• 제목/요약/키워드: Detection map

검색결과 914건 처리시간 0.03초

Mycobacterium avium subsp. paratuberculosis 감염 초기 개체 검출을 위한 항원 탐색 및 특성 분석 (Discovery of antigens for early detection of Mycobacterium avium subsp. paratuberculosis and analysis of characteristics using bioinformatics tools)

  • 박홍태;박현의;신민경;조용일;유한상
    • 대한수의학회지
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    • 제55권2호
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    • pp.89-95
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    • 2015
  • Johne's disease, caused by Mycobacterium avium subsp. paratuberculosis (MAP), is one of the most widespread and economically important diseases in cattle. Current diagnostic methods are based on the detection of anti-MAP antibodies in serum or isolation of the causative agent. However, these techniques are often not applicable for cases of subclinical infection due to relatively low sensitivity. Therefore, finding new antigen candidates that strongly react with the host immune system had been attempted. To effectively detect infection during the subclinical stage, several antigen candidates were selected based on previous researches. Characteristics of the selected antigen candidates were analyzed using bioinformatics-based prediction tools. A total of nine antigens were selected (MAP0862, MAP3817c, MAP2077c, MAP0860c, MAP3954, MAP3155c, MAP1204, MAP1087, and MAP2963c) that have MAP-specific and/or high immune responses to infected animals. Using a transmembrane prediction tool, five of the nine antigen candidates were predicted to be membrane protein (MAP3817c, MAP3954, MAP3155c, MAP1087, and MAP1204). Some of the predicted protein structures identified using the I-TASSER server shared similarities with known proteins found in the Protein Data Bank database (MAP0862, MAP1204, and MAP2077c). In future studies, the characteristics and diagnostic efficiency of the selected antigen candidates will be evaluated.

확률맵 기반 유전자 알고리즘에 의한 입술영역 검출 (Lips Detection by Probability Map Based Genetic Algorithm)

  • 황동국;김태익;박천주;전병민;박희정
    • 한국콘텐츠학회논문지
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    • 제4권4호
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    • pp.79-87
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    • 2004
  • 본 연구에서는 인물영상에서 입술영역을 검출하기 위한 확률맵 기반 유전자 알고리즘을 제안한다. 하나의 최적해 탐색에 사용되었던 기존 유전자 알고리즘을 수정하여 입술과 같은 영역 검출에 부합하는 다수의 해를 얻도록 적용한다. 이를 위해 공간좌표를 의미하는 염색체로 각 개체를 표현하고, 보존구간, 세대수에 따른 부분 균일교배, 비중복 선택 등의 유전연산 방법을 도입한다. 또한 HSV 칼라공간에서 HS성분에 대한 확률맵을 제안하고, 이를 적용함으로써 유전자 알고리즘의 속성인 유사 색상에 대한 적응성을 더욱 증대한다. 실험을 통하여 제안 알고리즘의 성능을 좌우하는 주요 파라미터를 분석하였으며, 입술이외의 다른ROI(Region Of Interest)의 검출에도 유연하게 적응할 수 있음을 관찰하였다.

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Simple Fuzzy Rule Based Edge Detection

  • Verma, O.P.;Jain, Veni;Gumber, Rajni
    • Journal of Information Processing Systems
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    • 제9권4호
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    • pp.575-591
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    • 2013
  • Most of the edge detection methods available in literature are gradient based, which further apply thresholding, to find the final edge map in an image. In this paper, we propose a novel method that is based on fuzzy logic for edge detection in gray images without using the gradient and thresholding. Fuzzy logic is a mathematical logic that attempts to solve problems by assigning values to an imprecise spectrum of data in order to arrive at the most accurate conclusion possible. Here, the fuzzy logic is used to conclude whether a pixel is an edge pixel or not. The proposed technique begins by fuzzifying the gray values of a pixel into two fuzzy variables, namely the black and the white. Fuzzy rules are defined to find the edge pixels in the fuzzified image. The resultant edge map may contain some extraneous edges, which are further removed from the edge map by separately examining the intermediate intensity range pixels. Finally, the edge map is improved by finding some left out edge pixels by defining a new membership function for the pixels that have their entire 8-neighbourhood pixels classified as white. We have compared our proposed method with some of the existing standard edge detector operators that are available in the literature on image processing. The quantitative analysis of the proposed method is given in terms of entropy value.

고주파 부분방전(HFPD)의 Pulse Analysis Map에 의한 GIS 결함 판별에 관한 연구 (A Study on the defect identification of GIS by Pulse Analysis Map(PA Map) using High Frequency Partial Discharge(HFPD) Detection)

  • 정현재;김지홍;김진기;고흥열;구자윤;김정태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 추계학술대회 논문집 전기물성,응용부문
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    • pp.143-144
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    • 2006
  • Since one decade. the detection of High frequency Partial Discharge has been proposed as one of the effective method for the diagnosis of the power component under service in power grids. As a tool for this detection. UHF sensor based on the antenna technology has been commercialized for mainly GIS due to its advantages. However, regarding the recognition of the vital defects introducible into the GIS. different types of softwares have been proposed and employed without any convincing probability of identification. In this regards, our work leads us to suggest a novel method named "PA Map" to identify the defects inside the GIS based on the HFPD detection by use of HFCT sensor which is designed according to our patent.

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Tsunami-induced Change Detection Using SAR Intensity and Texture Information Based on the Generalized Gaussian Mixture Model

  • Jung, Min-young;Kim, Yong-il
    • 한국측량학회지
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    • 제34권2호
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    • pp.195-206
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    • 2016
  • The remote sensing technique using SAR data have many advantages when applied to the disaster site due to its wide coverage and all-weather acquisition availability. Although a single-pol (polarimetric) SAR image cannot represent the land surface better than a quad-pol SAR image can, single-pol SAR data are worth using for disaster-induced change detection. In this paper, an automatic change detection method based on a mixture of GGDs (generalized Gaussian distribution) is proposed, and usability of the textural features and intensity is evaluated by using the proposed method. Three ALOS/PALSAR images were used in the experiments, and the study site was Norita City, which was affected by the 2011 Tohoku earthquake. The experiment results showed that the proposed automatic change detection method is practical for disaster sites where the large areas change. The intensity information is useful for detecting disaster-induced changes with a 68.3% g-mean, but the texture information is not. The autocorrelation and correlation show the interesting implication that they tend not to extract agricultural areas in the change detection map. Therefore, the final tsunami-induced change map is produced by the combination of three maps: one is derived from the intensity information and used as an initial map, and the others are derived from the textural information and used as auxiliary data.

A Maximum A Posterior Probability based Multiuser Detection Method in Space based Constellation Network

  • Kenan, Zhang;Xingqian, Li;Kai, Ding;Li, Li
    • International Journal of Computer Science & Network Security
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    • 제22권12호
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    • pp.51-56
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    • 2022
  • In space based constellation network, users are allowed to enter or leave the network arbitrarily. Hence, the number, identities and transmitted data of active users vary with time and have considerable impacts on the receiver's performance. The so-called problem of multiuser detection means identifying the identity of each active user and detecting the data transmitted by each active user. Traditional methods assume that the number of active users is equal to the maximum number of users that the network can hold. The model of traditional methods are simple and the performance are suboptimal. In this paper a Maximum A Posteriori Probability (MAP) based multiuser detection method is proposed. The proposed method models the activity state of users as Markov chain and transforms multiuser detection into searching optimal path in grid map with BCJR algorithm. Simulation results indicate that the proposed method obtains 2.6dB and 1dB Eb/N0 gains respectively when activity detection error rate and symbol error rate reach 10-3, comparing with reference methods.

색 왜곡 영상에서의 강건한 피부영역 탐지 방법 (Robust Skin Area Detection Method in Color Distorted Images)

  • 황대동;이근수
    • 한국산학기술학회논문지
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    • 제18권7호
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    • pp.350-356
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    • 2017
  • 실시간 인체 검출에 대한 관심이 높아짐에 따라 피부색을 통한 인체 검출에 대한 연구가 활발히 진행되고 있다. 하지만 대다수 기존 피부 탐지 방법은 정적인 피부색 모델을 이용하기 때문에 색 왜곡이 발생한 영상에서 낮은 탐지율을 보인다. 이러한 문제를 해결하기 위해 본 논문에서는 경사도 맵과 채도, YCbCr 공간의 Cb, Cr 요소를 퍼지로 분류하는 방법을 사용하여 피부영역을 탐지하는 기법을 제시한다. 제안하는 방법의 기본적인 절차는 경사도 맵 생성, 채도 맵 생성, CbCr 맵 생성, 퍼지 분류, 피부영역 이진화 순이다. 이 방법은 색상 이외의 특징을 이용하여 조명, 인종, 나이, 개인차 등에 상관없이 강건하게 피부를 탐지하는 것에 중점을 두고 있다. 색상 이외의 피부 특징은 비피부영역과의 경계가 모호하여 구분이 명확하지 않다. 이를 해결하기 위해 경사도, 채도와 색상 특징간의 관계를 소속함수로 정의하고 이를 이용하여 108가지의 퍼지 규칙을 생성하여 피부영역을 탐지한다. 제안한 방법의 검출 정확도는 86.35%로 기존 방법보다 2~5 % 우수함을 확인하였다.

MAP Estimation을 이용한 QRS Detection (QRS Detection based on Maximum A-Posterior Estimation)

  • 정희교;신건수
    • 대한의용생체공학회:의공학회지
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    • 제8권2호
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    • pp.205-214
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    • 1987
  • In this paper, a mathmatical model for the purpose of QRS detection is considered in the case of the occurence of nonoverlappjng pulse-shaped waveforms corrupted with white noise. The number of waveform, the arrival times, amplitudes, and widths of QRS complexes are regarded as random variables. The joint MAP estimation of all the unknown Quantities consists of linear filtering followed by an optimization procedure. Because the optimization procedure is time-consuming, this procedure is modified so that a threshold test is obtained.

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Joint Processing of Zero-Forcing Detection and MAP Decoding for a MIMO-OFDM System

  • Sohn, In-Soo;Ahn, Jae-Young
    • ETRI Journal
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    • 제26권5호
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    • pp.384-390
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    • 2004
  • We propose a new bandwidth-efficient technique that achieves high data rates over a wideband wireless channel. This new scheme is targeted for a multiple-input multiple- output orthogonal frequency-division multiplexing (MIMO-OFDM) system that achieves transmit diversity through a space frequency block code and capacity enhancement through the iterative joint processing of zero-forcing detection and maximum a posteriori (MAP) decoding. Furthermore, the proposed scheme is compared to the coded Bell Labs Layered Space-Time OFDM (BLAST-OFDM) scheme.

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다중심벌 검파를 사용한 터보 트렐리스 부호화 변조 (Turbo Trellis Coded Modulation with Multiple Symbol Detection)

  • 김종일
    • 융합신호처리학회논문지
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    • 제1권2호
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    • pp.105-114
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    • 2000
  • 본 논문에서는 다중 심벌 검파를 터보 트렐리스 부호화 변조에 적용하여 대역폭 효율을 높일 수 있는 채널 코딩 방식을 제안하고 또한 다중 심벌 검파를 수행하는 터보 트켈리스 부호화 변조의 MAP 알고리듬을 설계한다. 터보 코드는 낮은 SNR에서 아주 좋은 BER 성능을 얻을 수 있다. 이은 두 개의 콘볼류션 부호화기와 인터리버에 의해 구성된다. TCM은 코드워드사이의 유클리드 거리를 최대화시킴으로써 코딩과 변조를 동시에 수행하는 방식이다. 터보 트렐리스 부호화 변조는 비터비혹은 symbol-by-symbol MAP 알고리듬에 의해 디코딩 될 수 있다. 그러나 본 논문에서는 다중 심벌검파를 수행하기 위해 1차 및 그 이상의 위상차를 이용한 유클리드 거리를 가지 메트릭으로 사용하는 터보 트렐리스 부호화 변조의 MAP 알고리듬을 설계한다 본 연구는 같은 SNR에서 좀 더 향상된 BER 성능을 얻을 수 있다는 것을 보여준다.

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