• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.159-168
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• 2021

As the information age enters, the use of biometrics using the body is gradually increasing because it is very important to accurately recognize and authenticate each individual's identity for information protection. Among them, finger vein authentication technology is receiving a lot of attention because it is difficult to forge and demodulate, so it has high security, high precision, and easy user acceptance. However, the accuracy may be degraded depending on the algorithm for identification or the surrounding light environment. In this paper, we designed and manufactured a side-type finger vein recognizer that is highly versatile among finger vein measuring devices, and authenticated using the deep learning model of DenseNet-201 for high accuracy and recognition rate. The performance of finger vein authentication technology according to the influence of the infrared light source used and the surrounding visible light was analyzed through simulation. The simulations used data from MMCBNU_6000 of Jeonbuk National University and finger vein images taken directly were used, and the performance were compared and analyzed using the EER.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.295-298
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• 2014

본 연구는 안드로이드 스마트폰 시스템을 기반으로 하여 점점 증가하는 프레젠테이션의 중요성 및 필요성에 따라 프레젠테이션을 효율적으로 진행하도록 돕는 무선 프리젠터 애플리케이션 개발에 관한 연구이다. 최근의 스마트폰은 휴대하기 편리한 특징과 다양한 기능들로 인해 빠른 속도로 보급되고 있으며, 여러 가지 기능의 센서가 내장되어 있다. 이러한 특징을 활용하여 별다른 기기 없이 스마트폰 자체를 무선 프리젠터로 사용할 수 있으며, 이에 대한 연구 및 개발들이 진행되고 있다. 하지만 기존의 프리젠터 애플리케이션들은 인터페이스가가 너무 복잡해서 사용하기 불편하거나, 혹은 인터페이스가 너무 단순하여 제한된 기능만을 가지는 단점을 가진다. 본 논문에서는 이러한 단점을 극복하기 위해서 제스쳐 인식을 활용하여 직관적으로 애플리케이션 사용이 가능하며, 멀티터치 제스처를 활용함으로써 다양한 기능을 수용할 수 있는 무선 프리젠터를 제안한다.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.605-616
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• 2020

The purpose of this study is to investigate the teacher's perception of maker education and to suggest the direction of teacher education curriculum for maker education in order to explore the possibility of applying maker education to early childhood education. To this end, a survey was conducted on the perception of maker education for preschool teachers. As a result of the data analysis, the perception of the concept, meaning, and educational environment of maker education were low, while the effectiveness, importance, value, continuous application and development of maker education were highly recognized and the necessity of maker teacher education and the educational environment was suggested. Based on the survey results, the teacher curriculum composition was classified into basic and advanced courses. The basic course included basic contents to understand maker education and maker space. The advanced course included information on how to use various tools, materials and digital media, how to conduct and evaluate maker education to apply maker education. The teacher curriculum composition for maker education can suggest basic directions for developing teacher education programs and strengthening the digital teaching competency of teachers in the future.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.276-277
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• 2008

본 논문에서는 효율성 높은 차선 인식 및 장애물 검출을 위한 알고리즘을 제안한다. 입력된 영상을 배경영상과 도로 영상으로 나눈 후 도로영역에서 Hough 변환을 이용하여 차선을 검출 하도록 한다. 또한 자동차의 그림자와 같은 특징 정보를 활용하여 주행 중인 차량을 검출한다. 영상의 잡음을 최소화하기 위한 알고리즘을 적용하여 파선 인식률을 높일 수 있는 방법을 연구한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.301-302
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• 2021

본 논문에서는 움직임 정보와 시공간 주의 정보를 심층신경망을 이용하여 함께 활용한 행동 인식 방법을 제안한다. RGB 영상을 입력으로 사용하는 기존 방법과 달리 제안하는 방법은 움직임 정보를 입력으로 사용하여 시간적 특징 및 시공간 주의 정보를 추출하고, RGB 영상에서 추출한 공간적 특징에 시공간 주의 정보를 고려하게 하여 행동 인식 정확도를 향상시킨다. 실험 결과를 통해 행동 분류 정확도 및 연산 효율성이 기존 신경망보다 우수함을 보인다.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1229-1236
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• 2022

In this paper, we studied accident-aware smart streetlights to prevent secondary accidents when driving on highways. It used Arduino and sensors to inform drivers of weather conditions, incorporated functions such as LED brightness control according to sunlight and night driving vehicles, and used Raspberry Pi camera OpenCV to learn various traffic accidents, natural disasters, and wildlife.

• Journal of The Korean Association For Science Education
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• v.42 no.5
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• pp.501-514
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• 2022

This study aims to reveal what is necessary for pre-service science teachers to make good use of online formative assessment in the context of online classes. For 22 pre-service physics teachers, first, the preliminary perception of online classes, online formative assessment, and formative assessment was investigated; second, the practice process of online formative assessment was examined. Then the differences between perception and practice were compared and analyzed. Data were collected in preliminary surveys, lesson plans, online formative assessment items, and interview data. As a result of the study, an interaction was mentioned as the difficulty of online classes in the preliminary perception, and pre-service teachers mentioned the use of technology, feedback, and adjustment as advantages of online formative assessment. In most cases of practice, the automated feedback was used using the platform's technology, but it did not lead to adjustment and interaction. In addition, the use of items in online formative assessment was not suitable for formative functions. The reason why the interaction using formative feedback did not occur seems to be because the understanding of formative assessment was insufficient. Pre-service teachers need to be prepared for the 'formative' function through the feedback of online formative assessment so that can lead to interaction in online classes. The shift to online classes is creating difficulties, especially in interaction. It is necessary to prepare and educate pre-service teachers on fundamental aspects that can overcome these difficulties.

• Communications of Mathematical Education
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• v.37 no.3
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• pp.497-516
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• 2023

The purpose of this study is to explore the possibility of enhancing teachers' pedagogical design capacity using ChatGPT. For this purpose, a survey was conducted to investigate preservice teachers' perceptions of ChatGPT, and lesson plans created using ChatGPT were analyzed from the perspectives of design elements, conversations with ChatGPT, and information transforming. The results showed that pre-service teachers have a rather passive attitude toward the use of ChatGPT, and that teacher moderation and ChatGPT characteristics affect pre-service teachers' perceptions of the use of ChatGPT. In addition, pre-service teachers mainly used ChatGPT for motivational activities and play activities, and there were significant differences in the level of utilization of ChatGPT among individuals, i.e., how they interacted with ChatGPT and how they transformed information. Based on these findings, we explored the possibility of using ChatGPT for teacher professional development and teacher education.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.637-647
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• 2020

Airports and civil aviation authorities have recently utilized and expanded the use of biometric technologies to respond proactively against the rapid changes in aviation terrorism due to scientific development. The Global Security Plan (GASeP) developed by the International Civil Aviation Organization (ICAO) is regarded as precondition for sustainable development of the global air transport industry. Thus GASeP has sought to improve aviation security system using biometic technologies. The purpose of this paper is to realize the equivalent access of aviation security system throughout the world with biometric technologies. First, this paper reviewed the current biometric-security system operated by the EU, USA and international society. Second, legal and institutional processes regarding personal biometric information were analyzed to suggest political implications. This paper concluded that ICAO should propose a global standardization and prepare guideline materials among its 193 member states to prevent aviation security breaches and to share related information on a real-time basis because time is required to utilize biometric technology to improve aviation safety and to develop global air transport.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.12
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• pp.555-560
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• 2021

Recently, as people's interest in facial skin beauty has increased, research on skin disease recognition for facial skin beauty is being conducted by using deep learning. These studies recognized a variety of skin diseases, including acne. Existing studies can recognize only the single skin diseases, but skin diseases that occur on the face can enact in a more diverse and complex manner. Therefore, in this paper, complex skin diseases such as acne, blackheads, freckles, age spots, normal skin, and whiteheads are identified using the Inception-ResNet V2 deep learning mode with multi-label classification. The accuracy was 98.8%, hamming loss was 0.003, and precision, recall, F1-Score achieved 96.6% or more for each single class.