• 제목/요약/키워드: Pattern Processing

검색결과 2,350건 처리시간 0.031초

AE 신호를 위한 새로운 DWT 기저함수 제안 및 적용 (Proposition and Application of Novel DWT Mother Function for AE signature)

  • 구동식;김재구;최병근
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2011년도 춘계학술대회 논문집
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    • pp.582-587
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    • 2011
  • Acoustic Emission(AE) is widely used for early detection of faults for rotating machinery in these days because of its high sensitivity. AE signal has to need for transferring to low frequency range for the spectrum analysis included the fault mechanism. In transferring process, we lose a lot of fault information caused by unusable signal processing method. Discrete Wavelet Transform(DWT) is a method of signal processing for AE signatures, but the pattern of its mother function is not optimized with AE signals. So, we can lose the fault information when we want to use the DWT for AE signal. Therefore, in this paper, we will propose a novel pattern for DWT mother function, which is optimized with AE signals. And it will be applied to compare the results of DWT by daubechie and novel pattern.

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Finishing 용 전자빔 집속 장치의 성능 실험 (Performance Experiment of Electron Beam Convergence Instrument)

  • 임선종
    • 한국레이저가공학회지
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    • 제18권3호
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    • pp.6-8
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    • 2015
  • Finishing process includes deburring, polishing and edge radiusing. It improves the surface profile of specimen and eliminates the alien substance on surface. Deburring is the elimination process for debris of edges. Polishing lubricates surfaces by rubbing or chemical treatment. There are two types for electron finishing. The one is using pulse beam. The other is using the convergent and scanning electron beam. Pulse type device appropriates the large area process. But it does not control the beam dosage. Scanning type device has advantages for dosage control and edge deburring. We design the convergence and scan type. It has magnetic lenses for convergence and scan device for scanning beam. Magnetic lenses consist of convergent and objective lens. The lenses are designed by the specification(beam size and working distance). In this paper, we evaluate the convergence performance by pattern process. Also, we analysis the results and important factors for process. The important factors for process are beam size, pressure, stage speed and vacuum. These results will be utilized into systematizing pattern shape and the factors.

An Anomaly Detection Algorithm for Cathode Voltage of Aluminum Electrolytic Cell

  • Cao, Danyang;Ma, Yanhong;Duan, Lina
    • Journal of Information Processing Systems
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    • 제15권6호
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    • pp.1392-1405
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    • 2019
  • The cathode voltage of aluminum electrolytic cell is relatively stable under normal conditions and fluctuates greatly when it has an anomaly. In order to detect the abnormal range of cathode voltage, an anomaly detection algorithm based on sliding window was proposed. The algorithm combines the time series segmentation linear representation method and the k-nearest neighbor local anomaly detection algorithm, which is more efficient than the direct detection of the original sequence. The algorithm first segments the cathode voltage time series, then calculates the length, the slope, and the mean of each line segment pattern, and maps them into a set of spatial objects. And then the local anomaly detection algorithm is used to detect abnormal patterns according to the local anomaly factor and the pattern length. The experimental results showed that the algorithm can effectively detect the abnormal range of cathode voltage.

광 스페클 패턴 변화를 이용한 침입자 탐지용 디지털 신호처리 시스템 구현 및 성능 분석 (Implementation and Analysis of Digital Signal Processing System for Intruder Detection using the Variations of the Optical Speckle Patterns)

  • 김인수;강진석;김기만
    • 한국전자파학회논문지
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    • 제15권4호
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    • pp.360-367
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    • 2004
  • 본 논문에서는 감도와 신뢰성이 높은 멀티모드 광섬유에서 스페클 패턴(speckle pattern) 변화를 이용한 침입자 탐지용 디지털 신호처리 시스템을 구현하였다. 구현된 시스템의 성능은 실측 데이터로부터 분석되었다. 아울러 성능을 향상시키기 위하여 적응 디지털 필터를 도입하였다. 실험 결과 침입자 탐지는 96 % 이상이었으며, 사람과 차량을 구분하는 성능은 평균 90 %로 나타났다.

On a Novel Way of Processing Data that Uses Fuzzy Sets for Later Use in Rule-Based Regression and Pattern Classification

  • Mendel, Jerry M.
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제14권1호
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    • pp.1-7
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    • 2014
  • This paper presents a novel method for simultaneously and automatically choosing the nonlinear structures of regressors or discriminant functions, as well as the number of terms to include in a rule-based regression model or pattern classifier. Variables are first partitioned into subsets each of which has a linguistic term (called a causal condition) associated with it; fuzzy sets are used to model the terms. Candidate interconnections (causal combinations) of either a term or its complement are formed, where the connecting word is AND which is modeled using the minimum operation. The data establishes which of the candidate causal combinations survive. A novel theoretical result leads to an exponential speedup in establishing this.

통행량 분석을 위한 보행자 패턴 추출 시스템 (Analysis of Pedestrian Pattern for Pedestrian Counting Systems)

  • 강유현;권미소;한희정;조동섭
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2016년도 춘계학술발표대회
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    • pp.640-641
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    • 2016
  • There are a number of reported papers about detection and tracking of pedestrian for urban design. While related studies have not dealt with various environmental situations, this paper proposes a pedestrian counting system using pedestrian pattern for overcoming technical limitations. The Pedestrian Algorithm uses four steps to count the number of pedestrians for analyzing the pedestrian pattern according to the characteristics of the foot patterns of pedestrians.

디지털 홀로그래피를 이용한 one-time pattern 상호 인증 방법 (One-time Pattern Mutual Authentication Method by using Digital Holography)

  • 길상근
    • 전기전자학회논문지
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    • 제20권3호
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    • pp.291-294
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    • 2016
  • 본 논문은 새로운 광학적 일회용 패턴암호 상호 인증 방법을 제안한다. 이 방법은 2-단계 위상천이 디지털 홀로그래피 기법을 사용하여 이중 인증을 제공하고, 광학적 일회용 패턴암호를 상호 양방향으로 시도-응답 악수 기법을 구현하여 양방향 인증을 수행한다. 클라이언트와 서버는 상호 인증시 일회용 패턴암호를 무작위 수로 선택하여 오직 한번만 사용하고 이를 암호화하여 전송하기 때문에, 되풀이 공격이나 중간자 공격과 같은 암호공격으로부터 암호시스템을 보호하고 보안수준을 한층 더 높일 수 있다.

초분광영상의 분광반사 패턴을 이용한 표적탐지 알고리즘 개발 (Development of a Target Detection Algorithm using Spectral Pattern Observed from Hyperspectral Imagery)

  • 신정일;이규성
    • 한국군사과학기술학회지
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    • 제14권6호
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    • pp.1073-1080
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    • 2011
  • In this study, a target detection algorithm was proposed for using hyperspectral imagery. The proposed algorithm is designed to have minimal processing time, low false alarm rate, and flexible threshold selection. The target detection procedure can be divided into two steps. Initially, candidates of target pixel are extracted using matching ratio of spectral pattern that can be calculated by spectral derivation. Secondly, spectral distance is computed only for those candidates using Euclidean distance. The proposed two-step method showed lower false alarm rate than the Euclidean distance detector applied over the whole image. It also showed much lower processing time as compared to the Mahalanobis distance detector.

전자처리 스페클 패턴 간섭법(ESPI)을 이용한 복합재료의 진동 특성 해석에 관한 연구 (A Study on the Vibration Characteristics Analysis of Composite Materials by Using Electronic Speckle Pattern Interferometry Method)

  • 김경석;정성균;정현철;양승필;김형택;김동일;이승환
    • 한국정밀공학회지
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    • 제15권9호
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    • pp.68-74
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    • 1998
  • The ESPI(Electronic Speckle Pattern Interferometry) is a real time, full-field, non-destructive optical measurement technique that allows static and dynamic deformation analysis and surface shape measurements of engineering structures. e .g. turbine blades. vehicle engine components, body panels, etc. This technique is very similar to holographic interferometry, but uses a solid static camera and an image processing board for recording and digital processing of speckle patterns. In this paper it is presented that FEM results for the free vibration of symmetrically laminated composite as [30/-30/90]s. The natural frequencies of laminated composite rectangular plates having the particular boundary condition are experimentally obtained. In order to demonstrate the validity of the experiment, FEM analysis using ANSYS was performed and natural frequencies experimentally obtained is compared with calculation by FEM analysis. The results obtained from both experiment and FEM analysis show a good agreement.

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Molecular Computing with Artificial Neurons

  • Michael Conrad;Zauner, Klaus-Peter
    • 정보과학회지
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    • 제18권8호
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    • pp.78-89
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    • 2000
  • Today's computers are built up from a minimal set of standard pattern recognition operations. Logic gates, such as NAND, are common examples. Biomolecular materials offer an alternative approach, both in terms of variety and context sensitivity. Enzymes, the basic switching elements in biological cells, are notable for their ability to discriminate specific molecules in a complex background and to do so in a manner that is sensitive to particular milieu features and indifferent to others, The enzyme, in effect, is a powerful context sensitivity pattern processor that in a rough way can be analogized to a neuron whose input-output behavior is controlled by enzymatic dynamics.

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