The focus of the Department’s research development resides in “big data analysis” and “AI”. Meanwhile, “business intelligence”, “biomedical information”, “social media analysis”, and “smart manufacturing” are identified as the Department's disciplinary research features. The Department also works with the “Innovation Center for Big Data and Digital Convergence” of YZU (the center for the Top Universities Project of the Ministry of Education) to develop various innovative applications.
1.Business Intelligence
Business intelligence aims to integrate and analyze enterprises’ business information, and provide online statements, business analysis and forecasting, with online real-time analysis and data mining technologies, in order to satisfy the needs for enterprise decision-making. In recent years, in response to the rapid accumulation of data on the Internet, it is increasingly necessary to perform business analysis on related data. Therefore, Big Data Analytics appears to be more and more important. The relevant results include the use of social media analysis to probe into the contents of business services and detect the loss of prospective customers, for example, speech on Internet in the telecom industry, and research projects for big data analytics and system construction curricula training and technical cooperation.
2.Bmedical Information
Disciplinary research on biomedical information focuses on the application of computer technologies to help big data analytics for the biological and medical sciences improve healthcare and life quality. Secondly, it combines the disciplines of information technology and basic biology to discuss the human disease-related mechanism and build an inter-disciplinary communication channel between the information and biomedical sciences with respect to the basic biomedical and life science issues, such as “biomedical information analytics and exploration” and “computational systems biology”. The related results include cooperation with physicians from Taipei Hospital and Keelung Hospital, Ministry of Health and Welfare to work on the Project “Big Data Analytics on the Correlation Between Environmental Climate Factors and Cerebrovascular/Cardiopulmonary Diseases, and Innovative Service Development Thereof”, and cooperation with the Department of Art and Design, Department of Mechanical Engineering and Gerontechnology Research Center of YZU to work on the Project “Development of Multi-purpose and Interactive Platforms for Older Adults in the Home Environment, and Commercialization Thereof”.
3.Social Media Analysis
Social media features include mass quantity, rapid production speed, and diversity of source channels, which pose a significant impact to traditional data analytics. The development of various innovative applications thereof is also expectable. The Department focused on the health policy and application of finance and education, and already gained some remarkable results preliminarily. The related results include the establishment of the open services on the “YZU Social Analytics Platform” and assistance to the National Health Insurance Administration in construction of the “Health Policy Public Opinions Analytics System”.
4.Smart Manufacturing
In response to the rapid changes in the external environment and cost competition pressure, the manufacturing industry will focus on improvement of the yield rate and reduction of manufacturing costs. It will not only upgrade the hardware equipment but also needs to seek smart analytics and solutions that may be integrated into the production process intensively. In addition to passive improvement based on feedback, the manufacturing industry must be capable of Predictive Analytics and Presumptive Analytics in an environment full of highly uncertain factors. The related results include the projects for smart manufacturing and big data analytics technologies dedicated to improving the yield rate of electroacoustic components, big data analytics of the high-tech industry, R&D alliances of smart manufacturing and digital decision-making technology, and R&D, application, and development of the PCB mutual smart manufacturing platform.