• The KIPS Transactions:PartD
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• v.16D no.1
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• pp.43-54
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• 2009

The purpose of this study is to explore variables that affect users' perceived value of mobile advertising and actual response intention and to analyze causal relationships among variables. In order to verify the relational significance, we built new research model and hypotheses based on the Ducoffe's model(1996). And we found out four independent variables such as entertainment, information usefulness, convenience, economical efficiency, and advertising impact's value as a mediating variable. Especially, we classified into four multi-age groups to investigate properly moderating effects through SEM(path analysis) and difference test. Therefore, it is academical and practical worth that we developed our model to appropriate on mobile advertising's unique property and that we verified our hypotheses and variables focused on age group, whereas previous research did not. For this, we surveyed 345 samples for conducting structural equation modeling in empirical approach. The results of this study supported the statistical significance of all hypotheses except but convenience.

• Korean Journal of Agricultural Science
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• v.9 no.1
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• pp.260-268
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• 1982

The study has been carried out to investigate the relationship of certain factors to the private owners' attitudes toward forest management. The dependent variable is the attitude toward forest management, and the six independent variables are owner's age, educational level, forestland area, socioeconomic status, communicational and sociopsychological factors. The dependent variables were measured by Likert attitude scale. The data used in the study were obtained from 262 common-and model-forest owners, and analyzed primarily by multiple correlation statistical technique. Major findings of the study are summarized as follows; 1. The average score of common-owners' attitudes toward forest management is significantly lower than that of model-owners'. The scores of such independent variables as age, forestland area, socioeconomic status and communication of common-owners are also significantly lower than those of model-owners', while the significant difference of sociopsychological scores is not recognized between two owner groups. 2. The common-owners' attitudes toward forest management are negatively correlated with age variable, arid positively with other independent variables. On the other hand, the model-owners' are negatively correlated with education variable, arid positively with age, communicational and sociopsychological factors. 3. The multiple correlation coefficient between common-owner' management-attitude scores and six independent variables is 0.6971. About 41 percent of the variance of this attitude cart be explained by sociopsychological factor, and other 7 percent by communicational variable. In case of model-owners, the multiple correlation coefficient is 0.5207, and about 16.2 percent of the variance of the attitude can be explained by sociopsychological factor and 6 percent by age variable. 4. The multiple correlation coefficient between the attitude scores of all-owners arid such seven different personality factors as fatalistic, trustful, cooperative, ambitious, conservative, scientific and traditional familism personalities is 0.6566. In this case, 15 percent of the variance of the management-attitude can be explained by ambitious personality, and 11.2 percent by traditional familism. 5. The private forest owners' attitudes toward forest management are greatly affected by sociopsychological and communicational factors. The emphasis should be therefore put on the forestry extension works to induce private owners to management practices.

• Journal of the Korean GEO-environmental Society
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• v.24 no.12
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• pp.61-67
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• 2023

Heat pipes located underground in urban areas and operated under high temperature and pressure conditions can cause large-scale human and economic damage if damaged. In order to predict damage in advance, damage and construction information of heat pipe are analyzed to derive independent variables that have a correlation with frequency of damage, and a simple regression analysis modified model using each variable is applied to the field. However, as the correlation between independent variables applied to the model increases, the independence between variables is harmed and the reliability of the model decreases. In this study, the independence of the pipe diameter, burial depth, insulation level of monitoring system, and disconnection or short circuit of the detection line, which are judged to be interrelated, was tested to derive a method for combining variables and setting categories necessary to apply to the frequency of damage estimation model. For the test of independence, the continuous variables pipe diameter and burial depth were each converted into three categories, insulation level of monitoring system was converted into two categories, and the categorical variable disconnection or short circuit of the detection line status was kept as two categories. As a result of the test of independence, p-value between pipe diameter and burial depth, level of monitoring system and disconnection or short circuit of the detection line was lower than the significance level (α = 0.05), indicating a large correlation between them. Therefore, the pipe diameter and burial depth were combined into one variable, and the categories of the combined variable were set to 9 considering the previously set categories. The insulation level of monitoring system and the disconnection or short circuit of the detection line were also combined into one variable. Since the insulation level is unreliable when the detection line status is disconnection or short circuit, the categories of the combined variable were set to 3.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.425-430
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• 2006

현재 대부분의 데스크탑 시스템에서 사용자는 단지 하나의 마우스를 사용해서 컴퓨터와 상호작용을 하고 있다. 본 논문에서는 각각의 손으로 동시에 두 개의 마우스들을 사용할 때, 작업 성능에 대한 효과를 살펴보고자 한다. 본 논문에서의 실험에서는 데스크탑 환경에 기반한 간단한 게임 (날아오는 총알 피하기와 잡기)에서 세 개의 독립 변수들로 한 손 또는 양 손 사용 여부, 주위 상황(총알)의 변화 속도, 그리고 두 커서(캐릭터)들간의 거리 차이를 사용하고, 종속 변수로 사용자의 작업 성능(부딪친 총알 개수)을 측정하였다. 실험 결과에 의하면, 두 커서 (또는 두 캐릭터)와의 동시 상호작용이 필요할 때 한 손보다는 양 손을 사용할 때의 작업 성능이 통계적으로 유의하게 좋았고, 두 커서 사이에 거리가 멀수록, 그리고 총알의 속도가 느릴수록 작업 성능은 유의하게 좋았다. 독립 변수들 사이에는 서로 유의한 교호작용이 나타나지 않았는데, 이것은 작업 성능에 대한 양손의 효과가 다른 독립 변수들의 각 레벨과는 상관이 없었다는 것을 의미한다.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.498-500
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• 2021

본 연구에서는 음운 변동에서 나타나는 오류가 어떤 변수에 영향을 받는지 확인하여 음운 변동 연구 및 교육의 기초 자료를 제공하고자 하는 데에 목적이다. 이를 위해 유음화 발음 데이터를 이용하여 성별, 유음화의 방향, 품사, 단어의 빈도, 단어의 음절수와 유음화의 발음 적격 유무를 변수로 설정하였다. 유음화 적격률에 영향을 줄 수 있는 독립변수를 찾기 위해 카이제곱 검정과 다중공선성의 팽창계수를 먼저 확인하였다. 이후 다중 로지스틱 회귀분석과 오즈비를 통해 유의한 예측인자를 검토하였다. 그 결과 5개의 독립 변수 중 성별과 유음화의 방향, 품사가 결과를 오류에 영향을 주는 주요한 인자가 되는 것을 확인할 수 있었다.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.121-122
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• 2015

이 연구에서는 경찰공무원의 음주 및 흡연의 정도에 따른 결근 및 징계의 정도를 살펴보았다. 독립변수인 음주는 음주경험, 음주빈도, 음주량 그리고 흡연은 흡연유무, 흡연량으로 종속변수인 결근은 결근의사, 결근실행, 거짓결근 그리고 징계는 징계경험, 징계종류로 구성하여 빈도분석 및 교차분석을 실시하였다.

• Economic and Environmental Geology
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• v.35 no.5
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• pp.479-490
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• 2002

The aim of this study is to evaluate the contributions of each hydrogeological factors to groundwater recharge ratios in order to determine areal estimates of recharges in entire inland area of South Korea. For this purpose, various statistical analyses and overlay techniques of GIS were conducted fur entire area and 4 river basins of South Korea. As a result, the spatial distribution of recharge, South Korea were visualized.

• Culinary science and hospitality research
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• v.22 no.5
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• pp.82-94
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• 2016

This study on CRM oftKorean restaurant guests to test the emotional response and behavioral intention. Three kinds of variables(service quality, information quality, system quality) from Korean restaurant guests were set to test the CRM. Results of the multiple regression analysis revealed a positive significant relationship with respect to quality of service, quality information, and quality system with all customer emtional reaction. Second, the results also found that the three independent variables of quality of service (${\beta}=.104$, P<.01), information quality (${\beta}=.215$, P<.001), and system quality (${\beta}=.682$, P<001) had a significant positive effect on the dependent variable for customer behavior (+). Third, CRM quality of service, quality information, and quality of the restaurant system are shown to influence the behavior and it also showed that both the part-mediated effects.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.143-143
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• 2023

최근 대청댐('17), 평림댐('19) 등 광역 취수원에서 망간의 먹는 물 수질기준(0.05mg/L 이하) 초과 사례가 발생되어, 다수의 민원이 제기되는 등 취수원의 망간 관리 중요성이 부각되고 있다. 특히, 동절기 전도(Turn-over)시기에 고농도 망간이 발생되는 경우가 많은데, 현재 정수장에서는 망간을 처리하기 위해 유입구간에 필터를 설치하고 주기적으로 교체하는 방식으로 처리하고 있다. 그러나 단기간에 고농도 망간 다량 유입 시 처리용량의 한계 등 정수장에서의 공정관리가 어려워지므로 사전 예측에 의한 대응 체계 고도화가 필요한 실정이다. 본 연구는 광역취수원인 주암댐을 대상으로 망간 예측의 정확도 향상 및 예측기간 확대를 위해 다양한 머신러닝 기법들을 적용하여 비교 분석하였으며, 독립변수 및 초매개변수 최적화를 진행하여 모형의 정확도를 개선하였다. 머신러닝 모형은 수심별 탁도, 저수위, pH, 수온, 전기전도도, DO, 클로로필-a, 기상, 수문 자료 등의 독립변수와 화순정수장에 유입된 망간 농도를 종속변수로 각 변수에 해당하는 실측치를 학습데이터로 사용하였다. 그리고 데이터기반 모형의 정확도를 개선하기 위해서 성층의 수준을 판별하는 지표로서 PEA(Potential Energy Anomaly)를 도입하여 데이터 분석에 활용하고자 하였다. 분석 결과, 망간 유입률은 계절 주기에 따라 농도가 달라지는 것을 확인하였고 동절기 전도시점과 하절기 장마기간 난류생성 시기에 저층의 고농도 망간이 유입이 되는 것을 분석하였다. 또한, 두 시기의 망간 농도의 변화 패턴이 상이하므로 예측 모델은 각 계절별로 구축해 학습을 진행함으로써 예측의 정확도를 향상할 수 있었다. 다양한 머신러닝 모델을 구축하여 성능 비교를 진행한 결과, 동절기에는 Gradient Boosting Machine, 하절기에는 eXtreme Gradient Boosting의 기법이 우수하여 추론 모델로 활용하고자 하였다. 선정 모델을 통한 단기 수질예측 결과, 전도현상 발생 시기에 대한 추종 및 예측력이 기존의 데이터 모형만 적용했을 경우대비 약 15% 이상 예측 효율이 향상된 것으로 나타났다. 본 연구는 머신러닝 모델을 활용한 망간 농도 예측으로 정수장의 신속한 대응 체계 마련을 지원하고, 수처리 공정의 효율성을 높이는 데 기여할 것으로 기대되며, 후속 연구로 과거 시계열 자료 활용 및 물리모형과의 연결 등을 통해 모델의 신뢰성을 제고 할 계획이다.

• Journal of the Korean Geographical Society
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• v.50 no.3
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• pp.355-373
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• 2015

In this study the factors of fire damage are analyzed through previous research reviews. Local environmental factors as well as those factors attributed to fire damage (number of fire events, number of injured, number of death, economic loss) were selected to compose mutual relationship model. In order to verify this relationship model, official statistics concerning fire damage were collected from 228 local governments and compared with results from previous research. As a result of this comparison four dependent variables and 22 independent variables that affect fire damage were analyzed. Independent variables are divided into human vulnerability factors, physical vulnerability factors, economic vulnerability factors, mitigating factors and local characteristics. To analyze a relationship between selected dependent variables and independent variables, we applied a semi-logarithm model and performed regression analysis. Among the 22 independent variables, the number of the weak to disaster, social welfare service workers, workers in manufacturing industry, and the number of workers in restaurants and bars per 10,000 people show the significant correlation with the number of fire incidence. The number of death from fire is significantly related to two variables which are the number of social welfare service workers per 10,000 and the ratio of commercial area. Damage cost is significantly dependent on the property taxes per 10,000 people. These factors were included in the research model as vulnerability factors (human, physical, economic) and mitigating factors and local characteristics, and the validity of research model was verified. The result could contribute to fire-fighting resource allocation in Korea or they can be utilized in establishing fire prevention policy, which will enhance the national level of fire safety.