Currently, the prognosis of critically ill patients in the intensive care unit (ICU) is often assessed using the APACHE or SOFA scoring systems to predict mortality rates. However, these systems have been in use for over 20 years, and the data they are based on is outdated. Today, clinical data is more abundant and precise, and advancements in machine analysis capabilities have made traditional scoring systems insufficient for meeting the demands of accurate predictions and personalized medicine. To address this, our team has developed a survival prediction device for critically ill patients. Using an AI algorithm model, it utilizes clinical data such as physiological, laboratory, and examination results to predict the patient's survival rates for the next 30, 60, and 90 days, providing a more accurate reference for prognosis assessment and medical resource allocation.

WeatherRisk provides tailored energy forecasting solutions for the energy industry, including: 1. High-resolution, bankable historical data (metocean, solar irradiation) 2. Weather forecasting systems for O&M (offshore wind farms, solar assets) 3. Solar power forecasting (solar assets and grids) 4. Wind power forecasting (wind farms and grids) 5. Load forecasting Energy forecasting has a wide range of applications in the energy industry: • For FTM (front-of-the-meter) power dispatch, ancillary services, asset evaluation, and PV-Storage. • For BTM (behind-the-meter) virtual power plants, microgrids, renewable energy trading, as well as strategic support for energy market operations.

The system can be connected to IoT devices in series, and the devices can be operated and monitored remotely. The corresponding data of the devices is available on the website to meet the living needs of tenants and landlords.

ASUS Ultrasound Imaging System is a software based ultrasound solution enabling qualified and trained healthcare professionals to visualize anatomical structures and fluid. Easy-to use interface and handheld availability meet requirements of use in clinical purposes and home/ community healthcare environment. (1)Imaging Modes:B mode, M mode, Color Flow, Power Doppler, PW Doppler. (2)Probes: Linear, Convex, MicroConvex, Phased Array, Endocavity. (3)Battery continuously operating time up to 4 hours.

The light rail transit (LRT) system could improve capacity of mass transit. However, most of the accidents occurred because road user run a red light, which affected LRT passenger rights. ž Using lidar/radar to detect the collision event may occurred. (reference the signal phase) ž Notify LRT driver the predicted event by C-V2X V2N solution. ž Outdoor N79 5G private network.

Combining with barometric pressure MEMS (microscale electro-mechanical systems) modules and low power characteristic, the sensor is suitable to monitor and measure water levels of drainage, sewer systems or inundation depths. Having high accuracy, low power consumption and lightweight, the product can be easily installed and maintained. It has the feature and functionality of acquiring real-time data from fields for further analyses, computing and modeling applications.

Taiwan Instrument Research Institute (TIRI) of the National Applied Research Laboratories , as a incorporated foundation , collaborates with outstanding domestic academic teams to jointly develop advanced microchips for air quality sensors. Our mission is to achieve real-time monitoring of air quality in daily life and provide accurate alerts and information to the public. Through the collaborative research and innovation of industry, government, academia, and research, the ultra-miniaturized design of the sensor system is not only the culmination of locally developed independent technology but also a dedication to public health. We can sensitively capture subtle changes in the air, providing real-time information on air quality conditions. Empowering you to understand your surrounding environment and take timely actions, our sensor ensures a breath of fresh air and a healthier lifestyle. We are committed to creating a world of air quality filled with wisdom and care.

The system developed by this project provides a smart solution for station including digital fence system, platform pedestrian flow analysis, animal tracking expelled system, track water situation analysis system and platform digital information signage. The platform comprehensively analyses the image of around the station, train coordinates, passenger entry and exit, and water depth etc. Which can be used for follow up review and improvement of abnormal events such as track intrusion, crowd congestion and road flooding to achieve optimal train operation configuration and class spacing control. And provide abnormal event warning and troubleshooting and passenger intelligence information services. After the integration of multiple subsystem through the IOC platform, the system will automatically alert an alarm to the traffic control center and announce the train near the area to remind the driver to pay attention to the situation and enhance the safety of the train and the people or cars in the area when the detection system alarms.

Building Solar Sports Field, not only enhancing green earth idea, but also encouraging student regular routine and interesting of exercise to engage ability and attitude in physical activity life . ◎ Spec & layout of Solar Sports Field 1. Two Standard Basketball Court can set up 210.6kWP Solar Sports Field. 2. All structure of Sports Field layout should follow on National Earthquake & Wind Resistance Design Specifications and Commentary of Buildings regulation. ◎ Benefit of Solar Sports Field 1. For school, premium income without investment / extra outdoor space within raining weather 2. Each 210.6Kwp Solar Sports Field can generate 270 thousand Kwh / per year (Avg. DMY 3.5) and decreasing 149 ton Carbon. 3. School and Solar Developer will cooperate on Solar Sport Field to achieve Industry-Academia collaboration and Win-Win benefit.

The application of digital twin technology in building smart cities is becoming increasingly clear, serving as a crucial engine for driving urban transformation. In the development of smart cities in recent years, citizens can view the growth and development of the entire city, including population growth, new construction, and other major activities, in a 3D format, gradually emphasizing the concept of a virtual city. Digital twin technology can simulate disaster scenarios, including weather events and traffic accidents, assisting disaster response personnel in rapidly understanding the situation and optimizing the efficiency of disaster response. In recent years, with the advancement of aerial photography, simulation technology, and computing resources, The National Science and Technology Center for Disaster Reduction has leveraged advanced technology to create a mountainous flood inundation model system. This system enhances disaster warning and impact analysis, providing a comprehensive view of vulnerable settlements. It utilizes dynamic models and virtual-real integration, presenting alert information and disaster impacts through visual elements, contributing to informed decision-making in disaster situations.

Integrating RPA, Generative AI, Machine Learning, and Process Management technologies, we provide manufacturing solutions to address supply chain communication, timely business delivery responses, on-site scheduling optimization, order insertion issues, new employee training, and corporate administrative problem-solving.

AQUAS Solution of high cost-effective smart monitoring for effluent water quality and flow volume. We provide an excellent product portfolio, including multiparameter water quality controllers, radar flow meters, and water quality analyzers, which can accurately and stably monitor the quality and flow of the effluent in the long term. Ensure the water quality compliance with the regulations and standards to reduce environmental pollution.