• Title/Summary/Keyword: location detection

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An Autonomic Architecture of Location Detection Process Strategies for Ubiquitous Environment (유비쿼터스 환경을 위한 위치 감지 프로세스 전략의 자동화 구조)

  • 최호영;최창열;김성수
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10c
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    • pp.229-231
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    • 2004
  • 유비쿼터스 환경에서 이동하는 객체 위치를 감지하고 서비스를 제공하는 위치 감지 시스템의 역할은 매우 중요하다. 하지만, 감지 시스템들은 적용되는 감지 범위에 따라 프로세스 전락이 다르고 사용이 제한적이기 때문에 신뢰성 있는 QoS를 보장하기가 힘든 실정이다. 따라서 본 논문에서는 지능적인 모니터링 기법을 사용하여 상황을 분석하고 자동으로 최적의 감지 프로세스 전략을 선택하는 자동화 시스템을 설계하였다. 또한 네트워크 대역폭 변화에 따라 최적 QoS를 보장할 수 있는 제안된 시스템의 성능을 시뮬레이션을 통해 검증한다.

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Detection speed of negative information in anxious participants

  • Choi, Moon-Gee;Nam, Ki-Chun
    • Proceedings of the Korean Society for Cognitive Science Conference
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    • 2006.06a
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    • pp.39-41
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    • 2006
  • A modifiedPosner cue-target paradigm in which neutral, positive and negative (threat) words were presented in peripheral location for cue was used to investigate the difference of engagement component of attention across emotional valence and anxiety level of participants. Results showed an interaction effect between anxiety level of participants and emotional valence of cue in valid trial. This indicates that the engage component of attention is not encapsulated and influenced by anxiety level of participant.

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Neural Nerwork Application to Bad Data Detection in Power Systems (전력계토의 불량데이타 검출에서의 신경회로망 응용에 관한 연구)

  • 박준호;이화석
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.43 no.6
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    • pp.877-884
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    • 1994
  • In the power system state estimation, the J(x)-index test and normalized residuals ${\gamma}$S1NT have been the presence of bad measurements and identify their location. But, these methods require the complete re-estimation of system states whenever bad data is identified. This paper presents back-propagation neural network medel using autoregressive filter for identification of bad measurements. The performances of neural network method are compared with those of conventional mehtods and simulation results show the geed performance in the bad data identification based on the neural network under sample power system.

Feedback scope for fault detection and localization

  • Hunsang Jung;Park, Youngjin
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.32.6-32
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    • 2002
  • The damage localization of the structural system using the natural frequency measurement only is proposed. The existing methods use the changes of mode shape, strain mode shape or curvature mode shape before and after the damage occurrence as these shapes carry the geometric information of the structure. Basically, the change of natural frequencies of the structure can be used as the indicator of the damage occurrence but not as the indicator of the damage location as the natural frequency changes does not carry the geometric information of the structure. In this research, the feedback scope method that measures the natural frequency changes of the structure with and without the feedback Ioo...

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A study on the method of obstacle detection on the floor using stereo vision for mobile robot (이동 로보트에 있어서 스테레오 시각에 의한 바닥상의 장애물 감시방법에 관한 연구)

  • 조용철;이천우;조형석
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10a
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    • pp.663-668
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    • 1991
  • In order to navigate, mobile robot needs to avoid obstacles on his way. We describe a stereo vision method for detecting obstacles on the floor ground. With the knowledge of floor geometry, stereo images are transformed so that the relative views of obstacle to the floor are seen. After comparing the transformed images, obstacles information such as location and size are extracted and determined from the local disparities. Some experimental results are shown.

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Damage Detection of Frame Structure Using Wavelet Transform (골조의 손상부위 추정에 웨이블렛 변환의 이용)

  • 박종열;이의택;박진호;박형기
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 2002.09a
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    • pp.173-180
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    • 2002
  • This paper presents a signal processing procedure to detect damage locations of frame structures by using continuous wavelet transform. Morlet wavelet is used as a mother wavelet in wavelet transform. Wavelet transform has the characteristics that allows the use of long time intervals at more precise low-frequency information, and shorter regions at high-frequency information. By this wavelet transform characteristics, Morlet wavelet may be used to identify the locations of damages in the structures. The numerical case studies show that this method can be applied to detect the damage location under a controlled sweeping load.

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Detection Techniques for Greenhouse Area on Paddy Fields Using Landsat TM Images (Landsat TM 영상을 이용한 논지역 내 비닐하우스 면적 추정)

  • Jung In-Kyun;Park Geun-Ae;Jang Cheol-Hee;Kim Seong-Joon
    • KCID journal
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    • v.8 no.2
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    • pp.45-54
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    • 2001
  • A plenty of wastes by greenhouse cultivation affect soil and water pollution much more than those by rice cultivation in paddy field. The greenhouse on paddy field has been increased dramatically, however their physical information such as the location an

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Pulmonary Carcinosarcoma; Two Cases Report (폐의 암육종 치험2례)

  • 이현석
    • Journal of Chest Surgery
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    • v.26 no.7
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    • pp.564-567
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    • 1993
  • Carcinosarcoma of the lung is an admixture of cardinomatous and sarcomatous lesion and accounts for 0.3% of all pulmonary neoplasm. Clinicopathological features are often related to anatomical location : central endobronchial type and peripheral parenchymal type. Noninvasive diagnostic tests had a low yield in detection carcinosarcoma. Metastasis to regional lymph nodes and to distant organ is common. The prognosis is poor and the median survival is less than one year.Two cases of carcinosarcoma patients are reported here - one case is composed of undifferent cell carcinoma and spindle cell sarcoma in the male of 72 year old and the other case squamous cell carcinoma and spindle cell sarcoma in the male of 65 year old.

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Detection of Change-Points by Local Linear Regression Fit;

  • Kim, Jong Tae;Choi, Hyemi;Huh, Jib
    • Communications for Statistical Applications and Methods
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    • v.10 no.1
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    • pp.31-38
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    • 2003
  • A simple method is proposed to detect the number of change points and test the location and size of multiple change points with jump discontinuities in an otherwise smooth regression model. The proposed estimators are based on a local linear regression fit by the comparison of left and right one-side kernel smoother. Our proposed methodology is explained and applied to real data and simulated data.

Image Processing Algorithm for Robotic Plug-Seedling (플러그 묘 이식용 로봇의 영상 처리 알고리즘)

  • 김철수;김만수;김기대
    • Journal of Biosystems Engineering
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    • v.24 no.1
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    • pp.51-58
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    • 1999
  • A color image processing algorithm was developed to assist the robotic plug-seedling transplanter. The algorithm was designed to identify and locate empty cells in the seedling tray. The image of pepper seedling tray was segmented into regions of plant, frame and soil using thresholding technique which utilized HSI or RGB color characteristics of each region. The detection algorithm was able to successfully identify empty cells and locate their two-dimensional location. The overall success rate of the algorithm was about 88%.

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