• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.12
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• pp.132-136
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• 1994

Presented is the study on design and implementation of a fuzzy system to approximately reason using measured actual storage rate in irrigation reservoirs. To design Fuzzy reasoning systems. Minimum Operation Rule by Mamdani was applied. Fuzzy variable and membership functions are determined after identifying storage-rate affecting factor and followed simulation. Hydrological model to express actual situation within drought areal boundary is generally too complex. Hereby, considering irregularity of time-rate storage change during irrigation, this system uses irrigation water and meteorological data as a IN-data. It was abvious the results were closely corresponding to the actual data observed.

• Journal of the Korean Data and Information Science Society
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• v.15 no.1
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• pp.1-10
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• 2004

In the Korean Economically Active Population Survey(EAPS), the sample sizes for small areas are typically too small to provide reliable estimators because the EAPS has been designed to produce unemployment statistics for large areas such as Metropolitan Cities and Province. In this study, we consider the synthetic and composite estimators for the unemployment rate of small areas, and apply them to real data on Choongbook province which is from the Korean EAPS of December 2000. The mean square errors of these estimators were estimated by the Jackknife method, and the efficiencies of small area estimators were evaluated in terms of the relative standard errors and the relative root mean square errors. As a result, the composite estimator is much more efficient than other estimators and it turns out that the composite estimator can produce the reliable estimates of the unemployment rate of small areas under the current EAPS system.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.9 no.3
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• pp.410-418
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• 1998

Rain-attenuation and cross-polarization models for millimeter-wave propagation are discussed and compared with measurements in the various countries. Rain-rate conversion model which converted <$\tau$minutes rain-rate data to one minute rain-rate data, which is applicable for domestic environments are also discussed. Using the converted domestic rain-rate data, probability distributions of rain attenuation and cross-polarization discrimination are computed for various models, and the results are compared with each other.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.81-84
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• 2021

In this paper, a rate-distortion optimization (RDO) model is proposed to find the joint bit allocation of geometry data and color data based on geometry-based point cloud compression (G-PCC) of Moving Picture Experts Group (MPEG). The mechanism of the method is to construct the RD models for geometry and color data through the training process. Afterward, two rate-distortion (RD) models are integrated as well as the decision of the parameter λ to obtain the final RDO model. The experimental results show that the proposed method can decrease 20% of the geometry Bjøntegaard delta bit rate and increase 37% of the color Bjøntegaard delta bit rate compared to the MPEG G-PCC TMC13v12.0 software.

• Journal of the Korean Data and Information Science Society
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• v.20 no.4
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• pp.655-660
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• 2009

As the global economic crisis, the Korean foreign exchange market appears unstable with large fluctuations in exchange rate. Inevitably, there is growing attention on price variables such as exchange rate and interest rates and also on corelation between the factors. This is an empirical study on the causality of fluctuation between exchange rate and interest rate in the Korean market under global economic crisis. The fluctuations in won/dollar exchange rate and call rate are described and followed by analysis of lead-lag relationship between the two variables using Cross-correlation function and Granger causality test.

• East Asian Journal of Business Economics (EAJBE)
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• v.3 no.4
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• pp.9-15
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• 2015

The exchange rate is a very important macro variable that has influence on the whole economy and has, therefore, been the topic of many discussions amongst policymakers, academics and other economic agents. The issue of whether to have a fixed, pegged or floating exchange rate regime was highly debated during the 1970s. The purpose of this paper is to investigate what factors determine the exchange rate in Somalia. Quantitative research methodology has been employed to develop regression model using time series data for the period of 12 years. The regression model has been developed based on Quantity theory of money, purchasing power parity and uncovered interest rate parity theory. Somalia is on the countries where the highest exchange rate volatility exists; for example in 2012, the rate jumped 29% percent and two weak later dropped 21%, when Turkish humanitarian aid agencies injected the market a lot of U.S dollar. Based on my study using regression model for time series data of 12 years, the four factors are mainly attributable for the exchange rate volatility of Somalia; these factors include the balance of payment, inflation rate, money supply (mostly come from remittance and NGOs) and Bank profits.

• Journal of Aquaculture
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• v.15 no.2
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• pp.79-86
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• 2002

This study is the first attempt to understand the feeding physiology of a sea-urchin larva on a red-tide dinoflagellate. Fifteen day old larvae of S. intermedius capture C. polykrikoides cells by localized reversal of ciliary beats. No failure to transporte the algal cells from theciliated band to mouth and no rejection at the mouth suggest that C. polykrikoides has no feeding deterrence to S. intermedius larvae. The trend obtained for the clearance rate of S. intermedius larvae is similar to that of other sea urchin larvae. Thus, the clearance rate decreased as the algal concentration increased. Maximum clearance rate of S. intermedius on C. polykrikoides was 17.7 $\mu l$/larva/hr. Ingestion rate rapidly increased at lower algal concentrations and saturated at higher concentrations. There was no inhibition in ingestion rate at the highest prey concentration of ca. 3000 cells/ml. Maximum ingestion rate of S. intermedius on C. polykrikoides was 131 ngC/larva/d, which is higher than that reported for the larvae of the mussel Mytilus gal-lotrovincialis, but lower than that of the ciliate Strombidinopsis sp. The grazing rate, calculated by combining the field data on algal abundances with experimental data on ingestion rate, suggests that due to its low abundance, sea urchin Iarva has no significant grazing impact on C. polykrikoides population.

• The Journal of Korean Society for School & Community Health Education
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• v.14 no.2
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• pp.93-112
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• 2013

Objectives: This study was conducted to investigate the incidence rate of noise-induced hearing loss (NIHL) in Korean youths using the National Health Insurance Data Methods: We obtained the case of NIHL with the National Health Insurance Data and calculated the incidence rate of NIHL after classifying them by year (from 2005 through 2008), age, gender, birth cohort. Results: The age-adjusted incidence rate by year of NIHL per 100,000 population increased by 40.6% from 13.8 persons in 2005 to 19.4 persons in 2008, which showed a increasing trend every year. In particular, the incidence rate per 100,000 population among the adolescents (15-19 years of age) shot up by 78.2% from 8.7 persons in 2005 to 15.5 persons in 2008. According to the incidence rate by birth cohort of NIHL, the birth cohorts showed the gradually increase in incidence rate as time passed by. Adolescents in early 20s (20-24 years of age) had a higher incidence rate than teenage and men had a higher incidence rate than women. Conclusions: The results suggest that incidence rate of NIHL in Korean youths has rapidly increased among adolescents. Therefore, it is required to educate adolescents about the risk of hearing loss due to noise, establish program to prevent NIHL among adolescents and provide them with health education on hearing loss prevention.

• Journal of the Korean Society of Combustion
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• v.19 no.4
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• pp.49-55
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• 2014

Design criterion for the size of micro Pt-catalytic combustor is investigated in terms of heat release rate. One-dimensional plug flow model is applied to determine the surface reaction constants using the experimental data at stoichiometric butane-air mixture. With these reaction constants, the mass fraction of butane and heat release rate predicted by the plug flow model are in good agreement with the experimental data at the combustor exit. The relationship between the size of micro catalytic combustor and mixture flowrate is introduced in the form of product of two terms-the effect of fuel conversion efficiency, and the effect of chemical reaction rate and mass transfer rate.

• Journal of the Korean Data and Information Science Society
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• v.14 no.4
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• pp.845-852
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• 2003

Forecasting exchange rate movements is a challenging task since exchange rates impact world economy and determine value of international investments. In particular, Korean-U.S. exchange rate behavior is very important because of strong Korean and U.S. trading relationship. Neural networks models have been used for short-term prediction of exchange rate movements. Least squares support vector machine (LS-SVM) is used widely in real-world regression tasks. This paper describes the use of LS-SVM for short-term and long-term prediction of Korean-U.S. exchange rate.