• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.143-148
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• 2024

Traffic congestion has caused issues in various forms such as the environment and economy. Recently, an intelligent transport system (ITS) using artificial intelligence (AI) has been focused so as to alleviate the traffic congestion problem. In this paper, we propose a reinforcement learning-based traffic signal control algorithm that can smooth the flow of traffic while reducing discomfort levels of drivers and pedestrians. By applying the proposed algorithm, it was confirmed that the discomfort levels of drivers and pedestrians can be significantly reduced compared to the existing fixed signal control system, and that the performance gap increases as the number of roads at the intersection increases.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.765-777
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• 2022

The purpose of this study is to present a digital transformation-based learning model that can be used in universities based on learning digital transformation in order f to be competitive in a rapidly changing environment. Literature review, case study, and focus group interview were conducted and the implications for the learning model from these are as follows. Universities that stand out in related fields are actively using learning analysis to implement dashboards, develop predictive models, and support adaptive learning based on big data, They also have actively introduced advanced edutech to classes. In addition, problems and difficulties faced by other universities and K University when implementing digital transformation were also confirmed. Based on these findings, a digital transformation-based learning model of K University was developed. This model consists of four dimensions: diagnosis, recommendation, learning, and success. It allows students to proceed with learning by diagnosing and recommending various learning processes necessary for individual success, and systematically managing learning outcomes. Finally, academic and practical implications about the research results were discussed.

• 한국정보교육학회:학술대회논문집
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• 2004.08a
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• pp.321-329
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• 2004

사이버 가정학습은 오늘날 학교교육에서 발생하는 많은 문제점을 해결할 수 있는 새로운 교육방법으로서의 잠재력을 갖고 있다. 본 연구에서의 평가시스템은 사이버 가정학습 체제에서 학습자의 수준에 반응하는 즉, 학습자의 성취도를 가장 정확하게 측정할 수 있는 문제를 추출하고 피험자의 수준에 알맞게 평가의 길이, 내용을 제시하며 평가 결과에 따라 난이도를 조절 할 수 있는 평가시스템이다. 그리고 IRT 기법을 사용하여 피험자의 능력 수준을 알기 위하여 준비된 모든 문항을 해결하지 않고 피험자의 능력 수준에 의해 선택된 몇 개의 문항만으로 피험자의 능력 수준을 측정할 수 있도록 하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.11a
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• pp.110-113
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• 2019

본 논문에서는 임베디드 시스템에서의 양자화 기계학습을 수행할 경우 발생하는 양자화 오차를 효과적으로 보상하기 위한 방법론을 제안한다. 경사 도함수(Gradient)를 사용하는 기계학습이나 비선형 신호처리 알고리즘에서 양자화 오차는 경사 도함수의 조기 소산(Early Vanishing Gradient)을 야기하여 전체적인 알고리즘의 성능 하락을 가져온다. 이를 보상하기 위하여 경사 도함수의 최대 성분에 대하여 직교하는 방향의 보상 탐색 벡터를 유도하여 양자화 오차로 인한 성능 하락을 보상하도록 한다. 또한, 기존의 고정 학습률 대신, 내부 순환(Inner Loop) 없는 비선형 최적화 알고리즘에 기반한 적응형 학습률 결정 알고리즘을 제안한다. 실험결과 제안한 방식의 알고리즘을 비선형 최적화 문제에 적용할 시 양자화 오차로 인한 성능 하락을 최소화시킬 수 있음을 확인하였다.

• Electronics and Telecommunications Trends
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• v.26 no.1
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• pp.36-46
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• 2011

급변하는 사회 환경과 기술 변화에 적응하기 위해 평생 교육에 대한 관심이 높아지고 있으며 이러한 욕구를 충족시키기 위한 새로운 개념의 e-러닝 기술에 대한 연구가 활발히 진행중이다. 또한 기존의 단순한 정보 전달 수준을 뛰어 넘어 학습자가 직접 참여하고 체험할 수 있는 고품질의 인터랙티브 e-러닝 콘텐츠에 대한 요구가 증대되고 있다. 본 고에서는 최근 이슈가 되고 있는 증강 현실 학습 기술, 가상현실 학습 기술, 시뮬레이션 학습 기술, 맞춤형 학습 기술 등 e-러닝 요소 기술 개발 현황에 대해 살펴보고 관련 기술 동향을 분석한다. 또한 e-러닝 기술 관련 표준화 동향에 대해서도 살펴본다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.5
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• pp.42-48
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• 2011

Agent acts for specification purpose, which is common element of CGF (Computer Generated Forces). When basic agent acts as planned, the advanced intelligence agent can do more than this. It can follow predefined actions along appointed script to achieve purpose or lay another plans when it is difficult to achieve. In other words, it can amend plan again or make new plan in order to achieve goals. When plan fails, agent amends oneself, possibly decreases target level to achieve easily. In doing so, the agent calculates a quantitative value for changing plans in realtime, and choose appropriate alternative plans when the threshold value reaches an limit. In this paper, we propose an military system in which the planned action can be modified according to the level of achievement and alternative plans can be generated accordingly.

• Journal of the Korea Society of Computer and Information
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• v.7 no.2
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• pp.59-67
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• 2002

Major Characteristic of the 7th National Curriculum in science is to provide deep and supplementary learning, depending on the level of each learner. In the level-oriented curriculum, coursewares are used to present teaching materials to various levels. In most coursewares, however, they provide their contents at a uniform level and hence it is hard to expect level-oriented learning. This paper presents learner's modeling for developing student's level-oriented dynamic tutoring system for science class , Instructional module of this system made by component unit is able to be reconstructed dynamically. Learning module is constructed using a hybrid model mixed of Overlay and Bug model. Testing module interprets diagnostic errors to be established by given differentiated weight in accordance with item's difficulty and discrimination. Through ITS student modeling, this system presents various problem solving methods reconstructed by learner's level differentiated.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.384-396
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• 2017

The purpose of this study is to design career learning program content and to suggest a development plan in order to assist in freshmen's successful adaptation. To accomplish this goal, first, we reviewed the precedent studies on the situations and problems of freshmen and education programs for freshmen. H. university freshmen's needs for support programs were analyzed. Second, a career learning program conceptual model was developed based on the results of precedent studies and program needs analysis. Third, the program contents for enhancing career learning competency were designed, and we suggested a development plan focusing on customized content, emotional support, and on-off line convergence program. It developed career learning tracks, big data analysis, and action planning as main content. The results of this study are expected to be used as basic data for the development and implementation of competency-based customized career learning programs for freshmen, which will help improve the quality of career learning programs and freshmen's adaptability.

• The KIPS Transactions:PartA
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• v.11A no.5
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• pp.407-412
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• 2004

The e-learning system uses multimedia content for efficiency of a education and learner's convenience. With the web based e-learning, various multimedia services are difficult on account of physical factors such as network state and system performance. Also on the off line based e-learning, we have defects an insufficiency of interactions among learners and instructors, and an insufficiency of an adaptation about the latest information. In this study, we designed a multi-tier e-learning system using hybrid multimedia method, The proposed system can provide interaction and adaptability such as web based systems, and it can provide various multimedia content such as off line based systems. In experiments results, we know the proposed system improved users' convenience and an adaptability about the latest information, and interactions among learners and instructors when compare with existing e-learning system.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.233-241
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• 2004

본 논문에서는 분산된 관리대상의 시스템자원과 사용자정보, 사용패턴을 Context로 수집하여, 구성(Configuration)을 수행하는 적응형 자가관리시스템을 제안한다. 본 시스템은 기존에 수동으로 이루어지던 Configuration 작업들 (Install, Reconfiguration, Update)을 자율적으로 수행하여, 사용자의 시스템관리에 대한 부담을 줄여주게 되며, 많은 비용과 오류를 감소시켜준다. 본 시스템은 수집된 Context 정보를 기반으로 사용자의 환경에 맞는 구성요소를 선택하여 설치하게 되며, 사용자의 기존 애플리케이션의 환경설정과 사용패턴을 기반으로, 보다 개인화된 설정을 해준다. 설정 이후에는 사용자의 행동을 암시적 피드백으로 받아, 이를 학습하고 유사한 상황이 다시 발생할 경우, 이를 다음 행동에 반영한다. 그리고 기존에 중앙서버로부터 일률적으로 관련파일을 전송하고 관리하는 중앙집중배포방식의 여러 문제점에 대응하기 위해 Peer-to-Peer 방식으로 파일을 카피하고, 이를 통해 중앙서버의 과부하를 줄이는 동시에 빠른 파일의 배포가 가능하도록 하였다. 본 시스템의 평가를 위해 프로토타입을 구현하여, 기존 수동 Configuration작업, MS-IBM과 같은 관련시스템과의 비교를 수행하였으며, 기능적 측면과 작업에 소요되는 시간에 대한 비교결과를 통해 본 시스템의 유효성을 증명하였다.