• 제목/요약/키워드: Automated Estimation

검색결과 224건 처리시간 0.022초

운송시간의 예측을 통한 물류정체 통제 모형 (Congestion Management with Arrival Estimation of Unit Loads in an Automated Material Handling System)

  • 정재우;허연호
    • 경영과학
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    • 제29권1호
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    • pp.131-141
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    • 2012
  • The automated material handling systems today are playing ever more important roles in semiconductor/LCD fabrication facilities. Recently they became more flexible, intelligent, and speedy than in the past. The facilities have been fully automated because the size and weight of the unit loads used in the facilities were being increased beyond the limits that a human operator can handle. This research develops an efficient procedure to streamline the delivery of unit loads by the automated material handling system (AMHS). For this task, the research employs the event scheduling theory that has been successfully used in the both academia and industry. The developed procedure was applied to an actual LCD fabrication facility and improved the performance of an existing material handling system.

A Study on Ceiling Light and Guided Line based Moving Detection Estimation Algorithm using Multi-Camera in Factory

  • Kim, Ki Rhyoung;Lee, Kang Hun;Cho, Su Hyung
    • International Journal of Internet, Broadcasting and Communication
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    • 제10권4호
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    • pp.70-74
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    • 2018
  • In order to ensure the flow of goods available and more flexible, reduce labor costs, many factories and industrial zones around the world are gradually moving to use automated solutions. One of them is to use Automated guided vehicles (AGV). Currently, there are a line tracing method as an AGV operating method, and a method of estimating the current position of the AGV and matching with a factory map and knowing the moving direction of the AGV. In this paper, we propose ceiling Light and guided line based moving direction estimation algorithm using multi-camera on the AGV in smart factory that can operate stable AGV by compensating the disadvantages of existing AGV operation method. The proposed algorithm is able to estimate its position and direction using a general - purpose camera instead of a sensor. Based on this, it can correct its movement error and estimate its own movement path.

자율주행 버스의 종방향 제어를 위한 질량 및 종 경사 추정기 개발 (Vehicle Mass and Road Grade Estimation for Longitudinal Acceleration Controller of an Automated Bus)

  • 조아라;정용환;임형호;이경수
    • 자동차안전학회지
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    • 제12권2호
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    • pp.14-20
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    • 2020
  • This paper presents a vehicle mass and road grade estimator for developing an automated bus. To consider the dynamic characteristics of a bus varying with the number of passengers, the longitudinal controller needs the estimation of the vehicle's mass and road grade in real-time and utilizes the information to adjust the control gains. Discrete Kalman filter is applied to estimate the time-varying road grade, and the recursive least squares algorithm is adopted to account for the constant mass estimation. After being implemented in MATLAB/Simulink, the estimators are evaluated with the dynamic model and experimental data of the target bus. The proposed estimators will be applied to complement the algorithm of the longitudinal controller and proceed with algorithm verification.

BIM 기반 토목 라이브러리를 통한 견적자동화시스템에 관한 연구 (A Study on the Automated Estimating System using BIM based Library)

  • 한정훈;남상혁
    • 한국BIM학회 논문집
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    • 제1권2호
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    • pp.12-18
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    • 2011
  • 건설 프로젝트 생애주기 전반에 걸쳐 생성되는 정보를 3차원 모델을 기반으로 관리하는 BIM (Building Information Modeling) 기술은 계획, 설계, 구조해석은 물론 견적 및 3차원 시뮬레이션을 통한 시공계획 등 공사관리 업무를 통합하는 방향으로 발전하고 있다. BIM 기반 견적모델은 3차원 모델의 사용 용도에 따라 상세수준의 차이와 모델정보의 차이를 보이는데, 본 연구에서는 교량 구조물을 대상으로 하여 견적을 위한 모델의 LOD 수준을 파악하였다. 또한 건설정보 분류체계에 적용되는 라이브러리의 클래스를 정의하고 Microstation의 API를 이용하여 클래스의 파라메터를 추출하여 파라메터와 연동되는 Resource의 물량정보를 산출한다. 견적 모델과 상이하게 모델링된 모델에서 하위 모델을 계층화 하고 견적수준으로 병합함으로써 BIM 기반 토목 라이브러리를 통한 견적자동화시스템을 검증하였다.

Crafting an Automated Algorithm for Estimating the Quantity of Beam Rebar

  • Widjaja, Daniel Darma;Kim, Do-Yeong;Kim, Sunkuk
    • 한국건축시공학회지
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    • 제23권4호
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    • pp.485-496
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    • 2023
  • Precise construction cost estimation is paramount to determining the total construction expense of a project prior to the initiation of the construction phase. Despite this, manual quantification and cost estimation methods, which continue to be widely used, may result in imprecise estimation and subsequent financial loss. Given the fast-paced and efficiency-demanding nature of the construction industry, trustworthy quantity and cost estimation is essential. To mitigate these obstacles, this research is focused on establishing an automated quantity estimation algorithm, particularly designed for the main rebar of beams which are recognized for their complicated reinforcement configurations. The exact quantity derived from the proposed algorithm is compared to the manually approximated quantity, reflecting a variance of 10.27%. As a result, significant errors and impending financial loss can be averted. The implementation of the findings from this research holds the potential to significantly assist construction firms in quickly and accurately estimating rebar quantities while adhering strictly to applicable specifications and regulatory requirements.

Automated Mismatch Detection based on Matching and Robust Estimation for Automated Image Navigation

  • Lee Tae-Yoon;Kim Taejung;Choi Rae-Jin
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.709-712
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    • 2005
  • Ground processing for geostationary weather satellite such as GOES, MTSAT includes the process called image navigation. Image navigation means the retrieval of satellite navigational parameters from images and requires landmark detection by matching satellite images against landmark chips. For an automated preprocessing, a matching must be performed automatically. However, if match results contain errors, the accuracy of image navigation deteriorates. To overcome this problem, we propose the use of a robust estimation technique, called Random Sample Consensus (RANSAC), to automatically detect mismatches. We tested GOES-9 satellite images with 30 landmark chips. Landmark chips were extracted from the world shoreline database. To them, matching was applied and mismatch results were detected automatically by RANSAC. Results showed that all mismatches were detected correctly by RANSAC with a threshold value of 2.5 pixels.

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자동화 수동변속기용 건식클러치의 속도기반 Kiss-Point 능동 보상에 관한 연구 (A Study on the Speed-based Active Compensation of the Kiss-Point of Dry-type Clutch Equipped with Automated Manual Transmission)

  • 최우석;이교범;임원식
    • 한국자동차공학회논문집
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    • 제24권3호
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    • pp.372-378
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    • 2016
  • Clutch torque control is the key to the ride comfort improvement of a vehicle equipped with AMT (automated manual transmission). For such control, the torque transfer starting point, known as the "kiss point," should be indicated or at least estimated to compensate for the clutch torque. The kiss point changes due to wear, high temperature, and fatigue; as such, it should be estimated while the vehicle is being driven. In this study, the method of kiss point active estimation for an AMT vehicle with a dry-type clutch was devised. The kiss point is learned while the engine is in an idle state and while the transmission is at a neutral gear position. It is determined when the input shaft of the transmission starts to rotate by slowly engaging the clutch. The noise of the shaft speed signal during the slow engagement process is filtered for accurate control. The kiss point estimation at various clutch engagement speeds was analyzed via a vehicle test.

Scene Change Detection using the Automated Threshold Estimation Algorithm

  • Ko Kyong-Cheol;Rhee Yang-Won
    • 한국정보시스템학회지:정보시스템연구
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    • 제14권3호
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    • pp.117-122
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    • 2005
  • This paper presents a method for detecting scene changes in video sequences, in which the $chi^{2}$-test is modified by imposing weights according to NTSC standard. To automatically determine threshold values for scene change detection, the proposed method utilizes the frame differences that are obtained by the weighted $chi^{2}$-test. In the first step, the mean and the standard deviation of the difference values are calculated, and then, we subtract the mean difference value from each difference value. In the next step, the same process is performed on the remained difference values, mean-subtracted frame differences, until the stopping criterion is satisfied. Finally, the threshold value for scene change detection is determined by the proposed automatic threshold estimation algorithm. The proposed method is tested on various video sources and, in the experimental results, it is shown that the proposed method is reliably estimates the thresholds and detects scene changes.

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웹 기반의 자동물류설비 운영을 위한 분석 및 설계 시스템에 관한 연구 (A Web-based Analysis and Design System for Automated Material Handling Equipment Applications)

  • 조지운;유우연;양재경
    • 산업공학
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    • 제18권4호
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    • pp.431-443
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    • 2005
  • This paper describes a web-based system called DESIGNER for the analysis and design for automated material handling equipment(MHE) applications in manufacturing. DESIGNER models the processes for system integration, economic analysis, performance analysis, and automated storage/retrieval system(AS/RS) design. Based on the information specified by users, the various analysis modules are invoked to meet the needs of the material handling applications. The results of the analyses provide system users with useful data for material handling system design and decision on investment in automated MHE. Example problems are also presented to demonstrate the use of the system.

자동화 비행시험기법에 의한 소형 무인헬리콥터의 파라메터 추정 (Parameter Estimation of a Small-Scale Unmanned Helicopter by Automated Flight Test Method)

  • 방극희;김낙완;홍창호;석진영
    • 제어로봇시스템학회논문지
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    • 제14권9호
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    • pp.916-924
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    • 2008
  • In this paper dynamic modeling parameters were estimated using a frequency domain estimation method. A systematic flight test method was employed using preprogrammed multistep excitation of the swashplate control input. In addition when one axis is excited, the autopilot is engaged in the other axis, thereby obtaining high-quality flight data. A dynamic model was derived for a small scale unmanned helicopter (CNUHELI-020, developed by Chungnam National University) equipped with a Bell-Hiller stabilizer bar. Six degree of freedom equations of motion were derived using the total forces and moments acting on the small scale helicopter. The dynamics of the main rotor is simplified by the first order tip-path plane, and the aerodynamic effects of fuselage, tail rotor, engine, and horizontal/vertical stabilizer were considered. Trim analysis and linearized model were used as a basic model for the parameter estimation. Doublet and multistep inputs are used to excite dynamic motions of the helicopter. The system and input matrices were estimated in the frequency domain using the equation error method in order to match the data of flight test with those of the dynamic modeling. The dynamic modeling and the flight test show similar time responses, which validates the consequence of analytic modeling and the procedures of parameter estimation.