• 환경영향평가
• /
• 제6권2호
• /
• pp.81-92
• /
• 1997

This paper presents the results from the comparison analysis and evaluation between the air pollutant dispersion modeling results and the observation data in the area within a 10 km radius from the Boryong thermal power plants. The observation data used in this study were the air pollutant concentrations which had been continuously measured from 8 locations around the Boryong power plants by TMS(tele-monitoring system) for 3 months from September to November, 1996. The short-term and long-term predictions were carried out using ISC3 model and LPDM(Lagrangian Panicle Dispersion Model). The results of ISC3 modeling in a short-term showed highly as 0.7 in a correlation coefficient, but in a long-term showed just 0.54. On the other hand, LPDM showed 0.78 in a correlation coefficient for a long-term, but in a short-term showed highly value than the observation concentrations.

• 한국농공학회논문집
• /
• 제46권5호
• /
• pp.41-52
• /
• 2004

In this study, parameters of long and short term runoff model were optimized using genetic algorithm as a basic research for integrated water management in a watershed. In case of Korea where drought and flood occurr frequently, the integrated water management is necessary to minimize possible damage of drought and flood. Modified TANK model was optimized as a long term runoff model and storage-function model was optimized as a short term runoff model. Besides distinguished parameters were applied to modified TANK model for supplementing defect that the model estimates less runoff in the storm period. As a result of application, simulated long and short term runoff results showed 7% and 5% improvement compared with before optimized on the average. In case of modified TANK model using distinguished parameters, the simulated runoff after optimized showed more interrelationship than before optimized. Therefore, modified TANK model can be applied for the long term water balance as an integrated water management in a watershed. In case of storage-function model, simulated runoff in the storm period showed high interrelationship with observed one. These optimized models can be applied for the runoff analysis of watershed.

• 한국환경과학회지
• /
• 제26권2호
• /
• pp.221-230
• /
• 2017

To determine the effect of air pollution reduction policies, the long-term trend of air pollutants should be analyzed. Kolmogorov-Zurbenko (KZ) filter is a low-pass filter, produced through repeated iterations of a moving average to separate each variable into its temporal components. The moving average for a KZ(m, p) filter is calculated by a filter with window length m and p iterations. The output of the first pass subsequently becomes the input for the next pass. Adjusting the window length and the number of iterations makes it possible to control the filtering of different scales of motion. To break down the daily mean $PM_{10}$ into individual time components, we assume that the original time series comprises of a long-term trend, seasonal variation, and a short-term component. The short-term component is attributable to weather and short-term fluctuations in precursor emissions, while the seasonal component is a result of changes in the solar angle. The long-term trend results from changes in overall emissions, pollutant transport, climate, policy and/or economics. The long-term trend of the daily mean $PM_{10}$ decreased sharply from $59.6ug/m^3$ in 2002 to $44.6ug/m^3$ in 2015. This suggests that there was a long-term downward trend since 2005. The difference between the unadjusted and meteorologically adjusted long-term $PM_{10}$ is small. Therefore, we can conclude that $PM_{10}$ is unaffected by the meteorological variables (total insolation, daily mean temperature, daily mean relative humidity, daily mean wind speed, and daily mean local atmospheric pressure) in Busan.

• Journal of Korea Trade
• /
• 제25권2호
• /
• pp.46-57
• /
• 2021

Purpose - In terms of human resource management, many Korean enterprises in China have experienced problems such as frequent resignations of Chinese employees and labor disputes. This can be mainly attributed to the fact that Chinese employees are not consistent with Korean vertical management methods, which is closely related to the national culture theory proposed by Hofstede, specifically the dimension of power distance and long- versus short-term orientation (LTO). Therefore, this research aims to investigate cultural differences between Korea and China from these two dimensions, and the impact on the human resource management of Korean-invested enterprises in China. Design/methodology - This research first utilizes the latest data (Wave 7) of the World Values Survey (WVS) to verify the difference in power distance and long- versus short-term orientation between Korean and Chinese cultures using responses from Korea and China, and then uses case analysis to analyze the impact of this cultural difference on the human resource management of Korean enterprises in China. Findings - Our main findings can be summarized as follows. Korea and China have significant differences in power distance and long- versus short-term orientation. In terms of power distance, Korean respondents show higher power distance compared to Chinese respondents. In the dimension of long- versus short-term orientation, it was found that Chinese respondents showed a shorter-term orientation, whereas Korean respondents showed a longer-term orientation. Originality/value - Previous studies put focus on the power distance and individualism-collectivism dimensions to explain cultural differences between Korea and China, and generated contradictory results. This research further confirms the cultural differences between Korea and China from the dimensions of power distance and long-versus short-term orientation using secondary data. The comparative studies from this perspective have long been underexplored and lack empirical confirmation.

• 한국전산구조공학회논문집
• /
• 제30권4호
• /
• pp.343-350
• /
• 2017

RC 플랫 플레이트 시스템은 공기단축, 시공성 향상, 층고 절감 등의 장점이 있으나, 장스팬 적용 시 슬래브의 작은 휨강성으로 인해 균열 손상 및 과다 처짐이 발생하는 경향이 있다. 특히, 시공 중 슬래브 자중에 의한 과하중의 작용이 슬래브의 장단기 처짐을 증가시킬 수 있다. 이러한 문제점은 자중 저감이라는 장점을 갖고 있는 중공 슬래의 사용을 통해 해결할 수 있다. 이 연구에서는 슬래브 처짐에 대한 중공 슬래브의 자중저감 효과를 분석하기 위하여 변수연구를 수행한다. 콘크리트 강도, 슬래브 시공주기, 동바리 지지층수, 압축철근비, 인장철근비 등의 변수조건들을 포함하여, 시공단계, 콘크리트 균열, 장기 효과를 고려한 시공하중 및 처짐을 산정한다. 일반 슬래브와 중공 슬래브에 대한 시공 중 단기처짐과 완공 후 장기처짐을 비교하고, 슬래브 처짐에 대한 중공 슬래브의 효과를 분석한다.

• 대한간호학회지
• /
• 제30권1호
• /
• pp.29-38
• /
• 2000

To determine whether personal history of lactation in premenopausal women influence bone mineral density, a cross-sectional study was conducted. One hundred eighty-four premenopausal women were selected from women who had been checked for bone mineral density by dual energy x-ray absortiometry in lumbar spine, femoral neck, Ward's triangle, and trochanteric site at general hospitals in Seoul and Pusan. They completed a questionnaire including life style factors and reproductive history. In the data analysis, Pearson correlation coefficients were used to test any association between individual variables and bone mineral density and a statistical comparisons between long term lactation(>24 months) and short term lactation(<24 months) were made by one way analysis of covariance. The results were summarized as follows: 1) There was no significant difference in the bone mineral density of the lumbar vertebrae in premenopausal women between the long term lactation group(>24months) and the short term lactation group(<24months). 2) There was no significant difference in the bone mineral density of the femur neck, Ward's triangle, and trochanteric site in premenopausal women between the long term lactation group (>24months) and the short term lactation group (<24months). Considering these results, we suggest prospective studies that measure bone mineral density before and after, in addition to those during lactation. We also suggest the further study with premenopausal women less than 35 who have achieved peak adult bone mass.

• 한국환경과학회지
• /
• 제28권10호
• /
• pp.863-872
• /
• 2019

Using the Standard Precipitation Index (SPI), this study analyzed the drought characteristics of ten weather stations in Gyeongbuk, South Korea, that precipitation data over a period of 30 years. For the number of months that had a SPI of -1.0 or less, the drought occurrence index was calculated and a maximum shortage months, resilience and vulnerability in each weather station were analyzed. According to the analysis, in terms of vulnerability, the weather stations with acute short-term drought were Andong, Bonghwa, Moongyeong, and Gumi. The weather stations with acute medium-term drought were Daegu and Uljin. Finally the weather stations with acute long-term drought were Pohang, Youngdeok, and Youngju. In terms of severe drought frequency, the stations with relatively high frequency of mid-term droughts were Andong, Bonghwa, Daegu, Uiseong, Uljin, and Youngju. Gumi station had high frequency of short-term droughts. Pohang station had severe short-term ad long-term droughts. Youngdeok had severe droughts during all the terms. Based on the analysis results, it is inferred that the size of the drought should be evaluated depending on how serious vulnerability, resilience, and drought index are. Through proper evaluation of drought, it is possible to take systematic measures for the duration of the drought.

• STI Policy Review
• /
• 제9권1호
• /
• pp.55-76
• /
• 2018

This study analyzed the effect of the government R&D subsidy program on long-term firm survival. In order to estimate the average treatment effect for the treated group, we used the survival analysis and matching method by constituting a comprehensive dataset of more than 90,000 observations. The analysis results show that the government R&D subsidy has a negative impact on long-term firm survival. In particular, not only the subsidy does not have a statistically significant effect on firm survival in the relatively short-term, the survival probability of the subsidized firms is statistically significantly lower than the non-subsidized firms after six years. These results can be seen as weakening the justification of government R&D support. There may be problems in the subsidy policy itself and the process of selection of subsidy awardees; however, the more fundamental problem is that the subsidy policy is concluded as the one-time event. Admittedly, it would be difficult for the government to precisely manage the subsidized projects over a long term period. However, in the case of a project in which short-term performance is detected, it would be necessary to provide a step-by-step support to strengthen the firm's competitiveness through further support and continuous development of performance. Of course, mid- and long-term evaluations of subsidy support policy should be performed in parallel with such phased support.

• International Journal of Computer Science & Network Security
• /
• 제23권4호
• /
• pp.166-171
• /
• 2023

The Stock price analysis is an increasing concern in a financial time series. The purpose of the study is to analyze the price parameters of date, high, low, and news feed about the stock exchange price. Long short term memory (LSTM) is a cutting-edge technology used for predicting the data based on time series. LSTM performs well in executing large sequence of data. This paper presents the Long Short Term Memory Model has used to analyze the stock price ranges of 10 days and 20 days by exponential moving average. The proposed approach gives better performance using technical indicators of stock price with an accuracy of 82.6% and cross entropy of 71%.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2011년도 춘계학술대회 논문집
• /
• pp.1282-1289
• /
• 2011

The rail passenger demand for the railroad operations required a short-term demand rather than a long-term demand. The rail passenger demand can be classified according to the purpose. First, the rail passenger demand will be use to the restructure of line planning on the current operating line. Second, the rail passenger demand will be use to the line planning on the new line and purchasing the train vehicles. The objective of study is to analyze the travel behavior of rail passenger for modeling of short-term demand forecasting. The scope of research is the passenger of KTX. The travel behavior was analyzed the daily trips, origin/destination trips for KTX passenger using the ANOVA and the clustering analysis. The results of analysis provide the directions of the short-term demand forecasting model.