• Title/Summary/Keyword: BIN method

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Storage Characteristics of Rough Rice by Storage Method (저장방법에 따른 벼의 저장특성)

  • Lee, J.S.;Hong, H.K.;Kang, T.H.;Li, H.;Ham, T.M.;Kim, Y.H.;Han, C.S.
    • Journal of Biosystems Engineering
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    • v.33 no.3
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    • pp.167-172
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    • 2008
  • The objective of this study was to investigate the adequate storage method that was able to maintain the high quality of rough rice according to storage methods and period. The quality change of the rough rice during the storage period was evaluated by storage method such as cooling bin using winter cold air, ordinary temperature bin, freezing, refrigeration and indoor storage. Moisture content, brown rice whiteness, hardness, crack ratio and germination ratio were measured in this study. Moisture content of rough rice stored in cooling bin using winter cold air and ordinary temperature bin were decreased by 0.07% and 0.42%, respectively, which were lower than the other storage method. The hardness of brown rice increased in order of storage method such as winter cooling bin, normal bin, freezing storage, refrigeration storage and indoor storage. Crack ratio by indoor and ordinary temperature bin storage were increased by 2.68% and 3.63%, respectively, whereas cooling bin using winter cold air, refrigeration and freezing storage showed below 1.0%. The highest germination rate was found in cooling bin using winter cold air. As a result, cooling bin using winter cold air can be evaluated for the adequate storage method of rough rice.

A Case Study on Explosive Demolition of a Steel-Frame Structure (철골구조물 발파해체 시공사례)

  • Park, Hoon;Noh, You-Song;Nam, Sung-Woo;Jang, Seong-Ok;Kim, Nae-Hoi;Suk, Chul-Gi
    • Explosives and Blasting
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    • v.39 no.2
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    • pp.27-36
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    • 2021
  • Recently, the demand for demolition for the unnecessary steel frame structure is increasing due to deterioration and unsatisfactory functional conditions and the major highlights of demolition issues. This execution case was intended to describe an application of the felling method as one about the suggested method for explosive demolition method of ore bin and coke bin facilities, which were steel frame structures. And we used the charging container for blast cutting of the steel frame structure. As a result of the explosive demolition, the ore bin and coke bin had collapsed precisely according to the estimated direction. And the explosive demolition was completed without causing any damage to surrounding facilities.

Assessment of BIN Method to Predict Energy Saving in Office Building Using the RADIANCE Program (RADIANCE 프로그램을 이용한 오피스 건축물에서의 에너지 절감율 예측을 위한 BIN Method 검토)

  • Hong, Seong-Kwan;Park, Byoung-Chul;Choi, An-Seop;Lee, Jeong-Ho
    • 한국태양에너지학회:학술대회논문집
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    • 2008.04a
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    • pp.154-159
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    • 2008
  • Daylight is an important component for human and energy saving. Also, available daylight in inside provides positive influence on psychological and physiological aspects as well as good visual environment. It is important to lighting design for office building not only designing for artificial lighting but also using daylight for energy savings. Therefore, lighting designers and architectures must consider the effects of the daylight for human environment and energy savings. The BIN Method is one of the methods to predict energy savings using computer simulation but it spends more time than expectation. So, this study performs to simulate a simple space using the RADIANCE for examination and simplification of the BIN Method.

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Bin Picking method using stereo vision (스테레오 비젼을 이용한 Bin Picking Method)

  • 주기세;한민홍
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.692-698
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    • 1993
  • This paper presents a Bin-Picking method in which robot recognizes the positions and orientations of jumbled objects placed in a bin, then picks up distinctive objects from the top of the jumble. The jumbled objects are recognized comparing the characteristics extracted from stereo images with those in the CAD data. The 3-D information is obtained using the bipartite-matching method which compares image of one camera with the image of the other camera Then the robot picks up the object which will cause the least amount of disturbance to the jumble, and places it at a predetermined place. This paper contributes to the basic study of Bin-Picking, and can be used in an automatic assembly system without using part sorting or orienting devices.

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Bin-picking using robot vision (로보트 비젼을 이용한 Bin-Picking)

  • 최재완;임선종;강용근;김기엽
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.1014-1017
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    • 1992
  • This paper proposed LM method for solving bin-picking problem in robot vision. It has the processing steps such as image enchancement, image thresholding, region labelling, and moment computation. To determine a target object form bined objects, the modified labelling method is used. To determine position and orientation of holdsite, the moment method is used. Finally, some experiment results are illustated and compared with the results of conventional shrinking algorithm. The proposed LM method has reduced processing time.

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Bin-picking method using stereo vision

  • Joo, Kisee;Han, Min-Hong
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1994.04a
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    • pp.527-534
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    • 1994
  • This paper presents a Bin-Picking method in which robot recognizes the positions and orientations of unoccluded objects at the top of jumbled objects placed in a bin, and picks up the unoccluded objects one by one from the jumble. A method using feasible region, painting, and hierarchical test is introduced for recognizing the unoccluded objects from the jumbled objects. The 3D information is obtained using the bipartite-matching method which finds the least difference of 3D by comparing vertexes of one camera with vertexes of the other camera, then hypothesis and test are done. The working order of unoccluded objects is made based on 3D, position, and orientation information. The robot picks up the unoccluded objects from the jumbled objects according to the working order. This all process continues to the empty bin.

A study on vision algorithm for bin-picking using labeling method (Labeling 방법을 이용한 Bin-Picking용 시각 기능 연구)

  • Choi, J.W.;Park, K.T.;Chung, G.J.
    • Journal of the Korean Society for Precision Engineering
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    • v.10 no.4
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    • pp.248-254
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    • 1993
  • This paper proposes the labeling method for solving bin-picking problem in robot vision. It has the processing steps such as image thresholding, region labeling, and moment computation. To determine a target object from object, the modified labeling method is used to. The moment concept applied to determine the position and orientation of target object. Finally, some experiment result are illustrated and compared with the results of conventional shrinking algorithm and collision fronts algorithm. The proposed labeling method has reduced processing time.

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A Study on Intelligent Robot Bin-Picking System with CCD Camera and Laser Sensor (CCD카메라와 레이저 센서를 조합한 지능형 로봇 빈-피킹에 관한 연구)

  • Kim, Jin-Dae;Lee, Jeh-Won;Shin, Chan-Bai
    • Journal of the Korean Society for Precision Engineering
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    • v.23 no.11 s.188
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    • pp.58-67
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    • 2006
  • Due to the variety of signal processing and complicated mathematical analysis, it is not easy to accomplish 3D bin-picking with non-contact sensor. To solve this difficulties the reliable signal processing algorithm and a good sensing device has been recommended. In this research, 3D laser scanner and CCD camera is applied as a sensing device respectively. With these sensor we develop a two-step bin-picking method and reliable algorithm for the recognition of 3D bin object. In the proposed bin-picking, the problem is reduced to 2D intial recognition with CCD camera at first, and then 3D pose detection with a laser scanner. To get a good movement in the robot base frame, the hand eye calibration between robot's end effector and sensing device should be also carried out. In this paper, we examine auto-calibration technique in the sensor calibration step. A new thinning algorithm and constrained hough transform is also studied for the robustness in the real environment usage. From the experimental results, we could see the robust bin-picking operation under the non-aligned 3D hole object.

Estimating Cooling and Heating Degree Days for Variable Base Temperature (서울 및 부산지역의 가변 평형점온도에 따른 냉난방도일 산정법에 관한 연구)

  • Ihm, Pyeongchan;Jung, Soon-Sung;Seo, Donghyun
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.26 no.2
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    • pp.79-85
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    • 2014
  • In general, building energy performance is evaluated with a detailed transient building energy simulation program. However, energy evaluation tools with the bin method are still used, because of their simple and easy way to calculate building energy performance, without reducing their precision. In this research, several heating and cooling degree day methods are compared, and evaluated with their performance for variable base temperature. This analysis considered about ten years of the continuous outdoor temperature, in the Seoul and Busan areas. It is concluded that the simplified bin method is more or less acceptable for Seoul and Busan, compared with the detailed hourly bin method.

Comparison on Heating & Cooling Loads Analysis in Buildings with Modified Bin Method (수정(修正)빈법(法)에 의한 건물(建物)의 기간(期間) 열부하(熱負荷) 해석(解析)에 관한 비교(比較) 연구(硏究))

  • Sohn, J.Y.;Yoon, D.W.;Yee, J.J.
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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    • v.17 no.6
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    • pp.675-685
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    • 1988
  • The purpose of this paper is to present the fundamental information for setting up more accurate and easier heat loads analysis method by examing and comparing Modified Bin Method with Dynamic loads calculation and Extended Degree Day Method. For this comparison, monthly and annual loads calculation are performed in perimeter zones of model office building in Seoul by the above each Method. The results of Modified Bin Method are approximated to those of Dynamic loads calculation Method, and the correlations of the methods are specifically described in this paper.

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