Leveraging system development technology and combining it with environmental engineering consulting expertise, EGIT provides comprehensive and convenient climate-change adaptation support systems for various entities, including government agencies, financial institutions, universities, and private organizations. The system encompasses features such as GHG inventory, climate change risk alerts, and asset depreciation assessment. Our expertise assists organizations in addressing climate risks.

ITS traffic data collection has solved the laborious and time-consuming task of manually calculating traffic flow in the past. It aims to achieve the goals of smoother road conditions and reduced accidents through intelligent traffic diagnosis. By utilizing intelligent transportation systems, the system automatically tracks vehicles, identifies vehicle types, predicts trajectories, and transforms the data into useful information. This assists in real-time interpretation and improvement of traffic engineering. This system is particularly crucial in Taiwan, where over 60% of traffic accidents occur at intersections. Through big data analysis, identifying issues and formulating solutions is possible, thereby lowering accident risks. This approach proves more effective than simple advocacy and alerts.

Centrally manage all signing tasks online, allowing you to keep track of the contract signing process at any time. The JGB system supports mobile phones and computers, so you can sign contracts anytime and anywhere, eliminating the need for paper signings and making work time allocation more efficient. In compliance with Taiwan's "Electronic Signature Law", contract signing will strictly ensure the legal validity and security of electronic signatures.

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.

Through 5G’s features of high speed, low latency and big connection, the 5G enterprise private network can provide highly secure and reliable network services. In order to avoid the outflow of sensitive data, enterprises can transmit data on this internal network to keep it isolated from the public network. Currently, this is being used in manufacturing, medical, transportation, and in other industries which also have demanding network quality requirements. Chunghwa Telecom’s self- developed "5G intelligent A +" private network service adopts independent core network technology and can connect to both the N78 public network and the N79 private network at the same time. It also has a number of world-leading exclusive functions, including the ability to determine whether data can enter the enterprise intranet based on conditions such as serial number, IP, and website address. It can also adjust bandwidth and data access rights based on person, time, and location. Combined with cloud and a variety of other application services, the CHT 5G private network enables enterprises to establish a complete network solution.

Vehicle Classification enables transportation authorities to automatically identify and classify vehicles according to their visual attributes. This technology finds widespread application in traffic management systems, toll collection, parking facilities, and security setups. FETCi leverages AI algorithms and machine learning methodologies to analyze video data collected through LiDAR technology. With an extensive database and repository, FETCi's AI AVC proficiently sorts vehicles into distinct categories, including cars, trucks, motorcycles, buses, and more. By integrating LiDAR technology with AI-powered image recognition, FETCi establishes a vehicle recognition system equipped with self-enhancement and deep learning capabilities.

Handling abnormal complaints requires extensive experience and expertise. However, the resignation or retirement of senior employees often leads to knowledge loss, impacting organizational efficiency and competitiveness. Through vector models, Morale AI transforms unstructured data (such as emails, PDFs, and Word documents) into structured data and integrates it into databases, enhancing data usability. Multi-modal models combine diverse data types, including text and images, to systematically record and preserve experience. By leveraging Retrieval-Augmented Generation (RAG) technology and similarity search, the model can accurately categorize issues, identify the root causes, and recommend relevant cases, significantly reducing manual processing time and error rates. This systematic approach not only enhances response efficiency and enables real-time analysis and resolution of customer issues but also reduces repetitive work for employees, improving overall productivity and customer satisfaction.

Embracing sustainability, Slimca Here introduces an ultra-thin rechargeable system compatible with USB-C. No need for wasteful disposal when the power runs out – simply recharge with ease using a standard USB-C cable.

Symbiosis of fishing and electricity is a new form of economic model that combines the creation of energy and the maintenance of industrial output combined with farming and green power generation. Optimize the land with "one-use, multi-use, farmland and agriculture". Use the bracket to raise the solar panel by several meters. In order not to change the breeding species, breeding operations and breeding activities, the development of solar energy will assist the upgrade of breeding fisheries.

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.

In the past, human operation and judgment were required, but now technology assists people in handling water distribution work. Set up water level or flow sensing devices in important water supply channels and transmit the collected data to the information management platform. Using online information or mobile APPs, water stewards can instantly grasp the field water distribution to achieve the goals of saving manpower and accurately allocating water. Taking the research results of the Jianan Irrigation District as an example, water stewards management can save about 20 to 25% of water by allocating irrigation water. If it is combined with Smart irrigation system, it can save another 5% of water. Currently, Water Resources Department, MOEA continues to cooperate with National Science and Technology Council, Ministry of Agriculture to gradually expand to 3,000 hectares in the Jianan Irrigation District and 3,000 hectares in the Kaohsiung Irrigation District, and gradually promote Smart irrigation and water-saving management technology.

C.ai Chatbot Service Platform is recommended as the best autonomous solution for enterprises to implement LLM intelligent assistants and related applications. It features easy editing with No-Code/Low-Code, easy integration with internal and external systems, and a complete service interface. With LLM application compliance and governance, enterprises can choose to integrate various suitable language models to enhance AI implementation capabilities. It supports various communication software and browsers, completing design and launch in one stop.