With the emergence of technologies such as 5G, the Internet of Things, Artificial Intelligence and Cloud Computing in recent years, the server industry has experienced explosive growth. In line with the two major trends of "software definition" and "open standards," private industry and governments are collaborating to promote numerous high-tech research projects and the development of critical technologies. As the cloud industry chain continues to evolve, the annual power consumption of data centers, which are made up of numerous individual servers, increases greatly. Consequently, the effective thermal management of servers and data centers has become an increasingly crucial issue.

CarbonClean Energy’s CO₂ electrolysis equipment E-Oak utilizes proprietary electrochemical conversion technology to directly transform carbon dioxide into high-value chemicals such as carbon monoxide, ethanol, and ethylene. This enables waste-gas reutilization while creating additional economic value. Unlike thermochemical carbon utilization processes that require high temperature, high pressure, and hydrogen input, E-Oak operates under ambient temperature and pressure. It only requires carbon dioxide and water to drive the conversion reaction, providing enhanced operational safety. In addition, E-Oak synchronizes operational data with the cloud, allowing users to remotely monitor equipment performance. Its automatic equipment diagnostic reporting function further facilitates smarter carbon management.

The device incorporates cutting-edge Edge control technology and is compatible with various sensors. • Independent Operation The device can operate independently even when powered off or disconnected from the network, ensuring continuous operation and functionality. • Remote Firmware Update and Configuration It allows for remote updating of firmware and configuration settings over the network, enabling easy maintenance and optimization of the device. • Data Storage and Transmission The device is equipped with capabilities for storing and transmitting data, facilitating the collection and transfer of information as needed. • LED Indicators The device is equipped with LED indicators for power and communication status, providing visual feedback on its operational status. 1.Model No: AIOT-C01 Fog Detection Controller Application Scope: Mountain Roads, Railways, Highway, Airport, etc 2.Model No: AIOT-C02 Rainfall Detection Controller Application Scope: Mountainous Area Water Level and Rainfall.

DeltaGrid® low-carbon emission energy solution focuses on the four major perspectives of energy creation, energy storage, energy control, and energy saving. It integrates solar energy, energy storage, EV chargers, energy management, as well as energy saving software and hardware products to provide a practical transformation solution that helps strengthen grid resilience, optimize energy dispatching, enhance renewable energy utilization, and achieve cost and energy saving, carbon emission reduction, and net zero sustainability goals. The solution is for four major areas, including power plants, industrial and commercial factories, electric vehicle charging stations, and community residences, so that renewable energy can be stably connected to the grid, stabilize the electricity consumption of industrial and commercial factories, and improve the operating efficiency of charging stations.

IISI has a number of solutions for smart image processing, the main application areas are smart transportation, smart disaster prevention, security monitoring, etc. The main products include iTrafficView and iSurveillance. iTrafficView is a server-based image recognition detection system that receive real-time video streaming from on-site network cameras and instantly performs image recognition and event detection to provide monitoring services immediately. Furthermore, the system records related identification and detection data for consecutive statistical and analysis procedure. The advanced hybrid DVR and intelligent management platform offers a one-stop solution to enhance both analog, digital, and IP convergence. "iSurveillance" is an intelligent Hybrid DVR that supports analog and IP cameras. It applies the ASF compression for efficient data management, flexible and compatible with various brands of surveillance devices.

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.

Smart Multifunctional Periodontal Pathology Quick Screening System (SMPPQSS) is the first product able to automatically identify the position of teeth and then to calculate the distribution area of dental plaque simultaneously. The system also provides a new painless gingivitis examination method that could relief examining discomfort. Neither the need of the plaque disclosing tablet nor a probe to penetrate into the patient’s periodontal pocket to determine the degree of periodontitis. Once all tooth-related data is automatically filled into the periodontal digits, the medical record sheet is uploaded to the system directly. It shortens the process to less than 10 minutes, greatly reducing the discomfort of patients during the examination as well as shortening the time doctors need to diagnose and record. SMPPQSS is easy to operate and portable. Dentists or dental assistants can check periodontal health quickly with no restriction of facilities, patients can receive a more convenient medical care even in remote rural areas or at home, or with limited mobility.

Taichung City has deployed 1,220 air quality sensors, utilizing IoT and AI learning, along with a geographic information system to visually present real-time sensor monitoring data.By leveraging big data analysis, pollution hotspots and peak pollution periods are identified to assist environmental agencies in smart law enforcement. Additionally, cross-department collaboration is implemented for environmental governance, employing intelligent technology management for air quality control. The integration of unmanned aerial vehicles (UAVs) further enhances pollutant sampling efficiency.

Smart parking EV charger combines smart parking and charge service to provide total solution for roadside and off street parking. Integrates with license plate recognition system, it not only issue parking ticket, but also reduce occupation of fossil fuel vehicle and prolong parking with parking space barrier or other solutions. With smart card, the drivers do not require membership for charge and parking service.

Knowledge management solution receives another level! Integrating Generative AI, Search Engine, and NLP technologies, AI Search for KM produces precise and customized responses, offering users a better experience in knowledge search and QA services. We integrate Generative AI and intelligent Search Engine for knowledge management, assisting in the digital transformation of enterprises and enhancing productivity. Solving pain points encountered by technicians and aligning with user application needs.

ITTS Smart Logistics Solution-AI Video Control Center, from the perspective of practitioners, uses a smart management system to help the logistics company master the three major information of people, vehicles and parcel. The main features are: APP-based mobile control, Smart phones can provide anytime & anywhere control capability  Dynamics Video + image real-time monitoring, real-time conditions of vehicles moving and stopping are clearly visible  Visualization of data reports, clear operational information such as fuel consumption rate and delivery rate at a glance  AI intelligent interpretation, real-time reminder for driving violation judgment, reduce the violation rate, and provide a safe driving environment The accumulation of AI machine learning can be extended to several aspects in the future:  For drivers-through driving behavior interpretation, the driver's condition can be found immediately to prevent dangerous driving; automatic routing suggestions to help novice drivers quickly get started and reach the level of mature delivery  The city management can share real-time road conditions images or video, reflect road level and post-disaster road conditions, and street management capabilities  Provide scientific and technological law enforcement capabilities to localities-image recording of license plate recognition can assist police units in investigating cases

The technical solution of Foxtron Electric Bus combines domestic and international resources, each contributing its strengths： 1. It adopts Foxtron's self-developed VCU software, integrates and develops the EEA architecture for electric buses, and utilizes motors, batteries, and chassis suspension systems from international major manufacturers. In collaboration with domestic manufacturers, Foxtron designs and develops dedicated low-floor bus frames for chassis cooperation. 2. In the product design of electric buses, Foxtron identifies pain points in traditional buses and improves upon them. For example, traditional buses often have issues with rollover protection and numerous blind spots, as well as differential wheel rotation caused by wheelbase, leading to frequent traffic accidents due to visibility problems. To address these issues, Foxtron employs Computer-Aided Engineering (CAE) and NVH (Noise, Vibration, and Harshness) analysis to verify the design of various systems and components. This ensures the overall strength of the vehicle body and chassis, enhances passenger safety, and incorporates features such as panoramic image display and an electronic wide-angle rearview mirror with a blind spot detection system to solve driver blind spot issues. Additionally, to alert pedestrians and other road users to the risk of differential wheel rotation, Model T projects prominent light beams onto the ground during turns, marking the danger zone.