• Title/Summary/Keyword: 기술매핑

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A Study on Mapping Levees Using Drone Imagery (드론영상을 이용한 하천 제방 매핑에 관한 연구)

  • Choung, Yun-Jae;Park, Hyeon-Cheol;Choi, Soo-Young
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.30-30
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    • 2018
  • Research on mapping levees is an important task for assessing levee stability. The drone imagery acquired in river basins is useful for generating real-time levee maps. This research proposes a robust methodology for mapping levees in river basins using the drone imagery. In the first step, the multiple imagery taken in the test bed was acquired by the drone. Then, the orthorectified image and DEM (Digital Elevation Model) were generated by the photogrammetry and image processing process. Finally, the significant features on levee surfaces such as levee tops, levee lines, levee slopes, eroded areas were detected from the generated DEM and orthorectified image by manual labors and automatic methods. In future research, the automatic procedure for identifying the significant levee features from the drone imagery would be proposed.

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Metadata Mapping for Image Retrieval in Distributed Web Environments (분산 웹 환경에서 이미지 검색을 위한 메타데이타 매핑)

  • Kwon, Eun-Young;Na, Yun-Mook;Ahn, Chul-Bum
    • Journal of Korea Multimedia Society
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    • v.9 no.7
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    • pp.782-800
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    • 2006
  • Image metadata is used to describe the contents, structures, and features of a given image data. There exist lots of image metadata-related standards. Such image metadata need to be shared to efficiently search the correct images in Web Service-enabled distributed environments. In this thesis, we propose an interoperable system architecture for utilizing image metadata and query extension methods using metadata mapping for correct and efficient image searching. In the proposed methods, the provider schema using non-standard image metadata are mapped into the schema based on the VRA standard, which is used as a basic and intermediary standard in MDR(MetaData Registry). We support mapping operations between the VRA standard and other standards, to reduce the number of unnecessary mapping operations and to enable easier addition of schema based on new standards. Using the proposed query processing methods, which utilize image metadata and overcome their heterogeneity by metadata mapping, it is possible to severely improve the correctness of image retrieval. To show the usefulness of our schemes, we implemented a prototype system and performed retrieval performance evaluation on extended query processing.

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A Study on Community Mapping for ICT-Based Livestock Infectious Disease Response (ICT 기반 가축 감염병 대응을 위한 커뮤니티 매핑 연구)

  • Koo, Jee Hee;Pyeon, Mu Wook
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.3
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    • pp.247-257
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    • 2020
  • Livestock epidemics, such as foot and mouth disease, are causing enormous economic losses due to their strong infectious power. Early detection of infectious diseases in livestock is very important, but it is difficult to diagnose early in individual farms, and there are frequent cases of transmission through inter-farm movement such as veterinarians and feeding vehicles. In this study, we studied the technology that enables rapid diagnosis without veterinarian farm visits and prevents further spread by automatically monitoring the body temperature of livestock using ubiquitous-based information and communication technology in the early stage of onset and sending it in real time. We have presented a technique for systematically managing livestock epidemics at the farm level, regional level, and national level by using the community mapping technique by using the remote medical treatment system linked to the automatically collected information. In this process, community mapping items for each step and stakeholders were derived for crowd sourcing based spatial information technology.

An Analysis of the 3D Spatial Distribution of Flow rate and Water Quality Convergence Monitoring Results in Rivers (하천에서의 수리·수질 복합 모니터링 결과의 3차원 공간분포 해석연구)

  • Lee, Chang Hyun;Kim, Kyung Dong;Ryu, Si Wan;Kim, Dong Su;Kim, Young Do
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.18-18
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    • 2022
  • 하천 합류부에 있어 수체의 혼합양상을 분석은 고해상도의 자료가 필요하다. 반면에 수질환경 문제와 기존 모니터링 시스템이 고정된 측정 방식으로 이루어지기 때문에 하천 전체의 정보는 저해상도의 결과값은 나타낸다. 또한, 많은 수중 환경 문제가 1차원에서 3차원에 걸쳐 있지만, 대부분의 관측 시스템은 1차원에 머물러 있음을 확인할 수 있다. 이러한 문제를 해결하기 위해서는 보다 발전된 관찰 및 계측이 필요하다. 그에 따른 고해상도의 측정 자료를 얻기 위해서는 측정자가부담을 많이 가지며, 측정할 수 있는 영역이나 시간적으로 제한적이다. 해상도는 낮추되 광범위한 데이터를 취득하기 위해서는 적절한 보간법이 선정되어야 한다. 관련 논문을 검토한 결과, 측정 결과에 따른 2차원 횡단면 분포의 내용이 지배적이었고, 3차원 매핑 및 3차원 분석을 통한 수리학적 정보 획득에 관한 연구는 부족한 실정이였다. 특히 3차원 하천 수질 농도의 연구가 불충분했다. 그에 따라 저해상도 측정결과에서의 예측과 보간법에 대한 시각화를 통해 하천의 전체적인 수리·수질정보를 표기하였다. 각각의 보간법을 비교함으로써 하천 매핑에 있어 IDW, Natual Neighbor, Kriging 기법을 적용하여 시각화된 자료와 정량적 평가를 통해 하천매핑의 정밀성을 향상시켰다. 이를 통해 3차원화된 공간보간 자료를 이용한 하천합류부의 혼합양상을 해석하였다. 3차원 데이터를 활용하는 방법으로 측정 및 모니터링 기술의 중요한 데이터로 활용되며, 이러한 데이터는 유해물질 저감 기술 및 평가 예측 기술의 기초 데이터로 활용되고 있다. 유해화학물질 추정, 호수의 고위험 조류군 계층분석 등 다양한 수생건강 진단기술을 활용할 수 있다.

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A Structure of Spiking Neural Networks(SNN) Compiler and a performance analysis of mapping algorithm (Spiking Neural Networks(SNN)를 위한 컴파일러 구조와 매핑 알고리즘 성능 분석)

  • Kim, Yongjoo;Kim, Taeho
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.613-618
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    • 2022
  • Research on artificial intelligence based on SNN (Spiking Neural Networks) is drawing attention as a next-generation artificial intelligence that can overcome the limitations of artificial intelligence based on DNN (Deep Neural Networks) that is currently popular. In this paper, we describe the structure of the SNN compiler, a system SW that generate code from SNN description for neuromorphic computing systems. We also introduce the algorithms used for compiler implementation and present experimental results on how the execution time varies in neuromorphic computing systems depending on the the mapping algorithm. The mapping algorithm proposed in the text showed a performance improvement of up to 3.96 times over a random mapping. The results of this study will allow SNNs to be applied in various neuromorphic hardware.

CPLD Low Power Technology Mapping using Reuse Module Selection under the Time Constraint (시간제약 조건하에서 모듈 선택 재사용을 이용한 CPLD 저전력 기술 매핑)

  • Kim, Jae-Jin;Lee, Kwan-Hyung
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.3
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    • pp.161-166
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    • 2006
  • In this paper, CPLD low power technology mapping using reuse module selection under the time constraint is proposed. Traditional high-level synthesis do not allow reuse of complex, realistic datapath component during the task of scheduling. On the other hand, the proposed algorithm is able to approach a productivity of the design the low power to reuse which given a library of user-defined datapath component and to share of resource sharing on the switching activity in a shared resource Also, we are obtainable the optimal the scheduling result in experimental results of our using chaining and multi-cycling in the scheduling techniques. Low power circuit make using CPLD technology mapping algorithm for selection reuse module by scheduling.

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Test Process Improvement of Test Organization Through extracting Uncommon/Common Facts based on mapping TMMi with TPI next (TMMi와 TPI next 매핑 기반의 비/공통요소 추출을 통한 조직의 테스트 프로세스 향상)

  • Kim, Kidu;Park, Yong B.;Park, Bokyung;Kim, R.YoungChul;Song, Gi-Pyeong;Shin, Seck-Kyoo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.1504-1506
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    • 2012
  • 소프트웨어 개발 생태계의 변화에 따른 소프트웨어 개발의 다양화 및 Time-to-Market으로 인해 사용자들이 요구하는 소프트웨어 품질수준이 높아졌다. 그러나, 소프트웨어 품질을 향상하는 여러 가지가 방법의 하나로 완벽한 테스트를 통해 가능하다. 하지만, 완벽한 테스트를 수행하는 것은 불가능하다. 이를 해결하기 위해 정형화된 올바른 테스트 프로세스를 적용하여 품질을 높이고자 한다. 본 논문에서는 조직의 테스트 성숙도 수준을 평가할 수 있는 TMMi와 테스트 프로세스를 개선할 수 있는 TPI next의 매핑을 기반으로 조직의 테스트 성숙도 측정과 함께 테스트 프로세스 수준 향상을 위한 가이드를 제공하고자 한다. 이를 위한 절차로 TMMi(level2)와 TPI next의 매핑, 비/공통 요소 추출을 통해 조직의 테스트 프로세스 개선을 위한 가이드를 제공하고자 한다.

A Study on the Design and implementation of Vectoring Tool for GIS (GIS용 벡터링 도구의 설계 및 구현에 관한 연구)

  • 허봉식;김민환
    • Spatial Information Research
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    • v.3 no.2
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    • pp.147-159
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    • 1995
  • To construct GIS successfully, mapping technology, primary S/W technology, and DB tool technology are necessarily required. Among them, the mapping technology is the most important one in constructing a GIS spatial database that needs much time and effort. In this paper, we designed and implemented a systematic and effective vectoring tool. The general vectoring process was analyzed and parted into an automated part and a remaining part for increasing overall efficiency. We also proposed a multi -level representation method for vector data and applied it to the developed vect1lring tool. We could verify usefulness of the proposed representation method.

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Mapping of Synchronized Contents with Music to 3 Dimensional Spatial Cloned Human-Object (3차원 공간으로 복제된 인간 형상 오브제에 음악과 동기화한 콘텐츠의 매핑)

  • Bae, Moon-Kyoung;Lyu, Jae-Ha;Kim, Sangwook
    • The Journal of the Korea Contents Association
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    • v.14 no.11
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    • pp.620-627
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    • 2014
  • In the contemporary age, social environment has changed from analog to digital. As a media is developed, the public is more familiar to digital than analog. In this society, media art rises as new art. One of the most useful methods in the media art is projection mapping. In this paper, I propose a realization process of artwork 'Cloned Me' that is realized by projection mapping method. Artwork is formed by projecting image contents that are visualized a music on a steel structure. It is different from media facade that the object projected contents has a story composition. It is a strength that the object and contents are connected by story and composition. Also it can be modified each other easily for harmony because the structure is assembly-type. A face that is projected by beam projection is consist of unique structure not fixed rectangular frame. Artwork 'Cloned Me' has significance that it reflects the present age to develop digital cloning.