• Korean Journal of Computational Design and Engineering
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• v.18 no.3
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• pp.224-233
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• 2013

For the scheduling and the job assignment of the ship hull production design which is a process-based work, we suggest the simulation-based scheduling using the discrete-event-based business process simulation. First, we analyze the ship hull production design process from the perspective of a job assignment to make it into the simulation model using DEVS (Discrete Event System Specification) which is the representative modeling method for a discrete-event simulation. Based on the APIs of the open-source discrete-event simulation engine, we implement the simulation using the Groovy script. We develop the scenario generator in which the user defines detail information of the construction drawing and its member blocks, and design engineers information, and the various setting for the simulation including the job assignment strategy. We use the XML files from this scenario generator as inputs of simulation so that we can get simulation result in forms of Gantt chart without changes of the simulation model.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.160-160
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• 2022

Floods are the most common natural disasters and are annually causing severe destructions worldwide. Human activities, along with expected increased extreme precipitation patterns as a result of climate change enhance the future potential of floods. There are proven evidence that infrastructure based responses to flood disaster is no longer achieving optimum mitigation and have created a false sense of security. Nature-based solutions(NBS) is a widely accepted sustainable and efficient approach for disaster risk reduction and involves the protection, restoration, or management of natural and semi-natural ecosystems to tackle the climate and natural crisis. Adoption of NBS in decision-making, especially in developing nations is limited due to a lack of sufficient scenario-based studies, research, and technical knowledge. This study explores the knowledge gap and challenges on NBS adoption with case study of developing nation, specially for flood management, by the study of multiple scenario analysis in the context of climate, land-use change, and policies. Identification and quantification of the strength of natural ecosystems for flood resilience and water management can help to prioritize NBS in policymaking leading to sustainable measures for integrated flood management.

• 한국ITS학회:학술대회논문집
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• 2008.11a
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• pp.428-436
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• 2008

• Proceedings of the KOR-KST Conference
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• 2007.11a
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• pp.979-985
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• 2007

• Proceedings of the Korean Nuclear Society Conference
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• 2002.10a
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• pp.422-422
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• 2002

• Journal of Korean Academy of Fundamentals of Nursing
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• v.23 no.2
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• pp.194-203
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• 2016

Purpose: This study was conducted to test the effect of a scenario based hand hygiene education program on hand hygiene knowledge, hand hygiene perception, hand hygiene compliance and hand hygiene method in nursing students. Methods: A non-equivalent control group, non-synchronized quasi-experimental design was used. Forty five nursing students participated in the study with 22 in the experimental group and 23 in the control group. Data were analyzed using descriptive statistics, ${\chi}^2-test$, t-test, and repeated measures of ANOVA. Results: There were significant increases in hand hygiene knowledge (t=-4.28, p<.001) and accuracy of the hand hygiene method by week (F=7.33, p<.001). However, hand hygiene perception (t=-1.67, p=.102) and hand hygiene compliance rate (F=7.33, p=.405) were not significantly changed. Conclusion: The effects of the scenario based hand hygiene education program provided in this study were excellent, compared to the other hand hygiene education programs. Moreover, as a result of investigating the education effects through direct observation for 4 weeks, appropriate feedback was offered in the third week, and it was found that maintaining the effect was necessary. However, the current status of hand hygiene compliance and accuracy of methods for ensuring hand hygiene need to be studied further.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.405-412
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• 2018

When a film company decides whether to invest or not in a scenario is the appropriate time to predict box office success. In response to market demands, AI based scenario analysis service has been launched, yet the algorithm is by no means perfect. The purpose of this study is to present a prediction model of movie scenario's box office hit based on human brain processing mechanism. In order to derive patterns of visual, auditory, and cognitive stimuli on the time spectrum of box office animation hit, this study applied Weber's law and brain mechanism. The results are as follow. First, the frequency of brain stimulation in the biggest box office movies was 1.79 times greater than that in the failure movies. Second, in the box office success, the cognitive stimuli codes are spread evenly, whereas in the failure, concentrated among few intervals. Third, in the box office success movie, cognitive stimuli which have big cognition load appeared alone, whereas visual and auditory stimuli which have little cognitive load appeared simultaneously.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.195-203
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• 2016

This paper, which was performed for an environmental analysis step in the information strategy planning, proposes the capable method of building a foundation which can improve the quality of results. An existing environment analyzing method is composed with external environment analysis, internal capacity analysis and information direction deriving activity. At the first stage of environment analysis, with current state analysis, preparation of interview with major stakeholder of project, carrying out the interview, added the activities to gain initial direction of the information. Then it applied a key-questioning of convergence scenario-based analysis for external environment analysis and internal capacity analysis. Performing the external environment analysis and internal capacity analysis with analysis model, convergence application of scenario-based analysis model was enabled to verify information direction on the initial setting. The result was applied at actual project site and was enabled to perform the project quickly, and to improve the quality of project results.

• Radiation Oncology Journal
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• v.37 no.2
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• pp.134-142
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• 2019

Purpose: The aim is to study the dependence of deformable based auto-segmentation of head and neck organs-at-risks (OAR) on anatomy matching for a single atlas based system and generate an acceptable set of contours. Methods: A sample of ten patients in neutral neck position and three atlas sets consisting of ten patients each in different head and neck positions were utilized to generate three scenarios representing poor, average and perfect anatomy matching respectively and auto-segmentation was carried out for each scenario. Brainstem, larynx, mandible, cervical oesophagus, oral cavity, pharyngeal muscles, parotids, spinal cord, and trachea were the structures selected for the study. Automatic and oncologist reference contours were compared using the dice similarity index (DSI), Hausdroff distance and variation in the centre of mass (COM). Results: The mean DSI scores for brainstem was good irrespective of the anatomy matching scenarios. The scores for mandible, oral cavity, larynx, parotids, spinal cord, and trachea were unacceptable with poor matching but improved with enhanced bony matching whereas cervical oesophagus and pharyngeal muscles had less than acceptable scores for even perfect matching scenario. HD value and variation in COM decreased with better matching for all the structures. Conclusion: Improved anatomy matching resulted in better segmentation. At least a similar setup can help generate an acceptable set of automatic contours in systems employing single atlas method. Automatic contours from average matching scenario were acceptable for most structures. Importance should be given to head and neck position during atlas generation for a single atlas based system.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.589-599
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• 2014

Critical thinking includes creative thinking, open-mindedness, inquisitiveness. Critical Thinking Disposition was significantly higher in experimental group that was enhanced by the scenario-based learning contents than that of the control group(t=4.102, p<.001). Problem Solving process was significantly higher in experimental group that was enhanced by the scenario-based learning contents than that of the control group(t=5.082, p<.001). However, there was no significant difference between the two groups in Clinical Competence(t=2.646, p=.009). But experimental group was significantly higher score than that of the control group score decreased. These results support that the implementation of a scenario-based learning contents need to be continued as an effective educational material but we need more research to establish how this can be effectively implemented in a students' practicum.