• Title/Summary/Keyword: 광데이터

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A Study on RGB LED Control and material analysis for transmit wireless optical information using 64#x0078;64 Matrix based indoor and outdoor LED signage (64x64형 옥내외 LED 전광판 사이니지에 접목 가능한 무선광통신용 RGB LED 제어 및 소재분석 연구)

  • Lee, Min-Woo;Lee, Beom-Hee;Cha, Jae-Sang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2017.11a
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    • pp.92-93
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    • 2017
  • 최근 IT 및 사이니지 기술을 포함한 여러 기술의 발전 형태가 융복합적 기술의 방향으로 전환됨으로서, 기술 간 장벽이 허물어지고, 상호 연관성을 갖게 됨에 따라 사이니지 및 IT기술이 접목된 새로운 융복합 기술에 대한 연구가 지속적으로 이루어지고 있다. 특히, LED 광원의 일종인 사이니지를 이용하여 광 데이터를 전송할 수 있는 기술에 대한 연구가 학계, 연구소 및 관련 산업체 등에서 지속적으로 진행되고 있는 상황이다. 이에 본 논문에서는 LED 전광판 사이니지를 이용하여 무선광통신이 용이한 LED 소재에 대한 연구를 진행하였다. LED 전광판 사이니지를 이용한 무선광통신 기술은 LED 광원이 지닌 특성을 토대로 RF방식 대비 높은 주파수 대역과 고속의 데이터 전송이 가능하기 때문에 높은 잠재력과 파급력을 통하여 무선통신 분야에서의 새로운 통신 척도로 활용될 수 있을 것으로 예상된다.

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A Study on Tissue Reflectance Spectrometry (생체조직의 반사 분광법에 관한 연구)

  • 임현수;김부길
    • Progress in Medical Physics
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    • v.7 no.1
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    • pp.25-35
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    • 1996
  • Optical measurements of turbid biological tissue have provided a means to study tissue metabolism, tissue blood perfusion and blood oxygenation non-invasively. We used the red light of 660nm and infrared of 880nm to measure the blood fractional volume and oxygen saturation of biological tissue. In vivo reflectance data were obtained the physiological change from the deep tissue in human subject. The data evaluation was assessed by examining the slopes of the plotter index for the changes in oxygen saturation and blood fraction volume. The index is the natural logarithm of the ratio of reflected light intensity from measured medium to reference intensity at each wavelength. According to the experimental results, oxygen index changes significantly in the muscle of calf during exercise.

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The Development of the Short-Term Predict Model for Solar Power Generation (태양광발전 단기예측모델 개발)

  • Kim, Kwang-Deuk
    • Journal of the Korean Solar Energy Society
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    • v.33 no.6
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    • pp.62-69
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    • 2013
  • In this paper, Korea Institute of Energy Research, building integrated renewable energy monitoring system that utilizes solar power generation forecast data forecast model is proposed. Renewable energy integration of real-time monitoring system based on monitoring data were building a database and the database of the weather conditions and to study the correlation structure was tailoring. The weather forecast cloud cover data, generation data, and solar radiation data, a data mining and time series analysis using the method developed models to forecast solar power. The development of solar power in order to forecast model of weather forecast data it is important to secure. To this end, in three hours, including a three-day forecast today Meteorological data were used from the KMA(korea Meteorological Administration) site offers. In order to verify the accuracy of the predicted solar circle for each prediction and the actual environment can be applied to generation and were analyzed.

Correlation Analysis between solar power generation and weather variables (태양광 발전량과 기상변수간 상관관계 분석)

  • Yoo, Hyun-jae;Gong, Seung-jun;Kim, Jong-min
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.704-706
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    • 2022
  • In this study, we analyzed the correlation between the amount of photovoltaic power generation and the factors of meteorological changes. A total of 52,561 data were used in the correlation analysis from January 2018 to January 2020, and the variables used in the correlation analysis were time, horizontal plane scattering solar radiation, direct solar radiation, wind velocity, and relative humidity. The temperature was used. Based on this data, we used the Google Colab platform to analyze the correlation, and the analysis revealed whether there was a correlation between solar power and meteorological change factors.

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Diagnosis of Nitrogen Content in the Leaves of Apple Tree Using Spectral Imagery (분광 영상을 이용한 사과나무 잎의 질소 영양 상태 진단)

  • Jang, Si Hyeong;Cho, Jung Gun;Han, Jeom Hwa;Jeong, Jae Hoon;Lee, Seul Ki;Lee, Dong Yong;Lee, Kwang Sik
    • Journal of Bio-Environment Control
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    • v.31 no.4
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    • pp.384-392
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    • 2022
  • The objective of this study was to estimated nitrogen content and chlorophyll using RGB, Hyperspectral sensors to diagnose of nitrogen nutrition in apple tree leaves. Spectral data were acquired through image processing after shooting with high resolution RGB and hyperspectral sensor for two-year-old 'Hongro/M.9' apple. Growth data measured chlorophyll and leaf nitrogen content (LNC) immediately after shooting. The growth model was developed by using regression analysis (simple, multi, partial least squared) with growth data (chlorophyll, LNC) and spectral data (SPAD meter, color vegetation index, wavelength). As a result, chlorophyll and LNC showed a statistically significant difference according to nitrogen fertilizer level regardless of date. Leaf color became pale as the nutrients in the leaf were transferred to the fruit as over time. RGB sensor showed a statistically significant difference at the red wavelength regardless of the date. Also hyperspectral sensor showed a spectral difference depend on nitrogen fertilizer level for non-visible wavelength than visible wavelength at June 10th and July 14th. The estimation model performance of chlorophyll, LNC showed Partial least squared regression using hyperspectral data better than Simple and multiple linear regression using RGB data (Chlorophyll R2: 81%, LNC: 81%). The reason is that hyperspectral sensor has a narrow Full Half at Width Maximum (FWHM) and broad wavelength range (400-1,000 nm), so it is thought that the spectral analysis of crop was possible due to stress cause by nitrogen deficiency. In future study, it is thought that it will contribute to development of high quality and stable fruit production technology by diagnosis model of physiology and pest for all growth stage of tree using hyperspectral imagery.

Photo-Sensorless Solar Tracking System based on Modular Structure and IoT Technology (모듈화 구조와 IoT 기반의 광센서리스 태양광 추적 시스템)

  • Kim, Dae-Won;Kim, Jeong-Tae;Chung, Gyo-Bum
    • Journal of IKEEE
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    • v.24 no.2
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    • pp.392-402
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    • 2020
  • This paper proposes a solar tracking system without photo-sensors. The system can be classified into four modules: Solar Tracking, MPPT, ESS, and Real-Time Monitoring. Nine solar panels, as a basic unit, are adopted with grid structures of different heights to reduce wind influence and to enable solar tracking without photo-sensors. The low-cost MCU implements MPPT method which generates PWM switching signal for boost converter. The unit of ESS consists of three-series and four-parallel lithium-ion batteries in order to enable monitoring for abnormalities in temperature and electrical characteristics of battery. Four MCUs used in the system consists of two AVR Atmega128, and two Raspberry PI, and they exchanges operation informations. Experimental results of the proposed system show the solar tracking performance, the possibility of on-site and remote monitoring and the convenience of maintenance based on IoT technology.

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.

Development of Data Glove using Image Processing (영상처리를 이용한 데이터 글러브의 구현)

  • 이일로;엄성은;안병하
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2291-2294
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    • 2003
  • 본 논문에서는 손목이나 손바닥 아래에 부착된 PC카메라와 두 개의 광원을 이용한 데이터 글러브 구현 방법을 제안한다 기존의 데이터 글러브 방식은 글러브를 손에 착용하여야 하는 단점이 있으며 영상처리 기반의 HCI 방법 또한 공간상에 고정된 카메라를 이용함으로써 웨어러블 컴퓨팅이나 모바일 환경하에서는 사용할 수 없다. 이 문제를 해결하기 위해 본 논문은 착용 가능한 한대의 카메라와 두 개의 평행 광을 사용하여 손 모양을 입력하는 방법을 제안하였다. 또한 손 영상을 제외한 배경영상을 이용하여 손의 변위를 얻어낼 수 있는 방법을 제안한다. 제안된 방법을 구현한 "BareHand 1.0"과 테스트 결과에 대해서도 논하였다.

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Design of Clock and Data Recovery Circuit for 622Mbps Optical Network (622Mbps급 광 통신망용 버스트모드 클럭/데이터 복원회로 설계)

  • Moon, Sung-Young;Lee, Sung-Chul;Moon, Gyu
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.2
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    • pp.57-63
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    • 2009
  • In this Paper, a novel 622Mbps burst-mode clock and data recovery (CDR) circuit is proposed for passive optical network (PON) applications. The CDR circuit is composed of CDR(Clock and Data Recovery) block and PLL(Phase Locked Loop) block. Lock dynamics is accomplished on the first data transition and data are sampled in the optimal point. The CDR circuit is realized in 0.35um CMOS process technology. With input pseudo-random bit sequences(PRBS) of $2^7-1$, the simulations show 17ps peak-to-peak retimed data jitter characteristics. The experimental results show that the proposed CDR circuits are operating as expected, recovering an incoming 622Mbps burst-mode input data without errors.

A Study of Watermarking Data Transmission Scheme for BPSK-OFDM Based LED Communication System (BPSK-OFDM 기반 LED 통신 시스템을 위한 워터마킹 데이터 전송 기법 연구)

  • Lee, Seung-Ho;Lee, Jung-Hoon;Cha, Jae-Sang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.10B
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    • pp.1246-1251
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    • 2011
  • In this paper, BPSK-OFDM-based LED communication systems are applied to watermarking techniques, were studied on how to transfer the additional information data with at the same time as the transfer of LED communication data. For watermarking kasami code was used as spreading codes, and spread additional data is controlled by small signal level to be BPSK-OFDM does not affect the optical signal. BPSK-OFDM is added to an optical signal is transmitted. The performance of the spreading code as a kasami code is autocorrelation of the noise-free environment, under the noise environment was confirmed by autocorrelation. BPSK-OFDM-based LED communication system has been applied proposed technique throughout the simulation in analyzed to BER of BPSK-OFDM DER performance and watermark signal level according to signal size level of data. That was availability confirmed for watermarking data transmit techniques data as being analysis detection performance of watermarking information using LED communication according to the code.