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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 Factors Affecting the Degree of Harm from Fall Incidents in Hospitals Purpose: This study aimed to examine the factors influencing the degree of harm caused by fall incidents in hospitals. Methods: This cross-sectional descriptive study used secondary data from the “Korean Patient Safety Incident Report 2019” and was based on the International Classification for Patient Safety conceptual framework. We analyzed a total of 4,176 fall incidents between January 1 and December 31, 2019, in Korea. Multinomial logistic regression analyses were conducted to identify the factors that influence the degree of harm from these incidents. Results: Among the fall incidents, 443 (10.6%) were sentinel events, 2,514 (60.2%) were adverse events, and 1,219 (29.2%) were near misses. The factors associated with sentinel events were old age (≥60 years), gender, patient diagnosis, medical department, early detection after falls, long-term care hospital, and reporters. Adverse events were significantly associated with diagnosis, medical department, nurses’ night shift time, large bed size, location (i.e., operating room, recovery room, and intensive care unit), and reporters. Conclusion: Both patient and incident characteristics are significantly associated with the degree of harm in hospitals. Therefore, multiple factors should be considered to establish healthcare policies and thus prevent fall risks and minimize damage following falls in hospitals. © 2021 Korean Academy of Nursing Administration Ahn, Shinae; Kim, Da Eun Department of Nursing, Wonkwang University, South Korea; College of Nursing, Kyungpook National University, South Korea 57189212789; 57197746076 daeunkim@knu.ac.kr; Journal of Korean Academy of Nursing Administration 1225-9330 27 5 0.28 2025-07-30 2 Accidental falls; Medical errors; Patient safety; Public reporting of healthcare data; Risk factors Korean Final 2021 10.11111/jkana.2021.27.5.334 바로가기 바로가기
Article Factors Associated with Intention to Comply with Infection Control Guidelines in Physicians and Nurses: An Analysis Based on the Theory of Planned Behavior Purpose: This study aimed to identify factors affecting physicians and nurses’ intention to comply with healthcare-associated infection control guidelines, based on the theory of planned behavior. Methods: This study was a cross-sectional, descriptive survey. Data were collected using self-report questionnaires from 169 doctors and nurses at a tertiary hospital. Pearson correlation analysis and multiple regression analysis were used to analyze the factors influencing intention to comply with healthcare-associated infection control guidelines. Results: The mean score of intention to comply with infection control guidelines was 17.17±2.60 points (possible range 3-21 points). The intention to comply with infection control guidelines was positively associated with subjective norms and perceived behavioral control over compliance with healthcare-associated infection control guidelines. In the multiple regression analysis, perceived behavioral control was the only significant predictor of intention to comply with healthcare-associated infection control guidelines. Conclusion: In order to encourage doctors and nurses to comply with infection control guidelines, it is necessary to provide resources, enhance the work environment, and utilize strategies to increase perceived behavioral control over compliance with infection control guidelines. © 2021 Korean Academy of Fundamentals of Nursing Choi, Young Sin; Kim, Su Hyun; Chang, Hyun Ha Department of Infection Control, Chilgok-Kyungpook National University Hospital, Daegu, South Korea; College of Nursing, Kyungpook National University, Research Institute of Nursing Science, Daegu, South Korea; Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea 57388304000; 56664542600; 7407521688 suhyun_kim@knu.ac.kr; Journal of the Korean Academy of Fundamentals of Nursing 1225-9012 28 4 0.16 2025-07-30 1 Cross infection; Health personnel; Infection control; Intention Korean Final 2021 10.7739/jkafn.2021.28.4.482 바로가기 바로가기
Review Factors Contributing to an Efficacious Endovascular Treatment for Acute Ischemic Stroke in Asian Population Although randomized control trials about endovascular treatment (EVT) of emergent large vessel occlusion (LVO) have demonstrated the success of mechanical thrombectomy as the choice of treatment, a wide range of caveats remain unaddressed. Asian patients were rarely included in the trials, thereby raising the question of whether the treatment could be generalized. In addition, there remains a concern on the feasibility of the method with respect to its application against intracranial atherosclerosis (ICAS)-related LVO, frequently observed in the Asian population. It is important to include evidence on ICAS LVO from Asian countries in the future for a comprehensive understanding of LVO etiology. Besides the issues with EVT, prognostic concerns in diabetes patients, acute kidney injury following EVT, neuroprotective management against reperfusion injury, and other peri-EVT issues should be considered in clinical practice. In the current article, we present an in-depth review of the literature that revises information pertaining to such concerns. Lee, Jin Soo; Hwang, Yang-Ha; Sohn, Sung-Il Ajou Univ, Ajou Univ Hosp, Dept Neurol, Sch Med, Suwon, South Korea; Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Neurol, Daegu, South Korea; Keimyung Univ, Sch Med, Dept Neurol, Dongsan Hosp, Daegu, South Korea Lee, Wang-Soo/AAS-1477-2021; HWANG, Yang-Ha/F-3068-2013 55963063300; 7402311308; 36479287000 jinsoo22@gmail.com; NEUROINTERVENTION 2093-9043 2233-6273 16 2 0.79 2025-07-30 14 15 Cerebral infarction; Endovascular procedures; Intracranial atherosclerosis; Diabetes mellitus; Acute kidney injury; Reperfusion injury ACUTE KIDNEY INJURY; CONTRAST-INDUCED NEPHROPATHY; VERTEBROBASILAR ARTERY-OCCLUSION; STENT-RETRIEVER THROMBECTOMY; HEALTH-CARE PROFESSIONALS; INTERNAL CAROTID-ARTERY; ACUTE-RENAL-FAILURE; INTRAVENOUS T-PA; MECHANICAL THROMBECTOMY; NEUROLOGICAL DETERIORATION Acute kidney injury; Cerebral infarction; Diabetes mellitus; Endovascular procedures; Intracranial atherosclerosis; Reperfusion injury English 2021 2021-07 10.5469/neuroint.2020.00339 바로가기 바로가기 바로가기
Article Factors influencing self-management behaviors of patients with hemodialysis Improving the level of self-management is a useful way to cut down the incidence of mortality and complications and enhance quality of life. The purpose of this study was to explore the potential effects of positive and negative emotions on self-management behavior among persons undergoing hemodialysis. A descriptive study and secondary analysis was conducted using two surveys that were administered two years apart (2014, 2016). A total of 250 hemodialysis patients were included in the first survey and 75 participated in the two-year follow-up survey in 2016.Self-efficacy, serenity, and depression were measured at baseline, and self-management was assessed at the two-year follow-up. Baseline self-efficacy (r = .36, p = .002) and serenity (r = .32, p = .005) were positively associated with follow-up self-management behavior. Hierarchical multiple regression analysis showed baseline self-efficacy was a important predictor of self-management behaviors, explaining 10.7% of the variance (F = 5.14, p= .003). This study demonstrated the importance of maintaining a positive psychological state, particularly self-efficacy and serenity, while coping with a long-term chronic disease. Improving self-efficacy may increase self-management behavior of patients undergoing hemodialysis or potentially of patients with other chronic therapies or conditions. © Journal of Cognition 2021. Cha, Jieun Kyungpook National University College of Nursing, South Korea 57653773900 jecha@knu.ac.kr; Journal of Medical Pharmaceutical and Allied Sciences 2320-7418 10 4 0 2025-07-30 0 Emotions; Renal dialysis; Self-efficacy; Self-management English Final 2021 10.22270/jmpas.v10i4.1411 바로가기 바로가기
Article Factors to consider for surgical in elderly patients with oral cancer At present, in Korea, due to developments in medicine and technology and an increasing mean lifespan. the expected lifetime for elderly people is increasing (at 70 years, the expected additional lifespan is 14.8 years for males and 18.3 years for females). However, among all causes of death, malignant neoplasm is ranked first for all ages. Further, the incidence rate of oral cancer tends to increase with age. Thus, oral and maxillofacial surgeons have increased opportunity to experience the 'oldest old' patients with oral cancer. Elderly patients commonly have several comorbidities, poor general condition, limited socioeconomic support fear of various postoperative complications, and perception of short for the rest of their life. In this situation. the patient, caregiver, and surgeon often choose undergraded treatment rather than standard treatment for oral squamous cell carcinoma owing to patient age. In elderly patients with oral cancer, ablation of tumor or reconstructive surgery is challenging for surgeons. Oral and maxillofacial surgeons must evaluate carefiilly the patient's medical condition and make a decision regarding treatment plans after sufficient discussion with patient and caregivers. We review the literature to consider the factors involved for deciding on a treatment plan regarding surgery in elderly patients with oral cancer. Lee, Sung-Tak; Kim, Jin-Wook Kyungpook Natl Univ, Sch Dent, Dept Oral & Maxillofacial Surg, 2177 Dalgubeol Daero, Daegu 41940, South Korea 55931708300; 55862646000 vocaleo@knu.ac.kr; JOURNAL OF THE KOREAN ASSOCIATION OF ORAL AND MAXILLOFACIAL SURGEONS J KOR ASSOC ORAL MAX 2234-7550 2234-5930 47 5 ESCI DENTISTRY, ORAL SURGERY & MEDICINE 2021 N/A 0.5 2025-07-30 3 3 Oral cancer; Surgery; Elderly patients SQUAMOUS-CELL CARCINOMA; CHARLSON COMORBIDITY INDEX; NECK-CANCER; PROGNOSTIC-FACTOR; CO-MORBIDITY; HEAD; OUTCOMES; SURGERY; CAVITY; COMPLICATIONS Elderly patients; Oral cancer; Surgery age; aged; Article; cancer staging; cancer surgery; Charlson Comorbidity Index; human; mouth cancer; patient decision making; reconstructive surgery; risk factor; treatment planning English 2021 2021-10 10.5125/jkaoms.2021.47.5.388 바로가기 바로가기 바로가기 바로가기
Article False accusation of online games: Internet gaming can enhance the cognitive flexibility of adolescents Adolescents commonly exhibit high stress and emotional reactivity, and are prone to addictive behaviors including online gaming. Despite the negative impact, online gaming has recently been reported to improve cognitive function. This study examines differences in event-related potentials (ERP) during task switching according to the level of gaming addiction. High-risk, potential-risk, and general groups were recruited according to their Internet Addiction Scale results and total forty-five middle school boys aged 13–15 years participated in the study. The participants were asked to perform switching tasks consisting of size, value, and shape stimuli. The ERP analysis revealed greater N200 amplitudes in the high-risk and potential-risk groups compared with the general user group, suggesting that the participants with a greater involvement in Internet gaming have higher cognitive flexibility in resolving response-related cognitive interference during task-switching. In the analyses of P300, the potential-risk group exhibited higher amplitudes compared with the high-risk and general user groups at F3 region, and during the shape task, separately, which reflects enhanced cognitive flexibility of the potential-risk group to process the stimulus-related interference. The findings of this study suggest that moderate use of online games can enhance response inhibition and stimulus processing. The practical use of online games as an auxiliary means to support cognitive flexibility of adolescents struggling with stress and emotion processing should be explored in future research. © 2021 Ryu, Kwangmin; Kim, Yujin; Kim, Jingu; Woo, Minjung Department of Physical Education, Kyungpook National University, South Korea; Department of Physical Education, Sejong University, South Korea; Department of Physical Education, Kyungpook National University, South Korea; School of Exercise and Sport Science, University of Ulsan, South Korea 56389216200; 57190845842; 18835844000; 25030811800 mjwoo@ulsan.ac.kr; Asian Journal of Sport and Exercise Psychology 2667-2391 1 2-3 0.27 2025-07-30 6 Adolescent; Cognitive flexibility; Event-related potential; Online gaming English Final 2021 10.1016/j.ajsep.2021.09.006 바로가기 바로가기
Article Feasibility of pediatric low-dose facial CT reconstructed with filtered back projection using adequate kernels; [필터보정역투영과 적절한 커널을 이용한 소아 저선량 안면 컴퓨터단층촬영의 시행 가능성] Purpose To evaluate the feasibility of pediatric low-dose facial CT reconstructed with filtered back projection (FBP) using adequate kernels. Materials and Methods We retrospectively reviewed the clinical and imaging data of children aged 0.05). Group A showed a 76.9% reduction in radiation dose compared to Group B (3.2 ± 0.2 mGy vs. 81.9 ± 11.1 mGy; p < 0.001). Conclusion The addition of a soft tissue kernel image to conventional CT reconstructed with FBP enables the use of pediatric low-dose facial CT protocol while maintaining image quality. Copyrights © 2021 The Korean Society of Radiology Hye, Ji; Sun, Kyoung You; Jeong, Eun Lee; So, Mi Lee; Hyun-Hae, Cho; Joon, Young Ohm Department of Radiology, Chungnam National University Hospital, 282 Munhwa-ro, Jung-gu, Daejeon, 35015, South Korea; Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, South Korea; Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, South Korea; Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, South Korea; Department of Radiology, Ewha Womans University Mokdong Hospital, Seoul, South Korea; Department of Radiology, Chungnam National University Hospital, 282 Munhwa-ro, Jung-gu, Daejeon, 35015, South Korea 57300772600; 57301345300; 57301345400; 57300621600; 56544900900; 57301203100 akhnaten74@gmail.com; Journal of the Korean Society of Radiology 1738-2637 82 2 0 2025-07-30 0 Computed Tomography, X-Ray; Dose Reduction; Face; Image Reconstruction; Pediatrics English Final 2021 10.3348/jksr.2021.0003 바로가기 바로가기
Proceedings Paper Feature Based Deep LSTM Network for Indoor Localization Using UWB Measurements Indoor localization using ultra-wideband (UWB) measurements is an effective localization approach when the localization system exists in non-line of sight (NLOS) conditions from the indoor experiment area. In UWB-based indoor localization, the system estimates the user's distance information using anchor-tag communication. The user's distance information in the UWB system is an influencing factor to determine localization performance. A deep learning-based localization system uses the raw distance information for model training and testing and the model predicts the user's current positions. Recently developed deep learning-based UWB localization approaches achieve the best localization results when compared to conventional approaches. However, when the deep learning models use raw distance information, the system lacks sufficient features for training and this is reflected in the model's performance. To solve this preblem, we propose a feature-based localization approach for UWB localization. The proposed approach uses deep long short-term memory (DLSTM) network for training and testing. Using extracted features from the user's distance information gives a better model performance than raw distance data and the DLSTM network is capable of encoding temporal dependencies and, learn high-level representation from the extracted feature data. The simulation results show that the proposed feature-based DLSTM localization system achieved a 5cm mean localization error HS compared to conventional UWB localization approaches. Poulose, Alwin; Han, Dong Seog Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea POULOSE, ALWIN/S-4914-2018; , ALWIN POULOSE/S-4914-2018 57205504085; 7403219442 alwinpoulosepalatty@knu.ac.kr;dshan@knu.ac.kr; 3RD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION (IEEE ICAIIC 2021) 5.28 2025-07-30 28 32 Indoor localization; ultra-wide band (UWB); time of arrival (TOA); deep learning; deep long short-term memory (DLSTM) deep learning; deep long short-Term memory (DLSTM); Indoor localization; time of arrival (TOA); ultra-wide band (UWB) Broadband networks; Deep learning; Indoor positioning systems; Learning systems; Long short-term memory; Conventional approach; Distance information; Indoor localization; Localization errors; Localization performance; Localization system; Model performance; Training and testing; Ultra-wideband (UWB) English 2021 2021 10.1109/icaiic51459.2021.9415277 바로가기 바로가기 바로가기
Proceedings Paper Feature Vector Extraction Technique for Facial Emotion Recognition Using Facial Landmarks The facial emotion recognition (FER) system classifies the driver's emotions and these results are crucial in the autonomous driving system (ADS). The ADS effectively utilizes the features from FER and increases its safety by preventing road accidents. In FER, the system classifies the driver's emotions into different categories such as happy, sad, angry, surprise, disgust, fear, and neutral. These emotions determine the driver's mental condition and the current mental status of the driver can give us valuable information to predict the occurrence of road accidents. Conventional FER systems use direct facial image pixel values as its input and these pixel values provide a limited number of features for training the model. The limited number of features from facial images degrade the performance of the system and it gives a higher degree of classification error. To address this problem in the conventional FER systems, we propose a feature vector extraction technique that combines the facial image pixel values with the facial landmarks and the deep learning model uses these combined features as its input. Our experiments and results show that the proposed feature vector extraction-based FER approach reduces the classification error for emotion recognition and enhances the performance of the system. The proposed FER approach achieved a classification accuracy of 99.96% and a 0.095 model loss from the ResNet architecture. Poulose, Alwin; Kim, Jung Hwan; Han, Dong Seog Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea , ALWIN POULOSE/S-4914-2018; POULOSE, ALWIN/S-4914-2018 57205504085; 57222321332; 7403219442 alwinpoulosepalatty@knu.ac.kr;jkim267@knu.ac.kr;dshan@knu.ac.kr; 12TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC 2021): BEYOND THE PANDEMIC ERA WITH ICT CONVERGENCE INNOVATION 2162-1233 3.13 2025-07-30 18 22 Facial emotion recognition (FER); autonomous driving system (ADS); feature vector extraction; facial landmark detection; facial keypoints detection autonomous driving system (ADS); Facial emotion recognition (FER); facial keypoints detection; facial landmark detection; feature vector extraction Accidents; Deep learning; Extraction; Face recognition; Feature extraction; Intelligent vehicle highway systems; Pixels; Roads and streets; Speech recognition; Vectors; Autonomous driving; Autonomous driving system; Driving systems; Emotion recognition; Facial emotion recognition; Facial emotions; Facial keypoint detection; Facial landmark detection; Feature vector extraction; Keypoint detection; Autonomous vehicles English 2021 2021 10.1109/ictc52510.2021.9620798 바로가기 바로가기 바로가기
Article Fiber-reinforced composite post removal using guided endodontics: a case report Although several techniques have been proposed to remove fiber-reinforced composite (FRC) post, no safe and efficient technique has been established. Recently, a guided endodontics technique has been introduced in cases of pulp canal obliteration. This study describes 2 cases of FRC post removal from maxillary anterior teeth using this guided endodontics technique with a dental operating microscope. Optically scanned data set from plaster cast model was superimposed with the data set of cone-beam computed tomography. By implant planning software, the path of a guide drill was selected. Based on them, a customized stent was fabricated and utilized to remove the FRC post. Employing guided endodontics, the FRC post was removed quickly and safely with minimizing the loss of the remaining tooth structure. The guided endodontics was a useful option for FRC post removal. Cho, Changgi; Jo, Hyo Jin; Ha, Jung-Hong Kyungpook Natl Univ, Sch Dent, Dept Conservat Dent, 2177 Dalgubeol Daero, Daegu 41940, South Korea endoking@knu.ac.kr; RESTORATIVE DENTISTRY AND ENDODONTICS 2234-7658 2234-7666 46 4 11 Fiber-reinforced composite post; Guided endodontics; Post removal ACCESS CAVITY PREPARATION; BEAM COMPUTED-TOMOGRAPHY; ACCURACY English 2021 2021-11 10.5395/rde.2021.46.e50 바로가기 바로가기
Article Finite Element Analysis and Tests of a High-Payload Hydraulic Manipulator of an Armored Rescue Robot in Case of Disaster Finite element analysis (FEA) and optimal design were performed to minimize the amount of deflection and reduce the weight for accurate position control of a six-degree-of-freedom hydraulic manipulator used as an operating arm of an armored robot system for rescue in the event of a disaster. For the finite element modeling of the manipulator structure comprising various parts, such as hydraulic cylinders and five joints, the contacts between the parts, bolting, and behavior of the hydraulic fluid were considered. In the FEA, the manipulator was modeled for the unfolded or bent posture during working, and the deflection was calculated under loading with its own weight and a payload of 250 kgf. Weight reduction was achieved through topology or size optimization. An optimal design model was created for each joint component, and the internal loading obtained from structural analysis of the entire manipulator was applied as the load acting on the joint. A real-sized manipulator was manufactured, and the displacement was measured for a payload application of 250 kgf; further, these results were compared with those of the FEA. The measured displacement was 47.3 mm, and the FEA result was 43.3 mm, showing an error of 8.4%. Shin, Jun Seok; Kim, Cheol; Kim, Jong Geol; Jin, Maolin Kyungpook Natl Univ, Dept Mech Engn, Daegu, South Korea; Korea Inst Robot & Technol Convergence, Seoul, South Korea Kim, Young-Il/ISS-7678-2023; Jin, Maolin/B-7168-2008 kimchul@knu.ac.kr; TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A T KOR SOC MEC ENG A 1226-4873 2288-5226 45 12 ESCI ENGINEERING, MECHANICAL 2021 N/A 1 Hydraulic Manipulator; Finite Element Analysis; Optimum Design; High-Payload; Deflection Test; Cylinder Modeling OPTIMIZATION Korean 2021 2021-12 10.3795/ksme-a.2021.45.12.1177 바로가기 바로가기 바로가기
Article First Report of Apple Decline Caused by Botryosphaeria sinensis in Korea Apple decline symptoms were frequently observed on cv. Fuji apple orchards located in Gyeonggi, Gyeongbuk, and Gangwon provinces during surveys conducted from May until the end of September 2020. Three fungal strains were isolated from the margins of internal lesions of diseased apple trees, and their morphological characteristics were considered similar to Botryosphaeria sinensis. Phylogenetic analysis using internal transcribed spacer (ITS) regions, translation elongation factor 1-alpha (tef 1), beta-tubulin (tub 2), and the second largest subunit of RNA polymerase II (rpb2) gene sequences confirmed the closest relationship of isolates with B. sinensis at the species level. According to a pathogenicity test, the appearance of dark-brown discolorations and vascular necrosis on apple branches inoculated with the isolated strain KNUF-20-014 was observed. To the best of our knowledge, this is the first report of B. sinensis as the causal agent of apple disease in Korea. © 2021 THE KOREAN SOCIETY OF MYCOLOGY. Lee, Seung-Yeol; Ten, Leonid N.; Back, Chang-Gi; Jung, Hee-Young College of Agriculture and Life Sciences, Kyungpook National University, Daegu, 41566, South Korea, Institute of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; College of Agriculture and Life Sciences, Kyungpook National University, Daegu, 41566, South Korea; Horticultural and Herbal Crop Environment Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju, 55365, South Korea; College of Agriculture and Life Sciences, Kyungpook National University, Daegu, 41566, South Korea, Institute of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea 56106499600; 6603039265; 36144957400; 7403029383 heeyoung@knu.ac.kr; Korean Journal of Mycology 0253-651X 49 3 0.4 2025-07-30 4 Apple decline; Botryosphaeria sinensis; Cv. Fuji; Phylogeny English Final 2021 10.4489/kjm.20210040 바로가기 바로가기
Letter First Report of Chromoblastomycosis caused by Fonsecaea nubica in South Korea [No abstract available] Park, Kyung Duck; Lee, Eun Hye; Lee, Seon Hwa; Bang, Yong Jun; Jun, Jae Bok; Choi, Jong Soo; Ha, Dae-Lyong; Kim, Jun Young; Jang, Yong Hyun; Lee, Seok-Jong; Lee, Weon Ju Department of Dermatology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea; Department of Dermatology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea; Department of Dermatology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea; Institute of Medical Mycology, Catholic Skin Clinic, Daegu, South Korea; Institute of Medical Mycology, Catholic Skin Clinic, Daegu, South Korea; Department of Dermatology, College of Medicine, Yeungnam University, Daegu, South Korea; Department of Dermatology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea; Department of Dermatology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea; Department of Dermatology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea; Department of Dermatology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea; Department of Dermatology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea 55767995700; 57189661699; 57224078421; 8235433700; 35743280000; 55722465300; 57201367090; 35310922800; 57016046400; 56013454400; 24474659000 weonju@knu.ac.kr; Journal of Mycology and Infection 1226-4709 26 2 0 2025-07-30 0 Fonsecaea nubica English Final 2021 10.17966/jmi.2021.26.2.45 바로가기 바로가기
Proceedings Paper FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation Unsupervised domain adaptation (UDA) methods for learning domain invariant representations have achieved remarkable progress. However, most of the studies were based on direct adaptation from the source domain to the target domain and have suffered from large domain discrepancies. In this paper, we propose a UDA method that effectively handles such large domain discrepancies. We introduce a fixed ratio-based mixup to augment multiple intermediate domains between the source and target domain. From the augmented-domains, we train the source-dominant model and the target-dominant model that have complementary characteristics. Using our confidence-based learning methodologies, e.g., bidirectional matching with high-confidence predictions and self-penalization using low-confidence predictions, the models can learn from each other or from its own results. Through our proposed methods, the models gradually transfer domain knowledge from the source to the target domain. Extensive experiments demonstrate the superiority of our proposed method on three public benchmarks: Office-31, Office-Home, and VisDA-2017.(1) Na, Jaemin; Jung, Heechul; Chang, Hyung Jin; Hwang, Wonjun Ajou Univ, Suwon, South Korea; Kyungpook Natl Univ, Seoul, South Korea; Univ Birmingham, Birmingham, W Midlands, England ; Jung, Heechul/HTL-7199-2023; Hwang, Wonjun/AAD-9090-2021 57215652622; 55652175200; 35168664400; 7402323168 osia146@ajou.ac.kr;heechul@knu.ac.kr;h.j.chang@bham.ac.uk;wjhwang@ajou.ac.kr; 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021 1063-6919 10.43 2025-07-30 181 210 Computer vision; Learning systems; Adaptation methods; Bidirectional matching; Bridging domains; Complementary characteristics; Confidence predictions; Domain adaptation; High confidence; Invariant representation; Large domain; Target domain; Domain Knowledge English 2021 2021 10.1109/cvpr46437.2021.00115 바로가기 바로가기 바로가기
Article Flood-prone area mapping using GIS-based analytical hierarchy frameworks for Ibadan city, Nigeria Flood is one of the highly pronounced ruinous naturally occurring environmental hazards in which human lives and properties are gravely endangered. This study assessed areas prone to flood in Ibadan City, Nigeria. The study applied two multi-criteria analysis approach-Analytical Hierarchy Process (AHP) and the Fuzzy Analytical Hierarchy Process (FAHP) with the aid of GIS. Ten geomorphological physical characteristics agreed upon by experts as the major factors influencing the susceptibility of an area to floods formed the criteria maps used in this study. The natural breaks and geometrical interval clustering techniques were utilised to group the final flood-prone area maps into five categories-very low, low, moderate, high, and very high. The result indicated that over 50% of the study area either have low or moderate susceptibility to flooding. The clustering techniques showed some slight differences in the flood classifications where natural breaks consistently grouped more areas into the "very high" category and relatively fewer areas to "very low" category in comparison to the geometrical interval technique. Overall, at least 451 km(2) (about 15% of Ibadan) is highly or very highly prone to floods, and these areas are mainly concentrated in the urban and semi-urban regions of the study area. The findings and maps developed in this study would adequately serve as a planning guide for the policymakers on urban development and flood risk management to achieve sustainable development and management. Ajibade, Fidelis Odedishemi; Ajibade, Temitope Fausat; Idowu, Temitope Ezekiel; Nwogwu, Nathaniel Azubuike; Adelodun, Bashir; Lasisi, Kayode Hassan; Opafola, Omobolaji Taofeek; Ajala, Oluwaseyi Aderemi; Fadugba, Olaolu George; Adewumi, James Rotimi Fed Univ Technol Akure, Dept Civil & Environm Engn, Akure, Nigeria; Univ Chinese Acad Sci, Beijing, Peoples R China; Tech Univ Kenya, Dept Civil & Construct Engn, Nairobi, Kenya; Fed Univ Technol Owerri, Dept Agr & Bioresources Engn, Owerri, Nigeria; Univ Ilorin, Dept Agr & Biosyst Engn, Ilorin, Nigeria; Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu, South Korea; Olabisi Onabanjo Univ, Dept Civil Engn, Ago Iwoye, Nigeria; Univ Ibadan, Dept Chem, Ibadan, Nigeria Ajibade, Fidelis O./D-7893-2019; Ajibade, Fidelis/D-7893-2019; Adelodun, Bashir/O-2941-2018; Opafola, Omobolaji/GOP-3419-2022; Lasisi, Kayode Hassan/ABE-7169-2021; Idowu, Temitope/AAF-7154-2020; LASISI, KAYODE HASSAN/ABE-7169-2021 57190341647; 57208594522; 57194585450; 57218171559; 57193774482; 57208598946; 57215084320; 57224524356; 57212380624; 26031266400 foajibade@futa.edu.ng; JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS J MULTI-CRITERIA DEC 1057-9214 1099-1360 28 5-6 ESCI MANAGEMENT 2021 N/A 1.25 2025-07-30 22 32 analytical hierarchy process; clustering techniques; flood-prone areas; fuzzy analytical hierarchy process; GIS; multi-criteria analysis MULTICRITERIA DECISION-ANALYSIS; HAZARD; MODEL; RISK; AHP; BASIN; STATE analytical hierarchy process; clustering techniques; flood-prone areas; fuzzy analytical hierarchy process; GIS; multi-criteria analysis English 2021 2021-09 10.1002/mcda.1759 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.