• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.673-681
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• 2021

This study is a case study of artificial intelligence education subjects in the graduate school of education. The main educational contents consisted of understanding and practice of machine learning, data analysis, actual artificial intelligence using Entries, artificial intelligence and physical computing. As a result of the survey on the educational effect after the application of the curriculum, it was found that the students preferred the use of the Entry AI block and the use of the Blacksmith board as a physical computing tool as the priority applied to the elementary education field. In addition, the data analysis area is effective in linking math data and graph education. As a physical computing tool, Husky Lens is useful for scalability by using image processing functions for self-driving car maker education. Suggestions for desirable AI education include training courses by level and reinforcement of data collection and analysis education.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.401-409
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• 2021

This study is a case study of artificial intelligence education subjects in the graduate school of education. The main educational contents consisted of understanding and practice of machine learning, data analysis, actual artificial intelligence using Entries, artificial intelligence and physical computing. As a result of the survey on the educational effect after the application of the curriculum, it was found that the students preferred the use of the Entry AI block and the use of the Blacksmith board as a physical computing tool as the priority applied to the elementary education field. In addition, the data analysis area is effective in linking math data and graph education. As a physical computing tool, Husky Lens is useful for scalability by using image processing functions for self-driving car maker education. Suggestions for desirable AI education include training courses by level and reinforcement of data collection and analysis education.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.285-286
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• 2013

한식은 최근 한식세계화에 대한 관심이 높아지고 있는 가운데 웰빙을 지향하는 세계 식품소비의 트랜드에 부합하는 만큼 세계인이 함께 즐길 수 있는 음식으로 관심을 받고 있다. 외국인 대상으로 한식에 대한 인식을 살펴보면, 비빔밥은 불고기, 갈비와 함께 인지도 및 선호도가 높은 한국을 대표하는 전통음식이다. 이 중에서 한식의 주식에 해당하는 밥류의 비빔밥은 밥 위에 여러나물과 고기를 볶아서 한데 어울려 먹는 밥으로, 여러 가지 재료가 한 그릇에 고루 들어 있어 이것만으로도 충분히 영양적으로 균형 잡힌 한 끼의 식사로도 손색이 없다. 본 연구에서는 한식을 대표하는 비빔밥과 관련된 기존 연구를 통해 연구의 흐름을 파악하고 연구의 유형을 나누어 분석하였다. 이는 한식세계화를 지향하는 오늘날 세계로 뻗어나갈 비빔밥 연구에 기초자료로 활용될 것으로 판단된다.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.55-56
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• 2013

본 연구에서는 소비자의 지식 수준에 따른 향토음식 스토리텔링에 의한 행동의도를 알아보고자 하였다. 지금까지 우리나라 각 지역의 전통적인 식문화를 담고 있는 향토음식과 관련된 스토리텔링 연구를 살펴보면 대부분의 연구가 음식 스토리텔링의 필요성 제기, 음식 스토리의 소재 발굴, 미식 관광을 위한 스토리텔링의 중요성에 대한 연구에 머무르고 있다. 그러나 본 연구에서는 향토음식 스토리텔링이 소비자의 행동의도에 미치는 영향을 살펴보고자 향토음식과 관련된 지식에 기초하여 스토리텔링의 속성과 향토음식의 구매지역을 조절변수로 두었다. 최종적으로 지식의 정도가 낮으며, 구매지역이 일치하지 않는 경우 소비자들이 가장 선호하는 스토리텔링의 속성을 제시하고자 한다. 따라서 각 지역을 대표하는 향토음식의 스토리텔링을 발굴 또는 창작할 경우 향토음식의 문화적 가치를 향상시킬 수 있는 스토리텔링 개발 방법을 제시하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.389-390
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• 2023

본 논문에서는 파이썬 코딩 플랫폼에서의 LLM(Large Language Models)을 로직 및 문법 에러 확인, 디버깅 도구로 활용할 수 있는 시스템을 제안한다. 이 시스템은 사용자가 코딩 플랫폼에서 작성한 파이썬 코드와 함께 발생한 에러 문구 및 프롬프트를 LLM 모델에 입력함으로써 로직(문법) 에러를 식별하고 디버깅에 활용할 수 있다. 특히, 입문자를 고려해 프롬프트를 제한하여 사용의 편의성을 높인다. 이를 통해 파이썬 코딩 교육에서 입문자들의 학습 과정을 원활하게 진행할 수 있으며, 파이썬 코딩에 대한 진입 장벽을 낮출 수 있다.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.3
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• pp.238-255
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• 2023

In this study, we derived the characteristic factors of the cluster as measurable variables, and attempted to clarify the characteristics of the apparel sewing areas in Changsin-dong, Doksan-dong, and Jangwi-dong. Based on these results, a comparative analysis was conducted to see how the demand for the government's support policy differs for each agglomeration area. Materials were collected through face-to-face questionnaires targeting tenant companies in the three regions. As a result of the analysis, Changsin-dong was identified as an "innovative growth type," Doksan-dong as a "networking type," and Jangwi-dong as a "specialized localization type." As a result of the research on policy demands, the policy demands of the three agglomerations appeared different, but Changsin-dong preferred capacity building, Doksan-dong preferred information provision, and Jangwi-dong favored policy means of benefit. It was confirmed that even among clusters of the same apparel sewing industry, the formation process and characteristics are different, and as a result, the demand for policy instruments is also different. Policy recommendations include understanding the characteristics and policy demands of each agglomeration area through periodic fact-finding surveys, and recommending the establishment and implementation of differentiated support policies that match the characteristics of each agglomeration area.

• Journal of the Korea Computer Graphics Society
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• v.30 no.3
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• pp.171-178
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• 2024

Exercises using a Balance Board (BB) are effective in developing balance, strengthening core muscles, and improving physical fitness and concentration. In particular, the Smart Balance Board (SBB), which integrates with various digital content, provides appropriate feedback compared to traditional balance boards, maximizing the effectiveness of the exercise. However, most systems only offer visual and auditory feedback, failing to evaluate the impact on user engagement, interest, and the accuracy of exercise postures. This study proposes an Immersive Smart Balance Board (I-SBB) that utilizes multiple sensors to enable training with various feedback mechanisms and precise postures. The proposed system, based on Arduino, consists of a gyro sensor for measuring the board's posture, a communication module for wired/wireless communication, an infrared sensor to guide the user's foot placement, and a vibration motor for tactile feedback. The board's posture measurements are smoothly corrected using a Kalman Filter, and the multi-sensor data is processed in real-time using FreeRTOS. The proposed I-SBB is shown to be effective in enhancing user concentration and engagement, as well as generating interest, by integrating with diverse content.

• Information Systems Review
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• v.23 no.1
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• pp.155-172
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• 2021

With the recent increase in online product purchases, a recommender system that recommends products considering users' preferences has still been studied. The recommender system provides personalized product recommendation services to users. Collaborative Filtering (CF) using user ratings on products is one of the most widely used recommendation algorithms. During CF, the item-based method identifies the user's product by using ratings left on the product purchased by the user and obtains the similarity between the purchased product and the unpurchased product. CF takes a lot of time to calculate the similarity between products. In particular, it takes more time when using text-based big data such as review data of Amazon store. This paper suggests a hybrid recommendation system using a 2-phase methodology and text data mining to calculate the similarity between products easily and quickly. To this end, we collected about 980,000 online consumer ratings and review data from the online commerce store, Amazon Kinder Store. As a result of several experiments, it was confirmed that the suggested hybrid recommendation system reflecting the user's rating and review data has resulted in similar recommendation time, but higher accuracy compared to the CF-based benchmark recommender systems. Therefore, the suggested system is expected to increase the user's satisfaction and increase its sales.

• The Korean Journal of Food And Nutrition
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• v.24 no.1
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• pp.132-137
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• 2011

The objective of this study was to develop mixed seasoning products with Korean chili peppers(Capsicum annuum L.) and examine their characteristics based on a sensory evaluation. One-hundred chili pepper-related products were collected from American local favorites and analyzed for composition. Four different seasonings were prepared for the value-added seasoning products, and their sensory characteristics were measured. The Korean fish chili seasoning product showed higher overall acceptability, compared to local American seasoning(McCormick). The completed Korean chili seasoning products contained red pepper(20%), various herbs(31.7%), salt(11.5%), mushroom(8.6%), garlic(8.5%), curry, paprika(5.7%), and citron(2.8%). These results suggest the possibility of substituting mixed seasonings from foreign countries into Korean dishes.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.303-317
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• 2021

The purpose of this study is to analyze the competitiveness of OTT operators by developing an analysis framework specialized for the OTT industry. Based on existing research on business model, platform business model, and OTT characteristics, the OTT platform business model framework was developed, and case analysis was conducted based on data from related materials, literature, and internal data to suggest the direction for domestic OTT operators. As a result of the study, domestic OTT operators should use advanced AI and big data technologies to produce original content and improve the infrastructure and service quality of the platform. This study is meaningful in that it provides an analysis framework for OTT operators to establish their own competitive strategies and suggests the direction for domestic OTT operators through case application.