Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple Conditions

Togo, Ren; Saito, Naoki; Maeda, Keisuke; Ogawa, Takahiro; Haseyama, Miki

Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple Conditions

Togo, Ren; Saito, Naoki; Maeda, Keisuke et al.

Sensors, 2021, 21(6), 2088

Permalink : https://hdl.handle.net/2115/81972

このアイテムのアクセス数:623件（2026-06-17 00:03 集計）

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https://doi.org/10.3390/s21062088			9

論文情報

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アクセス権	open access
URI	https://hdl.handle.net/2115/81972
タイトル	Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple Conditions
著者	Togo, Ren ; Saito, Naoki ; Maeda, Keisuke ; Ogawa, Takahiro ; Haseyama, Miki
著者名 Togo, Ren
著者名 Saito, Naoki
著者名 Maeda, Keisuke
e-Rad_Researcher 20524028 著者名 Ogawa, Takahiro
e-Rad_Researcher 00218463 著者名 Haseyama, Miki
言語	英語
キーワード	rubber materials
	property prediction
	electron microscope images
	Dempster–Shafer evidence theory
	Shafer evidence theory
発行日	2021-03-16
出版者	MDPI
収録物名	Sensors
巻(号)	21(6)
ページ	2088
抄録	A method for prediction of properties of rubber materials utilizing electron microscope images of internal structures taken under multiple conditions is presented in this paper. Electron microscope images of rubber materials are taken under several conditions, and effective conditions for the prediction of properties are different for each rubber material. Novel approaches for the selection and integration of reliable prediction results are used in the proposed method. The proposed method enables selection of reliable results based on prediction intervals that can be derived by the predictors that are each constructed from electron microscope images taken under each condition. By monitoring the relationship between prediction results and prediction intervals derived from the corresponding predictors, it can be determined whether the target prediction results are reliable. Furthermore, the proposed method integrates the selected reliable results based on Dempster-Shafer (DS) evidence theory, and this integration result is regarded as a final prediction result. The DS evidence theory enables integration of multiple prediction results, even if the results are obtained from different imaging conditions. This means that integration can even be realized if electron microscope images of each material are taken under different conditions and even if these conditions are different for target materials. This nonconventional approach is suitable for our application, i.e., property prediction. Experiments on rubber material data showed that the evaluation index mean absolute percent error (MAPE) was under 10% by the proposed method. The performance of the proposed method outperformed conventional comparative property estimation methods. Consequently, the proposed method can realize accurate prediction of the properties with consideration of the characteristic of electron microscope images described above.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
EISSN	1424-8220
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.3390/s21062088