• Proceedings of the Korean Society for the Gifted Conference
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• 2003.11a
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• pp.185-186
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• 2003

영재교육 프로그램 개발의 핵심적인 부분은 영재들에게 적절한 교육과정이며, 대표적인 영재교육과정모형으로 삼부심화학습모형(Enrichment Triad Model: ETM), 학교단위 심화학습모형(Schoolwide Enrichment Model： SEM), 자기주도적 학습모형 (Self-Directed Learning Model), 퍼듀 3단계 심화학습 모형(Purdue Three-Stage Enrichment Model) 등이 있다. 이들 모형에 대한 적용 연구가 일부 초등학교냐 중학교의 시범적인 속진 및 심화 프로그램 실시로 적용된 바는 있으나 정규 교육과정에서는 실시될 기회가 없었다. 국내에서도 2002년 영재교육법 시행령 적용 이후 과학영재학교가 지정되어 운영되고 있기에, 영재교육을 위한 모형을 정규 교육과정 및 교수-학습 과정에 적용하고 그 효과를 밝히는 연구가 필요하다. 이에 본 연구에서는 삼부심화학습모형을 적용하기 위한 구체적인 교수·학습 과정안을 개발하고, 이를 과학영재학교 물리수업에 적용하여 그 과정과 학생들의 인식을 분석하고자 한다. 본 연구의 대상은 과학영재고등학교 1학년 72명이며 검사결과 지능지수, 추리력, 수리력, 지각력 면에서 매우 우수한 집단으로 나타났다. 삼부심화학습모형을 실시한 기간은, 1단계 활동을 2주간 실시하였고, 2단계 활동은 4개월간 진행하고 있으며, 3단계 활동은 겨울방학을 이용하여 실시할 계획이다. 삼부심화학습모형에 의하면 1단계는‘일반 탐색 활동을 통한 심화 학습’단계로 정규 교육과정 속에 포함되어 있지 않은 새롭고, 흥미로운 주제나 지식 영역들에 학생들이 접할 수 있도록 설계된 일반적 탐구 혹은 탐색 경험들을 제공하는 것으로 구성된다. 점수를 종속변인으로 하여 회귀분석을 한 결과 TTCT 도형과 언어 검사 모두 WAIS 소검사중의 기본지식문제가 TTCT 전체점수에 가장 높은 영향력을 미쳤다. 지능이 높은 그룹과 낮은 그룹에 대해 WAIS 11개 소검사와 TTCT 전체점수와의 상관을 구한 결과, 지능이 높은 그룹에서는 유의미한 상관을 의미는 소검사가 거의 없었던 것과는 달리, 지능이 낮은 그룹에서는 결정성지능을 대표하는 소 검사와 TTCT 도형검사 점수간의 상관이 유의미하게 나타났다. 이상의 결과를 통해 TTCT는 도형과 언어 검사 모두 유동성지능 보다는 결정성지능과 상관이 있음을 알 수 있는데, 이는 창의력 검사가 문제 해결 상황에 기존의 지식을 이용하는 능력을 측정하고 있기 때문으로 추정된다. 또한 지능이 낮은 그룹에서 높은 그룹에 비해 창의력 검사와 지능 검사 사이의 상관의 정도가 높았는데, 이는 일정 수준까지는 창의적 능력이 결정성 지능에 의해 제한을 받으나 일정 수준 이상의 결정성 지능을 갖게 되면 더 이상 결정성 지능이 창의적 능력을 제한하지 않기 때문인 것으로 해석된다.circ}C$에서 2.5~8.2mg$CO_2$/kg.hr로 일반적으로 보고되고 있는 토마토 호흡속도와 일치하는 결과를 나타내었다.다.환원당인 sucrose 함량은 계속 증가하였고 fructose, glucose, sorbitol의 함량(추황의 sorbitol을 제외)은 생장이 촉진됨에 따라 증가하다가 다시 점차적으로 감소하였다. 이러한 결과는 총당과 환원당의 측정결과와 일치한 것으로 나타났다. 결론적으로 배의 성장에 따라 산 함량은 감소하였고 당 함량은 증가하였다.luco-pyranoside, quercetin 7-O

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.135-143
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• 2019

Purpose of this study is enhancing usability of online video platform by analyze link-depth and advertisement frequency. In this study, researcher checked market share of video platform which publishing web-drama, and compare their link-depth and advertisement frequency. As a result, access to the latest content has two to three link-depth. So it does not worsen usability. but, if contents doesn't show on main page or search result, it requires more than five to six steps. Image advertisement show up more than twice on every platform. 'Youtube' and 'Naver TV' show up pre-roll video advertisement in video player before offering contents. In this video platform information structure, directory searching needs high link-depth level and advertisement frequency. It will increase user's bounce rate and decrease return visit rate. So researcher suggests prototype using drop-down menu to reduce link-depth and enhance information structure.

• Korean Journal of Remote Sensing
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• v.39 no.2
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• pp.143-156
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• 2023

To precisely and reliably analyze the contents of the satellite imagery, recognizing the clouds which are the obstacle to gathering the useful information is essential. In recent times, deep learning yielded satisfactory results in various tasks, so many studies using deep neural networks have been conducted to improve the performance of cloud detection. However, existing methods for cloud detection have the limitation on increasing the performance due to the adopting the network models for semantic image segmentation without modification. To tackle this problem, we introduced the multi-branch neural architecture search to find optimal network structure for cloud detection. Additionally, the proposed method adopts the soft intersection over union (IoU) as loss function to mitigate the disagreement between the loss function and the evaluation metric and uses the various data augmentation methods. The experiments are conducted using the cloud detection dataset acquired by Arirang-3/3A satellite imagery. The experimental results showed that the proposed network which are searched network architecture using cloud dataset is 4% higher than the existing network model which are searched network structure using urban street scenes with regard to the IoU. Also, the experimental results showed that the soft IoU exhibits the best performance on cloud detection among the various loss functions. When comparing the proposed method with the state-of-the-art (SOTA) models in the field of semantic segmentation, the proposed method showed better performance than the SOTA models with regard to the mean IoU and overall accuracy.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.339-349
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• 2017

The purpose of this study was to identify the effect of Career Education Program(CEP) on freshmen of nursing department. A non-equivalent pre-post test of quasi-experimental design was used. 44 freshmen were assigned to an intervention group and 36 freshmen to a control group. The intervention program was composed of introduction, self-navigation, explore the world of work, career design and termination during 12 weeks from March to June, 2014. Data were collected before-and after program, and analyzed using the SPSS 22.0 program. There were significant increases in learning motivation (t=8.92, p<.001) and college life adaptation (t=3.51, p<.001) in the experimental group compared to the control group. This study suggests that CEP would be an efficient way to adapt to school and take learning motivation for nursing students. It is necessary to develop a systematic and tailored career education program for nursing students from a freshmen to a senior.

• Management & Information Systems Review
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• v.34 no.3
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• pp.79-100
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• 2015

This study is to examine the factors that influence purchasing behavior and decision-making when consumers buy goods through mobile shopping, define purchasing decision-making with the steps of problem recognition, information search, alternative assessment, and purchasing behavior to understand mobile consumer behavior, and investigate how the factors of each step play roles and influence consumers' purchasing decision-making through positive analysis to figure out consumer purchasing behavior in mobile shopping. The study results, First, the user characteristics of information search influence flow. Second, in the relations between the user characteristics in the step of information search and perceived risk in alternative assessment, if recognition on gains is higher, perceived risk for time loss gets lower, and when the level of skills is higher, perceived risk gets higher, and it has been partly adopted that innovativeness does not influence risk perception. Third, in the relations between flow experience and purchasing intention, it has been found to be partially significant that remote presence and challenge do not influence purchasing intention but do influence excitement, attention concentration, and control and also do influence perceived risk and purchasing intention. Fourth, according to the results of analyzing the difference of consumer purchasing behavior by the types of involvement, practical involvement and sensual involvement, user characteristics and flow, and perceived risk differ by the types of products in terms of the search process, thereby changing purchasing intention. Lastly, the significance and limitations of this study was discussed.

• The KIPS Transactions:PartB
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• v.11B no.6
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• pp.633-644
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• 2004

In this paper, we notice that the original NTSS algorithm can be proposed as the NTSS-3 Level algorithm by the multi-resolution technique. The fast block matching algorithm affects the speed by the patten combination and this paper proposes the block matching algorithm in different levels by multi-resolution technique, quite different from the original NTSS Patten. The block matching algorithm requires the multi-candidate to reduce the occurrence of low-image quality by the local minima problem. The simulation result compared to FS shows search speed 16 times quicker, and the PSNR 0.11-0.12［dB］ gets improved Image quality compared to the original fast block matching algorithm NTSS, and the speed is improved up to 0.1 times for improved image by the search point portion.

• Journal of The Korean Association of Information Education
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• v.17 no.4
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• pp.467-474
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• 2013

This paper examined various study case about cyber network and STEAM education. We develop this STEAM career education of Cyber Network subject for 3rd and 4th graders in elementary school. We make this program by considering about student's intellectual level and interests. We offered this program to elementary 3rd and 4th graders in Jeju island step by step to evaluate the effectiveness of the developed program and teaching materials. Future work will include the follow-up and extended study. It will be expected that students will be able to develop their abilities of career exploration.

• Journal of the Korean Chemical Society
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• v.58 no.6
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• pp.649-657
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• 2014

The purpose of this study was to develop a teaching strategy focused on science writing and to investigate its effects on enhancing students' problem solving ability. A teaching strategy using science writing enhancing problem solving ability (REWS model) was designed. The REWE model consisted of four stages: 1) Sensing and Stating of Scientific Problem by Reading (R stage), 2) Exploring Problem (E stage) 3) Explaining by Writing (W stage), 4) Integrated problem-solving (S stage). 135 10th grade of students were assigned to one experimental group and one control group. Students in the experiment group were taught by REWE model. Students in control group were taught by traditional lecture-based instructions. The program was implemented over a semester. The results indicated that the experimental group presented statistically meaningful improvement in critical thinking necessary to solve problems (p<.05). This study suggests that science writing can be effective for improvement of problem solving ability.

• The KIPS Transactions:PartB
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• v.8B no.1
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• pp.98-104
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• 2001

본 논문에서는 어절 생성 사전을 이용한 한국어 철자 교정을 제안한다. 어절 생성 사전은 두 문자열 간 음절 특성이 고려된 편집 거리 계산을 기반으로 탐색되어 언어와 오류 유형에 의존적인 정보를 이용하지 않고 오류 어절에 대한 후보 어절을 생성한다. 또한 교정된 어절들의 가능한 형태소 분석들을 산출하여 후보들 간의 순위 계산 시에 재차 형태소 분석을 수행하지 않고 언어 정보를 적용할 수 있다. 본 논문에서 제안하는 철자 교정은 두 단계로 구성된다. 첫째, 오류 어절로부터 가능한 오류 정정 어간들을 계산한다. 둘째, 계산된 어간들로부터 어절 생성 사전을 탐색하여 원형 후보 어절들을 생성한다. 또한 품사 태깅과 공기 정보를 사용하여 오류 수정된 결과의 순위를 매긴다. 본 시스템의 자동 철자 교정 성능을 평가한 결과 3,000개의 어절에서 시험한 결과 단어 수준으로 93%가 옳게 교정되었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.57-59
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• 2018

무선 네트워크에서 토폴로지의 빈번한 변화로 노드 간 링크 단절과 경로재설정이 발생하여 네트워크 내에 제어메시지 과부하와 같은 문제점들이 발생한다. 본 연구에서는 링크 단절과 제어 메시지 과부하와 같은 문제점을 해결하기 위하여 무선 네트워크 환경에서 주변 노드 탐색과정, 경로 탐색과정, 경로관리과정의 3단계를 수행할 때 안정적인 전력, 높은 컴퓨팅 능력과 무선 신호 조절 능력이 있는 존 마스터(Zone Master)를 기반으로 하는 링크안정성 기법을 제안하였다. 제안한 기법은 다양한 무선 환경에서 기존의 OLSR라우팅 프로토콜보다 우수한 성능을 보임을 확인하였다.