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Enhancing compatibility and biodegradability of polylactic acid/biomass composites through torrefaction of forest residue

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Journal of bioresources and bioproducts 2025年第1期10卷 51-61页

作者： June-Ho Choi Myeong Rok Ahn Chae-Hwi Yoon Yeon-Su Lim Jong Ryeol Kim Hyolin Seong Chan-Duck Jung Sang-Mook You Jonghwa Kim Younghoon Kim Hyun Gil Cha Jae-Won Lee Hoyong Kim Center for Bio-based Chemistry Korea Research Institute of Chemical Technology(KRICT)Ulsan 44429South Korea Department of Wood Science and Engineering College of Agriculture and Life SciencesChonnam National UniversityGwangju 61186South Korea Interdisciplinary Program in IT-Bio Convergence System Chonnam National UniversityGwangju 61186South Korea

This study investigated the effects of torrefaction on forest residue(FR)and its subsequent ap-plication as a bulk-loading filler in polylactic acid(PLA)*** enhanced the chemical properties of FR,improving its compatibility with PLA,and the crystallinity increased from 24.9%to 42.5%.The process also improved the hydrophobicity of PLA/biomass composites,as demonstrated by the water contact angle of 76.1°,closely matching that of neat PLA(76.4°).With the introduction of 20%modified biomass properties after torrefaction treatment,the tensile strength of PLA/biomass composite increased from 58.7 to 62.3 ***,the addition of torrefied forest residue(TFR)accelerated biodegradation by increasing the onset of degrada-tion and inhibiting *** 90 d,the biodegradability of PLA/biomass composites reached 94.9%,which had a 6.9%increase compared to the neat PLA(88.8%).Overall,this study highlights the potential of torrefaction in enhancing both the physical properties and biodegrad-ability of PLA-based composites,contributing to a more sustainable approach to reducing plastic pollution.

关键词： Forest residue Torrefaction Bulk-loading filler Polylactic acid composite Hydrophobicity Tensile strength biodegradability

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RSSI-Based Autonomous Tracking system for Radio-Tagged Flying Insects Using UAV With Rotational Antenna

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IEEE Access 2025年 13卷 72040-72053页

作者： Pak, Jeonghyeon Kim, Bosung Son, Hyoung Il Chonnam National University Department of Convergence Biosystems Engineering Gwangju61186 Korea Republic of Chonnam National University Interdisciplinary Program in IT-Bio Convergence System Gwangju61186 Korea Republic of Chonnam National University Research Center for Biological Cybernetics Gwangju61186 Korea Republic of

The escalating effects of climate change have heightened the urgency of ecosystem conservation efforts worldwide. In this context, pollinators such as honeybees play a critical role in maintaining ecosystem health. However, they face appreciable threats, including the proliferation of invasive alien species (IAS) and colony collapse disorder. In this study, we propose a novel tracking system that uses unmanned aerial vehicles (UAVs) equipped with rotational directional antennas and radio telemetry systems. This approach, which represents an improvement over our previous works, aims to protect biodiversity and ecosystem resilience by mitigating the adverse impacts of IAS on pollinator populations. To implement the proposed tracking strategy, a motor-based directional antenna that can rotate 360° is attached to a UAV, and the received signal strength indicator (RSSI) value is used to localize the hornets to which sensors are attached. The proposed tracking system was verified in a simulated field environment that was constructed by considering the RSSI values obtained in a forest. In addition, the robustness and field applicability of the tracking system were improved by applying it to scenarios consisting of different paths that were constructed considering the dynamic nature of hornets. © 2013 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Human Scene Understanding Mechanism Based Image Captioning for Blind Assistance

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IEEE Access 2025年 13卷 81933-81947页

作者： Kim, Jong-Hoon Park, Sung-Wook Huh, Jun-Ho Jung, Se-Hoon Korea Republic of Sunchon National University Ph.D Course of Interdisciplinary Program IT-Bio Convergence System Korea Republic of Korea Maritime and Ocean University Korea Republic of National Korea Maritime and Ocean University Korea Republic of Sunchon National University Korea Republic of

This study, a model is proposed that generates descriptive sentences for input images visually impaired individuals. For this purpose, a novel image captioning approach is introduced, integrating the principles of human visual Understanding mechanisms with the Vision Transformer (ViT) architecture, further enhanced by deep reinforcement learning. First, features are extracted from the image based on human visual perception. Second, the image features are encoded through the encoding block of ViT and input into the long short-term memory (LSTM) network to generate annotations for the image. Finally, reinforcement learning is optimized to further enhance the accuracy of the generated captions. Evaluations were performed utilizing the MSR-VTT benchmark dataset, which is widely used for image captioning tasks. Experimental results on the MSR-VTT benchmark dataset demonstrate that the proposed model achieves BLEU-4 of 43.0, METEOR of 29.1, ROUGE-L of 62.7, and CIDEr-D of 54.9, surpassing state-of-the-art baseline models across all evaluation metrics. The proposed model can be applied to video annotation applications for the visually impaired. In contrast to prior works that primarily rely on conventional convolutional architectures, the proposed model uniquely incorporates human-inspired visual perception principles and Vision Transformer-based global encoding, offering a novel and interpretable framework tailored for assistive image captioning. © 2013 IEEE.

关键词： Deep reinforcement learning

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Correction to: NeXtSRGAN: enhancing super-resolution GAN with ConvNeXt discriminator for superior realism (The Visual Computer, (2025), 10.1007/s00371-024-03797-2)

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Visual Computer 2025年 1-1页

作者： Park, Sung-Wook Jung, Se-Hoon Sim, Chun-Bo Interdisciplinary Program in IT-Bio Convergence System Sunchon National University Suncheon57922 Korea Republic of Department of Computer Engineering Sunchon National University Suncheon57922 Korea Republic of

The publication of this article unfortunately contained mistakes. The assignment of the affiliations was not correct. The corrected affiliation is given below. Wrong assignment: Chun-Bo Sim 1,2 1 interdisciplinary program in it-bio convergence system, Sunchon National University, Suncheon 57922, Republic of Korea 2 Department of Computer Engineering, Sunchon National University, Suncheon 57922, Republic of Korea Correct assignment: Chun-Bo Sim 1 1 interdisciplinary program in it-bio convergence system, Sunchon National University, Suncheon 57922, Republic of Korea The original article has been corrected. © The Author(s) 2025.

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User Recognition system Based on Spectrogram Image Conversion Using EMG Signals

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Computers, Materials & Continua 2022年第7期72卷 1213-1227页

作者： Jae Myung Kim Gyu Ho Choi Min-Gu Kim Sung Bum Pan Interdisciplinary Program in IT-Bio Convergence System Chosun UniversityGwangju61452Korea IT Research Institute Chosun UniversityGwangju61452Korea

Recently,user recognitionmethods to authenticate personal identity has attracted significant attention especially with increased availability of various internet of things(IoT)services through fifth-generation technology(5G)based mobile *** EMG signals generated inside the body with unique individual characteristics are being studied as a part of nextgeneration user recognition ***,there is a limitation when applying EMG signals to user recognition systems as the same operation needs to be repeated while maintaining a constant strength of muscle over ***,it is necessary to conduct research on multidimensional feature transformation that includes changes in frequency features over *** this paper,we propose a user recognition system that applies EMG signals to the short-time fourier transform(STFT),and converts the signals into EMG spectrogram images while adjusting the time-frequency resolution to extract multidimensional *** proposed system is composed of a data pre-processing and normalization process,spectrogram image conversion process,and final classification *** experimental results revealed that the proposed EMG spectrogram image-based user recognition system has a 95.4%accuracy performance,which is 13%higher than the EMGsignal-based *** a user recognition accuracy improvement was achieved by using multidimensional features,in the time-frequency domain.

关键词： EMG user recognition spectrogram CNN

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Multi-Stream CNN-Based Personal Recognition Method Using Surface Electromyogram for 5G Security

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Computers, Materials & Continua 2022年第8期72卷 2997-3007页

作者： Jin Su Kim Min-Gu Kim Jae Myung Kim Sung Bum Pan IT Research Institute Chosun UniversityGwangju61452Korea Interdisciplinary Program in IT-Bio Convergence System Chosun UniversityGwangju61452Korea

As fifth generation technology standard(5G)technology develops,the possibility of being exposed to the risk of cyber-attacks that exploits vulnerabilities in the 5G environment is *** existing personal recognitionmethod used for granting permission is a password-basedmethod,which causes security ***,personal recognition studies using bio-signals are being conducted as a method to access control to *** bio-signal,surface electromyogram(sEMG)can solve the existing personal recognition problem that was unable to the modification of registered information owing to the characteristic changes in its signal according to the performed ***,as an advantage,sEMG can be conveniently measured from arms and *** paper proposes a personal recognition method using sEMG,based on a multi-stream convolutional neural network(CNN).The proposed method decomposes sEMG signals into intrinsic mode functions(IMF)using empirical mode decomposition(EMD)and transforms each IMF into a *** recognition is performed by analyzing time–frequency features from the spectrogram transformed *** database(DB)adopted in this paper is the Ninapro DB,which is a benchmark EMG *** experimental results indicate that the personal recognition performance of the multi-stream CNN using the IMF spectrogram improved by 1.91%,compared with the singlestream CNN using the spectrogram of raw sEMG.

关键词： Personal recognition electromyogram signal multi-stream network empirical mode decomposition

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Microbe-mediated nutrient cycling and crop growth under long-term silicate fertilizer addition to paddy soils

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Agriculture, Ecosystems and Environment 2025年 389卷

作者： Lee, Chang Hoon Das, Suvendu Park, Mun Hyeong Kim, Sang Yoon Turner, Benjamin L. Kim, Pil Joo Department of Horticulture Korea National University of Agriculture and Fisheries Jeonju 54874 South Korea Institute of Agriculture and Life Sciences Gyeongsang National University Jinju 52828 South Korea Department of Agricultural Chemistry & Interdisciplinary Program in IT-Bio Convergence System Sunchon National University Suncheon 57922 South Korea Division of Applied Life Science Gyeongsang National University Jinju 52828 South Korea

Silicate fertilizer promotes the growth and yield of rice, but its effects on soil microorganisms and their capacity to recycle nutrients and produce phytohormones, antioxidants and antimicrobial compounds remain largely unknown. We used Illumina sequencing and GeoChip to quantify the effects of long-term (30 year) silicate fertilizer application on microbial functional gene profiles for nutrient cycling (C, N and P) and production of phytohormones (ethylene, auxin, gibberellins and polyamines), antioxidants (catalase, peroxidase and superoxide dismutase) and antimicrobial compounds (hydrogen cyanide synthase and siderophores) in paddy soils. Long-term silicate fertilizer amendment increased the relative abundance of genes involved in (i) C fixation (RuBisCo and CODH) and the degradation of labile C (starch, hemicelluloses, and cellulose), but not recalcitrant C (pectin, chitin, and lignin), (ii) ammonification (ureC), N₂O reductase (nosZ) and anammox (hzo), but reduced the relative abundance of genes involved in nitrification (hao) and denitrification (narG, nirK), (iii) mineralization of organic P (phoA, phoB and phy) and solubilization of inorganic P (ppx, ppk and gcd), but not genes involved in P uptake and transport and the response to P starvation, and (iv) the production of hydrocyanic acid (hcnB), but not genes responsible for the production of phytohormones and antioxidants. Prolonged application of silicate fertilizer therefore promotes the growth and yield of rice by altering microbial functional genes involved in nutrient cycling and the production of hydrocyanic acid. © 2025 Elsevier B.V.

关键词： Antioxidant production Nutrient cycling Pathogen suppression Phytohormone production Recycling industrial slag

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bioimplant-on-a-Chip for Facile Investigation of Periodontal Ligament Formation on biogenic Hydroxyapatite/Ti6Al4 V Implants

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ACS applied materials & interfaces 2025年第21期17卷 2025 May 13页

作者： Sangbae Park Jae Eun Kim Juo Lee Woochan Kim Woobin Choi Myung Chul Lee Jae Woon Lim Kyoung-Je Jang Hoon Seonwoo Jangho Kim Jong Hoon Chung Department of Biosystems Engineering Seoul National University Seoul 08826 Korea. Research Institute of Agriculture and Life Sciences Seoul National University Seoul 08826 Republic of Korea. Integrated Major in Global Smart Farm College of Agriculture and Life Sciences Seoul National University Seoul 08826 Republic of Korea. Department of Convergent Biosystems Engineering College of Life Science and Natural Resources Sunchon National University Suncheon 57922 Republic of Korea. Department of Convergence Biosystems Engineering Chonnam National University Gwangju 61186 Republic of Korea. Department of Rural and Biosystems Engineering Chonnam National University Gwangju 61186 Republic of Korea. Interdisciplinary Program in IT-Bio Convergence System Chonnam National University Gwangju 61186 Republic of Korea. Medicinal Materials Research Center Biomedical Research Division Korea Institute of Science and Technology (KIST) Seoul 02792 Republic of Korea. Department of Bio-Systems Engineering Institute of Smart Farm Gyeongsang National University Jinju 52828 Republic of Korea. Institute of Agriculture & Life Science Gyeongsang National University Jinju 52828 Republic of Korea. Interdisciplinary Program in IT-Bio Convergence System Sunchon National University Suncheon 57922 Republic of Korea. Institute of Nano-Stem Cells Therapeutics NANOBIOSYSTEM Co. Ltd Gwangju 61008 Republic of Korea. ELBIO Inc Seoul 08812 Republic of Korea.

Highly osseointegrative dental implants surrounded by reconstructed periodontal tissues represent a promising strategy for functional tooth replacement, as they mimic the structural and physiological characteristics of natural teeth. However, there is currently a lack of in vitro platforms that can effectively evaluate the integration of engineered periodontal ligament (PDL) tissues with bioimplants. In this study, we developed a bioimplant-on-a-chip (BoC) platform designed to recapitulate the native PDL-cementum interface and assess the early stage biological performance of bioimplants in vitro. The BoC consists of a dental implant, a calcium phosphate cement (CPC) insert, a nanopatterned polydimethylsiloxane (PDMS) substrate, and PDL-like tissue derived from human dental pulp stem cells (DPSCs). To establish viable culture conditions within the platform, surface coatings and cell seeding densities were optimized to support the formation of PDL-like tissue. Nanogrooved substrates were incorporated to guide cellular alignment, which was assessed through orientation analysis. Collagen fiber organization and matrix deposition were further examined as indicators of ligamentous tissue maturation. Cementogenic activity was evaluated by immunofluorescent staining of cementum protein-1 (CEMP-1) in response to varying biogenic hydroxyapatite (bHA) contents in the bioimplants. The results demonstrated successful reproduction of a PDL-like tissue interface and material-dependent differences in CEMP-1 expression. This platform provides a modular and reproducible tool for the comparative evaluation of bioimplants in a physiologically relevant setting and may be useful in advancing regenerative strategies in dental implantology.

关键词： bioimplant-on-a-chip bioimplants in vitro model periodontal ligament tissue engineering

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Beamspace AIC & MDL Algorithm for Based on Concentric Circular Array Antenna 13

Beamspace AIC & MDL Algorithm for Based on Concentric Circul...

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Joint 13th International Conference on Soft Computing and Intelligent systems and 25th International Symposium on Advanced Intelligent systems, SCIS and ISIS 2024

作者： Park, Heui-Seon Hwang, Suk-Seung Chosun University Interdisciplinary Program in IT-Bio Convergence System Department of Electronic Engineering Gwangju Korea Republic of School of Electronic Engineering Chosun University Interdisciplinary Program in IT-Bio Convergence System Gwangju Korea Republic of

ISBN: (纸本)9798350373332

In modern wireless communication systems using multiple antenna elements, accurately identifying the signals contained in the received signal is very important. Conventional signal number estimation algorithms operate for the entire set of antenna elements, resulting in high computational complexity. In order to enhance this high computational complexity problem, this paper proposes beamspace based Akaike Information Criterion (AIC) and Minimum Description Length (MDL) algorithms based on a concentric circular array (CCA) antenna for efficient signal number estimation. In addition, computer simulation results are presented to evaluate the signal-number estimation performance of the proposed algorithm. © 2024 IEEE.

关键词： Akaike information criteria Beam space Concentric circular array antenna Minimum description length

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Three-Dimensional Dead-Reckoning Using Lie Theory 24

Three-Dimensional Dead-Reckoning Using Lie Theory

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24th International Conference on Control, Automation and systems, ICCAS 2024

作者： Jeong, Da Bin Yong Ko, Nak Chosun University Interdisciplinary Program in IT-Bio Convergence System Graduate School Department of Electronic Engineering Gwangju61452 Korea Republic of Chosun University Interdisciplinary Program in IT-Bio Convergence System Department of Electronic Engineering Gwangju61452 Korea Republic of

ISBN: (纸本)9788993215380

This paper proposes a Dead-reckoning (DR) method for vehicles using Lie theory. This approach treats the pose (position and attitude) and velocity of the vehicle as elements of the Lie group SE2(3) and follows computations based on Lie theory. Previously widely used DR methods suffer from cumulative errors over time due to inaccuracies in the calculated changes from velocity during the motion of the vehicle or small errors in modeling assumptions. By treating the pose and velocity of the vehicle as elements of the Lie group, the proposed method allows for accurate solutions without errors introduced by linearization. Experimental results confirm that the proposed method improves the accuracy of DR, particularly as the motion prediction time interval of the vehicle increases. © 2024 ICROS.

关键词： Exponential functions

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