• Title/Summary/Keyword: 광통신시스템

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Measurement of Anthocyanin Accumulations in Multiple Seedling Plants Using Hyperspectral Imaging Technology (초분광 기술을 이용한 다수의 유묘 내 안토시아닌 함량 측정)

  • Kim, Hyo-suk;Chung, Youngchul
    • Korean Journal of Optics and Photonics
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    • v.32 no.5
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    • pp.215-219
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    • 2021
  • Recently a system for nondestructive measurement of seedling plants in real time has been attracting attention as an essential element in fields such as the "smart farm". This study reports the simultaneous measurement of anthocyanin accumulations in leaf tissues in a large number of bok choy, using a hyperspectral imaging system. To measure many seedlings simultaneously, an existing hyperspectral imaging system is modified. In this paper, a total of 96 seedlings are measured: 24 each of 4 cultivars. Using the hyperspectral data-acquisition system, 12 seedlings can be analyzed simultaneously within 3 minutes. The hyperspectral imaging technology proposed in this paper is shown to provide an analytic system comparable to destructive chemical analysis. This hyperspectral imaging technology can be applied to a high-throughput plant-phenotyping system, owing to its capability of measuring a large number of specimens at the same time.

Evaluation of illuminant effect of NIR(Near Infrared Radiation) using spectrophotometer for medicine (의학용 분광광도계를 이용한 근적외선 대역의 조명 영향평가)

  • Lee, Sangsik
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.3 no.4
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    • pp.16-22
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    • 2010
  • In this paper, we evaluated the effect with respect to the light of 700-1,100 nm NIR(near infrared radiation) for spectrophotometer. Standard, red, yellow, green and blue color paper which was Munsell color paper were used for experiments. Our used light is incandescent lamp, fluorescent lamp, invert fluorescent lamp and combined lamp. Each color paper was measured 20 times. Therefore we concluded that it is possible to build a spectrophotometer for NIR(near infrared radiation) measurement we applied an spectrophotometer to measurement system in incandescent lamp.

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Dual Image Sensor and Image Estimation Technique for Multiple Optical Interference Cancellation in High Speed Transmission Visible Light Communication Environment (고속 전송 가시광통신 환경에서의 다중 광 간섭 제거를 위한 듀얼 이미지 센서 및 이미지 추정기법)

  • Han, Doohee;Lee, Kyujin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.480-483
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    • 2018
  • In this paper, we study the interference canceling and image sensing processing technology of multiple light sources for high speed transmission in CMOS sensor based visible light communication system. To improve transmission capacity in optical camera communications via image sensors, different data must be transmitted simultaneously from each LED. However, multiple LED light source environments for high-speed transmission can cause interference between adjacent LEDs. In this case, since the visible light communication system generally uses intensity modulation, when a plurality of LEDs transmit data at the same time, it is difficult to accurately detect the respective LEDs due to the light scattering interference of the adjacent LEDs. In order to solve this problem, the ON / OFF state of many LEDs of the light source is accurately recognized by using a dual CMOS sensor, and the spectral estimation technique and the pixel image signal processing technique of each LED are proposed. This technique can accurately recognize multiple LED pixels and improve the total average bit error rate and throughput of a MISO-VLC system.

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Intelligent Prediction System for Diagnosis of Agricultural Photovoltaic Power Generation (영농형 태양광 발전의 진단을 위한 지능형 예측 시스템)

  • Jung, Seol-Ryung;Park, Kyoung-Wook;Lee, Sung-Keun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.5
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    • pp.859-866
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    • 2021
  • Agricultural Photovoltaic power generation is a new model that installs solar power generation facilities on top of farmland. Through this, it is possible to increase farm household income by producing crops and electricity at the same time. Recently, various attempts have been made to utilize agricultural solar power generation. Agricultural photovoltaic power generation has a disadvantage in that maintenance is relatively difficult because it is installed on a relatively high structure unlike conventional photovoltaic power generation. To solve these problems, intelligent and efficient operation and diagnostic functions are required. In this paper, we discuss the design and implementation of a prediction and diagnosis system to collect and store the power output of agricultural solar power generation facilities and implement an intelligent prediction model. The proposed system predicts the amount of power generation based on the amount of solar power generation and environmental sensor data, determines whether there is an abnormality in the facility, calculates the aging degree of the facility and provides it to the user.