• Journal of the Korea Society of Computer and Information
• /
• v.27 no.12
• /
• pp.41-49
• /
• 2022

Documents often contain relative time expressions, and it is important to define a schema of the relative time information and develop a system that extracts such information from corpus. In this study, to deal with the relative time expressions, we propose seven additional attributes of timex3: year, month, day, week, hour, minute, and second. We propose a way to represent normalized values of the relative time expressions such as before, after, and count, and also design a set of rules to extract the relative time information from texts. With a new corpus constructed using the new attributes that consists of dialog, news, and history documents, we observed that our rule-set generally achieved 70% accuracy on the 1,041 documents. Especially, with the most frequently appeared attributes such as year, day, and week, we got higher accuracies compared to other attributes. The results of this study, our proposed timex3 attributes and the rule-set, will be useful in the development of services such as question-answer systems and chatbots.

• Journal of Practical Engineering Education
• /
• v.14 no.2
• /
• pp.361-366
• /
• 2022

Recently, with the development of virtual and augmented reality technology, metaverse is emerging as a new paradigm that will lead the next-generation internet era, and social and economic activities are spreading around the game, entertainment, music, and content industries. Moreover, as non-face-to-face conversion accelerated after the outbreak of COVID-19, lifestyles and industrial sites are becoming untact and further rapidly becoming a metaverse. In particular, the application of metaverse to the education field is attracting attention because realistic classes using real-time voice conversations using avatars, 3D objects, and 360-degree images can increase immersion and overcome the limitations of distance education. This study examines the concept of metaverse and examines that education using metaverse can be an alternative that can increase the efficiency of education in the non-face-to-face era. In particular, it shows that it is effective in language education and suggests an actual metaverse-based Korea language education program.

• KIPS Transactions on Software and Data Engineering
• /
• v.11 no.2
• /
• pp.101-106
• /
• 2022

Recently, virtual human has been widely used in various fields such as education, training, information guide. In addition, it is expected to be applied to services that interact with remote users in metaverse. In this paper, we propose a novel method to make a virtual human' interaction to perceive the user's surroundings. We use the editing authoring tool to apply user's interaction for providing the virtual human's response. The virtual human can recognize users' situations based on fuzzy, present optimal response to users. With our interaction method by context awareness to address our paper, the virtual human can provide interaction suitable for the surrounding environment based on automatic adaptation.

• Journal of the Korea Computer Graphics Society
• /
• v.28 no.1
• /
• pp.11-19
• /
• 2022

In this paper we present a new method for interactive segmentation of a triangle mesh by using the concavity-sensitive harmonic field and anisotropic geodesic. The proposed method only requires a single vertex in a desired feature region, while most of existing methods need explicit information on segmentation boundary. From the user-clicked vertex, a candidate region which contains the desired feature region is defined and concavity-senstive harmonic field is constructed on the region by using appropriate boundary constraints. An initial isoline is chosen from the uniformly sampled isolines on the harmonic field and optimal points on the initial isoline are determined as interpolation points. Final segmentation boundary is then constructed by computing anisotropic geodesics passing through the interpolation points. In experimental results, we demonstrate the effectiveness of the proposed method by selecting several features in various 3D models.

• Journal of Korean Elementary Science Education
• /
• v.41 no.1
• /
• pp.93-105
• /
• 2022

This study investigated the aspects of how three preservice elementary school teachers conducted the data-text transforming discourses in their science simulation teaching and how their epistemological conversations worked for learners' construction of scientific knowledge. Three preservice teachers, who had presented simulation teaching on the seasonal change of constellations, participated in the study. The results revealed that one preservice teacher, who had implemented the transforming discourses of data-to-evidence and model-to-explanation, appeared to facilitate learners' knowledge construction. The other two preservice teachers had difficulty helping learners construct science knowledge due to their lack of transforming discourses. What we should consider for improving preservice elementary school teachers' teaching competencies was discussed based on a detailed comparison of three cases of preservice teachers' data-text transforming.

• Journal of Industrial Convergence
• /
• v.21 no.1
• /
• pp.33-42
• /
• 2023

This study tried to suggest the most effective advertising copy strategy according to the value type of cosmetic brands. For this purpose, an experimental study was conducted using a 3(brand value) × 3(copy type) factorial design. The research results are as follows. First, in the case of luxury brands, monologue-type copy showed the highest advertising effect (advertising attitude and purchase intention). Second, in the case of premium brands, solicitation-type copy showed the highest advertising attitude. However, there was no significant difference in purchase intention.. Third, in the case of the scalpel brand, the interactive copy showed the highest advertising effect (advertising attitude and purchase intention). These results provided the theoretical basis that it is effective to differentiate and use the copy type according to the value type of the cosmetic brand, and it will be used in the copy strategy for practitioners who produce cosmetic advertisements.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.45 no.4
• /
• pp.109-117
• /
• 2022

Most of real-world decision-making processes are used to optimize problems with many objectives of conflicting. Since the betterment of some objectives requires the sacrifice of other objectives, different objectives may not be optimized simultaneously. Consequently, Pareto solution can be considered as candidates of a solution with respect to a multi-objective optimization (MOP). Such problem involves two main procedures: finding Pareto solutions and choosing one solution among them. So-called multi-objective genetic algorithms have been proved to be effective for finding many Pareto solutions. In this study, we suggest a fitness evaluation method based on the achievement level up to the target value to improve the solution search performance by the multi-objective genetic algorithm. Using numerical examples and benchmark problems, we compare the proposed method, which considers the achievement level, with conventional Pareto ranking methods. Based on the comparison, it is verified that the proposed method can generate a highly convergent and diverse solution set. Most of the existing multi-objective genetic algorithms mainly focus on finding solutions, however the ultimate aim of MOP is not to find the entire set of Pareto solutions, but to choose one solution among many obtained solutions. We further propose an interactive decision-making process based on a visualized trade-off analysis that incorporates the satisfaction of the decision maker. The findings of the study will serve as a reference to build a multi-objective decision-making support system.

• The Korean Journal of Archival Studies
• /
• no.75
• /
• pp.249-297
• /
• 2023

This paper is a study on the reading records in archives. This study views it from a different standpoint. Archivists can deal with reading service as narrative practices. Theater is the main motive of this study. Theater plan of archival services is a trial of narrative practices in archives. The main focus of this study is how to manage the archival theater in archives. Archivists can participate in the policies that will benefit society as a whole. The various readings in archives are acts of narrative practices. People have to get chance of reading records in archives.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.43 no.5
• /
• pp.675-687
• /
• 2023

The border area between the South and North Korea is considered a stage for promoting Green Détent through the transformation of the Demilitarized Zone into the Green Peace Zone. This paper proposes 'Prosuming-index' composed of items to evaluate the multi-layered nature of industrial and infrastructure projects in the ecological and environmental fields planned in the border area. Based on the prosuming-index, we derived the following four types of potential for Green Detent practice in the border area-first, the Incheon and Ganghwa regions as 'a logistics/human network and agricultural/fishery production area', second, the northern Gyeonggi region as a 'cooperative network area based on the smart technology industries', third, the western Gangwon and the parts of nothern Gyeonggi region, as 'a multiple prosumer's area based on carbon neutral technologies', lastly, the eastern Gangwon region, as 'a transition area from idle or aged infrastructure to green infrastructure through the renewable energy industries'.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.174-176
• /
• 2022

In this paper, we present a mobile application for 'personalized customized learning' for children with articulation disorders using an artificial intelligence (AI) algorithm. A dataset (Data Set) to analyze, judge, and predict the learner's articulation situation and degree. In particular, we designed a prototype model by looking at how AI can be improved and advanced compared to existing applications from the UX/UI (GUI) aspect. So far, the focus has been on visual experience, but now it is an important time to process data and provide a UX/UI (GUI) experience to users. The UX/UI (GUI) of the proposed mobile application was to be provided according to the learner's articulation level and situation by using CRNN (Convolution Recurrent Neural Network) of DeepLearning and Auto Encoder GPT-3 (Generative Pretrained Transformer). The use of artificial intelligence algorithms will provide a learning environment with a high degree of perfection to children with articulation disorders, thereby enhancing the learning effect. I hope that you do not have any fear or discomfort in conversation by improving the perfection of articulation with 'personalized and customized learning'.