• Title/Summary/Keyword: MONTHLY

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A Study on The Risk on the Non-payment of Monthly Rent of Seoul Office Market in the Framework of Asymmetric Information (정보비대칭 관점에서 서울 오피스 시장의 월세미납리스크에 관한 연구)

  • Kim, Sung-Nam;Choi, Young-Sang;Koh, Sung-Soo
    • The Journal of the Korea Contents Association
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    • v.15 no.7
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    • pp.531-543
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    • 2015
  • Benjamin, Lusht, and Shilling(1998) suggested that the level of deposit can be used as a tool to resolve the problem of adverse selection by the leaseholder under the circumstance of information asymmetry. In this respect, this research aims to verify how the level of deposit and monthly rent mitigate the problem of information asymmetry existing in the office market in Seoul. So far, the analysis of the office market in Seoul has been difficult due to the fixed rate of deposit and monthly rent. This research attempts to adopt the concept of occupancy cost, a global standard indicator that would replace the default risk of monthly payment for analyzing the market. As a result of a series of empirical analysis, the lessors tend to add about 9 percent of risk premium to the occupancy cost to hedge against the default risk of monthly payment. It allows for estimating at what extent one should reflect the leaseholder's default risk of monthly payment for operating deposit and monthly rent in the office building lease market.

A Study on the Analysis of the Relationship between Sea Surface Temperature and Monthly Rainfall (해수면온도와 우리나라 월강우량과의 관계분석에 관한 연구)

  • Oh, Tae-Suk;Moon, Young-Il
    • Journal of Korea Water Resources Association
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    • v.43 no.5
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    • pp.471-482
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    • 2010
  • Rainfall events in the hydrologic circulation are closely related with various meteorological factors. Therefore, in this research, correlation relationship was analyzed between sea surface temperature of typical meteorological factor and monthly rainfall on Korean peninsula. The cluster analysis was performed monthly average rainfall data, longitude and latitude observed by rainfall observatory in Korea. Results from cluster analysis using monthly rainfall data in South Korea were divided into 4 regions. The principal components of monthly rainfall data were extracted from rainfall stations separated cluster regions. A correlation analysis was performed with extracted principal components and sea surface temperatures. At the results of correlation analysis, positive correlation coefficients were larger than negative correlation coefficients. In addition, The 3 month of principal components on monthly rainfall predicted by locally weighted polynomial regression using observed data of sea surface temperature where biggest correlation coefficients have. The result of forecasting through the locally weighted polynomial regression was revealed differences in accuracy. But, this methods in the research can be analyzed for forecasting about monthly rainfall data. Therefore, continuous research need through hydrological meteorological factors like a sea surface temperature about forecasting of the rainfall events.

Development of Operating Guidelines of a Multi-reservoir System Using an Artificial Neural Network Model (인공 신경망 모형을 활용한 저수지 군의 연계운영 기준 수립)

  • Na, Mi-Suk;Kim, Jae-Hee;Kim, Sheung-Kown
    • IE interfaces
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    • v.23 no.4
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    • pp.311-318
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    • 2010
  • In the daily multi-reservoir operating problem, monthly storage targets can be used as principal operational guidelines. In this study, we tested the use of a simple back-propagation Artificial Neural Network (ANN) model to derive monthly storage guideline for daily Coordinated Multi-reservoir Operating Model (CoMOM) of the Han-River basin. This approach is based on the belief that the optimum solution of the daily CoMOM has a good performance, and the ANN model trained with the results of daily CoMOM would produce effective monthly operating guidelines. The optimum results of daily CoMOM is used as the training set for the back-propagation ANN model, which is designed to derive monthly reservoir storage targets in the basin. For the input patterns of the ANN model, we adopted the ratios of initial storage of each dam to the storage of Paldang dam, ratios of monthly expected inflow of each dam to the total inflow of the whole basin, ratios of monthly demand at each dam to the total demand of the whole basin, ratio of total storage of the whole basin to the active storage of Paldang dam, and the ratio of total inflow of the whole basin to the active storage of the whole basin. And the output pattern of ANN model is the optimal final storages that are generated by the daily CoMOM. Then, we analyzed the performance of the ANN model by using a real-time simulation procedure for the multi-reservoir system of the Han-river basin, assuming that historical inflows from October 1st, 2004 to June 30th, 2007 (except July, August, September) were occurred. The simulation results showed that by utilizing the monthly storage target provided by the ANN model, we could reduce the spillages, increase hydropower generation, and secure more water at the end of the planning horizon compared to the historical records.

Correlation Analysis between Monthly Precipitation in Korea and Global Sea Surface Temperature (우리나라의 월강수량과 범지구적 해수면온도의 상관성 분석)

  • Oh, Tae Suk;Moon, Young-Il
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.2B
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    • pp.237-248
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    • 2008
  • Precipitation variability in Korea is mainly influenced by climate circulation such as sea surface temperature, not a local convection. Therefore, this study investigates relationship between monthly precipitation of 61 station observed by Korea Meteorological Administration and global sea surface temperatures (SSTs). The main components of monthly precipitation in Korea are extracted by a method which consists of the principal analysis combined with the cluster analysis, to examine the correlation between monthly rainfalls and SSTs. The relationships between main components of monthly precipitation and SSTs exists in Pacific Ocean. At the result of Wavelet Transform analysis, The 2-4 year band have a strong wavelet power spectrum and the low frequency. the correlation coefficient between low frequency components of monthly rainfalls and SSTs calculated bigger then correlation coefficient between main components and SSTs. Hence, these results propose a prediction possibility of monthly precipitations using the varition of SSTs.

Comparison of the Demographic Characteristics in Private Health Insurance (민간의료보험가입자의 사회 인구학적 특성 비교)

  • Kim, Yun-Jin;Cho, Duk-Young;Yi, Yu-Hyeon
    • The Korean Journal of Health Service Management
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    • v.7 no.4
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    • pp.143-151
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    • 2013
  • The purpose of this study was to analyze the socio-economic factors, the factors affecting the private insurance, utilizing Korea National Health & Nutrition Examination Survey 2011. Findings of the study can be summarized as follows. First, participants with private insurance are young, high monthly income, low prevalence of chronic illness. Second, participants with private insurance and chronic illness were young and high monthly income. Third, Average monthly household income, the higher the age is younger. Private insurance and national health insurance was higher subscription rate. Consequently, participants with private insurance and uninsured of the major differences is the age and the average monthly income. Elderly, low income are needed health promotion and disease prevention for expanded medicare, welfare policies.

Long-term Monthly Variations of Tide in Pusan Harbour (부산항 조석의 장기 월별 변동 특성)

  • 김종규;강태순
    • Journal of Ocean Engineering and Technology
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    • v.16 no.2
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    • pp.6-9
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    • 2002
  • The long-term monthly variations of tide with tidal harmonic analysis in Pusan Harbour are investigated. The present spring tidal range decreased 1.4 cm and the variation of phase lag increased than 1974. The high and low water level of yearly mean sea level is show during the February to March and August to September, respectively. It is important to note that the larger lunar elliptic N2 is large in comparison with lunisolar diurnal K1 and principal lunar diurnal O1. The ratios (Correction Factors) of monthly mean sea level and the main 4 tidal constituents are evaluated to correct the shortly (monthly) observed tide for the design of harbour facilities.

Stochastic Forecasting of Monthly River Flwos by Multiplicative ARIMA Model (Multiplicative ARIMA 모형에 의한 월유량의 추계학적 모의 예측)

  • 박무종;윤용남
    • Water for future
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    • v.22 no.3
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    • pp.331-339
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    • 1989
  • The monthly flows with periodicity and trend were forecasted by multiplicative ARIMA model and then the applicability of the model was tested based on 23 years of the historical monthly flow data at Jindong river stage gauging station in the Nakdong River Basin. The parameter estimation was made with 21 years of data and the remaining two years of monthly data were used to compare the forecasted flows by ARIMA (2,0,0)$\times$$(0,1,1)_{12}$ with the observed. The results of forecast showed a good agreement with the observed, implying the applicability of multiplicative ARIMA model for forecasting monthly river flows at the Jindong site.

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Estimation of Spatial Evapotranspiration using the Relationship between MODIS NDVI and Morton ET - For Chungjudam Watershed - (MODIS NDVI와 Morton 증발산량의 관계를 이용한 공간증발산량 산정 기법 연구 - 충주댐유역을 대상으로 -)

  • Shin, Hyung-Jin;Ha, Rim;Park, Min-Ji;Kim, Seong-Joon
    • Journal of The Korean Society of Agricultural Engineers
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    • v.52 no.1
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    • pp.19-24
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    • 2010
  • The purpose of this study is to estimate monthly Morton evapotranspiration (ET) using normalized difference vegetation index (NDVI) from MODIS satellite images. Morton ET for land surface conditions was evaluated by using daily meteorological data, and the monthly averaged Morton ETs for each land cover were compared with the monthly NDVIs of three years (2000-2002) at Chungjudam Watershed. There was a high correlation between monthly NDVI and Morton ET for the watershed with average coefficient of determination, 0.80. By comparing the MODIS NDVI ET with SLURP Morton ET, the SLURP ET was smaller than the MODIS NDVI ET. This was estimated from the consideration of soil moisture condition for the ET occurrence in the SLURP model, the limited information from the monthly NDVI values, and the errors from the derived regression equations.