Earticle

연구목적: 본 연구는 작업자 안전을 고려하고 제조기업의 생산성 향상, 품질 향상을 위해 디지털 트윈 기반의 AI 비전, 제조 실행 시스템, 위치 측위 기술을 활용한 지능형 제조공정 통합 모니터링 시스템을 개발하는데 목적이 있다. 연구방법: 제조공정 특성상 사출성형기 기반의 생산 작업을 고려하여 생산라 인 구조에 맞는 설계 및 적용을 통해 불량품 검출에 특화되도록 실시간 영상 기반의 AI 감지 기술을 적 용하였다. 연구결과: 제안된 방법을 통해 시스템 개발 및 적용하였고, 시스템 도입 전/후 생산 PPM 비교 하여 불량률 감소에 따른 생산성 향상을 확인하였다. 또한, 시스템 응답 속도 측정을 통해 현장 사고 발생 시 신속한 초기대응 및 상황전파가 가능한 것을 확인하였다. 결론: 본 연구의 시스템은 다양한 제조기업 이 제조공정 시스템 도입 시 의사결정을 지원하는 기초자료로 활용될 수 있을 것으로 기대된다.

Purpose: This study aims to enhance productivity in manufacturing companies while prioritizing worker safety and developing a digital twin-based AI vision to improve quality, creating manufacturing execution systems, and implementing an integrated monitoring system for intelligent manufacturing processes that leverages location positioning technologies. Method: Considering the characteristics of the manufacturing process, particularly for tasks involving injection molding machines, real-time video-based AI detection technology was applied to tailor its design and application to the production line structure, enhancing the specialized detection of defective products. Result: Using the proposed method, the system was developed and implemented, and a comparison of production PPM before and after its adoption demonstrated increased productivity due to reduced defect rates. Additionally, measurements of system response speed confirmed its ability to provide a swift initial response and rapidly disseminate information in the event of an on-site accident. Conclusion: The system developed in this study is expected to serve as a foundation for supporting decision-making in the implementation of manufacturing process systems across various companies.

The Fourth Industrial Revolution and the proliferation of artificial intelligence (AI) are transforming the structure of education, and EduTech has become a key area of educational innovation. This study aims to analyze unstructured data from 2020 to 2025 to identify the time-series changes in AI-based EduTech and suggest a structural direction for the Artificial Intelligence-based Digital Transformation for Education (AIDX). LDA, BERTopic topic modeling, and social network analysis (SNA) were applied to identify relationships between key topics and keywords. The analysis revealed that EduTech has evolved from its initial focus on "AI learning systems" to encompass "generative AI," "personalized learning," and "AI ethics," evolving into an intelligent ecosystem that combines technology, industry, and policy. These results demonstrate that AIDX is moving beyond simple technology adoption and is acting as a structural driver of educational innovation.

Translational research (TR) as high quality research can accelerate collaboration strongly between biotechnology- based researchers and clinical-research experts for overcoming diseases. TR facilitates basic science translated to clinical efficacy and effectiveness from bench (basic science) to bedside (clinical practice) for the enhancement of human health. Disease-oriented TR programs were defined as unilateral, bilateral and multilateral TR in this patent performance analysis. Patent performance was measured in a R&D project on Health and Medical Technology to enhance the productivity of R&D investment on disease-oriented TR in Health Technology (HT). Patent Map (PM) analysis and Bibliometrics were conducted to collect information for the assessment of research patents of TR programs. Futhermore, PIAS (Patent Information Analysis System) and Thinklear programs were applied for quantitative and qualitative analysis successfully. These indicate that multi-dimensional analysis of patent performance for disease-oriented TR could promote the connection of R&D-IP (Research and Development-Intellectural Property) and R&BD (Research and Business Development) supporting system significantly.

The aim of the present study was to develop smart ventilated chemical cabinets by applying Internet of Things (IoT) technology to existing ventilated cabinets, thereby reducing costs. To this end, methods for the selection of temperature, humidity, and volatile organic compound (VOC) sensors, and microcontroller units (MCUs) suitable for ventilated chemical cabinets were proposed. A method for the selection of human-machine interface (HMI) hardware for monitoring was also presented. Based on an algorithm for sensor reference values, methods for setting and linking HMIs and smartphones were proposed; the communication method proposed for the present study was a Wi-Fi module. Hazardous gas monitoring by smartphone achieved 20% higher VOC detection accuracy than the conventional method, and had the advantages of real-time data transmission and notifications. This will allow managers and researchers to remotely check the status of the laboratory and immediately respond to warnings about abnormalities. In conclusion, a prototype method for the development of low-cost smart ventilated chemical cabinets using IoT technology was proposed. This technology will reduce the maintenance costs and improve the management efficiency of laboratories compared with the conventional method.

This study analyzed cases that applied hologram technology in the fashion industry in order to provide basic information for research on fashion marketing using hologram technology. The results of this study are as follows. A hologram was applied to fashion businesses in various ways including fashion shows, outdoor signboards, hologram windows or screens in stores, and launching shows or exhibitions. Most of these cases were foreign fashion brands, which utilized hologram technology actively for formulating a new brand image or for advertising products. Among Korean brands, however, there are not many cases of hologram application. Today, as-being the age of smart devices, the mobile advertisement market is growing rapidly among smart phone users. DKNY and Puma are providing information on styling through smart phone applications, and the Adidas stores in Germany also allow the customers to buy goods by entering a simple code through the smart phone. Recently, new devices are being introduced one by one, which display 2D digital contents in 3D holograms by combining mobile and hologram technologies. The marketing of fashion products is not just for supplying products but is required to satisfy the consumers' five senses. Therefore, the development of experiential contents based on the combination of mobile and hologram technologies will open new potential for profitable business models.

최근 다양한 분야에서 빅데이터 활용방안을 연구 중이다. 빅데이터는 기존의 방법으로는 다룰 수 없었던 방대한 분량의 데이터를 말한다. 빅데이터는 의사결정의 정확도 제고, 가까운 미래예측 그리고 새로운 비즈니스 창출가능이라는 점에서 주목을 받고 있다. 본 연구는 기술사업화분야에서의 빅데이터 활용방안 제안을 그 목적으로 하였다. 그리고 이를 위해서 문헌연구와 사례연구 그리고 그룹인터뷰를 진행하였으며, 이들을 바탕으로 기술사업화분야에서의 빅데이터 활용방안을 도출하였다. 빅데이터 활용방안은 기술사업화 프로세스의 5단계(착상, 보육, 시연, 촉진, 지속)별로 제시하였다. 본 연구는 기술사업화분야에서의 빅데이터 활용의 가능성을 제시했다는 점에서 의의가 있으며, 연구 방법상 일반적 해석에는 한계가 있을 수 있다고 생각한다. 그리고 본 연구가 기술사업화 정보 분석의 영역 확대에 기여할 수 있을 것으로 기대한다.

Recently, big data have been studied ways to use in various fields. Big data refers to huge amounts of data that could not be addressed by conventional methods. Big data has attracted attention for improving accuracy of decision-making, forecasting in the near future, and creation of new business. In this study, it is an object to develop the utilization plan for big data in the field of technology commercialization. For this reason, we conducted study like case studies, literature review and focus group interview. We have derived the big data utilization plan based on this in the technology commercialization field. It, the data utilization plan, combines with the technology commercialization process of Jolly and it has five sub processes (Imagining, Incubating, Demonstrating, Promoting, Sustaining). In this paper, there is a significance that has emphasized the possibility for big data utilization in the technology commercialization. However, there is a limit to the general interpretation for our study. And we hope to contribute to the expansion of areas of technology commercialization information analysis through this research.

이 연구는 최근 10년간 커뮤니케이션 분야에서 기술수용모델(Technology Acceptance Model) 을 적용한 46편의 연구 결과들을 전체적으로 함께 조망해 보는 메타분석을 실시하였다. 기존의 메타 연구들은 종합적 혹은 분석적 방법 중 한 가지만을 선택하여 분석하였으나, 이 연구는 두 방법을 모두 사용하여 관련 연구 결과를 분류하고 재분석하였다. 연구 목적 분석 결과, 가설을 활용한 설명적 연구가 대다수를 차지하였다. 조사 대상으로는 학생을 대상으로 한 편의적 표본보다는 일반인을 많이 사용하였으며, 약 36가지의 기술 분야를 연구 대상으로 삼았다. 기술수용모델 확장을 위해 약 110개 정도의 변인들이 연구 되어졌다. 기술수용모델의 구성 요인에 대한 효과 크기를 분석한 결과, 모두 유의미한 상관관계를 보였으며, 효과 크기 또한 대부분 큰 수준이었다. 유용성이 사용용이성보다 태도 및 의도와의 관계에 있어 모두 높은 효과 크기를 가지는 것으로 나타났다. 가장 높은 효과 크기를 보인 것은 태도와 의도와의 관계였으며, 다음으로는 유용성-태도, 유용성-의도, 유용성-사용용이성, 사용용이성-의도, 사용용이성-태도의 순으로 나타났다. 결과를 바탕으로 이론적 실무적 함의가 논의 되었다.

This study conducted a meta-analysis to look at the results of 46 studies that applied the Technology Acceptance Model in the field of communication over the past 10 years. Existing meta-studies were analyzed using only one of the comprehensive or analytical methods, but this study used both methods to classify and reanalyze related research results. As a result of analyzing the research purpose, the majority was explanatory research using hypotheses. The general public was used rather than a convenience sample of students as the research subjects, and approximately 36 technical fields were studied. About 110 variables were studied to expand the technology acceptance model. As a result of analyzing the effect sizes of the components of the technology acceptance model, all of them showed significant correlations, and most of the effect sizes were large. Usefulness was found to have a higher effect size in its relationship with attitude and intention than ease of use. The one that showed the highest effect size was the relationship between attitude and intention, followed by usefulness-attitude, usefulness-intention, usefulness-ease of use, ease of use-intention, and ease of use-attitude. Based on the results, theoretical and practical implications were discussed.

본 연구는 창의적 인재 육성을 목표로 한 2015 개정 교육과정 중 초등 영어과에서 학습자의 창의력 신장을 위한 창의 교육 프로그램을 개발, 적용해 보고자 하였다. 특히 디자인 씽킹과 flipped learning 모형에 기초하여 미래 교육에 필요한‘모바일 기술’과 ‘창의적 사고’를 결합하여 초등학교 4학년 영어과의 4차시 프로그램을 개발한 후 그 효과를 분석하였다. 그 결과, 참여 학생들의 교과 흥미, 교과 가치, 교과 학습 자기효능감은 통계적으로 유의하지 않았지만 점수가 높아졌으며, 창의 역량에 대해서는 통계적으로 유의한 차이를 보였다. 따라서 본 프로그램은 초등 영어과에서 창의적인 정보 수집과 해결방안, 아이디어 생성 등 학습자들의 창의 역량을 높이는데 효과적이었다. 초등 영어과에서 창의 교육의 확산적 실천을 위해 서는 모바일 기술 활용 등의 학습 기회 확대 및 교실 환경 구축, 교사 연수 등이 필요하며, 동시에 보다 다양한 초등 영어 창의교육 프로그램의 개발 필요성을 제안한다.

This study aimed to develop and apply a program to improve elementary students’ creativity in the English subject reflecting the revised 2015 version of national curriculum, in order to foster creativity and talents persons. Four lessons of lessons for 4th grade students were developed, and assisted with mobile technology and creative thinking methods based on the design thinking and flipped learning models, and analyzed the effects. The results showed that the scores in the areas of interest of subject, value of subject, and learning self-efficacy showed positive increase, but not statistically significant though, whereas the score in competency for creativity showed statistically significant difference. The results showed the program was effective to improve competency for creativity in terms of creative information collection and solution, and idea generation. It is needed to provide more opportunities for students to utilize mobile technology and to adapt into classroom, and to expand creativity education further in the English subject in elementary schools.