• Title/Summary/Keyword: Binary Patterns

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Local-Spatial Diffused Information based MTBLP Background Model to Model Moving Components in a Fixed Traffic CCTV (교통 CCTV화면 내의 동적 요소 모델링을 위한 분산된 국부 정보기반 MTLBP배경 모델)

  • Noh, Seung-Jong;Jeon, Moon-Gu
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06b
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    • pp.432-434
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    • 2012
  • 본 논문에서 우리는 고정된 교통 CCTV 카메라 화면 내에 존재하는 배경의 동적 요소틀을 효과적으로 모델링 할 수 있는 새로운 배경 모델을 제안하고자 한다. 우리의 모델은 [1]에서 제안했던 multiple-thresholded local binary patterns(MTLBP)배경 모델을 확장한 것으로, 가우시안 필터를 통해 화면의 분산된 국부정보를 수집함으로써 움직이는 나뭇가지등과 같은 배경의 동적 요소를 제거한다. 우리는 다양한 실험 결과를 통해 제안하는 기법이 저해상도의 영상에 대해서도 매우 빠르고 정확하게 동작할 수 있으며, 따라서 실제의 응용 시스템에 적합함을 보일 것이다.

Prediction Model with a Logistic Regression of Sequencing Two Arrival Flows (합류하는 두 항공기간 도착순서 결정에 대한 로지스틱회귀 예측 모형)

  • Jung, Soyeon;Lee, Keumjin
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.23 no.4
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    • pp.42-48
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    • 2015
  • This paper has its purpose on constructing a prediction model of the arrival sequencing strategy which reflects the actual sequencing patterns of air traffic controllers. As the first step, we analyzed a pair-wise sequencing of two aircraft entering TMA from different entering points. Based on the historical trajectory data, several traffic factors such as time, speed and traffic density were examined for the model. With statistically significant factors, we constructed a prediction model of arrival sequencing through a binary logistic regression analysis. With the estimated coefficients, the performance of the model was conducted through a cross validation.

Adaptive Watermarking based on Fuzzy Inference and Human Visual System (퍼지 추론과 시각특성 기반의 적응적 워터마킹)

  • Shin Hee-Jong;Park Ki-Hong;Kim Yoon-Ho
    • Journal of Digital Contents Society
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    • v.5 no.4
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    • pp.311-315
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    • 2004
  • In this paper, we proposed a robust watermarking algorithm based on fuzzy inference and human visual system. In the first, discrete wavelet transform(DWT) is involved to calculate additive energy strength, then we devised fuzzy inference, which was established by computing contrast and texture degree in gray-level image. Watermark is embeded into the coefficients of 3-level DWT so as to consider a spatial effects. Visual recognizable patterns such as binary image were used as a watermark Consequently, experimental results showed that proposed algorithm is robust in JPEC compression.

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Invisible Watermarking Algorithm based on Zerotree Structure (제로트리 구조를 이용한 비가시적인 워티마킹 알고리즘)

  • 박병선;유지상
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.97-100
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    • 2002
  • In this paper, we propose a watermarking technique that embeds a digital watermark into digital images for the proof of owner or copyright protection. Proposed algorithm is based on discrete wavelet transform. Zerotree structure defined by Shapiro's embedded zerotree wavelet(EZW) algorithm is used. In the proposed algorithm, a digital watermark is embedded on only significant wavelet coefficients chosen by QSWT for the robustness of the algorithm. In other words, only the values of significant wavelet coefficients are modified in accordance with the given watermark pattern. We use the relationship among neighboring coefficients when modifying chosen coefficients to keep good image quality. Visual recognizable patterns such as binary images are used as a watermark. The experimental results show that the proposed algorithm has robustness under a variety of attacks such as JPEG compression, sharpening and blurring and also show that it has a better performance in PSNR comparing with other algorithms.

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Implementation of multi-level phase gratings for the optical interconnection using liquid crystal television (LCTV를 이용한 광연결용 다위상 격자의 구현)

  • Lee, Yeon-Seon;Kim, Nam;Park, Seong-Gyoon;Ihm, Jong-Tae
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.33A no.3
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    • pp.152-162
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    • 1996
  • Diffraction gratings were designed to generate multiple beams for the real-time optical interconnection in free-space using a liquid crsytal television. Multi-level phase gratings consisted of stepped phase value, 0 to 2$\pi$, and generate a 5$\times$5 spot array, and V-shaped spot patterns which have a maximum diffraction efficiency of 78.84%. Simulated annealing technique was used to determine phase states of each pixel having uniform intensity and high diffraction efficiency. Through the optical interconnection experiments, we compared the diffraction characteristics of beam paterns obtained by binary-level, four-level, and eight-level phase gratings.

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Design of Expandable 32x32 MBAM Neuro-chip (확장 가능한 32X32 MBAM Neuro-chip의 설계)

  • 최윤경;박정배;이수영
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.6
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    • pp.86-92
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    • 1993
  • In this paper, we present a VLSI chip design of Multi-layer Bidirectionsl Associative Memory with good error-correction performance. The MBAM neural chip utilizes inner product implementation schems with binary storage and analog calculation.. Multi-layer can be constructed by direct cascading of these chips, and the number of neurons is expandable by parallel connection of these chips. We made proto-type chips and interface board to test the expansion. Currently the Chip has 32 input nodes, 32 output nodes, and can store up to 48 patterns, 32x48x2 SRAMs are included in the chip.

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Improvement of learning method in pattern classification (패턴분류에서 학습방법 개선)

  • Kim, Myung-Chan;Choi, Chong-Ho
    • Journal of Institute of Control, Robotics and Systems
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    • v.3 no.6
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    • pp.594-601
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    • 1997
  • A new algorithm is proposed for training the multilayer perceptrion(MLP) in pattern classification problems to accelerate the learning speed. It is shown that the sigmoid activation function of the output node can have deterimental effect on the performance of learning. To overcome this detrimental effect and to use the information fully in supervised learning, an objective function for binary modes is proposed. This objective function is composed with two new output activation functions which are selectively used depending on desired values of training patterns. The effect of the objective function is analyzed and a training algorithm is proposed based on this. Its performance is tested in several examples. Simulation results show that the performance of the proposed method is better than that of the conventional error back propagation (EBP) method.

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A Study on the Construction of a Document Input/Output system (문서 입출력 시스템의 구성에 관한 연구)

  • 함영국;도상윤;정홍규;김우성;박래홍;이창범;김상중
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.29B no.10
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    • pp.100-112
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    • 1992
  • In this paper, an integrated document input/output system is developed which constructs the graphic document from a text file, converts the document into encoded facsimile data, and also recognizes printed/handwritten alphanumerics and Korean characters in a facsimile or graphic document. For an output system, we develop the method which generates bit-map patterns from the document consisting of the KSC5601 and ASCII codes. The binary graphic image, if necessary, is encoded by the G3 coding scheme for facsimile transmission. For a user friendly input system for documents consisting of alphanumerics and Korean characters obtained from a facsimile or scanner, we propose a document recognition algirithm utilizing several special features(partial projection, cross point, and distance features) and the membership function of the fuzzy set theory. In summary, we develop an integrated document input/output system and its performance is demonstrated via computer simulation.

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Tire Tread Pattern Classification Using Fuzzy Clustering Algorithm (퍼지 클러스터링 알고리즘을 이용한 타이어 접지면 패턴의 분류)

  • Kang, Yoon-Kwan;Jung, Soon-Won;Bae, Sang-Wook;Park, Tae-Hong;Kim, Min-Gi;Park, Gwi-Tae
    • Proceedings of the KIEE Conference
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    • 1993.07a
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    • pp.439-441
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    • 1993
  • A tire tread pattern recognition scheme of which the pattern recognition algorithm is designed based on the fuzzy hierarchical clustering method is proposed and compared with the scheme based on the conventional FCM. The features are extracted from the binary images of the tire tread patterns. In the proposed scheme, the protoypes are obtained more easily and schematically than obtained prototypes using FCM. The experimental results of classification for the practical situations are given and shows the usefulness of the proposed scheme.

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Neighborhood Correlation Image Analysis for Change Detection Using Different Spatial Resolution Imagery

  • Im, Jung-Ho
    • Korean Journal of Remote Sensing
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    • v.22 no.5
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    • pp.337-350
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    • 2006
  • The characteristics of neighborhood correlation images for change detection were explored at different spatial resolution scales. Bi-temporal QuickBird datasets of Las Vegas, NV were used for the high spatial resolution image analysis, while bi-temporal Landsat $TM/ETM^{+}$ datasets of Suwon, South Korea were used for the mid spatial resolution analysis. The neighborhood correlation images consisting of three variables (correlation, slope, and intercept) were evaluated and compared between the two scales for change detection. The neighborhood correlation images created using the Landsat datasets resulted in somewhat different patterns from those using the QuickBird high spatial resolution imagery due to several reasons such as the impact of mixed pixels. Then, automated binary change detection was also performed using the single and multiple neighborhood correlation image variables for both spatial resolution image scales.