Smart Network Management Software (NMS) – Cyber Monitor ● Provide the management ● Based on SNMP, it provides a single and friendly web interface for network admin clearly and easily to grasp the network situation. ● Automatically detect and manage network devices to monitor network performance. ● For network abnormalities and failures, automatically forward alarm reminders and dependency analysis to network admin in order to solve problems. ● Network devices are automatically discovered and managed, and the device list can serve as a baseline for inventory taking. ● Analyze network traffic to improve the visibility and management of network operation. ● Provide network security management under the SNMP architecture to avoid external malicious attacks and internal misuse. ● Flexibly define groups to improve the effectiveness of network management. ● Highly flexible and scalable, it can be customized according to the company's attributes and needs, therefore, strengthen the efficiency of network management.

Building a Intelligent Transportation Network The traffic system is the artery of an urban development. To improve traffic quality and build a intelligent transportation network, Taiwan SECOM is working with local governments to promote smart street lights. The brightness of these lights can be adjusted according to the surrounding environment, which not only conserves energy but also reduce traffic accidents caused by insufficient lighting. A traffic flow detection system can immediately analyze the traffic flow of each main path and the substitute routes can be immediately displayed on the display to effectively divert traffic flow. The geomagnetic sensor and smart parking meter will help you live occupancy reoporting and fee calculation. Smart Street Light ．Smart Lighting: adjusts brightness according to various scenarios. ．Traffic detection: optimizes traffic routing and analyzes traffic flows. ．Environmental Sensing: detects the temperature, humidity, and PM 2.5 levels. Smart Parking Meter ．Live ocupancy reoporting and fee calculation. ．Bill pringting and support third party payment. ．Significantly reduce the labor cost of road side billing by more than 50%.

In the wave of Smart City 4.0 and ESG, Jobdone helps businesses move towards net-zero construction. This solution provides a comprehensive PMIS system, completely replacing traditional paper-based operations through the full digitization of construction logs, daily supervision reports, and material inspection tests, achieving ultimate paperless office operations. Through precise data management, developers can effectively reduce material waste and waste generation caused by construction errors, reducing hidden carbon emissions at the source. Jobdone digitizes complex project permissions and processes, not only improving efficiency but also transforming every piece of construction data into carbon reduction achievements, becoming the most resilient net-zero solution in urban construction.

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.

Dr. Hung-Lung Lin’s Team – An Auxiliary Assessment System for Coronary Heart Disease Identification In response to population aging and the younger onset of coronary heart disease (CHD), this study develops an AI-based auxiliary CHD screening system integrated into a mobile app. Grounded in traditional Chinese medicine tongue–heart theory, the system analyzes sublingual vascular images using reflection removal, image segmentation, and a multi-head attention deep learning model. Users can obtain accurate, reproducible screening results and health recommendations within 7–20 seconds using only a smartphone, enabling convenient and cost-effective preliminary CHD assessment.

TBox101 RadEye PRD-ER4 monitor - Support dummy battery to provide 3V voltage for device power. - Easy to change RadEye device mode at Wearable or Standalone. - Read data from RadEye device through IR interface. - Supports VGA port output for information display - Supports data set and get operations on TBox101 via SNMP. - TBox101 is powered through the USB port.

This project integrates cable TV systems, Civil IoT, and AI video recognition technology to build smart disaster prevention and site safety services. Centered on set-top boxes (STB) and intelligent sensing, the solution focuses on bridging the gap in real-time information and safety protection for elderly and rural populations. Through its wired network infrastructure, the system developed under this project is capable of delivering real-time disaster prevention information, including earthquakes, typhoons, and heavy rainfall alerts. In addition, AI-based recognition capabilities have been integrated into the system. Currently, the system has completed event recognition functions such as parcel placement and retrieval detection. It also performs analysis of human movement trajectories and abnormal group behavior detection. In the future, the system will be further expanded to identify dangerous situations such as violent behavior. Through this project, Taiwan Optical Platform (TOP) demonstrates the potential of integrating cable television networks with AI and IoT technologies to develop a platform for smart disaster prevention and public safety applications.

This service utilizes Measurement While Drilling (MWD) technology to collect critical subsurface information in real time during the drilling process, helping to monitor formation conditions and ensure construction safety. By providing immediate feedback from measurement data, drilling parameters and operational strategies can be dynamically adjusted, reducing unforeseen risks and improving drilling stability. The MWD data also serves as an essential basis for subsequent analysis and engineering decisions, enhancing overall decision-making quality and operational efficiency in drilling operations.

1. Directly driving fans with a motor increases transmission efficiency and highlights the superiority of direct drive systems over traditional transmission systems, especially when combined with a variable-speed control mechanism and at lower rotating speeds. 2. The absence of mechanical components in a direct drive system eliminates the need for regular maintenance of the reducer, gearbox, and transmission shaft, as well as reduces the risk of oil leaks. This results in lower maintenance costs, longer product life, and reduced operating costs for customers. 3. Installation of TECO's proprietary inverter for cooling tower can reduce operating noise, buffer activation, and lower mechanical impact. 4. A 30 kW motor in constant-frequency operation can reduce total operating costs by up to 18% over a five-year period.

An acceleration platform that provides AI partners with comprehensive upgrades in technology, products, and markets. Since 2021, Taiwan AI Cloud has launched the “AIHPC Accelerator” to foster a collaborative AI ecosystem. The AIHPC Accelerator program is designed to support AI startups in matching with smart application scenarios and commercializing their products. By complementing the roles of third-party accelerators, incubators, and startup support centers, Taiwan AI Cloud provides a comprehensive business development platform for Taiwan’s AI startups. Within just one year, the program achieved outstanding results, signing partnerships with more than 60 startups.

SEO is dead. GEO is the future. Consumers no longer click links — they ask AI for answers. Will your brand show up? Citora.ai is a Generative Engine Optimization (GEO) platform built for the AI era, ensuring your brand gets mentioned and recommended by ChatGPT, Gemini, and other AI engines. Our proprietary Generate-Test-Optimize loop automatically translates your content into AI-native language, monitors your brand's visibility and ranking across AI engines in real time, and tracks competitor movements to deliver precise optimization strategies. In the world of AI, citations build trust, and recommendations drive traffic. Citora.ai helps you capture the AI search advantage — and stay ahead.

Criminal and street violence cases will affect and cause panic to citizens. In order to diminish street violence cases, reducing the time to solve these cases, protecting citizens’ lives and properties, and allow citizens to live without fear, the Kaohsiung City Police Department (KCPD) built the “3D Street Violence Early Warning, AI Intelligence Collection and Integration Platform” (hereinafter called “the Platform”). The platform utilizes the Internet of Things (IoT) to combine AI image recognition and sound sensing technologies for cross-domain big data analyses. KCPD established cross-platform data interfacing and integration, mainly through “data integration” and “network analyses” to collect with the municipal government’s transportation bureaus and social bureaus; and import existing data from the KCPD data platforms. The Platform will, through web service API, (a) retrieve data built by information systems, (b) conduct big data analysis, aggregate applicable intelligence data and present it in the form of dynamic information, (c) Integrate all information and display it as maps and topologies, improve case handling efficiency. According to KCPD employees’ query, they can adjust factor weights and relationships. Analyze the results based on rational mathematical models and professional case-handling concepts, so that intelligence analysis goes beyond the limitations of platform developers and allows criminal police to maximize their capabilities.