• Journal of the Institute of Electronics Engineers of Korea SD
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• v.49 no.2
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• pp.47-55
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• 2012

A discrete-time(DT) filter with high-order temporal moving average(TMA) using actively-weighted charge sampling is proposed in this paper. To obtain different weight of sampled charge, the variable transconductance OTA is used prior to charge sampler, and the ratio of charge can be effectively weighted by switching the control transistors in the OTA. As a result, high-order TMA operation can be possible by actively-weighted charge sampling. In addition, the transconductance generated by the OTA is relatively accurate and stable by using the size ratio of the control transistors. The high-order TMA filter has small size, increased voltage gain, and low parasitic effects due to the small amount of switches and sampling capacitors. It is implemented in the TSMC $0.18-{\mu}m$ CMOS process by TMA-$2^2$. The simulated voltage gain is about 16.7 dB, and P1dB and IIP3 are -32.5 dBm and -23.7 dBm, respectively. DC current consumption is about 9.7 mA.

• The Journal of the Acoustical Society of Korea
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• v.19 no.6
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• pp.23-27
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• 2000

Noise can be defined as any undesired or loud sound. The sound level of mobile phone ring tones could be considered as noise if it is too loud on a specific situation. To classify a specific sound level of mobile phone ring tones as noise, it is useful to evaluate the mean opinion scores(MOS) on sound levels under some specific situations. The paper evaluates MOS on various sound levels (in dBA) of mobile phone ring tones, types of ring tone(bell/melody), and gender(male/female), location (street/office).

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.137-142
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• 2023

In This paper, we propose a determine the correlation between bat swing speed and balance ability in elementary school baseball players. This study subjects were 40 subjects. Bat swing speed was measured using a zepp2baseball, and balance ability was measured using a biorescue. For the measurement of balance ability, eyes open surface·eyes open length·eyes open average speed·eyes close surface·eyes close length·eyes close average speed were measured. pearson's correlation analysis was used to analyze the correlation between bat swing speed and balance ability. There was a significant negative correlation between bat swing speed and eyes close surface (r=-0.366, p<0.05). There was a significant negative correlation between bat swing speed and eyes close length(r=-0.348, p<0.05). There was a significant negative correlation between bat swing speed and eyes close average speed(r=-0.455, p<0.01). Among them, eyes close average speed showed the highest correlation (p<0.01). These findings suggest that improvement of the balance ability has a positive effect on bat swing speed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.2
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• pp.450-460
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• 2017

T wave is cardiac parameters that represent ventricular repolarization, it is very important to diagnose arrhythmia. Several methods for detecting T wave have been proposed, such as frequency analysis and non-linear approach. However, detection accuracy is at the lower level. This is because of the overlap of the P wave and T wave depending on the heart condition. We propose T wave detection algorithm based on target area extraction through QRS cancellation and moving average. For this purpose, we detected Q, R, S wave from noise-free ECG(electrocardiogram) signal through the preprocessing method. And then we extracted P, T target area by applying decision rule for four PAC(premature atrial contraction) pattern another arrhythmia through moving average and detected T wave using RT interval and threshold of RR interval. The performance of T wave detection is evaluated by using 48 record of MIT-BIH arrhythmia database. The achieved scores indicate the average detection rate of 95.32%.

• Journal of Korea Water Resources Association
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• v.39 no.2 s.163
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• pp.121-126
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• 2006

Snowmelt effect is identified from the analysis of the relationship between precipitation and groundwater level(GWL) data and Severe drawdown of GWL is observed in drought. Groundwater dam Operation Index (GOI), which is developed for the optimal operation of groundwater dam, is calculated by taking common logarithm of the moving average(MA) of precipitation data for a certain period. The period can vary from watershed to watershed because the period is decided by picking the maximum correlation coefficient between GWL and GOI of several MAs of precipitation. For Ssangchun watershed, the correlation was the strongest when we apply 70 day MA for GOI calculation. Snowmelt effect is considered by applying the temperature change by elevation($0.5^{\circ}C$ decrease per 100m) and examining the areal distribution of the watershed by elevation. Snow event is assumed when the daily average temperature is below $0^{\circ}C$ and snowmelt is assumed when the temperature is above zero degree Celsius. Total snowmelt is assumed for the day. When the snow event is occurred the precipitation data is separated into two components, snow and rainfall. The areal distribution by elevation is used for the calculation in the separation. The correlation between GWL and GOI is higher when we consider snowmelt effect than we neglected it.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.183-190
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• 2013

The Photoplethysmogram is a similar periodic signal that synchrinized to a heartbeat. In this paper, we propose a exponential weight moving average filter that use similarity of Photoplethysmogram. This filtering method has the average value of each samples through separating the cycle of PPG signal. If there are some motion artifacts in continuous PPG signal, disjoin the signal based on cycle. And then, we made these signals to have same cycle by coordinating the number of sample. After arrange these cycles in 2 dimension, we put the average value of each samples from starting till now. So, we can eliminate the motion artifacts without damaged PPG signal.

• Korean Journal of Environment and Ecology
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• v.15 no.2
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• pp.99-102
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• 2001

본 연구는 번식기와 비번식기에 있어서 까치의 행동변화를 파악하기 위해 강원도 춘천시 동면 감정리에 위치한 강원도 산림개발연구원 시험림 및 부근지역에서 2000년 3월부터 2001년 2월까지의 기간동안 실시되었다. 조사지 내 전체 면척은 5.6$\textrm{km}^2$였으며, 전체 지역에서 까치의 둥지는 모두 49개가 발견되었다. 이중 2000년 봄철의 번식기동안에는 24개의 둥지에서 까치가 번식을 한 것으로 나타났다. 까치의 번식밀도는 4.3쌍/$\textrm{km}^2$였으며, 둥지의 평균거리는 평균 357.5m 인 것으로 나타났다. 까치에 부착한 전파발신기에서 발신되는 전파를 추적하여 번식기와 비번식기에 둥지로부터 이동한 거리는 큰 차이를 보였다.(t-test, t= 2.98, P<0.01). 번식기에는 평균 133.5m의 거리를 둥지로부터 이동하였으며, 최대 184m 이동한 것으로 나타났다. 그 결과 세력권의 크기는 약 5.6ha인 것으로 추정되었다. 또한 비번식이에 있어서는 둥지로부터의 이동거리 평균 384.2m 였으며, 최대 457m 까지 이동하였다. 6월에서 8월 까지는 보통 2~3개체 정도가 무리를 형성하였고, 12월에 가장 많은 12개체 정도가 하나의 무리를 이루었다. 번식기에 암컷과 수컷을 행동은 매우 다른 것으로 나타났으나(t=2.89, P<0.05)비번식기에는 큰 차이가 없었다(t=1.03, P>0.05).

• Journal of Korea Water Resources Association
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• v.53 no.7
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• pp.533-543
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• 2020

In order to provide information for proper management of groundwater resources, it is necessary to estimate the rise time of groundwater level by calculating the delay time between the time series of precipitation and groundwater level and to understand the characteristics of groundwater level variation. In this study, total delay time (TDT) and cross correlation coefficient between the moving averaged precipitation generated by using the moving average method to take into account the preceding precipitation and the groundwater level were calculated and analyzed for the nine groundwater level monitoring wells in the Pyoseon watershed in the southeast of Jeju Island. As a result, when the moving averaged precipitation was used, the correlation with the groundwater level was higher in all monitoring wells than in the case of using the raw precipitation, so that it was possible to more clearly estimate the delay time between precipitation and groundwater level. When using the moving averaged precipitation, it had cross correlation coefficients of up to 0.57 ~ 0.58 with the time series data of the groundwater level, and had a relatively high correlation when considering the preceding precipitation of about 24 days on average. The TDT was about 32 days on average, and it was confirmed that the consideration of preceding precipitation plays an important role in estimating the TDT because the days of moving averaged precipitation greatly influences the calculation of the TDT. In addition, through the use of moving averaged precipitation, we found an error in estimating the TDT due to the use of raw precipitation. Through the method of estimating the TDT used in this study and the use of the R code for estimating the TDT presented in the appendix of this paper, it will be possible to estimate the TDT for other regions in the future relatively easily.

• Management & Information Systems Review
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• v.37 no.1
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• pp.41-53
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• 2018

This study validates the trading rules based market anomalies and technical analysis in the Korean stock market. For the analysis, we built decile portfolios on the basis of corporate characteristics factors that clearly demonstrate specific patterns of stock returns including the firm size, book-to-market equity, and accruals. This portfolio was used to develop a portfolio based on the moving average trading strategy which was used for popular technical analysis tools, and then that was evaluated using the Sharpe ratio. We also created a zero-cost portfolio to identify the profitability and success rate of the moving average trading strategy. We lastly sought to ensure a more robust evaluation by calculating the Sortino ratio of the portfolio based on the moving average trading strategy with various lags. Key findings from this validation are as follows. First, a smaller firm size, a higher book-to-market equity, and lower accruals led to larger average returns. Second, the risk-adjusted performance of the moving average trading strategy was the highest in terms of the firm size, followed by book-to-market equity and accruals. Third, the returns of the zero-cost portfolios all had a positive value, with its overall success rate hovering over 68.8%, demonstrating the successfulness of the moving average trading strategy. Fourth, various evaluations revealed the economic usefulness of our trading strategy that used market anomalies and technical analysis.

• Journal of the Korean Data and Information Science Society
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• v.20 no.2
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• pp.293-299
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• 2009

In this article, we consider linear models such as regression, ARIMA (autoregressive integrated moving average), and regression+ARIMA (regression with ARIMA errors) for predicting hourly ozone concentration level in two areas of Daegu. Based on RASE(root average squared error), it is shown that the ARIMA is the best model in one area and that the regression+ARIMA model is the best in the other area. We further analyze the residuals from the optimal models, so that we might predict the ozone warning days where at least one of the hourly ozone concentration levels is over 120 ppb. Based on the training data in the years from 2000 to 2003, it is found that 35 ppb is a good cutoff value of residulas for predicting the ozone warning days. In on area of Daegu, our method predicts correctly one of two ozone warning days of 2004 as well as all of the remaining 364 non-warning days. In the other area, our methods predicts correctly all of one ozone warning days and 365 non-warning days of 2004.