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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 | A Shader-Based Ray Tracing Engine | Recently, ray tracing techniques have been highly adopted to produce high quality images and animations. In this paper, we present our design and implementation of a real-time ray-traced rendering engine. We achieved real-time capability for triangle primitives, based on the ray tracing techniques on GPGPU (general-purpose graphics processing unit) compute shaders. To accelerate the ray tracing engine, we used a set of acceleration techniques, including bounding volume hierarchy, its roped representation, joint up-sampling, and bilateral filtering. Our current implementation shows remarkable speed-ups, with acceptable error values. Experimental results shows 2.5-13.6 times acceleration, and less than 3% error values for the 95% confidence range. Our next step will be enhancing bilateral filter behaviors. | Park, Sukjun; Baek, Nakhoon | KOG Inc, Daegu 41937, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Data Convergence Comp, Daegu 41566, South Korea; Dassomey Com Inc, Daegu 41566, South Korea | 57212930681; 7007017954 | pos02232@gmail.com;oceancru@gmail.com; | APPLIED SCIENCES-BASEL | APPL SCI-BASEL | 2076-3417 | 11 | 7 | SCIE | CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED | 2021 | 2.838 | 41.9 | 0.22 | 2025-07-30 | 3 | 4 | ray tracing; acceleration; bilateral up-sampling | Acceleration; Bilateral up-sampling; Ray tracing | English | 2021 | 2021-04 | 10.3390/app11073264 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||||
| ○ | ○ | Article | A Study on the Manufacture of Permanent Magnet Traction Control Valve for Electronic Stability Control in Electric Vehicles | Most solenoid valves in use today require a magnetic coil to be continuously energized to maintain the magnetization of the magnetic body in order to operate. The problem is that if the power is still supplied, the power consumption will continue. In addition, problems such as shortening the lifespan of solenoid valve internal parts due to the increase in the internal temperature of the electronic stability control (ESC) due to the continuous heating of the magnetic coil, and malfunction due to instantaneous power failure may occur. In this study, we conducted a study on the permanent magnet traction control valve (TCV) for ESC that can minimize the unnecessary power consumption of electric vehicle batteries. For optimal permanent magnet design, polarity direction setting and permanent magnet specifications were studied through FE simulation. A permanent magnet TCV was fabricated and an electromagnetic force test was conducted to compare and evaluate it with the FE simulation result. By using a permanent magnet, it was possible to lower the initial current value for the TCV to drive, therefore, it was possible to develop a permanent magnet TCV that can minimize the unnecessary power consumption of electric vehicle batteries. | Lee, Hak-Sun; Park, Sang-Gyun; Hong, Myoung-Pyo; Lee, Han-Jin; Kim, Young-Suk | SUNGJIN FO MA Inc, R&D Ctr, 93 Dalseodaero 109 Gil, Daegu 42710, South Korea; Korea Inst Ind Technol, Extreme Fabricat Technol Grp, 320 Techno Sunhwan Ro, Daegu 42994, South Korea; erae Automot Syst Co Ltd, Tech Ctr, 664 Nongong Ro, Daegu 42981, South Korea; Kyungpook Natl Univ, Sch Mech Engn, Daugu 41566, South Korea | Kim, Sang-Hoon/AAA-2248-2020 | 57192280260; 57238449000; 57192270657; 57238271800; 36065820800 | eddyhak@gmail.com;hslee1@sjfoma.com;mp77@kitech.re.kr;Hanjin.lee@erae-automotive.com;caekim@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 | 0.52 | 2025-07-30 | 5 | 7 | electromagnetic field analysis; electronic stability control; permanent magnet; traction control valve; electric vehicle | SOLENOID VALVE; SYSTEM; DESIGN; PARAMETERS; MANAGEMENT; MODEL | Electric vehicle; Electromagnetic field analysis; Electronic stability control; Permanent magnet; Traction control valve | English | 2021 | 2021-09 | 10.3390/app11177794 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Aerodynamic Shape Optimization of NREL S809 Airfoil for Wind Turbine Blades Using Reynolds-Averaged Navier Stokes Model-Part II | Sustainability has become one of the most significant considerations in everyday work, including energy production. The fast-growing trend of wind energy around the world has increased the demand for efficient and optimized airfoils, which has paved the way for energy harvesting systems. The present manuscript proposes an aerodynamically optimized design of the well-known existing NREL S809 airfoil for performance enhancement of the blade design for wind turbines. An integrated code, based on a genetic algorithm, is developed to optimize the asymmetric NREL S809 airfoil by class shape transformation (CST) and the parametric section (PARSEC) parameterization method, analyzing its aerodynamic properties and maximizing the lift of the airfoil. The in-house MATLAB code is further incorporated with XFOIL to calculate the coefficient of lift, coefficient of drag and lift-to-drag ratio at angles of attack of 0 degrees and 6.2 degrees by the panel technique and validated with National Renewable Energy Laboratory (NREL) experimental results provided by The Ohio State University (OSU). On the other hand, steady-state CFD analysis is performed on an optimized S809 airfoil using the Reynolds-averaged Navier-Stokes (RANS) equation with the K-omega shear stress transport (SST) turbulent model and compared with the experimental data. The present method shows that the optimized airfoil by CST is predicted, with an increment of 11.8% and 9.6% for the lift coefficient and lift-to-drag ratio, respectively, and desirable stability parameters obtained for the design of the wind turbine blades. These characteristics significantly improve the overall aerodynamic performance of new optimized airfoils. Finally, the aerodynamically improved results are reported for the design of the NREL Phase II, Phase III and Phase VI HAWT blades. | Akram, Md Tausif; Kim, Man-Hoe | Pusan Natl Univ, Sch Mech Engn, Pusan 46241, South Korea; Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, IEDT, Daegu 41566, South Korea | Akram, Md Tausif/KVB-5428-2024 | 57222374962; 55686310000 | tausifakram21@gmail.com;manhoe.kim@knu.ac.kr; | APPLIED SCIENCES-BASEL | APPL SCI-BASEL | 2076-3417 | 11 | 5 | SCIE | CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED | 2021 | 2.838 | 41.9 | 1.18 | 2025-07-30 | 19 | 21 | wind turbine airfoil; aerodynamic shape optimization; airfoil; class shape transformation (CST); PARSEC; optimization; genetic algorithm; CFD simulation | Aerodynamic shape optimization; Airfoil; CFD simulation; Class shape transformation (CST); Genetic algorithm; Optimization; PARSEC; Wind turbine airfoil | English | 2021 | 2021-03 | 10.3390/app11052211 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Analysis of Multiresidue Pesticides in Agricultural Paddy Soils Near Industrial Areas in Korea by GC-MS/MS and LC-MS/MS Using QuEChERS Extraction with dSPE Clean-Up | Featured Application Monitoring of residual pesticides in the environment is necessary to predict the impact of pesticide residue on ecosystems and human health. Pesticides have been used to control pests in agricultural fields and storage systems before circulating agricultural products to markets. A tandem mass spectrometry, equipped with gas chromatographic separation (GC-MS/MS) or ultra-performance liquid chromatographic separation (LC-MS/MS), was used to monitor residual pesticides in Korean rice paddy soils. Selective multiple reaction monitoring was employed during the analyses to achieve multiresidue pesticide analysis using GC-MS/MS and LC-MS/MS of 342 pesticides. In this study, QuEChERS extraction was employed with a dSPE clean-up to establish an effective pretreatment process. The limit of detection (LOD) and limit of quantification (LOQ) were set up for all pesticides, and method validation was performed for linearity and recovery at levels of 10 and 50 mg kg(-1) in the untreated soil sample. All pesticides satisfied the acceptable recovery range of 70-120%, within less than 20% RSD values, except for ametoctradin and gibberellic acid. In the paddy soil analyses, tricyclazole was the most frequently detectable pesticide, followed by oxadiazon, endosulfan, and chlorantraniliprole. Continuous monitoring of residual pesticides in paddy soils should be conducted due to the translocation of some systemic pesticides from soils to crop plants, and the impact of residual pesticides on the environment. | Jo, Hyeong-Wook; Park, Min-Goo; Jeon, Hwang-Ju; Moon, Joon-Kwan; Lee, Sung-Eun | Hankyong Natl Univ Ind Acad Cooperat Fdn, Hansalim Agrofood Anal Ctr, Suwon 16500, South Korea; Anim & Plant Quarantine Agcy APQA, Dept Plant Quarantine, Gimcheon Si 39660, South Korea; Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea; Hankyong Natl Univ, Sch Plant Resourves & Landcape Architecture, Anseong 17579, South Korea; Kyungpook Natl Univ, Dept Integrat Biol, Daegu 41566, South Korea | ; Park, Min-Goo/AAV-5273-2020; Jeon, Hwangju/JDW-9035-2023 | 56763478100; 57213595173; 56328792200; 8536720000; 55890041600 | hyeongwook.jo@hknu.ac.kr;pmg@korea.kr;jeonhj@knu.ac.kr;jkmoon264@gmail.com;selpest@knu.ac.kr; | APPLIED SCIENCES-BASEL | APPL SCI-BASEL | 2076-3417 | 11 | 18 | SCIE | CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED | 2021 | 2.838 | 41.9 | 0.89 | 2025-07-30 | 15 | 12 | multiresidue pesticide analysis; paddy soils; GC-MS; MS; LC-MS; MS; QuEChERS extraction | SOLID-PHASE EXTRACTION; RICE | GC–MS/MS; LC–MS/MS; Multiresidue pesticide analysis; Paddy soils; QuEChERS extraction | English | 2021 | 2021-09 | 10.3390/app11188415 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Anti-Inflammatory and Antioxidant Effects of Soroseris hirsuta Extract by Regulating iNOS/NF-κB and NRF2/HO-1 Pathways in Murine Macrophage RAW 264.7 Cells | Until now, the physiological effects of Soroseris hirsuta were primarily unknown. Here we have evaluated the anti-inflammatory and antioxidant effects of Soroseris hirsuta extract (SHE) on lipopolysaccharide (LPS)-activated murine macrophages RAW 264.7 cells. SHE inhibited nitric oxide expression and inducible nitric oxide synthase expression in RAW 264.7 cells treated with LPS. Moreover, SHE suppressed LPS-induced phosphorylation of I kappa B kinase, inhibitor of kappa B, p65, p38, and c-JUN N-terminal kinase. Western blot and immunofluorescence analyses showed that SHE suppressed p65 nuclear translocation induced by LPS. Furthermore, SHE inhibited the reactive oxygen species in LPS-treated RAW 264.7 cells. SHE significantly increased heme oxygenase-1 expression and the nuclear translocation of nuclear factor erythroid 2-related factor 2. SHE suppressed LPS-induced interleukin-1 beta mRNA expression in RAW 264.7 cells. Thus, SHE is a promising nutraceutical as it displays anti-inflammatory and antioxidant properties. | Lee, Woo Jin; Li, Wan Yi; Lee, Sang Woo; Jung, Sung Keun | Kyungpook Natl Univ, Sch Food Sci & Biotechnol, Daegu 41566, South Korea; Yunnan Acad Agr Sci, Inst Med Plants, Kunming 650224, Yunnan, Peoples R China; Korea Res Inst Biosci & Biotechnol, Int Biol Mat Res Ctr, Daejeon 34141, South Korea; Kyungpook Natl Univ, Inst Agr Sci & Technol, Daegu 41566, South Korea | Wang, Jian/AAE-4412-2020; Jung, SUNG KEUN/AGR-2623-2022; Lee, Sang/P-4462-2019 | 57377138800; 54884745000; 7601398671; 35310491400 | tkdydwk466@knu.ac.kr;wyli2012@126.com;ethnolee@kribb.re.kr;skjung04@knu.ac.kr; | APPLIED SCIENCES-BASEL | APPL SCI-BASEL | 2076-3417 | 11 | 10 | SCIE | CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED | 2021 | 2.838 | 41.9 | 0.37 | 2025-07-30 | 6 | 6 | Soroseris hirsuta; anti-inflammation; antioxidant; nitric oxide; heme oxygenase-1 | LPS-INDUCED INFLAMMATION; REACTIVE OXYGEN; NITRIC-OXIDE; OXIDATIVE STRESS; FIBROSIS; RESPONSES; CANCER; SIGNAL | Anti-inflammation; Antioxidant; Heme oxygenase-1; Nitric oxide; Soroseris hirsuta | English | 2021 | 2021-05 | 10.3390/app11104711 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Application of Various YOLO Models for Computer Vision-Based Real-Time Pothole Detection | Pothole repair is one of the paramount tasks in road maintenance. Effective road surface monitoring is an ongoing challenge to the management agency. The current pothole detection, which is conducted image processing with a manual operation, is labour-intensive and time-consuming. Computer vision offers a mean to automate its visual inspection process using digital imaging, hence, identifying potholes from a series of images. The goal of this study is to apply different YOLO models for pothole detection. Three state-of-the-art object detection frameworks (i.e., YOLOv4, YOLOv4-tiny, and YOLOv5s) are experimented to measure their performance involved in real-time responsiveness and detection accuracy using the image set. The image set is identified by running the deep convolutional neural network (CNN) on several deep learning pothole detectors. After collecting a set of 665 images in 720 x 720 pixels resolution that captures various types of potholes on different road surface conditions, the set is divided into training, testing, and validation subsets. A mean average precision at 50% Intersection-over-Union threshold (mAP₀.₅) is used to measure the performance of models. The study result shows that the mAP₀.₅ of YOLOv4, YOLOv4-tiny, and YOLOv5s are 77.7%, 78.7%, and 74.8%, respectively. It confirms that the YOLOv4-tiny is the best fit model for pothole detection. | Park, Sung-Sik; Tran, Van-Than; Lee, Dong-Eun | Kyungpook Natl Univ, Dept Civil Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Architectural Engn, Daegu 41566, South Korea | 36241850300; 57226524301; 56605563300 | dolee@knu.ac.kr; | APPLIED SCIENCES-BASEL | APPL SCI-BASEL | 2076-3417 | 11 | 23 | SCIE | CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED | 2021 | 2.838 | 41.9 | 5.76 | 2025-07-30 | 52 | 97 | computer vision; real-time; pothole detection; deep learning; YOLO | Computer vision; Deep learning; Pothole detection; Real-time; YOLO | English | 2021 | 2021-12 | 10.3390/app112311229 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||||
| ○ | ○ | Article | Association between depression or sleep problems and working time mismatch among Korean workers | Purpose This study aimed to investigate the relationship between South Korean workers' working time mismatches and their depression and sleep disorders. Design and Methods This study used raw data from the fifth Korean Working Conditions Survey (KWCS), which sampled 50,205 workers. Findings The risk of occurrence of sleep problems among workers was shown to be proportional to actual working time. The risk of occurrence of depression increased along with the degree of working time mismatch. Practice Implications To improve the health and welfare of workers, making a policy and labor culture that relieve working time mismatch is important. | Lee, Eunmi; Kim, Yujeong; Lee, Haeyoung | Hoseo Univ, Dept Nursing, Asan, Chungcheongnam, South Korea; Kyungpook Natl Univ, Coll Nursing, Daegu, South Korea; Chung Ang Univ, Red Cross Coll Nursing, 84 Heukseok Ro, Seoul 06974, South Korea | Lee, Eunmi/AAS-2561-2020; Lee, Haeyoung/NRA-8461-2025 | 57202264064; 57200941945; 57205471062 | im0202@cau.ac.kr; | PERSPECTIVES IN PSYCHIATRIC CARE | PERSPECT PSYCHIATR C | 0031-5990 | 1744-6163 | 57 | 3 | SCIE;SSCI | NURSING;PSYCHIATRY | 2021 | 2.223 | 41.9 | 0.1 | 2025-07-30 | 1 | 1 | depression; overemployment; sleep; underemployment; working time mismatch | UNDEREMPLOYMENT; DISORDERS | depression; overemployment; sleep; underemployment; working time mismatch | Depression; Humans; Republic of Korea; Sleep Wake Disorders; Surveys and Questionnaires; depression; human; questionnaire; sleep disorder; South Korea | English | 2021 | 2021-07 | 10.1111/ppc.12694 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Augmented CWT Features for Deep Learning-Based Indoor Localization Using WiFi RSSI Data | Localization is one of the current challenges in indoor navigation research. The conventional global positioning system (GPS) is affected by weak signal strengths due to high levels of signal interference and fading in indoor environments. Therefore, new positioning solutions tailored for indoor environments need to be developed. In this paper, we propose a deep learning approach for indoor localization. However, the performance of a deep learning system depends on the quality of the feature representation. This paper introduces two novel feature set extractions based on the continuous wavelet transforms (CWT) of the received signal strength indicators' (RSSI) data. The two novel CWT feature sets were augmented with additive white Gaussian noise. The first feature set is CWT image-based, and the second is composed of the CWT PSD numerical data that were dimensionally equalized using principal component analysis (PCA). These proposed image and numerical data feature sets were both evaluated using CNN and ANN models with the goal of identifying the room that the human subject was in and estimating the precise location of the human subject in that particular room. Extensive experiments were conducted to generate the proposed augmented CWT feature set and numerical CWT PSD feature set using two analyzing functions, namely, Morlet and Morse. For validation purposes, the performance of the two proposed feature sets were compared with each other and other existing feature set formulations. The accuracy, precision and recall results show that the proposed feature sets performed better than the conventional feature sets used to validate the study. Similarly, the mean localization error generated by the proposed feature set predictions was less than those of the conventional feature sets used in indoor localization. More particularly, the proposed augmented CWT-image feature set outperformed the augmented CWT-PSD numerical feature set. The results also show that the Morse-based feature sets trained with CNN produced the best indoor positioning results compared to all Morlet and ANN-based feature set formulations. | Ssekidde, Paul; Steven Eyobu, Odongo; Han, Dong Seog; Oyana, Tonny J. | Makerere Univ, Sch Comp Informat Technol, Dept Networks, Plot 56,Pool Rd,POB 7062, Kampala, Uganda; Makerere Univ, Sch Comp Informat Technol, Geospatial Data & Computat Intelligence Lab, Plot 56,Pool Rd,POB 7062, Kampala, Uganda; Kyungpook Natl Univ, Sch Elect Engn, 80 Daehak Ro, Daegu 41566, South Korea | ; Eyobu, Odongo/ABD-9473-2020; Han, Dong Seog/N-8949-2018 | 57222186495; 57190814517; 7403219442; 6506386729 | pssekidde@cis.mak.ac.ug;sodongo@cis.mak.ac.ug;dshan@knu.ac.kr;toyana@cis.mak.ac.ug; | APPLIED SCIENCES-BASEL | APPL SCI-BASEL | 2076-3417 | 11 | 4 | SCIE | CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED | 2021 | 2.838 | 41.9 | 3.17 | 2025-07-30 | 39 | 47 | indoor localization; data augmentation; continuous wavelet transform; deep learning | Continuous wavelet transform; Data augmentation; Deep learning; Indoor localization | English | 2021 | 2021-02 | 10.3390/app11041806 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Brassica oleracea Prevents HCl/Ethanol-Induced Gastric Damages in Mice | Brassica oleracea var. capitata L. (cabbage) is a popular vegetable with a wide range of pharmacological activities that help to promote human health. The present study investigated the beneficial effects of B. oleracea var. capitata L. extract (BOE) on HCl/ethanol (H/E)-induced gastric damages in mice. Pre-administration of BOE (25-100 mg/kg) for 7 consecutive days significantly decreased macroscopically visible lesion on the gastric mucosa induced by H/E. In addition, results from hematoxylin and eosin-stained gastric tissue showed that BOE inhibited invaded percentage of lesion and prevented the reduction in mucosal thickness in peri-ulcerative region. BOE significantly alleviated the H/E-mediated decreases in Alcian blue binding, total hexose, sialic acid, and collagen in the gastric tissue, suggesting BOE attenuates the gastric damage via preserving the integrity of gastric mucus. Moreover, BOE significantly decreased histamine level in the plasma and reduced mRNA levels associated with secreting gastric acid. Furthermore, BOE inhibited myeloperoxidase activity and suppressed nuclear factor-kappa B mRNA and its dependent inflammatory genes expression induced by H/E. BOE also strengthened antioxidant enzyme activity, with a mitigating H/E-mediated increase in malondialdehyde level of the gastric tissue. Thus, these results suggest that BOE has the potential to protect the gastric tissue via inhibiting gastric acid secretion, inflammation, and oxidative stress. | Kim, Mi-Ryung; Kim, Tae-Il; Choi, Beom-Rak; Kim, Moon Bong; Cho, Il Je; Lee, Keun-Woo; Ku, Sae Kwang | Kyungpook Natl Univ, Coll Vet Med, Daegu 41566, South Korea; Nutracore Co Ltd, Suwon 16514, Gyeonggi Do, South Korea; Echo Trading Co, Seongnam 13596, Gyeonggi Do, South Korea; Daegu Haany Univ, Coll Korean Med, Gyongsan 38610, Gyeongsangbuk D, South Korea | ; Kim, Dong Ki/J-5389-2012 | 59446102700; 57189577052; 56595969400; 57221269534; 36241202500; 56118254400; 7006331005 | karimaker@knu.ac.kr;dvmkti@knu.ac.kr;brchoi@nutracore.co.kr;mannatech@echot.co.kr;skek023@dhu.ac.kr;kwolee@knu.ac.kr;gucci200@dhu.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 | 0.52 | 2025-07-30 | 3 | 7 | Brassica oleracea var; capitata L; extract (BOE); HCl/ethanol (H/E)-induced gastric damage; antioxidant; anti-inflammation | METHYLMETHIONINE-SULFONIUM CHLORIDE; BARLEY EXTRACT FBE; VAR. CAPITATA; VITAMIN U; METHANOL EXTRACT; MUCOSAL DAMAGE; ACETIC-ACID; CABBAGE; ETHANOL; INJURY | Anti-inflammation; Antioxidant; Brassica oleracea var. capitata L. extract (BOE); HCl/ethanol (H/E)-induced gastric damage | English | 2021 | 2021-01 | 10.3390/app11010016 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Caregivers' psychological suffering and posttraumatic growth after patient death | Purpose This study aimed to identify the association between caregivers' psychological suffering and posttraumatic growth (PTG) after patient death. Design and Methods Participants were a total of 254 caregivers, including nurses, nursing assistants, social workers, and care workers. Findings Higher psychological suffering, in terms of expanding self-consciousness, change of values, and spiritual sublimation, had a positive correlation with PTG. For nurses and nursing assistants, the change of values and spiritual sublimation had a positive correlation with PTG. For social workers, the higher self-consciousness was associated with greater PTG. For care workers, the expanded self-consciousness and lower helplessness had a positive correlation with PTG. Practice Implications These findings will serve as a basis for the development of supportive programs to assist caregivers in improving PTG after patient death. | Lee, Eunmi; Kim, Yujeong | Hoseo Univ, Dept Nursing, Asan, Chungcheongnam, South Korea; Kyungpook Natl Univ, Coll Nursing, 680 Gukchabosangro, Daegu 41944, South Korea | Lee, Eunmi/AAS-2561-2020 | 57202264064; 57200941945 | cybericu@naver.com; | PERSPECTIVES IN PSYCHIATRIC CARE | PERSPECT PSYCHIATR C | 0031-5990 | 1744-6163 | 57 | 3 | SCIE;SSCI | NURSING;PSYCHIATRY | 2021 | 2.223 | 41.9 | 0.38 | 2025-07-30 | 6 | 4 | caregivers; death; posttraumatic growth | EXPERIENCES; NURSES; CARE; END | caregivers; death; posttraumatic growth | Adaptation, Psychological; Anxiety; Caregivers; Health Personnel; Humans; Posttraumatic Growth, Psychological; Stress Disorders, Post-Traumatic; adult; article; caregiver; consciousness; controlled study; defense mechanism; helplessness; human; nursing assistant; posttraumatic growth (psychology); social worker; anxiety; caregiver; coping behavior; health care personnel; posttraumatic stress disorder | English | 2021 | 2021-07 | 10.1111/ppc.12693 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | CFD Analysis and Shape Optimization of Airfoils Using Class Shape Transformation and Genetic Algorithm-Part I | This paper presents the parameterization and optimization of two well-known airfoils. The aerodynamic shape optimization investigation includes the subsonic (NREL S-821) and transonic airfoils (RAE-2822). The class shape transformation is employed for parametrization while the genetic algorithm is used for optimization purposes. The absolute scheme of the optimization process is carried out for the minimization of the drag coefficient and maximization of lift to drag ratio. In-house MATLAB code is incorporated with a genetic algorithm to calculate the drag coefficient and lift to drag ratio of the resulting optimized airfoil. The panel method is utilized in genetic algorithm optimization code to calculate pressure distribution, lift coefficient, and lift to drag ratio for optimized airfoil shapes and validates with XFOIL and NREL experimental data. Furthermore, CFD analysis is conducted for both the original (NREL S-821) and optimized airfoil obtained. The present method shows that the optimized airfoil achieved an improvement in lift to drag ratio by 7.4% and 15.9% of S-821 and RAE-2822 airfoil, respectively, by the panel technique method and provides high design desirable stability parameters. These features significantly improve the overall aerodynamic performance of the newly optimized airfoils. Finally, the improved aerodynamics results are reported for the design of turbulence modeling and NREL phase II, Phase III, and Phase VI HAWT blades. | Akram, Md Tausif; Kim, Man-Hoe | Pusan Natl Univ, Sch Mech Engn, Pusan 46241, South Korea; Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, IEDT, Daegu 41566, South Korea | Akram, Md Tausif/KVB-5428-2024 | 57222374962; 55686310000 | tausifakram21@gmail.com;manhoe.kim@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 | 1.62 | 2025-07-30 | 20 | 25 | wind turbine; renewable energy; aerodynamic optimization; genetic algorithm; computational fluid dynamics | WIND TURBINE SYSTEM; AERODYNAMIC PERFORMANCE; INVERSE DESIGN; PARAMETERIZATION; FLOW; PARSEC | Aerodynamic optimization; Computational fluid dynamics; Genetic algorithm; Renewable energy; Wind turbine | English | 2021 | 2021-05 | 10.3390/app11093791 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Comparison of Optimal Control Designs for a 5 MW Wind Turbine | Optimal controllers, namely Model Predictive Control (MPC), H-infinity Control (H-infinity), and Linear Quadratic Gaussian control (LQG), are designed for a 5 MW horizontal-axis variable-speed wind turbine. The control design models required as part of the optimal control design are obtained by using a high fidelity aeroelastic model (i.e., DNV Bladed). The optimal controllers are eventually designed in three operating modes: below-rated, just below-rated, and above rated-wind speeds, based on linearized control design models. The linearized models are reduced by using a model reduction technique to facilitate the design of optimal controllers. The controllers are analyzed not only in the time domain but also in the frequency domain and on the torque/speed plane. Simulation results demonstrated that optimal controllers perform better than the standard proportional-integral-derivative (PID) controller, particularly for removing oscillation due to the drive-train mode without incorporating a drive-train damper. | Reddy, Yiza-srikanth; Hur, Sung-ho | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea | 57225000837; 36455858700 | srikanth_932@knu.ac.kr;hur.s.h@ieee.org; | APPLIED SCIENCES-BASEL | APPL SCI-BASEL | 2076-3417 | 11 | 18 | SCIE | CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED | 2021 | 2.838 | 41.9 | 0.81 | 2025-07-30 | 11 | 13 | model predictive control; H-infinity control; linear quadratic Gaussian; PID; wind turbine control | H<sub>∞</sub> control; Linear quadratic Gaussian; Model predictive control; PID; Wind turbine control | English | 2021 | 2021-09 | 10.3390/app11188774 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||||
| ○ | ○ | Article | Comparison of the Accuracy of Intraoral Scanners Based on the Type of Tooth Preparation for a Single Crown | The purpose of this study was to evaluate the accuracy of intraoral scanners in 10 abutments (five premolars and five molars) obtained in a dental clinic and to analyze the impacts of the volume and area of abutments on scanning accuracy. Abutment casts were scanned five times with a 3D contact scanner (DS10; Renishaw plc). The five scan files were lined up and then merged, and one high-resolution computer-aided design reference model (CRM) was obtained. To obtain a computer-aided design test model (CTM), three types of intraoral scanners (CS3600 (Carestream Dental), i500 (Medit), and EZIS PO (DDS)) and one type of laboratory scanner (E1; 3Shape) were employed. Using 3D analysis software (Geomagic control X; 3D Systems), the accuracy of the scanners was evaluated, including optimal overlap by optimal alignment. The conformity of the overlapped data was calculated by the root mean square (RMS) value, using the 3D compare function for evaluation. As for statistical analysis, testing was conducted, using one-way and two-way ANOVA and the Tukey HSD test (alpha = 0.05) for the comparison of the groups. To analyze the correlations of the volume and area of the abutments with accuracy, Pearson's correlation analysis was conducted (alpha = 0.00625). Both premolar and molar abutments showed a lower RMS value on the laboratory scanner than on the intraoral scanners, and the RMS value was lower in premolars than in molars (p < 0.001). In the intraoral scanner group, CS3600 showed the best accuracy (p < 0.001). There were significant positive correlations for the volume and area of the abutments with accuracy (p < 0.001). The type, volume, and area of the clinically applicable abutments may affect the accuracy of intraoral scanners; however, the scanners used in the present study showed a clinically acceptable accuracy range, regardless of the type of abutment. | Lee, Dong-Geun; Son, Keunbada; Lee, Kyu-Bok | Kyungpook Natl Univ, Sch Dent, Dept Prosthodont, Daegu 41940, South Korea; Kyungpook Natl Univ, Grad Sch, Dept Dent Sci, Daegu 41940, South Korea; Kyungpook Natl Univ, Adv Dent Device Dev Inst, Daegu 41940, South Korea | ; Son, Keunbada/AAG-8089-2019; SON, Keunbada/AAG-8089-2019 | 57295126600; 57202916520; 15925571200 | kuminith@hanmail.net;sonkeunbada@gmail.com;kblee@knu.ac.kr; | APPLIED SCIENCES-BASEL | APPL SCI-BASEL | 2076-3417 | 11 | 20 | SCIE | CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED | 2021 | 2.838 | 41.9 | 0.3 | 2025-07-30 | 6 | 5 | intraoral scanner; accuracy; digital workflow; tooth preparation; abutment | DIGITAL IMPLANT IMPRESSIONS; ABUTMENT; PRECISION | Abutment; Accuracy; Digital workflow; Intraoral scanner; Tooth preparation | English | 2021 | 2021-10 | 10.3390/app11209399 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Conceptual Design of the Combinable Legged Robot Bio-Inspired by Ants' Structure | This study presents a new combinable multi-legged modular robot that mimics the structures of ants to expand the physical capabilities of the legged robot. To do this, the robot design is focused on exploring a fusion of two robotic platforms, modular and multi-legged, in which both the body frame and the legged structure are designed to be a rectangular prism and a 3-DoF sprawling-type articulated leg structure, respectively. By imitating ants' claws, the hook-link structure of the robot as the coupling mechanism is proposed. This study includes the platform's development, and the experimental work on the locomotion in both single and combined modes is carried out. The result of this study proves that mimicking ants' structure in the proposed robots successfully enhances the capability of the conventional legged robot. It is feasible to use in a multi-robot system to realize ants' super-organized behavior. | Yeoh, Chin Ean; Yi, Hak | Kyungpook Natl Univ, Grad Sch, Dept Mech Engn, Bukgu 41566, Daegu, South Korea | Yeoh, Chin Ean/JRY-5058-2023 | 57221051109; 56567311000 | 2018325993@knu.ac.kr;yihak@knu.ac.kr; | APPLIED SCIENCES-BASEL | APPL SCI-BASEL | 2076-3417 | 11 | 4 | SCIE | CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED | 2021 | 2.838 | 41.9 | 0.44 | 2025-07-30 | 5 | 6 | bio-inspired robot; robot mechanism; locomotion; multi-modal; ant structure | Ant structure; Bio-inspired robot; Locomotion; Multi-modal; Robot mechanism | English | 2021 | 2021-02 | 10.3390/app11041379 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Data-Dependent Feature Extraction Method Based on Non-Negative Matrix Factorization for Weakly Supervised Domestic Sound Event Detection | In this paper, feature extraction methods are developed based on the non-negative matrix factorization (NMF) algorithm to be applied in weakly supervised sound event detection. Recently, the development of various features and systems have been attempted to tackle the problems of acoustic scene classification and sound event detection. However, most of these systems use data-independent spectral features, e.g., Mel-spectrogram, log-Mel-spectrum, and gammatone filterbank. Some data-dependent feature extraction methods, including the NMF-based methods, recently demonstrated the potential to tackle the problems mentioned above for long-term acoustic signals. In this paper, we further develop the recently proposed NMF-based feature extraction method to enable its application in weakly supervised sound event detection. To achieve this goal, we develop a strategy for training the frequency basis matrix using a heterogeneous database consisting of strongly- and weakly-labeled data. Moreover, we develop a non-iterative version of the NMF-based feature extraction method so that the proposed feature extraction method can be applied as a part of the model structure similar to the modern "on-the-fly" transform method for the Mel-spectrogram. To detect the sound events, the temporal basis is calculated using the NMF method and then used as a feature for the mean-teacher-model-based classifier. The results are improved for the event-wise post-processing method. To evaluate the proposed system, simulations of the weakly supervised sound event detection were conducted using the Detection and Classification of Acoustic Scenes and Events 2020 Task 4 database. The results reveal that the proposed system has F1-score performance comparable with the Mel-spectrogram and gammatonegram and exhibits 3-5% better performance than the log-Mel-spectrum and constant-Q transform. | Lee, Seokjin; Kim, Minhan; Shin, Seunghyeon; Park, Sooyoung; Jeong, Youngho | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea; Elect & Telecommun Res Inst, Media Res Div, Daejeon 34129, South Korea | shin, sw/O-6248-2014 | 36174416200; 57216617123; 57221769296; 57221333496; 7202332088 | sjlee6@knu.ac.kr;kmh7576@knu.ac.kr;sineva123@gmail.com;sooyoung@etri.re.kr;yhcheong@etri.re.kr; | APPLIED SCIENCES-BASEL | APPL SCI-BASEL | 2076-3417 | 11 | 3 | SCIE | CHEMISTRY, MULTIDISCIPLINARY;ENGINEERING, MULTIDISCIPLINARY;MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED | 2021 | 2.838 | 41.9 | 0.52 | 2025-07-30 | 4 | 7 | feature extraction; sound event detection; non-negative matrix factorization | Feature extraction; Non-negative matrix factorization; Sound event detection | English | 2021 | 2021-02 | 10.3390/app11031040 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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