• 제목/요약/키워드: Robust calibration

검색결과 105건 처리시간 0.033초

호모그래피와 주성분 분석을 이용한 실루엣 기반 걸음걸이 인식 (Silhouette-based Gait Recognition Using Homography and PCA)

  • 정승도;김수선;조태경;최병욱;조정원
    • 한국콘텐츠학회논문지
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    • 제6권1호
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    • pp.31-40
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    • 2006
  • 본 논문에서는 걸음걸이 실루엣 영상을 이용한 걸음걸이 인식 방법을 제안한다. 걸음걸이 특징 정보는 걸음걸이의 방향 변화에 많은 영향을 받는다. 따라서 본 논문에서는 평면 호모그래피를 이용하여 실루엣을 고유시점으로 재구성함으로써 방향변화의 영향을 줄이고자 한다. 이때, 평면 호모그래피는 카메라 보정과 같은 복잡한 계산과정 없이 걸음걸이 시퀀스 정보만을 이용하여 추정된다. 동일인의 걸음걸이 실루엣이라 하더라도 배경 제거시의 에러 등으로 인해 공통적인 특성에서 벗어나는 영역이 존재한다. 각 개인의 동일 특성에서 벗어나는 특성을 분석하기 위하여, 본 논문에서는 주성분 분석 기법을 사용한다. 그러나 일반적인 패턴 분류에 적용되는 주성분 분석 기법과는 달리 본 논문에서는 공통적인 특성에서 벗어나는 정도의 판단과 그에 따르는 가중치 부여 기준으로써 사용한다. 실험결과 제안하는 걸음걸이 인식 기법은 걸음걸이 방향 변화에 강인하고, 분별력을 향상시킬 수 있음을 확인하였다.

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Estimation of Moisture Content in Comminuted Miscanthus based on the Intensity of Reflected Light

  • Cho, Yongjin;Lee, Dong Hoon
    • Journal of Biosystems Engineering
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    • 제40권3호
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    • pp.296-304
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    • 2015
  • Purpose: The balance between miscanthus production and its cost effectiveness depends greatly on its moisture content during post processing. The objective of this research was to measure the moisture content using a non-destructive and non-contact methodology for in situ applications. Methods: The moisture content of comminuted miscanthus was controlled using a closed chamber, a humidifier, a precision weigher, and a real-time monitoring software developed in this research. A CMOS sensor equipped with $50{\times}$ magnifier lens was used to capture magnified images of the conditioned materials with moisture content level from 5 to 30%. The hypothesis is that when light is incident on the comminuted particles in an inclined manner, higher moisture content results in light being reflected with a higher intensity. Results: A linear regression analysis for an initiative hypothesis based on general histogram analysis yielded insufficient correlations with low significance level (<0.31) for the determination coefficient. A significant relationship (94% confidence level) was determined at level 108 in a reverse accumulative histogram proposed based on a revised hypothesis. A linear regression model with the value at level 108 in the reverse accumulative histogram for a magnified image as the independent variable and the moisture content of comminuted miscanthus as the dependent variable was proposed as the estimation model. The calibrated linear regression model with a slope of 92.054 and an offset of 32.752 yielded 0.94 for the determination coefficient (RMSE = 0.2%). The validation test showed a significant relationship at the 74% confidence level with RMSE 6.4% (n = 36). Conclusions: To compensate the inconsistent significance between calibration and validation, an estimation model robust against various systematic interferences is necessary. The economic efficiency of miscanthus, which is a promising energy resource, can be improved by the real-time measurement of its crucial material properties.

Use of Near Infrared Spectroscopy in the Meat Industry

  • Akselsen, Thorvald M.
    • 한국축산식품학회:학술대회논문집
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    • 한국축산식품학회 2000년도 국제심포지엄 및 제26차 추계학술발표회
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    • pp.1-14
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    • 2000
  • The Near Infrared region of the energy spectrum was first discovered by Hershel in the year 1800. The principles of NIR is based on light absorption of specific organic chemical bonds. The absorption at each wavelength is measured and a spectre is obtained. The spectre is then treated mathematically and with the absorption data is converted to absolute units via a calibration. In the last two decades it has developed dramatically. With the invention of computers and the ability to treat a large amount of data in a very short time the use of NIR for many different purposes has developed very fast. During the last decade with the aid of very powerful PC's the application of NIR technology has become even more widespread. Now or days development of very robust calibrations can be done in a relatively short time with a minimum of resources. The use of Near Infrared Spectroscopy (NIR) in the Meat industry is relatively new. The first installations were taken into operation in the 80ties. The Meat Industry in often referred to as rather conservative and slow to embrace new technologies, they stay with the old and proven methods. The first NIR instruments used by the Meat Industry, and most other industries, were multipurpose build, which means that the sample presentation was not well suited to this particular application, or many other applications for that sake. As the Meat Industry grows and develops to meet the demands of the modern markets, they realise the need for better control of processes and final products. From the early 90 ties and onward the demand for 'rear time' rapid results starts growing, and some suppliers of NIR instruments (and instruments based on other technologies, like X-ray) start to develop and manufacture instrumentation dedicated to the particular needs of the Meat Industry. Today it is estimated that there are approximately 2000 rapid instruments placed in the Meat industry world-wide. By far most of these are used as at-line or laboratory installations, but the trend and need is moving towards real on-line or in-line solutions. NIR is the most cost effective and reproducible analytical procedure available for the twenty first century.

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Multi-aperture Photometry Pipeline for DEEP-South Data

  • Chang, Seo-Won;Byun, Yong-Ik;Kim, Myung-Jin;Moon, Hong-Kyu;Yim, Hong-Suh;Shin, Min-Su;Kang, Young-Woon
    • 천문학회보
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    • 제41권1호
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    • pp.56.2-56.2
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    • 2016
  • We present a multi-aperture photometry pipeline for DEEP-South (Deep Ecliptic Patrol of the Southern Sky) time-series data, written in C. The pipeline is designed to do robust high-precision photometry and calibration of non-crowded fields with a varying point-spread function, allowing for the wholesale search and characterization of both temporal and spatial variabilities. Our time-series photometry method consists of three parts: (i) extracting all point sources with several pixel/blind parameters, (ii) determining the optimized aperture for each source where we consider whether the measured flux within the aperture is contaminated by unwanted artifacts, and (iii) correcting position-dependent variations in the PSF shape across the mosaic CCD. In order to provide faster access to the resultant catalogs, we also utilize an efficient indexing technique using compressed bitmap indices (FastBit). Lastly, we focus on the development and application of catalog-based searches that aid the identification of high-probable single events from the indexed database. This catalog-based approach is still useful to identify new point-sources or moving objects in non-crowded fields. The performance of the pipeline is being tested on various sets of time-series data available in several archives: DEEP-South asteroid survey and HAT-South/MMT exoplanet survey data sets.

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가상현실 대화용 가상걸음 장치의 지능제어 (Intelligent Control of a Virtual Walking Machine for Virtual Reality Interface)

  • 윤정원;박장우;류제하
    • 제어로봇시스템학회논문지
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    • 제12권9호
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    • pp.926-934
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    • 2006
  • This paper proposes intelligent control of a virtual walking machine that can generate infinite floor for various surfaces and can provide proprioceptive feedback of walking to a user. This machine allows users to participate in a life-like walking experience in virtual environments with various terrains. The controller of the machine is implemented hierarchically, at low-level for robust actuator control, at mid-level fur platform control to compensate the external forces by foot contact, and at high-level control for generating walking trajectory. The high level controller is suggested to generate continuous walking on an infinite floor for various terrains. For the high level control, each independent platform follows a man foot during the swing phase, while the other platform moves back during single stance phase. During double limb support, two platforms manipulate neutral positions to compensate the offset errors generated by velocity changes. This control can, therefore, satisfy natural walking conditions in any direction. Transition phase between the swing and the stance phases is detected by using simple switch sensor system, while human foot motions are sensed by careful calibration with a magnetic motion tracker attached to the shoe. Experimental results of walking simulations at level ground, slope, and stairs, show that with the proposed machine, a general person can walk naturally on various terrains with safety and without any considerable disturbances. This interface can be applied to various areas such as VR navigations, rehabilitation, and gait analysis.

Rapid Determination of Imatinib in Human Plasma by Liquid Chromatography-Tandem Mass Spectrometry: Application to a Pharmacokinetic Study

  • Yang, Jeong Soo;Cho, Eun Gi;Huh, Wooseong;Ko, Jae-Wook;Jung, Jin Ah;Lee, Soo-Youn
    • Bulletin of the Korean Chemical Society
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    • 제34권8호
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    • pp.2425-2430
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    • 2013
  • A simple, fast and robust analytical method was developed to determine imatinib in human plasma using liquid chromatography-tandem mass spectrometry with electrospray ionization in the positive ion mode. Imatinib and labeled internal standard were extracted from plasma with a simple protein precipitation. The chromatographic separation was performed using an isocratic elution of mobile phase involving 5.0 mM ammonium formate in water-5.0 mM ammonium formate in methanol (30:70, v/v) over 3.0 min on reversed-stationary phase. The detection was performed using a triple-quadrupole tandem mass spectrometer in multiple-reaction monitoring mode. The developed method was validated with lower limit of quantification of 10 ng/mL. The calibration curve was linear over 10-2000 ng/mL ($R^2$ > 0.99). The method validation parameters met the acceptance criteria. The spiked samples and standard solutions were stable under conditions for storage and handling. The reliable method was successfully applied to real sample analyses and thus a pharmacokinetic study in 27 healthy Korean male volunteers.

픽셀 비선형성 모델을 기반으로 한 영상센서 불균일 특성 보정 (CCD Non-uniformity Correction Method based on Pixel Non-Linearity Model)

  • 김영선;공종필;허행팔;박종억;용상순
    • 항공우주기술
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    • 제9권1호
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    • pp.28-34
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    • 2010
  • 균일한 광량의 빛이 카메라에 입력되었을 때 카메라 영상센서 각 픽셀은 이상적으로는 균일한 응답을 보여주어야 하지만 실제로는 그렇지 않다. 이러한 픽셀의 불균일 응답 특성은 영상품질에 직접적으로 영향을 미치지만, 고정된 형태의 잡음이므로 보정과정을 통해서 잡음을 제거할 수 있다. 영상센서 불균일 보정 방법은 특정 광량에서의 기준값만을 가지고 보정계수를 구하는 방법 등을 사용하곤 했지만, 센서의 비선형성으로 인하여 신호가 작은 경우, 혹은 반대로 아주 큰 경우에서는 보정 효과가 크지 않다. 따라서, 본 논문에서는 이러한 영상센서의 비선형 특성을 고려하여 픽셀 불균일 보정계수 계산하는 방법을 기술하고 자체 구현한 카메라와 별도의 시험셋업을 이용하여 불균일도 시험을 수행하여 알고리즘을 검증하였다. 시험결과는 비선형성 모델을 기반으로 한 보정 알고리즘을 적용했을 때, 모든 광량에서 가장 좋은 성능을 보여주었다.

NEW PHOTOMETRIC PIPELINE TO EXPLORE TEMPORAL AND SPATIAL VARIABILITY WITH KMTNET DEEP-SOUTH OBSERVATIONS

  • Chang, Seo-Won;Byun, Yong-Ik;Shin, Min-Su;Yi, Hahn;Kim, Myung-Jin;Moon, Hong-Kyu;Choi, Young-Jun;Cha, Sang-Mok;Lee, Yongseok
    • 천문학회지
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    • 제51권5호
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    • pp.129-142
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    • 2018
  • The DEEP-South (the Deep Ecliptic Patrol of the Southern Sky) photometric census of small Solar System bodies produces massive time-series data of variable, transient or moving objects as a by-product. To fully investigate unexplored variable phenomena, we present an application of multi-aperture photometry and FastBit indexing techniques for faster access to a portion of the DEEP-South year-one data. Our new pipeline is designed to perform automated point source detection, robust high-precision photometry and calibration of non-crowded fields which have overlap with previously surveyed areas. In this paper, we show some examples of catalog-based variability searches to find new variable stars and to recover targeted asteroids. We discover 21 new periodic variables with period ranging between 0.1 and 31 days, including four eclipsing binary systems (detached, over-contact, and ellipsoidal variables), one white dwarf/M dwarf pair candidate, and rotating variable stars. We also recover astrometry (< ${\pm}1-2$ arcsec level accuracy) and photometry of two targeted near-earth asteroids, 2006 DZ169 and 1996 SK, along with the small- (~0.12 mag) and relatively large-amplitude (~0.5 mag) variations of their dominant rotational signals in R-band.

Simultaneous Quantitative Determination of Nine Hallucinogenic NBOMe Derivatives in Human Plasma Using Liquid Chromatography Tandem Mass Spectrometry

  • Seo, Hyewon;Yoo, Hye Hyun;Kim, Young-Hoon;Hong, Jin;Sheen, Yhun Yhong
    • Mass Spectrometry Letters
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    • 제10권1호
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    • pp.18-26
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    • 2019
  • We developed a bioanalytical method for simultaneous determination of nine NBOMe derivatives (25H-NBOMe, 25B-NBOMe, 25E-NBOMe, 25N-NBOMe, 25C-NBOH, 25I-NBOH, 25B-NBF, 25C-NBF, and 25I-NBF) in human plasma using liquid chromatography tandem mass spectrometry (LC-MS/MS). Human plasma samples were pre-treated using solid-phase extraction. Separation was achieved on a C18 column under gradient elution using a mobile phase containing 0.1% formic acid in acetonitrile and 0.1% formic acid in water at a flow rate of 0.3 mL/min. Mass detection was performed in the positive ion mode using multiple reaction monitoring. The calibration range was 1-100 ng/mL for all quantitative analytes, with a correlation coefficient greater than 0.99. The intra- and inter-day precision and accuracy varied from 0.85 to 6.92% and from 90.19 to 108.69%, respectively. The recovery ranged from 86.36 to 118.52%, and the matrix effects ranged from 27.09 to 99.72%. The stability was acceptable in various conditions. The LC-MS/MS method was validated for linearity, accuracy, precision, matrix effects, recovery and stability in accordance with the FDA guidance. The proposed method is suitable for reliable and robust routine screening and analysis of nine NBOMe derivatives in forensic field.

Real-time Moving Object Detection Based on RPCA via GD for FMCW Radar

  • Nguyen, Huy Toan;Yu, Gwang Hyun;Na, Seung You;Kim, Jin Young;Seo, Kyung Sik
    • 한국정보기술학회논문지
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    • 제17권6호
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    • pp.103-114
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    • 2019
  • 주파수변조연속파형(FMCW) 레이더 시스템을 사용하는 이동 객체탐지가 최근 각광을 받고 있다. 레이더 객체탐지는 탐지범위 내 존재하는 고정된 객체 및 클러터들로부터 반사되는 잡음신호로 인해 매우 도전적인 문제이다. 본 논문에서는 FCMW 레이다를 이용하여 잡음배경하 이동객체탐지를 위해 강인한 주성분분석법(RPCA)을 이용한다. 먼저 원 레이더 입력신호에 보상과 보정을 적용한다. 다음 경사하강법을 사용하는 RPCA가 저계수의 성질을 갖는 잡음배경 모델을 구하기 위해 사용된다. 본 논문에서는 RPCA 계산을 위해 소요계산량이 적은 새로운 업데이트 알고리즘을 제안한다. 마지막으로 이동객체는 자동 다중스케일에 기반한 피크 탐지법에 의해 정위한다. 모든 단계는 슬라이딩 윈도우 방법 기반하여 처리된다. 제안된 방법을 타 RPCA 기반의 방법들과 다양한 실험 시나리오 상에서 비교했을 때, 처리 속도와 정확도 척도에서 우수한 결과를 보였다.