• Title/Summary/Keyword: Information Intensity

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Contrast Enhancement Technique by Intensity Surface Stretching (명도 표면 스트레칭에 의한 화질 개선 기법)

  • Kim, Do-Hyeon;Jung, Ho-Young;Cha, Eui-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.12
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    • pp.2398-2405
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    • 2007
  • This paper proposes a contrast enhancement technique which stretches the intensity surfaces of image to improve the quality of the digital photos. The proposed method enhances the contrast of image by stretching the intensity surface of the original image to the maximum range of the output image in proportion to the distances between the original intensity surface and upper, lower intensity surface, respectively. The upper and lower intensity surfaces are generated from the original intensity surface by gaussian smoothing. In the experiments, digital color images in a variety of illumination conditions were used and the proposed method was compared with other several existed image enhancement algorithms, which are histogram stretching, surface stretching, histogram equalization, gamma correction and retinex. It was proved that the experimental results were more natural visually without deterioration of gradation.

A study on the identification of dynamic characteristics of tennis racket by acoustic intensity method (음향 인텐시터법을 이용한 테니스 라켓의 동특성에 관한 연구)

  • 오재응;이유엽;염성하
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.10 no.5
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    • pp.601-610
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    • 1986
  • The acoustic intensity in the very near field of a vibrating surface reveals information about the location of sound sources and sinks. A system model of tennis racket was developed from simultaneous measurement of excitation force, surface vibration and the near field sound pressure. The characteristics of structural dynamics were obtained by standard experimental modal analysis techniques while the sound radiation characteristics were determined by estimating the acoustic intensity. In this paper, the information about vibration behviour was obtained by acoustic intensity method and some, experiments for verification were carried out. Close correlation was found between experimentally determined acoustic intensity and vibration mode patterns of the tennis racket.

Phonetic Realizations of English Word Stress in Utterances (실제 상황에서 발화된 영어 단어 강세의 음성 실현)

  • Kim, He-Kyung;Kim, Soo-Jung
    • Speech Sciences
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    • v.13 no.4
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    • pp.89-105
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    • 2006
  • This study examines the phonetic realizations of English word stress to identify the influence of experiment method on experiment results. Stimuli uttered by native and Korean ESL beginners in authentic conversations are extracted to be shuffled according to their positions in utterances and information structure. Results indicate that the acoustic characteristics of English word stress are realized depending on its position in utterances. The native speakers correlate the stressed syllables in shorter duration with higher pitch and stronger intensity at sentence-final positions unlike the previous experiments and the traditional definition that stressed syllables are uttered in longer duration with higher pitch and stronger intensity; at sentence-medial positions, the native speakers correlate the stressed syllables in longer duration with higher pitch and no regularity in intensity or in shorter duration with lower pitch and intensity depending on their conversational intention. Korean ESL beginners correlate the stressed syllables in shorter duration regardless of positions in sentences with no regularity in pitch and intensity. This study, thus, shows that a different experiment method may result in different results on the phonetic realizations of English word stress.

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Real Time Light Intensity Control Algorithm Using Digital Image Mask for the Holographic Data Storage System (홀로그래픽 정보저장장치에서 디지털 이미지 마스크를 이용한 실시간 광량 제어 알고리즘)

  • Kim, Sang-Hoon;Yang, Hyun-Seok;Park, Young-Pil
    • Transactions of the Society of Information Storage Systems
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    • v.6 no.1
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    • pp.1-5
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    • 2010
  • Holographic data storage system(HDSS) has many noise sources - crosstalk, scattering and inter pixel interference, etc. Generally the intensity of a light generated from the laser source has Gaussian distribution and this ununiformity of light also can make the data page to have a low SNR. A beam apodizer is used to make the laser as a flat-top beam but the intensity distribution is not strictly uniform. The intensity of light can be controlled using image mask. In this paper the intensity distribution of light used for HDSS is controlled by a digital image mask. The digital image mask is changed arbitrarily in real-time with suggested algorithm for the HDSS.

A Study on Image Binarization using Intensity Information (밝기 정보를 이용한 영상 이진화에 관한 연구)

  • 김광백
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.3
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    • pp.721-726
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    • 2004
  • The image binarization is applied frequently as one part of the preprocessing phase for a variety of image processing techniques such as character recognition and image analysis, etc. The performance of binarization algorithms is determined by the selection of threshold value for binarization, and most of the previous binarization algorithms analyze the intensity distribution of the original images by using the histogram and determine the threshold value using the mean value of Intensity or the intensity value corresponding to the valley of the histogram. The previous algorithms could not get the proper threshold value in the case that doesn't show the bimodal characteristic in the intensity histogram or for the case that tries to separate the feature area from the original image. So, this paper proposed the novel algorithm for image binarization, which, first, segments the intensity range of grayscale images to several intervals and calculates mean value of intensity for each interval, and next, repeats the interval integration until getting the final threshold value. The interval integration of two neighborhood intervals calculates the ratio of the distances between mean value and adjacent boundary value of two intervals and determine as the threshold value of the new integrated interval the intensity value that divides the distance between mean values of two intervals according to the ratio. The experiment for performance evaluation of the proposed binarization algorithm showed that the proposed algorithm generates the more effective threshold value than the previous algorithms.

Stock Market reaction of disclosure of technological information and R&D intensity

  • Lee, Posang
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.11
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    • pp.151-158
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    • 2016
  • This study analyzes the stock market reaction of disclosure of technological information using events which are collected in the Korean stock market for the thirteen-year period between January 2002 and December 2014. We find that abnormal return on the disclosure day of full sample firms is positive and statistically significant. However, abnormal return of high R&D intensity subsample is a larger positive number than that of the low one. Using a longer window, it shows that low R&D intensity negatively decreases the long term performance after the adoption of new technological information. The empirical evidence of the studying is expected to serve as a good judging guide-line for the investors.

A Study on the Variation of Magnetic Field Intensity by Ceramics Coating Material in AF Track Circuits (AF궤도회로에서 세라믹 코팅재에 의한 자계의 세기 변화에 대한 연구)

  • Kim, Min-Kyu;Kim, Sun-Dong;Ko, Young-Hwan;Kim, Min-Seok;Lee, Jong-Woo
    • Proceedings of the KSR Conference
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    • 2010.06a
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    • pp.1656-1662
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    • 2010
  • Automatic train control systems are divided into ATC, ATP and ATS systems etc. The ATP and ATS systems offer discontinuous information for train control. While the ATC systems provide continueous information for train control. There is a method for offering continuous information by AF track circuits. Magnetic fields are formed by current through rails in the AF track circuit systems. So, the continuous information is received by the magnetic fields on a on-board antenna. Coating materials on rails are researched to decrease defects such as head check, shelling, corrugation, squats and so on in Germany. Currently, a coating method of rail construction is proposed by using the ceramics in Korea. When deciding physical characteristic of ceramics, researches are required about variation of flux density by the ceramics. In case that the flux density is much lower than existing value, the information for train control is not transmitted to the on-board antenna. In this paper, inductance on rails is calculated and a model is presented about variation of the magnetic field intensity in the AF track circuit. Standard permeability of ceramics is proposed by analyzing the variation of magnetic field intensity. It is demonstrated by using Maxwell and Matlab program.

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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
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.34 no.2
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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.

The Impact of SNS Advertising Attribute on Advertising Likeability and Purchase Intention: A Comparison of Difference According to Use Motive and Use Intensity of SNS (SNS 광고속성이 광고호감도와 구매의도에 미치는 영향: SNS 이용동기 및 이용강도에 따른 차이 비교)

  • Kim, Hwa-Dong
    • Journal of the Korea Convergence Society
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    • v.11 no.11
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    • pp.155-163
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    • 2020
  • This study investigated experimentally how factors of SNS advertising attribute impact on advertising likeability and purchase intention according to use motive and use intensity of SNS. Firstly showing difference according to use motive of SNS, in user of motive to managing human relation, reliability of advertising contents has effect the largest and entertainment of advertising interest has effect also as important factor. In user of motive to sharing interest information, irritation of advertising on using SNS has effect the largest negatively and information of advertising's information offering capability has effect larger as positive factor. Next showing difference according to use intensity of SNS, in user of high intensity, reliability and information of advertising contents has effect larger than other factors. In user of low intensity, irritation of advertising has effect the largest negatively and other factors have effect very small. This results can provide a practical contribution that explains important factors in producing effective SNS advertising according to using behavior characteristics of SNS.

Estimation method of noise intensity by neural network for application in speech enhancement (음성강조에의 응용을 위한 신경회로망에 의한 잡음량의 추정법)

  • Choi Jae-Seung
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.3 s.303
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    • pp.129-136
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    • 2005
  • To reduce the noise in the noisy speech, it is desirable to change the parameters of the speech processing system according to the noise intensity to reproduce a good quality speech. This paper proposes an estimation method of noise intensity using a three layered neural network, which is able to learn the three graded speeches that is degraded by white noise or road noise. Experimental results demonstrate that the noise intensity could be estimated by the neural network. Even if the speakers and speech data are different from the training data, estimation rates for the noise intensity can be estimated by the neural network with an average accuracy of $95\%$ or more for white noise.