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.

Smart G4O Quick Map Platform Technical Features • Web GIS Studio WYSIWYG(No code/Low code) interface for accelerated design workflow. • Seamless 2D/3D Immersive Digital Twin applications. • Integrated Multi-Service Support Compatible with OGC, ArcGIS, and MapGuide spatial services. • Advanced GIS Layers Built-in layer settings and searching mechanism for autonomous management. • Component Expandability Supports AR, AI, and other application modules to enhance functionality and application scenarios. • Interactive Map Dashboard Real-time synchronization of IoT data with map areas, suitable for dashboards. • RWD+PWA Design Mobile-first approach with smart tables ensuring high readability across devices. Supports cross-platform access and offline spatial data and map.

As solar generation applications continue to evolve, ensuring stable equipment operation and maximizing generation efficiency have been a main concern for owners. The platform integrates AI-driven O&M technology with precise data analysis to provide comprehensive equipment monitoring, real-time anomaly detection, and intelligent maintenance recommendations. This reduces operational costs and significantly enhances overall power generation efficiency.

With the rapid growth of electric vehicles (EVs) in Taiwan, the demand for charging infrastructure is increasing. However, most developments focus on high-power DC fast charging systems, which face significant challenges. Complicated feeder application procedures and imbalances in urban power grids make it difficult to deploy medium and large-scale charging stations. While AC chargers (up to 22kW) are easier to install, they fail to meet the need for fast and efficient charging. To address these challenges, GREAT introduces the "Charging Silk Road" solution. This innovative system combines advanced energy storage systems (ESS) with fast charging equipment to enable independent power supply and reduce reliance on the public grid. By integrating renewable energy sources such as solar and wind power, the system maximizes energy efficiency and sustainability. Additionally, the solution features Vehicle-to-Grid (V2G) capability, allowing stored energy to be fed back to the grid during peak demand or emergencies, supporting grid stability. Through a distributed, multi-site deployment model based on independent microgrids, GREAT’s Charging Silk Road creates a flexible, resilient, and efficient green charging network, accelerating the transition to net-zero carbon emissions.

Enables real-time patient monitoring, personal big data analysis, and machine learning for future AI Medicine applications.

This project uses the 阡陌(QianMo) System, which drawing the road profiles, markings, signs, and signals based on the road geography data as a universal base map, to integrate cross-domain digital applications. Besides, 阡陌(QianMo) System has developed an application on mobile phone, through this application, user can complete the case opening, drawing, conversation recording, and photo-taking operations on-site, and convert the accident cases into collision elements in accordance with time, vehicle type, direction, collision type, and number of casualties. On the other hands, when handling improvements for accident-prone intersections, 阡陌(QianMo) System can overlay the elements to implement the collision composition analysis serves as a scientific proof and visualization tool for researching traffic improvement measures and explaining accident risk hotspots. Besides, after the subsequent engineering improvements, user can provide revision of road geography data as the feedback. Through this mechanism, which can achieve a digital governance cycle. Finally, through 阡陌(QianMo) System , this project integrates cross-domain applications related to police administration, transportation bureau, and engineering industry to improve driving environments and prevent traffic accidents.

Vertex’s team members have 25 years of experience in the mobile communication industry, and have a strong 5G mobile communication network technical team to provide E2E complete 5G private network construction services and solution, including: private network planning, private network application assistance, PN installation and construction, vertical application integration service, and system maintenance, etc. We also have consulting capabilities to assist customers in various industries to quickly import 5G private networks and related applications to increase corporate value. At present, it has experience in the actual construction of multiple 5G private networks, such as smart exhibitions Events and smart factories. Smart transportation, construction R&D, ORAN interface services, etc., can ensure the success of the project and implement the enterprise's goal of building a 5G private network.

CMS-WS Powerful digital signage server to give you maximum flexibility on the choice of media players! One for All, All with One With one CMS-WS, you can transform all your personal computers, notebooks, tablets, mobiles, etc., into digital signage players to strategically deploy customer touchpoints for different applications. Moreover, CMS-WS allows you to remotely manage up to 1000 devices through a simple and easy-to-use web interface. Small Budget, Big Result Compared to other cloud-based CMS software, you can spend less but benefit more from CMS-WS software. With CMS-WS powerful features, you can create a more personalized, more informative, and more memorable experience anytime, anywhere to maximize engagement with target audiences. CMS-WS is the most cost-effective solution for retail or small and medium-sized businesses to get big results from a small budget!

ARBOR’s smart medical wristband efficiently improves body temperature monitoring to tolerance within ± 0.1°C. With MediaTek’s IoT platform integrated, the wristband provides health condition information to be uploaded to synchronized with smartphones and the regional epidemic prevention system in real time so that patients’ vital signs can be monitored instantly and precisely. Collect the data on disease carriers and its environment, it can analyze patients’ medical and health information, and send the information to the patients and medical professionals. The public can also then receive the warning for diseases or epidemics.

Wave guide photovoltaic energy harvest system provides 75% more power than traditional solar panel. Highly decreasing cost of maintenance and set up. Waveguide owns unique talents of easy shapeable, colorful, and scattering light collection, which can help PVs to be lightly integrated into devices and create an energy-smart sustainable future.

We offer comprehensive ODM services for integrated AIoT elevator applications, supporting clients from design to mass production in creating customized smart elevator solutions. Our services include hardware design, software development, and third-party system integration to meet diverse application requirements. With our ODM expertise, clients can launch innovative products quickly, reduce R&D costs, and enhance market competitiveness.

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.