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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 | Applying HPLC to Screening QTLs for BLB Resistance in Rice | Bacterial leaf blight (BLB) is caused by Xanthomonas oryzae pv. oryzae and is a major cause of rice yield reductions around the world. When diseased, plants produce a variety of metabolites to resist pathogens. In this study, the various defense metabolites were quantified using high-performance liquid chromatography (HPLC) after Xoo inoculation in a 120 Cheongcheong/Nagdong double haploid (CNDH) population. Quantitative trait locus (QTL) mapping was conducted using the concentration of the plant defense metabolites. HPLC analyzes the concentration of substances according to the severity of disease symptoms. Searching for BLB resistance candidate genes by applying this analysis method is very effective when mapping related genes. These resistance genes can be mapped directly to the causative pathogens. A total of 17 metabolites were detected by means of HPLC analysis after Xoo inoculation in the 120 CNDH population. QTL mapping of the metabolite concentrations resulted in the detection of the BLB resistance candidate gene, OsWRKYq6, in RM3343 of chromosome 6. OsWRKYq6 has a very high homology sequence with WRKY transcription factor 39, and when inoculated with Xoo, the relative expression level of the resistant population was higher than that of the susceptible population. Resistance genes have previously been detected using only phenotypic change data. In this study, resistance candidate genes were detected using the concentration of metabolites produced in plants after inoculation with pathogens. This newly developed analysis method can be used to effectively detect and identify genes directly involved in disease resistance for future studies. | Du, Xiao-Xuan; Park, Jae-Ryoung; Wang, Xiao-Han; Jang, Yoon-Hee; Kim, Eun-Gyeong; Lee, Gang-Seob; Kim, Kyung-Min | Rural Dev Adm, Natl Acad Agr Sci, Biosafety Div, Jeonju 54874, South Korea; Kyungpook Natl Univ, Coastal Agr Res Inst, Daegu 41566, South Korea; Kyungpook Natl Univ, Coll Agr & Life Sci, Sch Appl Biosci, Div Plant Biosci, Daegu 41566, South Korea; Rural Dev Adm, Natl Inst Agr Sci, Natl Agrobiodivers Ctr, Jeonju 55365, South Korea | ; Du, Xiaoxuan/AGZ-8638-2022; Kim, Kyung-Min Kim/C-7007-2014 | 57209098077; 57211205505; 57219099428; 57219901992; 57221496070; 25927158200; 34868260300 | haobingshuaike@hotmail.com;icd92@naver.com;wang@knu.ac.kr;uniunnie@naver.com;dkqkxk632@naver.com;kangslee@korea.kr;kkm@knu.ac.kr; | PLANTS-BASEL | 2223-7747 | 10 | 10 | 0 | 2025-07-30 | 0 | 0 | HPLC; QTL; rice; BLB; Xanthomonas oryzae pv. oryzae | BACTERIAL LEAF-BLIGHT; DEFENSE | BLB; HPLC; QTL; Rice; Xanthomonas oryzae pv. oryzae | English | 2021 | 2021-10 | 10.3390/plants10102145 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | Article | Arrested Pneumatization of the Sphenoid Sinus in the Skull Base | We report 2 cases of arrested pneumatization of the sphenoid sinus, a normal variant commonly misdiagnosed as a serious condition of the skull base. A 65-year-old man visited a local clinic for regular checkups. Brain CT showed a non-expansile lesion of the soft tissue with a well-defined sclerotic margin in the clivus but without destruction or mass effect on the surrounding bony structures. Subsequent brain MRI revealed that the lesion within the clivus was a high-signal lesion on the T2-weighted image, containing a low-signal round mass seen on a high-intensity signal on the T1-weighted image without contrast enhancement. Thus, the lesion was considered to contain internal fat. A 70-year-old woman diagnosed with a tumor in the greater sphenoid bone visited our hospital. Her brain CT revealed a non-expansile lesion of mixed density and a well-demarcated lesion and internal curvilinear calcification in the left greater wing of the sphenoid bone. The margin was osteosclerotic and the adjacent bony structure was intact. Her brain MRI showed that the lesion within the greater sphenoid bone had multiple low-signal lesions within a high-signal lesion on the T2-weighted image, suggesting internal fat contents. The lesions were diagnosed as arrested pneumatization of the sphenoid sinus and no further examination or treatment was performed. Arrested pneumatization of the sphenoid sinus should be considered in the presence of non-expansile lesion with an osteosclerotic boundary and internal fat component in the skull base. © 2021 The Korean Brain Tumor Society, The Korean Society for NeuroOncology, and The Korean Society for Pediatric Neuro-Oncology. | Park, Seong-Hyun; Hwang, Jeong-Hyun | Department of Neurosurgery, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea; Department of Neurosurgery, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea | 21734563200; 7403896906 | nsdoctor@naver.com; | Brain Tumor Research and Treatment | 2288-2405 | 9 | 1 | 0.7 | 2025-07-30 | 8 | Bone; Diagnosis; Skull; Sphenoid sinus | English | Final | 2021 | 10.14791/btrt.2021.9.e2 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Article | Artificial intelligence-based facial body temperature measurement system using thermal image and YOLOv4 | Due to the recent spread and long-term continuation of COVID-19, numerous non-contact body temperature measuring equipment is being introduced in public places to prevent cross-infection. Therefore, extensive research on the non-contact body temperature measurement method, using a thermal imaging camera, is being conducted globally. The existing method of measuring the body temperature using a thermal imaging camera has several limitations including a severe temperature deviation while measuring the body temperature, blurring of the location of the set measuring point, or not obtaining an accurate measurement due to obstacles. To overcome these limitations, we used deep learning to detect faces in thermal images, and measure the body temperature using a multipoint-based image processing with histograms of the detected areas. The proposed deep-learning-based method exhibited several advantages such as higher accuracy, wide area coverage, and efficient detection irrespective of obstacles. Compared to the conventional body temperature measurement, that proposed in this paper resulted in an average body temperature measurement error rate of less than 2%. © 2021, Institute of Control, Robotics and Systems. All rights reserved. | Son, Jin Yeong; Jung, Ho Min; Kim, Min Young | Department of Future Automotive and IT Convergence, Kyungpook National University, South Korea; Intelligence SW Team, Hanwha systems Co. Ltd, South Korea; School of Electronics and Electrical Engineering, Kyungpook National University, South Korea, Research Center for Neurosurgical Robotic System, Kyungpook National University, South Korea | 57363942300; 57214102403; 56739349100 | minyoung.kim2@gmail.com; | Journal of Institute of Control, Robotics and Systems | 1976-5622 | 27 | 11 | 0.08 | 2025-07-30 | 1 | AI deep-learning; Body temperature measurement; Histogram; Human detection; Thermal Camera | Cameras; Deep learning; Infrared devices; Infrared imaging; Physiology; Temperature measurement; AI deep-learning; Body temperature; Body temperature measurements; Contact bodies; Human detection; Non-contact; Temperature measurement systems; Thermal camera; Thermal images; Thermal imaging cameras; Graphic methods | Korean | Final | 2021 | 10.5302/j.icros.2021.21.0124 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Article | Assessing Maize Growth and Physiological Indices under Combined and Individual Influence of Bacillus sp. MN-54 and Organic Amendments | Use of organic amendments along with biofertilizers are becoming popular day by day for agricultural sustainability and gives hope for a gradual shift from synthetic fertilizers, pesticides, and other chemical amendments towards organic and sustainable practices. This experiment was carried for the investigation of biochar, cattle manure, and Bacillus sp. MN-54 application on the chemical composition, physiology, and growth parameters of maize plants individually and coupled with each other. Treatment results were considered significant at P ≤ 0.05. Cattle manure having low pH combined with Bacillus sp. MN-54 treatment significantly improved the transpiration rate, water use efficiency, Relative water content, chlorophyll content, photosynthetic rate, plant height and stomatal conductance (P ≤ 0.05). The electrolyte leakage was decreased by 58.13% whereas the root growth increased by 116.65% over non-treated plants, when low pH cattle manure was supplemented with Bacillus sp. MN-54. Overall, the Bacillus sp. MN-54 showed compatibility with the maize variety Gauher-19 and showed significantly positive results when applied with low pH cattle manure, proving its future application in the sustainability of agriculture. © 2021. Pakistan Journal of Life and Social Sciences. All Rights Reserved. | Abubakar, Muhammad; Naveed, Muhammad; Ahmad, Zulfiqar; Cheema, Sardar Alam; Khan, Ali Sultan; Yun, Seong Hee; Park, Ha Young; Kwon, Chan Ho; Nazir, Fahad | Institute of Soil & Environmental Science, University of Agriculture, Faisalabad, Pakistan; Institute of Soil & Environmental Science, University of Agriculture, Faisalabad, Pakistan; Institute of Soil & Environmental Science, University of Agriculture, Faisalabad, Pakistan; Institute of Soil & Environmental Science, University of Agriculture, Faisalabad, Pakistan; Department of Animal Science, Kyungpook National University, South Korea; Department of Animal Science, Kyungpook National University, South Korea; Department of Animal Science, Kyungpook National University, South Korea; Department of Animal Science, Kyungpook National University, South Korea; Department of Horticulture, Faculty of Crop and Food Sciences, PMAS -AAUR, Pakistan, National Centre of Industrial Biotechnology, PMAS -Arid Agriculture University, Rawalpindi, Pakistan | 23391765000; 57945293700; 57220654294; 25951229100; 57842239500; 57841069800; 57843125200; 57201618361; 57701006900 | ali.sultan.khan.95@knu.ac.kr; | Pakistan Journal of Life and Social Sciences | 1727-4915 | 19 | 1 | 0 | 2025-07-30 | 0 | Bacillus sp. mn-54; Biochar; Cattle manure; Maize | English | Final | 2021 | 바로가기 | ||||||||||||||||||
| ○ | ○ | Article | Assessment of genetic diversity using microsatellite markers to compare donkeys (Equus asinus) with horses (Equus caballus) | Objective: The study aimed to evaluate the diversity of donkey populations by comparing with the diversity of Thoroughbred and Jeju Halla horses; identified breeding backgrounds can contribute to management and conservation of donkeys in South Korea. Methods: A total of 100 horse (50 Thoroughbreds and 50 Jeju Halla horses) and 79 donkeys samples were genotyped with 15 microsatellite markers (AHT4, AHT5, ASB2, ASB17, ASB23, CA425, HMS1, HMS2, HMS3, HMS6, HMS7, HTG4, HTG10, LEX3, and VHL20), to identify genetic diversity and relationships among horses and donkeys. Results: The observed number of alleles per locus ranged from 1 (ASB17, HMS1) to 14 (AHT5), with a mean value of 4.87, 8.00, and 5.87 in Thoroughbreds, Jeju Halla horses, and donkeys, respectively. Of the 15 markers, AHT4, AHT5, ASB23, CA425, HMS2, HMS3, HTG4, HTG10, and LEX3 loci had relatively high polymorphism information content (PIC) values (PIC>0.5) in these three populations. Mean levels of genetic variation were H-E = 0.6721 and H-O = 0.6600 in Thoroughbreds, H-E = 0.7898 and H-O = 0.7100 in Jeju Halla horses, and H-E = 0.5635 and H-O = 0.4861 in donkeys. Of the 15 loci in donkeys, three loci had negative inbreeding coefficients (FIS), with a moderate mean FIS (0.138). The FIS estimate for the HTG4 marker was highest (0.531) and HMS6 marker was lowest (-0.001). The total probability of exclusion value of 15 microsatellite loci was 0.9996 in donkeys. Conclusion: Genetic cluster analysis showed that the genetic relationship among 79 donkeys was generally consistent with pedigree records. Among the three breeds, donkeys and Thoroughbred horses formed clearly different groups, but the group of Jeju Halla horses overlapped with that of Thoroughbred horses, suggesting that the loci would be suitable for donkey parentage testing. Therefore, the results of this study are a valid tool for genetic study and conservation of donkeys. | Kim, Su-Min; Yun, Sung Wook; Cho, Gil-Jae | Kyungpook Natl Univ, Coll Vet Med, Daegu 41566, South Korea; Kyungpook Natl Univ, Inst Equine Med, Daegu 41566, South Korea | ; Yun, Sung-Wook/AAE-6714-2020 | 57216751253; 56316662400; 7201438083 | chogj@knu.ac.kr; | ANIMAL BIOSCIENCE | ANIM BIOSCI | 2765-0189 | 2765-0235 | 34 | 9 | SCIE | AGRICULTURE, DAIRY & ANIMAL SCIENCE | 2021 | N/A | 0.88 | 2025-07-30 | 8 | 11 | Donkey; Horse; Microsatellite Marker; South Korea | INDIGENOUS PIG BREEDS; DOG BREEDS; PARENTAGE; VALIDATION; DIFFERENTIATION; POPULATION | Donkey; Horse; Microsatellite marker; South Korea | English | 2021 | 2021-09 | 10.5713/ab.20.0860 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | Article | Association between Treatment Experiences and Health Status of Patients with Cancer: Results from the Korea National Health and Nutrition Examination Survey in 2015 | Purpose: Patient outcomes should improve through patient involvement and improved interactions with healthcare providers during the care process. This study aimed to examine factors affecting the perceived health status of patients with cancer, focused on their treatment experiences, and explored the differences in treatment-related experiences according to the patients’ characteristics. Methods: This cross-sectional study used the 2015 Korea National Health and Nutrition Examination Survey, which assesses patients’ general characteristics, treatment-related experiences, and perceived health status. Data from 255 cancer survivors aged 19 years or older were used in this study. Descriptive statistics, independent t-tests, and multiple regression were used for the data analyses. Results: Cancer patients’perception of a lower health resulted from the following factors: insufficient information provision during the care process (β=-.13, p=.026), less participation in the treatment-related decision-making (β=-.25, p=.005), and more comorbidities (β=-.31, p=.018). A higher education level (β=.68, p<.001) was associated with higher perceived health status. Th set of significant factors explained 19% of the total variance of the perceived health status. Conclusion: Sufficient information provision during the care process and patients’ participation in treatment-related decision-making affected the perceived health status of cancer patients. Hence, providing cancer patients with information and involving themin decision-making may improve illness self-management capabilities and health status. © 2021 Korean Society of Adult Nursing | Kyung, Lee Myung | College of Nursing, Research Institute of Nursing Science, Kyungpook National University, Daegu, South Korea | 57222479511 | mlee@knu.ac.kr; | Korean Journal of Adult Nursing | 1225-4886 | 33 | 1 | 0 | 2025-07-30 | 0 | Health; Neoplasms; Patient participation; Patient preference; Patient-centered care | English | Final | 2021 | 10.7475/kjan.2021.33.1.67 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Proceedings Paper | Asynchronous Interaction Framework for Verilog Simulation Virtualization on Node.js | This paper proposes a real-time asynchronous web application on NodeJS, which parses the value change dump (VCD) files from servers to JSON (JavaScript Object Notation) files and efficiently communicates waveform simulations to clients, thereby avoiding some inconvenience in using them. As some experiments we conducted have confirmed that the size of the file sent from the server to the client is small, and the on-demand conversion in runtime could be performed within a short amount of time, this is an efficient web application for communication. | Heo, Daeun; Park, Daejin | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea | 57222515768; 55463943600 | boltanut@knu.ac.kr; | 2021 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC) | 0.24 | 2025-07-30 | 0 | 1 | Verilog simulation; asynchronous; digital circuit; NodeJS; virtualization; JSON | Asynchronous; Digital circuit; JSON; NodeJS; Verilog simulation; Virtualization | Virtualization; Asynchronous interaction; Javascript; On demands; Real time; Runtimes; Verilog simulation; Wave forms; WEB application; Electronic document exchange | English | 2021 | 2021 | 10.1109/iceic51217.2021.9369755 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||||
| ○ | Conference paper | Attenuation of torsional vibration in the drivetrain of a wind turbine using a vibration absorber | The drivetrain of wind turbines consists of many complicated rotary elements such as planetary gear, parallel gear train, bearing etc. The drivetrain of the wind turbine are studied with many different modeling techniques in several works. However, the things come to complicated when considering a complete drivetrain of a wind turbine. In this study, conventional and numerical methods will be utilized to analyze the torsional vibration of a sample wind turbine drivetrain. Each element in the drivetain of the sample wind turbine is modeled with a specific inertia or stiffness element. Dynamic characteristics of the drivetrain are investigated with the theoretical method and numerical simulation. Then, the application of vibration absorber to the drivetrain to attenuate the torsional vibration in the system is studied. The optimal configuration and location of the absorber are introduced and the effects of the absorber are investigated. The absorber shows good performance on the torsion vibration reduction for the drivetrain of the sample wind turbine. © INTER-NOISE 2021 .All right reserved. | Lee, Hyeongill; Han, Youkyung; Kim, Byeongil | School of Automotive Engineering, Kyungpook National University, 2559 Gyeongsang-daero, Sangju-si, Gyeongsangbuk-do, 37224, South Korea; Department of Civil Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul, 01811, South Korea; School of Mechanical Engineering, Yeungnam University, 280 Daehak-ro, Gyeongsangbuk-do, Gyeongsan-si, 38541, South Korea | 8261483800; 55457676600; 56843890300 | Proceedings of INTER-NOISE 2021 - 2021 International Congress and Exposition of Noise Control Engineering | 0 | 2025-07-30 | 0 | Elastic waves; Machine vibrations; Numerical methods; Vibration analysis; Dynamics characteristic; Gear train; Modelling techniques; Performance; Planetary Gears; Rotary elements; Theoretical methods; Torsional vibration; Train bearings; Vibration absorber; Wind turbines | English | Final | 2021 | 10.3397/in2021-2449 | 바로가기 | 바로가기 | ||||||||||||||||||||
| ○ | ○ | Article | Atypical presentation of nontuberculous mycobacterial pulmonary infection in a patient with interstitial lung abnormality: A case report | Nontuberculous mycobacterial (NTM) infection is a common and important cause of chronic pulmonary disease, typically characterized by fibrocavitary and nodular-bronchiectatic forms on computed tomography (CT) of the chest. Structural lung disease and the host's immune status can affect NTM pulmonary infections. Herein, we report a rare case of an NTM pulmonary infection with multiple nodules and masses (with internal cavitation) in an immunocompetent patient exhibiting interstitial lung abnormality on a chest CT. | Park, Byunggeon; Park, Jongmin | Kyungpook Natl Univ, Sch Med, Dept Radiol, 680 Gukchaebosang Ro, Daegu 41944, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Radiol, 807 Hogukno, Daegu 41404, South Korea | 57216463879; 57211532915 | jmmpark@gmail.com; | EUROPEAN JOURNAL OF RADIOLOGY OPEN | EUR J RADIOL OPEN | 2352-0477 | 8 | ESCI | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | 2021 | N/A | 0.23 | 2025-07-30 | 1 | 2 | Nontuberculous mycobacteria; Computed tomography; X-ray | CT | Computed tomography; Nontuberculous mycobacteria; X-ray | azithromycin; C reactive protein; ethambutol; procalcitonin; rifampicin; aged; Article; atypical mycobacteriosis; blood oxygen tension; blood pressure; breathing rate; bronchiectasis; case report; clinical article; computer assisted tomography; dry cough; erythrocyte sedimentation rate; female; fever; follow up; granulomatous inflammation; ground glass opacity; heart rate; histology; hospitalization; human; human tissue; immunohistochemistry; interferon gamma release assay; interstitial lung disease; leukocytosis; liver and kidney function test; lung cavitation; lung fibrosis; lung infection; lung nodule; Mycobacterium intracellulare; nonhuman; polymerase chain reaction; reticular opacity; thorax radiography; ultrasound guided fine needle aspiration; very elderly | English | 2021 | 2021 | 10.1016/j.ejro.2021.100353 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||||
| ○ | Article | Automated one-hot eye diseases diagnostic framework using deep-learning techniques | Multiple OCT images from the same patient for ophthalmic disease classification, such as AMD, DME, and Drusen, often conflict with each other in classification. The human doctor makes an experience-based medical decision for inconsistent OCT images, but no neural-network-based approach has been proposed to solve the same problem so far. This paper presents a new machine-learning-based framework that makes the comprehensive one-hot decision on AMD, DME, and Drusen, just like human doctors. In this study, we present a two-step deep machine learning method: In the first step, a classical Deep CNN along with transfer learning is used to make an ophthalmic diagnosis for a single OCT image. In the second step, a new framework, we propose, consisting of several supervised deep machine learning methods makes a comprehensive one-hot decision on eye disease from multiple OCT images. In this framework, we developed an AI model that can make comprehensive judgments from inconsistent results obtained from the same patient. Consequently, we could achieve 94% classification accuracy compared to the human doctor classification. © 2021 The Korean Institute of Electrical Engineers. | Kim, Jiyeon; Han, Yongseop; Lee, Woongsup; Kang, Taeseen; Lee, Seongjin; Kim, Kyong Hoon; Lee, Yeongseop; Kim, Jin Hyun | Dept. of AI Convergence Engineering(BK21), Gyeongsang National University, South Korea; Dept. of Opthalmology, Gyeongsang National University, Institute of Health Science, Gyeongsang National University Changwon Hospital, Changwon, South Korea; Dept. of AI Convergence Engineering(BK21), Gyeongsang National University, South Korea; Dept. of Opthalmology, Gyeongsang National University, Institute of Health Science, Gyeongsang National University Changwon Hospital, Changwon, South Korea; Dept. of AI Convergence Engineering(BK21), Gyeongsang National University, South Korea; School of Computer Science and Engineering, Kyungpook National University, South Korea; Dept. of AI Convergence Engineering(BK21), Gyeongsang National University, South Korea; Dept. of AI Convergence Engineering(BK21), Gyeongsang National University, South Korea | 57226166156; 59100274700; 24776183200; 57020662400; 24824950900; 15065463500; 57219242110; 56242902800 | jin.kim@gnu.ac.kr; | Transactions of the Korean Institute of Electrical Engineers | 1975-8359 | 70 | 7 | 0 | 2025-07-30 | 0 | Automated one-hot diagnosis; Deep learning; OCT image; Ophthalmic disease classification | Diagnosis; Learning systems; Medical imaging; Transfer learning; Classification accuracy; Disease classification; Eye disease; Learning techniques; Machine learning methods; Medical decision making; Network-based approach; OCT images; Deep learning | Korean | Final | 2021 | 10.5370/kiee.2021.70.7.1036 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | ○ | Article | Azohydromonas caseinilytica sp. nov., a Nitrogen-Fixing Bacterium Isolated From Forest Soil by Using Optimized Culture Method | A bacterial strain, designated strain G-1-1-14(T), was isolated from Kyonggi University forest soil during a study of previously uncultured bacterium. The cells of strain G-1-1-14(T) were motile by means of peritrichous flagella, Gram-stain-negative, rod-shaped, and able to grow autotrophically with hydrogen and fix nitrogen. Phylogenetic analysis based on 16S rRNA gene sequence indicated that strain G-1-1-14(T) belonged to the genus Azohydromonas. The closest species of strain G-1-1-14(T) were Azohydromonas ureilytica UCM-80(T) (98.4% sequence similarity), Azohydromonas lata IAM 12599(T) (97.5%), Azohydromonas riparia UCM-11(T) (97.1%), and Azohydromonas australica IAM 12664(T) (97.0%). The genome of strain G-1-1-14(T) was 6,654,139 bp long with 5,865 protein-coding genes. The genome consisted of N-2-fixing genes (nifH) and various regulatory genes for CO2 fixation and H-2 utilization. The principal respiratory quinone was ubiquinone-8, and the major polar lipids were phosphatidylethanolamine, diphosphatidylglycerol, and phosphatidylglycerol. The major fatty acids were summed feature 3 (iso-C-15(:)0 2-OH and/or C-16(:)1 omega 7c), C-16(:)0, summed feature 8 (C-18(:)1 omega 7c and/or C-18(:)1 omega 6c), and cyclo-C-17(:)0. The DNA G + C content was 69.9%. The average nucleotide identity (OrthoANI), in silico DNA-DNA hybridization (dDDH), and conventional DDH relatedness values were below the species demarcation values for novel species. Based on genomic, genetic, phylogenetic, phenotypic, and chemotaxonomic characterizations, strain G-1-1-14(T) represents a novel species within the genus Azohydromonas, for which the name Azohydromonas caseinilytica sp. nov. is proposed. The type strain is G-1-1-14(T) (= KACC 21615(T) = NBRC 114390(T)). | Dahal, Ram Hari; Chaudhary, Dhiraj Kumar; Kim, Dong-Uk; Kim, Jaisoo | Kyonggi Univ, Coll Nat Sci, Dept Life Sci, Suwon, South Korea; Kyungpook Natl Univ, Sch Med, Dept Microbiol, Daegu, South Korea; Korea Univ, Dept Environm Engn, Sejong Campus, Sejong City, South Korea; Sandi Univ, Dept Biol Sci, Coll Sci & Engn, Wonju, South Korea | Dahal, Ram Hari/H-8673-2016; Chaudhary, Dhiraj/S-7772-2016 | 57110097800; 57191257432; 57206099551; 8718834500 | jkimtamu@kgu.ac.kr; | FRONTIERS IN MICROBIOLOGY | 1664-302X | 12 | 1.01 | 2025-07-30 | 18 | 19 | Azohydromonas caseinilytica sp; nov; forest soil; N-2-fixation; CO2 assimilation; next generation sequencing; uncultured bacterium | MULTIPLE SEQUENCE ALIGNMENT; ALGORITHM; GROWTH | Azohydromonas caseinilyticasp. nov; CO<sub>2</sub> assimilation; forest soil; N<sub>2</sub>-fixation; next generation sequencing; uncultured bacterium | RNA 16S; Alcaligenaceae; Article; Azohydromonas caseinilytica; Azohydromonas lata; Azohydromonas riparia; Azohydromonas ureilytica; bacterial gene; bacterium identification; bacterium isolation; chemotaxonomy; controlled study; culture optimization; DNA DNA hybridization; DNA extraction; forest soil; gene cluster; gene sequence; multilocus sequence typing; nitrogen-fixing bacterium; nonhuman; phenotype; phylogenomics; phylogeny; polymerase chain reaction; transmission electron microscopy | English | 2021 | 2021-05-21 | 10.3389/fmicb.2021.647132 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | ○ | Proceedings Paper | Background/Foreground Separation: Guided Attention based Adversarial Modeling (GAAM) versus Robust Subspace Learning Methods | Background-Foreground separation and appearance generation is a fundamental step in many computer vision applications. Existing methods like Robust Subspace Learning (RSL) suffer performance degradation in the presence of challenges like bad weather, illumination variations, occlusion, dynamic backgrounds and intermittent object motion. In the current work we propose a more accurate deep neural network based model for background-foreground separation and complete appearance generation of the foreground objects. Our proposed model, Guided Attention based Adversarial Model (GAAM), can efficiently extract pixel-level boundaries of the foreground objects for improved appearance generation. Unlike RSL methods our model extracts the binary information of foreground objects labeled as attention map which guides our generator network to segment the foreground objects from the complex background information. Wide range of experiments performed on the benchmark CDnet2014 dataset demonstrate the excellent performance of our proposed model. | Sultana, Maryam; Mahmood, Arif; Bouwmans, Thierry; Khan, Muhammad Haris; Jung, Soon Ki | Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea; Informat Technol Univ ITU, Dept Comp Sci, Lahore, Pakistan; Univ LaRochelle, Lab MIA, La Rochelle, France; Mohamed Bin Zayed Univ Artificial Intelligence, Abu Dhabi, U Arab Emirates | Jung, Soon Ki/P-7687-2018; BOUWMANS, Thierry/H-7041-2017; Mahmood, Arif/R-7949-2019 | 57196402440; 55636036300; 25631832300; 56461698500; 57226791905 | maryam@knu.ac.kr;arif.mahmood@itu.edu.pk;thierry.bouwmans@univ-lr.fr;muhammad.haris@mbzual.ac.ae;skjung@knu.ac.kr; | 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021) | 2473-9936 | 0.06 | 2025-07-30 | 2 | 2 | NETWORK | Benchmarking; Computer vision; Deep neural networks; 'current; Computer vision applications; Dynamic background; Foreground objects; Illumination variation; Learning methods; Network-based modeling; Object motion; Performance degradation; Subspace learning; Separation | English | 2021 | 2021 | 10.1109/iccvw54120.2021.00025 | 바로가기 | 바로가기 | 바로가기 | |||||||||||||
| ○ | Article | Balance impairment caused by diazepam in 2 dogs with vestibular disease: case reports | Following intravenous (IV) administration of diazepam as a preanesthetic agent, sudden balance impairment, such as falling, leaning, and rolling, was identified in 2 canine cases. The 2 dogs were anesthetized for brain magnetic resonance scan to diagnose about a history of head tilt. After end of the diagnostic procedures, during the anesthetic recovery period, balance impairment was also observed. However, the symptoms gradually ceased by IV administration of flumazenil. These 2 canine cases indicated that diazepam premedication was responsible for the acute balance impairment. © 2021 The Korean Society of Veterinary Science. | Kim, Hyunseok; Son, Won-Gyun; Lee, Inhyung; Jang, Min | Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Seoul National University, Seoul, 08826, South Korea, Ian Animal Medical Center, Seoul, 06014, South Korea; Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Seoul National University, Seoul, 08826, South Korea; Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Seoul National University, Seoul, 08826, South Korea; Department of Veterinary Surgery, College of Veterinary Medicine, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu, 41566, South Korea, Department of Veterinary Surgery, College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea | 57195296393; 35976781200; 7404441607; 55341507600 | jangmin@knu.ac.kr; | Korean Journal of Veterinary Research | 2466-1384 | 61 | 4 | 0 | 2025-07-30 | 0 | Diazepam; Falling; Flumazenil; Leaning; Rolling | English | Final | 2021 | 10.14405/kjvr.2021.61.e35 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Proceedings Paper | BI-LSTM-LSTM Based Time Series Electricity Consumption Forecast for South Korea | Gul, Malik Junaid Jami; Firmansyah, M. Hafid; Rho, Seungmin; Paul, Anand | Kyungpook Natl Univ, Dept Comp Sci & Engn, Daegu, South Korea; Sejong Univ, Dept Software, Innovat Ctr 621, Seoul, South Korea | Rho, Seungmin/HTP-6683-2023; Gul, Malik/O-1392-2018; Gul, Malik junaid jami/O-1392-2018 | junaidgul@live.com.pk;hafid@knu.ac.kr;smrho@sejong.edu; | ADVANCES IN ARTIFICIAL INTELLIGENCE AND APPLIED COGNITIVE COMPUTING | 2569-7072 | 2569-7080 | 3 | English | 2021 | 2021 | 10.1007/978-3-030-70296-0_71 | 바로가기 | 바로가기 | |||||||||||||||||||||
| ○ | ○ | Proceedings Paper | Binary Classification for Linear Approximated ECG Signal in IoT Embedded Edge Device | Abnormal beat detection in electrocardiogram (ECG) signal is an important research subject. Abnormal beat detection can be used effectively for adaptive signal compression according to normal/abnormal beat, and it enable to save time and cost of arrhythmia diagnosis by providing the detected abnormal beats to cardiologist. However, the fiducial point detection for feature value extraction has low reliability and is difficult to implement in embedded edge devices due to the auxiliary signal acquisition and complex algorithm for detection. In this study, we propose a method that expresses a signal as a small number of vertices using linear approximation and detects an abnormal beat quickly and reliably using the feature value of vertices. The proposed method is based on the similar distribution of feature values of the approximate vertices for the same type of beat. As a result of an experiment on a record containing premature ventricular contraction (PVC) whose shape was deformed from a normal beat, we confirmed that the proposed algorithm enable to detect whole abnormal beat correctly. | Lee, Seungmin; Lee, Dongkyu; Park, Daejin | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea | 57200005388; 55698915100; 55463943600 | boltanut@knu.ac.kr; | 12TH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2021) | 2165-8528 | 2165-8536 | 0 | 2025-07-30 | 0 | 0 | electrocardiogram; binary classifier; linear approximation; embedded device | binary classifier; electrocardiogram; embedded device; linear approximation | Biomedical signal processing; Feature extraction; Internet of things; Adaptive signals; Beat detection; Binary classification; Binary classifiers; Electrocardiogram signal; Embedded device; Feature values; Linear approximations; Research subjects; Signal compression; Electrocardiography | English | 2021 | 2021 | 10.1109/icufn49451.2021.9528670 | 바로가기 | 바로가기 | 바로가기 |
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