• Journal of Sensor Science and Technology
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• v.17 no.6
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• pp.454-461
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• 2008

This embedded module measures significant wave height and zero crossing periods through spectral energy from a record of time series heave motion. An ARM7TDMI core microcontroller serves as the main control unit which performs the appropriate control and signal conditioning. Monitored wave characteristic is transmitted with satellite modem. Mathematical equations on signal conditioning and experiments procedures are documented in this paper.

• Proceedings of the KOSOMBE Conference
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• v.1990 no.05
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• pp.21-24
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• 1990

This paper presents a new algorithm for P-wave detection in the ECG signal, we get the peak, onset and offset point by using significant point extraction algorithm with 5-point derivative. To these set of extracted significant points, we apply amplitude and duration threshold criterion. we define the set of significant point meeting the criterion as P-wave candidate. Then P-wave candidate is classified through match-process with template. The template with maximum number or P-wave candidate is selected to be the P-wave.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.31 no.2
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• pp.88-99
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• 2019

This study presents the results of analysis for the wave data that were consecutively collected from February 2013 to November 2018 at the location of 1.6 km offshore from Namhangjin beach. The water depth at the location is 30.5 m and waves were measured by AWAC (Acoustic Wave And Current meter). By using wave-by-wave analysis and spectral analysis, wave heights and periods were evaluated and then the relationships between the quantities obtained by the two methods were proposed based on linear regression analysis. In addition, monthly and yearly variations of the significant wave height and period, and the peak wave direction were analyzed. Moreover, the relationship between the significant wave height and period was newly suggested. Variability and probability distribution of the significant wave period with respect to the significant wave height were also examined.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.36 no.2
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• pp.61-69
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• 2024

Wave conditions are crucial for offshore wind farm design, particularly in determining structural loads and layout. However, there is limited wave hindcasting research for the Wangdeungdo Island area, a potential offshore wind site. This study used the MIKE21 model for a year-long wave hindcast around Wangdeungdo in 2021. Validation showed high reproducibility for significant wave heights with RMSE values of 0.177 and 0.225 and Pearson correlations of 0.971 and 0.970 at Sangwangdeungdo and Buan buoys. Subsequent analysis of the wave characteristics near Wangdeungdo indicated significant seasonal variations and differences in maximum significant wave heights across locations, which are expected to significantly impact the design loads for offshore wind structures.

• Journal of the Korean Society for Marine Environment & Energy
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• v.17 no.2
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• pp.63-69
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• 2014

Analysis frequency spectrum through observed wave data in northeastern shore, jeju island, during winter and fall, and review wave characteristics. In order to compute maximum wave height, we calculate the ratio of significant wave height to maximum wave height using the linear regression equation. In addition, for calculating JONSWAP spectrum, we assumed ${\gamma}$ value using significant wave height and peak frequency in the observation area. Consequently, the highest frequency is below 1 m in the case of significant wave height and during the first observation, the mean of height was estimated at 0.523 m and during the scend observation, it was 0.423 m. Furthermore, in peak frequency, the highest frequency was 0.12 Hz~0.15 Hz (period is nearly 6.67s~8.33s), the results of ${\gamma}$ from using significant wave height and peak frequency is 2.72 and the significant wave height calculated by straight linear regression equation was $1.635H_s$.

• Journal of Distribution Science
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• v.15 no.9
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• pp.53-62
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• 2017

Purpose - This study aims to analyze the effects of preference for Korean Wave and heuristic on shopping satisfaction and switching barriers of Chinese people visiting Korea, and also their positive effects on consumers' behavioral intention with these variables as mediating variables by using the structural equation model. Research design, data, and Methodology - For this study, we collected 264 questionnaires of Chinese consumers' who have experienced tourism and shopping in Korea after excluding questionnaires that were not proper to be analyzed. The residence of Chinese visiter was Shandong Province, Beijing, Shanghai, Shenyang. The data of this study was analyzed using SPSS 23 statistics to verify the reliability and discriminant validity. Structural equation method was used to test the hypotheses in this study. Results - The effects of heuristic variable on shopping satisfaction and the switching barriers variable were statistically significant. The effects variables of Korean Wave effect variable were statistically significant only on the switching barriers variable. However, the Korean Wave effect variable did not have a statistically significant effect on the shopping satisfaction. Conclusions - The shopping satisfaction and Korean Wave effect variables had statistically significant effects on the behavioral intention variable. In the result of indirect analysis, only the heuristic effect had indirect effects on consumers' behavior intention.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.28 no.6
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• pp.375-382
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• 2016

In the present study, the wave hindcasting has been performed, and then the characteristics of storm waves at Gangnueng port was investigated, in which the high waves are observed. Comparing the numerical results with the wave measurements at Gangneung port, Niigata, and Hamada, there were good agreements between them. In particular, the Pearson correlation coefficients of significant wave heights and peak periods at Gangneung port were 0.92 and 0.72, respectively. Then the extreme wave analysis on the significant wave heights was carried out for the estimation of the frequency of storm waves. In this analysis, the storm waves over the threshold were fitted to GPD(Generalized Pareto Distribution). According to this analysis, the return period of the storm wave on February, 24, 2008, one of the large storm waves at Gangneung port, was 8.2 months. Among the computed significant wave heights larger than one-year wave, 58.3% of them were resulted from the storm, while the others were from the typhoon. Additionally, the regression analysis on the waves larger than one-month wave has been conducted, and then the relationship between the computed significant wave heights and the significant wave period, $T_{1/3}=7H_s^{0.25}$ was obtained.

• Proceedings of the KIEE Conference
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• 1989.07a
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• pp.162-165
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• 1989

This paper describes an algorithm of P-wave detection by significant point extraction method with digital differentiation. P-waves are detected by pattern matching algorithm with significant points. By means of defecting onset and offset points of P-waves, this algorithm can measure the PR intervals exactly which is important to diagnosis the atrial arrhythmia. Because P-wave duration is changed according to heart-rates, we calculate the R-R interval prior to the determination of P-wave duration threshold values in order to actively adapt to the change of P duration The results obtained from the proposed algorithm have defected successfully P-wave almost more than 90%.

• Journal of Acupuncture Research
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• v.27 no.5
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• pp.43-50
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• 2010

Objectives : This study was to compare the effect of electroacupuncture therapy on peripheral facial paralysis according to the wave forms. Methods : We investigated 56 cases of inpatients with Peripheral Facial Paralysis, and divided them into two groups, One group was treated by electroacupuncture on interrupted wave, and the other was treated by electroacupuncture on dense-dispersed wave. We evaluated the effect of electroacupuncture in each group by using Gross Grading System of House-Brackmann and Yanagihara's Unweighed Grading System. Results : 1. In the interrupted wave and the dense-dispersed wave, compared with baseline, at final, Gross Grading System of House-Brackmann was significantly decreased and Yanagihara's Unweighed Grading System was significantly increased. 2. At final, Interrupted wave showed significant decrease on the Gross Grading System of House-Brackmann and significant increase on Yanagihara's Unweighed Grading System compared with dense-dispersed wave. Conclusions : These results suggested that interrupted wave should be more useful for improving symptoms related with peripheral facial paralysis than dense-dispersed wave.

• Journal of Industrial Technology
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• v.5
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• pp.59-64
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• 1985

The remarkable economic growth achived during 1960-1980 in Korea inevitablely demanded the expansion and maintenance of the harbors and their auxiliary seashore facilities. One of the most important elements in the basic besign for the expasion of a harbor and its auxiliary facilities is, of course, the proper determination of the design wave which reflects the major characteristics of the seashore under consideration. In this study, the parameters of significant waves for the industrial harbors on East Coast, Muck-Ho and Po-Hang, are first computed by means of computer programming using S.M.B and P.N.J methods, respectively. Then the design waves with the return periods of 5-200 years were estimated by frequency analysis of the significant waves. A comparison of the design waves with the observed wave data during the past 10 years made it possible to determine the optimum value of design wave at the two harbors. The important results of this study can be summarized as follows; 1) It seems appropriate to take the design wave hieghts with the return period of 50 years at Muck-Ho and Po-Hang as 6.9 and 5.8 meters respectively. 2) It was found that for the determination of design waves on East Coast of Korean Peninsula P.N.J method works better than S.M.B method in predicting the significant wave, and the Log-Normal distribution fits best to the wave data which were put to frequency analysis.