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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
Review Smoking exposure and allergic rhinitis in children and adolescents The prevalence of allergic rhinitis in children and adolescents is constantly increasing. However, few studies exist on the relationship between smoking and allergic rhinitis. In addition to conventional cigarettes, electronic and heated cigarettes have recently been introduced, which have several harmful effects. It is hypothesized that smoking and rhinitis are correlated; however, this relationship is complex. Previous studies reported that exposure to smoking during pregnancy is associated with allergic rhinitis development. Unlike the varied results reported in adults, studies on children and adolescents have often correlated direct/indirect smoke with allergic rhinitis, with prolonged exposure being associated with a higher risk of allergic rhinitis, particularly when exposed at an early age. Nonallergic inflammatory reactions and immunoglobulin E-mediated allergic sensitization are assumed to be the underlying mechanisms for the association between allergic rhinitis and smoking. Measures to reduce smoking are warranted to lower the incidence of allergic rhinitis in children and adolescents and to improve their health. Choi, Bong Seok; Kim, Hyun Hee; Kim, Hyo-Bin; Rha, Yeong-Ho; Park, Yang; Sung, Myongsoon; Shin, Youn Ho; Yum, Hye Yung; Lee, Kyung Suk; Lee, Yong Ju; Chun, Yoon Hong; Jee, Hye Mi; Kim, Minji; Park, Yong Mean; Choi, Sun Hee Kyungpook Natl Univ, Sch Med, Dept Pediat, Daegu, South Korea; Catholic Univ Korea, Dept Pediat, Coll Med, Seoul, South Korea; Inje Univ, Dept Pediat, Sanggye Paik Hosp, Seoul, South Korea; Kyung Hee Univ, Dept Pediat, Coll Med, Seoul, South Korea; Wonkwang Univ, Dept Pediat, Sch Med, Iksan, South Korea; Soonchunhyang Univ Gumi Hosp, Dept Pediat, Gumi, South Korea; CHA Univ, Dept Pediat, CHA Gangnam Med Ctr, Sch Med, Seoul, South Korea; Seoul Med Ctr, Dept Pediat, Seoul, South Korea; Hanyang Univ, Coll Med, Dept Pediat, Guri Hosp, Guri, South Korea; Yonsei Univ, Yongin Severance Hosp, Dept Pediat, Coll Med, Yongin, South Korea; CHA Univ, CHA Bundang Med Ctr, Dept Pediat, Sch Med, Seongnam, South Korea; Chungnam Natl Univ, Coll Med, Dept Pediat, Sejong Sejong Hosp, Sejong, South Korea; Konkuk Univ, Sch Med, Dept Pediat, Med Ctr, Seoul, South Korea Yum, Hye Yung/HNS-1098-2023; Rha, Yeong/AAI-9767-2020; Patthipati, Venkata Suresh/AAT-8233-2021; Lee, JongGu/B-7384-2013 chsh0414@naver.com; ALLERGY ASTHMA & RESPIRATORY DISEASE ALLERGY ASTHMA RESPI 2288-0402 2288-0410 10 4 ESCI ALLERGY 2022 0.2 0 Allergic rhinitis; Tobacco smoking; Child TOBACCO-SMOKE; PARENTAL SMOKING; CIGARETTE-SMOKE; SENSITIZATION; ASTHMA; DISEASE; IMPACT; RISK Korean 2022 2022-10 10.4168/aard.2022.10.4.189 바로가기 바로가기 바로가기
Article Smooth 2-homogeneous polynomials on the plane with a hexagonal norm Motivated by the classifications of extreme and exposed 2-homogeneous polynomials on the plane with the hexagonal norm k(x, y)k = max{|y|, |x| + 1/2 |y|} (see [15, 16]), we classify all smooth 2-homogeneous polynomials on ℝ2 with the hexagonal norm. © The author(s) Kim, Sung Guen Department of Mathematics, Kyungpook National University, Daegu, 702-701, South Korea 34769667700 sgk317@knu.ac.kr; Extracta Mathematicae 2605-5686 37 2 0.81 2025-06-25 3 2-homogeneous polynomials on the plane with the hexagonal norm; exposed points; extreme points; smooth points; The Krein-Milman theorem English Final 2022 10.17398/2605-5686.37.2.243 바로가기 바로가기
Article Smooth symmetric bilinear forms on Ls(²l∞²) In [Carpathian Math. Publ. 2020, 12 (2), 340-352], the author classified the extreme points and exposed points of the unit ball of the space of symmetric bilinear forms on the space L-s((2)l(infinity)(2)), where L-s((2)l(infinity)(2)) is the space of symmetric bilinear forms on the plane with the supremum norm. Motivated by this paper, we classify the smooth points of the unit ball of the space of symmetric bilinear forms on L-s((2)l(infinity)(2)). Guen, Kim Sung Kyungpook Natl Univ, Dept Math, Daegu 41566, South Korea 34769667700 sgk317@knu.ac.kr; CARPATHIAN MATHEMATICAL PUBLICATIONS CARPATHIAN MATH PUBL 2075-9827 2313-0210 14 1 ESCI MATHEMATICS 2022 0.8 0.25 2025-06-25 0 1 smooth point; space of symmetric bilinear forms GEOMETRY smooth point; space of symmetric bilinear forms English 2022 2022 10.15330/cmp.14.1.20-28 바로가기 바로가기 바로가기 바로가기
Article SOME CLASS OF NUMERICAL RADIUS PEAK n-LINEAR MAPPINGS ON lp-SPACES For n≥ 2 and a real Banach space E, £(nE: E) denotes the space of all continuous n-linear mappings from E to itself. Let (Formula presented) For T€ £(nE: E), we define (Formula presented) where v(T) denotes the numerical radius of T. T is called numerical radius peak mapping if there is [x*, (x1,…, xn)]€ Π(E) such that Nr(T) = {±[x*, (x1,…, xn)]}. In this paper, we investigate some class of numerical radius peak mappings in L(nlp: lp) for 1 0. Defne T€ £(nlp: lp) by (Formula presented) In particular is proved the following statements: 1. If 1<p <+∞ then T is a numerical radius peak mapping if and only if there is jo€ ℕ such that (Formula presented) 2. If p = 1 then T is not a numerical radius peak mapping in £(n l: l). © S. G. Kim, 2022 Kim, S.G. Department of Mathematics, Kyungpook National University, Daegu, South Korea 34769667700 sgk317@knu.ac.kr; Matematychni Studii 1027-4634 57 1 0 2025-06-25 0 numerical radius peak mappings; numerical radius points English Final 2022 10.30970/ms.57.1.10-15 바로가기 바로가기
Conference paper Sound visualization based on mechanoluminescent diaphragms This preliminary study presents a sound wave visualization method using mechanoluminescent composite diaphragms made of mechanoluminescence particles (SAO). To visualize the acoustic wave, the concept of Cymatics is used to make the sound waves and vibrations observable (the human sense of vision), as it is the most discriminating human sense. The goal of this study is eventually to extract the frequency information from images captured by compact image sensors without fast Fourier transform (FFT) whereas most previous studies on sound visualization focus on a technique used to enhance the understanding of acoustical behaviors, such as reflection, diffraction, and interference. In this study, highly pressure-sensitive mechanoluminescent diaphragms will be fabricated and used to produce the images in response to audible sound excitation such as speech. This initial study will offer the potential application for new means of speech recognition principle because a systematic visual perception of the isolated speech words can be achieved using the proposed sound visualization method. © 2022 SPIE Lee, Hee-Beom; Shin, Ho Geun; Timilsina, Suman; Kim, Ji-Sik; Kim, Gi-Woo Department of Mechanical Engineering, Inha University, 22212, South Korea; School of Nano & Adv. Mater. Eng., Kyungpook National University, 37224, South Korea; School of Nano & Adv. Mater. Eng., Kyungpook National University, 37224, South Korea; School of Nano & Adv. Mater. Eng., Kyungpook National University, 37224, South Korea; Department of Mechanical Engineering, Inha University, 22212, South Korea 57149037900; 57215092476; 55844969100; 16444690100; 7403061989 Proceedings of SPIE - The International Society for Optical Engineering 0277-786X 12045 0.61 2025-06-25 1 mechanoluminescent composite diaphragms; Sound visualization; speech recognition Acoustic waves; Fast Fourier transforms; Image enhancement; Visualization; Acoustics waves; Audible sound; Composite diaphragm; Frequency information; Human sense; Mechanoluminescent composite diaphragm; Pressure sensitive; Sound excitation; Sound visualization; Visualization method; Speech recognition English Final 2022 10.1117/12.2612325 바로가기 바로가기
Proceedings Paper Space-time division multiplexing-based superfast spectral-domain optical coherence tomography up to 1 MHz A-scan rate Optical coherence tomography (OCT) is a high-resolution and non-invasive internal structural imaging technique. Since the first introduction of OCT, it has been widely studied to enhance the scanning speed of the system to enhance the applicability. Spectral-domain OCT (SD-OCT) is one of the representative types of Fourier-domain OCT, which consisted with lower prices than swept-source OCT and offers higher axial resolution, but there are limited hardware performance to improve the scanning speed. In this paper, we introduced the space-time division multiplexing (STDM) method-based superfast SD-OCT with 1 MHz A-scan rate. In terms of the time-division method, dual-cameras were implemented in a single spectrometer to reduce the alignment error between each camera and fully utilize the operating time of camera by remove the dead time. In addition, the path length difference of the two-sample arm is accurately controlled to utilize the space-division method. By concurrently integrating the time- and space-division methods in STDM with GPU parallel computing, 32 volume/sec was acquired. The quantitative evaluation of the performance of STDM-OCT was analyzed with sensitivity roll-off and image quality comparison measured at different depth. The proposed STDM-OCT is able to enlarge the application of OCT including biomedical research areas, which require a high-speed scanning system. Seong, Daewoon; Jeon, Deokmin; Wijesinghe, Ruchire Eranga; Park, Kibeom; Kim, Hyeree; Lee, Euimin; Jeon, Mansik; Kim, Jeehyun Kyungpook Natl Univ, Sch Elect & Elect Engn, 80 Daehak Ro, Daegu 41566, South Korea; Univ Sri Jayewardenepura, Fac Technol, Dept Mat & Mech Technol, Pitipana 10200, Homagama, Sri Lanka; Ulsan Natl Inst Sci & Technol, Dept Biomed Engn, Ulsan 44919, South Korea Kim, Jinhyun/AAK-3695-2020; Wijesinghe, Ruchire/K-3797-2016 57212512353; 57204570554; 56018152300; 56017776400; 57209102795; 57223052911; 24171094000; 7601373350 msjeon@knu.ac.kr; FRONTIERS IN ULTRAFAST OPTICS: BIOMEDICAL, SCIENTIFIC, AND INDUSTRIAL APPLICATIONS XXII 0277-786X 1996-756X 11991 0 2025-06-25 0 0 Superfast optical imaging system; Spectral-domain optical coherence tomography; Highspeed industrial inspection; Space-division multiplexing; Parallel processing OCT Highspeed industrial inspection; Parallel processing; Space-division multiplexing; Spectral-domain optical coherence tomography; Superfast optical imaging system Cameras; Coherent light; Imaging systems; Quality control; Scanning; Strain measurement; Time division multiplexing; Highspeed industrial inspection; Industrial inspections; Optical imaging system; Parallel processing; Scan rates; Space division multiplexing; Spacetime; Spectral domain optical coherence tomographies; Superfast optical imaging system; Time-division multiplexing; Optical tomography English 2022 2022 10.1117/12.2608236 바로가기 바로가기 바로가기
Proceedings Paper Spatio-temporal Weight of Active Region for Human Activity Recognition Although activity recognition in the video has been widely studied with recent significant advances in deep learning approaches, it is still a challenging task on real-world datasets. Skeleton-based action recognition has gained popularity because of its ability to exploit sophisticated information about human behavior, but the most cost-effective depth sensor still has the limitation that it only captures indoor scenes. In this paper, we propose a framework for human activity recognition based on spatio-temporal weight of active regions by utilizing human a pose estimation algorithm on RGB video. In the proposed framework, the human pose-based joint motion features with body parts are extracted by adopting a publicly available pose estimation algorithm. Semantically important body parts that interact with other objects gain higher weights based on spatio-temporal activation. The local patches from actively interacting joints with weights and full body part image features are also combined in a single framework. Finally, the temporal dynamics are modeled by LSTM features over time. We validate the proposed method on two public datasets: the BIT-Interaction and UT-Interaction datasets, which are widely used for human interaction recognition performance evaluation. Our method showed the effectiveness by outperforming competing methods in quantitative comparisons. Lee, Dong-Gyu; Won, Dong-Ok Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea; Hallym Univ, Dept Artificial Intelligence Convergence, Chunchon 24252, South Korea 57169003900; 56131784400 dglee@knu.ac.kr; PATTERN RECOGNITION, ACPR 2021, PT I 0302-9743 1611-3349 13188 0 2025-06-25 0 0 Human activity recognition; Human-human interaction; Spatio-temporal weight Human activity recognition; Human-human interaction; Spatio-temporal weight Behavioral research; Computer vision; Long short-term memory; Active regions; Activity recognition; Body parts; Human activity recognition; Human-human interactions; Learning approach; Pose estimation algorithm; Real-world datasets; Spatio-temporal; Spatio-temporal weight; Cost effectiveness English 2022 2022 10.1007/978-3-031-02375-0_7 바로가기 바로가기 바로가기
Proceedings Paper Speech Emotion Recognition using Context-Aware Dilated Convolution Network Deep learning-based speech emotion recognition has been applied for social living assistance, health monitoring, authentication, and other human-to-machine interaction applications. Because of the ubiquitous nature of the applications, computationally efficient and robust speech emotion recognition models are required. The nature of the speech signal requires tracking of time steps, analyzing long-term dependencies and the contexts of the utterances as well as the spatial cues. Recurrent neural networks like long short-term memory and gated recurrent units coupled with attention mechanisms are often used to consider long-term dependencies and context in the speech signal. However, they do not take care of the spatial cues that may exist in the speech signal. Moreover, the operation of most of these systems is sequential which causes slow convergence, and sluggish training. Therefore, we propose a model that employs dilated convolutions layers in combination with hybrid attention mechanisms. The model uses multi-head attention to extract the global context in the feature representations which are fed into the bidirectional long short-term memory configured with self-attention to further handle the context and long-term dependencies. The model uses spectral and voice quality features extracted from the raw speech signals as input. The proposed model achieves comparable performance in terms of F1 score and accuracy. The proposed model's performance is also presented in terms of confusion matrices. Kakuba, Samuel; Han, Dong Seog Kyungpook Natl Univ, Grad Sch Elect & Elect Engn, Daegu, South Korea; Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea Kakuba, Samuel/HLX-4856-2023 57988218000; 7403219442 2021327392@knu.ac.kr;dshan@knu.ac.kr; 2022 27TH ASIA PACIFIC CONFERENCE ON COMMUNICATIONS (APCC 2022): CREATING INNOVATIVE COMMUNICATION TECHNOLOGIES FOR POST-PANDEMIC ERA 2163-0771 3.82 2025-06-25 6 10 context-aware emotion recognition; multi-head attention; dilated convolution context-aware emotion recognition; dilated convolution; multi-head attention Brain; Convolution; Long short-term memory; Speech communication; Speech recognition; Attention mechanisms; Context-Aware; Context-aware emotion recognition; Dilated convolution; Emotion recognition; Long-term dependencies; Multi-head attention; Spatial cues; Speech emotion recognition; Speech signals; Emotion Recognition English 2022 2022 10.1109/apcc55198.2022.9943771 바로가기 바로가기 바로가기
Article Spontaneously sp²-Carbonized Fluorescent Polyamides as a Probe Material for Bioimaging Spontaneously sp(2)-carbonized polyamides (PA1, PA2) were prepared via Knoevenagel-type side reactions of malonyl moieties under mild conditions in the polycondensation of dicarbonyl chloride and diamine. Both polymers were soluble in water and emissive in the visible region, and the fluorescence (FL) intensity and the maximum wavelength were highly dependent on the excitation wavelength and the pH. Their chemical structures and FL origin were clarified by performing various spectroscopic analyses. pi*-pi transition was assumed to be allowed in an enol form based on the conjugated structure formed by the side reaction; this was responsible for its pH dependency and high FL quantum efficiency. In particular, PA2, which comprises the tertiary amide linkage, showed quick endocytosis, low cytotoxicity, excellent biocompatibility, and exclusively stained lysosomes with the lowest intracellular pH. These results will help in understanding the origin of the FL emission of carbonized nanomaterials and exploring more advanced functions in the field of bioimaging. Jin, Young-Jae; Kim, Hyojin; Jang, Woo-Dong; Park, Sang-Joon; Kwak, Giseop Kyungpook Natl Univ, Dept Polymer Sci & Engn, Polymer Nanomat Lab, Sch Appl Chem Engn, Daegu 702701, South Korea; Korea Res Inst Chem Technol KRICT, Reliabil Assessment Ctr Chem Mat, Daejeon 305600, South Korea; Daegu Technopk Nano Convergence Pract Applicat Ct, Daegu 704801, South Korea; Kyungpook Natl Univ, Coll Vet Med, Daegu 702701, South Korea; Yonsei Univ, Dept Chem, Seoul 03722, South Korea Jang, Woo-Dong/I-7186-2019; , Giseop/M-8370-2018 55307815700; 57202516002; 7101912490; 7501825941; 17137322300 wdjang@yonsei.ac.kr;gkwak@knu.ac.kr; ACS APPLIED BIO MATERIALS ACS APPL BIO MATER 2576-6422 5 6 ESCI MATERIALS SCIENCE, BIOMATERIALS;NANOSCIENCE & NANOTECHNOLOGY 2022 4.7 0 2025-06-25 0 0 polyamide; carbonization; lysosome tracker; cytotoxicity; biocompatibility NETWORK ALIPHATIC POLYESTER; WALLED CARBON NANOTUBES; GRAPHENE QUANTUM DOTS; ONE-STEP SYNTHESIS; PHOTOLUMINESCENCE MECHANISM; CANCER-THERAPY; PH; EMISSION; NANOPARTICLES; POLY(AMIDE-IMIDE) biocompatibility; carbonization; cytotoxicity; lysosome tracker; polyamide Fluorescent Dyes; Lysosomes; Nylons; Polymers; Water; Amides; Amines; Carbonization; Chlorine compounds; Fluorescence; Molecular biology; Polyamides; Spectroscopic analysis; fluorescent dye; nylon; polymer; water; Bio-imaging; Carbonisation; Condition; Dicarbonyl chlorides; Excitation wavelength; Fluorescence intensities; Lysosome tracker; Probe materials; Side reactions; Visible region; chemistry; lysosome; Biocompatibility English 2022 2022-05-09 10.1021/acsabm.2c00337 바로가기 바로가기 바로가기 바로가기
Proceedings Paper State of Charge Estimation Using Multi-layer Neural Networks Based On Temperature Lithium-ion batteries are generally used in electric vehicles, mobile phones, and lap-tops. Such batteries demonstrate advantages such as environmental-friendliness, high energy density, and long life. However, if not continuously monitored, battery overcharging and over-discharging may occur. Overcharging causes fire and explosion casualties, and overdischarging causes a reduction in the battery capacity and life. In addition, the internal resistance of such batteries varies depending on the external temperature of the batteries, and as the temperature decreases, the capacity of the batteries decreases as well. In this paper, we propose a method for estimating the state of charge (SOC) using a neural network model best suited for the external temperature of such batteries. Experimental data to verify the proposed method were obtained through a discharge experiment conducted using a vehicle-driving simulator. The experimental data were provided as inputs to multi-layer neural network (MNN). The MNN models were trained and optimized for specific temperatures measured during the experiment, and the SOC was estimated by selecting the most suitable model for a temperature. The experimental results revealed that such an estimation of the SOC was better than that using conventional methods. Wang, Donghun; Lee, Jonghyun; Kim, Minchan; Lee, Insoo Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea wkddlwu@naver.com;whdugs8428@knu.ac.kr;drex1206@naver.com;insoolee@knu.ac.kr; 2022 22ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2022) 2093-7121 0 Lithium-ion battery; State of Charge; Multi-layer Neural Network; Vehicle-Driving Simulator LITHIUM-ION BATTERY English 2022 2022 바로가기
Conference paper State of Charge Estimation Using Multi-layer Neural Networks Based On Temperature Lithium-ion batteries are generally used in electric vehicles, mobile phones, and lap-tops. Such batteries demonstrate advantages such as environmental-friendliness, high energy density, and long life. However, if not continuously monitored, battery overcharging and over-discharging may occur. Overcharging causes fire and explosion casualties, and overdischarging causes a reduction in the battery capacity and life. In addition, the internal resistance of such batteries varies depending on the external temperature of the batteries, and as the temperature decreases, the capacity of the batteries decreases as well. In this paper, we propose a method for estimating the state of charge (SOC) using a neural network model best suited for the external temperature of such batteries. Experimental data to verify the proposed method were obtained through a discharge experiment conducted using a vehicle-driving simulator. The experimental data were provided as inputs to multi-layer neural network (MNN). The MNN models were trained and optimized for specific temperatures measured during the experiment, and the SOC was estimated by selecting the most suitable model for a temperature. The experimental results revealed that such an estimation of the SOC was better than that using conventional methods. © 2022 ICROS. Wang, Donghun; Lee, Jonghyun; Kim, Minchan; Lee, Insoo Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, 41566, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, 41566, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, 41566, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, 41566, South Korea 57336497500; 57201265019; 58061974000; 54979862300 insoolee@knu.ac.kr;wkddlwu@naver.com; International Conference on Control, Automation and Systems 1598-7833 2022-November 0.27 2025-06-25 1 Lithium-ion battery; Multi-layer Neural Network; State of Charge; Vehicle-Driving Simulator Automobile simulators; Battery management systems; Charging (batteries); Multilayer neural networks; Network layers; Neural network models; Vehicles; Environmental friendliness; External temperature; Higher energy density; Long life; Multi-layer neural networks; Network-based; Neural network model; State-of-charge estimation; States of charges; Vehicle driving simulators; Lithium-ion batteries English Final 2022 10.23919/iccas55662.2022.10003902 바로가기 바로가기
Article Stretchable Sensor Array Based on Lead-Free Piezoelectric Composites Made of BaTiO3Nanoparticles and Polymeric Matrix Piezoelectric energy harvesting has attracted increasing attention over the last decade as a means for generating sustainable and longlasting energy from wasted mechanical energy. To develop self-powered wearable devices, piezoelectric materials should be flexible, stretchable, and bio-eco-friendly. This study proposed the fabrication of stretchable piezoelectric composites via dispersing perovskitestructured BaTiO3nanoparticles inside an Ecoflex polymeric matrix. In particular, the stretchable piezoelectric sensor array was fabricated via a simple and cost-effective spin-coating process by exploiting the piezoelectric composite comprising of BaTiO3nanoparticles, Ecoflex matrix, and stretchable Ag coated textile electrodes. The fabricated sensor generated an output voltage of ~4.3 V under repeated compressing deformations. Moreover, the piezoelectric sensor array exhibited robust mechanical stability during mechanical pushing of ~5,000 cycles. Finite element method with multiphysics COMSOL simulation program was employed to support the experimental output performance of the fabricated device. Finally, the stretchable piezoelectric sensor array can be used as a self-powered touch sensor that can effectively detect and distinguish mechanical stimuli, such as pressing by a human finger. The fabricated sensor demonstrated potential to be used in a stretchable, lead-free, and scalable piezoelectric sensor array. © 2022, Korean Sensors Society. All rights reserved. Bae, Jun Ho; Ham, Seong Su; Park, Sung Cheol; Park, Kwi-Il School of Materials Science and Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu, 41566, South Korea; School of Materials Science and Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu, 41566, South Korea; School of Materials Science and Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu, 41566, South Korea; School of Materials Science and Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu, 41566, South Korea 36900467300; 57220094093; 57191670545; 35280874200 kipark@knu.ac.kr; Journal of Sensor Science and Technology 1225-5475 31 5 0 2025-06-25 0 BaTiO<sub>3</sub> ; Energy harvesting; Piezoelectric; Sensor array; Stretchable Korean Final 2022 10.46670/jsst.2022.31.5.312 바로가기 바로가기
Conference paper Strong decay widths and mass spectra of charmed baryons The total decay widths of charmed baryons, including all the possible open-flavor decay channels, are calculated by means of the 3P0 model. Our calculations consider in the final states: the charmed baryon-(vector/pseudoscalar) meson pairs and the (octet/decuplet) baryon-(pseudoscalar/vector) charmed meson pairs, within a constituent quark model. Furthermore, we calculate the masses of the charmed baryon ground states and their excitations up to the D-wave in a constituent quark model both in the three-quark and in quark-diquark schemes. To do so, we utilize a Hamiltonian model based on a harmonic oscillator potential plus a mass splitting term that encodes the spin, spin-orbit, isospin, and flavor interactions. The parameters of the Hamiltonian model are fitted to experimental data of charmed baryon masses and decay widths. As the experimental uncertainties of the data affect the fitted model parameters, we have thoroughly propagated these uncertainties into our predicted charmed baryon masses and decay widths via a Monte Carlo bootstrap approach. Our quantum number assignments and predictions of mass and strong partial decay widths are in reasonable agreement with the available data. Thus, our results show the ability to guide future measurements in LHCb, Belle and Belle II experiments. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0) Ramirez-Morales, A. Center for High Energy Physics, Kyungpook National University, 80 Daehak-ro, Daegu, 41566, South Korea 59815765800 andres@knu.ac.kr; Proceedings of Science 1824-8039 414 1.66 2025-06-25 1 Bosons; Hadrons; Hamiltonians; Mass spectrometry; Quantum theory; Constituent quark model; Decay channels; Decay widths; Final state; Hamiltonian models; Harmonic oscillator potential; Mass spectra; Model-based OPC; Pseudoscalars; Splittings; Ground state English Final 2022 바로가기
Review Structural Controls on Crustal Fluid Redistribution and Hydrothermal Gold Deposits: A Review on the Suction Pump and Fault Valve Models Hydrothermal gold deposits are evidence of intensive fluid flow through fault zones, and the resultant vein structures and textures reflect the fluid redistribution mechanism. This review introduces the suction pump and fault valve models as fluid circulation mechanisms causing hydrothermal gold deposits in the frameworks of the concepts of fault mechanics. The suction pump and fault valve models describe faulting-driven heterogeneous fluid flow and related vein formation mechanisms, accompanied by the cycles of (1) stress accumulation and fluid pressure build-up and (2) seismic rupture and stress/fluid pressure release. The models are available under different geological environments (stress conditions), and the vein structures and textures representing the mechanisms have similarities and differences. The suction pump and fault valve models must help better to interpret the origins of hydrothermal gold deposits in Korea and improve the efficiency of further exploration. Kwak, Yujung; Park, Seung-Ik; Park, Changyun Kyungpook Natl Univ, Dept Geol, Daegu 41566, South Korea 57798903000; 55832472000; 56197393100 psi@knu.ac.kr; ECONOMIC AND ENVIRONMENTAL GEOLOGY ECON ENVIRON GEOL 1225-7281 2288-7962 55 2 ESCI GEOLOGY 2022 0.3 0.29 2025-06-25 5 6 Fault Reactivation; Hydrothermal Gold Deposit; Fluid Pressure; Suction Pump Model; Fault Valve Model REPUBLIC-OF-KOREA; STABLE ISOTOPE; VEIN DEPOSITS; MINING DISTRICT; SHEAR ZONES; MINERALIZATION; BEHAVIOR; PERMEABILITY; PRESSURE; BEARING Fault Reactivation; Fault Valve Model; Fluid Pressure; Hydrothermal Gold Deposit; Suction Pump Model Korean 2022 2022-04 10.9719/eeg.2022.55.2.183 바로가기 바로가기 바로가기 바로가기
Book chapter Structure and Dynamics of the Human Multi-tRNA Synthetase Complex Aminoacyl-tRNA synthetases (ARSs) are essential enzymes that ligate amino acids to their cognate tRNAs during protein synthesis. A growing body of scientific evidence acknowledges that ubiquitously expressed ARSs act as crossover mediators of biological processes, such as immunity and metabolism, beyond translation. In particular, a cytoplasmic multi-tRNA synthetase complex (MSC), which consists of eight ARSs and three ARS-interacting multifunctional proteins in humans, is recognized to be a central player that controls the complexity of biological systems. Although the role of the MSC in biological processes including protein synthesis is still unclear, maintaining the structural integrity of MSC is essential for life. This chapter deals with current knowledge on the structural aspects of the human MSC and its protein components. The main focus is on the regulatory functions of MSC beyond its catalytic activity. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Kim, Myung Hee; Kang, Beom Sik Infection and Immunity Research Laboratory, Metabolic Regulation Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea; School of Life Sciences, Kyungpook National University, Daegu, South Korea 57209778363; 35082104200 mhk8n@kribb.re.kr; Subcellular Biochemistry 0306-0225 99 1.74 2025-06-25 9 Aminoacyl-tRNA synthetase; MSC structure; Multi-tRNA synthetase complex (MSC); Non-canonical function; Protein synthesis Amino Acids; Amino Acyl-tRNA Synthetases; Humans; RNA, Transfer; amino acid; amino acid transfer RNA ligase; transfer RNA; chemistry; human; metabolism English Final 2022 10.1007/978-3-031-00793-4_6 바로가기 바로가기
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WoS Web of Science. Clarivate Analytics에서 제공하는 학술 데이터베이스입니다. 해당 논문이 WoS에 수록되어 있는지 여부를 표시합니다 (○: 수록됨).
SCOPUS Elsevier에서 제공하는 세계 최대 규모의 초록 및 인용 데이터베이스입니다. 해당 논문이 SCOPUS에 수록되어 있는지 여부를 표시합니다 (○: 수록됨).
Document Type 문헌의 유형을 나타냅니다. Article(원저), Review(리뷰), Proceeding Paper(학회논문), Editorial Material(편집자료), Letter(레터) 등으로 분류됩니다.
Title 논문의 제목입니다.
Abstract 논문의 초록(요약)입니다. 연구의 목적, 방법, 결과, 결론을 간략히 요약한 내용입니다.
Authors 논문의 저자 목록입니다. 공동 저자가 여러 명인 경우 세미콜론(;)으로 구분됩니다.
Affiliation 저자들의 소속 기관 정보입니다. 대학, 연구소, 기업 등 저자가 소속된 기관명이 표시됩니다.
ResearcherID (WoS) Web of Science의 고유 연구자 식별번호입니다. 동명이인을 구분하고 연구자의 업적을 정확하게 추적할 수 있습니다.
AuthorsID (SCOPUS) SCOPUS의 고유 저자 식별번호입니다. 연구자의 모든 출판물을 추적하고 관리하는 데 사용됩니다.
Journal 논문이 게재된 학술지의 정식 명칭입니다.
JCR Abbreviation Journal Citation Reports에서 사용하는 저널의 공식 약어입니다. 저널을 간략하게 표기할 때 사용됩니다.
ISSN International Standard Serial Number. 국제표준연속간행물번호로, 인쇄본 저널에 부여되는 고유 식별번호입니다.
eISSN Electronic ISSN. 전자 버전 저널에 부여되는 고유 식별번호입니다.
Volume 저널의 권(Volume) 번호입니다. 보통 연도별로 하나의 권이 부여됩니다.
Issue 저널의 호(Issue) 번호입니다. 한 권 내에서 여러 호로 나누어 출판되는 경우가 많습니다.
WoS Edition Web of Science의 에디션입니다. SCIE(Science Citation Index Expanded), SSCI(Social Sciences Citation Index), AHCI(Arts & Humanities Citation Index) 등으로 구분됩니다.
WoS Category Web of Science의 주제 분류 카테고리입니다. 저널과 논문이 속한 학문 분야를 나타냅니다.
JCR Year 해당 저널의 JCR(Journal Citation Reports) 지표가 산출된 연도입니다.
IF (Impact Factor) 저널 영향력 지수. 최근 2년간 발표된 논문이 해당 연도에 평균적으로 인용된 횟수를 나타냅니다. 저널의 학술적 영향력을 나타내는 대표적인 지표입니다.
JCR (%) 해당 카테고리에서 저널이 위치하는 상위 백분율입니다. 값이 낮을수록 우수한 저널임을 의미합니다 (예: 5%는 상위 5%를 의미).
FWCI Field-Weighted Citation Impact. 분야별 가중 인용 영향력 지수입니다. 논문이 받은 인용을 동일 분야, 동일 연도, 동일 문헌 유형의 평균과 비교한 값입니다. 1.0이 평균이며, 1.0보다 높으면 평균 이상의 인용을 받았음을 의미합니다.
FWCI UpdateDate FWCI 값이 마지막으로 업데이트된 날짜입니다. FWCI는 인용이 누적됨에 따라 주기적으로 업데이트됩니다.
WOS Citation Web of Science에서 집계된 해당 논문의 총 인용 횟수입니다.
SCOPUS Citation SCOPUS에서 집계된 해당 논문의 총 인용 횟수입니다.
Keywords (WoS) 저자가 논문에서 직접 지정한 키워드입니다. Web of Science에 등록된 저자 키워드 목록입니다.
KeywordsPlus (WoS) Web of Science에서 자동으로 추출한 추가 키워드입니다. 논문의 참고문헌 제목에서 자주 등장하는 단어들로 생성됩니다.
Keywords (SCOPUS) 저자가 논문에서 직접 지정한 키워드입니다. SCOPUS에 등록된 저자 키워드 목록입니다.
KeywordsPlus (SCOPUS) SCOPUS에서 자동으로 추출하거나 추가한 색인 키워드입니다.
Language 논문이 작성된 언어입니다. 대부분 English이며, 그 외 다양한 언어로 작성된 논문이 포함될 수 있습니다.
Publication Year 논문이 출판된 연도입니다.
Publication Date 논문의 정확한 출판 날짜입니다 (년-월-일 형식).
DOI Digital Object Identifier. 디지털 객체 식별자로, 논문을 고유하게 식별하는 영구적인 식별번호입니다. 이를 통해 논문의 온라인 위치를 찾을 수 있습니다.