• 제목/요약/키워드: Degradation Classification

검색결과 140건 처리시간 0.03초

Numerical Classification of Actinomycetes Isolated from Volcanic Soil

  • Kim, Seung-Bum;Lee, Soon-Dong;Kim, Seon-Young;Oh, Hyung-Myung;Kang, Sa-Ouk
    • Journal of Microbiology
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    • 제34권2호
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    • pp.105-116
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    • 1996
  • Of actinomycetes isolated from volcanic compost soils, 115 representative strains which showed distinctive morphologicla features were numerically classified, compared with reference strains of Streptomyces. One hundred and twenty unit characters were tested and the average probability of error was 4.27%. The cluster analysis resulted in two groups: group A included strains of actinomycetes except streptomycetes. Group A was divided into 2 major clusters (over 5 strains), 10-diaminopimelic acid. Group B was divided into 5 clusters, of which 4 clusters contained mesodiminopimelic acid and 1 cluster LL-diaminopimelic acid. The major clusters of group A showed higher abilities of substrate utilization and degradation, and higher resistance to inhibitors, whereas the minor and single member clusters of group A showed relatively higher antimicrobial activities. On the other hand, all clusters of group B showed relatively lower abilities of substrate utilization and degradation and lower resistance to inhibitors.

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Point-Jacobian 반복 MAP 추정을 이용한 고해상도 영상복원 (Image Restoration of Remote Sensing High Resolution Imagery Using Point-Jacobian Iterative MAP Estimation)

  • 이상훈
    • 대한원격탐사학회지
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    • 제30권6호
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    • pp.817-827
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    • 2014
  • 위성 원격 탐사에서는 센서 운영 환경으로 인하여 영상을 수집하는 동안 영상의 질 저하가 일어나며 이러한 영상의 질 저하는 관측된 자료로부터 유용한 정보를 확인하거나 추출하는 데 악 영향을 미치는 번짐 현상(blurring)과 잡음 (noise)을 야기시킨다. 본 연구는 원격 탐사 영상 자료의 질 저하 현상을 모형화하기 위해 Gaussian 가산 잡음과 Markov random field로 정의되는 공간적 연결성을 가정하였다. 그리고 질 저하된 관측 자료로부터 원래 강도의 영상을 복원하기 위한 Point-Jacobian 반복 maximum a posteriori (MAP) 추정 법을 제안한다. 제안 연구는 이웃 창의 형태로 8 개 방향의 창으로 구성된 방사형을 사용하며 각 방향에서의 중심 화소와의 이웃 화소들 간의 Mahalanobis 제곱 거리를 경계 근접성 측정치로 사용한다. 제안 방법의 성능을 평가하기 위해서 고해상도 영상 자료에 나타날 수 있는 다양한 형태의 패턴을 사용하는 simulation 자료를 생성하여 화소 단위 분류 법을 사용하여 정량적 평가를 수행하였고 한반도 안양 북부 지역에서 관측된 1 m 급 IKONOS 자료의 무감독 분할을 통해 정성적 평가를 수행하였다. 실험 결과는 고해상도 원격 탐사 자료 분석에서 제안 영상 복원 법을 적용하면 현저히 분석의 정확성을 높이는 것을 보여 준다.

가지 분류 및 제거기법을 이용한 고속 RSST 알고리듬 (Fast RSST Algorithm Using Link Classification and Elimination Technique)

  • 홍원학
    • 전자공학회논문지 IE
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    • 제43권4호
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    • pp.43-51
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    • 2006
  • RSST를 이용한 분할법은 정확한 영역 경계를 추출과 분할결과의 해상도를 조절 등의 많은 장점을 가지고 있다. 본 논문에서는 영상분할을 위한 세 가지 고속 RSST 알고리듬을 제안한다. 첫 번째 방법에서는 고속 가지검색을 위해 가중치의 크기에 따라 가지들을 분류한다. 두 번째 방법은 RSST 구성 전에 매우 유사한 가지들을 제거된다. 세 번째 방법에서는 시각적으로 중요하지 않은 소영역의 가지들을 제거된다. 제안된 알고리듬들을 영상분할에 적용한 결과 기존의 RSST와 비교하여 PSNR과 화질의 저하가 거의 없이 RSST 수행시간을 10 $\sim$ 40배 정도 줄일 수 있었다.

압축 영상의 블록화 제거를 위한 적응적 고속 영상 복원 필터 (An Adaptive Fast Image Restoration Filter for Reducing Blocking Artifacts in the Compressed Image)

  • 백종호;이형호;백준기;윈치선
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 1996년도 학술대회
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    • pp.223-227
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    • 1996
  • In this paper we propose an adaptive fast image restoration filter, which is suitable for reducing the blocking artifacts in the compressed image in real-time. The proposed restoration filter is based on the observation that quantization operation in a series of coding process is a nonlinear and many-to-one mapping operator. And then we propose an approximated version of constrained optimization technique as a restoration process for removing the nonlinear and space varying degradation operator. We also propose a novel block classification method for adaptively choosing the direction of a highpass filter, which serves as a constraint in the optimization process. The proposed classification method adopts the bias-corrected maximized likelihood, which is used to determine the number of regions in the image for the unsupervised segmentation. The proposed restoration filter can be realized either in the discrete Fourier transform domain or in the spatial domain in the form of a truncated finite impulse response (FIR) filter structure for real-time processing. In order to demonstrate the validity of the proposed restoration filter experimental results will be shown.

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Optimal Image Quality Assessment based on Distortion Classification and Color Perception

  • Lee, Jee-Yong;Kim, Young-Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권1호
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    • pp.257-271
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    • 2016
  • The Structural SIMilarity (SSIM) index is one of the most widely-used methods for perceptual image quality assessment (IQA). It is based on the principle that the human visual system (HVS) is sensitive to the overall structure of an image. However, it has been reported that indices predicted by SSIM tend to be biased depending on the type of distortion, which increases the deviation from the main regression curve. Consequently, SSIM can result in serious performance degradation. In this study, we investigate the aforementioned phenomenon from a new perspective and review a constant that plays a big role within the SSIM metric but has been overlooked thus far. Through an experimental study on the influence of this constant in evaluating images with SSIM, we are able to propose a new solution that resolves this issue. In the proposed IQA method, we first design a system to classify different types of distortion, and then match an optimal constant to each type. In addition, we supplement the proposed method by adding color perception-based structural information. For a comprehensive assessment, we compare the proposed method with 15 existing IQA methods. The experimental results show that the proposed method is more consistent with the HVS than the other methods.

대용량 음성인식을 위한 인식기간 감축 알고리즘 (A Recognition Time Reduction Algorithm for Large-Vocabulary Speech Recognition)

  • 구준모;은종관
    • 한국음향학회지
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    • 제10권3호
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    • pp.31-36
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    • 1991
  • 본 논문에서는 대용량 음성인식 시스템의 인식시간을 감축하기 위하여 후보단어를 선정하는 효과적인 방법을 제안하고 이 방법의 성능을 향상시키기 위하여 spectral smoothing과 temporal smoothing을 사용하는 것에 관하여 연구하였다. 제안된 방법은 사전내의 각 단어에 대하여 음성인식 단위의 음성 spectrum관찰확률과 길이정보를 이용하여 대강의 관찰확률을 계산하여 후보단어를 선정한다. 제안된 방법을 음소단위의 HMM을 이용하는 1160단어 인식 시스템에 적용한 결과, 전체 계산량의 74% 가량을 감축할 수 있었으며 이때 인식율의 감소는 매우 작았다. 또한 제안된 대감의 likelihood점수 계산방법은 Viterbi방법에 의하여 계산되는 likelihood 점수를 잘 추정함을 알 수 있었다.

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초음파를 이용한 경피약물수송의 촉진 (Enhancement of Transdermal Drug Delivery Using Ultrasound)

  • 박승규;김태열
    • The Journal of Korean Physical Therapy
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    • 제13권3호
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    • pp.719-726
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    • 2001
  • Transdermal drug delivery offers various advantages over conventional drug delivery systems, such as avoidance gastrointestinal degradation and hepatic first-pass effect. encourages patient compliance. and possible sustained release of drugs. However, transdermal transport of drugs is low permeability of the stratum corneum, the superficial layer of the skin. Many physicochemical and biological factors influencing transdermal transport is described together with the corresponding experimental and clinical results. Phonophoresis is medical treatment with drugs introduced into the skin by ultrasound energy. Enhanced drug penetration is through to result from the biophysical alterations of skin structure by ultrasound waves. The frequency used for phonophoresis is usually from 20 kHz to 15MHz. Phonophoresis can be categorized in to three ranges: low-frequency range(below 1 MHz). therapeutic frequency range(1 to 3MHz), and high-frequency range(above 3 MHz). The depth of penetration of ultrasound into skin is inversely proportional to the frequency. Cavitation may cause mechanical stress. temperature elevation, or enhanced chemical reactivity causing drug transport. One theory is that ultrasound affects the permeation of the stratum corneum lipid structure as the limiting step in permeating through the skin. The range of indications for phonophoresis is wide. Aspecific classification of the range of indications is obtained by classification of pathological conditions. The continuous research is needed for many interesting issucs of phonophoretic transdermal delivory in new future.

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Classification, Structure, and Bioactive Functions of Oligosaccharides in Milk

  • Mijan, Mohammad Al;Lee, Yun-Kyung;Kwak, Hae-Soo
    • 한국축산식품학회지
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    • 제31권5호
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    • pp.631-640
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    • 2011
  • Milk oligosaccharides are the complex mixture of six monosaccharides namely, D-glucose, D-galactose, N-acetyl-glucosamine, N-acetyl-galactosamine, L-fucose, and N-acetyl-neuraminic acid. The mixture is categorized as neutral and acidic classes. Previously, 25 oligosaccharides in bovine milk and 115 oligosaccharides in human milk have been characterized. Because human intestine lacks the enzyme to hydrolyze the oligosaccharide structures, these substances can reach the colon without degradation and are known to have many health beneficial functions. It has been shown that this fraction of carbohydrate can increase the bifidobacterial population in the intestine and colon, resulting in a significant reduction of pathogenic bacteria. The role of milk oligosaccharides as a barrier against pathogens binding to the cell surface has recently been demonstrated. Milk oligosaccharides have the potential to produce immuno-modulation effects. It is also well known that oligosaccharides in milk have a significant influence on intestinal mineral absorption and in the formation of the brain and central nervous system. Due to its structural resemblance, bovine milk is considered to be the most potential source of oligosaccharides to produce the same effect of oligosaccharides present in human milk. This review describes the characteristics and potential health benefits of milk oligosaccharides as well as the prospects of oligosaccharides in bovine milk for use in functional foods.

Photon-counting linear discriminant analysis for face recognition at a distance

  • Yeom, Seok-Won
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제12권3호
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    • pp.250-255
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    • 2012
  • Face recognition has wide applications in security and surveillance systems as well as in robot vision and machine interfaces. Conventional challenges in face recognition include pose, illumination, and expression, and face recognition at a distance involves additional challenges because long-distance images are often degraded due to poor focusing and motion blurring. This study investigates the effectiveness of applying photon-counting linear discriminant analysis (Pc-LDA) to face recognition in harsh environments. A related technique, Fisher linear discriminant analysis, has been found to be optimal, but it often suffers from the singularity problem because the number of available training images is generally much smaller than the number of pixels. Pc-LDA, on the other hand, realizes the Fisher criterion in high-dimensional space without any dimensionality reduction. Therefore, it provides more invariant solutions to image recognition under distortion and degradation. Two decision rules are employed: one is based on Euclidean distance; the other, on normalized correlation. In the experiments, the asymptotic equivalence of the photon-counting method to the Fisher method is verified with simulated data. Degraded facial images are employed to demonstrate the robustness of the photon-counting classifier in harsh environments. Four types of blurring point spread functions are applied to the test images in order to simulate long-distance acquisition. The results are compared with those of conventional Eigen face and Fisher face methods. The results indicate that Pc-LDA is better than conventional facial recognition techniques.

An Efficient Feature Point Extraction and Comparison Method through Distorted Region Correction in 360-degree Realistic Contents

  • Park, Byeong-Chan;Kim, Jin-Sung;Won, Yu-Hyeon;Kim, Young-Mo;Kim, Seok-Yoon
    • 한국컴퓨터정보학회논문지
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    • 제24권1호
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    • pp.93-100
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    • 2019
  • One of critical issues in dealing with 360-degree realistic contents is the performance degradation in searching and recognition process since they support up to 4K UHD quality and have all image angles including the front, back, left, right, top, and bottom parts of a screen. To solve this problem, in this paper, we propose an efficient search and comparison method for 360-degree realistic contents. The proposed method first corrects the distortion at the less distorted regions such as front, left and right parts of the image excluding severely distorted regions such as upper and lower parts, and then it extracts feature points at the corrected region and selects the representative images through sequence classification. When the query image is inputted, the search results are provided through feature points comparison. The experimental results of the proposed method shows that it can solve the problem of performance deterioration when 360-degree realistic contents are recognized comparing with traditional 2D contents.