• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.4
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• pp.65-75
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• 2022

This study aims to forecast of Air Passenger Demand between South Korea and North Korea using the system dynamics analysis methodology that is based on the system thinking. System dynamics is not only a tool that makes the systematic thought to a model but also a computer program-based analysis methodology that mathematically models the system varying according to time variation. This study analyzed the causal relationship based on the interrelation among variables and structured them by considering various variables that affect aviation cooperation from the perspective of Air passenger demand forecasting. In addition, based on the causal relationship between variables, this study also completed the causal loop diagram that forms a feedback loop, constructed the stock-flow diagram of Inter-Korean model using Vensim program. In this study, Air passenger demand was using by the simulation variable value into System Dynamics. This study was difficult to reflect the various variables constituting the North Korea environment, and there is a limit to the occurrence of events in North Korea.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.137-143
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• 2018

Korea's air passenger traffic has been growing steadily. In this paper, we propose a forecasting model of air passenger demand to ascertain the growth trend of air passenger transportation performance in Korea. We conducted a simulation based on System Dynamics with the demand as a dependent variable, and international oil prices, GDP and exchange rates as exogenous variables. The accuracy of the model was verified using MAPE and $R^2$, and the proposed prediction model was verified as an accurate prediction model. As a result of the demand forecast, it is predicted that the air passenger demand in Korea will continue to grow, and the share of low cost carriers will increase sharply. The addition of the Korean transportation performance of foreign carriers in Korea and the transportation performance of Korean passengers due to the alliance of airlines will provide a more accurate forecast of passenger demand.

• Economic and Environmental Geology
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• v.41 no.5
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• pp.509-516
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• 2008

For analyzing resources demand appropriately, corresponding demand data is essential. But it is hard to get the suitable data of each resource demand, because every resources has various type as refined and many kind of alloyed. That reason makes many analyses to employ the data of refined metals as the representative quantity. But those refined metals are factors for producing final goods so those in domestic market are not always meant for producing domestic end goods. Thus in this paper, the domestic demands of refined copper, lead and zinc are analyzed empirically with 'intensity of use' and foreign countries' income variable applied model for recovering the data availability.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.1-8
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• 2018

In Korea, water supply capacity and facility investments had been emphasized around the 1980s. The water pricing have gained focuses in water policy since the 1990s. This study analyzes a water demand and estimates the relation of water demand and other socio-economic variable, using econometric models on the city of Busan. Water price and income are two key elements to explain water demand. Modeling approach using translog function provides better results, and water demand responds positively to population and income. Energy and water prices are negative factors in deciding water demand. It is requested that water pricing needs to reflect more production costs. Alternative approaches such as water saving facilities by household and use of digital water information should be emphasized for efficient water management in a local community.

• Journal of Korean Society of Water and Wastewater
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• v.37 no.6
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• pp.363-373
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• 2023

Numerous studies have established a correlation between sociodemographic characteristics and water usage, identifying population as a primary independent variable in mid- to long-term demand forecasting. Recent dramatic sociodemographic changes, including urban concentration-rural depopulation, low birth rates-aging population, and the rise in single-person households, are expected to impact water demand and supply patterns. This underscores the necessity for operational and managerial changes in existing water supply systems. While sociodemographic characteristics are regularly surveyed, the conducted surveys use aggregate units that do not align with the actual system. Consequently, many water demand forecasts have been conducted at the administrative district level without adequately considering the water supply system. This study presents an upward water demand forecasting model that accurately reflects real water facilities and consumers. The model comprises three key steps. Firstly, Statistics Korea's SGIS (Statistical Geological Information System) data was reorganized at the DMA level. Secondly, DMAs were classified using the SOM (Self-Organizing Map) algorithm to consider differences in water facilities and consumer characteristics. Lastly, water demand forecasting employed the PCR (Principal Component Regression) method to address multicollinearity and overfitting issues. The performance evaluation of this model was conducted for DMAs classified as rural areas due to the insufficient number of DMAs. The estimation results indicate that the correlation coefficients exceeded 0.9, and the MAPE remained within approximately 10% for the test dataset. This method is expected to be useful for reorganization plans, such as the expansion and contraction of existing facilities.

• Fashion & Textile Research Journal
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• v.15 no.5
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• pp.694-703
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• 2013

A variable dress design can be an alternative to satisfy a consumer need for diverse expression and self-realization at a lower cost factor. In the area of wedding dress, the change in the trend of wedding culture (which tends to demand more units of wedding dress) makes the cost factor more important in the purchase selection. A variable design has a clear advantage for wedding dresses and the wedding industry. This is the first research on a variable design that focuses on wedding dresses. This research develops a variable wedding design which respects consumer preferences independent of a variable wedding dress design that presents a new shape of silhouette or the development ofa new wedding dress materials. A survey on the supply side was conducted to examine market preferences by first browsing the Naver portal site and then checking the websites of major wedding dress suppliers. A questionnaire survey was conducted with a sample of 348 brides-to-be that inquired on wedding dress selection factors and purchase patterns. The survey shows that consumers prefer mermaid and A-line silhouettes, silk material, white-ivory color, and tube top necklines. The result conforms to the types commonly found in the designs of suppliers. We apply a detachable design to a basic mermaid silhouette and implemented change for 7 kinds of styles -based on the result of the survey. We suggest a variable wedding dress design as a new means to solve the cost concern and the customer need for diverse expression. The research represents a new life style for wedding culture and facilitates the development of the wedding industry.

• International Journal of Highway Engineering
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• v.13 no.3
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• pp.83-91
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• 2011

The objective of VMS(Variable Message Sign) is to provide the traffic information downstream to drivers upstream so that they can choose their routes or expect the travel time to arrive the destination. Because there is not enough time and space to show the message, VMS message should be selected carefully. However, the message of VMS has been simply selected among the pre-designed message sets based on the priority rule of events. If the traffic demand between origin and destination is identified along the freeway, message can be selected to provide the information of a route that more drivers will use. In this study, a time sliced OD(Origin/Destination) estimation method will be developed using the detector information of the on-ramp, exit ramp, and the main lanes. And the strategy of a priority rule of message was planned.

• Journal of Korean society of Dental Hygiene
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• v.9 no.3
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• pp.319-328
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• 2009

The levels of psychosocial stresses of dental hygienist were analyzed to reveal the various factors related to them. The self-administered questionnaires were performed, to 276 dental hygienist in Daejeon City. Univariate analysis and multiple regression were performed with survey results, in which a degree of psychosocial stress was dependent variable and others were independent variable. 1. In terms of various levels of psychosocial stress according to the higher level of stress was found in the group of lower age, unmarried, and without spare times for hobby activities, the group with shorter-term job career, lower salary, and stress was found in the group who think that their job is considered as low position or their job is not high position in society or their prospect about job is discouraging, the group without regularly exercise, without regularly eating habits, in the group with higher level of job demand, lower job autonomy, and lower social support from colleagues in work than their respective counterparts. 2. Concerning correlation between psychosocial stress and various factors, while level of stress was negatively correlated with age, job career, salary, socioeconomic status of oneself, socioeconomic status of dental hygienist, future status of dental hygienist, job autonomy, social support from superiors, social support from colleagues, social support, but it was positively correlated with job demand. 3. Multiple regression revealed that the factors which influence on psychosocial stress included hobby activities, sleeping hours, job demand, which has explanatory powers of 29.9%. Therefore, to reduce of stress of dental hygienists, it is required to develop an effective strategy that institutional support for improvement of job environments and research for them be revitalized.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.6
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• pp.699-706
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• 2015

A previous adapter have a single-ouput, however, a demand of a multi-output adapter increase in the recent industrial site. In order to satisfy the demand, in this research, we implement a programmable high efficiency multi-output adapter. The basic structure of the adapter introduced in this paper is a sort of flyback. The way for producing the reference voltage of the adapter proposed is similar to the way in the general flyback implemented with TL431. In addition to the basic concept of the design, however, we introduce a digital variable resistor, AD5246BKSZ10-RL7 and a microcontroller for changing a programmable multi-output. It makes output be variable that the digital variable resistor change the reference voltage of the adapter by order of the microcontroller. The adapter output voltage is controllable in the range of 20V by the user, and the power efficiency is proven to be 85%.

• Journal of Environmental Science International
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• v.24 no.6
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• pp.743-753
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• 2015

In this study, it is an object to develop a regression model for the estimation of TOC (total organic carbon) concentration using investigated data for three years from 2010 to 2012 in the Gam Stream unit watershed, and applied in 2009 to verify the applicability of the regression model. TOC and $COD_{Mn}$ (chemical oxygen demand) were appeared to be derived the highest correlation. TOC was significantly correlated with 5 variables including BOD (biological oxygen demand), discharge, SS (suspended solids), Chl-a (chlorophyll a) and TP (total phosphorus) of p<0.01. As a result of PCA (principal component analysis) and FA (factor analysis), COD, TOC, SS, discharge, BOD and TP have been classified as a first factor. TOCe concentration was estimated using the model developed as an independent variable $BOD_5$ and $COD_{Mn}$. R squared value between TOC and measurement TOC is 0.745 and 0.822, respectively. The independent variable were added step by step while removing lower importance variable. Based on the developed optimal model, R squared value between measurement value and estimation value for TOC was 0.852. It was found that multiple independent variables might be a better the estimation of TOC concentration using the regression model equation(in a given sites).