• The Transactions of the Korean Institute of Power Electronics
• /
• v.20 no.1
• /
• pp.51-58
• /
• 2015

In order to decrease the size of a switch mode power supply, high switching frequency can be an efficient way to reduce the size of passive components in the converter. In this paper, a 500-kHz high-frequency LLC resonant converter is proposed with an accurate design method of magnetizing inductance, as well as the relationship between the switching frequency and the size of the passive components. Simulation and experimental results are presented to verify the proposed methods and equations, including the temperature data of each passive and active device of the converter. Using those results, dominant power losses in the prototype converter under 500-kHz high-frequency operation are investigated, compared with the results from a 100-kHz converter. In addition, operating waveforms and power conversion efficiency will be shown to obtain design considerations for the high switching frequency LLC resonant converter.

• Geophysics and Geophysical Exploration
• /
• v.3 no.1
• /
• pp.19-24
• /
• 2000

Seismic reflection data was obtained by using 28 and 100 Hz geophones at the ground subsidence sites in an old coal mine area. Frequency spectrum of the geophone analyzed with offset revealed that 1) In the near offset ($1\~10m$), the signals in the 100 Hz geophone data contains higher frequency components (up to 300 Hz) than that of the 28 Hz (<200 Hz), 2) In the intermediate offset ($11\~39m$), although the 28 Hz geophone data showed very similar frequency characteristics as the near offset data, the 100Hz geophone data seemed to be contaminated by noise at high frequency zone (>200 Hz). In the far offset ($\geq40\;m$), the signals in both the 28 and 100 Hz geophone data are attenuated to noise level at high frequency Bone more than 150 Hz.

• The Korean Journal of Applied Statistics
• /
• v.30 no.5
• /
• pp.747-757
• /
• 2017

We investigate multivariate volatilities based on high frequency time series. The PCA (principal component analysis) method is employed to achieve a dimension reduction in multivariate volatility. Multivariate realized volatilities (RV) with various frequencies are calculated from high frequency data and "optimum" frequency is suggested using PCA. Specifically, RVs with various frequencies are compared with existing daily volatilities such as Cholesky, EWMA and BEKK after dimension reduction via PCA. An analysis of high frequency stock prices of KOSPI, Samsung Electronics and Hyundai motor company is illustrated.

• Journal of Information Technology Applications and Management
• /
• v.9 no.4
• /
• pp.127-149
• /
• 2002

Online consumers were classified four groups by online buying frequency and shopping mall loyalty in this study; high frequency-high loyalty, high frequency-low loyalty, low frequency-high loyalty, and low frequency-low loyalty groups. Four groups were compared by Internet usage, flow experience, innovativeness, perceived risks of Internet shopping, Internet shopping behaviors, and demographics. Through an online survey of 396 Internet shoppers, there found significant differences of those variables among four groups. The implications for customer relationship management of Internet shopping mall are discussed and further researches are suggested.

• Journal of Electrical Engineering and Technology
• /
• v.5 no.1
• /
• pp.28-35
• /
• 2010

This paper presents new Adaptive Linear Combination Structure (ADALINE) for tracking/estimating voltage-current phasor and frequency of power system. To estimate the phasors and frequency from sampled data, the algorithm assumes that orthogonal coefficients and speed of angular frequency of power system are unknown parameters. With adequate sampled data, the estimation problem can be considered as a linear weighted least squares (LMS) problem. In addition to determining the phasors (orthogonal coefficients), the procedure estimates the power system frequency. The main algorithm is verified through a computer simulation and data from field. The proposed algorithm is tested with transient and dynamic behaviors during power swing, a step change of frequency upon islanding of small generators and disconnection of load. The algorithm shows a very high accuracy, robustness, fast response time and adaptive performance over a wide range of frequency, from 10 to 2000 Hz.

• Journal of Korean Society on Water Environment
• /
• v.34 no.6
• /
• pp.579-590
• /
• 2018

The lakes' metabolism bears important information for the assessment of the carbon budget due to the accumulation or loss of carbon in the lake as well as the dynamics of the food webs through primary production. A lake-scale metabolism is evaluated by Gross Primary Production (GPP), Ecosystem Respiration (R), and Net Ecosystem Production (NEP), which is the difference between the first two values. Methods for estimating GPP and R are based on the levels carbon and oxygen. Estimation of carbon is expensive because of the use of radioactive materials which requires a high degree of proficiency. The purpose of this study was to estimate Lake Daecheong ecosystem metabolism using high frequency water temperature data and DO measurement sensor, widely utilized in the field of water quality monitoring, and to evaluate the possibility of using the application method. High frequency data was collected at intervals of 10 minutes from September to December 2017 by installing a thermistor chain and a DO sensor in downstream of Daechung Dam. The data was then used to estimate GPP, R and NEP using the R public program LakeMetabolizer, and other metabolism models (mle, ols, kalman, bookkeep). Calculations of gas exchange coefficient methods (cole, crusius, heiskanen, macIntyre, read, soloviev, vachon) were compared. According to the result, Lake Daecheong has some deviation based on the application method, but it was generally estimated that the NEP value is negative and acts as a source of atmospheric carbon in a heterotrophic system. Although the high frequency sensor data used in this study had negative and positive GPP and R values during the physical mixing process, they can be used to monitor real-time metabolic changes in the ecosystem if these problems are solved.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.22 no.5
• /
• pp.716-723
• /
• 2019

It is crucial to understand the characteristics of cloud occurrence frequency for development of high precision guided missile using infrared imaging sensor. In this paper, we investigated the vertical structure of cloud for altitude using upper-air observation data. We find that cloud occurrence frequency is high at altitudes of 1.3 km and 9.5 km. Theses features have seasonal and temporal dependency. In the summer, cloud often occur more than average regardless of altitude. In the winter, low clouds occur frequently, and high clouds do not occur well. In temporal characteristics, clouds occur more frequently in daytime than in nighttime regardless of altitude. Many of clouds exist in single layer or double layers in the air. We also find that the 40 % of cloud occurrence frequency at high altitude when low clouds under altitude of 2 km cover entire sky.

• Journal of Korean Academy of Nursing
• /
• v.14 no.1
• /
• pp.1-20
• /
• 1984

This study was attempted to evaluate and explain the correlation between stress and utilization of Dispensary, Frequency of absence, Frequency of accident as the health condition of bluecollared workers. The subjects for this study were 260 workers selected conveniently from 360 workers working at one chemical manufacturer located in Seoul. The dataas measure the Stress was collected through SRRS (The Social Readjustment Rating Scale) which is developed by Holmes ＆ Rahe (1976) from 27th July to 10th August, 1983. The data of Utilization of Dispensary and Frequency of Accident were brought out from the record of Dispensary during past 8 months. The Frequency of Abscence from January to August were collected through diligence and indolence cards of each department. All collected data were analysed based on the SPSS (Statistical Package for the Social Science) program. The results of the study are as follows: 1. The average of Utilization of Dispensary was 7.4, Frequency of abscence 14.6, frequency of Accident 0.4. 2. The average score of Stress was 134 (minimum : 0, maximum : 593, Standard deviation : 109. 3) It can be considered as a slight stressed group by the requlations of Holmes and Rahe. 3. According to the analysed results of correlation between Stress and the Utilization of Dispensary, Frequency of Absence, frequency of Accident, the Utilization of dispensary and stress were significantly related (r= .1955, p<.001), the Frequency of Absence (r=.0284, p >, 05), and the Frequency of Absence (r=.0284, p>.05), and the Frequency of Accident (r= .0831, p>.05) were not significantly related with Stress. 4. In the relation between general characters of subjects and the Utilization of Dispensary, 20 to 25 aged group, women, single, christian, lent-house dwelling, 1 to 5 years employed group used at a high ratio. 5. In the relation between general character of subjects and the Frequency of Absence, men, 51 to 55 aged group, 21 to 25 years employed group indicated high Frequency, and other char-noters were not significantly related. 6. In the relation between general characters of subjects and the Frequency of Accident, women. single, 20 to 25 aged group, catholic, lent-house dwelling, below 1 year employed group showed high frequency. 7. Stress showed a significant difference only with a religion. Catholic group represented mode-rate stressed scored 209.67, and not significantly related with other general characters.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.9 no.5
• /
• pp.87-92
• /
• 2009

It has been considered only with the concerned regional damage costs whenever the restoration and flood control measures were established in Korea. If the relationship between regional flood frequency and damages is quantitatively analyzed, more resonable and reliable countermeasure for flood protection and restoration can be proposed. Historical data ('70~'07) about flood damage in Korea were utilized and analyzed to present such relationship using the point frequency analysis. Also, the quadrant analysis was employed to divide into 4 categories: high frequency-high damage, high frequency-low damage, low frequency-high damage, and low frequency-low damage. If the results from this study were utilized well in specific cities and counties in Korea, it would be helpful to establish the countermeasures and action plans for flood protection because it was possible to compare with the relationship between flood frequency and damage of each region. And it would be the fundamental data for estimating the effect of future flood protection plan.

• Proceedings of the KIEE Conference
• /
• 2003.10a
• /
• pp.279-282
• /
• 2003

In this paper, we propose a new high resolution frequency estimator for real sinusoids by using short time data and the AWLS/MFT (Adaptive Weighted Least Squares/ Modulation Function Technique) algorithm. Monte-Carlo simulations verify better performances of the proposed frequency estimator and demonstrate that the proposed AWLS sinusoidal estimator is a high resolution estimator.