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 However, these systems have been in use for over 20 years, and the data they are based on is outdated.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.

StarTrust System boasts a proficient team of consulting experts, each holding certifications in ISO 14064-1, ISO14067, ISO 50001, ISO 14001, SBTi, GRI Standard, and other relevant standards. We offer comprehensive guidance services encompassing greenhouse gas inventories (ISO 14064-1, GHG Protocol), carbon footprint assessments (ISO 14067), and advisory support for international initiatives such as CDP and SBTi. Additionally, we provide consultancy expertise in ESG report preparation, energy management, carbon neutral, and carbon reduction strategies. To ensure data integrity, our consulting team at StarTrust System adopts systematic management practices. We meticulously organize activity documents, regulations, calculation parameters, and other pertinent data, ensuring timely updates to adhere to the latest regulations and calculation methodologies. Our approach mitigates complexities and minimizes the risk of errors in enterprise reporting operations. Our services include: 1. Comprehensive guidance on ISO 14064-1, GHG Protocol, and related assessments. 2. Expert support for ISO 14067 product carbon footprint assessments. 3. Advisory services for implementing ISO 50001 energy management systems. 4. Analysis of carbon emission data reports. 5. Assistance with international initiatives such as CDP and SBTi. 6. Professional preparation of ESG sustainability reports.

Powered by AI, this platform provides businesses with compliance management, risk intelligence analysis, and data-driven sustainable supply chain resilience, enabling them to effectively manage their supply chains.

【Taipei Main Station Navigator APP】 Taipei Main Station covers four major railway systems: Taiwan Railway, Taiwan High Speed Rail, Taipei Metro and Taoyuan Metro. The complexity of the internal route has led Taipei Main Station to be dubbed the largest underground maze in Taiwan. Not only are outsiders prone to getting lost, but Taipeiers are not even aware of it. We launched Taipei Navi App to private the function of Indoor navigation, tasty food and shopping, intelligent parking, and push notification. It's easy for people to know where they are and find their destination 【Taipei Songshan Airport】 The Airport Terminal Building is 61,000 square meters. Managers take time to confirm position and execution status when assigning tasks and events. With this Staff Positioning and Dispatching System, managers can assign work. Employees see the location and content and can report the status of completion on the system. The manager can check whether the employee actually arrived at the given location.

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

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.

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.

PALF is committed to developing eco-friendly textile products by using recyclable, zero-carbon emission agricultural waste "Pineapple Leaf" to establish the first localized sustainable yarn and fabric pilot production line in Taiwan. We promote the recycling of waste materials to create a more environmentally friendly, sustainable textile and fashion industry.

Focusing on developing and enhancing green competitiveness, we aim to provide three key ESG digital transformation solutions for traditional manufacturing industries: a carbon inventory system, machine predictive maintenance, and electrical safety monitoring. By integrating Taiwan's 5G networking industry, IoT-related sectors, and information technology companies, we are collaboratively developing a 5G smart manufacturing AI-enhanced energy efficiency platform. Using real-world case studies, we aim to initiate innovative vertical application model cases for 5G and AIoT industrial safety. With an open and collaborative technology platform, this initiative seeks to establish a representative example of 5G and AIoT industry integration and clustering in Taiwan

This project establishes a 5G private network in rural Tainan schools, introducing AR/VR gamified English teaching. Students engage in scenario-based games, simulating English conversations in virtual reality, fostering entertaining and interactive learning. The curriculum incorporates famous global landmarks and utilizes AR technology for checkpoint missions, enhancing student interest. Beyond English education, the initiative collaborates with the National Palace Museum, integrating AR/VR historical artifacts. Using 5G streaming, historical content is seamlessly integrated into campus teaching. The project not only enhances learning outcomes in rural junior high schools, reducing the urban-rural digital gap, but also has the potential for nationwide expansion. Through cross-disciplinary collaboration, it drives the development of both horizontal and vertical industry chains.

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.

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