• Title/Summary/Keyword: v2 - f 모델

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Development of Fender Segmentation System for Port Structures using Vision Sensor and Deep Learning (비전센서 및 딥러닝을 이용한 항만구조물 방충설비 세분화 시스템 개발)

  • Min, Jiyoung;Yu, Byeongjun;Kim, Jonghyeok;Jeon, Haemin
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.26 no.2
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    • pp.28-36
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    • 2022
  • As port structures are exposed to various extreme external loads such as wind (typhoons), sea waves, or collision with ships; it is important to evaluate the structural safety periodically. To monitor the port structure, especially the rubber fender, a fender segmentation system using a vision sensor and deep learning method has been proposed in this study. For fender segmentation, a new deep learning network that improves the encoder-decoder framework with the receptive field block convolution module inspired by the eccentric function of the human visual system into the DenseNet format has been proposed. In order to train the network, various fender images such as BP, V, cell, cylindrical, and tire-types have been collected, and the images are augmented by applying four augmentation methods such as elastic distortion, horizontal flip, color jitter, and affine transforms. The proposed algorithm has been trained and verified with the collected various types of fender images, and the performance results showed that the system precisely segmented in real time with high IoU rate (84%) and F1 score (90%) in comparison with the conventional segmentation model, VGG16 with U-net. The trained network has been applied to the real images taken at one port in Republic of Korea, and found that the fenders are segmented with high accuracy even with a small dataset.

Roadside Landslide and Ditch Erosion in Mountain Forest Road (산악지림도(山岳地林道)의 노견(路肩) 사면붕괴(斜面崩壞)와 측구침식(側溝浸蝕)에 관(關)한 연구(硏究))

  • Ma, Sang Kyu
    • Journal of Korean Society of Forest Science
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    • v.76 no.2
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    • pp.161-168
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    • 1987
  • Forest road (10 Km) constructed for the demonstrational purpose by Forest Work Training Center (F.T.C.) in 1984 was partly damaged through the roadside landside and ditch erosion by the typhoon in 1986. The causes were investigated to apply for protecting against the damage of mountain forest road. The damaging length caused by roadside landside is around 3% out of total length of 10 Km forest road, and mostly coming from the curve road filled up more than 10 m slope length on the concave mountain slope, partly from the foot of fillslope along the ever-following valley and from the both side of fillslope under the outlet of culvert with ever-flowing water. In case of ditch erosion, the big damage at V-type ditch is coming from the overflow of valley water flowing down along the inside slope. Other problem is also showing in the steepness of longitudial gradient, which is felt as a problem in road to be constructed under more than 10 persent of gradient. Other cause of ditch erosion is coming from the bury of sand basin (water collecting wall) by the debris in small diameter culvert zone, namely less than 400mm, in diameter and by the soil mass slumped down from steep wall slope. From above results the causes of F.T.C. model road damage is showing to come from no-following the general guide or little experience to protect against the forest road damage. When improved above mentioned mistakes, F.T.C. Method of mountain forest road type could be developed as a model of Mountain forest road.

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Ordinary Magnetoresistance of an Individual Single-crystalline Bi Nanowire (자발 성장법으로 성장된 단결정 Bi 단일 나노선의 정상 자기 저항 특성)

  • Shim, Woo-Young;Kim, Do-Hun;Lee, Kyoung-Il;Jeon, Kye-Jin;Lee, Woo-Young;Chang, Joon-Yeon;Han, Suk-Hee;Jeung, Won-Young;Johnson, Mark
    • Journal of the Korean Magnetics Society
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    • v.17 no.4
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    • pp.166-171
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    • 2007
  • We report the magneto-transport properties of an individual single crystalline Bi nanowire grown by a spontaneous growth method. We have successfully fabricated a four-terminal device based on an individual 400-nm-diameter nanowire using plasma etching technique to remove an oxide layer forming on the outer surface of the nanowire. The transverse MR (2496% at 110 K) and longitudinal MR ratios (38% at 2 K) for the Bi nanowire were found to be the largest known values in Bi nanowires. This result demonstrates that the Bi nanowires grown by the spontaneous growth method are the highest-quality single crystalline in the literatures ever reported. We find that temperature dependence of Fermi energy ($E_F$) and band overlap (${\triangle}_0$) leads to the imbalance between electron concentration ($n_e$) and hole concentration ($n_h$) in the Bi nanowire, which is good agreement with the calculated $n_e\;and\;n_h$ from the respective density of states, N(E), for electrons and holes. We also find that the imbalance of $n_e\;and\;n_h$ plays a crucial role in determining magnetoresistance (MR) at T<75 K for $R_T$ and at T<205 K for $R_L$, while mean-free path is responsible for MR at T>75 K for $R_T$ and T>205 K for $R_L$.

Changes in the Functional Components of Lactobacillus acidophilus-Fermented Red Ginseng Extract and Its Application to Fresh Cheese Production (Lactobacillus acidophilus로 발효한 홍삼 농축액의 기능성 성분 변화 및 이를 이용한 신선치즈 제조)

  • Park, Jong-Hyuk;Moon, Hye-Jung;Oh, Jeon-Hui;Lee, Joo-Hee;Jung, Hoo-Kil;Choi, Kyung-Min;Cha, Jeong-Dan;Lim, Ji-Ye;Han, Su-Beom;Lee, Tae-Bum;Lee, Min-Jung;Choi, Hye-Ran
    • Journal of Dairy Science and Biotechnology
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    • v.32 no.1
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    • pp.47-53
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    • 2014
  • In this study, our aim was to investigate the changes in ginsenosides and polyphenols in red ginseng extract fermented by Lactobacillus acidophilus and to manufacture fresh cheese using fermented red ginseng extract. Red ginseng extract (3%, w/v) was fermented by L. acidophilus for 24 h. On performing lactic acid bacteria counts, we determined that L. acidophilus reached its maximum growth phase after 16 h; this was followed by decrease in growth. During fermentation, the levels of ginsenosides Rg3 (20S) and Rg3 (20R) as well as protopanaxadiol (20R), F1, and compound K increased, while those of s Rb2, Rd, Rf, and Rg1 decreased. The pH, titratable acidity, and viable cell counts in fresh cheese prepared using fermented red ginseng extract were measured during the storage period. The pH decreased over time, while titratable acidity and viable cell counts increased with increase in the duration of the storage period. Sensory tests showed that the overall sensory properties of fresh cheese prepared using 1% fermented red ginseng extract were similar to those of the control groups. This result suggests that L. acidophilus-fermented red ginseng has potential for development as a new bioactive material.

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Comparison of Intensity Modulated Radiation Therapy Dose Calculations with a PBC and AAA Algorithms in the Lung Cancer (폐암의 세기조절방사선치료에서 PBC 알고리즘과 AAA 알고리즘의 비교연구)

  • Oh, Se-An;Kang, Min-Kyu;Yea, Ji-Woon;Kim, Sung-Hoon;Kim, Ki-Hwan;Kim, Sung-Kyu
    • Progress in Medical Physics
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    • v.23 no.1
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    • pp.48-53
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    • 2012
  • The pencil beam convolution (PBC) algorithms in radiation treatment planning system have been widely used to calculate the radiation dose. A new photon dose calculation algorithm, referred to as the anisotropic analytical algorithm (AAA), was released for use by the Varian medical system. The aim of this paper was to investigate the difference in dose calculation between the AAA and PBC algorithm using the intensity modulated radiation therapy (IMRT) plan for lung cancer cases that were inhomogeneous in the low density. We quantitatively analyzed the differences in dose using the eclipse planning system (Varian Medical System, Palo Alto, CA) and I'mRT matirxx (IBA, Schwarzenbruck, Germany) equipment to compare the gamma evaluation. 11 patients with lung cancer at various sites were used in this study. We also used the TLD-100 (LiF) to measure the differences in dose between the calculated dose and measured dose in the Alderson Rando phantom. The maximum, mean, minimum dose for the normal tissue did not change significantly. But the volume of the PTV covered by the 95% isodose curve was decreased by 6% in the lung due to the difference in the algorithms. The difference dose between the calculated dose by the PBC algorithms and AAA algorithms and the measured dose with TLD-100 (LiF) in the Alderson Rando phantom was -4.6% and -2.7% respectively. Based on the results of this study, the treatment plan calculated using the AAA algorithms is more accurate in lung sites with a low density when compared to the treatment plan calculated using the PBC algorithms.

An Analysis of Inquiry Activities in Chemistry II Textbook by Using 3-Dimensional Analysis Framework (3차원 분석틀을 이용한 화학II 교과서의 탐구활동 분석)

  • Seok Hee Lee;Yong Keun Kim;Seong Bae Moon
    • Journal of the Korean Chemical Society
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    • v.47 no.4
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    • pp.391-400
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    • 2003
  • This study was performed the analysis of seven kinds of the hight school chemistry II textbooks based on the 6th curriculum. Particularly, inquiry activity part was analyzed by the three dimension framework which consists of inquiry content dimension, inquiry process dimension and inquiry context dimension. In the analysis of the inquiry content dimension of inquiry activities, the total number of themes in seven kinds of textbook was 212. And the number of inquiry activities in seven kinds of textbook was diverse: A textbook had 28, B textbook 25, C textbook 31, D textbook 35, E textbook 31, F textbook 29 and G textbook 33. As for the avaerage number of inquiry activities of each chapter, chapter I "Material Science" is 3.00(9.91${\%}$), chapter II "Atomic Structure and Periodic Table" 4.57(15.1${\%}$), chapter III "Chemical Bonding and Compound" 6.86(22.6${\%}$), chapter IV "State of Matter and Solution" 7.00(23.1${\%}$), chapter V "Chemical Reaction" 8.86(29.2${\%}$). For the analysis of inquiry process dimension, it follows in the order of 'observation and measuring (66.7${\%}$)', 'Interpreting data and formulating generalizations (26.5${\%}$)', 'seeing a problem and seeking ways to solve it (4.1%)', and 'building, testing and revising the theoretical model (2.7${\%}$)'. As for the analysis of the inquiry context dimension, the scientific context occupied 90.5${\%}$, the individual context 4.3${\%}$, the social context 0.9${\%}$, and the technical context 4.3${\%}$. It shows that the proportion of STS(Science-Technology-Society) related contents in inquiry activities was only 9.5${\%}$.