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Complexity Reduction of Blind Algorithms based on Cross-Information Potential and Delta Functions (상호 정보 포텐셜과 델타함수를 이용한 블라인드 알고리듬의 복잡도 개선)

  • Kim, Namyong
    • Journal of Internet Computing and Services
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    • v.15 no.3
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    • pp.71-77
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    • 2014
  • The equalization algorithm based on the cross-information potential concept and Dirac-delta functions (CIPD) has outstanding ISI elimination performance even under impulsive noise environments. The main drawback of the CIPD algorithm is a heavy computational burden caused by the use of a block processing method for its weight update process. In this paper, for the purpose of reducing the computational complexity, a new method of the gradient calculation is proposed that can replace the double summation with a single summation for the weight update of the CIPD algorithm. In the simulation results, the proposed method produces the same gradient learning curves as the CIPD algorithm. Even under strong impulsive noise, the proposed method yields the same results while having significantly reduced computational complexity regardless of the number of block data, to which that of the e conventional algorithm is proportional.

Estimation of the Medium Transmission Using Graph-based Image Segmentation and Visibility Restoration (그래프 기반 영역 분할 방법을 이용한 매체 전달량 계산과 가시성 복원)

  • Kim, Sang-Kyoon;Park, Jong-Hyun;Park, Soon-Young
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.4
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    • pp.163-170
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    • 2013
  • In general, images of outdoor scenes often contain degradation due to dust, water drop, haze, fog, smoke and so on, as a result they cause the contrast reduction and color fading. Haze removal is not easier problem due to the inherent ambiguity between the haze and the underlying scene. So, we propose a novel method to solve single scene dehazing problem using the region segmentation based on graph algorithm that has used a gradient value as a cost function. We segment the scene into different regions according to depth-related information and then estimate the global atmospheric light. The medium transmission can be directly estimated by the threshold function of graph-based segmentation algorithm. After estimating the medium transmission, we can restore the haze-free scene. We evaluated the degree of the visibility restoration between the proposed method and the existing methods by calculating the gradient of the edge between the restored scene and the original scene. Results on a variety of outdoor haze scene demonstrated the powerful haze removal and enhanced image quality of the proposed method.

Drought index forecast using ensemble learning (앙상블 기법을 이용한 가뭄지수 예측)

  • Jeong, Jihyeon;Cha, Sanghun;Kim, Myojeong;Kim, Gwangseob;Lim, Yoon-Jin;Lee, Kyeong Eun
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.5
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    • pp.1125-1132
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    • 2017
  • In a situation where the severity and frequency of drought events getting stronger and higher, many studies related to drought forecast have been conducted to improve the drought forecast accuracy. However it is difficult to predict drought events using a single model because of nonlinear and complicated characteristics of temporal behavior of drought events. In this study, in order to overcome the shortcomings of the single model approach, we first build various single models capable to explain the relationship between the meteorological drought index, Standardized Precipitation Index (SPI), and other independent variables such as world climate indices. Then, we developed a combined models using Stochastic Gradient Descent method among Ensemble Learnings.

Methodologies to Improve Emotional Image Qualities by Optimizing Technological Image Quality Metrics (기술적인 화질 지표 조절양 최적화를 통한 감성 화질 향상 방안)

  • You, Jae-Hee
    • Science of Emotion and Sensibility
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    • v.20 no.1
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    • pp.57-66
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    • 2017
  • Emotional image quality optimization methodologies are investigated using technological image quality controls based on the eye tests of various image samples. The images are evaluated based on various contrast, lightness and saturation image quality metric tone curves. The order of importance to image quality enhancements is contrast, saturation and brightness. The slopes of emotional image qualities with respect to technical image quality metric changes are found to be composed of mathematical function modelling with nearly zero, intermediate and maximum slope regions in general, which can reflect well known log and saturated as well as conventional reverse U shape natures. Image quality improvements are analyzed not only with just single but also with multiple image quality metrics. To ease the unified image quality metric analysis and control, a new function is presented to utilize both the newly found and conventional emotional image quality behaviors. It is found that the overall image quality enhancement can be realized only in a few limited cases of multiple image quality metric controls. It is also found that the kinds of image quality enhancement methodologies are not strongly dependent on image contents (genre).

The Characteristics of Amorphous-Oxide-Semiconductor Thin-Film-Transistors According to the Active-Layer Structure (능동층 구조에 따른 비정질산화물반도체 박막트랜지스터의 특성)

  • Lee, Ho-Nyeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.7
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    • pp.1489-1496
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    • 2009
  • Amorphous indium-gallium-zinc-oxide thin-film-transistors (TFTs) were modeled successfully. Dependence of TFT characteristics on structure, thickness, and equilibrium electron-density of the active layer was studied. For mono-active-layer TFTs, a thinner active layer had higher field-effect mobility. Threshold voltage showed the smallest absolute value for the 20 nm active-layer. Subthreshold swing showed almost no dependence on active-layer thickness. For the double-active-layer case, better switching performances were obtained for TFTs with bottom active layers with higher equilibrium electron density. TFTs with thinner active layers had higher mobility. Threshold voltage shifted in the minus direction as a function of the increase in the thickness of the layer with higher equilibrium electron-density. Subthreshold swing showed almost no dependence on active-layer structure. These data will be useful in optimizing the structure, the thickness, and the doping ratio of the active layers of oxide-semiconductor TFTs.

Spatial and Seasonal Variability of Soil Moisture Responses along Transect Line on a Forest Hillslope in the Cheong-Mi Catchment (청미천 유역 내 산림사면에서 단면선에 따른 토양수분특성의 공간적 및 계절적 변동)

  • Gwak, Yong Seok;Kim, Sang Hyun;Lee, Jung Hun;Lee, Yeun Gil;Jung, Sung Won;Kim, Su Jin
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.473-473
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    • 2015
  • 토양수분은 수문학적 과정의 시공간적 변동과 수자원 관리 및 계획 그리고 기후변화에 따른 자연재해의 원인규명에 중요한 부분이다. 본 연구에서는 사면의 단면선에 따른 토양수분의 분포 및 변동을 파악하기 위해, 청미천 유역내의 사면에서 10개월 동안의 토양수분들을 측정하여, 토양깊이별, 계절별로 분석하였다. 토양수분특성은 간단한 통계적 방법을 이용하여, 평균, 표준편차 그리고 토양수분의 감쇄기울기 값으로 표현하였다. 추가적 연구로, 측정지점의 위치, 지형, 토성의 토양수분에 대한 반응분석을 하였다. 깊은 토양층에서의 토양수분의 공간적 분포는 지표층에서의 공간적 분포 경향과는 상이하게 나타났으며, 사면의 지형 및 위치 그리고 토성의 공간적 분포는 토양수분의 시 공간적 분포특징에 큰 영향을 주는 것으로 나타났다. 특히 상부흐름의 기여를 받는 측정지점에서는 토양수분 변동의 안정화가 진행이 되는 것으로 보이며, 수문학적 경계(Hydrologic Threshold)에 대한 추가연구가 진행되어야 할 것으로 판단된다. 상부사면에서의 높은 토양수분 변동성 및 뷸 균질적인 공간적 분포는 우선적 흐름발달의 영향과 관련이 있다고 판단된다.

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Moving Object Classification through Fusion of Shape and Motion Information (형상 정보와 모션 정보 융합을 통한 움직이는 물체 인식)

  • Kim Jung-Ho;Ko Han-Seok
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.43 no.5 s.311
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    • pp.38-47
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    • 2006
  • Conventional classification method uses a single classifier based on shape or motion feature. However this method exhibits a weakness if naively used since the classification performance is highly sensitive to the accuracy of moving region to be detected. The detection accuracy, in turn, depends on the condition of the image background. In this paper, we propose to resolve the drawback and thus strengthen the classification reliability by employing a Bayesian decision fusion and by optimally combining the decisions of three classifiers. The first classifier is based on shape information obtained from Fourier descriptors while the second is based on the shape information obtained from image gradients. The third classifier uses motion information. Our experimental results on the classification Performance of human and vehicle with a static camera in various directions confirm a significant improvement and indicate the superiority of the proposed decision fusion method compared to the conventional Majority Voting and Weight Average Score approaches.

Unidirectonal single-mode operation of a Nd:YAG laser by using a planar semimonolithic ring cavity (평면 반일체 고리형 공진기를 이용한 Nd:YAG 레이저의 단방향 단일 모드 발진)

  • 박종락;이해웅;윤태현;정명세
    • Korean Journal of Optics and Photonics
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    • v.10 no.4
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    • pp.311-317
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    • 1999
  • Unidirectional single-mode operation of a diode-pumped Nd:YAG laser with a planar semimonolithic ring cavity has been demostrated at 1064 nm. The semimonolithic cavity consists of a laser active medium placed in a magnetic field, a crystal quartz plate, and an output coupling mirror. They form an optical diode by acting each part as a Faraday rotator, a reciprocal polarization rotator and a partial polarizer, respectively. An eigenpolarization theory for the cavity configuration was presented and losses for the eigenmodes were calculated. A pump-limited single-mode output power of 155 mW and a slope efficiency of 17% were obtained when the laser was pumped by a 1.2 W, 809 nm diode-laser. A laser linewidth of less than 100 kHz is inferred from a beat note frequency spectrum between two identical laser systems and continous single-mode tuning range was more than 2 GHz.

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Estimation of Individual Vehicle Speed Using Single Sensor Configurations (단일 센서(Single Sensor)를 활용한 차량속도 추정에 관한 연구)

  • Oh, Ju-Sam;Kim, Jong-Hoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.3D
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    • pp.461-467
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    • 2006
  • To detect individual vehicular speed, double loop detection technique has been widely used. This paper investigates four methodologies to measure individual speed using only a single loop sensor in a traveling lane. Two methods developed earlier include estimating the speed by means of (Case 1) the slop of inductance wave form generated by the sensor and (Case 2) the average vehicle lengths. Two other methods are newly developed through this study, which are estimations by measuring (Case 3) the mean of wheelbases using the sensor installed traversal to the traveling lane and (Case 4) the mean of wheel tracks by the sensor installed diagonally to the traveling lane. These four methodologies were field-tested and their accuracy of speed output was compared statistically. This study used Equality Coefficient and Mean Absolute Percentage Error for the assessment. It was found that the method (Case 1) was best accurate, followed by method (Case 4), (Case 2), and (Case 3).

HPLC Study for Egg White Analysis (달걀 단백질 분석을 위한 HPLC 연구)

  • Jeon, Young-Ju;Lee, Eun;Kim, In-Ho
    • KSBB Journal
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    • v.22 no.2
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    • pp.119-122
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    • 2007
  • Since egg white contains various protein, it is important to research the protein distribution of egg white. Specially, lysozyme and ovalbumin important proteins, are used in medicine and food industry. Reversed phase high performance liquid chromatography has been used for separation of egg white, and column of RP-HPLC is available in variety. We have used C4, C8 and C18 columns to obtain chromatograms by varying carbon chain length of stationary phase. Long carbon chain length of stationary phase has good separation of egg white. Also, we have changed the composition of mobile phase (acetonitrile, water, and trifluoroacetic acid) to find optimum chromatograms. Acetonitrile and water composition of 50 : 50 show many peaks from egg white. Isocartic and gradient elution in RP-HPLC were used to compare the chromatography of egg white.