• Journal of Practical Engineering Education
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• v.16 no.4
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• pp.567-575
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• 2024

This study was conducted to provide basic data on how to use Generative AI and education to strengthen Generative AI competency in vocational counseling by confirming the experience and perception of job counselors' use of Generative AI. A questionnaire was produced based on literature research and FGI preliminary surveys, and the main contents of the questionnaire were 'experience in using Generative AI (whether to have experience, type of tool, job, educational experience, etc.) and Generative AI recognition (recognition level, usefulness, availability, educational needs, etc.). An online survey was conducted for vocational counselors, and a total of 293 data were analyzed. As a result of major research, first, there were many counselors who had no experience in using Generative AI(60%), and the response that the reason for not using it was because they did not feel the need(28%). Second, the 'degree of recognition' in the Generative AI was somewhat low (M=2.77), and 'Generative AI usefulness' was found to be at a normal level (M=3.32), and it was recognized that it would be necessary mainly for jobs related to 'vocational information'. Third, 'tool (computer use, etc.) competency' (26%) was the highest as the competency required for future vocational counselors, and 'how to use Generative AI' (57%) accounted for a high proportion of the educational content necessary to improve these competencies.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.10
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• pp.883-892
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• 2021

This paper provides a process for developing deep learning-based aerial object detection models that can run in realtime on onboard. To improve object detection performance, we pre-process and augment the training data in the training stage. In addition, we perform transfer learning and apply a weighted cross-entropy method to reduce the variations of detection performance for each class. To improve the inference speed, we have generated inference acceleration engines with quantization. Then, we analyze the real-time performance and detection performance on custom aerial image dataset to verify generalization.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.493-507
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• 2018

This study examined characteristics and usefulness of middle-aged and older people's vocational training participation. Among sub-age groups categorized by the position in career cycle and the employability, 61~68 year old group(after retirement age group) had the biggest difficulties on the training including computer-based training and showed the lowest employment result compared to other sub age groups; major career(30~45), career transition preparation(46~52), career transition(53~60). However, the career transition age group utilized vocational training in the aspect of career search and the after-retirement age group in the aspect of preparation for older age and hobby. On the other hand, factors such as career adaptability and perceived education difficulties affected on the training usefulness in the aspects of career search and preparation for older age and hobby while perceived career barriers, career relevancy and relationship ability affected on the employment result. Based on these findings, this study suggests that vocational training provide more suited course for the boundaryless career seekers and include relationship enforcement and positive attitude development to overcome perceived career barriers for middle-aged and older people.

• The KIPS Transactions:PartC
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• v.14C no.1 s.111
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• pp.105-114
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• 2007

In sensor network processing environments, current location tracking methods have problems in accuracy on receiving the transmitted data and pinpointing the exact locations depending on the applied methods, and also have limitations on decision making and monitoring the situations because of the lack of considering context-awareness. In order to overcome such limitations, we proposed a method which utilized context-awareness in a data processing module which tracks a location of the magnetic object(Magnetic Line Tracer) and controlled introspection data based on magnetic sensor. Also, in order to prove its effectiveness we have built a wireless sensor network test-bed and conducted various location tracking experiments of line tracer using the data and resulted in processing of context-aware data. Using the new data, we have analyzed the effectiveness of the proposed method for locating the information database entries and for controlling the route of line tracer depending on context-awareness.

• Journal of Christian Education in Korea
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• v.66
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• pp.209-241
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• 2021

The purpose of this study is to provide Christian educational implications for young adult ministry by analyzing the reasons why young people move to church and give up their faith. In this study, data from ARRC research in 2021 were used, and 1017 youths(male: 409, female:608) nationwide were used as analysis targets. Through this study, the reasons for the intention of young people to move to church and give up their religious life were identified. Through this study, it was investigated that young people in Korean churches left the church or gave up their faith due to the factor of pastor, the factor of youth community, the factor of personal faith, the factor of church culture, and the factor of compulsory devotion. Based on these results, five important Christian educational implications for youth ministry were suggested.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.219-220
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• 2018

본 논문에서는 안드로이드 센서를 활용하여 청각장애인을 위한 소리감지 어플리케이션을 설계하고 구현한다. 이 어플리케이션 메뉴는 백그라운드 실행 유지와 특정 데시벨 이상의 음성인식 동작으로 구성한다. 백그라운드 유지 실행 유지는 스마트폰의 어플리케이션 작동 시 다른 어플리케이션을 활용할 수 있도록 편의성을 증진하며, 특정 데시벨 이상의 음성인식을 통하여 일상적인 소리가 아닌 화재나 재난 상황 시 발생하는 경보기소리나 아이 울음소리, 초인종 소리 등 사운드를 통한 인식이 중요시 되는 상황에서 청각장애인들을 위한 진동과 빛 센서를 활용하여 사용자들이 주변 상황을 감지하도록 구현한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.608-610
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• 2019

현재 손 모션 인식 기술을 활용한 응용 서비스가 많이 나타나고 있다. 립 모션으로 사용자의 손동작을 인식하여 나타나는 행동결과를 통해 3D 오브젝트를 편집하는 형태의 기술을 활용하여 3D 퍼즐을 맞춘다. 입체적인 3D 퍼즐을 함으로써 사용자는 다방면으로 교육적인 결과를 얻을 수 있으며, 유아들을 대상으로 공간지각능력, 두뇌 활성화에 효과적이다. 이에 본 논문에서는 개발 환경 및 테스트와 3D 퍼즐에서 사용하게 될 손동작 관련 기술에 대해 연구하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.237-239
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• 2021

본 논문에서는 YOLO 시스템을 사용하여 보조 보행 기구를 인식 한 후 자동문 속도 조절에 대한 방법을 제안한다. Visual studio, OpenCV, CUDA를 활용하여 보조 보행 기구를 인식이 가능하게 신경망 훈련 및 학습 한 데이터를 기반으로 Raspberry Pi, 카메라 모듈을 활용하여 실시간 모니터링을 통해 보조 보행 기구를 인식하여 자동문의 속도를 조절을 구현했다. 이로써 거동이 불편한 장애인은 원활하게 건물 출입이 가능하다.

• Journal of Korean Elementary Science Education
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• v.43 no.1
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• pp.81-94
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• 2024

This study explores and conducts an in-depth comparison of the epistemic characteristics in different data types utilized in the science inquiries of preservice teachers regarding noise as a risk in everyday life. Focusing on primary and secondary data in the context of science inquiries about noise, we examined how these data types differ in science inquires in terms of inquiry design, data collection, and analyses. The findings reveal that sensor-based primary data enable direct measurement and observation of key phenomena. Conversely, secondary data rely on predetermined measurement methods within a public data system. These differences require different epistemic considerations during the inquiry process. Based on these findings, we discuss the educational implications concerning teaching approaches for science inquiries, teacher education for inquiry teaching, and the development of risk response competencies in preparation for the VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) era.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.5
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• pp.153-164
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• 2016

It is critical for adolescents to foster self-efficacy, creativity, and adventurous spirit as well as plans for appropriate career path in order to become good members of society. During this adolescent period, newspapers will be a good learning material as they deliver various and timely information in refined language. In this paper, we analyzed the impact of NIE on development of self-efficacy, awareness of career path, and entrepreneurship through comparing adolescents who regularly read newspapers with those who do not. We came up with the following result after analysis of surveys (with a sample size of 283) that targeted middle school and higher grade elementary school students across Korea. We confirmed that reading newspapers has a positive impact on development of self-efficacy, awareness of career path, and entrepreneurship. More specifically, reading newspapers regularly has a positive impact on development of self-efficacy that subsequently has a positive impact on development of awareness of career path and entrepreneurship. Therefore, we found that simply reading newspapers regularly has a positive impact on development of self-efficacy, awareness of career path, and entrepreneurship with no special programs utilizing the newspapers. This is because various information and opinions in newspapers help adolescents to develop their own views, improve understanding and awareness of career, and development of sociality including creativity and adventurous spirit. There is the meaning as the first research that this research checks what the NIE of the adolescents affects the positive impact to not only the self-efficacy and career awareness but also entrepreneurship.