• Title/Summary/Keyword: 시계열 해석

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Study on the Prediction of Motion Response of Fishing Vessels using Recurrent Neural Networks (순환 신경망 모델을 이용한 소형어선의 운동응답 예측 연구)

  • Janghoon Seo;Dong-Woo Park;Dong Nam
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.5
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    • pp.505-511
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    • 2023
  • In the present study, a deep learning model was established to predict the motion response of small fishing vessels. Hydrodynamic performances were evaluated for two small fishing vessels for the dataset of deep learning model. The deep learning model of the Long Short-Term Memory (LSTM) which is one of the recurrent neural network was utilized. The input data of LSTM model consisted of time series of six(6) degrees of freedom motions and wave height and the output label was selected as the time series data of six(6) degrees of freedom motions. The hyperparameter and input window length studies were performed to optimize LSTM model. The time series motion response according to different wave direction was predicted by establised LSTM. The predicted time series motion response showed good overall agreement with the analysis results. As the length of the time series increased, differences between the predicted values and analysis results were increased, which is due to the reduced influence of long-term data in the training process. The overall error of the predicted data indicated that more than 85% of the data showed an error within 10%. The established LSTM model is expected to be utilized in monitoring and alarm systems for small fishing vessels.

Hangel Handwriting generation using HMMs (HMM을 이용한 한글 필기 생성)

  • Sin, Bong-Kee;Kim, Jin-Hyung
    • Annual Conference on Human and Language Technology
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    • 1995.10a
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    • pp.152-163
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    • 1995
  • 본 논문에서는 은닉 마르코프 모형(HMM)을 이용하여 사람이 쓴 필기의 통계적 특징을 갖는 글씨를 생성하는 방법에 대해서 기술코자 한다. 온라인 필기처럼 같이 필기 궤적을 시계열 신호로 표현하고, 그 특징을 통계적 모형의 하나인 HMM으로 표현한다. HMM은 시계열 신호에 대응하는 모형 내부 경로와 심볼열의 확률 분포를 표현하는 함수이다. 따라서 최적 경로에서 볼 수 있는 최적 출력 심볼열은 훈련 필기 데이타의 평균적 필기 특징에 해당한다. HMM이 주어졌을 때 HMM에서 최적의 패턴을 해석적으로 구하는 방법은 알려져 있지 않다. 본 논문에서는 동적 프로그래밍 기법을 적용하여 HMM이나 HMM 네트워크 모형에서 필기를 생성하는 방법을 제시하고, 아울러 HMM의 문제점을 지적한다.

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Analysis of Nonlinear Behavior in Idea of Physical Exercise with Unification of Mind and Body (심신일여 체육 사상에서의 비선형 거동 해석)

  • Kim, Myung-Mi
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.6
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    • pp.645-652
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    • 2016
  • The basic equation of body and mind that can be represented as body and mind based on love model of Romeo and Juliet is presented in this paper. In order verify validity for physical idea of unification for body and mind when the external force is applied in the basic equation. We display the time series and phase portrait for nonlinear behavior, and this paper confirms the point of difference between body-mind neutral monism and body-mind dualism.

Behavior Analysis of Dynamic Love Model with Time Delay (시간 지연을 갖는 사랑의 동적 모델에서의 거동 해석)

  • Bae, Young-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.2
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    • pp.253-260
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    • 2015
  • Love which is one of the emotional of mankind, has been studied in sociology and psychology as a matter of grate concern. In this paper we represent romantic behaviors in the love equation of Romeo and Juliet as time series and phase portraits in the case of with and without time delay. And we also analyze their difference.

Mathematical Modelling of Love and its Nonlinear Analysis (사랑의 수학적 모델링과 거동 해석)

  • Kim, Soon-Whan;Shon, Young-Woo;Bae, Young-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.11
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    • pp.1297-1304
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    • 2014
  • Love which is one of the emotional of mankind, has been studied in sociology and psychology as a matter of grate concern. In this paper We represent romantic behaviors in the love equation of Romeo and Juliet as time series and phase portraits. Also we analyze the behavior's relation by using time series and phase portraits when external force applied as the third person between Romeo and Juliet.

Monitoring of Tool Life through AR Model and Correlation Dimension Analysis (시계열 모델과 상관차원 해석을 통한 공구수명의 감시)

  • 김정석;이득우;강명창;최성필
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.11
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    • pp.189-198
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    • 1998
  • Recently, monitoring of tool life is a matter of common interesting because tool life affects precision, productivity and cost in machining process. Especially flank wear has a direct effect on cutting mechanism, so the various pattern of cutting force is obtained experimentally according to variation of wear condition. By investigating cutting force signal, AR(Autoregressive) modeling and correlation dimension analysis is conducted in turning operation. In this modeling and analysis, we extract features through 6th AR model, correlation integral and normalized correlation integral. After the back-propagation model of the neural network is utilized to monitor tool life according to flank wear. As a result. a very reliable classification of tool life was obtained.

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Time Series Analysis of Groundwater Level Change in the Chuncheon Area Groundwater Observation Network (시계열 분석을 이용한 춘천 지역 지하수관측망 수위변동 해석)

  • Mok, Jong-Koo;Jang, Bum-Ju;Park, Yu-Chul;Shin, Hye-Soo;Kim, Jin-Ho;Song, Se-Jeong;Hawng, Ga-Young
    • The Journal of Engineering Geology
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    • v.32 no.2
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    • pp.281-293
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    • 2022
  • Time series analysis was performed on data from 2009 to 2018 from the Chuncheon groundwater observation network to understand the characteristics of groundwater level fluctuations in the network. There are five observatories, all of which are installed in rock aquifers, and periodic inspections and management are performed by the relevant operating organization. Auto-correlation, spectral density, and cross-correlation analysis was performed.

Evaluation of Combustion Mechanism of Droplet Cluster in Premixed Spray Flame by Simultaneous Time-Series Measurement (동시 시계열 계측에 의한 예혼합 분무화염 내 유적군 연소기구의 평가)

  • Hwang, Seung-Min
    • Journal of Korean Society of Environmental Engineers
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    • v.31 no.6
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    • pp.442-448
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    • 2009
  • To evaluate the combustion mechanism of each droplet cluster downstream of the premixed spray flame, the simultaneous time-series measurements were conducted by using optical measurement system consisting of laser tomography, multi-color integrated Cassegrain receiving optics (MICRO) and phase Doppler anemometer (PDA). Furthermore, the group combustion number of droplet cluster was estimated experimentally, and the combustion mechanism of droplet cluster was examined applying the theoretical analysis. The group combustion number, $G_c$, was experimentally estimated about all droplet cluster verified by planar images, and it was classified into the internal group combustion mode and the external group combustion mode according to the theoretical analysis. It is found that there are cases in which the group combustion number estimated experimentally for droplet cluster agree or disagree with the classification by theoretical analysis. The reason of disagreement is considered due to that the group combustion number was only estimated by the geometrical arrangement of droplets in cluster, and that the actual phenomenon is three-dimensional but the measurement system is two-dimensional.

A Study on the Selection Algorithm of AR model order for Spectral Analysis of Heart Rate Variability (심박변동의 스펙트럼해석을 위한 자기회귀 모델차수 선택 알고리즘에 관한 연구)

  • Kim, Nag-Hwan;Shin, Jae-Ho;Han, Young-Hwan;Lee, Eung-Huk;Min, Hong-Ki;Hong, Sung-Hong
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.38 no.6
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    • pp.56-64
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    • 2001
  • In this paper, we proposed the simple and selective method for the order of model that reflected the feature of the heart rate variability without the complicated calculation in the power spectral analysis of heart rate variability using autoregressive model. The power spectral analysis of short-term of heart rate variability using autoregressive have been problem to resolution of spectral estimates by the selective model order. As a result that the proposed method for the order comparative tested with the AIC and the fixed order method, the calculation process could become very simple and select the order which correspond with the feature of the time series. We verified it could removed the noisy power components by the fixed order.

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Evaluation of Agricultural Drought Prevention Ability Based on EOF Analysis and Multi-variate Time Series Model (EOF 해석 및 다변량시계열 모형을 이용한 농업가뭄 대비능력의 평가)

  • Yoo Chul-Sang;Kim Dae-Ha;Kim Sang-Dan
    • Journal of Korea Water Resources Association
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    • v.39 no.7 s.168
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    • pp.617-626
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    • 2006
  • In this study 3-month SPI data from 59 stations over the Korean peninsula are analyzed by deriving and spatially characterizing the EOFs. Also, the coefficient time series of EOF are applied to the multi-variate time series model to generate the time series of 10,000 years, to average them to estimate the areal average, and to decide the maximum drought severity for given return periods. Finally, the drought prevention ability is evaluated by considering the effective storage of dam within the basin and the size of agricultural area. Especially for the return period of 30 years, only the Han river basin has the potential to overcome the drought. Other river basins like the Youngsan river basin, which has a large portion of agricultural area but less water storage, are found to be very vulnerable to the rainfall-sensitive agricultural drought.