• Proceedings of the Korean Society of Crop Science Conference
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• 2020.11a
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• pp.63-63
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• 2020

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1D
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• pp.59-66
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• 2006

This study was to construct the linear density predictive models on the on-ramp junctions in urban freeway. From the analyses of the real-time traffic characteristic data, and the construction and verification of the linear density predictive models, the models showed a considerable explanatory power with the determination coefficients ($R^2$) of over 0.7 between the density and speed data. Also, they showed a considerably high correlativeness with the correlation coefficients (r) of over 0.8 between the calculated density data and the expected ones estimated by the models.

• Proceedings of the Korean Society of Crop Science Conference
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• 2018.10a
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• pp.76-76
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• 2018

• Proceedings of the Korean Society of Crop Science Conference
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• 2018.10a
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• pp.267-267
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• 2018

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.04a
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• pp.96-96
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• 2022

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.159-163
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• 2008

본 연구에서는 2-방정식 난류모형을 이용하여 사면을 따라 발달하는 하층밀도류의 시간에 따른 이동현상에 대해 살펴보았다. 이를 위해 타원형의 편미분 방정식을 지배방정식으로 구성하고, 난류 완결을 위해 k-$\varepsilon$ 난류모형을 이용하였다. 개발된 모형을 이용하여 경사의 사면을 따라 진행하는 연속 유입 밀도류를 수치모의 하였다. 완전 발달된 하층밀도류의 거리에 따른 주흐름방향 유속 분포, 체적 농도를 계산하였고, 이를 기존의 실험결과와 비교하였다. 실험과 수치모의 결과가 잘 일치함을 확인하였다. 또한, 불연속 유입 밀도류의 시간에 따른 진행 상황을 수치모의하여 밀도류와 주변수체의 경계부에서 Kelvin-Helmholtz 불안정에 의한 와(渦)가 형성되는 것을 확인하였으며, 밀도류 선단부의 진행 속도와 주변수체의 유입에 대해 고찰하였다.

• Proceedings of the Korea Society of Environmental Biology Conference
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• 2002.11a
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• pp.72-80
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• 2002

광양만 지역 수직군집구조는 최상부는 해조류가 거의 분포하지 않으며, 상층 하부부터 Ulva spp.가 우점하고 있으며, 저서동물은 최상부지역에는 따개비류가 우점하며, 하부로 갈수록 Oysters가 우점하였다. 그리고 층별군집구조는 상층부는 Biofilm이, 중ㆍ하층부는 Ulva spp.가 우점하며, 하층부로 갈수록 Turf algae의 밀도가 높다. 따개비류는 상층부와 중층부에서 우점하고 있으며, 중하층부로 갈수록 Oysters가 우점하며 총알고동은 상층부에서 중하부에서는 삿갓조개류의 밀도가 높았다. 남해 서상지역의 수직군집구조는 8월 조사결과 상부는 Brown crustose algae가 중부부터는 지층이, Ulva spp. 등이 하부에서는 유절산호조류, 개서실 등이 우점하였으며, 10월 조사에서 상부에는 해조류가 거의 발견되지 않았으며, 중부이하에서 지층이, 개서실, 유절산호조류 등이 하부에는 가시명불 등이 우점하였다. 저서동물은 말미잘, 삿갓조개류, 고둥류 등이 높이와 관계없이 균일한 밀도를 보였다. 그리고 층별군집구조는 상층부는 지층이, 무절산호조류 등이, 중층부는 개서실, ULva spp. 유절산호조류, 지층이 등이, 하층부는 개서실, 유절산호조류, 가실덤불 등이 우점하였다. 저서동물은 전층에서 따개비류, 말미잘 등이 우점하였다. 상주지역의 수직군집구조는 상부는 해조류가 거의 대부분 분포하지 않으며, 중부는 Biofilm, 우뭇가사리가, 하부에서는 지충이, 패, Brown crustose algae, 무절산호조류, 톳 등이 밀도가 높게 나타났다. 저서동물은 상부에는 총알고둥과 따개비류, 중ㆍ하부는 삿갓조개류, 말미잘이 우점하였다. 그리고 수평군집구조는 Biofilm이 상층부의 일부 지역에서 조사되었으며, 중층부는 Biofilm, Brown crustose algae, 무절산호조류, 패, 지층이 등이 우점하며, 하부는 지충이, 톳, 유절산호조류, 무절산호조류, Brown crustose algae 등이 우점하였다. 저서동물은 상층부는 총알고둥이 중층부는 삿갓조개류, 말미잘, 군부, 해면류가 하층부는 해면류, 삿갓조개류, 말미잘 등이 우점하였다.

• Journal of Bio-Environment Control
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• v.28 no.2
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• pp.104-109
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• 2019

The crops recommended for the plant factory system are diverse. The importance of planting density in the plant factory is being recognized. The objective of this study was to determine the optimal planting density for growth and quality of kohlrabi in a closed-type plant factory system. The kohlrabi was grown under fluorescent lamps and nutrient film technique system. The growth and quality of kohlrabi were investigated under four different planting densities ($22plants/m^2(15{\times}30cm)$, $27plants/m^2(15{\times}25cm)$, and $33plants/m^2(15{\times}20cm)$). There were no significant interactions between Shoot fresh and dry weights per plant or bulb stem fresh and dry weights per plant and planting density. Shoot fresh and dry weight per area or bulb stem fresh and dry weight per area were the highest at $33plants/m^2$. There were no significant interactions between plant height, leaf area, photosynthetic rate, hardness, and chlorophyll content and planting density. Significant differences in Bulb stem height and diameter, and brix were observed. Bulb stem height and diameter and brix of kohlrabi were the highest at $22plants/m^2$. Based on our results, we conclude that the optimal planting density is $33plants/m^2$ for growth of kohlrabi, however, the optimal planting density is $22plants/m^2$ for quality of kohlrabi in a closed-type plant factory system.

• Journal of IKEEE
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• v.20 no.1
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• pp.61-67
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• 2016

In this paper, a hardware design method is proposed for high speed high precision neutron radiation measurements. Our system is fabricated to use a high performance A/D Converter for digital data conversion of high precision and high speed analog signals. Using a neutron sensor, incident neutron radiation particles are detected; a precision microcurrent measurement module is also included: this module allows for more precise and rapid neutron radiation measurement design. The high speed high precision neutron measurement hardware system is composed of the neutron sensor, variable high voltage generator, microcurrent precision measurement component, embedded system, and display screen. The neutron sensor detects neutron radiation using high density polyethylene. The variable high voltage generator functions as a 0 ~ 2KV variable high voltage generator that is robust against heat and noise; this generator allows the neutron sensor to perform normally. The microcurrent precision measurement component employs a high performance A/D Converter to precisely and swiftly measure the high precision high speed microcurrent signal from the neutron sensor and to convert this analog signal into a digital one. The embedded system component performs multiple functions including neutron radiation measurement for high speed high precision neutron measurements, variable high voltage generator control, wired and wireless communications control, and data recording. Experiments using the proposed high speed high precision neutron measurement hardware shows that the hardware exhibits superior performance compared to that of conventional equipment with regard to measurement uncertainty, neutron measurement rate, accuracy, and neutron measurement range.

• Journal of the Korea Society of Computer and Information
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• v.17 no.7
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• pp.45-52
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• 2012

In this paper, an crowd density in elevator estimation method based on multi-class Adaboost classifier is proposed. The SOM (Self-Organizing Map) based conventional methods have shown insufficient performance in practical scenarios and have weakness for low reproducibility. The proposed method estimates the crowd density using multi-class Adaboost classifier with texture features, namely, GLDM(Grey-Level Dependency Matrix) or GGDM(Grey-Gradient Dependency Matrix). In order to classify into multi-label, weak classifier which have better performance is generated by modifying a weight update equation of general Adaboost algorithm. The crowd density is classified into four categories depending on the number of persons in the crowd, which can be 0 person, 1-2 people, 3-4 people, and 5 or more people. The experimental results under indoor environment show the proposed method improves detection rate by about 20% compared to that of the conventional method.