• Journal of Korea Entertainment Industry Association
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• v.5 no.2
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• pp.77-86
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• 2011

This paper is aimed at analyzing the relationship between users' actions in relation to a SNG (Social Network Game), which mainly targets communities, and the motivations that give rise to such selective actions. The subjects of existing researches on game area have rarely dealt with game users but mainly focused on the studies and utilization of game production technologies; and, in cases of studies on games users, their subjects have been hardly more than observations of users' behaviors in relation to the performance to achieve certain goals or themes of a game; for example, upgrading a character's level or obtaining rewards through "defeat". Therefore, it is necessary to analyze the actions of SNS game users from the perspective of behavioral selections caused by various motivations of human beings rather than approaching from the perspective of problem solving methods. In order to accomplish this goal, fist of all, Lazzaro's People Fun model and motivation theory of SNS users will be analyzed. Secondly, relevant materials from 13 SNG cases will be collected. Games' events and the functional actions of users will be classified. Lastly, the primary actions of SNG users will be classified into 8 different types and motivations - action patterns will be analyzed based on the classified materials.

• The Southeast Asian review
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• v.29 no.3
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• pp.39-80
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• 2019

This article examines the reason why Indonesian Javanese are using their traditional medicine jamu. Tracing the cultural logic of Javanese, this study observes the space and the process in which the demand on jamu is culturally constructed. In order to address this, the article focuses on Javanese family and their royal court, the spaces where jamu originated from and has been used. Then, the discussion proceeds to identify jamu as a medium to construct rukun(harmony) and tentram(peace), as well as to express and ensure Javanese cosmology. Along with the research, the article argues that: 1) jamu is an embodiment of Javanese local knowledge system into which Javanese consciousness, notions, knowledge, and techniques integrate; 2) the health achieved by using jamu is what Javanese call tentram, which encompasses physical, mental, spiritual and social dimensions of health; 3) the health of tentram has the value of a resource that becomes the foundation to build a good, prosperous society.

• Korean Journal of Culture and Social Issue
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• v.19 no.3
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• pp.457-485
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• 2013

This study attempted to discover the dimensions of Korean culture, with the presumption that the cross-cultural studies(Hofstede, 1980, 1997; Schwartz, 1992, 1994; Trompenaars and Hampden-Turner, 1997; House et al., 2004) have limitation to explain non-western culture including Korean culture. Even though there are some Korean cultural studies, they used heuristic approaches applying the authors' experiences and intuitions. This study applied the Cultural Consensus Theory to overcome the previous studies' shortcomings and to discover the dimensions that can be empirically proved by data. In specific this study conducted in-depth interview, used content analysis, did frequency analysis, and applied pilesort technique, multidimensional scaling and network analysis. As a result, this study obtained five categories: public self-consciousness, group-focused orientation, affective human relations, hierarchical culture, and result-orientation. It is expected that these dimensions can be used as important variables that may explain Korean social phenomena.

• Journal of Space Technology and Applications
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• v.3 no.3
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• pp.213-228
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• 2023

Unmanned exploration rovers serve as tools for investigating mineral resources, mining, and carrying out various scientific on celestial bodies beyond Earth, acting on behalf of humans. Recently, not only the United States but also other countries such as Japan, India and China have been attempting to develop unmanned planetary exploration rovers for space development or have successfully operated them on other celestial bodies. This has accelerated the enthusiasm for space exploration and development. However, the development and operation of unmanned rovers for planetary exploration still entail significant costs and high risks, making it difficult for universities or companies to undertake such project independently without the guidance of financial backing from government entities. In this paper, we describe the recent development trends of micro-rovers, known as Cube Rovers, which inherit the concepts and definitions of traditional Cube Sat. We also introduce the potential and expectations of Cube Rovers through the necessity of their development and ongoing planetary exploration cases.

• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.51-56
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• 2023

Hand gesture recognition is an essential technology for the people who have difficulties using spoken language to communicate. Electromyogram (EMG), which is often utilized for hand gesture recognition, is expected to have difficulties in hand gesture recognition because its people's movements varies depending on prior postures, but the study on this subject is rare. In this study, we conducted tests to confirm if the prior postures affect on the accuracy of gesture recognition. Data were recorded from 20 subjects with different prior postures. We achieved average accuracies of 89.6% and 52.65% when the prior states between the training and test data were unique and different, respectively. The accuracy was increased when both prior states were considered, which confirmed the need to consider a variety of prior states in hand gesture recognition with EMG.

• Convergence Security Journal
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• v.23 no.4
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• pp.122-129
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• 2023

The paradigm of warfare is undergoing a revolutionary transformation due to the advancements in technology brought forth by the Fourth Industrial Revolution. Specifically, the U.S. military has introduced the concept of mosaic warfare as a means of military innovation, aiming to integrate diverse resources and capabilities, including various weapons, platforms, information systems, and artificial intelligence. This integration enhances the ability to conduct agile operations and respond effectively to dynamic situations. The incorporation of mosaic warfare could facilitate efficient and rapid command and control by integrating AI staff with human commanders. Ukrainian military operations have already employed mosaic warfare in response to Russian aggression. This paper focuses on the mosaic war fare concept, which is being proposed as a model for future warfare, and suggests the strategy for introducing the Korean mosaic warfare concept in light of the changing battlefield paradigm.

• Journal of Venture Innovation
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• v.7 no.3
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• pp.101-121
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• 2024

The application of chatbots on e-commerce platforms is becoming increasingly widespread. With the rapid development of artificial intelligence technology, previous research has predominantly focused on service failures occurring with the chatbots themselves. There is limited research on scenarios where chatbots handle service failures that are controllable by the sellers. This paper conducted online surveys through two experiments involving a total of 546 participants. The results indicate that, in the event of a service failure, customers are more likely to spread negative word-of-mouth about the store and have lower repurchase intentions when served by chatbots compared to human customer service representatives. This is because customers experience higher levels of anger with the chatbots. However, when customers perceive the service failure as uncontrollable by the seller, the impact of the type of customer service provider on negative word-of-mouth via customer anger is weakened while when customers perceive it as controllable the impact is strengthened. This study provides theoretical contributions for online retail enterprises to apply intelligent customer service while preventing further deterioration of service failures.

• Journal of the Health Care and Life Science
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• v.10 no.2
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• pp.361-367
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• 2022

This study provides several methods to minimize dead zone and to detect missing person using combined DRONE and AI especially called 4 th Industrial Revolution. That is composed of image acquisition for a person who is in needed of support. The procedure is DRONE that is made of image acquisition and transfer system. after that can be shown GPS information. Currently representative AI algorithm is YOLO (You Only Look Once) that can be adopted to find manikin or real image by learning with dataset. The output was reached in reliable and efficient results. As the trends of DRONE is expanded widely that will provide various roll. This paper was composed of three parts. the first is DRONE specification, the second is the definition of AI and procedures, the third is the methods of image acquisition using DRONE, the last is the future of DRONE with AI.

• Journal of the Korea Society of Computer and Information
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• v.29 no.8
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• pp.53-58
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• 2024

Traffic accidents are not only a threat to human lives but also pose significant societal costs. Recently, research has been conducted to address the issue of traffic accidents by predicting the risk using deep learning technology and spatiotemporal information of roads. However, while traffic accidents are influenced not only by the spatiotemporal information of roads but also by human factors, research on the latter has been relatively less active. This paper analyzes driver groups and characteristics by applying clustering techniques to a traffic accident dataset and proposes and applies a method to calculate the Risk Level for each driver group and characteristic. In this process, the preprocessing technique suggested in this paper demonstrates a higher Silhouette Score of 0.255 compared to the commonly used One-Hot Embedding & Min-Max Scaling techniques, indicating its suitability as a preprocessing method.

• Journal of the Korea Society of Computer and Information
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• v.29 no.9
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• pp.25-37
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• 2024

This study proposes a novel automation system that integrates Optical Character Recognition (OCR) and Retrieval-Augmented Generation (RAG) technologies to enhance the efficiency of the ESG (Environmental, Social, and Governance) document review process. The proposed system improves text recognition accuracy by applying an ensemble model-based image preprocessing algorithm and hybrid information extraction models in the OCR process. Additionally, the RAG pipeline optimizes information retrieval and answer generation reliability through the implementation of layout analysis algorithms, re-ranking algorithms, and ensemble retrievers. The system's performance was evaluated using certificate images from online portals and corporate internal regulations obtained from various sources, such as the company's websites. The results demonstrated an accuracy of 93.8% for certification reviews and 92.2% for company regulations reviews, indicating that the proposed system effectively supports human evaluators in the ESG assessment process.