The military of the Republic of South Korea applies infrastructure as a service (IaaS) cloud-computing technology and applications distributed nationwide are transferred to two defense-integrated data centers (DIDCs). However, to improve the quality of the military information service provided by the DIDCs, it is crucial to expand the cloud-computing service from IaaS to the software as a service (SaaS) level. Owing to the in-house planning, development and operation of military applications by the Ministry of National Defense and each military force, these organizations operate several applications that are similar and redundant. Accordingly, SaaS can reduce the costs of IT services and management overhead by eliminating similar and redundant applications and integrating them into common services. In this study, a military service framework (MSF) was designed based on the criteria of business functions and service targets. The MSF was applied to applications currently in operation to create a current military SaaS portfolio, whereas the future military SaaS portfolio was restructured by identifying common services within and between organizations and throughout the military. Consequently, 369 future military SaaS portfolios were created, representing a 36% decrease realized by integrating similar and redundant systems out of 580 applications.

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The Ministry of National Defense of South Korea is currently acquiring various surveillance and reconnaissance assets to improve its independent surveillance and reconnaissance capabilities. With the deployment of new strategic and tactical surveillance and reconnaissance assets, the amount of information collected will increase significantly, and military intelligence capable of handling greater complexity will be needed to process such information. As a consequence, it will no longer be possible to handle the increased workload through a manual analysis conducted by intelligence analysists. Further, the number of intelligence analysists is expected to decrease in the near future owing to a reduction in the total number of troops, thereby exacerbating the need to apply artificial intelligence technology to process military intelligence tasks more quickly and accurately. In this study, a method is introduced for determining the ways to prioritize the AI technology domains applied to military intelligence. Consequently, among the five stages used, the processing stage has the highest priority. The application of AI technology to all the stages of information circulation may be ideal. Nevertheless, among various military intelligence domains, the one that affords the highest effectiveness of such an application should be prioritized. This is owing to resource and defense budget limitations.

Scrolling is a frequently used Graphical User Interface widget that enables users to interact with a large amount of data using a limited viewport. However, if excessive data is included in the scroll, users are required to spend a substantial amount of time and effort to find the required information. In this paper, we present adaptive kinetic scrolling (AKS), a technique based on kinetic scrolling by which users can access target information more rapidly on mobile devices. Based on the user’s behavior, AKS detects situations when the user intends to access certain information that may be distant from the current viewport. At this point, AKS amplifies the speed of kinetic scrolling. Furthermore, the scrolling speed adapts according to the size of the remaining data to be scrolled. The more data that the scrolling widget contains, the more rapidly it scrolls so that the user can quickly reach the target. Kinetic scrolling is frequently used in scrolling widgets, and with AKS, users can save time and energy wasted on repetitive meaningless scrolling. We conducted a user study and verified that the proposed scrolling technique enables users to access target information more rapidly, particularly when there is a large dataset to navigate.