• 제목/요약/키워드: Real-time mapping system

검색결과 208건 처리시간 0.026초

패션디자인을 위한 2.5D맵핑 시스템의 구현 (Implementation of 2.5D Mapping System for Fashion Design)

  • 이민규;김영운;조진애;한성국;정성태;이용주;정석태
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2005년도 추계종합학술대회
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    • pp.599-602
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    • 2005
  • 본 연구에서는 패션 디자인 분야에서 완성된 의상의 모델 사진을 활용해 다양한 원단을 직접 Draping함으로써 새로운 디자인을 창출할 수 있고 직접 샘플이나 시제품을 제작하지 않고도 시뮬레이션만으로 의상 작품을 확인 할 수 있도록 하였다. 또한 모델과 원단 이미지에 대한 데이터베이스를 구축하여 실시간으로 Mapping 결과를 확인할 수 있으며, 모델 사진과 원단 이미지의 자연스러운 Draping을 구현하기 위해 영역(Path)추출 알고리즘, 워프(Warp)알고리즘, 명암 추출과 적용 알고리즘을 이용한 2.5D Mapping 시스템을 개발 하였다.

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Graphical User Interface 및 자동화에 기초를 둔 뇌파 및 뇌 유발 전위 진단 시스템 (Development of an EEG and EP Mapping System based on the Graphical User Interface and Machine Automation)

  • 김일연;이택용;안창범
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1994년도 추계학술대회
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    • pp.81-84
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    • 1994
  • A clinically oriented EEG and EP mapping system was developed with user-friendly interface and easy interactive operations. The system was based on the graphical user interface developed with C/C++ and Software Development Kit (SDK) operated under Microsoft Windows 3.1. Continuous acquisition for the EEG signal and burst mode acquisition for EEG signal syncronized to the external stimuli arc implemented with real time display. A neural network based automatic artifact discrimation is developed and implemented with which examination time can be reduced by a factor of 3 or more. Several bands of spectral maps and spectrums arc displayed for EEG diagnosis. Amplitude maps of EP signal at specified times by operator are displayed together with cine mode of EP maps for dynamic study. Source localization and other statistical signal processing are also included.

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정수형 퍼지제어기법을 적용한 실시간 고속 퍼지제어시스템 (A Real-time High-speed Fuzzy Control System Using Integer Fuzzy Control Method)

  • 손기성;김종혁;성은무;이상구
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 춘계 학술대회 학술발표 논문집
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    • pp.299-302
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    • 2003
  • 대용량의 퍼지데이터를 처리하기 위한 퍼지제어 시스템의 가장 큰 과제는 퍼지추론 및 비퍼지화 단계에서의 수행속도의 개선이다. 본 논문에서는 퍼지제어기의 속도 향상을 위해 [0, 1]사이의 실수값을 갖는 퍼지 소속 함수값을 정수형 격자(pixel)에 매핑시켜 정수형 퍼지 소속함수값만을 가지고 퍼지연산을 하는 정수형 퍼지제어기법을 적용한 고속이 정수 연산을 수행하는 퍼지 프로세서와 주변제어 시스템을 FPGA로 설계하여 기존 퍼지제어 시스템에 비해 매우 빠른 실시간 고속퍼지 제어시스템을 구현한다.

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Automatic wall slant angle map generation using 3D point clouds

  • Kim, Jeongyun;Yun, Seungsang;Jung, Minwoo;Kim, Ayoung;Cho, Younggun
    • ETRI Journal
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    • 제43권4호
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    • pp.594-602
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    • 2021
  • Recently, quantitative and repetitive inspections of the old urban area were conducted because many structures exceed their designed lifetime. The health of a building can be validated from the condition of the outer wall, while the slant angle of the wall widely serves as an indicator of urban regeneration projects. Mostly, the inspector directly measures the inclination of the wall or partially uses 3D point measurements using a static light detection and ranging (LiDAR). These approaches are costly, time-consuming, and only limited space can be measured. Therefore, we propose a mobile mapping system and automatic slant map generation algorithm, configured to capture urban environments online. Additionally, we use the LiDAR-inertial mapping algorithm to construct raw point clouds with gravity information. The proposed method extracts walls from raw point clouds and measures the slant angle of walls accurately. The generated slant angle map is evaluated in indoor and outdoor environments, and the accuracy is compared with real tiltmeter measurements.

An Adaptive and Real-Time System for the Analysis and Design of Underground Constructions

  • Gutierrez, Marte
    • 한국지반공학회지:지반
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    • 제26권9호
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    • pp.33-47
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    • 2010
  • Underground constructions continue to provide challenges to Geotechnical Engineers yet they pose the best opportunities for development and deployment of advance technologies for analysis, design and construction. The reason for this is that, by virtue of the nature of underground constructions, more data and information on ground characteristics and response become available as the construction progresses. However, due to several barriers, these data and information are rarely, if ever, utilized to modify and improve project design and construction during the construction stage. To enable the use of evolving realtime data and information, and adaptively modify and improve design and construction, the paper presents an analysis and design system, called AMADEUS, for underground projects. AMADEUS stands for Adaptive, real-time and geologic Mapping, Analysis and Design of Underground Space. AMADEUS relies on recent advances in IT (Information Technology), particularly in digital imaging, data management, visualization and computation to significantly improve analysis, design and construction of underground projects. Using IT and remote sensors, real-time data on geology and excavation response are gathered during the construction using non-intrusive techniques which do not require expensive and time-consuming monitoring. The real-time data are then used to update geological and geomechanical models of the excavation, and to determine the optimal, construction sequences and stages, and structural support. Virtual environment (VE) systems are employed to allow virtual walk-throughs inside an excavation, observe geologic conditions, perform virtual construction operations, and investigate stability of the excavation via computer simulation to steer the next stages of construction.

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자기 동적 신경망을 이용한 RCP 감시 시스템의 경보진단 (Alarm Diagnosis of RCP Monitoring System using Self Dynamic Neural Networks)

  • 유동완;김동훈;성승환;구인수;박성욱;서보혁
    • 대한전기학회논문지:시스템및제어부문D
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    • 제49권9호
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    • pp.512-519
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    • 2000
  • A Neural networks has been used for a expert system and fault diagnosis system. It is possible to nonlinear function mapping and parallel processing. Therefore It has been developing for a Diagnosis system of nuclear plower plant. In general Neural Networks is a static mapping but Dynamic Neural Network(DNN) is dynamic mapping.쪼두 a fault occur in system a state of system is changed with transient state. Because of a previous state signal is considered as a information DNN is better suited for diagnosis systems than static neural network. But a DNN has many weights so a real time implementation of diagnosis system is in need of a rapid network architecture. This paper presents a algorithm for RCP monitoring Alarm diagnosis system using Self Dynamic Neural Network(SDNN). SDNN has considerably fewer weights than a general DNN. Since there is no interlink among the hidden layer. The effectiveness of Alarm diagnosis system using the proposed algorithm is demonstrated by applying to RCP monitoring in Nuclear power plant.

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파장 코딩된 실시간 슬릿 공초점 현미경의 설계 (Design of spectrally encoded real-time slit confocal microscopy)

  • 김정민;강동균;권대갑
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 추계학술대회 논문집
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    • pp.576-580
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    • 2005
  • New real-time confocal microscopy using spectral encoding technique and slit confocal aperture is proposed and designed. Spectral encoding technique, which encodes one-dimensional spatial information of a specimen in wavelength, and slit aperture make it possible to obtain two-dimensional lateral image of the specimen simultaneously at standard video rates without expensive scanning units such as polygon mirrors and galvano mirrors. The working principle and the configuration of the system are explained. The variation in axial responses for the simplified model of the system with normalized slit width is numerically analyzed based on the wave optics theory. Slit width that directly affects the depth discrimination of the system is determined by a compromise between axial resolution and signal intensity from the simulation result. On the assumption of the lateral sampling resolution of 50 nm, design variables and governing equations of the system are derived. The system is designed to have the mapping error less than the half pixel size, to be diffraction-limited and to have the maximum illumination efficiency. The designed system has the FOV of $12.8um{\times}9.6um$, the theoretical axial FWHM of 1.1 um and the lateral magnification of-367.8.

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GPS 실시간 동적측위법을 이용한 도로 편경사 추출 (Extraction of Highway′s Superelevation Using GPS Real Time Kinematic Surveying)

  • 서동주;장호식;이종출
    • 한국측량학회지
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    • 제20권2호
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    • pp.183-190
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    • 2002
  • 본 연구는 도로 유지관리차원에서 Data Base구축을 위한 경제적 방법인 GPS위성측량 방법중 실시간 동적 관측기법을 이용하여 도로 편경사를 추출하였다. 자체 개발한 차대를 이용하여 도로의 중심선과 양단 노견을 측정하고 분석한 결과 충분한 정확도를 얻을 수 있었다. 분석결과로는 완화곡선에서 약 1.3~2.0cm의 오차, 원곡선구간에서 약 0.8~1.2cm의 오차가 나타났으며, 이 오차는 시공상의 Lane Marking에 대한 오차로 판단된다. 본 연구의 결과는 Mobile Mapping System에서 도로선형요소 추출에 기본자료로 활용되리라 기대된다.

BPEJTC를 이용한 광 영상 스위칭 시스템 (Optical Image Switching System based on BPEJTC)

  • 이상이;이승현;양훈기;김은수
    • 전자공학회논문지A
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    • 제32A권10호
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    • pp.51-63
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    • 1995
  • In this paper, a new real-time optical image switching system based on the phase-typed BPEJTC is suggested. The phase filter mask which has the arbitrary position mapping function between input and output planes is constructed by using the modified JTPS of the BPEJTC. Then, the input image is convolved with this phase filter mask in the spatial frequency domain and through further Fourier transform the input image is switched to the new positions in the output correlation plane where the correlation peaks are occurred. And, based on the computer simulation results, the practical optical switched to the new positions in the output correlation plane where the correlation peaks are occurred. And, based on the computer simulation results, the practical optical switching system is opto-digitally constructed and through some experiments on image switching the possiblity of real-time implementation of the multiple optical image switching system by using the BPEJTC is suggeste.

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컴퓨터 포렌식스 지원을 위한 시스템 로그 및 휘발성 정보 수집에 관한 연구 (A Study of System Log and Volatile Information Collection for Computer Forensics)

  • 고은주;오세민;장은겸;이종섭;최용락
    • 정보학연구
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    • 제10권4호
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    • pp.41-56
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    • 2007
  • In Digital Computing Environment, volatile information such as register, cache memory, and network information are hard to make certain of a real-time collection because such volatile information are easily modified or disappeared. Thus, a collection of volatile information is one of important step for computer forensics system on ubiquitous computing. In this paper, we propose a volatile information collection module, which collects variable volatile information of server system based on memory mapping in real-time.

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