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A Decision Support System for Situation Management based on the Variability of Disaster Situations
Hyesun Lee, Sun-Wha Lim, Eun Joo Kim, Soyoung Park, Kang Bok Lee, Sang Gi Hong
http://doi.org/10.5626/JOK.2022.49.9.755
With increasing frequency and extent of disasters, the importance of prompt and accurate situation management is also increasing. Existing methods to support situation management decision-making can be applied only to specific situation management tasks in limited circumstances, making it difficult to support customized decision-making according to disaster situations. To address this problem, this paper proposed a variability-based situation management decision support method considering characteristics of disaster situations. The proposed method was based on the software product line engineering concept, constructing core information that could be configured by considering variabilities of disaster situation characteristics, thus providing situation management information from the core information according to disaster situations. This method could increase work efficiency by supporting systematic decision-making step by step based on the situation management work process according to the disaster situation. It could increase the speed and accuracy of decision-making by supporting decision-making automation. The feasibility of the method was validated by applying the method to situation management scenarios for different disaster situations.
Systematic Development of Mobile IoT Device Power Management : Feature-based Variability Modeling and Asset Development
Hyesun Lee, Kang Bok Lee, Hyo-Chan Bang
Internet of Things (IoT) is an environment where various devices are connected to each other via a wired/wireless network and where the devices gather, process, exchange, and share information. Some of the most important types of IoT devices are mobile IoT devices such as smartphones. These devices provide various high-performance services to users but cannot be supplied with power all the time; therefore, power management appropriate to a given IoT environment is necessary. Power management of mobile IoT devices involves complex relationships between various entities such as application processors (APs), HW modules inside/outside AP, Operating System (OS), platforms, and applications; a method is therefore needed to systematically analyze and manage these relationships. In addition, variabilities related to power management such as various policies, operational environments, and algorithms need to be analyzed and applied to power management development. In this paper, engineering principles and a method based on them are presented in order to address these challenges and support systematic development of IoT device power management. Power management of connected helmet systems was used to validate the feasibility of the proposed method.
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