"1. The modular design of a electric breaker is proposed. A prototype of a solid-state circuit with an input voltage of 500 Vadjustable rated current including 50 A, 100 A, 150 A200 A. 2. Achieved zero-current cutoff within 110 µs using the characteristics of IGBTs to detect the current value. 3. A12 bits analog/digital converter is used to achieve a higher accuracy current detection effect when compared with the conventional analog circuit. It can also detect the fault current rising ratecorrespond to different protection delay times according to the different fault current rising rate, so that the components in the solid-state breaker can withstand a lower fault current."

"We propose a system that use the most popular deep learning technology to analyze panorama videoimage to extract the 3D layout of the panorama image to create a virtual scene. This 3D layout structure allows the system to add 3D model to the original panorama video, making it more editablecapable of synthesize virtual objects to the real world of panorama videos. Our system uses the 3D layout to create low-poly mesh with almost the same quality of the real scenery. This allow users to browse the 3D result on website with low latency."

"The digital transformation of emergency medical is a inter-agency standard of data bridging, which integrates the 119 fire dispatching materials, fire rescue records, ambulance driving data, patient tracking (patient vital characteristics data), emergency medical resources, patient care process. We use NATs (The Cloud Native Message System) technology to achieve early warning mechanism that deliver on-site patient information to the hospital, including: patient＇s vital signs, type of acutesevere illness, etc. We think it cloud enhance the early prevention measures at hospital."

This project develops a high-precision maskless lithography system consists of digital light processing, microlens / spatial filters arrays,precision servo-controlled motion technologies. Based on this maskless UV lithographic system, we are able to achieve UV patterning of arbitrarycomplicated 2D/3D microstructures for advanced IC substratepackaging.

Oscillator is a very important device of significant components in electronic products. This invent proposes a new method for calibrating oscillator frequency. By this technique, the oscillator product using this invent can output the frequency of clock signal flexibly from 1MHz to 200MHz through a programmer setting. This invent is the first low-cost oscillator control chip in the world that can set the frequency of output clock signal. In addition, this invent developed the smallest package 20x16 mm2 oscillator for next-generation consumer electronics in the world.

A highly sensitivelinear ultrasonic radar was realized using digital self-injection-locking (SIL) technique. It can remotely monitor the vital signs of a human in motion, which will be demonstrated in this expo by upgrading a low-cost ultrasonic radar for reverse parking to support high-value telemedical applications. In the future it will further combine phased-array technology to implement non-contact 4D ultrasound system, which will bring disruptive innovation to medical technologies.

"a.The Digital ArchivingConservation System of Cultural Relics combines various imaging techniques like catoptric imaging, 3D renderingmulti-spectral imaging, which provides multiple scientific images data for the inspection of cultural relics. b.Environment Detection System allows controlling the environmental device from a far distance."

We develope ZnO:Li as lead-free piezoelectric materialssuccessfully develop lead-free piezoelectric MEMS accelerometers through MEMS process technology. Since the input signal of the SAR ADC is voltage, Therefore, the charge generated by the accelerometer must be converted into a voltage signalthen transfer to the digital code from the SAR ADC.

In the context of FinTech, we present Financial Graph Attention Networks (FinGAT) to recommend high-profitable stocks in terms of return ratio using time series of stock pricessector info. Our FinGAT can learn the long-short-term price tendency,model the latent interactionsinfluence between stockssectors without any hand-crafted effort. Experiments conducted on Taiwan Stock, S&P 500,NASDAQ stock markets exhibit remarkable accuracy of FinGAT, comparing to state-of-the-arts (by 11, 14,12 performance improvement). The tech is published in IEEE TKDE 2021.

This research develops an innovative method for patterning arbitrarycomplicated 3D microstructures on metallic roller surfaces. This roller mold manufacturing system consists of digital light processing, arrayed microlensesoptical fibers,precision servo-controlled motion technologies. Based on this arrayed UV beam pen system, seamless roller molds are fabricated for roller imprintin

Super fast terapixel server allows multiple users to viewanalyze gigapixelterapixel images with mobile devices, such as iPhones, iPads, Android mobiles,laptops at the same time. Users could annotateanalyze the data using built-in tools such as 3d effect, color deconvolution, color quantification, nuclei/object detection, lengtharea measurement,quantitative reporting system.

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.

This project with aim of promoting digital optics education is funded by Ministry of Education. In the entry-level class, students are guided in the hand-on experiments to bring up the ability to set up optical pathsto learn the basic optics principles. In the advance-level class, students are encouraged to work on a 3D holographic project using the fast-response LCOS-SLM developed in Digital Optics Teaching Laboratory of NYCU. Students are able to apply different computer-generated holography (CGH) algorithmsdesign optical path accordingly to obtain desired holographic images.

This project is used for advanced driver assistance systems (ADAS)automatic driving. At present, our project will use a more sensitive CMOS single photon detector array to reduce the number of photons required for detection to less than ten, in order to break through the cost barriers of applications of LiDARestablish low-cost, high-performance LiDAR modules.

"The team established material doping technology to greatly improve the piezoelectric properties of lead-free materials,successfully prepared MEMS lead-free triaxial piezoelectric accelerometers. The use of lead-free materials is the world＇s first development result. In addition, the team also integrated sensors, back-end circuitsuser interfaces, applied the acceleration gauge system to the safety monitoring of unmanned vehicles,successfully integrated the intelligent integrated sensingcontrol system required in the Internet of Things era."

Through the developed internet of inspectionassessment device the digital twin model of specific implant structure can be constructed by using daily collected data besides assessing the osseointegration status of varied stages. The built model may trace the subject’s osseointegration changing. The internet of inspection device can also be applied for the health inspection of tapsdrills. Two types of inspection mechanism, electro-magneticvibro-acoustic, have been implemented in the device. The stability of structure is assessed through the computed frequency response function.

NCREE has originally developed 5D digital space—on the basis of 3D city modelsconnections of different kinds of sensors around the world— is an online to offline virtual space with a combination of rising 5G technology advantages. Collectingreorganizing various 3D cartographic data with Building Information Modeling (BIM), satellite imagery, UAV 3D modeling, LiDar point cloud data, etc., can increase the diversity of the buildinglandscape. 5D+5G smart city platform would accelerate the 5D smart city to become the digital twin of a real city.

Our technologies are able to analyze customer behaviorsprovide personalized automatic services. We take two directions: (1) Establish a customer behavior predictionrecommendation system by analyzing consumption records, exploring behavior features,strengthening the link between marketing strategiesbehavior analysis (2) Collaborative EDM subjects generation by analyzing the relationship between customers’ click recordsconsumption for understanding the relationship between customer intentionsfinancial products,for generating personalized marketing strategies.

This technique combines deep learningdigital twin technologies to connect the designconstruction processto achieve construction-site rebar inspection, issue tracking, verificationmaintenance. This core component of this method is based on the image collection of rebar frames, digital twin creation, cooperative machine learning,the rebar inspection module development. The BIM model was automatically matchedcompared with the 4D digital twin with features of point cloudtime sequence.

We proposed a dynamic-key secure DFT structure that can generate the keys dynamicallydefend scan-basedmemory attacks without decreasing the system performancethe testability. Analysis results show that our method can achieve a very high security levelthe security level will not decrease no matter how many times the attacker guesses due to the dynamic characteristic of our method.

This successful technology is the digital interventions on depression patients based on (1) heart rate variability bio-feedbacks (HRVBs) measured by a novel flexible sensor patch attached on patient’s wrist(2) an APP. An innovative flexible low-power PPG patch has been designed which is capable of providing weeks of high-quality PPG signals which are essential towards accurate estimation of HRV for favorable efficacy of designed digital interventions. Also, An AI model correlating the HRVsand PHQ-9/HDRS scores of depression patients will be built based on collected data.

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.

Assisted by in-house AI deep compression toolchain (ezLabel, ezModel, ezQUANT, ezHybrid-M), the proposed technology supports automatic AI model designoptimization with the integrated performance of 120x model size reduction70x power reduction in 2D CNN model,develops a world-first 1/2/4/8-bit CNN model realized by the developed high efficiency Hybrid fixed point CNN NPU (Hybrid-NPU), which has been verified in Xilinx ZCU102 FPGAachieves the performance up to 2.5 TOPS(8-b)/ 20TOPS(1-b)@28nm technology running at 550MHz4TOPS/W energy efficiency.