• Title/Summary/Keyword: convergence study

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The Impact of Face Angle and Lighting Changes on Eye State Recognition Accuracy: A Comparative Evaluation of CNN, MediaPipe, and Dlib Performance

  • Jung Min Park;Dong Jun Hwang;Yun Chang Hwang;Ji Muk Lee;Hyo Young Shin;Kye Dong Jung;Cheol Young Go
    • International journal of advanced smart convergence
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    • v.13 no.4
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    • pp.210-221
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    • 2024
  • This study systematically analyzes the impact of face angle and lighting changes on eye state recognition technology and compares the performance of three technologies: CNN, MediaPipe, and Dlib. Specifically, the CNN-based approach utilizes a transfer learning model, Inception, to assess eye state recognition accuracy. With recent advancements in AI and computer vision technology, eye state recognition has become crucial in applications like driver drowsiness detection, user authentication, and medical monitoring. However, the performance of these technologies is greatly influenced by face angle and lighting conditions. This research evaluates the recognition accuracy of the three technologies under various face angles and lighting conditions, finding that CNN demonstrates robust performance against both lighting and angle variations. This study aims to provide fundamental data to improve the reliability of eye state recognition technology and to suggest future research directions.

Research on Idustrial Convergence Evaluation Model Using KSIC-IPC: Focusing on the automotive sector (KSIC-IPC를 이용한 산업융합 평가모형 연구: 자동차 분야를 중심으로)

  • Lee, Haeng Byoung;Han, Kyu-Bo;Lee, Jung Hoon
    • Journal of the Korea Convergence Society
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    • v.13 no.3
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    • pp.227-237
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    • 2022
  • With the growing interest in convergence, there have been various attempts to measure convergence, but the definition of convergence is ambiguous and consensus on appropriate indicators has not been reached, so measurement of convergence is still at a rudimentary stage. In this study, using the KSIC-IPC linkage table developed by the Korean Intellectual Property Office to analyze the correlation and impact of patents, industry, economy, and population, we propose a new evaluation model that can evaluate industry convergence from patent data. In addition, it was verified whether the industry convergence derived from this properly reflects the corporate convergence characteristics. As a result of classifying the convergence of 39,740 patents owned by global major automobile companies, and evaluating the degree of convergence of each company, it was confirmed that the industry convergence derived using the KSIC-IPC linkage table better reflects the corporate convergence characteristics than the technology convergence classified by IPC co-classification. Therefore, the industry convergence data of automotive sector derived from the new industry convergence evaluation model using the KSIC-IPC linkage table is expected to be widely used for future convergence research.

CONVERGENCE OF THE GENERALIZED IMPLICIT EULER METHOD

  • Yu, Dong-Won
    • Bulletin of the Korean Mathematical Society
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    • v.29 no.1
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    • pp.31-40
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    • 1992
  • We introduce the generalized Runge-Kutta methods with the exponentially dominant order .omega. in [3], and the convergence theorems of the generalized explicit Euler method are derived in [4]. In this paper we will study the convergence of the generalized implicit Euler method.

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A Study on the Options for Combining Functions for Convergence Products (컨버전스 제품 개발을 위한 기능의 결합 조건에 관한 연구)

  • Ryu, Seung Ho
    • Smart Media Journal
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    • v.2 no.4
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    • pp.41-50
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    • 2013
  • This study aims to propose three universal appropriate conditions, 'difference', 'planning', and 'freshness' for convergence products, and research their contents. 'Difference' means that combined functions have to be all different. 'Planning' indicates that combining different functions has to be proceeded in product development processes, so multiple usages human beings make in their daily lives have to be excepted. 'Freshness' explains that the values of combined functions are expanded by convergence. They are the elements to represent convergence products' functional characteristics and developing processes. They widen the range of convergence products by making in a number of various combining ways, and develop a lot of discourses based among social cultural backgrounds, concepts, and products. This study has shown that convergence is a product method that is managed by strict plans, strategies, and chosen functions. Convergence is a product development method with chosen functions, strict plans, and development strategies. Now, this study will lay the foundation for future works on product development strategies based on convergence.

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Exploring Convergence R & D area via Data-driven Tech mining: The case of landslide prevention technology linked to ICT (데이터 기반 테크마이닝(tech-mining)을 통한 융합 R&D 영역 탐색: ICT 기반 산사태 예방 기술 사례를 중심으로)

  • Choi, Jaekyung;Seo, Seongho;Kang, Jongseok;Chung, Hyunsang
    • Journal of the Korean Society of Industry Convergence
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    • v.22 no.5
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    • pp.483-490
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    • 2019
  • Due to the high complexity and diversity of the problems of the future society, it is getting harder to solve with the traditional single technology. In recent years, there has been a growing interest in convergence technology, which combines or connects different types of technologies to create new technologies and industries. In this study, we explored the convergence R&D area of ICT technology related to landslide prevention/response. It is true that the world has been exposed to various disasters due to recent climate change. As a result, there is a tendency to use Big Data and ICT for disaster preparedness and recovery. Especially, in the case of landslides, it is a natural disaster that requires research not only to study actual landslides but also to predict potential landslides. Therefore, in this study, we analyzed what kind of convergence R&D is being carried out in the field of ICT for preventing and responding to landslide. Therefore, in this study, Web of Science article data were analyzed by using the scientometric analysis and 51 landslide-related ICT convergence R&D areas were derived.

Learning Outcomes of Design and Software Convergence Major for Engineering Education Accreditation (공학교육인증을 위한 디자인과 소프트웨어 융합전공의 학습성과)

  • Choi, Ji-Eun;Jin, Sung-Hee
    • Journal of Digital Convergence
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    • v.17 no.5
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    • pp.51-63
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    • 2019
  • In the rapidly changing society since the Fourth Industrial Revolution, the cultivation of convergence talents that can solve complex problems is emerging as an important issue. The purpose of this study is to propose the core competencies required to establish the program learning outcomes of the engineering and education curriculum, which is the accreditation standard of engineering education proposed by ABEEK(Accreditation Board for Engineering Education of Korea). Case study methodology was applied to achieve the purpose of the study. The case of analysis is design and software convergence majors of domestic and foreign universities. The educational objectives and course syllabi were analyzed. As a result of the research, four core competencies to be achieved in the design and software convergence majors were derived in addition to the ten program outcomes presented by ABEEK. New core competencies are convergence ability, creative thinking, entrepreneurship, and design ability. The result of this study is expected to contribute to the development of the evaluation system for the convergence engineering education field.

A Study on the Comparison of Educational Effects between Convergence Majors and Single Majors in R Lecture

  • Ryu, Gui Yeol
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.18-24
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    • 2020
  • The purpose of this paper is an analysis of the difference between convergence majors and single majors in the convergence core competency and educational performance. We used survey data for the analysis of the convergence core competencies, the results of the midterm and final exams for the education performance. Analysis targets are 10 students in big data business intelligence at Seokyeong University as convergence majors and 11 students in business administration as single majors. The target course was an analysis of economic data provided in the second semester of 2019. And the lecture contents were analysis of big data using R programming. The survey was conducted on December 5, 2019. The convergence core competences were creative thinking, critical thinking, understanding convergence knowledge, problem solving ability, communication skills, cooperation ability, use of convergence tools, consideration, and responsibility. As results of homogeneity tests, we found that there was no significant difference in all competencies, but there were very significant differences in the educational performance evaluated by the midterm and final exams. Therefore we can see willingness to convergence of single majors was no different from that of convergence majors, but had not led to practice. It is desirable to activate and support convergence courses.

Case Study and Performance Analysis of IT Convergence Business Models for Defense Sector (국방 IT융합 비즈니스 모델 사례와 성과 분석)

  • Sim, Seungbae;Yoo, Cheonsoo;Hong, Sumin
    • Journal of Information Technology Services
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    • v.14 no.2
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    • pp.275-287
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    • 2015
  • Information technology (IT) convergence have been recognized one of the key drivers in the industry perspective. Especially, IT convergence have been one of the most important innovative way for defense sector. Korea government established IT convergence policy in 2008 and have been applying it to the core industry such as automotive, shipbuilding and defense industries. Recently, the creative vitamin project has been launched. Vitamin 'D' means the way to create the value of defense industry. This research analyzes and evaluates various IT convergence business models based on an operation of defense IT convergence center from 2011 to 2014, which is the industry IT convergence centers. Defense IT convergence business models can be classified into four types of mission area as follows : weapon acquisition and management, military intelligence, military power construction, and resources management. We define the concept of defense IT convergence and describe the framework and processes for applying IT to the defense sector. We analyzes and evaluates various business models designed through defense IT convergence framework and processes.