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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
Proceedings Paper A Haar Classifier Accelerator with Reduced Multiplexer Usage A Haar classifier accelerator is widely used in embedded vision systems because it can detect faces rapidly and accurately. However, implementing the Haar classifier accelerator requires considerable hardware resources, many of which are multiplexers used to extract integral values within a sub-window. Therefore, to decrease the multiplexer usage in the Haar classifier accelerator, we propose a method that reduces the sub-window size by excluding some rows and columns of the sub-window from integral value extraction. The proposed method considerably reduces the multiplexer usage than that of the conventional method while maintaining the detection rate and the number of false detections. Lee, SangHyun; Moon, Byungin Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea; Kyungpook Natl Univ, Sch Elect Engn, Daegu, South Korea Moon, Byungin/ACE-5308-2022 57423689200; 55419717700 dycjd2001@knu.ac.kr;bihmoon@knu.ac.kr; 18TH INTERNATIONAL SOC DESIGN CONFERENCE 2021 (ISOCC 2021) 2163-9612 0 2025-07-30 0 0 face detection; Haar classifier accelerator; FPGA face detection; FPGA; Haar classifier accelerator Embedded systems; Field programmable gate arrays (FPGA); Multiplexing equipment; Conventional methods; Detection rates; Embedded visions; Faces detection; Haar classifier accelerator; Haar classifiers; Hardware resources; Integral values; Vision systems; Window Size; Face recognition English 2021 2021 10.1109/isocc53507.2021.9613971 바로가기 바로가기 바로가기
Article A Hangul Sebeolsik(3-Layer) 23-Keys Phoneme/Syllable Chorded Keys Computer Keyboard for Easy Fingering: Ahnmatae Keyboard Improvement For high speed key in, it must be entered in syllable units like the shorthand method. In this study, fingering was made easier by reducing the number of keys on the existing Ahnmatae keyboard, which is a syllable unit input method, from 30 to 23 and adjusting the key arrangement for each phoneme. That is, the Ahnmatae keyboard was improved. Hangul's 8 initial consonant keys, 8 neutral vowel keys, and 7 final consonant keys were placed. It was designed with 23 single-key phonemes and 44 two-keys combination phoneme chorded key phonemes. The number of keys to be pressed at the same time to key in a single syllable, that is, the number of syllable chorded keys is 2 to 6. Existing was 2 to 8. The key input weight effort index obtained by applying the phoneme use frequency was 1.60ue(unit effort). Existing was 1.92ue. The entropy value of the phoneme use frequency was 1.46nat. The weight effort index to entropy ratio obtained from this entropy value and the weight effort index value was 1.10ue/nat. Existing was 1.32ue/nat. The actual operation was implemented by setting the Nalgaeset which is a keyboard design software, and using the N key roll-over keyboard. © 2021, Korean Institute of Communications and Information Sciences. All rights reserved. Song, Jae-Won Kyungpook National University, School of Electronics Engineering, South Korea 7404787965 jwsong@knu.ac.kr; Journal of Korean Institute of Communications and Information Sciences 1226-4717 46 2 0 2025-07-30 0 23-keys keyboard; Ahnmatae keyboard improvement; easy fingering; efficiency analysis; Hangul sebeolsik(3-layer); high speed key in; phoneme/syllable chorded keys Korean Final 2021 10.7840/kics.2021.46.2.257 바로가기 바로가기
Proceedings Paper A Hybrid Discrete Differential Evolution Approach for the Single Machine Total Stepwise Tardiness Problem with Release Dates In this paper, a novel hybrid discrete differential evolution based approach is proposed to address a single machine scheduling problem where each job has a release date and the tardiness cost of the job increases stepwise with respect to various due dates. In the literature, this problem is termed as the single machine total stepwise tardiness problem with release dates (SMTSTP-R). The objective of the problem is to find a schedule of jobs which minimizes the total tardiness cost. The stepwise increase in tardiness cost is more prevalent in several real life scenario, especially in transportation. We have used two constructive heuristics and concept of opposition based solutions to generate initial population. Our proposed approach uses a series of local searches to further enhance the quality of solutions obtained by the proposed discrete differential evolution approach. In order to justify the superiority of proposed approach, various comparisons are done with the existing approaches available in the literature. The results of these comparisons validate the superiority of our approach in comparison to the existing state-of-the-art approaches. Srivastava, Gaurav; Singh, Alok; Mallipeddi, Rammohan Univ Hyderabad, Sch Comp & Informat Sci, Hyderabad 500046, India; Kyungpook Natl Univ, Sch Elect Engn, Dept AI, Daegu 41566, South Korea ; Srivastava, Dr. Gaurav/LBH-5030-2024; Mallipeddi, Rammohan/AAL-5306-2020 56597524700; 35254330000; 25639919900 gauravsrignp@gmail.com;alokcs@uohyd.ernet.in;mallipeddi.ram@gmail.com; 2021 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC 2021) 1.28 2025-07-30 4 4 Discrete differential evolution; Discrete optimization; Scheduling; Single machine total stepwise tardiness problem with release dates N-JOB; ALGORITHM Discrete differential evolution; Discrete optimization; Scheduling; Single machine total stepwise tardiness problem with release dates Evolutionary algorithms; Job shop scheduling; Discrete differential evolutions; Discrete optimization; Due dates; Evolution-based approach; Release date; Single machine scheduling problems; Single machine total stepwise tardiness problem with release date; Single- machines; Tardiness cost; Total tardiness; Scheduling algorithms English 2021 2021 10.1109/cec45853.2021.9504914 바로가기 바로가기 바로가기
Article A Low-Complexity Symbol Detection Scheme for LoRa Signals For the widespread use of Internet of Things (IoT) devices, a low-power low-cost implementation is important for the IoT communications. In order to achieve this goal, in this letter, we consider the problem of symbol detection for LoRa, which is one of the most widely-used low power wide area (LPWA) technologies for IoT. Especially for achieving long battery life and low implementation cost for IoT devices, a low complexity symbol detection algorithm is proposed for the LoRa modulated signals. In order to evaluate the performance of the proposed scheme, compared to the conventional fast Fourier transform (FFT) based symbol detection, we show that the proposed scheme effectively reduces the computational complexity while achieving the optimal performance for symbol detection. © 2021, Korean Institute of Communications and Information Sciences. All rights reserved. Lim, Dong-Woo; Kang, Jae-Mo; Kang, Kyu-Min Electronics and Telecommunications Research Institute, South Korea; Kyungpook National University, South Korea; Electronics and Telecommunications Research Institute, South Korea 55694295300; 56024930400; 7402223603 window0508@etri.re.kr; Journal of Korean Institute of Communications and Information Sciences 1226-4717 46 5 0 2025-07-30 0 Internet of Things (IoT); LoRa; symbol detection English Final 2021 10.7840/kics.2021.46.5.802 바로가기 바로가기
Article A Lower Bound on the Capacity of MIMO Channels with One-Bit ADCs One-bit ADC has been studied as a useful solution to resolve inherent problems in massive multiple-input and multiple-output (MIMO) systems and mmWave communications in 5G and beyond 5G standards. However, the capacity of a MIMO channel using one-bit ADCs is not known in an explicit form. As an alternative, upper and lower bounds have been derived in the literature. In this study, we consider a zero-forcing-based algorithm to provide a closer lower bound for the capacity of a MIMO channel with one-bit ADCs. © 2021, Korean Institute of Communications and Information Sciences. All rights reserved. Min, Moonsik Kyungpook National University, School of Electronics Engineering, South Korea 55386299100 msmin@knu.ac.kr; Journal of Korean Institute of Communications and Information Sciences 1226-4717 46 8 0 2025-07-30 0 channel capacity; MIMO; mutual information; One-bit ADC; zero-forcing beamforming Korean Final 2021 10.7840/kics.2021.46.8.1254 바로가기 바로가기
Article A Meta Analysis of Impulsivity Related to Self-destructive Behavior in Korean Adolescents Purpose: The purpose of this study is to determine the results of a meta-analysis of impulsivity variables related to self-destructive behavior of South Korean adolescents. Methods: A meta-analysis was carried out according to the Cochrane guidelines criteria and the quality of the studies was evaluated using the JBI checklist. 2,333 studies were collected through the databases of RISS, KISS, and DBpia on ‘impulsivity’ published from 2000 to 2020. Self-destructive behavior-related variables were largely categorized into three areas (addiction, violence, and delinquency), and six subgroups. Results: Using the correlations with impulsivity in the final 53 papers, 231 self-destructive behavior-related variables were identified. The social delinquency showed the closest relationship with impulsivity (ES=0.34, 95% CI: 0.23~0.43, p<.001), followed by addictive behavior (ES=0.28, 95% CI: 0.24~0.32, p<.001), personal delinquency (ES=0.28, 95% CI: 0.23~0.32, p<.001), violence against others, violence against self, and substance addiction. These effects were identified as ranging from magnitudes of 0.23 to 0.27 based on the criteria of Cohen. Conclusion: To improve the reliability of the results of meta-analysis, more studies on the impulsivity of adolescents should be carried out so that the results can be accumulated, and the effectiveness can be examined in-depth later. © 2021 Korean Academy of Community Health Nursing Wanju, Park; Shinjeong, Park; Moonji, Choi; Kyengjin, Kim College of Nursing, Kyungpook National University, Daegu, South Korea; College of Nursing, Kyungpook National University, Daegu, South Korea; Department of Nursing, Kyungil University, Gyeongsan, South Korea; Department of Nursing, Kyungil University, Gyeongsan, South Korea 35788492900; 57347984800; 57347829400; 57226488036 kkj0908@kiu.kr; Journal of Korean Academy of Community Health Nursing 1225-9594 32 3 0 2025-07-30 0 Adolescent; Impulsive behavior; Meta-analysis; Self-destructive behavior English Final 2021 10.12799/jkachn.2021.32.3.325 바로가기 바로가기
Article A method of counting vehicle with high accuracy using YOLO v3 A method for counting the running and queuing vehicles through installed traffic surveillance cameras at intersections has been studied for a long time. Recent research via deep learning has shown many breakthroughs with high performance results that were not achieved with traditional machine learning algorithms. In the field of object detection, these algorithms have shown high accuracy in real traffic environments, but have relatively low accuracy concerning small vehicles over a long distance, the number of which is required in counting queuing vehicles. In this paper, we are proposing a method to improve detection performance by optimizing the size of the CNN network and the size of the input image by using an open source-based, deep learning framework, YOLO, to increase the detection accuracy of small vehicles over a long distance. This study aims to improve the accuracy of vehicle counting by as much as 4.6 % over the existing method. Copyright © 2021 KSAE/184-10 Lee, Tae-Hee; Park, Young-Seok; Kim, Young-Mo; Choi, Doo-Hyun Test and Evaluation Department, Korea Intelligent Automotive Parts Promotion Institute, 201 Gukgasandanseo-ro, Guji-myeon, Dalseong-gun, Daegu, 43011, South Korea; MJVisionTech, 40 Yeonam-ro, Buk-gu, Daegu, 41542, South Korea, Shcool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea; Shcool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea; Shcool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea 57205691542; 57222576170; 7410206387; 7401642881 dhc@ee.knu.ac.kr; Transactions of the Korean Society of Automotive Engineers 1225-6382 29 3 0.08 2025-07-30 1 Convolutional neural network traffic surveillance data; Deep learning; Vehicle detection; YOLO(You Only Look Once) Korean Final 2021 10.7467/ksae.2021.29.3.283 바로가기 바로가기
Article A method of measuring wood failure percentage of wood specimens bonded with melamine-urea-formaldehyde resins using image analysis Transparent and colorless melamine-urea-formaldehyde (MUF) resins make it difficult to identify the area of wood failure percentage (WFP) in the fracture surface of bonded wood specimens. Therefore, in this study, we develop a method of measuring WFP after the adhesion strength measurement of MUF resins under shear stress. The fractured wood surface of block shear strength (BSS) specimens bonded with cold-setting MUF resins at three melamine contents (20%, 30%, and 40%) was marked black, and then, WFP was accurately measured via image analysis. WFP values measured using this method consistently increased with BSS as the melamine content increased, showing the reliability of this new method. The results suggested that this new method is useful and reliable for measuring the WFP of the fracture surface of wood specimens bonded with colorless adhesives such as urea-formaldehyde, MUF, and melamine-formaldehyde resins. © 2021, Korean Society of Wood Science Technology. All rights reserved. Kim, Minseok; Park, Byung-Dae Department of Wood and Paper Science, Kyungpook National University, Daegu, 41566, South Korea; Department of Wood and Paper Science, Kyungpook National University, Daegu, 41566, South Korea 59076211400; 7402834820 byungdae@knu.ac.kr; Journal of the Korean Wood Science and Technology 1017-0715 49 3 0.24 2025-07-30 4 Block shear strength; Image analysis; MUF resins; Wood failure percentage Adhesives; Formaldehyde; Fracture; Image Analysis; Metabolism; Shear Stress; Adhesives; Formaldehyde; Fracture; Image analysis; Melamine formaldehyde resins; Metabolism; Shear stress; Synthetic resins; Urea; Wood; Block shear strengths; Fracture surfaces; Melamine urea formaldehydes; Melamine-urea-formaldehyde resin; Urea formaldehyde; Wood failure; Wood specimens; Wood surfaces; Urea formaldehyde resins English Final 2021 10.5658/wood.2021.49.3.274 바로가기 바로가기
Proceedings Paper A Multi-scale Capsule Network for Improving Diagnostic Generalizability in Breast Cancer Diagnosis Using Ultrasonography Recently, deep learning has shown promising results in medical image processing. However, computer-aided diagnosis (CAD) systems based on deep learning still struggle for the real-world deployment, due to its low generalizability and reliability. It is essential to improve the generalization performance to enable them to be used routinely in clinical practice. In this paper, we propose a capsule network with a multi-scale setting to achieve better generalization performance in the differential diagnosis of breast tumors using ultrasonography. The proposed network utilizes a Gaussian pyramid to learn multi-scale features of breast tumors and dynamic routing to improve its robustness against image quality with severe noises. To evaluate the generalizability of the proposed method, we collected breast ultrasound images from 4 different hospitals and used one dataset from 1 hospital as a train set and the rest as external validation sets. We compared the classification performance with other networks, which were employed for the ultrasound diagnosis in previous studies, on the external validation sets. We also conducted additional experiments: feature space visualization and robustness evaluation study with respect to the image noise. Our model showed better classification results than other networks, such as GoogLeNet and Inception-v3, in the external validation. Experimental results also indicate that the proposed network can learn more robust and noise-invariant features from breast ultrasound imaging. Kim, Chanho; Kim, Won Hwa; Kim, Hye Jung; Kim, Jaeil Kyungpook Natl Univ, 80 Daehak ro, Daegu, South Korea; Kyungpook Natl Univ, Chilgok Hosp, 807 Hoguk ro, Daegu, South Korea 57216946967; 59443634400; 57203506201; 57211615348 threeyears@gmail.com; PREDICTIVE INTELLIGENCE IN MEDICINE, PRIME 2021 0302-9743 1611-3349 12928 0.27 2025-07-30 1 1 Computer-aided diagnosis; Capsule network; Generalizability; Breast cancer; Ultrasonography Breast cancer; Capsule network; Computer-aided diagnosis; Generalizability; Ultrasonography Computer aided analysis; Computer aided instruction; Deep learning; Diseases; Hospitals; Image enhancement; Medical imaging; Tumors; Ultrasonography; Breast Cancer; Breast cancer diagnosis; Breast tumour; Capsule network; Generalizability; Generalization performance; Learn+; Medical images processing; Multi-scales; Validation sets; Computer aided diagnosis English 2021 2021 10.1007/978-3-030-87602-9_17 바로가기 바로가기 바로가기
Article A NOTE ON DEGENERATE LAH-BELL POLYNOMIALS ARISING FROM DERIVATIVES Recently, Kim-Kim introduced Lah-Bell polynomials and numbers, and inves-tigated some properties and identities of these polynomials and numbers. Kim studiedLah-Bell polynomials and numbers of degenerate version. In this paper, we study degener-ate Lah-Bell polynomials arising from differential equations. Moreover, we investigate thephenomenon of scattering of the zeros of these polynomials © 2021. Kyungnam University Press Piao, Xiangfan; Kim, Yunjae; Kwon, Jongkyum Department of Mathematics, Kyungpook National University, Daegu, 41566, South Korea; Department of Mathematics, Kyungpook National University, Daegu, 41566, South Korea; Department of Mathematics Education, Gyeongsang National University, Jinju, 52828, South Korea 54906916500; 57204477406; 55000770500 mathkjk26@gnu.ac.kr; Nonlinear Functional Analysis and Applications 1229-1595 26 4 0 2025-07-30 0 Lah number; Lah-bell polynomials; Roots distributions; Stirling numbers of first(second) kinds English Final 2021 10.22771/nfaa.2021.26.04.06 바로가기 바로가기
Conference paper A novel reversal method for measurement of rotary manipulator geometric errors We develop a novel method to measure six geometric errors (two position-independent geometric errors and four position-dependent geometric errors) of a rotary manipulator; we use two displacement sensors and one measurement target to this end. To enhance measurement accuracy, the method initially removes setup errors that distort the sensor data and then models the geometric errors using an nth-order polynomial equation exhibiting C1-continuity. The data are used to define the relative positions of the reference and measurement co-ordinate systems using a homogeneous transform matrix. The geometric errors of a rotary manipulator are measured using the least squares method to exploit the linear relationship between the errors and the measurement target profile. We validate our method via simulation and assess measuring uncertainties with consideration of measurement noise. © 2021 ACM. Lee, Jae-Chang; Lee, Kwang-Il; Kim, Chang-Hwan; Yang, Seung-Han Yeungnam University College, 170 Hyeonchng-ro, Nam-gu, Daegu, South Korea; Kyungil University, 50, Gamasil-gil, Hayang-eup, Gyeongsan-si, Gyeongbuk, South Korea; Yeungnam University College, 170 Hyeonchng-ro, Nam-gu, Daegu, South Korea; Kyungpook National University, 1370, Sangyeok-dong, Daegu, South Korea 55260415200; 57196250383; 57305396600; 8407949900 ACM International Conference Proceeding Series 0 2025-07-30 0 geometric error; parametric modeling; reversal method; rotary manipulator Errors; Geometry; Least squares approximations; Polynomials; Uncertainty analysis; Displacement sensor; Geometric errors; Measurement accuracy; Measurements of; Novel methods; Parametric models; Position dependents; Reversal methods; Rotary manipulator; Setup errors; Manipulators English Final 2021 10.1145/3471985.3472370 바로가기 바로가기
Article A Numerical Study for Meniscus Vortices Induced by Mold Flow Instabilities The vortex core has a very strong intensity for entraining the gas in the rotating center by angular momentum conservation. Particularly, slag can be entrained into the molten steel when the meniscus vortex occurs in the mold process of the continuous casting. The entrained slag can cause serious surface defects, such as the scab and blister, in the produced steel products. The meniscus vortex accompanies a large deformation of free surface, such as vortex dimples or vortex cores. However, the free surface deformation has not been considered in the earlier studies for the meniscus vortex. We numerically investigated the meniscus vortex in the mold using a multiphase model based on a laminar model. Therefore, the proposed model successfully reproduced the important physics such as the meniscus instability, transient behavior of recirculation roll cells, biased flow, and meniscus vortex. Pak, Seong Bae; Lee, Jong Hui; Park, Il Seouk Kyungpook Natl Univ, Dept Mech Engn, Daegu, South Korea Lee, Jong Hui/JFT-0292-2023 einstein@knu.ac.kr; TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS B T KOR SOC MEC ENG B 1226-4881 45 9 ESCI ENGINEERING, MECHANICAL 2021 N/A 0 Meniscus Deformation; Vortex Core; Flow Asymmetry; Recirculation Roll Cell CONTINUOUS-CASTING MOLD; STEEL/SLAG INTERFACE; CORE PHENOMENON; WATER-MODEL; FIELD; VORTEX; TANK Korean 2021 2021-09 10.3795/ksme-b.2021.45.9.479 바로가기 바로가기 바로가기
Article A Perspective on the Impact of COVID-19 Pandemic on Basic Science Research and its Future Implications COVID-19 has emerged as a devastating pandemic of the century that the current genera-tions have ever experienced. The COVID-19 pandemic has infected more than 12 million people around the globe, and 0.5 million people have succumbed to death. Due to the lack of effective vaccines against the COVID-19, several nations throughout the globe have imposed a lock-down as a preventive measure to lower the spread of COVID-19 infection. As a result of lock-down, most of the universities and research institutes have witnessed a long pause in basic science research ever. Much has been discussed about the long-term impact of COVID-19 on the economy, tourism, public health, small and large-scale businesses of several kinds. However, the long-term effects of the shut-down of these research labs and their impact on basic science research has not been much focused. Herein, we provide a perspective that portrays a common problem of all the basic science researchers throughout the globe and its long-term consequences. © 2021 Bentham Science Publishers. Paudel, Yam Nath; Angelopoulou, Efthalia; Giri, Bhupendra Raj; Piperi, Christina; Oth-Man, Iekhsan; Shaikh, Mohd. Farooq Neuropharmacology Research Strength, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, 47500, Malaysia; Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, Athens, Greece; College of Pharmacy & Research Institute of Pharmaceutical Sci-ences, Kyungpook National University, Daegu, 41566, South Korea; Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Neuropharmacology Research Strength, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, 47500, Malaysia, Liquid Chromatography-Mass Spectrometry (LCMS) Platform, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, 47500, Malaysia; Neuropharmacology Research Strength, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, 47500, Malaysia 57193202574; 57190245158; 57210211620; 55933526500; 7003651966; 37034995600 yam.paudel@monash.edu; Coronaviruses 2666-7967 2 8 0 2025-07-30 0 basic science; COVID-19; lock-down; pandemic; research; SARS-CoV-2 English Final 2021 10.2174/2666796701999201223161636 바로가기 바로가기
Article A Phenomenological Study on the Lived Experiences of Patients Recovered from COVID-19 Purpose: This descriptive phenomenological study explored the lived experiences of patients recovering from Coronavirus Disease-2019 (COVID-19). Methods: Using a purposive sampling method, participants were recruited from the Korean Psychological Association’s Mental Health and Wellness Center in G city, South Korea, from May 5 to December 30, 2020. The interviews were analyzed using Colaizzi’s seven-step method. Data saturation was reached after interviewing 14 participants. Results: The experiences of patients recovering from COVID-19 were clustered into 4 main themes and 10 subthemes:, namely, the patients’ 1) stigmatization, leading to anxiety, fatigue, and concern about neighbors; 2) negative emotions: anger and helplessness; 3) coping strategies under pressure: increased gratitude, self-reflection, and self-efficacy; and 4) ways of overcoming internalized stigma: personal growth and hope for the future. Discussion: The results suggest that the positive and negative emotions of patients recovering from COVID-19 are interwoven and coexist against the background of the pandemic. Improvement of social networks, development of coping skills, and psychological growth play an important role in alleviating the psychological burden of recovering patients. © 2021 Korean Society of Adult Nursing. All Rights Reserved. Kim, Hee Sook; Park, Jae Wan Professor, College of Nursing, The Research Institute of Nursing Science, Kyungpook National University, Daegu, South Korea; Graduate Student, College of Nursing, Graduate School, The Research Institute of Nursing Science, Kyungpook National University, Daegu, South Korea 58668801200; 57322140800 Korean Journal of Adult Nursing 1225-4886 33 6 0.47 2025-07-30 3 COVID-19; Pandemic; Psychology; Qualitative research English Final 2021 10.7475/kjan.2021.33.6.556 바로가기 바로가기
Conference paper A Practical Implementation of the Ternary Logic Using Memristors and MOSFETs Due to the impotent forecasts of binary systems, ternary systems are regaining attention. Among many ternary devices, a passive device called memristor that is based on resistance switching is considered a good candidate when integrated with MOSFETs. Therefore, in this paper, we design ternary logic based on memristors and MOSFETs. We highlight the design issues that should be resolved (e.g., signal distortion and high static current) and present practical solutions. To the best of the authors' knowledge, we present 15 novel ternary logic cells and circuitry that include the design of the first balanced ternary full adder (TFA). By our TFA, we visualize that it is possible to design the most practical ternary circuits using memristors and MOSFETs. Our TFA uses 97 transistors and 87 memristors, which is the most reasonable TFA design that has the highest potential to be implemented in the near future. © 2021 IEEE. Yang, Jeonggyu; Lee, Hyundong; Jeong, Jae Hoon; Kim, Tae Hak; Lee, Sin-Hyung; Song, Taigon School of Electronic and Electrical Engineering, Kyungpook National University (KNU), Daegu, 41566, South Korea; School of Electronics Engineering, Kyungpook National University (KNU), Daegu, 41566, South Korea; School of Electronics Engineering, Kyungpook National University (KNU), Daegu, 41566, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University (KNU), Daegu, 41566, South Korea; School of Electronics Engineering, Kyungpook National University (KNU), Daegu, 41566, South Korea; School of Electronics Engineering, Kyungpook National University (KNU), Daegu, 41566, South Korea 57221952581; 57226892881; 57226881576; 57225038681; 57226880204; 36005021000 Proceedings of The International Symposium on Multiple-Valued Logic 0195-623X 2021-May 4.56 2025-07-30 13 memristor; ternary full-adder; ternary logic Logic devices; Many valued logics; Memristors; MOSFET devices; Binary systems; Design issues; On-resistance; Passive devices; Practical solutions; Static currents; Ternary circuits; Ternary logic; Computer circuits English Final 2021 10.1109/ismvl51352.2021.00039 바로가기 바로가기
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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.