• 제목/요약/키워드: Sorting mechanism

검색결과 44건 처리시간 0.026초

Development of an Automatic Sorting System Driven by Friction Force

  • Ko, Min-Seok;Lee, Jeong-Wook;Kim, Jung-Ha
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.90.5-90
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    • 2002
  • In this research, we are trying to develop an automatic sorting system, which is mostly affected by frictional forces between a veneer and plank. So we will make a suitable dynamic model and mechanism to control the velocity feedback. We will suggest stick-slip motion model which can predict the stability behavior of this system. The control system has a feedback loop, in which the following operations are included. A kind of sensor can get the velocity of the mass to adhesive veneer. The output of result signal should be passed to a filter, then to a phase shifter, which applies an adjustable phase-shift, to a variable-gain amplifier. A shaker will be attached to the mass, which ex...

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한국 도별(道別) 인구수 변천에 대한 공분산분석(共分散分析) (The Analysis of Covariance of Do(province) Population Variability)

  • 신민웅
    • Journal of Preventive Medicine and Public Health
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    • 제6권1호
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    • pp.77-79
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    • 1973
  • The Mechanism for sorting out the covariance effect is known as the covariance analysis. The sorting out of regression and correlation effect is an obvious application of the covariance analysis. The result of Do population by age groups (15 ages interval) from 1966 Census and from 1970 Census has been applied to analyzing covariability by the analysis of covariance. The results are as follows. (1) The signicance of the regression of 1970 population on 1966 population is assured as F=116.5 (2) There is a significant difference between mean of each age group. (F=88.1) (3) There is very little evidence of significant heterogeneity of regression between age groups. (F=0.72)

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영상처리에 의한 장미 선별 (On-Line Sorting of Cut Roses by Color Image Processing)

  • 배영환;구현모
    • Journal of Biosystems Engineering
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    • 제24권1호
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    • pp.67-74
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    • 1999
  • A prototype cut-flower sorter was developed and tested for its performance with five varieties of roses. Support plates driven by a chain mechanism transported the roses into an image inspection chamber. Color image processing algorithms were developed to evaluate the length, thickness, and straightness of stem and color, height, and maturity of bud. The average absolute errors of the system for the measurements of stem length, stem thickness, and height of bud were 19.7 mm, 0.5 mm, and 3.8 mm, respectively. The results of classification by the sorter were compared with those of a human inspector for straightness of stem and maturity of bud. The classification error for the straightness of stem was 8.6%, when both direct image and reflected image by a mirror were analyzed. The accuracy in classifying the maturity of bud varied among the varieties, the smallest for‘Nobless’(1.5%) and the largest for‘Rote Rose’(13.5%). The time required to process a rose averaged 2.06 seconds, equivalent to the capacity of 1,600 roses per hour.

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Research on Gamification Incentive Mechanism of E-commerce Platform

  • Zhao, Qiu-Yue;Cho, Dong-Min
    • 한국멀티미디어학회논문지
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    • 제25권7호
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    • pp.973-982
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    • 2022
  • As a new marketing tool, gamification design has been used in marketing practice by e-commerce platforms, aiming to motivate consumers to participate. Based on this, by sorting out relevant domestic and foreign literature, analysis of actual business cases, in-depth interviews with users, experiments and data analysis, this study extracts and describes in detail the elements of the e-commerce platform gamification incentive mechanism. Draw conclusions through research: (1) The incentive mechanism of gamification design of e-commerce platform contains four main dimensions : The richness of symbols, The fun of gamification, The contagiousness of Social and The seduction of achievement. (2) The four elements are closely related, and these can work on a system at the same time and have significant mutual effects. (3) Achievement and fun can bring intrinsic motivation to consumers, while sociability and symbols can bring external motivation to consumers and promote internal motivation through external motivation. (4) The seduction of achievement and the richness of symbol are most closely related.

준설토 일괄처리시스템을 위한 진공사이로 설계에 관한 연구 (A Study on Design of Vacuum Silo for Batch Treatment System for Dredged Soil)

  • 김용석;양해림;김학선;정찬세;양순용
    • 대한기계학회논문집A
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    • 제36권5호
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    • pp.571-577
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    • 2012
  • 본 논문에서는 우수관로부터 발생되는 퇴적토의 준설처리를 위한 소형의 이동식 준설일괄처리 시스템을 제안하고, 특히 진공사이로와 1차 선별분리기 그리고 컨베이어를 일체화하는 진공사이로 선별분리장치를 설계하였다. 진공사이로 선별분리장치는 저장조, 이송 스크류, 진공 게이트, 스크린 바, 스크린 바 클리너, 진공배출장치로 구성된다. 특히 저장조 내에서 흡입공기의 흐름은 선별분리 성능의 주요 요소임을 고려하여 CFD 유동해석을 통해 최적형상을 도출하였다. 또한 CAE 구조해석을 통해 판재로 이루어지는 저장조의 안전성을 검토하였다. 그리고 3D-CAD 모델링을 통한 구동 메커니즘의 기구적, 역학적 시뮬레이션을 수행하여 사양을 결정하였다. 본 연구에 이어서, 드럼 스크린형 2차선별기, 데칸터형 탈수장치 그리고 보조장치인 오수탱크와 펌프 등을 설계할 것이다. 그리고 본 설계를 바탕으로 시제품을 제작하고 필드테스트를 수행할 것이다.

6-시그마 기법을 이용한 고속자동피치가변장치 메커니즘 설계 (Mechanism Design of High Speed Automated Pitch Variation Unit by using 6-Sigma Method)

  • 이진환;원윤재;이혁
    • 반도체디스플레이기술학회지
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    • 제7권4호
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    • pp.23-28
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    • 2008
  • A high speed automated pitch variation unit (HAPU) related to semiconductor category sorting movement of the test handler system was developed. In the design process, 'DMADOV' step of 6-Sigma method has been applied. The design result for the desirable pitch variation was a 3:1 reduction rack-pinion and a linkage which are operated by servomotors. The realization and reliability of the mechanism was obtained at the design stage by FEM analysis, and by robust design using Taguchi orthogonal array against weight and deformation. Finally, the validity of the high speed variation mechanism was confirmed via inspection using a high speed camera while performing pitch variation.

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Development of On-line Quality Sorting System for Dried Oak Mushroom - 3rd Prototype-

  • 김철수;김기동;조기현;이정택;김진현
    • Agricultural and Biosystems Engineering
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    • 제4권1호
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    • pp.8-15
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    • 2003
  • In Korea, quality evaluation of dried oak mushrooms are done first by classifying them into more than 10 different categories based on the state of opening of the cap, surface pattern, and colors. And mushrooms of each category are further classified into 3 or 4 groups based on its shape and size, resulting into total 30 to 40 different grades. Quality evaluation and sorting based on the external visual features are usually done manually. Since visual features of mushroom affecting quality grades are distributed over the entire surface of the mushroom, both front (cap) and back (stem and gill) surfaces should be inspected thoroughly. In fact, it is almost impossible for human to inspect every mushroom, especially when they are fed continuously via conveyor. In this paper, considering real time on-line system implementation, image processing algorithms utilizing artificial neural network have been developed for the quality grading of a mushroom. The neural network based image processing utilized the raw gray value image of fed mushrooms captured by the camera without any complex image processing such as feature enhancement and extraction to identify the feeding state and to grade the quality of a mushroom. Developed algorithms were implemented to the prototype on-line grading and sorting system. The prototype was developed to simplify the system requirement and the overall mechanism. The system was composed of automatic devices for mushroom feeding and handling, a set of computer vision system with lighting chamber, one chip microprocessor based controller, and pneumatic actuators. The proposed grading scheme was tested using the prototype. Network training for the feeding state recognition and grading was done using static images. 200 samples (20 grade levels and 10 per each grade) were used for training. 300 samples (20 grade levels and 15 per each grade) were used to validate the trained network. By changing orientation of each sample, 600 data sets were made for the test and the trained network showed around 91 % of the grading accuracy. Though image processing itself required approximately less than 0.3 second depending on a mushroom, because of the actuating device and control response, average 0.6 to 0.7 second was required for grading and sorting of a mushroom resulting into the processing capability of 5,000/hr to 6,000/hr.

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철골모멘트골조의 보-힌지 붕괴모드를 유도하는 유전자알고리즘 기반 최적내진설계기법 (Genetic Algorithm Based Optimal Seismic Design Method for Inducing the Beam-Hinge Mechanism of Steel Moment Frames)

  • 박효선;최세운
    • 한국전산구조공학회논문집
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    • 제29권3호
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    • pp.253-260
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    • 2016
  • 본 연구에서는 철골모멘트골조의 보-힌지 붕괴모드를 유도하는 최적 내진설계기법을 제안한다. 이는 유전자알고리즘을 사용하며, 기둥의 소성힌지 발생을 억제하는 제약조건을 설정하여 보-힌지 붕괴모드를 유도한다. 제안하는 기법은 구조물량를 최소화하고 에너지소산능력을 최대화하는 목적함수를 사용한다. 제안하는 기법은 9층 철골모멘트골조 예제 적용을 통해 검증한다. 예제 적용을 통해 철골모멘트골조의 보-힌지 붕괴모드를 유도하기 위해 요구되는 기둥-보 강도비를 평가한다. 패널존에 대한 3가지 모델링 기법을 각각 적용하여 모델링 조건에 따른 휨강도비 영향이 추가적으로 검토된다.

Over Expression of BCL2 and Low Expression of Caspase 8 Related to TRAIL Resistance in Brain Cancer Stem Cells

  • Qi, Ling;Ren, Kuang;Fang, Fang;Zhao, Dong-Hai;Yang, Ning-Jiang;Li, Yan
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권12호
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    • pp.4849-4852
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    • 2015
  • Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) has been investigated as an effective agent to treat various cancers. Cancer stem cells are resistant to TRAIL treatment, but the mechanism of TRAIL resistance remains unknown. In this study, brain cancer stem cells were isolated by CD133 magnetic sorting, and the number of CD133 positive cells detected by flow cytometry. The self-renewing capacity of brain cancer stem cells was examined by a neurosphere formation assay, and the percentage of cell death after TRAIL treatment was examined by an MTS assay. Expression of DR5, FADD, caspase 8 and BCL2 proteins was detected by western blot. The amount of CD133 positive cells was enriched to 71% after CD133 magnetic sorting. Brain cancer stem cell neurosphere formation was significantly increased after TRAIL treatment. TRAIL treatment also reduced the amount of viable cells and this decrease was inhibited by a caspase 8 inhibitor or by the pan-caspase inhibitor z-VAD (P<0.05). Brain cancer stem cells expressed lower levels caspase 8 protein and higher levels of BCL2 protein when compared with CD133 negative cells (P<0.05). Our data suggest that TRAIL resistance is related to overexpression of BCL2 and low expression of caspase 8 which limit activation of caspase 8 in brain cancer stem cells.

성능 개선을 위한 곡물 선별기의 유한요소해석 (Finite Element Analysis of a Color Discerning Device for Performance Improvement)

  • 김성현;이규호;정진태
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2007년도 추계학술대회논문집
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    • pp.702-707
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    • 2007
  • A Color Discerning Device(CDD) is the equipment to use in a Rice Processing Complex(RPC). A CDD can sorting discolored grain according to light and shade. The existing a CDD's driving performance is not so good as overseas machine. Besides, transportation process causes a defect in the mechanism from impact or harmonic excitation or etc. This study is represented the problem of CDD through experiment and simulation on a CDD. To analysis the problem of driving condition, devide each part of CDD for performed modal analysis. The problem of driving of driving condition and transportation process solved by carry out modal analysis and static analysis.

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