• Title/Summary/Keyword: 임계화 기법

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Resource Allocation Information Sorting Algorithm Variable Selection Scheme for MF-TDMA DAMA Satellite Communication System (MF-TDMA DAMA 위성통신 시스템에서의 자원할당정보 정렬 알고리즘 가변 선택기법 연구)

  • Park, Nam Hyoung;Han, Joo-Hee;Han, Ki Moon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.2
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    • pp.1-7
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    • 2020
  • In modern society, as technology has advanced and human life area has expanded, there has been an increasing demand for high-quality voice and video communications services without restrictions on time and place. In response to this demand, satellite communications systems that provide a wide range of communications and that offer multiple access are evolving day by day. In satellite communications systems such as Digital Video Broadcasting - Return Channel Via Satellite (DVB-RCS) and Warfighter Information Network-Tactical (WIN-T), the multi-frequency time division multiple access (MF-TDMA) demand assigned multiple access (DAMA) scheme is used for efficient resource allocation. In this scheme, since the satellite terminals periodically request resources from the network controller, and the network controller dynamically allocates resources, it is necessary to arrange resource allocation information from time to time. Shortening of the alignment time is a more important factor in a satellite communications system in which a long transmission delay occurs due to long-distance transmission and reception. In this paper, we propose a sorting algorithm variable-selection scheme that shortens the sorting time by cross-selecting the sorting algorithm based on a threshold value, while setting the number of frames in the MF-TDMA DAMA satellite communications system as the threshold value.

Efficiency Algorithm of Multispectral Image Compression in Wavelet Domain (웨이브릿 영역에서 다분광 화상데이터의 효율적인 압축 알고리듬)

  • Ban, Seong-Won;Seok, Jeong-Yeop;Kim, Byeong-Ju;Park, Gyeong-Nam;Kim, Yeong-Chun;Jang, Jong-Guk;Lee, Geon-Il
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.4
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    • pp.362-370
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    • 2001
  • In this paper, we proposed multispectral image compression method using CIP (classified inter-channel prediction) and SVQ (selective vector quantization) in wavelet domain. First, multispectral image is wavelet transformed and classified into one of three classes considering reflection characteristics of the subband with the lowest resolution. Then, for a reference channel which has the highest correlation and the same resolution with other channels, the variable VQ is performed in the classified intra-channel to remove spatial redundancy. For other channels, the CIP is performed to remove spectral redundancy. Finally, the prediction error is reduced by performing SVQ. Experiments are carried out on a multispectral image. The results show that the proposed method reduce the bit rate at higher reconstructed image quality and improve the compression efficiency compared to conventional methods. Index Terms-Multispectral image compression, wavelet transform, classfied inter-channel prediction, selective vetor quantization, subband with lowest resolution.

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An Improved Watermark Detection Method Through Correlation Analysis (상관성 분석에 기반한 신뢰성있는 워터마크 검출 방법)

  • 강현수;최재각;이시웅;안치득;홍진우
    • Journal of Broadcast Engineering
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    • v.6 no.2
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    • pp.177-186
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    • 2001
  • A digital watermark Is a perceptually unobtrusive signal embedded in some multimedia asset such as an Image for copyright protection. In many cases watermark detection amounts to thresholding a correlation vague between a watermark and a received image. Watermarking detection schemes can be classified into two types. Type 1 is based on a correlation process that is applied to the difference between an original image and an input Image to be tested. Type 2 is based on a correlation process that is directly applied to an input Image. The type 1 fails to prove the rightful ownership, while type 2 has an advantage in terms of rightful ownership compared with type 1. However, type 2 has a problem that doesnt appear in type 1. The problem is that correlation between a watermark and an original Image to be watermarked is trio significant to be ignored, when it Is normalized by watermarks energy. In this paper, based on the analysis of the correlation, we propose a novel watermarking scheme to minimize the effect and also verify the performance of the proposed scheme by experiments.

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A Study on the Intelligent 3D Foot Scanning System (인공지능형 삼차원 Foot Scanning 시스템에 관한 연구)

  • Kim, Young-Tak;Park, Ju-Won;Tack, Han-Ho;Lee, Sang-Bae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.7
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    • pp.871-877
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    • 2004
  • In this paper, for manufacturing a custom-made shoes, shape of foot acquired three-dimensional measurement device which makes shoe-last data for needing a custom-made shoes is founded on artificial intelligence technique and it shows method restoring to the original shape in optimized state. the developed system for this study is based on PC which uses existing three dimensional measurement method. And it gains shoe-last and data of foot shape going through 8 CCD(Charge Coupled Device) Which equipped top and bottom, right and left sides and 4 lasers which also equipped both sides and upper and lower sides. The acquired data are processed image processing algorithm using artificial intelligence technique. And result of data management is better quality of removing noise than other system not using artificial intelligence technique and it can simplify post-processing. So, this paper is constituted hardware and software system and it used neural network for determining threshold value, when input image on pre-processing step is being stage of image binarization and present that results.

Nucleus Segmentation and Recognition of Uterine Cervical Pop-Smears using Region Growing Technique and Backpropagation Algorithm (영역 확장 기법과 오류 역전파 알고리즘을 이용한 자궁경부 세포진 영역 분할 및 인식)

  • Kim Kwang-Baek;Kim Sung-Shin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.6
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    • pp.1153-1158
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    • 2006
  • The classification of the background and cell areas is very important research area because of the ambiguous boundary. In this paper, the region of cell is extracted from an image of uterine cervical cytodiagnosis using the region growing method that increases the region of interest based on similarity between pixels. Segmented image from background and cell areas is binarized using a threshold value. And then 8-directional tracking algorithm for contour lines is applied to extract the cell area. First, the extracted nucleus is transformed to RGB color that is the original image. Second, the K-means clustering algorithm is employed to classify RGB pixels to the R, G, and B channels, respectively. Third, the Hue information of nucleus is extracted from the HSI models that is the transformation of the clustering values in R, G, and B channels. The backpropagation algorithm is employed to classify and identify the normal or abnormal nucleus.

The Lines Extraction and Analysis of The Palm using Morphological Information of The Hand and Contour Tracking Method (손의 형태학적 정보와 윤곽선 추적 기법을 이용한 손금 추출 및 분석)

  • Kim, Kwang-Baek
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.2
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    • pp.243-248
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    • 2011
  • In this paper, we propose a new method to extract palm lines and read it with simple techniques from one photo. We use morphological information and 8-directional contour tracking algorithm. From the digitalized image, we transform original RGB information to YCbCr color model which is less sensitive to the brightness information. The palm region is extracted by simple threshold as Y:65~255, Cb:25~255, Cr:130~255 of skin color. Noise removal process is then followed with morphological information of the palm such that the palm area has more than quarter of the pixels and the rate of width vs height is more than 2:1 and 8-directional contour tracking algorithm. Then, the stretching algorithm and Sobel mask are applied to extract edges. Another morphological information that the meaningful edges(palm lines) have between 10 and 20 pixels is used to exclude noise edges and boundary lines of the hand from block binarized image. Main palm lines are extracted then by labeling method. This algorithm is quite effective even reading the palm from a photographed by a mobile phone, which suggests that this method could be used in various applications.

Simulation on Optimum Repairing Number of Carbonated RC Structure Based on Probabilistic Approach (확률론을 고려한 탄산화된 RC 구조물의 최적 보수시기 해석)

  • Kwon, Seung-Jun
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.5 no.3
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    • pp.230-238
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    • 2017
  • Carbonation is a representative deterioration for underground structure, which causes additional repair for service life. This study proposes a simplified equation for optimum repair timing without complicated probability calculation, considering initial and repair conditions For the work, initial service life, extended service life through repair, and their COVs(Coefficient of Variation) are considered, and the periods which can reduce number of repair are evaluated. Assuming the two service lives to be independent, the repair timings are derived from 10 to 50 years based on the probabilistic method, and the regression analysis technique for optimum repairing timing is proposed. Decreasing COV has insignificant effect on reducing repairing number but shows a governing effect on changes in probability near the critical repairing stage. The extension of service life through repairing is evaluated to be a critical parameter for reducing repairing number. The proposed technique can be efficiently used for maintenance strategy with actual COV of initial and additional service life due to repairing.

A Black and White Comics Generation Procedure for the Video Frame Image using Region Extension based on HSV Color Model (HSV 색상 모델과 영역 확장 기법을 이용한 동영상 프레임 이미지의 흑백 만화 카투닝 알고리즘)

  • Ryu, Dong-Sung;Cho, Hwan-Gue
    • Journal of KIISE:Computer Systems and Theory
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    • v.35 no.12
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    • pp.560-567
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    • 2008
  • In this paper, we discuss a simple and straightforward binarization procedure which can generate black/white comics from the video frame image. Generally, the region of human's skin is colored white or light gray, while the dark region is filled with the irregular but regular patterns like hatching in most of the black/white comics. Note that it is not enough for simple threshold method to perform this work. Our procedure is decoupled into four processes. First, we use bilateral filter to suppress noise color variation and reserve boundaries. Then, we perform mean-shift segmentation for each similar colored pixels to be clustered. Third, the clustered regions are merged and extended by our region extension algorithm considering each color of their regions. Finally, we decide which pixels are on or off using by our dynamic binarization method based on the HSV color model. Our novel black/white cartooning procedure was so successful to render comic cuts from a well-known cinema in a resonable time and manual intervention.

Analysis of Effects of Multiple Environmental Factors on Early Life-history for Growth and Stress Accumulation Using a Dynamic-state-dependent Model (동적상태의존모델을 이용하여 복합적 환경영향이 어류의 초기 생활사에 미치는 영향 분석)

  • Lee, Who-Seung
    • Journal of Environmental Impact Assessment
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    • v.28 no.1
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    • pp.49-62
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    • 2019
  • Environmental changes can affect life-history traits, such as growth rate and reproduction, and organisms adapt on a given environmental condition to maximize ecological fitness. This study shows the effects of water temperature and dissolved oxygen level on early growth and accumulated damage in fish using a dynamic-state-dependent model. I have hypothesized that the level of foraging activity is related to growth and stress and so the optimal level can maximize reproductive success - ultimately, fitness. The critical temperature and dissolved oxygen (DO) is also defined as inducing the maximum growth rate at the level. So, the model predicts the highest growth rate at oxygen saturation and lower growth rate at lower or higher level of DO in water. Lower DO (i.e., hypoxia) causes slower growth rate through higher amount of accumulated stress whereas higher DO (i.e., hyperoxia) induces faster growth rate, but smaller body size. In addition, I show that there is lower impact when considering simple or independent environmental factors on environmental assessment. My findings suggest that multiple environmental factors as physiological ecology approach should be considered to improve impact assessment in environmental changes and a further study is needed to develop advanced assessment tools considering multiple environmental factors.

A Tonal signal automatic recognition for noise sources classification of the ship radiated noise (선박의 방사소음원 분류를 위한 Tonal 신호 자동인식 기법 연구)

  • Lee Phil-Ho;Yoon Jong-Rak;Park Kyu-Chil;Lim Ki-Hyun
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.175-178
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    • 2004
  • 선박의 수중방사소음은 다양한 기계류나 추진기 혹은 선체와 유체간의 상호 작용으로 인하여 여러 형태의 특성신호로 나타나게 된다. 이는 선박의 운용조건, 장비 회전특성 및 내부구조에 따라 스펙트럼상에 상이한 주파수로 확인됨은 물론, 신호의 출현 형태에도 다양성을 보이고 있다. 일반적으로 선박소음은 속력 종속적인 추진 계통 성분과 비종속적인 보기류 신호로 구분되나 다수의 신호성분이 혼재되어 발생기원을 분류하는 것은 복잡한 과정을 거쳐야 한다. 본 연구에서는 이러한 점을 해결하기 위해 선박의 Tonal성 신호를 자동으로 탐지하고 분류하기 위해 규준화된 스펙트로그램 상에서 연속되는 신호에 가중치를 주어 지속성 신호여부를 판별한 후에 정해진 임계치를 초과하는 성분을 Tonal로 선정하였다. 선정된 Tonal에 대해 주파수선의 대역특성 및 시간 변동성에 대한 패턴인식 방법을 적용하여 Tonal의 발생기원이 속력 종속/비종속적인지를 자동으로 판별하는 알고리즘의 유용성에 대한 결과를 기술하였다.

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