airaTrack is a comprehensive personnel tracking system that utilizes AI algorithms developed by our team to extract features from both the "face and figure." It generates unique biometric IDs with a recognition accuracy of up to 99%, all without the need for registering facial data, addressing privacy concerns. Capable of cross-camera searches and matching 10,000 faces per second, it significantly enhances the efficiency of traditional manual matching processes and increases search efficiency and accuracy by 97% enabling automatic path tracking of personnel in the field. The system also generates investigation reports for evidential preservation.

Our team has built predictive models based on whole transcriptome data from patients with advanced metastatic prostate cancer, focusing on two different mechanisms of action: androgen receptor antagonists and androgen synthesis inhibitors. These two types of drugs essentially offer only one chance of selection, as resistance to one renders the other ineffective. Using weighted gene correlation network analysis, we identified several gene modules correlated to specific drug responses. Then, we combined several machine-learning algorithms and constructed classification models for different drug mechanisms. Our goal is to use detection services to determine the most effective drug for patients before administration.

Jia Keng Technology has developed a unique intelligent active compensation energy storage system aimed at behind-the-meter storage solutions. Through an energy management system, it performs real-time analysis of power supplied by Taiwan Power Company and the power load of the site. The system proactively compensates for voltage and frequency, enhancing power stability and safety while preventing the impact of voltage sags or frequency instability on production and equipment. Regarding asset management functions for the energy storage system, Jia Keng uses AI algorithms to optimize battery charge and discharge management. During time-of-use pricing transitions, the system not only effectively stores off-peak low-cost electricity for use during peak times to reduce power costs, but also effectively extends battery life by 35% and improves efficiency by 15%. The key feature of this service is the "integration of power and energy storage systems." In addition to choosing traditional "purchase" or "leasing" options, customers can also opt for Jia Keng's flexible business model, "pay as you use," which reduces decision-making risks for customers and aligns with the spirit of the ESCO service model.

NCREE has developed a Hybrid earthquake early warning system (EEWS) by integrating on-site EEWS from NCREE and regional EEWS from Central Weather Administration (CWA). Within a 10 to 100-kilometer radius from the earthquake epicenter in the local region, this system can provide 3 to 15 seconds of warning time. To achieve effective alerts with the available warning time, the utilization of a Hybrid EEWS cloud platform is crucial. This platform facilitates the transmission of alerts and the affected administrative regions to various industries. Industries, in turn, leverage these alerts to develop warning systems and automated control devices tailored to meet the specific requirements of different environments. This approach aims to minimize secondary damages resulting from earthquakes, transforming EEWS beyond being notifications received Presidential Alert on mobile phones. Instead, it offers a multi-faceted alerting and disaster reduction application system tailored to different environmental settings.

By applying multiple disaster data on CIoT, including disaster warning and notification, rainfall, earthquake, regional drainage data, etc., collected from various public sectors, alongside with the on-site environment monitoring data, the data is verified and utilized by ThinkTron to develop the comprehensive All-Hazard Emergency Data Platform for the emergency response centers of some municipal fire departments in Taiwan. This not just enables the digital transformation but also boosts the digital governance. In addition, this GIS+IoT+AI integrated application is extended to smart industrial park management, helping corporate clients on achieving ESG goals accordingly by sustainable operation.

Askey’s smart 5G private network is designed for enterprise customers to build a dedicated wireless network, which integrates highly efficient 5G Small Cells, advanced 5G CPEs, self-developed 5G Private Network Management Platform (AMP), ruggedized enterprise-grade 5G Mobile Computers and 5G Cameras, and has excellent features of Low Latency, High-speed Transmission, and Ultra-high Reliability, and key benefits of Low Total Cost of Ownership, Easy Deployment and Management, and Superior Performance. It can be applied to smart manufacturing, smart transportation, smart exhibitions, smart cities, and other fields. We can tailor the network environment and continuously optimize it for customers, hence help enterprises build their 5G private networks easily and realize digital transformation quickly.

Ai +8K 3D Digital Twins Solutions The integration of AI with 8K 3D digital twin technology offers innovative solutions for the education and entertainment industries. In education, virtual reality classrooms and digital learning materials provide immersive environments that enhance learning outcomes, such as simulated laboratories or reconstructed historical scenes for firsthand experiences. In entertainment, 8K ultra-high-definition visuals combined with AI-generated interactive content create personalized virtual characters and storytelling experiences, boosting audience engagement and immersion. This technology transcends traditional content limitations, delivering more realistic and interactive digital experiences, and reshaping the future of these industries.

The Track Safety Management System is primarily aimed at addressing safety concerns along the track. It provides real-time monitoring, statistics, and detection-triggered alerts for trackside environments including stations, level crossings, along the track, and slope areas. The goal of this management system is to establish early warning alerts and prevent accidents from causing damage. Through the intelligent AIOT recognition monitoring system, it detects and analyzes station pedestrian traffic, tracks pedestrians at level crossings, identifies passing vehicles and traffic flow, detects foreign objects at level crossings and activates alarms, monitors personnel lingering and debris along the track, conducts rockfall monitoring on slopes with a rain gauge, monitors the environmental conditions in equipment boxes, and oversees the operation status of level crossing equipment. The monitoring data and image information are transmitted to the management system platform for integrated management via fiber-optic networks, NBIOT, or mobile communication. Additionally, it provides central management personnel with real-time interpretation and remote control in case of anomalies.

The Supplier and Investment Management Module is an extension of Carbon Star, allowing enterprises to manage not only their own carbon emissions but also conduct inventory and management of carbon emissions from suppliers or investment companies. The module features complete functionalities for carbon emission data inventory, registration, and management. Additionally, it offers comprehensive education and training services for enterprises regarding suppliers and investment companies. This enables enterprises to view and integrate supply chain data within the platform, and allocate and calculate data according to relevant criteria. The Supplier and Investment Extension Module includes the following functionalities: 1. Supplier greenhouse gas inventory 2. Supplier education, training, and guidance 3. Integration and management of carbon data within the supply chain

We provide a solution for integrating Internet of Things and platform systems for electric vehicle rental operators and charging station operators. This solution allows flexible configuration of management platforms and user apps, and supports third-party payment system API integrations, to create a comprehensive shared vehicle rental and charging service.

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.

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.