Objective: The aim of this study was to investigate the correlation between 3D visual fatigue and physiological measures by canonical correlation analysis enabling to categorical correlation. Background: Few studies have been conducted to investigate the physiological mechanism underlying the visual fatigue caused by processing 3D information which may make the cognitive mechanism overloaded. However, even the previous studies lack validation in terms of the correlation between physiological variables and the visual fatigue. Method: 9 Female and 6 male subjects with a mean age of $22.53{\pm}2.55$ voluntarily participated in this experiment. All participants were asked to report how they felt about their health sate at after viewing 3D. In addition, Low & Hybrid measurement test(Event Related Potential, Steady-state Visual Evoked Potential) and for evaluating cognitive fatigue before and after viewing 3D were performed. The physiological signal were measured with subjective fatigue evaluation before and after in watching the 3D content. For this study suggesting categorical correlation, all measures were categorized into three sets such as included Visual Fatigue set(response time, subjective evaluation), Autonomic Nervous System set(PPG frequency, PPG amplitude, HF/LF ratio), Central Nervous System set(ERP amplitude P4, O1, O2, ERP latency P4, O1, O2, SSVEP S/N ratio P4, O1, O2). Then the correlation of three variables sets, canonical correlation analysis was conducted. Results: The results showed a significant correlation between visual fatigue and physiological measures. However, different variables of visual fatigue were highly correlated to respective HF/LF ratio and to ERP latency(O2). Conclusion: Response time was highly correlated to ERP latency(O2) while the subjective evaluation was to HF/LF ratio. Application: This study may provide the most significant variables for the quantitative evaluation of visual fatigue using HF/LF ratio and ERP latency based human performance and subjective fatigue.
Guyed masts subjected to turbulent winds exhibit complex vibrations featuring many vibration modes, each of which contributes to various structural responses in differing degrees. This dynamic behaviour is further complicated by nonlinear guy cable properties. While previous studies have indicated that conventional frequency domain methods can reliably reproduce load effects within the mast, the system linearization required to perform such an analysis makes it difficult to relate these results directly to corresponding guy forces. As a result, the estimation of peak load effects arising jointly from the structural action of the mast and guys, such as leg loads produced as a result of guy reactions and mast bending moments, is uncertain. A numerical study was therefore undertaken to study peak load effects in a 295 m tall guyed mast acted on by simulated turbulent wind. Responses calculated explicitly from nonlinear time domain finite element analyses were compared with approximate methods in the frequency domain for estimating peak values of selected responses, including guy tension, mast axial loads and mast leg loads. It was found that these peak dynamic load effects could be accurately estimated from frequency domain analysis results by employing simple, slightly conservative assumptions regarding the correlation of related effects.
Journal of the Earthquake Engineering Society of Korea
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v.25
no.2
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pp.53-58
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2021
Nuclear power plant's safety against seismic events is evaluated as risk values by probabilistic seismic safety assessment. The risk values vary by the seismic failure correlation between the structures, systems, and components (SSCs). However, most probabilistic seismic safety assessments idealized the seismic failure correlation between the SSCs as entirely dependent or independent. Such a consideration results in an inaccurate assessment result not reflecting real physical phenomenon. A nuclear power plant's seismic risk should be calculated with the appropriate seismic failure correlation coefficient between the SSCs for a reasonable outcome. An accident scenario that has an enormous impact on a nuclear power plant's seismic risk was selected. Moreover, the probabilistic seismic response analyses of a nuclear power plant were performed to derive appropriate seismic failure correlations between SSCs. Based on the analysis results, the seismic failure correlation coefficient between SSCs was derived, and the seismic fragility curve and core damage frequency of the loss of essential power event were calculated. Results were compared with the seismic fragility and core damage frequency of assuming the seismic failure correlations between SSCs were independent and entirely dependent.
Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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2001.11b
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pp.922-926
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2001
This paper deals with sensing ability of smart sensor that has a sensing ability to distinguish materials according to frequency changing. We have developed a new signal processing method that can distinguish among different materials. The smart sensor was developed for recognition of materials. We estimated the sensing ability of smart sensor with the $R_{SAI}$ method according to frequency changing. Experiments and analysis were executed to estimate the ability to recognize objects according to frequency changing. Sensing ability of smart sensors was evaluated relatively through a new $R_{SAI}$ method. Applications of smart sensors are for finding abnormal conditions of objects (auto-manufacturing), feeling of objects (medical product), robotics, safety diagnosis of structure, etc.etc.
Park, Kyoung-Hee;Kwon, Oh-Yun;Jang, Kuen;Kang, Sung-Jae;Kim, Young-Ho
Physical Therapy Korea
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v.8
no.2
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pp.41-54
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2001
Fatigue is the decline in force produced as a result of prolonged muscle activity. Localized muscle fatigue can be identified by a shift toward low in the frequency components of the EMG signal, typically represented by a fall in the median frequency. Previous studies show that a shortened muscle develops a higher fatigue than elongated muscles. The purpose of this study was to investigate the time-related change of median frequency and torque during maximal isometric back extension exercises at different exercise angles ($0^{\circ}$, $12^{\circ}$, $36^{\circ}$, $72^{\circ}$). Twenty healthy subjects (mean age = $24.35{\pm}2.70$) were evaluated in this study. Median frequency was extracted from the EMG signals by fast Fourier transform (FFT). Initial median frequency and the slope of median frequency change over time were computed from linear regression analysis. Pearson's product moment correlation was used to quantify the relationship between slope of median frequency and torque. The results were as follows: 1) Significant differences in y-intercepts of torque regression equation with respect to exercise angle were shown. However, there were no differences in the slopes of the median frequency and torque, and y intercept of the median frequency among exercise angles. 2) There was no significant correlation between slope of median frequency and torque. 3) But there was moderate correlation between median frequency and torque at each exercise angle. In conclusion, the exercise angle during maximal isometric back extension exercise is not a direct effect on slope of median frequency and torque. But results showed that median frequency and torque shift were highly correlated in all subjects.
Background: The purpose of this study was to assessment of posture sway on static standing in the elderly. Methods: The participants aged 60 to 90 years, were divided into age such 60s, 70s and 80s and with a history of exercise, arthritis and hang on one's stick. Posture sway were analyzed using the computerized BPM system. Each test was repeated three times. All the data were expressed means and standard deviation by using SPSS 12.0 program. Results: The posture sway test according to sex showed that mean balance, sway number and frequency performance were significantly stable in men than in women. All direction frequency, sway area, sway path and max velocity were significantly unstable in 80s than 70s and 60s. The results of the posture sway test according to exercise group, arthritis and hang on one's stick group were showed that mean balance function was significantly stable in exercise group than arthritis and stick groups. The weight was showed significant correlation by mean balance, sway no, frequency, sway area, sway path and max velocity. Sway area and max velocity were not significant correlation by frequency of lateral and left, right anterior and posterior direction. Conclusion: In this study was showed that posture sway was effected from health condition of elderly.
Kim, Eung-Seok;Noh, Yeon-Sik;Seo, Kwang-Seok;Park, Sung-Bin;Yoon, Hyung-Ro
Journal of Biomedical Engineering Research
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v.31
no.5
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pp.375-384
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2010
The purpose of this study is to determine whether there is a correlation between the segmental bio-impedance measurement with the frequency modulations and the life-style disease of obesity. An obesity is not simply the factor for estimating the life-style disease of obesity, but also the risk factor occurring. There are many methods (BMI, WHR, Waist, CT, DEXA, BIA, etc.) for measuring a degree of obesity; the bio-impedance measurement is more economic and more effective than others. The physical examination, the blood test, the medical imaging diagnosis and the bio-impedancemeasurementswithmultiple frequencies for each body parts have been conducted for 77 people. The estimated value has been calculated through a segmental bio-impedance model based on multi-frequency that was created to reflect the highest correlation by analyzing correlation with linear regression analysis method for the measured bio-impedance and the risk factors. Then we compared with the clinical diagnosis. In case of high level cholesterol, low HDL-C and high LDL-C for life-style disease, the sensitivity is 80~100%and the specificity is 83~100%. This study has shown conclusively that bio-impedance can be a possible predictor to analyze the disease risk rate of population and individual health maintenance. And also the multi-frequency segmental bio-impedance can be used as early predictor to estimate the life-style disease of obesity.
The aim of this study was to develop various types of a dish frequency questionnaire (DFQ) for estimating the habitual sodium intake and to evaluate the validity of a 125 item dish frequency questionnaire (DFQ 125) with the DFQ 70, DFQ 36 and DFQ 15. For the DFQ 125, one hundred and twenty five dish items were selected based on the information of sodium content of a one serving size, consumption frequency and dish items that contributed most to the variation of sodium intake. Frequency of consumption was determined through nine categories ranging from more than 3 times a day to almost never to indicate how often the specified amount of each food item was consumed during the past 6 months. The sodium intake estimated with DFQ 125 was $5775.0{\pm}3636.3mg$, 12.6% higher than that estimated with a 24 hr urine analysis ($5009.7{\pm}1541.9mg$) and significant correlation was observed between them (r=0.3315, p<0.001). When sodium content in broth leftover was subtracted from the total intake, the actual sodium intakes was decreased to $5309.6{\pm}3076.6mg$, which was 3.2% higher than that with a 24-hr urine analysis. Overall, 56% of subjects in the lowest quintile of sodium intake computed with DFQ 125 were also in the lowest of adjacent quintile while categorization into the opposite quintile were 4.9%. DFQ 70 was developed from DFQ 125 by omitting the food items not frequently consumed, selecting the dish items that showed higher sodium content per one portion size and higher consumption frequency. The sodium intake estimated with DFQ 70 ($5026.6{\pm}3107.1mg$) showed only 0.2% difference from that estimated with a 24-hr urine analysis, significant correlation with it (r=0.3199, p<0.001) and higher proportion of subjects to be classified into the same or adjacent quintile. The sodium intake estimated with DFQ 36 or DFQ 15 was also significancy correlated with that estimated with a 24-hr urine analysis (r=0.3441, p<0.001; r=0.321, p<0.001 respectively) and more. The proportion of subjects was classified into the same or adjacent quintile. However, the actual sodium intake estimated with DFQ 36 or DFQ 15 were $3534.0{\pm}1804.6mg\;and\;2508.0{\pm}1261.5mg$, respectively, 31.3% or 51.3% less than that estimated with a 24-hr urine analysis. It seems the DFQ 125 with subtraction of sodium content in broth leftover or DFQ 70 can be used quantitatively to estimate sodium intake of adults. DFQ 36 or DFQ 15 can be used as a screening tool or to assess the changes of sodium intake after nutrition education.
Kim, Soo-Byeong;Lee, Na-Ra;Lee, Seung-Wook;Choi, Jun-Young;Lee, Yong-Heum
Korean Journal of Acupuncture
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v.29
no.1
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pp.71-81
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2012
Objectives : The purpose of this paper was to suggest new diagnostic method that was to supersede the estimation of electrical properties at acupoints. Thus, we developed the multi- frequencies bioelectrical impedance measurement system so as to analyze the state of bio-ions in body fluid as body compositions, not skin impedance at acupoint. Methods : At low frequency, the current does not penetrate the cell membrane and at high frequency, the current passes through both intracellular and extracellular fluid because of the decreas of cell membrane impedance. To confirm the reflection of composition in extracellular fluid or intracellular fluid of segment such as acupoint, the system was developed to detect the acupoint potential between adjacent two points in the area of LU3, LU4 and LU9 using 5,50 and 200KHz. Results : The detected acupoint potential has been decreased according to elevation of frequency. As a result of correlation of left/right identical acupoint, we observed a high correlation of three types of acupoint potential at multi-frequencies. Moreover, we observed the low correlation at 5KHz, and that was a significant factor to be considered as unbalanced relationship of identical acupoints. Conclusions : On the basis of meridian theoretical point of view, we may infer the acupoint's physiological composition using the multi-frequencies bioelectrical impedance measurement system.
Proceedings of the Korea Water Resources Association Conference
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2010.05a
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pp.1620-1624
/
2010
The NLCCA has been applied to analyze the East Asia sea surface temperature (SST) and Korea monthly precipitation, where the eight leading PCs of the SST and the eight PCs of the precipitation during 1973-2007 were inputs to an NLCCA model. The first NLCCA mode is plotted in the PC spaces of the Korea precipitation and the world SST present a curve linking the nonlinear relationship between the first three leading PCs of Korea precipitation and world SST forthright. The correlation coefficient between canonical variate time series u and v is 0.8538 for the first NLCCA mode. And there are some areas' climate variability have higher relationship with Korea precipitation, especially focus on the north of East Sea' climate variability have represented the higher canonical correlation with Korea precipitation, with the correlation coefficient is 0.871 and 0.838. Likewise in Korea, most stations display similarly uniform distributing characteristic and less difference, in particular the inshore stations have display identical distributing characteristic. In correlation variables' scores, the fluctuation and variation trend are also seasonal oscillation with high frequency.
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