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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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| ○ | ○ | Proceedings Paper | Interaction-Aware Vehicle Motion Planning with Collision Avoidance Constraints in Highway Traffic | This paper proposes collision-free optimal trajectory planning for autonomous vehicles in highway traffic, where vehicles need to deal with the interaction among each other. To address this issue, a novel optimal control framework is suggested, which couples the trajectory of surrounding vehicles with collision avoidance constraints. Additionally, we describe a trajectory optimization technique under state constraints, utilizing a planner based on Pontryagin's Minimum Principle, capable of numerically solving collision avoidance scenarios with surrounding vehicles. Simulation results demonstrate the effectiveness of the proposed approach regarding interactionbased motion planning for different scenarios. | Kim, Dongryul; Kim, Hyeonjeong; Han, Kyoungseok | Kyungpook Natl Univ, Dept Mech Engn, Daegu 41566, South Korea | 58137887800; 59093155400; 56465294700 | ddyul@knu.ac.kr;hyeonjeong9@knu.ac.kr;kyoungsh@knu.ac.kr; | 2024 35TH IEEE INTELLIGENT VEHICLES SYMPOSIUM, IEEE IV 2024 | 1931-0587 | 0 | 2025-05-07 | 0 | 0 | AUTONOMOUS VEHICLES; MODEL; PREDICTION | Highway traffic control; Intelligent systems; Intelligent vehicle highway systems; Motion planning; Trajectories; Vehicles; Autonomous Vehicles; Collision-free; Collisions avoidance; Highway traffic; Motion-planning; Optimal control frameworks; Optimal trajectory planning; Optimization techniques; Trajectory optimization; Vehicle motion; Collision avoidance | English | 2024 | 2024 | 10.1109/iv55156.2024.10588660 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||||
| ○ | Article | Interactive Evolutionary Colour Assignment and Proportioning for Camouflage Design with K-Means and Genetic Algorithm: A Case Study of Nigeria’s Landscape | Natural camouflage, seamlessly blending animals with their surroundings, remains challenging for artificial counterparts. Some animals exhibit near-permanent camouflaging, a product of decades of genetic evolution with their environment. At the same time, chameleons and octopuses achieve the ideal desired instantaneous camouflaging, unlike the heuristic-based approach of the artificial camouflage design. To attain similar perfection seen in animals, an evolutionary approach to artificial camouflage pattern development is necessary. Developing nations, primarily adopting the camouflage patterns of their more developed counterparts, may find themselves at a disadvantage. This study proposes a Genetic Algorithm (GA)-based approach to aid designers in developing countries in crafting effective camouflage. By parameterising heuristic development as a procedural texturing problem and evolving colour assignments iteratively, this approach aims to emulate the evolutionary process seen in nature. Using the K-means algorithm, genes are initialised based on background image colours, exploring factorial combinations to achieve optimal camouflage. With a maximum of 100 iterations and interactive feedback, the method addresses Nigeria's specific case and offers a faster development solution than developed nations' approaches. This evolutionary approach could revolutionise artificial camouflage development worldwide. © Institute for Color Science and Technology. | Obasekore, T.; Obasekore, H.; Kang, B.Y.; Lee, J. | Department of Fashion Design, Kyungpook National University, Sangju, 37224, South Korea; Department of Robot and Smart System Engineering, Kyungpook National University, Daegu, 41566, South Korea; Department of Robot and Smart System Engineering, Kyungpook National University, Daegu, 41566, South Korea; Department of Fashion Design, Kyungpook National University, Sangju, 37224, South Korea | 59168004500; 57211521199; 26643468300; 59167879900 | color@knu.ac.kr; | Progress in Color, Colorants and Coatings | 2008-2134 | 17 | 4 | 0 | 2025-04-16 | 0 | Camouflage; Colour assignment; Genetic algorithm; Interactive design; K-Mean; Procedural texture | English | Final | 2024 | 10.30509/pccc.2024.167267.1279 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Conference paper | Interactive Robot-Robot Reinforcement Learning for Object Balancing Task | Robots with machine learning are expanding their application fields, such as serving robots and guiding robots, but applying machine learning to robots has a high labor cost due to human intervention. This paper proposes interactive robot-robot reinforcement learning technology to minimize human intervention in learning tasks that successfully balance objects between two robots. In this proposed technique, the teacher and student robot guide and learn object balancing based on reinforcement learning. Teacher robot teaches knowledge that has not been learned in advance to student robot, and teaches more effectively by providing various positive and negative text feedback on the training results. In virtual simulations, the training results of the student robot converge to the optimal policy as an evaluation result of the proposed method, and the trained student robot performs appropriate actions according to various table states by the teacher's random action. Through our experimental results, the application possibility of robot-robot learning is verified being as good as human-robot learning. Our proposed method could be utilized to seamlessly transfer the learned knowledge when it is challenging to apply the learning model to a heterogeneous robot or an agent in an IoT environment. © 2024 IEEE. | Kim, Yewon; Jeon, Haein; Kang, Bo-Yeong | Kyungpook National University, Dept. of Artificial Intelligence, Daegu, 41566, South Korea; Kyungpook National University, Dept. of Artificial Intelligence, Daegu, 41566, South Korea; Kyungpook National University, Dept. of Robot and Smart System Engineering, Daegu, 41566, South Korea | 58309651100; 58306039400; 26643468300 | yewonkim.knu@gmail.com; | Digest of Technical Papers - IEEE International Conference on Consumer Electronics | 0747-668X | 0 | 2025-04-16 | 0 | cooperative robot; interactive reinforcement learning; reinforcement learning; robot-robot learning | Balancing; Learning systems; Robot learning; Robots; Students; Wages; Application fields; Cooperative robots; Human intervention; Interactive Reinforcement Learning; Interactive robot; Labor costs; Machine-learning; Reinforcement learnings; Robot-robot learning; Teachers'; Reinforcement learning | English | Final | 2024 | 10.1109/icce59016.2024.10444355 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | Conference paper | Internal Resistance Modeling for Proactive Safety Monitoring in Batteries and Energy Storage Systems | Batteries, and, Energy Storage System(ESS), which combines several of these batteries to store and use electrical energy freely, is a technology that has recently come into the spotlight, but at the same time, it has a very dangerous power. Therefore, safety diagnosis is very important and it is also important to analyze the internal resistance (IR) of lithium-ion batteries, which is one of the important parameters for safety diagnosis. Because the electrical and chemical reactions occur very complex at the same time in batteries, it is very difficult to simulate them similar to the real ones. We tried to analyze the battery cells electrochemically and numerically to derive output voltage values and internal resistance values like those of actual cells. Since high-precision simulations are structured almost similar to actual cells, several possibilities of defects can be tested through simulation and more accurate internal resistance abnormalities can be made. This will affect the technological advancement of batteries and ESS. © 2024 The Korean Institute of Electrical Engineers (KIEE). | Kim, Chae Won; Lee, Se-Hee | School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea | 59814430200; 59629554800 | 2024 10th International Conference on Condition Monitoring and Diagnosis, CMD 2024 | 0 | 2025-05-07 | 0 | Direct Current Internal Resistance(DC-IR); Energy Storage System (ESS); Governing Equation; Lithium-ion Battery; Pseudo-2-Dimentional (P2D) model | Battery storage; Direct current internal resistances; Energy; Energy storage system; Governing equations; Internal resistance; Ion batteries; Lithium ions; Pseudo-2-dimentional model; Safety diagnosis; Storage systems; Lithium-ion batteries | English | Final | 2024 | 10.23919/cmd62064.2024.10766146 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | Article | Intravascular imaging-guided percutaneous coronary intervention in patients with acute myocardial infarction and cardiogenic shock; [Intervención coronaria percutánea guiada por imagen intravascular en pacientes con infarto agudo de miocardio y shock cardiogénico] | Introduction and objectives: There are no clinical data on the efficacy of intravascular imaging-guided percutaneous coronary intervention (PCI) compared with angiography-guided PCI in patients with acute myocardial infarction (AMI) and cardiogenic shock. The current study sought to evaluate the impact of intravascular imaging-guided PCI in patients with AMI and cardiogenic shock. Methods: Among a total of 28 732 patients from the nationwide pooled registry of KAMIR-NIH (November, 2011 to December, 2015) and KAMIR-V (January, 2016 to June, 2020), we selected a total of 1833 patients (6.4%) with AMI and cardiogenic shock who underwent PCI of the culprit vessel. The primary endpoint was major adverse cardiovascular events (MACE) at 1 year, a composite of cardiac death, myocardial infarction, repeat revascularization, and definite or probable stent thrombosis. Results: Among the study population, 375 patients (20.5%) underwent intravascular imaging-guided PCI and 1458 patients (79.5%) underwent angiography-guided PCI. Intravascular imaging-guided PCI was associated with a significantly lower risk of 1-year MACE than angiography-guided PCI (19.5% vs 28.2%; HR, 0.59; 95%CI, 0.45-0.77; P < .001), mainly driven by a lower risk of cardiac death (13.7% vs 24.0%; adjusted HR, 0.53; 95%CI, 0.39-0.72; P < .001). These results were consistent in propensity score matching (HR, 0.68; 95%CI, 0.46-0.99), inverse probability weighting (HR, 0.61; 95%CI, 0.45-0.83), and Bayesian analysis (Odds ratio, 0.66, 95% credible interval, 0.49-0.88). Conclusions: In AMI patients with cardiogenic shock, intravascular imaging-guided PCI was associated with a lower risk of MACE at 1-year than angiography-guided PCI, mainly driven by the lower risk of cardiac death. © 2024 Sociedad Española de Cardiología | Joh, Hyun Sung; Lee, Seung Hun; Jo, Jinhwan; Kim, Hyun Kuk; Lim, Woo-Hyun; Kim, Hack-Lyoung; Seo, Jae-Bin; Chung, Woo-Young; Kim, Sang-Hyun; Zo, Joo-Hee; Kim, Myung-A.; Kim, Min Chul; Kim, Ju Han; Hong, Young Joon; Ahn, Young Keun; Jeong, Myung Ho; Hur, Seung Ho; Kim, Doo Il; Chang, Kiyuk; Park, Hun Sik; Bae, Jang-Whan; Jeong, Jin-Ok; Park, Yong Hwan; Yun, Kyeong Ho; Yoon, Chang-Hwan; Kim, Yisik; Hwang, Jin-Yong; Kim, Hyo-Soo; Hong, David; Kwon, Woochan; Choi, Ki Hong; Park, Taek Kyu; Yang, Jeong Hoon; Song, Young Bin; Hahn, Joo-Yong; Choi, Seung-Hyuk; Gwon, Hyeon-Cheol; Lee, Joo Myung | Department of Internal Medicine and Cardiovascular Center, Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seúl, South Korea; Division of Cardiology, Department of Internal Medicine, Heart Center, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, South Korea; Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seúl, South Korea; Department of Internal Medicine and Cardiovascular Center, Chosun University Hospital, University of Chosun College of Medicine, Gwangju, South Korea; Department of Internal Medicine and Cardiovascular Center, Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seúl, South Korea; Department of Internal Medicine and Cardiovascular Center, Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seúl, South Korea; Department of Internal Medicine and Cardiovascular Center, Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seúl, South Korea; Department of Internal Medicine and Cardiovascular Center, Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seúl, South Korea; Department of Internal Medicine and Cardiovascular Center, Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seúl, South Korea; Department of Internal Medicine and Cardiovascular Center, Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seúl, South Korea; Department of Internal Medicine and Cardiovascular Center, Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seúl, South Korea; Division of Cardiology, Department of Internal Medicine, Heart Center, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, South Korea; Division of Cardiology, Department of Internal Medicine, Heart Center, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, South Korea; Division of Cardiology, Department of Internal Medicine, Heart Center, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, South Korea; Division of Cardiology, Department of Internal Medicine, Heart Center, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, South Korea; Division of Cardiology, Department of Internal Medicine, Heart Center, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, South Korea; Department of Internal Medicine and Cardiovascular Center, Keimyung University Dongsan Medical Center, Daegu, South Korea; Department of Cardiology, Inje University Haeundae Baek Hospital, Inje University College of Medicine, Busan, South Korea; Division of Cardiology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seúl, South Korea; Department of Internal Medicine, Kyungpook National University Hospital, Daegu, South Korea; Department of Internal Medicine, College of Medicine, Chungbuk National University, Cheongju, South Korea; Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, South Korea; Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea; Department of Internal Medicine and Cardiovascular Center, Wonkwang University Hospital, Iksan, South Korea; Department of Internal Medicine and Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, South Korea; Department of Internal Medicine and Cardiovascular Center, Chonbuk National University Hospital, Chonbuk National University Medical School, Jeonju, South Korea; Department of Internal Medicine, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, South Korea; Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seúl, South Korea; Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seúl, South Korea; Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seúl, South Korea; Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seúl, South Korea; Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seúl, South Korea; Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seúl, South Korea; Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seúl, South Korea; Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seúl, South Korea; Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seúl, South Korea; Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seúl, South Korea; Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seúl, South Korea | 57192918948; 57214839313; 58539392300; 57206210646; 53984609100; 17135448100; 12791706900; 35209766800; 49663680000; 6602752507; 56593722600; 57202224572; 57196169644; 13310329100; 56937721300; 56485157500; 34570274500; 8635545900; 25521288100; 57198844106; 8699381000; 57210973601; 56799369500; 14424664600; 7202882965; 56089313700; 55892914700; 33567809200; 57209653664; 57200395455; 55756735500; 55750570800; 45662209400; 15763569500; 12771661800; 57213560615; 6603262426; 54894745500 | drone80@hanmail.net; | Revista Espanola de Cardiologia | 0300-8932 | 77 | 12 | 0 | 2025-05-07 | 1 | Acute myocardial infarction; Cardiogenic shock; Intravascular imaging; Percutaneous coronary intervention | Aged; Coronary Angiography; Female; Follow-Up Studies; Humans; Male; Middle Aged; Myocardial Infarction; Percutaneous Coronary Intervention; Registries; Retrospective Studies; Shock, Cardiogenic; Treatment Outcome; Ultrasonography, Interventional; acute heart infarction; angiography; angiography guided percutaneous coronary intervention; Article; Bayes theorem; cardiac patient; cardiogenic shock; cardiovascular disease; cardiovascular risk; controlled study; heart death; heart infarction; human; intermethod comparison; interventional cardiovascular procedure; intravascular imaging guided percutaneous coronary intervention; major clinical study; percutaneous coronary intervention; propensity score; reoperation; revascularization; stent thrombosis; aged; cardiogenic shock; clinical trial; complication; coronary angiography; epidemiology; etiology; female; follow up; heart infarction; interventional ultrasonography; male; middle aged; multicenter study; procedures; register; retrospective study; treatment outcome | English | Final | 2024 | 10.1016/j.recesp.2024.03.017 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Conference paper | Invariant Risk Minimization in Medical Imaging with Modular Data Representation | Despite the effectiveness of deep neural networks trained with Empirical Risk Minimization (ERM) in medical imaging tasks, these models often exhibit performance degradation when faced with Out-of-Distribution (OoD) data, owing to potential biases in their predictive accuracy. Invariant Risk Minimization (IRM) seeks to rectify this issue by identifying invariant or causal correlations across various environments. However, its practical application does not consistently deliver the expected generalization performance in real-world scenarios. This paper addresses a potential limitation of the IRM framework, positing that the constraints enforced by IRM might not sufficiently guide the model in learning all causal features. In response, we propose a novel methodology leveraging modular neural networks within the IRM framework. Our approach aims to generate more diverse data representations, thereby enhancing the generalization performance of models trained with IRM. Experimental validation on three tasks-two medical image classification tasks, namely, Camelyon17-wilds and CheXpert, and a synthetic task, Colored MNIST-demonstrates significant improvements in generalization performance in both OoD set-tines and subpopulation shift cases. © 2024 IEEE. | Bae, Jun-Hyun; Kim, Chanwoo; Chang, Taeyoung | Kyungpook National University, Department of Artificial Intelligence, Daegu, South Korea; Graduate School of Data Science, Seoul National University, Seoul, South Korea; Seoul National University, Department of Statistics, Seoul, South Korea | 57222760538; 57221354772; 58966867100 | 2024 International Conference on Electronics, Information, and Communication, ICEIC 2024 | 3.12 | 2025-04-16 | 1 | Invariant Risk Minimization; Medical Image Classification; Modular Neural Networks; Out-of-Distribution; Subpopulation Shift | Computer vision; Deep neural networks; Image classification; Image enhancement; Data representations; Empirical risk minimization; Generalization performance; Invariant risk minimization; Medical image classification; Modular data; Modular neural networks; Out-of-distribution; Risk minimization; Subpopulation shift; Medical imaging | English | Final | 2024 | 10.1109/iceic61013.2024.10457174 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | Conference paper | Investigating the Aging Mechanisms of Polyethylene Under Numerous Actions Produced by Non-Thermal Plasma | Polymer materials are widely used in a variety of applications in everyday life because they are lightweight, chemically and physically stable, inexpensive, and easy to mold. Polymer materials in nature are susceptible to external reactions such as ultraviolet (UV), biological, thermal, and mechanical stress. The aging mechanism of polymer materials is crucial since these degradation factors age polymer materials and reduce their performance. However, due to polymer aging behavior in complex natural conditions and a relatively slow aging process, it is difficult to identify polymer aging mechanisms. Here, to clarify the aging process of polyethylene (PE), non-thermal plasma was used to simulate considering the various aging factors such as UV, reactive oxygen species (ROS), thermal, and mechanical stress that occur in nature. As a result, a phenomenon similar to long-term aging appeared even with a short treatment time of less than 1 hour, and the effects of various degradation factors were comprehensively considered. As aging progressed, the existing hydrocarbon chain bonds were cleaved, oxygen-containing functional groups were confirmed to form, and the carbonyl index increased. Furthermore, when comparing the final by-product to the traditional degradation mechanism, it was found that the same functional groups were generated. Our findings may help researchers better understand the PE aging mechanism, study the prevention of PE degradation, and even provide useful information for studying effective degradation. © 2024 The Korean Institute of Electrical Engineers (KIEE). | Kim, Seong-Hun; Kim, Jin-Gyu | School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, Department of Electrical Engineering, Daegu, South Korea | 58464715100; 54680957000 | kjg@knu.ac.kr; | 2024 10th International Conference on Condition Monitoring and Diagnosis, CMD 2024 | 0 | 2025-05-07 | 0 | accelerated degradation; aging mechanism; carbonyl group; non-thermal plasma; polyethylene | Reactive oxygen species; Accelerated degradation; Ageing process; Aging mechanism; Carbonyl groups; Degradation factor; Mechanical stress; Nonthermal plasma; Polymer aging; Polymer materials; Thermal; Polyethylenes | English | Final | 2024 | 10.23919/cmd62064.2024.10766167 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | ○ | Proceedings Paper | Investigation of Row Hammer and Passing Gate Effects Based on the Work Functions of Dual Gates in DRAM Cells | In this paper, the effect of the work function of the double metal gate inside DRAM cells on the row hammer (RHE) and passing gate effect (PGE) was analyzed. The RHE and PGE were observed to be significantly affected by the work function of the top metal, mainly due to the leakage current (GIDL). Additionally, it was found that the PGE of DRAM cells was also significantly affected by the work function of the bottom metal. | Kim, Hansol; Im, Jisung; Kim, Jinsu; Woo, Seungmin; Kwon, Taeseong; Yoon, Young Jun; Bae, Jong-Ho; Woo, Sung Yun | Kyungpook Natl Univ, Sch ECE, Daegu, South Korea; Andong Natl Univ, Dept EE, Andong, South Korea; Kookmin Univ, Sch EE, Seoul, South Korea | Yoon, Young/L-1747-2019; Kim, Jinsu/ADX-7780-2022; Kim, Hansol/MAI-1017-2025; Bae, Jong-Ho/V-5237-2019 | 58542537300; 59325078500; 57201935131; 59793026600; 59325436300; 55517032200; 55339347700; 57212495752 | sywoo@knu.ac.kr; | 2024 IEEE SILICON NANOELECTRONICS WORKSHOP, SNW 2024 | 2161-4636 | 3.73 | 2025-05-07 | 2 | 2 | DRAM; BCAT; TCAD simulation; row hammer effect; passing gate effect | BCAT; DRAM; passing gate effect; row hammer effect; TCAD simulation | Electronic design automation; Extreme ultraviolet lithography; Gates (transistor); Hammers; Junction gate field effect transistors; Leakage currents; 'current; BCAT; Cell-be; Cell/B.E; Double metal gates; DRAM cells; Dual gates; Passing gate effect; Row hammer effect; TCAD simulation; Static random access storage | English | 2024 | 2024 | 10.1109/snw63608.2024.10639228 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||
| ○ | Review | Ion-imprinted membranes for lithium recovery: A review | This review critically examines the effectiveness of ion-imprinted membranes (IIMs) in selectively recovering lithium (Li) from challenging sources such as seawater and brine. These membranes feature customized binding sites that specifically target Li ions, enabling selective separation from other ions, thanks to cavities shaped with crown ether or calixarene for improved selectivity. The review thoroughly investigates the application of IIMs in Li extraction, covering extensive sections on 12-crown-4 ether (a fundamental crown ether for Li), its modifications, calixarenes, and other materials for creating imprinting sites. It evaluates these systems against several criteria, including the source solution's complexity, Li+ concentration, operational pH, selectivity, and membrane's ability for regeneration and repeated use. This evaluation places IIMs as a leading-edge technology for Li extraction, surpassing traditional methods like ion-sieves, particularly in high Mg2+/Li+ ratio brines. It also highlights the developmental challenges of IIMs, focusing on optimizing adsorption, maintaining selectivity across varied ionic solutions, and enhancing permselectivity. The review reveals that while the bulk of research is still exploratory, only a limited portion has progressed to detailed lab verification, indicating that the application of IIMs in Li+ recovery is still at an embryonic stage, with no instances of pilot-scale trials reported. This thorough review elucidates the potential of IIMs in Li recovery, cataloging advancements, pinpointing challenges, and suggesting directions for forthcoming research endeavors. This informative synthesis serves as a valuable resource for both the scientific community and industry professionals navigating this evolving field. © 2024 The Authors | Zavahir, Sifani; Riyaz, Najamus Sahar; Elmakki, Tasneem; Tariq, Haseeb; Ahmad, Zubair; Chen, Yuan; Park, Hyunwoong; Ho, Yeek-Chia; Shon, Ho Kyong; Han, Dong Suk | Center for Advanced Materials, Qatar University, P.O. Box 2713, Doha, Qatar; Gas Processing Center, Qatar University, P.O. Box 2713, Doha, Qatar; Center for Advanced Materials, Qatar University, P.O. Box 2713, Doha, Qatar; Department of Chemical Engineering, College of Engineering, Qatar University, Doha, Qatar; Qatar University Young Scientists Center (QUYSC), Qatar University, Doha, Qatar; School of Chemical and Biomolecular Engineering, The University of Sydney, 2006, NSW, Australia; School of Energy Engineering, Kyungpook National University, Daegu, 41566, South Korea; Centre for Urban Resource Sustainability, Institute of Self-Sustainable Building, Civil and Environmental Engineering Department, Universiti Teknologi Petronas, Seri Iskandar, 32610, Malaysia; Centre for Technology in Water and Wastewater (CTWW), School of Civil and Environmental Engineering, University of Technology Sydney (UTS), NSW, Australia; Center for Advanced Materials, Qatar University, P.O. Box 2713, Doha, Qatar, Department of Chemical Engineering, College of Engineering, Qatar University, Doha, Qatar | 56493120500; 57558655000; 57221280532; 57922243000; 55358599200; 35261539500; 7601565583; 57192371616; 6701629946; 36139213900 | dhan@qu.edu.qa; | Chemosphere | 0045-6535 | 354 | 1.19 | 2025-05-07 | 10 | Brine; Ion-imprinted membrane (IIM); Lithium; Recovery; Seawater | Adsorption; Crown Ethers; Ions; Lithium; Crown ethers; Ethers; Extraction; Ions; Ligands; Lithium; Membranes; Phenols; Recovery; calixarene; crown ether; lithium ion; magnesium ion; sea water; crown ether; ion; lithium; Binding-sites; Calixarenes; Crown-ethers; Imprinted membranes; Ion imprinted; Ion-imprinted membrane; Lithium extraction; Lithium ions; Lithium recoveries; Selective separation; brine; lithium; membrane; seawater; separation; adsorption; binding site; electric potential; embryo; ionization; membrane; nonhuman; pH; Review; chemistry; Seawater | English | Final | 2024 | 10.1016/j.chemosphere.2024.141674 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Proceedings Paper | IoT Query Latency Enhancement by Resource-Aware Task Placement in the Fog | The advancement of the IoT (Internet of Things) domain has led to the widespread adoption of IoT applications. These latency-sensitive IoT applications demand low query latency for real-time data analytics. Fog computing has aided in mitigating query response time regarding single query optimization. However, challenges exist regarding optimizing concurrent execution of simultaneously arriving queries within the heterogeneous and resource-constrained fog environment. This paper presents an efficient resource-aware multi-query optimization technique to address these challenges. The proposed technique formulates a query execution plan in a network-compute-aware manner to optimize the concurrent execution of multiple queries. We introduce novel network-compute-aware multi-query task placement algorithms for narrow and wide transformation tasks that take into account the current network and computational resource statistics. The proposed algorithms perform optimal task placement to reduce the overall latency of multiple queries in a resource-aware manner. Our evaluation reveals that our technique can reduce the query latency by up to 76%, and decrease the network usage by 60% when compared to other techniques. | Abdullah, Fatima; Razaq, Mian Muaz; Kim, Youyang; Peng, Limei; Suh, Young-Kyoon; Tak, Byungchul | Kyungpook Natl Univ, Daegu, South Korea | Razaq, Muaz/ACN-8991-2022 | 57225376681; 57221661906; 59206780500; 7201574271; 55443739900; 6506911621 | fatima@knu.ac.kr;mianmuaz97@knu.ac.kr;youyangkim@knu.ac.kr;auroraplm@knu.ac.kr;yksuh@knu.ac.kr;bctak@knu.ac.kr; | 39TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2024 | 0 | 2025-05-07 | 0 | 0 | IoT Query; Fog computing; Task placement; Latency reduction | INTERNET | fog computing; IoT query; latency reduction; task placement | Constrained optimization; Data Analytics; Fog; Internet of things; Concurrent execution; Data analytics; Internet of thing query; Latency reduction; Multiple queries; Query latency; Query response time; Real-time data; Resource aware; Task placement; Fog computing | English | 2024 | 2024 | 10.1145/3605098.3635939 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||
| ○ | Article | Isolation and Identification of Three Newly Reported Ascomycete Fungal Species Isolated from Soil in Korea | In this study, three fungal isolates belonging to the phylum Ascomycota under classes Leotiomycetes, Eurotiomycetes, and Sordariomycetes were isolated from soil in Korea. These species were designated as KNUF-22-003, KNUF-22-005, and KNUF-20-NI016, respectively, and identified based on their phylogenetic relationships and morphological characteristics. The isolates were confirmed through molecular phylogenetic analyses of their internal transcribed spacer (ITS) region, 28S rDNA large subunit (LSU), and actin (ACT1) gene sequences. Cultural and morphological characteristics of strains KNUF-22-003, KNUF-22-005, and KNUF-20-NI016 were matched with Chaetomella oblonga CBS110.78T, Oidiodendron chlamydosporicum CBS403.69T, and Sarocladium subulatum CBS217.35T, respectively. To the best of our knowledge, this is the first report on C. oblonga, O. chlamydosporicum, and S. subulatum in Korea. © 2024 THE KOREAN SOCIETY OF MYCOLOGY. | Azmi, Mohammad Hamizan; Lim, Seong-Keun; Park, Seok-Jin; Song, Min-Gyeong; Cha, Jun-Soo; 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, 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; 59209346700; 59208313000; 59208830300; 56106499600; 7403029383 | leesy1123@knu.ac.kr; | Korean Journal of Mycology | 0253-651X | 52 | 2 | 0 | 2025-05-07 | 0 | Chaetomella oblonga; morphology; Oidiodendron chlamydosporicum; phylogenetic analysis; Sarocladium subulatum | English | Final | 2024 | 10.4489/kjm.520202 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Book | K-pop INNOVATION: The Future of Korean Innovation that Took the World by Storm | K-pop’s remarkable global popularity is no coincidence. Its success cannot be attributed to a talented individual or a set of favourable government policies but is instead the result of continuous innovation by risk-taking entrepreneurs. For the first time in English, this book presents a focus on the managerial and structural features of the K-pop industry to unpack the resounding success of K-pop companies and the Hallyu Wave phenomenon. It analyses leading industry players, explaining the success strategies of K-pop from the perspective of innovation management theory. It places a particular special emphasis on SM Entertainment, a leading pioneer in the South Korean entertainment industry, and sheds light on the company’s strategies for success. As the book examines how K-pop developed over time, it draws an interesting parallel with the semiconductor and IT industries, noting common characteristics between them. It concludes with thoughts on K-pop’s future and advises K-pop innovators on developing new business models combining new technologies in artificial intelligence (AI), robotics and augmented reality (AR) to keep the momentum going. It is a must-read for readers interested in innovation, the entertainment industry, and the global phenomenon that is the Hallyu Wave. © 2024 by Jangwoo Lee All rights reserved. | Lee, Jangwoo; Pyun, Lynn | Kyungpook National University, South Korea; Ewha Womans University, South Korea | 41561405700; 57201461523 | K-pop Innovation: The Future of Korean Innovation that Took the World by Storm | 0 | 2025-05-07 | 4 | English | Final | 2024 | 10.1142/13290 | 바로가기 | 바로가기 | |||||||||||||||||||||
| ○ | ○ | Proceedings Paper | K-RAF: A Kubernetes-based Resource Augmentation Framework for Edge Devices | Internet of Things (IoT) (or edge) devices are typically resource-constrained in terms of CPU, memory, and storage. Thus, it is viable for the devices to request resource provisioning to an edge server in the presence of growing data and heavy computation, as the edge server provides better accessibility than cloud servers. Consequently, the edge devices often perform computation and storage provisioning to the edge servers in large-scale data operations. However, the conventional methods for provisioning edge devices take into little consideration the characteristics of resources that jobs executed at the devices rely on. In particular, fully migrating computation jobs from the device to the server may waste valuable resources of the server without considering the computation and I/O characteristics of the jobs, thereby making the devices' resources idle. To overcome these limitations, we propose a novel Kubernetes-based resource augmentation framework, termed K-RAF, for provisioning edge devices with limited capabilities and accelerating the devices' job processing. Our experiment demonstrates that utilizing GPU acceleration, on average, K-RAF can run tasks 306 times faster than local computation on an edge device. Also, we show that utilizing the task distribution between an edge device and K-RAF can offer an average speedup of about 40% compared to K-RAF alone. | Jang, Youngwoo; Byeon, Jiseob; Kwon, Soonbeom; Choi, Illyoung; Nam, Dukyun; Tak, Byungchul; Na, Gap-Joo; Suh, Young-Kyoon | Kyungpook Natl Univ, Daegu, South Korea; Univ Arizona, Tucson, AZ USA; Elect & Telecommun Res Inst, Daejeon, South Korea | Nam, Dukyun/AFX-2852-2022 | 58704648200; 59343037400; 59342952600; 57202980306; 35805721000; 6506911621; 13103777300; 55443739900 | yksuh@knu.ac.kr; | PROCEEDINGS OF THE 33RD INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE PARALLEL AND DISTRIBUTED COMPUTING, HPDC 2024 | 0 | 2025-05-07 | 0 | 0 | Edge devices; Private cloud; Resource augmentation; Kubernetes | edge devices; kubernetes; private cloud; resource augmentation | Cloud servers; Conventional methods; CPU memory; Data operations; Edge device; Edge server; Kubernetes; Large scale data; Private clouds; Resource augmentation | English | 2024 | 2024 | 10.1145/3625549.3658826 | 바로가기 | 바로가기 | 바로가기 | |||||||||||||
| ○ | Article | Kinetic modeling of ultrasound-assisted extraction of dieckol from Ecklonia cava using a choline chloride-based natural deep eutectic solvent | Natural deep eutectic solvents (NADES) are promising green and sustainable solvents for efficient extraction of bioactive compounds. We employed ultrasound-assisted extraction (UAE) to extract dieckol from Ecklonia cava (EC) using choline chloride-based NADES. Eight different NADES (comprising sugars, alcohols, and organic acids) and a conventional solvent were screened to select the best eutectic solvent for dieckol extraction. Among the organic acid-based NADES, choline chloride-acetic acid (CCAC; 1:1 molar ratio with a 50% [v/v] water content) exhibited a higher dieckol content (31.45 mg/g) than other NADES and ethanol. Second-order kinetic modeling was applied using CCAC with varying water content (40-80%, v/v) to confirm the extraction efficiency and underlying mechanism. The kinetic model showed that CCAC with 40% water content (v/v) exhibited the highest capacity (Ce=29.67 mg/g), while CCAC with 60% water content (v/v) yielded a superior extraction rate constant (k=0.12 mg/g min). Moreover, the dieckol extract displayed potent DPPH and ABTS+ antioxidant activities. Furthermore, structural and viscosity changes between the synthesized CCAC with and without water addition were compared. Our study proposes an eco-friendly and efficient extraction alternative for the extraction of dieckol from EC using NADES. © 2024 The Korean Society of Food Preservation. | Cho, Ha Seong; Park, Gwang Deok; Olawuyi, Ibukunoluwa Fola; Park, Jong Jin; Lee, Won Young | School of Food Science and Technology, Kyungpook National University, Daegu, 41566, South Korea; School of Food Science and Technology, Kyungpook National University, Daegu, 41566, South Korea; School of Food Science and Technology, Kyungpook National University, Daegu, 41566, South Korea; Food Safety and Distribution Research Group, Korea Food Research Institute, Wanju, 55365, South Korea; School of Food Science and Technology, Kyungpook National University, Daegu, 41566, South Korea, Research Institute of Tailored Food Technology, Kyungpook National University, Daegu, 41566, South Korea | 58188941600; 57231403300; 57204471854; 58602432200; 57195940408 | wonyoung@knu.ac.kr; | Food Science and Preservation | 3022-5477 | 31 | 5 | 0 | 2025-05-07 | 0 | dieckol; Ecklonia cava; kinetic modeling; natural deep eutectic solvent; ultrasound | English | Final | 2024 | 10.11002/fsp.2024.31.5.735 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Article | Land, Education, and Reproduction: Changing Socioeconomic Differentials in a Rural Korean Village | This study investigates socioeconomic differentials in marriage and fertility during the Korean fertility transition in a rural village. These differentials have significant implications for understanding historical fertility patterns and the drivers of fertility decline. By analyzing population registers linked to land rosters and school records, we examine how land ownership and educational attainment were associated with fertility levels and the timing of marriage and fertility, and how these associations evolved across birth cohorts. We attempt to examine the changing relationships between two distinct measures of socioeconomic status—land ownership and education—and marriage and fertility. This approach provides critical insights into family formation patterns during the Korean demographic transition. The analyses reveal that fertility levels and timing were influenced by land ownership but not by educational attainment. Individuals whose husbands owned farmland tended to marry earlier and have more children compared to their landless counterparts with similar characteristics. This relationship remained consistent across birth cohorts. We discuss the implications of these findings, acknowledge the study’s limitations, and propose directions for future research. © (2024), (Institute of Social Development and Policy Research). All rights reserved. | Kye, Bongoh; Park, Heejin | Department of Sociology, Kookmin University in, Seoul, South Korea; Research Institute of Economics and Business Administration, Kyungpook National University, Daegu, South Korea | 23397401800; 55713612100 | heejinp@knu.ac.kr; | Journal of Asian Sociology | 2671-4574 | 53 | 3 | 0 | 2025-05-07 | 0 | fertility differentials; fertility transition; historical demography; Korea | English | Final | 2024 | 10.21588/dns.2024.53.3.002 | 바로가기 | 바로가기 |
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