• Information Systems Review
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• v.17 no.3
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• pp.95-111
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• 2015

The recommendation system automatically provides the predicted items which are expected to be purchased by analyzing the previous customer behaviors. This recommendation system has been applied to many e-commerce businesses, and it is generating positive effects on user convenience as well as the company's revenue. However, there are several limitations of the existing recommendation systems. They do not reflect specific criteria for evaluating products or the factors that affect customer buying decisions. Thus, our research proposes a collaborative recommendation model algorithm that utilizes each customer's online product reviews. This study deploys topic modeling method for customer opinion mining. Also, it adopts a kernel-based machine learning concept by selecting kernels explaining individual similarities in accordance with customers' purchase history and online reviews. Our study further applies a multiple kernel learning algorithm to integrate the kernelsinto a combined model for predicting the product ratings, and it verifies its validity with a data set (including purchased item, product rating, and online review) of BestBuy, an online consumer electronics store. This study theoretically implicates by suggesting a new method for the online recommendation system, i.e., a collaborative recommendation method using topic modeling and kernel-based learning.

• 한국노년학
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• v.37 no.2
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• pp.369-383
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• 2017

The purpose of this study was to investigate levels of dementia knowledge, dementia attitude, and physical activities and whether dementia knowledge and dementia attitude affect physical activities in old-old elderly who had high risk of dementia. A descriptive study design was used. Participants were 218 old-old elderly above 75 years at 9 elderly welfare facilities in K county from June 1 to 30 in 2016. Collected data were analyzed by t-test, ANOVA, Pearson's correlation coefficient, hierarchical regression using SPSS WIN 18.0 program. The mean scores of dementia knowledge, dementia attitude, and physical activity of participants were low, there were positive correlations between dementia knowledge and dementia attitude (r=.380, p<.001), and physical activities (r=.211, p=.002), and between dementia attitude and physical activities (r=.380, p<.001). The significant predictors of physical activities were dementia attitude (${\beta}=.271$, p<.001), gender (${\beta}=.207$, p=.003) and education level (${\beta}=.184$, p=.023). These variables explained 28.8% of physical activities. In conclusion, we need to develop a customized multifactorial physical activity program with considering dementia knowledge and dementia attitude especially for old-old elderly women with low education level.

• Journal of agricultural medicine and community health
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• v.37 no.1
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• pp.12-22
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• 2012

Objectives: This study aimed to compare the nutritional risk, health status and depression levels of young-old (65-74 years) and old-old (75-84 years) women on low-income. Methods: A total of 624 elderly women, each over 65 years of age, participated in this study under the auspices of a community social center. Data were collected from June to August 2011 by means of personal interviews which employed questionnaires. The research tools used in this study were the nutritional risk measuring Mini Nutritional Assesment (MNA) by Kim (2000), perceived health status developed by Lawton et al. (1982), Elderly Depression Criterion developed by Sheikh & Yesavage (1985). The collected data were analyzed using the SPSS WIN 12.0 Program. Results: Nutritional risk, perceived health status and depression levels showed a significant difference between young-old and old-old. There was a positive correlation between nutritional risk and depression and a negative correlation between nutritional risk and perceived health status. A 38.2% variance in depression levels of young-old and a 29.7% variance in depression levels of old-old were explained by perceived health status, nutritional risk and the number of people living together. Conclusion: The findings demonstrate variances in depression levels among low - income women differing in age. As a result, the outcomes of this study ought to be employed in the development of future programs aimed at promoting the health of elderly women.

• Proceedings of the Korean Nuclear Society Conference
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• 1996.11a
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• pp.435-440
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• 1996

PHEBUS FPT0 노내실험의 핵연료 다발에 대한 실험후 비파괴 검사 및 파괴 검사 결과를 분석하여 노심손상 후기과정을 정alf 분석하였다. 분석한 비파괴 검사결과는 gamma scanning, radiography, tomographies 였으며 파괴 검사 결과는 정밀사진, metallography, Electron Probe Micro Analysis(EPMA)였다. 그 결과, PHEBUS-FPT0 실험에 사용한 핵연료다발은 기존에 수행된 어떤 다른 노내실험의 핵연료다발보다 많이 용융되었으며 용융 pool 및 피막충의 형성, 용융물 내부의 자연대류 열전달과 이에 따른 shroud 물질 손상, 핵연료다발 물질들간의 eutectic 형성 등을 보여주었다. 특히 Ag-In-Cd 제어봉 물질과 stainless-steel이 핵연료봉 물질과 반응하여 이들의 용융온도를 낮게하여 실험 예측값보다 많이 핵연료다발이 손상되어 기존 중대사고 해석 전산코드의 개선이 요구되었다.

• Korean Journal of Child Studies
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• v.28 no.5
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• pp.19-36
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• 2007

This study explored proverb comprehension and use in elementary school children by familarity and concreteness of proverbs and children's age, sex, experience of living with grandparents. The 529 fourth and sixth grade participants completed a questionnaire probing knowledge of 16 proverbs; 4 each in four categories(familiar-concrete, familiar-abstract, unfamiliar-concrete, and unfamiliar-abstract). Results showed highest comprehension scores for familiar-concrete proverbs. Sixth graders obtained higher comprehension score than fourth graders in all four proverb categories. There was no difference between grades in frequency of proverb usage. An interaction effect between grade and sex showed that female sixth graders had the highest comprehension score. These results suggest a possibility of relationship between figurative language and cognitive development related to abstract thinking in late school-age children.

• The Korean Journal of Applied Statistics
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• v.7 no.2
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• pp.79-88
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• 1994

Weighted log rank test is a widely applicable test when one is interested in detecting the differences between two groups. In man clinical trials it is common to see no differences in early experiments and does show significant differences later. We propose new weighted log rank test and illustrate it through an example. We also examine the empirical powers and show that the proposed test is more sensitive to detect late differences.

• 한국벤처창업학회:학술대회논문집
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• 2019.04a
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• pp.37-43
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• 2019

본 연구에서는 귀농 귀촌인들이 성공적인 정착을 할 수 있는 계기를 마련하고자 '소셜미디어' 활용 사례를 연구하였다. 연구를 위해 귀농 귀촌 현상을 살펴보고 소셜미디어의 중요성을 알아보았다. 귀농 귀촌인 대상을 선정하여 인터뷰를 진행하였으며 필립코틀러의 마켓4.0의 5가지 마켓경로(인지, 호감, 질문, 행동, 옹호)와의 연관성을 사례분석을 통해 살펴보았다. 연구결과로 첫째, 귀농 귀촌인이 직접 재배하는 친환경 농산물을 성공적으로 판매할 수 있었던 주요 원인은 다음과 같다. 첫째, 소셜미디어를 적극적으로 활용했다. 둘째, 계절마다 농산물을 재배하고 수확하는 과정을 체험할 수 있는 프로그램을 운영하여 농산물에 대한 만족도를 높였다. 셋째, 현장체험 및 농산물의 사용 후기, 가격 등을 다양한 채널에서 검색을 가능하게 했으며 각 채널마다 고객과의 소통을 원활하게 했다. 넷째, 소셜미디어 운영에 있어 지속적으로 새로운 콘텐츠를 노출하여 연속적인 구매활동을 유도했다. 다섯째, 구매 후기를 활용하여 재구매를 유도했다.

• The Korean Journal of Applied Statistics
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• v.32 no.6
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• pp.837-849
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• 2019

Latent class models (LCM) are useful tools to draw hidden information from categorical data. This model can also be interpreted as a mixture model with multinomial component distributions. In some cases, however, an available dataset may contain both categorical and count or continuous data. For such cases, we can extend the LCM to a mixture model with both multinomial and other component distributions such as normal and Poisson distributions. In this paper, we consider a LCM for the data containing categorical and count data to analyze the Drug Review dataset which contains categorical responses and text review. From this data analysis, we show that we can obtain more specific hidden inforamtion than those from the LCM only with categorical responses.

• 재활복지
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• v.22 no.2
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• pp.213-230
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• 2018

The study looked at the impact on the health of the spine caused by the increasing addiction to smart phones, and examine the moderating effect of adjusting spinal health according to cognitive strength. All subjects used the smartphone by measuring the diagnostic scale of the smartphone addiction, the angle of forward inclination of the cervical spine, and the amplitude variation of the cognitive Gamma-Peak of the brain waves. As a result, as the use of smart phones increases, the spine angle significantly increased (p<0.001), as cognitive strength increased, the spine angle decreased significantly (p<0.01). The cognitive strength also showed the effect of adjusting the spine angle through interaction with the degree of use of a smartphone (p<0.05). This results in a higher degree of smartphone use in lower and middle cognition strength groups, which results in a higher angle of forward tilt in the cervical spine.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.267-281
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• 2018

Internet only Banks in Korea have acquired more than seven million customer base, but most of the accounts are not active. As financial products tend to be similar, customer affect plays more crucial role than service features in continuance intention. The purpose of this research is to study about the impact of positive and negative affect on the continuance intention. The result indicated that positive affect is positively related to continuance intention, and negative affect is negatively related to continuance intention. Also expectation confirmation is positively related to positive affect. The results imply Internet only Banks need to focus on customer's positive affect and expectation confirmation to improve continuance intention.