize real-time video streami

The self-powered sensing system realizes self-powered wireless wearable pressure sensing modules, self-powered intelligent environment sensing robots,self-powered smart window, which can carry out self-powered sensing signals combined with the transmission of the Internet of Things. Functions such as medical monitoring aidsautomated environmental quality sensing. In the future, this system opens a window towards automatic monitoring of environmental analysispersonal smart healthcare.

Due to the fast development of 5G networks, it is critical to identify users service types to allocate resources intelligently. Our technology focuses on users mobility type identification by extracting practical features from users cellular information. We proposed a system architecturehave collected 700-hour data with 150 GB. By using our dataother datasets in the world, we show that our technology can achieve 95 accuracy,reduce 16 energy consumption compared to traditional methods.

Here we developed a fastgreen process of micro-plasma system for three-dimensional porous nanomaterials on low-cost paper substrates. The characteristics are low-cost, flexible,high-stability. It has three major applications, including increasing Raman measument, the detection process can be used with portable Raman spectroscopy for fast sensing,it can quickly analyze pesticides, food, drugs, etc. In addition, it can be equipped with boron nitride for high hydrogen productionhigh pollution biodegradationother applications.

A technique compatible to IC process has been presented to prepare gas sensing chips the lightly-doped region of nanoelectronic devices are grown with different sensing materials to form a gas sensor array. During gas sensing, individual nanodevice was Joule-heated, reducing power consumption to microWatts/device, solving the current high power consumption problem. With self-calibration of temperature, humidityinterfering gas, problems like cross-sensitivity, quantification, specificitysensitivity are solved. A demonstration of I+Nose with smart phone was presented for CO detection.

Concerning the uncertainty of assuming well-mixed aerosols within the planetary boundary layer, a sensible aerosol vertical distribution described by a log-normal fitting function is proposed to provide more realistic single-peak extinction profile with a decadal MPL in situ dataset. The performance of fitted single-peak aerosol profiles can reach up 0.8973 of correlation coefficient when considering the seasonal variations in PBLH and the surface layer height of well-mixed aerosols. Eventually, not only the aerosol extinction profile but also the 3-dimensional distribution are promising to be created from satellite AOD retrieval with PBLH information for providing accurate PM2.5 monitoring over a regional scale.