• 유통과학연구
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• 제13권7호
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• pp.19-24
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• 2015

Purpose - This study attempts to identify the attributes of home meal replacements (HMR) from the perspective of consumers as well as suggest some directions for HMR. Research Design, Data, and Methodology - For the research, food and nutrition professors were interviewed and surveys were completed using the revised Delphi method to identify attributes of HMR. Subsequently, a total of 140 food and nutrition students already aware of HMR were asked to rate the attributes in terms of importance and satisfaction. In addition, Importance-Performance Analysis (IPA) was conducted. Results - According to the analysis results, a total of seven key factors were deduced from the attributes ratings and the Kaiser-Meyer-Olkin (KMO) criteria, which is used to verify the appropriateness of the selection of the variables. Conclusion - The findings could be helpful in the future as reference data for HMR producers and distributors to assist in the diagnosis of the status of HMR. Additionally, the data may point to some areas that need greater attention in terms of production as well as marketing.

• 산업경영시스템학회지
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• 제44권2호
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• pp.66-77
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• 2021

Companies widely use survey to identify customer requirements, but the survey has some problems. First of all, the response is passive due to pre-designed questionnaire by companies which are the surveyor. Second, the surveyor needs to have good preliminary knowledge to improve the quality of the survey. On the other hand, text mining is an excellent way to compensate for the limitations of surveys. Recently, the importance of online review is steadily grown, and the enormous amount of text data has increased as Internet usage higher. Also, a technique to extract high-quality information from text data called Text Mining is improving. However, previous studies tend to focus on improving the accuracy of individual analytics techniques. This study proposes the methodology by combining several text mining techniques and has mainly three contributions. Firstly, able to extract information from text data without a preliminary design of the surveyor. Secondly, no need for prior knowledge to extract information. Lastly, this method provides quantitative sentiment score that can be used in decision-making.

• 농촌의학ㆍ지역보건
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• 제48권3호
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• pp.189-204
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• 2023

Objectives: The goals of this study are to exploring critical factors and methods to improve Korean Community Care through the cases of GyeongsangNamdo. Methods: For this study, we performed in-depth interviews with 90 people involved in Community Care services of 6 regions, and the collected data were analyzed. The collected data were analyzed utilizing NVivo12. In the end, we reconfirmed the process through Topic Modeling analysis. Results: We conducted descriptive statistics and qualitative data analysis collected through surveys and in-depth interviews. In the case of qualitative analysis, we extracted principle codes (Need, Lack, Absence), and sorted the contents into sub-categories. The response rate of 'Need to strengthen capabilities' was the highest, 'Need to communicate and share information' was the second, and 'Need for integrated operation and a control tower' was the third. Conclusion: As a result, we find the critical factors to improve Community Care. Based on them, we should conduct follow-up researches to propose concrete methods to apply to diverse regions.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2007년도 춘계학술발표회 논문집
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• pp.225-230
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• 2007

Currently, looking at the field of producing national coastlines, the lengths of coastlines are inaccurate due to the vague definition of dividing coastline boundaries and insufficient observation data. The level of accuracy and reliability of previous data are also in the very low. This paper used aerial photographs with certain intervals to monitor the change in coastal areas of Songjeong, Haeundae, Kwanganri, Songdo and Dadaepo. The local area subjected for this research was limited to areas near Busan. Launching quantitative/time series analyses on the change of coastal areas using aortal photographs, satellite image data and RTK-GPS surveys. And developing an automatic edge detection program to extract coastlines, suggesting the performance of the program and analyzing the efficiency of the program.

• 공학교육연구
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• 제15권4호
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• pp.41-47
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• 2012

Data mining and knowledge discovery techniques have shown to be effective in finding hidden underlying rules inside large database in an automated fashion. On the other hand, analyzing, assessing, and applying students' survey data are very important in science and engineering education because of various reasons such as quality improvement, engineering design process, innovative education, etc. Among those surveys, analyzing the students' views on science-technology-society can be helpful to engineering education. Because, although most researches on the philosophy of science have shown that science is one of the most difficult concepts to define precisely, it is still important to have an eye on science, pseudo-science, and scientific misconducts. In this paper, we report the experimental results of applying decision tree induction algorithms for analyzing the questionnaire results of high school students' views on science-technology-society (HS-VOSTS). Empirical results on various settings of decision tree induction on HS-VOSTS results from one South Korean university students indicate that decision tree induction algorithms can be successfully and effectively applied to automated knowledge discovery from students' survey data.

• 응용통계연구
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• 제11권1호
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• pp.83-95
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• 1998

본 논문에서는 여론조사를 비롯한 표본조사에서 얻어지는 범주형 자료에서 결측치(missing observation)나 무응답(nonresponse)이 발생했을 때 이러한 자료를 적절하게 처리하여 분석할 수 있는 통계모형을 소개하고 실제 사례로서 1948년도에 미국에서 실시한 대통령 선거에 대한 여론조사 자료를 분석하였다. 당시 미국 여론조사 기관에서는 Dewey 후보가 압승을 거둘 것으로 예상을 했지만 실제 선거에서는 Truman 후보가 승리했었다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.310-313
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• 2004

The aim of this study is to evaluate the hazard of landslides at Penang, Malaysia, using a Geographic Information System (GIS) and remote sensing. Landslide locations were identified in the study area from interpretation of aerial photographs and from field surveys. Topographical and geological data and satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. The factors chosen that influence landslide occurrence were: topographic slope, topographic aspect, topographic curvature and distance from drainage, all from the topographic database; lithology and distance from lineament, taken from the geologic database; land use from TM satellite images; and the vegetation index value from SPOT satellite images. Landslide hazardous area were analysed and mapped using the landslide-occurrence factors by logistic regression model. The results of the analysis were verified using the landslide location data and compared with probabilistic model. The validation results showed that the logistic regression model is better prediction accuracy than probabilistic model.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2009년도 춘계학술발표회 논문집
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• pp.49-53
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• 2009

본 연구에서는 현재 활발한 연구가 진행되고 있는 고정밀 지오이드 모델 개발에 있어서 중요한 요소 중 하나인 지상중력자료를 획득하기 위해 상대중력계를 이용하여 중력을 측정 하였다. 1등 수준노선 총 58점의 수준점에 대하여 상대중력측량을 실시하였고 이렇게 얻어진 중력값으로부터 지구조석보정 및 기계고 보정 후 자유망조정 방법을 이용하여 중력성과를 계산하였다. 이와 같은 방법을 통해 얻어지는 지상중력자료들은 고정밀 지오이드 모델 개발에 큰 기여를 할 것으로 판단된다.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2008년도 공동추계학술대회
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• pp.151-152
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• 2008

The planning and management of the watershed environment require huge amount of information regarding almost all aspects of natural and manmade features of the area. Until lately this study could be achieved through days of exhaustive surveys map generation and tedious calculations. Remote sensing and GIS provides huge temporal database for an area and GIS provides the powerful tool for spatial and non-spatial analysis of remotely sensed data. The paper highlights the assessment of land potentiality using weighed overlay analysis with drainage density, soil, slope and lineament, LULC map was used to identify the utilization area of the watershed. The arithmetic overlay analysis was performed with potential and utilization layer to assess the availability of land for the future development.

• 한국융합학회논문지
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• 제5권3호
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• pp.45-51
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• 2014

Computer science and computing technologies are applied into mathematical, science, medical, engineering and educational applications. The models are used to solve the issues in all the domains. Educational systems are used top down, bottom up, Gap Analysis model in the educational learning system. Educational learning process integrated with Lerner, content and the methodology. The Learners and content are same in the educational system or similar courses but the teaching methodologies are differing one with another. The determinations of teaching methodologies are based on the factors related to that particular model or subject. The learning model influencing determinations are made by the surveys, analysis and observation of data to maximize the learning outcome. This paper attempted to evaluate the SNE learners cognitive using NASA Scaling.