The Central Weather Administration (CWA) is the government agency responsible for earthquake monitoring and reporting in Taiwan. In order to reduce fatalities and property losses caused by earthquakes, a high-density real-time seismic network and the advanced earthquake early warning (EEW) system have been implemented and in operation. Currently, the CWA EEW system can issue the warning message in about 10 seconds after a strong earthquake occurring in or very near Taiwan. Starting from 2021, in order to further enhance the benefit of EEW to the practical earthquake hazard mitigation, the CWA has begun to develop the customized urban EEW system. By means of introducing the on-site earthquake early warning methods, and developing the artificial intelligence models. The systems, particularly for the big urban shallow earthquake, aim to further shorten the time of EEW to 7 seconds. That means it can give warning to the areas about 25 km away from the epicenter, and more people could be alerted before the destructive shaking.

FET has been investing in the development of IoT applications for a long time and assisting Taoyuan City to become the first city in Taiwan which adopts large-scale intelligent lighting system and LED street lamps. FET has also integrated 5G and AI technology to launch the "5G Smart Pole" solution, providing a variety of smart application services and accelerating the transformation of Smart City! Features * Smart pole can combine Digital Signage, IP camera, high efficiency street lamp, Roadside Unit, 5G Small Cell and EV charger * Base on 5G smart pole alliance standards

This exhibition is an atmospheric physical-chemical grid model for prediction of changes in air quality, utilizing data from the U.S. NCEP global weather forecast and regional air pollutant emissions. Local scientific investigation data has been used to adjust and calibrate the model and thereby largely improve the accuracy of the air quality forecast over Taiwan. The system is capable of simulating the changes in air quality over the next three days (72 hours) in Taiwan, with a temporal resolution of 1 hour and a spatial resolution of 3 km. The simulated data can be integrated with air quality data from the Civil IoT Taiwan, informing regulatory authorities the changes in air quality for the near future, and key information for formulation of control strategies

-)Mainframe monitoring system, maximally supporting one million spots in real time. -)Smart loading balanbe for AOS -)Remote backup for AOS -)Adjudge amount of AOS as required, based on flexible structure. -)Central security management.

Blepharoptosis refers to the weakening or loss of the Levator muscle of the upper eyelids or Muller's muscle function, resulting in the pupil (iris) being covered by the eyelid, thereby affecting the visual field and appearance. The conventional ptosis assessment is considered a subjective, unreliable, and invalid method as a manual measurement and evaluation of various parameters are performed by doctors using a measuring ruler. Hence, it is difficult to judge and evaluate the benefits of diagnosis and treatment before and after surgery. The Automatic Blepharoptosis Detection System (ABDS) is an automated image measurement equipment featuring clinical objectivity, accuracy, and consistency. It can accurately detect and record all kinds of blepharoptosis parameters, as listed below, that helps doctors to assess the severity of blepharoptosis, and further determine the treatment method. ABDS provides objective information when applying for health insurance benefits. It can also be used as a convenient tool for face-to-face communication with patients and their family members. The most important is that ABDS establish a standard procedure for diagnosis and treatment of blepharoptosis.

LILIN developed a specialist AI platform to recognize mask wearing behavior, monitor social distancing, and calculate the current capacity of a building to limit internal people density. - LILIN’s temperature measuring camera is a dual-lens camera with two sensors to detect high temperature and reduce false positives by only recognizing and measuring face temperature. - Using LILIN’s Aida AI system and NAV server, the solution can recognize if the person is not wearing a mask or wearing mask incorrectly and integrate with access control. - LILIN’s Aida detection system can calculate the social density of a location and provide alarm notifications if the area exceeds its density threshold.

New and improved drugs have been developed for treating different stages of prostate cancer. These drugs can extend the time people with prostate cancer live, but over time, some patients develop resistance to them. The goal of this research is to identify gene signatures for good and poor prognosis through customized Affymetrix transcriptome chips in a fast and highly reproducible manner. Prostate cancer patients from different medical centers were studied. A customized Affymetrix transcriptome chip was used in the analysis of blood samples before, during, and after drug treatment. By examining the patterns of gene expression and using various models, key genes related to drug response were identified. With this information, an online tool was created to recommend the most effective drugs for individual patients based on their genetic profiles.

VR environment that covers the terrain and seabed features of this world can be created easily in a short amount of time. Various VR environments and models including FBX models can be downloaded from the FORUM8 Web Server DB. The software supports the import/export of BIM data. Equipped with an ability to generate road alignments, cross sections, terrain, and the ability to position models and assign traffic and generate traffic movement within VR space; the software can help you give a real-time presentation for comparing design alternatives and stakeholder consultation as the Visual Options tools and presentation features will do all the tricks. As various types of high-level real-time simulation including driving simulation, daylight simulation, and traffic simulation are feasible, the software makes the lives of all engineers engaged in the work of design, development, and research easier.

-) Prognostics and Health Management -) AIR & Expert Assist -) AIR Design Builder -) AIR Quality Check -) AIR APPs in Cloud

NTPD established the first drone team for police on September 26, 2020. It has broadened our all-round 3D technology security circle coverage through its air superiority, enables chain of command fully aware of on-site situation. So far there are 18 members acquired professional operation license of group 1 or 3 issued by Civil Aeronautics Administration, MOTC R.O.C. It allows us to perform different tasks under diverse situations like public security, traffic report, administrative inspection, etc.

1. Economic line: outdoor bullet IP cam. Model No.: AH65C6D - Successful Case: Installed in "Taoyuan Shalun Industrial Zone" for offshore. - Sony Starvis™ sensor, 2MP, 5MP, 4K resolution available for selection - Different angle lens are available. Smart IR LED range is up to 30meter. - Edge AI including person detection as virtual fence, vehicle Detection - Aluminum die-cast chassis with stainless steel screws. IP68 certification and base on project requirements to provide salt corrosion resistant treatment on casing.

The moisture content of rice (GMC) is a crucial factor influencing selling prices. However, due to the difficulty in predicting GMC using traditional methods, farmers often resort to early harvesting to mitigate risks. When the GMC deviates from the ideal value by 5% due to premature harvesting, the price difference can reach as high as 160 yuan per hundred Taiwan catty. Early harvesting not only impacts farm profitability but also leads to significant carbon emissions downstream in the industry chain, hindering exports. To ensure rice is harvested at the optimal price point, EMCT has developed the Rice moisture AI meter — a rice moisture content prediction online service that rivals the precision of laboratory instruments while being user-friendly for farmers. By simply capturing images of rice ears in the field with a smartphone, farmers can obtain GMC information within 1 minute and receive optimal harvesting schedule recommendations!