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WoS SCOPUS Document Type Document Title Abstract Authors Affiliation ResearcherID (WoS) AuthorsID (SCOPUS) Author Email(s) Journal Name JCR Abbreviation ISSN eISSN Volume Issue WoS Edition WoS Category JCR Year IF JCR (%) FWCI FWCI Update Date WoS Citation SCOPUS Citation Keywords (WoS) KeywordsPlus (WoS) Keywords (SCOPUS) KeywordsPlus (SCOPUS) Language Publication Stage Publication Year Publication Date DOI JCR Link DOI Link WOS Link SCOPUS Link
Article A Case of Sensorineural Hearing Loss Caused by Neurosyphilis in Patient Who Is Treated by Anti-Interleukin 17A Monoclonal Antibody Syphilis is a sexually transmitted disease caused by Treponema pallidum, which can invade various organs. Syphilis can also cause otologic symptoms such as hearing impairment, tinnitus or dizziness and these otologic symptoms can occur at any stage of syphilis and can be associated with neurosyphilis. We report here a case of rapid progressive neurosyphilis showing hearing impairment in a patient with ankylosing spondylitis. He was treated with anti-interleukin 17A monoclonal antibody. Since syphilis is one of the causes of reversible sensorineural hearing loss and syphilis infection with immunosuppression can cause progressive hearing loss if patients in immunomodulatory therapy have sensorineural hearing loss, the possibility of syphilis should be considered. Copyright© 2022 Korean Society of Otorhinolaryngology-Head and Neck Surgery. Kim, Dong Gyu; Jung, Da Jung; Oh, Min Ji; Lee, Kyu-Yup Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Kyungpook National University, Daegu, South Korea 57226412874; 57220970862; 57877906400; 22135779500 kylee@knu.ac.kr; Korean Journal of Otorhinolaryngology-Head and Neck Surgery 2092-6529 65 8 0 2025-06-25 0 Interleukin 17A; Neurosyphilis; Senorineural hearing loss; Syphilis Korean Final 2022 10.3342/kjorl-hns.2021.01081 바로가기 바로가기
Article A Case Study of Digital Transformation: Focusing on the Financial Sector in South Korea and Overseas This study investigates the adoption and application of digital transformation in the financial sector and analyzes the process and outcomes of digitization and digitalization in the field of the finance industry of South Korea and overseas, in order to seek both managerial and strategic implications for successful implementation of digital transformation in the future. The findings show that, for successful digital transformation, it is necessary to maximize active and systematic use of advanced online and digital technologies that form the basis of business and create an open, horizontal organizational culture and communication system to equally share and distribute advanced technologies and competencies through the entire organization. Furthermore, this study also discovers the legitimacy to concentrate the organizational competencies and know-how in providing technical training for members, expanding customer experience, and improving customer satisfaction services to contribute to improving the quality of life for members of the organization and creating and improving social and public infrastructures, instead of using digital transformation only to improve productivity of organizations or firms. As such, it is necessary to concentrate corporate competencies in establishing and supplying digital transformation that is not just human-centered but also has productivity, innovativeness, and reliability at the same time. © 2022,Asia Pacific Journal of Information Systems. All Rights Reserved. Kim, Eunchan; Kim, Minjae; Kyung, Yeunwoong Department of Intelligence and Information, Seoul National University, South Korea; College of Economics and Business Administration, Kyungpook National University, South Korea; Division of Information & Communication Engineering, Kongju National University, South Korea 57833221100; 57972140700; 54395780100 ywkyung@kongju.ac.kr; Asia Pacific Journal of Information Systems 2288-5404 32 3 1.83 2025-06-25 16 Advanced digital technologies; Digital transformation in financial sector; Industry 4.0; Strategies for digital transformation English Final 2022 10.14329/apjis.2022.32.3.537 바로가기 바로가기
Proceedings Paper A Compact Printed Dual-Band (915MHz/2.4GHz) Folded Monopole Antenna A compact printed dual-band folded monopole antenna has been proposed for the operation at 915MHz and 2.4GHz ISM bands. The dual resonance operation from a monopole antenna with a total length lesser than 0.2.915MHz including a finite ground plane occupying 1/6th of the total antenna space is the main feature of the proposed antenna. Furthermore, the easier integration of the proposed dual-band antenna on the printed circuit board without using its ground plane is another important characteristic. The desired dual resonances were obtained by implementing a folded conductor pattern for the antenna's main radiator along with two rectangular conductor stubs deployed at different positions along the main radiator on a 60 x 20 x 1mm(3) FR4 substrate. The 915MHz resonance was caused by the folded conductor pattern of the main radiator with a stub located at its end while a shorter conductor segment was defined on the main radiator by placing the second rectangular stub at about 0.25 lambda(2.4GHz) caused the other resonance at 2.4GHz. The design of the proposed dual-band antenna was simulated and analyzed in ANSYS HFSS. The simulated return loss of about -18dB at both frequencies along with a peak realized gain of 3.2dB and 2.3dB were obtained at 915MHz and 2.4GHz respectively. Sheikh, Faisal Ahmad; Kim, Young Cheol; Choi, Ickchang; Kim, Hyun Deok Kyungpook Natl Univ, Inst Adv Convergence Technol, 70 Dongnae Ro, Daegu, South Korea; Kyungpook Natl Univ, Sch Elect Engn, 80 Daehak Ro, Daegu, South Korea Kim, Yong Joon/IQS-7291-2023 37074158500; 57218240460; 37074258500; 55663858300 faisalthestar@knu.ac.kr;yckim@knu.ac.kr;choic@iact.or.kr;hdkim@knu.ac.kr; 2022 IEEE INTERNATIONAL RF AND MICROWAVE CONFERENCE, RFM 2472-1549 0 2025-06-25 0 0 folded monopole antenna; PCB antenna; dual-band antenna; finite ground plane; 915MHz; 2.4GHz; ISM band 2.4GHz; 915MHz; dual-band antenna; finite ground plane; folded monopole antenna; ISM band; PCB antenna Antenna grounds; Directional patterns (antenna); Microstrip antennas; Monopole antennas; Printed circuit boards; Slot antennas; 2.4ghz; 915mhz; Conductor patterns; Dual Band; Dual band antennas; Dual resonance; Finite ground plane; Folded monopole antenna; ISM bands; PCB antenna; Radiators English 2022 2022 10.1109/rfm56185.2022.10064838 바로가기 바로가기 바로가기
Article; Proceedings Paper A Comprehensive Empirical Study of Query Performance Across GPU DBMSes In recent years, GPU database management systems (DBMSes) have rapidly become popular largely due to their remarkable acceleration capability obtained through extreme parallelism in query evaluations. However, there has been relatively little study on the characteristics of these GPU DBMSes for a better understanding of their query performance in various contexts. Also, little has been known about what the potential factors could be that affect the query processing jobs within the GPU DBMSes. To fill this gap, we have conducted a study to identify such factors and to propose a structural causal model, including key factors and their relationships, to explicate the variances of the query execution times on the GPU DBMSes. We have also established a set of hypotheses drawn from the model that explained the performance characteristics. To test the model, we have designed and run comprehensive experiments and conducted in-depth statistical analyses on the obtained empirical data. As a result, our model achieves about 77% amount of variance explained on the query time and indicates that reducing kernel time and data transfer time are the key factors to improve the query time. Also, our results show that the studied systems should resolve several concerns such as bounded processing within GPU memory, lack of rich query evaluation operators, limited scalability, and GPU under-utilization. Suh, Young-Kyoon; An, Junyoung; Tak, Byungchul; Na, Gap-Joo Kyungpook Natl Univ, Sch Comp Sci & Engn, Dept Data Convergence Comp, Daegu, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea; Elect & Telecommun Res Inst, Artificial Intelligence Res Lab, Daejeon, South Korea 55443739900; 57224010954; 6506911621; 13103777300 yksuh@knu.ac.kr;jyan@knu.ac.kr;bctak@knu.ac.kr;funkygap@etri.re.kr; PROCEEDINGS OF THE ACM ON MEASUREMENT AND ANALYSIS OF COMPUTING SYSTEMS P ACM MEAS ANAL COMP 2476-1249 6 1 ESCI COMPUTER SCIENCE, HARDWARE & ARCHITECTURE;COMPUTER SCIENCE, INFORMATION SYSTEMS 2022 1.7 1.16 2025-06-25 1 4 GPU DBMS; query time; causal model; performance evaluation Causal model; Gpu dbms; Performance evaluation; Query time Data transfer; Database systems; Program processors; Query processing; Acceleration capabilities; Causal modeling; Empirical studies; Gpu dbms; Key factors; Performances evaluation; Processing jobs; Query evaluation; Query performance; Query time; Graphics processing unit English 2022 2022-03 10.1145/3508024 바로가기 바로가기 바로가기 바로가기
Conference paper A Comprehensive Empirical Study of Query Performance Across GPU DBMSes In recent years, GPU database management systems (DBMSes) have rapidly become popular largely due to their remarkable acceleration capability obtained through extreme parallelism in query evaluations. However, there has been relatively little study on the characteristics of these GPU DBMSes for a better understanding of their query performance in various contexts. To fill this gap, we have conducted a rigorous empirical study to identify such factors and to propose a structural causal model, including key factors and their relationships, to explicate the variances of the query execution times on the GPU DBMSes. To test the model, we have designed and run comprehensive experiments and conducted in-depth statistical analyses on the obtained data. As a result, our model achieves about 77% amount of variance explained on the query time and indicates that reducing kernel time and data transfer time are the key factors to improve the query time. Also, our results show that the studied systems still need to resolve several concerns such as bounded processing within GPU memory, lack of rich query evaluation operators, limited scalability, and GPU under-utilization. © 2022 Owner/Author. Suh, Young-Kyoon; An, Junyoung; Tak, Byungchul; Na, Gap-Joo Kyungpook National University, Daegu, South Korea; Kyungpook National University, Daegu, South Korea; School of Computer Science and Engineering, Kyungpook National University, South Korea; Electronics and Telecommunications Research Institute, Daejeon, South Korea 55443739900; 57224010954; 6506911621; 13103777300 SIGMETRICS/PERFORMANCE 2022 - Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems 0163-5999 0 2025-06-25 0 causal model; gpu dbms; performance evaluation; query time Data transfer; Database systems; Query processing; Acceleration capabilities; Causal modeling; Empirical studies; Gpu dbms; Key factors; Performances evaluation; Query evaluation; Query execution time; Query performance; Query time; Graphics processing unit English Final 2022 10.1145/3489048.3522644 바로가기 바로가기
Article A Conceptual Study on Photodynamic Control-Mediated Holographic Composites Herein, photodynamic control-mediated holographic composites are proposed, which are composed of photosensitizers, singlet oxygen receptors, and a polymeric matrix. Rose bengal (RB) and methylene blue (MB) are used as photosensitizers, and 1,3-diphenylisobenzofuran (DPBF) as a singlet oxygen receptor. First, the photodynamic effects of the photosensitizers in DPBF-dissolved solutions are evaluated by analyzing the optical properties of DPBF under laser irradiation. The results confirm that RB and MB are selectively photoexcited by a green and red laser, respectively, and DPBF only reacts to the photosensitized singlet oxygen. Similarly, an outstanding photodynamic effect is observed in the DPBF-coated photodynamic films upon 660 nm laser irradiation. To evaluate the holographic performances of the films, the diffraction efficiency of the films is measured under the beams. The diffraction efficiency of the films is 2.03%. The results suggest that the conformational changes of the receptor are accompanied with absorptive gradients on the films. Therefore, it is strongly believed that the new strategy with photodynamic control can provide appealing solutions in the near future for holographic applications. Lee, Yewon; Kim, Hyeong Seok; Kang, Yi Young; Kang, Hye Ju; Lee, Jieun; Kim, Jawon; Lee, Jae-Won; Lee, Su-Won; Min, Seungah; Koh, Won-Gun; Kang, Youngjong; Kim, Hak-Rin; Ka, Jae-Won Korea Res Inst Chem Technol, Adv Polymer Mat Res Ctr, 141 Gajeong Ro, Daejeon 34114, South Korea; Yonsei Univ, Dept Chem & Biomol Engn, 50 Yonsei Ro, Seoul 03722, South Korea; Kyungpook Natl Univ, Sch Elect & Elect Engn, 80 Daehak Ro, Daegu 41566, South Korea; Hanyang Univ, Dept Chem, 222 Wangsimni Ro, Seoul 04763, South Korea; Kyungpook Natl Univ, Sch Elect Engn, 80 Daehak Ro, Daegu 41566, South Korea ; Kim, Hak-Rin/T-1897-2019; Jang, Woo-Dong/I-7186-2019 jwka@krict.re.kr; ADVANCED PHOTONICS RESEARCH ADV PHOTON RES 2699-9293 3 8 ESCI MATERIALS SCIENCE, MULTIDISCIPLINARY;OPTICS 2022 3.7 1 holographic recordings; photodynamic effects; photodynamic films; photosensitizers; singlet oxygen receptors SINGLET OXYGEN; DICHROMATED GELATIN; EFFICIENCY; GRATINGS English 2022 2022-08 10.1002/adpr.202100363 바로가기 바로가기 바로가기
Conference paper A Convenient Implementation of the Ternary Logic: Using Anti-Ambipolar Transistors and PMOS Based on Printed Carbon Nanotubes Ternary logic is said to become the potential solution to overcome the issues we encounter in binary systems. To enlighten this potential, we propose a ternary logic based on novel Anti-ambipolar transistors (AATs) and PMOSs. Conventional AATs require a complex fabrication process, and their operation is beyond the range of typical CMOS (>5 V). However, Inkjet-printed AATs are easy to fabricate, and their operating voltage is under 2V. Thus, Inkjet-based AATs are highly-suitable to use with other printable devices. Therefore, in this paper, we propose a set of novel ternary logic based on printed AATs and carbon-nanotube PMOSs. With these AATs and PMOSs, we propose 10 novel logic gates that include a practical balanced ternary full adder (TFA). Our TFA presents a compact design that can be implemented only with 41 PMOSs and 17 AATs. Our TFA reduces transistor count by -22.6% compared to the latest TFA design. We highlight that our ternary logic cells based on AATs and PMOSs are 1) the most compact design in terms of transistor count and 2) very convenient to fabricate. © 2022 IEEE. Kim, Jongbeom; Kim, Yeji; Lee, Hyundong; Yun, Jihyeong; Jang, Hyeseung; Jin, Huijeen; Park, Juhee; Kim, Bongjun; 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 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 Electronics Engineering, Kyungpook National University (KNU), Daegu, 41566, South Korea; Sookmyung Women's University, Department of Electronics Engineering, Seoul, 04312, South Korea; Sookmyung Women's University, Department of Electronics Engineering, Seoul, 04312, 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 57782068500; 57781806700; 57226892881; 57781016500; 57782068400; 57780756800; 57684576100; 56125116600; 36005021000 Proceedings of The International Symposium on Multiple-Valued Logic 0195-623X 2022-May 1.15 2025-06-25 3 Anti-ambipolar Transistor (AAT); ternary full-adder; ternary logic Adders; Computer circuits; Logic devices; Transistors; Ambipolar transistors; Anti-ambipolar transistor; Binary systems; Compact designs; Fabrication process; Full adders; Ink jet; Ternary full-adder; Ternary logic; Transistor count; Carbon nanotubes English Final 2022 10.1109/ismvl52857.2022.00010 바로가기 바로가기
Proceedings Paper A DQN-based CUBIC for TCP Congestion Control In a static environment, as the available bandwidth increases, the slow congestion window increase rate prevents the existing TCP fully utilizing the bandwidth. CUBIC, a congestion control algorithm for high-speed networks, can provide higher throughput than existing algorithms but cannot guarantee satisfactory performance during frequent bandwidth fluctuations. Applying Deep-Q-Network to a TCP congestion control algorithm can improve link utilization. Therefore, in this paper, we propose a DQN-based CUBIC for various networks environments, which simultaneously utilizes the mechanisms of CUBIC and DQN. Through simulation experiments based on NS-3, it was confirmed that the proposed algorithm can increase the throughput compared to CUBIC in any link environment. Seo, Sang-Jin; Kim, Geon-Hwan; Cho, You-Ze Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea 57563304000; 57189040274; 7404469829 chil258@knu.ac.kr;kgh76@ee.knu.ac.kr;yzcho@ee.knu.ac.kr; 2022 27TH ASIA PACIFIC CONFERENCE ON COMMUNICATIONS (APCC 2022): CREATING INNOVATIVE COMMUNICATION TECHNOLOGIES FOR POST-PANDEMIC ERA 2163-0771 2.29 2025-06-25 1 6 Deep Q Network; TCP congestion control Deep Q Network; TCP congestion control Bandwidth; Transmission control protocol; Available bandwidth; Bandwidth fluctuations; Congestion control algorithm; Deep Q network; High-speed Networks; High-throughput; Performance; Static environment; TCP congestion control; TCP congestion control algorithm; HIgh speed networks English 2022 2022 10.1109/apcc55198.2022.9943650 바로가기 바로가기 바로가기
Conference paper A fire detection scheme using 5G network-based KNN algorithm As fire accidents cause large-scale human and material damage, it is necessary to have an active and active response system using information and communications technology. Recently, technologies are being researched using advanced information technology to efficiently respond to various fire situations. It analyzes the data and uses it to recognize the fire situation. However, most of the fire detection uses deep learning technology to detect the shape of a flame using image technology and respond to it. This is the situation. Therefore, in this paper, we apply the KNN(K Nearest Neighbors) machine learning algorithm technique for multi-sensor-based fire/non-fire classification and use 5G communication network technology for real-time response to increase the fire detection hit rate and propose a technology suitable for service supply in large-scale complexes. © 2022 IEEE. Yoon, Mahnsuk; Lee, Changkyo; Lim, Gilhwan; Choi, Hyunchul; Cho, Kyucheol Geri (Gumi Electronics & Information Technology Research Institute), Future Mobile Communication Research Center, Gumi, South Korea; Geri (Gumi Electronics & Information Technology Research Institute), Future Mobile Communication Research Center, Gumi, South Korea; Research Institute Daon Co., Ltd., Gumi, South Korea; Research Institute Daon Co., Ltd., Gumi, South Korea; School of Computer Secience and Engineering, Kyungpook National University, Software Education Center, Daegu, South Korea 57203640624; 57189091503; 57991627800; 57991627900; 26031217700 International Conference on ICT Convergence 2162-1233 2022-October 0.22 2025-06-25 1 5G(5th Generation) Network; Fire detection algorithm; Machine Learning; Multi Sensor 5G mobile communication systems; Deep learning; Information use; Learning algorithms; Learning systems; Nearest neighbor search; Population statistics; Queueing networks; Signal detection; 5th generation network; Detection scheme; Fire accident; Fire detection; Fire detection algorithms; Large-scales; Machine-learning; Multi sensor; Nearest-neighbor algorithms; Network-based; Fires English Final 2022 10.1109/ictc55196.2022.9952851 바로가기 바로가기
Conference paper A Fire Prevention By Abnormal Heat Generation Detection Using LSTM Abnormal heat generation problems in electronic devices are increasing. In order to prevent fires caused by abnormal overheating, we propose a fire prevention system using thermal images and a LSTM model. Thermal image, LSTM, Fire prevention, Abnormal heat generation © 2022 IEEE. Lee, GeeHoon; Jung, Im Y. Kyungpook National University, School of Electronics Engineering, Daegu, South Korea; Kyungpook National University, School of Electronics Engineering, Daegu, South Korea 58101299000; 18037522200 wlgns4123@naver.com; Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022 0 2025-06-25 0 Fireproofing; Fires; Long short-term memory; Electronics devices; Fire prevention; Fire prevention systems; Thermal images; Heat generation English Final 2022 10.1109/bigdata55660.2022.10021020 바로가기 바로가기
Article A guideline for the statistical analysis of compositional data in immunology The study of immune cellular composition has been of great scientific interest in immunology because of the generation of multiple large-scale data. From the statistical point of view, such immune cellular data should be treated as compositional. In compositional data, each element is positive, and all the elements sum to a constant, which can be set to one in general. Standard statistical methods are not directly applicable for the analysis of compositional data because they do not appropriately handle correlations between the compositional elements. In this paper, we review statistical methods for compositional data analysis and illustrate them in the context of immunology. Specifically, we focus on regression analyses using log-ratio transformations and the alternative approach using Dirichlet regression analysis, discuss their theoretical foundations, and illustrate their applications with immune cellular fraction data generated from colorectal cancer patients. Yoo, Jinkyung; Sun, Zequn; Greenacre, Michael; Ma, Qin; Chung, Dongjun; Kim, Young Min Kyungpook Natl Univ, Dept Stat, Daegu 41566, South Korea; Northwestern Univ, Dept Prevent Med Biostat, Evanston, IL USA; Univ Pompeu Fabra, Dept Econ & Business, Barcelona, Spain; Barcelona Sch Management, Barcelona, Spain; Ohio State Univ, Dept Biomed Informat, Columbus, OH 43210 USA Ma, Qin/AAI-3810-2021; Chung, Dongjun/AAI-6032-2020 57425952600; 57201190382; 26643069000; 36843466800; 23992248900; 56035273800 chung.911@osu.edu;kymmyself@knu.ac.kr; COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS COMMUN STAT APPL MET 2287-7843 2383-4757 29 4 ESCI STATISTICS & PROBABILITY 2022 0.4 0.83 2025-06-25 6 6 compositional data; compositional regression; Dirichlet regression; immunology; immuno-oncology; log-ratio transformation REGRESSION; SELECTION; TESTS Compositional data; Compositional regression; Dirichlet regression; Immuno-oncology; Immunology; Log-ratio transformation English 2022 2022-07 10.29220/csam.2022.29.4.453 바로가기 바로가기 바로가기 바로가기
Conference paper A high-speed driver behavior detection deep learning system using the amount of change in contrast between frames This paper proposes a deep learning system that detects driver behavior for safe driving. A method of detecting the dangerous behavior of an existing driver uses a method of deep learning object detection that detects a class and a location of an object in an image. However, the deep learning object detection algorithm uses many computational resources, so it cannot be used in vehicle embedded environments with limited computational resources. In the case of an object classification algorithm that classifies a single object in an image, fewer computational resources are used than that of a deep learning object detection algorithm. However, it cannot be applied because various objects in the camera image cannot be classified as a single object. In the paper, We propose an algorithm that infers the driver's behavioral area using the driver's static movement in a vehicle and then applies deep learning objects to the inferred area. The proposed algorithm may be applied to a vehicle embedded environment because the calculation time is faster and more accurate than the deep learning object detection algorithm. © 2022 IEEE. Yoo, Min Woo; Kim, Jihun; Cha, Dae Woong; Son, Woo Sung; Lee, Donggyu; Han, Dong Seog Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea 57216618843; 56024681400; 57202576121; 57223306362; 57169003900; 7403219442 dshan@knu.ac.kr; 4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings 0.27 2025-06-25 1 classification; deep learning; object detection Deep learning; Learning algorithms; Object detection; Object recognition; Signal detection; Behavior detection; Computational resources; Deep learning; Driver's behavior; Embedded environment; High speed driver; Object classification; Object detection algorithms; Safe driving; Single object; Vehicles English Final 2022 10.1109/icaiic54071.2022.9722670 바로가기 바로가기
Article A High-Throughput and Energy-Efficient SHA-256 Design using Approximate Arithmetic This paper presents a novel high-throughput SHA-256 design exploiting approximate computing. The 32-bit addition of the SHA-256 architecture consumes a lot of hardware resources, hence we suggest a split k-bit adder-based SHA-256 design to significantly reduce hardware resources while ensuring acceptable hash functionality. The proposed designs enhance the area, delay, and energy when employed with 28-nm CMOS technology by 8.9%, 45.7%, and 9.3% in the 2-bit configuration and 15%, 52.9%, and 11.3% in the 1-bit configuration, respectively, compared to the conventional SHA-256 design. Additionally, the proposed designs improve the area-delay product (ADP), energy-delay product (EDP), and throughput performances by at least 19.1%, 20.2%, and 18.6% with a maximum of 149.8%, 139.3%, and 112.1%, respectively, compared to the traditional design. Additionally, all of the proposed designs obtain a higher average of Avalanche effect than the traditional ones, and all the message digests generated by the proposed SHA-256 are randomly distributed. © 2022 Institute of Electronics and Information Engineers. All rights reserved. Baik, Junhyuk; Kim, Yongtae School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea; School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea 57995712600; 55699627900 yongtae@knu.ac.kr; IEIE Transactions on Smart Processing and Computing 2287-5255 11 5 0.08 2025-06-25 1 Approximate adder; Approximate computing; Ciphertext; Cryptographic; Hash function; Secure hash algorithm (SHA); SHA-256; Throughput Adders; Energy efficiency; Product design; Approximate adder; Approximate computing; Ciphertexts; CryptoGraphics; Hardware resources; High-throughput; Secure hash algorithm; Secure Hash Algorithm (); Secure hash algorithm-256; Hash functions English Final 2022 10.5573/ieiespc.2022.11.5.385 바로가기 바로가기
Article A Highly Salt-Tolerant Bacterium Brevibacterium sediminis Promotes the Growth of Rice (Oryza sativa L.) Seedlings Soil salinity has emerged as a serious issue for food security due to global climate change. It is estimated that currently about 62 million hectares or 20 percent of the world’s irrigated land is affected by salinity. Salinity is a serious problem in the coastal areas of Bangladesh. Isolation of salt-tolerant plant growth-promoting bacteria (PGPB) and applying them as bioinoculants in crop plants are considered promising and effective biotechnological approaches to combat soil salinity. This study aimed to screen salt-tolerant PGPB from the root, leaf, and rhizospheric soils of rice plants collected from salt-affected coastal areas including Chattogram, Noakhali, Lakshmipur, and Cox’s Bazar districts of Bangladesh and evaluated their performances on the seedling growth of rice. Out of forty-one salinity-tolerant bacterial isolates screened, Brevibacterium sediminis showed salinity tolerance up to 12% NaCl (w/v). In vitro bioassay revealed that B. sediminis promoted the seedling growth of rice cv. BRRI dhan29 (salinity susceptible) and BINAdhan-10 (salinity tolerant), and the growth-promoting effects were higher in BINAdhan-10. This study for the first time identified B. sediminis strain IBGE3C as a salt-tolerant PGPB from a widely cultivated rice variety, BRRI dhan28 in the Lakshmipur district of Bangladesh. Our results suggest that salt-tolerant PGPB isolated from the root, leaf, and rhizospheric soil of rice plants could be used as a low cost and environmentally friendly option for overcoming the detrimental effects of salt stress on rice plants in the southern coastal regions of Bangladesh. However, further studies are needed for assessing the efficacy of B. sediminis on enhancement of salinity tolerance, and growth and yield of rice under salinity stressed conditions. © 2022 by the authors. Mahmud-Ur-Rahman; Naser, Iftekhar Bin; Mahmud, Nur Uddin; Sarker, Aniruddha; Hoque, M. Nazmul; Islam, Tofazzal Institute of Biotechnology and Genetic Engineering, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh, Department of Mathematics and Natural Sciences, BRAC University, Dhaka, 1213, Bangladesh; Institute of Biotechnology and Genetic Engineering, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh, Department of Mathematics and Natural Sciences, BRAC University, Dhaka, 1213, Bangladesh; Institute of Biotechnology and Genetic Engineering, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh; School of Applied Biosciences, Kyungpook National University, Daegu, 41566, South Korea; Department of Gynecology, Obstetrics and Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, 1706, Bangladesh; Department of Mathematics and Natural Sciences, BRAC University, Dhaka, 1213, Bangladesh 58856922900; 8513546900; 57206365083; 57211874397; 56202487900; 58402647300 tofazzalislam@bsmrau.edu.bd; Stresses 2673-7140 2 3 1.74 2025-06-25 11 climate change; crop production; microorganism; plant growth promotion; salinity stress; soil salinity English Final 2022 10.3390/stresses2030020 바로가기 바로가기
Review A Limited Angle Torque Motor Hybrid Structure to Improve Torque Density The limited angle torque motor (LATM) is an electromagnetic actuator that rotates within a limited angle of less than ±90°. In this study, the advantages of permanent magnet (PM) type and reluctance type LATM are combined to create a hybrid LATM with high torque density for the same volume. The proposed hybrid LATM structure combines structural advantages using a PM with a high magnetic flux density of a PM type LATM and voice coil winding with a high fill factor of reluctance type, as well as making a prototype and conducting a torque test. © The Korean Institute of Electrical Engineers. Shin, Jin-Yeong; Kwon, Soon-O; Lee, Ho-Young; Lee, Gi-Ju; Yoon, Seung-Young; Choi, Hong-Soon School of Electronic and Electrical Engineering, Kyungpook National University, South Korea; Advanced Mechatronics R&D Group, Korea Institute of Industrial Technology, South Korea; Advanced Mechatronics R&D Group, Korea Institute of Industrial Technology, South Korea; Advanced Mechatronics R&D Group, Korea Institute of Industrial Technology, South Korea; Advanced Mechatronics R&D Group, Korea Institute of Industrial Technology, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, South Korea 57320197700; 12790778500; 57049871300; 57212469872; 57320197600; 7404338767 tochs@knu.ac.kr; Transactions of the Korean Institute of Electrical Engineers 1975-8359 71 2 0 2025-06-25 0 LAT motor; LATM; torque actuator; torque density; torque motor; voice coil Magnetic actuators; Permanent magnets; Electromagnetic actuators; High magnetic flux density; High torque density; Hybrid structure; LAT motor; Limited angle torque motors; Structural advantage; Torque actuators; Torque density; Voice coil; Torque Korean Final 2022 10.5370/kiee.2022.71.2.359 바로가기 바로가기
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논문 데이터 용어 설명

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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.