Výsledky vyhledávání - "Sang-Yun Yang"

Akademický článek

Early Intranasal Vasopressin Administration Impairs Partner Preference in Adult Male Prairie Voles (Microtus ochrogaster)

Autor: Trenton C. Simmons, Jessica F. Balland, Janeet Dhauna, Sang Yun Yang, Jason L. Traina, Jessica Vazquez, Karen L. Bales

Publikováno v: Frontiers in Endocrinology, Vol 8 (2017)

Research supports a modulatory role for arginine vasopressin (AVP) in the expression of socially motivated behaviors in mammals. The acute effects of AVP administration are demonstrably pro-social across species, providing the justification for an ev

Externí odkaz: https://doaj.org/article/127ce809f38a4cc88adce8bddd6b1f03

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Application of neural networks for classifying softwood species using near infrared spectroscopy

Autor: In-Gyu Choi, Ohkyung Kwon, Hwanmyeong Yeo, Hyunbin Kim, Hyunwoo Chung, Sang-Yun Yang, Se-Yeong Park, Yonggun Park

Publikováno v: Journal of Near Infrared Spectroscopy. 28:298-307

Lumber species identification is an important issue for the wood industry. In this study, three types of neural networks (artificial neural network (ANN), deep neural network (DNN), and convolutional neural network (CNN)) were employed for classifyin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5e22168d785e4390e38c3a2e438df92d
https://doi.org/10.1177/0967033520939320

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Wood Species Classification Utilizing Ensembles of Convolutional Neural Networks Established by Near-Infrared Spectra and Images Acquired from Korean Softwood Lumber

Autor: Sang-Yun Yang, Hyung Gu Lee, Yonggun Park, Hyunwoo Chung, Hyunbin Kim, Se-Yeong Park, In-Gyu Choi, Ohkyung Kwon, Hwanmyeong Yeo

Publikováno v: Journal of the Korean Wood Science and Technology. 47:385-392

In our previous study, we investigated the use of ensemble models based on LeNet and MiniVGGNet to classify the images of transverse and longitudinal surfaces of five Korean softwoods (cedar, cypress, Korean pine, Korean red pine, and larch). It had

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8477d60d3bab1f322a70dd2923a358e3
https://doi.org/10.5658/wood.2019.47.4.385

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Effect of Organic Solvent Extractives on Korean Softwoods Classification Using Near-infrared Spectroscopy

Autor: Jong-Chan Kim, Park Se-Yeong, Hwanmyeong Yeo, Choi， In-Gyu, Jong-Hwa Kim, Yeon Seung Heon, Ohkyung Kwon, Sang-Yun Yang

Publikováno v: Journal of the Korean Wood Science and Technology. 47:509-518

This study analyzed the effect of organic solvent extractives on the classification of wood species via near-infrared spectroscopy (NIR). In our previous research, five species of Korean softwood were classified into three groups (i.e., Cryptomeria j

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::48278a35a43d4f7efe2d590d2bf2325b
https://doi.org/10.5658/wood.2019.47.4.509

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Performance Enhancement of Automatic Wood Classification of Korean Softwood by Ensembles of Convolutional Neural Networks

Autor: Ohkyung Kwon, Hyung Gu Lee, Sang-Yun Yang, Hyunbin Kim, Se-Yeong Park, In-Gyu Choi, Hwanmyeong Yeo

Publikováno v: Journal of the Korean Wood Science and Technology. 47:265-276

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d60e74b774f6f8e2d6e43d20363fd77f
https://doi.org/10.5658/wood.2019.47.3.265

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Dimensional changes of cross-laminated specimens produced under different conditions due to humidity variation

Autor: Yeonjung Han, Yonggun Park, Sang-Yun Yang, Hyunwoo Chung, Yoon-Seong Chang, Hwanmyeong Yeo

Publikováno v: BioResources. 14:4035-4046

Cross-laminated timber (CLT) is becoming increasingly adopted into wooden construction of South Korea. Due to the lack of standards and protocol for CLT, there are many problems in the production and utilization phases. This study focused on the defo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8d7bf1adf5763a5505f71d9cbfa99848
https://doi.org/10.15376/biores.14.2.4035-4046

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Soft Independent Modeling of Class Analogy for Classifying Lumber Species Using Their Near-infrared Spectra

Autor: Yonggun Park, Hyunbin Kim, Ohkyung Kwon, Se-Yeong Park, In-Gyu Choi, Hwanmyeong Yeo, Sang-Yun Yang, Hyunwoo Chung

Publikováno v: Journal of the Korean Wood Science and Technology. 47:101-109

This paper examines the classification of five coniferous species, including larch (Larix kaempferi), red pine (Pinus densiflora), Korean pine (Pinus koraiensis), cedar (Cryptomeria japonica), and cypress (Chamaecyparis obtusa), using near-infrared (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cfd406994d69f5233616442aa9f9524b
https://doi.org/10.5658/wood.2019.47.1.101

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