• Title/Summary/Keyword: Spatial Unit

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Study on improvements for flows near cut-off region in blower (송풍기 설부 주변 유동의 개선에 관한 연구)

  • Kim J. W.;Park J. W.
    • Journal of computational fluids engineering
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    • v.8 no.1
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    • pp.1-7
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    • 2003
  • The present study has conducted the analysis of flows in a blower with double suction. The air handling system is for supplying air flows into a plant. The present system has a couple of impellers in axial direction for enhanced flow rate. Main interest lies on the improvements of static pressure rise and total efficiency of the system. The present treatment of the reform is to secure a spatial distance between the fan and the casing of the system and change the shape of the cut-off part. The resultant performance after the reform shows increased pressure-rise and efficiency of the system

A Method of Detailed Urban Land Use Classification Using a Statistical Unit (통계단위를 활용한 도시지역 상세 토지이용 분류기법)

  • Min, Sook-Joo;Kim, Kye-Hyun
    • 한국지형공간정보학회:학술대회논문집
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    • 2004.10a
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    • pp.103-106
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    • 2004
  • 토지이용정보는 토지이용계획, 도시계획, 환경관리 등을 위한 기초자료로 사용되고 있으며, 최근에는 인구가 밀집된 도시지역에서 환경문제를 고려한 정책 수립을 위하여 상세한 토지이용정보를 필요로 하고 있다. 그러므로 본 연구에서는 작은 공간단위로 토지이용을 구분하기 위하여 통계단위자료와 기 제작된 수치지형도를 활용하여 도시지역의 토지이용 분류기법을 제시하였다. 제시된 분류기법의 활용 가능성을 확인하기 위하여 서울시 일부지역을 대상으로 실험분석 하였으며, 그 결과 산림지역을 제외하고 전체적으로 높은 정확도를 보였다. 향후 산림지역에 대한 토지이용정보 취득 방법을 보완할 경우 본 연구에서 제시한 방법은 도시지역 토지이용정보 취득에 효율적으로 사용될 수 있을 것으로 판단된다. 또한 통계단위와 토지이용정보 구분단위가 일치하므로 다양한 통계집계자료와 함께 분석하는데 유용하게 활용될 수 있을 것으로 사료된다.

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Comparison of fully coupled hydroelastic computation and segmented model test results for slamming and whipping loads

  • Kim, Jung-Hyun;Kim, Yonghwan;Korobkin, Alexander
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.6 no.4
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    • pp.1064-1081
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    • 2014
  • This paper presents a numerical analysis of slamming and whipping using a fully coupled hydroelastic model. The coupled model uses a 3-D Rankine panel method, a 1-D or 3-D finite element method, and a 2-D Generalized Wagner Model (GWM), which are strongly coupled in time domain. First, the GWM is validated against results of a free drop test of wedges. Second, the fully coupled method is validated against model test results for a 10,000 twenty-foot equivalent unit (TEU) containership. Slamming pressures and whipping responses to regular waves are compared. A spatial distribution of local slamming forces is measured using 14 force sensors in the model test, and it is compared with the integration of the pressure distribution by the computation. Furthermore, the pressure is decomposed into the added mass, impact, and hydrostatic components, in the computational results. The validity and characteristics of the numerical model are discussed.

Development Research of Integration and Synchronization of Multi Sensors for Mobile Mapping System (모바일 매핑시스템을 위한 멀티 센서 통합 및 동기화 방안 연구)

  • 박영무;이종기;성정곤;김병국
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2004.03a
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    • pp.167-172
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    • 2004
  • 모바일 매핑시스템은 차량에 GPS(Global Positioning System), IMU(Inertial Measurement Unit), CCD 카메라 등을 탑재하고 공간 및 속성 정보를 취득하는 효율적인 방법이다. 모바일 매핑시스템은 도로 시설물 관리, 지도 갱신 등 다양한 분야에 이용되고 있다. 국외에서 개발된 모바일 매핑 시스템을 업그레이드하거나 새로운 센서를 추가 하고자 할 때 기존 시스템의 센서 통합 및 동기화 방안을 알 수 없으므로 시스템의 개선 및 향상이 어렵다. 본 연구에서는 모바일 매핑시스템의 개선 및 센서추가를 위해서 모바일 매핑시스템에 기본적으로 필요한 GPS, IMU, 그리고 CCD 카메라 등의 효율적인 통합 및 동기화 구현 방안을 제시하고, 동기화에 필요한 각 센서의 요구사항을 파악한 후 동기화 장비를 설계 및 제작하였다. 또한, 향후 추가될 센서인 레이져, 오도미터(Odometer) 등을 센서가 추가될 경우를 고려하여 통합장비를 설계하였다.

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A Study on the Plan Change in Japan Rural House by the Modernization - Focused on the Miyashiro in Saitama pref., Japan - (일본 농촌주택의 현대화에 의한 평면변화에 관한 연구 - 일본(日本) 기옥현 궁대정(宮代町)을 중심으로 -)

  • Kim, Kang Sub
    • Journal of the Korean Institute of Rural Architecture
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    • v.8 no.3
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    • pp.1-8
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    • 2006
  • A house is basic unit of human being living space and it reflects an occupation, family relation, a life style and sense of value of resident. To analyze of modernization process the rural house in Japan diversely and systematically, this study examined the elements and characteristics of changing floor plan in house through field studies and residential interviewing about the rural house of Miyashiro, Saitama pref. in Japan. The results of this study are as follow. First, the traditional TANOJI type changed into NAKAROUKA and TSUZUKIMA type on modernizing process. Second, Toma is an important space of farmhouse. It is succeeded with the element, which is the possibility of knowing the remnant of traditional element from modern rural house. Third, the cause of changing floor plan is a narrow and small space by growth of children. That is the most factor of changing house deterioration of equipments and necessity of children's space.

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The Tectonic Characteristics of ′KAN′ in the head residence of Uisong Kims (의성 김씨종택에 있어서 간의 건축적 특성)

  • 장선주;이강훈
    • Journal of the Korean housing association
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    • v.15 no.3
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    • pp.11-19
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    • 2004
  • The purpose of this study is to explain the tectonic characteristics of 'Kan' which is an unit of composition in the head residence of Uisong Kims. Here, the 'Kan' is assumed as a conceptual framework to organize a house and also a maneuvering tool to control the spatial order with relationship between the whole and the part. Not limited to the simple conceptual aspects, but the interrelated elements such as the site conditions, modules, functions, structure and aesthetic factors. Through the process of the study, the role of 'Kan' is proved to be a tectonic tool for self-regulating architectural order by relation matrix of elements. 'Kan' is not only a fixed measuring tool for functions and material of a house but also a flexible device to control the building composition. 'Kan' is certainly a relative subject for measurement of form, space and aesthetic quality.

Face Recognition Research Based on Multi-Layers Residual Unit CNN Model

  • Zhang, Ruyang;Lee, Eung-Joo
    • Journal of Korea Multimedia Society
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    • v.25 no.11
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    • pp.1582-1590
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    • 2022
  • Due to the situation of the widespread of the coronavirus, which causes the problem of lack of face image data occluded by masks at recent time, in order to solve the related problems, this paper proposes a method to generate face images with masks using a combination of generative adversarial networks and spatial transformation networks based on CNN model. The system we proposed in this paper is based on the GAN, combined with multi-scale convolution kernels to extract features at different details of the human face images, and used Wasserstein divergence as the measure of the distance between real samples and synthetic samples in order to optimize Generator performance. Experiments show that the proposed method can effectively put masks on face images with high efficiency and fast reaction time and the synthesized human face images are pretty natural and real.

Developing a Scanner for Assessing Foliage Moisture

  • Nakajima, Isao;Ohyama, Futoshi;Juzoji, Hiroshi;Ta, Masuhisa
    • Journal of Multimedia Information System
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    • v.6 no.3
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    • pp.155-164
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    • 2019
  • We intended to confirm that microwave attenuation by tree leaves is strongly linked to water content in leaves. We sampled natural broadleaves, including Japanese cinnamon, and investigated their effects on the microwave (3 to 20 GHz) frequency characteristics using a network analyzer. Experiments determined that microwave attenuation by foliage increases as a linear function of frequency per unit weight (gram). As the frequency increases, the spatial resolution increases, but the phase difference (imaginary component) increases. So we solved the dispersion of phase difference by sweeping the frequency and taking the intermediate value. Based on these experimental results, we developed a microwave scanner on 10Ghz to describe foliage moisture as a image and to enable assessments of leaf condition. Photosynthesis is the process whereby plants synthesize oxygen and sugars from carbon dioxide and water, thereby converting light energy into chemical energy. Since water is a major parameter of photosynthesis, the quantity of water accumulated inside a leaf reflects leaf health. The equipment described here and related microwave technologies will help assess the capacity of leaves to absorb atmospheric carbon dioxide.

Merging, Recoiling, or Slingshotting of Supermassive Black Holes in a Red AGN 1659+1834

  • Kim, Dohyeong;Im, Myungshin
    • The Bulletin of The Korean Astronomical Society
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    • v.46 no.1
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    • pp.31.1-31.1
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    • 2021
  • We report the Gemini Multi-Object Spectrograph (GMOS) Integral Field Unit (IFU) observation of a red active galactic nucleus (AGN), 2MASSJ165939.7+183436 (1659+1834). 1659+1834 is a prospective merging supermassive black hole (SMBH) candidate due to its merging features and double-peaked broad emission lines. The double-peaked broad emission lines are kinematically separated by 3000 km/s, with the SMBH of each component weighing at 10^8.9 and 10^7.1 solar mass. Our GMOS IFU observation reveals that the two components of the double-peaked broad emission line are spatially separated by 0.085" (~250pc). In different assumptions for the line fitting, however, a null (<0.05") or a larger spatial separation (~0.15") are also possible. For this GMOS IFU observational results of 1659+1834, various models can be viable solutions, such as the disk emitter and multiple SMBH models. We believe that these results show the need for future research of finding more multiple SMBH systems in red AGNs.

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A New Recurrent Neural Network Architecture for Pattern Recognition and Its Convergence Results

  • Lee, Seong-Whan;Kim, Young-Joon;Song, Hee-Heon
    • Journal of Electrical Engineering and information Science
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    • v.1 no.1
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    • pp.108-117
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    • 1996
  • In this paper, we propose a new type of recurrent neural network architecture in which each output unit is connected with itself and fully-connected with other output units and all hidden units. The proposed recurrent network differs from Jordan's and Elman's recurrent networks in view of functions and architectures because it was originally extended from the multilayer feedforward neural network for improving the discrimination and generalization power. We also prove the convergence property of learning algorithm of the proposed recurrent neural network and analyze the performance of the proposed recurrent neural network by performing recognition experiments with the totally unconstrained handwritten numeral database of Concordia University of Canada. Experimental results confirmed that the proposed recurrent neural network improves the discrimination and generalization power in recognizing spatial patterns.

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