This technology is developedcontrolled by the National Central University, Central Weather BureauAcademic Sinica. The processing system is housed at NCUtechnical support is served in Taiwan to the global. The data is acquiredpreprocessed by CWB,followed by the invention of the cloud properties retrieval algorithm package by NCU. The final retrieval algorithm package is evaluatedenhanced by the local observation from Academic Sinica. Therefore, the processing system can be assured for its performancereliability. This state-of-the-art technology has been recognizedapproved by AGU JGR-Atmospheres, the leading journal in Q1 level of the related research community by the anonymous peer reviewing in June 2020.

TWCC provides services with up to date container technology. Through optimized AI software, developers can quickly deploy, which increases efficiency by 40 compared with the past. Also, it supports high-speed parallel computing. A further increase of 30 compared with current cloud services. In addition, TWCC will integrate AI programstools from different fields to become the largest model m

In the face of the COVID-19 pandemic, many restaurants have been closed for maintaining anti-epidemic measures. NCHC combined multiple AI technologiesdeveloped an automated service experience to provide a way for people to still enjoy the services received at restaurants while maintaining social distancing. To achieve this, we＇ve incorporated technologies including the following: NLP in AI, Cloud-Based Smart Point Cloud Processing (CSPCP), method for face searching in images, intelligent video analysisretrieval,artificial intelligence of things (AIoT).

Our system provides system identification, servo tuning,feed axis diagnosis for machine tools. Also, executing remote function verification,data collection are included. All these functions were actually tested verified by the co-operation manufacturer. It help operatorsengineers to maintainadjust the machine so that the feed drive system match. During this critical time of the COVID-19 epidemic, the proposed system provides a zero-touch remote diagnostic functionmethod for engineers to maintain the machines in the processing plant can effectively reduce coststime.

The smart glove was made by soft force sensor with the multi-walled carbon nanotube cast in the mesh structurecombined with an interdigitated electrode together, then used AC/DC conversionspace calculation to establish the interactive virtual reality(VR) somatosensory system under the wireless. The recipient can achieve the same feedback as the demonstrator＇s behaviorskills in VR.

3D digital pathology imagingAI auxiliary diagnosis platform integrates 3D pathology sample preparation, high speed image scanning,intelligent software analysis into a novel system. We have collaborated with clinical pathologists to develop both 3D biopsy pathology imaging workflowthe world first 3D pathology image analysis software MetaLite, along with AI models pathology feature annotationquantitative analysis of solid tumor with high accuracy can be rapidly processed. We have transferred patented technology to start up JelloX Biotech Inc. at NTHU for further operation.

The objective of this project is to develop a portablewireless urine detection systemplatform for prevention of cardiovascular disease. The main idea is to develop a system-on-chip, a microelectrodemicrochannel chip to detect biomarkers concentrations in urine. And then, it will be wirelessly transmitted to a smart application platform to evaluate user’s cardiovascular status.

"It is expected that human will work with robots in the coming years. However, it is still unknown how both can collaborate together. Meanwhile, it is still very time-consuming to deploy intelligent robots in production lines. For this work, we investigate deep comprehension for 3D (point cloud)text (voice) signals to enable novel human-robotic object referring for robotic arms. For the task

1. CDX is to provide an environment for long periods of time in coordination with school courses, including the simulation of a real company＇s network environment with randomly selected vulnerabilities in cyber defense contests. 2. HoneynetMalware Knowledge Base simulates systemapplication vulnerabilitiesthen monitors the cyber-attacksthe corresponding traffic flow.

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

This technology is a new microarray chip sensing technology that integrates "organic light-emitting diodes", "liquid crystal chemical sensors" and "mobile communication system" into "multifunctional liquid crystal smart cloud sensors". The obtained signals are uploaded to the cloud for multi-dimensional analysis to achieve multiplex detection in one single sample. This sensor device is lightweight, low-cost, simple to operate, and the target-of-interest can be custom-made according to user needs.

This project aims to incorporate the state-of-the-art InformationCommunication Technologies (ICT), the Internet of Things (IoT), Big Data techniques in linking every aspect of community-based integrated long-term care (LTC), improving the efficiency of care servicesadministrative process,to realize the idea of Aging in Place emphasized in the Long-term Care Policy 2.0 in Taiwan.

Artificial intelligence 3D sensing image processing system based on array sensing Lidar aims to construct 3D image with high-quality immersion for AR/VR. The developed 3D scene recording system is based on the color camerahigh-accuracy chaotic LiDAR. The chaotic Lidar with APD arrayTOF sensors supports millimeter-accuracyinterference-avoiding capability within 100 meter in both indooroutdoor environments. High-performance embedded CNN processor supports high-throughput, high energy-efficient,low DRAM bandwidth computations for various image AI applications.

The product—CAN Bus OBDII/J1939 Bridge can ease the design for equipments related to monitor for fuel economics,emission. The following applications can be developed easily: l Vehicle diagnosis l Vehicle status monitor/Service l Fleet management l Vehicle to Vehicle (V2V) communication l Vehicle performance log l Air pollution monitor

High-accuracy 3D sensingAI image processing system for constructing high-quality immersion 3D image for AR/VR. Chaotic Lidar with APD arrayTOF sensors supports millimeter-accuracyinterference-avoiding capability. High-performance CNN processor supports high-performancelow DRAM bandwidth computations for various image AI applications.