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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 Tracking Multiple Autonomous Ground Vehicles Using Motion Capture System Operating in a Wireless Network The method examines the challenging issues in tracking multiple autonomous ground vehicles (AGVs) using a motion capture system (MoCap) accessible by a wireless network such as standard IEEE 802.11a WIFI protocol. A state-of-art technology such as global positioning system may have limitations in their accuracy and restricted lines of sight. Tracking in these environments entail various complexities such as target (AGV) occlusion, clutter, and the electromagnetic interference that can interrupt communication between AGV and ground-based control station. We present a novel idea that exploits IR signals emitted by the MoCap to fetch position data reflected from AGVs. MoCap uses the Motive software to manipulate the position data necessary for the tracking filter. This method adopted the fixed-interval smoothing based on the joint integrated track splitting filter (FIsJITS) for detecting and tracking the vehicles. FIsJITS obtains track state estimation in both forward and backward directions within fixed time measurement intervals. The multi-track backward predictions are fused in the forward-path track to obtain a-priori smoothing predictions, followed by a smoothing state estimation. This approach also calculates the smoothing target existence probability (TEP) to reinforce target detection, allowing a tracking system to simultaneously track multiple vehicles efficiently within cluttered environments. For a seamless data processing, we utilize the WIFI through a wireless access point (WAP) to transfer the data from MoCap to the computer system where Motive and tracking system softwares are running simultaneously. We conducted the real-time experiments to demonstrate the tracking performance of the proposed AGV system outperforming existing algorithms. Memon, Sufyan Ali; Kim, Wan-Gu; Khan, Samee Ullah; Memon, Tayab Din; Alsaleem, Fahd Nasser; Alhassoon, Khaled; Alsunaydih, Fahad N. Sejong Univ, Dept Def Syst Engn, Seoul 05006, South Korea; Korea Inst Ocean Sci & Technol, Marine Domain & Secur Res Dept, Busan 49111, South Korea; Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea; Torrens Univ Australia, Ctr Artificial Intelligence Res & Optimizat AIRO, Design & Creat Technol Vert, Melbourne, Vic 3000, Australia; Mehran Univ Engn & Technol, Dept Elect Engn, Jamshoro 76062, Pakistan; Qassim Univ, Coll Engn, Dept Elect Engn, Buraydah 52571, Saudi Arabia ; Alhassoon, khaled/GRF-1437-2022; memon, Tayab/JFJ-0871-2023; Memon, Sufyan Ali/AAB-6421-2022; Alsunaydih, Fahad/GSN-7179-2022; Alsaleem, Fahd/AAR-9271-2021; Khan, Samee/AAA-3302-2019 57132317100; 56849662600; 59045429700; 35074521100; 57209882604; 57189000301; 57192917196 sufyanahmedali@sejong.ac.kr; IEEE ACCESS IEEE ACCESS 2169-3536 12 SCIE ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS;COMPUTER SCIENCE, INFORMATION SYSTEMS 2024 3.6 34.8 1.72 2025-04-16 4 4 Autonomous ground vehicles (AGVs); detection; joint data association; JetBot; motion capture (MoCap); multi-target tracking (MTT); target existence probability (TEP); wireless access point (WAP) MULTITARGET TRACKING Autonomous ground vehicles (AGVs); detection; JetBot; joint data association; motion capture (MoCap); multi-target tracking (MTT); target existence probability (TEP); wireless access point (WAP) Clustering algorithms; Clutter (information theory); Electromagnetic pulse; IEEE Standards; State estimation; Wi-Fi; Wireless local area networks (WLAN); Autonomous ground vehicle; Autonomous ground vehicles; Data association; Detection; Existence probabilities; Jetbot; Joint data association; Land vehicles; Motion capture; Multi-target tracking; Multi-target-tracking; Pollution measurement; Smoothing methods; Target existence probability; Target existences; Targets tracking; Wireless access point; Wireless access points; Target tracking English 2024 2024 10.1109/access.2024.3394536 바로가기 바로가기 바로가기 바로가기
Review Trends and Challenges in Computing-in-Memory for Neural Network Model: A Review From Device Design to Application-Side Optimization Neural network models have been widely used in various fields as the main way to solve problems in the current artificial intelligence (AI) field. Efficient execution of neural network models requires devices with massively parallel Multiply-accumulate (MAC) and Matrix-vector Multiplication (MVM) computing capability. However, existing computing devices based on von Neumann architecture suffer from bottlenecks, and the separation of memory and computation module makes data on the move wasting a lot of meaningless computation time and energy. Computing-in-memory (CIM) based on performing MAC computation inside the memory is considered a promising direction to solve this problem. However, large-scale application of CIM still faces challenges due to the non-idealities of current CIM devices and the lack of a common and reliable programmable interface on the application side. In this paper, we will comprehensively analyze the current problems faced by CIMs from various perspectives, such as CIM memory arrays, peripheral circuits, and application-side design, and discuss the possible future development opportunities of CIMs. Yu, Ke; Kim, Sunmean; Choi, Jun Rim Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Elect Engn, Coll IT Engn, Daegu 41566, South Korea ; Lee, Sung-Yun/JDM-2887-2023 58099769200; 57193135112; 7501392846 jrchoi@ee.knu.ac.kr; IEEE ACCESS IEEE ACCESS 2169-3536 12 SCIE ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS;COMPUTER SCIENCE, INFORMATION SYSTEMS 2024 3.6 34.8 0 2025-05-07 0 1 Computational modeling; Random access memory; Common Information Model (computing); Computer architecture; Biological neural networks; Artificial intelligence; In-memory computing; Performance evaluation; Arrays; Voltage; Neural network model; von Neumann architecture; computing-in-memory; multiply-accumulate; matrix-vector multiplication; peripheral circuits; memory array SRAM MACRO computing-in-memory; matrix-vector multiplication; memory array; multiply-accumulate; Neural network model; peripheral circuits; von Neumann architecture Matrix algebra; Memory architecture; Multiplying circuits; Computing-in-memory; Device design; Matrix vector multiplication; Memory array; Multiplyaccumulate (MAC); Neumann architecture; Neural network model; Optimisations; Peripheral circuits; Von neumann architecture; Neural network models English 2024 2024 10.1109/access.2024.3511492 바로가기 바로가기 바로가기 바로가기
Article Biocompatible hydrogel coating on single living cells through visible light-induced polymerization Visible light-mediated photocatalysis leads to the efficient hydrogel coating of individual mammalian cells, functionalized with biocompatible anchor molecules tagged with fluorescein serving as a trifecta: photocatalyst, initiator, and fluorophore. NIH3T3 fibroblast cells are encapsulated within hydrogel shells of poly(ethylene glycol) diacrylate (PEGDA) and N-vinylpyrrolidone without any noticeable decrease in cell viability. Jung, Young Jae; Choi, Hyunwoo; Choi, Insung S.; Lee, Jungkyu K. Kyungpook Natl Univ, Dept Chem, Daegu 41566, South Korea; Kyungpook Natl Univ, Green Nano Mat Res Ctr, Daegu 41566, South Korea; Korea Adv Inst Sci & Technol, Dept Chem, Daejeon 34141, South Korea ; Choi, Hyunwoo/B-8669-2011; CHOI, INSUNG/C-1592-2011 57211604984; 57214847001; 7401471561; 59510700100 ischoi@kaist.ac.kr;jkl@knu.ac.kr; CHEMICAL COMMUNICATIONS CHEM COMMUN 1359-7345 1364-548X 61 2 SCIE CHEMISTRY, MULTIDISCIPLINARY 2024 4.2 34.9 0 2025-05-07 0 0 Animals; Biocompatible Materials; Catalysis; Cell Survival; Hydrogels; Light; Mice; NIH 3T3 Cells; Photochemical Processes; Polyethylene Glycols; Polymerization; Pyrrolidinones; Animal cell culture; Fibroblasts; Living polymerization; Photocatalysis; 1 vinyl 2 pyrrolidinone; chemicals and drugs; fluorescein; hydrogel; hydrogen peroxide; macrogol; poly ethylene glycol diacrylate; streptavidin; triethanolamine; unclassified drug; 2 pyrrolidone derivative; biomaterial; macrogol derivative; N-vinyl-2-pyrrolidinone; poly(ethylene glycol)diacrylate; Cell-be; Cell/B.E; Cell/BE; Fibroblast cells; Functionalized; Hydrogel coatings; Living cell; Mammalian cells; Visible light; Visible light induced; animal cell; Article; biocompatibility; catalysis; cell proliferation; cell survival; cell therapy; cell viability; chemical reaction; confocal laser scanning microscopy; controlled study; diagnostic procedure; encapsulation; environmental stress; fibroblast; fluorescence intensity; fluorescence microscopy; Hep-G2 cell line; human; hydrogelation; immobilization; light; mammal cell; micelle; NIH 3T3 cell line; nonhuman; photocatalysis; photochemistry; photopolymerization; polymerization; purification; reaction monitoring; room temperature; scanning electron microscopy; synthetic biology; tissue engineering; animal; cell survival; chemistry; drug effect; mouse; Mammals English 2024 2024-12-19 10.1039/d4cc03075c 바로가기 바로가기 바로가기 바로가기
Article Lithium-silver alloys in anode-less batteries: comparison in liquid- and solid-electrolytes This study comprehensively investigates the phase evolution of silver-carbon composite (Ag/C) layers in anode-less batteries with both liquid and solid electrolytes. The results of in situ X-ray diffraction and cross-sectional electron microscopy analyses reveal that the alloying reaction of Ag and Li is more homogeneous in solid-electrolyte-based cells compared to liquid-electrolyte-based cells. This homogeneity is attributed to diffusional Coble creep across the heterogeneous interfaces of Ag/C layers and solid electrolytes. In situ X-ray characterizations and electron microscopy observations reveal that lithium deposits in anode-less batteries are more homogeneous in solid electrolytes than in liquid electrolytes, attributed to the diffusional Coble creep process. Lee, Ju-Hyeon; Heo, Jeong Yeon; Kim, Ji Young; Bae, Ki Yoon; Son, Samick; Lee, Ji Hoon Kyungpook Natl Univ, Sch Mat Sci & Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, KNU Adv Mat Res Inst, Daegu 41566, South Korea; Hyundai Motor Co, Adv Battery Dev Grp, Hwaseong Si 16082, Gyeongi Do, South Korea Lee, Ju/M-8764-2019; Lee, Ji Hoon/T-4913-2017; Lee, Ji/AAU-7285-2021 57486987100; 58551045300; 59862726200; 57835701700; 57191888209; 55689885200 jihoonlee@knu.ac.kr; CHEMICAL COMMUNICATIONS CHEM COMMUN 1359-7345 1364-548X 60 63 SCIE CHEMISTRY, MULTIDISCIPLINARY 2024 4.2 34.9 0.6 2025-05-07 2 2 INTERLAYER Anodes; Carbon carbon composites; Lithium alloys; Lithium batteries; Phase interfaces; Silver alloys; alloy; electrolyte; fluorine; lithium; lithium ion; silver; Carbon composites; Coble creep; Cross-sectional electron microscopy; Electron microscopy analysis; Heterogeneous interfaces; In-situ X-ray diffraction; Liquid electrolytes; Phase evolutions; Article; cell volume; decomposition; diffusivity; dissolution; electrochemical analysis; electron microscopy; energy dispersive X ray spectroscopy; liquid; solid; ultra performance liquid chromatography; X ray absorption spectroscopy; X ray diffraction; anode electrode; article; controlled study; cross-sectional study; major clinical study; Solid electrolytes English 2024 2024-08-01 10.1039/d4cc02704c 바로가기 바로가기 바로가기 바로가기
Article Promoted room temperature NH3 gas sensitivity using interstitial Na dopant and structure distortion in Fe0.2Ni0.8WO4 The demand for gas-sensing operations with lower electrical power and guaranteed sensitivity has increased over the decades due to worsening indoor air pollution. In this report, we develop room-temperature operational NH3 gas-sensing materials, which are activated through electron doping and crystal structure distortion effect in Fe0.2Ni0.8WO4. The base material, synthesized through solid-state synthesis, involves Fe cations substitutionally located at the Ni sites of the NiWO4 crystal structure and shows no gas-sensing response at room temperature. However, doping Na into the interstitial sites of Fe0.2Ni0.8WO4 activates gas adsorption on the surface via electron donation to the cations. Additionally, the hydrothermal method used to achieve a more than 70-fold increase in the surface area of structure-distorted Na-doped Fe0.2Ni0.8WO4 powder significantly enhances gas sensitivity, resulting in a 4-times increase in NH3 gas response (R-g/R-a). Photoluminescence and XPS results indicate negligible oxygen vacancies, demonstrating that cation contributions are crucial for gas-sensing activities in Na-doped Fe0.2Ni0.8WO4. This suggests the potential for modulating gas sensitivity through carrier concentration and crystal structure distortion. These findings can be applied to the development of room-temperature operational gas-sensing materials based on the cations. Lee, Jong Hyun; Lee, Seung Yong; Choi, Myung Sik; Lee, Kyu Hyoung Yonsei Univ, Dept Mat Sci & Engn, Seoul, South Korea; Kyungpook Natl Univ, Dept Nano & Adv Mat Sci & Engn, Sangju 37224, South Korea; Yonsei KIST Convergence Res Inst, Seoul, South Korea Choi, Myung-Sik/J-5687-2012 59005304400; 57436380000; 57190737942; 35205856800 ms.choi@knu.ac.kr;khlee2018@yonsei.ac.kr; FRONTIERS IN CHEMISTRY FRONT CHEM 2296-2646 12 SCIE CHEMISTRY, MULTIDISCIPLINARY 2024 4.2 34.9 0 2025-05-07 2 2 metal oxide; NiWO4; gas sensor; NH3 gas; co-doping SENSORS co-doping; gas sensor; metal oxide; NH<sub>3</sub> gas; NiWO<sub>4</sub> English 2024 2024-10-23 10.3389/fchem.2024.1480294 바로가기 바로가기 바로가기 바로가기
Article Weyl fermions with various chiralities in an f -electron ferromagnetic system: PrB4 Rare-earth tetraborides (RB4) have attracted a lot of recent attention due to their intriguing electronic, magnetic, and topological properties. We have theoretically investigated the topological properties of PrB4, which is unique among the RB4 family due to its ferromagnetic ground state. We have discovered that PrB4 is an intrinsic magnetic Weyl system possessing multiple topological band crossings with various chiral charges. Density-functional-theory band calculations combined with a tight-binding band analysis reveal large Fermi-arc surface states, which are characteristic fingerprints of Weyl fermions. Anomalous Hall conductivity is estimated to be very large, ranging from 500 to 1000 (Q cm)-1 near the Fermi level, which also demonstrates the topological Weyl character of ferromagnetic PrB4. These findings suggest that PrB4, being a potential candidate of a magnetic Weyl system, would be a promising rare-earth topological system for applications to next-generation spintronic and photonic devices. Ryu, Dong-Choon; Kim, Junwon; Kim, Kyoo; Kim, Bongjae; Kang, Chang-Jong; Min, B. I. Pohang Univ Sci & Technol, Dept Phys, Pohang 37673, South Korea; Kunsan Natl Univ, Dept Phys, Gunsan 54150, South Korea; Chungnam Natl Univ, Dept Phys, Daejeon 34134, South Korea; Korea Atom Energy Res Inst, Daejeon 34057, South Korea; Kyungpook Natl Univ, Dept Phys, Daegu 41566, South Korea; Chungnam Natl Univ, Inst Quantum Syst, Daejeon 34134, South Korea Kang, Chang-Jong/A-3959-2019; MIN, B. I./U-3364-2017; MIN, BYUNG IL/U-3364-2017 57207939217; 55720082600; 57214859153; 59510736600; 55145514400; 7202932118 dcrhyu@postech.ac.kr;cjkang87@cnu.ac.kr;bimin@postech.ac.kr; PHYSICAL REVIEW B PHYS REV B 2469-9950 2469-9969 110 7 SCIE MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED;PHYSICS, CONDENSED MATTER 2024 3.7 35.0 0 2025-05-07 1 1 TOTAL-ENERGY CALCULATIONS; SEMIMETAL PHASE Chirality; Energy gap; Fermi level; Fermi surface; Fermions; Ferromagnetism; Gallium compounds; Praseodymium compounds; Band calculation; Density-functional-theory; F-electrons; Ferromagnetic ground state; Ferromagnetic systems; Rare-earths; Systems possessing; Tight binding; Topological bands; Topological properties; Ground state English 2024 2024-08-27 10.1103/physrevb.110.075156 바로가기 바로가기 바로가기 바로가기
Article Effect of Hydrosol Obtained from Camellia japonica Branch on a-MSH-Induced Melanin and Tyrosinase Activity in B16F10 Melanoma Cells Hydrosols that originate from various aromatic botanical sources in natural or organic settings contain a spectrum of fragrant compounds, which can be extracted from leaves, stems, peels, flowers, and roots. These compounds are known to exhibit diverse medicinal properties. However, there is limited research on hydrosols extracted from Camellia japonica branches, specifically in terms of their potential to inhibit tyrosinase. Hence, the aim of this study was to investigate the chemical composition of these hydrosols and their effects on inhibiting tyrosinase. Hexamethylcyclotrisiloxane (38.1%) and vanillin (25.3%) were identified as the primary constituents in the hydrosol through gas chromatography-mass spectrometry analysis. The inhibitory effects of the hydrosol, in comparison with the positive control arbutin, were evaluated against mushroom tyrosinase, revealing significant tyrosinase inhibitory properties for both the hydrosol and arbutin. Furthermore, in the presence of amelanocyte-stimulating hormone, the hydrosol notably diminished melanogenesis, resulting in a substantial reduction in melanin production. Genetic and protein analyses were conducted to uncover the mechanisms behind the hydrosol's inhibition of tyrosinase and reduction of melanin. The results suggest that the hydrosol may effectively shield melanocytes from detrimental factors associated with tyrosinase-related proteins. The antityrosinase activity of the hydrosol indicates its potential for promoting skin lightening. Ha, Si Young; Jung, Ji Young; Lee, Jung Myoung; Yang, Jae-Kyung Gyeongsang Natl Univ, Inst Agr & Life Sci, Dept Environm Mat Sci, Jinju 52828, South Korea; Kyungpook Natl Univ, Sch Forestry Sci & Landscape Architecture, Dept Wood & Paper Sci, Daegu 41566, South Korea Lee, Jung Myoung/LMP-9694-2024 56720056400; 55234587700; 16197909600; 9638499700 jkyang68@gmail.com; BIORESOURCES BIORESOURCES 1930-2126 19 1 SCIE MATERIALS SCIENCE, PAPER & WOOD 2024 1.6 35.4 0 2025-04-16 0 0 Anti-tyrosinase activity; Hexamethyl-cyclotrisiloxane; Skin whitening; Volatile compound ESSENTIAL OIL; ANTIOXIDANT; INHIBITION; EXTRACTS; LEAVES Anti-tyrosinase activity; Hexamethyl-cyclotrisiloxane; Skin whitening; Volatile compound Camellia; Cells; Control Systems; Gas Chromatography; Leaves; Proteins; Reduction; Vanillin; Gas chromatography; Mass spectrometry; Proteins; Antityrosinase activities; Arbutin; B16f10 melanoma cells; Cyclotrisiloxane; Hexamethyl-cyclotrisiloxane; Organics; Property; Skin whitening; Spectra's; Volatile compounds; Melanin English 2024 2024-02 10.15376/biores.19.1.789-804 바로가기 바로가기 바로가기 바로가기
Article Evaluation of Antioxidant Activity and Chemical Profile of Cudrania tricuspidata Tree Pruning Extract Obtained by Optimized Microwave-Assisted Extraction The residue from pruning Cudrania tricuspidata trees is considered a rich source of energy and bioactive compounds. Recovering these compounds from C. tricuspidata tree pruning could help mitigate potential economic and environmental concerns. The primary aim of this study was to investigate the impact of extraction temperature, duration, and liquid-to- residue ratio on the antioxidant activity, total phenolic content, and total flavonoid content of C. tricuspidata tree pruning, using the response surface methodology. The results indicated that the microwave-assisted extraction temperature or microwave-assisted extraction time was the most crucial variable in the extraction process (Significance at p-value < 0.001- 0.05 for antioxidant activity and chemical profile). It is worth mentioning that the optimal extraction conditions for achieving maximum 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity, 2,2'azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical cation induction activity, total polyphenol content, and total flavonoid content were distinct from one another, necessitating specific optimization for each targeted characteristic. The optimized extraction conditions yielded 85.8% DPPH radical scavenging activity, 95.4% ABTS radical cation induction activity, 2.72 mg/g total polyphenol content, and 2.53 mg/g total flavonoid content. These results highlight the potential of C. tricuspidata as a valuable dietary source of phenolic antioxidants for human health. Ha, Si Young; Jung, Ji Young; Lee, Jung Myoung; Yang, Jae-Kyung Gyeongsang Natl Univ, Inst Agr & Life Sci, Dept Environm Mat Sci, Jinju 52828, South Korea; Kyungpook Natl Univ, Sch Forestry Sci & Landscape Architecture, Dept Wood & Paper Sci, Daegu 41566, South Korea Lee, Jung Myoung/LMP-9694-2024 56720056400; 55234587700; 16197909600; 9638499700 jkyang68@gmail.com; BIORESOURCES BIORESOURCES 1930-2126 19 4 SCIE MATERIALS SCIENCE, PAPER & WOOD 2024 1.6 35.4 0 2025-05-07 0 0 Antioxidant activity; Tree pruning; Microwave-assisted; Response surface methodology PHENOLIC-COMPOUNDS; TEMPERATURE; POLYPHENOLS; CAPACITY; SOLVENT; STRESS; FRUITS; TIME Antioxidant activity; Microwave-assisted; Response surface methodology; Tree pruning Antioxidants; Chemicals; Extraction; Flavonoids; Processes; Pruning; Temperature; Trees; Antioxidants; Medicinal chemistry; Activity profile; Antioxidant activities; Chemical profiles; Extraction conditions; Extraction temperatures; Microwave-assisted; Microwave-assisted extraction; Response-surface methodology; Total flavonoid contents; Tree pruning; Flavonoids English 2024 2024-11 10.15376/biores.19.4.8781-8796 바로가기 바로가기 바로가기 바로가기
Article One-Dimensional Convolutional Neural Networks with Infrared Spectroscopy for Classifying the Origin of Printing Paper Herein, the challenge of accurately classifying the manufacturing origin of printing paper, including continent, country, and specific product, was addressed. One-dimensional convolutional neural network (1D CNN) models trained on infrared (IR) spectrum data acquired from printing paper samples were used for the task. The preprocessing of the IR spectra through a second -derivative transformation and the restriction of the spectral range to 1800 to 1200 cm -1 improved the classification performance of the model. The outcomes were highly promising. Models trained on second -derivative IR spectra in the 1800 to 1200 -cm -1 range exhibited perfect classification for the manufacturing continent and country, with an impressive Fl score of 0.980 for product classification. Notably, the developed 1D CNN model outperformed traditional machine learning classifiers, such as support vector machines and feed -forward neural networks. In addition, the application of data point attribution enhanced the transparency of the decision -making process of the model, offering insights into the spectral patterns that affect classification. This study makes a considerable contribution to printing paper classification, with potential implications for accurate origin identification in various fields. Hwang, Sung-Wook; Park, Geungyong; Kim, Jinho; Kang, Kwang-Ho; Lee, Won-Hee Kyungpook Natl Univ, Human Resources Dev Ctr Big Data Based Glocal Fore, 80 Daehak Ro, Daegu 41566, South Korea; Kyungpook Natl Univ, Coll Agr & Life Sci, Dept Wood Sci & Technol, 80 Daehak Ro, Daegu 41566, South Korea; HP Printing Korea, 26 Yeonnaegaeul Ro, Seongnam Si 13105, Gyeonggi Do, South Korea 57139273300; 59605760700; 56813308400; 25927186200; 58950753600 kwangho.kang@hp.com;leewh@knu.ac.kr; BIORESOURCES BIORESOURCES 1930-2126 19 1 SCIE MATERIALS SCIENCE, PAPER & WOOD 2024 1.6 35.4 3.1 2025-04-16 8 12 Classification; Convolutional neural network; Printing paper; Infrared spectroscopy; Data point attribution FT-IR; CELLULOSE; WOOD; IDENTIFICATION; FIBERS Classification; Convolutional neural network; Data point attribution; Infrared spectroscopy; Printing paper Classification; Data; Decision Making; Infrared Spectroscopy; Neural Networks; Printing Papers; Products; Spectra; Convolution; Convolutional neural networks; Decision making; Feedforward neural networks; Infrared spectroscopy; CNN models; Convolutional neural network; Data point attribution; Datapoints; Infrared spectrum; Infrared: spectroscopy; One-dimensional; Printing papers; Second derivatives; Spectra datum; Support vector machines English 2024 2024-02 10.15376/biores.19.1.1633-1651 바로가기 바로가기 바로가기 바로가기
Article Optimizing the Extraction of Sasa quelpaertensis Nakai to Develop Natural Cosmetics with Antioxidant and Whitening Activities Optimization of the extraction procedure was performed to enhance the antioxidant activity and whitening effect of Sasa quelpaertensis Nakai extract using response surface methodology (RSM). The central composite design, a component of RSM, was utilized to optimize and validate the ethanol extract for antioxidant activity and the hot water extract for the whitening effect, respectively. Activities of antioxidant and whitening were determined by DPPH and tyrosinase inhibition assays. The antioxidant activity was notably influenced by ethanol concentration (p = 0.0344) more than other factors. The optimal conditions for the antioxidant effect were 54% ethanol concentration, 52 degrees C, and 3 h extraction time, yielding an antioxidant activity of 83.65 +/- 1.56%. On the other hand, the whitening effect was significantly impacted by ultrasonic irradiation time (p = 0.0175) compared to other factors. The optimal conditions for whitening were 41 degrees C, 1:19 of sample-to-solvent ratio, and 8 min of ultrasonic irradiation, achieving a tyrosinase inhibition activity of 51.00 +/- 1.80%. Highperformance liquid chromatography (HPLC) analysis was conducted to identify compounds such as tricin with antioxidant activity and p-coumaric acid, arbutin with whitening effect under the optimized conditions. The results suggest that the optimized extracts from S. quelpaertensis could be utilized as beneficial cosmeceutical materials. Han, Eun-Hye; Kim, Hyeyun; Jo, Jaemin; Lee, Su-Peon; Koo, Bonwook Daegu Haany Univ, Dept Cosmeceut Sci, Gyeongsangbuk Do 38578, South Korea; Korea Inst Sci & Technol, Extreme Mat Res Ctr, Seoul 02792, South Korea; Kyungpook Natl Univ, Inst Agr Sci & Technol, Daegu 41566, South Korea; Natl Inst Forest Sci, Div Res Planning & Coordinat, Seoul 02455, South Korea; Kyungpook Natl Univ, Sch Forestry Sci & Landscape Architecture, Daegu 41566, South Korea 59253785100; 56981372900; 57218619190; 56544936600; 57219957247 bkoo@knu.ac.kr; BIORESOURCES BIORESOURCES 1930-2126 19 3 SCIE MATERIALS SCIENCE, PAPER & WOOD 2024 1.6 35.4 0 2025-05-07 0 0 Sasa quelpaertensis Nakai; Ethanol extraction; Hot water extraction; Response surface methodology; Tyrosinase inhibition assay; DPPH assay OPTIMIZATION; METHODOLOGY; LEAVES DPPH assay; Ethanol extraction; Hot water extraction; Response surface methodology; Sasa quelpaertensis Nakai; Tyrosinase inhibition assay Antioxidants; Ethanol; Extraction; Radiation Effects; Surface Properties; Water; Antioxidants; Ethanol; Extraction; Irradiation; Surface properties; Water; Antioxidant activities; DPPH assay; Ethanol concentrations; Ethanol extraction; Hot water extraction; Inhibition assays; Response-surface methodology; Sasa quelpaertensis nakai; Tyrosinase inhibition; Tyrosinase inhibition assay; High performance liquid chromatography English 2024 2024-08 10.15376/biores.19.3.6427-6443 바로가기 바로가기 바로가기 바로가기
Article Bayesian Estimation of Neyman-Scott Rectangular Pulse Model Parameters in Comparison with Other Parameter Estimation Methods Neyman-Scott rectangular pulse is a stochastic rainfall model with five parameters. The impacts of initial values and optimization methods on the parameter estimation of the Neyman-Scott rectangular pulse model were investigated using both the method of moments and the method of maximum likelihood. The estimates using the method of moments were influenced by the optimization method and were sensitive to the initial values and the aggregation scale of the data. Thus, by using frequentist estimation methods, we cannot guarantee the unique values as estimates. The aim of this study is to find more reliable unique values as estimates using a Bayesian approach. In this approach, parameters are estimated from the posterior distribution, and model performance is assessed by comparing observed values with fitted values. Slice sampling within the Gibbs sampler algorithm demonstrates superior convergence and model fitting, yielding unique estimates for the model parameters. The main conclusion of this study is that Bayesian estimation methods outperform other estimation methods in terms of providing reliable and stable estimates that improve rainfall generation accuracy. Nizeyimana, Pacifique; Lee, Kyeong Eun; Kim, Gwangseob Adventist Univ Cent Africa, Fac IT, Dept Big Data Analyt, Kigali, Rwanda; Kyungpook Natl Univ, Coll Nat Sci, Dept Stat, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Architectural Civil Environm & Energy Engn, 80 Daehak Ro, Daegu 41566, South Korea 58075891200; 56041259000; 56460622700 pacifique.nizeyimana@auca.ac.rw;artlee@knu.ac.kr;kimgs@knu.ac.kr; WATER WATER-SUI 2073-4441 16 17 SCIE ENVIRONMENTAL SCIENCES;WATER RESOURCES 2024 3 35.5 0.99 2025-05-07 1 2 Bayesian estimation; Neyman-Scott rectangular pulse model; optimization; rainfall RAINFALL Bayesian estimation; Neyman–Scott rectangular pulse model; optimization; rainfall Stochastic systems; Bayesian estimations; Estimation methods; Modeling parameters; Neyman–scott rectangular pulse model; Optimisations; Optimization method; Parameter estimation method; Pulse model; Rectangular pulse; Stochastic rainfalls; Bayesian analysis; parameter estimation; rainfall; sampler; sampling; Stochastic models English 2024 2024-09 10.3390/w16172515 바로가기 바로가기 바로가기 바로가기
Article Crop Water Use and a Gravity Model Exploration of Virtual Water Trade in Ghana's Cereal Agriculture Agricultural water productivity is crucial for sustainability amidst the escalating demand for food. Cereals are pivotal in providing nutritious food at affordable prices. This study was based on Ghanaian data spanning from 1992 to 2021 to evaluate water usage in the cultivation of major cereals. It also examined the virtual water losses or gains in cereal trade alongside influencing factors. The analysis utilized secondary data encompassing the virtual water content, production quantity, export and import quantities, distance, GDP per capita, population, and land per capita of Ghana and its 75 trade partners. In the last 5 years, crop water use (CWU) reached an average of 7.08 billion m3/yr for maize, 3.48 billion m3/yr for rice, 1.08 billion m3/yr for sorghum, and 0.63 billion m3/yr for millet production. Ghana's major partners for exported virtual water (EVW) were Niger, Burkina Faso, South Africa, and Togo. Major partners for imported virtual water (IVW) were Argentina, South Africa, Ukraine, Togo, Russia, Burkina Faso, Canada, Senegal, Nigeria, Portugal, UK, Niger, and the USA. The Panel Least Squares Method of regression was used to apply the Gravity Model principle in assessing influencing factors. The findings indicate that Ghana is a net importer of virtual water in the cereal trade, with significant influences from geographical distance, GDP per capita, population, land per capita, and cereal water use. Tette, Alexander Sessi Kosi; Odey, Golden; Ahmad, Mirza Junaid; Adelodun, Bashir; Choi, Kyung-Sook Kyungpook Natl Univ, Dept Food Secur & Agr Dev, Daegu 41566, South Korea; Ohawu Agr Coll, Dept Agr Engn, Minist Food & Agr, POB 28, Abor, Volta Region, Ghana; Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea; Univ Ilorin, Dept Agr & Biosyst Engn, Ilorin 240103, Nigeria; Kyungpook Natl Univ, Inst Agr Sci & Technol, Daegu 41566, South Korea ; Odey, Golden/MVV-6310-2025; Adelodun, Bashir/O-2941-2018; Ahmad, Mirza/AAD-5982-2020 59252207800; 57211444984; 57201479907; 57193774482; 54392662900 alexandertette@gmail.com;goldenodey@gmail.com;agri.junaid1205@gmail.com;adelodun.b@unilorin.edu.ng;ks.choi@knu.ac.kr; WATER WATER-SUI 2073-4441 16 15 SCIE ENVIRONMENTAL SCIENCES;WATER RESOURCES 2024 3 35.5 0.99 2025-05-07 3 3 cereals; crop water use; gravity model; virtual water; water footprint; Ghana FLOWS; GREEN cereals; crop water use; Ghana; gravity model; virtual water; water footprint Argentina; Burkina Faso; Canada; Ghana; Niger [Nigeria]; Nigeria; Portugal; Russian Federation; Senegal; South Africa; Togo; Ukraine; United Kingdom; United States; Binary alloys; Crops; Cultivation; Least squares approximations; Population statistics; Potassium alloys; Uranium alloys; Burkina Faso; Cereal; Crop water use; Ghana; Gravity modeling; Niger; Per capita; South Africa; Virtual water; Water footprint; agricultural trade; cereal; crop production; cultivation; exploration; export; Gross Domestic Product; millet; sustainability; water footprint; water use; Commerce English 2024 2024-08 10.3390/w16152077 바로가기 바로가기 바로가기 바로가기
Article Design and Optimization of Water Level Control Gate System in Malwathu Oya River, Sri Lanka This research focuses on improving flood management of the Malwathu Oya River in Anuradhapura Historical City, Sri Lanka, by designing an efficient gate system for the weir of Halpan Ela in the Malwathu Oya River. Frequent flooding threatens agriculture, infrastructure, and public safety in this region. This research aims to enhance water level control in the upper reach of Halpan Ela Anicut by evaluating rainfall patterns, tank spillway efficiency, and gate operation challenges. Historical data on rainfall and tank spillage were analyzed. Flow simulations revealed significant pressure differences, with the existing gate structure showing an upstream pressure of 114,492.5 Pa at a maximum flow of 1740 m3/s, compared to 105,406 Pa for the new flap gate system at the same flow rate. This represents a pressure difference of 9 kPa, equivalent to a 0.9 m water head. Despite the system's estimated cost of USD 0.1 million, the potential reduction in river flood damage, which currently exceeds USD 0.2 million annually, demonstrates its value. This research emphasizes the effectiveness of the flap gate system in reducing flood risks in Anuradhapura City compared to the existing gate type, though it is only a part of a broader flood mitigation strategy. Rathnayaka, Pradeep Tharanga Kumara; Lee, Jin-Young Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea; Minist Irrigat & Water Resources Management, Dept Irrigat, Reg Mech Engn Off, Anuradhapura 50000, Sri Lanka 59368837900; 57203144661 ptkrathnayake@knu.ac.kr;jinyounglee@knu.ac.kr; WATER WATER-SUI 2073-4441 16 19 SCIE ENVIRONMENTAL SCIENCES;WATER RESOURCES 2024 3 35.5 0 2025-05-07 0 0 Sri Lanka; flood water; Malwathu Oya River; flap gates; water level control flap gates; flood water; Malwathu Oya River; Sri Lanka; water level control Anuradhapura; North Central Province; Sri Lanka; Sri Lanka; Bioremediation; Canal gates; Fertilizers; Flood control; Hydraulic gates; River pollution; Rivers; Spillway gates; Control gates; Design and optimization; Flap gates; Flood waters; Gate systems; Malwathu oyum river; Pressure differences; Research focus; Sri Lanka; Water level control; flood damage; flooding; hazard management; optimization; precipitation intensity; river flow; simulation; spillway; water level; Flood damage English 2024 2024-10 10.3390/w16192797 바로가기 바로가기 바로가기 바로가기
Article Development of Daily Flow Expansion Regression and Web GIS-Based Pollutant Load Evaluation System This study accounted for the importance of daily expansion flow data in compensating for insufficient flow data in a watershed. In particular, the 8-day interval flow measurement data (intermittent monitoring data) could cause uncertainty in the high- or low-flow conditions that have been used to estimate the flow duration curve (FDC) and the load duration curve (LDC) used in Total Maximum Daily Load (TMDL) evaluation in Korea. Thus, this study developed a method to expand the 8-day interval flow data (missing data) to daily flow data in order to evaluate the Total Maximum Daily Load (TMDL) appropriately in a watershed. We employed the machine learning technique (the gradient descent method provided by the Google TensorFlow package) to develop a regression for expanding the 8-day interval flow data. The method was applied in the Nakdong River basin located in Korea to collect the 8-day interval and daily flow data from a number of gauging stations. The results of the expanded daily flow were evaluated through the RMSE, MAE, IOA, and NSE, and the valid expanded daily flow data were obtained for the 29 TMDL gauging stations (IOA 0.84 similar to 0.99, NSE -0.18 similar to 0.99). A good performance in the creation of daily flow data (continuous data) from the 8-day interval flow data (intermittent data) was shown using the proposed method. In addition, the Web GIS-based pollutant load assessment system was developed to evaluate the TMDL; it included the daily data expansion method and provided the pollution load characteristics objectively and intuitively. This system will help decision makers, such as environmental regulators, researchers, and the general public, and support their decision making for pollution source management with accessible and efficient tools for understanding and addressing water quality issues. Kum, Donghyuk; Ryu, Jichul; Shin, Yongchul; Jeon, Jihong; Han, Jeongho; Lim, Kyoung Jae; Kim, Jonggun EM Res Inst, Chuncheon Si 24341, South Korea; Natl Inst Environm Res NIER, Chuncheon Si 22689, South Korea; Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea; Andong Natl Univ, Dept Environm Engn, Andong 760749, South Korea; Univ Illinois, Dept Agr & Biol Engn, Champaign, IL 61820 USA; Kangwon Natl Univ, Dept Reg Infrastruct Engn, Chuncheon Si 24341, South Korea 55964361000; 36657708400; 55659438100; 8715990900; 57203431763; 35176071700; 35435507500 kumdong@hotmail.com;jgkim@kangwon.ac.kr; WATER WATER-SUI 2073-4441 16 5 SCIE ENVIRONMENTAL SCIENCES;WATER RESOURCES 2024 3 35.5 0.5 2025-05-07 1 1 daily and 8-day interval flow measurement; machine learning; flow duration curve and load duration curve; TMDL; Web GIS-based pollutant load evaluation system MAXIMUM DAILY LOAD; MODEL daily and 8-day interval flow measurement; flow duration curve and load duration curve; machine learning; TMDL; Web GIS-based pollutant load evaluation system Nakdong Basin; South Korea; Decision making; Flow measurement; Geographic information systems; Gradient methods; River pollution; Uncertainty analysis; Water quality; Watersheds; Daily and 8-day interval flow measurement; Flow duration curve; Flow duration curve and load duration curve; Load duration curves; Load evaluation system; Machine-learning; Pollutant loads; Total maximum daily load; Web GIS-based pollutant load evaluation system; Web-GIS; decision making; flow measurement; GIS; machine learning; pollutant source; water quality; Machine learning English 2024 2024-03 10.3390/w16050744 바로가기 바로가기 바로가기 바로가기
Review Earthworms as Catalysts for Climate-Resilient Agriculture: Enhancing Food Security and Water Management in the Face of Climate Change Climate-smart farming practices are increasingly essential to address the challenges of food security and water scarcity amidst changing environmental conditions. Earthworms play a pivotal role in enhancing soil health and resilience, contributing to sustainable agricultural production. Their activities improve soil structure, facilitate water infiltration, and enhance nutrient cycling, promoting plant growth and development. By sequestering carbon in the soil, earthworms contribute to mitigating climate change. Additionally, they help to reduce soil erosion and improve water retention, leading to more efficient water use and reduced reliance on external inputs. Furthermore, earthworms can help to mitigate the negative impacts of air pollution by reducing the release of harmful gases. Integrating earthworms into agricultural systems can be a promising strategy for adapting to climate change. However, further research is needed to optimize their use and fully understand their potential benefits. By harnessing the ecological services provided by earthworms, we can promote sustainable agriculture and ensure food security in a changing climate. Toor, Muhammad Danish; Basit, Abdul; Okorie, Benedict; Nath, Dibyajyoti; Din, Muhammad Mughees Ud; Verma, Pawan Kumar; Sajjad, Saleem; Ullah, Izhar; Yousef, Hany N.; Mohamed, Heba I. Ondokuz Mayis Univ, Fac Agr, Dept Soil Sci & Plant Nutr, Samsun, Turkiye; Univ Tartu, Inst Ecol & Earth Sci, Fac Sci & Technol, Chair Mycol,Dept Bot, Tartu, Estonia; Kyungpook Natl Univ, Dept Hort Sci, Daegu 41566, South Korea; Agr Univ, Fac Agron, Dept Agrochem & Soil Sci, Plovdiv, Bulgaria; Dr Rajendra Prasad Cent Agr Univ, Dept Soil Sci, Samastipur 848125, Bihar, India; Univ Agr Faisalabad, Inst Soil & Environm Sci, Faisalabad 38040, Pakistan; Banaras Hindu Univ, Inst Agr Sci, Dept Agron, Varanasi 221005, India; Univ Sargodha, Coll Agr, Sargodha, Pakistan; Ondokuz Mayis Univ, Fac Agr, Dept Hort, Samsun, Turkiye; Ain Shams Univ, Fac Educ, Biol & Geol Sci Dept, Cairo 11341, Egypt Verma, Pawan/ABA-0143-2022; Nath, Dibyajyoti/JNS-5062-2023; Ullah, izhar/MYR-3437-2025; mohamed, heba/U-8673-2019; Okorie, Benedict/NRX-9957-2025; Yousef, Hany/C-2589-2011; Basit, Abdul/AAX-2414-2021 57375664400; 58696991300; 58036395400; 58510196600; 59400031500; 59399682300; 59399598500; 57211559793; 56736027600; 37102371200 mdtoor336@gmail.com;hebaibrahim79@gmail.com; WATER AIR AND SOIL POLLUTION WATER AIR SOIL POLL 0049-6979 1573-2932 235 12 SCIE ENVIRONMENTAL SCIENCES;METEOROLOGY & ATMOSPHERIC SCIENCES;WATER RESOURCES 2024 3 35.5 0.32 2025-05-07 2 2 Climate-smart farming; Earthworms' role; Soil health; Food security; Water management; Climate change mitigation; Ecosystem balance SOIL MICROBIAL COMMUNITY; ARBUSCULAR MYCORRHIZAL FUNGI; GREENHOUSE-GAS EMISSIONS; SHORT-TERM CARBON; ORGANIC-MATTER; SMART AGRICULTURE; NITROGEN DYNAMICS; QUALITY; MINERALIZATION; IMPACTS Climate change mitigation; Climate-smart farming; Earthworms' role; Ecosystem balance; Food security; Soil health; Water management soil water; Climate change mitigation; Climate-smart farming; Earthworm' role; Ecosystem balance; Farming practices; Food security; Security management; Soil health; Waters managements; ]+ catalyst; alternative agriculture; catalyst; climate change; earthworm; food security; water management; agricultural waste; agricultural worker; agriculture; Article; bioaccumulation; biodiversity; biomass production; bioremediation; bulk density; carbon sequestration; catalyst; climate change; climate resilience; coculture; composting; crop rotation; cropping system; denitrification; earthworm; ecosystem; Eisenia fetida; environmental health; food security; freshwater environment; greenhouse gas; greenhouse gas emission; intercropping; leaf litter; microbial community; microbial diversity; nonhuman; pedogenesis (soil); photosynthesis; phytoremediation; plant root; pollution; prevalence; rhizosphere; soil erosion; soil fertility; soil health; soil microflora; soil moisture; soil pollution; soil quality; soil respiration; soil texture; tillage; vermicompost; wastewater; water insecurity; water management; water permeability; water retention; waterlogging; Climate change English 2024 2024-12 10.1007/s11270-024-07576-6 바로가기 바로가기 바로가기 바로가기
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Publication Year 논문이 출판된 연도입니다.
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