• 한국생활과학회지
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• 제16권4호
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• pp.855-875
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• 2007

The purpose of this study is to suggest a guideline for outdoor play settings in child care centers. From March to July, 2005, data were collected from 223 directors at child care centers through a structured questionnaire, field measurement survey and non-participatory observation in seventeen child care centers in Seoul and Daejeon. The statistical methods for analysing data were frequency, percentage, mean, $X^2$ and F-test. The results showed as follows: 1)the existing outdoor playground area in child care centers should be expanded more than $4\;m^2$ per child. 2) Outdoor play facilities should be equipped with two structured play sets, a play facility for unstructured play and an adventure facility to make child's various activities possible and to promote child development. 3)flooring materials for outdoor playground should be required to use more than three kinds such as solid coverings (cf. asphalt, standard concrete), wood, lawn, soil or sands. 4)to let children enjoy various activities, outdoor playground area should be composed of various play facilities like indoor play gyms and should be independent but have good connections between play facilities depending on characteristics of play activities. 5)Play spaces of outdoor playground should be composed of physical play space, unstructured and dramatized play space, rest space, space for nature and adventure space. In addition, appropriate play equipments should be provided in respective play space.

• 아동학회지
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• 제21권4호
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• pp.197-210
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• 2000

This integrative review of research on the role of toys in the pretend play of young children investigated claims about the relative effects of abstract or unrealistic compared with concrete or realistic toys. Researchers and educators acknowledge the benefits of pretend play as an expression of the child's capacity of symbolic functioning and they attend to strategies for promoting pretend play at each stage of its development, including the selection and presentation of playthings. Highly structured or realistic toys were once thought to impede pretend play because they can only be used for a single intended purpose whereas less structured toys are pliant and hold the child's interest over longer periods of time as new ideas are tried out. However, the present review suggests that realistic toys are effective for very young children who still have limited representational capacity, and that realistic toys continue to give impetus to make-believe even for kindergarten children.

• Architectural research
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• 제12권2호
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• pp.31-40
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• 2010

The main objective of this study is to investigate the perception, recognition and response of innovative/ self-initiated play and its correlation to play space and play environment understood by children in their middle childhood years. Play, play theory, and the acceptance of play have an important role in child development. In recent years, play and the importance of innovative/ self-initiated play have been associated with a number of important societal issues. The impact of play and/or lack of play during the developmental stages of childhood directly influence a child's ability to mature and adapt into society. In order to investigate the overall perceptions of play and play space among the average child in their middle childhood, a questionnaire survey was distributed and analyzed using SSPS 15.0. This survey was conducted within the site specific context of South Korea. Interestingly enough, the differences in the responses can be organized into three main categories: age, gender and housing type. In result different directions for further study and research for future play spaces and play environments that support innovated/ self-initiated play have been suggested.

• 한국IT서비스학회지
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• 제22권4호
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• pp.123-140
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• 2023

In recent times, the global economy has been subject to increasing volatility, which has made it considerably more difficult to accurately predict economic indicators compared to previous periods. In response to this challenge, the present study conducts an exploratory investigation that aims to predict the Business Survey Index (BSI) by leveraging data mining techniques on both structured and unstructured data sources. For the structured data, we have collected information regarding foreign, domestic, and industrial conditions, while the unstructured data consists of content extracted from newspaper articles. By employing an extensive set of 44 distinct data mining techniques, our research strives to enhance the BSI prediction accuracy and provide valuable insights. The results of our analysis demonstrate that the highest predictive power was attained when using data exclusively from the t-1 period. Interestingly, this suggests that previous timeframes play a vital role in forecasting the BSI effectively. The findings of this study hold significant implications for economic decision-makers, as they will not only facilitate better-informed decisions but also serve as a robust foundation for predicting a wide range of other economic indicators. By improving the prediction of crucial economic metrics, this study ultimately aims to contribute to the overall efficacy of economic policy-making and decision processes.

• 정보화연구
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• 제11권1호
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• pp.63-73
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• 2014

웹의 발달로 텍스트 등으로 이루어진 비정형 데이터의 활용에 대한 관심이 높아지고 있다. 웹상에서 사용자들이 작성한 대부분의 비정형 데이터는 사용자의 주관이 담겨져 있어 이를 적절히 분석할 경우 사용자의 취향이나 주관적인 관점 등의 아주 유용한 정보를 얻을 수 있다. 이 논문에서는 이러한 비정형 텍스트 문서를 다양한 차원으로 분석하기 하는데 OLAP(온라인 분석 처리)의 다차원 데이터 큐브 기술을 활용한다. 다차원 데이터 큐브는 간단한 문자나 숫자 형태의 정형적인 데이터에 대해 다차원 분석하는데 널리 사용되었지만, 텍스트 문장으로 이루어진 비정형 데이터에 대해서는 활용되지 않았다. 이러한 텍스트 데이터베이스에 포함된 정보를 다차원으로 분석하기 위한 방법으로 텍스트 큐브 모델이 최근에 제안되었는데, 이 텍스트 큐브는 정보 검색에서 널리 사용하는 용어 빈도수(Term Frequency)와 역 인덱스(Inverted Index)를 측정값으로 이용하여 텍스트 데이터베이스에 대한 다차원 분석을 지원한다. 이 논문에서는 이러한 다차원 텍스트 큐브를 활용하여 실제 서비스되고 있는 호텔 정보 공유 사이트의 리뷰 데이터 분석에 활용하였다. 이를 위해 호텔 리뷰 데이터에 대한 다차원 텍스트 큐브를 생성하였으며, 이를 이용하여 다차원 키워드 검색 기능을 제공하여 사용자 중심의 의미있는 정보 검색이 가능한 시스템을 설계 및 구현하였다. 또한, 본 논문에서 제안하는 시스템에 대해 다양한 실험을 수행하였으며 이를 통해 제안된 시스템의 실효성을 검증하였다.

• 한국산학기술학회논문지
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• 제18권1호
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• pp.85-94
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• 2017

본 논문은 유아교육기관의 실외공간인 바깥놀이터의 다양한 공간 구성과 그 속에서 이루어지는 유아 간, 교사-유아간 상호작용을 통해 유아와 교사가 경험하게 되는 공간의 의미가 어떠한지를 탐색해 보고자 하였다. 이를 위해 다양한 프로그램을 운영하는 유치원 3곳과 어린이집 1곳을 선정하여 유아들의 바깥놀이 활동 시간을 중심으로 한 비참여 관찰과 유아를 대상으로 한 비형식적 면담, 교사를 대상으로 한 심층면담을 실시하였다. 연구결과 참여한 기관의 바깥놀이 공간 구성에 따라 유아들은 바깥놀이 공간을 자신의 심리를 재현 또는 표출하는 공간, 일상생활이 확장된 공간, 관계가 연속적으로 지속되는 공간으로 인식하였다. 반면 유아교사의 경우에는 기능적 공간, 제한된 공간, 분리된 공간으로 인식하는 경향성을 나타내었다. 이러한 결과를 통해 유아는 바깥놀이 공간에서 또래관계를 자연스럽게 형성 할 수 있는 기회와 확장된 놀이를 통해 유아자신의 일상성을 재구성하는 경험을 한다는 것과, 아동중심의 발달에 적합한 공간구성은 기능적이고 획일화된 바깥놀이 공간 구성이 아닌 유아들의 일상적인 삶과 관계성 속에서 이루어져야함을 알 수 있었다.

• 풍력에너지저널
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• 제2권1호
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• pp.61-67
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• 2011

In the present study, numerical unsteady simulations of the NREL Phase VI wind turbine in downwind operation conditions were conducted to investigate rotor-tower interaction. The calculations were performed using an unstructured mesh, incompressible Reynolds-averaged Navier-Stokes flow solver. To capture the unsteady effects associated with the tower shadow between the rotor blades and the tower, the wind turbine was modelled including the rotor, tower, hub, and nacelle. The present results generally showed good agreements with available experimental data. At the lowest wind speed, the pressure distribution was characterized by a complete collapse of the suction peak on the blade when the blade passes through the tower wake. It was found that unsteady effects play a significant role in the response of the blades.

• 가정과삶의질연구
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• 제25권5호
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• pp.167-183
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• 2007

The purpose of this study was to investigate the changes in infant-mother interactions and to measure infant-mother interaction, mutuality, and reciprocity at the 2nd and 6th postnatal monthperiods. Infant-mother interaction was assessed in the mornings, afternoons, and evenings in the 2nd and 6th postnatal months, by filming unstructured free play in the home and analyzing 28 of these infant-mother film recordingsusing two trained observers. This study can be summarized in five points. First, the separate frequency distribution of each category in MIIBR's maternal behavior was as follows: the frequencies of vocalization category, the kinesthetic exercise & physical contact category, the physical caregiving category, and theuse of play tool category. These all showed changes in the 6th postnatal month compared to the 2nd postnatal month. Second, the separate frequency distribution of each category in MIIBR's infant behavior was as follows: the frequencies of physical behavior category, the vocalization category, and the play behavior category. These also all showed changes in the 6th postnatal month compared to the 2nd postnatal month. Third, the mutuality and reciprocity of mother interaction decreased in the 2nd postnatal month compared to the 6th postnatal month. Fourth, mutuality and reciprocity in the infant interaction increased in 2nd postnatal month compared to the 6th postnatal month. Fifth, mutuality and reciprocity in the infant-mother interaction increased in 2nd postnatal month compared to the 6th postnatal month. In conclusion, it is evident that infant-mother interactions change over time. This study bears particular significance in setting a foundation for the theoretical basis of the interaction between infant and mother by observation.

• 한국임상약학회지
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• 제27권4호
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• pp.221-227
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• 2017

Background: As personalized healthcare industry has attracted much attention, big data analysis of healthcare data is essential. Lots of healthcare data such as product labeling, biomedical literature and social media data are unstructured, extracting meaningful information from the unstructured text data are becoming important. In particular, text mining for adverse drug reactions (ADRs) reports is able to provide signal information to predict and detect adverse drug reactions. There has been no study on text analysis of expert opinion on Korea Adverse Event Reporting System (KAERS) databases in Korea. Methods: Expert opinion text of KAERS database provided by Korea Institute of Drug Safety & Risk Management (KIDS-KD) are analyzed. To understand the whole text, word frequency analysis are performed, and to look for important keywords from the text TF-IDF weight analysis are performed. Also, related keywords with the important keywords are presented by calculating correlation coefficient. Results: Among total 90,522 reports, 120 insulin ADR report and 858 tramadol ADR report were analyzed. The ADRs such as dizziness, headache, vomiting, dyspepsia, and shock were ranked in order in the insulin data, while the ADR symptoms such as vomiting, 어지러움, dizziness, dyspepsia and constipation were ranked in order in the tramadol data as the most frequently used keywords. Conclusion: Using text mining of the expert opinion in KIDS-KD, frequently mentioned ADRs and medications are easily recovered. Text mining in ADRs research is able to play an important role in detecting signal information and prediction of ADRs.

• Journal of Multimedia Information System
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• 제6권4호
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• pp.217-224
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• 2019

As the world's population grows, how to maintain the food supply is becoming a bigger problem. Now and in the future, big data will play a major role in decision making in the agriculture industry. The challenge is how to obtain valuable information to help us make future decisions. Big data helps us to see history clearer, to obtain hidden values, and make the right decisions for the government and farmers. To contribute to solving this challenge, we developed the Agriculture Big Data Analysis System. The system consists of agricultural big data collection, big data analysis, and big data visualization. First, we collected structured data like price, climate, yield, etc., and unstructured data, such as news, blogs, TV programs, etc. Using the data that we collected, we implement prediction algorithms like ARIMA, Decision Tree, LDA, and LSTM to show the results in data visualizations.