英文摘要 |
This research is mainly aimed at collecting, organizing and analyzing information about the Internet of Things (IoT), Beacons, Artificial Intelligence (AI), and Radio Frequency Identification (RfiD), and to investigate the feasibility of applying these technologies to national archives management. The research concluded that national archives management should apply automation technologies. The most feasible approach is to use Beacon for personnel locator and exhibition guiding, AI of Machine Learning for optimizing archives retrieval service, AI of Robot for exhibition service and archives digitization, RfiD for archives inventory, archives borrowing and returning, finding archives, security, and statistics. It is recommended that the National Archives Administration could carry out follow up plans, and gain in-depth understanding of funds and human resources required to build the aforementioned service mechanism, to facilitate the evaluation of benefits. It is also recommended that the National Archives Administration could conduct follow-up studies on new automation technologies (such as QRcode), and analyze and compare with the above-mentioned automation technologies. Through pragmatically assessing cost-effectiveness to find the automation technology that is most suitable for national archives management. |