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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 Efficient Optimal Path-Planning for Congestion Mitigation in Large-Scaled Autonomous Driving This paper reveals that there is a greedy characteristic in the pathfinding algorithm that finds the optimal route based on individual vehicles, and because of that characteristic, unexpected congestion can occur when several vehicles search for a route in their optimal way, resulting in a loss in the overall travel time. To solve this problem, we will modify the A* algorithm, a well-known algorithm in pathfinding. The heuristic function of A* is a function that determines the performance of the algorithm, and if information about other vehicles is included in this function, the greedy characteristic decreases. The resulting path may not be optimal for each vehicle. But overall, the path can be determined to mitigate congestion. Finally, we argue for an arbiter who collects information about other vehicles and assigns heuristics to each vehicle’s pathfinding algorithm. © 2024 IEEE. Jeon, Yeongwon; Park, Daejin School of Electronics Engineering, Kyungpook National University, Daegu, South Korea; School of Electronics Engineering, Kyungpook National University, Daegu, South Korea 59216411100; 55463943600 Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2642-3510 2024 0 2025-05-07 0 A* algorithm; Congestion; Multi-agent pathfinding Autonomous vehicles; Heuristic algorithms; Motion planning; Traffic congestion; A* algorithm; Autonomous driving; Congestion; Congestion mitigation; Multi agent; Multi-agent pathfinding; Optimal path planning; Optimal routes; Path finding; Path-finding algorithms; Travel time English Final 2024 10.1109/ispacs62486.2024.10868259 바로가기 바로가기
Article Empowering Library Services through User-Centric Analysis of Co-loan Patterns By examining loan data from public libraries in South Korea, we seek to understand patterns in user borrowing behaviors and explore thematic connections among borrowed books. The subject headings of 55.5 million book sets borrowed by individual users on the same day were analyzed using ITEM2VEC. We have identified 40 subject heading communities through cosine similarity of each subject vector, and we have labeled each community using a large language model. Two prominent communities were identified: Global Modern Literature and Novels and Children's Literature, Fairy Tales, and Folklore. The latter community was associated with a diverse array of subjects, indicating an expansion in children's reading preferences. The study results will be useful for improving collection development and the relevance of book recommendations, as well as for incorporating user information behavior into traditional library material classification schemes. Annual Meeting of the Association for Information Science & Technology | Oct. 25 – 29, 2024 | Calgary, AB, Canada. Kang, Woojin; Kim, Meen Chul; Lee, Jongwook Kyungpook National University, South Korea; Children's Hospital of Philadelphia, United States; Kyungpook National University, South Korea 58999140800; 59371335400; 54988756200 jongwook@knu.ac.kr; Proceedings of the Association for Information Science and Technology 2373-9231 61 1 0 2025-05-07 0 Co-loan pattern; Graph analysis; Loan data; Public library; Subject heading Co-loan pattern; Community IS; Cosine similarity; Graph analysis; Library services; Loan data; Public library; South Korea; Subject heading; User-centric English Final 2024 10.1002/pra2.1052 바로가기 바로가기
Proceedings Paper Enabling Quantum Computer Simulation under Minimal Precision Floating-Point using Irrational Value Decomposition Quantum computing holds immense promise for solving complex problems beyond the reach of classical computers. However, the realization of practical quantum computers faces significant challenges, including its inherent noise and error rates. To address these challenges and explore the capabilities of quantum computers, accurate and efficient quantum computer simulations are essential. This paper presents a novel quantum computer simulation framework designed to accommodate a wide range of custom reduced precision floating-point formats. Leveraging our proposed quantum computation algorithm, our framework enables the quantum computer simulations using exceptionally low precision floating-point numbers, while maintaining high accuracy levels. Through a systematic analysis, we explore the impact of floating-point precision on the accuracy of the quantum computer simulation, providing optimized bit-widths tailored for floating-point numbers. Particularly, using our proposed quantum computation algorithm, our framework achieves quantum state vector outcomes comparable to full-precision quantum simulations, even with extremely low precision floating-point formats ranging from 4 to 6 bits. Overall, these findings highlight the viability of precision reduction techniques in enhancing the efficiency of quantum computer simulations. Seo, Hyoju; Kim, Yongtae Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea Seo, Hyoju/GSD-8672-2022 57215662369; 55699627900 hyoju@knu.ac.kr;yongtae@knu.ac.kr; 2024 32ND INTERNATIONAL CONFERENCE ON MODELING, ANALYSIS AND SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS, MASCOTS 2024 1526-7539 0 2025-05-07 0 1 Quantum computing; quantum computer simulation; quantum circuit; low precision; floating-point; irrational value decomposition; normalization floating-point; irrational value decomposition; low precision; normalization; quantum circuit; quantum computer simulation; Quantum computing Computer circuits; Digital arithmetic; Quantum efficiency; Quantum electronics; Quantum optics; Floating points; Irrational value decomposition; Lower precision; Normalisation; Precision floating point; Quanta computers; Quantum circuit; Quantum computer simulation; Quantum Computing; Value decomposition; Quantum computers English 2024 2024 10.1109/mascots64422.2024.10786505 바로가기 바로가기 바로가기
Review Endophytic Fungi as Potential Bio-Control Agents of Soil-Borne Pathogen As possible biocontrol agents against soil-borne infections, root endophytic fungi, also known as fungal endophytes, have gained attention. Recently, it has been discovered that fungal endophytes and endophytic fungi found in plant roots are promising biocontrol agents for soil-borne diseases. These fungi can shield plants from the harm that root knots and rot pathogens can cause. They display characteristics crucial for long-term disease control in agriculture, such as the generation of systemic resistance, the production of antifungal metabolites, and the stimulation of plant development. This review examines the different types, underlying mechanisms, and relationships with plant pathogens. Using fungal endophytes as biocontrol agents in agricultural production systems requires standardized selection, application, and evaluation approaches. Fungal endophytes have shown promise as biocontrol agents for preventing the spread of soil-borne diseases, reducing the need for chemical pesticides, and increasing crop yields. Using root endophytic fungi and other fungal endophytes could improve pathogen management and the viability of food production. Supporting ecologically friendly methods and accelerating sustainable agriculture can be accomplished with the use of these helpful fungi. However, further study is required to explore root entophytic fungi and fungal endophytes that can dramatically improve disease management practices and provide more eco-friendly and sustainable agriculture. Muhammad, Murad; Basit, Abdul; Ali, Kashif; Li, Wen-Jun; Li, Li; Mohamed, Heba I. Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Key Lab Ecol Safety & Sustainable Dev Arid Lands, Urumqi 830011, Peoples R China; Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Xinjiang Key Lab Biodivers Conservat & Applicat Ar, Urumqi 830011, Peoples R China; Univ Chinese Acad Sci, Beijing 100049, Peoples R China; Kyungpook Natl Univ, Dept Hort Sci, Daegu 41566, South Korea; Sun Yat Sen Univ, Sch Life Sci, State Key Lab Biocontrol, Guangdong Prov Key Lab Plant Resources & Southern, Guangzhou 510275, Peoples R China; Ain Shams Univ, Fac Educ, Biol & Geol Sci Dept, Cairo 11341, Egypt ; MUHAMMAD, MURAD/KLZ-2989-2024; li, wenjun/GSE-5770-2022; Basit, Abdul/AAX-2414-2021; mohamed, heba/U-8673-2019 57223331609; 58696991300; 59848079800; 59968447300; 56147636300; 37102371200 hebaibrahim79@gmail.com; JOURNAL OF CROP HEALTH J CROP HEALTH 2948-264X 2948-2658 76 3 SCIE AGRONOMY 2024 N/A 2.48 2025-05-07 8 11 Bio-control; Fungal endophytes; Soil; Plant disease DARK SEPTATE ENDOPHYTES; PLANT-GROWTH; IN-VITRO; PURPUREOCILLIUM-LILACINUM; PSEUDOMONAS-FLUORESCENS; TRICHODERMA-HARZIANUM; SECONDARY METABOLITES; POWDERY MILDEW; RESISTANCE; BIOCONTROL Bio-control; Fungal endophytes; Plant disease; Soil disease control; endophyte; fungus; host-pathogen interaction; potential biocontrol agent; soil fauna English 2024 2024-06 10.1007/s10343-024-00975-z 바로가기 바로가기 바로가기 바로가기
Correction Endophytic Fungi as Potential Bio-Control Agents of Soil-Borne Pathogen (Mar, 10.1007/s10343-024-00975-z, 2024) Muhammad, Murad; Basit, Abdul; Ali, Kashif; Li, Wen-Jun; Li, Li; Mohamed, Heba I. Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Key Lab Ecol Safety & Sustainable Dev Arid Lands, Urumqi 830011, Peoples R China; Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Xinjiang Key Lab Biodivers Conservat & Applicat Ar, Urumqi 830011, Peoples R China; Univ Chinese Acad Sci, Beijing 100049, Peoples R China; Kyungpook Natl Univ, Dept Hort Sci, Daegu 41566, South Korea; Univ Peshawar, Peshawar, Pakistan; Sun Yat Sen Univ, Sch Life Sci, State Key Lab Biocontrol,Guangdong Lab Zhuhai, Guangdong Prov Key Lab Plant Resources & Southern, Guangzhou 510275, Peoples R China; Ain Shams Univ, Fac Educ, Biol & Geol Sci Dept, Cairo 11341, Egypt ; MUHAMMAD, MURAD/KLZ-2989-2024; Basit, Abdul/AAX-2414-2021; li, wenjun/GSE-5770-2022; mohamed, heba/U-8673-2019 57223331609; 58696991300; 59848079800; 59968447300; 56147636300; 37102371200 hebaibrahim79@gmail.com; JOURNAL OF CROP HEALTH J CROP HEALTH 2948-264X 2948-2658 76 3 SCIE AGRONOMY 2024 N/A 0 2025-05-07 0 0 English 2024 2024-06 10.1007/s10343-024-00988-8 바로가기 바로가기 바로가기 바로가기
Article Energy-Efficient Ternary Modulator for Wireless Sensor Networks The importance of Wireless Sensor Networks is becoming more evident owing to their practical applications in various areas. However, the energy problem remains a critical barrier to the progress of WSNs. By reducing the energy consumed by the sensor nodes that constitute WSNs, the performance and lifespan of WSNs will be enhanced. In this study, we introduce an energy-efficient ternary modulator that employs multi-threshold CMOS for logic conversion. We optimized the design with a low-power ternary gate structure based on a pass transistor using the MTCMOS process. Our design uses 71.69% fewer transistors compared to the previous design. To demonstrate the improvements in our design, we conducted the HSPICE simulation using a CMOS 180 nm process with a 1.8V supply voltage. The simulation results show that the proposed ternary modulator is more energy-efficient than the previous modulator. Power-delay product, a benchmark for energy efficiency, is reduced by 97.19%. Furthermore, corner simulations demonstrate that our modulator is stable against PVT variations. © 2024, J. Sens. Sci. Technol. All rights reserved. Baek, Seunghan; Son, Seunghyun; Kim, Sunmean Department of Electrical Engineering, Pohang University of Science and Technology, 77 Cheongamro, Namgu, Gyeongbuk, Pohang, 37673, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 41566, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 41566, South Korea 57221958934; 59311370200; 57193135112 sunmean@knu.ac.kr; Journal of Sensor Science and Technology 1225-5475 33 3 0 2025-05-07 0 Energy-efficient; Modulator; MTCMOS; MVL; PSK; Ternary; WSNs English Final 2024 10.46670/jsst.2024.33.3.147 바로가기 바로가기
Proceedings Paper Engineering Strategies in HfOx RRAM-Based Analog Synapses Toward Linear Weight Update for Neuromorphic Hardware Accelerators This study introduces two distinct engineering approaches for HfOx-based resistive memories (RRAMs) that can be implemented in various manners for neuromorphic hardware platforms. For highly dense cross-point synaptic arrays, we show that a gradual weight update can be achieved even in selector-free RRAM by integrating a thin Al2O3 nonlinear barrier. Meanwhile, in configurations that use conventional transistors as selectors, the weight update as quick as possible plays an important role in accelerating training process. We thus reveal that the abundant oxygen vacancies in sputtered HfOx enables nanosecond weight modulation driven by identical pulses. Kim, Yunsur; Choi, Hyeonsik; Woo, Jiyong Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea 58847712800; 58835686900; 53985749100 jiyong.woo@knu.ac.kr; 2024 IEEE SILICON NANOELECTRONICS WORKSHOP, SNW 2024 2161-4636 0 2025-05-07 0 0 Image processing; Phase locked loops; Analog synapse; Conventional transistors; Cross point; Hardware accelerators; Hardware platform; Highly dense; Neuromorphic hardwares; Resistive memory; Training process; Weight update; RRAM English 2024 2024 10.1109/snw63608.2024.10639252 바로가기 바로가기 바로가기
Conference paper Enhanced Current-limiting Method for Grid-forming Converters based on Virtual Admittance Matrix To achieve reliable integration of grid-forming (GFM) converters into the grid, it is crucial to address their lack of overcurrent capability compared to synchronous generators. However, existing current limiting methods struggle to suppress transient overcurrent immediately after a grid disturbance while maintaining the voltage source operation of the GFM converter. This paper proposes an enhanced current limiting strategy that calculates the current reference using a virtual admittance matrix. The matrix-based approach can suppress the natural response of the inductor to consistently provide a steady-state current reference value. As a result, the GFM converter can effectively limit overcurrent during both transient and steady-state time scales while maintaining its natural grid service provision ability. The validity of the proposed method is demonstrated through experimental results. ©2024 IEEE. Maeng, Junyeol; Jung, Jae-Jung; Cui, Shenghui Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea; Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea 58931398300; 55368433400; 56157479900 junyul7@snu.ac.kr; 2024 9th IEEE Workshop on the Electronic Grid, eGRID 2024 0 2025-05-07 0 Current-limiting control; Fault Ride-through; Grid-forming (GFM) converter DC-DC converters; Matrix converters; Resonant converters; Synchronous generators; Admittance matrices; Current limiting; Current limiting controls; Current reference; Fault ride-through; Grid disturbance; Grid-forming converter; Limiting method; Overcurrents; Virtual admittances; Voltage-source converters English Final 2024 10.1109/egrid62045.2024.10842930 바로가기 바로가기
Proceedings Paper Enhanced Drug Delivery via Localization-Enabled Relaying in Molecular Communication Nanonetworks Intra-body nanonetworks hold promise for advancing targeted drug delivery (TDD) systems through molecular communications (MC). In the baseline MC-TDD system, drug-loaded nanomachines (DgNs) are positioned near the infected tissues to deliver drug molecules directly. To mitigate the decline in drug delivery efficiency caused by diffusion, we propose an enhanced MC-TDD system with a relay network. This network employs a novel localization-enabled relaying mechanism, where a nano-controller broadcasts a localization signal. DgNs then measure the received signal strength against thresholds to determine their clusters relative to the infected tissue. Additionally, our study considers the effect of multiple absorbing DgNs on the channel impulse response (CIR), a factor overlooked in previous works. Our approach improves drug delivery efficiency by 17% compared to the baseline system. Importantly, we find that optimizing CIR is crucial for enhancing drug delivery efficiency. These findings pave the way for further research into optimizing CIR-based relay selection, as well as investigating the impact of factors such as drug molecule lifespan, obstruction probabilities, and flow dynamics. Shitiri, Ethungshan; Yadav, Akarsh; Abadal, Sergi; Alarcon, Eduard; Cho, Ho-Shin Univ Politecn Cataluna, Barcelona, Spain; Purdue Univ, W Lafayette, IN 47907 USA; Kyungpook Natl Univ, Daegu, South Korea ; Shitiri, Ph.D., Ethungshan/Z-5918-2019; Alarcón, Eduard/AAH-7555-2021; Abadal, Sergi/L-6004-2014 57190818428; 58122431700; 37664375400; 7006058423; 35316924900 PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON NANOSCALE COMPUTING AND COMMUNICATION, NANOCOM 2024 0 2025-05-07 0 0 intra-body; molecular communication; nanonetworks; relay; targeted drug delivery; localization TIME intra-body; localization; molecular communication; nanonetworks; relay; targeted drug delivery Controlled drug delivery; Nanoclay; Channel impulse response; Drug molecules; Intra-body; Localisation; Molecular communication; Nano-networks; Nanomachines; Relay; Relay network; Targeted drug delivery systems; Targeted drug delivery English 2024 2024 10.1145/3686015.3689347 바로가기 바로가기 바로가기
Article Enhanced Multi-trilateration Method to Mitigate Shadow Fading for ROA-based Indoor Sensor Localization Sensor localization is difficult in indoor environments because of the multipath fading and shadow fading caused by obstacles [1]. Multipath fading and shadow fading cause large localization errors that make the sensor node fail in the sensor localization process. This paper highlights the indoor sensor localization concept and proposes a ROA (Received signal strength Of Arrival)-based sensor localization scheme. The proposed scheme called RERR (Range Expansion and Range Reduction) can mitigate the above-mentioned problems for indoor environments. The RERR-based sensor nodes virtually expand or reduce the measured range to succeed in localization regardless of the effects of multipath fading and shadow fading over communicating sensor nodes. The simulation results verified the effectiveness of the proposed scheme, showing small RMS errors and a large number of sensor nodes succeeding in the localization process. © 2024 Institute of Electronics Engineers of Korea. All rights reserved. Seo, Kyunghee; Baek, Hoki School of Computer Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Computer Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea 58934320900; 35112685500 neloyou@knu.ac.kr; IEIE Transactions on Smart Processing and Computing 2287-5255 13 1 0 2025-04-16 0 Indoor; Localization; Multi-trilateration; Sensor; Shadow fading Indoor positioning systems; Multipath fading; Surveying; Indoor; Indoor environment; Indoor sensors; Localisation; Multi-trilateration; Range expansion; Range reduction; Sensor localization; Shadow fading; Trilateration; Sensor nodes English Final 2024 10.5573/ieiespc.2024.13.1.96 바로가기 바로가기
Article Enhanced simazine degradation via peroxymonosulfate activation using hemin-doped rice husk biochar as a novel Fe/N–C catalyst The presence of herbicides, including simazine (SIM), in aquatic environments pose significant threats to these ecosystems, necessitating a method for their removal. In this study, a hemin-doped rice husk-derived biochar (RBC@Hemin20%) was synthesized using a simple, one-step pyrolysis, and its degradation efficiency towards SIM via peroxymonosulfate (PMS) was assessed. Under optimized conditions (hemin loading = 20 wt%, SIM = 0.5 ppm, RBC@Hemin20% catalyst = 0.2 g L−1, PMS = 2.0 mM, and pH = 5.84 [unadjusted]), RBC@Hemin20%, as an Fe/N–C catalyst, could activate PMS to achieve >99% degradation of SIM. Based on radical scavenger and electron spin resonance spectroscopy (ESR) experiments, both radical (•OH and SO4•−) and non-radical (such as singlet oxygen, 1O2) mechanisms and electron transfer were involved in the degradation system. Significant mineralization (97.3%) and reusability efficiency (∼74.1% SIM degradation after 4 applications) were exhibited by the RBC@Hemin20%/PMS system, which also maintained a remarkable degradation efficiency in tap-, river-, and ground-water. Additionally, the RBC@Hemin20%/PMS system exhibited rapid degradation of tetracycline (TC) and diclofenac (DCF), indicating its prospects in the degradation of other organic pollutants of aquatic environments. The plausible degradation mechanism pathways of SIM are proposed based on identified intermediates. Finally, the toxicity of these intermediate products is analysed using the Ecological Structure Activity Relationship (ECOSAR) software. It is expected that this study will expand the current knowledge on the synthesis of efficient biomass-based Fe/N–C composites for the removal of organic pollutants in water. © 2024 Elsevier Ltd Aryee, Aaron Albert; Masud, Md Abdullah Al; Shin, Won Sik Department of Chemistry, College of Basic and Applied Sciences, University of Ghana, Legon, Ghana, School of Architecture, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu, 41566, South Korea; Department of Civil, Construction, and Environmental Engineering, University of Alabama, Tuscaloosa, 35487, AL, United States, School of Architecture, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Architecture, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu, 41566, South Korea 57208484034; 57542255300; 23019870800 wshin@knu.ac.kr; Chemosphere 0045-6535 366 0.75 2025-05-07 2 Hemin; Peroxymonosulfate; Reactive oxygen species; Rice husk biochar; Simazine Carbon; Catalysis; Charcoal; Hemin; Herbicides; Iron; Oryza; Peroxides; Water Pollutants, Chemical; Atomic emission spectroscopy; Cleaner production; Computer software reusability; Reactive oxygen species; Reusability; River pollution; diclofenac; ferrous ion; hemin; herbicide; iron; reactive oxygen metabolite; scavenger (compound); simazine; singlet oxygen; tetracycline; carbon; charcoal; herbicide; peroxide; peroxymonosulfate; Aquatic environments; Degradation efficiency; Hemin; Organics; Peroxymonosulfate; Peroxymonosulfate activations; Reactive oxygen species; Rice husk biochar; Simazine; ]+ catalyst; biochar; concentration (composition); crop residue; drug; herbicide; pollutant removal; reactive oxygen species; salt; Article; biomass; catalyst; controlled study; degradation; electron spin resonance; electron transport; mineralization; nonhuman; pH; pyrolysis; rice husk; river; software; structure activity relation; synthesis; catalysis; chemistry; Oryza; water pollutant; Electron spin resonance spectroscopy English Final 2024 10.1016/j.chemosphere.2024.143549 바로가기 바로가기
Conference paper Enhanced Small Target Recognition with Lightweight YOLOv5 in Low-Res Images The improvement of deep learning algorithms for small object detection in low-resolution images remains a significant challenge. Time-of-Flight (TOF) sensors can replace cameras for indoor use, offering privacy protection but facing limitations in accurately detecting small objects. This paper proposes an algorithm that combines Adaptive Histogram Equalization (AHE) and Contrast Limited Adaptive Histogram Equalizer (CLAHE) for image enhancement, further optimizing the Infrared (IR) images and depth maps collected by TOF sensors. Simultaneously, using the enhanced IR images and fused depth maps data based on the improved lightweight YOLOv5n algorithm, the performance of the proposed algorithm is validated. Experimental results demonstrate that the novel algorithm outperforms existing methods, with average precision scores of 98.4% and 72.1%, respectively. © 2024 IEEE. Wang, Jingjing; Wang, Hucheng; Wu, Aming Signify N.V., Research China, Shanghai, China; Beijing Institute of Technology, Beijing, China; Kyungpook National University, Daegu, South Korea 57202161515; 57204791482; 58262125900 lisa.wang@signify.com; 2024 16th International Conference on Advanced Computational Intelligence, ICACI 2024 0 2025-04-16 0 Algorithm optimization; Data Augmentation; Low-Resolution Recognition; Small Object Detection Deep learning; Graphic methods; Image enhancement; Infrared imaging; Object detection; Object recognition; Adaptive histograms; Algorithms optimizations; Data augmentation; Depthmap; Low-resolution recognition; Lower resolution; Small object detection; Small targets; Target recognition; Time-of-flight sensor; Equalizers English Final 2024 10.1109/icaci60820.2024.10537011 바로가기 바로가기
Conference paper Enhancement Methods for Transient Stability of Grid-Forming Converters with Low Damping As the proportion of renewable energy sources in power systems increases, grid-forming (GFM) converters, which mimic the mechanism of synchronous generators, are gaining attention. As power electronic converters play a crucial role in power systems, GFM technology becomes increasingly essential. Although GFM converters provide advantages such as synchronization through power and offering inertia like synchronous generators, they suffer from drawbacks such as classical stability issues including synchronization stability. Moreover, unlike synchronous generators, they are highly vulnerable to overcurrent due to being composed of semiconductor components. Current limiters are essential for protecting semiconductor components from overcurrent, but they adversely affect transient stability. In this paper, the analysis of GFM converters with the introduction of virtual synchronous generator (VSG) control and circular current limiter is conducted. It is known that controlling to reduce active power references prevents wind-up in the outer power control loop when the current limiter operates. It is analyzed that this control not only prevents wind-up but also improves transient stability. Lastly, methods to enhance synchronization stability after grid fault without reducing inertia to zero in low-damping GFM converters are discussed. © 2024 IEEE. Kim, Seongyeon; Kim, Ki-Hyun; Cui, Shenghui; Jung, Jae-Jung Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Seoul National University, Department of Electrical & Computer Engineering, Seoul, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea 59469608100; 59194094800; 56157479900; 55368433400 jarrymark@knu.ac.kr; ECCE Europe 2024 - Energy Conversion Congress and Expo Europe, Proceedings 0 2025-05-07 0 Current limiter; equal area criterion (EAC); grid-forming (GFM) converter; Lyapunov method; synchronization; transient stability; wind-up Electromagnetic transients; Lyapunov methods; Synchronous generators; Windmill; 'current; Equal area criteria; Equal-area criterion; Grid-forming converter; Lyapunov's methods; Overcurrents; Power; Semiconductor components; Synchronization stability; Wind-up; Transient stability English Final 2024 10.1109/ecceeurope62508.2024.10751947 바로가기 바로가기
Conference paper Enhancement of Mechanical Properties of Rolled AZ31 Alloy by Utilizing Ultrasonic Nano-crystalline Surface Modification (UNSM) Treatment and Heat Treatment Mg alloysMagnesium alloys (Mg alloys) have great potential as lightweight structural materials due to their low density, but their application is limited due to lower mechanical propertiesMechanical Properties compared to other lightweight alloys. The Ultrasonic Nano-crystalline Surface ModificationUltrasonic Nano-Crystalline Surface Modification (UNSM) (UNSM) technique, which induces severe plastic deformationPlastic deformation on the material surface using ultrasonic impacts, can result in a gradient microstructureGradient microstructure with a refined surface consisting of nano-sized grains, and an intermediate microstructure with residual strain, ultimately enhancing mechanical properties. While the nano-crystalline surface contributes to improved strength and ductility, the residual strain in the intermediate microstructureMicrostructure brings about a significant reduction in ductility. However, the residual strain can be beneficial for both strength and ductility through recovery and recrystallizationRecrystallization, achieved through an appropriate annealing treatment. In this study, we applied the UNSMUltrasonic Nano-Crystalline Surface Modification (UNSM)-treatment, followed by subsequent annealing at 200 °C, to a homogenized rolled AZ31 alloyAZ31 alloy to simultaneously improve strength and ductility by generating a gradient microstructureGradient microstructure. © The Minerals, Metals & Materials Society 2024. Kim, Hyun Ji; Jo, Sumi; Amanov, Auezhan; Park, Sung Hyuk School of Materials Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Materials Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea; Department of Mechanical Engineering, Sun Moon University, Asan, 31460, South Korea; School of Materials Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea 59866513600; 56865369700; 36447543900; 54786002500 sh.park@knu.ac.kr; Minerals, Metals and Materials Series 2367-1181 0 2025-04-16 0 AZ31 alloy; Gradient microstructure; Heat treatment; Ultrasonic Nano-crystalline Surface Modification (UNSM) Density (specific gravity); Ductility; Heat treatment; Magnesium alloys; Strain; Ultrasonic applications; AZ31 alloy; Crystalline surfaces; Gradient microstructure; Mg alloy; Modification treatment; Nanocrystallines; Residual strains; Strength and ductilities; Surface-modification; Ultrasonic nano-crystalline surface modification; Microstructure English Final 2024 10.1007/978-3-031-50240-8_24 바로가기 바로가기
Proceedings Paper Enhancing Few-Shot Video Anomaly Detection with Key-Frame Selection and Relational Cross Transformers Detecting illegal activities using video anomaly detection is an enormous challenge in security and surveillance. The lack of labeled instances for anomalous actions poses a significant obstacle to existing learning techniques, and determining the optimal data representation that captures the essential features and patterns vital for detecting anomalies proves to be exceedingly difficult. We have developed a few-shot video anomaly detection method, FewVAD, which employs a key-frame selection module and spatial-temporal relational modeling to extract pertinent features and reduce temporal redundancy from lengthy surveillance recordings. We have evaluated our method on two popular surveillance datasets, UCF-Crime and XD-Violence, and compared its performance against established few-shot models and other unsupervised and weakly supervised learning video anomaly detection models. Our model has attained an accuracy of 41.7% and 54.3% for 5-way 5-shot few-shot configuration on the UCF-Crime and XD-Violence datasets, respectively. Furthermore, it has obtained an AUC score of 86.60% for the 2-way anomaly detection task on the UCF-Crime dataset. FewVAD achieves a milestone in few-shot video anomaly detection, competing strongly with current weakly-supervised and unsupervised VAD methods. Fakhry, Ahmed; Lee, Jong Taek Kyungpook Natl Univ, Daegu, South Korea Emad El-Din, Ahmed/KSL-9541-2024 59026744800; 24341317500 ahmedfakhry@knu.ac.kr;jongtaeklee@knu.ac.kr; 2024 IEEE INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE, AVSS 2024 2643-6205 0 2025-05-07 0 2 Crime; Supervised learning; Zero-shot learning; Anomaly detection; Anomaly detection methods; Data representations; Essential features; Essential patterns; Illegal activities; Key frame selection; Learning techniques; Optimal data; Security and surveillances; Video analysis English 2024 2024 10.1109/avss61716.2024.10672618 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.