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| WoS | SCOPUS | Document Type | Document Title | Abstract | Authors | Affiliation | ResearcherID (WoS) | AuthorsID (SCOPUS) | Author Email(s) | Journal Name | JCR Abbreviation | ISSN | eISSN | Volume | Issue | WoS Edition | WoS Category | JCR Year | IF | JCR (%) | FWCI | FWCI Update Date | WoS Citation | SCOPUS Citation | Keywords (WoS) | KeywordsPlus (WoS) | Keywords (SCOPUS) | KeywordsPlus (SCOPUS) | Language | Publication Stage | Publication Year | Publication Date | DOI | JCR Link | DOI Link | WOS Link | SCOPUS Link |
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| ○ | ○ | Article | Assessment of the effectiveness of a convolutional autoencoder for digital image-based automated core logging | Widely applicable convolutional neural network (CNN)-based lithology classification models are limited to interpret soundness of a trained model and require high computational cost. This study proposes a convolutional autoencoder (CAE)-based classification model to improve the efficiency of rock-core-logging analysis based on digital rock-core images (CAE model I) and suggest a more understandable classification model by extracting the lithological feature information from the network structure of the model. Moreover, input digital-image data transformation using the Canny edge-detection algorithm was implemented (CAE model II). The applicability of the developed models is validated by comparing them with a CNN model and RGBE model. While implementing the proposed model, digital images of 85-m-long cores were used, which were acquired from the Satyr 5 well in the Northern Carnarvon Basin, Western Australia. It was found that CAE models I and II showed classification accuracy comparable to the CNN model (CAE model I: 96.4%, CAE model II: 94.9%, CNN model: 97.5%, and RGBE model: 94.4%). The extracted features of the trained CAE models are effective in interpreting the trained network structure. In addition, in terms of computational efficiency and training time, the CAE-based models are significantly better than the CNN model (CAE model I: 7 min 21 s, CAE model II: 7 min 34 s, CNN model: 12 min 6 s, and RGBE model: 24 min 35 s). Overall, the results demonstrate the feasibility of the proposed CAE-based models for automated rock-core logging. | Park, Jaesung; Jeong, Jina | Kyungpook Natl Univ, Dept Geol, Daegu, South Korea | 57226611192; 55488558800 | jeong.j@knu.ac.kr; | GEOENERGY SCIENCE AND ENGINEERING | GEOENERGY SCI ENG | 2949-8929 | 2949-8910 | 227 | SCIE | ENERGY & FUELS;ENGINEERING, PETROLEUM | 2023 | N/A | 0.67 | 2025-06-25 | 6 | 6 | Rock -core digital -image data; Lithology classification; Convolutional autoencoder; Convolutional neural network; Canny edge detection; Automated rock -core logging | SMALL-SCALE HETEROGENEITY; LITHOLOGY PREDICTION; NEURAL-NETWORKS; RESOLUTION | Automated rock-core logging; Canny edge detection; Convolutional autoencoder; Convolutional neural network; Lithology classification; Rock-core digital-image data | Australia; Carnarvon Basin; Western Australia; Automation; Classification (of information); Computational efficiency; Convolution; Convolutional neural networks; Image classification; Image enhancement; Learning systems; Lithology; Metadata; Rocks; Auto encoders; Automated rock-core logging; Canny edge detection; Convolutional autoencoder; Convolutional neural network; Digital image data; Lithology classification; Rock core; Rock core logging; Rock-core digital-image data; accuracy assessment; algorithm; artificial neural network; core analysis; data interpretation; digital image; image classification; lithology; logging (geophysics); Neural network models | English | 2023 | 2023-08 | 10.1016/j.geoen.2023.211802 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | Article | Association between eating habits, sweet taste assessment, and high-sugar food consumption among elementary school students in Daegu: a descriptive study | Objectives: The purpose of this study was to analyze high-sugar food consumption habits frequency among elementary school students, and their correlations with eating habits and sweet taste assessment. Methods: The participants of the study were 164 elementary school students in Daegu, in the fifth or sixth grade, along with their parents. A questionnaire investigated eating habits, high-sugar food consumption habits and frequency, and sweet taste assessment. Results: The average eating habits score for elementary school students was determined to be 71.7 out of 100. Students with higher eating habits scores had lower high-sugar food consumption habits and frequency compared to those with lower eating habits scores. Sweet taste assessment revealed that students who preferred less sweetness chose a 5% sugar concentration, those with a preference for normal sweetness chose a 10% sugar concentration, and those who preferred sweeter tastes chose a 20% sugar concentration. Sweet taste assessment showed that students who tended to prefer less sweetness had the highest eating habits scores and the lowest scores for high-sugar food consumption habits and frequency. In addition, eating habits scores were found to be negatively correlated with high-sugar food consumption habits, high-sugar food consumption frequency, and sweet taste assessment. The sweet taste assessment was positively correlated with high-sugar food consumption habits and frequency. Conclusions: Our results indicate that students with good eating habits had more desirable overall sugar intake habits, and when the preference for sweetness was high, the frequency of high-sugar food consumption was also high. Our study highlights the importance of educating elementary school students and their parents about the harmful effects of excessive sugar consumption, as well as the benefits of adopting healthy eating habits and creating supportive environments. © 2023 Korean Society of Community Nutrition. | Kim, Min-Jung; Shin, Eun-Kyung; Lee, Yeon-Kyung | Major in Nutrition Education, Kyungpook National University, Daegu, South Korea; Department of Food Science and Nutrition, Kyungpook National University, Daegu, South Korea; Department of Food Science and Nutrition, Kyungpook National University, Daegu, South Korea | 58897306800; 56388261700; 16301462200 | yklee@knu.ac.kr; | Korean Journal of Community Nutrition | 2951-3146 | 28 | 2 | 0 | 2025-06-25 | 0 | Eating habits; Elementary school students; Sugar consumption; Sweet taste assessment | Korean | Final | 2023 | 10.5720/kjcn.2023.28.2.104 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Article | Association Mapping for Evaluation of Population Structure, Genetic Diversity, and Physiochemical Traits in Drought-Stressed Maize Germplasm Using SSR Markers | Globally, maize is one of the most consumed crops along with rice and wheat. However, maize is sensitive to different abiotic stress factors, such as drought, which have a significant impact on its production. The aims of this study were to investigate (1) genetic variation among 41 maize-inbred lines and the relationships among them and (2) significant marker-trait associations (SMTAs) between 7 selected physiochemical traits and 200 simple sequence repeat (SSR) markers to examine the genetics of these traits. A total of 1023 alleles were identified among the 41 maize-inbred lines using the 200 SSR loci, with a mean of 5.1 alleles per locus. The average major allele frequency, gene diversity, and polymorphism information content were 0.498, 0.627, and 0.579, respectively. The population structure analysis based on the 200 SSR loci divided the maize germplasm into two primary groups with an admixed group. Moreover, this study identified, respectively, 85 SMTAs and 31 SMTAs using a general linear model (Q GLM) and a mixed linear model (Q + K MLM) with statistically significant (p < 0.05 and <0.01) associations with the seven physiochemical traits (caffeic acid content, chlorogenic acid content, gallic acid content, ferulic acid content, 2,2-diphenyl-1-picrylhydrazyl free radical scavenging activity, leaf relative moisture content, total phenolic content). These SSR markers were highly correlated with one or more of the seven physiochemical traits. This study provides insights into the genetics of the 41 maize-inbred lines and their seven physiochemical traits and will be of assistance to breeders in the marker-assisted selection of maize for breeding programs. | Ilyas, Muhammad Zahaib; Park, Hyeon; Jang, So Jung; Cho, Jungeun; Sa, Kyu Jin; Lee, Ju Kyong | Kangwon Natl Univ, Coll Agr & Life Sci, Dept Appl Plant Sci, Chunchon 24341, South Korea; Kangwon Natl Univ, Interdisciplinary Program Smart Agr, Chunchon 24341, South Korea; Kyungpook Natl Univ, Coll Ecol & Environm Sci, Dept Crop Sci, Sangju 37224, South Korea | 57225901445; 57211708685; 57799681100; 58498974000; 36698953300; 7601470590 | zahaib1996@kangwon.ac.kr;hyeonpark@kangwon.ac.kr;ttojung24@kangwon.ac.kr;jjejje2000@kangwon.ac.kr;sakyujin@knu.ac.kr;jukyonglee@kangwon.ac.kr; | PLANTS-BASEL | 2223-7747 | 12 | 24 | 1.18 | 2025-06-25 | 6 | 6 | microsatellite markers; maize-inbred lines; population structure; physiochemical traits; association mapping; marker-trait association | ZEA-MAYS L.; PHENOLIC-COMPOUNDS; ACID; TOLERANCE; LOCI; EFFICIENCY; SEEDLINGS; SOFTWARE; BIOMASS; WHEAT | association mapping; maize-inbred lines; marker–trait association; microsatellite markers; physiochemical traits; population structure | English | 2023 | 2023-12 | 10.3390/plants12244092 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | Article | Association of Adiposity with Periodontitis and Metabolic Syndrome: From the Third National Health and Nutrition Examination Survey of United States | This study explored the epidemiological role of central adiposity and body mass index (BMI) in terms of clinical attachment loss (CAL)/pocket depth (PD) and metabolic syndrome components. This study included data from the National Health and Nutrition Examination Survey III of America on 12,254 adults aged 20 years of age or older with a blood sample, anthropometric measurements, and a periodontal examination. Clinical periodontitis measurements, including CAL and PD, were classified into quintiles or quartiles and compared. CAL was positively associated with central adiposity, hypertension, and hyperglycemia; the relationship between CAL and diabetes was stronger when central adiposity was absent (odds ratio [OR] and 95% confidence interval: 6.33, 2.14–18.72 vs. 3.14, 1.78–5.56). The relationship between CAL and impaired fasting glucose (IFG) differed slightly with BMI. The IFG ORs for normal, overweight, and obese patients were 1.63 (1.08–2.45), 1.76 (1.05–2.97), and 1.43 (0.88–2.30), respectively. CAL was positively correlated with all metabolic syndrome components except hypertriglyceridemia. Associations between CAL, diabetes, and IFG significantly varied with BMI. Periodontitis in individuals without central obesity or with normal bodyweight may independently indicate diabetes and IFG. Therefore, preventive measures against periodontitis without obesity are necessary to improve general and oral health. © 2023 by the authors. | Jung, YunSook; Kim, Ji-Hye; Shin, Ah-Ra; Song, Keun-Bae; Amano, Atsuo; Choi, Youn-Hee | Department of Dental Hygiene, College of Science & Technology, Kyungpook National University, Sangju, 37224, South Korea; Department of Preventive Dentistry, School of Dentistry, Kyungpook National University, Daegu, 41940, South Korea; Department of Preventive Dentistry, School of Dentistry, Kyungpook National University, Daegu, 41940, South Korea; Department of Preventive Dentistry, School of Dentistry, Kyungpook National University, Daegu, 41940, South Korea, Craniofacial Nerve-Bone Network Research Center, Kyungpook National University School of Dentistry, Daegu, 41940, South Korea; Department of Preventive Dentistry, Osaka University Graduate School of Dentistry, Osaka, 565-0871, Japan; Department of Preventive Dentistry, School of Dentistry, Kyungpook National University, Daegu, 41940, South Korea, Institute for Translational Research in Dentistry, Kyungpook National University, Daegu, 41940, South Korea | 57193342858; 58099706300; 57224143653; 35105905200; 7101649822; 7404777239 | cyh1001@knu.ac.kr; | International Journal of Environmental Research and Public Health | 1661-7827 | 20 | 3 | 0.89 | 2025-06-25 | 6 | adiposity; metabolic syndrome; periodontitis | Adiposity; Adult; Blood Glucose; Humans; Metabolic Syndrome; Nutrition Surveys; Obesity; Obesity, Abdominal; Periodontitis; Prediabetic State; United States; Young Adult; United States; glucose; high density lipoprotein; triacylglycerol; body mass; epidemiology; health survey; metabolism; nutrition; oral health; adult; aged; Article; body mass; body weight; clinical attachment level; controlled study; diabetes mellitus; diastolic blood pressure; disease association; female; glucose blood level; human; hyperglycemia; hypertension; hypertriglyceridemia; impaired fasting glucose; lipoprotein blood level; major clinical study; male; metabolic syndrome X; obese patient; obesity; periodontal pocket depth; periodontitis; systolic blood pressure; triacylglycerol blood level; United States; waist circumference; abdominal obesity; complication; impaired glucose tolerance; metabolic syndrome X; nutrition; obesity; periodontitis; young adult | English | Final | 2023 | 10.3390/ijerph20032533 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Article | Asymmetric Capacitive Sensor for On-line and Real-time Partial Discharge Detection in Power Cables | Partial discharges (PD) have long been recognized as a major contributing factor to catastrophic failures in high-power equipment. As the demand for high voltage direct current (HVDC) facilities continues to rise, the significance of on-line and real-time monitoring of PD becomes increasingly prominent. In this study, we have designed, fabricated, and characterized a highly sensitive and cost-effec-tive PD sensor comprising a pair of copper electrodes with different arc lengths. The key advantage of our sensor is its non-invasive nature, as it can be installed at any location along the entire power cable without requiring structural modifications. In contrast, con-ventional PD sensors are typically limited to installation at cable terminals or insulation joint boxes, often necessitating invasive alter-ations. Our PD sensor demonstrates exceptional accuracy in estimating PD location, with a success rate exceeding 95% in the straight sections of the power cable and surpassing 89% in curved sections. These remarkable characteristics indicate its high potential for real-time and on-line detection of PD. © 2023, Korean Sensors Society. All rights reserved. | Son, Changhee; Cheon, Hyewon; Lee, Hakson; Kang, Daekyung; Park, Jonghoo | Department of Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea; Department of Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of electronics and electrical engineering, Kyungpook National University, Daegu, 41566, South Korea; Department of Bio-Convergence Science and Technology, Kyungpook National University, Daegu, 41566, South Korea; Department of Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea | 57211868705; 58569304300; 58782318900; 57211869035; 57196408322 | jonghoopark@knu.ac.kr; | Journal of Sensor Science and Technology | 1225-5475 | 32 | 4 | 0 | 2025-06-25 | 0 | Capacitive sensor; HVDC; Partial discharge; Power cable | English | Final | 2023 | 10.46670/jsst.2023.32.4.219 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Proceedings Paper | Atomically Thin 0.65nm and 6nm Vertical Side-Wall MoS2 Channel Transistors | Si transistors will face scaling limits below 5 nm due to aggressive short channel effects (SCEs). Two-dimensional (2D) MoS2 semiconductor materials have become attractive for next-generation electronic devices. This study investigated the electrical characteristics of sidewall transistors with a MoS2 channel thickness of 0.65 nm and 6 nm, which is the optimal platform for evaluating SCEs. Furthermore, the conduction mechanism of MoS2 transistor is scrutinized by temperature dependent feature. These results will be a foundation stone for the development of ultra-scaled MoS2 transistor. | Kim, Kihan; Jang, Byung Chul | Kyungpook Natl Univ, Sch Elect & Elect Engn, 80 Daehakro, Daegu 41566, South Korea | Jang, Byung Chul/GYV-0656-2022 | 58170931700; 9238827900 | bc.jang@knu.ac.kr; | 2023 SILICON NANOELECTRONICS WORKSHOP, SNW | 2161-4636 | 0 | 2025-06-25 | 0 | 0 | Molybdenum compounds; Transistors; Channel thickness; Channel transistors; Conduction Mechanism; Electrical characteristic; Electronics devices; Face scaling; Scaling limits; Short-channel effect; Two-dimensional; Vertical side wall; Layered semiconductors | English | 2023 | 2023 | 10.23919/snw57900.2023.10183961 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||||
| ○ | ○ | Proceedings Paper | Attention-Based Underwater Oil Leakage Detection | This study addresses the pressing issue of oil and water and leakage detection in underwater pipes, which has become a major concern due to the increasing demand for pristine water and natural oil and a growing global demand. While extensive datasets exist for image and voice recognition, few datasets are available for the engineering detection of oil and water pipe leakage using acoustic signals. Consequently, many existing leak detection systems are ineffective at identifying breaches, resulting in major spills that cost pipeline companies millions of dollars. To address this problem, we propose a novel approach that employs an attention-based neural network methodology to predict underwater pipe leakage and evaluate the effectiveness of deep learning models. Our study employs sensor signal datasets from an actual industrial scenario, and our results indicate that the attention model outperforms other models in this domain. This study presents a promising avenue for addressing the issue of water leakage detection and management, which has significant implications for the water industry and the global population. | Rehman, Muhammad Zia Ur; Shanmuganathan, Manimurugan; Paul, Anand | Kyungpook Natl Univ, Sch Comp Sci, Daegu, South Korea; Univ Tabuk, Fac Comp & IT, Tabuk, Saudi Arabia | Rehman, Muhammad/M-3450-2016; Paul, Anand/V-6724-2017; S, Manimurugan/Y-8103-2019 | 58547519100; 58547143100; 56650522400 | ziaurrehmankhan921@gmail.com;mmurugan@ut.edu.sa;ccmp@gmail.com; | 2023 IEEE CONFERENCE ON ARTIFICIAL INTELLIGENCE, CAI | 0.46 | 2025-06-25 | 1 | 1 | Leak detection; Deep Learning; Attention-based Neural Networks | PIPELINE; SYSTEM | Attention-based Neural Networks; Deep Learning; Leak detection | Deep learning; Hazardous materials spills; Underwater acoustics; Water pipelines; Attention-based neural network; Deep learning; Leakage detection; Leaks detections; Natural oil; Neural-networks; Oil leakage; Pressung; Pristine waters; Water detection; Leak detection | English | 2023 | 2023 | 10.1109/cai54212.2023.00100 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||
| ○ | ○ | Proceedings Paper | ATTENTION-GUIDED COST VOLUME REFINEMENT NETWORK FOR SATELLITE STEREO IMAGE MATCHING | In remote sensing, disparity calculation using stereo images is a very necessary task and provides information for estimating the terrain elevation. The fields using disparity of stereo satellite images are used in various fields such as terrain models, autonomous driving using 3D maps, and content development. However, extracting disparity from stereo satellite images is a very difficult task, and inaccurate disparity may be extracted due to complex environments, facade areas of buildings, and texture-less areas. Our proposed method improves feature extraction and 3D aggregation steps based on Gwc-Net using stereo images rectified through RPC (Rational Polynomial Coefficients). To this achieve, we first improve the accuracy of the initial cost volume by extracting important features using the attention module 2D CBAM. In addition, in the aggregation step, we use 3D CBAM to extract important features from the cost volume and use GCE (Correlate-and-Excite) to guide image features to the cost volume to improve disparity. To evaluate the proposed method, the accuracy of disparity is evaluated using RPC-corrected stereo satellite images of DFC2019 data track2 of the US3D dataset. As a result of the experiment, the proposed method exhibited improvement compared to the baseline Gwc-Net. | Jeong, W. J.; Park, S. Y. | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea | Park, Soon-Yong/HGV-2374-2022 | 58074469700; 7501834063 | autowmacma@gmail.com;sypark@knu.ac.kr; | GEOSPATIAL WEEK 2023, VOL. 48-1 | 1682-1750 | 2194-9034 | 0 | 2025-06-25 | 0 | 0 | Satellite stereo images; Disparity estimation; Guided Cost Volume; Attention module; Residual network | Attention module; Disparity estimation; Guided Cost Volume; Residual network; Satellite stereo images | Image enhancement; Remote sensing; Stereo image processing; Textures; Attention module; Disparity estimations; Guided cost volume; Important features; Rational polynomial coefficients; Residual network; Satellite images; Satellite stereo image; Stereo image matching; Stereoimages; Satellites | English | 2023 | 2023 | 10.5194/isprs-archives-xlviii-1-w2-2023-1045-2023 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | Article | Automatic Classification of Disaster Images Based on Deep Learning | Recently, persistent catastrophic issues and advancements in science and technology have increased the need for disaster research. In this study, we propose a deep learning-based framework that distinguishes disaster images from large-scale datasets, thereby providing access to disaster-related image data. To construct an accurate dataset for our framework, disaster images were manually collected and labeled from various open datasets. Image generation and augmentation techniques were used to supplement the insufficient training dataset and enhance the classifier training of our classification framework. We built a classification framework that demonstrates over 99% accuracy in classification experiments using open datasets. © 2023, Korean Institute of Communications and Information Sciences. All rights reserved. | Song, Hojun; Lee, Dong-Hun; Baek, Han-Gyul; Bae, Byungjun; Park, Sang-Hyo | School of Computer Science and Engineering, Kyungpook National University, South Korea; School of Computer Science and Engineering, Kyungpook National University, South Korea; School of Computer Science and Engineering, Kyungpook National University, South Korea; Media Research Division, Electronics and Telecommunications Research Institute, South Korea; School of Computer Science and Engineering, Kyungpook National University, South Korea | 59144116200; 57220892471; 58107476600; 7007174541; 55362514700 | s.park@knu.ac.kr; | Journal of Korean Institute of Communications and Information Sciences | 1226-4717 | 48 | 12 | 0 | 2025-06-25 | 0 | Disaster Image Data; Image Augmentation; Image Classification; Image Generation | English | Final | 2023 | 10.7840/kics.2023.48.12.1633 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Article | Automatic Evaluation of Soybean Seed Traits Using RGB Image Data and a Python Algorithm | Soybean (Glycine max) is a crucial legume crop known for its nutritional value, as its seeds provide large amounts of plant protein and oil. To ensure maximum productivity in soybean farming, it is essential to carefully choose high-quality seeds that possess desirable characteristics, such as the appropriate size, shape, color, and absence of any damage. By studying the relationship between seed shape and other traits, we can effectively identify different genotypes and improve breeding strategies to develop high-yielding soybean seeds. This study focused on the analysis of seed traits using a Python algorithm. The seed length, width, projected area, and aspect ratio were measured, and the total number of seeds was calculated. The OpenCV library along with the contour detection function were used to measure the seed traits. The seed traits obtained through the algorithm were compared with the values obtained manually and from two software applications (SmartGrain and WinDIAS). The algorithm-derived measurements for the seed length, width, and projected area showed a strong correlation with the measurements obtained using various methods, with R-square values greater than 0.95 (p < 0.0001). Similarly, the error metrics, including the residual standard error, root mean square error, and mean absolute error, were all below 0.5% when comparing the seed length, width, and aspect ratio across different measurement methods. For the projected area, the error was less than 4% when compared with different measurement methods. Furthermore, the algorithm used to count the number of seeds present in the acquired images was highly accurate, and only a few errors were observed. This was a preliminary study that investigated only some morphological traits, and further research is needed to explore more seed attributes. | Ghimire, Amit; Kim, Seong-Hoon; Cho, Areum; Jang, Naeun; Ahn, Seonhwa; Islam, Mohammad Shafiqul; Mansoor, Sheikh; Chung, Yong Suk; Kim, Yoonha | Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea; Natl Inst Agr Sci, Natl Agrobiodivers Ctr, RDA, Jeonju, South Korea; Kyungpook Natl Univ, Sch Appl Biosci, Daegu 41566, South Korea; Jeju Natl Univ, Dept Plant Resources & Environm, Jeju 63243, South Korea; Kyungpook Natl Univ, Upland Field Machinery Res Ctr, Daegu 41566, South Korea | ; Islam, Mohammad/K-8232-2019; Chung, Yong/V-6909-2019; Kim, Seong-Hoon/AHE-2059-2022; Mansoor, Sheikh/AAK-1432-2020; ghimire, amit/KCK-1842-2024 | 57823220200; 57208236056; 58568892100; 58569325200; 58568892200; 59448717500; 57207764253; 36983850100; 57224866763 | ghimireamit2009@gmail.com;shkim0819@korea.kr;nina0821@naver.com;nangni99@naver.com;ash8235@naver.com;shafik.hort@gmail.com;mansoorshafi@jejunu.ac.kr;yschung@jejunu.ac.kr;kyh1229@knu.ac.kr; | PLANTS-BASEL | 2223-7747 | 12 | 17 | 2.16 | 2025-06-25 | 9 | 11 | image analysis; Python algorithm; soybean; seed number; seed size | SIZE; SHAPE | image analysis; Python algorithm; seed number; seed size; soybean | English | 2023 | 2023-09 | 10.3390/plants12173078 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | Conference paper | AUV-Aided Isolated Sub-Network Prevention for Underwater Wireless Sensor Networks | This short paper presents an AUV-aided isolated sub-networks (ISNs) prevention protocol for underwater wireless sensor networks (UWSNs). In a multi-hop UWSN, the death of a special node, namely the cut-vertex (CV), divides the network into the main network and an ISN. This results in a loss of data generated by the ISN. To overcome this problem, in the proposed protocol, the AUV first determines a CV by utilizing the information collected from the sensor nodes. Then, using the Chapman-Kolmogorov equation, the AUV predicts the residual energy of the CV in future time-slots and guarantees that it reaches the CV before the CV's energy is depleted and an ISN is formed. The AUV then collects data from the sensor nodes instead of the CV. During the time-slots in which the AUV performs data collection, the CV harvests energy from ambient underwater sources and rejoins the network after it has sufficiently recharged its energy. Our preliminary simulation results show that the proposed protocol outperforms the stratification-based data collection scheme and Q-learning-based topology-aware routing protocol in terms of network lifetime and delay. © 2023 IEEE. | Nandyala, Chandra Sukanya; Shitiri, Ethungshan; Cho, Ho-Shin | Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Universitat Politècnica de Catalunya (UPC), Department of Computer Architecture, Barcelona, Spain; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea | 57160181200; 57190818428; 35316924900 | International Conference on Ubiquitous and Future Networks, ICUFN | 2165-8528 | 2023-July | 1.49 | 2025-06-25 | 3 | AUV; Chapman-Kolmogorov; cut-vertex; data-collection; energy harvesting; Markov chain; underwater wireless sensor networks | Autonomous underwater vehicles; Computational complexity; Data acquisition; Internet protocols; Markov processes; Reinforcement learning; Sensor nodes; AUV; Chapman-kolmogorov; Cut-vertex; Data collection; Energy; Kolmogorov; Multi-hops; Subnetworks; Timeslots; Underwater wireless sensor networks; Energy harvesting | English | Final | 2023 | 10.1109/icufn57995.2023.10199844 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | Book chapter | Bacterial enzymes and their application in agroecology | Agroecology is a relatively new scientific discipline that has emerged as a methodology that can be utilized for research, diagnosis, and the development of alternative strategies for the low-input management of agroecosystems. This view of agroecology is simply one of many possible ones. Finding a solution to the problem of agriculture’s lack of sustainability is one of the primary goals of agroecology as an academic discipline. Despite this, it has been kept here all this time. Because merely concentrating on the technological components of the problem, even though the promoted solutions have very little input, obscures the fundamental concerns that lie below the technology-induced issues. Environmental devastation and economic decline in rural areas are two issues that are harming agricultural regions all over the world. Agroecology can supply the ecological principles that put technological growth on the right path. Nevertheless, during this process, technological concerns need to take their rightful place within a strategy for rural development that considers both social and economic factors. © 2024 Elsevier Inc. All rights reserved. | Muhammad, Murad; Begum, Sani; Basit, Abdul; Arooj, Aqsa; Mohamed, Heba I. | Phyto-ecology Lab, Department of Botany, University of Peshawar, Peshawar, Pakistan, State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China; Department of Botany, Hazara University, Mansehra, Pakistan; Department of Horticulture, Faculty of Crop Production Sciences, University of Agriculture, Peshawar, Pakistan, Department of Horticultural Science, Kyungpook National University, Daegu, South Korea; Institute of Urban Environment, Chinese Academy of Sciences, Fujian, China; Department of Biological and Geological Sciences, Faculty of Education, Ain Shams University, Cairo, Egypt | 57223331609; 58868096400; 58696991300; 58868708600; 37102371200 | Bacterial Secondary Metabolites: Synthesis and Applications in Agroecosystem | 0 | 2025-06-25 | 0 | agriculture; Agroecology; bacterial applications; bacterial enzymes | English | Final | 2023 | 10.1016/b978-0-323-95251-4.00016-8 | 바로가기 | 바로가기 | ||||||||||||||||||||
| ○ | Book chapter | Bacterial pigments and their applications | Scientific research on bacterial pigments is still in its early stages, while fungal pigments are well known. In addition, most bacteria have not been fully characterized, and many species are unable to be cultured in the laboratory. Bacteria have a short lifespan, and because of this, it can be a useful alternative source to produce synthetic pigments. Carotenoids, even so, are the most investigated. Thialkalivibrio, Achromobactin, Sarcina, Serratia, and Bacillus sp. all have strains that can generate pigments in high yields, though Microbispora, Streptosporangium, Nocardia, Streptomyces, Actinomadura, Micromonospora, Thermomonospora, Actinoplanes, and Rhodococcus are not involved in pigment production. There are also multiple health benefits in addition to their usage in the cosmetics and food industries, including antimicrobial, antiviral, antioxidant, and anticancer properties found in bacterial pigments. In the food, clothing, and cosmetics industries, the use of pigments as dye agents is quite common. Natural pigments, found both in plants and microbes, work to fight disease by blocking microbes and viruses from spreading because pigments have antiinflammatory and anticancer properties. As a result, a variety of natural pigments have been identified, each with its own set of benefits, such as pigment stability, availability of cultivation technology, ease of downstream processing, and lower cost. Although pigments like melanin, violaceins, quinones, and indigoidines are primarily used in textile, food, and cosmetic products, they have also been found to be enhanced antimicrobial agents. Even though pigment molecules could act as bioindicators, antioxidants, and anticancer agents due to their therapeutic properties, their potential is increasingly becoming an important research area in the biomedical field. The bacterially produced pigments that follow possess the properties necessary to be considered beneficial in the healthcare industry. © 2024 Elsevier Inc. All rights reserved. | Muhammad, Murad; Basit, Abdul; Majeed, Muhammad; Shah, Adnan Ali; Ullah, Inayat; Mohamed, Heba I.; Khan, Ayesha; Ghanaim, Amira Mohamed | Phyto-ecology Lab, Department of Botany, University of Peshawar, Peshawar, Pakistan, Department of Botany, University of Peshawar, Peshawar, Pakistan, State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China; Department of Horticulture, Faculty of Crop Production Sciences, University of Agriculture, Peshawar, Pakistan, Department of Horticultural Science, Kyungpook National University, Daegu, South Korea; Department of Botany, University of Gujrat, Punjab, Gujrat, Pakistan; Department of Botany, University of Peshawar, Peshawar, Pakistan; Department of Agricultural Mechanization and Renewable Energy Technologies, Faculty of Crop Production Sciences, University of Agriculture, Peshawar, Pakistan; Department of Biological and Geological Sciences, Faculty of Education, Ain Shams University, Cairo, Egypt; Department of Horticulture, Faculty of Crop Production Sciences, University of Agriculture, Peshawar, Pakistan; Department of Biological and Geological Sciences, Faculty of Education, Ain Shams University, Cairo, Egypt | 57223331609; 58696991300; 58589294500; 57223328953; 57213242607; 37102371200; 57199716425; 57959273000 | Bacterial Secondary Metabolites: Synthesis and Applications in Agroecosystem | 18.02 | 2025-06-25 | 18 | Bacterial pigments; health benefits; pigment production | English | Final | 2023 | 10.1016/b978-0-323-95251-4.00019-3 | 바로가기 | 바로가기 | ||||||||||||||||||||
| ○ | Article | Bacterial Sepsis Associated with a Captive State Caused by Edwardsiella tarda in a Eurasian Brown Bear (Ursus arctos arctos) | Edwardsiella (E) tarda belongs to the Enterobacteriaceae family and is a motile, gram-negative, rod-shaped, facultative anaerobe regarded as an opportunistic and food-borne pathogen in animals and humans. A 21-year-old male Eurasian brown bear (Ursus arctos arctos) died suddenly without any preliminary signs. Necropsy performed according to standard protocol revealed swollen abdomen with hemorrhagic congestions of the gastroenteric organs, ascites, and hemorrhagic exudates around the mouth. The liver showed discolor-ation, along with a severely swollen and multiple hemorrhages of the spleen, an elongated gallbladder, and a congested cortex and medullar lesion of kidneys. The stomach contained semi-liquid exudates and undigested chicken exuding a decayed odor. The stomach membranes were dark-gray in color with several cysts in the fundus lesions. Rod-shaped bacteria were found in the major organs by Giemsa staining, identified as E. tarda using a biochemical rapid diagnostic identification kit. © The Korean Society of Veterinary Clinics. | Seo, Min-Goo; Eo, Kyung-Yeon; Kwak, Dongmi; Kim, Kyoo-Tae | College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea; College of Healthcare and Biotechnology, Semyung University, Jecheon, 27136, South Korea; College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea; College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea | 53982155300; 26631541100; 7007148758; 56680415000 | kyootae@knu.ac.kr; | Journal of Veterinary Clinics | 1598-298X | 40 | 1 | 0.37 | 2025-06-25 | 1 | bear; Edwardsiella tarda; septicemia; Ursus arctos arctos; zoo | abdominal swelling; animal tissue; antibiotic resistance; antibiotic sensitivity; Article; ascites; autopsy; bacterium culture; bacterium identification; bleeding; brown bear; disk diffusion; Edwardsiella tarda; exudate; Giemsa stain; histopathology; indigestion; interstitial pneumonia; kidney disease; kidney injury; kidney necrosis; lung congestion; lymphocytic infiltration; male; minimum inhibitory concentration; nonhuman; sepsis; spleen congestion; spleen disease; spleen hemorrhage; trachea congestion; trachea disease; tubular interstitial congestion | English | Final | 2023 | 10.17555/jvc.2023.40.1.78 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Conference paper | BEOL-compatible 4F2 Single Crystalline Semiconductor Oscillator for Low-power and Large-scale Oscillatory Neural Network Hardware | Oscillatory neural network (ONN), which is a novel neuromorphic system composed of oscillatory neurons coupled via synapses, is suitable for solving complex patterns. In this work, we demonstrated the feasible ONN hardware based on an InGaAs biristor, a single-crystal semiconductor exhibiting high reliability, uniformity, and repeatability. We first evaluated the oscillation characteristics of the InGaAs biristor-based oscillator (IBO). To enhance the operational efficiency of the ONN, we proposed a sub-harmonic injection locking (SHIL) method. This technique allows for precise control of the oscillatory behavior, resulting in improved performance and energy efficiency. In addition, we systematically demonstrated the coupled capacitors acting as synapses to control the weight in coupled IBOs. Finally, we perform simulations to validate the feasibility of our proposed device. Specifically, we tested the performance of a 3×5 ONN system in a -+pattem recognition task. We expect that the advantages of the IBO in terms of its cell size (4F2), low-temperature fabrication (< 100 °C), and high reliability will contribute to future advancements in 3D stackable ONN hardware systems. © 2023 IEEE. | Kim, Joon Pyo; Kim, Hyun Wook; Jeong, Jaeyong; Park, Juhyuk; Kim, Seong Kwang; Kim, Jongmin; Woo, Jiyong; Kim, Sanghyeon | Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, South Korea; Kyungpook National University (KNU), Daegu, 41566, South Korea; Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, South Korea; Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, South Korea; Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, South Korea; Korea Advanced Nano Fab Center (KANC), Suwon, 16229, South Korea; Kyungpook National University (KNU), Daegu, 41566, South Korea; Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, South Korea | 57233285700; 57557016000; 57222569322; 57223148768; 57149020800; 56468989500; 53985749100; 57205232256 | shkim.ee@kaist.ac.kr;jiyong.woo@knu.ac.kr; | Technical Digest - International Electron Devices Meeting, IEDM | 0163-1918 | 0 | 2025-06-25 | 1 | Energy efficiency; Gallium alloys; Indium alloys; Low power electronics; Semiconducting indium; Semiconductor alloys; Single crystals; Temperature; Complex pattern; High reliability; Large-scales; Low Power; Neural network hardware; Neuromorphic systems; Oscillatory neural networks; Performance; Single crystalline semiconductors; Single-crystal semiconductors; Semiconducting indium gallium arsenide | English | Final | 2023 | 10.1109/iedm45741.2023.10413826 | 바로가기 | 바로가기 |
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