• Title/Summary/Keyword: normalized k

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Analysis of Leaky Modes on Circular Dielectric Rods using Davidenko을s Method (Davidenko 방법을 이용한 원형 유전체 봉의 누설 모드 해석)

  • Kim, Ki-Young;Tae, Heung-Sik;Lee, Jeong-Hae
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.14 no.1
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    • pp.1-7
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    • 2003
  • Leaky modes on a circular dielectric rod are investigated from the precisely determined normalized complex propagation constants using Davidenko's complex root finding technique. Below the cutoff frequency of the guided mode, distinct frequency regions that have unique properties are observed, such as nonphysical region, antenna mode region, reactive mode region, and spectral gap region.

STRONG CONVERGENCE THEOREMS BY VISCOSITY APPROXIMATION METHODS FOR ACCRETIVE MAPPINGS AND NONEXPANSIVE MAPPINGS

  • Chang, Shih-Sen;Lee, H.W. Joseph;Chan, Chi Kin
    • Journal of applied mathematics & informatics
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    • v.27 no.1_2
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    • pp.59-68
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    • 2009
  • In this paper we present an iterative scheme for finding a common element of the set of zero points of accretive mappings and the set of fixed points of nonexpansive mappings in Banach spaces. By using viscosity approximation methods and under suitable conditions, some strong convergence theorems for approximating to this common elements are proved. The results presented in the paper improve and extend the corresponding results of Kim and Xu [Nonlinear Anal. TMA 61 (2005), 51-60], Xu [J. Math. Anal. Appl., 314 (2006), 631-643] and some others.

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Local Linear Transform and New Features of Histogram Characteristic Functions for Steganalysis of Least Significant Bit Matching Steganography

  • Zheng, Ergong;Ping, Xijian;Zhang, Tao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.4
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    • pp.840-855
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    • 2011
  • In the context of additive noise steganography model, we propose a method to detect least significant bit (LSB) matching steganography in grayscale images. Images are decomposed into detail sub-bands with local linear transform (LLT) masks which are sensitive to embedding. Novel normalized characteristic function features weighted by a bank of band-pass filters are extracted from the detail sub-bands. A suboptimal feature set is searched by using a threshold selection algorithm. Extensive experiments are performed on four diverse uncompressed image databases. In comparison with other well-known feature sets, the proposed feature set performs the best under most circumstances.

Evaluation of Thermal and Water Stress on Vegetation from Satellite Imagery

  • Viau, Alain A.;Jang, Jae-Dong;Anctil, Francois
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.165-167
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    • 2003
  • To evaluate the thermal and water stress of vegetation canopy in Southern Qu$\'{e}$bec, leaf water status was evaluated from vegetation indices derived from SPOT VEGETATION images and surface temperature from NOAA AVHRR images. This study was conducted by investigating vegetation conditions for two different periods, from June to August, 1999 and 2000. The vegetation indices were integrated for the evaluating vegetation conditions as a new index, normalized moisture index (NMI). A trapezoid was defined by the NMI and surface temperature, and the thermal and water status of the vegetation canopy was determined according to separate small sections within the trapezoid.

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Comparing NDVI to maximum latewood density of annual tree rings in a boreal coniferous forest in North China

  • He, Jicheng;Shao, Xuemei;Wang, Lili
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.34-36
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    • 2003
  • In boreal conifers in China's Northeast area, maximum latewood density (MXD) of tree-ring varies in response to growing season temperature. Forest net productivity can be estimated using the Normalized-difference Vegetation Index (NDVI) calculated from satellite sensor data. MXD from the Mohe site in this area was compared with estimates of NPP for 1982-1999 produced by the NDVI model, which was established based on the relationship of leaf area index (LAI) and NDVI. The result shows that the MXD series correlated significantly with the NDVI model estimates series, suggesting that MXD appeared to be an appropriate index for productivity or canopy growth in region where forest productivity is strongly temperature-related.

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Detecting red tides in turbid waters

  • Yoo, Sin-Jae;Jeong, Jong-Chul
    • Proceedings of the KSRS Conference
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    • 1999.11a
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    • pp.381-385
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    • 1999
  • As an example of many possible applications of OSMI data, we present a method to detect red tides. In Korean waters, red tides usually occur in the South Sea where the turbidity is usually high due to strong tidal mixing in the shallow sea. The conventional case 1 chlorophyll algorithm cannot be applied since it cannot distinguish chlorophyll from SS (suspended sediments). In October 1998, a red tide outbreak occurred off the coast of Kunsan. We analyzed the SeaWiFS data of the outbreak. The standard SeaWiFS chlorophyll algorithm OC2 was poor in identifying the red tides. However, comparison of spectra of normalized water-leaving radiance indicates that red tide pixels can be distinguished from sediment-laden pixels. Channel 443 and 555 were effective in showing the spectral characteristics. We suggest K490 algorithm as an example in summarizing the information of the spectra and thereby in distinguishing the red tide pixels. Further development is desirable.

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Protective Effect of Korean Red Ginseng Against Dichromate Toxicity (중크롬산 독성에 대한 고려홍삼의 방어효과)

  • Kim, Eun;Hyun, Hak-Chul;Na, Ki-Jung
    • Journal of Ginseng Research
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    • v.14 no.2
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    • pp.274-278
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    • 1990
  • The metabolic disturbance and nephrotoxicity induced by sodium dichromate (20 mg/kg, SC) have been diminished by the administration of Korean red ginseng extract (100 mg/kg, PO). Red ginseng has a powerful potency on the blood urea nitrogen (BUN) increment shown in the early 2h after dichromate intoxication. It normalized the dichromate induced hepatic glycogenolysis. The effect of red ginseng on dichroamte induced nephrotoxicity was investigated by hematological analysis, and urinalysis. Ginseng treatment significantly reduced the increases in the urinary excretion of protein and glucose. These effects were dose dependent. Ginseng protected the accumulation of BUN and creatinine in the blood, caused by dichromate intoxication. Unlike CaEDTA, ginseng did not change the urinary excretion of chromiilm and it could not convert hexavalent chronlium to trialvalent chromium. These results suggest that ginseng treatment is effective in decreasing the metabolic disturbance, one of the earliest signs of dichromate toxicity, resulting in the protective effect of dichromate induced renal damage.

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A Study on the relation of closed pitch for Noise-Level Measurement (음성의 잡음레벨 추정을 위한 피치간 유사도 측정에 관한 연구)

  • Kang InGyu;Kang SungMo;Bae MyungJin
    • Proceedings of the Acoustical Society of Korea Conference
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    • autumn
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    • pp.73-76
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    • 2004
  • 인간은 "습관적 피치 레벨" 즉 자연스럽게 말할 때 평균적으로 사용하는 피치를 갖는다. 하지만 음성에 잡음이 첨가되면 이 피치가 불규칙하게 바뀌게 된다. 이점을 이용하여 음성의 잡음레벨을 측정할 수 있다. 본 논문에서는 입력음성의 에너지를 구하고 일정 에너지레벨 이상에서의 구간에 대해 NAMDF(Normalized Average Magnitude Difference Function)방법으로 피치를 구하고, 각 프레임을 피치단위로 분절한 뒤 인근 피치간의 유사도를 측정하여 입력음성데이터의 잡음레벨을 검출하는 방법을 제안하였다.

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Realtime Face Recognition by Analysis of Feature Information (특징정보 분석을 통한 실시간 얼굴인식)

  • Chung, Jae-Mo;Bae, Hyun;Kim, Sung-Shin
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.12a
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    • pp.299-302
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    • 2001
  • The statistical analysis of the feature extraction and the neural networks are proposed to recognize a human face. In the preprocessing step, the normalized skin color map with Gaussian functions is employed to extract the region of face candidate. The feature information in the region of the face candidate is used to detect the face region. In the recognition step, as a tested, the 120 images of 10 persons are trained by the backpropagation algorithm. The images of each person are obtained from the various direction, pose, and facial expression. Input variables of the neural networks are the geometrical feature information and the feature information that comes from the eigenface spaces. The simulation results of$.$10 persons show that the proposed method yields high recognition rates.

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Displacement Measurement of Pylon using Image Processing Technique (영상처리 기법을 이용한 주탑의 변위 측정)

  • Son, Byung Jik;Jeon, Seung Gon;Heo, Gwang Hee
    • Journal of the Korean Society for Advanced Composite Structures
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    • v.6 no.3
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    • pp.20-25
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    • 2015
  • This paper introduces a digital image processing(DIP) method as a method for measuring the displacement of pylon. The comparison of DIP results and ANSYS analysis results verified the validity of the image processing technique. Normalized cross-correlation(NCC) coefficient was used and experiments were performed three times. It shows that the displacement difference was 22% and 5% compared to ANSYS results. Therefore, the image processing method is expected to be able to measure the displacement of pylon sufficiently.