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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
Conference paper Energy-efficient UAV-based Edge Computing Systems for XR Applications In this paper, we propose an energy-efficient unmanned aerial vehicle (UAV)-based mobile edge computing system to minimize the total energy consumption of mobile users (MUs) using X-Reality (XR) applications. Specifically, based on the characteristics of XR that have elements in common with neighboring users, we jointly optimize the UAV's trajectory and resources for communication and computation, whose performances are verified via simulations. © 2023 IEEE. Jung, Jaewoo; Jeong, Seongah Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, 41566, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, 41566, South Korea 58875156700; 55210226900 waoln3391@knu.ac.kr; International Conference on ICT Convergence 2162-1233 0.43 2025-06-25 1 Edge computing; energy minimization; resource allocation; trajectory; unmanned aerial vehicle (UAV); X-Reality (XR) Energy efficiency; Energy utilization; Green computing; Mobile edge computing; Resource allocation; Unmanned aerial vehicles (UAV); Aerial vehicle; Computing system; Edge computing; Energy efficient; Energy minimization; Energy-consumption; Resources allocation; Total energy; Unmanned aerial vehicle; X-reality; Antennas English Final 2023 10.1109/ictc58733.2023.10392372 바로가기 바로가기
Article Enhanced Adsorption Performance for Organic Materials by Electron Beam-Treated Ti3C2Tx MXene; [전자빔 표면처리를 통한 Ti3C2Tx MXene의 유기물 흡착성능 향상] MXene is one of the most fascinating 2D materials owing to its great electrical properties and unique performance. Among various application areas, the performance of organic material adsorption has been highlighted with the growing interest in the biocompatible applications of MXene. Although previous research revealed that the huge surface area of this 2D nanomaterial could lead to superior organic material adsorption performance, surface functional groups were usually controlled by changing the pH, and the MXene was generally produced by HF etchant. In this study, a surface modification method of Ti3C2Tx MXene film was proposed to enhance organic material adsorption by irradiating the pulsed plasma electron beam (EB). Methylene blue (MB)-dispersed DI water was prepared, and pristine MXene was prepared at pH 7. The MB concentration was only reduced by 20% by pristine MXene. However, EB-treated MXene adsorbed about 75% of the MB within 20 min and over 90% within 80 min when the MXene film was ground to powder form. The results showed that the increased surface area and formation of hydrophilic functional groups successfully modified MB adsorption following EB irradiation under optimal processing conditions. Copyright © The Korean Society for Precision Engineering. Hwang, Yun Jae; Lim, Min Hyeok; Paeng, Changung; Park, Hyung Wook; Kim, Jisoo Department of Mechanical Engineering, Ulsan National Institute of Science and Technology, South Korea; School of Advanced Materials Science and Engineering, Kyungpook National University, South Korea; School of Advanced Materials Science and Engineering, Kyungpook National University, South Korea; Department of Mechanical Engineering, Ulsan National Institute of Science and Technology, South Korea; Department of Precision Mechanical Engineering, Kyungpook National University, South Korea, Department of Advanced Science and Technology Convergence, Kyungpook National University, South Korea 57226367879; 58161475100; 58161154100; 55537550000; 57192647685 js.kim@knu.ac.kr; Journal of the Korean Society for Precision Engineering 1225-9071 40 3 0 2025-06-25 0 2D nanomaterials; Electron beam; MXene; Organic materials adsorption; Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> Korean Final 2023 10.7736/jkspe.022.147 바로가기 바로가기
Article Enhanced anti-methicillin-resistant Staphylococcus aureus activity of bacteriocin by encapsulation on silver nanoparticles The antibacterial property of silver nanoparticles (SNP) for combating antibiotic resistant bacteria has become increasingly important as a result of the emergence of multiple drug resistant pathogens. Due to a broader antibacterial range and decreased production doses, a combination of antibacterial agents and SNPs may prove to be more effective. Bacteriocin capped silver nanoparticles was characterized by UV–visible (UV–vis) spectroscopy, X-ray diffraction (XRD), scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDS), and transmission electron microscope (TEM) and biological applications of antibiofilm assay and bactericidal activity of SEM analysis. The biological assay of BCSNPs on these cells is evaluated by cell proliferation, Wound scratch assay, and apoptotic assay. The SEM and TEM images are formation of the BCSNPs with spherical, distinct, and smooth surfaces and small sizes of 16 nm–22 nm in diameter, respectively, with small peptides present on this surface. The biofilm biomass reduced to 80–90% was observed in methicillin-resistant Staphylococcus aureus (MRSA) treated with BCSNPs due to its improved binding with bacterial surface. The invitro results demonstrated the concentration dependent toxicity for the cells tested and the concentration was determined as 40–50 µg/mL in 3T3 cells. Finally, the results showed that BCSNPs possess low toxicity to normal cells. The synthesized BCSNPs biological innovation and economically strength in this formulation and its small size of nanoparticles reacted fast and low toxicity to normal mice fibroblast 3T3 cell. In future, application can be used in medicine. © 2021, King Abdulaziz City for Science and Technology. Dhanam, Selvam; Arumugam, Thangarasu; Elgorban, Abdallah M.; Rameshkumar, Neelamegam; Krishnan, Muthukalingan; Govarthanan, Muthusamy; Kayalvizhi, Nagarajan Regenerative Medicine Laboratory, Department of Zoology, School of Life Sciences, Periyar University, Tamil Nadu, Salem, 636011, India; Regenerative Medicine Laboratory, Department of Zoology, School of Life Sciences, Periyar University, Tamil Nadu, Salem, 636011, India; Department of Botany and Microbiology, College of Science, King Saud University, P.O. 2455, Riyadh, 11451, Saudi Arabia; School of Life Sciences, Central University of Tamil Nadu, Tamil Nadu, Thiruvarur, 610005, India; Central University of Tamil Nadu, Tamil Nadu, Thiruvarur, 610 005, India; Department of Environmental Engineering, Kyungpook National University, Daegu, 41566, South Korea; Regenerative Medicine Laboratory, Department of Zoology, School of Life Sciences, Periyar University, Tamil Nadu, Salem, 636011, India 57213711987; 57200338386; 55353581000; 35173727100; 7102069651; 54881927600; 15740927000 kayalvizhinagarajan@gmail.com; Applied Nanoscience (Switzerland) 2190-5509 13 2 1.14 2025-06-25 15 3T3-Mice fibroblast cell; Biofilm; Methicillin resistant; Silver nanoparticles; Staphylococcus aureus Bacteria; Biofilms; Cell culture; Cell proliferation; Drug delivery; Energy dispersive spectroscopy; Fibroblasts; Mammals; Metal nanoparticles; Scanning electron microscopy; Synthesis (chemical); Toxicity; Transmission electron microscopy; 3t3 mouse fibroblasts; 3t3-mouse fibroblast cell; Bacteriocins; Fibroblast cells; Low toxicity; Methicillin; Methicillin resistant; Methicillin-resistant staphylococcus aureus; Staphylococcus aureus; Transmission electron; Silver nanoparticles English Final 2023 10.1007/s13204-021-02023-y 바로가기 바로가기
Article Enhanced Crack Width Measurement Using GPS Coordinates From Drone Filming In this study, concrete crack widths were quantified by converting boundary sub-pixels, which were calculated using the Gradient Variation Vector, into 3D ground coordinates following photogrammetry principles. A series of experiments was conducted to validate the proposed method. Initially, twelve virtual cracks of different widths were affixed to a wall, and image-based measurements were conducted. Additionally, field tests entailed capturing images of real cracks on structural surfaces and measuring crack widths at four specified distances for precision assessment. The results revealed distinct patterns. In the virtual crack experiment, a noticeable trend emerged: as crack width decreased and imaging distance increased, measurement errors tended to increase. Conversely, in the actual crack experiment, a consistent trend in measurement accuracy was absent when compared to the virtual crack scenarios. Deviations remained generally minimal, and despite variations, measurement errors stayed largely consistent. © 2023 Architectural Institute of Korea. Kim, Tae-Woo; Seol, Dong-Hyeon; Kim, Gu-Yeon; Kim, Hong-Jin Dept. of Architectural Engineering, Kyungpook National University, South Korea; Dept. of Architectural Engineering, Kyungpook National University, South Korea; Dept. of Architectural Engineering, Kyungpook National University, South Korea; Dept. of Architectural Engineering, Kyungpook National University, South Korea 58871067900; 58497768200; 58429828600; 56278546400 hjk@knu.ac.kr; Journal of the Architectural Institute of Korea 2733-6239 39 11 0 2025-06-25 0 Collinear Condition Equation; Crack Width; Drone; Photogrammetry; Sub Pixel Korean Final 2023 10.5659/jaik.2023.39.11.243 바로가기 바로가기
Conference paper Enhanced Voltage Injection Control for Capacitor Voltage Balancing of MMC Under Low-Frequency Operation In this study, a control approach is presented that is designed for the Modular Multilevel Converter (MMC) to drive low frequency AC devices, such as motors that run at low speeds. The main objective is to improve the converter's dynamic performance, which is crucial for stable operation of motor drives. Theoretical analysis suggests that energy balance in cell capacitors used in motor drive applications may lead to instability during startup and low-frequency operation. Furthermore, the capacitors' energy pulsation is inversely proportional to the output frequency, resulting in significant pulsation at low frequency. Therefore, effective MMC operation requires advanced energy balancing techniques to reduce voltage fluctuations in individual cell capacitors. This paper introduces an enhanced strategy that injects leg offset voltage for low-frequency MMC operation, which is more efficient than existing methods. The proposed approach is evaluated through simulation with a low-frequency MMC output, and the results demonstrate its effectiveness by comparing and analyzing the size of the capacitor voltage ripple before and after the control is applied. © 2023 The Korean Institute of Power Electronics. Lee, Seung-Yong; Cui, Shenghui; Jung, Jae-Jung Kyungpook National University, School of Electronic and Electrical Engineering, South Korea; Seoul National University, Dept. of Electrical and Computer Engineering, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, South Korea 57437158700; 56157479900; 55368433400 ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics 0 2025-06-25 0 Arm energy balancing; circulating current; low frequency operation; modular multilevel converter (MMC); offset voltage Balancing; Electric drives; Electric motors; Power converters; Power electronics; Arm energy balancing; Circulating current; Energy-balancing; Frequency operation; Low frequency operation; Lower frequencies; Modular multilevel converter; Modulars; Multilevel converter; Offset voltage; Energy balance English Final 2023 10.23919/icpe2023-ecceasia54778.2023.10213656 바로가기 바로가기
Proceedings Paper Enhanced-feature pyramid network for semantic segmentation Semantic segmentation is a complicated topic when they require strictly the object boundary accuracy. For autonomous driving applications, they have to face a long range of objective sizes in the street scenes, so a single field of views is not suitable to extract input features. Feature pyramid network (FPN) is an effective method for computer vision tasks such as object detection and semantic segmentation. The architecture of this approach composes of a bottom-up pathway and a top-down pathway. Based on the structure, we can obtain rich spatial information from the largest layer and extract rich segmentation information from lower-scale features. The traditional FPN efficiently captures different objective sizes by using multiple receptive fields and then predicts the outputs from the concatenated features. The final feature combination is not optimistic when they burden the hardware with huge computation and reduce the semantic information. In this paper, we propose multiple predictions for semantic segmentation. Instead of combining four-feature scales together, the proposed method processes separately three lower scales as the contextual contributor and the largest features as the coarser-information branch. Each contextual feature is concatenated with the coarse branch to generate an individual prediction. By deploying this architecture, a single prediction effectively segments specific objective sizes. Finally, score maps are fused together in order to gather the prominent weights from the different predictions. A series of experiments is implemented to validate the efficiency on various open data sets. We have achieved good results 76.4% mIoU at 52 FPS on Cityscapes and 43.6% mIoU on Mapillary Vistas. Quyen, Van Toan; Lee, Jong Hyuk; Kim, Min Young Kyungpook Natl Univ, Elect & Elect Engn, Daegu, South Korea 57215669249; 57208132362; 56739349100 yersin@knu.ac.kr;leewer354@knu.ac.kr;minykim@knu.ac.kr; 2023 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION, ICAIIC 2831-6991 1.45 2025-06-25 2 3 Semantic segmentation; feature pyramid network; multiscale prediction; real-time application CONVNET feature pyramid network; multiscale prediction; real-time application; Semantic segmentation Forecasting; Network architecture; Object detection; Open Data; Semantic Web; Semantics; Autonomous driving; Feature pyramid; Feature pyramid network; Field of views; Input features; Multiscale predictions; Object boundaries; Pyramid network; Real-time application; Semantic segmentation; Semantic Segmentation English 2023 2023 10.1109/icaiic57133.2023.10067062 바로가기 바로가기 바로가기
Article Enhancement of Product-Inspection Accuracy Using Convolutional Neural Network and Laplacian Filter to Automate Industrial Manufacturing Processes The automation of the manufacturing process of printed circuit boards (PCBs) requires accurate PCB inspections, which in turn require clear images that accurately represent the product PCBs. However, if low-quality images are captured during the involved image-capturing process, accurate PCB inspections cannot be guaranteed. Therefore, this study proposes a method to effectively detect defective images for PCB inspection. This method involves using a convolutional neural network (CNN) and a Laplacian filter to achieve a higher accuracy of the classification of the obtained images as normal and defective images than that obtained using existing methods, with the results showing an improvement of 11.87%. Notably, the classification accuracy obtained using both a CNN and Laplacian filter is higher than that obtained using only CNNs. Furthermore, applying the proposed method to images of computer components other than PCBs results in a 5.2% increase in classification accuracy compared with only using CNNs. Jun, Hyojae; Jung, Im Y. Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea 58627996200; 18037522200 iyjung@ee.knu.ac.kr; ELECTRONICS 2079-9292 12 18 0.35 2025-06-25 3 4 printed circuit board; product inspection; Laplacian filter; convolutional neural network convolutional neural network; Laplacian filter; printed circuit board; product inspection English 2023 2023-09 10.3390/electronics12183795 바로가기 바로가기 바로가기
Article Enhancement of stimulated emission in Eu3+ activated oxyfluoroborotellurite glasses for reddish orange laser material Eu3+ activated oxyfluoroborotellurite glasses are enhancement stimulated emission by substitution of B2O3 with NaF whereas concentration of Eu3+ are fixed at 1.00 mol%. The present glasses have been prepared by melt quenching method. Seven absorption bands of present glasses have been observed in UV–VIS and NIR regions which originated from ground 7F0 and thermally populated 7F1 states to excited states. The absorption transitions of 7F0→5L6 and 7F0→7F6 were more intense compared to all transitions. The substitution of B2O3 with NaF has led to minor change absorption intensities. By stimulating with 395 nm, the emission spectra of present glasses exhibited four peaks which corresponding to 5D0→7F1,2,3,4 transitions. The transition of 5D0→7F2 showed the highest emission intensity. The substitution of B2O3 with NaF can enhance emission intensity due to the reduction of hydroxyl group. While the highest emission intensity has been found to be 35 mol% of NaF concentration. The absorption and emission results have been calculated stimulated emission by using Judd-Ofelt (JO) theory. The stimulated emission is found to be 109.1 × 10–21 cm2. Including the branching ratio is higher than 0.50. In the frame of chromaticity color coordinate which the present glasses are fallen in the reddish orange region. The results indicate that Eu3+ activated oxyfluoroborotellurite glasses could be used potentially for reddish orange laser material. © 2023 Elsevier GmbH Meejitpaisan, P.; Kothan, S.; Donbunthai, S.; Kim, H.J.; Kaewkhao, J. Physics Program, Faculty of Science and Technology, Nakhon Pathom Rajabhat University, Nakhon Pathom, 73000, Thailand, Center of Excellence in Glass Technology and Materials Science (CEGM), Nakhon Pathom Rajabhat University, Nakhon Pathom, 73000, Thailand; Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, 50200, Thailand; Physics Program, Faculty of Science and Technology, Nakhon Pathom Rajabhat University, Nakhon Pathom, 73000, Thailand, Center of Excellence in Glass Technology and Materials Science (CEGM), Nakhon Pathom Rajabhat University, Nakhon Pathom, 73000, Thailand; Department of Physics, Kyungpook National University, Daegu, 41566, South Korea; Physics Program, Faculty of Science and Technology, Nakhon Pathom Rajabhat University, Nakhon Pathom, 73000, Thailand, Center of Excellence in Glass Technology and Materials Science (CEGM), Nakhon Pathom Rajabhat University, Nakhon Pathom, 73000, Thailand 56006076500; 6507017165; 58531894800; 59051568100; 23974520300 meejitpaisan@webmail.npru.ac.th; Optik 0030-4026 289 0.54 2025-06-25 4 Europium; Oxyfluoroborotellurite glass; Reddish orange laser material; Stimulated emission Citrus fruits; Emission spectroscopy; Europium compounds; Glass; Judd-Ofelt theory; Sodium compounds; Tellurium compounds; Absorption intensity; Absorption transitions; Emission spectrums; Excited-states; Higher emission intensity; Laser materials; Melt quenching method; NIR regions; Oxyfluoroborotellurite glass; Reddish orange laser material; Stimulated emission English Final 2023 10.1016/j.ijleo.2023.171235 바로가기 바로가기
Conference paper Enhancing MPTCP Performance on High-Speed Trains with Predictive Handover-Aware Packet Scheduling In the environment of a high-speed train operating at a speed of 300 km/h, TCP experiences challenges arising from the train's high mobility, such as rapidly changing channel conditions and frequent inter-cell handovers. These challenges result in significant decreases in throughput and temporary connection interruptions. The Multi-Path TCP (MPTCP) using multiple cellular carriers for high-speed train scenarios is being considered as a solution to address these issues caused by frequent inter-cell handovers. However, the default scheduler(minRTT) of MPTCP inadequately handles frequent handovers occurring in the high-speed train environment, leading to a degradation in throughput. In this paper, we propose a location-based predictive handover-aware packet scheduler designed for the high-speed train environment, considering its unique characteristics: fixed path, stationary base station locations, and constant velocity. The proposed scheduler, upon handover occurrence, demonstrated an average instantaneous throughput enhancement of 20.8% and an overall throughput improvement of 1.95%. © 2023 IEEE. Kim, Min-Ki; Cho, You-Ze Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea 58556690800; 7404469829 yzcho@ee.knu.ac.kr; International Conference on ICT Convergence 2162-1233 0.43 2025-06-25 2 Handover; High-speed train; MPTCP; Packet scheduler; Transport protocols Railroad transportation; Railroads; Transmission control protocol; Vehicle performance; Cell handover; Hand over; High mobility; High speed trains; Multi-path TCP; Multipath; Packet scheduler; Packet scheduling; TCP performance; Transport protocols; Railroad cars English Final 2023 10.1109/ictc58733.2023.10393606 바로가기 바로가기
Proceedings Paper Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification In this paper, we carefully revisit the issues of conventional few-shot learning: i) gaps in highlighted features between objects in support and query samples, and ii) losing the explicit local properties due to global pooled features. Motivated by them, we propose a novel method to enhance robustness in few-shot learning by aligning prototypes with abundantly informed ones. As a way of providing more information, we smoothly augment the support image by carefully manipulating the discriminative part corresponding to the highest attention score to consistently represent the object without distorting the original information. In addition, we leverage word embeddings of each class label to provide abundant feature information, serving as the basis for closing gaps between prototypes of different branches. The two parallel branches of explicit attention modules independently refine support prototypes and information-rich prototypes. Then, the support prototypes are aligned with superior prototypes to mimic rich knowledge of attention-based smooth augmentation and word embeddings. We transfer the imitated knowledge to queries in a task-adaptive manner and cross-adapt the queries and prototypes to generate crucial features for metric-based few-shot learning. Extensive experiments demonstrate that our method consistently outperforms existing methods on four benchmark datasets. Kim, Tae-Hyung; Nam, Woo-Jeoung; Lee, Seong-Whan Korea Univ, Dept Artificial Intelligence, Seoul, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea Kim, Tae/AAL-8552-2021 55763791920; 57212464991; 7601390519 th_kim@korea.ac.kr;nwj0612@knuac.kr;sw.lee@korea.ac.kr; ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2023, PT I 2945-9133 1611-3349 13935 0 2025-06-25 0 0 Few-shot classification; Data augmentation; Attention mechanism Attention mechanism; Data augmentation; Few-shot classification Classification (of information); Attention mechanisms; Class labels; Data augmentation; Embeddings; Feature information; Few-shot classification; Local property; Novel methods; Parallel branches; Shot classification; Embeddings English 2023 2023 10.1007/978-3-031-33374-3_15 바로가기 바로가기 바로가기
Proceedings Paper Enhancing Stochastic Computing using a Novel Hybrid Random Number Generator Integrating LFSR and Halton Sequence This paper presents a new approach to address the increased hardware complexity and power demands associated with using multiple random number generator (RNG) in stochastic computing (SC). We propose a novel hybrid RNG, which combines a linear feedback shift register (LFSR) and a Halton sequence generator, to facilitate efficient generation of random number sequences in SC. Implemented in a 65-nm CMOS technology, our hybrid RNG yields up to 18% and 30% enhancements in area and power, respectively, compared to the traditional LFSR-based equivalent. Further, the proposed RNG's efficacy is demonstrated through its incorporation in SC-based Robert cross-edge detector algorithm, yielding reductions in area and power by 28% and 35%, respectively, while preserving superior processing quality. Lee, Donghui; Baik, Junhyuk; Kim, Yongtae Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea 57266466900; 57995712600; 55699627900 yongtae@knu.ac.kr; 2023 20TH INTERNATIONAL SOC DESIGN CONFERENCE, ISOCC 2163-9612 2.71 2025-06-25 1 5 stochastic computing (SC); random number generator (RNG); linear feedback shift register (LFSR); Halton sequence Halton sequence; linear feedback shift register (LFSR); random number generator (RNG); stochastic computing (SC) Feedback; Random number generation; Shift registers; Stochastic systems; Halton sequences; Linear feedback shift register; Linear feedback shift registers; New approaches; Power; Random number generator; Random number generators; Shift-register sequences; Stochastic computing; Number theory English 2023 2023 10.1109/isocc59558.2023.10396483 바로가기 바로가기 바로가기
Conference paper Enhancing text comprehension for Question Answering with Contrastive Learning Although Question Answering (QA) have advanced to the human-level language skills in NLP tasks, there is still a problem: the QA model gets confused when there are similar sentences or paragraphs. Existing studies focus on enhancing the text understanding of the candidate answers to improve the overall performance of the QA models. However, since these methods focus on re-ranking queries or candidate answers, they fail to resolve the confusion when many generated answers are similar to the expected answer. To address these issues, we propose a novel contrastive learning framework called ContrastiveQA that alleviates the confusion problem in answer extraction. We propose a supervised method where we generate positive and negative samples from the candidate answers and the given answer, respectively. We thus introduce ContrastiveQA, which uses contrastive learning with sampling data to reduce incorrect answers. Experimental results on four QA benchmarks show the effectiveness of the proposed method. © 2023 Association for Computational Linguistics. Lee, Seungyeon; Lee, Minho Department of Artificial Intelligence, Kyungpook National University, South Korea; Department of Artificial Intelligence, Kyungpook National University, South Korea, School of Electronics Engineering, Kyungpook National University, South Korea, ALI Co., Ltd., South Korea 58374246900; 57191730119 mholee@knu.ac.kr; Proceedings of the Annual Meeting of the Association for Computational Linguistics 0736-587X 0.97 2025-06-25 4 Computational linguistics; Natural language processing systems; Answer extraction; Human levels; Learning frameworks; Negative samples; Performance; Question Answering; Ranking queries; Re-ranking; Supervised methods; Text comprehensions; Query processing English Final 2023 10.18653/v1/2023.repl4nlp-1.7 바로가기 바로가기
Book chapter Environmental Impacts of Irrigation Understanding crop-water requirement is necessary for crop production. Irrigation has significantly impacted solving agricultural water shortages for increasing food and environmental demand. Due to the rapid growth of water demand from other non-agricultural sectors, treated wastewater has been used to supplement rainfall. Still, the cost of irrigation projects makes it an uncommon agricultural practice, especially in developing countries. In general, irrigation has caused some environmental impacts, which have raised concerns in some regions where irrigation is practiced. This chapter discusses the environmental impacts of irrigation, including soil degradation, erosion, sedimentation, channel configuration, soil physicochemical properties, air and water quality, general hydrology of the region of operation, biotic and available ecological community, as well as their resultant direct/indirect negative impacts to the human society. The chapter also suggests some sustainable ways and techniques, such as policymaking, engineering, and intervention of agronomic practices that can mitigate the adverse effects of irrigation on the environment. By adopting these interventions, we can produce more food at a lower cost, protect human health, and preserve the environment. © 2023 selection and editorial matter, Saeid Eslamian and Faezeh Eslamian; individual chapters, the contributors. Nwogwu, Nathaniel A.; Ajala, Oluwaseyi A.; Omotade, Ifeoluwa F.; Babalola, Toju E.; Ajibade, Temitope F.; Lasisi, Kayode H.; Adelodun, Bashir; Ajibade, Fidelis O. Department of Agricultural and Bioresources Engineering, Federal University of Technology, Imo State, Owerri, Nigeria, Department of Biosystems Engineering, Auburn University, Auburn, AL, United States; Department of Zoology and Environmental Sciences, Punjabi University, Punjabi, Patiala, India, Department of Chemistry, Faculty of Science, University of Ibadan, Oyo State, Ibadan, Nigeria; Department of Agricultural and Environmental Engineering, Federal University of Technology, Ondo State, Akure, Nigeria; Department of Water Resources Management and Agro-Meteorology, Federal University Oye-Ekiti, Ekiti State, Oye, Nigeria; University of Chinese Academy of Sciences, Beijing, China, Department of Civil and Environmental Engineering, Federal University of Technology, Ondo State, Akure, Nigeria, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China; University of Chinese Academy of Sciences, Beijing, China, Department of Civil and Environmental Engineering, Federal University of Technology, Ondo State, Akure, Nigeria, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China; Department of Agricultural and Biosystems Engineering, University of Ilorin, Kwara State, Ilorin, Nigeria, Department of Agricultural Civil Engineering, Kyungpook National University, Daegu, South Korea; University of Chinese Academy of Sciences, Beijing, China, Department of Civil and Environmental Engineering, Federal University of Technology, Ondo State, Akure, Nigeria, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China 57218171559; 57224524356; 57208409717; 57188927540; 57208594522; 57208598946; 57193774482; 57190341647 Handbook of Irrigation Hydrology and Management: Irrigation Fundamentals 0.91 2025-06-25 1 English Final 2023 10.1201/9780429290114-10 바로가기 바로가기
Book chapter Environmental Management and Sanitation: Perspectives on Waste The rapid upsurge of industrialization and increasing global population has led to the tremendous generation and indiscriminate disposal of waste without corresponding treatment and management plans. Moreover, the rise in global economic development and living standards of people especially in developed nations has greatly increased the quantity and complexity of generated waste and consequentially, promoting environmental pollution. This chapter outlined some fundamental and theoretical aspects of environmental management and sanitation. The earlier sections considered briefly the concept of waste, its generation, classification and types, and the available treatment and management technologies. Later in this chapter, some challenges facing these management technologies alongside some sustainable measures in ensuring adequate environmental sanitation were highlighted. Finally, possible ways of achieving sustainable development goals (SDGs) via proper environmental management and sustainable practices were put forward. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. Adeoye, Israel Adedayo; Lasisi, Kayode Hassan; Ajibade, Temitope Fausat; Okonofua, Ehizonomhen S.; Bagwai, Musbahu Abdullahi; Ajala, Oluwaseyi Aderemi; Adedamola Oluwafemi, A.O.; Adelodun, Bashir; Ajibade, Fidelis Odedishemi Department of Agricultural and Environmental Engineering, Federal University of Technology, Akure, Nigeria; Department of Civil and Environmental Engineering, Federal University of Technology, Akure, Nigeria, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China, University of Chinese Academy of Sciences, Beijing, China; Department of Civil and Environmental Engineering, Federal University of Technology, Akure, Nigeria, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China, University of Chinese Academy of Sciences, Beijing, China; Department of Geomatics, University of Benin, Benin City, Nigeria; Department of Life Sciences, School of Technology, Kanno State Polytechnic, Kano, Nigeria; Department of Chemistry, Faculty of Science University of Ibadan, Ibadan, Nigeria; Department of Civil Engineering, Yaba College of Technology, Yaba, Lagos, Nigeria; Department of Agricultural and Biosystems Engineering, University of Ilorin, Ilorin, Nigeria, Department of Agricultural Civil Engineering, Kyungpook National University, Daegu, South Korea; Department of Civil and Environmental Engineering, Federal University of Technology, Akure, Nigeria, University of Chinese Academy of Sciences, Beijing, China, Key Lab of Environmental Biotechnology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China 57993727400; 57208598946; 57208594522; 57217086940; 58492715900; 57224524356; 58491749500; 57193774482; 57190341647 foajibade@futa.edu.ng; The Route Towards Global Sustainability: Challenges and Management Practices 2.36 2025-06-25 2 Environmental management; Environmental sanitation; Sustainability; Sustainable development goals; Waste Management English Final 2023 10.1007/978-3-031-10437-4_20 바로가기 바로가기
Article Enzyme Kinetics and Molecular Docking Investigation of Acetylcholinesterase and Butyrylcholinesterase Inhibitors from the Marine Alga Ecklonia cava Ecklonia cava Kjellman (Laminareaceae) grows along the coast of Jeju Island, Korea, and is well-known in Korea for its use as a food ingredient, animal feed, and medicine. This seaweed contains phlorotannins, polymerized units of phloroglucinol, a term derived from phloroglucinol, the building block of these complex molecules, which is also the common name for these compounds. Phlorotannins are secondary metabolites that hold significance for human health due to their various beneficial properties, including antioxidant, anti-cancer, anti-allergy, and anti-HIV activities. In this study, 10 phlorotannins (1–10) were isolated from an 80% EtOH extract of E. cava. The structures of these compounds were determined through spectroscopic analysis and comparison with the literature. The inhibitory effects of compounds 1–10 on acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE) were investigated. In an AChE inhibition assay, compounds 1, 2, 4, and 6–10 had IC50 values ranging from 0.9 ± 0.8 to 66.5 ± 0.4 µM; compounds 4, 6, and 9 had potent BuChE inhibitory effects, with IC50 values ranging from 1.4 ± 3.8 to 25.2 ± 0.1 µM. Furthermore, enzyme kinetics and molecular docking simulations were conducted to gain insights into the inhibition mode, binding mechanism, and crucial interactions between these active compounds and the target enzyme. This indicates that E. cava is a potentially valuable natural source of AChE and BuChE inhibitors. © 2023, Korean Society of Pharmacognosy. All rights reserved. Park, Sae-Rom; Kim, Young Ho; Yang, Seo Young Department of Future Convergence Industry, Bio Health Industry Team, Sejong Technopark, Sejong, 30141, South Korea; College of Pharmacy, Chungnam National University, Daejeon, 34134, South Korea; Department of Biology Education, Kyungpook National University, Daegu, 41566, South Korea 57201061679; 57216573604; 57215036954 yhk@cnu.ac.kr;syy@knu.ac.kr; Natural Product Sciences 1226-3907 29 3 0.49 2025-06-25 3 AChE; BuChE; Ecklonia cava; Laminareaceae; phlorotannin algal extract; antineoplastic agent; antioxidant; butyrylcholinesterase inhibitor; cholinergic receptor stimulating agent; cholinesterase inhibitor; dieckol; dioxinodehydroeckol; eckol; food ingredient; phlorofucofuroeckol A; phloroglucinol; phlorotannin; tannin; triphlorethol A; unclassified drug; animal food; Article; chromatography; column chromatography; controlled study; Ecklonia cava; Electrophorus electricus; enzyme inhibition assay; enzyme kinetics; extraction; isolation; marine alga; molecular docking; nonhuman; nuclear magnetic resonance; seaweed; thin layer chromatography; ultraviolet spectrophotometry English Final 2023 10.20307/nps.2023.29.3.182 바로가기 바로가기
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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.
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Journal 논문이 게재된 학술지의 정식 명칭입니다.
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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.