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IEEE/ICACT20210239 Slide.13        [Big Slide]	Oral Presentation
	Before providing the prediction results with data categorization, we simple explain the AR based prediction. AR predictor with order p can be represented with this equation. Here the weights a1¡Šap are calculated using previous training data to finding the solution with the least squares for linear regression using training data. In this paper, we set order p as 2 and utilize 200 busy or idle data for training to get a1¡Šap. Such weights are fixed for next 400 data prediction.

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