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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 Retinal Microvascular Abnormalities in Patients with Type 1 Neurofibromatosis Purpose: To evaluate the findings and frequencies of retinal microvascular abnormalities observed in patients with type 1 neurofibromatosis. Methods: Fundus photographs of 61 patients with type 1 neurofibromatosis and 61 controls without systemic disease or ophthalmic abnormalities were retrospectively compared and analyzed. The presence or absence of retinal microvascular abnormalities in the form of simple vascular tortuosity, corkscrew retinal vessels, and moyamoya-like patterns was confirmed, and the diagnostic sensitivity, diagnostic specificity, positive predictive value, negative predictive value, and diagnostic accuracy for type 1 neurofibromatosis were analyzed. Results: Retinal microvascular abnormalities were found in 19.7% (12 patients) of the patient group, There was no cases in the control group, thus. The difference between the patient group and the control group was significant (p = 0.0003). Of the 12 patients with abnormalities, 10 exhibited simple vascular tortuosity, one had corkscrew retinal vessels, and one exhibited both findings. The diagnostic sensitivity of retinal microvascular abnormalities for type 1 neurofibromatosis was 23.53%, the diagnostic specificity was 100%, the positive predictive value was 100%, and the negative predictive value was 61%. The diagnostic accuracy was 65.18%, which was slightly lower than the 79.5% diagnostic accuracy for the Lisch nodule, but the diagnostic accuracy was comparable to that of neurofibroma (68.03%). Conclusion: Retinal microvascular abnormalities were observed in 19.7% of type 1 neurofibromatosis patients, of which simple vascular tortuosity was the most common. Considering that retinal microvascular abnormalities were not observed at all in the control group, and the diagnostic accuracy was 65.18%, this type of abnormality could be included as a new ophthalmic clinical feature of type 1 neurofibromatosis. Choi, Hyung Jun; Yoon, Jung Hyun; Son, Byeong Jae; Hwang, Su Kyeong; Chun, Bo Young Kyungpook Natl Univ, Sch Med, Dept Ophthalmol, 130 Dongdeok Ro, Daegu 41944, South Korea; Kyungpook Natl Univ, Sch Med, Brain Sci & Engn Inst, Daegu, South Korea; Kyungpook Natl Univ, Sch Med, Dept Pediat Neurol, Daegu, South Korea Yoon, Jung Hyun/KHX-0113-2024 57216589446; 57204243415; 57197444337; 37761570400; 25644902100 byjun424@hotmail.com; JOURNAL OF THE KOREAN OPHTHALMOLOGICAL SOCIETY J KOR OPHTHALMOL SOC 0378-6471 2092-9374 62 2 ESCI OPHTHALMOLOGY 2021 N/A 0 2025-07-30 0 0 Retinal microvascular abnormalities; Type 1 neurofibromatosis CHOROIDAL ABNORMALITIES Retinal microvascular abnormalities,; Type 1 neurofibromatosis Korean 2021 2021-02 10.3341/jkos.2021.62.2.266 바로가기 바로가기 바로가기 바로가기
Erratum Retraction Note to: Simulation Study of Dynamic Characteristics of Hot Pepper Harvester (Journal of Biosystems Engineering, (2020), 45, 4, (333-340), 10.1007/s42853-020-00074-7) This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s42853-021-00107-9. © 2021, The Korean Society for Agricultural Machinery. Kang, Seokho; Kim, Junhee; Kim, Yeongsu; Ha, Yushin; Woo, Seungmin Kyungpook National University, 106, College of Agriculture, Building 3, 80, Daehak-ro, Buk-gu, Daegu, South Korea; Kyungpook National University, 106, College of Agriculture, Building 3, 80, Daehak-ro, Buk-gu, Daegu, South Korea; Kyungpook National University, 106, College of Agriculture, Building 3, 80, Daehak-ro, Buk-gu, Daegu, South Korea; Kyungpook National University, 106, College of Agriculture, Building 3, 80, Daehak-ro, Buk-gu, Daegu, South Korea; Kyungpook National University, 106, College of Agriculture, Building 3, 80, Daehak-ro, Buk-gu, Daegu, South Korea 57221791368; 57197854979; 57210594021; 57192072314; 57192074884 yushin72@knu.ac.kr;kooger7571@naver.com; Journal of Biosystems Engineering 1738-1266 46 3 0 2025-07-30 0 Agronomy; Food technology; Bio-systems; Simulation studies; Harvesters English Final 2021 10.1007/s42853-021-00107-9 바로가기 바로가기
Erratum Retraction to: Inhibitory activity against biological enzyme and anti-microbial activity of phenolics from sambucus sieboldiana var. pendula leaves (J Appl Biol Chem (2021) 64(1), 5-11 10.3839/jabc.2021.002) In the process of publishing this article, duplicate publishing errors occurred because data that were carried out and reported to other organizations (Gyeonggi-do) in 2013 were included. We want to retract this manuscript. © 2021, Korean Society for Applied Biological Chemistry. All rights reserved. Lee, Eun-Ho; Hong, Shin Hyub; Park, Hye-Jin; Kim, Byung-Oh; Jung, Hee-Young; Kang, In-Kyu; Cho, Young-Je School of Food science & Biotechnology, Kyungpook National University, 80 University Street, Bukgu, Daegu, 41566, South Korea; School of Food science & Biotechnology, Kyungpook National University, 80 University Street, Bukgu, Daegu, 41566, South Korea; School of Food science & Biotechnology, Kyungpook National University, 80 University Street, Bukgu, Daegu, 41566, South Korea; School of Food science & Biotechnology, Kyungpook National University, 80 University Street, Bukgu, Daegu, 41566, South Korea; School of Applied Biosciences, Kyungpook National University, 80 University Street, Bukgu, Daegu, 41566, South Korea; Department of Horticultural Science, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 41566, South Korea; School of Food science & Biotechnology, Kyungpook National University, 80 University Street, Bukgu, Daegu, 41566, South Korea 56347429100; 57191666464; 7601567655; 7501567571; 7403029383; 56577308800; 55265396300 yjcho@knu.ac.kr; Journal of Applied Biological Chemistry 1976-0442 64 2 0 2025-07-30 0 English Final 2021 10.3839/jabc.2021.063 바로가기 바로가기
Book chapter Revealing the Relation between Star Formation Activity of Jellyfish Galaxies and Ram Pressure Stripping Jellyfish galaxies are starburst galaxies with ram-pressure-stripped tails and blue star-forming knots. These galaxies show a snapshot of star formation enhancement triggered by ram pressure stripping (RPS), being important targets for studying the RPS-induced star formation in gas-rich galaxies. Here we investigate the star formation activity of five jellyfish galaxies in massive clusters, using Gemini GMOS/IFU observations. From the Hα-derived star formation rates (SFRs), we find that our sample shows higher SFR excess to the star formation main sequence than the jellyfish galaxies in low-mass clusters. From the compiled sample of jellyfish galaxies in low-mass to high-mass host clusters, we suggest that the star formation activity of jellyfish galaxies has positive correlations with host cluster mass and degree of RPS. These relationships imply that higher ram pressure environments tend to trigger stronger starbursts in jellyfish galaxies in the early stage of RPS. © The Author(s), 2023. Published by Cambridge University Press on behalf of International Astronomical Union. Lee, Jeong Hwan; Lee, Myung Gyoon; Mun, Jae Yeon; Cho, Brian S.; Kang, Jisu Seoul National University, Seoul, 08826, South Korea, Kyungpook National University, Daegu, 41566, South Korea; Seoul National University, Seoul, 08826, South Korea; Australian Nationial University, Canberra, 2611, ACT, Australia; Seoul National University, Seoul, 08826, South Korea; Seoul National University, Seoul, 08826, South Korea 57195344163; 7409116688; 57222089861; 57215605904; 56574541700 Proceedings of the International Astronomical Union 1743-9213 17 0 2025-07-30 0 Galaxy environments; Galaxy evolution; Integral Field Spectroscopy; Jellyfish galaxy; Ram pressure stripping; Starburst galaxy English Final 2021 10.1017/s1743921323000303 바로가기 바로가기
Proceedings Paper Revisiting Test Cases to Boost Generate-and-Validate Program Repair Fault localization produces bug positions as the basic input for many automated program repair (APR) systems. Given that test cases are the common means that automatic fault localization techniques leverage, we investigate the impact of their characteristics (in terms of quality and quantity) on APR. In particular, we analyze the statements that appear in crash stack traces when test cases fail (note that stack traces are available when an ordinary test case fails since its verdict is often made by assertions that produce errors such as AssertError in Java and JUnit), and explore the possibility of using some relevant crash information to enhance fault localization; this ultimately improves the effectiveness of APR tools. Our study reveals that the considered state-of-the-art APR systems achieve the best performance when fixing bugs associated with boolean type expected values (e.g., assertTrue() or assertFalse()). In contrast, they achieve their worst performance when addressing bugs related to null check assertions. Meanwhile, null check bugs as well as the bugs associated with boolean and string type expected values are still the main challenge that should be addressed by the future APR. For exception throwing bugs, existing APR systems present the best performance on fixing NullPointerException bugs, while the tough task of them is to resolve the bugs throwing developer-defined exceptions. The information in stack traces after executing the bug-triggering test cases can be used to effectively improve the performance on fault localization and program repair. Zhang, Jingtang; Liu, Kui; Kim, Dongsun; Li, Li; Liu, Zhe; Klein, Jacques; Bissyande, Tegawende F. Nanjing Univ Aeronaut & Astronaut, Nanjing, Peoples R China; Nanjing Univ Aeronaut & Astronaut, Key Lab Safety Crit Software, Nanjing, Peoples R China; State Key Lab Math Engn & Adv Comp, Wuxi, Jiangsu, Peoples R China; Kyungpook Natl Univ, Daegu, South Korea; Monash Univ, Melbourne, Vic, Australia; Univ Luxembourg, Interdisciplinary Ctr Secur Reliabil & Trust SnT, Luxembourg, Luxembourg Kim, Dongsun/B-4856-2015; LIU, zhe/HGD-6875-2022 57423726800; 57203748234; 55742964600; 58855527300; 56844033500; 56282553000; 36080354200 jingtangzhang@nuaa.edu.cn;kui.liu@nuaa.edu.cn;darkrsw@knu.ac.kr;li.li@monash.edu;zhe.liu@nuaa.edu.cn;jacques.klein@uni.lu;tegawende.bissyande@uni.lu; 2021 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME 2021) 1063-6773 0.72 2025-07-30 5 4 Automated program repair; test case; fault localization Automated program repair; fault localization; test case Automation; Program debugging; Software testing; Automated program repair; Automatic fault localizations; Expected values; Fault localization; Localization technique; Performance; Repair system; Repair tools; State of the art; Test case; Repair English 2021 2021 10.1109/icsme52107.2021.00010 바로가기 바로가기 바로가기
Article Risk Factors and Radiologic Changes in Subsidence after Single-Level Anterior Cervical Corpectomy: A Minimum Follow-Up of 2 Years Objective: Anterior cervical corpectomy using a titanium mesh cage may result in delayed nonunion and thus a change in cervical alignment, and patients may require revision surger We investigated the radiologic and clinical outcomes of cervical corpectomy and the risk factors for subsidence. Methods: We studied 74 patients who underwent single-level anterior cervical corpectomy for cervical spondylotic myelopathy with or without ossification of the posterior longitudin ligament between 2007 and 2014. Graft subsidence was considered present when there was a reduction in the anterior and posterior heights by an average of 4 mm or more 2 years afte the operation. We measured cervical parameters before surgery, immediately after surgery, and 6, 12, and 24 months after surgery. The clinical outcomes were the neck and arm visual analog scale scores and reoperation rate. Results: In the subsidence group, these values gradually decreased over the 24 months. The radiologic parameters did not differ between the 2 groups for 24 months after the onset of subsidence. There were no differences in clinical outcome or reoperation rate. In the analys of the risk factors, subsidence occurred with a large T1 slope and a large change in the C27 Cobb angle (p=0.020 and p=0.026, respectively). Conclusion: Subsidence gradually occurred after single-level anterior cervical corpectomy for up to 24 months. However, the presence of subsidence did not affect the radiologic and clinical outcomes. When the T1 slope was large and the C27 Cobb angle change was severe, more subsidence occurred. Provisional Copyright © 2021 Korean Neurotraumatology Society An, Tae Yong; Kim, Ji-Yoon; Lee, Young-Seok Department of Neurosurgery, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, South Korea; Department of Anesthesiology, Pain and Critical Care Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea, Department of Anesthesiology, Pain and Critical Care Medicine, Kyungpook National University Chilgok Hospital, Daegu, South Korea; Department of Neurosurgery, School of Medicine, Kyungpook National University, Daegu, South Korea, Department of Neurosurgery, Kyungpook National University Chilgok Hospital, Daegu, South Korea 57277399100; 57205408095; 57203798682 leeys1026@hanmail.net; Korean Journal of Neurotrauma 2234-8999 17 0.83 2025-07-30 7 Cervical vertebrae; Compressive myelopathy; Reconstruction; Subsidence; Surgical decompression; Titanium mesh adult; Article; bone density; bone graft; cervical spine radiography; cervical spondylotic myelopathy; cervical vertebra; clinical outcome; Cobb angle; controlled study; corpectomy; female; follow up; human; major clinical study; male; middle aged; ossification; posterior longitudinal ligament; preoperative evaluation; reoperation; risk factor; sagittal vertical axis; sternum; visual analog scale English Final 2021 10.13004/kjnt.2021.17.e23 바로가기 바로가기
Conference paper River Water Level Prediction Based on Deep Learning: Case Study on the Geum River, South Korea At present, deep learning models have been widely applied in many studies related to the field of water resource management. In this study, several deep learning neural network models based on the Gated Recurrent Unit (GRU) architectures have been applied to the river water level prediction for a short-time period, from one hour to nine hours ahead. The input data of these models are hourly water levels which are observed at four hydrological stations on the Geum River, South Korea. Though the model does not require data such as topography, land cover, or precipitation data, the forecasted results indicate significant stability and performance. Compared to the observed water level data, the correlation coefficient NSE (Nash-Sutcliffe efficiency) is up to more than 99% in the case of a 1-hour forecast. The results of this study prove the potential of deep learning models in predicting water level and applicable to other river basins. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Le, Xuan-Hien; Jung, Sungho; Yeon, Minho; Lee, Giha Kyungpook National University, Sangju, 37224, South Korea, Thuyloi University, Hanoi, 10000, Viet Nam; Kyungpook National University, Sangju, 37224, South Korea; Kyungpook National University, Sangju, 37224, South Korea; Kyungpook National University, Sangju, 37224, South Korea 57209735659; 57209733155; 57223436971; 35069799400 hienlx@knu.ac.kr; Lecture Notes in Civil Engineering 2366-2557 145 LNCE 4.35 2025-07-30 6 Deep learning; Gated recurrent unit (GRU); Geum river; Water level prediction; Water resource management Deep neural networks; Forecasting; Recurrent neural networks; Rivers; Sustainable development; Topography; Water levels; Water management; Correlation coefficient; Learning models; Learning neural networks; Precipitation data; River basins; Time-periods; Water-level data; Waterresource management; Learning systems English Final 2021 10.1007/978-981-16-0053-1_40 바로가기 바로가기
Proceedings Paper Robust Foreground Segmentation in RGBD Data from Complex Scenes Using Adversarial Networks Foreground segmentation is a fundamental problem in many artificial intelligence and computer vision based applications. However, robust foreground segmentation with high precision is still a challenging problem in complex scenes. Currently, many of the existing algorithms process the input data in RGB space only, where the foreground segmentation performance is most likely degraded by various challenges like shadows, color camouflage, illumination changes, out of range camera sensors and bootstrapping. Cameras capturing RGBD data are highly active visual sensors as they provide depth information along with RGB of the given input images. Therefore, to address the challenging problem we propose a foreground segmentation algorithm based on conditional generative adversarial networks using RGB and depth data. The goal of our proposed model is to perform robust foreground segmentation in the presence of various complex scenes with high accuracy. For this purpose, we trained our GAN based CNN model with RGBD input data conditioned on ground-truth information in an adversarial fashion. During training, our proposed model aims to learn the foreground segmentation on the basis of cross-entropy loss and euclidean distance loss to identify between real vs fake samples. While during testing the model is given RGBD input to the trained generator network that performs robust foreground segmentation. Our proposed method is evaluated using two RGBD benchmark datasets that are SBM-RGBD and MULTIVISION kinect. Various experimental evaluations and comparative analysis of our proposed model with eleven existing methods confirm its superior performance. Sultana, Maryam; Bouwmans, Thierry; Giraldo, Jhony H.; Jung, Soon Ki Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea; Rochelle Univ, Lab MIA, La Rochelle, France ; Giraldo, Jhony/O-7502-2019; BOUWMANS, Thierry/H-7041-2017; Jung, Soon Ki/P-7687-2018 57196402440; 25631832300; 57189891741; 57226791905 maryam@knu.ac.kr;jgiral01@univ-lr.fr;skjung@knu.ac.kr; FRONTIERS OF COMPUTER VISION, IW-FCV 2021 1865-0929 1865-0937 1405 0.35 2025-07-30 0 1 Foreground segmentation; Generative adversarial networks; Supervised learning BACKGROUND SUBTRACTION; OBJECT DETECTION Foreground segmentation; Generative adversarial networks; Supervised learning Artificial intelligence; Cameras; Computer vision; Image segmentation; Input output programs; Adversarial networks; Benchmark datasets; Comparative analysis; Euclidean distance; Experimental evaluation; Foreground segmentation; Illumination changes; Vision-based applications; Complex networks English 2021 2021 10.1007/978-3-030-81638-4_1 바로가기 바로가기 바로가기
Proceedings Paper Robust Reconstruction of QR-Embedded Software using CRC-based Sequence Extraction of Asynchronous Time-Multiplexed QR Code Recently, systems in which smart factories, smart cars, and several small edges work together are emerging. Error problems occur in software execution as often as small edges work together, which spreads to errors of the entire system or causes larger errors. In order to solve this problem, it is necessary to consider a communication method for determining the presence or absence of an edge error using power consumption data. In this paper, we fry to segment data and communicate using QR codes. For the divided data part, the order is restored using Check Redundancy Check (CRC). If the order can be restored, data can be transmitted asynchronously. This architecture was implemented using 'CW303', 'Chip-whisperer' and 'Raspberry Pi 3' and showed successful data communication and error judgment. Kang, Myeongjin; Park, Daejin Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea 57216440453; 55463943600 boltanut@knu.ac.kr; 2021 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-ASIA (ICCE-ASIA) 0 2025-07-30 0 0 QR code; Check Redundancy Check; Error check Check Redundancy Check; Error check; QR code Errors; Restoration; Check redundancy check; Communication method; Entire system; Error checks; Error problems; QR codes; Robust reconstruction; Smart car; Software execution; Time multiplexed; Redundancy English 2021 2021 10.1109/icce-asia53811.2021.9641900 바로가기 바로가기 바로가기
Proceedings Paper Robust Shared Lateral Control or Autonomous Vehicles The challenges existing under the category of fully autonomous systems call for a need of human automation interaction to ensure safety and trust. Motivated by the above, this paper deals with the design of a shared control framework that enables the interaction between the human driver and automation. Further, the potential of game theory in a cooperative framework is employed to model the strategic interaction between the human driver and automation. The lateral dynamics of the vehicle model is taken into consideration with an incomplete information of all states. Lateral displacement and Yaw angle are measured whereas lateral velocity and Yaw rate are the unavailable states. A higher Order sliding Mode (HOSM) observer is designed to estimate the unknown states. With the availability of the estimated states, the interaction between the human driver and automation is carried out to generate a shared control law based on cooperative game theory. Model predictive control (MPC) approach is employed to design the control action for the human driver and autonomous subsystem separately. Then, the proposed shared lateral control scheme is analyzed and examined through simulation to evaluate the driver performance in this cooperative game theoretic approach. Swain, Subrat Kumar; Narzary, Daijiry; Rath, Jagat Jyoti; Veluvolu, Kalyana C. Kyungpook Natl Univ, Sch Elect Engn, Daegu, South Korea; IITRAM, Mech & Aerosp Dept, Ahmadabad, Gujarat, India Rath, Jagat/AAF-6698-2019; NARZARY, DAIJIRY/AIE-7187-2022; Swain, Subrat Kumar/GWR-3747-2022; Veluvolu, Kalyana/C-6366-2011 57196716965; 57201854373; 55904945200; 8703318200 veluvolu@ee.knu.ac.kr; 3RD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION (IEEE ICAIIC 2021) 0.2 2025-07-30 0 1 Higher Order Sliding Mode Observer; cooperative game theory; Model Predictive Control; shared lateral control DRIVER; GAME; AFS cooperative game theory; Higher Order Sliding Mode Observer; Model Predictive Control; shared lateral control Artificial intelligence; Automation; Autonomous vehicles; Model predictive control; Predictive control systems; Sliding mode control; Autonomous subsystems; Cooperative frameworks; Cooperative game theory; Higher order sliding modes; Human-automation interactions; Incomplete information; Shared control framework; Strategic interactions; Game theory English 2021 2021 10.1109/icaiic51459.2021.9415260 바로가기 바로가기 바로가기
Proceedings Paper Robust Tracking via Feature Enrichment and Overlap Maximization Recently, Convolutional Neural Networks (CNNs) based approaches have demonstrated an impressive gain over conventional approaches which resulted in rapid development of various visual object tracker. However, these advancements are limited in terms of accuracy due to the distractors available in the videos. Moreover, most of the deep trackers operate on low-resolution features, such as template matching, which are semantically reliable but are spatially less accurate. We propose an efficient feature enrichment module within tracking framework to learn the contextual reliable information and spatially accurate feature representation. Proposed feature enrichment combines enriched feature sets by exploiting contextual information from multiple scales as well as preserving the spatial information details. We integrate proposed feature enrichment module within baseline ATOM which solves the tracking problem by target estimation and classification components. The former component estimates the target based on IoU-predictor, while the later component is trained online to enforce high discrimination power. Experimental study over three benchmarks including VOT2015, VOT2016, and VOT2017 revealed that proposed feature enrichment module boosts the tracker accuracy. Fiaz, Mustansar; Ali, Kamran; Yun, Sang Bin; Baek, Ki Yeol; Lee, Hye Jin; Kim, In Su; Mahmood, Arif; Farooq, Sehar Shahzad; Jung, Soon Ki Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea; Univ Cent Florida, Dept Comp Sci, Orland, FL USA; Informat Technol Univ, Dept Comp Sci, Lahore, Pakistan ; Jung, Soon Ki/P-7687-2018; Mahmood, Arif/R-7949-2019 57208735843; 56457652600; 57226792571; 57217701384; 57900161200; 57204720189; 55636036300; 57217701362; 57226791905 mustansar@knu.ac.kr;kamran@nights.ucf.edu;arif.mahmood@itu.edu.pk;skjung@knu.ac.kr; FRONTIERS OF COMPUTER VISION, IW-FCV 2021 1865-0929 1865-0937 1405 0 2025-07-30 0 0 Feature enrichment; Convolutional Neural Networks; Visual Object Tracking; Dual attention Convolutional Neural Networks; Dual attention; Feature enrichment; Visual Object Tracking Computer vision; Convolutional neural networks; Template matching; Contextual information; Conventional approach; Enrichment modules; Feature representation; Spatial informations; Target estimations; Tracker accuracy; Tracking problem; Object tracking English 2021 2021 10.1007/978-3-030-81638-4_2 바로가기 바로가기 바로가기
Article ROI-based Calibration Algorithm of Camera-Lidar Sensor Fusion That is Strong in Object Recognition and Distance Information Extraction In an autonomous vehicle, accurate location recognition with an object on the road is a very important factor for driving safety. In this paper, we propose an region of interest (ROI)-based location information extraction algorithm that converges a camera and a lidar for accurate location extraction of an object. In general, when the camera and lidar are fused to match the position of an object, a target board such as a chess board is used to calibrate the position difference between the sensors. In the area of interest for object recognition of an autonomous vehicle, a difference in the positions of the camera and lidar occurs depending on the position of the object due to the wide road environment. The proposed algorithm divides the camera image into multiple ROIs and performs the position matching of the camera and lidar independently for each area. We verify the accuracy of the proposed ROI-based positioning algorithm in virtual and real road environment. © 2021, Korean Institute of Communications and Information Sciences. All rights reserved. Yoon, Young Jin; Han, Dong Seog Kyungpook National University, School of Electronics Engineering, South Korea; Kyungpook National University, School of Electronics Engineering, South Korea 57223310857; 7403219442 dshan@knu.ac.kr; Journal of Korean Institute of Communications and Information Sciences 1226-4717 46 12 0.07 2025-07-30 1 Autonomous driving; Calibration; Object detection; Sensor Fusion Korean Final 2021 10.7840/kics.2021.46.12.2301 바로가기 바로가기
Review Role of Branched-chain Amino Acid Metabolism in Tumor Development and Progression Branched-chain amino acids (BCAAs), isoleucine, leucine and valine, are essential amino acids with vital roles in protein synthesis and energy production. We reviewed the fundamentals of BCAA metabolism in advanced cancer patients. BCAAs and various catabolic products act as signalling molecules, which activate mechanisms ranging from protein synthesis to insulin secretion. Recently, BCAA metabolism has been suggested to contribute to cancer progression. Of particular interest is the modulation of the mTOR activity by BCAAs. There are likely multiple pathways involved in BCAA metabolism implicated in carcinogenesis. Understanding the mechanism(s) underlying altered BCAAs metabolism will significantly advance the current understanding of nutrient involvement in carcinogenesis and direct future studies to unravel the significance of BCCA metabolites in tumor development and progression. Jung, Min Kyu; Okekunle, Akinkunmi Paul; Lee, Jung Eun; Sung, Mi Kyung; Lim, Yun Jeong Kyungpook Natl Univ Hosp, Dept Internal Med, Div Gastroenterol & Hepatol, Daegu, South Korea; Seoul Natl Univ, Coll Human Ecol, Dept Food & Nutr, Seoul, South Korea; Seoul Natl Univ, Res Inst Human Ecol, Seoul, South Korea; Sookmyung Womens Univ, Dept Food & Nutr, Seoul, South Korea; Dongguk Univ, Coll Med, Dept Internal Med, Ilsan Hosp, Goyang, South Korea Okekunle, Akinkunmi/AAC-9804-2020; LIM, Yun Jeong/KVY-6446-2024; Lee, Jung/AAC-5634-2020; kim, juhee/HKV-6163-2023 drlimyj@gmail.oom; JOURNAL OF CANCER PREVENTION J CANCER PREV 2288-3649 2288-3657 26 4 ESCI ONCOLOGY 2021 N/A 43 Amino acids; branched-chain; Isoleucine; Leucine; Valine; Neoplasm PROMOTES CELL-PROLIFERATION; LEUCINE METABOLISM; SKELETAL-MUSCLE; BCAT1 PROMOTES; PROTEIN-INTAKE; COLON-CANCER; WHOLE-BODY; INSULIN; PATHWAY; GROWTH English 2021 2021-12-30 10.15430/jcp.2021.26.4.237 바로가기 바로가기 바로가기
Book chapter Role of Nanotechnology in Coronavirus Detection To forestall the continuous spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, various guidelines were rolled out by the World Health Organization and various governments of different countries that were most affected. This was done in addition to early detection challenges and limited tests that may endanger the populace during the ongoing widespread coronavirus. Having understood the dynamism in terms of viral replications and development of the COVID-19 to an appreciable extent, 47 different testing procedures, including nucleic acid and protein-based tests, are available and currently being utilized despite the challenges of optimization and viral load change. Therefore, there is a need for point-of-care devices for self-diagnosis, which will be fast, accurate, and cheap. Nanotechnology had gained lots of prominence in bioengineering, biomedical, and medicine aspects of drug development, delivery, and biosensor development. Nano-based biosensors can be deployed to detect diseases at the early stages of infection because of their reliability, sensitivity, and reduction in the use of chemical reagents for analysis. However, few studies have been conducted on the extent of adverse use of the nanoparticles in healthcare applications - which are scalability, inhalation, and the nanotoxicity that have to do with hepatotoxicity, cardiotoxicity, immunotoxicity, nephrotoxicity, and genotoxicity. These side effects of the nanoparticles may occur in organs such as the liver, spleen, lungs, kidney, and heart when they absorb materials that are injected into the body system, thereby generating toxic products. Nevertheless, methods of determining the toxicity of NPs have been developed, and the usage was found effective for silica-based NP on kidney cells, while further investigations are required to broaden the scope by exploring other nanoparticles. Because nanotechnology has the proven potentials in combating SARS-CoV-2 and other viruses in aspects of detections, vaccine development, and delivery, this technology and also the emerging ones do have hidden risks; therefore, the risk assessment in its utilization (in vivo and in vitro) has to be carried out to reduce the hazards to an allowable limit. © 2021 WILEY-VCH GmbH, Boschstr. 12, 69469 Weinheim, Germany. Tiamiyu, AbdulGafar O.; Adelodun, Bashir; Bakare, Hashim O.; Ajibade, Fidelis O.; Kareem, Kola Y.; Ibrahim, Rahmat G.; Odey, Golden; Goala, Madhumita; Adeniran, Jamiu A. University of Ilorin, Department of Chemical Engineering, PMB 1515, Ilorin, Nigeria; University of Ilorin, Department of Agricultural and Biosystems Engineering, PMB 1515, Ilorin, Nigeria, Kyungpook National University, Department of Agricultural Civil Engineering, Daegu, 41566, South Korea; University of Ilorin, Department of Chemical Engineering, PMB 1515, Ilorin, Nigeria; Federal University of Technology, Department of Civil and Environmental Engineering, PMB 704, Akure, Nigeria, Chinese Academy of Sciences, Research Centre for Eco-Environmental Sciences, Key Laboratory of Environmental Biotechnology, Beijing, 100085, China, University of Chinese Academy of Sciences, Beijing, 100049, China; University of Ilorin, Department of Agricultural and Biosystems Engineering, PMB 1515, Ilorin, Nigeria; Kwara State Ministry of Health, Kwara State, Ilorin, Nigeria; Kyungpook National University, Department of Agricultural Civil Engineering, Daegu, 41566, South Korea; Affiliated Assam University, Nehru College, Cachar, Assam, Pailapool, Silchar, 788098, India; University of Ilorin, Department of Chemical Engineering, Environmental Engineering Research Laboratory, PMB 1515, Ilorin, Nigeria, Peking University, Department of Atmospheric and Oceanic Sciences, Atmospheric Chemistry and Modeling Group, Beijing, China 57219473595; 57193774482; 57217480405; 57190341647; 57217253943; 57217480064; 57211444984; 57221943148; 56069357600 Detection and Analysis of SARS Coronavirus: Advanced Biosensors for Pandemic Viruses and Related Pathogens 2.13 2025-07-30 7 English Final 2021 10.1002/9783527832521.ch6 바로가기 바로가기
Article Role of the TAS2R38 Bitter Taste Receptor Gene Single Nucleotide Polymorphism in Patients with Taste Disorders Background and Objectives Several studies have shown that three single nucleotide polymorphisms (SNPs) in the TAS2R38 gene demonstrate a strong association with the ability to sense the bitter taste of phenylthiocarbamide (PTC) in. We have previously reported about TAS2R38 genotypes in normal volunteers. The aim of this study was to investigate the role TAS2R38 gene plays in taste disorder by examining SNPs in the TAS2R38 gene in taste disorder patients. Subjects and Method Ninety-four patients with taste dysfunction from multiple etiologies were enrolled. The genotypes were defined by identifying SNPs on the TAS2R38 gene. The proportion of different TAS2R38 genotypes in the group was compared with that in the normal volunteers of our previous study. The whole mouth taste threshold tests were performed and the thresholds were compared among the three different genotypic groups. Results The proportion of each diplotype in taste disorder patients were as follows: PAV/ PAV 36.2% (34/94), PAV/AVI 34.0% (32/94), and AVI/AVI 29.8% (28/94). The proportion of AVI/AVI type was higher in the group than in the normal volunteers (p=0.031). The detection and recognition thresholds of all four basic tastes were increased in the order of PAV/PAV, PAV/AVI, and AVI/AVI genotypes. Conclusion The proportion of AVI/AVI homozygous was significantly higher in taste disorder patients than in the normal volunteers. Our findings suggest that the genotypes of TAS2R38 may represent one of the risk factors responsible for the development of taste disorders. Korean J Otorhinolaryngol-Head Neck Surg 2021;64(11):800-5 800 Copyright© 2021 Korean Society of Otorhinolaryngology-Head and Neck Surgery Kang, Byung-Jun; Park, Jin-Woo; Geum, Sang-Yen; Kim, Un-Kyung; Shin, Seung-Heon; Ye, Mi-Kyung Department of Otorhinolaryngology-Head and Neck Surgery, School of Medicine, Daegu Catholic University, Daegu, South Korea; Department of Otorhinolaryngology-Head and Neck Surgery, School of Medicine, Daegu Catholic University, Daegu, South Korea; Department of Otorhinolaryngology-Head and Neck Surgery, School of Medicine, Daegu Catholic University, Daegu, South Korea; Departement of Biology, College of Natural Science, Kyungpook National University, Daegu, South Korea; Department of Otorhinolaryngology-Head and Neck Surgery, School of Medicine, Daegu Catholic University, Daegu, South Korea; Department of Otorhinolaryngology-Head and Neck Surgery, School of Medicine, Daegu Catholic University, Daegu, South Korea 57223196142; 57365802600; 57366095900; 7102248968; 7403646838; 8712553300 miky@cu.ac.kr; Korean Journal of Otorhinolaryngology-Head and Neck Surgery 2092-6529 64 11 0 2025-07-30 0 Genetics; Phenylthiocarbamide; Polymorphism; Single nucleotide; Taste disorders; Taste receptors; Type2 Korean Final 2021 10.3342/kjorl-hns.2021.00486 바로가기 바로가기
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