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439 results on '"Kim, Hyoung Jin"'

4. Paper fingerprint by forming fabric: analysis of periodic marks with 2D lab formation sensor and machine learning for forensic paper-identification.

Author

Jeong, Chang Woo, Lee, Yong Ju, Chang Shin, Yun, Choi, Mi Jung, and Kim, Hyoung Jin

Abstract

Weave and drainage marks on paper surfaces derived from forming fabrics installed in paper machines were examined. Non-destructive differentiation of copy papers from various manufacturers was performed by a 2D Lab Formation Sensor. Individual characteristics such as angles and wavelengths formed by the fabric were selected as parameters for the analysis. These parameters were sampled from a total of 500 papers: 50 sheets of paper from each of the 10 groups by copy paper manufacturers. Using machine learning algorithms such as partial least squares discriminant analysis (PLS-DA), k-nearest neighbors (k-NN), and naive bayes (NB) models to analyze these parameters allows for the identification of copy paper groups by manufacturers. The NB classifier demonstrated superior performance, achieving an accuracy of 0.973 even with a 50 % reduction in input variables. This study shows that periodic marks on paper surfaces can act as important indicators of the forming fabric and the distinct features of a paper-making machine. In general, this paper proposes that the 2D Lab Formation Sensor along with machine learning models can be utilized for non-destructive copy paper categorization. This identification method could be broadened to determine information regarding suspicious documents for forensic identification purposes. [ABSTRACT FROM AUTHOR]

Published
2024
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20. Chemical properties, crystallinity, and fiber biometry of Jabon (Anthocephalus cadamba) wood for pulp raw material: the effect of age and position.

Author

Darwis, Atmawi, Karliati, Tati, Sutrisno, Alamsyah, Eka Mulya, Rumidatul, Alfi, Melani, Lili, Kim, Hyoung Jin, Iswanto, Apri Heri, and Fatriasari, Widya

Subjects
WOOD-pulp, DETERIORATION of materials, RAW materials, CHEMICAL properties, CELLULOSE fibers, BIOMETRY
Abstract

Jabon (Anthocephalus cadamba) is a promising plant species with straight, visually pleasing trunks that can be harvested at a young age as a resource for pulp and paper production due to the rapid growth rate possessed. Therefore, this study aims to investigate the chemical composition and fiber biometry of 3, 6, and 9-year-old Jabon wood, determining their suitability as a pulp and paper raw material. Samples were collected from both stem and branch sections and analyzed according to the Tappi standard. Fiber cell maceration was conducted to enable the precise measurement of fiber dimensions and derivatives. The results showed high cellulose, holocellulose, and lignin content in Jabon wood, with low to moderate levels of extractives and ash. Additionally, the crystallinity index (CrI) increased with age, particularly from 3 to 9 years old. The branch of the plant, with Grade II fiber derivative quality, had lower CrI compared to the stem, while the inner stem showed a lesser value than the outer part. In conclusion, 3-year-old Jabon wood is a potential raw material for pulp and paper production. [ABSTRACT FROM AUTHOR]

Published
2024
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