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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 Evaluation of Filter Cloths Properties for Extracting Lignin from Black Liquor by Filter Press; [흑액 기반 리그닌 추출을 위한 필터프레스 여과포 물성 평가] Lignin is the second most abundant natural biopolymer on Earth and is considered a potential alternative to replace petroleum-based compounds due to its aromatic polymeric structure. As the demand for lignin as a feedstock for commercial usage increases, a robust lignin extraction technique from black liquor is essential. This study explores the properties of filter cloth to improve filter press performance for extracting lignin from acidified black liquors by increasing dewatering under high pressure. Although the nylon filter cloth has a higher tensile strength (4,400 N and 3,800 N) than the polypropylene filter cloth, the tensile strength of TSP-106 filter cloth made of polypropylene shows that it has the potential to withstand the high pressures during the filter pressing process. TSP-106 filter cloth also has a low air permeability, which increases the efficiency of filtering black liquor to collect lignin, suggesting that TSP-106 is applicable as a filter press filter cloth. © 2024 Korean Technical Assoc. of the Pulp and Paper Industry. All rights reserved. Im, Hyeon Ji; Jang, Jin-Woo; Yang, Sukgon; Lee, Sang Hun; Choi, Sa Rang; Lee, Jung Myoung Dept. of Wood and Paper Science, School of Forestry, Science and Landscape Architecture, Kyungpook National University, South Korea; Korea Dyeing and Finishing Technology Institute(DYETEC), Daegu, South Korea; Korea Dyeing and Finishing Technology Institute(DYETEC), Daegu, South Korea; Korea Dyeing and Finishing Technology Institute(DYETEC), Daegu, South Korea; Agricultural Science and Technology Research Institute, Kyungpook National University, South Korea; Dept. of Wood and Paper Science, School of Forestry, Science and Landscape Architecture, Kyungpook National University, South Korea 59505190200; 59504343000; 59504768300; 57225000908; 57208283768; 16197909600 jmylee@knu.ac.kr; Palpu Chongi Gisul/Journal of Korea Technical Association of the Pulp and Paper Industry 0253-3200 56 6 0.27 2025-05-07 1 air permeability; dewatering; filter cloths; filter press; Lignin; tensile strength Air Filters; Air Permeability; Gasoline; High Pressure; Photocomposition; Water Removal; Air filters; Aromatic polymers; Dewatering; Gasoline; Paper and pulp industry; Photocomposition; Pressing (forming); Black liquor; Commercial usage; Extraction techniques; Filter cloths; Filter press; High pressure; Lignin extractions; Natural biopolymers; Polymeric structures; Property; Air permeability Korean Final 2024 10.7584/jktappi.2024.12.56.6.59 바로가기 바로가기
Article Evaluation of Ice Nucleation Activity in Zygomycetous Fungi: First Report of Ice Nucleation Active Linnemannia amoeboidea Isolated from Soil in Korea Twenty-two strains of zygomycetous fungi were isolated from soil and selected based on their cultural characteristics. The strains were identified through similarity searches and a phylogenetic analysis of their internal transcribed spacer regions and 28S rDNA large subunit sequences. Cultural and morphological characteristics, including colony color and the sizes of sporangia, sporangiospores, and chlamydospores, were used to confirm the identity of KNUF-GWL1 as Linnemannia amoeboidea, a species not previously reported in Korea. Additionally, the twenty-two strains were evaluated for ice nucleation activity (INA) using a tube freezing test at −5℃. Among the isolated strains, five exhibited INA: KNUF-GWL1, KNUF-CNM1, KNUF-GBM2, KNUF-GBM3, and KNUF-GBM4. To assess the optimum growth temperature and the effect of growth temperature on the INA of INA-positive fungi, strains L. amoeboidea KNUF-GWL1 and Mortierella alpina KNUF-GBM4 were tested. Both strains exhibited their most vigorous growth at 25℃, with the number of ice nuclei increasing at lower incubation temperatures. To our knowledge, this study represents the first evaluation of INA in zygomycetous fungi isolated from soil and the first report of INA in L. amoeboidea. © 2024 THE KOREAN SOCIETY OF MYCOLOGY. Choi, Jin-Sil; Lim, Seong-Keun; Lim, Gwang-Jae; Avalos-Ruiz, Diane; Lee, Seung-Yeol; Jung, Hee-Young Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Centro de Excelencia Microbiano, El Jocotillo, 01065, Guatemala; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea, Institute of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea, Institute of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea 58512402700; 57756003900; 58512640000; 57755672100; 56106499600; 59510734500 leesy1123@knu.ac.kr; Korean Journal of Mycology 0253-651X 52 4 0 2025-05-07 0 Ice nucleation activity; Linnemannia amoeboidea; Phylogenetic analysis; Zygomycetous fungi English Final 2024 10.4489/kjm.520410 바로가기 바로가기
Conference paper EVALUATION OF LINK LENGTH ERRORS FOR A 6-AXIS SERIAL ROBOT BASED ON KINEMATICS [No abstract available] Kweon, Sung Hwan; Jeong, Young Hun; Yang, Seung Han Digital Design & Digital Manufacturing R&D Center, Kyungpook National University, Daegu, South Korea; School of Mechanical Engineering, Kyungpook National University, Daegu, South Korea; School of Mechanical Engineering, Kyungpook National University, Daegu, South Korea 8327171800; 56501196300; 59819109500 Proceedings - ASPE 2024 Annual Meeting 0 2025-05-07 0 English Final 2024 바로가기
Conference paper Evaluation of Random Forest and Support Vector Machine Models in Educational Data Mining The computer science field has witnessed the popularity of machine learning (ML) in discriminating low achieving and high-achieving students. However, various ML methods have different performances in predicting student performance. Therefore, the investigative analysis of their effectiveness in the discrimination of student based on their academic achievement would have been the major research concern these days. This study investigates the performance of the random forest (RF) and support vector machine (SVM) against their power in academic performance prediction of a student grade score (SGS). The analysis is performed based on the classification capability of the two algorithms using the Portuguese SGS dataset. Furthermore, the study also focused on the analysis of the impact of sigmoid and radial basis functions on the capability of the SVM for classifying SGS. We also presented a comparison among the various ML methods namely RF, and SVM, in identifying the student performance based on the SGS. Various demographic information (age, sex) and student assessment results (assignment, mid-term exam, and quiz) were used as the features in training. The result revealed that RF and SVM classifiers have the power to predict student performance. The SVM scored more accuracy than the RF. We obtained high accuracy (75.72%) using the linear kernel. The result implied that SGS can be predicted by using previous assessment results with the proposed SVM classifier. © 2024 IEEE. Assegie, Tsehay Admassu; Salau, Ayodeji Olalekan; Chhabra, Gunjan; Kaushik, Keshav; Braide, Sepiribo Lucky Kyungpook National University, School of Electronics Engineering, Daegu, South Korea; Afe Babalola University, Department of Electrical and Computer Engineering, Ado-Ekiti, Nigeria; Graphic Era Hill University, Department of CSE, Uttarakhand, Dehradun, India; University of Petroleum and Energy Studies, School of Computer Science, Uttarakhand, Dehradun, India; Rivers State University, Department of Electrical and Electronics Engineering, Port Harcourt, 5080, Nigeria 57209398365; 57204911824; 57190971022; 57189443247; 55345584600 tsehayadmassu2006@gmail.com; Proceedings - 2nd International Conference on Advancement in Computation and Computer Technologies, InCACCT 2024 5.64 2025-04-16 6 classification; data mining; education student performance; quality of education Data mining; Education computing; Forecasting; Forestry; Quality control; Radial basis function networks; Random forests; Students; Support vector machines; Education student performance; Machine learning methods; Performance; Power; Quality of education; Random forests; Student performance; Students' grades; Support vector machine classifiers; Support vectors machine; Classification (of information) English Final 2024 10.1109/incacct61598.2024.10551110 바로가기 바로가기
Conference paper Evaluation of the Bond Performance of Concrete-Epoxy Interface Using Segmentation-Based Image Processing Techniques This study evaluates the bond performance of concrete epoxy bonds using an image segmentation-based image processing technique. The Concrete Epoxy Interface (CEI) plays a crucial role in the structural performance of FRP-repaired concrete as it transfers stresses from the concrete to the epoxy. By employing the image segmentation technique, the performance of the CEI is assessed through the ratio of Interfacial Failure (IF) to other failure types, namely cohesive failure in Epoxy (CE) and Cohesive cracks in Concrete (CC). The effects of sustained loading duration on CEI bond performance are quantitatively analyzed using 21 single-lap shear (SLS) specimens and 28 notched 3-Point Bending (3PB) specimens. The findings highlight vital conclusions: CE is the least failure mode in SLS and 3PB specimens. In contrast, CC is the predominant failure mode, indicating the susceptibility of the concrete substrate in FRP-repaired concrete. Moreover, IF generally increases with longer sustained loading durations in 3PB specimens but decreases with increased loading duration in SLS specimens. The study also demonstrates the effectiveness of the image segmentation approach in evaluating CEI performance in 3PB specimens, where color distinguishes epoxy, FRP, and concrete substrate. © 2024 American Concrete Institute. All rights reserved. Ishaq, Abubakar S.; Lopez, Maria M.; Bakis, Charles E.; Jeong, Yoseok The Construction Materials Laboratory, Kyungpook National University, South Korea, The Department of Construction and Disaster Prevention Engineering, Kyungpook National University, South Korea; Modjeski & Masters Inc.; The Pennsylvania State University, United States; Kyungpook National University, South Korea 58175310600; 57014003500; 7004499672; 59510736900 American Concrete Institute, ACI Special Publication 0193-2527 SP-360 0 2025-05-07 0 Concrete; Epoxy; Fracture surface analysis; Image Segmentation; Sustained loading Bond strength (materials); Compressive strength; Concretes; Cracks; Gluing; 3-point bending specimens; Epoxy; Epoxy interface; Fracture surface analysis; Image processing technique; Images segmentations; Loading duration; Performance; Single lap shears; Sustained loading; Image segmentation English Final 2024 10.14359/51740615 바로가기 바로가기
Article Evaluation of the Importance of Variables When Using a Random Forest Technique to Assess Landslide Damage: Focusing on Chungju Landslides; [Random Forest를 활용한 산사태 피해 영향인자 평가: 충주시 산사태를 중심으로] Landslides are natural disasters that causes significant property damage worldwide every year. In Korea, damage due to landslides is increasing owing to the effects of climate change, and it is important to identify the factors that increase the prevalence of landslides in order to reduce the damage they cause. Therefore, this study used a random forest model to analyze the importance of 14 factors in influencing landslide damage in a specific area of Chungju, Chungcheongbuk-do province, Korea. The random forest model performed accurately with an AUC of 0.87 and the most-important factors were ranked in the order of aspect, slope, distance to valley, and elevation, suggesting that topographic factors such as aspect and slope more greatly influence landslide damage than geological or soil factors such as rock type and soil thickness. The results of this study are expected to provide a basis for mapping and predicting landslide damage, and for research focused on reducing landslide damage. © 2024 Korean Society of Engineering Geology. All rights reserved. Lee, Jaeho; Jeong, Youjin; Choi, Junghae Department of Geology, Kyungpook National University, South Korea; Department of Geology, Kyungpook National University, South Korea; Department of Earth Science Education, Kyungpook National University, South Korea 58974708900; 57614147700; 55839820300 choi.jh@knu.ac.kr; Journal of Engineering Geology 1226-5268 34 1 0.86 2025-05-07 2 frequency ratio; landslide damage area; random forest; variable importance Korean Final 2024 10.9720/kseg.2024.1.051 바로가기 바로가기
Article Evaluation of the Manufacturing and Viral Killing Efficacy of Chitosan Microbeads Loaded with Disinfectants; [소독제를 탑재한 키토산 마이크로 비드 정밀 제조공정과 살 바이러스 효능평가] This study examines the efficiency of chitosan microbeads in manufacturing and their effectiveness as a disinfectant. The microbeads are developed using a solvent-assisted extraction process. The manufacturing process involves crosslinking chitosan through an emulsion-based method, with the help of a crosslinker. This leads to an increase in particle size while maintaining homogeneity and dispersion. The solvent-assisted method, which utilizes acetone, effectively extracts the crosslinked beads into the aqueous phase. This extraction process ensures the structural stability of the beads, with an average particle size of 40±3.94 µm. By incorporating the disinfectant agent into the chitosan beads, antiviral effects against the Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) were observed. These effects were found to be effective at dilutions estimated to be between 1: 1 and 1: 100. The findings of this study demonstrate the inherent antiviral capabilities of chitosan beads and the enhanced impact when combined with the disinfectant. This suggests a synergistic approach to managing viral infections in livestock environments. Copyright © The Korean Society for Precision Engineering. Kang, Bong Su; Choi, Sung Hak; Kwak, Moon Kyu; Jung, Ho-Sup Research Institute of Advanced Materials, College of Engineering, Seoul National University, South Korea; Research Institute of Advanced Materials, College of Engineering, Seoul National University, South Korea; School of Mechanical Engineering, Kyungpook National University, South Korea; Center for Food and Bioconvergence, Department of Food Science and Biotechnology, Seoul National University, South Korea, Nbiocelle, Inc., South Korea 55330925300; 57264013200; 57203947984; 36985354800 mkkwak@knu.ac.kr;jhs@snu.ac.kr; Journal of the Korean Society for Precision Engineering 1225-9071 41 7 0 2025-05-07 0 Chitosan; Disinfectant; Microbead; Solvent assisted extraction process; Viral killing efficacy Korean Final 2024 10.7736/jkspe.024.045 바로가기 바로가기
Article Evaluation of the Probiotic Properties and Physiological Activities of Novel Lactic Acid Bacteria Isolated from Traditional Fermented Foods; [전통 발효 식품에서 분리한 신규 젖산균의 프로바이오틱스특성 및 생리활성 평가] This study evaluated the characteristics of lactic acid bacteria (LAB) isolated from kkakdugi for its use as a probiotic. In addition, the possibility of using it as a material for promoting antioxidant activity and skin functionality was evaluated. To verify the feasibility of LAB as probiotics, their survival rates in artificial gastric juice and artificial bile were evaluated. In artificial gastric juice, the average number of probiotics was maintained at 5.3×109 colony-forming units (CFU)/mL, showing a survival rate of about 99%. In artificial bile, the average number of probiotics was maintained at 1.2×109 CFU/mL, showing a survival rate of about 95%. The survival rate indicated their ability to reach the target site to exert their effects. In addition, autoaggregation and cell surface hydrophobicity experiments were conducted to indirectly confirm their ability to adhere to the gastrointestinal tract surface. The autoaggregation rate of all LAB strains increased over time. Specifically, L. plantarum K1-9 and L. brevis K2-9 strains showed high hydrophobicity. LAB culture supernatants were used to evaluate antioxidant activity, antidiabetic activity, and skin functionality, such as the effects on skin wrinkles, whitening, and astringent effects. The results showed that, the LAB isolated from kkakdugi had high antioxidant activity. In addition, increasing the concentration of the LAB culture supernatant is expected to have positive effects on skin wrinkles and whitening. Therefore, it is believed that these characteristics of the LAB isolated from kkakdugi ensure that they have sufficient potential to be utilized as an intestinal probiotic and functional cosmetic materials. © 2024 The Korean Society of Food Science and Nutrition. Kim, Ji-Hye; Jung, Sung-Keun; Cho, Young-Je; Kim, Byung-Oh School of Food Science, South Korea; School of Food Science, South Korea, Research Institute of Tailored Food Technology, Kyungpook National University, South Korea; School of Food Science, South Korea, Research Institute of Tailored Food Technology, Kyungpook National University, South Korea; School of Food Science, South Korea, Research Institute of Tailored Food Technology, Kyungpook National University, South Korea 59089372000; 35310491400; 55265396300; 7501567571 kimb@knu.ac.kr; Journal of the Korean Society of Food Science and Nutrition 1226-3311 53 5 0 2025-05-07 0 lactic acid bacteria; physiological activity; probiotics; skin functionality Korean Final 2024 10.3746/jkfn.2024.53.5.519 바로가기 바로가기
Conference paper Excellent Synaptic Characteristics and Half-bias selectivity in Vertical Short-channel ECRAM and selector-free 4k Cross-point Array Demonstration We present a CMOS-compatible, vertical electro-chemical random-access memory (V-ECRAM) designed for the fully-parallel matrix computations for analog AI accelerators. Our V-ECRAM features superior synaptic characteristics, including linear conductance updates, a large on/off ratio (> 17,000), high-speed switching modulation (500 ns), and robust endurance (> 10 M) thanks to the vertical device structure with an increased high-field update area in the channel. Upon confirmation of excellent switching characteristics, we fabricated a 4k V-ECRAM cross-point array with 88.8% yield and evaluated the array-level device statistics and training performance. The V-ECRAM exhibits extremely low cycle-to-cycle variation (0.023), device-to-device variation (0.098), and vector matrix multiplication error (0.18%). Moreover, training capability of the V-ECRAM cross-point array were verified through the hardware implementation of novel Tiki-Taka training algorithms using the improved half-bias selectivity. © 2024 IEEE. Son, Jeonghoon; Kim, Seungkun; Lee, Jimin; Lee, Byungwoo; Kwak, Hyunjeong; Byun, Jinho; Woo, Jiyong; Kim, Seyoung Department of Material Science and Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea; Department of Material Science and Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea; Department of Material Science and Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea; Department of Material Science and Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea; Department of Material Science and Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea; Department of Material Science and Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea; Department of Material Science and Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea 58634750400; 58634750300; 59338088500; 59670178700; 57203745904; 59337627600; 53985749100; 57211871375 kimseyoung@postech.ac.kr; Technical Digest - International Electron Devices Meeting, IEDM 0163-1918 0 2025-05-07 1 CMOS integrated circuits; Matrix algebra; CMOS Compatible; Cross-point array; High-field; High-speed switching; On-off ratio; Parallel matrix computations; Random access memory; Short channels; Switching characteristics; Vertical devices; Random access storage English Final 2024 10.1109/iedm50854.2024.10873436 바로가기 바로가기
Article Experiences of Recording Electronic Nursing Notes among Ward Nurses in Two Hospitals; [병동간호사의 전자간호일지 기록 경험] Purpose: This study explored the experiences of recording electronic nursing notes among ward nurses in the hospital. Methods: A qualitative descriptive study was conducted. Data were collected through in-depth interviews with 15 nurses at two university hospitals in Daegu between November 2022 and April 2023. Hsieh and Shannon’s conventional content analysis method was applied, and MAXQDA was used for the analysis. Results: Three categories were identified from the data, with 12 subcategories and 46 codes. The three categories were as follows: utility, limitations to effective use, and seeking a way to expand functions efficiently. Conclusion: Records involving electronic nursing notes played a very important role in patient care and legal protection, as well as serving as a guide to nursing diagnosis, a source of pride, and a resource with convenient functions. Areas for improvement relate to awareness, burden, discomfort, disparities, and obstacles to record-keeping. A more efficient record system needs to be established, with corresponding education. Furthermore, hospital administrators should provide policy support to improve the quality of nursing records. © 2024 Korean Academy of Fundamentals of Nursing. Hwang, Hyunmi; Kim, Geun-Hee; Song, Yeoungsuk Kyungpook National University Hospital, Daegu, South Korea; Department of Nursing, Kyungpook National University Hospital, Daegu, South Korea; College of Nursing, Kyungpook National University, Daegu, South Korea 59458889900; 58731281800; 55494171100 asansong@knu.ac.kr; Journal of the Korean Academy of Fundamentals of Nursing 1225-9012 31 4 0 2025-05-07 0 Electronic health records; Nurses; Nursing; Qualitative research Korean Final 2024 10.7739/jkafn.2024.31.4.396 바로가기 바로가기
Book chapter Explainable AI for cybersecurity In recent years, the utilization of AI in the field of cybersecurity has become more widespread. Blackbox AI models pose a significant challenge in terms of interpretability and transparency, which is one of the major drawbacks of AI-based systems. This chapter explores explainable AI (XAI) techniques as a solution to these challenges and discusses their application in cybersecurity. The chapter begins with an explanation of AI in cybersecurity, including the types of AI commonly utilized, such as DL, ML, and NLP, and their applications in cybersecurity, such as intrusion detection, malware analysis, and vulnerability assessment. The chapter then highlights the challenges with black-box AI, including difficulty identifying and resolving errors, the lack of transparency, and the inability to understand the decision-making process. The chapter then delves into XAI techniques for cybersecurity solutions, including interpretable machine-learning models, rule-based systems, and model explanation techniques. © 2024, IGI Global. All rights reserved. Sindiramutty, Siva Raja; Tan, Chong Eng; Lau, Sei Ping; Thangaveloo, Rajan; Gharib, Abdalla Hassan; Manchuri, Amaranadha Reddy; Khan, Navid Ali; Tee, Wee jing; Muniandy, Lalitha Taylor's University, Malaysia; Universiti Malaysia Sarawak, Malaysia; Universiti Malaysia Sarawak, Malaysia; Universiti Malaysia Sarawak, Malaysia; Zanzibar University, Tanzania; Kyungpook National University, South Korea; Taylor's University, Malaysia; Taylor's University, Malaysia; Tunku Abdul Rahman University of Management and Technology, Malaysia 57216348438; 25825561000; 36023855900; 55062276500; 58775231300; 58343647900; 57216537861; 57202002663; 58994750200 Advances in Explainable AI Applications for Smart Cities 36.25 2025-05-07 19 English Final 2024 10.4018/978-1-6684-6361-1.ch002 바로가기 바로가기
Book chapter Explainable AI in healthcare application Given the inherent risks in medical decision-making, medical professionals carefully evaluate a patient's symptoms before arriving at a plausible diagnosis. For AI to be widely accepted and useful technology, it must replicate human judgment and interpretation abilities. XAI attempts to describe the data underlying the black-box approach of deep learning (DL), machine learning (ML), and natural language processing (NLP) that explain how judgments are made. This chapter provides a survey of the most recent XAI methods employed in medical imaging and related fields, categorizes and lists the types of XAI, and highlights the methods used to make medical imaging topics more interpretable. Additionally, it focuses on the challenging XAI issues in medical applications and guides the development of better deep-learning system explanations by applying XAI principles in the analysis of medical pictures and text. © 2024, IGI Global. All rights reserved. Sindiramutty, Siva Raja; Tee, Wee Jing; Balakrishnan, Sumathi; Kaur, Sukhminder; Thangaveloo, Rajan; Jazri, Husin; Khan, Navid Ali; Gharib, Abdalla; Manchuri, Amaranadha Reddy Taylor's University, Malaysia; Taylor's University, Malaysia; Taylor's University, Malaysia; Taylor's University, Malaysia; Universiti Malaysia Sarawak, Malaysia; Taylor's University, Malaysia; Taylor's University, Malaysia; Zanzibar University, Tanzania; Kyungpook National University, South Korea 57216348438; 57202002663; 55758674300; 57210390845; 55062276500; 55701237200; 57216537861; 58775231300; 58343647900 Advances in Explainable AI Applications for Smart Cities 47.13 2025-05-07 23 English Final 2024 10.4018/978-1-6684-6361-1.ch005 바로가기 바로가기
Article Exploring 40 years of Korean medical education conference themes Purpose: The Korean Society of Medical Education (KSME) was founded in 1983 and celebrated its 40th anniversary in 2023. This study examines the evolution of topics discussed at KSME conferences from 1971 through 2023, highlighting shifts in the focus of medical education. Methods: We analyzed 90 KSME conferences over 5 decades (1970s, 1980s, 1990s, 2000s, and 2010s), categorizing the topics into three eras based on emerging themes and continuity. Results: Consequently, 37 topics covered at the conference were categorized. Ten topics continuously appeared from the 1970s to the 2010s, including future directions of medical education, teaching methods, faculty development, and curriculum. The topics from the 1970s to the 1990s included 14 areas, such as medical education evaluation, non-undergraduate curriculum, community-related, and research. Thirteen new topics emerged after the 2000s, such as social accountability, student support, professionalism, and quality improvements. The most common topics under innovations in medical education, a case of curriculum innovation at universities that began after 2000, were clinical clerkship, curriculum development, and medical humanities. Conclusion: KSME’s selection of conference topics has been strategically aligned with societal needs and the evolving landscape of medical education. Future topics should continue to address relevant societal and educational challenges. © The Korean Society of Medical Education.All rights reserved. Kim, Do-Hwan; Lee, Sangmi Teresa; Lee, Young-Mee; Yeo, Sanghee Department of Medical Education, Hanyang University College of Medicine, Seoul, South Korea; Department of Medical Education, Yonsei University Wonju College of Medicine, Wonju, South Korea; Department of Medical Education, Korea University College of Medicine, Seoul, South Korea; Department of Medical Humanities and Medical Education, School of Medicine, Kyungpook National University, South Korea, Kyungpook National University Hospital, Daegu, South Korea 57201849430; 57544486600; 55560944900; 23391520800 shyeo@knu.ac.kr; Korean Journal of Medical Education 2005-727X 36 2 0 2025-04-16 0 Chronology; Congress; Education; Medical education; Societies Clinical Clerkship; Congresses as Topic; Curriculum; Education, Medical; Faculty, Medical; History, 20th Century; History, 21st Century; Humanities; Humans; Professionalism; Republic of Korea; Social Responsibility; Societies, Medical; clinical education; curriculum; education; history; human; humanities; medical education; medical school; medical society; organization; professionalism; social responsibility; South Korea English Final 2024 10.3946/kjme.2024.290 바로가기 바로가기
Article Exploring conservation status and ethnoveterinary uses of medicinal plants in Upper-Haramosh, Gilgit-Baltistan, Pakistan Background: Ethnoveterinary practices are declining, depleting valuable knowledge over time in the Haramosh region. Therefore, the current study aimed to explore and document indigenous knowledge regarding ethno-veterinary plants in Upper Haramosh and simultaneously assess their conservation status. Methods: Direct interviews were conducted with shepherds, farmers, and senior citizens possessing traditional knowledge. Semi-structured questionnaires were also developed for collecting knowledge from inhabitants. The conservation status of the species was checked referring to IUCN red list data. Results: The current study revealed ethno-veterinary uses for 25 plant species spanning 24 genera and 22 families. The Polygonaceae and Asteraceae families dominate, with three and two species, respectively. Seven common ailments were reported, with injuries having the highest plant frequency. The most common administration method was decoction, followed by powder, paste, and direct consumption. RFC values ranged from 0.3-0.9, with Berberis orthobotrys, Geranium pratense, Punica granatum, and Zea mays depicting the highest values. Use values ranged from 0.3 to 1, with the highest reported for B. orthobotrys, G. pratense, and Z. mays. Fidelity levels (%) for disease categories varied, with B. orthobotrys, G. pratense, Juniperus excelsa, Juglans regia, Saussurea Simpsoniana, Delphinium brunonianum, and P. granatum all demonstrating 100% fidelity for their reported disease types. Conservation status is Least Concern for all species except D. brunonianum, S. simpsoniana, and Ephedra gerardiana, which are classified as vulnerable according to IUCN Red List data. Conclusions: The study underscores the area's potential for medicinal plants, emphasizing the need for phytochemical studies to further validate their efficacy. © 2024, Ilia State University, Institute of Botany, Department of Ethnobotany. All rights reserved. Ud Din, Shahab; Abbas, Qamar; Abbas, Pervaz; Begum, Farida; Alam, Muneer; Noor, Ali; Khan, Hawas; Raza, Muhammad Atif; Shakeel, Muhammad Faculty of Life Sciences, Karakoram International University Gilgit-Baltistan, main campus, Gigit, 15100, Pakistan, Department of Animal Science and Biotechnology, Kyungpook National University, Gyeongsangbukdo, Sangju-si, 37224, South Korea; Faculty of Life Sciences, Karakoram International University Gilgit-Baltistan, main campus, Gigit, 15100, Pakistan; Faculty of Life Sciences, Karakoram International University Gilgit-Baltistan, main campus, Gigit, 15100, Pakistan; Faculty of Life Sciences, Karakoram International University Gilgit-Baltistan, main campus, Gigit, 15100, Pakistan; Key Laboratory of Geographic Information, East China Normal University, 200062, Taiwan; Faculty of Life Sciences, Karakoram International University Gilgit-Baltistan, main campus, Gigit, 15100, Pakistan; Department of Earth Sciences, Karakoram International University Gilgit-Baltistan, Gigit, 15100, Pakistan; Department of Animal Science and Biotechnology, Kyungpook National University, Gyeongsangbukdo, Sangju-si, 37224, South Korea; Department of Animal Science and Biotechnology, Kyungpook National University, Gyeongsangbukdo, Sangju-si, 37224, South Korea, Department of Clinical Studies, Faculty of Veterinary and Animal Sciences, Pir Mehr Ali Shah, Arid Agriculture University, Rawalpindi, 44000, Pakistan 59206105600; 57254738400; 59206300000; 36573252300; 57864906500; 55848404800; 57204936004; 58291484800; 57209179360 shahabuddin.h.555@gmail.com; Ethnobotany Research and Applications 1547-3465 29 2.31 2025-05-07 2 Conservation Status; Ethno-veterinary; Indigenous Knowledge; Medicinal Plants; Pets English Final 2024 10.32859/era.29.19.1-14 바로가기 바로가기
Proceedings Paper Exploring Factors Impacting Data Offloading Performance in Edge and Cloud Environments Recently, the deployments of smart IoT devices, such as wearable devices and drones, have risen at an unprecedented pace. But these edge devices typically have limited computing and storage resources, thus making it hard to perform compute-intensive jobs on their acquired data despite growing demands. In this paper, we uncover five major factors and present our empirical evaluation results in an offloading environment utilizing external servers. From the findings, we present a taxonomy of factors that should be considered along with different data types for offloading the data of edge devices to external nodes more efficiently. Na, Gap-Joo; Jang, Youngwoo; Seo, Harin; Tak, Byungchul; Suh, Young-Kyoon Elect & Telecommun Res Inst, Daejeon, South Korea; Kyungpook Natl Univ, Daegu, South Korea 13103777300; 58704648200; 58703741700; 6506911621; 55443739900 funkygap@etri.re.kr;jangscon6568@knu.ac.kr;rinyo0126@knu.ac.kr;bctak@knu.ac.kr;yksuh@knu.ac.kr; EURO-PAR 2023: PARALLEL PROCESSING WORKSHOPS, PT II, EURO-PAR 2023 0302-9743 1611-3349 14352 0 2025-04-16 0 0 Edge Device; Data Offloading; Cloud; Factor Taxonomy Cloud; Data Offloading; Edge Device; Factor Taxonomy Digital storage; Cloud environments; Computing resource; Data offloading; Edge device; Factor taxonomy; Growing demand; Major factors; Performance; Storage resources; Wearable devices; Taxonomies English 2024 2024 10.1007/978-3-031-48803-0_26 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.