• Annual Conference of KIPS
• /
• 2010.11a
• /
• pp.240-243
• /
• 2010

소프트웨어가 점점 복잡해지면서 신뢰할 수 있는 소프트웨어의 개발에 대한 필요성이 제기되고 있다. 이에 따라 소프트웨어 개발 업체는 소프트웨어 신뢰성 보장을 위한 많은 활동들을 수행하고 있다. 이 과정에서 소프트웨어 신뢰성 평가는 핵심이 되는 작업 중 하나이며, 다양한 소프트웨어 신뢰성 평가 도구가 개발되어 정확하고 효율적인 신뢰성 평가를 돕고 있다. 소프트웨어 신뢰성 평가 도구는 적용할 수 있는 소프트웨어 개발 단계와 적용 방법에 차이가 있기 때문에 도구들은 적시적소에 적용되어야 한다. 본 논문에서는 CASRE, SMERFS, SREPT, GERT, SRTPRO 와 같은 소프트웨어 신뢰성 평가 도구의 분석을 통해 각 도구들의 특징, 목적, 적용단계 등을 고려하여 사용자가 다양한 도구 중 어떤 도구를 선택해야 하는지 판단하는데 도움을 주고자 한다.

• Prospectives of Industrial Chemistry
• /
• v.22 no.6
• /
• pp.41-58
• /
• 2019

다공성 실리콘 나노 입자는 약물 전달과 바이오이미징 등 의생명공학 분야에 다양하게 활용할 수 있는 가능성을 지닌 소재이다. 실리콘 원소 특유의 생분해성, 발광 효과, 다공성 구조 형성을 통한 약물 전달 기능에 이르는 다양한 특성으로 인해 미래 중개의학 플랫폼으로 각광 받고 있으며, 특히 바이오이미징 분야에서의 활용성이 매우 주목 받고 있다. 이에 대한 최신 연구 동향을 보고하고자, 다공성 실리콘 나노 입자의 제작 및 바이오이미징 응용 연구에 대한 성과를 소개한다. 바이오이미징을 위한 핵심 요소인 발광 특성(근적외선 방출, 마이크로 초 단위의 감쇄 시간 등)에 대한 논의를 바탕으로 최근 연구 성과 및 약물 전달 과정 모니터링 기능 등 다방면의 응용 가능성에 대한 방향을 소개한다. 실리콘 나노 입자의 제작 및 표면 화학 반응을 통한 기능성 제어, 이를 활용한 바이오이미징 연구 동향에 대한 전략도 광범위하게 제시하고자 한다.

• Journal of The Korean Association For Science Education
• /
• v.31 no.5
• /
• pp.788-800
• /
• 2011

The purpose of this study was to investigate the elementary school teachers' perception of science writing. In this study, 10 elementary school teachers who have taught in the 3rd or 4th grade science lesson in 2010 were selected. Researchers constructed interview guide in three parts including the teachers' understanding of science writing, the status of science writing teaching and the difficulties of science writing in their classes. For the investigation, semi-structured in-depth interviews with 10 elementary school teachers were conducted individually. The results showed that the elementary school teachers were unfamiliar with the word ‘science writing’ and considered science writing as a writing using science learning contents. Also, they think that teaching science writing in their science lessons was not needed and didn't assess and provide detailed feedback with the students' written works. Most teachers needed teaching materials and assessment tools for science writing. To develop elementary teachers' understanding of the value and use of writing for learning in science, they will need to participate in science writing programs for in-service teachers and various teaching materials and assessment tools should also be developed.

• Journal of Korean Elementary Science Education
• /
• v.43 no.4
• /
• pp.544-553
• /
• 2024

The purpose of this study was to analyze the trends of research focusing on artificial intelligence and the science education and derive important problems, topics, and research trends,. The analysis of the AI convergence science education research trends targeted 83 articles on the awareness of artificial intelligence, research trends, design, development, and application of the education programs related to artificial intelligence. The analysis data was collected through the RISS. The collected data was refined using Excel and Textom, and the main keywords were identified and analyzed through the frequency analysis and keyword network analysis. The connection centrality of the keywords was confirmed using the CONCOR analysis. The research results showed that the AI convergence science education research was expanding in both quantitative and qualitative aspects, and that the main keywords were identified as 'AI,' 'AI convergence education,' 'AI convergence science education,' 'AI education,' 'science education,' 'science,' 'machine learning,' 'elementary school,' 'generative AI,' and 'educational program.' Through the connection centrality analysis and CONCOR analysis, it was confirmed that the clusters were formed around the 'naming,' 'content and method,' 'elementary,' and 'data' in the AI integrated science education. Based on the results, the main topics and trends of the research integrating artificial intelligence into the science subjects were derived and the implications and directions for follow-up research were set forth.

• Korean Journal of Cognitive Science
• /
• v.13 no.2
• /
• pp.1-13
• /
• 2002

This Paper is concerned with the impact of linguistic markers of coherence, such as causal connectives. repetitions. and anchoring devices. on the comprehension of a scientific text in Korean. A scientific text on the process of lightning formation was selected. and two versions of the text were constructed by varying the strength of coherence. Eighty-two undergraduate students took Part in the experiment in which they were instructed to fill in the blanks in each text in a recall and a recognition task and to respond to a set of question in a comprehension test. The results of this experiment revealed a selective effect of the cohesive markers. It was found that the different linguistic signals seem to Play a facilitating role in varying degrees in accordance with the type of tasks involved Moreover an analysis of topic continuity from the beginning paragraphs through the last revealed that the text was better understood in the paragraphs containing the main topic better than those without it. This finding seems to indicate that the off-line processing of scientific text is not influenced solely by the local bottom-up processing alone The effect of topic continuity seems to suggest that a global. top-down processing effect has an important role to play. overriding the impact of cohesive devices.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.448-448
• /
• 2021

최근 급격한 기후변화와 도시화 및 산업화로 인한 지류하천에서의 수량과 수질의 변동은 생물 다양성 감소와 수생태계 건강성 저하에 큰 영향을 미치고 있다. 효율적인 수생태 관리를 위해서는 지속적인 유량, 수질, 그리고 수생태 모니터링을 통한 데이터 축적과 더불어 면밀한 상관 분석을 통해 수생태계 건강성의 악화 원인을 규명해야 할 필요가 있다. 그러나 수많은 지류하천을 대상으로 한 지속적인 모니터링은 현실적으로 어려움이 있으며, 수생태계의 특성 상 단일 영향 인자만으로 수생태계의 건강성 변화와의 관계를 정확히 파악하는데 한계가 있다. 따라서 지류하천에서의 유량 및 수질의 시공간적인 변동성과 다양한 영향 인자를 고려하여 수생태계의 건강성을 효율적으로 예측할 수 있는 기술이 필요하다. 이에 본 연구에서는 경험적 데이터 기반의 머신러닝 모델 구축을 통해 미계측 하천에서의 수생태계 건강성 지수(BMI, TDI, FAI)의 등급(A to E)을 예측하고자 하였다. 머신러닝 모델은 학습 데이터셋의 양과 질에 따라 성능이 크게 달라질 수 있으며, 학습 데이터셋의 분포가 불균형적일 경우 과적합 또는 과소적합 문제가 발생할 수 있다. 이를 보완하고자 본 연구에서는 실제 측정망 데이터셋을 바탕으로 생성적 적대 신경망 GAN(Generative Adversarial Network) 알고리즘을 통해 머신러닝 모델 학습에 필요한 추가 데이터셋(유량, 수질, 기상, 수생태 등급)을 확보하였다. 머신러닝 모델의 성능은 5차 교차검증 과정을 통해 평가하였으며, GAN 데이터셋의 정확도는 실제 측정망 데이터셋의 정규분포와의 비교 분석을 통해 평가하였다. 최종적으로 SWAT(Soil and Water Assessment Tool) 모형을 통해 예측 된 미계측 하천에서의 데이터셋을 머신러닝 모델의 검증 자료로 사용하여 수생태계 건강성 등급 예측 정확도를 평가하였다. 본 연구에서의 GAN에 의해 강화된 머신러닝 모델은 수질 및 수생태 관리가 필요한 우심 지류하천 선정과 구조적/비구조적 최적관리기법에 따른 수생태계 건강성 개선 효과를 평가하는데 활용될 수 있을 것이다. 또한 이를 통해 예측된 미계측 하천에서의 수생태계 건강성 등급 자료는 수량-수질-수생태를 유기적으로 연계한 통합 물관리 정책을 수립하는데 기초자료로 활용될 수 있을 것이라 사료된다.

• Journal of The Korean Association For Science Education
• /
• v.36 no.6
• /
• pp.935-946
• /
• 2016

This study aims to explore cognitive biases relating the core competences of science and instructional strategy in reducing the level of cognitive biases. The literature review method was used to explore cognitive biases and science education experts discussed the relevance of cognitive biases to science education. Twenty nine cognitive biases were categorized into five groups (limiting rational causal inference, limiting diverse information search, limiting self-regulated learning, limiting self-directed decision making, and category-limited thinking). The cognitive biases in limiting rational causal inference group are teleological thinking, availability heuristic, illusory correlation, and clustering illusion. The cognitive biases in limiting diverse information search group are selective perception, experimenter bias, confirmation bias, mere thought effect, attentional bias, belief bias, pragmatic fallacy, functional fixedness, and framing effect. The cognitive biases in limiting self-regulated learning group are overconfidence bias, better-than-average bias, planning fallacy, fundamental attribution error, Dunning-Kruger effect, hindsight bias, and blind-spot bias. The cognitive biases in limiting self-directed decision-making group are acquiescence effect, bandwagon effect, group-think, appeal to authority bias, and information bias. Lastly, the cognitive biases in category-limited thinking group are psychological essentialism, stereotyping, anthropomorphism, and outgroup homogeneity bias. The instructional strategy to reduce the level of cognitive biases is disused based on the psychological characters of cognitive biases reviewed in this study and related science education methods.

• Journal of The Korean Association For Science Education
• /
• v.35 no.4
• /
• pp.565-572
• /
• 2015

The purpose of this paper is to offer an analysis on the research trends of web-based inquiry learning effectiveness in science education, and to present suggestions for future studies. This study compiled data on 43 articles in Korea and international journals. The content analysis of articles published were from academic journals related to science education and educational technology from 2000 to 2014. The results are as follows: Among domestic articles, the participants ranged from school children to high school students. On the contrary, among foreign articles, the participants are centralized on secondary school students; most used experimental studies; most of the studies resulted with web-based inquiry learning in science education showing effectiveness on science learning performance or science inquiry ability; all web-based inquiry learning were designed using different models of teaching and learning, with the result in the case of domestic research, the utilized models refer to the STS learning model, Internet utilization problem-center inquiry learning model, Procedural model, while in the case of overseas research, the utilized models are SCY, IBLE, and TESI model. Implications of the findings are then discussed, which implies considerations for further research related to web-based inquiry learning.

• Journal of Korea Technology Innovation Society
• /
• v.15 no.4
• /
• pp.766-782
• /
• 2012

Science and technology(S&T) are not only advancing, but also the number of stakeholders in those fields are increasing, and so the demands of S&T strategy for a particular field are increasing. In Korea, especially, this tendency is remarkable, and is evidenced by the fact that more than one hundred of S&T strategies have been established and implemented. However, academic attempts to clarify scientific methodologies for establishing S&T strategy have so far been rare. In this paper, a methodology to establish S&T strategies in a particular field is proposed and examined through a case study to determine its usefulness. First, through an analysis of the literature, previous studies on the establishment of a national S&T strategy and its related concepts are reviewed. Also, a representative framework plans, in accordance with relevant legislation and regulations, are reviewed. Meanwhile, the methodology, PEST-SWOT-AHP, is proposed and the features and applications are identified. For the case study, the strategy establishment of a fusion research and development program is performed. In order to apply the PEST-SWOT-AHP tool, an environmental analysis based on the fusion R&D roadmap is conducted. To examine the usefulness of the proposed framework, a national fusion R&D strategy applying PEST-SWOT-AHP is derived. As a result of the case study, four strategies were derived. Those are be the first mover, promotion of basic research and cultivation of manpower, boost commercialization and public acceptance and reinforcing international cooperation.

• Korean journal of applied entomology
• /
• v.58 no.1
• /
• pp.9-13
• /
• 2019

Nematode-trapping fungi use various specialized traps to capture nematodes. A fungus that can capture nematodes in three dimensional adhesive networks was isolated from the soil around the root of Cucumis melo L. (Oriental melon) in Seongju, Korea. The conidiophores were found to be septate, hyaline, erect and $290-528(342.8){\mu}m$ high. It produces obovoid shape and 1-3 septate (commonly 2-septate) conidia with a size of $30.5{\times}20.3{\mu}m$. Molecular analysis of 5.8 S rDNA displayed 99% similarity to Arthrobotrys sinensis. On the basis of morphological, morphometric and molecular studies, the fungus was identified as A. sinensis. It is the first report in Korea which can be one of biological control resource of plant-parasitic nematode.