• Title/Summary/Keyword: Lighting conditions

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Growth of Runner Plants Grown in a Plant Factory as Affected by Light Intensity and Container Volume

  • Park, Seon Woo;Kwack, Yurina;Chun, Changhoo
    • Horticultural Science & Technology
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    • v.35 no.4
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    • pp.439-445
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    • 2017
  • Transplant production in a plant factory with artificial lighting provides several benefits; (1) rapid and uniform transplant production, (2) high production rate per unit area, and (3) production of disease free transplants production. To improve the growth of runner plants when strawberry transplants are produced in a plant factory, we conducted two experiments to investigate (1) the effect of different light intensity for stock and runner plants on the growth of runner plants, and (2) the effect of different container volume for runner plants on their growth. When the stock and runner plants were grown under nine different light conditions composed of three different light intensities (100, 200, and $400{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$ PPF) for each stock and runner plants, increasing the light intensity for stock plants promoted the growth of runner plants, however, the growth of runner plants was not enhanced by increasing the light intensity for runner plants under same light intensity condition for stock plants. We also cultivated runner plants using plug trays with four different container volumes (21, 34, 73, and 150 mL) for 20 days after placing the stock plants, and found that using plug trays with lager container volume did not enhance the growth of runner plants. These results indicate that providing optimal condition for stock plants, rather than the runner plants, is more important for increasing the growth of the runner plants and that the efficiency of strawberry transplant production in a plant factory can be improved by decreasing light intensity or container volume for runner plants.

A Vehicle License Plate Recognition Using Intensity Variation and Geometric Pattern Vector (명암도 변화값과 기하학적 패턴벡터를 이용한 차량번호판 인식)

  • Lee, Eung-Ju;Seok, Yeong-Su
    • The KIPS Transactions:PartB
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    • v.9B no.3
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    • pp.369-374
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    • 2002
  • In this paper, we propose the react-time car license plate recognition algorithm using intensity variation and geometric pattern vector. Generally, difference of car license plate region between character and background is more noticeable than other regions. And also, car license plate region usually shows high density values as well as constant intensity variations. Based on these characteristics, we first extract car license plate region using intensity variations. Secondly, lightness compensation process is performed on the considerably dark and brightness input images to acquire constant extraction efficiency. In the proposed recognition step, we first pre-process noise reduction and thinning steps. And also, we use geometric pattern vector to extract features which independent on the size, translation, and rotation of input values. In the experimental results, the proposed method shows better computation times than conventional circular pattern vector and better extraction results regardless of irregular environment lighting conditions as well as noise, size, and location of plate.

A Study on the Direction of the Interior Deisgn of Welfare Facility -Focus on Cafeteria for Employee- (기업체 복지시설의 실내디자인 방향에 관한 연구 -직원식당을 중심으로-)

  • 오도엽
    • Korean Institute of Interior Design Journal
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    • no.17
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    • pp.22-29
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    • 1998
  • As the trend shows that corporate investment for staff's welfare facilities has increased alongside employee's enhanced economic and conscious level which has resulted from economic growth and industrialization this study aims at analyzing interior design elements in staff's welfare facilites especially in cafeteria and suggesting new directions for designing those spaces. The method and scope of this study in firstly to described general points such as function and role of public food service and interior design elements in staff's cafeteria and then to grasp and analyze the present conditions of the staff's cafeteria for enterprises and financial organizations which has been built after 1990. The conclusion of his study can be summarized as follows : First it is desirable to locate employee's cafeteria on upper or top floor which has relatively good atmosphere. Second it is recommended to make overall atmosphere of employee's cafeteria impressive and in commercial restaurant. Third the separation of service circulation serveries and eating area is necessary. Fourth material for each parts should be easy to maintain and durable. Fifth more illuminance that the regulation is recommended and lighting fixture should be selected in terms of economics and maintenance. Sixth selecting bright and warm colors with partial application of accent colors is effective. Seventh furniture should be harmonized with the ambience of the space and required to be convenient and durable. Eighth to provide visual and auditory pleasure during eating it is desirable to equip the minimal A/V system. In addition diverse aspects such as improving employee's welfare caring for company the way of treating employee an boosting corporate images should be considered when designing staff's cafeteria and interior designer should be able to satis managerial aspects productivity and effectiveness as well as pursuing functional aesthetic facts.

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Growth properties of Neolentinus lepideus according to the light environment (광환경에 따른 잣버섯의 생육특성)

  • Jang, Myoung-Jun;Lee, Yun-Hae;Cho, Yong-Koo;Koo, Han-Mo;Oh, Tae-Seok
    • Journal of Mushroom
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    • v.13 no.2
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    • pp.125-128
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    • 2015
  • We found about cultivation light environment conditions of Neolentinus lepideus. For the high quality of N. lepideus, lights-out was useful. In the lights-out, the diameter of pileus of N. lepideus was smaller, and the length and the thickness of stipes were longer and larger than in that of lighting. At the LED effect, the orange and red LEDs prolonged the cultivation period in N. lepideus. The yields of N. lepideus under the white, blue and green LEDs were higher, and the number of available stipes of N. lepideus under the white and blue LEDs was higher than that of other LEDs. The diameter of pileus of N. lepideus under the white, blue and green LEDs was higher, and the length and the thickness of stipes under the orange and red LEDs was higher than those of other LEDs.

A Study on the Interior of Blood Donation Houses of the Korean Red Cross - Improvement Advice based on Recent Changes around Seoul Area - (적십자사 헌혈의 집 실내공간의 실태분석에 따른 개선 방안에 관한 연구 - 서울지역을 중심으로 -)

  • Han Myoung-Heum
    • Korean Institute of Interior Design Journal
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    • v.14 no.6 s.53
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    • pp.140-147
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    • 2005
  • For a safe and stable supply of blood in Korea, 'Blood Donation Houses' are springing up all over Korea to advertise and improve the awareness on blood donations. This research will conduct a study on such blood donation centers, their conditions and problems. It will furthermore provide solutions to raise the level of comfort to donators and help nurses for a better working environment. The research will be conducted in 'Blood Donation Houses' that were established by 4 centers of the Korean Red Cross in Seoul after 1993. Any houses that are temporary (containers, buses, smaller than 15 pyung) were excluded from this study. In order to investigate changes of these houses, the ones analyzed and recorded in the 2002 data were used as a basis for comparison. A total of 16 houses were selected for this study. 5 houses were closed after the initial study of 2002, and 6 houses were not available for research upon above mentioned criteria, leaving 9 houses from the original 2002 data. 7 additional houses were opened after 2002, which were included in this study. The research was conducted by a close study of written materials on the historical and theoretical viewpoint of blood donations, as well as visits to the actual Blood Donation Houses. The conclusion will offer solutions to necessary functional and working space, and lighting in such houses on the basis of above analyzed theoretical and practical data.

Detection of Various Sized Car Number Plates using Edge-based Region Growing (에지 기반 영역확장 기법을 이용한 다양한 크기의 번호판 검출)

  • Kim, Jae-Do;Han, Young-Joon;Hahn, Hern-Soo
    • Journal of KIISE:Software and Applications
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    • v.36 no.2
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    • pp.122-130
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    • 2009
  • Conventional approaches for car number plate detection have dealt with those input images having similar sizes and simple background acquired under well organized environment. Thus their performance get reduced when input images include number plates with different sizes and when they are acquired under different lighting conditions. To solve these problem, this paper proposes a new scheme that uses the geometrical features of number plates and their topological information with reference to other features of the car. In the first step, those edges constructing a rectangle are detected and several pixels neighboring those edges are selected as the seed pixels for region growing. For region growing, color and intensity are used as the features, and the result regions are merged to construct the candidate for a number plate if their features are within a certain boundary. Once the candidates for the number plates are generated then their topological relations with other parts of the car such as lights are tested to finally determine the number plate region. The experimental results have shown that the proposed method can be used even for detecting small size number plates where characters are not visible.

An Accurate Boundary Detection Algorithm for Faulty Inspection of Bump on Chips (반도체 칩의 범프 불량 검사를 위한 정확한 경계 검출 알고리즘)

  • Joo, Ki-See
    • Proceedings of KOSOMES biannual meeting
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    • 2005.11a
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    • pp.197-202
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    • 2005
  • Generally, a semiconductor chip measured with a few micro units is captured by line scan camera for higher inspection accuracy. However, the faulty inspection requires an exact boundary detection algorithm because it is very sensitive to scan speed and lighting conditions. In this paper we propose boundary detection using subpixel edge detection method in order to increase the accuracy of bump faulty detection on chips. The bump edge is detected by first derivative to four directions from bump center point and the exact edge positions are searched by the subpixel method. Also, the exact bump boundary to calculate the actual bump size is computed by LSM(Least Squares Method) to minimize errors since the bump size is varied such as bump protrusion, bump bridge, and bump discoloration. Experimental results exhibit that the proposed algorithm shows large improvement comparable to the other conventional boundary detection algorithms.

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Implementation of Real-Time Security System by using Dual Camera (이중카메라를 이용한 실시간 도난방지 시스템의 구현)

  • Lee, Kwang-Hyoung;Jung, Young-Hun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.1
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    • pp.158-164
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    • 2009
  • The real time security system using web camera shall correspond in commensurate with it in real time through classifying moving object and analyzing the behavior. But, as to the detection of moving object in real time image through a camera, it is difficult to detect movement correctly according to the change of unnecessary noises, lighting conditions and screened phenomenon. This paper proposes real time security system by dual camera and ultrasonic sensor, a method of advanced detection in order to detect correct movement of specific object. That is, we could improve the tracing characteristics by using ultrasonic sensor as measurement factor of changed position and verify through experiments that the information interchanged between camera upwards and in front of it have effect on tracing a specific object continuously. The results of the experiment show that recognition rate of object was 97.4% and the correct tracing could be done lastingly in a phenomena of screening object.

Robust Face and Facial Feature Tracking in Image Sequences (연속 영상에서 강인한 얼굴 및 얼굴 특징 추적)

  • Jang, Kyung-Shik;Lee, Chan-Hee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.9
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    • pp.1972-1978
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    • 2010
  • AAM(Active Appearance Model) is one of the most effective ways to detect deformable 2D objects and is a kind of mathematical optimization methods. The cost function is a convex function because it is a least-square function, but the search space is not convex space so it is not guaranteed that a local minimum is the optimal solution. That is, if the initial value does not depart from around the global minimum, it converges to a local minimum, so it is difficult to detect face contour correctly. In this study, an AAM-based face tracking algorithm is proposed, which is robust to various lighting conditions and backgrounds. Eye detection is performed using SIFT and Genetic algorithm, the information of eye are used for AAM's initial matching information. Through experiments, it is verified that the proposed AAM-based face tracking method is more robust with respect to pose and background of face than the conventional basic AAM-based face tracking method.

Eye Location Algorithm For Natural Video-Conferencing (화상 회의 인터페이스를 위한 눈 위치 검출)

  • Lee, Jae-Jun;Choi, Jung-Il;Lee, Phill-Kyu
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.12
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    • pp.3211-3218
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    • 1997
  • This paper addresses an eye location algorithm which is essential process of human face tracking system for natural video-conferencing. In current video-conferencing systems, user's facial movements are restricted by fixed camera, therefore it is inconvenient to users. We Propose an eye location algorithm for automatic face tracking. Because, locations of other facial features guessed from locations of eye and scale of face in the image can be calculated using inter-ocular distance. Most previous feature extraction methods for face recognition system are approached under assumption that approximative face region or location of each facial feature is known. The proposed algorithm in this paper uses no prior information on the given image. It is not sensitive to backgrounds and lighting conditions. The proposed algorithm uses the valley representation as major information to locate eyes. The experiments have been performed for 213 frames of 17 people and show very encouraging results.

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