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Design of New Attenuator Structure with Quad Spiral sHaped Defected Ground Structure

  • Jeong Yongwoo;ong Young-Joo;Park Hyung-Sik;Ahn Dal
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.5 no.5
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    • pp.403-408
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    • 2004
  • We suggest new attenuator design and formula using quad spiral shaped defected ground structure (DGS). Series resistors and quarter wavelength transmission line that has a role of inverter have been synthesized for attenuator design and novel attenuator structure using quad spiral shaped DGS is fabricated, the measurements show good agreement with theoretical anticipations. The suggested attenuator could remove peak of insertion loss graph through various attenuation method. The various attenuations are obtained by attached pin-diodes, 10-15dB attenuation leveling is realized for validity of suggested design.

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An Assessment of Urbanization Using Historic Satellite Photography: Columbus Metropolitan Area, Ohio, 1965

  • Kim, Kee-Tae;Kim, Jung-Hwan;Jayakumar, S.;Sohn, Hong-Gyoo
    • Korean Journal of Remote Sensing
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    • v.23 no.3
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    • pp.221-227
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    • 2007
  • We present an analysis of urban development and growth with reconnaissance satellite photographs of Columbus metropolitan area acquired by the Corona program in 1965. A two-dimensional polynomial linear transformation was used to rectify the photos against United State Geological Survey (USGS) Large-scale Digital Line Graph (DLG) data georeferenced to Universal Transverse Mercator (UTM) coordinates. The boundaries of the Columbus metropolitan area were extracted from the rectified Corona image mosaic using a Bayesian approach to image segmentation. The inferred 1965 urban boundaries were compared with 1976 USGS Land Use and Land Cover (LULC) data and boundaries derived from 1988 and 1994 Landsat TM images. The urban area in and around Columbus approximately doubled from 1965 to 1994 (${\sim}110%$) along with population growth from 1960 to 1998 (${\sim}50%$). Most of the urban expansion results from development of residential units.

An Evaluation Scheme of Torsional Irregularity for Seismic Design of Hanok (한옥의 내진설계를 위한 비틀림비정형 평가 방안)

  • Kim, Yeong-Min
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.35 no.10
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    • pp.191-198
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    • 2019
  • In this paper the evaluation scheme for determining torsional irregularity of Hanok has been proposed. The proposed method can evaluate torsional irregularity of Hanok easily only with characteristics of Hanok shapes, arrangement of lateral load resisting frames and their lateral stiffness without time consuming and complicate 3-dimensional structural analysis. The proposed formula is expressed as allowable maximum eccentricity, and torsional irregularity is evaluated by comparing this value with actual eccentricity. The applicability of the proposed scheme was evaluated by applying it to the line shape plan Hanok with two symmetrically arranged walls and the result was expressed by formula and graph. The results showed that the allowable maximum eccentricity is 10% of plan dimension perpendicular to the seismic load when the walls are placed at the extreme end. The proposed formula was expressed as a generalized formula so it can be applied generally to the various plan shape and wall arrangement of Hanok.

Energy Efficient Graph Setup in ISA100.11a (ISA100.11a 에서 에너지 효율적인 그래프 구성방법)

  • Jung, In-Su;jung, hayeon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.675-678
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    • 2011
  • 무선센서 네트워크는 많이 알려진 연구분야 중 하나이다. 스마트 그리드 나 자동화 시스템 등에 많이 적용된다. 산업장에서 사용되는 무선센서 네트워크 관련표준은 Ziebee, WirelessHART, ISA100.11a 등이 있다. ISA100.11a 는 그래프 라우팅 이라 불리 우는 간단하고 신뢰적인 그래프 라우팅 방법을 제안한다. 그래프 라우팅은 라우팅 테이블이 없는 고정된 라우팅이다. ISA100.11a 에서는 구체적인 라우팅 구성방법에 대해서는 설명되어 있지 않다. 따라서 본 논문에서는 베이스 라인(Base Line)을 이용한 에너지 효율적이고 신뢰적인 그래프 라우팅 구성방법을 제시한다.

Impulsive Noise Mitigation Scheme Based on Deep Learning (딥 러닝 기반의 임펄스 잡음 완화 기법)

  • Sun, Young Ghyu;Hwang, Yu Min;Sim, Issac;Kim, Jin Young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.4
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    • pp.138-149
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    • 2018
  • In this paper, we propose a system model which effectively mitigates impulsive noise that degrades the performance of power line communication. Recently, deep learning have shown effective performance improvement in various fields. In order to mitigate effective impulsive noise, we applied a convolution neural network which is one of deep learning algorithm to conventional system. Also, we used a successive interference cancellation scheme to mitigate impulsive noise generated from multi-users. We simulate the proposed model which can be applied to the power line communication in the Section V. The performance of the proposed system model is verified through bit error probability versus SNR graph. In addition, we compare ZF and MMSE successive interference cancellation scheme, successive interference cancellation with optimal ordering, and successive interference cancellation without optimal ordering. Then we confirm which schemes have better performance.

Comparative Study on Path Design of Traditional Garden and Modernistic Park

  • Ha Jung-A;Toshitaro Minomo
    • Journal of the Korean Institute of Landscape Architecture International Edition
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    • no.2
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    • pp.114-119
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    • 2004
  • By Article two of a Japanese urban park low, it prescribes park facilities strictly, and one of the classifications includes 'path and plaza'. In addition, it is assumed that we divide several kinds different paths of width by size of the park in a path design of a park with a textbook of park design in a trunk line path, the main path, a vice-path or a branch path and design it. From such a thing, in the path of an urban park, a line consists straight of fixed width, and it is most that one pattern is considered to be. Therefore, in modem urban park, a path and division of a plaza are lucid explanation. It is rare that the historical parks which generally former daimyo gardens are shown later, and is used as a kind of an urban park width of the path where was particularly posted in a strolling garden in that is fixed, and width waits straight for even a line and waits, and, for this, there is. As a result, it is a path and the situation that are hard to be distinguished of a plaza. Although there are a difference of design and a difference of pavement materials in modem landscape space when We watch road surface constitution of the path that We did that will let you wait, in gross We are uniform, and it is it with a result to be poor in change nature. From such an observation, this consideration compared traditional landscape space and modem landscape space with path width about two points of road surface constitution through the trial that a graph analyzed the actual place data which measured into and lectured on an ideal method of a park path from this.

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A novel method of objectively detecting tooth ankylosis using cone-beam computed tomography: A laboratory study

  • Luciano Augusto Cano Martins;Danieli Moura Brasil;Deborah Queiroz Freitas;Matheus L Oliveira
    • Imaging Science in Dentistry
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    • v.53 no.1
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    • pp.61-67
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    • 2023
  • Purpose: The aim of this study was to objectively detect simulated tooth ankylosis using a novel method involving cone-beam computed tomography (CBCT). Materials and Methods: Tooth ankylosis was simulated in single-rooted human permanent teeth, and CBCT scans were acquired at different current levels (5, 6.3, and 8 mA) and voxel sizes (0.08, 0.125, and 0.2). In axial reconstructions, a line of interest was perpendicularly placed over the periodontal ligament space of 21 ankylosed and 21 non-ankylosed regions, and the CBCT grey values of all voxels along the line of interest were plotted against their corresponding X-coordinates through a line graph to generate a profile. The image contrast was increased by 30% and 60% and the profile assessment was repeated. The internal area of the resulting parabolas was obtained from all images and compared between ankylosed and non-ankylosed regions under different contrast enhancement conditions, voxel sizes, and mA levels using multi-way analysis of variance with the Tukey post hoc test(α=0.05). Results: The internal area of the parabolas of all non-ankylosed regions was significantly higher than that of the ankylosed regions(P<0.05). Contrast enhancement led to a significantly greater internal area of the parabolas of non-ankylosed regions (P<0.05). Overall, voxel size and mA did not significantly influence the internal area of the parabolas(P>0.05). Conclusion: The proposed novel method revealed a relevant degree of applicability in the detection of simulated tooth ankylosis; increased image contrast led to greater detectability.

50-300 keV X-ray Transmission Ratios for Lead, Steel and Concrete

  • Tae Hwan Kim;Kum Bae Kim;Geun Beom Kim;Dong Wook Kim;Sang Rok Kim;Sang Hyoun Choi
    • Progress in Medical Physics
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    • v.33 no.4
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    • pp.164-171
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    • 2022
  • The number of facilities using radiation generators increases and related regulations are strengthened, the establishment of a shielding management and evaluation technology has become important. The characteristics of the radiation generator used in previous report differ from those of currently available high-frequency radiation generators. This study aimed to manufacture lead, iron, and concrete shielding materials for the re-verification of half-value layers, tenth-value layers, and attenuation curve. For a comparison of attenuation ratio, iron, lead, and concrete shields were manufactured in this study. The initial dose was measured without shielding materials, and doses measured under different types and thicknesses of shielding material were compared with the initial dose to calculate the transmission rate on 50-300 kVp X-ray. All the three shielding materials showed a tendency to require greater shielding thickness for higher energy. The attenuation graph showed an exponential shape as the thickness decreased and a straight line as the thickness increased. The difference between the measurement results and the previous study, except in extrapolated parts, may be due to the differences in the radiation generation characteristics between the generators used in the two studies. The attenuated graph measured in this study better reflects the characteristics of current radiation generators, which would be more effective for shield designing.

Study on the Increase of Egg Weight and Early Selection based on Part Record in Layer (산란종계의 란중 증대성과 조기 선발에 관한 연구)

  • Park, Y.H.;Ohh, B. K.
    • Korean Journal of Poultry Science
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    • v.10 no.2
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    • pp.75-81
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    • 1983
  • The records on 787 white Leghorn hens from two different strains, A and K were wed in this study to find out the pattern of increase in egg weight with age and the optimum age of early selection for maximizing the genetic gain. The pattern of increase in egg weight with age in two lines which was expressed on graph showed that the amount of increase was larger in the early part of the laying year and it decreased gradually. Regression equations suggested that egg weight increased linearly with age at the rate of 0.46 gram per week for line A and 0.83 gram for line K. And in the regression analyses of each period mean egg weight on annual mean egg weight, the coefficients of EW 30 that is mean egg weight from 29 weeks of age to 32 weeks of age were 0.86 for line A, 0.88 for line K, and those were the highest figures among the all regression coefficients of each mean egg weight on annual mean egg weight. In estimating the relative selection efficiency of each period mean egg weight on annual mean egg weight in EW 46, selection on EW 34 for line A and on EW 30 for line K was the most efficient for improving egg weight. These results suggested that one periods from 29 weeks of age to 36 weeks of age could be used for the best predictable time for improving annual mean egg weight.

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Analysis of News Agenda Using Text mining and Semantic Network Analysis: Focused on COVID-19 Emotions (텍스트 마이닝과 의미 네트워크 분석을 활용한 뉴스 의제 분석: 코로나 19 관련 감정을 중심으로)

  • Yoo, So-yeon;Lim, Gyoo-gun
    • Journal of Intelligence and Information Systems
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    • v.27 no.1
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    • pp.47-64
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    • 2021
  • The global spread of COVID-19 around the world has not only affected many parts of our daily life but also has a huge impact on many areas, including the economy and society. As the number of confirmed cases and deaths increases, medical staff and the public are said to be experiencing psychological problems such as anxiety, depression, and stress. The collective tragedy that accompanies the epidemic raises fear and anxiety, which is known to cause enormous disruptions to the behavior and psychological well-being of many. Long-term negative emotions can reduce people's immunity and destroy their physical balance, so it is essential to understand the psychological state of COVID-19. This study suggests a method of monitoring medial news reflecting current days which requires striving not only for physical but also for psychological quarantine in the prolonged COVID-19 situation. Moreover, it is presented how an easier method of analyzing social media networks applies to those cases. The aim of this study is to assist health policymakers in fast and complex decision-making processes. News plays a major role in setting the policy agenda. Among various major media, news headlines are considered important in the field of communication science as a summary of the core content that the media wants to convey to the audiences who read it. News data used in this study was easily collected using "Bigkinds" that is created by integrating big data technology. With the collected news data, keywords were classified through text mining, and the relationship between words was visualized through semantic network analysis between keywords. Using the KrKwic program, a Korean semantic network analysis tool, text mining was performed and the frequency of words was calculated to easily identify keywords. The frequency of words appearing in keywords of articles related to COVID-19 emotions was checked and visualized in word cloud 'China', 'anxiety', 'situation', 'mind', 'social', and 'health' appeared high in relation to the emotions of COVID-19. In addition, UCINET, a specialized social network analysis program, was used to analyze connection centrality and cluster analysis, and a method of visualizing a graph using Net Draw was performed. As a result of analyzing the connection centrality between each data, it was found that the most central keywords in the keyword-centric network were 'psychology', 'COVID-19', 'blue', and 'anxiety'. The network of frequency of co-occurrence among the keywords appearing in the headlines of the news was visualized as a graph. The thickness of the line on the graph is proportional to the frequency of co-occurrence, and if the frequency of two words appearing at the same time is high, it is indicated by a thick line. It can be seen that the 'COVID-blue' pair is displayed in the boldest, and the 'COVID-emotion' and 'COVID-anxiety' pairs are displayed with a relatively thick line. 'Blue' related to COVID-19 is a word that means depression, and it was confirmed that COVID-19 and depression are keywords that should be of interest now. The research methodology used in this study has the convenience of being able to quickly measure social phenomena and changes while reducing costs. In this study, by analyzing news headlines, we were able to identify people's feelings and perceptions on issues related to COVID-19 depression, and identify the main agendas to be analyzed by deriving important keywords. By presenting and visualizing the subject and important keywords related to the COVID-19 emotion at a time, medical policy managers will be able to be provided a variety of perspectives when identifying and researching the regarding phenomenon. It is expected that it can help to use it as basic data for support, treatment and service development for psychological quarantine issues related to COVID-19.