• Title/Summary/Keyword: 궤적 패턴 식별

Search Result 4, Processing Time 0.02 seconds

Aircraft Arrival Time Prediction via Modeling Vectored Area Navigation Arrivals (관제패턴 모델링을 통한 도착예정시간 예측기법 연구)

  • Hong, Sungkwon;Lee, Keumjin
    • Journal of the Korean Society for Aviation and Aeronautics
    • /
    • v.22 no.2
    • /
    • pp.1-8
    • /
    • 2014
  • This paper introduces a new framework of predicting the arrival time of an aircraft by incorporating the probabilistic information of what type of trajectory pattern will be applied by human air traffic controllers. The proposed method is based on identifying the major patterns of vectored trajectories and finding the statistical relationship of those patterns with various traffic complexity factors. The proposed method is applied to the traffic scenarios in real operations to demonstrate its performances.

Analyzing Human's Motion Pattern Using Sensor Fusion in Complex Spatial Environments (복잡행동환경에서의 센서융합기반 행동패턴 분석)

  • Tark, Han-Ho;Jin, Taeseok
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.24 no.6
    • /
    • pp.597-602
    • /
    • 2014
  • We propose hybrid-sensing system for human tracking. This system uses laser scanners and image sensors and is applicable to wide and crowded area such as hallway of university. Concretely, human tracking using laser scanners is at base and image sensors are used for human identification when laser scanners lose persons by occlusion, entering room or going up stairs. We developed the method of human identification for this system. Our method is following: 1. Best-shot images (human images which show human feature clearly) are obtained by the help of human position and direction data obtained by laser scanners. 2. Human identification is conducted by calculating the correlation between the color histograms of best-shot images. It becomes possible to conduct human identification even in crowded scenes by estimating best-shot images. In the experiment in the station, some effectiveness of this method became clear.

Fault Diagnosis of Solar Power Inverter Using Characteristics of Trajectory Image of Current And Tree Model (전류 궤적 영상의 특징과 트리모델을 이용한 태양광 전력 인버터의 고장진단)

  • Hwang, Jae-Ho
    • Journal of the Institute of Electronics Engineers of Korea CI
    • /
    • v.47 no.4
    • /
    • pp.102-108
    • /
    • 2010
  • The photovoltaic system changes solar energy into DC by solar cell and this DC is inverted into AC which is used in general houses by inverter. Recently, the use of power of the photovoltaic system is increased. Therefore, the study of 3 phase solar system to transmit large power is very important. This paper proposes a method that finds simply faults and diagnoses the switch open faults of 3-phase pulse width modulation (PWM) inverter of grid-connected photovoltaic system. The proposed method in $\alpha\beta$ plane uses the patterns of trajectory image as the characteristic parameters and differenciates a normal state and open states of switches. Then, the result is made into tree. The tree is composed of 21 fault patterns and the parameters to classify faults are a shape, a trajectory area, a distributed angle, and a typical vector angle. The result shows that the proposed method diagnosed fault diagnoses, classified correctly them, and made a pattern tree by fault patterns.

Assessment of Laryngeal Function by Pitch Perturbation Analysis and Hilbert Transform of EGG Signal (ECG신호의 피치변동해석 및 Hilbert변환에 의한 후두기능의 평가)

  • 송철규;이명호
    • Journal of Biomedical Engineering Research
    • /
    • v.16 no.1
    • /
    • pp.95-100
    • /
    • 1995
  • In this study, we have evaluated the effect of amplitude and frequency perturbation of EGG signal for single vowels associated with laryngeal pathology. The normal EGG signal was properly characterized by an autoregressive model which has an optimal order of ninth using the parametric method. This can be analyzed by determining the transfer function. Perturbations in the fundamental pitch and in the peak amplitude of EGG signal measured with a four-electrode system using the modulation/demodulation techniques were investigated for the purpose of developing a decision criteria for the laryngeal function analysis. The abnormal EGG signal has nonperiodic and unstable characteristics. It can be discriminated by the calculation of opening and closing time of glottis using the EGG signal. In case of normal and abnormal subjects, m$\pm$0.5*sd was discriminating line for frequency perturbation and m$\pm$2*sd for normal amplitude perturbations, respectively. Also, The normal and abnormal cases of the subjects can be discriminated effectively using the pattern of attractor derived with Hilbert transform of EGG signal.

  • PDF