• 대한전기학회:학술대회논문집
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• 대한전기학회 1997년도 추계학술대회 논문집 학회본부
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• pp.106-108
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• 1997

Many new office buildings are being built as intelligent buildings equipped with building automation(HA) systems, office automation(OA) systems, and telecommunication(TC) systems in order to provide pleasant building environment and the ease of maintenance and facility management. Building control systems which are employed in intelligent buildings require varieties of advanced control systems and network systems for efficient integrated management. Design and installation of these types of advanced building control systems take a lot of efforts and also they are costly. In order to design these systems, it is necessary for the designers to have the integrated simulator including proper network system simulation. In this paper, the integrated simulator that consist of HVAC system, lighting system, elevator system, parking system based on the network system is presented. For the development of integrated simulator, AHENA which is the general-purpose software tool for a simulation with reinforced GUI is used.

• 한국기계가공학회지
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• 제21권4호
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• pp.60-69
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• 2022

To keep pace with Industry 4.0, it is imperative for companies to redesign their working environments by adopting robotic automation systems. Automation lines are facilitating the latest cutting-edge technologies, such as 3D vision and industrial robots, to outdo competitors by reducing costs. Considering the nature of the manufacturing industry, a time-saving workflow and smooth linkwork between processes is vital. At Dellics, without any additional new installation in the automation lines, only a few improvements to the working process could raise productivity. Three requirements are the development of gripping technology by utilizing a 3D vision system for the recognition of the material shape and location, research on lighting projectors to target long distances and high illumination, and testing of algorithms/software to improve measurement accuracy and identify products. With some of the functional requisites mentioned above, improved robotic automation systems should provide an improved working environment to maximize overall production efficiency. In this article, the ways in which such a system can become the groundwork for establishing an unmanned working infrastructure are discussed.

• 사물인터넷융복합논문지
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• 제2권3호
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• pp.7-15
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• 2016

요즘 홈오토메이션 시스템에 대한 연구가 많이 진행되고 있다. 본 연구에서는 지능형 홈오토메이션 시스템을 설계하여 집안의 온도와 조도를 자동적으로 조절하는 시스템을 개발한다. 다른 연구와의 다른 점은 각 개인의 생활 습관과 취향에 따라 개별적으로 조절할 수 있으며, 축적된 생활 습관 데이터베이스를 통해 보다 더 안락한 주거 환경을 제공한다는 점이다. 또한, 모바일 앱을 통해 가정 내의 조명과 선풍기, 히터 등을 손쉽게 제어할 수 있으며, 자신의 생활 습관에 대한 주거 환경 통계 자료를 검색할 수 있도록 하는 지능형 홈오토메이션 시스템을 제안한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권3호
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• pp.1043-1064
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• 2020

A kind of Subjective Imaging Effect Assessment (SIEA) method and its applications on intelligent imaging terminal design in engineering site are presented. First, some visual assessment indices are used to characterize the imaging effect: the image brightness, the image brightness uniformity, the color image contrast, the image edge blur, the image color difference, the image saturation, the image noise, and the integrated imaging effect index. A linear weighted function is employed to carry out the SIEA computation and the Analytic Hierarchy Process (AHP) technique is used to estimate its weights. Second, a SIEA software is developed. It can play images after the settings of assessment index or assessment reaction time, etc. Third, two cases are used to illustrate the application effects of proposed method: the image enhancement system design for surveillance camera and the imaging environment perception system design for intelligent lighting terminal. A Prior Sequential Stimulus (PSS) experiment is proposed to improve the evaluation stability of SIEA method. Many experiment results have shown the proposed method can realize a stable system design or parameters setting for the intelligent imaging terminal in engineering site.

• 설비공학논문집
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• 제16권10호
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• pp.969-976
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• 2004

Building energy saving is one of the most important issues in these days. Energy saving control strategies should be developed properly to achieve the saving. One of such area we could apply is the HVAC (Heating, Ventilation and Air-Conditioning) system. Through the optimal control algorithm for building energy management system (EMS), you can not only save the cost of building energy, but also protect HVAC system components against the unexpected condition. In order to verify the effectiveness of building energy saving, field test was accomplished for several months at 'A' building. And to get the measured data, remote control was used. If the remote control is used in BAS (Building Automation System), control and monitoring can be done for all of the building systems, such as HVAC, power, lighting, security and fire-alarm etc. anywhere any time. Using the remote control, Control and monitoring is possible for the testing system without going there. As the results of field test, we could reduce $5{\sim}10\%$ of the building energy cost.

• 원예과학기술지
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• 제30권1호
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• pp.6-12
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• 2012

Early growth, pigmentation, protein content, and phenylalanine ammonia-lyase (PAL) activity of red curly lettuces (Lactuca sativa L.) grown under different lighting conditions were investigated. Fluorescent lamps (control), blue, red, and blue plus red light-emitting diodes (LEDs) were used as light sources for 10 days. An equal proportion (1:1) of blue and red LEDs was used in the mixed radiation condition. Compared with the control, monochromic red or blue lighting increased fresh and dry weights of 'Ttuksum' and 'Jaju' lettuces. Anthocyanin synthesis was also significantly promoted by the mixed radiation of blue and red LEDs. The mixed radiation also increased the protein content and PAL enzyme activity of 'Ttuksum' leaves by about 200% compared to other treatments. Anthocyanin content was the highest in lettuces subjected to the mixture radiation of blue and red light treatment, while anthocyanin synthesis was inhibited by monochromic red light. The results of the present study indicate that growth and pigment synthesis in lettuces are significantly enhanced by exposure to mixed radiation from blue and red LEDs.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2004년도 Asia Display / IMID 04
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• pp.673-675
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• 2004

This study proposes controller with voltage-compensated drivers for producing gray-scaled pictures on passive matrix organic light emitting diodes (PMOLEDs) panels. The controller includes voltage type drivers so the output impedance of the driver is far less than that of the current-type driver. Its low output impedance provides better electron-optical properties than those of traditional current drivers. A free running clock and a group of counters are applied to the gray-scaled function so that phase lock loop (PLL) circuit can be reduced in the controller. A pre-charge function is used to enhance performance of the luminance of an active OLED pixel. As a result, distribution of the low gray level portion is achieved linear relationship with input data. In this work, the digital part of the proposed controller is implemented using FPGA chips, and analog parts are combined with a digital-analog converter (DAC) and analog switches. A still image is displayed on a $48^{\ast}64$ PMOLEDs panel to assess the luminance performance fir the controller. Based on its cost requirement and luminance performance, the controller is qualified to join the market for driving PMOLEDs panels.

• 한국인터넷방송통신학회논문지
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• 제22권4호
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• pp.157-163
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• 2022

최근 산업 분야 자동화의 발전에 따라 이상 징후 검출에 대한 연구가 활발하게 진행 중이다. 공장 자동화에 사용되는 이상 징후 검출의 응용분야로 카메라를 사용한 결함 검사가 있다. 비전 카메라 검사는 공장 자동화에서 높은 성능과 효율성을 보이지만, 조명과 환경조건의 불안정성을 극복하기가 어렵다. 딥러닝을 이용한 카메라 검사가 훨씬 더 높은 성능을 보이면서 비전 카메라 검사의 문제를 해결할 수 있지만 학습을 위해 엄청난 양의 정상 데이터 및 비정상 데이터를 요구하기 때문에 실제 산업 분야에 적용하기가 어렵다. 따라서 본 연구는 정상 데이터만을 사용한 72개의 기하학적 변환 딥러닝 방법으로 비정상 데이터 수집 문제를 극복하고, 성능 개선을 위한 특이치 노출 방법을 추가한 네트워크를 제안한다. 이를 자동차 부품 데이터 및 이상치 검출용 데이터베이스인 MVTec 데이터 셋에 적용하고 검증함에 의해 실제 산업 현장에서 적용할 수 있음을 보인다.

• 한국실내디자인학회논문집
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• 제13호
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• pp.96-101
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• 1997

The purpose of this study was to examine the current office work environment and suggest the needs for improvement the quality and efficiency of work. To fulfill this task, information describing various environmental conditions was gathered from generally large offices in Pusan and Major cities in Kyoungnam. Data were collected on questionnaire's general information, lighting, air quality, temperature, health problems, noise and equipment arrangements, and the size fo workspace. The extent to which the attitudes and behaviors of workers were related to these environmental conditions was then examined and scrutinized. According to the development of office automation, the interest in improvement of office environment become increased. Workstation size, individual environmental control, health care, adequate storage space and noise control should be recognized as critical to the worker's environmental satisfactiov. Finally, based on the results of this study, a number ofrecommendations can be made for alleviating some of the problems that have been identified. Designers should be interested in knowing if their environments actually function in the manner in which they were intended.

• 대한전기학회논문지:시스템및제어부문D
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• 제54권10호
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• pp.595-603
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• 2005

This Paper proposes the tire mold number identification method which reads the letters on a tire surface with 3D. It is very difficult to separate the letters from the background of an image since the letters on a tire surface is an embossed data. There was many studies to read the letters on a tire surface for the factory automation, however, it was very difficult to separate the letters from the background of an image since the letters on a tire surface is embossed black characters on the black ground. In this study, we first developed the method to find the location of tire mold number, which is used to classify the tire size, from the embossed letters on a tire surface using 3-dimensional laser profile camera which is not affected by the lighting condition, then developed the method to separate the mold number from that location. As a result, we were able to contribute to automate the tire size classification which has been manually performed by operators previously.