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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 |
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| ○ | Article | New Records of Two Unreported Fungal Species: Cladophialophora floridana and Chloridium setosum Isolated from Soil in Korea | During an exploration of fungal diversity in Korean soil, this study isolated two fungal strains, designated KNUF-23-321L and KNUF-23-314, and identified them as previously unrecorded species. Morphological and cultural features were examined for initial classification. The characteristics of strains KNUF-23-321L and KNUF-23-314 matched those of Cladophialophora floridana SR3028T, and Chloridium setosum CGMCC 3.20741T, respectively. To further pinpoint their identities and evolutionary relationships, molecular phylogenetic analyses were conducted using the internal transcribed spacer (ITS) regions and 28S rDNA large subunit (LSU) on strain KNUF-23-321L which showed high similarity of 98.6 and 100%, respectively, with strain C. floridana SR3028T. For the strain KNUF-23-314, it showed a high similarity of 100% with strain Ch. setosum CBS 263.76A with both ITS regions and LSU genes. These combined morphological and phylogenetical analyses revealed that KNUF-23-321L was identified as C. floridana, and KNUF-23-314 was identified as Ch. setosum. To the best of our knowledge, these are the first reports of C. floridana and Ch. setosum in Korea. © 2024 THE KOREAN SOCIETY OF MYCOLOGY. | Azmi, Mohammad Hamizan; Lim, Seong-Keun; Lee, Sang-Min; Kang, Dae-Hoon; Choi, Jin-Sil; Lim, Gwang-Jae; Choi, Jun-Woo; Kim, Min-Kyu; Lee, Seung-Yeol; Jung, Hee-Young | Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea, Institute of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea, Institute of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea | 59208830200; 57756003900; 57213176293; 59397091600; 58512402700; 58512640000; 59213079300; 58660956400; 56106499600; 7403029383 | leesy1123@knu.ac.kr; | Korean Journal of Mycology | 0253-651X | 52 | 3 | 0 | 2025-05-07 | 0 | Chloridium setosum; Cladophialophora floridana; phylogeny; soil fungi; unreported species | English | Final | 2024 | 10.4489/kjm.520302 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Conference paper | Next-Generation Passivation Strategies for Enhanced Solar Cell Performance | The essential need to improve the efficiency and stability of photovoltaic systems has led to substantial changes in the development of solar cell passivation processes over time. We briefly review the development of passivation techniques, emphasizing the shift from traditional approaches to advanced techniques that address specific limitations. By exploring studies on various materials and technologies, this review uncovers how innovations in passivation have contributed to the overall performance of solar cells, paving the way for future advancements in this field. © 2024 IEEE. | Lee, Donggyu; Zhu, Guanghui A. | Kyungpook National University, College of It Engineering, Daegu, South Korea; Kyungpook National University, College of It Engineering, Daegu, South Korea | 59762116500; 58552044500 | Proceedings - International Conference on Information Science and Communications Technologies - Applications, Trends and Opportunities, ICISCT 2024 | 0 | 2025-05-07 | 0 | Nanomaterials; Nanostructures; PHotovoltaics; Semiconductor defects; Surface recombination | Nanocarbon; Nanocomposites; Nanocrystalline materials; Nanoparticles; Nanopillars; Materials and technologies; Passivation process; Passivation strategy; Performance; Photovoltaic systems; Photovoltaics; Solar cell performance; Surface recombinations; Traditional approaches; Traditional approachs; Nanorings | English | Final | 2024 | 10.1109/icisct64202.2024.10956916 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | Conference paper | Nine-Depth Switchable Augmented Reality Display with Bi-stacked Quarter-Waveplate-Based Geometric Phase Lenses | Here, we present triple sets of wavefront modulation by proposing quarter-waveplate-based GPL (QWP GPL). We demonstrate nine depth-switchable AR imaging functions with a bi-stack condition of the QWP GPL modules. The presented QWP-based GPL module scheme is advantageous for increasing depth-switchable layers without increasing the switchable optic units required. In addition, the AR display optics based on the QWP GPL module can further improve form-factor issues and AR imaging properties. © 2024, John Wiley and Sons Inc. All rights reserved. | Shin, Jung-Yeop; Lee, Jae-Won; Seo, Jin-Hyeok; Cho, Young-Min; Kim, Hak-Rin | School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea, School of Electronics Engineering, Kyungpook National University, Daegu, 41566, South Korea | 57956975700; 58377059800; 59305776100; 58532952600; 7410124944 | Digest of Technical Papers - SID International Symposium | 0097-966X | 55 | 1 | 0 | 2025-05-07 | 0 | augmented reality display; depth switching; form-factor; geometric phase lens; polarization-dependent optics | Geometrical optics; Optical instrument lenses; Augmented reality display; Depth switching; Form factors; Geometric phase; Geometric phase lens; Imaging functions; Polarization-dependent optic; Quarter waveplates; Switchable; Wavefront modulations; Wavefronts | English | Final | 2024 | 10.1002/sdtp.17525 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Conference paper | NODE and Contraction Methods for Dynamics Learning from Human Expert Demonstrations | In this paper, we propose model-free or learning-from-demonstration methodologies for accurately estimating the complex and nonlinear behaviors of dynamic systems such as mobile robots, robotic arm manipulators, and unmanned aerial vehicles (UAVs). Under learning from demonstration (LfD), this study investigates two different approaches: The first proposed methodology is the contraction theory, in which the assigned task demonstration is practically performed by the human expert, who tries to learn and imitate it. On the other hand, the same task learns and imitates by utilizing the neural ordinary differential equations (NODEs) for dynamic systems. Using the concepts of both approaches, we tried to make it possible for the system to pick up on and imitate the shown behavior or demonstration accurately. In dynamics learning, the proposed contraction method utilizes the conceptual framework of the contraction theory, which ensures the motions of dynamic systems that eventually converge to nominal or desired behavior. At the same time, NODE uses the neural network with different configurations of hidden layers, learning rate, nonlinear activation function, and ODE solver. A spiral trajectory is considered a human expert demonstration that is estimated by both methodologies (i) NODE and (ii) contraction theory. For validation purposes, we compared the results of both approaches. © 2024 by SCITEPRESS-Science and Technology Publications, Lda. | Ahmed, Tufail; Lee, Sangmoon; Park, Ju H. | Department of Electronics and Electrical Engineering, Kyungpook National University, Daegu, South Korea; Department of Electronics and Electrical Engineering, Kyungpook National University, Daegu, South Korea; Department of Electrical Engineering, Yeungnam University, Kyongsan, South Korea | 59727918100; 59812532700; 15036553900 | Proceedings of the International Conference on Informatics in Control, Automation and Robotics | 2184-2809 | 2 | 0 | 2025-05-07 | 0 | Contraction Theory; Dynamic Systems; Imitation Learning; Initial Value Problem; Learning from Demonstrations (LfD); Neural Ordinary Differential Equations (NODE) | English | Final | 2024 | 10.5220/0012992900003822 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Conference paper | Non-Calibration Sensor Fusion Using High Resolution 3D LiDAR | Light detection and ranging (LiDAR) and camera are the most commonly used combination in sensor fusion techniques. In this paper, we propose a method to recognize obstacles by fusion of images and point cloud data generated from high-resolution 3D LiDAR. By applying the image to a deep learning network, we obtain inference information about the obstacle, and based on this, we convert the pixel location of the obstacle in the image into a mapped point cloud. This enables more sophisticated obstacle recognition by converting 2D data into 3D space data. The algorithm is implemented in an autonomous vehicle and tested at the proving ground of the Korea Intelligent Automotive Parts Promotion Institute (KIAPI), under the 2024 autonomous driving competition for university students, Daegu, Republic of Korea © 2024 IEEE. | Eun, Seung Woo; Bitwire, George Albert; Thu, Nguyen Thi Hoai; Kang, Sin Jae; Han, Dong Seog | School of Electronic and Electrical Engineering, Graduate School, Kyungpook National University, Daegu, South Korea; School of Electronic and Electrical Engineering, Graduate School, Kyungpook National University, Daegu, South Korea; School of Electronic and Electrical Engineering, Graduate School, Kyungpook National University, Daegu, South Korea; School of Electronic and Electrical Engineering, Graduate School, Kyungpook National University, Daegu, South Korea; School of Electronic and Electrical Engineering, Graduate School, Kyungpook National University, Daegu, South Korea | 59553871000; 59553903300; 57216620557; 59553318500; 7403219442 | International Conference on ICT Convergence | 2162-1233 | 0 | 2025-05-07 | 0 | Autonomous Driving; LiDAR; Object Detection; Sensor Fusion | Image fusion; Remote sensing; Autonomous driving; Fusion techniques; High resolution; Learning network; Light detection and ranging; Non calibrations; Objects detection; Pixel location; Point cloud data; Sensor fusion; Sensor data fusion | English | Final | 2024 | 10.1109/ictc62082.2024.10827034 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Article | Non-destructive morphological screening for the assessment of postharvest storage effect on pears stored with apples using optical coherence tomography | The use of a limited and inadequate storage facility for the storage of multiple food items for an extended period of time results in the loss of structural integrity and freshness while storing fruit in confined single storage without adequate individual packaging methods can result in morphological changes and the degradation of the quality of the fruit. In this study, the effects of postharvest storage on pears co-stored with apples were investigated via non-invasive screening of the structural deformation of pears and the respective anatomical changes of the sub-surface. The anatomical changes were monitored for a prolonged time (12 d) under inadequate and confined storage conditions using swept-source optical coherence tomography (SS-OCT) and the results were comparatively analyzed using appropriately stored specimens. In addition, the OCT cross-sectional images were analyzed for the assessment of the dispersed intensity profile using a customized intensity-based image-processing algorithm. The results revealed the internal morphological variations and corresponding intensity fluctuations, thickness variations, and internal gap formations. This confirmed the potential applicability of OCT as a real-time, non-invasive high-resolution assessment technique for determining fruit quality in diverse environments, such as post-harvest storage and transportation systems. © 2024 Elsevier GmbH | Luna, Jannat Amrin; Wijesinghe, Ruchire Eranga; Lee, Seung-Yeol; Ravichandran, Naresh Kumar; Saleah, Sm Abu; Seong, Daewoon; Jung, Hee-Young; Jeon, Mansik; Kim, Jeehyun | School of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu, 41566, South Korea; Department of Electrical and Electronic Engineering, Faculty of Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka; School of Applied Biosciences, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu, 41566, South Korea; Center for Scientific Instrumentation, Korea Basic Science Institute, 169-148, Gwahak-ro Yuseong-gu, Daejeon, 34133, South Korea; ICT Convergence Research Center, Kyungpook National University, Daegu, 41566, South Korea; School of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu, 41566, South Korea; School of Applied Biosciences, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu, 41566, South Korea; School of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu, 41566, South Korea; School of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu, 41566, South Korea | 58079161200; 56018152300; 56106499600; 57125825900; 57218499446; 57212512353; 7403029383; 24171094000; 7601373350 | heeyoung@knu.ac.kr; | Optik | 0030-4026 | 301 | 0.76 | 2025-05-07 | 2 | Morphological screening; Optical coherence tomography; Optical imaging; Postharvest storage effect; SS-OCT | Food storage; Fruits; Optical data processing; Real time systems; Anatomical changes; Morphological changes; Morphological screening; Non destructive; Optical imaging; Packaging methods; Post-harvest storage; Postharve storage effect; Storage facilities; Swept source optical coherence tomographies; Optical tomography | English | Final | 2024 | 10.1016/j.ijleo.2024.171678 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Proceedings Paper | Non-Functional Requirements Discovery and Quality Assurance using Goal Model for Earthquake Warning System in Operation | Many industrial systems that are developed without proper engineering guidance due to a lack of expertise or resources suffer from failures and maintenance problems in their evolving lifecycle. For mission-critical systems, in particular, ensuring high quality of non-functional requirements in a rapidly changing domain environment is of the utmost importance. In this paper, we report our case study with an industry system, a sensor-based earthquake warning system that was developed without a rigorous engineering process. Therefore, no requirements documents are available for future maintenance and verification. In this study, we used various types of software analysis methods such as stakeholder interviews, document reviews, source code analysis, model checking, and software testing for discovering requirements and also for verification purposes. We used a goal modeling approach to gather a set of initial requirements as though they had been elicited using an appropriate requirements engineering method in the early stage of the development process. Furthermore, software testing and model checking were iteratively used to verify and clarify unknown-source, uncertain, and unconfirmed requirements during the revision of the goal model. This study also provides an architectural improvement of the system through the discovery of requirements conflicts and violations. The experience and findings of this study, which demonstrate the effectiveness of applying diverse software engineering techniques in maintenance, can contribute to the analysis and evolution of systems developed without a proper engineering process, by discovering and verifying some critical requirements specifications. | Shin, Youngsul; Lee, Seok-Won; Choi, Yunja | Kyungpook Natl Univ, Software Disaster Res Ctr, Daegu, South Korea; Ajou Univ, Dept Software & Comp Engr, Dept Artificial Intelligence, Suwon, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engr, Daegu, South Korea | 55308613400; 7601393462; 54972885300 | youngsulshin@gmail.com;leesw@ajou.ac.kr;yuchoi76@knu.ac.kr; | 32ND IEEE INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE, RE 2024 | 2332-6441 | 0 | 2025-05-07 | 0 | 0 | requirement discovery; requirement verification; goal model; quality assurance; maintenance and evolution | ENGINEERING PRACTICES | goal model; maintenance and evolution; quality assurance; requirement discovery; requirement verification | Computer software maintenance; Computer software selection and evaluation; Earthquakes; Model checking; Requirements engineering; Engineering process; Failure problems; Goal models; Industrial systems; Maintenance and evolution; Models checking; Non-functional requirements; Requirement verifications; Requirements discovery; Software testings; Software testing | English | 2024 | 2024 | 10.1109/re59067.2024.00034 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||
| ○ | Article | Non-Terrestrial Networks: An Overview of 3GPP Release 17 & 18 | This article provides an overview of technological advancements in Non-Terrestrial Networks (NTN) from the perspective of the 3rd Generation Partnership Project (3GPP). With the introduction of 3GPP Release 17 & 18, there has been a significant emphasis on integrating satellite access networks into terrestrial networks. This integration necessitates a holistic design approach that spans multiple areas, including the Radio Access Network (RAN) to services and system aspects to core, and terminals. The article provides insights and implications of incorporating satellite access networks as a new 3GPP RAN and as a backhaul solution. We explore the impact of this integration on network architecture and performance, considering factors such as coverage, capacity, and latency. The article also highlights the key issues in 3GPP Release 18 and outlines the prospective potential solutions in the context of NTN to support 5G and beyond integrated architecture. Additionally, the article discusses the enhancements made in 3GPP Release 18 to support 5G and beyond in the context of Uncrewed Aerial Vehicles (UAVs). © 2024 Institute of Electrical and Electronics Engineers Inc.. All rights reserved. | Saad, Malik Muhammad; Tariq, Muhammad Ashar; Khan, Muhammad Toaha Raza | School of Computer Science and Engineering,, Kyungpook National University, Daegu, South Korea; School of Computer Science and Engineering,, Kyungpook National University, Daegu, South Korea; Middle East Technical University, Cyprus | 57220715290; 57219865336; 57202044597 | dongkyun@knu.ac.kr;maliksaad@knu.ac.kr;tariqashar@knu.ac.kr; | IEEE Internet of Things Magazine | 2576-3180 | 7 | 1 | 3.04 | 2025-04-16 | 20 | 5G mobile communication systems; Antennas; Network architecture; Access network; Architecture and performance; Holistic design approaches; Key Issues; Multiple areas; Radio access networks; Satellite access; System aspects; Technological advancement; Terrestrial networks; Radio access networks | English | Final | 2024 | 10.1109/iotm.001.2300154 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Proceedings Paper | Nonlinear Model Predictive Control Approximation: Applications to Truck-Trailer Control System | In this work, we demonstrate the effectiveness of nonlinear model predictive control (NMPC) approximation based on deep neural network (DNN). MPC has been widely adopted in autonomous driving control problems to handle multiple objectives and constraints. We first design the implicit NMPC for the forward and backward motions of a truck-trailer (TT) system, which follows the reference path while maintaining safety between the head truck (HT) and the trailer (TR). However, the computational load in implicit MPC makes it a challenge for real-time implementations. To alleviate the computational burden in implicit NMPC online, an NMPC approximation approach based on DNN is adopted in this study to achieve a parametric function approximation. We conduct a comparative study on the proposed approach and a baseline controller for control performance analysis, and the computational load is evaluated on a hardware-in-the-loop (HIL) experimental system. | Park, Suyong; Nguyen, Duc Giap; Jin, Yongsik; Park, Jinrak; Kim, Dohee; Eo, Jeong Soo; Han, Kyoungseok | Hanyang Univ, Dept Automot Engn, Seoul 04763, South Korea; Kyungpook Natl Univ, Dept Mech Engn, Daegu 41566, South Korea; Elect & Telecommun Res Inst ETRI, Robot IT Convergence Res Sect, Daegu 42994, South Korea; Hyundai Motor Co, Dept Electrified Syst Control Res Lab, Hwaseong 18280, South Korea | suyongpark@hanyang.ac.kr;everless95@knu.ac.kr;yongsik@etri.re.kr;pjr@hyundai.com;doheekim@hyundai.com;fineejs@hyundai.com;kyoungsh@hanyang.ac.kr; | 2024 24TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, ICCAS 2024 | 2093-7121 | 1 | Deep neural network; truck-trailer system; nonlinear model predictive control; hardware-in-the-loop systems; control policy approximation | English | 2024 | 2024 | 바로가기 | |||||||||||||||||||||||
| ○ | Conference paper | Nonlinear Model Predictive Control Approximation: Applications to Truck-Trailer Control System | In this work, we demonstrate the effectiveness of nonlinear model predictive control (NMPC) approximation based on deep neural network (DNN). MPC has been widely adopted in autonomous driving control problems to handle multiple objectives and constraints. We first design the implicit NMPC for the forward and backward motions of a truck-trailer (TT) system, which follows the reference path while maintaining safety between the head truck (HT) and the trailer (TR). However, the computational load in implicit MPC makes it a challenge for real-time implementations. To alleviate the computational burden in implicit NMPC online, an NMPC approximation approach based on DNN is adopted in this study to achieve a parametric function approximation. We conduct a comparative study on the proposed approach and a baseline controller for control performance analysis, and the computational load is evaluated on a hardware-in-the-loop (HIL) experimental system. © 2024 ICROS. | Park, Suyong; Nguyen, Duc Giap; Jin, Yongsik; Park, Jinrak; Kim, Dohee; Eo, Jeong Soo; Han, Kyoungseok | Hanyang University, Department of Automotive Engineering, Seoul, 04763, South Korea; Kyungpook National University, Department of Mechanical Engineering, Daegu, 41566, South Korea; Electronics and Telecommunications Research Institute (ETRI), Robotics It Convergence Research Section, Daegu, 42994, South Korea; Hyundai Motor Company, Department of Electrified Systems Control Research Lab, Hwaseong, 18280, South Korea; Hyundai Motor Company, Department of Electrified Systems Control Research Lab, Hwaseong, 18280, South Korea; Hyundai Motor Company, Department of Electrified Systems Control Research Lab, Hwaseong, 18280, South Korea; Hanyang University, Department of Automotive Engineering, Seoul, 04763, South Korea | 57560254700; 57221496576; 57020309300; 57202138375; 57198638320; 36650692500; 56465294700 | kyoungsh@hanyang.ac.kr; | International Conference on Control, Automation and Systems | 1598-7833 | 2.43 | 2025-05-07 | 1 | control policy approximation; Deep neural network; hardware-in-the-loop systems; nonlinear model predictive control; truck-trailer system | Automobiles; Closed loop control systems; Deep neural networks; Hardware-in-the-loop simulation; Nonlinear control systems; Trucks; Autonomous driving; Computational loads; Control policy; Control policy approximation; Driving control; Hardware-in-the-loop system; Neural-networks; Nonlinear model predictive control; Trailer systems; Truck-trailer system; Predictive control systems | English | Final | 2024 | 10.23919/iccas63016.2024.10773199 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | Article | NORM ATTAINING MULTILINEAR FORMS ON Rn WITH THE ℓ1-NORM | Let n, m ∈ N with n, m ≥ 2. For given unit vectors x1, · · ·, xn of a real Banach space E, we define NA(L(n E))(x1, · · ·, xn) = {T ∈ L(n E): |T (x1, · · ·, xn)| = ∥T ∥ = 1}, where L(n E) denotes the Banach space of all continuous n-linear forms on E endowed with the norm ∥T ∥ = sup∥xk ∥=1,1≤k≤n |T (x1, …, xn)|. In this paper, we present a characterization of the elements in the set NA(L(m ℓn1))(W1, · · ·, Wm) for any given unit vectors W1, …, Wm ∈ ℓn1, where ℓn1 = Rn with the ℓ1-norm. This result generalizes the results from [7], and two particular cases for it are presented in full detail: the case n = 2, m = 2, and the case n = 3, m = 2. © 2024, Transilvania University of Brasov 1. All rights reserved. | Kim, Sung Guen | Department of Mathematics, Kyungpook National University, Daegu, 702-701, South Korea | 34769667700 | sgk317@knu.ac.kr; | Bulletin of the Transilvania University of Brasov, Series III: Mathematics and Computer Science | 2810-2029 | 4 | 2 | 0 | 2025-05-07 | 0 | norm attaining multilinear forms; ℓ<sup>n</sup>1 | English | Final | 2024 | 10.31926/but.mif.2024.4.66.2.10 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Article | NORM-PEAK MULTILINEAR FORMS ON ℓ1 | Let n ∈ N, n ≥ 2. A continuous n-linear form T on a Banach space E is called norm-peak if there is unique (x1, …, xn) ∈ En such that ‖x1‖ = · · · = ‖xn‖ = 1 and T attains its norm only at (±x1, …, ±xn). In this paper, we characterize the norm-peak multilinear forms on ℓ1. © 2024, Canadian University of Dubai. All rights reserved. | Kim, Sung Guen | Department of Mathematics, Kyungpook National University, Daegu, 702-701, South Korea | 34769667700 | sgk317@knu.ac.kr; | Gulf Journal of Mathematics | 2309-4966 | 16 | 1 | 0 | 2025-04-16 | 0 | norm-peak multilinear forms; Norming points | English | Final | 2024 | 10.56947/gjom.v16i1.1728 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Proceedings Paper | NORNS: Three Guides for Efficient Automatic Post-Fabrication Optimization of Modern NAND Flash Memory | In order to meet the diverse requirements of modern storage systems, flash memory should be optimized by precisely tuning a huge number of internal operating parameters. Although 3D NAND flash memory successfully increases the capacity of storage systems, its complex architecture and unique error behavior make such optimization a more difficult and time-consuming process during NAND manufacturing. This work introduces NORNS, a novel method for post-fabrication optimization of NAND flash memory, which is an essential step in the manufacturing process of modern 3D NAND flash memory to simultaneously meet various requirements on reliability, performance, yield, etc. NORNS is based on simple machine-learning approaches yet with three key guidelines that leverage (i) domain-specific rules, (ii) recent optimization results, and (iii) online simulation, respectively, to enable quick optimization of a large number of device parameters within the limited product turnaround time (TAT). We evaluate NORNS in mass production for 7th-generation QLC NAND flash memory and 8th-generation TLC NAND flash memory. Our NORNS can achieve superior optimization over existing post-fabrication optimization techniques by showing significant performance and reliability improvements by up to 8.8% and 12% on average, respectively. | Kim, Earl; Cho, Hyunuk; Cho, Sungjun; Kim, Myungsuk; Park, Jisung; Jeong, Jaeyong; Kim, Eunkyoung; Hur, Sunghoi | Samsung Elect, Suwon, South Korea; POSTECH, Pohang, South Korea; Kyungpook Natl Univ, Daegu, South Korea | earl0314.kim@samsung.com;gusdnr9779@postech.ac.kr;allencho1222@postech.ac.kr;ms.kim@knu.ac.kr;jisung.park@postech.ac.kr;jyong.jeong@samsung.com;yesdama.kim@samsung.com;hursung@samsung.com; | PROCEEDINGS OF THE 43RD IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN, ICCAD 2024 | 0 | NAND flash memory; post-fabrication optimization; performance; reliability; machine learning; evolutionary algorithm | English | 2024 | 2024 | 10.1145/3676536.3676825 | 바로가기 | 바로가기 | ||||||||||||||||||||||
| ○ | Article | Notable mutations of porcine parvovirus 1 and 4 circulating in commercial pig farms in South Korea | In this study, almost complete genomic sequences of porcine parvovirus (PPV)1 and PPV4 circulating in commercial pig farms in South Korea were obtained and analyzed. Important mutations that may be precursors to host changes, such as premature stop codons of PPV1 and frameshift mutations of PPV4, were observed in these sequences. A 27a-like strain of PPV1, known to show a lack of cross- neutralization against existing commercial vaccine strains, was identified by phylogenetic analysis. Given the active genetic evolution, the additional precursors to host changes and emerging new genotypes of PPVs need to be monitored through continuous sampling and genetic analysis. 2024 The Korean Society of Veterinary Science. | Park, Beomsu; Hong, Jihyeon; Jun, Jongsu; Choi, An Kook; Park, Choi Kyu; Lyoo, Young Soo | College of Veterinary Medicine, Konkuk University, Seoul, 05029, South Korea; College of Veterinary Medicine, Konkuk University, Seoul, 05029, South Korea; College of Veterinary Medicine, Konkuk University, Seoul, 05029, South Korea; College of Veterinary Medicine, Konkuk University, Seoul, 05029, South Korea; College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea; College of Veterinary Medicine, Konkuk University, Seoul, 05029, South Korea | 58970789900; 58970481800; 58970481900; 58970174500; 24768064900; 35501431200 | lyoo@konkuk.ac.kr; | Korean Journal of Veterinary Research | 2466-1384 | 64 | 1 | 0 | 2025-05-07 | 0 | 27a-like strain; frameshift; porcine parvovirus; premature stop codon | English | Final | 2024 | 10.14405/kjvr.20230036 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Proceedings Paper | Novel Design Optimization Strategy using a Lumped Magnetic-Circuit Model for Surface Permenet Magnet Machine with Step-skewing Rotor | In this paper, a novel approximation strategy to three-dimensional(3-D) optimization design is proposed for surface permanent-magnet machines (SPMSM) with rotor overhang and step-skewing type motor using lumped magnetic circuit model. The rotor overhang method is applied to consider the tolerance of electric steel length in axial-direction and maintain the machine performances. The rotor step-skewing technique is used to reduce cogging torque, torque ripple value and THD of back-electro motive force (EMF). In general, the 3-D finite element method (FEM) analysis is requisite to analyze the performance of overhang and step-skewing SPM motor considering the additional flux on the overhang side and the leakage flux crossing section on the rotor magnet side. Moreover, to optimize the SPM topology for target performance, 3-D effect which are number of skew steps, shape of magnet and length of rotor, need to be considered. However, 3-D FEM optimization process requires abundant computation time and computing memory. To deal with this problem, main design variables is considered using lumped magnetic-circuit model. In addition, effective of this method is validated through comparison of 2-D, 3D and test results. | Kim, Jin-seok; Kim, Rae-Eun; Kang, Jae-Woo; Seo, Jangho | Korea Elect Technl Inst, Intelligent Mechatron Res Ctr, Bucheon, South Korea; Kyungpook Natl Univ, Sch Automot Engn, Sangju, South Korea | 59240091700; 57189235125; 59239560700; 12791073600 | jinseok.kim@keti.re.kr;kre2567@keti.re.k;jwkang12@keti.re.k;j.seo@knu.ac.kr; | 2024 IEEE 21ST BIENNIAL CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION, CEFC 2024 | 0 | 2025-05-07 | 0 | 0 | finite element method; step-skew; overhang; surface permanent magnet machines | COGGING TORQUE | finite element method; overhang; step-skew; surface permanent magnet machines | Circuit simulation; Electric machinery; Lumped parameter networks; Magnetic circuits; Permanent magnets; Timing circuits; 3D Finite Element Method (FEM); Design optimization strategy; Lumped magnetic circuits; Magnetic circuit model; Novel design; Optimization design; Overhang; Performance; Step skews; Surface permanent magnet machines; Finite element method | English | 2024 | 2024 | 10.1109/cefc61729.2024.10586006 | 바로가기 | 바로가기 | 바로가기 |
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