• 정보교육학회논문지
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• 제9권3호
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• pp.367-376
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• 2005

지식정보사회에서 컴퓨터교육의 중요성은 날로 증가하고 있으며, 이제 컴퓨터는 하나의 필수도구처럼 인식되고 있으나 컴퓨터교육의 주요 매체인 컴퓨터 교과서에 대한 연구가 부족한 실정이다. 이에 본 연구는 충청북도 내 초등학생 4.5.6학년 학생들을 대상으로 컴퓨터 교과서에서 사용되는 주요 용어에 대한 이해 수준을 파악하고 개인 변인에 따른 이해 수준의 차이를 분석하였다. 연구 결과, 용어에 대한 학생들의 이해 수준은 전반적으로 낮은 것으로 밝혀졌으며, 개인 변인 중 지역, 학년, 컴퓨터 소유 여부, 과거 컴퓨터교육의 경험 유무, 컴퓨터 수업 진행 형태, 컴퓨터 수업의 호응도, 컴퓨터 수업의 참여도, 성적 수준 등에 따라서 용어의 이해 수준에 대해 유의미한 차이가 발견되었다.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 1998년도 Language, Information and Computation = Selected Papers from the 12th Pacific Asia Conference on Language, Information and Computation, Singapore
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• pp.271-282
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• 1998

• 한국컴퓨터산업학회논문지
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• 제5권4호
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• pp.435-442
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• 2004

가상대학에서는 언제 어디서나 마우스나 키보드를 몇 번 누름으로써 쉽게 강의를 듣고 공부 할 수 있다. 많은 사람들은 가상대학이 시간을 절약할 수 있으며, 학습을 향상시킬 수 있으리라고 믿고 있다. 가상대학 강좌를 선택한 학생이 얼마나 학습했는지를 점검하기 위해서 강사는 얼마나 많은 학생이 이해했으며 학생들의 어려운 문제점이 무엇인지 반드시 알아야 한다. 이러한 조건들이 점검되지 못한다면, 가상대학 강좌는 매우 어렵고 지루하게 느껴질 것이다. 본 논문에서는 이해한 학생과 이해하지 못한 학생을 가르치는 쌍방향 지능형 강의 시스템을 소개한다. 컴퓨터 모의 실험결과 쌍방향 가상 수업 시스템이 이해하지 못한 학생을 고려하지 않은 기존의 단방향 가상 수업시스템보다 훨씬 효과적인 것을 입증했다.

• 한국컴퓨터정보학회논문지
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• 제23권12호
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• pp.137-144
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• 2018

In this paper, we propose an well-organized lecture note for giving a better understanding on the Internet of Things (IoT) to people including non-computer majors without computing and communication knowledge. In recent years, the term 'IoT' has been popularized, and IoT will make a huge impact on our industries, societies, and environments. Although there are large amount of literature on presenting IoT from technological perspectives, few are published that are organized for teaching students having non-computer-related majors. Based on research and education experiences on IoT, we tried to make a lecture note focusing on the process of collecting data from everyday objects, transmitting and sharing data, and utilizing data to create new values for us. The proposed lecture note was employed in teaching a liberal arts class, and it was shown that students could have an understanding of what IoT really means and how IoT could change our world.

• ETRI Journal
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• 제29권2호
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• pp.179-188
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• 2007

We propose a multi-strategic concept-spotting approach for robust spoken language understanding of conversational Korean in a hostile recognition environment such as in-car navigation and telebanking services. Our concept-spotting method adopts a partial semantic understanding strategy within a given specific domain since the method tries to directly extract predefined meaning representation slot values from spoken language inputs. In spite of partial understanding, we can efficiently acquire the necessary information to compose interesting applications because the meaning representation slots are properly designed for specific domain-oriented understanding tasks. We also propose a multi-strategic method based on this concept-spotting approach such as a voting method. We present experiments conducted to verify the feasibility of these methods using a variety of spoken Korean data.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2004년도 가을 학술발표논문집 Vol.31 No.2 (2)
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• pp.694-696
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• 2004

With the more sophisticated abilities development of video, object motion analysis and interpretation has become the fundamental task for the computer vision understanding. For that understanding, firstly, we seek a sum of absolute difference algorithm to apply to the motion detection, which was based on the scene. Then we will focus on the moving objects representation in the scene using spatio-temporal relations. The video can be explained comprehensively from the both aspects : moving objects relations and video events intervals.

• International Journal of Computer Science & Network Security
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• 제21권5호
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• pp.199-210
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• 2021

Recently, research in blockchain technology has grown in popularity. Most of these researches have pointed out designing and improving conceptual structures to create digital systems that are more secure, accessible, and effective. Although blockchain offers a wide range of advantages, it also has some pitfalls. This research aims to present an understanding of the properties of blockchain, the advantages, pitfalls, and applications based on blockchain technology. To achieve the goal of understanding blockchain technology concepts, a systematic literature review approach was introduced. 93 papers were chosen and reviewed in total. Therefore, this research provides a summary of recent studies that have been published in the field of blockchain. Moreover, we have created concept maps and tables that aid in a deep understanding of blockchain technology concepts and exhibit some of the blockchain applications. In blockchain-based applications, we focused on two areas, namely the Internet of Things (IoT) and healthcare.

• International journal of advanced smart convergence
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• 제6권4호
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• pp.26-32
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• 2017

In this study, we showed understanding and production ability of the interface about internet, operating system, contents, and devices. This study aimed to make a list of 18 items in 4 areas for basic knowledge of UI/UX, establishment of design research, design concept, and design production for 22 sophomore, junior and senior students in IT departments, and the results of understanding were divided into three groups of excellent, normal, and insufficient, and evaluated. It was found that excellent was 18.39%, average was 38.52% and insufficient was 43.07%. Therefore, 18.39% of the students understood UI/UX, and 81.61% of students did not understand UI/UX well. In particular, in the comparison analysis of four areas, the design research area was 44 points, the design content area was 29 points, and the design production area was 11 points which was found to be the lowest. Next, the 10 evaluation items in the mobile UI/UX build guide evaluation were evaluated in the same way as the UI/UX understanding, and the excellent score was 3 points, the average score was 73.3 points, and the poor score was 155 points. The UI/UX build guides showed worse evaluation than UI/UX understanding. Therefore, to cultivate UI/UX understanding and content production ability, UI/UX experts should be fostered with professional course organization and systematic curriculum.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 2018년도 제30회 한글 및 한국어 정보처리 학술대회
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• pp.155-159
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• 2018

최근 화두가 되고있는 지능형 개인 비서 시스템에서 자연어 이해(NLU) 시스템은 중요한 구성요소이다. 자연어 이해 시스템은 사용자의 발화로부터 대화의 도메인(domain), 의도(intent), 의미적 슬롯(semantic slot)을 분류하는 역할을 한다. 하지만 자연어 이해 시스템을 학습하기 위해서는 많은 양의 라벨링 된 데이터를 필요로 하며 새로운 도메인으로 시스템을 확장할 때, 새롭게 데이터 라벨링을 진행해야 하는 한계점이 존재한다. 이를 해결하기 위해 본 연구는 적대 학습 방법을 이용하여 풍부한 양으로 구성된 기존(source) 도메인의 데이터부터 적은 양으로 라벨링 된 데이터로 구성된 대상(target) 도메인을 위한 슬롯 채우기(slot filling) 모델 학습 방법을 제안한다. 실험 결과 적대 학습을 적용할 경우, 적대 학습을 적용하지 않은 경우 보다 높은 f-1 score를 나타냄을 확인하였다.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 1997년도 International Conference MULTIMEDIA DATABASES on INTERNET
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• pp.24-48
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• 1997

. Supported byㆍDARPA′s image Understanding (IU) program under "Video Retrieval Based on Language and image Analysis" project.DARPA′s Computer Assisted Education and Training Initiative program (CAETI)ㆍObjective: Develop practical systems for automatic understanding and indexing of video sequences using both audio and video tracks(omitted)