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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 | Slag Removal Path Estimation by Slag Distribution Image and Multi-Task Deep Learning Network | This paper proposes an automatic slag removal path estimation in a ladle image using a deep neural network. Slag removal is a hazardous task in steel production, and it is conducted manually by experienced human operators. To automate the slag removal task using a robotic machine, a slag removal path in a ladle image must be determined to control the motion of the machine. We propose a novel image structure called Slag Distribution Image(SDI) and a Slag Removal Path Estimation Network(SRPENet) to estimate the slag removal path. SDI contains the slag distribution and the ladle boundary information. SRPENet is designed as a multi-task learning architecture to perform two tasks: the first task is to estimate the control point of the slag removal path and the second task is to estimate the goodness-score of the control points. The structure of SDI is designed to yield efficient performance in SRPENet. The ground truth and learning data of slag removal path are collected along the working trajectories of human experts. The final removal path is determined by post-processing of the outputs of SRPENet. In experiments using real ladle images, the amount of removed slag and the mechanical energy efficiency are evaluated and compared with the ground truth to present qualitative and quantitative analysis. In addition, two ablation studies are presented. The first study is using SDI or RGB image as the input of SRPENet. The second study is the presence or absence of the smooth term in the SRPENet's loss function. The proposed method shows 119.83% and 96.2% performance compared to ground truth in the amount of removed slag and mechanical energy efficiency, respectively. Our method runs in real-time with about 53.168 msec/frame. | Lee, Junesuk; Ahn, Geon-Tae; Park, Soon-Yong | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Res Inst Ind Sci & Technol Pohang, Pohang 37673, South Korea | Park, Soon-Yong/HGV-2374-2022 | 57210786619; 56559578600; 7501834063 | sypark@knu.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 9 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2021 | 3.476 | 37.9 | 0.08 | 2025-07-30 | 4 | 3 | Slag; Task analysis; Robots; Estimation; Cleaning; Iron; Excavation; Path estimation; slag distribution image; slag removal; supervised learning | Path estimation; slag distribution image; slag removal; supervised learning | Deep neural networks; Energy efficiency; Image coding; Ladles; Learning systems; Multi-task learning; Slags; Steelmaking; Boundary information; Image Structures; Learning network; Mechanical energies; Path estimation; Post processing; Qualitative and quantitative analysis; Steel production; Deep learning | English | 2021 | 2021 | 10.1109/access.2021.3107677 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Supervised-Learning-Based Intelligent Fault Diagnosis for Mechanical Equipment | Recently, anomaly detection for improving the productivity of machinery in industrial environments has drawn considerable attention. As large-scale data collection and processing are becoming easier owing to technological developments, data-based deep-learning technology is being developed to detect anomalies in mechanical equipment operation. This study proposes an ensemble model that combines stacked two-dimensional and one-dimensional convolutional neural networks (CNNs), residual long short-term memory (LSTM), and LSTM based on supervised learning. The model, which is called the SCRLSTM model, can detect abnormal data generated by mechanical equipment. The proposed model can extract the spatial features of data using a CNN model and detect anomalous states in the time-series-based vibration datasets of machinery under various environments through residual LSTM. To verify this model, data augmentation was applied to the original time-series-based mechanical vibration dataset, which had unbalanced samples that lowered the performance of the abnormal anomaly detection model. In addition, an image-based analysis was performed by converting time-series-based raw-signal data to Mel-spectrogram images, thereby achieving better performance in the fault diagnosis system to which data augmentation was applied. The proposed SCRLSTM model shows better performance than other supervised-learning-based models on datasets having different lengths under various conditions. This indicates that the proposed anomaly detection model can be expected to improve the productivity of mechanical equipment in industrial settings. | Hong, Geonkyo; Suh, Dongjun | Kyungpook Natl Univ, Dept Convergence & Fus Syst Engn, Sangju 37224, South Korea | 58069296200; 36613529600 | dongjunsuh@knu.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 9 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2021 | 3.476 | 37.9 | 1.06 | 2025-07-30 | 17 | 19 | Fault diagnosis; Vibrations; Productivity; Supervised learning; Feature extraction; Valves; Data models; Supervised learning; anomaly detection; fault diagnosis; time series; data augmentation; mel-spectrogram | CONVOLUTIONAL NEURAL-NETWORK; PREDICTION; SPECTROGRAM; MODELS | anomaly detection; data augmentation; fault diagnosis; mel-spectrogram; Supervised learning; time series | Anomaly detection; Convolutional neural networks; Data handling; Fault detection; Learning systems; Long short-term memory; Spectrographs; Supervised learning; Time series; Time series analysis; Vibrations (mechanical); Anomaly detection; Anomaly detection models; Convolutional neural network; Data augmentation; Faults diagnosis; Mechanical equipment; Mel-spectrogram; Performance; Spectrograms; Times series; Failure analysis | English | 2021 | 2021 | 10.1109/access.2021.3104189 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Tracking Control of Overhead Crane Using Output Feedback With Adaptive Unscented Kalman Filter and Condition-Based Selective Scaling | Most of the advanced nonlinear control strategies reported in the literature for underactuated mechanisms, such as overhead cranes, require the knowledge of all state variables. For cranes, the state vector includes variables related to the load sway and its velocity. The flatness property of crane-like systems can be exploited to solve both motion planning and tracking problems, so that the load (whose coordinates are included in the set of the flat outputs) exponentially follows a rapid reference trajectory. However, unmodeled friction phenomena and limitations on the direct measurement of sway-related state variables usually impede the practical implementation of flatness-based control laws. This paper proposes the use of an adaptive unscented Kalman filter to estimate friction forces and unmeasured state variables. The convergence of the filter is improved using a novel technique, called condition-based selective scaling. The performance of the suggested scheme is verified through a set of computer simulations on a 2D overhead crane system. | Kim, Jaehoon; Kiss, Balint; Kim, Donggil; Lee, Dongik | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Budapest Univ Technol & Econ, Dept Control Engn & Informat Technol, H-1111 Budapest, Hungary; Kyungil Univ, Dept Robot Engn, Gyongsan 38428, South Korea | Kiss, Balint/H-3960-2012; Kim, Donggil/AAY-5032-2021 | 57202767865; 16646213500; 23090866400; 55698910600 | dilee@ee.knu.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 9 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2021 | 3.476 | 37.9 | 0.61 | 2025-07-30 | 8 | 11 | Cranes; Estimation; Kalman filters; Friction; Trajectory; Load modeling; Licenses; Overhead crane; feedback linearization; flatness based control; adaptive unscented Kalman filter; condition-based selective scaling | INPUT-SHAPING CONTROL; STATE ESTIMATION; DESIGN | Adaptive unscented Kalman filter; Condition-based selective scaling; Feedback linearization; Flatness based control; Overhead crane | Bridge cranes; Control theory; Feedback; Friction; Gantry cranes; Kalman filters; Motion tracking; Navigation; Direct measurement; Flatness-based control; Non linear control; Overhead crane system; Reference trajectories; Tracking controls; Under-actuated mechanism; Unscented Kalman Filter; Adaptive filtering | English | 2021 | 2021 | 10.1109/access.2021.3101855 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Understanding of BBRv2: Evaluation and Comparison With BBRv1 Congestion Control Algorithm | Google proposed a bottleneck bandwidth round-trip propagation time (BBR) for TCP to replace the loss-based congestion control algorithms, such as Reno and CUBIC. Unlike the loss-based algorithms, BBR models a network path from source to destination and dynamically controls the sending rate using control parameters, such as pacing rate, congestion window, and quantum to achieve high throughput and low latency. However, many studies have reported performance issues in BBR operation, such as excessive packet loss in shallow buffers, the unfairness among different RTT flows, the unfairness with loss-based algorithms, and so on. Google is developing a new version of BBR, BBRv2, to resolve these performance issues. In this study, we evaluate and compare two versions of BBR on a Mininet emulator and a physical testbed, focusing on whether the BBRv2 alpha can alleviate the performance issues of BBRv1 and whether other novel issues will arise in BBRv2. The experiment results show that BBRv2 improves the unfairness and aggressiveness in small buffer less than 1 BDP. Moreover, multiple BBRv2 flows not only show better fairness in bandwidth sharing, but also reduce the amount of packet retransmissions. However, we observed that the challenging issues such as RTT unfairness, coexistence with loss-based algorithms, and synchronization between BBRv2 flows still exist. This study explores BBRv2's current behavior in various network scenarios and compares the performance of BBRv2 with the BBRv1 congestion control algorithm. | Song, Yeong-Jun; Kim, Geon-Hwan; Mahmud, Imtiaz; Seo, Won-Kyeong; Cho, You-Ze | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Yeungjin Univ, Dept Mil Elect Commun, Daegu 41527, South Korea | ; Mahmud, Imtiaz/R-1089-2019 | 57210919165; 57189040274; 56203487900; 36907736400; 7404469829 | yzcho@ee.knu.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 9 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2021 | 3.476 | 37.9 | 1.89 | 2025-07-30 | 24 | 27 | Internet; Bandwidth; Throughput; Packet loss; Delays; Licenses; Degradation; TCP congestion control; BBRv1; BBRv2; fairness; retransmission | TCP BBR | BBRv1; BBRv2; fairness; retransmission; TCP congestion control | Bandwidth; Packet networks; Bandwidth sharing; Bottleneck bandwidth; Congestion window; Control parameters; Current behaviors; Packet retransmissions; Performance issues; Physical testbeds; Traffic congestion | English | 2021 | 2021 | 10.1109/access.2021.3061696 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Very Deep Learning-Based Illumination Estimation Approach With Cascading Residual Network Architecture (CRNA) | For the imaging signal processing (ISP) pipeline of digital image devices, it is of high significance to remove undesirable illuminant effects and obtain color invariance, commonly known as 'computational color constancy'. Achieving the computational color constancy requires going through two phases: the illumination estimation, which will be the primary focus of this work, and the human visual perception-based chromatic adaptation. At the first phase, illumination estimation is to predict RGB triplets, the numeric representations of incident illuminant colors, by calculating the values of image pixels. How much the network can increase its estimation accuracy is a key to realizing computational color constancy. With recent advances in deep learning (DL), a lot of deep learning-based approaches have been suggested, bringing higher accuracy to computer vision applications, but there are still quite a few obstacles to overcome such as instability of learning. In an attempt to address this ill-posed problem in the illumination estimation space, this article presents a novel deep learning-based approach, the Cascading Residual Network Architecture (CRNA), which incorporates the ResNet and cascading mechanism into the deep convolutional neural network (DCNN). The cascading mechanism enables the proposed network to restrain from suddenly varying in size, serves to mitigate learning instability, and accordingly reduces the quality degradation. This is attributed to the ability of the cascading mechanism that fine-tunes the pre-trained DCNN. Considerable amounts of datasets and comparative experiments highlight that the proposed approach delivers more stable and robust results and imply the potential for generalization of the proposed approach across deep learning applications. | Choi, Ho-Hyoung; Yun, Byoung-Ju | Kyungpook Natl Univ, Adv Dent Device Dev Inst, Sch Dent, Daegu 41940, South Korea; Kyungpook Natl Univ, IT Coll, Sch Elect Engn, Daegu 41940, South Korea | 37048369000; 7006416932 | bjisyun@ee.knu.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 9 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2021 | 3.476 | 37.9 | 0.3 | 2025-07-30 | 3 | 5 | Estimation; Image color analysis; Lighting; Computer architecture; Cameras; Sensitivity; Residual neural networks; Image signal processing pipeline; computational color constancy; learning instability; cascading mechanism; illumination estimation | COLOR CONSTANCY; MODEL | Cascading mechanism; Computational color constancy; Illumination estimation; Image signal processing pipeline; Learning instability | Color; Convolutional neural networks; Deep neural networks; Digital devices; Pipeline processing systems; Pipelines; Cascading mechanism; Computational color constancy; Digital image; Estimation approaches; Illumination estimation; Image devices; Image signal-processing pipeline; Learning instability; Learning-based approach; Signal-processing; Network architecture | English | 2021 | 2021 | 10.1109/access.2021.3115942 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | CID: Co-Architecting Instruction Cache and Decompression System for Embedded Systems | Code compression is widely used to reduce the footprint of code memory in cost-sensitive embedded systems. However, despite the small code size, the decompressor and the address translator required to support the code compression incur energy and area overheads. To reduce such overheads while still supporting code compression, we co-architect the instruction cache and decompression system(CID). In CID, each component is placed at the optimal location and the instruction cache is redesigned to recognize the compression state and retain the original address, through the cache division and address space decompression process. As a result of the cache division, the energy consumption and area overheads of the CID instruction cache are reduced. Since the decompressor overhead depends on the code compression technique, we propose a new code compression technique called entropy-based pattern code compression, which reduces overheads of the decompressor. Our experimental results show that the total energy consumption of the instruction cache and decompression system is reduced by up to 29.7 percent and their area is reduced by up to 15.4 percent compared to the post-cache architecture with almost no performance degradation, while achieving an 18.8 percent improvement in the compression ratio compared to the state-of-the-art code compression technique. | Kim, Jinkwon; Hong, Seokin; Hong, Jeongkyu; Kim, Soontae | Korea Adv Inst Sci & Technol, Sch Comp, Daejeon 34141, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea; Yeungnam Univ, Dept Comp Engn, Gyeongbuk 38541, South Korea | Hong, Seokin/S-7313-2017; Kim, Jinkwon/JGE-2365-2023; Kim, Soontae/C-1788-2011 | 57226166177; 55597086808; 55549485700; 55978339900 | coco@kaist.ac.kr;seokin@knu.ac.kr;jhong@yu.ac.kr;kims@kaist.ac.kr; | IEEE TRANSACTIONS ON COMPUTERS | IEEE T COMPUT | 0018-9340 | 1557-9956 | 70 | 7 | SCIE | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE;ENGINEERING, ELECTRICAL & ELECTRONIC | 2021 | 3.183 | 38.0 | 0.44 | 2025-07-30 | 6 | 6 | Code compression; instruction cache; embedded systems | COMPRESSION; ENERGY; THUMB | Code compression; embedded systems; instruction cache | Cache memory; Embedded systems; Energy utilization; Address translators; Cache architecture; Compression state; Cost-sensitive embedded systems; Instruction caches; Optimal locations; Performance degradation; Total energy consumption; Cost reduction | English | 2021 | 2021-07-01 | 10.1109/tc.2020.3010062 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Dienogest and the Risk of Reoperation in Endometriosis | Background: This retrospective cohort study aimed to determine whether there is a difference in reoperation rates between patients who used dienogest (DNG) and patients who did not use DNG. Methods: Using Health Insurance Review and Assessment Service (HIRA) data generated between 1 January 2010 and 30 June 2018, we identified women with an endometriosis diagnosis code who used GnRH agonists after gynecological surgery. Among them, women prescribed DNG were selected as the DNG group, and those who did not receive DNG were selected as the control group. A survival analysis of the reoperation between the two groups was performed. Results: DNG and control groups were extracted from 9735 people each. The reoperation rates were 0.4% and 0.6% in the DNG and control groups, respectively, without adjusting. In the Cox proportional risk analysis, DNG use increased the reoperation rate {hazard ratio (HR), 1.599; 95% confidence interval (CI), 1.005-2.5451. The site of endometriosis and the number of GnRH agonist injections were not associated with reoperation (HR, 1.008; 95% CI, 0.739-1.374; HR, 1.062; 95% CI, 0.690-1.635). In the subgroup survival analysis, according to the period between the last GnRH agonist injection and the first DNG dose, DNG did not increase the reoperation rates up to 9 months (similar to 3 months: HR, 0.968; 95% CI, 0.551-1.699; 4 similar to 6 months: HR, 1.094; 95% CI, 0.58-2.063; 7 similar to 9 months: HR, 2.419; 95% CI, 0.735-7.962), but DNG increased the reoperation rate from 10 months onwards (10-12 months: HR, 3.826; 95% CI, 1.164-12.579 and similar to 13 months: HR, 8.436; 95% CI, 4.722-15.072). Conclusions: Women who used DNG had a higher endometriosis reoperation rate than women who did not use DNG. However, the initiation of DNG treatment within nine months after the last GnRH agonist injection did not affect the endometriosis reoperation rate. | Seo, Yong-Soo; Yuk, Jin-Sung; Cho, Yong-Kyoon; Shin, Ji-Yeon | Inje Univ, Sch Med, Dept Obstet & Gynecol, Sanggye Paik Hosp, 1342 Dongil Ro, Seoul 01757, South Korea; Kyungpook Natl Univ, Sch Med, Dept Prevent Med, Daegu 41944, South Korea | Yuk, Jin-Sung/G-2126-2019 | 56212273100; 55427967200; 36122556400; 55567961600 | obdrseo@paik.ac.kr;dryjs01@gmail.com;ymkcho@paik.ac.kr;jyshin@knu.ac.kr; | JOURNAL OF PERSONALIZED MEDICINE | J PERS MED | 2075-4426 | 11 | 9 | SCIE | HEALTH CARE SCIENCES & SERVICES;MEDICINE, GENERAL & INTERNAL | 2021 | 3.508 | 38.1 | 0.31 | 2025-07-30 | 4 | 3 | dienogest; endometriosis; GnRH agonist; reoperation | RECURRENCE; AGONIST; TRIAL; WOMEN; PAIN | Dienogest; Endometriosis; GnRH agonist; Reoperation | dienogest; gonadorelin agonist; adult; Article; Charlson Comorbidity Index; cohort analysis; controlled study; endometriosis; Fallopian tube; female; health insurance; human; human tissue; hysterectomy; major clinical study; menopause; ovary; ovary tumor; reoperation; retrospective study; social status; uterus | English | 2021 | 2021-09 | 10.3390/jpm11090924 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Review | Effect of Aging on Homeostasis in the Soft Tissue of the Periodontium: A Narrative Review | Aging is characterized by a progressive decline or loss of physiological functions, leading to increased susceptibility to disease or death. Several aging hallmarks, including genomic instability, cellular senescence, and mitochondrial dysfunction, have been suggested, which often lead to the numerous aging disorders. The periodontium, a complex structure surrounding and supporting the teeth, is composed of the gingiva, periodontal ligament, cementum, and alveolar bone. Supportive and protective roles of the periodontium are very critical to sustain life, but the periodontium undergoes morphological and physiological changes with age. In this review, we summarize the current knowledge of molecular and cellular physiological changes in the periodontium, by focusing on soft tissues including gingiva and periodontal ligament. | Kim, Yu Gyung; Lee, Sang Min; Bae, Sungeun; Park, Taejun; Kim, Hyeonjin; Jang, Yujeong; Moon, Keonwoo; Kim, Hyungmin; Lee, Kwangmin; Park, Joonyoung; Byun, Jin-Seok; Kim, Do-Yeon | Kyungpook Natl Univ, Sch Dent, Dept Pharmacol, Daegu 41940, South Korea; Kyungpook Natl Univ, Sch Dent, Dept Oral Med, Daegu 41940, South Korea; Kyungpook Natl Univ, Sch Dent, Brain Sci & Engn Inst, Dept Pharmacol, Daegu 41940, South Korea | Kim, Young-Bo/AAR-8052-2021; Kim, Do-Yeon/AET-3021-2022 | 57221687604; 57213176293; 57221693181; 57221686957; 57196123950; 57221700805; 57221684888; 57221699697; 57221688309; 57221692751; 55430621800; 57203012542 | cosmos0468@naver.com;leeyang2324@naver.com;em5161@naver.com;parktj@gmail.com;twdt92@gmail.com;yjeong07@naver.com;moons2317@naver.com;hyuongmin@naver.com;mgkd200@naver.com;junfriend777@hanmail.net;jsbyun@knu.ac.kr;dykim82@knu.ac.kr; | JOURNAL OF PERSONALIZED MEDICINE | J PERS MED | 2075-4426 | 11 | 1 | SCIE | HEALTH CARE SCIENCES & SERVICES;MEDICINE, GENERAL & INTERNAL | 2021 | 3.508 | 38.1 | 0.76 | 2025-07-30 | 16 | 19 | aging; periodontium; gingiva; periodontal ligament; MMP | INDUCED GINGIVAL HYPERPLASIA; AGE-RELATED-CHANGES; GENE-EXPRESSION; JUNCTIONAL EPITHELIUM; OXIDATIVE STRESS; HYALURONIC-ACID; LIGAMENT CELLS; STEM-CELLS; FLOW-RATES; LIFE-SPAN | Aging; Gingiva; MMP; Periodontal ligament; Periodontium | inducible nitric oxide synthase; matrix metalloproteinase; aging; alveolar bone; cell aging; extracellular matrix; genomic instability; homeostasis; human; human tissue; periodontal ligament; periodontium; Review; soft tissue; systematic review; tooth cementum | English | 2021 | 2021-01 | 10.3390/jpm11010058 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Machine Learning-Based Classification of Dependence in Ambulation in Stroke Patients Using Smartphone Video Data | The goal of this study was to develop a framework to classify dependence in ambulation by employing a deep model in a 3D convolutional neural network (3D-CNN) using video data recorded by a smartphone during inpatient rehabilitation therapy in stroke patients. Among 2311 video clips, 1218 walk action cases were collected from 206 stroke patients receiving inpatient rehabilitation therapy (63.24 & PLUSMN; 14.36 years old). As ground truth, the dependence in ambulation was assessed and labeled using the functional ambulatory categories (FACs) and Berg balance scale (BBS). The dependent ambulation was defined as a FAC score less than 4 or a BBS score less than 45. We extracted patient-centered video and patient-centered pose of the target from the tracked target's posture keypoint location information. Then, the extracted patient-centered video was input in the 3D-CNN, and the extracted patient-centered pose was used to measure swing time asymmetry. Finally, we evaluated the classification of dependence in ambulation using video data via fivefold cross-validation. When training the 3D-CNN based on FACs and BBS, the model performed with 86.3% accuracy, 87.4% precision, 94.0% recall, and 90.5% F1 score. When the 3D-CNN based on FACs and BBS was combined with swing time asymmetry, the model exhibited improved performance (88.7% accuracy, 89.1% precision, 95.7% recall, and 92.2% F1 score). The proposed framework for dependence in ambulation can be useful, as it alerts clinicians or caregivers when stroke patients with dependent ambulatory move alone without assistance. In addition, monitoring dependence in ambulation can facilitate the design of individualized rehabilitation strategies for stroke patients with impaired mobility and balance function. | Lee, Jong Taek; Park, Eunhee; Jung, Tae-Du | Elect & Telecommun Res Inst ETRI, Artificial Intelligence Applicat Res Sect, Daegu 42994, South Korea; Kyungpook Natl Univ, Sch Med, Dept Rehabil Med, Daegu 41944, South Korea; Kyungpook Natl Univ, Dept Rehabil Med, Chilgok Hosp, Daegu 41404, South Korea | 24341317500; 56107216400; 36622364500 | jongtaeklee@etri.re.kr;ehmdpark@knu.ac.kr;teeed0522@hanmail.net; | JOURNAL OF PERSONALIZED MEDICINE | J PERS MED | 2075-4426 | 11 | 11 | SCIE | HEALTH CARE SCIENCES & SERVICES;MEDICINE, GENERAL & INTERNAL | 2021 | 3.508 | 38.1 | 0.82 | 2025-07-30 | 6 | 8 | machine learning; stroke; rehabilitation; dependent ambulation; postural balance | BERG BALANCE SCALE; GAIT; FALLS; RELIABILITY; RECOGNITION; SURVIVORS; CHILDREN | Dependent ambulation; Machine learning; Postural balance; Rehabilitation; Stroke | adult; aged; algorithm; area under the curve; Article; Berg Balance Scale; brain asymmetry; brain depth stimulation; brain hemorrhage; brain ischemia; caregiver; cerebrovascular accident; controlled study; convolutional neural network; deep learning; diagnostic test accuracy study; entropy; female; gait; human; human experiment; machine learning; male; measurement accuracy; measurement precision; middle aged; mobilization; neuropsychological test; physical activity; predictive value; receiver operating characteristic; retrospective study; scoring system; stochastic model; stroke patient; task performance; time series analysis; training; videorecording | English | 2021 | 2021-11 | 10.3390/jpm11111080 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Identification of organs inside hard tick body using spectral-domain optical coherence tomography | Ixodidae tick, also known as a hard tick, is one of the major vectors of various tick-borne diseases. Studying its anatomy is the fundamental approach for diverse acarological studies and the key to understanding tick morphology. However, the conventional methods of observing internal organs rely primarily on dissection, which damages specimens irrecoverably. In this study, we developed an optical coherence tomography (OCT) system to non-invasively investigate the morphological characteristics of the hard tick. Herein, OCT imaging was conducted by the developed spectral-domain OCT (SD-OCT) system with two different objective lenses. The developed system provides an axial resolution (in the air) of 6.2 ?m and a maximum lateral resolution of 2.46 ?m as an objective lens with a high numerical aperture (NA) and 10? magnification was employed. Using the developed SD-OCT system, internal organs of tick specimens, such as salivary glands, midgut, genital orifice, and ovary, were identified without inflicting damage. The study suggests the feasibility of the optical coherence imaging for the acarological study of the fundamental morphological inspection and for possible future studies, such as verifying the potential morphological differences among virus transmitted hard tick specimens. | Lee, Junsoo; Ryu, Jihun; Han, Sangyeob; Ravichandran, Naresh Kumar; Seong, Daewoon; Lee, Jaeyul; Wijesinghe, Ruchire Eranga; Kim, Pilun; Lee, Seung-Yeol; Jung, Hee-Young; Jeon, Mansik; Choi, Kwang Shik; Kim, Jeehyun | Kyungpook Natl Univ, Sch Elect & Elect Engn, 80 Daehak Ro, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Life Sci, 80 Daehak Ro, Daegu 41566, South Korea; Korea Basic Sci Inst, Ctr Sci Instrumentat, 169-148 Gwahak Ro, Daejeon 34133, South Korea; Univ Sri Jayewardenepura, Fac Technol, Dept Mat & Mech Technol, Pitipana 10200, Homagama, Sri Lanka; Kyungpook Natl Univ, Sch Med, 80 Daehak Ro, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Appl Biosci, 80 Daehak Ro, Daegu 41566, South Korea | Ryu, Jihun/MSY-6008-2025; Lee, Yoon/ABA-8808-2020; RAVICHANDRAN, NARESH KUMAR/D-2190-2017; Wijesinghe, Ruchire/K-3797-2016; Lee, Junsoo/IUO-9627-2023 | 57209986073; 57210884178; 57193695305; 57125825900; 57212512353; 57188689420; 56018152300; 56967482800; 56106499600; 7403029383; 24171094000; 36602283400; 7601373350 | ksc@knu.ac.kr;jeehk@knu.ac.kr; | INFRARED PHYSICS & TECHNOLOGY | INFRARED PHYS TECHN | 1350-4495 | 1879-0275 | 114 | SCIE | INSTRUMENTS & INSTRUMENTATION;OPTICS;PHYSICS, APPLIED | 2021 | 2.997 | 38.3 | 0.17 | 2025-07-30 | 2 | 2 | Hard tick; Ixodidae; Morphology; Optical imaging; Optical coherence tomography | SALIVARY-GLANDS; METAMORPHOSIS; FEVER | Hard tick; Ixodidae; Morphology; Optical coherence tomography; Optical imaging | Coherent light; Optical instrument lenses; Strain measurement; Tomography; Viruses; Axial resolutions; Conventional methods; High numerical apertures; Lateral resolution; Morphological characteristic; Optical coherence imaging; Spectral domain OCT; Spectral domain optical coherence tomographies; Optical tomography | English | 2021 | 2021-05 | 10.1016/j.infrared.2020.103611 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Photoluminescence and nonlinear optical investigations on Eu2O3 doped sodium bismuth borate glasses for solid state lighting and near-infrared optical limiting applications | Tri-positive rare earth ions activated alkali heavy metal borate glasses were designed and synthesised using melt-quenching process. Photoluminescence (PL), nonlinear optical (NLO), and optical limiting (OL) attributes of titled glasses have been systematically investigated in order to understand the efficacy of tri-valent europium ions and the obtained results are discussed in detail. The PL attributes were assessed with the blue light pumping. The NLO and OL features were evaluated in 700-1000 nm spectral region using femtosecond laser pulses. The two-photon absorption and nonlinear refractive index coefficients were found to be increased with elevation of Eu2O3 content to higher doping whereas the OL threshold factors exhibited an opposite behaviour. The PL and Judd-Ofelt analysis revealed the glass matrices containing high concertation of tri-valent europium ions are more useful for red lighting applications when excited with blue light. NLO and OL results suggest the strong Eu3+ containing glasses are ideal materials for designing optical limiters of high power to work in near infrared region with femtosecond pulses. | Jalluri, Tayaramma D. P. V.; Sriram, K. V.; Rudraswamy, B.; Hegde, Vinod; Devarajulu, G.; Prasad, K. N. N.; Pramod, A. G.; Aloraini, Dalal Abdullah; Almuqrin, Aljawhara H.; Sayyed, M. I.; Eraiah, B.; Prashantha, S. C.; Rao, S. Venugopal; Jagannath, G. | Bangalore Univ, Dept Phys, Bengaluru 560056, Karnataka, India; ISRO, Lab Electroopt Syst LEOS, Peenya Ind Estate, Bengaluru 560058, Karnataka, India; Acharya Inst Grad Studies, Dept Phys, Bengaluru 560107, Karnataka, India; Kyungpook Natl Univ, Intelligent Construct Automat Ctr, 80 Daehak Ro, Daegu 41566, South Korea; BNM Inst Technol, Dept Phys, Bengaluru 560070, Karnataka, India; Princess Nourah bint Abdulrahman Univ, Coll Sci, Dept Phys, Riyadh, Saudi Arabia; Isra Univ, Fac Sci, Dept Phys, Amman, Jordan; Imam Abdulrahman bin Faisal Univ IAU, Inst Res & Med Consultat IRMC, Dept Nucl Med Res, POB 1982, Dammam 31441, Saudi Arabia; East West Inst Technol, Dept Phys, Bengaluru 560091, Karnataka, India; Univ Hyderabad, Adv Ctr Res High Energy Mat ACRHEM, Hyderabad 500046, India; Natl Coll, Dept Postgrad Studies & Res Phys, Bengaluru 560070, Karnataka, India | GELIJA, DEVARAJULU/S-8326-2017; PRASAD, Dr. K N N/AAU-7142-2020; B, Eraiah/B-8252-2012; KNN, Prasad/GXG-4650-2022; Gangareddy, Jagannath/AAX-5529-2021; S.C., Prashantha/L-1385-2015; Soma, Venugopal Rao/B-2651-2008; Sayyed, M.I/AAB-7789-2022; Gelija, Devarajulu/S-8326-2017 | 57224122446; 57214623563; 15835902400; 57193835774; 57200322478; 57218858570; 57202160961; 57224125460; 57115469100; 57189890554; 6504504628; 12143989000; 57209992249; 57193812432 | rudraswamy@bub.ernet.in;jagannathgreddy@gmail.com; | INFRARED PHYSICS & TECHNOLOGY | INFRARED PHYS TECHN | 1350-4495 | 1879-0275 | 116 | SCIE | INSTRUMENTS & INSTRUMENTATION;OPTICS;PHYSICS, APPLIED | 2021 | 2.997 | 38.3 | 2.49 | 2025-07-30 | 32 | 36 | Alkali bismuth borate glasses; Tri-valent europium ions; Photoluminescence; Nonlinear optical; Optical limiting | EU3+ IONS; ZINC; SPECTRA; OXIDE; EMISSION; NANOPARTICLES; POLARIZABILITY; BASICITY; LASER; RAMAN | Alkali bismuth borate glasses; Nonlinear optical; Optical limiting; Photoluminescence; Tri-valent europium ions | English | 2021 | 2021-08 | 10.1016/j.infrared.2021.103784 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Rapid transmission of coronavirus disease 2019 within a religious sect in South Korea: A mathematical modeling study | Rapid transmission of coronavirus disease 2019 (COVID-19) was observed in the Shincheonji Church of Jesus, a religious sect in South Korea. The index case was confirmed on February 18, 2020 in Daegu City, and within two weeks, 3081 connected cases were identified. Doubling times during these initial stages (i.e., February 18 - March 2) of the outbreak were less than 2 days. A stochastic model fitted to the time series of confirmed cases suggests that the basic reproduction number (R-0) of COVID-19 was 8.5 [95% credible interval (CrI): 6.3, 10.9] among the church members, whereas (R-0 = 1.9 [95% CrI: 0.4, 4.4]) in the rest of the population of Daegu City. The model also suggests that there were already 4 [95% CrI: 2, 11] undetected cases of COVID-19 on February 7 when the index case reportedly presented symptoms. The Shincheonji Church cluster is likely to be emblematic of other outbreak-prone populations where R-0 of COVID-19 is higher. Understanding and subsequently limiting the risk of transmission in such high-risk places is key to effective control. | Kim, Jong-Hoon; Lee, Hyojung; Won, Yong Sul; Son, Woo-Sik; Im, Justin | Int Vaccine Inst, SNU Res Pk,1 Gwanak Ro, Seoul 08826, South Korea; Kyungpook Natl Univ, Dept Stat, Daegu, South Korea; Natl Inst Math Sci, Daejeon, South Korea | 36441517400; 57196021198; 57221749657; 35822707800; 56585379500 | jonghoon.kim@ivi.int; | EPIDEMICS | EPIDEMICS-NETH | 1755-4365 | 1878-0067 | 37 | SCIE | INFECTIOUS DISEASES | 2021 | 5.324 | 38.4 | 0.18 | 2025-07-30 | 2 | 2 | COVID-19; Korea; Shincheonji cluster; Transmission model; Reproduction number | DOUBLING TIME; COVID-19; DYNAMICS | COVID-19; Korea; Reproduction number; Shincheonji cluster; Transmission model | COVID-19; Humans; Republic of Korea; SARS-CoV-2; Article; basic reproduction number; community care; comparative study; contact examination; control; controlled study; coronavirus disease 2019; cumulative incidence; disease simulation; epidemic doubling time; high risk population; human; mathematical model; population; religion; rest; reverse transcription polymerase chain reaction; social distancing; South Korea; stochastic model; time series analysis; virus transmission; epidemiology | English | 2021 | 2021-12 | 10.1016/j.epidem.2021.100519 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Association between hospital liver transplantation volume and mortality after liver re-transplantation | Background The relationship between institutional liver transplantation (LT) case volume and clinical outcomes after liver re-transplantation is yet to be determined. Methods Patients who underwent liver re-transplantation between 2007 and 2016 were selected from the Korean National Healthcare Insurance Service database. Liver transplant centers were categorized to either high-volume centers (>= 64 LTs/year) or low-volume centers (= 64 LTs/year) showed lower in-hospital and overall mortality after liver re-transplantation compared to low-volume centers. | Oh, Seung-Young; Jang, Eun Jin; Kim, Ga Hee; Lee, Hannah; Yi, Nam-Joon; Yoo, Seokha; Kim, Bo Rim; Ryu, Ho Geol | Seoul Natl Univ, Seoul Natl Univ Hosp, Crit Care Ctr, Coll Med, Seoul, South Korea; Seoul Natl Univ, Seoul Natl Univ Hosp, Dept Surg, Coll Med, Seoul, South Korea; Andong Natl Univ, Dept Informat Stat, Gyeongsangbuk Do, South Korea; Kyungpook Natl Univ, Dept Stat, Daegu, South Korea; Seoul Natl Univ, Seoul Natl Univ Hosp, Dept Anesthesiol, Coll Med, Seoul, South Korea | Yi, Nam-Joon/I-6142-2019; Kim, Bo Rim/AFQ-3640-2022; Ryu, Ho/J-5463-2012; Yoo, Seokha/H-1638-2018 | 55930541200; 37861741600; 57205094539; 55634905800; 7006877047; 55883558900; 57189683654; 7202277246 | hogeol@gmail.com; | PLOS ONE | PLOS ONE | 1932-6203 | 16 | 8 | SCIE | MULTIDISCIPLINARY SCIENCES | 2021 | 3.752 | 38.5 | 0.43 | 2025-07-30 | 5 | 8 | HEPATITIS-C; RETRANSPLANTATION; OUTCOMES; SURGERY; CENTRALIZATION; ESOPHAGECTOMY; COMORBIDITY; EXPERIENCE; DECISION | Adult; Aged; Comorbidity; Female; Hospital Mortality; Humans; Liver Transplantation; Male; Middle Aged; Postoperative Complications; Sex Factors; adult; all cause mortality; article; controlled study; Elixhauser comorbidity index; female; health insurance; human; in-hospital mortality; liver graft; long term survival; retransplantation; risk factor; adverse event; aged; comorbidity; hospital mortality; liver transplantation; male; middle aged; mortality; postoperative complication; sex factor | English | 2021 | 2021-08-05 | 10.1371/journal.pone.0255655 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Association of nasal septal deviation with the incidence of anxiety, depression, and migraine: A national population-based study | Background & aims Nasal obstruction caused by nasal septal deviation is very bothersome and, therefore, can affect the patient's emotional state. However, little is known about the effect of nasal septal deviation (NSD) on the neuropsychiatric aspects of patients. Therefore, this study aims to verify the higher incidence of anxiety, depression, and migraine in patients diagnosed with NSD compared to general populations using big data. Methods This retrospective cohort study collected subjects from the Korean National Health Insurance Service (NHIS) database. Adjustments were made to minimize the confounding of variables for age, sex, residence type, income levels, hypertension, diabetes, dyslipidemia, rhinitis, and chronic rhinosinusitis between the two groups. The primary endpoint of this study was newly diagnosed anxiety, depression, and migraine between January 2009 and December 2018. Kaplan-Meier survival curves, logarithmic rank test, and Cox proportional regression test were used for statistical analysis. Results Among a total of 135,769 subjects in the NHIS database, 48,495 patients with NSD (NSD group) and 54,475 control subjects (control group) were selected. Patients with NSD had an increased risk of anxiety, depression, and migraine compared to the control group. In the NSD group, the adjusted hazard ratios (HR) were 1.236 (95% CI, 1.198-1.276) for anxiety, 1.289 (95% CI, 1.238-1.343) for depression, and 1.251 (95% CI, 1.214-1.290) for migraine. Conclusion NSD is associated with a higher incidence of anxiety, depression, and migraine. Therefore, it is suggested that physicians carefully consider psychoneurological distress and employ therapeutic strategies to minimize these conditions. | Lee, Ki-Il; In, Seung Min; Kim, Jong-Yeup; Hong, Jee-Young; Han, Kyung-Do; Kim, Jung-Soo; Jung, Yong Gi | Konyang Univ, Dept Otorhinolaryngol Head & Neck Surg, Coll Med, Daejeon, South Korea; Konyang Univ, Myunggok Med Res Inst, Coll Med, Daejeon, South Korea; Konyang Univ, Coll Med, Dept Biomed Informat, Daejeon, South Korea; Soongsil Univ, Dept Stat & Actuarial Sci, Seoul, South Korea; Kyungpook Natl Univ, Sch Med, Kyungpook Natl Univ Hosp, Dept Otorhinolaryngol Head & Neck Surg, Daegu, South Korea; Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Dept Otorhinolaryngol Head & Neck Surg, Seoul, South Korea | Kim, Jong-Yeup/ISA-2120-2023; Han, Kyungdo/JKH-7628-2023 | 55657552000; 55547637900; 55912024300; 23496609000; 57203289171; 55720132500; 23025412600 | ent.jyg@gmail.com; | PLOS ONE | PLOS ONE | 1932-6203 | 16 | 11 | SCIE | MULTIDISCIPLINARY SCIENCES | 2021 | 3.752 | 38.5 | 1.08 | 2025-07-30 | 18 | 22 | OBSTRUCTIVE SLEEP-APNEA; UVULOPALATOPHARYNGOPLASTY; OBESITY; MUCOSA | Adult; Anxiety; Case-Control Studies; Depression; Female; Humans; Incidence; Male; Middle Aged; Migraine Disorders; Nasal Obstruction; Nasal Septum; Republic of Korea; Retrospective Studies; adult; age; anxiety; Article; chronic rhinosinusitis; cohort analysis; controlled study; depression; diabetes mellitus; dyslipidemia; female; gender; human; hypertension; incidence; income; major clinical study; male; migraine; nose malformation; population research; residential area; retrospective study; risk factor; trend study; anxiety; case control study; depression; genetics; incidence; middle aged; migraine; nose obstruction; nose septum; psychology; South Korea | English | 2021 | 2021-11-04 | 10.1371/journal.pone.0259468 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Better health-related quality of life in kidney transplant patients compared to chronic kidney disease patients with similar renal function | Renal functional deterioration is associated with physical and mental burdens for kidney transplant (KT) and chronic kidney disease (CKD) patients. However, the change in health-related quality of life (HRQOL) over time in KT patients compared to that of native CKD patients has not been evaluated. We addressed this issue using KT patients registered in the KNOW-KT cohort study and patients at CKD stage 1-3 registered in the KNOW-CKD cohort study. HRQOL scores were assessed using the Kidney Disease Quality of Life Short Form at baseline, 2-, and 4-years follow-up in 842 KT patients and at baseline and 5-year follow-up in 1,355 CKD patients. SF-36 scores declined at the 4-year follow-up, whereas CKD-targeted scores showed no change in the KT group. In contrast, CKD-targeted scores as well as SF-36 scores were decreased at the 5-year follow-up in CKD patients. When prognostic factors were analyzed for longitudinal HRQOL data over time, renal functions, diabetes, cardiovascular and cerebrovascular diseases, hemoglobin level, marital status, income, employment, and health care were significant prognostic factors. Furthermore, KT was an independent prognostic factor for better HRQOL. These results highlight that KT can offer a better HRQOL than that of CKD patients, even when renal function is similar. | Ryu, Jung-Hwa; Koo, Tai Yeon; Ro, Han; Cho, Jang-Hee; Kim, Myung-Gyu; Ha Huh, Kyu; Park, Jae Berm; Lee, Sik; Han, Seungyeup; Kim, Jayoun; Oh, Kook-Hwan; Yang, Jaeseok | Seoul Natl Univ Hosp, Transplantat Ctr, Seoul, South Korea; Ewha Womans Univ, Nephrol, Seoul Hosp, Seoul, South Korea; Seongnam Citizens Med Ctr, Nephrol, Seongnam, South Korea; Gachon Univ, Dept Internal Med, Gil Med Ctr, Incheon, South Korea; Kyungpook Natl Univ Hosp, Dept Internal Med, Daegu, South Korea; Korea Univ, Dept Internal Med, Coll Med, Seoul, South Korea; Yonsei Univ, Dept Surg, Coll Med, Seoul, South Korea; Sungkyunkwan Univ, Seoul Samsung Med Ctr, Dept Surg, Seoul, South Korea; Chonbuk Natl Univ Hosp, Dept Internal Med, Jeonju, South Korea; Keimyung Univ, Dongsan Med Ctr, Dept Internal Med, Daegu, South Korea; Seoul Natl Univ Hosp, Med Res Collaborating Ctr, Seoul, South Korea; Seoul Natl Univ, Dept Internal Med, Coll Med, Seoul, South Korea; Yonsei Univ, Dept Internal Med, Div Nephrol, Coll Med, Seoul, South Korea | Han, Seung Seok/HGD-2825-2022; Oh, Kook-Hwan/MDS-5373-2025; Kim, EunJoo/KIB-8989-2024; Cho, Jang-hee/ABD-3534-2020; Yang, Jae/LUW-8250-2024 | 14621981000; 25646406800; 26538034700; 7403536291; 36183208900; 35183155900; 13605451500; 57192521521; 24281360600; 56272817800; 7402728369; 57212326527 | jcyjs@yuhs.ac; | PLOS ONE | PLOS ONE | 1932-6203 | 16 | 10 | SCIE | MULTIDISCIPLINARY SCIENCES | 2021 | 3.752 | 38.5 | 0.49 | 2025-07-30 | 11 | 12 | GLOMERULAR-FILTRATION-RATE; HEMODIALYSIS-PATIENTS; DIALYSIS OUTCOMES; PRACTICE PATTERNS; KOREAN VERSION; EQUATION; CKD; PREVALENCE; VALIDATION; DEPRESSION | Adult; Aged; Cerebrovascular Disorders; Comorbidity; Delivery of Health Care; Diabetes Mellitus; Employment; Female; Follow-Up Studies; Hemoglobins; Humans; Income; Kidney; Kidney Transplantation; Longitudinal Studies; Male; Marital Status; Middle Aged; Prognosis; Quality of Life; Renal Insufficiency, Chronic; Seoul; Transplant Recipients; hemoglobin; hemoglobin; adult; Article; cardiovascular disease; cerebrovascular disease; chronic kidney failure; cohort analysis; controlled study; diabetes mellitus; employment; female; follow up; health care; human; income; kidney function; kidney transplantation; major clinical study; male; marriage; observational study; patient registry; prognosis; quality of life; Short Form 36; staging; aged; blood; cerebrovascular disease; chronic kidney failure; clinical trial; comorbidity; comparative study; diabetes mellitus; graft recipient; health care delivery; kidney; longitudinal study; middle aged; multicenter study; pathophysiology; South Korea | English | 2021 | 2021 | 10.1371/journal.pone.0257981 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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