Breaking Traditional Boundaries: Building Urban Traffic Neural Networks Taiwan International's flagship Cloud Governance Platform completely revolutionizes conventional parking management models. The platform successfully integrates diverse smart devices including In-Ground Magnetic Sensors, Smart Parking Posts, and Overhead Camera Systems through a unified API management architecture, achieving seamless cross-brand and cross-regional data interoperability that enables cities to truly "think." "Every device serves as a crucial node in the city's traffic neural network," emphasized Taiwan International. Smart parking represents not merely a technological upgrade, but a fundamental transformation in urban governance models. Through the cloud platform's big data analytics and AI deep learning capabilities, city managers can transition from reactive responses to proactive predictions, achieving genuine intelligent decision-making.

In order to save the use of natural resources, implement resource recycling and reuse, reduce processing costs and reduce environmental load. We use the recycling processing technology to transfer the remaining cutting materials of the ALC body, as well as industrial by-products and domestic waste resources (waste glass) back to the ALC raw material for use. Actual testing of the product shows that the reuse technology is feasible, the quality is stable, and the efficiency of waste reduction and carbon reduction is high. Now It has obtained the environmental protection label from the Ministry of Environment and the green building materials label from the Ministry of Interior.

Capable of helping customers complete ISO-14064 greenhouse gas inventory rapidly and correctly, the platform offers boasts provision of real-time greenhouse gas emission data, production of lists and tables, and carbon emission forecast, , thereby assisting enterprises in planning carbon-abatement investments, attaining emission reduction according to timeline, and optimizing emission management flow.

Feature •Automatic Gain Control (AGC). •Backlight Compensation. •Automatic White Balance. •Wide Dynamic Range (WDR) function with 120dB at 30 FPS. •Night noise suppression function. •Nighttime shooting with automatic aperture adjustment. •Stable image quality during low-light shooting at night under stable external light conditions, ensuring no flicker or color rolling, and clear nighttime images. Specifications •Uses a CMOS 1/3” Image Sensor. •MAX Resolutions：2MP (1920×1080 pixels)，D1 (640x480 pixels) •Maximum Frame Rate：30 FPS @1920×1080，30 FPS @640x480 •Focal Length：2MP lens ： 2.8-12mm±5%，D1 lens ： Fixed •Minimum Illumination：Color： Below 0.06 Lux，Black：Below 0.02 Lux.

Far EasTone Telecommunications (FET) is committed to corporate sustainability and net-zero transformation. By integrating telecommunications with digital technologies, FET helps industries and society reduce carbon emissions. In the public building sector, FET is developing integrated solutions for “Net-Zero and Disaster-Resilient Energy Storage.” Combining net-zero strategies with Energy Management Systems (EMS), FET deploys renewable energy, energy storage, and smart energy-saving mechanisms. This approach balances carbon reduction with power resilience, supporting the public sector in enhancing sustainability and disaster preparedness. A key achievement is the National Taiwan Ocean University (NTOU) Gymnasium project, where FET implemented an advanced energy management platform integrating power monitoring, smart HVAC control, and renewable energy with storage systems. These efforts improved energy efficiency, provided a model for transitioning public buildings to net-zero, and earned the client Level 1+ Green Building certification. Looking ahead, FET will continue investing in net-zero buildings, energy storage, and resilient energy systems. Through collaboration with government, academia, and industry partners, FET aims to accelerate Taiwan’s progress toward sustainable development goals, advancing both net-zero emissions and disaster prevention.

Z-COM has invested in heterogeneous network integration R&D for years. Through partnership with global leading Telco operators, we’ve accumulated abundant experience in telecom system integration with Wi-Fi- extended broadband network, to offload traffic from 3G/4G mobile networks as well as providing mobile network coverage with less cost. Over the years, Z-COM’s carrier grade solutions are used to deploy massive scale of Wi-Fi hotspots and various applications for smart city. The new Z-COM carrier-grade wireless network solution introduces Software Defined Network (SDN) architecture, with Edge Computing concepts for Artificial Intelligence of Things (AIoT) applications. The solution offers higher wireless bandwidth, separates control and data plane for edge computing, that provides customized products equipments and software with compatibility, stability, scalability, and security for mobile network operators. Z-COM solutions offer best cost/performance value, with rapid deployment and easy management tools that help telecom operators reduce capital investments and operating expenses, accelerate cost recovery and increase profits.

To establish a civil participation mechanism to widely gather opinions from all sectors, the National Development Council has established the "Just Transition Commission." The committee follows a principle of equal representation between governmental agencies and civil society. Members serve a term of two years. The government agency representatives on the committee are deputy ministers from ministries responsible for the 12 key strategies of the 2050 net-zero transition and related issues of just transition. In addition, the members of the civil society include citizen groups focused on environmental, labor, and indigenous issues, as well as representatives from social enterprises and experts/scholars in the field of economic industries. The committee has four working groups: an academic group, a strategic review group, an issue identification group and an influence group. The public-private partnership will work together to promote a net-zero fair transition. Additionally, this year, multiple public consultation sessions are planned to gather current visions and expectations for a net-zero fair transition from all sectors, aiming to enhance public awareness of net-zero carbon emissions and fair transition.

The EUP Fleet Management System integrates ESG management, providing visualized reports and big data analysis to accelerate communication between the supply chain and transporters, ensuring effective ESG management and achieving carbon reduction goals. Through AI big data analysis, it automatically provides green ratings and compares carbon emissions with industry peers, enhancing market competitiveness and brand image. Additionally, cloud-based, digital, and automated management enables enterprises to easily monitor fleet emissions and develop carbon reduction strategies.

EZESG by Trade-Van Information Services Co. helps enterprises systematically complete organizational greenhouse gas (GHG) inventories in accordance with ISO 14064-1, strengthening carbon management and enhancing transparency in information disclosure. The system enables rapid establishment of an emissions source database by integrating data from energy consumption, raw materials, and operational activities. Through AI-powered OCR, it automatically identifies information from utility bills such as fuel, water, and electricity. It also incorporates Google Maps mileage calculations and taxi carbon emission models to estimate emissions from transportation activities. With built-in intelligent calculation models, the platform automatically consolidates Scope 1, Scope 2, and Scope 3 emissions data, reducing manual errors while improving data consistency and reliability. The system also supports one-click generation of GHG inventory reports and supporting documentation, simplifying procedures and shortening preparation time. Through digitalization and intelligent management, it helps enterprises respond to international regulatory requirements and steadily progress toward net-zero emissions and sustainability goals.

Across urban and industrial environments, public facilities, critical assets, and infrastructure systems are often highly complex and geographically dispersed. Even minor abnormalities, if not identified and addressed in time, can lead to safety risks and operational disruptions. The Smart Mobile Inspection System is designed to address these challenges, enabling governments and enterprises to establish forward-looking digital inspection and maintenance management capabilities. The system integrates mobile devices, sensor data, and visual information, leveraging real-time AI analysis and anomaly detection to transform potential risks into predictable, traceable, and actionable management tasks. From anomaly alerts and intelligent task assignment to on-site reporting and final verification, the platform seamlessly connects every stage of the inspection workflow, delivering a fully digital, end-to-end inspection and maintenance management solution.

Prof. Ming-Chung Chou’s Team – Intelligent X-ray Imaging System Traditional X-ray imaging depends on experienced radiographers to balance image quality and radiation dose. Automatic exposure control may misjudge patients with poor positioning or metallic implants, increasing radiation by about 20%. This study develops an AI-based X-ray imaging system with non-contact body thickness measurement. By integrating patient height and weight, the system automatically determines optimal exposure parameters, ensuring stable image quality while reducing unnecessary radiation and cancer risk.

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