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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
Article Named Entity Correction in Neural Machine Translation Using the Attention Alignment Map Featured Application machine translation; information retrieval; text-to-speech. Neural machine translation (NMT) methods based on various artificial neural network models have shown remarkable performance in diverse tasks and have become mainstream for machine translation currently. Despite the recent successes of NMT applications, a predefined vocabulary is still required, meaning that it cannot cope with out-of-vocabulary (OOV) or rarely occurring words. In this paper, we propose a postprocessing method for correcting machine translation outputs using a named entity recognition (NER) model to overcome the problem of OOV words in NMT tasks. We use attention alignment mapping (AAM) between the named entities of input and output sentences, and mistranslated named entities are corrected using word look-up tables. The proposed method corrects named entities only, so it does not require retraining of existing NMT models. We carried out translation experiments on a Chinese-to-Korean translation task for Korean historical documents, and the evaluation results demonstrated that the proposed method improved the bilingual evaluation understudy (BLEU) score by 3.70 from the baseline. Lee, Jangwon; Lee, Jungi; Lee, Minho; Jang, Gil-Jin SK Holdings C&C, Suwon 13558, South Korea; Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea Lee, Min-Ho/ABE-5735-2021 57226563418; 57269026900; 57191730119; 7102646102 saraitne11@naver.com;darbams77@naver.com;mholee@gmail.com;gjang@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 11 15 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2021 2.838 41.9 0.3 2025-07-30 4 4 neural networks; recurrent neural networks; natural language processing; neural machine translation; named entity recognition SEQUENCE Named entity recognition; Natural language processing; Neural machine translation; Neural networks; Recurrent neural networks English 2021 2021-08 10.3390/app11157026 바로가기 바로가기 바로가기 바로가기
Article Naringin-generated ROS promotes mitochondria-mediated apoptosis in Candida albicans Naringin is a flavonoid which has a therapeutic effect. However, the details of its antifungal mechanism have not yet been fully elucidated. This study focused on clarifying the relationship between naringin and Candida albicans, to understand its mode of antifungal action. In general, naringin is an antioxidant, but our results indicated that 1 mM naringin generates intracellular superoxide (O-2(-)) and hydroxyl radicals (OH-). Reactive oxygen species (ROS) have a serious impact on Ca2+ signaling and the production of mitochondrial ROS. After exposure to enhanced O-2(-) and OH-, mitochondrial Ca2+ overload and mitochondrial O-2(-) generation were confirmed in C. albicans. It was verified that mitochondrial O-2(-) transforms mitochondrial glutathione (GSH) to oxidized GSH (GSSG), leading to extreme oxidative stress in mitochondria. The previously observed Ca2+ accumulation and oxidative stress resulted in mitochondrial membrane potential (MMP) alteration and increased mitochondrial mass. In succession, cytochrome c release from the mitochondria to the cytosol was detected due to MMP loss. Cytochrome c promotes the initiation of apoptosis, and further experiments were performed to assess the apoptotic hallmarks. Metacaspases activation, chromosomal condensation, DNA fragmentation, and phosphatidylserine exposure were observed, indicating that naringin induces apoptosis in C. albicans. In conclusion, our findings manifested that naringin-generated O-2(-) and OH- damage the mitochondria and that mitochondrial dysfunction-mediated apoptosis is novel antifungal mechanism of naringin. Kim, Heesu; Lee, Dong Gun Kyungpook Natl Univ, Sch Life Sci, BK21 4 KNU Creat BioRes Grp, Daegu 41566, South Korea Lee, Dong-Gun/IWD-9833-2023 57219859173; 55668060900 dglee222@knu.ac.kr; IUBMB LIFE IUBMB LIFE 1521-6543 1521-6551 73 7 SCIE BIOCHEMISTRY & MOLECULAR BIOLOGY;CELL BIOLOGY 2021 4.709 41.9 2.08 2025-07-30 35 36 apoptosis; Candida albicans; mitochondria; Naringin PROGRAMMED CELL-DEATH; CALCIUM HOMEOSTASIS; DNA FRAGMENTATION; OXIDATIVE STRESS; GLUTATHIONE; METABOLISM; CROSSTALK; MECHANISM; SURVIVAL; NECROSIS apoptosis; Candida albicans; mitochondria; Naringin Antifungal Agents; Calcium; Candida albicans; Caspases; Cytochromes c; DNA Damage; Flavanones; Glutathione; Membrane Potential, Mitochondrial; Microbial Sensitivity Tests; Mitochondria; Reactive Oxygen Species; aurantiin; cytochrome c; glutathione; reactive oxygen metabolite; antifungal agent; aurantiin; calcium; caspase; cytochrome c; flavanone derivative; glutathione; reactive oxygen metabolite; antifungal activity; apoptosis; Article; calcium signaling; Candida albicans; candidiasis; chromosome condensation; controlled study; DNA fragmentation; drug effect; mitochondrial membrane potential; nonhuman; oxidative stress; Candida albicans; cytology; DNA damage; drug effect; metabolism; microbial sensitivity test; mitochondrion English 2021 2021-07 10.1002/iub.2476 바로가기 바로가기 바로가기 바로가기
Article Neural Network-Based Cost-Effective Estimation of Useful Variables to Improve Wind Turbine Control The estimation of variables that are normally not measured or are unmeasurable could improve control and condition monitoring of wind turbines. A cost-effective estimation method that exploits machine learning is introduced in this paper. The proposed method allows a potentially expensive sensor, for example, a LiDAR sensor, to be shared between multiple turbines in a cluster. One turbine in a cluster is equipped with a sensor and the remaining turbines are equipped with a nonlinear estimator that acts as a sensor, which significantly reduces the cost of sensors. The turbine with a sensor is used to train the estimator, which is based on an artificial neural network. The proposed method could be used to train the estimator to estimate various different variables; however, this study focuses on wind speed and aerodynamic torque. A new controller is also introduced that uses aerodynamic torque estimated by the neural network-based estimator and is compared with the original controller, which uses aerodynamic torque estimated by a conventional aerodynamic torque estimator, demonstrating improved results. Hur, Sung-ho; Reddy, Yiza-srikanth Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea 36455858700; 57225000837 hur.s.h@ieee.org;srikanth_932@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 11 12 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2021 2.838 41.9 0.3 2025-07-30 5 4 wind energy; estimation; neural network; wind turbine control SPEED; DESIGN Estimation; Neural network; Wind energy; Wind turbine control English 2021 2021-06 10.3390/app11125661 바로가기 바로가기 바로가기 바로가기
Article Polyaspartic Acid-Coated Paramagnetic Gadolinium Oxide Nanoparticles as a Dual-Modal T1 and T2 Magnetic Resonance Imaging Contrast Agent Featured Application Dual-modal T1 and T2 magnetic resonance imaging contrast agent. Surface-coating polymers contribute to nanoparticle-based magnetic resonance imaging (MRI) contrast agents because they can affect the relaxometric properties of the nanoparticles. In this study, polyaspartic acid (PASA)-coated ultrasmall Gd2O3 nanoparticles with an average particle diameter of 2.0 nm were synthesized using the one-pot polyol method. The synthesized nanoparticles exhibited r(1) and r(2) of 19.1 and = 53.7 s(-1)mM(-1), respectively, (r(1) and r(2) are longitudinal and transverse water-proton spin relaxivities, respectively) at 3.0 T MR field, approximately 5 and 10 times higher than those of commercial Gd-chelate contrast agents, respectively. The T-1 and T-2 MR images could be obtained due to an appreciable r(2)/r(1) ratio of 2.80, indicating their potential as a dual-modal T-1 and T-2 MRI contrast agent. Marasini, Shanti; Yue, Huan; Ghazanfari, Adibehalsadat; Ho, Son Long; Park, Ji Ae; Kim, Soyeon; Cha, Hyunsil; Liu, Shuwen; Tegafaw, Tirusew; Ahmad, Mohammad Yaseen; Al Saidi, Abdullah Khamis Ali; Zhao, Dejun; Liu, Ying; Chae, Kwon-Seok; Chang, Yongmin; Lee, Gang Ho Kyungpook Natl Univ, Coll Nat Sci, Dept Chem, Taegu 41566, South Korea; Korea Inst Radiol & Med Sci KIRAMS, Div RI Convergence Res, Seoul 01817, South Korea; Kyungpook Natl Univ, Sch Med, Dept Mol Med, Taegu 41944, South Korea; Kyungpook Natl Univ, Teachers Coll, Dept Biol Educ, Taegu 41566, South Korea Ho, Son Long/P-3183-2015; Ahmad, Mohammad/AAH-2164-2020 57200329199; 57200329016; 57200327606; 55659242700; 16319690600; 57203773250; 57189728122; 57208926248; 55983618600; 57203054570; 57217492867; 57222567792; 57221731093; 15743626400; 7501840633; 7404851841 shantimarasini.sm@gmail.com;yuehuan888@gmail.com;adibeh.ghazanfari@gmail.com;sonlongh@gmail.com;jpark@kirams.re.kr;ksy0188@kirams.re.kr;hyunsil901002@gmail.com;liushuwen0701@gmail.com;tirukorea@gmail.com;yaseen.knu@gmail.com;saidi@hotmail.com;djzhao.chem@gmail.com;ly1124161@gmail.com;kschae@knu.ac.kr;ychang@knu.ac.kr;ghlee@mail.knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 11 17 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2021 2.838 41.9 0.89 2025-07-30 13 14 polyaspartic acid; gadolinium oxide nanoparticle; magnetic resonance imaging; T-1 and T-2 dual-modal imaging NEPHROGENIC SYSTEMIC FIBROSIS; HIGH-PERFORMANCE; MR; CLEARANCE; COMPLEXES Gadolinium oxide nanoparticle; Magnetic resonance imaging; Polyaspartic acid; T<sub>1</sub> and T<sub>2</sub> dual-modal imaging English 2021 2021-09 10.3390/app11178222 바로가기 바로가기 바로가기 바로가기
Article Postural Instability after Stepping on a Stair in Older Adults: A Pilot Study This study aimed to examine how older adults (OA) control their postural stability after stepping on a stair in comparison to young adults (YA). Ten OA and 10 YA participated in this study. Participants ascended a single stair (15 cm high by 30 cm wide) which was secured atop one of the force plates. Ground reaction forces (GRFs) and center of pressure (COP) motion data were obtained from the force plate under the stair. After standing on the stair with both feet, GRFs and COP data for a 3 s duration were analyzed to assess postural variables, including time to stabilization (TTS), COP velocity (COPVEL), and COP sway area (COPSWAY). A significant difference in TTS in the anterior-posterior direction between OA and YA (p = 0.032) was observed, indicating that OA had difficulty stabilizing their body posture after the stair ascent compared to YA. For COP postural variables, no significant differences in COPVEL (p = 0.455) and COPSWAY (p = 0.176) were observed between OA and YA. Study findings indicate that older adults have less capacity to regain postural stability compared to young adults following a challenging dynamic movement. Lee, Hyokeun; Byun, Kyungseok Vector Biomech Inc, Biomech Res Lab, Seoul 08506, South Korea; Kyungpook Natl Univ, Dept Leisure & Sports, Sangju 37224, South Korea 57373089300; 57374341000 leeh82@gmail.com;vbiomechanics@gmail.com; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 11 24 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2021 2.838 41.9 0.22 2025-07-30 3 3 postural stability; older adults; stepping on a stair; time to stabilization STABILIZATION; NEGOTIATION; FALLS; TIME; RISK Older adults; Postural stability; Stepping on a stair; Time to stabilization English 2021 2021-12 10.3390/app112411885 바로가기 바로가기 바로가기 바로가기
Article Recognition of Vehicle License Plates Based on Image Processing In this study, we have proposed an algorithm that solves the problems which occur during the recognition of a vehicle license plate through closed-circuit television (CCTV) by using a deep learning model trained with a general database. The deep learning model which is commonly used suffers with a disadvantage of low recognition rate in the tilted and low-resolution images, as it is trained with images acquired from the front of the license plate. Furthermore, the vehicle images acquired by using CCTV have issues such as limitation of resolution and perspective distortion. Such factors make it difficult to apply the commonly used deep learning model. To improve the recognition rate, an algorithm which is a combination of the super-resolution generative adversarial network (SRGAN) model, and the perspective distortion correction algorithm is proposed in this paper. The accuracy of the proposed algorithm was verified with a character recognition algorithm YOLO v2, and the recognition rate of the vehicle license plate image was improved 8.8% from the original images. Kim, Tae-Gu; Yun, Byoung-Ju; Kim, Tae-Hun; Lee, Jae-Young; Park, Kil-Houm; Jeong, Yoosoo; Kim, Hyun Deok Kyungpook Natl Univ, Sch Elect Engn, IT Coll, 80 Daehak Ro, Daegu 41566, South Korea; DIPVISION, 80 Daehak Ro, Daegu 41566, South Korea; Daegu Gyeongbuk Med Innovat Fdn, 88 Dongnae Ro, Daegu 41061, South Korea ; Lee, Jae-Young/GWZ-2558-2022; Kim, Yong Joon/IQS-7291-2023 57203390635; 7006416932; 55696523100; 57226163919; 35776805000; 57193450818; 55663858300 play1472@knu.ac.kr;bjisyun@ee.knu.ac.kr;dipvision.ceo@gmail.com;dipvision.ljy@gmail.com;khpark@ee.knu.ac.kr;sysjeong@dgmif.re.kr;hdkim@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 11 14 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2021 2.838 41.9 1.11 2025-07-30 11 20 deep learning; license plate detection; image processing; SRGAN; CCTV image CCTV image; Deep learning; Image processing; License plate detection; SRGAN English 2021 2021-07 10.3390/app11146292 바로가기 바로가기 바로가기 바로가기
Article Reduction of Compression Artifacts Using a Densely Cascading Image Restoration Network Since high quality realistic media are widely used in various computer vision applications, image compression is one of the essential technologies to enable real-time applications. Image compression generally causes undesired compression artifacts, such as blocking artifacts and ringing effects. In this study, we propose a densely cascading image restoration network (DCRN), which consists of an input layer, a densely cascading feature extractor, a channel attention block, and an output layer. The densely cascading feature extractor has three densely cascading (DC) blocks, and each DC block contains two convolutional layers, five dense layers, and a bottleneck layer. To optimize the proposed network architectures, we investigated the trade-off between quality enhancement and network complexity. Experimental results revealed that the proposed DCRN can achieve a better peak signal-to-noise ratio and structural similarity index measure for compressed joint photographic experts group (JPEG) images compared to the previous methods. Lee, Yooho; Park, Sang-hyo; Rhee, Eunjun; Kim, Byung-Gyu; Jun, Dongsan Kyungnam Univ, Dept Convergence IT Engn, Chang Won 51767, South Korea; Kyungpook Natl Univ, Dept Comp Sci & Engn, Daegu 41566, South Korea; Elect & Telecommun Res Inst ETRI, Intelligent Convergence Res Lab, Daejeon 34129, South Korea; Sookmyung Womens Univ, Dept IT Engn, Seoul 04310, South Korea Kim, Dohyun/HKW-6060-2023; Lee, Yooho/NOF-3070-2025 57223295187; 55362514700; 26667880000; 7501567302; 36061894700 yhlee@kyungnam-ispl.kr;s.park@knu.ac.kr;ejrhee@etri.re.kr;bg.kim@sookmyung.ac.kr;dsjun9643@kyungnam.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 11 17 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2021 2.838 41.9 0.15 2025-07-30 4 4 computer vision; deep learning; convolutional neural network; image processing; image restoration; single image artifacts reduction; dense networks; residual networks; channel attention networks QUALITY ASSESSMENT; SUPERRESOLUTION; DEBLOCKING; DIFFUSION; FRAMEWORK Channel attention networks; Computer vision; Convolutional neural network; Deep learning; Dense networks; Image processing; Image restoration; Residual networks; Single image artifacts reduction English 2021 2021-09 10.3390/app11177803 바로가기 바로가기 바로가기 바로가기
Article Reliability and Validity of the Ground Reaction Force Asymmetric Index at Seat-Off as a Measure of Lower Limb Functional Muscle Strength: A Preliminary Study Featured Application The reliability of this newly developed test measuring lower extremity muscle strength using force plate during sit-to stand performance was measured as high, but the validity was poor. To be clinically useful, this test should be further refined by modifying the test protocol and method. This study examined the reliability of the newly developed ground reaction force asymmetry index (GRF AI) at seat-off using a low-cost force plate and the validity of this new test by comparing it with other muscle strength-measuring methods and walking speed. This study was a cross-sectional design in general hospital setting. A convenience sample of 47 community-dwelling adults aged >= 40 years was performed. GRF AI is the measurement value obtained by shifting the weight to the right and left while performing sit-to-stand (STS). GRF AI assessed using GRF data at seat-off during an STS test with maximal weight shift to the right and left side and repeated 4 weeks later. Hip and knee extensor strength were measured using hand-held dynamometry; hand grip strength and walking speed were measured using a standardized method. Intrasessional intrarater reliability of the right and left side at Sessions 1 and 2 were high (intraclass correlation coefficients [ICC] = 0.947 and 0.974; 0.931 and 0.970, respectively). In addition, the intersessional intrarater reliability of a single test trial (ICC = 0.911 and 0.930) and the mean of three test trials (ICC = 0.965 and 0.979) was also high. There was a low correlation between right-side GRF AI and right hand grip strength (r = 0.268) and between left-side GRF AI and left hand grip strength (r = 0.316). No significant correlations were found between the GRF AI and other parameters. Although the reliability of the GRF AI was high, the validity was poor. To be clinically useful, this test should be further refined by modifying the test protocol. Kim, Ae-Ryoung; Park, Dougho; Lee, Yang-Soo Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Rehabil Med, Daegu 41944, South Korea; Pohang Stroke & Spine Hosp, Dept Rehabil Med, Pohang 37659, South Korea Park, Dougho/HHS-3971-2022 57196257330; 57221124200; 57202952463 ryoung20@hanmail.net;parkdougho@gmail.com;leeyangsoo@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 11 14 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2021 2.838 41.9 0.07 2025-07-30 1 1 muscle strength; lower extremity; reliability; validity; force plate SIT-TO-STAND; CLOSED-KINETIC-CHAIN; WEAKNESS; PERFORMANCE; MOVEMENT; POWER; DETERMINANTS; BALANCE; PEOPLE; AGE Force plate; Lower extremity; Muscle strength; Reliability; Validity English 2021 2021-07 10.3390/app11146527 바로가기 바로가기 바로가기 바로가기
Article ReLU Network with Bounded Width Is a Universal Approximator in View of an Approximate Identity Deep neural networks have shown very successful performance in a wide range of tasks, but a theory of why they work so well is in the early stage. Recently, the expressive power of neural networks, important for understanding deep learning, has received considerable attention. Classic results, provided by Cybenko, Barron, etc., state that a network with a single hidden layer and suitable activation functions is a universal approximator. A few years ago, one started to study how width affects the expressiveness of neural networks, i.e., a universal approximation theorem for a deep neural network with a Rectified Linear Unit (ReLU) activation function and bounded width. Here, we show how any continuous function on a compact set of Rnin,nin is an element of N can be approximated by a ReLU network having hidden layers with at most nin+5 nodes in view of an approximate identity. Moon, Sunghwan Kyungpook Natl Univ, Dept Math, Daegu 41566, South Korea 56063426100 sunghwan.moon@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 11 1 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2021 2.838 41.9 0.37 2025-07-30 11 7 deep neural nets; ReLU network; universal approximation theory; a feed-forward neural network A feed-forward neural network; Deep neural nets; ReLU network; Universal approximation theory English 2021 2021-01 10.3390/app11010427 바로가기 바로가기 바로가기 바로가기
Article Resource-Based Quality Performance Estimation Method for Construction Operations Construction quality is one of the primary management objectives relating to duration and cost for construction projects. Project managers struggle with minimizing duration and cost while maximizing quality for construction projects. In construction projects, duration and cost have management priorities. On the other hand, quality is considered a matter of achievement only when it reaches a certain level. Although the importance of quality control in construction management has been constantly discussed, it has still been sacrificed under the goal of shortening construction duration and reducing costs. This study presents a method for estimating the quantitative quality performance of construction operations in which the level of detail is breaking into the work task level for intuitive quality performance evaluation. For this purpose, quality weights of resources that have a proportional quality importance weight and quality performance indexes of resources are utilized for estimating the quantitative quality performance of construction operations. Quality performance estimation and the resource allocation optimization system is presented and validated using a construction simulation model. Park, Young-Jun; Yi, Chang-Yong Kyungpook Natl Univ, Intelligent Construct Automat Ctr, Daegu 41566, South Korea 57191258386; 36614886300 py0307@knu.ac.kr;cyyi@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 11 9 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2021 2.838 41.9 0.44 2025-07-30 6 7 construction quality management; quality estimation; quantitative analysis; construction operation; discrete event simulation TIME-COST-QUALITY; ROAD CONSTRUCTION; SIMULATION; PRODUCTIVITY; MANAGEMENT; EFFICIENCY; SYSTEM Construction operation; Construction quality management; Discrete event simulation; Quality estimation; Quantitative analysis English 2021 2021-05 10.3390/app11094122 바로가기 바로가기 바로가기 바로가기
Article SNR Analysis for Quantitative Comparison of Line Detection Methods The need for line detection in images is growing rapidly due to its importance in many image processing applications. The selection of an appropriate line detection method is essential for accurate detection of line pixels, but few studies provide an analytical basis for selecting a specific line detection method. In this study, to solve the problem, a method to analytically determine the signal-to-noise ratio (SNR) of line detection methods is proposed. Three line detection methods were selected for comparison: edge-detection (ED)-based, second derivative (SD)-based, and the sum of gradient angle differences (SGAD)-based line detection methods. Then, this study quantifies the SNR of the three line detectors through error propagation and signal noise coupling. In addition, the derived SNRs are graphically visualized to explicitly compare the performance of line detectors. Then, the quantified SNRs were validated by showing that they are highly correlated with the completeness and correctness observed in the experiment with a set of natural images. The experimental results show that the proposed SNR analysis can be used to select or design a suitable line detector. 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 11 21 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2021 2.838 41.9 0.22 2025-07-30 5 4 error propagation; line detection; quantitative comparison; signal-to-noise ratio BLUR IDENTIFICATION; RIDGE DETECTION; EXTRACTION; IMAGE; PARAMETERS; VALLEYS Error propagation; Line detection; Quantitative comparison; Signal-to-noise ratio English 2021 2021-11 10.3390/app112110088 바로가기 바로가기 바로가기 바로가기
Article Space-Constrained Scheduling Optimization Method for Minimizing the Effects of Stacking of Trades Existing SCS (space-constrained scheduling) studies fall short of minimizing the effect of the stacking of trades that decline productivity due to an increase in resources within a physically limited work area. This article presents a space-constrained scheduling optimization (i.e., SSO) method for minimizing the stacking of trades. It imports schedule information from the project database, extracts IFC files of construction site area from the BIM model, defines the occupation density function of each activity to track the level of stacking of trades, and identifies the optimal solution (i.e., the optimal set of pairs of execution pattern alternatives and start times of activities) by implementing genetic algorithm (GA) optimization analysis. The study is of value to practitioners because SSO provides an easy-to-use computerized tool that reduces the lengthy computations relative to data processing and GAs. Test cases verify the validity of the computational method. Gwak, Han-Seong; Shin, Won-Sang; Park, Young-Jun Construct Engn Policy Inst Korea, Seoul 06098, South Korea; Kyungpook Natl Univ, Intelligent Construct Automat Ctr, Daegu 41566, South Korea Gwak, Hanseong/AAW-6131-2021 56800359900; 57222735465; 57191258386 hsgwak@cepik.re.kr;wsshin@cepik.re.kr;py0307@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 11 22 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2021 2.838 41.9 0.15 2025-07-30 2 3 workspace; productivity; scheduling; genetic algorithm; optimization CONSTRUCTION; MANAGEMENT; MODEL Genetic algorithm; Optimization; Productivity; Scheduling; Workspace English 2021 2021-11 10.3390/app112211047 바로가기 바로가기 바로가기 바로가기
Article Spatial Controls of Ligamentous Tissue Orientations Using the Additively Manufactured Platforms in an In Vivo Model: A Pilot Study The periodontal ligaments (PDLs) with specific orientations to tooth-root surfaces play a key role in generating biomechanical responses between the alveolar bone and cementum as a tooth-supporting tissue. However, control of angulations and regeneration of the ligamentous tissues within micron-scaled interfaces remains challenging. To overcome this limitation, this study investigated surface fabrications with microgroove patterns to control orientations of rat PDL cells in vitro and fibrous tissues in vivo. After being harvested, rat PDL cells were cultured and three different microgroove patterns (angle PDL groove = 0 degrees, angle PDL groove = 45 degrees, and angle PDL groove = 90 degrees) were created by the digital slicing step in 3D printing. Cell-seeded scaffolds were subcutaneously transplanted at 3 and 6 weeks. In histology images, rat PDL cells were spatially controlled to angularly organize following the microgroove patterns and fibrous tissues were formed in scaffolds with specific angulations, which were reflected by additively manufactured microgroove topographies. Based on the results, specifically characterized surface topographies were significant to directly/indirectly organizing rat PDL cell alignments and fibrous tissue orientations. Therefore, interactions between surface topographies and tissue organizations could be one of the key moderators for the multiple tissue complex (bone-ligament-cementum) neogenesis in periodontal tissue engineering. Kim, Min Guk; Park, Chan Ho Kyungpook Natl Univ, Sch Dent, Dept Dent Biomat, Daegu 41940, South Korea; Kyungpook Natl Univ, Grad Sch, Dept Dent Sci, Daegu 41940, South Korea; Kyungpook Natl Univ, Inst Biomat Res & Dev, Daegu 41940, South Korea 57026505500; 55728043300 minguk.kim@knu.ac.kr;chanho@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 11 17 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2021 2.838 41.9 0 2025-07-30 1 1 periodontal ligament (PDL); biomaterials; regenerative medicine; tissue engineering; 3D printing; periodontal tissue FIBROBLAST-GROWTH-FACTOR; PERIODONTAL-LIGAMENT; BONE; REGENERATION; BIOMATERIALS; SCAFFOLDS; CELLS 3D printing; Biomaterials; Periodontal ligament (PDL); Periodontal tissue; Regenerative medicine; Tissue engineering English 2021 2021-09 10.3390/app11177847 바로가기 바로가기 바로가기 바로가기
Article State-Burst Feedback Control for Fault Recovery of Input/State Asynchronous Sequential Machines Static corrective controllers are more efficient than dynamic ones since they consist of only logic elements, whereas their existence conditions are more restrictive. In this paper, we present a static corrective control scheme for fault diagnosis and fault tolerant control of input/state asynchronous sequential machines (ASMs) vulnerable to transient faults. The design flexibility of static controllers is enlarged by virtue of using a diagnoser and state bursts. Necessary and sufficient conditions for the existence of a diagnoser and static fault tolerant controller are presented, and the process of controller synthesis is addressed based on the derived condition. Illustrative examples on practical ASMs are provided to show the applicability of the proposed scheme. Yang, Jung-Min; Park, Seong-Jin; Kwak, Seong Woo Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea; Ajou Univ, Dept Elect & Comp Engn, Suwon 16499, South Korea; Pukyong Natl Univ, Dept Control & Instrumentat Engn, Busan 48513, South Korea 57208450551; 57188837512; 59816855300 jmyang@ee.knu.ac.kr;parksjin@ajou.ac.kr;ksw@pknu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 11 21 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2021 2.838 41.9 0 2025-07-30 0 0 asynchronous sequential machines (ASMs); static corrective control; fault tolerant control; diagnoser; state bursts DISCRETE-EVENT SYSTEMS; INPUT/OUTPUT CONTROL; TOLERANT CONTROL; DIAGNOSIS; MITIGATION Asynchronous sequential machines (ASMs); Diagnoser; Fault tolerant control; State bursts; Static corrective control English 2021 2021-11 10.3390/app11219790 바로가기 바로가기 바로가기 바로가기
Article Study on the Increase of the Supporting Capacity of a Cement Milk Pile with Expansive Additives In this study, an engineering characteristic test was conducted on cement milk using expansive additives during the construction of bored piles. Expansive additive mixtures with various mixing ratios were prepared according to the construction standards of the Korea Expressway Corporation. Segregation resistance, compressive strength, frictional resistance stress, scanning electron microscope images, porosity, and economic feasibility were analyzed. It was found that segregation effects due to expansive additive incorporation were insignificant, and it was confirmed that all specimens exceeded 0.5 N/mm(2), the compressive strength standard of the Korea Expressway Corporation pile bearing capacity. Given a water-binder ratio of 83% mixed with 10% expansive additives, frictional resistance increased up to ~35%, skin friction force was significantly improved, and a cost-saving effect of up to ~33.24% was achieved. Choi, Hyeonggil; Lee, Taegyu; Choi, Heesup; Lee, Kangsoo; Lee, Dong-Eun Kyungpook Natl Univ, Sch Architecture Civil Environm & Energy Engn, 80 Daehakro, Daegu 41566, South Korea; Semyung Univ, Dept Fire & Disaster Prevent, 65 Semyung Ro, Jecheon Si 27136, South Korea; Kitami Inst Technol, Dept Civil & Environm Engn, Kitami, Hokkaido 0908507, Japan; Yojin Construct & Engn, Dept Civil & Environm Engn, Yojin Bldg 168 Dosan Daero, Seoul 06040, South Korea 56430165800; 7501437272; 56430170700; 57316119400; 56605563300 hgchoi@knu.ac.kr;ltg777@semyung.ac.kr;hs-choi@mail.kitami-it.ac.jp;zinnyylove@naver.com;dolee@knu.ac.kr; APPLIED SCIENCES-BASEL APPL SCI-BASEL 2076-3417 11 21 SCIE CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED 2021 2.838 41.9 0 2025-07-30 0 0 bored pile; cement milk; expansive additives; skin friction force; frictional resistance SHRINKAGE BEHAVIOR Bored pile; Cement milk; Expansive additives; Frictional resistance; Skin friction force English 2021 2021-11 10.3390/app11219922 바로가기 바로가기 바로가기 바로가기
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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.