• Title/Summary/Keyword: normalize

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Characteristics of the Photonic Bandgaps in Two-dimensional Photonic Crystals with a Square Lattice by FDTD Simulation (FDTD 시뮬레이션을 이용한 정방형 2차원 광자결정에서의 광자 밴드갭 특성)

  • Yeo, Jong-Bin;Yang, Hoe-Young;Lee, Hyun-Yong
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.22 no.1
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    • pp.61-66
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    • 2009
  • Characteristics of the photonic bandgaps (PEGs) in two-dimensional photonic crystals (2D PCs) with a square lattice have theoretically studied using a finite difference time domain (FDTD) simulation. In this paper, we propose a concept of optical coverage ratio (OCR) as a new structural parameter to determine the PEGs for E-polarized light. The OCR is an optically compensated filling factor. It is possible to normalize the PEGs of 2D PCs by introducing the OCR.

Gait Type Classification Using Pressure Sensor of Smart Insole

  • Seo, Woo-Duk;Lee, Sung-Sin;Shin, Won-Yong;Choi, Sang-Il
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.2
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    • pp.17-26
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    • 2018
  • In this paper, we propose a gait type classification method based on pressure sensor which reflects various terrain and velocity variations. In order to obtain stable gait classification performance, we divide the whole gait data into several steps by detecting the swing phase, and normalize each step. Then, we extract robust features for both topographic variation and speed variation by using the Null-LDA(Null-Space Linear Discriminant Analysis) method. The experimental results show that the proposed method gives a good performance of gait type classification even though there is a change in the gait velocity and the terrain.

Modeling and Implementation of Public Open Data in NoSQL Database

  • Min, Meekyung
    • International Journal of Internet, Broadcasting and Communication
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    • v.10 no.3
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    • pp.51-58
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    • 2018
  • In order to utilize various data provided by Korea public open data portal, data should be systematically managed using a database. Since the range of open data is enormous, and the amount of data continues to increase, it is preferable to use a database capable of processing big data in order to analyze and utilize the data. This paper proposes data modeling and implementation method suitable for public data. The target data is subway related data provided by the public open data portal. Schema of the public data related to Seoul metro stations are analyzed and problems of the schema are presented. To solve these problems, this paper proposes a method to normalize and structure the subway data and model it in NoSQL database. In addition, the implementation result is shown by using MongDB which is a document-based database capable of processing big data.

PCA Covariance Model Based on Multiband for Speaker Verification (화자 확인을 위한 다중대역에 기반한 주성분 분석 공분산 모델)

  • Choi, Min-Jung;Lee, Youn-Jeong;Seo, Chang-Woo
    • Speech Sciences
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    • v.14 no.2
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    • pp.127-135
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    • 2007
  • Feature vectors of speech are generally extracted from whole frequency domain. The inherent character of a speaker is located in the low band or high band frequency. However, if the speech is corrupted by narrowband noise with concentrated energy, speaker verification performance is reduced as the individual characteristic is removed. In this paper, we propose a PCA Covariance Model based on the multiband to extract the robust feature vectors against the narrowband noise. First, we divide the overall frequency band into several subbands. Second, the correlation of feature vectors extracted independently from each subband is removed by PCA. The distance obtained from each subband has different distribution. To normalize against the different distribution, we moved the value into the normalized distribution through the mapping function. Finally, the represented value applying the weighting function is used for speaker verification. In the experiments, the proposed method shows better performance of the speaker verification and reduces the computation.

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BUILDING EXTRACTION FROM LIDAR DATA USING DEVIRED NORMALIZE DIGITAL SURFACE MODEL

  • Nguyen, Dinh-Tai;Lee, Seung-Ho;Cho, Hyun-Kook;Kim, Cheon
    • Proceedings of the KSRS Conference
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    • 2009.03a
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    • pp.286-290
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    • 2009
  • In recent years, LiDAR technology has been becoming more popular and important. Its applications are completely replacing the traditional remote sensing technique. One of these applications is creating Digital City Models in urban areas, which is essential for many others such as disaster management, cartographic mapping, simulation of new buildings, updating and keeping cadastral data. In most of these cases the building outlines is the primary feature of interest. In this paper, a method of extracting building outlines from LiDAR data will be performed.

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Post Filter Algorithm in Block-Base Coding (블럭 기반의 코딩에서의 포스트 필터 알고리즘)

  • Park Eunkyoung;Shim Woosung
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2003.11a
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    • pp.51-54
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    • 2003
  • 일반적으로 블럭기반의 동영상 압축방식은 블럭킹 효과를 필연적으로 수반한다. 특히 저비트율의 동영상에서는 블럭킹 효과가 다른 어떤 영상의 왜곡보다 많이 발생한다. 본 논문에서 H.264에서 이러한 블럭킹 효과를 효율적으로 제거함으로서 주관적 화질을 높일 수 있는 후처리 알고리즘을 제안한다. 제안한 알고리즘은 H.264에서$ 4\times4$에 대한 Offset을 구하는데 움직임 벡터를 이용하여 이전 프레임의 QP(Quantization Parameter)를 이용하고 이용된 QP의 평균을 $-6\~+6$까지의 범위로 normalize 하여 Offset값을 정함으로서 인코더의 성능에 좌우되지 않고 디스플레이 될 수 있게 하는 방법이다.

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A Correction Approach to Bidirectional Effects of EO-1 Hyperion Data for Forest Classification

  • Park, Seung-Hwan;Kim, Choen
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1470-1472
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    • 2003
  • Hyperion, as hyperspectral data, is carried on NASA’s EO-1 satellite, can be used in more subtle discrimination on forest cover, with 224 band in 360 ?2580 nm (10nm interval). In this study, Hyperion image is used to investigate the effects of topography on the classification of forest cover, and to assess whether the topographic correction improves the discrimination of species units for practical forest mapping. A publicly available Digital Elevation Model (DEM), at a scale of 1:25,000, is used to model the radiance variation on forest, considering MSR(Mean Spectral Ratio) on antithesis aspects. Hyperion, as hyperspectral data, is corrected on a pixel-by-pixel basis to normalize the scene to a uniform solar illumination and viewing geometry. As a result, the approach on topographic effect normalization in hyperspectral data can effectively reduce the variation in detected radiance due to changes in forest illumination, progress the classification of forest cover.

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Radiation Therapy of Pituitary Tumors (뇌하수체 선종의 방사선 치료 결과)

  • Park, Moon-Baik;Hong, Seong-Eong
    • Radiation Oncology Journal
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    • v.7 no.2
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    • pp.185-188
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    • 1989
  • Radiation treatment results were analyzed in a retrospective analysis of 47 patients with pituitary adenoma treated with radiation alone or combined with surgery from 1974 through 1987 at the Department of Therapeutic Radiology of Kyung Hee University. The 5-year overall survival rates for all patients was $80.4\%$ Radiation therapy was effective for improving visual symptoms and headache, but could not normalize amenorrhea and galactorrhea. There was no difference of survival rate between radiation alone and combination with surgery. Prognostic factors such as age, sex, disease type, visual field, headache and surgical treatment were statistically no significant in survival rates of these patients.

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Transient Abdominal Distension in Neonate (신생아에 발생한 원인 불명의 일시적인 복부 팽만 3 예)

  • Choi, Jung-Youn;Yun, Eun-Sil;Choi, Kwang-Hae
    • Journal of Yeungnam Medical Science
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    • v.23 no.1
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    • pp.138-142
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    • 2006
  • Abdominal distension is not an uncommon symptom in the neonate; it is indistinguishable from Hirschsprung disease by symptoms and X-ray findings. In three patients, severe abdominal distension was found at early infancy and improved with conservative treatment without relapse. The findings were different from those of Hirschsprung disease. Immaturity or poor coordination of peristaltic movement is postulated as the cause. With maturation such problems can normalize. However the pathogenesis remains unclear and further investigation is needed to improve our understanding.

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Implementation of Character Floating Hologram by Age and Gender Recognitions using Depth Images (깊이영상을 이용한 나이와 성별인식을 통해 캐릭터 플로팅 홀로그램 구현)

  • Oh, Kyoojin;Kwon, Soon-Kak
    • Journal of Korea Multimedia Society
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    • v.22 no.2
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    • pp.146-156
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    • 2019
  • In this paper, we propose a character floating hologram system using the user's gender and age. The proposed system recognizes the gender and age of the user through depth images and color images. The depth images are used to find and normalize facial position. Next, by using facial color images, the age and gender are estimated through an verified database-based model of CNN. Finally, the estimated age and gender are expressed to a character for the floating hologram. The proposed system can be used in a variety of areas, including marketing, advertising, and exhibition events using gender or age.