The BSMX series of early warning modules for lithium battery thermal runaway, developed by Taiwan Intelligent Pollutant Sensing Co., Ltd., is a next-generation BMS upgrade solution that requires only simple installation to integrate with existing systems. The module is equipped with high-sensitivity sensors developed specifically for energy storage safety applications, with a rapid response time of as fast as three seconds. The module offers multiple signal output interfaces to choose from and features a proprietary smart algorithm that eliminates the need for calibration after installation. It is particularly suitable for energy storage systems that operate continuously for long periods and are difficult to maintain. E-bike version has a significant improvement in power consumption.

With our fiber sDAS, Wave-In effectively reduce mobile signal dead spots caused by insufficient base station coverage, buildings or electromagnetic signal interference. Due to the pandemic, Taiwanese Engineers weren’t able to assist with on-site installation and coverage testing, to solve this problem and improve efficiency, Wave-In utilized Mixed Reality for collaboration and remote assistance.

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.

The light rail transit (LRT) system could improve capacity of mass transit. However, most of the accidents occurred because road user run a red light, which affected LRT passenger rights. ž Using lidar/radar to detect the collision event may occurred. (reference the signal phase) ž Notify LRT driver the predicted event by C-V2X V2N solution. ž Outdoor N79 5G private network.

The Ministry of Economic Affairs, Department of Industrial Technology has commissioned the Industrial Technology Research Institute's Center for Smart Sensing and System Technology to develop a "Composite Long-Term Air Quality Sensor." This sensor is capable of simultaneously measuring particulate matter (PM2.5), ozone (O3), carbon monoxide (CO), volatile organic compounds (VOC), and other air quality monitoring parameters. The sensor utilizes optical detection methods to detect concentrations of suspended particulate matter (PM2.5) and ozone (O3) in the air. Innovative key technologies, including dual-channel micro-particle sieving, micro-particle signal feature recognition, LED dynamic light source stability, and multi-environmental factor compensation, are employed to enhance the sensor's lifespan and accuracy. Furthermore, semiconductor and micro-electromechanical (MEMS) technologies are utilized to create a micro-heating chip. This chip, combined with gas nano-sensing materials and a single-chip sensing control circuit, converts the detected gas sensing resistance changes into carbon monoxide concentration values for the detection of carbon monoxide (CO), total volatile organic compounds (TVOC), and other harmful and odorous gas concentrations.

Integrating RPA, Generative AI, Machine Learning, and Process Management technologies, we provide manufacturing solutions to address supply chain communication, timely business delivery responses, on-site scheduling optimization, order insertion issues, new employee training, and corporate administrative problem-solving.

During the promotion of plastic life, we understand that only the concept of the circular economy can make the continuous reuse of resources. Therefore, we promoted the ”Plasticircular Project™” by using easily recyclable plastic as raw materials. Starting from the design of the product, the more we think about the end of the product, we are expecting to achieve the closed recycling model and system. All you have is what you want. In order to construct a service design for recycling packaging containers, to achieve a closed cycle of reuse and recycling of plastic packaging containers. We have the Project of the Plasticular and established a team to help with each step of the system.

Our platform, TradeTioh (Taiwanese for “found it”), focuses on the local Taiwanese market. Through customized matchmaking services and technological innovation, we offer two-way matching features, real-time communication tools, and data-driven optimization algorithms to help buyers and suppliers quickly establish cooperative relationships. Looking ahead, we will continue to enhance our platform technologies and expand into international markets, aiming to bring long-term value to Taiwan’s manufacturing industry. On the TradeTioh platform, buyers can submit their procurement needs, and our core AI-driven technology will analyze the requirements and process them through our big data backend. The system then recommends the most suitable supplier candidates. Buyers can use the built-in messaging tool to directly contact the selected suppliers. The entire process takes only a few minutes—powered by TradeTioh’s core technology—making it far more efficient than traditional methods such as browsing websites, flipping through directories, or relying on referrals.

ADAS Buddy is a new intelligent driving assistant system designed to enhance driving safety and reduce the occurrence of traffic accidents. eNeural team leverages sensor information and combines their own innovative technology to provide real-time detection and warnings of potential hazards, such as when the driver exhibits signs of fatigue, the system can use sound to alert the driver to take a break before continuing to drive. In addition, ADAS Buddy also comes with voice interaction mode, allowing drivers to focus on the driving situation, reducing the risk of accidents caused by distraction. These intelligent technologies' integration will provide drivers with a safer and more comfortable driving experience.

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.

Millilab provides smart automotive in-cabin solutions, including both hardware and software as well as total solutions for CPD (Child-Presence Detection) and DMS (Driver Monitoring System). With our proprietary algorithms, our radar modules can distinguish between adults and children, helping to prevent incidents where children are left unattended in vehicles.

The Address GeoCoding Module (geoCoder) provided by RiChi Technology is designed to solve the address formalization and positioning. No matter how complex the address is, it can easily solve it with one click and comply with the nationally defined address format! geoCoder provides various data cleaning functions, including: house number normalization, comprehensive format standardization of input addresses, road settlement conversion, abbreviation processing, address missing and removal of redundant information and other services; the positioning function performs coordinate query for the input address, providing longitude and latitude or TWD97 two-dimensional zone coordinates; multiple numbers or floor address strings are split, and the module can systematically and effectively split and process them into standardized writing to ensure the accuracy and completeness of address data.