• Title/Summary/Keyword: 빛의 반사

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Unveiling the Potential: Exploring NIRv Peak as an Accurate Estimator of Crop Yield at the County Level (군·시도 수준에서의 작물 수확량 추정: 옥수수와 콩에 대한 근적외선 반사율 지수(NIRv) 최댓값의 잠재력 해석)

  • Daewon Kim;Ryoungseob Kwon
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.25 no.3
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    • pp.182-196
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    • 2023
  • Accurate and timely estimation of crop yields is crucial for various purposes, including global food security planning and agricultural policy development. Remote sensing techniques, particularly using vegetation indices (VIs), have show n promise in monitoring and predicting crop conditions. However, traditional VIs such as the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) have limitations in capturing rapid changes in vegetation photosynthesis and may not accurately represent crop productivity. An alternative vegetation index, the near-infrared reflectance of vegetation (NIRv), has been proposed as a better predictor of crop yield due to its strong correlation with gross primary productivity (GPP) and its ability to untangle confounding effects in canopies. In this study, we investigated the potential of NIRv in estimating crop yield, specifically for corn and soybean crops in major crop-producing regions in 14 states of the United States. Our results demonstrated a significant correlation between the peak value of NIRv and crop yield/area for both corn and soybean. The correlation w as slightly stronger for soybean than for corn. Moreover, most of the target states exhibited a notable relationship between NIRv peak and yield, with consistent slopes across different states. Furthermore, we observed a distinct pattern in the yearly data, where most values were closely clustered together. However, the year 2012 stood out as an outlier in several states, suggesting unique crop conditions during that period. Based on the established relationships between NIRv peak and yield, we predicted crop yield data for 2022 and evaluated the accuracy of the predictions using the Root Mean Square Percentage Error (RMSPE). Our findings indicate the potential of NIRv peak in estimating crop yield at the county level, with varying accuracy across different counties.

Implementation of a Counterfeit Notes Detection Method using IR Sensor (적외선(IR) 센서를 이용한 위폐 감별 방법 구현)

  • Kim, Sun-Gu;Kang, Byeong-Gwon
    • Journal of Digital Convergence
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    • v.11 no.8
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    • pp.191-197
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    • 2013
  • In this paper, we implemented a paper currency recognition system using IR(infrared) sensor. The system has 32 channel IR sensor to measure the reflection and penetration quantity of light. The IR image of paper currency of 10-bit gray scale is used to differentiate the real and counterfeit paper currency with image information from 0 to 4095. The characteristics of IR image are recognized by brightness and darkness and the positions of bright and dark portions are different between real and counterfeit paper currency. The price of IR sensors were relatively high, however, it is good price in these days due to mass production to apply to counterfeit detection area. We used a software table having the IR characteristics of real paper currency to compare with the IR images of the input paper currency. The performance of the implemented system shows 1-2% error rates for Euro real paper currency and 0% error rates for various counterfeit paper currencies of several countries.

Robust Depth Measurement Using Dynamic Programming Technique on the Structured-Light Image (구조화 조명 영상에 Dynamic Programming을 사용한 신뢰도 높은 거리 측정 방법)

  • Wang, Shi;Kim, Hyong-Suk;Lin, Chun-Shin;Chen, Hong-Xin;Lin, Hai-Ping
    • Journal of Internet Computing and Services
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    • v.9 no.3
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    • pp.69-77
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    • 2008
  • An algorithm for tracking the trace of structured light is proposed to obtain depth information accurately. The technique is based on the fact that the pixel location of light in an image has a unique association with the object depth. However, sometimes the projected light is dim or invisible due to the absorption and reflection on the surface of the object. A dynamic programming approach is proposed to solve such a problem. In this paper, necessary mathematics for implementing the algorithm is presented and the projected laser light is tracked utilizing a dynamic programming technique. Advantage is that the trace remains integrity while many parts of the laser beam are dim or invisible. Experimental results as well as the 3-D restoration are reported.

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투명전극용 박막의 제작과 전기적인 특성에 대한 연구

  • O, Teresa
    • Proceedings of the Materials Research Society of Korea Conference
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    • 2011.10a
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    • pp.42.1-42.1
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    • 2011
  • 박막형 디스플레이구서에 있어서 투명전극은 필수적이다. 투명전극은 정보를 표시하기 위해 빛을 외부로 방출시키거나 태양광 등을 소자 내부로 입사시켜야 한다. 또한 전극을 형성하는 박막은 높은 광투과율과 ${\sim}10-4{\Omega}cm$ 정도의 낮은 전기비저항을 가져야 한다. 가장 널리 사용되는 투명전극으로 ITO (Indium Tin Oxide)는 인듐의 독성, 저온증착의 어려움, 스퍼터링시 음이온 충격에 의한 막 손상으로 저항의 증가 및 액정디스플레이의 투명전극으로 사용될 경우 $400^{\circ}C$정도의 높은 온도와 수소플라즈마 분위기에서 장시간 노출시 열화로 인한 광학적 특성변화가 문제로 지적된다. 이러한 문제 해결의 대안으로 ZnO 산화물 반도체가 있는데 ITO 박막에 비해 비저항이 높기 때문에 도핑을 이용한 비저항을 ${\sim}10-4{\Omega}cm$ 정도로 낮추어야 한다. 투명전도막으로는 ITO, FTO 등과 더블어 체적 저항율은 다소 높으나 환원성 분위기에 대한 내성, 가시광 영역에서의 높은 광투과율과 저렴한 가격 등의 장점 등으로 AZO 박막이 주목 받고 있다. ZnO는 ITO 나 FTO에 비해서 700 kJ/mol의 큰 분해에너지를 가지므로 코팅 때 발생하는 전도도 및 투과율이 나빠지는 현상이 발생하지 않는 특징이 있으며, 위의 두 재료에 비해 밴드갭도 가장 낮아서 자외선 투과율이 낮다. 그러나 내습성이 약하기 때문에 이를 보완하기 위하여 내습성향상과 전도성 향상을 위해서 3족 원소인 B, In, Al, Ga 등을 도핑한 ZnO 투명전도막의 연구가 진행되고 있다. 이러한 원소들 중에서 Al로 도핑했을 때 가장 낮은 비저항을 얻을 수 있다고 알려져 있다. 본 연구에서는 SiOC 박막위에 AZO 박막을 제조하기 위하여 RF 마그네트론 스퍼터링법을 이용하여 박막을 성장시켰으며, 박막의 전기적 및 광학적 특성을 조사하였다. AZO 박막은 rf power가 5~200 W인 RF 마그네트론 스퍼터 방법에 의해서 제작되었다. SiOC 박막은 산소와 DMDMOS 전구체의 유량비를 다르게 하여 플라즈마 발생 화학적 기상 증착방법으로 증착되었다. 증착된 SiOC박막은 UV visible spectroscopy에 의해서 분석하였다. 투명전극의 비저항은 rf 전력이 작을 수록 낮았으며, SiOC 절연막 위에 AZO를 증착시킨 후 반사률은 반대로 바뀌는 것을 확인하였다.

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A Case of Portosystemic Shunt in a Domestic Shorthair Cat (한국 집고양이의 문맥전신션트 한 증례)

  • Cho, Eunkwang;Jeong, Ye Chan;Choi, Ul Soo
    • Journal of Veterinary Clinics
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    • v.31 no.4
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    • pp.316-318
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    • 2014
  • A 3-year-old castrated male domestic shorthair cat was presented with a chief complaint of sudden onset of intermittent seizures occurring five times a day. Physical examination revealed the copper colored iris and loss of menace response at both eyes. Abnormalities of blood works and serum chemistry revealed mild erythrocytosis, severe microcytosis, and threefold increase in ALT activity. Additional liver function tests results were increased bile acid and $NH_3$ concentration. Radiographic study revealed multifocal nodules of the liver and an extrahepatic shunt was noted by ultraonography, which was confirmed by computed tomography as multiple extrahepatic shunts. The cat was scheduled for surgery applying an ameloid ring to occlude the shunt gradually. Diazepam and lactulose were instituted to the patient. However, clinical signs worsened despite medical management with shortened interval of seizures and the patient died due to cardiac arrest.

Phase Noise Filtering in Interferometer Using the Characteristic of SPPCM of $BaTiO_3$ ($BaTiO_3$의 SPPCM 특성을 이용한 간섭계의 위상 잡음 제거)

  • Han, Jeong-Yeop;Kim, Seong-Wan;Kim, Jong-Yun;Park, Se-Jun;Kim, Cheol-Su;Kim, Su-Jong
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.38 no.2
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    • pp.122-127
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    • 2001
  • The high stability of the interference pattern is very important in the case of measuring interference when a phase noise like a vibration occurs in the measuring environment. In this paper, we proposed the method of phase noise filtering by BaTiO$_3$ with the characteristic of SPPCM. Also, a beam with a shape of an ellipse was incident into BaTiO$_3$ by using the tilted lens so as to improve the reflectivity and the response time. And we confirmed the result by optical experiment.

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A Study on the Improvement of Automatic Text Recognition of Road Signs Using Location-based Similarity Verification (위치기반 유사도 검증을 이용한 도로표지 안내지명 자동인식 개선방안 연구)

  • Chong, Kyusoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.18 no.6
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    • pp.241-250
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    • 2019
  • Road signs are guide facilities for road users, and the Ministry of Land, Infrastructure and Transport has established and operated a system to enhance the convenience of managing these road signs. The role of road signs will decrease in the future autonomous driving, but they will continue to be needed. For the accurate mechanical recognition of texts on road signs, automatic road sign recognition equipment has been developed and it has applied image-based text recognition technology. Yet there are many cases of misrecognition due to irregular specifications and external environmental factors such as manual manufacturing, illumination, light reflection, and rainfall. The purpose of this study is to derive location-based destination names for finding misrecognition errors that cannot be overcome by image analysis, and to improve the automatic recognition of road signs destination names by using Levenshtein similarity verification method based on phoneme separation.

Laser Speckle Imaging Using Adaptive Windowing Method (적응 윈도우 기법을 사용한 레이저 스펙클 영상의 처리)

  • Jin, Ho-Young;Shin, Hyun-Chool
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.47 no.1
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    • pp.97-102
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    • 2010
  • A laser speckle is a random pattern that has a granular appearance produced by reflected light when a coherent laser illuminates an irregular course surface. Most important property of laser speckle is detecting micro-vascular. Speckle image needs image processing to detect micro-vascular. This paper proposes a new image processing method for laser speckle, adaptive window method that adaptively processes laser speckle images in the spatial. Conventional fixed window based LASCA has shortcoming in that it uses the same window size regardless of target areas. Inherently laser speckle contains undesired noise. Thus a large window is helpful for removing the noise but it results in low resolution of image. Otherwise a small window may detect micro vascular but it has limits in noise removal. To overcome this trade-off, we newly introduce the concept of adaptive window method to conventional laser speckle image analysis. We have compared conventional LASCA and its variants with the proposed method in terms of image quality and processing complexity.

Observation of the Preionization effect and Operational Characteristics of a Nitrogen Laser by a Pulse type high Voltage Power Supply (펄스형 고전압 전원에 의한 선전리 현상의 관측과 질소레이저의 동작 특성)

  • Lee, Bong-Yeon
    • Korean Journal of Optics and Photonics
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    • v.17 no.1
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    • pp.60-67
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    • 2006
  • We constructed a TEA $N_2$ laser which consists of spark gap, pulse type high voltage power supply, Blumlein transmission line circuit, laser tube with Ernst electrode. We observed the self-preionization with an optical fiber in the spark gap and laser tube. The higher voltage power supplied to the Blumlein transmission line circuit, the better preionization was. An U-type transformer yielded better stability and output power than an I-type transformer. The discharge time after triggering a spark gap for the U-type transformer was also short. We obtained the stability of $2.7\%$ and output power of $36{\mu}J$ when the optimum conditions of the laser operation were spark gap distance of 6.0 mm, electrode distance in laser tube of 5.0 mm, $N_2$ gas flow rate in spark gap of 1500 cc/min, $N_2$ gas flow rate in laser tube of 4 ${\iota}$/min, output window reflectivity of $40\%$ and repetition rate of 10 Hz.

Three-dimensional Geometrical Scanning System Using Two Line Lasers (2-라인 레이저를 사용한 3차원 형상 복원기술 개발)

  • Heo, Sang-Hu;Lee, Chung Ghiu
    • Korean Journal of Optics and Photonics
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    • v.27 no.5
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    • pp.165-173
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    • 2016
  • In this paper, we propose a three-dimensional (3D) scanning system based on two line lasers. This system uses two line lasers with different wavelengths as light sources. 532-nm and 630-nm line lasers can compensate for missing scan data generated by geometrical occlusion. It also can classify two laser planes by using the red and green channels. For automatic registration of scanning data, we control a stepping motor and divide the motor's rotational degree of freedom into micro-steps. To this end, we design a control printed circuit board for the laser and stepping motor, and use an image processing board. To compute a 3D point cloud, we obtain 200 and 400 images with laser lines and segment lines on the images at different degrees of rotation. The segmented lines are thinned for one-to-one matching of an image pixel with a 3D point.