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.

Key Features: 1. First-Line Local Security Protection and Control - Equipped with a trusted edge computing platform, meeting industry needs for an IoT operating environment. 2. Quality of Service (QoS) Maintenance in Emergencies - Ensures system and service operation during unexpected network interruptions. 3. Trusted and Secure OTA Update Mechanism - Guarantees stability of device updates and prevents malicious software attacks on IoT devices. 4. Secure IoT Operating Environment Meeting Industry Needs - Industrial computer-grade hardware and software integrated system, resistant to extreme working environments, stable and reliable, compatible with OCPP 2.0 industry standards.

The Ministry of Economic Affairs, Department of Industrial Technology has commissioned the Industrial Technology Research Institute's Center for Smart Sensing and System Technology to develop a "Composite Long-Term Air Quality Sensor." This sensor is capable of simultaneously measuring particulate matter (PM2.5), ozone (O3), carbon monoxide (CO), volatile organic compounds (VOC), and other air quality monitoring parameters. The sensor utilizes optical detection methods to detect concentrations of suspended particulate matter (PM2.5) and ozone (O3) in the air. Innovative key technologies, including dual-channel micro-particle sieving, micro-particle signal feature recognition, LED dynamic light source stability, and multi-environmental factor compensation, are employed to enhance the sensor's lifespan and accuracy. Furthermore, semiconductor and micro-electromechanical (MEMS) technologies are utilized to create a micro-heating chip. This chip, combined with gas nano-sensing materials and a single-chip sensing control circuit, converts the detected gas sensing resistance changes into carbon monoxide concentration values for the detection of carbon monoxide (CO), total volatile organic compounds (TVOC), and other harmful and odorous gas concentrations.

There are increasing demand for self-service and remote-control devices.Besides safety reason, it is also easier for customers to purchase tickets and obtain travel information, plus the added benefits of time saving and convenience. MiTAC’s Smart ticketing solution for tourism was implemented at “Hạ Long Bay” in Vietnam. Passengers can use self-service devices, such as the Ticket Vending Machines, kiosks and POS to purchase tickets, place orders, arrange trips and inquire for additional information. The operators can also utilize automated devices and information system to reduce human resources investment, strengthen operational efficiency, and improve service quality. In addition, the operators can utilize the data collected for big data analysis for precision marketing in the future.

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 3D display system enables us to understand the transmission processes of cross-border and local air pollution. 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, providing air quality forecasts every three hours (totaling 72 hours) for six metropolitan areas This system offers regulatory authorities up-to-date information on air quality trends in Taiwan, as well as critical data for formulating control strategies.

By the integration and utilization of IoT engineering information and sensor data about water resources management, air quality monitoring, disasters prevention and warnings…, we introduce end-to-end enterprise private networks to provide custom infrastructure systems and services for SMBs and public sectors.

As the response to pandemic and epidemic prevention effort, ARBOR combined “Infrared Thermal Imager technology” with “high performance medical panel PC”, and Recognition AI, to create LK403, Portable temperature and mask detection station.

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.

Delta’s EV charging solution utilizes the self-developed DeltaGrid® EVM, an electric vehicle charging management system for smart charging, power allocation, and charging equipment management. To avoid exceeding the site’s power limit during simultaneous charging, which could result in fines or power outages, the depot adopted a smart charging management system to effectively address power overuse and charging allocation issues. Under limited power conditions, the system efficiently allocates charging power for the electric buses and provides flexibility for future fleet expansion. To address the challenges of charging commercial fleets, the system has dedicated features that were developed for electric buses and commercial fleet charging needs, including Vehicle Identification, Site Current Limitation, Real-Time Alerts, etc, effectively enhances charging efficiency, optimizes operational benefits for electric fleets, and successfully demonstrates the transformation to the electrification of transportation.

Your 24/7 Health and Fitness Companion (1)Along with ECG and PPG sensors measuring Pulse Transit Time, Heart Rate, Blood Oxygen, sleep tracking , body harmony index, de-stress level, 14-day extra-long battery life, monitor physical condition without gap, the smartwatch which know your health better. (2)Every activity, tracked. Jogging, cycling, climbing, yoga, step counter, climbing height, Aerobic heart-rate and more. With its built-in GPS and altimeter, tracking every step of your workout no matter indoors or out. (3)Connect seamlessly with ASUS HealthConnect App, empower your life with personal health data, from ASUS VivoWatch through ASUS HealthConnect share the health records to all the family.

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.