• 한국주거학회논문집
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• 제28권1호
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• pp.55-62
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• 2017

As fast-speed of aging in modern society has led to increased concern for aging and health improvement of senior citizens, desire about having healthy living-environment has also increased. Living space for senior citizens has to play role of healing for their body feature as well as decrease in mental and psychological function. Color, as important factor that supplements degenerated sense and coping ability caused by aging, it has been revealed through modern medical science that color is effective for making nervous or calming down when it is delivered to one's nerve through sight. The purpose of this study is to suggest basic resource for color arrangement palette of living space and application method by color therapy to improve seniors' mental health by considering psychological and physical features caused by aging. First, consider psychological and physical feature of seniors and color therapy effect through previous research. Second, extract RGB value after selecting color that is helpful for their mental health by using palette from 'Korea Agency for Technology and Standards'. Third, extract other 3 colors that are similar with extracted color from 'NCS 1950 Color System'. Fourth, deduct palette of 3 color arrangement by using 'NCS Navigator' program. Lastly, extract arrangement palette for them by considering difference in visual features, and then suggest arrangement application for each palette through Computer Simulation.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 춘계학술발표대회
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• pp.419-422
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• 2019

The recent increase in single-person households and family income has led to an increase in the number of pet owners. However, due to the owners' difficulty to communicate with them for 24 hours, pets, and especially dogs, tend to display unwanted behavior that can be harmful to themselves and their environment when left alone. Therefore, detecting those behaviors when the owner is absent is necessary to suppress them and prevent any damage. In this paper, we propose a camera-based system that detects a set of normal and unwanted behaviors using deep learning algorithms to monitor dogs when left alone at home. The frames collected from the camera are arranged into sequences of RGB frames and their corresponding optical flow sequences, and then features are extracted from each data flow using pre-trained VGG-16 models. The extracted features from each sequence are concatenated and input to a bi-directional LSTM network that classifies the dog action into one of the targeted classes. The experimental results show that our method achieves a good performance exceeding 0.9 in precision, recall and f-1 score.

• 한국표면공학회지
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• 제47권5호
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• pp.233-238
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• 2014

In this paper, in order to achieve slim and light liquid crystal display, we examine the optical conditions that can obtain uniform light with higher optical efficiency over whole light guide plate (LGP) through simulation. Furthermore, to overcome the issues of hot spot in front of red, green, and blue light emitting diodes (RGB LEDs) source and non-uniform color mixing, we propose four shaped color mixing bars tied up with the LGP and check the optical characteristics of the LGP with them by simulation. Consequently, we could know the optical conditions of improving optical efficiency and optical uniformity in the LGP through the optical design. Also we confirmed that the issues of the hot spot and non-uniform color mixing in edge type LED could be solved by using the ${\bigwedge}$-shaped window color mixing bar.

• International Journal of Advanced Culture Technology
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• 제8권1호
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• pp.207-212
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• 2020

The human centric lighting (HCL) control is a major focus point of the smart lighting system design to provide energy efficient and people mood rhythmic motivation lighting in smart buildings. This paper proposes the HCL control using indoor surveillance camera to improve the human motivation and well-beings in the indoor environments like residential and industrial buildings. In this proposed approach, the indoor surveillance camera video streams are used to predict the day lights and occupancy, occupancy specific emotional features predictions using the advanced computer vision techniques, and this human centric features are transmitted to the smart building light management system. The smart building light management system connected with internet of things (IoT) featured lighting devices and controls the light illumination of the objective human specific lighting devices. The proposed concept experimental model implemented using RGB LED lighting devices connected with IoT features open-source controller in the network along with networked video surveillance solution. The experiment results are verified with custom made automatic lighting control demon application integrated with OpenCV framework based computer vision methods to predict the human centric features and based on the estimated features the lighting illumination level and colors are controlled automatically. The experiment results received from the demon system are analyzed and used for the real-time development of a lighting system control strategy.

• 미생물학회지
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• 제47권1호
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• pp.50-55
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• 2011

폐수 처리 시스템의 그람 양성 세균을 간편하고 신속하게 모니터링할 수 있는 그람 염색 방법을 개발하였다. 각각 4종류의 그람 양성 세균과 음성 세균의 배양액을 polyethersulfone membrane filter와 Toluidine Blue-O로 여과 및 염색하였다. 염색된 여과막을 건조시키고 스캔하였으며, 영상 분석 프로그램을 이용하여 빨강색, 녹색, 파랑색의 강도를 측정하는 정량적 색상 이미지 분석법을 개발하였다. 그람 양성 세균의 경우 그람 음성 세균보다 빨간색과 초록색 수치가 높게 나타났다. 본 방법을 그람 양성 세균이 혼합된 활성슬러지에 적용한 결과, 활성슬러지의 경우 플록의 불규칙한 크기와 형태로 측정이 어렵다 할지라도 플록 분산 기술을 이용하여 활성슬러지의 그람 양성 세균의 변화를 모니터링 할 수 있었다. 활성슬러지에서도 그람 양성 세균의 비율이 높아질수록 빨간색과 초록색 수치가 증가하였다. 본 연구에서 개발된 방법은 폐수처리 시스템에 존재하는 그람 양성 세균을 신속하고 정량적으로 모니터링 할 수 있다.

• 한국산학기술학회논문지
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• 제15권6호
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• pp.3858-3864
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• 2014

본 논문에서는 모바일 기반의 스마트 감성조명 제어 시스템을 제안한다. 감성조명 장치의 내부발열 및 전력소비를 감소시키기 위하여 제안된 스마트 감성조명 제어 시스템은 안드로이드 플랫폼 모바일 기기와 지그비 모듈, 감성조명 장치, 점등제어 모듈, 전원 공급기, 범용 트랜지스터로 구성하였다. 모바일 디바이스는 시스템에 연결될 때, 감성조명 장치에 실시간 제어 정보를 전송하고, 제어 메시지 및 상태 모니터링을 기반으로 감성조명 장치를 제어하도록 설계하였다. 본 논문에서 제안된 스마트 감성조명 제어 시스템의 효율성 검증 결과, 감성조명 제어 및 색온도 변수에 의해 제어가 가능하였다. 그리고 감성언어를 사용하여 가변적으로 점등제어하기 때문에 21%의 발열량 및 최대 48%의 소비 전력을 감소시켰다.

• Restorative Dentistry and Endodontics
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• 제43권2호
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• pp.22.1-22.9
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• 2018

Objectives: To evaluate and compare light-transmittance in dental tissues and dental composite restorations using the incremental double-layer technique with varying layer thickness. Materials and Methods: B1-colored natural teeth slabs were compared to dental restoration build-ups with A2D and B1E-colored nanofilled, supra-nanofilled, microfilled, and microhybrid composites. The enamel layer varied from 0.3, 0.5, or 1.2 mm thick, and the dentin layer was varied to provide a standardized 3.7 mm overall sample thickness (n = 10). All increments were light-cured to $16J/cm^2$ with a multi-wave LED (Valo, Ultradent). Using a spectrophotometer, the samples were irradiated by an RGB laser beam. A voltmeter recorded the light output signal to calculate the light-transmittance through the specimens. The data were analyzed using 1-way analysis of variance followed by the post hoc Tukey's test (p = 0.05). Results: Mean light-transmittance observed at thicker final layers of enamel were significantly lower than those observed at thinner final layers. Within 1.2 mm final enamel resin layer (FERL) thickness, all composites were similar to the dental tissues, with exception of the nanofilled composite. However, within 0.5 mm FERL thickness, only the suprananofilled composite showed no difference from the dental tissues. Within 0.3 mm FERL thickness, none of the composites were similar to the dental tissues. Conclusions: The supra-nanofilled composite had the most similar light-transmittance pattern when compared to the natural teeth. However, for other composites, thicker FERL have a greater chance to match the light-transmittance of natural dental tissues.