• Title/Summary/Keyword: basic variable

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A Study on the Determinants of "Decent Work" in the Logistics Industry : Focusing on the comparison with whole industries (물류산업의 "괜찮은 일자리(Decent Work)" 결정요인에 관한 연구 : 전체산업 모형과의 비교를 중심으로)

  • So, Ae-Rim;Shin, Seung-Sik
    • Journal of Korea Port Economic Association
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    • v.38 no.4
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    • pp.139-169
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    • 2022
  • This study derived determinants of 'Decent Work' in the logistics industry and aims to use the analysis results as basic data for policymaking related to labor in the logistics industry and to prepare policies suitable for the characteristics of the logistics industry. As the dependent variable of the model, the Decent Job derived from the first study was used, and the target model was derived from panel data of whole industries to understand the unique characteristics of logistics industry jobs and applied to the logistics industry model. This study found that in the logistics industry, developing the expertise of the logistics industry through "vocational training" compared to whole industries is an important factor rather than raising the "academic level" through the regular curriculum. This seems to reflect the characteristics of the logistics industry as specialized vocational training is required in the case of "railway transportation", "inland water and port transportation", and "air cargo transportation", which have a high proportion of decent job workers among the detailed logistics industries analyzed in this study. Therefore, developing job expertise through additional manpower training programs such as vocational training as well as academic fields learned through regular curriculum is a very important factor in engaging in "Decent Work" not only in the logistics industry but also in other industries.

Photochemical Conversion of NOX in Atmosphere by Photocatalyst Coated Mortar (광촉매 코팅한 모르타르를 이용한 대기 중 NOX의 광화학적 변환)

  • Hyeon Jin;Kyong Ku Yun;Hajin Choi;Kyo-Seon Kim
    • Korean Chemical Engineering Research
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    • v.61 no.2
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    • pp.240-246
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    • 2023
  • This study was performed to convert NOx in atmosphere by photochemical reaction utilizing the eco-friendly solar energy. The mortar specimen coated with photocatalyst was fabricated and the photochemical conversion efficiency of NOx was analyzed. The photocatalyst coated concrete was fabricated by first adding TiO2 photocatalyst on the bottom of mold first and next adding cement mortar and, then, curing the concrete mortar. The grease was sprayed on the bottom of mold in advance so that the concrete can be demolded easily after curing. The conversion efficiencies of NOx by photochemical reactions were investigated systematically by changing the process variable conditions of amount of TiO2 coating, UV-A light intensity, total gas flow rate, relative humidity and initial NOx concentration. It was confirmed that the photocatalyst coated concrete fabricated in this study could convert NOx successfully for various process conditions in atmosphere. In future, we believe this research result can be utilized as basic data to design the infrastructure of building, tunnel and road for controlling efficiently the air pollutants such as NOx, SOx, and VOCs.

Establishment of a Estimation Model of On-Road and Off-Road Parking Demand Based on the Total Floor Area of Buildings (건축물 연면적에 따른 노상·노외 주차수요 산정 모형 구축)

  • Je mo Nam;Young woo Lee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.2
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    • pp.44-53
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    • 2023
  • Recently, serious parking problems are occurring due to the difficulty of securing sufficient parking space, and it may lead to other traffic or social problems. In order to solve the parking problem in areas and districts beyond a certain range, a study on-roads and off-street parking lots reflecting regional characteristics is necessary. Therefore, this study establishing a parking demand calculation model for use as a basic study in establishing on-road and off-road characteristics. In order to conduct the study, Dong-fu, Daegu Metropolitan City was divided into dongs, and parking facilities and parking demand were investigated. The survey time was divided into daytime and nighttime on weekdays, and the types of vehicles were divided into three types: passenger car, small trucks and buses, large trucks and buses. As explanatory variables for calculating parking demand, the total floor area of buildings for each of six purposes was used, including detached houses, apartment houses, neighborhood living facilities, cultural and assembly facilities, business facilities, and sales facilities. As a result of the correlation analysis, among the six explanatory variables, the total area of neighborhood living facilities showed a significant correlation with on- and off-street parking demand. A regression analysis model was constructed using the total area of neighborhood living facilities as an explanatory variable, and statistically significant results were obtained.

Contrast Media Side Effects Prediction Study using Artificial Intelligence Technique (인공지능 기법을 이용한 조영제 부작용 예측 연구)

  • Sang-Hyun Kim
    • Journal of the Korean Society of Radiology
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    • v.17 no.3
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    • pp.423-431
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    • 2023
  • The purpose of this study is to analyze the factors affecting the classification of the severity of contrast media side effects based on the patient's body information using artificial intelligence techniques to be used as basic data to reduce the degree of contrast medium side effects. The data used in this study were 606 examiners who had no contrast medium side effects in the past history survey among 1,235 cases of contrast medium side effects among 58,000 CT scans performed at a general hospital in Seoul. The total data is 606, of which 70% was used as a training set and the remaining 30% was used as a test set for validation. Age, BMI(Body Mass Index), GFR(Glomerular Filtration Rate), BUN(Blood Urea Nitrogen), GGT(Gamma Glutamyl Transgerase), AST(Aspartate Amino Transferase,), and ALT(Alanine Amiono Transferase) features were used as independent variables, and contrast media severity was used as a target variable. AUC(Area under curve), CA(Classification Accuracy), F1, Precision, and Recall were identified through AdaBoost, Tree, Neural network, SVM, and Random foest algorithm. AdaBoost and Random Forest show the highest evaluation index in the classification prediction algorithm. The largest factors in the predictions of all models were GFR, BMI, and GGT. It was found that the difference in the amount of contrast media injected according to renal filtration function and obesity, and the presence or absence of metabolic syndrome affected the severity of contrast medium side effects.

Comparing the Service Coverages of Subways and Buses and Estimating the Walking Distances of Their Users (지하철과 버스의 서비스권역 비교 및 이용자들의 도보거리 추정 - 부산시를 중심으로 -)

  • Kim, Kyung Whan;Lee, Deok Hwan;Choi, Jong Moon;Oh, Il Sung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.6D
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    • pp.541-552
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    • 2010
  • The light rail transit (LRT) having bus lines as subsystem is being constructed or planned in the suburban area of metropolitans and medium size cities. However, there is difficulty in establishing the service coverage (SC) of the LRT because the LRT is a completely new transit mode in Korea. The purpose of this study is to provide the basic data and techniques to be used for establishing the SC of the future LRT by understanding the SC characteristics of buses and subways and building models to estimate the walking distances of their users. Busan City is selected as the study city and the SC's of buses and subways are surveyed simultaneously. A total of 9 variables for 82 stations are collected and the cluster analysis is conducted about the variables. The station areas are divided to three types of CBD (Central Business District), sub-CBD and regional center based on the analysis. A station in each area is selected as the study station. At the walking distance (WD) analysis for each mode, the 80 percentile WD of the subway is 672 m and that of the bus is 472 m. In comparing the SC's of both modes by the type of station areas, there are not significant differences between the SC's of sub-CBD and regional center except CBD. At analysis of the relationship between the personal attributes and the WD, for subway users the WD of female is longer than that of male and apartment residents use subway more positively than single house residents do. For the models to estimate the walking distances, the simple regression models were built employing the income as independent variable by dividing the stations into CBD abd non-CBD stations.

A Study on the Effects of SNS Tourism Value and Social Capital on SNS Tourism Satisfaction and Reuse Intention : Focusing on Moderating Effect of Future-Oriented Time Perspective (SNS 관광 가치와 사회적 자본이 만족도와 재이용의도에 미치는 영향 연구: 미래지향적 시간관의 조절효과)

  • Kim, Dae Seok;Ko, Yeong Kong;Seo, Young Wook
    • The Journal of the Korea Contents Association
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    • v.22 no.8
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    • pp.258-273
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    • 2022
  • This study examines the effect of SNS tourism value (economic, social) and social capital (bonding, bridging) on SNS tourism satisfaction using SNS and the effect of SNS tourism satisfaction on reuse intention. In addition, in the relationship between SNS tourism satisfaction and reuse intention, a future-oriented time perspective variable was applied to investigate the moderating effect. We verified 326 people who had accommodation tourism experience using SNS. SPSS 25.0 and Smart PLS 3.0 were used to analyze reliability and validity. The study results are as follows. First, economic and social values had a positive effect on satisfaction. Second, it was found that bridging social capital had a positive effect on satisfaction, but bonding social capital had no effect. Third, satisfaction was confirmed to have a positive effect on reuse intention. Fourth, in the relationship between satisfaction and reuse intention, the future-oriented time perspective was found to have a significant moderating effect. The overall implications are presented through the research results, and it is expected that these will be used as basic data for the development plan of the tourism industry.

Effects of Time Pressure and Induced-Anger on Driving Performance: A Simulation Study (시간압력 스트레스와 유도된 분노가 운전 수행에 미치는 영향: 운전 시뮬레이션 연구)

  • Woo-Il Sung;Jaesik Lee
    • Korean Journal of Culture and Social Issue
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    • v.15 no.4
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    • pp.547-563
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    • 2009
  • This study was conducted to examine the stress effects of time pressure and induced driver-anger on driving performance. The participants in the four different stress conditions(i.e., control condition, time pressure, induced anger, and mixed condition where induced-anger and time pressure were combined) were asked to drive the driving simulator, and their driving performances(i. e., lane crossing, signal violation, speeding, and deviation form designated path) were measured as the dependent variable. The results can be summarized as followings. (1) Induced-anger alone and the mixed driver stresses tended to yield deteriorated driving performances as well as awareness for designated path, (2) Time pressure alone appeared to have only limited effect both on the driving and path awareness. And (3) the effects of induced-anger alone and the mixed condition on driving performance and path awareness did not show ant significant difference. The results of the present study indicated that drivers' basic vehicle control and keeping awareness to destination could be affected differently by the types of driver stress.

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Variance of Agronomical Quantitative Traits in Mung Bean (Vigna radiata (L.) R. Wilczek var. radiata) Germplasm

  • Hyemyeong Yoon;Yu-Mi Choi;Kebede Taye Desta;Sukyeung Lee;Myong-Jae Shin;Xiaohan Wang;Joungyun Yi;Young-ah Jeon
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2023.04a
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    • pp.31-31
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    • 2023
  • Mung bean(Vigna radiata (L.) R. Wilczek var. radiata) is a legume that originated in India. It is the third most cultivated legume in Korea after soybean and adzuki bean. Recently, the use of mung bean seeds and sprouts in trendy foods such as rice noodles and Chinese-style stir-fry is expanding thereby increasing its demand. Subsequently, improvement of mung bean varieties is also being actively conducted. In this study, the important agricultural characteristics of 324 mung bean germplasm were recorded and statistically investigated. Seeds of the mung bean germplasm were cultivated at an experimental field located in the National Agrobiodiversity Center (Jeonju, Korea) and 10 quantitative agricultural traits were investigated. Basic statistics, correlation analysis, and principal component analysis were then performed. The results showed significant variations of the quantitative traits among the germplasms (p < 0.05). The days to flowering, maturity, and growth were in the ranges of 31~80, 22~72, and 57~110 days with means of 45, 47, and 92 days, respectively. The highest frequency (f = 192) was for lodging score with 11~50%, while simultaneous maturity (f = 182) was below 50%. Other quantitative traits related to yield including the number of seeds per pod (CV = 10.9%), number of pods per plant (CV = 41.2%), and one-hundred seeds weight (CV = 36.6%) also showed significant variations. Correlation analysis showed positive correlations between the days to maturity and one-hundred seeds weight (r = 0.41) and the days to growth and simultaneous maturity (r = 0.39). In contrast, one-hundred seeds weight was negatively correlated to the number of pods per plant (r = -0.41) and the days to flowering (r = -0.29). Similarly, the days to growth and the number of pods per plant had a negative association with each other (r = -0.29). The principal component analysis revealed the number of days to maturity as the most influential variable along the first principal component (23.7%). In general, this study revealed wide variations in quantitative traits among the studied mung bean germplasm, which could provide several options for cultivar development.

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Analysis-based Pedestrian Traffic Incident Analysis Based on Logistic Regression (로지스틱 회귀분석 기반 노인 보행자 교통사고 요인 분석)

  • Siwon Kim;Jeongwon Gil;Jaekyung Kwon;Jae seong Hwang;Choul ki Lee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.2
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    • pp.15-31
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    • 2024
  • The characteristics of elderly traffic accidents were identified by reflecting the situation of the elderly population in Korea, which is entering an ultra-aging society, and the relationship between independent and dependent variables was analyzed by classifying traffic accidents of serious or higher and traffic accidents of minor or lower in elderly pedestrian traffic accidents using binomial variables. Data collection, processing, and variable selection were performed by acquiring data from the elderly pedestrian traffic accident analysis system (TAAS) for the past 10 years (from 13 to 22 years), and basic statistics and analysis by accident factors were performed. A total of 15 influencing variables were derived by applying the logistic regression model, and the influencing variables that have the greatest influence on the probability of a traffic accident involving severe or higher elderly pedestrians were derived. After that, statistical tests were performed to analyze the suitability of the logistic model, and a method for predicting the probability of a traffic accident according to the construction of a prediction model was presented.

A study on the relationship between college students' self-differentiation and marriage outlook (대학생의 자아분화와 결혼관의 관계연구)

  • Ri-a Lee;Won-Sun Lim
    • Industry Promotion Research
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    • v.9 no.1
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    • pp.179-187
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    • 2024
  • This study aims to develop policies and programs to improve self-differentiation that will have an impact on establishing a positive view of marriage among college students by examining and confirming the impact of college students' self-differentiation on their views on marriage among college students in early adulthood. This is an attempted research study. For this purpose, a self-report online survey was conducted and analyzed among 204 college students attending a university in northern Gyeonggi Province. The analysis method used SPSS 25.0 program to calculate internal consistency, frequency analysis to identify the general characteristics of the research subject, descriptive statistical analysis to determine the level of the research variable, and differences in research variables according to the characteristics of the research subject. To find out, an independent samples t-test, analysis of variance, and post hoc test were conducted, and analysis using SPSS Process Macro was conducted to verify the mediation effect. The results of the analysis showed a positive (+) correlation between self-differentiation and views on marriage, which suggests that self-differentiation has a significant impact on establishing a positive view on marriage, and for this purpose, it is necessary to establish a positive view on marriage among college students. To this end, we aimed to provide basic data to support education for healthy families through national policy.