• 한국수산과학회지
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• 제36권6호
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• pp.601-605
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• 2003

This study investigated the effect of dietary pigment sources on growth and shell color of juvenile abalone(Haliotis discus hannai). Three replicate groups of the abalone (average weight 173 mg) were fed diets containing various pigment sources such as Porphyra powder, Spirulina, yeast astaxanthin, and paprika extract for 16 weeks. Survival and weight gain were not affected by dietary pigment sources (P>0.05). Shell color of abalone fed diets containing Porphyra powder and Spirulina approached the yellow-red and orange, colors similar to wild abalone. However, shell color of abalone fed the diets containing yeast astaxanthin and paprika extract were similar to the bright green control group. These results should be useful for changing the shell color of abalone in aquaculture.

• 센서학회지
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• 제27권6호
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• pp.392-396
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• 2018

Structural color has many advantages over pigment based color. In recent years, researches are being conducted to apply these advantages to applications such as wearable devices. In this study, strain sensor, a kind of wearable device, was developed using structural color. The use of structural color has the advantage of not using energy and complex measuring equipment to measure strain rate. Wrinkle structure was fabricated on the surface of Poly-dimethylsiloxane (PDMS) and used it as a sensor which color changes according to the applied strain. In addition, a transmittance-changing sensor was developed and fabricated by synthesizing additional glass nanoparticles. Furthermore, a strain sensor was developed that is largely transparent at the target strain and opaque otherwise.

• International journal of advanced smart convergence
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• 제9권4호
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• pp.203-208
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• 2020

In this paper, we propose the design and implementation of a desktop LED stand and smart app that automatically adjusts color temperature and illuminance for optimal brightness and eye health by improving the structural problem of the LED stand. It is a tabletop LED stand that supports optimal brightness through color temperature control and heat transfer through infrared LED to relieve eye strain through blood circulation and muscle movement. The LED stand works with the smartphone to automatically adjust the optimal brightness and color temperature for the user's environment. In addition, the brightness of the infrared LED is adjusted to a living frequency of 4Hz to relax the eye muscles and reduce eye strain. This study implemented an effective measured data-based system of previous studies through the color temperature and illumination of LED lighting, and near-infrared rays, and presented meaningful results by conducting an experiment to prove the effect through subjects.

• 대한산업공학회지
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• 제16권2호
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• pp.11-21
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• 1990

With a general trend toward larger and more complex systems with centralized control, an operator's role of supervisory decision making in the control room becomes more important. Identification of potential man-machine interface (MMI) problems with CRT-based process control systems was attempted using a structured questionnaire survey. Based on the survey results, a laboratory experiment was carried out to investigate the performance of alarm detection on a process control CRT display. The user performance was measured in terms of reaction time from the onset of an alarm sound until the completion of predefined response procedures. The results revealed that for a highly complex tasks, mean reaction time ($\bar{RT}$) with a color consistent display was 10.5% faster than that with the original display, and $\bar{RT}$ with a grouped display was reduced by 8.2% in comparison with the color consistent display.

• Journal of information and communication convergence engineering
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• 제21권1호
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• pp.45-53
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• 2023

This study constructs various scenarios required for landscape lighting; furthermore, a large-capacity general-purpose multifunctional controller is designed and implemented to validate the operation of the various scenarios. The multi-functional controller is a large-capacity general-purpose controller composed of a drive and control unit that controls the scenarios and colors of LED modules and an LED display unit. In addition, we conduct a computer simulation by designing a control system to represent the most appropriate color according to the input values of the temperature, illuminance, and humidity, using the neuro-control system. Consequently, when examining the result and output color according to neuro-control, unlike existing crisp logic, neuro-control does not require the storage of many data inputs because of the characteristics of artificial intelligence; the desired value can be controlled by learning with learning data.

• 산업경영시스템학회지
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• 제43권1호
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• pp.16-25
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• 2020

Vegetation segmentation in a field color image is a process of distinguishing vegetation objects of interests like crops and weeds from a background of soil and/or other residues. The performance of the process is crucial in automatic precision agriculture which includes weed control and crop status monitoring. To facilitate the segmentation, color indices have predominantly been used to transform the color image into its gray-scale image. A thresholding technique like the Otsu method is then applied to distinguish vegetation parts from the background. An obvious demerit of the thresholding based segmentation will be that classification of each pixel into vegetation or background is carried out solely by using the color feature of the pixel itself without taking into account color features of its neighboring pixels. This paper presents a new pixel-based segmentation method which employs a multi-layer perceptron neural network to classify the gray-scale image into vegetation and nonvegetation pixels. The input data of the neural network for each pixel are 2-dimensional gray-level values surrounding the pixel. To generate a gray-scale image from a raw RGB color image, a well-known color index called Excess Green minus Excess Red Index was used. Experimental results using 80 field images of 4 vegetation species demonstrate the superiority of the neural network to existing threshold-based segmentation methods in terms of accuracy, precision, recall, and harmonic mean.

• 전자공학회논문지SC
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• 제40권6호
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• pp.78-86
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• 2003

텍스트 모드에서 흑백 데이터를 컬러 데이터로 변환시킬 때 하드웨어적인 방법을 이용하여 실시간적으로 변환할 수 있는 회로를 설계 및 구현하였다. Color Palette ROM에 화면을 구성하는 모든 페이지에 해당되는 색상 정보를 저장한다. 이 색상 정보는 8비트 단위로 출력이 되며 하위 4비트는 전경색, 상위 4비트는 배경색을 가지도록 지정한다. Address Reduction ROM을 두어 중복되는 어드레스를 배제하여 Color Palette ROM의 용량을 1/16로 감소시킬 수 있도록 하였으며, 다수 개의 D-FF을 두어 어드레스와 데이터 그리고 페이지 정보를 임시로 저장한 후에, Counter를 통해 실시간에 8회의 처리과정을 거친 후 Multiplex에서 전경색과 배경색을 구분하여 컬러 비디오 컨트롤러에 색상 정보를 보내도록 설계하였다. 기존의 흑백 LCD 디스플레이를 사용하고 있는 각종 제어장치 설비를 컬러로 변환함에 있어서 용이한 실시간 인터페이스로 활용될 것이다.

• Applied Biological Chemistry
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• 제22권1호
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• pp.18-23
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• 1979

고춧가루의 품질(品質)을 평가(評價)할 수 있는 객관적(客觀的) 기준(基準)을 마련하기 위하여 고춧가루의 외관색도(外觀色度), 적색소(赤色素)인 capsanthin의 함량(含量)및 coliform bacteria의 오염도와의 관계를 연구(硏究)한 결과 다음과 같았다. 1. 고춧가루의 육안판별방법(肉眼判別方法)은 개인간(個人間)의 색감(色感)의 차이(差異)로 인(因)하여 객관성(客觀性)이 없었다. 2. Capsanthin 함량(含量)에 따라 분류한 등급방법(等級方法)은 객관성(客觀性)을 보였으며 고춧가루의 품질평가(品質評價)에 기준(基準)이 될 수 있었고 외관색도(外觀色度)는 이 capsanthin 함량(含量)에 비례(比例)하였다. 3. 고춧가루의 외관색도(外觀色度)는 색도계(色度計)의 Hunter 값 a/b을 사용하여 수치(數値)로 표현(表現)할 수 있었으며 capsanthin의 함량(含量)과의 관계는 다음 식과 같으며 Capsanthin 함량(含量) (mg/g-고춧가루)=$0.257{\times}10^{0.703}(a/b)$ 고춧가루의 품질평가(品質評價)의 방법(方法)으로 응용(應用)할 수 있다. 4. 색도(色度)와 미생물(微生物)의 오염과의 관계는 명확(明確)하지 않았다.

• 조명전기설비학회논문지
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• 제29권11호
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• pp.6-17
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• 2015

In this paper, colors of broadcast lightings composed of Red, Green, and Blue LED(Light Emitted Diode) can be linearly and quantitatively controlled in low illuminance. Because LED cannot emit uniform illuminance in low illuminance, the colors of RGB LED are unmixable. Furthermore, the illuminances are nonlinear with the dimming values of the RGB LED due to the nonlinearity of the output illuminance with the current through the LED. This nonlinearity generated errors of the target colors and illuminances. The proposed algorithm set up the target colors, which is expressed by the color coordinates in CIE 1931 color space, and the target illuminances. Then the illuminances of RGB LED were calculated using color mixing theory. The calculated illuminances determined the dimming values of the RGB LED for transmission via DMX512 communication. After the broadcasting lighting received the dimming values of the RGB LED via DMX512 communication,.RGB LED can emit target color and illuminance, and be controlled by calculating the PWM(Pulse Width Modulation) duty ratio of the hybrid LED driver which be considered the nonlinearity for the illuminances of the LED. As a result, the proposed algorithm can linearly and quantitatively control the colors and illuminances in full range of illuminance. Then we verify experimentally that the errors of the emitted color coordination x, y and illuminance are 2.27%, 3.6% and 1.5%, respectively.

• 한국정보통신학회논문지
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• 제12권11호
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• pp.2083-2090
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• 2008

본 논문에서는 에너지 절약을 위한 방법으로 냉방기의 적정 온도 및 풍향을 제어하기 위하여 열 영상과 퍼지 추론 규칙을 적용한 온도 및 풍향 제어 기법을 제안한다. 온도 제어를 위한 시뮬레이션에서는 열 영상을 분석하기 위해서 영상을 $300{\times}400$의 크기를 가지는 색상 분포 영상으로 변환한다. 색상 분포 영상은 Red, Magenta, Yellow, Green, Cyan, Blue의 온도 값을 가지는 R,G, B 값으로 구성된다. 각 색상은 $24.0^{\circ}C$에서 $27.0^{\circ}C$의 분포의 온도 값을 가지며, 색상 분포 영상은 레벨 1에서 레벨 10의 높이 계층으로 분류한다. 분류된 각 계층은 고유의 색상 분포도를 가지며 색상이 가지는 온도 수치에 따라 계층별로 온도 값이 할당된다. 실내 공간의 전체적인 온도의 균형과 풍향을 제어하는 과정은 다음과 같다. 풍향의 방향 및 지속 시간, 그리고 풍향의 강도를 구하기 위한 색상 분포 영상의 온도 및 높이 값을 적용하여 퍼지 소속 함수를 설계한 후, 소속 함수의 소속도를 구하고 퍼지 추론 규칙을 적용하여 풍향의 강도를 구한다.