The red-leaf aglaonema were promoted growth of by water-retaining materials. For the growers, the technology can effectively shorten the duration of cultivationpromote the quality of potted flower. Therefore, the technology solves the problems of productionwill have practical application in the industry.

Here, we develop a comfortable dental headpiece with aerosol reduction function as shown in Figure 3. This can not only help reduce the air pollution, but also reduce noisevibration, enabling future dental treatment to be safermore pleasant. Air curtain are traditionally used to contain pollutants in large area, here we used the air curtain technology to contain air pollutants in a small area at the sourceadded negative ions to remove air pollutants within. This technology can also be applied to other handheld tool that emits air pollution.

In agriculture, the team has developed a “Chinese Medicinal Functional Compound Prediction A.I. System” that can predict compounds production during cultivation period. Moreover, in application, we have implemented a smart agricultural platform-AgriTalk to link the “Functional Compound Prediction System”“Smart Fertilization System” to provide a comprehensive management in farm production.

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.

The smoke removal device with smart detection has the capability of gas detectionindoor air circulation. The system is internally equipped with a sensing device. If an abnormal PM2.5 valuea high concentration of dangerous gas is detected, the fan can be automatically activated immediately to quickly filter the air,both preventivemonitoring functions can be achieved.

The overall system first extracts embedded speaker identity features using a neural network model, then the deep neural network speech enhancement takes the augmented features as the input to generate the enhanced spectra. With the additional embedded features, the speech enhancement system can be guided to generate the optimal output corresponding to the speaker identity.

This technology is mainly solved the side effects of anti-obesity drug, including soft stoolsoily stools,regulate oil absorptionmetabolism as an additive in food. During the experiment, the curing phenomenon of MSNs/oiloily stool reduction in animal were observed. In conclusion, MSNs can effectively reduce the side effects of Orlistatelevating life quality.

Compared with the isolation areathe outdoor environment, the air pressure isolation channel is a positive pressure environment. It can completely avoid that the unsterilizedfiltered air outside the building will not enter the isolation area,perform regional protection to maintain the cleanliness of the indoor environment.

The electrochemical sensor can detect bioaminesall amino acids without chemically labeling proceduresenzymatic catalysisbe capable of performing the measurement in pH-varied solutions . The electrodes can be modified with a specific membrane for the selective detection of histamineintegrated with a separation device to perform high selective detection of multi-analytes.

The core concept of the decision support system is to establish machine learning-based predictive modelsenable their interpretability to support physicians making clinical decisions in practice. The developed technique is part of the capstone project named "Smart Emergency Department," sponsored by the Ministry of ScienceTechnology. The system comprises NTUH (National Taiwan University Hospital) EMR (Electronic Medical Record) importance analysis, accurate clinical quality indicator prediction,similar medical record retrieval. It is expected to improve the patients＇ flowalleviate emergency department crowding. It has been verified in retrospective studieswill officially enter the clinical trial phase this year.

Integrating deep learning, 3D information analysis, hyperspectral analysis, computer vision analysiscombined the multi-source images to develop fruit quality monitoring techniques, including: planting area monitoring, position monitoring, yield monitoring, harvesting time prediction, fruit maturity measurement, fruit quality testing, to achieve the goal of enhancing industrial value.

We propose a novel AI-based few-shot self-supervised learning method for automatic optical inspection image quality assessmentcomponent detection based on only few training images. Our method iteratively learns the feature representations of the components by using self-similarity of these components. With the large number of self-learned representations, the appearance variations of each component are then effectively learned in the AI model for component detectionmeasurement. The computation complexity of our method is significantly lower than that of deep learning methods.

This technology＇s nanofluid/ultrasonic atomization micro-lubrication system is different from the general micro-lubrication technology that uses high-pressure air atomization. It is first to use cavitation characteristics to disperse a small amount of nanofluid into microscopic particleseffectively disperse the bondingagglomeration of nanoparticles due to the Van der Waals force. The second stage of atomization is carried out through high-pressure air. The oil mist particles of the nanofluid can easily enter the micro-machining cutting area for coolinglubrication.

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.

The IAMA system with Automatic Virtual Metrology (AVM) technology can enable a 3D printing laser powder bed fusion (LPBF) machine to achieve the world＇s first innovative capability of online layer-to-layer quality predictionfeedback control, which improves the final product quality such as tensile strengthsurface roughnessrealize the goal of nearly Zero Defects of all products.