• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.190-198
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• 2022

In the food market, kiosks are rapidly expanding. The kiosk improves the in-store consumer experience and economic prosperity of businesses. This research explores the continuance use intention of kiosks via a post-acceptance model with four antecedent variables: perceived usefulness, perceived ease of use, confirmation, and satisfaction. An online survey was conducted with 420 senior consumers, aged 50-70, who have experienced kiosk services. This study used SPSS 25.0 for descriptive analysis and Amos 23.0 for confirmatory factor anlysis, structural equation analysis, and mediate the effect of the bootstrapping method. The following results were obtained. First, perceived usefulness and confirmation significantly influenced satisfaction with kiosks. Second, perceived usefulness and satisfaction significantly influenced continuance use intention. Third, satisfaction mediated the relationship between perceived usefulness and continuance use intention. Fourth, satisfaction mediated the relationship between confirmation and continuance use intention. These findings enhanced the understanding of seniors' attitude and response to kiosk services.

• 한국노년학
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• v.40 no.4
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• pp.577-598
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• 2020

As the socialization of care is progressing rapidly, the necessity of community-level mental health intervention for older adults with severe social isolation and depression is also increasing. In line with the reorganization of the Individualized Support Services for Older Adults in 2020, the social relations revitalization project for the elderly living alone, which had been conducted as a pilot project in 2014~19, was expanded and reorganized into a separate specialized project within the Individualized Support Services for Older Adults. The purpose of this study is to enhance understanding of the specialized service and to clarify its conceptual framework. The characteristics and conceptual framework of the specialized service were examined through a review of the process of institutionalization of the specialized service, which included analysis of related literature and the pilot projects. Finally, it discussed what to consider in order for the specialized service to proceed as intended in the future, focusing on a couple of situations that occur at the fields.

• The Korean Journal of Applied Statistics
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• v.35 no.4
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• pp.517-525
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• 2022

In the era of big data, various data mining techniques have been proposed as major analysis methodologies. As complex and diverse data is mass-produced, data mining techniques have attracted attention as a method that forms the foundation of data science. In this paper, we focused on the decision tree, which is frequently used in practice and easy to understand as one of representative data mining methods. Specifically, we analyzed the effect of the splitting method of decision trees on the model performance. We compared the prediction power and structures of decision tree models with different split methods based on various simulated data. The results show that the linear combination split method can improve the prediction accuracy of decision trees in the case of data simulated from nonlinear models with complex structure.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.8
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• pp.1231-1237
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• 2022

It is necessary to dynamic recognition system with real time loading height and pressure of the loading waste, the drying of wood, batteries, and plastic wastes, which are representative compositional wastes, and the carbonization changes on the surface. The dynamic context awareness service constituted a platform based on Universal Middleware system using BCN convergence communication service as a Ambient SDK model. A context awareness system should be constructed to determine the cause of the fire based on the analysis data of fermentation heat point with natural ignition from the load waste. Furthermore, a real-time dynamic service platform that could be apply to the configuration of scenarios for each type from early warning fire should be built using Universal Middleware. Thus, this issue for Internet of Things realize recognition platform for analyzing low temperature fired fire possibility data should be dynamically configured and presented.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1832-1837
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• 2022

In the SW education of non-majors who encounter liberal arts education experience difficulties in the SW development environment and understanding they encounter for the first time, relevance to their major, and convergence thinking ability. In order to compensate for the difficulties of non-major learners in liberal arts education, a relatively easily accessible software was used to utilize a demonstration-oriented model that can be applied to beginners in SW education. In order to understand the logical flow of applications and problem solving used in real life, we proposed a convergence SW teaching method that combines repeated implementation through demonstration by the instructor and imitation of the learner, and learning indicators to increase the learning satisfaction and achievement of the learner. In the experiment applying the teaching and learning method proposed in this paper, meaningful results were shown when evaluating the learning effect, academic achievement, learning satisfaction, and teaching and learning method aspects of SW education.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.4
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• pp.559-571
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• 2021

Along with the increase prevalence of computers, the number of malware distributions by attackers to ordinary users has also increased. Research to detect malware continues to this day, and in recent years, research on malware detection and analysis using AI is focused. However, the AI algorithm has a disadvantage that it cannot explain why it detects and classifies malware. XAI techniques have emerged to overcome these limitations of AI and make it practical. With XAI, it is possible to provide a basis for judgment on the final outcome of the AI. In this paper, we conducted malware group classification using XGBoost and Random Forest, and interpreted the results through SHAP. Both classification models showed a high classification accuracy of about 99%, and when comparing the top 20 API features derived through XAI with the main APIs of malware, it was possible to interpret and understand more than a certain level. In the future, based on this, a direct AI reliability improvement study will be conducted.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.271-281
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• 2022

The importance and necessity of software(SW) education as a liberal arts was fully recognized by society. However, according to the previous research results, learners' motivation to learn in SW liberal arts was kept low for various reasons. Therefore, understanding the learning motivation and its changeability in SW liberal arts is necessary, but the related studies are not sufficient. In this paper, we analyzed changes in achievement goals using a 3 × 2 achievement goal model to examine changeability of achievement goals in a SW liberal arts class during one semester. As a result, we confirmed that the achievement goals were stable at both the group level and the individual level, but the order of each achievement goal was different from that of the previous studies. We also confirmed that the mastery goal of the classroom goal structure had a higher correlation with most achievement goals, but the performance goals had a correlation with some avoidance goals only. This means that additional research is needed for each key classroom goal structure type in SW education because the learning motivation in SW liberal arts has different aspect from the other existing liberal arts classes.

• Korean Association of Arts Management
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• no.60
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• pp.93-119
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• 2021

How an organization communicates to relevant stake-holders in a crisis is critical to gain continued social acceptance and legitimacy. In this paper, we examine the evolution of crisis communication strategies by the Arts Council Korea(ARKO) in response to the Blacklist case that unfolded from 2017 through 2019. In doing so, we focused on the 'Pop-up Theater case', where ARKO officials had exercised their discretion to have the play produced by theater artists be discontinued because they had viewed that the play was engendering the imagery of the Sewol-Ho tragedy. Using a case study methodology, we follow a series of events that occurred during this crisis management process, analyzing three apologies issued by the ARKO. In doing so, we draw on Hearit (2006)'s crisis management theory to evaluate how ARKO's crisis communication was managed. Overall, our study highlights that without incorporating truthfulness and sincerity congruent with stakeholder expectations, an organization's crisis communication is likely to be less successful.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.97-104
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• 2023

Purpose: The web based KRAS risk assessment support system to facilitate risk assessment in small businesses and provides an assessment model for each type of business. In order to help understand risk assessment, private institutions have opened and operated training in charge of risk assessment. It will present the effectiveness of education in charge of risk assessment and measures to improve and revitalize it accordingly. Method: Using SPSS 22 for 670 workplaces that completed risk assessment personnel training within 5 years from 2017 to 2021, the disaster rate was analyzed through correlation analysis and t-test by dividing groups of less than 100 people into groups of 100 people. Result: Hypothesis 1-5 are adopted and reject 5-8. Conclusion: It is possible to consider the organization of a curriculum according to the size of a company for corporate education with more than 100 employees and to enhance the benefits of recognizing risk assessment.

• The Journal of Engineering Geology
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• v.33 no.1
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• pp.1-13
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• 2023

Predicting earthquakes is difficult due to the complexity of the systems underlying tectonic phenomena and incomplete understanding of the interactions among tectonic settings, tectonic stress, and crustal components. The Korean Peninsula is located in a stable intraplate region with a low average seismicity of M 2.3. As public interest in the earthquake grows, we analyzed earthquakes on the Korean Peninsula by attempting to predict spatio-temporal earthquake patterns and magnitudes using Facebook's Prophet model based on deep learning, and here we discuss seismic distribution zones using DBSCAN, a cluster analysis method. The Prophet model predicts future earthquakes in Chungcheongbuk-do, Gyeonggi-do, Seoul, and Gyeongsangbuk-do.