• 제목/요약/키워드: processing characteristics

검색결과 5,937건 처리시간 0.042초

저주파진동 해석을 위한 데이터처리기법 연구 (Power Spectrum Estimation on the Signals with Low Frequency)

  • 천영수;조남규;이리형
    • 전산구조공학
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    • 제10권4호
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    • pp.185-193
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    • 1997
  • 대형 건축물의 진동과 같은 초저주파 진동특성의 해석을 수행하기 위해서는 측정대상 및 측정조건, 그리고 목적으로 하는 측정요소에 적합한 측정시스템이 구축되어야 하며, 구축된 측정시스템으로부터 얻어진 극히 제한된 유한량의 데이터로부터 목적하는 특성요소를 추출하기 위한 정밀한 데이터분석기술이 요구된다. 따라서, 본 연구에서는 고신뢰성을 저주파진동 특성의 분석을 위한 효과적인 데이터처리기법의 개발을 목표로, 측정조건에 따른 저주파진동 해석의 문제점을 분석하고, FFT법과 MEM법의 저주파응답 특성을 비교하였으며, 비교결과를 토대로 저주파진동 해석에 적합한 알고리즘을 결정하였다. 또한, 결정된 분석 알고리즘의 성능을 명확히 하여 정밀분석을 위한 측정데이터의 최적조건을 제시하였다.

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원거리 플라즈마 ALD법으로 증착한 ZrN박막의 특성 연구 (Characteristics of ZrN Films Deposited by Remote PEALD Method Using TDEAZ Precursor)

  • 조승찬;황윤철;이근우;한세진;김인배;전형탁;김양도
    • 한국재료학회지
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    • 제15권9호
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    • pp.594-597
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    • 2005
  • The barrier characteristics of ZrN films deposited by remote plasma enhanced atomic layer deposition(PEALD) using TDEAZ and $N_2$ remote plasma have been investigated under various deposition conditions such as temperatures, plasma power and processing pressures. ZrN films showed generally improved properties as the processing temperature, pressure and plasma power increased. The optimized processing temperature, plasma power and pressure were $300^{\circ}C$, 200 Watt and 1 torr. respectively ZrN films deposited at the optimized processing conditions showed the carbon contents and resistivity of $6at.\%$ and $400{\mu}{\Omega}cm$ respectively.

WT-Heuristics: 스트림 데이터 환경에서의 효율적인 필터 연산자 순서화 기법 (WT-Heuristics: An Efficient Filter Operator Ordering Technology in Stream Data Environments)

  • 민준기
    • 정보처리학회논문지D
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    • 제15D권2호
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    • pp.163-170
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    • 2008
  • 인터넷과 인트라넷의 확산에 따라, 스트림 데이터 처리 (stream data processing) 와 같은 새로운 분야가 등장하게 되었다. 스트림 데이터는 실시간적이고 연속적으로 생성된다. 본 논문에서는 시간에 따라서 예측할 수 없게 특성이 바뀌는 데이터 스트림에 대한 처리에 대하여 다룬다. 특별히, 본 논문에서는 스트림 데이터에 대한 질의문을 구성하는 연산자들 간의 효율적인 수행 순서 생성 기법인 WT-Heuristics를 제안한다. WT-Heuristics 기법은 연산 실행 순서에서 인접한 두 연산자들의 연산 순서만을 고려함으로써 효율적으로 연산자 순서를 결정할 수 있다. 또한 본 논문에서 제안하는 방법은 시스템의 부담을 적게 주면서도 데이터의 변화에 따라 수행 순서를 변화시킨다.

플라즈마 전해산화법에 의해 형성된 알루미늄 합금의 양극산화피막 내마모 특성에 관한 연구 (A Study on the Wear Resistance Characteristics of Anodic Oxide Films Formed on Aluminium alloy using a Plasma Electrolytic Oxidation)

  • 정우철;진연호;최진주;양재교
    • 한국표면공학회지
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    • 제51권6호
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    • pp.381-386
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    • 2018
  • In this study, plasma electrolytic oxidation (PEO) method was used to from anodic oxide films on Al alloy and their resistance and morphological characteristics were investigated as a function of film formation voltage and treatment time. Cross-sectional morphology and composition of the PEO films were analyzed by SEM (Scanning Electron Microscopy) and EDS (Energy Dispersive Spectroscopy). The PEO films showed increased surface roughness and thickness with of film formation voltage and treatment time. The wear resistance was found to be the best for the PEO film formed for 5 min at 500V which is attributed to be denser structure relatively and lower surface roughness.

Analysis of Trends of Medical Image Processing based on Deep Learning

  • Seokjin Im
    • International Journal of Advanced Culture Technology
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    • 제11권1호
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    • pp.283-289
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    • 2023
  • AI is bringing about drastic changes not only in the aspect of technologies but also in society and culture. Medical AI based on deep learning have developed rapidly. Especially, the field of medical image analysis has been proven that AI can identify the characteristics of medical images more accurately and quickly than clinicians. Evaluating the latest results of the AI-based medical image processing is important for the implication for the development direction of medical AI. In this paper, we analyze and evaluate the latest trends in AI-based medical image analysis, which is showing great achievements in the field of medical AI in the healthcare industry. We analyze deep learning models for medical image analysis and AI-based medical image segmentation for quantitative analysis. Also, we evaluate the future development direction in terms of marketability as well as the size and characteristics of the medical AI market and the restrictions to market growth. For evaluating the latest trend in the deep learning-based medical image processing, we analyze the latest research results on the deep learning-based medical image processing and data of medical AI market. The analyzed trends provide the overall views and implication for the developing deep learning in the medical fields.

아날로그 PRML 디코더를 위한 아날로그 병렬처리 회로의 전향 차동 구조 (Feed forward Differential Architecture of Analog Parallel Processing Circuits for Analog PRML Decoder)

  • 마헤스워 샤퍄라;양창주;김형석
    • 전기학회논문지
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    • 제59권8호
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    • pp.1489-1496
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    • 2010
  • A feed forward differential architecture of analog PRML decoder is investigated to implement on analog parallel processing circuits. The conventional PRML decoder performs the trellis processing with the implementation of single stage in digital and its repeated use. The analog parallel processing-based PRML comes from the idea that the decoding of PRML is done mainly with the information of the first several number of stages. Shortening the trellis processing stages but implementing it with analog parallel circuits, several benefits including higher speed, no memory requirement and no A/D converter requirement are obtained. Most of the conventional analog parallel processing-based PRML decoders are differential architecture with the feedback of the previous decoded data. The architecture used in this paper is without feedback, where error metric accumulation is allowed to start from all the states of the decoding stage, which enables to be decoded without feedback. The circuit of the proposed architecture is simpler than that of the conventional analog parallel processing structure with the similar decoding performance. Characteristics of the feed forward differential architecture are investigated through various simulation studies.

화상처리(畵像處理) 시스템을 이용(利用)한 과일의 기하학적(幾何學的) 특성(特性) 측정(測定) (Measurement of Geometrical Characteristics of Fruit by Image Processing System)

  • 노상하;류관희;김일웅
    • Journal of Biosystems Engineering
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    • 제15권1호
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    • pp.23-32
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    • 1990
  • Geometrical characteristics of fruit including perimeter, projected area and length of minor and major axis were calculated by computer programs to be used in fruit sorting by image processing system. The results are summerized as follows. 1. A program calculating perimeter, projected area, and length of minor and major axis by edge detection and chain code was developed. 2. Geometrical characteristics of given figures were calculated to verify the program and the discrepancies from the measured values were about 5%. 3. Regression models for estimating volums of apples were developed and regression coefficients for each variety were found. 4. Abnormal apples could be recognized by comparing the ratio of minor axis to major axis and the standard value was proposed.

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액막형 동축노즐의 2상 난류분사의 미립화 특성에 관한 실험적 연구 (An Experimental Study on the Atomization Characteristics of a Two-Phase Turbulent Jet of Liquid Sheet Type Co-Axial Nozzle)

  • 노병준;강신재;오제하
    • 대한기계학회논문집
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    • 제19권6호
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    • pp.1529-1538
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    • 1995
  • In this study, a liquid sheet type co-axial nozzle has been used to investigate the turbulent atomization characteristics which could result in the experimental data to be used in designing a jet nozzle with high performance. Image processing technique and immersion sampling method were employed to measure droplet size. In atomizing characteristics, droplet size distributions and absolute droplet sizes, SMD(Sauter Mean Diameter) have been investigated in the wide ranges of flow field depending upon the air-water mass ratios. And the comparisons between the present data and the semi-empirical curves have been conducted semi-empirical correlation for SMD has been derived in the present analysis.

The Visual Inspection of Key Pad Parts Using a Fuzzy Binarization Algorithm

  • Kim, Young-Baek;Lee, Hong-Chang;Rhee, Sang-Yong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제11권3호
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    • pp.211-216
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    • 2011
  • The detection of defective parts in a factory is usually performed by the human eye. Therefore, heavy manpower is in demand for minor enterprises. An image processing system is desired to solve this drawback. However, due to the variety of the products characteristics, an general algorithm is needed that can adapt to these characteristics. Therefore, in this paper, the key pad parts' characteristics which need to be dealt with are analyzed in order to embody the image processing algorithm that is suggested. The experimental results show the probability of detecting a defective part is 95% with a detection time of 0.203 seconds, on the average.

착륙 실험에 의한 이중차분 위치영역 Hatch 필터의 성능 분석 (Performance Evaluation of Double-Differencing Position-Domain Hatch Filter By a Landing Experiment)

  • 김희성;주정민;이형근
    • 한국항공운항학회지
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    • 제18권1호
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    • pp.19-26
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    • 2010
  • To expand the application area of global navigation satellite systems, precision landing is one of the most critical area to be solved. For the development and validation of the precision landing system, many aspects need to be analyzed including the system architecture, signal characteristics, atmospheric delay, communication delay, accuracy, integrity, and availability. Among them, the signal characteristics analysis requires the processing of measurements collected by real-flight experiments. This paper presents the processing results of the real measurements collected by a flight and landing experiment. To process and analyze the data, double differencing position-domain hatch filter is utilized. Accuracy of the proposed filter is evaluated utilizing reference trajectory generated by commercial software. Finally, by comparing with conventional range domain characteristics of position domain filter is analyzed.