연구성과로 돌아가기

2022 연구성과 (170 / 280)

※ 컨트롤 + 클릭으로 열별 다중 정렬 가능합니다.
Excel 다운로드
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
Article Full-Parallax Multiview Generation with High-Speed Wide-Angle Dual-Axis Scanning Optics Three-dimensional displays are receiving considerable attention owing to their ability to deliver realistic content. Particularly, a multiview display with temporal multiplexing offers advantages in terms of fewer restrictions for optical alignment and flexibility in forming view density. However, most of studies realize horizontal parallax-only multiview display. In a horizontal parallax-only multiview display the content is distorted in the vertical direction as the observer changes the viewing distance. It is helpful to understand this phenomenon using the Wigner distribution function (WDF). In this study, we divided the viewing zone (VZ) into the sub-viewing zone and integrated viewing zone according to the number of views of the observer. Specifically, the changes in the contents are experimentally evaluated at different viewing distances to validate our expectation. For the experiment, we implemented a full-parallax multiview display with spherical symmetry and designed a high-speed wide-angle dual-axis scanner. This scanner comprises two single-axis scanners connected by high numerical-aperture scanning optics. The proposed system and WDF analysis of VZ will be helpful to evaluate the characteristics of the multiview system. Heo, Daerak; Lim, Sungjin; Lee, Gunhee; Choi, Geunseop; Hahn, Joonku Kyungpook Natl Univ, Sch Elect & Elect Engn, 80 Daehak Ro, Daegu 41566, South Korea 57197871664; 56706721300; 57687190900; 57197870410; 10142501600 qnehdauddnjf@knu.ac.kr;dlatjdwls0326@knu.ac.kr;gunhee7765@knu.ac.kr;geun4537@knu.ac.kr;jhahn@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 12 9 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2022 2.7 46.1 0.09 2025-06-25 1 1 multiview display; three-dimensional display; temporal multiplexing; dual-axis scanner LIGHT-FIELD; DISPLAY; SCREEN; ARRAY dual-axis scanner; multiview display; temporal multiplexing; three-dimensional display English 2022 2022-05 10.3390/app12094615 바로가기 바로가기 바로가기 바로가기
Article GATA25, a novel regulator, accelerates the flowering time of Arabidopsis thaliana Intrinsic and exogenous signals in conjunction precisely regulate the initiation of flowering. Both signals influence flowering time, which is an integral part of plant reproduction. The signals converge through different pathways, and their coordinated action leads to the onset of flowering. Genetic pathways related to the regulation of flowering time are well-known from research into the molecular genetics of Arabidopsis thaliana. Specifically, crucial components of the photoperiodic pathway and floral integrators play a critically significant role in flowering. In this study, we found that GATA25 is a novel transcription factor that accelerates flowering time under long days. GATA25 encodes C-X-2-C-X-20-C-X-2-C conserved cysteine residues of the zinc-finger domain and CCT domain which process photoperiodic flowering and regulate circadian rhythms. Flowering was accelerated by overexpression of GATA25 throughout the Arabidopsis thaliana. In contrast, GATA25 fused to SRDX (SUPERMAN repressive domain X)-motif plants showed delayed flowering. We also demonstrated that GATA25 induced the expression of floral integrator genes and photoperiodic pathway-related genes. Together, these results suggest that GATA25 might act to accelerate flowering time. Kim, Kihwan; Lee, Jooeun; Kim, Byeonggyu; Shin, Juhyung; Kang, Tae-An; Kim, Won-Chan Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Integrat Biol, Daegu 41566, South Korea KIM, WON/AAJ-4506-2020 57210357476; 57897128100; 57222988339; 57222983867; 57652386200; 55492085000 kwc@knu.ac.kr; APPLIED BIOLOGICAL CHEMISTRY APPL BIOL CHEM 2468-0834 2468-0842 65 1 SCIE FOOD SCIENCE & TECHNOLOGY 2022 3.2 46.1 0.89 2025-06-25 11 11 Arabidopsis thaliana; Flowering; Floral integrators; GATA25; Photoperiodic pathway PLANT TRANSCRIPTION FACTORS; FLORAL INDUCTION; GENE-EXPRESSION; CIRCADIAN CLOCK; EAR MOTIF; LOCUS-T; CONSTANS; REPRESSION; HOMOLOG; PROTEIN Arabidopsis thaliana; Floral integrators; Flowering; GATA25; Photoperiodic pathway Amino acids; C (programming language); Cell proliferation; Molecular biology; Plants (botany); Arabidopsis thaliana; Coordinated actions; Floral integrator; Flowering; Flowering-time; GATA25; Genetic pathways; Integral part; Photoperiodic pathways; Plant reproduction; Transcription English 2022 2022-12 10.1186/s13765-022-00698-7 바로가기 바로가기 바로가기 바로가기
Article Hierarchical Federated Learning for Edge-Aided Unmanned Aerial Vehicle Networks Federated learning (FL) allows UAVs to collaboratively train a globally shared machine learning model while locally preserving their private data. Recently, the FL in edge-aided unmanned aerial vehicle (UAV) networks has drawn an upsurge of research interest due to a bursting increase in heterogeneous data acquired by UAVs and the need to build the global model with privacy; however, a critical issue is how to deal with the non-independent and identically distributed (non-i.i.d.) nature of heterogeneous data while ensuring the convergence of learning. To effectively address this challenging issue, this paper proposes a novel and high-performing FL scheme, namely, the hierarchical FL algorithm, for the edge-aided UAV network, which exploits the edge servers located in base stations as intermediate aggregators with employing commonly shared data. Experiment results demonstrate that the proposed hierarchical FL algorithm outperforms several baseline FL algorithms and exhibits better convergence behavior. Tursunboev, Jamshid; Kang, Yong-Sung; Huh, Sung-Bum; Lim, Dong-Woo; Kang, Jae-Mo; Jung, Heechul Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea; WOOJIN Elect Machinery, 9,Igok Ro,1 Gil, Cheongju 28047, Chuncheongbuk D, South Korea; Elect & Telecommun Res Inst, Radio & Satellite Res Div, Daejeon 34129, South Korea ; Jung, Heechul/HTL-7199-2023 57410135900; 57411013700; 57410136000; 55694295300; 56024930400; 55652175200 tursunboevjamshid@gmail.com;yskang@wjis.co.kr;sbhur@wjis.co.kr;window0508@etri.re.kr;jmkang@knu.ac.kr;heechul@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 12 2 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2022 2.7 46.1 2.36 2025-06-25 26 29 unmanned aerial vehicles; edge-aided networks; federated learning; hierarchical learning COST Edge-aided networks; Federated learning; Hierarchical learning; Unmanned aerial vehicles English 2022 2022-01 10.3390/app12020670 바로가기 바로가기 바로가기 바로가기
Article Illuminant Adaptive Wideband Image Synthesis Using Separated Base-Detail Layer Fusion Maps In this study, we present a wideband image synthesis technique for day and night object identification. To synthesize the visible and near-infrared images, a base component and a detailed component are first decomposed using a bilateral filter, and the detailed component is synthesized using a local variance map. In addition, considering the difference in the near-infrared image characteristics between daytime and nighttime, the base components are synthesized using a luminance saturation region map and depth and penetration map using a joint bilateral filter. The proposed method overcomes the partial over- or under-exposure caused by sunlight and infrared auxiliary light, which is experienced variously in wideband imaging, and improves the identification of objects in various indoor and outdoor images compared with that achieved by existing methods by emphasizing detailed components. Park, Cheul-Woo; Kwon, Hyuk-Ju; Lee, Sung-Hak Kyungpook Natl Univ, Sch Elect & Elect Engn, 80 Deahakro, Daegu 702701, South Korea 57927907500; 55169908300; 7601395661 shak2@ee.knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 12 19 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2022 2.7 46.1 0.09 2025-06-25 1 1 visible and near-infrared image fusion; joint bilateral filter; base-detail layer decomposition; IR switching image; color correction PHOTOGRAPHY; FLASH base-detail layer decomposition; color correction; IR switching image; joint bilateral filter; visible and near-infrared image fusion English 2022 2022-10 10.3390/app12199441 바로가기 바로가기 바로가기 바로가기
Article Image Forensics Using Non-Reducing Convolutional Neural Network for Consecutive Dual Operators Digital image forensics has become necessary as an emerging technology. Images can be adulterated effortlessly using image tools. The latest techniques are available to detect whether an image is adulterated by a particular operator. Most of the existing techniques are suitable for high resolution and manipulated images by a single operator. In a real scenario, multiple operators are applied to manipulate the image many times. In this paper, a robust moderate-sized convolutional neural network is proposed to identify manipulation operators and also the operator's sequence for two operators in particular. The proposed bottleneck approach is used to make the network deeper and reduce the computational cost. Only one pooling layer, called a global averaging pooling layer, is utilized to retain the maximum flow of information and to avoid the overfitting issue between the layers. The proposed network is also robust against low resolution and JPEG compressed images. Even though the detection of the operator is challenging due to the limited availability of statistical information in low resolution and JPEG compressed images, the proposed model can also detect an operator with different parameters and compression quality factors that are not considered in training. Cho, Se-Hyun; Agarwal, Saurabh; Koh, Seok-Joo; Jung, Ki-Hyun Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea; Amity Univ, Sch Engn & Technol, Noida 201301, Uttar Pradesh, India; Kyungil Univ, Dept Cyber Secur, Gyongsan 38424, South Korea ; Agarwal, Saurabh/AAC-5460-2020 57877582800; 57190606444; 8958394800; 32367673200 csh831219@knu.ac.kr;sagarwal7@amity.edu;sjkoh@knu.ac.kr;kingjung@kiu.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 12 14 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2022 2.7 46.1 0.44 2025-06-25 4 5 image forensics; image operator sequence; convolutional neural network; image manipulation; image forgery detection; deep learning technique convolutional neural network; deep learning technique; image forensics; image forgery detection; image manipulation; image operator sequence English 2022 2022-07 10.3390/app12147152 바로가기 바로가기 바로가기 바로가기
Review Impact of Virtual Reality-Based Design Review System on User's Performance and Cognitive Behavior for Building Design Review Tasks Virtual reality (VR) can potentially enhance various design and construction assessment intensive tasks, such as construction design and review. However, it may lead to cognitive overload, adversely affecting the participants' performance. It is critical to understand the effects of VR cognitive behavior for implementing VR technology in the construction industry. The principal objective of this study was to investigate the participants' cognitive load (CL), task performance (TP), and situational awareness (SA) in the VR environment for the evaluation of building design review tasks. Participants were asked to review the design task based on their memory knowledge and understanding in one of the three environments: paper-based, monitor-based, and immersive virtual environment. Participants' CL was measured using the National Aeronautics and Space Administration Task Load Index (NASA TLX), TP was evaluated on completion time and the number of errors correctly detected, and situational awareness (SA) was assessed using the Situational Awareness and Review Technique (SART). The statistical results show a high CL and better performance in the immersive virtual environment. These findings can contribute to a better understanding of cognitive process characteristics and capabilities for design review activities in the VR environment. Umair, Muhammad; Sharafat, Abubakar; Lee, Dong-Eun; Seo, Jongwon Natl Univ Sci & Technol NUST, Dept Construct Engn & Management, Risalpur 24080, Pakistan; Kyungpook Natl Univ, Sch Architectural Civil Environm & Energy Engn, Daegu 41566, South Korea; Hanyang Univ, Dept Civil & Environm Engn, Seoul 04763, South Korea ; Sharafat, Abubakar/ITW-2048-2023; Umair, Muhammad/IQV-9289-2023 57206202199; 57204630290; 56605563300; 7401783784 umairchughata@gmail.com;abubakarsharafat89@gmail.com;dolee@knu.ac.kr;jseo@hanyang.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 12 14 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2022 2.7 46.1 2.8 2025-06-25 26 32 virtual reality; BIM; design review; cognitive load; task performance; immersive virtual reality AUGMENTED REALITY; INSTRUCTIONAL-DESIGN; LOAD THEORY; CONSTRUCTION; ENVIRONMENT; BIM BIM; cognitive load; design review; immersive virtual reality; task performance; virtual reality English 2022 2022-07 10.3390/app12147249 바로가기 바로가기 바로가기 바로가기
Article Inhibition of TP53 Mutant Oral Cancer by Reactivating p53 Background: Mutation of p53 is a frequent event, and mutant p53 exhibits low levels of acetylation and phosphorylation. This study aimed to investigate the effect of the histone deacetylase (HDAC) inhibitor, 4-hexylresorcinol (4HR), on the acetylation and phosphorylation of mutant p53 carcinoma cells and its therapeutic effects in a xenograft model. Methods: To determine the effect of 4HR on the acetylation and phosphorylation of p53, western blot analysis was performed using YD-9 and YD-15 cells. p53 siRNA was used to examine whether 4HR acts in a p53-dependent or independent manner. This was evaluated using a xenograft model. Results: In in vitro experiments when the concentration of 4HR was increased, the expression levels of HDAC4, acetylated p53 (Ac-p53), and phosphorylated p53 (p-p53) increased. Transfection with TP53 siRNA successfully suppressed p53 protein and TP53 mRNA expression. When 4HR was administered to a xenograft model, the tumour expansion rate was suppressed compared with the control, and the mice exhibited a higher survival rate. Conclusions: Our findings reveal that 4HR is a potential agent that restores loss of function in mutant p53 cancer cells via acetylation and phosphorylation of p53 as well as inhibition of HDAC4. Kang, Yei-Jin; Kim, Dae-Won; Che, Xiangguo; Choi, Je-Yong; Kim, Seong-Gon Gangneung Wonju Natl Univ, Dept Oral & Maxillofacial Surg, Kangnung 25457, South Korea; Gangneung Wonju Natl Univ, Coll Dent, Dept Oral Biochem, Kangnung 28644, South Korea; Kyungpook Natl Univ, Sch Med, Korea Mouse Phenotyping Ctr, Dept Biochem & Cell Biol,Cell & Matrix Res Inst, Daegu 41944, South Korea ; Kim, Seong-Gon/AAF-7553-2020; Choi, Je-Yong/AAR-7334-2021 57211458783; 56194913400; 54792660600; 7501391068; 27171913700 kyj292@hanmail.net;kimdw@gwnu.ac.kr;xiangguo0622@naver.com;jechoi@knu.ac.kr;kimsg@gwnu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 12 12 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2022 2.7 46.1 0.26 2025-06-25 2 3 4-hexylresorcinol; p53; phosphorylation; acetylation POSTTRANSLATIONAL MODIFICATIONS; 4-HEXYLRESORCINOL; PHOSPHORYLATION; APOPTOSIS; ACTIVATION; CISPLATIN 4-hexylresorcinol; acetylation; p53; phosphorylation English 2022 2022-06 10.3390/app12125921 바로가기 바로가기 바로가기 바로가기
Article Inhibitory Effect of Coumarins and Isocoumarins Isolated from the Stems and Branches of Acer mono Maxim. against Escherichia coli β-Glucuronidase We isolated eight known secondary metabolites, including two isocoumarins and six coumarins, from the stems and branches of Acer mono Maxim. Their structures were confirmed using nuclear magnetic resonance spectroscopy and by comparing the data to published reports. The inhibitory effects of all compounds (1-8) on Escherichia coli beta-glucuronidase were evaluated for the first time using in vitro assays. 3-(3,4-Dihydroxyphenyl)-8-hydroxyisocoumarin (1) displayed an inhibitory effect against beta-glucuronidase (IC50 = 58.83 +/- 1.36 mu M). According to the findings of kinetic studies, compound 1 could function as a non-competitive inhibitor. Molecular docking indicated that compound 1 binds to the allosteric binding site of beta-glucuronidase, and the results corroborated those from kinetic studies. Furthermore, molecular dynamics simulations of compound 1 were performed to identify the behavioral and dynamic properties of the protein-ligand complex. Our results reveal that compound 1 could be a lead metabolite for designing new beta-glucuronidase inhibitors. Phong, Nguyen Viet; Min, Byung Sun; Yang, Seo Young; Kim, Jeong Ah Kyungpook Natl Univ, Coll Pharm, Vessel Organ Interact Res Ctr, VOICE MRC, Daegu 41566, South Korea; Kyungpook Natl Univ, Coll Pharm, BK21 FOUR Community Based Intelligent Novel Drug, Daegu 41566, South Korea; Kyungpook Natl Univ, Res Inst Pharmaceut Sci, Daegu 41566, South Korea; Daegu Catholic Univ, Coll Pharm, Drug Res & Dev Ctr, Gyongsan 38430, South Korea; Sangji Univ, Dept Pharmaceut Engn, Wonju 26339, South Korea Nguyen, Viet Phong/AAQ-4207-2021 57205196739; 55663638200; 57215036954; 24722570900 syyang@sangji.ac.kr;jkim6923@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 12 20 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2022 2.7 46.1 0.7 2025-06-25 8 8 Acer mono Maxim; isocoumarins; beta-glucuronidase; non-competitive inhibitor; allosteric binding site; molecular dynamics STILBENE GLYCOSIDES Acer monoMaxim; allosteric binding site; isocoumarins; molecular dynamics; non-competitive inhibitor; β-glucuronidase English 2022 2022-10 10.3390/app122010685 바로가기 바로가기 바로가기 바로가기
Article Isolation and Screening of Odor-Reducing Microbes from Swine Manure and Its Role in Reducing Ammonia Release in Combination with Surfactant Foam Swine farming facilities have increased the production of malodorous gases, which negatively affects people. Hence, we developed a new feasible bio-foam technology wherein long-lasting surfactant foam, including bacteria, were sprayed on swine manure. The surfactant foam acted as a physical barrier, suppressing NH3 release, and the aqueous-phase bacteria formed after foam breaking infiltrated in manure and degraded NH3. In this study, we first isolated NH3-degrading bacteria from swine manure. A bacterial consortium was prepared using the effective NH3-degrading strains Saccharomyces cerevisiae NRRL Y-12632 (99.88%) (TP1), Lactococcus lactis subsp. hordniae NBRC100931(T) (99.93%) (TP3), and Lactobacillus argentoratensis DSM 16365(T) (100%) (TP5). The surfactant foam used in this study was a dry foam (foam quality 98.5-99.0% and foam density 0.025-0.026 g/cm(3)), with a foam expansion of 110-112 and high foamability. Large bubbles were generated with a bubble density of 1 bubble/cm(2) and a foam lamella thickness of 0.12 mm. In a lab-scale study, foam was sprayed onto NH3-contaminated soil or real swine manure, which reduced the NH3 emission from the source (soil/manure) almost completely (97-100%), but NH3 was re-emitted after foam breaking (5 h: open reactor, 7 h: closed reactor). After loading the bacteria on the foam, the initial NH3 odor suppression was similar to that of the foam alone. However, NH3 was effectively reduced by microbial degradation even after foam breaking. Complete odor degradation was observed after 3 days (72 h; 90-100% reduction) for the NH3-contaminated soil, and 97.7% NH3 in the swine manure was reduced in 24 h. Furthermore, the reagent cost for preparing stable foam was reasonable, indicating its possible field extension. Bajagain, Rishikesh; Gautam, Prakash; Thi Tuyet Nhan Le; Dahal, Ram Hari; Kim, Jaisoo; Jeong, Seung-Woo Kunsan Natl Univ, Dept Environm Engn, Gunsan 54150, South Korea; Kyonggi Univ, Dept Life Sci, Suwon 16227, South Korea; Kyungpook Natl Univ, Sch Med, Dept Microbiol, Daegu 41944, South Korea ; Bajagain, Rishikesh/ABB-2253-2020; Gautam, Prakash/ABB-2270-2020; Jeong, Seung-Woo/M-5500-2019; Dahal, Ram Hari/H-8673-2016 57201025243; 57209535783; 57450599400; 57110097800; 8718834500; 7402425257 rbajagain@gmail.com;prakash02gautam@gmail.com;nhanle@kyonggi.ac.kr;ramhari.dahal@knu.ac.kr;jkimtamu@kyonggi.ac.kr;swjeong@kunsan.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 12 4 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2022 2.7 46.1 0.96 2025-06-25 11 11 malodor; surfactant foam; odor suppression; bio-degradation; feasibility; infiltration; surfactant; stability; surface tension; foam application; foam cover technology EMISSIONS; REMOVAL; GAS; HEALTH; NH3; AIR; H2S Bio-degradation; Feasibility; Foam application; Foam cover technology; Infiltration; Malodor; Odor suppression; Stability; Surface tension; Surfactant; Surfactant foam English 2022 2022-02 10.3390/app12041806 바로가기 바로가기 바로가기 바로가기
Article Joint Semantic Understanding with a Multilevel Branch for Driving Perception Visual perception is a critical task for autonomous driving. Understanding the driving environment in real time can assist a vehicle in driving safely. In this study, we proposed a multi-task learning framework for simultaneous traffic object detection, drivable area segmentation, and lane line segmentation in an efficient way. Our network encoder extracts features from an input image and three decoders at multilevel branches handle specific tasks. The decoders share the feature maps with more similar tasks for joint semantic understanding. Multiple loss functions are automatically weighted summed to learn multiple objectives simultaneously. We demonstrate the effectiveness of this framework on a BerkeleyDeepDrive100K (BDD100K) dataset. In the experiment, the proposed method outperforms the competing multi-task and single-task methods in terms of accuracy and maintains a real-time inference at more than 37 frames per second. Lee, Dong-Gyu; Kim, Yoon-Ki Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea; Cyber Univ Korea, Dept Future Convergence, Seoul 03051, South Korea 57169003900; 57540045700 dglee@knu.ac.kr;ykkim77@cuk.edu; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 12 6 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2022 2.7 46.1 0.79 2025-06-25 7 9 joint semantic understanding; multi-level branch network; drivable area segmentation; lane line segmentation; traffic object detection; real-time inference; multi-task learning Drivable area segmentation; Joint semantic understanding; Lane line segmentation; Multi-level branch network; Multi-task learning; Real-time inference; Traffic object detection English 2022 2022-03 10.3390/app12062877 바로가기 바로가기 바로가기 바로가기
Article Late Fusion-Based Video Transformer for Facial Micro-Expression Recognition In this article, we propose a novel model for facial micro-expression (FME) recognition. The proposed model basically comprises a transformer, which is recently used for computer vision and has never been used for FME recognition. A transformer requires a huge amount of data compared to a convolution neural network. Then, we use motion features, such as optical flow and late fusion to complement the lack of FME dataset. The proposed method was verified and evaluated using the SMIC and CASME II datasets. Our approach achieved state-of-the-art (SOTA) performance of 0.7447 and 73.17% in SMIC in terms of unweighted F1 score (UF1) and accuracy (Acc.), respectively, which are 0.31 and 1.8% higher than previous SOTA. Furthermore, UF1 of 0.7106 and Acc. of 70.68% were shown in the CASME II experiment, which are comparable with SOTA. Hong, Jiuk; Lee, Chaehyeon; Jung, Heechul Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 37224, South Korea Jung, Heechul/HTL-7199-2023; Lee, Chae Yeon/HHS-3863-2022 57353688600; 57222731243; 55652175200 hong4497@knu.ac.kr;123456ccdd@knu.ac.kr;heechul@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 12 3 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2022 2.7 46.1 1.57 2025-06-25 15 20 deep learning; image processing; facial micro-expression; emotion recognition; vision transformer Deep learning; Emotion recognition; Facial micro-expression; Image processing; Vision transformer English 2022 2022-02 10.3390/app12031169 바로가기 바로가기 바로가기 바로가기
Article Leakage Current Mitigation of Photovoltaic System Using Optimized Predictive Control for Improved Efficiency This paper proposes an optimized predictive control strategy to mitigate the potential leakage current of grid-tied photovoltaic (PV) systems to improve the lifespans of PV modules. In this work, the PV system is controlled with an optimized predictive control algorithm that selects the switching voltage vectors intelligently to reduce the number of computational burdens. Thus, it improves the dynamic performance of the overall system. This is achieved through a specific cost function that minimizes the change in common-mode voltage generated by the parasitic capacitance of PV modules. The proposed controller does not require any additional modulation schemes. Normalization techniques and weighting factors are incorporated to obtain improved results. The steady state and dynamic performance of the proposed control scheme is validated in this work through simulations and a 600 W experimental laboratory prototype. Routray, Abhinandan; Hur, Sung-Ho Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea ROUTRAY, ABHINANDAN/IVU-9009-2023 57200499011; 36455858700 abhinandan@knu.ac.kr;hur.s.h@ieee.org;shur@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 12 2 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2022 2.7 46.1 0.52 2025-06-25 4 6 predictive control; leakage current; PV; optimization; MLI INVERTERS; MODE Leakage current; MLI; Optimization; Predictive control; PV English 2022 2022-01 10.3390/app12020643 바로가기 바로가기 바로가기 바로가기
Article Learned Semantic Index Structure Using Knowledge Graph Embedding and Density-Based Spatial Clustering Techniques Recently, a pragmatic approach toward achieving semantic search has made significant progress with knowledge graph embedding (KGE). Although many standards, methods, and technologies are applicable to the linked open data (LOD) cloud, there are still several ongoing problems in this area. As LOD are modeled as resource description framework (RDF) graphs, we cannot directly adopt existing solutions from database management or information retrieval systems. This study addresses the issue of efficient LOD annotation organization, retrieval, and evaluation. We propose a hybrid strategy between the index and distributed approaches based on KGE to increase join query performance. Using a learned semantic index structure for semantic search, we can efficiently discover interlinked data distributed across multiple resources. Because this approach rapidly prunes numerous false hits, the performance of join query processing is remarkably improved. The performance of the proposed index structure is compared with some existing methods on real RDF datasets. As a result, the proposed indexing method outperforms existing methods due to its ability to prune a lot of unnecessary data scanned during semantic searching. Sun, Yuxiang; Chun, Seok-Ju; Lee, Yongju Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea; Seoul Natl Univ Educ, Dept Comp Educ, Seoul 06639, South Korea 57202927837; 7202148268; 57207015176 syx921120@gmail.com;chunsj@snue.ac.kr;yongju@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 12 13 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2022 2.7 46.1 0.52 2025-06-25 6 6 semantic search; learned semantic index; knowledge graph embedding; linked open data; clustering techniques clustering techniques; knowledge graph embedding; learned semantic index; linked open data; semantic search English 2022 2022-07 10.3390/app12136713 바로가기 바로가기 바로가기 바로가기
Article Lightweight Deep Learning for Road Environment Recognition Featured Application The system proposed in this paper provides a new idea for the recognition algorithm of road environments in safety-assisted driving systems, and subsequently improves the existing algorithm to reduce the computational cost and improve accuracy. With recent developments in the field of autonomous driving, recognition algorithms for road environments are being developed very rapidly. Currently, most of the network models have good recognition rates, but as the accuracy rate increases, the models become more complex and thus lack real-time performance. Therefore, there is an urgent need to propose a lightweight recognition system for road environments to assist autonomous driving. We propose a lightweight road environment recognition system with two different detection routes based on the same backbone network for objects and lane lines. The proposed approach uses MobileNet as the backbone network to acquire the feature layer, and our improved YOLOv4 and U-Net allows the number of parameters of the model to be greatly reduced and combined with the improved attention mechanism. The lightweight residual convolutional attention network (LRCA-Net) proposed in this work allows the network to adaptively pay attention to the feature details that need attention, which improves the detection accuracy. Finally, the object detection model and the lane line detection model of this lightweight road environment detection system evaluated on the PASCAL VOC dataset and the Highway Driving dataset show that their mAP and mIoU reach 93.2% and 93.3%, respectively, achieving excellent performance compared to other methods. Liang, Han; Seo, Suyoung Kyungpook Natl Univ, Dept Civil Engn, Daegu 41566, South Korea Seo, Suyoung/AAB-8465-2020; Liang, Han/HPC-7877-2023 57222620902; 35198914000 shto613@knu.ac.kr;syseo@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 12 6 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2022 2.7 46.1 0.7 2025-06-25 7 8 object detection; lane detection; attention mechanism; lightweight network LANE DETECTION attention mechanism; lane detection; lightweight network; object detection English 2022 2022-03 10.3390/app12063168 바로가기 바로가기 바로가기 바로가기
Correction Line-Detection Based on the Sum of Gradient Angle Differences (vol 10, 254, 2020) Seo, Suyoung Kyungpook Natl Univ, Dept Civil Engn, Daegu 41566, South Korea Seo, Suyoung/AAB-8465-2020 35198914000 syseo@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 12 12 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2022 2.7 46.1 0 2025-06-25 0 0 English 2022 2022-06 10.3390/app12125865 바로가기 바로가기 바로가기 바로가기
페이지 이동:

논문 데이터 용어 설명

용어 설명
WoS Web of Science. Clarivate Analytics에서 제공하는 학술 데이터베이스입니다. 해당 논문이 WoS에 수록되어 있는지 여부를 표시합니다 (○: 수록됨).
SCOPUS Elsevier에서 제공하는 세계 최대 규모의 초록 및 인용 데이터베이스입니다. 해당 논문이 SCOPUS에 수록되어 있는지 여부를 표시합니다 (○: 수록됨).
Document Type 문헌의 유형을 나타냅니다. Article(원저), Review(리뷰), Proceeding Paper(학회논문), Editorial Material(편집자료), Letter(레터) 등으로 분류됩니다.
Title 논문의 제목입니다.
Abstract 논문의 초록(요약)입니다. 연구의 목적, 방법, 결과, 결론을 간략히 요약한 내용입니다.
Authors 논문의 저자 목록입니다. 공동 저자가 여러 명인 경우 세미콜론(;)으로 구분됩니다.
Affiliation 저자들의 소속 기관 정보입니다. 대학, 연구소, 기업 등 저자가 소속된 기관명이 표시됩니다.
ResearcherID (WoS) Web of Science의 고유 연구자 식별번호입니다. 동명이인을 구분하고 연구자의 업적을 정확하게 추적할 수 있습니다.
AuthorsID (SCOPUS) SCOPUS의 고유 저자 식별번호입니다. 연구자의 모든 출판물을 추적하고 관리하는 데 사용됩니다.
Journal 논문이 게재된 학술지의 정식 명칭입니다.
JCR Abbreviation Journal Citation Reports에서 사용하는 저널의 공식 약어입니다. 저널을 간략하게 표기할 때 사용됩니다.
ISSN International Standard Serial Number. 국제표준연속간행물번호로, 인쇄본 저널에 부여되는 고유 식별번호입니다.
eISSN Electronic ISSN. 전자 버전 저널에 부여되는 고유 식별번호입니다.
Volume 저널의 권(Volume) 번호입니다. 보통 연도별로 하나의 권이 부여됩니다.
Issue 저널의 호(Issue) 번호입니다. 한 권 내에서 여러 호로 나누어 출판되는 경우가 많습니다.
WoS Edition Web of Science의 에디션입니다. SCIE(Science Citation Index Expanded), SSCI(Social Sciences Citation Index), AHCI(Arts & Humanities Citation Index) 등으로 구분됩니다.
WoS Category Web of Science의 주제 분류 카테고리입니다. 저널과 논문이 속한 학문 분야를 나타냅니다.
JCR Year 해당 저널의 JCR(Journal Citation Reports) 지표가 산출된 연도입니다.
IF (Impact Factor) 저널 영향력 지수. 최근 2년간 발표된 논문이 해당 연도에 평균적으로 인용된 횟수를 나타냅니다. 저널의 학술적 영향력을 나타내는 대표적인 지표입니다.
JCR (%) 해당 카테고리에서 저널이 위치하는 상위 백분율입니다. 값이 낮을수록 우수한 저널임을 의미합니다 (예: 5%는 상위 5%를 의미).
FWCI Field-Weighted Citation Impact. 분야별 가중 인용 영향력 지수입니다. 논문이 받은 인용을 동일 분야, 동일 연도, 동일 문헌 유형의 평균과 비교한 값입니다. 1.0이 평균이며, 1.0보다 높으면 평균 이상의 인용을 받았음을 의미합니다.
FWCI UpdateDate FWCI 값이 마지막으로 업데이트된 날짜입니다. FWCI는 인용이 누적됨에 따라 주기적으로 업데이트됩니다.
WOS Citation Web of Science에서 집계된 해당 논문의 총 인용 횟수입니다.
SCOPUS Citation SCOPUS에서 집계된 해당 논문의 총 인용 횟수입니다.
Keywords (WoS) 저자가 논문에서 직접 지정한 키워드입니다. Web of Science에 등록된 저자 키워드 목록입니다.
KeywordsPlus (WoS) Web of Science에서 자동으로 추출한 추가 키워드입니다. 논문의 참고문헌 제목에서 자주 등장하는 단어들로 생성됩니다.
Keywords (SCOPUS) 저자가 논문에서 직접 지정한 키워드입니다. SCOPUS에 등록된 저자 키워드 목록입니다.
KeywordsPlus (SCOPUS) SCOPUS에서 자동으로 추출하거나 추가한 색인 키워드입니다.
Language 논문이 작성된 언어입니다. 대부분 English이며, 그 외 다양한 언어로 작성된 논문이 포함될 수 있습니다.
Publication Year 논문이 출판된 연도입니다.
Publication Date 논문의 정확한 출판 날짜입니다 (년-월-일 형식).
DOI Digital Object Identifier. 디지털 객체 식별자로, 논문을 고유하게 식별하는 영구적인 식별번호입니다. 이를 통해 논문의 온라인 위치를 찾을 수 있습니다.