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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 Benchmarking Real-World Many-Objective Problems: A Problem Suite With Baseline Results In recent decades, multi-objective evolutionary algorithms (MOEAs) have been evaluated on artificial test problems with unrealistic characteristics, leading to uncertain conclusions about their efficacy in real-world applications. To address this issue, a few benchmark test suites comprising real-world problems have been proposed for MOEAs, encompassing numerous multi-objective problems and a select few many-objective problems. Given the distinct challenges posed by many-objective optimization problems (MaOPs) and their inherent difficulty, developing a test suite that includes real-world problems with many conflicting objectives is crucial. Hence, in this paper, we propose a comprehensive test suite for benchmarking the many-objective real-world complex problems. This test suite consists of 11 problems collected from different disciplines of engineering. Furthermore, we comprehensively analyzed the problems in our newly proposed test suite, employing eight state-of-the-art algorithms rooted in various fundamental principles specifically designed to address MaOPs. The experimental findings highlight the strong performance of indicator-based, weight-vector-based decomposition, Pareto-dominance-based, and hybrid MOEAs on the proposed test suite. In contrast, reference-vector-based decomposition approaches, Pareto front shape estimation-based methods, and multi-evolution approaches exhibit relatively weaker performance. Palakonda, Vikas; Kang, Jae-Mo; Jung, Heechul Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea 57193028485; 56024930400; 55652175200 jmkang@knu.ac.kr;heechul@knu.ac.kr; IEEE ACCESS IEEE ACCESS 2169-3536 12 SCIE ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS;COMPUTER SCIENCE, INFORMATION SYSTEMS 2024 3.6 34.8 3 2025-04-16 8 8 Optimization; Automobiles; Surface roughness; Rough surfaces; Object recognition; Complexity theory; Benchmark testing; Evolutionary computation; Multi-objective optimization; many-objective optimization; real-world problems; test suite NONDOMINATED SORTING APPROACH; EVOLUTIONARY ALGORITHM; DESIGN OPTIMIZATION; FRONT many-objective optimization; Multi-objective optimization; real-world problems; test suite Benchmarking; Evolutionary algorithms; Multiobjective optimization; Object recognition; Benchmark testing; Complexity theory; Many-objective optimizations; Multi-objectives optimization; Objects recognition; Optimisations; Real-world; Real-world problem; Rough surfaces; Test suite; Surface roughness English 2024 2024 10.1109/access.2024.3383916 바로가기 바로가기 바로가기 바로가기
Article Clustering-Aided Grid-Based One-to-One Selection-Driven Evolutionary Algorithm for Multi/Many-Objective Optimization Multiobjective evolutionary algorithms are highly effective in solving multiobjective optimization problems (MOPs). The selection strategy, involving mating and environmental selection, is crucial in shaping these algorithms. However, when applied to many-objective optimization (MaOPs) with more than three objectives, existing methods face challenges due to reduced selection pressure and issues in maintaining diversity, making them less efficient. To address these challenges, we present a novel approach in this paper: the clustering-aided grid-based one-to-one selection-driven evolutionary algorithm (ClGrMOEA), designed to handle both MOPs and MaOPs effectively. The proposed ClGrMOEA introduces a hybrid approach that combines clustering-based mating selection with grid-based one-to-one environmental selection to balance convergence and diversity in MOPs and MaOPs. The mating selection employs K-means clustering to partition the objective space and utilizes a convergence indicator based on Euclidean distance to select promising solutions for offspring generation. The environmental selection combines Pareto dominance with grid-based one-to-one selection, using grid coordinate point distance to select promising solutions. An external archive based on Pareto dominance and crowding distance preserves elite individuals. Extensive experiments are conducted on 19 benchmark problems and 16 real-world problems to validate the superior performance of ClGrMOEA compared to seven state-of-the-art algorithms. The experimental results demonstrate that ClGrMOEA significantly outperforms these benchmark algorithms. Palakonda, Vikas; Kang, Jae-Mo; Jung, Heechul Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea 57193028485; 56024930400; 55652175200 heechul@knu.ac.kr; IEEE ACCESS IEEE ACCESS 2169-3536 12 SCIE ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS;COMPUTER SCIENCE, INFORMATION SYSTEMS 2024 3.6 34.8 0.43 2025-04-16 6 7 Optimization; Statistics; Sociology; Convergence; Clustering algorithms; Evolutionary computation; Benchmark testing; Optimization methods; Nearest neighbor methods; diversity; multi-objective optimization; many-objective optimization; K-means clustering; grid settings DECOMPOSITION; CONVERGENCE; DIVERSITY; MOEA/D Convergence; diversity; grid settings; K-means clustering; many-objective optimization; multi-objective optimization Benchmarking; Clustering algorithms; Multiobjective optimization; Problem solving; Clusterings; Convergence; Diversity; Grid setting; Grid-based; K-means++ clustering; Many-objective optimizations; Multi-objectives optimization; Optimisations; Evolutionary algorithms English 2024 2024 10.1109/access.2024.3398415 바로가기 바로가기 바로가기 바로가기
Article Comparative Analysis of Sub-Synchronous Oscillations With Various Grid-Forming Control Schemes Under Series-Compensated Line This paper presents a comparative study of various grid-forming control strategies under different series compensation levels to suggest the optimal control scheme for compensated lines. Series compensation is a technique used to insert a fixed capacitor in transmission line to maximize its power-transfer capacity and enhance the stability of the power system, however it may result in sub-synchronous oscillations issues. Virtual oscillator control and matching control schemes are recently proposed grid forming control strategies to ensure the power-sharing and synchronization capability of inverters under parallel operation. The mentioned schemes are designed for grid-forming control of inverter-based resources, with keeping traditionally used droop control as a benchmark for comparison. The IEEE first-benchmarked test model is modified by inserting series capacitance and energizing it with 1000MW grid forming inverter-based source in MATLAB/ Simulink. Distinct grid forming schemes, namely droop, matching, and dispatchable virtual oscillator control are implemented and critically analyzed for sub-synchronous oscillations under the same specifications as the test model. The simulation response of subsynchronous oscillations are investigated in time domain, frequency domain, and by calculating performance indices to verify the results in every aspect. The overall analysis justifies the damped, low transient overshoot and fast settling of sub-synchronous oscillations with the virtual oscillator control scheme at various compensation levels. Islam, Saif Ul; Kim, Soobae Kyungpook Natl Univ, Sch Elect & Elect Engn, Dept Elect Engn, Daegu 41566, South Korea 59083068700; 55377374400 soobae.kim@knu.ac.kr; IEEE ACCESS IEEE ACCESS 2169-3536 12 SCIE ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS;COMPUTER SCIENCE, INFORMATION SYSTEMS 2024 3.6 34.8 0.39 2025-05-07 2 2 Grid forming; Oscillators; Mathematical models; Voltage control; Power system stability; Voltage measurement; Power transmission lines; Renewable energy sources; Converters; Synchronous machines; Renewable energy resources; converter-based plant; grid-forming control schemes; series compensation; optimization; sub-synchronous oscillations DAMPING CONTROLLER; DYNAMICS; STABILITY; NETWORK converter-based plant; grid-forming control schemes; optimization; Renewable energy resources; series compensation; sub-synchronous oscillations Benchmarking; Bode diagrams; Circuit oscillations; Electric power system stability; Geophysical prospecting; Linearization; Numerical methods; Optimization; Power transmission lines; Surface waters; Time domain analysis; Control schemes; Converter-based plant; Grid forming; Grid-forming control scheme; Optimisations; Power systems stability; Power transmission lines; Renewable energies; Series compensation; Subsynchronous oscillations; Renewable energy English 2024 2024 10.1109/access.2024.3444889 바로가기 바로가기 바로가기 바로가기
Article CVGG-19: Customized Visual Geometry Group Deep Learning Architecture for Facial Emotion Recognition Facial emotion recognition (FER) detects a user's facial expression with the camera sensors and behaves according to the user's emotions. The FER can apply to entertainment, security, and traffic safety. The FER system requires a highly accurate and efficient algorithm to classify the driver's emotions. The-state-of-art architectures for FER, such as visual geometry group (VGG), Inception-V1, ResNet, and Xception, have some level of performance for classification. Nevertheless, the original VGG architectures suffer from the vanishing gradient, limited improvement performance, and expensive computational cost. In this paper, we propose the customized visual geometry group-19 (CVGG-19), which adopts the designs of the VGG, Inception-v1, ResNet, and Xception. Our proposed CVGG-19 architecture outperforms the conventional VGG-19 architecture by 59.29%, reducing the computational cost by 89.5%. Moreover, the CVGG-19 architecture's F1-score, which represents the real-time classifying performance, displays superior to the Inception-V1, ResNet50, and Xception architectures by 3.86% on average Kim, Jung Hwan; Poulose, Alwin; Han, Dong Seog Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Indian Inst Sci Educ & Res Thiruvananthapuram IISE, Sch Data Sci, Thiruvananthapuram 695551, Kerala, India Han, Dong Seog/N-8949-2018; , ALWIN POULOSE/S-4914-2018; POULOSE, ALWIN/S-4914-2018 57222321332; 57205504085; 7403219442 dshan@knu.ac.kr; IEEE ACCESS IEEE ACCESS 2169-3536 12 SCIE ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS;COMPUTER SCIENCE, INFORMATION SYSTEMS 2024 3.6 34.8 5.15 2025-04-16 13 17 Categorical-cross entropy classification; deep learning; facial emotion recognition; ResNet; VGG; VGG module; Xception Categorical-cross entropy classification; deep learning; facial emotion recognition; ResNet; VGG; VGG module; Xception Computational efficiency; Computer architecture; Convolution; Deep learning; Face recognition; Geometry; Network architecture; Neural networks; Speech recognition; Categorical-cross entropy classification; Cross entropy; Deep learning; Emotion recognition; Facial emotion recognition; Facial emotions; Group modules; Neural-networks; Resnet; Visual geometry group; Visual geometry group module; Xception; Emotion Recognition English 2024 2024 10.1109/access.2024.3377235 바로가기 바로가기 바로가기 바로가기
Article Design Technology Co-Optimization and Time-Efficient Verification for Enhanced Pin Accessibility in the Post-3-nm Node As the technology nodes approach 3 nm and beyond, nanosheet FETs (NSFETs) are replacing FinFETs. However, despite the migration of devices from FinFETs to NSFETs, few studies report the impact of NSFETs in the digital VLSI's perspective. In this paper, we present a study of how the latest device technology, back end of line (BEOL), and the designs of NSFETs aid each other for enhanced pin accessibility in layout and standard cell library design for less routing congestion and low power consumption. For this objective, 1) we discuss five layout design methodologies that are co-optimized with device technology to tackle the pin accessibility issues that arise in standard cell designs in extremely-low routing resource environments (e.g., 4 Signal Tracks), 2) we introduce pin accessibility analysis procedures before chip P&R, and 3) we report how local trench contact (LTC) helps in reducing cell tracks for 5 track cells and less. Using our methodology, we improve design metrics such as power consumption, total area, and wirelength by 11.0%, 13.2%, and 16.0%, respectively in full-chip scale designs. By our study, we expect the routing congestion issues that additionally occur in advanced technology nodes to be handled and better full-chip designs to be done in 3 nm and beyond. © 2013 IEEE. Jeong, Jaehoon; Shin, Yunjeong; Lee, Hyundong; Ko, Jonghyun; Kim, Jongbeom; Song, Taigon Foundry Design Service Team, Samsung Electronics, Gyeonggi-do, 18448, South Korea; Kyungpook National University (KNU), School of Electronic and Electrical Engineering, Daegu, 41566, South Korea; Kyungpook National University (KNU), School of Electronic and Electrical Engineering, Daegu, 41566, South Korea; Kyungpook National University (KNU), School of Electronic and Electrical Engineering, Daegu, 41566, South Korea; Kyungpook National University (KNU), School of Electronic and Electrical Engineering, Daegu, 41566, South Korea; Kyungpook National University (KNU), School of Electronic and Electrical Engineering, Daegu, 41566, South Korea 57226881576; 58882495300; 57226892881; 59809554200; 57782068500; 36005021000 tsong@knu.ac.kr; IEEE Access IEEE ACCESS 2169-3536 2169-3536 12 SCIE ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS;COMPUTER SCIENCE, INFORMATION SYSTEMS 2024 3.6 34.8 0 2025-05-07 0 library; nanosheet; NSFET; pin optimization; standard cell layout Digital devices; Electric power utilization; FinFET; Integrated circuit layout; Cell layout; Device technologies; FinFETs; Nanosheet FET; Optimisations; Pin optimization; Routing congestion; Standard cell layout; Standard-cell; Technology nodes; Nanosheets English Final 2024 10.1109/access.2024.3427332 바로가기 바로가기 바로가기
Article Development of a Framework-Independent Code Generator From State Machine Diagrams State machine diagrams offer the advantage of expressing the system clearly and easily to understand because they express the operation of the system in highly readable graphics. In addition, codes can be automatically generated from models created using modeling tools, contributing to the development of high-quality software. Despite these benefits, code generated from the modeling tool's framework is often inaccessible to domain software, limiting the ability to modify or verify it. Additionally, the additional code generated to perform the various functions of the modeling tool is unnecessary code for the functions of the domain software and affects limited resources such as memory usage. As a solution, this paper proposes a method for developing an automatic model code generator that produces framework-independent code from state machine diagrams. The automatic model code generator uses a state machine diagram as input to automatically generate source code through the steps of extraction model design, extraction model implementation, implementation model creation, and model code generation. The functionality and performance of this method are validated by comparing the code generated using the automatic model code generator with that generated using the modeling tool. The experimental results in the naval combat system environment show no difference in functionality, demonstrating efficient performance concerning resource utilization, including memory usage. Using the method proposed in this paper has the advantage of being able to apply it flexibly by solving the problem of not being able to apply state machine diagrams due to the framework-dependent code of the modeling tool. Jung, Seungmo; Lee, Woojin Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea 59318643400; 55682653854 woojin@knu.ac.kr; IEEE ACCESS IEEE ACCESS 2169-3536 12 SCIE ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS;COMPUTER SCIENCE, INFORMATION SYSTEMS 2024 3.6 34.8 0.39 2025-05-07 0 1 Unified modeling language; Codes; Generators; Software development management; Source coding; Solid modeling; Model driven engineering; model-driven development; state machine diagrams; automatic code generation; naval combat system software automatic code generation; model-driven development; naval combat system software; state machine diagrams; Unified modeling language Computer software selection and evaluation; Fighter aircraft; Naval warfare; Warships; Automatic code generations; Automatic modeling; Code generators; Model-driven-development; Modelling tools; Naval combat system software; Naval combat systems; State machine diagrams; System softwares; Unified Modeling; Unified Modeling Language English 2024 2024 10.1109/access.2024.3454699 바로가기 바로가기 바로가기 바로가기
Article Direct Feedback Learning With Local Alignment Support While backpropagation (BP) algorithm has been pivotal in enabling the success of modern deep learning technologies, it encounters challenges related to computational inefficiency and biological implausibility. Especially, the sequential propagation of error signals using forward weights in BP is not biologically plausible and prevents efficient parallel updates of learning parameters. To solve these problems, the direct feedback alignment (DFA) method is proposed to directly propagate the error signal from output layer to each hidden layer through random feedback weight, but the performance of DFA is still not competent to BP, especially in complicate tasks with large number of outputs and the convolutional neural network models. In this paper, we propose a method to adjust the feedback weights in DFA using additional local modules that are connected to the hidden layers. The local module attached to each hidden layer has a single-layer structure and learns to mimic the final output of the network. Then, the weights of a local module behave like a direct path connecting each hidden layer to the network output, which has an inverse relationship to the direct feedback weights of DFA. We use this relationship to update the feedback weight of DFA. From the experimental investigation, we confirm that the proposed adaptive feedback weights improve the alignment of the error signal of DFA with that of BP. Furthermore, comparative experiments show that the proposed method significantly outperforms the original DFA on well-known benchmark datasets. The code used for the experiments is available at https://github.com/leibniz21c/direct-feedback-learning-with-local-alignment-support. Yang, Heesung; Lee, Soha; Park, Hyeyoung Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea 58175679600; 58175908900; 55713613500 hypark@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 2025-04-16 0 0 Vectors; Biological information theory; Backpropagation; Benchmark testing; Convolutional neural networks; Training; Task analysis; Feedback; biologically plausible learning; random feedback weight; direct feedback alignment; local alignment support module Backpropagation; biologically plausible learning; direct feedback alignment; local alignment support module; random feedback weight Backpropagation; Bioinformatics; Computation theory; Convolution; Deep learning; Information theory; Inverse problems; Job analysis; Network layers; Neural networks; Benchmark testing; Biological information theories; Biologically plausible learning; Convolutional neural network; Direct feedback alignment; Local alignment; Local alignment support module; Random feedback weight; Random feedbacks; Support modules; Task analysis; Errors English 2024 2024 10.1109/access.2024.3409819 바로가기 바로가기 바로가기 바로가기
Article Direct Transient Stability Assessment of Grid-Connected Voltage Source Converters: A Transient Energy Functions Perspective The integration of renewable energy sources ( RES ) into the grid predominantly utilizes voltage source converters ( VSC ) with a grid-following ( GFL ) connection strategy. This approach, however, often faces instability issues in low-inertia grid regions. To enhance grid resilience in renewable-dominated power systems, grid-forming ( GFM ) connection strategies have been introduced, with the virtual synchronous machine ( VSM ) technique based on GFM control being particularly prevalent. Consequently, transient stability investigations of power systems employing both GFL and GFM connection techniques have gained increasing relevance. This paper proposes an innovative fast direct transient stability analysis ( DTSA ) approach that leverages Lyapunov's direct method to assess the transient stability of a GFM with VSM control technique, incorporating the influence of parallel-connected VSC with GFL control strategy. The proposed DTSA approach models the GFL as a current source with parallel internal reactance and the GFM as a voltage source with series internal reactance. Detailed analytical derivations of the DTSA approach using transient energy functions, along with the DTSA criterion for the interconnected system, are presented to determine the critical clearing time ( CCT ) of the GFM-employed VSC. . Furthermore, Matlab/Simulinkbased electromagnetic transient ( EMT ) time-domain ( t - d) ) simulation responses are utilized to validate the accuracy and computational effectiveness of the proposed fast DTSA approach. In addition, the proposed DTSA approach offers considerable benefits for efficiently assessing and managing power systems that heavily rely on RES in terms of operational planning and contingency management. Poulose, Albert; Kim, Soobae Kyungpook Natl Univ, Sch Elect & Elect Engn, Dept Elect Engn, Daegu 41566, South Korea Poulose, Albert/HOF-5035-2023 57216694893; 55377374400 soobae.kim@knu.ac.kr; IEEE ACCESS IEEE ACCESS 2169-3536 12 SCIE ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS;COMPUTER SCIENCE, INFORMATION SYSTEMS 2024 3.6 34.8 0.39 2025-05-07 1 3 Power system stability; Transient analysis; Stability criteria; Numerical stability; Grid forming; Grid following; Voltage control; Lyapunov methods; Renewable energy sources; Direct transient stability; grid-forming; grid-following; Lyapunov functions; power system stability; transient stability; transient energy functions; renewable penetrated systems; voltage source converters VIRTUAL SYNCHRONOUS GENERATORS; POWER-SYSTEMS; SYNCHRONIZATION Direct transient stability; grid-following; grid-forming; Lyapunov functions; power system stability; renewable penetrated systems; transient energy functions; transient stability; voltage source converters Electromagnetic transients; Lyapunov methods; Stability criteria; Transient stability; Direct transient stability; Grid following; Grid forming; Grid-following; Grid-forming; Lyapunov's functions; Lyapunov's methods; Power systems stability; Renewable energy source; Renewable penetrated system; Renewables; Stability criterions; Transient energy functions; Voltage source English 2024 2024 10.1109/access.2024.3450316 바로가기 바로가기 바로가기 바로가기
Article Dynamic Obstacle Avoidance for an MAV Using Optimization-Based Trajectory Prediction With a Monocular Camera Vision-based algorithms are widely applied to micro-air vehicles (MAVs) because of their limited takeoff weight. Conventional stereo camera requires a large baseline for long-distance detection, which is difficult for MAVs. The rapidly developing, learning-based, monocular depth estimation method can handle these problems and succeed remarkably well in providing acceptable depth in indoor (maximum distance: 10 m) and outdoor (maximum distance: 80 m) environments. For the safety of an MAV in outdoor environments, we, therefore, propose a monocular-camera-based dynamic avoidance system, along with obstacle motion estimation by depth estimation methods using the Kalman filter. To handle the position uncertainty of a dynamic obstacle and predict its future movement, a polynomial-fitting-based trajectory prediction method with a defined uncertainty range has been used. Subsequently, using quadratic programming (QP), a safe, corridor-based, spatiotemporal trajectory generation method is proposed to ensure the safety of the MAV. We validate the performance of our algorithm through simulation and real-world experiments using an MAV. Zhou, Miaojun; Lee, Hyeonbeom Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea; Ajou Univ, Dept Mech Engn, Suwon 16499, South Korea 58071944300; 55556473400 hbeomlee@ajou.ac.kr; IEEE ACCESS IEEE ACCESS 2169-3536 12 SCIE ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS;COMPUTER SCIENCE, INFORMATION SYSTEMS 2024 3.6 34.8 0.77 2025-05-07 0 2 MAV; MAV; depth estimation; depth estimation; trajectory prediction; trajectory prediction; polynomial optimization; polynomial optimization depth estimation; MAV; polynomial optimization; trajectory prediction Kalman filters; Polynomial approximation; Quadratic programming; Stereo image processing; Depth Estimation; Dynamic obstacle avoidance; Estimation methods; Maximum distance; Micro air-vehicles; Monocular cameras; Optimisations; Polynomial optimization; Trajectory prediction; Vision based algorithms; Micro air vehicle (MAV) English 2024 2024 10.1109/access.2024.3459963 바로가기 바로가기 바로가기 바로가기
Article Empowered Virtual Synchronous Generator Based Control Scheme for Improved Transient Response and Reduced Nuisance Tripping in Stable Microgrids Multiloop voltage-controlled virtual synchronous generator (VSG) based control scheme is recently popular in forming stable microgrids. This scheme deploys traditional VSG (TVSG) control for power controllers in the outermost loop and proportional-integral synchronous reference frame-based voltage-current (PIVA) controllers in the inner loop (named TVSG-PIVA scheme). But, this scheme usually exhibits larger deviations and longer settling times in transient response under large active power demands. This poor transient response would further lead to unnecessary tripping which is referred to as nuisance tripping in the literature. This hampers the system's stability even though there is no genuine fault. Thus, to address this problem, this paper proposes a modified VSG (MVSG) power controller based on adjusting the gain constant of the speed governor in the TVSG through an equalizing factor. From simulations, it is found that this MVSG supported by PIVA controllers (named MVSG-PIVA scheme) successfully avoided undesired trips under large active power demands, but, is susceptible to nuisance tripping under large reactive power demands. Thus, to effectively improve transient response and reduce the chances of nuisance trips under both large active/reactive power loads, this paper proposes a hybrid control scheme by deploying the MVSG power controller and internal model control-based VA controllers (named MVSG-IMCVA scheme). The efficacy of the proposed MVSG-IMCVA scheme is compared with the MVSG-PIVA scheme and conventional TVSG-PIVA scheme under different power factor loadings. From the results, it is proved that the proposed scheme improved the transient response and reduced unnecessary trips. Thus, the proposed modifications demonstrate the empowerment of the multiloop voltage-controlled VSG scheme, thereby ensuring system stability during dominant load changes. Srikanth, Mandarapu; Kumar, Y. V. Pavan; Reddy, Ch. Pradeep; Mallipeddi, Rammohan VIT AP Univ, Sch Elect Engn, Amaravati 522237, Andhra Pradesh, India; VIT AP Univ, Sch Comp Sci & Engn, Amaravati 522237, Andhra Pradesh, India; Kyungpook Natl Univ, Sch Elect Engn, Dept Artificial Intelligence, Daegu 37224, South Korea; Kyungpook Natl Univ, Smart Agr Innovat Ctr, Daegu 41566, South Korea , Dr. Y. V. Pavan Kumar/AHD-6564-2022; Mandarapu, Srikanth/LCD-2374-2024; M, Srikanth/LCD-2374-2024; Y. V., Dr. Pavan Kumar/AHD-6564-2022; Mallipeddi, Rammohan/AAL-5306-2020 58077498200; 54395950000; 36447985300; 25639919900 pavankumar.yv@vitap.ac.in;mallipeddi.ram@gmail.com; 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 2 3 Transient response; Microgrids; Stability analysis; Voltage control; Emulation; Reactive power; Power system stability; Synchronous generators; Internal model control; microgrids; nuisance tripping; transient response; virtual inertia; virtual synchronous generator CONTROL STRATEGY; DISTRIBUTED GENERATION; FREQUENCY REGULATION; MACHINE; INVERTERS Internal model control; microgrids; nuisance tripping; transient response; virtual inertia; virtual synchronous generator Controllers; Electric loads; Electric machine control; Electric power factor; Electric power system control; Electric power utilization; Model predictive control; Power control; Reactive power; Stability; Synchronous generators; Two term control systems; Virtual Power Plants; Voltage control; Emulation; Internal model control; Microgrid; Nuisance tripping; Power controllers; Power systems stability; Stability analyze; Virtual inertia; Virtual synchronoi generator; Transient analysis English 2024 2024 10.1109/access.2024.3429378 바로가기 바로가기 바로가기 바로가기
Article Enhancing Precision in Eye Surgery: Applanation and Vacuum-Aided Automatic Cornea Needle Insertion System This paper illustrates the improvement of needle positioning precision within corneal tissue by an automated needle insertion system utilizing a vacuum applanation pad. The system is designed to streamline the needle insertion process for deep anterior lamellar keratoplasty (DALK), where precise positioning of the needle tip is essential for successful pneumatic dissection of the diseased corneal tissue. The vacuum applanation pad of the system can fixate and flatten the corneal tissue, resulting in a fixed uniform tissue region. By penetrating the needle into the fixture region, tissue deformation - which can negatively influence needle positioning accuracy - could be minimized. Furthermore, a needle selection process regarding the gauge and length was performed to determine the optimal needle parameter with minimal end tip deflection, and a Luer lock needle fixture was designed to provide roller support that can additionally suppress deflection. Two target needle depths (400 and 500 mu m ) were set to evaluate the proposed system. Ten cadaveric porcine eyes were tested for each target depth and a total of 20 data points were acquired. As a result, the system could achieve a needle end tip depth of 373.9 +/- 15.9 mu m (Target: 400 mu m ) and 441.3 +/- 22.2 mu m (Target: 500 mu m ), showing an overall standard deviation of 21.1 mu m from the target depth. Therefore, the proposed system could achieve precise positioning of the needle within the corneal tissue to the target depth without relying on feedback information, such as that provided by real-time optical coherence tomography. Choi, Won Bin; Park, Ikjong; Park, Jeongwoo; Kim, Chulhong; Kim, Hong Kyun; Chung, Wan Kyun Pohang Univ Sci & Technol, Dept Mech Engn, Pohang 37673, South Korea; Samsung Elect, Suwon 443743, South Korea; Pohang Univ Sci & Technol, Dept Convergence IT Engn, Pohang 37673, South Korea; Kyungpook Natl Univ, Sch Med, Dept Ophthalmol, Daegu 41566, South Korea Park, Jeongwoo/LIC-1971-2024; Kim, Hong Kyun/ITT-7758-2023; Kim, Chang-Hoon/D-7205-2016 58973622300; 57192195676; 57205588351; 57202234822; 57218260940; 57204958534 wkchung@postech.ac.kr; IEEE ACCESS IEEE ACCESS 2169-3536 12 SCIE ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS;COMPUTER SCIENCE, INFORMATION SYSTEMS 2024 3.6 34.8 0 2025-04-16 0 0 Needles; Cornea; Vacuum systems; Force; Deformation; Microsurgery; Microscopy; Ophthalmology; Manipulator dynamics; keratoplasty; microsurgery; cornea; needle; DALK; manipulation assistance INTRAOCULAR-PRESSURE; KERATOPLASTY; PERCEPTION; DEPTH; TOOL cornea; DALK; keratoplasty; manipulation assistance; microsurgery; needle; Ophthalmology End effectors; Fixtures (tooling); Optical tomography; Surgery; Tissue; Cornea; Corneal tissues; Deep anterior lamellar keratoplasty; Force; Keratoplasty; Manipulation assistance; Microsurgery; Vacuum system; Needles English 2024 2024 10.1109/access.2024.3384873 바로가기 바로가기 바로가기 바로가기
Article Expected Benefits of Coordinated Energy Storage Operation in Stochastic Unit Commitment With Enhanced Deliverability of Reserves Benefits of energy storage systems (ESSs) are being investigated to figure out whether ESSs are worthwhile to install and operate. As ESSs are addressed as an effective tool to mitigate variability and uncertainty of renewable resources, measurements of their values are more emphasized. This paper examines benefits of ESSs, particularly for ESSs cooperating with solar photovoltaic (PV) or wind farms, using a stochastic unit commitment (UC) model co-optimizing energy and reserves by the ESSs with the enhanced deliverability of deployed reserves. For benefit measurements, cost savings, renewable energy generation improvements, and carbon dioxide emissions reduction are quantified and compared under the different operational conditions of ESSs. Optimal UC, energy, and upward & downward reserve schedules by the thermal generators and ESSs are provided by the proposed simulation model. The model is also designed to achieve environmental policy goals: 30% renewable energy generation and capped carbon dioxide emissions for low-carbon electricity generation. The uncertainties of renewable resources-available wind and solar DNI-and electric load are modeled as random variables, and two-stage stochastic mixed integer linear programming is applied to represent the given uncertainties in the formulation. Scenarios for random variables are generated using the autoregressive-to-anything (ARTA) process. The results show that operating the ESSs with providing downward reserves improves efficiency of UC by committing a few conventional generators and significantly increases benefits. Park, Heejung; Kim, Myungchin Kyungpook Natl Univ, Sch Energy Engn, Daegu 37224, South Korea; Chungbuk Natl Univ, Sch Elect Engn, Cheongju 28644, South Korea 56484825400; 56342808300 h.park@knu.ac.kr;mckim@chungbuk.ac.kr; IEEE ACCESS IEEE ACCESS 2169-3536 12 SCIE ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS;COMPUTER SCIENCE, INFORMATION SYSTEMS 2024 3.6 34.8 0.43 2025-04-16 1 1 Energy storage benefit; energy storage cooperation; low-carbon electricity generation; renewable energy; stochastic unit commitment WIND RESOURCES; POWER; ELECTRICITY; INTEGRATION Energy storage benefit; energy storage cooperation; low-carbon electricity generation; renewable energy; stochastic unit commitment Carbon capture; Carbon dioxide; Electric energy storage; Electric loads; Emission control; Environmental protection; Global warming; Integer programming; Power generation; Solar power generation; Stochastic models; Stochastic systems; Uncertainty analysis; Uranium compounds; Wind power; Electricity-generation; Energy storage benefit; Energy storage cooperation; Generator; Load modeling; Low carbon economy; Low-carbon electricities; Low-carbon electricity generation; Power; Power system; Renewable energies; Renewable energy source; Stochastic unit commitments; Wind power generation; Random processes English 2024 2024 10.1109/access.2024.3351358 바로가기 바로가기 바로가기 바로가기
Article Face De-Identification Using Face Caricature Face privacy concerns revolve around the ethical, social, and technological implications of collecting, storing, and using facial data. With the advancement of deep learning techniques, realistic face privacy involves techniques that obscure or alter facial features effectively without compromising the usability or quality of the visual content. Modern face privacy techniques suffer from three main problems: 1) lack of human perception, 2) indistinguishability, and 3) loss of facial attributes. Modern face privacy techniques generate random, realistic faces to conceal the identifiable features of the original faces but lack the application of human perception to face de-identification. Indistinguishability arises with the highly realistic nature of fake faces used in face privacy, making it difficult to distinguish whether a face has been manipulated. Most face-privacy methods also fails to retain the facial attributes of the de-identified faces. Our face de-identification method is designed to address all three issues mentioned. We propose a novel face de-identification method that considers both human perception and face recognition models when de-identifying a face. We explore the tradeoff between a user misidentifying the original identity with a well-known celebrity and a facial recognition model that tries to identify the original identity. We generate caricature faces of the de-identified faces to ensure our manipulated faces can be distinguished effortlessly. The face caricatures are the exaggeration of the eyes and mouth region, and we provide different exaggeration scales depending on preference and application. We perform an attribute preservation optimization process to retrieve all the facial attributes. We demonstrate our method through a series of both qualitative and quantitative experiments with numerous user studies. Laishram, Lamyanba; Lee, Jong Taek; Jung, Soon Ki Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea ; Jung, Soon Ki/P-7687-2018 57219930647; 24341317500; 57226791905 skjung@knu.ac.kr; IEEE ACCESS IEEE ACCESS 2169-3536 12 SCIE ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS;COMPUTER SCIENCE, INFORMATION SYSTEMS 2024 3.6 34.8 3.43 2025-04-16 5 8 Face recognition; Privacy; Facial features; Generative adversarial networks; Visualization; Identification of persons; Human factors; Face privacy; face de-identification; face caricature; human perception PRIVACY face caricature; face de-identification; Face privacy; human perception Data visualization; Deep learning; Fake detection; Generative adversarial networks; De-identification; Face caricature; Face de-identification; Face privacy; Facial feature; Human perception; Identification method; Identification of persons; Indistinguishability; Privacy; Face recognition English 2024 2024 10.1109/access.2024.3356550 바로가기 바로가기 바로가기 바로가기
Article Factuality Guided Diffusion-Based Abstractive Summarization ive summarization models are required to generate summaries that maintain factual consistency with the source text and exhibit high diversity to be applicable in practical applications. Existing models, which are based on pre-trained sequence-to-sequence or text diffusion approaches, generally struggle to balance these aspects, as emphasizing one typically compromises the other. To achieve both factual consistency and high diversity in summarization, this paper proposes a factuality-guided diffusion-based abstractive summarization model. This model integrates a factuality-guided module into the diffusion-based model. As the diffusion-based summarization model generates a high-diversity summary by denoising from random noise, the module guides the noise toward factual consistency with the source text. The proposed method continually guides factuality into the intermediate noise at each denoising step, thereby generating summaries that are not only consistent with the source text but also high in diversity. To guide factuality during the denoising step, this study also introduces a method for calculating the factuality based on token-level contextual matching between the source text and the intermediate noise. The effectiveness of the proposed factuality-guided summarization model is validated on three benchmark datasets, and experimental results demonstrate that the summaries generated by the proposed model are more factually consistent and diverse than those generated by baseline models. Shin, Jeongwan; Park, Hyeyoung; Song, Hyun-Je Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea; Jeonbuk Natl Univ, Dept Comp Sci & Artificial Intelligence, Jeonju 54896, Jeollabuk, South Korea 58086287500; 55713613500; 35175084000 hyunje.song@jbnu.ac.kr; IEEE ACCESS IEEE ACCESS 2169-3536 12 SCIE ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS;COMPUTER SCIENCE, INFORMATION SYSTEMS 2024 3.6 34.8 0.39 2025-05-07 0 1 diverse text summarization; factuality-guided summarization; factually consistency in abstractive summarization; Diffusion-based abstractive summarization; diverse text summarization; factuality-guided summarization; factually consistency in abstractive summarization Diffusion-based abstractive summarization; diverse text summarization; factuality-guided summarization; factually consistency in abstractive summarization De-noising; Diffusion-based abstractive summarization; Diffusion-based model; Diverse text summarization; Factuality-guided summarization; Factually consistency in abstractive summarization; Random noise; Source text; Summarization models; Text Summarisation English 2024 2024 10.1109/access.2024.3467063 바로가기 바로가기 바로가기 바로가기
Article Fluidal Peperites Recorded in the Cretaceous Lacustrine Sediments in the Southern Korean Peninsula: Syn-Magmatic Sediment Fluidization and Its Influence on the Peperite Formation This study assessed the influence of sediment and water redistribution in host sediments on peperite formation by examining the peperites at the boundary between Cretaceous lacustrine sedimentary successions and intruding dikes (D1 and D2). The peperite zones occur along the dike margins and consist of fluidal juvenile fragments, classified as Type A and Type B perperite zones based on lateral extent of the peperite zones. Type A peperite zone, the dominant type, exhibites a narrow distribution (<20 cm), whereas Type B peperite zone sporadically occurs along D1 with a wider width (<1 m). Type B peperite zone is laterally linked with clastic dikes. These dikes containi fluidal shaped dike fragments with jigsaw-fit textures, indicating syn-magmatic fluidization and the resultant formation of the clastic dike via heat transfer. During dike emplacement, the interaction between the host sediments and the intruding magma formed Type A along the margins. Simultaneously, the clastic dikes, composed of fluidized sediments and water, supplied additional water and sediments, enhancing magma-host sediment intermingling and leading to the wide lateral extent of Type B. Our findings demonstrate that sediment and water redistribution via syn-magmatic fluidization is crucial in peperite formation, influencing the initial processes of phreatomagmatic volcanism. Kim, Min-Cheol; Gihm, Yong Sik Pusan Natl Univ, Dept Earth Sci Educ, Busandaehak Ro 63, Busan 46241, South Korea; Kyungpook Natl Univ, Dept Geol, Daehak Ro 80, Daegu 41556, South Korea; Kyungpook Natl Univ, KNU G LAMP Res Ctr, Daehak Ro 80, Daegu 41566, South Korea 59445382700; 56025805300 igumany@pusan.ac.kr;naress@knu.ac.kr; MINERALS MINERALS-BASEL 2075-163X 14 9 SCIE GEOCHEMISTRY & GEOPHYSICS;MINERALOGY;MINING & MINERAL PROCESSING 2024 2.2 34.8 0 2025-05-07 0 0 lacustrine; phreatomagmatic; magma; heat transfer; host sediments GYEONGSANG BASIN; MECHANISMS; EVOLUTION; DEPOSITS; ESCAPE; ORIGIN; WATER heat transfer; host sediments; lacustrine; magma; phreatomagmatic English 2024 2024-09 10.3390/min14090951 바로가기 바로가기 바로가기 바로가기
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