• Journal of the Korean Chemical Society
• /
• v.43 no.2
• /
• pp.213-224
• /
• 1999

Preconceptions of middle school students related to chemical change the students are surveyed. The students are divided into experimental group that are learned by concept change theory teaching model, and control group that are learned by traditional teaching method based on science textbooks. After the planned classes, the tendencies of concept change of the two groups according to students learning motivations are analyzed. New teaching methods, which based on concept change learning model and students learning motivations, developed by this research. And the effects of the new teaching method are testified. As a result, it is proved that most of the students have a lot of preconceptions, and persist the wrong conceptions after the classes. This tendency is same in the control group and in the experimental group.

• The Korean Journal of Applied Statistics
• /
• v.27 no.5
• /
• pp.693-703
• /
• 2014

When setting up an experiment for extrapolation at multiple points outside the design space, we often face a difficulty in which point we should emphasize even if the polynomial model under consideration is given. In this paper we propose various methods under two possible scenarios that deal with extrapolations. One considered in this paper is the situation when the model assumed can be extended beyond the design space. In this setting, the many classical methods(including various approaches the authors proposed before) were revisited in the context of extrapolation. But the real problem arises when there is an uncertainty concerning the validity of the assumed model. Therefore, the second scenario is to develop an appropriate procedure when we have limited information about model. Consequently, a hybrid approach is suggested to deal with this issue of how to handle the multiple extrapolating under model uncertainty. A search algorithm was implemented because the classical exchange algorithm was found difficult to handle the complexity of the problem.

• Journal of the Korean Geotechnical Society
• /
• v.40 no.2
• /
• pp.65-79
• /
• 2024

This study employs traditional statistical auto-regressive integrated moving average (ARIMA) and deep learning-based long short-term memory (LSTM) models to predict the deformation of earth retaining walls using inclinometer data from excavation sites. It compares the predictive capabilities of both models. The ARIMA model excels in analyzing linear patterns as time progresses, while the LSTM model is adept at handling complex nonlinear patterns and long-term dependencies in the data. This research includes preprocessing of inclinometer measurement data, performance evaluation across various data lengths and input conditions, and demonstrates that the LSTM model provides statistically significant improvements in prediction accuracy over the ARIMA model. The findings suggest that LSTM models can effectively assess the stability of retaining walls at excavation sites. Additionally, this study is expected to contribute to the development of safety monitoring systems at excavation sites and the advancement of time series prediction models.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.4
• /
• pp.317-328
• /
• 2018

The purpose of this study is to examine the effect of the quality of performance on audience satisfaction, and to verify the mediating effect of service value and traditional image in this process. The subjects of this study included 211 male and female adults who experienced the Korean opera performance in Seoul, Korea in October. Collected data was used as a model of path coefficients obtained through analysis of covariance structure and hypothesis test. As a result of verification, program quality, physical environment quality, and quality of the stage performance perceived by the audience showed a statistically significant positive correlation with performance experience attributes. The path coefficient between performance attribute and service value, performance experience attribute and traditional image were also positively and statistically significant. Further, the path coefficient between performance experience and audience satisfaction showed a positive relationship. The service value and traditional image, service value and audience satisfaction, and the path coefficient between traditional image and audience satisfaction were statistically and positively significant. Finally, all hypotheses were adopted and study results confirmed the effect of service quality and experience attributes on audience satisfaction for the popularization, modernization and marketing strategy of the Korean opera. In this process, it is meaningful to verify the role and function of service value and traditional image.

• Cartoon and Animation Studies
• /
• s.38
• /
• pp.177-194
• /
• 2015

This study that had been conducted two months by a research team of Pusan National University at the request of Korea Manwha Contents Agency in Dec. 2013 is about the statistical analysis on 'Korean Webtoon DB and its Flow Report' which resulted from the complete survey of Korean webtoons which had been published with payment in official media from early 2000 to 2013. Webtoon which means the cartoons published on web has become a typical type of Korean cartoons and has developed into a main industry since 2000s when traditional published cartoons had declined and social environments had changed. Today, it represents cultural contents in Korea. This study collected the webtoons officially published in media with payment, among Korean webtoons having been published from the early 2000s to Jan. Based on the collected data, it analyzed the general characteristics of webtoons, including cartoonists, the number of cartoons, distribution chart of each media, genre, and publication cycle. According to the data analysis and statistics, a great deal of Korean webtoons are still published in main portal websites, but their platform is being diversified and a webtoon's publication cycle tends to be shortened. In terms of genre, traditional popular genres, such as drama, comic, fantasy, and action, are still popular, and the genres of history, sports, and food are on the rise along with a social trend. Regarding webtoon application, such events as relay webtoon and brand webtoon, and a new type of webtoon featuring PPL commercialism appear. Such phenomena can realize the common profits of cartoonists, media, and ordering bodies, and are various trials to test the possibility of webtoons. In addition, what needs to pay attention on in the expansion of webtoons is increasing webtoons for adults. The study subjects are the webtoons published with payment, excluding free webtoons. However, this study failed to collect the webtoons published on the online websites already closed, and the lost information on cartoonists and their lost webtoons, and it is necessary to conduct a complete survey on all webtoons including free ones. Despite the limitations, this study is meaningful in the points that it categorized and analyzed Korean webtoons accoridng to official media, webtoons, cartoonists, and genres and that it provided a fundamental material to understand the current conditions of webtoons. It is expected that this study will be able to contribute to activating more research on webtoons and producing more supplementary data which will be used for the Korean cartoon industry and academia.

• Journal of The Korean Association For Science Education
• /
• v.24 no.6
• /
• pp.1094-1105
• /
• 2004

The effects of learning using Information Communication Technology(ICT) on the students' scientific inquiry ability and science-related affective characteristics were analyzed in Earth History and Crust Movement units of science textbook for eighth graders. For this study, two classes of middle school second students in Chung-nam were selected and taught for six week under different teaching methods. One class is the test class taught with ICT applied teaching materials and the other class is the control class instructed by a conventional method. One week before the experiment, both classes were given tests on scientific inquiry ability and science-related affective characteristics, and they were tested again after the experiment. The results of scientific inquiry test showed statistically meaningful differences in the experimental class and the control class. The experimental class showed statistically meaningful difference in scientific inquiry test. Science-related affective characteristics test showed no statistically meaningful difference in the experimental class. Among three scientific science-related affective characteristics, especially the one fields of interests showed statistically meaningful differences which suggest that learning using ICT has a positive effect on the expanding of students' science-related affective characteristics.

• 한국경영정보학회:학술대회논문집
• /
• 2007.11a
• /
• pp.611-616
• /
• 2007

반도체 패키징 공장에서 싸이클타임(Cycle-time)을 정확히 예측하는 것은 납기일 준수를 통해 고객만족도를 향상시킬 수 있고, 보다 효율적인 스케쥴링을 가능하게 하여 공장 가동률을 높일 수 있게 한다. 그러나 반도체 패키징은 제품 종류가 다양하고 제품마다 특화된 기술을 사용할 뿐만 아니라 공정 순서나, WIP에 따라 싸이클타임이 크게 영향을 받아 그 정확한 예측이 매우 어렵기 때문에 현장 전문가의 판단에 의존하는 경우가 많았다. Fab공정의 경우 전문가를 도와 좀 더 정확한 예측에 도움을 주기 위해 그 동안 전통적 통계 기법 및 시뮬레이션에 기반한 의사결정 모형이 많이 연구되었는데, 최근에는 기계학습 및 인공지능 기법을 사용한 연구가 눈에 띄고 있으며 기존의 방법보다 우수한 성능을 보여 주는 것으로 나타났다. 하지만 아직 기계학습 및 인공지능을 이용한 충분한 연구가 진행되지 못하고 있는 실정이다. 따라서 본 연구에서는 사례기반 추론을 사용하여 패키징 공정의 싸이클타임을 예측하고자 하였으며 그 성능을 인공신경망 모형, 의사결정나무 모형, 그리고 해당 분야 전문가의 예측치와 비교하였다. 실험결과에 따르면 사례기반추론 모형이 가장 뛰어난 성능을 보이는 것으로 나타났다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2000.10a
• /
• pp.585-589
• /
• 2000

In this paper, we present a standard S/W solution for nursery administration. This S/W would substitute for classical nonscientific nursery management that has depended on personal experience and intuition. Especially, the suggest S/W design concepts are based on a diary writing on a computer. It means every statistical data and information for a sales forecast analyzed on the program just by keeping a din. Also it has two operation mode of easy menu and advanced menu for a different level of user.

• Proceeding of Spring/Autumn Annual Conference of KHA
• /
• 1992.11a
• /
• pp.103-113
• /
• 1992

본 연구의 목적은 비전통적인 주택형태들의 수락도에 영향을 미치는 시골지역 노인들의 인구학적 특성들과 주거특성들을 규명하는데 있다. 본 연구에서는 미국의 남부 7개주를 대상으로 한 Southern Reginal Research Project, S-194, "Barricrs and Incentives to Attordable Housing"에서 수집된 자료의 일부를 분석하였다. 본 연구대상자는 미국 남부 7개주의 시골지역에 거주하는 나이 55세 이상의 1878명이었다. Analysis of variance의 통계분석방법을 통해 나타난 몇가지 중요한 결과가 본문에서 논의되어졌으며, 또한 조사대상자의 인구학적 특성과 주거특성도 요약되어 졌다. 마지막으로는 본 연구 결과를 바탕으로 소비자교육, 앞으로의 연구 방향 산업체를 위한 제언들이 제시되고 있다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.1204-1205
• /
• 2023

본 논문은 소비자의 리뷰 데이터를 기반으로 한 새로운 감성 분석 방법을 제안한다. 긍정, 부정, 중립으로 분류하는 전통적 감성 분석방법은 텍스트에 나타난 감정의 섬세한 차이를 파악하기 어렵다. 이에 본 연구에서는 GPT 모델을 사용하여 텍스트에서 사용자의 감정을 8 가지의 카테고리로 세분화한다. 부정적 정서를 가진 리뷰에서 분노, 혐오, 실망과 같은 구체적인 감정들을 직관적으로 파악할 수 있었고, 감정의 강도까지 파악할 수 있었다. 제안된 방법을 통해 기업은 고객의 요구 사항을 정확하게 인지할 수 있으며, 고객 맞춤형 서비스 개선에 기여할 수 있다는 점이 기대된다.