• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.5D
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• pp.869-876
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• 2006

In the case of earthenware cultural heritages that are found in the form of fragments, the major task is quick and precise restoration. The existing method, which follows the rule of trial and error, is not only greatly time consuming but also lacked precision. If this job could be done by three dimensional scanning, matching up pieces could be done with remarkable efficiency. In this study, the original earthenware was modeled through three-dimensional pattern scanning and photogrammetry, and each of the fragments were scanned and modeled. In order to obtain images from the photogrammetry, we calibrated and used a Canon EOS 1DS real size camera. We analyzed the relationship among the sections of the formed model, efficiently compounded them, and analyzed the errors through residual and color error map. Also, we built a web-based three-dimensional simulation environment centering around the users, for the virtual museum.

• Korean Journal of Culture and Social Issue
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• v.17 no.1
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• pp.155-174
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• 2011

The purpose of this study was to compare the kinds of plays and the meanings of words in play songs among children of Han heritage. A total of three data sets were used. Data for two of the data sets were obtained from only South Korean children in 1990 and 2005, respectively, while the other data set contained responses from South Korean, Chinese Korean, and North Korean children collected in 1999. The three societies of Han heritage differed in the level of economic and industrial development and ideological orientation, and each society tended to socialize and educate their children in different ways. The kind of plays and the lyrics of the play songs were different in each stage by the level of economic and industrial development, and ideological orientation. In each society, a dominant play changed periodically. For instance, physical play decreased while television, video, and internet game plays increased. The increase in internet game play was related to the level of industrial development. Although three groups shared some common play songs prior to 1945, they have developed their own play songs after 1945 according to their respective social ideological characteristics. Notwithstanding these differences in play songs, common themes, materials, rhythms, and the Korean emotionality exist across all groups.

• Korean Journal of Culture and Social Issue
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• v.11 no.4
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• pp.83-95
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• 2005

The purpose of the present study was to investigate the relationship between spatial-erceptual ability and several aspects of driving-related situation awareness(in particular, recognition and prediction). Video clips of real driving were used in both recognition and prediction tasks, and the digit calculation task during driving the simulator was required as the integration task of recognition and prediction. The results showed that the subjects of higher spatial-perceptual ability performed better in recognition task, especially in terms of sensitivity measured in d'(as signal detection theory), prediction task, and digits calculation performance than those of lower spatial-perceptual ability.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.1111-1117
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• 2023

Recently, South Korean newspapers began trying to charge for online news. This study attempts to shed light on the factors that influence payment for online news by analyzing Korea Press Foundation's 2022 Media Audience Survey (N = 58,936). The results of this study showed a steady increase in past payment and paying intent for online news since 2020. Predictors of past payment for online news included gender, age, and education, and interest in political and social issues. News use through specific media (i.e., newspapers, magazines, portals, messengers, social media, video sites, and podcasts), as well as mobile applications and e-mail newsletters, were found to contribute to paid subscriptions. Based on the findings of the study, news organizations should prepare to offer differentiated news content through their own news platforms and establish concrete plans to build trust in news.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.1089-1095
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• 2023

Windows are essential and important architectural elements for the organization of architectural spaces, and they give character to the space and have a great impact on the reaction of users. Virtual windows are installed to activate architectural spaces such as underground spaces where windows cannot be installed, and to provide a sense of psychological security to users in hospital clinics, etc. In this study, we reviewed the literature and collected and analyzed the precedents of virtual windows to discuss the factors necessary to improve the realism of virtual windows. The factors that affect the realism of virtual windows are further grouped into five categories: 1. Use of reproduced images or videos for views, 2. Representation of temporality, 3. Responsiveness to changes in the observer's perspective, 4. Realistic reproduction of sunlight, and 5. Provision of non-visual sensory elements. Virtual windows are not just a replacement for traditional windows, but a way to realize a virtual environment using digital media, and it is necessary to expand the discussion to the realization of the virtual environment and the relationship with architectural elements.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.211-217
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• 2023

This study was conducted for the purpose of analyzing the differences in academic presence and achievement according to the types of e-learning contents development. Content development types were divided into HTML5-based contents, which is interactive contents, and Flash-based contents, which is video presenting type. One group at G high school located in B region learned with HTML5-based contents, and the other group learned with Flash-based contents, and then conducted a survey on the presence and an achievement evaluation. Presence was analyzed through a paired t-test, and the difference in academic achievement was measured through analysis of covariance. As a result of the study, it was found that HTML5-based contents had high levels of presence and academic achievement. Based on the results of the study, the development direction of e-learning contents to be developed in the future was discussed.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.605-611
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• 2023

Accidents at construction sites have a very high rate of fatalities due to the nature of being prone to severe injury patients. In order to reduce the mortality rate of severely injury patients, quick response is required, and some systems that detect accidents using AI technology and cameras have been devised to respond quickly to accidents. However, since existing accident detection systems use only a single camera, there are blind spots, Thus, they cannot detect all accidents at a construction site. Therefore, in this paper, we present the system that minimizes the detection blind spot by using multiple cameras. Our implemented system extracts feature points from the images of multiple cameras with the YOLO-pose library, and inputs the extracted feature points to a Long Short Term Memory-based recurrent neural network in order to detect accidents. In our experimental result, we confirme that the proposed system shows high accuracy while minimizing detection blind spots by using multiple cameras.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.181-185
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• 2024

The purpose of this research is to investigate how purchase cycle of a product and bundle frame influence consumers' responses to the bundle promotion. In order to test hypotheses of this study, we conducted an experimental study that was a 2(Purchase cyle: Long vs. Short) X 2(Bundle frame: 1+1 vs. Buy2 and 50% off) between-subjects design. The reseults of this study showed the interaction effects of purchase cycle of product and bundle frame on perceived level of discount and product attitude. Based on the results, we provide theoretical implcations to extent the existing research regarding bundling promotion. Moreover, the results of this study suggest some practical implications and a new aspect about bunle promotions.

• Trans-
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• v.16
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• pp.107-133
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• 2024

Narratives are fundamental to human cognition and social culture, serving as the primary means by which individuals and societies construct meaning, share experiences, and convey cultural and moral values. The field of artificial intelligence, which seeks to mimic human thought and behavior, has long studied story generation and story understanding, and today's Large Language Models are demonstrating remarkable narrative capabilities based on advances in natural language processing. This situation raises a variety of changes and new issues, but a comprehensive discussion of them is hard to find. This paper aims to provide a holistic view of the current state and future changes by exploring the intersections and interactions of human and AI narrative intelligence. This paper begins with a review of multidisciplinary research on the intrinsic relationship between humans and narrative, represented by the term Homo narrans, and then provide a historical overview of how narrative has been studied in the field of AI. This paper then explore the possibilities and limitations of narrative intelligence as revealed by today's Large Language Models, and present three philosophical challenges for understanding the implications of AI with narrative intelligence.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.801-807
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• 2024

Linear motion robots are devices that perform functions such as transferring parts or positioning devices, and require high precision. In companies that develop linear robot application systems, human workers are in charge of quality control and fault diagnosis of linear robots, and the result and accuracy of a fault diagnosis varies depending on the skill level of the person in charge. Recently, there have been many attempts to utilize artificial intelligence to diagnose faults in industrial devices. In this paper, we present a system that automatically diagnoses linear rail and ball screw misalignment of a linear robot using transfer learning. In industrial systems, it is difficult to obtain a lot of learning data, and this causes a data imbalance problem. In this case, a transfer learning model configured by retraining an established model is widely used. The information obtained by using an acceleration sensor and torque sensor was used, and its usefulness was evaluated for each case. After converting the signal obtained from the sensor into a spectrogram image, the type of abnormality was diagnosed using an image recognition artificial intelligence classifier. It is expected that the proposed method can be used not only for linear robots but also for diagnosing other industrial robots.