• 제목/요약/키워드: digital mapping

검색결과 713건 처리시간 0.027초

오디오 스펙트럼을 이용한 LED 감성 조명 알고리즘과 응용 (LED Emotional Lighting Algorithm and Application using Audio Spectrum)

  • 장영범;석상철
    • 한국통신학회논문지
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    • 제36권10B호
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    • pp.1252-1257
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    • 2011
  • 이 논문에서는 오디오 신호의 스펙트럼 가시광선 스펙트럼으로 매핑하는 감성 조명 방식을 제안한다. 인간의 청각이 인지하는 오디오 스펙트럼의 전 대역을 시각이 인지하는 가시광 스펙트럼의 전 대역으로 매핑하는 조명 알고리즘을 제안하며 특히 기본적인 선행 매핑 방식과 특정 주파수 대역을 가조하는 비선형 스펙트럼 매핑 방식에 대하여 논한다. 알고리즘의 효과를 실험하기 위하여 DSP 보드로 구현함으로써 제안된 조명 방식의 응용 가능성을 보였다. 따라서 제안된 조명 방식은 스탠드 LED 조명, 화병 LED 조명, 분수용 LED 조명, 건축물용 LED 조명, 노래방용 LED 조명, 청각 장애인용 LED 음악조명 등의 분야에 응용될 수 있을 것이다.

A Building Modeling using the Library-based Texture Mapping

  • Song, Jeong-Heon;Cho, Young-Wook;Han, Dong-Yeob;Kim, Yong-Il
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.744-746
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    • 2003
  • A 3D modeling of urban area can be composed the terrain modeling that can express specific and shape of the terrain and the object modeling such as buildings, trees and facilities which are found in urban areas. Especially in a 3D modeling of building, it is very important to make a unit model by simplifying 3D structure and to take a texture mapping, which can help visualize surface information. In this study, the texture mapping technique, based on library for 3D urban modeling, was used for building modeling. This technique applies the texture map in the form of library which is constructed as building types, and then take mapping to the 3D building frame. For effectively apply, this technique, we classified buildings automatically using LiDAR data and made 3D frame using LiDAR and digital map. To express the realistic building texture, we made the texture library using real building photograph.

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GIS와 3차원 소음지도를 이용한 소음 노출 인구 산정 방법에 관한 연구 - 공장 소음을 중심으로 - (Efficient Method to Estimate the Number of Exposed People to Industrial Noise Using the GIS and Three Dimensional Noise Mapping - Focusing on the Industrial Noise -)

  • 고준희;전형준;장서일
    • 한국소음진동공학회논문집
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    • 제17권6호
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    • pp.491-497
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    • 2007
  • Reasonably accurate estimation of the exposed population to the distinct levels of noise is essential to the efficient management of urban environmental noise. This study proposes a method of calculating the number of exposed people to industrial noise by using GIS tool and noise mapping. The exposed population of noise based on estimation of the number of people that lived in each building in urban area is compared with the one based on density of population. This study suggests the five step method that consists of gathering the fundamental data, extracting the property from the digital map, noise mapping based on the three dimensional topography, estimating population that lives in each building, merging the various results with GIS tool, and estimating exposed population to industrial noise through analyzing the noise map with GIS tools.

Forest Vertical Structure Mapping from Bi-Seasonal Sentinel-2 Images and UAV-Derived DSM Using Random Forest, Support Vector Machine, and XGBoost

  • Young-Woong Yoon;Hyung-Sup Jung
    • 대한원격탐사학회지
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    • 제40권2호
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    • pp.123-139
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    • 2024
  • Forest vertical structure is vital for comprehending ecosystems and biodiversity, in addition to fundamental forest information. Currently, the forest vertical structure is predominantly assessed via an in-situ method, which is not only difficult to apply to inaccessible locations or large areas but also costly and requires substantial human resources. Therefore, mapping systems based on remote sensing data have been actively explored. Recently, research on analyzing and classifying images using machine learning techniques has been actively conducted and applied to map the vertical structure of forests accurately. In this study, Sentinel-2 and digital surface model images were obtained on two different dates separated by approximately one month, and the spectral index and tree height maps were generated separately. Furthermore, according to the acquisition time, the input data were separated into cases 1 and 2, which were then combined to generate case 3. Using these data, forest vetical structure mapping models based on random forest, support vector machine, and extreme gradient boost(XGBoost)were generated. Consequently, nine models were generated, with the XGBoost model in Case 3 performing the best, with an average precision of 0.99 and an F1 score of 0.91. We confirmed that generating a forest vertical structure mapping model utilizing bi-seasonal data and an appropriate model can result in an accuracy of 90% or higher.

항공디지털카메라 영상을 이용한 수치지도 갱신 (Updating Digital Map using Images from Airborne Digital Camera)

  • 황원순;김감래
    • 한국측량학회지
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    • 제25권6_2호
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    • pp.635-643
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    • 2007
  • 국내에 고해상도 지도제작용 항공디지털카메라 영상의 도입 및 공급이 현실화됨에 따라 항공디지털카메라 영상을 이용한 수치지도의 제작 및 갱신에 많은 관심이 모아지고 있다. 본 연구는 푸쉬부룸 항공디지털카메라 영상을 이용하여 기존의 1/1,000 수치지도의 갱신방법을 제시하고자 하였다. GPS측량성과를 이용하여 기하보정을 수행하고, 수치도화를 위해 수치사진측량시스템을 이용하였다. 수치도화는 건물 및 도로를 묘사하였고, GPS측량성과를 이용하여 절대위치정확도 평가와 해석도화에 의해 제작된 수치지도를 이용하여 상대위치정확도 평가를 수행하였다. 절대위치정확도 평가결과, RMSE가 X, Y축으로 각각 ${\pm}0.172m,\;{\pm}0.127m$, 평균거리오차는 0.208m, 상대위치정확도 평가결과, RMSE가 X, Y축으로 각각 ${\pm}0.238m,\;{\pm}0.281m$, 평균거리오차는 0.337m로 나타났다. 따라서, 본 연구에서 제시한 항공디지털카메라 영상을 이용한 수치지도 갱신방법은 국토지리정보원 규정의 허용오차 이내였으므로, 향후 국가기본도 제작은 물론 지자체의 GIS사업 및 다양한 분야에 활용할 수 있다.

디지털인쇄에서 색재현 특성에 관한 연구 (A Study on the Characteristics of Color Reproduction in Digital Printing)

  • 김재해;이성형;조가람;구철회
    • 한국인쇄학회지
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    • 제24권1호
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    • pp.23-34
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    • 2006
  • Color reproduction is one of the most important expression factors in digital printing. In this paper, an experiment was done where the characteristics of color reproduction in digital printing. The results could summarized as follows. The printing used device profile showed a color difference of less than printing used default value in digital printing. As a result of weighting color difference, a difference between color gamut of digital original and color gamut of printing, when transforming the RGB color space to CMY color space, a exclusion the gray revision. The solution is to optimize the color transformation by gamut mapping and gray revision.

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디지털시대의 집합주택 내외부 경계 표현에 관한 연구 (A Study on the Design Expression of the boundary Surfaces in Multi-family Housing of Digital Age)

  • 문은미
    • 한국실내디자인학회논문집
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    • 제13권2호
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    • pp.64-71
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    • 2004
  • This study attempts to clarify inter-relationship between design expression in the surface of contemporary multi-family housing and physical trends in this digital age. The study examines characteristics of housing design influenced from new digital technology in the forms of metaphor such as dematerialization, fluidity and mobility. Currently constructed multi-family housing in Europe after 1990 has been analyzed to find digital reflections in the surfaces. As a conclusion, findings are as follows; In this digital age, a house is considered as a base in the forms of boxes and containers to network to outer worlds. In a complex of multi-family housing, public spaces move to the inside and become parts of private domain. Therefore, a house directly faces a street/outer world without transitional areas and devices. The facades of housing become delicate skins to control private domain in the inside and the world in the outside. In this digital age, the surfaces of housing are designed by ways of wrapping and screening. Printing and mapping methods are used to surface design because they are manipulative and flexible methods in design like graphic design. Screening devices using louvers and shutters are powerful tools to make random and unpredictable images. If units of a louver and a shutter were pixels, a whole surface would be a digital screen. In such assumption, the facade of buildings reflects digital screen to interface while the louvers in operation reflect clicking to network. As a conclusion, design expression in surfaces in-between of multi-family housing is a metaphor of digital mechanism.

지리정보시스템을 위한 기존지도의 수치화에 관한 소개

  • 이현우
    • 전산구조공학
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    • 제4권2호
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    • pp.32-35
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    • 1991
  • 컴퓨터가 발명된 초기에는 대부분 수식계산 처리만이 목적이었으나, 현재는 계산처리의 용도는 물론이고, M.I.S.(Management Information System), 자료의 생성.보관.처리.관리, Computer Graphics에 널리 이용되고 있으며 A.T.(Artificial Interligence), N.N.(Neural Network)까지 활용, 발전되어가고 있는 추세이다. 본 글에서는 현재 국내에서 부상하고 있는 G.I.S.(Geographic Information System)의 소개와 G.I.S.에서 필요로 하는 기존지도의 수치화(Digital Mapping)의 방법과정을 설명하고자 한다.

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