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Predictive Modeling of Traditional Korean Paper Characteristics Using Machine Learning Approaches (Part 1): Discriminating Manufacturing Origins with Artificial Neural Networks and Infrared Spectroscopy

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Palpu Chongi Gisul/Journal of Korea Technical Association of the Pulp and Paper Industry 2023年第4期55卷 57-69页

作者： Hwang, Sung-Wook Park, Geunyong Kim, Jinho Jeong, Myung-Joon Human Resources Development Center for Big Data-based Glocal Forest Science Kyungpook National University Korea Republic of Department of Wood Science and Technology Kyungpook National University Korea Republic of Department of Wood Science & Technology College of Agricultural Life Science Jeonbuk National University Korea Republic of

This study focuses on machine learning-based approaches in combination with infrared spectroscopy to discriminate the manufacturing origin of Hanji, a traditional Korean paper. Infrared spectra provide useful information about the chemical composition and structural features of Hanji, while principal component analysis and hierarchical clustering extract meaningful patterns related to the manufacturing region. Score plots and hierarchical clustering of the principal components provide enhanced clustering patterns based on manufacturing region by focusing on the spectral region 1800-1200 cm -1 . The clustering patterns are driven by key absorption bands, such as those associated with carboxyl groups, crystalline cellulose, and aromatic rings. In addition, feed-forward neural network classification models that were developed using the spectral data exhibit significant accuracy when classifying the Hanji manufacturing regions. In particular, models utilizing the raw and second derivative spectra in the 1800-1200 cm-1 region exhibit excellent classification performance, indicating the effectiveness of this spectral region for classification purposes. This study demonstrates the effective application of artificial neural networks in conjunction with infrared spectroscopy to characterize and classify Hanji based on its manufacturing region. The results contribute to a better understanding of the unique properties of Hanji and the discovery of new insights from paper cultural artifacts. © 2023 Korean Technical Assoc. of the Pulp and Paper Industry. All rights reserved.

关键词： Infrared spectroscopy

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Timber-concrete composite slab using notched connections and nails in plywood units: Experimental investigation and γ-method validation

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Construction and Building Materials 2025年 487卷

作者： Ahn, Kyung-Sun Oh, Jaewon Kim, Jiyong Kim, Min-Jeong Lee, Gwang-Ryul Pang, Sung-Jun Kim, Chul-Ki Hwang, Sung-Wook Bang, Junsik Yeo, Hwanmyeong Kwak, Hyo Won Oh, Jung-Kwon Dept. of Agriculture Forestry and Bioresources Seoul National University Gwanak-gu Seoul Korea Republic of Dept. of Wood Science University of British Columbia Vancouver Canada Dept. of Wood Science and Engineering Chonnam National University Buk-gu Gwangju Korea Republic of Wood Engineering Division National Institute of Forest Science Dongdaemun-gu Seoul Korea Republic of Human Resource Development Center for Big Data-based Glocal Forest Science 4.0 Kyungpook National University Buk-gu Daegu Korea Republic of Research Institute of Agriculture and Life Sciences Seoul National University Gwanak-gu Seoul Korea Republic of

This study investigated a novel timber-concrete composite (TCC) slab system utilizing notched connections and nails in plywood units. The TCC slab system uses multiple plywood units with grooves, which are connected to timber laminae using common nails. It was developed to address the limitations of existing TCC slabs, where the use of existing mass timber products and conventional notched connections reduces their manufacturing efficiency. The TCC slab design has a hollow-core configuration which can accommodate electrical and telecommunication wiring systems to enhance the aesthetics of the timber ceiling design. The research aims to validate the γ-method for the structural design of the TCC system. The γ-method estimation and experimental investigation of bending performance were conducted in three different configurations to increase the reliability of validation. Compared to the results of four-point bending tests, the analytical results showed good agreement while predicting accurate failure modes, with differences of up to 4.73 %, 7.53 %, and 5.22 % for the effective bending stiffness, load-bearing capacity, and composite efficiency, respectively. The minor differences and accurate prediction of failure modes validated the applicability of the γ-method for predicting the structural performance of the novel TCC system. © 2025 The Authors

关键词： Concrete slabs

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