We develops a precision smart healthcare platform to deliver a comprehensive medical care experience to the elderly by Artificial Intelligence of Things (AIoT) technology. The platform offers health education, community interaction, personal health information,rehabilitation logs. It can be used as a basis for clinical staff to conduct diagnosistreatment. The system development tools use PHP programming languageLaravel framework to develop all arithmetic logic,gradually complete the dynamic association databaseinteractive web page functions.

This technology uses deep learning technology to establish six automatic organ segmentation models for six organsa graphical user interface for doctors. The data is exchanged with the existing radiotherapy planning system by standard formats. Analysis of the dosimetric parameters of the 3D printed customized bolus demonstrated that it is provided good dose escalationgood contact with the irregular surface.

This Artificial Intelligence model interprets 12-lead electrocardiograms of adults to diagnose heart failure accuratelyefficiently. It is a fabulous heart failure screening tool that can detect more asymptomatic patients. Our goal is to help patients get early treatmentprevent disease deterioration.

The time-temperature indicator (TTI) developed by immobilizing laccase on electrospun fiber film with high specific surface area. The activation energycoloration of laccase TTI can be adjusted by pHaddition level of laccaseNaN3. This TTI exhibits high accuracy, stability, temperature reversibilitylow cost. The intelligent food packaging developed by this TTI can reduce the food wastethe food safety risk in traditional packaged foods.

This creative platform is about an interactive music platform. The main purpose is to enable users to integrate musicinteract to achieve the effect of a music theory that combines the basic rhythm of training with the basics of learning.

National Taipei University of Technology (NTUT) announces the latest approach“embedded smart textiles arrays display module” (ESTAD module) . The ESTAD module involves twoparts,one is circuitthe other is control box. The circuit is to attach the fabric seamlessly,this could be twistedrubbed to fit various design. The control box is designed smaller than the current form to put in the pocketsomewhere hidden in the potential application.

The smart graphene (Gr) sensor developed by this team is self-assembly arranged through Gr. No traditional polarization process is further required due to use of high conductivity of Gr. Further, because of the conductivity of the Gr sensor itself, no additional electrodes are required for collecting the mechanical-electric signals.The process of manufacturing the piezoelectric film can be simplifiedthe cost of process reduced. Moreover, the Gr sensor can be directly coated on materials with different curved shapes and, the sensitivity of the direct-coated sensor can be greatly enhanced.

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).

"The SPC process technology developed by our team has a patented cloth surface treatmentmultiple layers of conductive circuit layers (Layout) without etchingtransfer printing processes. It can not only be continuously automated production (piece to piece), but also Environmental protection, in line with the green trend of cleaner production. Features: 1. E-textiles 2. Twistable 3. Folded (0-180 degree angle) 4. Cleaning 5. Customized"

This technology develops an intelligent surgical pressure detection system, including a pressure sensing element embedded in a surgical cotton pad, a signal reading device,a big data analysis database. The measurement data can be transferred to the AI big data database. Using AI technology, the surgeon＇s force can be recognized in real timethe calculation result can be immediately returned to the system APP. Let the surgeon who performs the operation get the most real-time information, which can avoid organ damage during the operation,effectively protect the safety of patientsthe rights of physicians.

This technology mainly uses magnetic resonance wireless energy transmission technology to effectively improve the non-contact charging efficiency.

”AI2 Robot City” is a game-based learning kit for primary and secondary school students, which combines AI image-recognition teaching tool of MIT App Inventor and the computational thinking board game named as "Robot City." Through this learning kit, users will learn to make smart cars, create image-recognition models, write and perform mobile application. Users will learn to write a program to recognize the personal cards in the board game, and furthermore to control the smart cars with blue-tooth and compete in the computational thinking board game.

1. Infrared wax physisorption kinetics (iR-WPK) provides a glyco-histopathological imaging analysis for examining tissue sections, which utilizes n-alkanes with carbon number (CN) from 20 to 34 and beeswax as glycan adsorbents for targeting similar longitudinal length of glycans of glycoconjugates anchoring in the cell surface. 2. It is an in-situ non-destructive method of examining tissue sections for cancer screening and prognosis prediction for chronic kidney disease by profiling aberrant glycans covalently-attached to both glycoconjugates anchored in tissue sections. 3. It can screen ten cancers including colon cancer, breast cancer, ovary cancer, cervical cancer, oral cavity cancer, gastric cancer, skin cancer, prostate cancer, intestinal neuroendocrine tumor and brain cancer.

Optical coherence tomography using an optical probe with a diameter of 0.9 mm, combined with the 14-18 gauge needle, is used for clinical needle puncture. Using the real-time image obtained from the tip of the needle in the tissue, the needle position can be identified. Combined with artificial intelligence can achieve objective, accurate and automatic identification of the tissue, which has been successfully verified in anesthesia and laparoscopic surgery.

Although masks protect us from COVID-19, they cover a substantial portion of the face,eliminates important facial expressions during communications. EmoMask is a human-AI collaborative mask that mediates these interactions in mask-wearing environments through emotion-aware sensorsAI algorithms, which works with humans to create facial expressions. The EmoMask system identifiesdifferentiates expressions using TinyML-based AI algorithm,conducts real-time classificationsregressions to create matching facial expressions during a communication while faces are covered.

This technique combines more than one AI models to precisely predict current under noisy data from current sensoroptimizes speed rate based on this AI forecasting model. At the same time, it considers the practical requirementslimitations of workpiece surface roughness, tool machine current load, etc. This technique provides decision supports for optimizing parameters of CNC milling machine to keep high efficiencyenhance energy conservation.

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.

We constructed a model to differentiate different neurodegenerative diseases by using blood-based biomarkers. Linear Discriminant Analysis (LDA) was used to reduce dimensionsMICE (Multivariate Imputation by Chained Equations) was used for missing value treatmentchoose CART model to predict missing value imputation. This machine learning model would be used for early dectection of neurodegenerative diseases.