• Proceedings of the KIPE Conference
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• 2018.07a
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• pp.111-113
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• 2018

본 논문에서는 3상 듀얼 액티브 브리지 (3P-DAB) 컨버터의 경부하 조건에서 전력 변환 효율을 향상시키기 위한 효과적인 스위칭 알고리즘을 제안한다. 3P-DAB 컨버터는 교차배치 (Interleave) 구조로 인한 작은 필터 크기와 낮은 전도 손실을 얻을 수 있고, 추가적인 회로없이 소프트 스위칭이 가능하며 양방향 전력 흐름에서의 무절체 제어로 인해 고전력 애플리케이션에서 널리 사용되는 토폴로지 중 하나이다. 그러나 3P-DAB의 위상천이 방법(SPS)을 이용한 제어 방식의 경우 경부하 조건에서 영전압 스위칭(ZVS)의 실패 가능성이 높기때문에 효과적이지 않다. 본 논문에서는 SPS 제어 알고리즘과 비대칭 시비율 변조법 (Asymmetrical Pulse Width Modulation; APWM)을 연쇄적으로 사용하여, 경부하에서 스위치의 ZVS 영역을 넓히고자 한다. 3-kW의 3상 DAB 컨버터의 시작품을 구현하고 실험을 통해 제안된 방법의 효율성을 검증 하였다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.103-112
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• 2005

자동화 컨테이너 터미널의 생산성을 향상시키기 위해서는 장치장과 안벽 사이를 오가며 컨테이너를 운반하는 무인유도 차량(Automated Guided Vehicle: AGV)들이 효율적으로 주행하여 제 시간에 필요한 위치에 도착함으로써 연계 작업들의 지연을 최소화하여야 한다, 만일 AGV들이 목적지까지 주행하여야 하는 거리가 길거나 주행 중에 다른 AGV들과의 충돌이나 교축을 피하기 위하여 대기하여야 하는 상황이 빈번히 발생하면 주행 효율이 떨어지게 된다, 주행 경로의 길이를 줄이기 위하여 경로들을 보다 유연하게 설정할 수 있게 허용하면 경로들간의 교차 가능성이 높아져 교통 통제가 어려워지고 결과적으로 충돌과 교착이 발생할 가능성은 높아진다. 특히 교착을 사전에 방지하기 위하서는 문제가 발생할 소지가 있는 영역을 미리 파악하여 일부 영역을 다른 AGV들이 점유하지 못하도록 제한하여야 하는데, 이는 자칫 AGV 주행 공간의 활용도를 떨어뜨릴 수 있다. 또한 교착의 파악과 이를 방지하기 위한 제어는 실시간에 이루어져야 하므로 연산 부담이 상당하다. 본 논문에서는 유연한 주행 경로 설정이 가능하며 주행 공간을 효율적으로 활용할 수 있는 주행 경로 표현법과 충돌 방지 방안을 제안한다. 또한 교착 발생 가능성을 사전에 파악하고 회피(avoidance)하는데 소요되는 연산비용을 줄여 실시간 적용 가능성을 높이기 위하여 교착해결(deadlock resolution)에 기반을 둔 AGV 주행 관리 방안을 제시한다. 본 논문에서 제안하는 방안의 효율성을 시뮬레이션을 통하여 검증해 보았다.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.321-330
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• 2018

The purpose of this study was to investigate the differences in the perception of directors of child-care center about parental education according to types of child-care centers. The subjects were 147 directors of child-care centers who reside in Chungbuk, Sejong, and Jeonbuk. Data were collected through questionnaires. The collected data were analyzed using SPSS 18, and frequency analysis, chi-square method and ANOVA method and Tukey test was also used for the posttest. The results of this study are as follows. There was no difference in the recognition of the director about the necessity of the parental education depending on the type of child-care center. There was a difference in the recognition of the directors in relation to subjects of parental education, the execution method, and evaluation area of parent education.

• Journal of The Korean Society of Grassland and Forage Science
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• v.35 no.2
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• pp.125-130
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• 2015

The objective of this study was to investigate the feasibility of using near infrared spectroscopy (NIRS) to discriminate between grass spices. A combination of NIRS and chemometrics was used to discriminate between Italian ryegrass, perennial ryegrass, and tall fescue seeds. A total of 240 samples were used to develop the best discriminant equation, whereby three spectra range (visible, NIR, and full range) were applied within a 680 nm to 2500 nm wavelength. The calibration equation for the discriminant analysis was developed using partial least square (PLS) regression and discrimination equation (DE) analysis. A PLS discriminant analysis model for the three spectra range that was developed with the mathematic pretreatment "1,8,8,1" successfully discriminated between Italian ryegrass, perennial ryegrass, and tall fescue. An external validation indicated that all of the samples were discriminated correctly. The discriminant accuracy was shown as 68%, 78%, and 73% for Italian ryegrass, perennial ryegrass, and tall fescue, respectively, with the NIR full-range spectra. The results demonstrate the usefulness of the NIRS-chemometrics combination as a rapid method for the discrimination of grass species by seed.

• Journal of The Korean Society of Grassland and Forage Science
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• v.40 no.4
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• pp.259-264
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• 2020

The aim of this study was to investigate the feasibility of discrimination 12 different cultivar of sorghum × sudangrass hybrid (Sorghum genus) seed through near infrared spectroscopy (NIRS). The amount of samples for develop to the best discriminant equation was 360. Whole samples were applied different three spectra range (visible, NIR and full range) within 680-2500 nm wavelength and the spectrastar 2500 Near near infrared was used to measure spectra. The calibration equation for discriminant analysis was developed partial least square (PLS) regression and discrimination equation (DE) analysis. The PLS discriminant analysis model for three spectra range developed with mathematic pretreatment 1,8,8,1 successfully discriminated 12 different sorghum genus. External validation indicated that all samples were discriminated correctly. The whole discriminant accuracy shown 82 ~ 100 % in NIR full range spectra. The results demonstrated the usefulness of NIRS combined with chemometrics as a rapid method for discrimination of sorghum × sudangrass hybrid cultivar through seed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.3
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• pp.321-335
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• 2023

Monitoring sediment loads in natural rivers is the key process in river engineering, but it is costly and dangerous. In practice, suspended loads are directly measured, and total loads, which is a summation of suspended loads and bed loads, are estimated. This study proposes a real-time sediment discharge monitoring system using the horizontal acoustic Doppler current profiler (H-ADCP) and support vector regression (SVR). The proposed system is comprised of the SVR model for suspended sediment concentration (SVR-SSC) and for total loads (SVR-Q_TL), respectively. SVR-SSC estimates SSC and SVR-Q_TL mimics the modified Einstein procedure. The grid search with K-fold cross validation (Grid-CV) and the recursive feature elimination (RFE) were employed to determine SVR's hyperparameters and input variables. The two SVR models showed reasonable cross-validation scores (R²) with 0.885 (SVR-SSC) and 0.860 (SVR-Q_TL). During the time-series sediment load monitoring period, we successfully detected various sediment transport phenomena in natural streams, such as hysteresis loops and sensitive sediment fluctuations. The newly proposed sediment monitoring system depends only on the gauged features by H-ADCP without additional assumptions in hydraulic variables (e.g., friction slope and suspended sediment size distribution). This method can be applied to any ADCP-installed discharge monitoring station economically and is expected to enhance temporal resolution in sediment monitoring.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.57 no.3
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• pp.296-300
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• 2012

Discrimination of geographic origin of agricultural products is a important issue in Korea because the price difference between Korean domestic and imported cereals is a key among some reasons. NIRS (Near Infrared Reflectance Spectroscopy) has been applied to classify the geographical origin of soybeans. Total 135 samples (Korean domestic 92 and foreign 43) were used to obtain calibration equation through 400~2,500 nm wavelength. The math treatment with 1st derivative and 4 nm gap and the modified partial least squares(MPLS)regression was outstanding for calibration equation. The standard error of calibration and determination coefficient in calibration set(n=115) was 6.65 and 0.98, respectively. And it showed that the extra 20 samples for validation equation were identified their authentication correctly. This study describes that the application of NIRS would be possible for discrimination of geographical origin between Korean domestic and imported soybeans.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1215-1224
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• 2016

Climate information of the high resolution grid units is an important factor to explain the phenomenon in a variety of research field. Statistical linear interpolation models are computationally inexpensive and applicable to any climate data compared to the dynamic simulation method at regional scales. In this paper, we considered four different linear-based statistical interpolation models: general linear model, generalized additive model, spatial linear regression model, and Bayesian spatial linear regression model. The climate variable of interest was the daily mean temperature, where the spatial variability was explained using geographic terrain information: latitude, longitude, elevation. The data were collected by weather stations in January from 2003 and 2012. In the sense of RMSE and correlation coefficient, Bayesian spatial linear regression model showed better performance in reflecting the spatial pattern compared to the other models.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.1
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• pp.107-114
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• 2011

In this study, a correlation between the roughness of nanoscale lapping surface and its laser scattering pattern has been identified experimentally. The characteristics of laser scattering on a reflected surface are investigated, and a laser scattering mechanism is newly designed by adopting the dark-field method. Laser scattering patterns resulting from nanoscale lapping shape are in the shape of crossed irregular lattice. In addition, optimum laser scattering images are obtained by the design of experiment, and the roughness of nanoscale lapping surface is estimated using regression analysis certain useful features of the laser scattering patterns. The results of fifty experiments on three types of nanoscale lapping surfaces show that the roughness of nanoscale lapping surfaces can be accurately estimated by the proposed mathematical modeling method.

• Journal of the Korean Institute of Telematics and Electronics D
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• v.36D no.5
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• pp.44-53
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• 1999

This paper are reported a methodology and application for extracting parasitic capacitances in a multi-level interconnect semiconductor structure by a numerical technique. To calculate the parasitic capacitances between the interconnect lines, we employed finite element method (FEM) and calculated the distrubution of electric potential in the inter-metal layer dielecric(ILD) by solving the Laplace equation. The three-dimensional multi-level interconnect structure is generated directly from two-dimensional mask layout data by specifying process sequences and dimension. An exemplary structure comprising two metal lines with a dimension of 8.0$\times$8.0$\times$5.0$\mu\textrm{m}^3/TEX>, which is embedded in three dielectric layer, was simulated to extract the parasitic capacitances. In this calculation, 1960 nodes with 8892 tetrahedra were used in ULTRA SPARC 1 workstation. The total CPU time for the simulation was 28 seconds, while the memory size of 4.4MB was required.