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Research Center - MIS

Research Center

Manufacturer Integration Research Center

In line with the government's future industrial electronic policy, the implementation of forward-looking talent training plans is now a key work item of the relevant national human resources training ministries and committees. Among them, the 10-year industrial automation plan from 1980 to 1990" (four sub-plans of manufacturing automation, commercial automation, agricultural automation, and construction automation) will complete its phased tasks in 2000 AD.

As we enter the 21st century, individual industrial automation upgrades are no longer sufficient to cope with changes in the ten-fold faster environment in the future. Both manufacturing and business will face the information age, the variability of consumer demand, and the speed of products. demand and supply chain integration and rapid response among various industries, business types, and formats. Therefore, how to continue the achievements of this ten-year plan, and aiming at the goal of becoming a member of the global production and supply chain for my country's industries in the future, expanding the depth and breadth of "manufacturer integration" in related core technologies and personnel training is the primary condition, so that my country Develop "Global Competitive Characteristics of Manufacturing Service Industry".

Medical Information Management Research Center

In recent years, Taiwan's medical industry policy and ecology have undergone drastic changes, making competition in the medical market unprecedented. In order to achieve the ideal of sustainable operation, improving business performance, improving administrative service efficiency and medical service quality has become an urgent and important issue. Therefore, continuous quality improvement activities have become the response method that medical institutions are striving to implement. In view of this, the functional goal of the establishment of the center is to assist medical institutions to improve their operating procedures and quality management from the perspective of information technology applications, and to provide consultation and guidance on various related issues in order to improve the domestic medical industry. competitiveness.

Smart Computing and Network Communication Laboratory

With the increasing popularity of 5G networks, the Intelligent Internet of Things (AIoT) will become an increasingly important research topic. The main concept of the Internet of Things (IoT) is the interconnection of all things, through the development version combined with sensor measurement information, and then sent to the server and database for storage. Artificial Intelligence (AI) technology can use the collected information for some applications. For example, Recurrent Neural Network (RNN) can use past sensor information to predict the future, and Deep Reinforcement Learning (DRL) can optimize decisions based on this information. Since the implementation of artificial intelligence technology requires a lot of programming ability training and accumulation of practical experience, the application of mobile computing also needs long-term continuous hands-on practice to become proficient. Therefore, the idea of ​​establishing a smart computing and network communication laboratory is proposed. , in order to establish an environment for cultivating students' emerging abilities in artificial intelligence and network communication, thereby enhancing the research capacity of the department.

Financial Technology Case and Experimental Research Lab

Financial technology has risen in recent years. Because they can potentially bring more convenient, faster, cheaper, innovative and customer-oriented financial services, different scholars around the world have paid attention to them. According to statistics from Statista (2019), the rate of global SMEs adopting new financial technology for daily banking transactions and payments has reached 56%. In addition, according to Statista (2021), the number of new financial technology companies around the world is also growing. Among the many financial technologies, cryptocurrencies have to be mentioned. Since Nakamoto (サトシ・ナカモト) published the article "Bitcoin: A Peer-to-Peer Electronic Cash System" in 2008, Bitcoin (Bitcoin) has begun to rise, and then a large number of different cryptocurrencies have emerged, including Ethereum (Ethereum), Litecoin and Dogecoin are close to 10,000. In mid-September 2022, the market value of Bitcoin has reached 372.9 billion US dollars. However, we still notice that many fintech start-ups have failed to succeed, and many cryptocurrencies have not been accepted by the market. One of the most famous examples is Xinja Bank in Australia. It only took about a year from the start of operation in 2019 to the withdrawal from the market. In terms of cryptocurrencies, in May 2022, the value of LUNA and its related stablecoin TerraUSD suddenly experienced an unexpected plunge, causing heavy losses to many holders. The failure of these companies and cryptocurrencies will prevent the benefits of financial technology from being further developed. In addition to the business losses of the companies, the general public will not enjoy related benefits. In the long run, the lack of awareness of the existing business models of financial technology will make it difficult for newer financial technologies to be implemented in the future.

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Data Science and Massive Data Analysis Laboratory

Smart Healthcare and Technology Law Lab

E-commerce and Fintech Lab

Network Technology Application Laboratory

Medical Big Data Lab

Special Classroom of University Department