This technique employs AIbig data analytics to precisely forecast cooling load demandestimate efficiency of different chiller combinations. Time-of-Use Pricingoptimal chiller load interval are also considered for practical needs. Decision supports of optimal chiller configuration are provided to enhance energy conservation.

The Hospital has been investing in rural health care for a long time, providing community intelligence testing equipment on the health care side, providing health care workers to take the measuring equipment with them for real-time measurementdata uploading,providing home physiological measuring equipment, allowing people to take measurements at homeupload the values to the system immediately to achieve personal health management functions. It is hoped that this will reduce the workload of the health center staffprovide interactive health care services to local residents.

We developed a biomimetic triple-antibody-immobilized magnetic fucoidan nanomedicine as a multifunctional artificial antigen presenting cell, which possessed the ability to not only inhibit immune checkpoint but activate tumor infiltrated T cells. of Bridging sites with tunable density on the nanoplatform was designed, allowing the antibodies to be well-distributed on the surface for mimicking immune cells. In contrast to the complex cell expansion process using microbeads in adaptive cell therapy, the nanoplatform can be i.v. administrated to cut the course of therapy from several weeks to days. With the development of the platform technology, an artificial immune system family can be built to pave the way for personalized immunotherapy.

Our team integrates microwave engineeringtraditional textile technology to develops a new microwave dyeing technologyequipment that can quickly dye without heating with a boiler for synthetic fiber. Therefore, it can achieve zero exhaust emissionsshorten the dyeing hours. This technology is highly compatible with most fabrics on the marketup to 4000 dyescolors. In addition, it can build a green supply chain reputation for the textile dyeingfinishing industrymass-produced textile dyeingfinishing technology.

The research topics include advanced power supply, energy storage techniques, electromechanical integration, electric vehicles,power system control. Based on the existing researchdevelopment foundation, focusing on energy conversion efficiency, high-voltage charging (fast charging), device miniaturizationlight weight, smart power management solutions, etc., with lightweight materials. Develop a power management solution to instantly monitor the power statuscharging device. The application of management to achieve the vision of a smart city.

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.

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.

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.

A methodsystem for managingrecording children health information are provided. The method includes: obtaining children information, using the guidance of health-care,adding the children information into a database of a serverproviding the database for a user to access, modifyprint.

We developed Polypyrrole (PPy) based NIR-photothermal related platform technologies. This photothermal driving hyperthermia carrier systems are biocompatible are able to possess versatile functions in anticancer, antibacterial, thrombolysis, wound-healingsuppression of inflammation related bioengineering potential applications. These innovative works shed light on the efficacy of combining photothermal-performance with translational manner in biomedical, clinicalindustrial designs.

With the astronomically growing trade flows, customs administrations need effective and explainable methods to detect suspicious transactions. This project presents a novel artificial intelligence-based model named DATE that ranks trade flows in the order of fraud risk and to maximize customs revenue. We confirm the superiority of DATE over state-of-the-art AI models, with a remarkable precision of 92.7% on illegal cases and a recall of 49.3% on revenue after inspecting only 1% of all trade flows. Predictions of DATE are also interpretable from the attention mechanism. We are deploying DATE in Nigeria and Malawi Customs Services, in collaboration with the World Customs Organization (WCO). DATE has been published in ACM KDD 2020, which is an AI top conference.

We propose a spatial-temporal inference model, which uses a large amount of spatialtemporal data in the city to help governmentsenterprises predict future long-short-term important urban indicator values, such as traffic flow, human mobility, pollution level, number of criminal caseseven commercial profitability. The SIM model exploits IoT to integrate multiple real-time geospatial big data, including population, the flow of people, geographical data, Traffic,real-time sensor values. SIM can make effective predictionsprovide explainability for making decisions.

Inorganic porous nanofibers with surfaceinterface defects are prepared through humidity-controlled electrospinninghigh-temperature annealing technology. Under the irradiation of light sources of different wavelengths (380~780 nm), the bound electrons stored in the valence band can be excited to the conduction band to form free electrons on the surface of the material, generating different intensities of microcurrents, light sensitivitymicrocurrent changes. Because the "inorganic nanofiber" technology has high uniquenesshigh product compatibility, it can be applied to a wide range of markets.

Inorganic porous nanofibers with surfaceinterface defects are prepared through humidity-controlled electrospinninghigh-temperature annealing technology. Under the irradiation of light sources of different wavelengths (380~780 nm), the bound electrons stored in the valence band can be excited to the conduction band to form free electrons on the surface of the material, generating different intensities of microcurrents, light sensitivitymicrocurrent changes. Because the "inorganic nanofiber" technology has high uniquenesshigh product compatibility, it can be applied to a wide range of markets.

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.

"1. Apply big datasmart integration technology, extend the high quality healthcare of a medical center to remote areas through the application of modern internetcommunication technologies.establish a systematic service support model. 2. Establish a personal medical record platform for holistic health care based on international medicalhealth data exchange standards. 3. Acquire data through wearable devices, combined with key technologies such as cloud storage, big data analysis,integrate health care Information Network for Telehealth careTelemedicine."

Nanopharmaterial is a term by combining pharmaceuticalmaterial via nanotechnology. Here we demonstrate this concept by developing a novel nanopharmaterial, so called 177Lu-Gold nanostar (AuNS). 177Lu is a therapeutic radionuclide emitting moderate-energy beta particles as well as gamma rays for SPECT/CT-based imaging diagnosis. Nanostar can target tumors by enhanced permeability retention (EPR) effectsowns the photothermal therapeutic potent. The core technology is to integrate radionuclidenanomaterial to perform a new radio-nanopharmaterial for tumor target theranostic purpose.

We propose a semantic-guided framework (FashionOn+) that generates image-based virtual try-on results with arbitrary poses. FashionOn+ contains three stages: (I) conducts the semantic segmentation to have the prior knowledge of body parts for rendering the corresponding texture in stage (II). (III) refines two salient regions, i.e., faceclothes, to generate high-quality results. With the novel architecture, we win first place in the Multi-pose Virtual Try-on Challenge in CVPR, 2020. Further, we tackle the low-resolution limitation (256x192)achieve high-resolution results (640x480).

Our technique combines the use of LOD2TMY3 datatake metropolitan area as the case study. We demonstrated that accurate rooftop solar power potential can be approached for solar power developing evaluation by importing solar irradiation, inclination, shadow covering information based on simulated but accurate building environment. Our technique enables a scientific approach for supporting future solar energy planningdevelopments.

This technique employs AIbig data analytics to precisely forecast cooling load demandestimates the efficiency of different chiller combinations. Time-of-Use Pricingoptimal chiller load-interval are also considered for practical needs. Decision supports of optimal chiller configuration is provided to enhance energy conservation. Moreover, using real data feedbackmodel health examination, the model can do self-calibrationmake evolution, continuously learn from the experts,provide decision supports in good quality.

This technology aims to automatically extractdefine features from a data-driven perspective through a series of data engineering, machine learningensemble learning technologies via the big data collected from equipment sensorsquality characteristic measurement results. For products that have no quality measurement, a virtual metrology resultpredicted confidence score are provided as a decision-making basis for process control.

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.