• Title/Summary/Keyword: 정밀도 예측

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Half-Pixel Accuracy Motion Estimation Algorithm in the Transform Domain for H.264 (H.264를 위한 주파수 영역에서의 반화소 정밀도 움직임 예측 알고리듬)

  • Kang, Min-Jung;Heo, Jae-Seong;Ryu, Chul
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.11C
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    • pp.917-924
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    • 2008
  • Motion estimation and compensation in the spatial domain check the searching area of specified size in the previous frame and search block to minimize the difference with current block. When we check the searching area, it consumes the most encoding times due to increasing the complexity. We can solve this fault by means of motion estimation using shifting matrix in the transform domain instead of the spatial domain. We derive so the existed shifting matrix to a new recursion equation that we decrease more computations. We modify simply vertical shifting matrix and horizontal shifting matrix in the transform domain for motion estimation of half-pixel accuracy. So, we solve increasing computation due to bilinear interpolation in the spatial domain. Simulation results prove that motion estimation by the proposed algorithm in DCT-based transform domain provides higher PSNR using fewer bits than results in the spatial domain.

Analysis of detected anomalies in VOC reduction facilities using deep learning

  • Min-Ji Son;Myung Ho Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.4
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    • pp.13-20
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    • 2023
  • In this paper, the actual data of VOC reduction facilities was analyzed through a model that detects and predicts data anomalies. Using the USAD model, which shows stable performance in the field of anomaly detection, anomalies in real-time data are detected and sensors that cause anomalies are searched. In addition, we propose a method of predicting and warning, when abnormalities that time will occur by predicting future outliers with an auto-regressive model. The experiment was conducted with the actual data of the VOC reduction facility, and the anomaly detection test results showed high detection rates with precision, recall, and F1-score of 98.54%, 89.08%, and 93.57%, respectively. As a result, averaging of the precision, recall, and F1-score for 8 sensors of detection rates were 99.64%, 99.37%, and 99.63%. In addition, the Hamming loss obtained to confirm the validity of the detection experiment for each sensor was 0.0058, showing stable performance. And the abnormal prediction test result showed stable performance with an average absolute error of 0.0902.

Evaluation on Casting Material Characteristics of Aluminum Alloy and Mild Steel for Tire Mold Manufacturing by Casting Method

  • Yoon, Hee-Sung;Oh, Yool-Kwon
    • Journal of Korea Foundry Society
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    • v.28 no.5
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    • pp.217-220
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    • 2008
  • 본 연구에서는 유한요소법을 적용한 수치해석을 이용하여 타이어 제조용 금형을 생산하기 위해 사용되는 주조재의 열적 특성에 관하여 조사해 보았다. 고 품질의 정밀도가 좋은 타이어를 제조하기 위해, 일반적으로 타이어 제조용 금형의 주조재로 많이 사용되고 있는 알루미늄 합금과 비교 대상으로 연강을 선정하여 각각의 주조재에 대한 응고과정에서의 온도분포와 응력분포 결과를 수치적으로 계산해 보고 결과를 예측해 보았다. 수치해석을 통한 결과에서, 알루미늄 합금을 사용한 금형의 냉각과정 동안의 온도분포는 연강에 비해 보다 더 안정적으로 나타나는 것을 확인하였으며, 응력분포 결과 또한 알루미늄 합금 금형이 연강에 비해 정밀도를 향상시키고 좋은 품질의 제품을 얻는 데 보다 나은 것으로 나타났다. 그리고 금형의 온도분포와 응력분포는 금형의 냉각과정 동안 주조재의 초기 냉각온도에 의해 크게 영향을 받는 것으로 사료된다. 마지막으로, 이러한 수치해석에 의한 금형의 열적 특성 예측은 향후 고품질, 고정밀도의 금형 생산을 위한 예비성능평가 방법과 경제적 측면에서 매우 유용하게 활용할 수 있을 것으로 보인다.

Preprocessing of Transmitted Spectrum Data for Development of a Robust Non-destructive Sugar Prediction Model of Intact Fruits (과실의 비파괴 당도 예측 모델의 성능향상을 위한 투과스펙트럼의 전처리)

  • Noh, Sang-Ha;Ryu, Dong-Soo
    • Journal of the Korean Society for Nondestructive Testing
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    • v.22 no.4
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    • pp.361-368
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    • 2002
  • The aim of this study was to investigate the effect of preprocessing the transmitted energy spectrum data on development of a robust model to predict the sugar content in intact apples. The spectrum data were measured from 120 Fuji apple samples conveying at the speed of 2 apples per second. Computer algorithms of preprocessing methods such as MSC, SNV, first derivative, OSC and their combinations were developed and applied to the raw spectrum data set. The results indicated that correlation coefficients between the transmitted energy values at each wavelength and sugar contents of apples were significantly improved by the preprocessing of MSC and SNV in particular as compared with those of no-preprocessing. SEPs of the prediction models showed great difference depending on the preprocessing method of the raw spectrum data, the largest of 1.265%brix and the smallest of 0.507% brix. Such a result means that an appropriate preprocessing method corresponding to the characteristics of the spectrum data set should be found or developed for minimizing the prediction errors. It was observed that MSC and SNV are closely related to prediction accuracy, OSC is to number of PLS factors and the first derivative resulted in decrease of the prediction accuracy. A robust calibration model could be d3eveloped by the combined preprocessing of MSC and OSC, which showed that SEP=0.507%brix, bias=0.0327 and R2=0.8823.

대공간 건축물의 온도 및 기류분포 예측 기술

  • 손장열;안병욱;박종수
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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    • v.30 no.4
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    • pp.12-19
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    • 2001
  • 대공간의 건축물의 합리적인 설계를 위해서는 온도 및 기류분포의 정확한 예측이 필요하다. 예측 방법으로 정밀해석 모델(CFD)만을 최선의 방법으로 생각하는 경우가 대부분 이지만, 비용과 시간을 줄이기 위해서는 설계 단계별로 보다 적합한 예측 방법을 적용 할 필요가 있다. 이것은 다양한 예측 모델들의 장·단점 및 실용성에 대한 충분한 이해가 전제될 때 가능할 것이다. 본고에서는 열환경·설비 설계시, 설계 단계에 따른 적합한 예측 모델들을 소개한다. 더불어, 적절하고 타당한 예측 기술이 설계에 반영되어 대공간 건축물의 실내 열환경 개선 및 에너지 절약이 이루어지기를 기대한다.

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Uni-directional 4X4 Intra Prediction Mode for H.264/AVC Coding Efficiency (H.264/AVC에서 성능 향상을 위한 단방향의 4X4 인트라 예측 모드)

  • Jung, Kwang-Su;Park, Sea-Nae;Sim, Dong-Gyu;Lee, Yoon-Jin;Park, Gwang-Hoon;Oh, Seoung-Jun;Jeong, Sey-Yoon;Choi, Jin-Soo
    • Journal of Broadcast Engineering
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    • v.15 no.6
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    • pp.815-829
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    • 2010
  • In this paper, we propose a new $4{\times}4$ intra coding method by unidirectional prediction for improvement of intra-frame coding efficiency of H.264/AVC. There are $4{\times}4$, $8{\times}8$, and $16{\times}16$ intra prediction modes in the current H.264/AVC. For the $4{\times}4$ intra prediction, coding efficiency is achieved by accurate prediction with small block size in relatively complicated regions, and the $16{\times}16$ intra prediction method can predict more accurately compared to $4{\times}4$ intra prediction with only one directional information in relatively homogeneous regions. We propose a unidirectional $4{\times}4$ intra prediction method adopting a small-size prediction and one directional prediction approaches. In order to improve coding efficiency, the proposed method is conducted by $4{\times}4$ block and their prediction directions are all the same, resulting that we need to send only one directional information for each macroblock. For intra-frame coding setting, we achieve 10.47% and 1.57% coding efficiency in BD-bitrate for only $16{\times}16$ intra mode and $4{\times}4$, $16{\times}16$ intra mode, respectively.