• 제목/요약/키워드: Line-based

검색결과 10,017건 처리시간 0.031초

MODAPTS 기반 자동차 조립공정 공수 산정에 관한 연구 (A Study on the Man-Hour Computation Based on MODAPTS in Automobile Assembly Line)

  • 이창호
    • 대한안전경영과학회지
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    • 제23권1호
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    • pp.65-70
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    • 2021
  • Domestic as well as global automobile manufacturers are making greater efforts in cost reduction to strengthen the competitiveness. In this study, we developed a program to effectively manage standard time of automobile assembly line, and confirm based on A-automobile factory data. For the purpose, we develop the system which is possible to manage standard time as well as calculate man-hour for automobile assembly line.

검색에 기초한 파형 검출 알고리듬 (Waveform Detection Algorithm based on the Search of Distinctive Line-Segments)

  • 박승훈;장태규
    • 대한의용생체공학회:의공학회지
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    • 제14권3호
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    • pp.265-272
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    • 1993
  • We present a new waveform detection method, based on the search of distinctive line-segments. The method is based on the basic assumption that the waveform morphology of biological signals is readily characterized by a sequence of the distinctive line-segments and their structural features. In this method, the distinctive line-segments are first searched for, and a structural feature analysis is performed an the distinctive line-segments found. Experiments of detecting epileptic spikes were carried out to evaluate the detection per formance of the method. Two subjects were used for training and tuning the algorithm and four subjects for testing the method. The results were obtained on two different performance indices, detection ratio and the number of false detections per minute.

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특징적인 직선요소들의 검색에 기초한 EEG 파형 검출 (EEG WAVEFORM DETECTION BASED ON THE SEARCH OF DISTINCTIVE LINE-SEGMENTS)

  • 박승훈;장태규
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1992년도 춘계학술대회
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    • pp.121-122
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    • 1992
  • We present a new EEG waveform detection method, based on the search of distinctive line-segments. The method is based on the assumption that EEG waveform morphology is characterized by a sequence of its distinctive line-segments and their structural features. In this method, the distinctive line segments are first searched for, and the structural feature analysis is performed on the found line-segment sequence. Experiments of detecting epileptic spikes are performed on four different subjects.

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AGN BROAD LINE REGIONS SCALE WITH BOLOMETRIC LUMINOSITY

  • TRIPPE, SASCHA
    • 천문학회지
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    • 제48권3호
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    • pp.203-206
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    • 2015
  • The masses of supermassive black holes in active galactic nuclei (AGN) can be derived spectroscopically via virial mass estimators based on selected broad optical/ultraviolet emission lines. These estimates commonly use the line width as a proxy for the gas speed and the monochromatic continuum luminosity, λLλ, as a proxy for the radius of the broad line region. However, if the size of the broad line region scales with the bolometric AGN luminosity rather than λLλ, mass estimates based on different emission lines will show a systematic discrepancy which is a function of the color of the AGN continuum. This has actually been observed in mass estimates based on Hα/Hβ and CIV lines, indicating that AGN broad line regions indeed scale with bolometric luminosity. Given that this effect seems to have been overlooked as yet, currently used single-epoch mass estimates are likely to be biased.

기술도해 생성을 위한 가시화 데이터 은선 제거 알고리즘 (Hidden Line Removal for Technical Illustration Based on Visualization Data)

  • 심현수;최영;양상욱
    • 한국CDE학회논문집
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    • 제11권6호
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    • pp.455-463
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    • 2006
  • Hidden line removal(HLR) algorithms can be devised either in the image space or in the object space. This paper describes a hidden line removal algorithm in the object space specifically for the CAD viewer data. The approach is based on the Appel's 'Quantitative Invisibility' algorithm and fundamental concept of 'back face culling'. Input data considered in this algorithm can be distinguished from those considered for HLR algorithm in general. The original QI algorithm can be applied for the polyhedron models. During preprocessing step of our proposed algorithm, the self intersecting surfaces in the view direction are divided along the silhouette curves so that the QI algorithm can be applied. By this way the algorithm can be used for any triangulated freeform surfaces. A major advantage of this algorithm is the applicability to general CAD models and surface-based visualization data.

전력선통신 기반의 선박용 M모A 프로토콜 브릿지 구현 (Implementation of Ship Area Network NMEA protocol Bridge Based on Power Line Communication)

  • 김관형;강성인;전재환;권오현;오암석;조현철
    • 한국정보통신학회논문지
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    • 제14권11호
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    • pp.2419-2422
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    • 2010
  • 현재 선박용 통신 네트워크의 구성은 RS-422, RS-485, CAN, EtherNet 기반의 물리계층으로 NMEA0183, NMEA2000, MiTS(Maritime information Technology Standards) 프로토콜을 지원하도록 설계하고 있다. 특히, 기존의 선박통신은 별도의 전용선을 설치해야하는 단점이 있다. 그러나, 기존의 통신방식과 달리 전력선 통신은 선박내부에서 사용하고 있는 AC220V /DC24V을 그대로 사용하는 장점이 있다. 그러므로, 본 논문에서는 이러한 물리계층을 지원하도록 선박내부의 전력선 통신망을 설계하여 NMEA0183 프로토콜을 지원하는 DC-전력선 통신(DC-PLC : DC-Power Line Communication) 기반의 브릿지를 설계하고자 한다.

Power line interference noise elimination method based on independent component analysis in wavelet domain for magnetotelluric signal

  • Cao, Xiaoling;Yan, Liangjun
    • Geosystem Engineering
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    • 제21권5호
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    • pp.251-261
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    • 2018
  • With the urbanization in recent years, the power line interference noise in electromagnetic signal is increasing day by day, and has gradually become an unavoidable component of noises in magnetotelluric signal detection. Therefore, a kind of power line interference noise elimination method based on independent component analysis in wavelet domain for magnetotelluric signal is put forward in this paper. The method first uses wavelet decomposition to change single-channel signal into multi-channel signal, and then takes advantage of blind source separation principle of independent component analysis to eliminate power line interference noise. There is no need to choose the layer number of wavelet decomposition and the wavelet base of wavelet decomposition according to the observed signal. On the treatment effect, it is better than the previous power line interference removal method based on independent component analysis. Through the de-noising processing to actual magnetotelluric measuring data, it is shown that this method makes both the apparent resistivity curve near 50 Hz and the phase curve near 50 Hz become smoother and steadier than before processing, i.e., it effectively eliminates the power line interference noise.

지면 평행 직선의 3차원 방향 추정에 의한 비전 기반 파렛트 측정 방법 (A Vision Based Pallet Measurement Method by Estimating 3D Direction of A Line Parallel to The Ground)

  • 김민환;변성민
    • 한국멀티미디어학회논문지
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    • 제23권10호
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    • pp.1229-1235
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    • 2020
  • A line parallel to the ground is frequently shown in our daily life, which enables us to guess its direction. Especially, such a guess tends to become clear when a vanishing line of the ground is shown together. In this paper, a vision based pallet measurement method is suggested, which uses a technique for estimating three-dimensional direction of a line parallel to the ground. The technique computes actually a vector heading to intersection of a given imaged line parallel to the ground and the ground vanishing line determined previously on calibrating a measurement camera. Through an experiment of measuring a real commercial pallet with various orientation and distance, we found that the technique could measure the orientation of the pallet correctly and accurately. The technique worked well even though an edge line available on the front plane of a pallet was almost parallel to the ground vanishing line.

적응퍼지-뉴럴네트워크를 이용한 비선형 공정의 온-라인 모델링 (on-line Modeling of Nonlinear Process Systems using the Adaptive Fuzzy-neural Networks)

  • 오성권;박병준;박춘성
    • 대한전기학회논문지:전력기술부문A
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    • 제48권10호
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    • pp.1293-1302
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    • 1999
  • In this paper, an on-line process scheme is presented for implementation of a intelligent on-line modeling of nonlinear complex system. The proposed on-line process scheme is composed of FNN-based model algorithm and PLC-based simulator, Here, an adaptive fuzzy-neural networks and HCM(Hard C-Means) clustering method are used as an intelligent identification algorithm for on-line modeling. The adaptive fuzzy-neural networks consists of two distinct modifiable sturctures such as the premise and the consequence part. The parameters of two structures are adapted by a combined hybrid learning algorithm of gradient decent method and least square method. Also we design an interface S/W between PLC(Proguammable Logic Controller) and main PC computer, and construct a monitoring and control simulator for real process system. Accordingly the on-line identification algorithm and interface S/W are used to obtain the on-line FNN model structure and to accomplish the on-line modeling. And using some I/O data gathered partly in the field(plant), computer simulation is carried out to evaluate the performance of FNN model structure generated by the on-line identification algorithm. This simulation results show that the proposed technique can produce the optimal fuzzy model with higher accuracy and feasibility than other works achieved previously.

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Updating calibration of CIV-based single-epoch black hole mass estimators

  • Park, Daeseong;Barth, Aaron J.;Woo, Jong-Hak;Malkan, Matthew A.;Treu, Tommaso;Bennert, Vardha N.;Pancoast, Anna
    • 천문학회보
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    • 제41권2호
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    • pp.61.1-61.1
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    • 2016
  • Black hole (BH) mass is a fundamental quantity to understand BH growth, galaxy evolution, and connection between them. Thus, obtaining accurate and precise BH mass estimates over cosmic time is of paramount importance. The rest-frame UV CIV ${\lambda}1549$ broad emission line is commonly used for BH mass estimates in high-redshift AGNs (i.e., $2{\leq}z{\leq}5$) when single-epoch (SE) optical spectra are available. Achieving correct and accurate calibration for CIV-based SE BH mass estimators against the most reliable reverberation-mapping based BH mass estimates is thus practically important and still useful. By performing multi-component spectral decomposition analysis to obtained high-quality HST UV spectra for the updated sample of local reverberation-mapped AGNs including new HST STIS observations, CIV emission line widths and continuum luminosities are consistently measured. Using a Bayesian hierarchical model with MCMC sampling based on Hamiltonian Monte Carlo algorithm (Stan NUTS), we provide the most consistent and accurate calibration of CIV-based BH mass estimators for the three line width characterizations, i.e., full width at half maximum (FWHM), line dispersion (${\sigma}_{line}$), and mean absolute deviation (MAD), in the extended BH mass dynamic range of log $M_{BH}/M_{\odot}=6.5-9.1$.

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