• Science of Emotion and Sensibility
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• v.11 no.4
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• pp.629-636
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• 2008

In recent years, a large number of robots have been developed in several countries, and these robots have been built for the purpose to appeal to users by well designed human-robot interaction. In case of the robots developed so far, they show proper reactions only when there is a certain input. On the other hands, they cannot perform in a standby mode which means there is no input. In other words, if a robot does not make any motion in standby mode, users may feel that the robot is being turned-off or even out of work. Especially, the social service robots maintain the standby status after finishing a certain task. In this period of time, if the robots can make human-like behavioral patterns such like a person in help desk, then they are expected to make people feels that they are alive and is more likely to interact with them. It is said that even if there is no interaction with others or the environment, people normally reacts to internal or external stimuli which are created by themselves such as moving their eyes or bodies. In order to create robotic behavioral patterns for standby mode, we analyze the actual facial expression and behavior from people who are in neutral affective emotion based on ethnographic methodology and apply extracted characteristics to our robots. Moreover, by using the robots which can show those series of expression and action, our research needs to find that people can feel like they are alive.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.3934-3943
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• 2015

This study was conducted to investigate the incidence rate of metabolic syndrome, and the related factors were examined. 620 persons who had participated in both initial and second survey were selected. Initial survey was performed at the year of 2006 and second survey was performed at the year of 2010. Among them, 460 persons who didn't initially have a metabolic syndrome were selected as the final study subjects. They were classified into 2 categories; stationary normal group (352, 76.5%), and metabolic syndrome incidence group (108, 23.5%). The incidence rate of metabolic syndrome for the subjects was 25.2 per 1,000 person years. Sex, obesity, and smoking had significant effect on the incidence of metabolic syndrome. In multiple logistic regression analysis,after controlling variables, obesity index was found to be major factor in the incidence of metabolic syndrome. The risk of metabolic syndrome was increased by overweight or obesity. The strategy to control body weight should be emphasized for prevention of metabolic syndrome.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.224-230
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• 2019

The purpose of the study is to investigate the change in the blood progesterone (P4) and estrogen (E2) levels when applying different estrus induction protocols to Korean black goats, and this was done to gain understanding about their reproduction physiology. For the experiment, we performed three estrus induction protocols that are commonly used in bovine: controlled internal drug release (CIDR) + prostaglandin $F2{\alpha}$ ($PGF2{\alpha}$), $PGF2{\alpha}$ + gonadotropin-releasing hormone (GnRH) + $PGF2{\alpha}$, and CIDR + $PGF2{\alpha}$ + PMSG. The P4 and E2 concentrations showed different patterns until the last treatment of the three protocols. However, similar concentration patterns were shown after the last treatment in all the protocols. In conclusion, we monitored the blood P4 and E2 levels in Korean black goats following three different estrus induction protocols. Our findings may be used in other breeding programs of Korean black goats, such as artificial insemination and embryo transfer.

• The Korean Journal of Applied Statistics
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• v.33 no.5
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• pp.555-567
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• 2020

Hypertension has a steadily increasing incidence rate as well as represents a risk factors for secondary diseases such as cardiovascular disease. Therefore, it is important to predict the incidence rate of the disease. In this study, we constructed nomograms that can predict the incidence rate of hypertension. We use data from the Korean National Health and Nutrition Examination Survey (KNHANES) for 2013-2016. The complex sampling data required the use of a Rao-Scott chi-squared test to identify 10 risk factors for hypertension. Smoking and exercise variables were not statistically significant in the Logistic regression; therefore, eight effects were selected as risk factors for hypertension. Logistic and Bayesian nomograms constructed from the selected risk factors were proposed and compared. The constructed nomograms were then verified using a receiver operating characteristics curve and calibration plot.

• The Korean Journal of Applied Statistics
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• v.28 no.6
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• pp.1063-1073
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• 2015

In the long-term care insurance (LTCI) system, National Health Insurance Service (NHIS) provide counseling services for beneficiaries and their family caregivers, which help them use LTC services appropriately. The purpose of this study was to develop a Target Selection Model for the Counseling Services based on needs of beneficiaries and their family caregivers. To develope models, we used data set of total 2,000 beneficiaries and family caregivers who have used the long-term care services in their home in March 2013 and completed questionnaires. The Target Selection Model was established through various data-mining models such as logistic regression, gradient boosting, Lasso, decision-tree model, Ensemble, and Neural network. Lasso model was selected as the final model because of the stability, high performance and availability. Our results might improve the satisfaction and the efficiency for the NHIS counseling services.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.827-839
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• 2022

The severity of smartphone dependence among early adolescents, known as the most vulnerable group to smartphone addiction, is increasing. In this study, the factors affecting the smartphone dependence of early adolescents were analyzed by separating into elementary school and middle school students. For this purpose, the 1st data from Korean Children and Youth Panel Survey(2018) was used. The subjects of the study were 2,607 4th grade from elementary school and 2,590 1st grade from middle school. Factors that affect to smartphone dependence of both elementary and middle school students in common were gender, self-esteem, aggression, time spent with parents, and negative parenting attitude. On the other hand, region(city size), economic level, health status, school life satisfaction, and relationship with teachers were significant in the smartphone dependence of elementary school students, but not in middle school students. In middle school students, positive parenting attitudes were significant. Based on the results of the analysis, implications for policy establishment and social service provision were drawn to encourage the proper use of the by early youth.

• 한국노년학
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• v.30 no.3
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• pp.759-778
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• 2010

The purposes of this study were to identify living behavioral patterns in of single or couple elderly households in residential environment, to find out ubiquitous home services for the elders, and finally to suggest the ubiquitous home services according to each household's type. For this study, literature review, field works for ubiquitous home services for the elders, and in-depth interview and observation by 74 elderly participants were conducted. The major findings of the study were as follows: single or spouse elderly households were classified into 8 types according to the combination of their household types, income level, and health status. Among 8 types, 2 types were excluded for final analysis due to small sample size. Living behavioral characteristics of 6 types were analyzed and the behavioral pattern of each type was drawn. Based on this behavioral pattern of each type, ubiquitous home services which meet the needs of each type were suggested. The implications and limitations of this study were also discussed and the suggestions for further studies were recommended.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.34-34
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• 2020

희귀식물(LC)인 낙지다리(Penthorum chinense Pursh.)는 '수택란', '차근채'로 불리며 약용으로 사용되어 왔으나, 최근 하천개수 및 습지매립 등으로 자생지가 파괴되어 개체수가 급감하고 있다. 따라서 본 연구는 낙지다리의 종 보존 및 활용을 위하여 종자의 최적발아조건을 확인하고자 수행하였다. 종자는 2017년 국립백두대간수목원에서 수집되어 연구에 사용되기 전까지 건조 상태(15℃, 15% RH)로 시드뱅크(-20℃, 40% RH)에 저장하고 있었다. 종자의 최적발아조건을 확인하기 위하여, 항온과 변온 66조건에서 발아율과 최종발아율의 50%가 발아하는데 소요되는 일 수(T₅₀)를 조사하였으며, 생리적 휴면 타파를 위해서 GA₃(20~1000 mg·L^-1) 처리 후 발아율과 T₅₀을 조사하였다. 그리고 GA₃ 처리에 따른 유묘 생장에 대한 GA₃의 영향을 확인하기 위하여 종자 치상 30일 후 유근·아 생장에 대한 영향을 조사하였다. 낙지다리 종자는 항온보다 변온에서 발아율 증가와 T₅₀ 감소를 보였다. 특히 낮/밤의 온도 차가 11~25℃일 때, 85%이상의 발아율을 보였고, 그 이상의 온도차이가 나면 발아율은 감소하는 경향을 보였다. T₅₀은 온도차가 증가할수록 감소하여, 발아가 균일하며 빨라지는 것을 확인 할 수 있었다. 또한 GA₃ 처리시 생리적 휴면 타파가 진행되어 발아율(79.8%~100%)과 발아속도가 증가(T₅₀ 감소)함을 확인하였으나, GA₃ 100mg·L^-1 이상의 농도에서는 무처리(21.2m)에 비하여 유근의 길이 생장을 0.11~6.88mm로 지연시켰다.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.4
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• pp.237-250
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• 2023

Orthophotos and DEMs were generated by UAV-based aerial photogrammetry and an attempt was made to apply them to detailed investigations for the production of flood traces. The cultivated area located in Goa-eup, Gumi, where the embankment collapsed and inundated inundation occurred due to the impact of 6th Typhoon Sanba in 2012, was selected as rhe target area. To obtain optimal accuracy of UAV photogrammetry performance, the UAV images were taken under the optimal placement of 19 GCPs and then point cloud, DEM, and orthoimages were generated through image processing using Pix4Dmapper software. After applying CloudCompare's CSF Filtering to separate the point cloud into ground elements and non-ground elements, a finally corrected DEM was created using only non-ground elements in GRASS GIS software. The flood level and flood depth data extracted from the final generated DEM were compared and presented with the flood level and flood depth data from existing data as of 2012 provided through the public data portal site of the Korea Land and Geospatial Informatix Corporation(LX).

• Journal of dental hygiene science
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• v.15 no.2
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• pp.145-152
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• 2015

In this study, PASW Statistics ver. 18.0 was used to analyze the correlation between chewing difficulty and osteoarthritis in the population of 8,498 persons aged 50 years and older who had completed the health related questionnaire in the fifth Korea National Health and Nutrition Examination Survey in 2010~2012. The following conclusion was drawn: The distribution of the chewing difficulty status showed that 38.8% of the respondents had chewing difficulty and that there was no significant difference by gender. Older respondents tended to have significantly greater chewing difficulty 34.3% of the respondents aged from 50 to 64 years and 46.4% of those aged 65 years and older, those who had lower levels of education and income, who were smokers, and who had higher levels of depression and stress suffered from significantly greater chewing difficulty. Chewing difficulty and osteoarthritis were correlated with each other: the respondents having chewing difficulty had 1.44 (95% confidence interval [CI], 1.23~1.70) higher prevalence of osteoarthritis than those with no such difficulty. In addition, such correlation was not found in males: the former had 1.36 (95% CI, 0.98~1.88) higher prevalence of osteoarthritis than the latter, which was not statistically significant. Such correlation was found in females: the former had 1.47 (95% CI, 1.22~1.76) higher prevalence of osteoarthritis than the latter, which was statistically significant. Therefore, the chewing difficulty status affected osteoarthritis for females aged 50 years and older. Therefore, the efforts to solve oral health problems through oral hygiene would help prevent osteoarthritis from worsening and manage the condition.