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몬테카를로 시뮬레이션을 이용한 확률론적 파괴역학 수법의 적용성 검토 (Application of Probabilistic Fracture Mechanics Technique Using Monte Carlo Simulation)

  • 이준성;곽상록;김영진
    • 한국정밀공학회지
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    • 제18권10호
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    • pp.154-160
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    • 2001
  • For major structural components periodic inspections and integrity assessments are needed for the safety. However, many flaws are undetectable because sampling inspection is carried out during in-service inspection. Probabilistic integrity assessment is applied to take into consideration of uncertainty and variance of input parameters arise due to material properties and undetectable cracks. This paper describes a Probabilistic Fracture Mechanics(PFM) analysis based on the Monte Carlo(MC) algorithms. Taking a number of sampling data of probabilistic variables such as fracture toughness value, crack depth and aspect ratio of an initial surface crack, a MC simulation of failure judgement of samples is performed. for the verification of this analysis, a comparison study of the PFM analysis using a commercial code, mathematical method is carried out and a good agreement was observed between those results.

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난류확산화염의 화염구조와 연소특성에 관한 실험적 연구 (An Experimental Study on Flame Structure and Combustion Characteristics of Turbulent Diffusion Flame(I))

  • 최병륜;장인갑;최경민
    • 대한기계학회논문집B
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    • 제20권3호
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    • pp.1028-1039
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    • 1996
  • This study was focused on the examination of the flame structure and the combustion characteristics of diffusion flame which was formed the turbulent shear flow of a double coaxial air jet system. The shear flow was formed by the difference velocity of surrounding air jet(U$\_$s/) and center air jet (U$\_$c/). So experimental condition was divided S-type flame (.lambda. > 1) and C-type flame (.lambda. < 1) by velocity ratio .lambda. (=U$\_$s//U$\_$c/). For examination of the flame structure and the combustion characteristics in diffusion flame, coherent structure was observed in flame by schlieren photograph method. We measured fluctuating temperature and ion current simultaneously and accomplished the statistical analysis of its. According to schlieren photograph, the flame was stabilized in the rim of the direction of lower velocity air jet, coherent eddy was produced and developed by higher velocity air jet. The statistical data of fluctuating temperature and ion current was indicated that reaction was dominated by higher velocity air jet. The mixing state of burnt gas and non-burnt gas was distributed the wide area at Z = 100 mm of C-type flame.

ECG Denoising by Modeling Wavelet Sub-Band Coefficients using Kernel Density Estimation

  • Ardhapurkar, Shubhada;Manthalkar, Ramchandra;Gajre, Suhas
    • Journal of Information Processing Systems
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    • 제8권4호
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    • pp.669-684
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    • 2012
  • Discrete wavelet transforms are extensively preferred in biomedical signal processing for denoising, feature extraction, and compression. This paper presents a new denoising method based on the modeling of discrete wavelet coefficients of ECG in selected sub-bands with Kernel density estimation. The modeling provides a statistical distribution of information and noise. A Gaussian kernel with bounded support is used for modeling sub-band coefficients and thresholds and is estimated by placing a sliding window on a normalized cumulative density function. We evaluated this approach on offline noisy ECG records from the Cardiovascular Research Centre of the University of Glasgow and on records from the MIT-BIH Arrythmia database. Results show that our proposed technique has a more reliable physical basis and provides improvement in the Signal-to-Noise Ratio (SNR) and Percentage RMS Difference (PRD). The morphological information of ECG signals is found to be unaffected after employing denoising. This is quantified by calculating the mean square error between the feature vectors of original and denoised signal. MSE values are less than 0.05 for most of the cases.

토양수분 확률밀도함수로 살펴본 가뭄발생에 대한 기후변화의 영향 (Estimating Climate Change Impact on Drought Occurrence Based on the Soil Moisture PDF)

  • 최대규;안재현;조덕준;김상단
    • 한국수자원학회논문집
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    • 제43권8호
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    • pp.709-720
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    • 2010
  • 본 연구에서는 개념적인 토양수분 모형을 이용하여 가뭄에 대한 기후변화의 영향을 모형화하고, 모형으로부터의 결과를 분석하고 있다. 미래 기후자료로서 A2 온실가스 배출 시나리오에 따라 CCCma CGCM3-T63에 의해 도출된 자료가 이용되며, 일별 강수분포 및 월별 강수량 및 잠재증발산량의 변화를 고려하기 위하여 일별 스케일링 기법이 적용된다. 모형으로부터 도출된 주요결과로부터 미래에는 우리나라에 보다 잦은 가뭄이 있을 수 있음을 살펴볼 수 있다.

확률론적 파괴역학을 도입한 CANDU 압력관의 예리한 결함에 대한 건전성평가 (Integrity Assessment of Sharp Flaw in CANDU Pressure Tube Using Probabilistic Fracture Mechanics)

  • 이준성;곽상록;김영진;박윤원
    • 대한기계학회논문집A
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    • 제26권4호
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    • pp.653-659
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    • 2002
  • This paper describes a probabilistic fracture mechanics(PFM) analysis based on Monte Carlo(MC) simulation. In the analysis of CANDU pressure tube, the depth and aspect ratio of an initial semi-elliptical surface crack, a fracture toughness value and delayed hydride cracking(DHC) velocity are assumed to be probabilistic variables. As an example, some failure probabilities of piping and CANDU pressure tube are calculated using MC method with the stratified sampling MC technique, taking analysis conditions of normal operations. In the stratified MC simulation, a sampling space of probabilistic variables is divided into a number of small cells. For the verification of analysis results, a comparison study of the PFM analysis using other commercial code is carried out and a good agreement was observed between those results.

Simulation of non-Gaussian stochastic processes by amplitude modulation and phase reconstruction

  • Jiang, Yu;Tao, Junyong;Wang, Dezhi
    • Wind and Structures
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    • 제18권6호
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    • pp.693-715
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    • 2014
  • Stochastic processes are used to represent phenomena in many diverse fields. Numerical simulation method is widely applied for the solution to stochastic problems of complex structures when alternative analytical methods are not applicable. In some practical applications the stochastic processes show non-Gaussian properties. When the stochastic processes deviate significantly from Gaussian, techniques for their accurate simulation must be available. The various existing simulation methods of non-Gaussian stochastic processes generally can only simulate super-Gaussian stochastic processes with the high-peak characteristics. And these methodologies are usually complicated and time consuming, not sufficiently intuitive. By revealing the inherent coupling effect of the phase and amplitude part of discrete Fourier representation of random time series on the non-Gaussian features (such as skewness and kurtosis) through theoretical analysis and simulation experiments, this paper presents a novel approach for the simulation of non-Gaussian stochastic processes with the prescribed amplitude probability density function (PDF) and power spectral density (PSD) by amplitude modulation and phase reconstruction. As compared to previous spectral representation method using phase modulation to obtain a non-Gaussian amplitude distribution, this non-Gaussian phase reconstruction strategy is more straightforward and efficient, capable of simulating both super-Gaussian and sub-Gaussian stochastic processes. Another attractive feature of the method is that the whole process can be implemented efficiently using the Fast Fourier Transform. Cases studies demonstrate the efficiency and accuracy of the proposed algorithm.

셀룰러 시스템의 셀 경계에서의 하향 링크 성능 향상을 위한 Joint SD-MRC 수신 방식 (A Joint SD-MRC Method for Downlink Performance Improvement at Coverage Boundaries of Cellular Systems)

  • 이상대;장재원;성원진
    • 한국전자파학회논문지
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    • 제19권5호
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    • pp.506-514
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    • 2008
  • WiBro 시스템과 같은 최근 통신 시스템에서 대역폭 효율을 증가시키기 위해 모든 셀에서 주파수를 재사용하는 경우, 셀 경계에 위치하는 수신기는 인접 셀로부터 오는 간섭 신호로 인해 수신 성능이 열화된다. 본 논문에서는 셀룰러 시스템에서 셀 경계에서의 하향 링크 성능 향상을 위해, 다수 개의 안테나를 가진 단말기에서 활용할 수 있는 수신 방식을 제안한다. 성능 검증을 위하여 인접 셀의 간섭 신호 세기 및 단말기의 안테나 개수의 변화에 따른 유효 신호 대 간섭 잡음비의 화률 밀도 함수와 대역폭 효율을 산출한다. 제안하는 방식은 MRC(Maximum Ratio Combining) 및 SD(Spatial Multiplexing) 방식 대비 유효 신호 대 간섭 잡음비와 대역폭 효율을 큰 폭으로 향상시킴을 분석 결과로 확인할 수 있으며, 실험을 통해 그 결과를 검증한다.

Study on the Environment Information Providing Method based on Spatial Information Document

  • Choi, Byoung Gil;Na, Young Woo;Kim, Sung Pyo
    • 한국측량학회지
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    • 제34권2호
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    • pp.185-194
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    • 2016
  • The purpose of this study is to present a method to provide environment information based on spatial information document. At present, a lot of spatial information, including environment information, is being produced, but separate software or system is required for the user to acquire the information. In particular, in the case of environment information, various types of information are being produced, such as ecology, vegetation and measurement network data. Therefore, it is necessary to present the form and the making method of spatial information document that allows using environment information as spatial information without separate software or system. To provide spatial information document-based environment information, types and forms of environment information, data format and offering methods produced by the government, in particular, the Ministry of Environment and the local governments, are analyzed. 12 fields are classified and the form of produced data is GIS DB, measurement network data, text data and so on. With decrease of paper maps, spatial information document that offers display by layer, coordinate data, attribute data, distance and area measurement, location search by coordinates, GPS location linkage and location display on the map is presented to increase utilization of geo-environment information maps. Finally, the standard document specification based on spatial information document is presented in consideration of usability and readability in order to provide a variety of environment information without separate software or system.

불규칙 조명 환경에 강인한 번호판 문자 분리 기법 (Robust Scheme of Segmenting Characters of License Plate on Irregular Illumination Condition)

  • 김병현;한영준;한헌수
    • 한국컴퓨터정보학회논문지
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    • 제14권11호
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    • pp.61-71
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    • 2009
  • 자동차의 번호판은 차량의 등록 정보를 확인할 수 있는 유일한 방법이다. 불법 주정차 단속 및 주차 관리 시스템에 차량의 등록 정보를 확인하기 위해 카메라를 이용한 무인 인식시스템의 개발이 활발히 연구되고 있다. 하지만, 일반 도로상에서 날씨나 주변 장애물들은 자동차 번호판 상에 조명 변화를 일으켜 번호판 문자의 추출을 어렵게 한다. 본 논문은 번호판 영상을 개선하여 조명변화에 강인한 문자 추출 알고리즘을 제안한다. 제안하는 기법은 번호판 영상의 명암 대비도를 높이기 위해 Chi-Square 확률 밀도 함수를 이용한다. 또한, 정확한 문자영역을 추출하기 위해, 적응적인 문턱값을 적용함으로써 고품질의 이진화 영상을 얻는다. 번호판의 문자들을 추출하는 일련의 과정에서 방해가 되는 잡음들을 전처리와 레이블링을 통해 제거한다. 마지막으로 번호판의 문자들은 번호판의 기하학적 특징을 이용한 이진화 영상의 프로파일링으로부터 추출된다.

An image enhancement Method for extracting multi-license plate region

  • Yun, Jong-Ho;Choi, Myung-Ryul;Lee, Sang-Sun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권6호
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    • pp.3188-3207
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    • 2017
  • In this paper, we propose an image enhancement algorithm to improve license plate extraction rate in various environments (Day Street, Night Street, Underground parking lot, etc.). The proposed algorithm is composed of image enhancement algorithm and license plate extraction algorithm. The image enhancement method can improve an image quality of the degraded image, which utilizes a histogram information and overall gray level distribution of an image. The proposed algorithm employs an interpolated probability distribution value (PDV) in order to control a sudden change in image brightness. Probability distribution value can be calculated using cumulative distribution function (CDF) and probability density function (PDF) of the captured image, whose values are achieved by brightness distribution of the captured image. Also, by adjusting the image enhancement factor of each part region based on image pixel information, it provides a function that can adjust the gradation of the image in more details. This processed gray image is converted into a binary image, which fuses narrow breaks and long thin gulfs, eliminates small holes, and fills gaps in the contour by using morphology operations. Then license plate region is detected based on aspect ratio and license plate size of the bound box drawn on connected license plate areas. The images have been captured by using a video camera or a personal image recorder installed in front of the cars. The captured images have included several license plates on multilane roads. Simulation has been executed using OpenCV and MATLAB. The results show that the extraction success rate is more improved than the conventional algorithms.