• Proceedings of the Korea Information Processing Society Conference
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• 2001.10a
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• pp.635-638
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• 2001

증강현실은 사용자가 보고 있는 실세계의 영상과 컴퓨터가 생성한 가상의 영상이 실시간으로 합성된 영상을 제공하여 사용자에게 실세계에 대한 이해 및 현실감을 높여 줄 수 있는 기술로서 국방, 의료, 교육, 건축설계, 게임, 방송 등 여러 응용 분야에서 연구가 진행 중이거나 활용 중에 있다. 증강현실에서 실세계의 대상 물체들과 관련된 부과 정보의 실시간 정합 기술은 매우 중요하다. 본 논문은 옥외 실험 환경에서 실시간 정합을 위해 지역 및 전역 트래커의 오차에 대한 보정방법과 지역 및 전역 트래커의 데이터를 이용한 실세계 영상 및 부과 정보 영상의 시점 계산 방법을 소개한다.

• Journal of the Semiconductor & Display Technology
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• v.21 no.4
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• pp.77-80
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• 2022

Automatic Vision Inspection (AVI) systems automatically detect defect features and measure their sizes via camera vision. It has been populated because of the accuracy and consistency in terms of QC (Quality Control) of inspection processes. Also, it is important to predict the performance of an AVI to meet customer's specification in advance. AVI are usually suffered from false negative and positives. It can be overcome by providing extra information such as 3D depth information. Stereo vision processing has been popular for depth extraction of the 3D images from 2D images. However, stereo vision methods usually take long time to process. In this paper, retro optical system using reflectors is proposed and experimented to overcome the problem. The optical system extracts the depth without special SW processes. The vision sensor and optical components such as illumination and depth detecting module are integrated as a unit. The depth information can be extracted on real-time basis and utilized and can improve the performance of an AVI system.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1150-1153
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• 2010

정보시스템의 취약성을 사전에 예방하고 보안을 강화하기 위해 여러 가지 방안이 제시되고 있다. 본 연구에서는 소프트웨어의 소스코드 수준에서의 보안성을 확보하기 위해 소스코드 자체의 보안 위험성을 검사하는 도구를 제안한다. 개발자에 의해 무심코 사용되는 위험 함수들을 검출하고 그 대안을 제시하여 소프트웨어 내부에 잠재되는 보안 위협을 예방하는 도구를 개발하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.526-527
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• 2020

본 연구는 대중교통 활용도를 높이고자 효율적인 버스 환승지 추천 서비스를 설계한다. 제주데이터 허브에서 입수한 승하차데이터를 처리하여 승객수와 버스의 정류장 도착시간 등을 예측함은 물론 인터넷 연결을 통해 버스정보시스템과 연동하여 현재의 교통상황을 실시간으로 입수하여 효율적인 환승지를 추천한다. 승객은 변동되는 교통상황에 따라 이동중에도 더 좋은 환승 노선으로 변경할 수 있으며 데이터센터 관점에서는 축적되고 있는 버스 데이터의 활용도도 높일 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1132-1135
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• 2021

본 논문에서는 머신러닝 시스템에 심각한 오류를 발생시킬 수 있는 적대적 샘플을 제작하고, 이를 이용한 적대적 공격을 효과적으로 예방하고 방어할 수 있는 Adversarial Training 기반의 AI 백신을 개발하였으며, 본 논문이 제안하는 AI 백신이 적대적 샘플을 올바르게 인식하고 AI 공격 성공율을 현저하게 낮추는 등 강인성을 확보한 것을 실험을 통해 입증하였다. 아울러 스마트폰을 통해 수행결과를 확인할 수 있는 어플리케이션을 구현하여, 교육 및 시연 등을 통해 적대적 AI 공격에 대한 심각성을 인식하고 해당 방어과정을 명확히 이해할 수 있도록 하였다.

• Journal of the Semiconductor & Display Technology
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• v.23 no.1
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• pp.19-24
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• 2024

It is not an exaggeration to say that a single fire causes a lot of damage, so fires are one of the disaster situations that must be alerted as soon as possible. Various technologies have been utilized so far because preventing and detecting fires can never be completely accomplished with individual human efforts. Recently, deep learning technology has been developed, and fire detection systems using object detection neural networks are being actively studied. In this paper, we propose a new fire detection system that improves the previously studied fire detection system. We train the YOLOv8 model using refined datasets through improved labeling methods, derive results, and demonstrate the superiority of the proposed system by comparing it with the results of previous studies.

• Korean Journal of Cognitive Science
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• v.11 no.2
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• pp.1-10
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• 2000

Realistic facial animation research field which communicates with human and computer using face has increased recently. The human face is the part of the body we use to recognize individuals and the important communication channel that understand the inner states like emotion. To provide the intelligent interface. computer facial animation looks like human in talking and expressing himself. Facial modeling and animation research is focused on realistic facial animation recently. In this article, we suggest the method of facial modeling and animation for realistic facial synthesis. We can make a 3D facial model for arbitrary face by using generic facial model. For more correct and real face, we make the Korean Generic Facial Model. We can also manipulate facial synthesis based on the physical characteristics of real facial muscle and skin. Many application will be developed such as teleconferencing, education, movies etc.

• Journal of the Korea Society of Computer and Information
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• v.16 no.6
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• pp.99-109
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• 2011

Ubiquitous computing technology makes an impact on the appearance of u-learning and presents an advanced direction of futuristic school education. In ubiquitous learning environments, various embedded computational devices will be pervasive and interoperable across the network for supporting the learning, so users may utilize these devices anytime anywhere. An important next step for ubiquitous learning is the introduction of context-aware learning service that employing knowledge and reasoning to understand the local context and share this information in support of intelligent learning services. However, the existing studies on design and application of ontology context model to support context-aware service in actual school environments are incomplete state. This paper, therefore, suggests a scheme of constructing ubiquitous learning space for existing school network by introducing USN to support context-aware ubiquitous learning services. This paper, also, designs an ontology based context model for ubiquitous school environments which describes context information through OWL. To determine the suitability of proposed ubiquitous learning space and ontology context model, we implement some of context-aware learning services in the ubiquitous learning environments.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.10
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• pp.243-250
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• 2018

In this study, we developed career guidance guidelines in order to support professors in guiding the career development of female students in engineering programs. Focus Group Interview (FGI) was conducted by a group of experts composed of 7 professors at the department of computer engineering in order to identify the current status and draw guidelines. It was found that the female students of engineering college were required to improve their efficacy, strengthen their major competency, improve their practical job competency, cultivate basic competency, and provide guidance on specific employment information. Then, we suggested the five elements of each grade and checklists focusing on five elements and proposed the forms so that they can be easily utilized in actual career guidance. At two expert meetings, the validity of the guidelines and the forms were verified and revised. Finally, we suggested a way to streamline the application of these guidelines.

• Journal of The Korean Association of Information Education
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• v.23 no.5
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• pp.481-489
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• 2019

In order to explore the learning attitude of the learners and the effects of conscious learning attitudes on academic achievement in On-line education system of open high school, we analyze the log data of 2,965 first graders who studied English, Math, Integrated Society and Integrated Science during the first semester of 2018. This study examines the learning status according to the learner's background variables, and analyzes the number of lessons per hour, learning progress rate, learning period, learning start month, and formative evaluation results for each class. In addition, to verify the effects of conscious learning attitude on academic achievement, skewness and kurtosis are calculated by using learning frequency values for each class. As a result, in almost all fields, the average number of lessons per class, study duration, progress rate, and grades, women are higher than men. In addition, the older ones are, the higher they are and the Seoul area is higher than the other area. The average learning period is 2~3 months, and the longer the learning period, the higher the formative evaluation score. Lastly, even though the number of learning is lower than that of learners who concentrate on a certain period of time, the formation scores of learners who learn consciously are higher.