연구성과로 돌아가기
2024 연구성과 (265 / 286)
※ 컨트롤 + 클릭으로 열별 다중 정렬 가능합니다.
Excel 다운로드
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ○ | Conference paper | Handle Dense Labeling in Human Activity Recognition Using Self Attention and BiLSTM | Dense labeling, which annotates an activity label for each data sample in the segment, is a common approach to handle the problem of multi-class windows in wearable sensor-based human activity recognition. Recent success in image-based semantic segmentation offers opportunities to solve this problem by using well-known fully convolutional neural networks. However, the long-Term dependencies of human activity are often ignored in these works, thus, lead to unstable prediction results. In this study, we address this problem by proposing a hybrid deep learning system that can effectively extract the context information from the sequential sensor data and densely predict the activity for each data sample. The system is constructed from two main components: 1) a transformer encoder with multi-head self-Attention modules that capture the relationship between data samples and extract the salient features from long sequential data, 2) a bidirectional long short-Term memory (BiLSTM) maintains the long-Term temporal information in human activity. Our experiments on the UCI HAPT public dataset indicate that the proposed hybrid model achieves an accuracy of 93.41%, which is 2% higher compared to other state-of-The-Art image-based dense labeling HAR models. © 2024 IEEE. | Thu, Nguyen Thi Hoai; Han, Dong Seog | Kyungpook National University, School of Electronic and Electrical Engineering Graduate School, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea | 57216620557; 7403219442 | thunguyen@knu.ac.kr; | Digest of Technical Papers - IEEE International Conference on Consumer Electronics | 0747-668X | 0 | 2025-04-16 | 0 | activity recognition; deep learning; dense labeling; wearable sensors | Convolutional neural networks; Data mining; Deep learning; Learning systems; Pattern recognition; Semantic Segmentation; Semantics; Activity recognition; Convolutional neural network; Data sample; Deep learning; Dense labeling; Human activities; Human activity recognition; Image-based; Labelings; Semantic segmentation; Wearable sensors | English | Final | 2024 | 10.1109/icce59016.2024.10444332 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | Article | Hardware-in-the Loop Simulation for Testing of Condition Monitoring and Fault Diagnosis Algorithms for a Scrubber Fan System | Simulation-based validation is a vital approach for evaluating the performance of algorithms in a virtual setting by inducing faults and assessing their responses. This method proves essential for cost and time savings while addressing the challenges associated with acquiring real-world data. The hardware-in-the-loop simulation (HILS) technique has emerged as a valuable tool for creating a realistic and dependable simulation environment that interacts with real systems. This approach allows flexible modification and enhancement of state monitoring algorithms. In this study, we integrate a sensor system designed for remotely monitoring industrial scrubber fan systems with an actual scrubber fan setup. The monitoring algorithm undergoes testing using the HILS technique, employing a virtual fault injection system. © ICROS 2024. | Kim, Jaehoon; Song, Moogeun; Lee, Dongik | Agency for Defense Development, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, South Korea | 57202767865; 25930551000; 55698910600 | dilee@ee.knu.ac.kr; | Journal of Institute of Control, Robotics and Systems | 1976-5622 | 30 | 1 | 0 | 2025-04-16 | 0 | condition monitoring; fault diagnosis; fault injection; HILS | Failure analysis; Fault detection; Hardware-in-the-loop simulation; Software testing; Synthetic apertures; Traction (friction); Condition monitoring and faults diagnosis; Diagnosis algorithms; Fan systems; Fault injection; Faults diagnosis; Hardwarein-the-loop simulations (HIL); Monitoring algorithms; Performance of algorithm; Simulation technique; Simulation-based validation; Condition monitoring | Korean | Final | 2024 | 10.5302/j.icros.2024.23.0142 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Conference paper | Heart Disease Detection Model Using Support Vector Machine with Feature Selection | Heart disease has recently risen to prominence as one of the leading killers and most pervasive diseases in the globe. Detection of heart disease in an early stage using heart disease symptoms is an exciting task. In developing nations such as Ethiopia where the number of cardiologists is limited and most of the population lives in rural and remote areas, an effective decision support system is crucial to saving a life by detecting heart disease at an early stage. Many studies exist in scientific literature which focus on the design and implementation of an intelligent automated system for solving the challenges in heart disease detection. However, the existing work in the literature has larger scope for improvement and the performance of the medical decision support system is required to have higher precision to detect heart disease accurately. Thus, this study extends the existing work by proposing a more efficient model for heart disease detection. Overall, we have proposed a state-of-the-art heart disease detection model with a predictive accuracy of 98.60 % using support vector machine and sequential feature selection. © 2024 IEEE. | Salau, Ayodeji Olalekan; Assegie, Tsehay Admassu; Chhabra, Gunjan; Kaushik, Keshav; Braide, Sepiribo Lucky | Afe Babalola University, Department of Electrical/Electronics and Computer Engineering, Ado-Ekiti, Nigeria; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Graphic Era Hill University, Department of CSE, Uttarakhand, Dehradun, India, Graphic Era Deemed to be University, Uttarakhand, Dehradun, India; University of Petroleum and Energy Studies, School of Computer Science, Uttarakhand, Dehradun, India; Rivers State University, Department of Electrical and Electronics Engineering, Port Harcourt, 5080, Nigeria | 57204911824; 57209398365; 57190971022; 57189443247; 55345584600 | ayodejisalau98@gmail.com; | Proceedings - 2nd International Conference on Advancement in Computation and Computer Technologies, InCACCT 2024 | 5.64 | 2025-04-16 | 3 | heart disease classification; Heart disease diagnosis; model optimization; Sequential feature selection; SVM | Automation; Cardiology; Computer aided diagnosis; Decision support systems; Diseases; Feature Selection; Heart; Detection models; Disease classification; Disease detection; Heart disease; Heart disease classification; Heart disease diagnosis; Model optimization; Sequential feature selections; Support vectors machine; SVM; Support vector machines | English | Final | 2024 | 10.1109/incacct61598.2024.10550988 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Article | Heart Disease Detection: A Comprehensive Analysis of Machine Learning, Ensemble Learning, and Deep Learning Algorithms | Heart disease is a major health concern impacting a significant number of individuals. Early detection is crucial for effective treatment and management. Conventional techniques for the detection of heart diseases are time-consuming, inconvenient, expensive, and unsuitable for diagnosis. To take advantage of innovative approaches such as artificial intelligence (AI), this paper presents the detection of heart diseases at an early stage and enhances the accuracy of AI models for predictions, because accurate identification is crucial in the early stages, if not detected promptly, it may lead to death. Two methods are employed for the early detection of heart disease. In the first approach, traditional machine learning, ensemble learning, and artificial neural networks are utilized. In the second approach, a hybridization approach is applied to machine and ensemble learning algorithms to boost model performance. The heartₛₜₐₜₗₒgcₗₑᵥₑₗₐₙdₕᵤₙgₐᵣyfᵢₙₐₗ dataset is utilized and split using k-fold cross-validation with a value of k set at 10. The performance metrics such as accuracy, sensitivity, specificity, precision, and F1 score are calculated. The results indicate that the hybrid technique, namely Bagging combined with random forest (RF), emerges as the top performer, boasting the highest average accuracy of 94.34%, average specificity of 93.7%, average sensitivity of 93.5%, average precision 94%, and an average F1 score of 94.2%. In conclusion, the hybrid approach of Bagging with RF would be better for detecting heart disease at an early stage. © The author(s) 2024. | Khan, Haseeb; Bilal, Ahmad; Aslam, Muhmmad Aqeel; Mustafa, Hira | School of Mechanical Engineering, Kyungpook National University, South Korea; Department of Electrical and Computer Engineering, Habib University, Pakistan; Department of Electrical Engineering, GIFT University, Gujranwala, Pakistan; Department of Electrical and Computer Engineering, Habib University, Pakistan | 58990892000; 55502740100; 59102807200; 58990616300 | haseebkhanuet@gmail.com; | Nano Biomedicine and Engineering | 2150-5578 | 16 | 4 | 0.79 | 2025-05-07 | 3 | deep learning; ensemble learning; heart diseases; hybridization; machine learning | adult; aged; Article; artificial neural network; Bayesian learning; bootstrapping; decision tree; deep learning; diagnostic accuracy; discriminant analysis; early diagnosis; ensemble learning; extreme gradient boosting; false negative result; genetic algorithm; gradient boosting; heart disease; human; k fold cross validation; k nearest neighbor; learning algorithm; light gradient boosting; logistic regression analysis; machine learning; male; multilayer perceptron; prediction; principal component analysis; random forest; sensitivity and specificity; stochastic model; support vector machine | English | Final | 2024 | 10.26599/nbe.2024.9290087 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Article | Heart Rate Variability Biofeedback and Cognitive Restructuring for Self-Regulation: A Case Study | This study investigated the effects of a psychophysiological intervention programmed, comprising heart rate variability biofeedback (HRV BFB) and cognitive restructuring (CR), on the self-regulation skills of an 18-year-old female squash athlete who represents the Korean national team. The participant underwent ten programme sessions in a laboratory. HRV was measured during a 10-minute baseline period of natural breathing and during BFB-guided breathing exercises. Two questionnaires, the Competitive State Anxiety Inventory-2 (CSAI-2) and the Cognitive Emotion Regulation Questionnaire (CERQ), were used to assess the participant's psychological state. Descriptive statistics were employed to analyze changes in HRV and psychological state from the initial test to the post-test. Qualitative findings indicated improvements in the participant's self-regulation skills, particularly in her ability to transform negative thoughts. In conclusion, the intervention programme shows potential in enhancing self-regulation skills to the athlete. The combination of HRV biofeedback and cognitive restructuring appears to lead to positive changes in self-regulation, which could benefit athletes in managing their psychological state and improving competitive performance. Further research and practical applications are continued needed to fully explore the programme's efficacy. © 2024 Nevzat Demirci. All rights reserved. | Kim, Boram; Hwang, Seunghyun; Kang, Hoseok | Department of Kinesiology, Kyungpook National University, South Korea; Department of Kinesiology, Kyungpook National University, South Korea; Korea Squash Federation, South Korea | 57221703441; 55571144800; 57222336347 | hwangsh@knu.ac.kr; | International Journal of Disabilities Sports and Health Sciences | 2645-9094 | 7 | 1 | 0 | 2025-04-16 | 0 | Athletes; Biofeedback Training; Breathing; Cognitive Restructuring; Heart Rate Variability; Self-Regulation | English | Final | 2024 | 10.33438/ijdshs.1360544 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Proceedings Paper | Hierarchical Motion Planning and Offline Robust Model Predictive Control for Autonomous Vehicles | Driving vehicles in complex scenarios under harsh conditions is the biggest challenge for autonomous vehicles (AVs). To address this issue, we propose hierarchical motion planning and robust control strategy using the front active steering system in complex scenarios with various slippery road adhesion coefficients while considering vehicle uncertain parameters. Behaviors of human vehicles (HVs) are considered and modeled in the form of a car-following model via the Intelligent Driver Model (IDM). Then, in the upper layer, the motion planner first generates an optimal trajectory by using the artificial potential field (APF) algorithm to formulate any surrounding objects, e.g., road marks, boundaries, and static/dynamic obstacles. To track the generated optimal trajectory, in the lower layer, an offline-constrained output feedback robust model predictive control (RMPC) is employed for the linear parameter varying (LPV) system by applying linear matrix inequality (LMI) optimization method that ensures the robustness against the model parameter uncertainties. Furthermore, by augmenting the system model, our proposed approach, called offline RMPC, achieves outstanding efficiency compared to three existing RMPC approaches, e.g., offset-offline RMPC, online RMPC, and offline RMPC without an augmented model (offline RMPC w/o AM), in both improving computing time and reducing input vibrations. | Nguyen, Hung Duy; Vu, Minh Nhat; Nam, Nguyen Ngoc; Han, Kyoungseok | TU Wien, Automat & Control Inst ACIN, A-1040 Vienna, Austria; Austrian Inst Technol GmbH AIT, A-1210 Vienna, Austria; Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea; Phenikaa Univ, Fac Elect & Elect Engn, Hanoi 12116, Vietnam | ; Nam, Nguyen/AAM-6955-2021; Nguyen, Hung/JXL-7245-2024 | 57225877690; 57195557166; 57194459340; 56465294700 | nguyen@acin.tuwien.ac.at;vu@acin.tuwien.ac.at;nnnam@knu.ac.kr;kyoungsh@knu.ac.kr; | 2024 AMERICAN CONTROL CONFERENCE, ACC 2024 | 0743-1619 | 2378-5861 | 2.84 | 2025-05-07 | 2 | 2 | Autonomous vehicles; Constrained optimization; Linear matrix inequalities; Magnetic levitation vehicles; Motion planning; Robust control; Robustness (control systems); Steering; Active steering; Adhesion coefficient; Autonomous Vehicles; Condition; Control strategies; Motion-planning; Offline; Optimal trajectories; Robust model predictive control; Steering systems; Predictive control systems | English | 2024 | 2024 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||||
| ○ | Conference paper | High-Efficiency GaN Vertical PiN Diode Power Devices for Satellite Communications in 6G Networks | 6G telecommunication technology has received considerable attention because of the increased data for communication and data processing for AI hardware. One of the key technology of 6G telecommunication is power efficiency to reduce power loss for fast switching and high power with high breakdown voltage. In this regard, GaN is promising material candidates for high power and high current applications due to its superior material properties like wide bandgap(3.4 ev), high critical electric field(3.5 MV /cm), high electron saturation velocities and low switching losses for using next-generation power devices in 6G telecommunication technology. In this study, enhanced contact method on p-type GaN is presented for vertical GaN-based power devices such as PiN diode and vertical trench MOSFET. Vertical GaN-on-GaN PiN diode with low contact resistance on p-GaN is fabricated and its device performance with contact characteristics will be discussed. © 2024 IEEE. | Kim, Donghan; Kwak, Hyeon-Tak; Lee, Hyun-Woo; Park, Hongsik; Moon, Soo-Young; Kwak, Hoe-Min; Bae, Sung-Bum; Lee, Hyung-Seok | Electronics and Telecommunications Research Institute (ETRI), Thin GaN material & device Creative Research Section, Daejeon, South Korea; Electronics and Telecommunications Research Institute (ETRI), Thin GaN material & device Creative Research Section, Daejeon, South Korea; Electronics and Telecommunications Research Institute (ETRI), Thin GaN material & device Creative Research Section, Daejeon, South Korea; School of Electronics Engineering, Kyungpook National University, Daegu, South Korea; Electronics and Telecommunications Research Institute (ETRI), Thin GaN material & device Creative Research Section, Daejeon, South Korea; Electronics and Telecommunications Research Institute (ETRI), Thin GaN material & device Creative Research Section, Daejeon, South Korea; Electronics and Telecommunications Research Institute (ETRI), Thin GaN material & device Creative Research Section, Daejeon, South Korea; Electronics and Telecommunications Research Institute (ETRI), Thin GaN material & device Creative Research Section, Daejeon, South Korea | 57218106033; 59553786400; 57202036981; 35366976200; 59553369900; 57192696719; 7202714622; 13806131400 | International Conference on ICT Convergence | 2162-1233 | 0 | 2025-05-07 | 0 | Ohmic Contact; p-type GaN; PiN Diode | Communication satellites; Data reduction; III-V semiconductors; MOS devices; Pentodes; PIN diodes; Power MOSFET; Power semiconductor diodes; Satellite communication systems; Semiconducting indium phosphide; Silicon nitride; Thyristors; Wide band gap semiconductors; High power; Higher efficiency; Key technologies; P-type; P-type GaN; PiN diode; Power devices; Power-efficiency; Satellite communications; Telecommunications technologies; Gallium nitride | English | Final | 2024 | 10.1109/ictc62082.2024.10826709 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Article | High-Repetition Pulse Dielectric Barrier Discharge Characteristics According to Flow Rate Changes; [유량 변화에 따른 고반복 펄스 유전체 장벽 방전 특성] | A nanosecond pulse dielectric barrier discharge (NPDBD) technique is attracting attention due to the fact that it produces uniform discharge and energetic electrons at atmospheric pressure. However, there has been a lack of research on NPDBD characteristics when high-repetition pulses can be processed quickly in a short period of time. Therefore, in this study, in order to identify the characteristics of high-repetition NPDBD according to flow rate, discharge characteristics were analyzed through discharge current and the Lissajous curve. As a result, as the flow rate increased, charge transfer decreased, wall voltage dropped due to a reduction in residual charge, and a current delay occurred. In addition, the breakdown voltage increased, and fillamentary discharge formed. This study's findings are expected to be extremely useful in the future when high-repetition nanosecond pulse power supply is used for efficient processing in a short period of time in a variety of plasma-based applications. Copyright © The Korean Institute of Electrical Engineers. | Kim, Seong-Hun; Kim, Jin-Gyu | School of Electronic and Electrical Engineering, Kyungpook National University, South Korea; Department of Electrical Engineering, School of Electronic and Electrical Engineering, Kyungpook National University, South Korea | 58464715100; 54680957000 | kjg@knu.ac.kr; | Transactions of the Korean Institute of Electrical Engineers | 1975-8359 | 73 | 12 | 0 | 2025-05-07 | 0 | Discharge current; Flow rate; High-repetition; Lissajous curve; Pulse DBD | Dielectric barrier discharge; Electric breakdown; Plasma applications; Dielectric barrier discharges; Discharge characteristics; Discharges currents; Flow rate changes; High repetition; Lissajous curves; Nanosecond pulse; Pulse DBD; Repetition pulse; Short periods; Dielectric devices | Korean | Final | 2024 | 10.5370/kiee.2024.73.12.2305 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Conference paper | High-Resolution Optical Imaging Incorporated Non-Destructive Morphological Boundary Detection of Fruit Disorders: A Pilot Study | Plant diseases caused by various pathogens, such as fungi, bacteria, and viruses, lead to significant reductions in crop yield and quality. Early detection of these diseases is critical for preventing their spread and optimizing crop yield. Traditional methods of disease detection, while effective, often involve invasive or time-consuming procedures that may not provide real-time insights. This study investigates the use of Swept-Source Optical Coherence Tomography (SS-OCT) for non-destructive, high-resolution imaging to identify morphological abnormalities in fruit specimens affected by diseases. The research focuses on differentiating healthy regions, healthy boundaries, infected boundaries, and fully infected regions in apples. Using a 1310 nm center wavelength laser, the SS-OCT system captured detailed cross-sectional images of fruit tissue, revealing microstructural changes associated with disease progression. A qualitative assessment of the two-dimensional (2D) OCT images highlighted distinct layers in healthy tissues, noticeable structural deformities, and the merging of microstructural layers in the boundary and infected regions. Quantitative depth-profile analysis of axial-direction A-scan profiles further demonstrated the reduction and merging of intensity peaks correlating with tissue abnormalities in infected fruit specimens. These findings underscore the potential of SS-OCT as an effective tool for early disease detection in agricultural products, providing a means for timely intervention and optimized postharvest management. © 2024 IEEE. | Hakmana, Nethmi Tharushi; Kahatapitiya, Nipun Shantha; Weerasinghe, Sasmitha; Kalupahana, Deshan; Silva, Bhagya Nathali; Ravichandran, Naresh Kumar; Seong, Daewoon; Han, Sangyeob; Lee, Seung Yeol; June, Hee-Young; Jeon, Mansik; Kim, Jeehyun; Wijenayake, Udaya; Wijesinghe, Ruchire Eranga | Faculty of Engineering, Sri Lanka Institute of Information Technology, Department of Mechanical Engineering, Malabe, Sri Lanka; Faculty of Engineering, University of Sri Jayewardenepura, Department of Computer Engineering, Nugegoda, Sri Lanka; Faculty of Engineering, Sri Lanka Institute of Information Technology, Department of Mechanical Engineering, Malabe, Sri Lanka; Faculty of Engineering, University of Sri Jayewardenepura, Department of Computer Engineering, Nugegoda, Sri Lanka; Faculty of Computing, Sri Lanka Institute of Information Technology, Department of Information Technology, Malabe, Sri Lanka, Center for Excellence in Informatics, Electronics & Transmission (CIET), Sri Lanka Institute of Information Technology, Malabe, Sri Lanka; Center for Scientific Instrumentation, Korea Basic Science Institute, Daejeon, South Korea; School of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, South Korea; ICT Convergence Research Center, Kyungpook National University, Daegu, South Korea; Kyungpook National University, Department of Plant Medicine, Daegu, South Korea, Institute of Plant Medicine, Kyungpook National University, Daegu, South Korea; Kyungpook National University, Department of Plant Medicine, Daegu, South Korea, Institute of Plant Medicine, Kyungpook National University, Daegu, South Korea; School of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, South Korea; School of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, South Korea; Faculty of Engineering, University of Sri Jayewardenepura, Department of Computer Engineering, Nugegoda, Sri Lanka; Center for Excellence in Informatics, Electronics & Transmission (CIET), Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Faculty of Engineering, Sri Lanka Institute of Information Technology, Department of Electrical and Electronic Engineering, Malabe, Sri Lanka | 59590892600; 58781581100; 57461911700; 59302759700; 57192304387; 57125825900; 57212512353; 57193695305; 56106499600; 59588407500; 24171094000; 7601373350; 55547801900; 56018152300 | 2024 6th International Conference on Advancements in Computing, ICAC 2024 | 0 | 2025-05-07 | 0 | agricultural diagnostics; fruit morphology analysis; morphological abnormalities; non-destructive imaging; swept-source optical coherence tomography | Optical coherence tomography; Optical tomography; % reductions; Agricultural diagnostic; Crop yield; Fruit morphology analyze; High resolution optical imaging; Morphological abnormality; Morphology analysis; Non destructive; Non-destructive imaging; Swept source optical coherence tomographies; Fruits | English | Final | 2024 | 10.1109/icac64487.2024.10850896 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | ○ | Proceedings Paper | Highly Contro lable Probabilistic Bits Leveraging Instability of SiOx-Based Threshold Switching Devices for Probabilistic Computing | We demonstrate probabilistic bits (P-bits) with a novel Ti/SiOx/Ti stack, which is a fundamental building block for probabilistic computing. Nanoscale SiOx, devices typically exhibit threshold switching (TS) characteristics, generating reliable voltage oscillations at a given input voltage (V-in) pulse. Here, we introduce a chemically reactive Ti scavenging layer at the interface between the electrode and SiOx, to promote the instability of TS, causing variation. This leads to the random voltage oscillation with the unexpected failure to represent the data '1', enabling stochastic P-bit operation. More importantly, the SiOx, film sandwiched with Ti layers at both interfaces allows the probability of data '1' (P-1) to be precisely controlled as a function of V-in. This results in a sigmoidal Pi curve over a wide range of V-in greater than 1.4 V. Therefore, leveraging the developed SiOx-based P-bit can speed up the algorithm for finding the optimal path in the vehicle routing problem, which is verified through MATLAB simulation. | Choi, Hyeonsik; Kim, Hyun Wook; Hong, Eunryeong; Kim, Nayeon; Jeon, Seonuk; Kim, Yunsur; Park, Hyoungjin; Jeong, Jiae; Woo, Jiyong | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea | 58835686900; 57557016000; 57556070800; 59884547500; 57955098300; 58847712800; 58964076600; 58963433800; 53985749100 | jiyong.woo@knu.ac.kr; | 2024 50TH IEEE EUROPEAN SOLID-STATE ELECTRONICS RESEARCH CONFERENCE, ESSERC 2024 | 1930-8833 | 2.51 | 2025-05-07 | 1 | 2 | probabilistic bits; threshold switching; Sills; voltage oscillation; probabilistic computing | probabilistic bits; probabilistic computing; SiOx; threshold switching; voltage oscillation | Fundamental building blocks; Nano scale; Probabilistic bit; Probabilistic computing; Probabilistics; SiO x; Siox; Switching devices; Threshold switching; Voltage oscillation; Stochastic systems | English | 2024 | 2024 | 10.1109/esserc62670.2024.10719406 | 바로가기 | 바로가기 | 바로가기 | |||||||||||||
| ○ | Article | Highly Sensitive Platinum-Decorated Tungsten Oxide for Ultra-Low-Concentration Hydrogen Detection | The global transition towards a hydrogen-based economy has increased the need for highly sensitive hydrogen gas sensors capable of detecting ultra-low concentrations. Although conventional hydrogen sensors have been widely studied and applied, they face fun-damental limitations in terms of sensitivity, selectivity, and power consumption at low concentrations. Here, we report a high-per-formance hydrogen sensor based on platinum-decorated tungsten oxide (WO3/Pt) fabricated using MEMS technology. The sensor was systematically constructed through the sequential processes of thermal oxidation, LPCVD, electrode patterning, and membrane for-mation. The WO3/Pt composite, synthesized via a modified wet impregnation method and thoroughly characterized via XRD, demon-strated a uniform platinum distribution on the WO3 surface. The fabricated sensor exhibited exceptional sensitivity across a hydrogen concentration range of 100–500 ppm with enhanced concentration resolution and reproducibility. Under optimal operating conditions at 300°C, the sensor achieved rapid response/recovery kinetics while maintaining a low power consumption of 42.1 mW. The enhanced sensing performance is attributed to the synergistic effects between WO3 and the Pt catalyst, specifically the spillover effect and efficient modulation of the depletion layer at the Pt-WO3 interface. © 2024, Korean Sensors Society. All rights reserved. | Ha, Yuntae; Jung, Dong Geon; Lee, Junyeop; Yang, Yijun; Han, Uksu; Jung, Daewoong | Korea Institute of Industrial Technology, KITECH 320, Techno sunhwan ro, Yuga-eup, Dalseong-gun, Daegu, 42994, South Korea, School of Electronic and Electrical Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu, 41566, South Korea; Korea Institute of Industrial Technology, KITECH 320, Techno sunhwan ro, Yuga-eup, Dalseong-gun, Daegu, 42994, South Korea; Korea Institute of Industrial Technology, KITECH 320, Techno sunhwan ro, Yuga-eup, Dalseong-gun, Daegu, 42994, South Korea; Korea Institute of Industrial Technology, KITECH 320, Techno sunhwan ro, Yuga-eup, Dalseong-gun, Daegu, 42994, South Korea, School of Electronic and Electrical Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu, 41566, South Korea; Korea Institute of Industrial Technology, KITECH 320, Techno sunhwan ro, Yuga-eup, Dalseong-gun, Daegu, 42994, South Korea, School of Electronic and Electrical Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu, 41566, South Korea; Korea Institute of Industrial Technology, KITECH 320, Techno sunhwan ro, Yuga-eup, Dalseong-gun, Daegu, 42994, South Korea | 58018481200; 56675241000; 57203736115; 58142256700; 58927970700; 36019307900 | dwjung@kitech.re.kr; | Journal of Sensor Science and Technology | 1225-5475 | 33 | 6 | 0.45 | 2025-05-07 | 1 | Gas sensor; Hydrogen; Low-concentration detection; Tungsten oxide | English | Final | 2024 | 10.46670/jsst.2024.33.6.504 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Article | Histiocytic sarcoma mimicking localized tenosynovial giant cell tumor in the pediatric foot: A rare case report with MRI Findings | We present a rare case of histiocytic sarcoma (HS) occurring in the foot of a 12-year-old male, initially misdiagnosed as localized tenosynovial giant cell tumor (TSGCT). HS is an exceptionally uncommon hematologic malignant neoplasm, with its occurrence in children and extranodal sites being even rarer. To our knowledge, this is the first reported case of extranodal HS in the foot, emphasizing comprehensive MRI findings. Initially, the patient was diagnosed with TSGCT based on histological results following surgical resection. However, after recurrence and subsequent surgical resection, histological and immunochemical analyses led to a revised diagnosis of HS. This report focuses on the MRI findings of HS, highlighting the distinctions from localized TSGCT. While both conditions share histopathological similarities, immunohistochemical tests are crucial for accurate diagnosis. The report underscores the importance of differentiating HS for appropriate treatment. © 2023 | Khil, Eun Kyung; Cha, Jang Gyu; Yoon, Yu Sung; Kim, Hee Kyung | Department of Radiology, Soonchunhyang University College of Medicine, Fastbone Orthopedic Hospital, Gyeonggi-do, Hwaseong-si, South Korea; Department of Radiology, Soonchunhyang University College of Medicine, Soonchunhyang University Bucheon Hospital, Gyeonggi-do, Bucheon-si, South Korea; Department of Radiology, Soonchunhyang University College of Medicine, Kyungpook National University Hospital, Daegu-si, South Korea; Department of Pathology, Soonchunhyang University College of Medicine, Soonchunhyang University Bucheon Hospital, Gyeonggi-do, Bucheon-si, South Korea | 56019764100; 16027832300; 57414392900; 56714172200 | mj4907@gmail.com; | Radiology Case Reports | 1930-0433 | 19 | 3 | 0 | 2025-05-07 | 0 | Histiocytic sarcoma; MRI; Pediatric; Soft tissue tumor; Tenosynovial giant cell tumor; Ultrasound | CD4 antigen; CD68 antigen; receptor type tyrosine protein phosphatase C; t6 antigen; Article; case report; cell proliferation; child; clinical article; cytoplasm; diagnostic accuracy; differential diagnosis; erythema; excision; follow up; foot disease; giant cell tumor of tendon sheath; histiocytic sarcoma; histopathology; human; human tissue; immunohistochemistry; male; metatarsophalangeal joint; nuclear magnetic resonance imaging; school child; T2 weighted imaging | English | Final | 2024 | 10.1016/j.radcr.2023.12.009 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Article | hMAGEA2 as a potential diagnostic and therapeutic target for melanoma progression and metastasis | The incidence of melanoma, a highly aggressive skin cancer, continues to increase worldwide, particularly among populations with lighter skin tones. The diagnostic challenge of melanoma lies in the absence of a distinctive clinical presentation, as its characteristics vary based on anatomical location, growth type, and histopathology. The melanoma-associated antigen (MAGE) gene family is differentially expressed in various human cancers, including melanoma. In this study, we explored the association between human MAGEA2 (hMAGEA2) expression and melanoma. Using a human melanoma tissue array, we confirmed that hMAGEA2 expression was higher in melanoma and metastatic melanoma than in normal tissues. Additionally, we used SK-MEL-5 and SK-MEL-28 cell lines to investigate the cellular and molecular mechanisms underlying melanoma progression and invasiveness. In SK-MEL-5 and SK-MEL-28 cells, hMAGEA2 overexpression accelerated cell proliferation. Conversely, the knockdown of hMAEGA2 reduced cell proliferation, colony formation, and migration significantly and induced arrest at the G2/M phase of the cell cycle. With respect to the molecular mechanism, the knockdown of hMAGEA2 decreased the phosphorylation of Akt, JNK, and p38 MAPK. Additionally, hMAGEA2 knockdown reduced tumor formation significantly at the in vivo level. Collectively, the robust correlation between hMAGEA2 and melanoma metastasis supports the potential utility of hMAGEA2 as both a diagnostic marker and novel therapeutic target for patients with melanoma metastasis. © 2024 Cellular and Molecular Biology Association. All rights reserved. | Yi, Junkoo; Kim, Chae Yeon; Kim, Hyeonjin; Kim, Eun Gyung; Kim, Do Yoon; Sung, Yonghun; Liu, Kang Dong; Choi, Seong-Kyoon; Ryoo, Zae Young; Park, Song; Kim, Myoung Ok | School of Animal Life Convergence Science, Hankyong National University, Anseong, 17579, South Korea, Gyeonggi Regional Research Center, Hankyong National University, Anseong, 17579, South Korea; Department of Animal Science and Biotechnology, ITRD, Kyungpook National University, Sangju, 37224, South Korea; Department of Animal Science and Biotechnology, ITRD, Kyungpook National University, Sangju, 37224, South Korea; Department of Animal Science and Biotechnology, ITRD, Kyungpook National University, Sangju, 37224, South Korea; Gyeongsangbukdo Livestock Research Institute, Gyeongsang, Yeongju, 36052, South Korea; Preclinical Research Center KMEDIhub, Daegu, 41061, South Korea; China-US (Henan) Hormel Cancer Institute, Zhengzhou, 450008, China; Core Protein Resources Center, DGIST, Daegu, 41566, South Korea; School of Life Sciences, BK21 FOUR KNU Creative Bioresearch, Kyungpook National University, Daegu, 41566, South Korea; Division of Animal Science, Gyeongsang National University, Jinju, 52828, South Korea, Institute of Agriculture and Life Science (IALS), Gyeongsang National University, Jinju, 52828, South Korea; Department of Animal Science and Biotechnology, ITRD, Kyungpook National University, Sangju, 37224, South Korea | 56182537200; 57966906800; 57343180400; 57217871658; 57223194600; 58903739800; 56890019100; 55505432500; 16937104900; 57139047900; 8934745900 | cristaling9816@gnu.ac.kr;ok4325@knu.ac.kr; | Cellular and Molecular Biology | 0145-5680 | 70 | 10 | 0.4 | 2025-05-07 | 1 | Cell growth; Cell-derived xenograft model; MAGEA; Melanoma | Animals; Cell Line, Tumor; Cell Movement; Cell Proliferation; Disease Progression; Female; Gene Expression Regulation, Neoplastic; Gene Knockdown Techniques; Humans; Male; Melanoma; Mice, Nude; Neoplasm Metastasis; Phosphorylation; Proto-Oncogene Proteins c-akt; Signal Transduction; Skin Neoplasms; melanoma antigen; protein kinase B; adult; anatomical location; Article; carcinogenesis; cell cycle; cell cycle M phase; cell proliferation; colony formation; controlled study; etiology; female; histopathology; human; human cell; human tissue; melanoma; metastasis; metastatic melanoma; nonhuman; SK-MEL-28 cell line; SK-MEL-5 cell line; animal; cell motion; cell proliferation; diagnosis; disease exacerbation; gene expression regulation; gene knockdown; genetics; male; metabolism; nude mouse; pathology; phosphorylation; signal transduction; skin tumor; tumor cell line | English | Final | 2024 | 10.14715/cmb/2024.70.10.14 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Article | Homogeneity Evaluation of High Temperature Exposed Concrete Using Mechanical Waves | The purpose of this study is to evaluate the homogeneity of concrete based on its microstructure by measuring random scattering waves and calculating a heterogeneity index for analysis. Concrete exposed to high temperatures was used as a factor degrading the internal homogeneity of concrete, and experiments were conducted on both standard concrete and various types of fiber-reinforced concrete to verify the applicability of the process used to quantify heterogeneity. The method used to analyze internal homogeneity involves calculating a heterogeneity index based on the peak amplitude differences of the random scattering waves. The experiment was conducted on test specimens consisting of standard concrete and nine mixes with four types of fibers (Carbon, Jute, Glass, Steel) mixed at 0.5% and 1% respectively. The exposure temperatures were set at 200°C, 500°C, and 800°C to analyze the changes in homogeneity due to temperature exposure and fiber reinforcement through experimental research. The results indicate that the changes in homogeneity due to fiber reinforcement, as calculated by the algorithm used in this study, were not sensitive, and no clear relationship between homogeneity and strength was observed. While no clear relationship between homogeneity and strength was observed up to 500°C, a significant relationship was noted at 800°C. This suggests that while the algorithm used in this study has difficulty detecting microstructural changes occurring at exposure temperatures up to 500°C, it can detect changes at 800°C. © 2024, Architectural Institute of Korea. All rights reserved. | Kang, Seunggun; Choi, Min-Woo; Choi, Yeol; Kang, Sanggoo | School of Architectural, Kyungpook National University, South Korea; School of Architectural, Kyungpook National University, South Korea; School of Architectural, Kyungpook National University, South Korea; School of Architectural, Kyungpook National University, South Korea | 59360519600; 59361682500; 59510647800; 57211517696 | kangs@knu.ac.kr; | Journal of the Architectural Institute of Korea | 2733-6239 | 40 | 9 | 0 | 2025-05-07 | 0 | Concrete; Homogeneity analysis; Micro-crack; Non-destructive testing; Random scattering wave | Korean | Final | 2024 | 10.5659/jaik.2024.40.9.193 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Proceedings Paper | Horizontal Soft Handover Management in Cell-Free Massive MIMO Networks | Efficient system performance enhancement and reduction of signaling overhead in Cell-Free (CF) networks can be achieved through the strategic design of horizontal soft handover management. However, in a typical CF environment, Access Points (AP) are often collocated at short distances, posing challenges to the efficient design of horizontal soft handovers. Furthermore, utilizing traditional handover techniques in such scenarios can lead to improper handovers and incorrect AP selection. We propose a horizontal handover technique to help CF networks overcome these challenges. The proposed technique comprises three key components: 1) handover triggering, 2) AP selection, and 3) AP clustering. To minimize scanning delays, the handover triggering mechanism relies on sharing Received Signal Strength Indication (RSSI) values among users. Additionally, AP selection and clustering are tailored based on the applications running on the Mobile Node (MN) device. The system is tested across AP distribution scenarios to assess handover delay, throughput, and packet loss. The performance evaluation demonstrates the effectiveness of the proposed system, particularly in dense AP environments with varying numbers of MNs. | Khan, Murad; Joumaa, Chibli; Alothman, Basil; Kim, Dongkyun | Kuwait Univ Sci & Technol, Doha District, Kuwait; Kyungpook Natl Univ, Daegu, South Korea | Alothman, Basil/GLN-3690-2022 | 56151971600; 55406679700; 57202371645; 35753648800 | m.khan@kcst.edu.kw;c.joumaa@kcst.edu.kw;b.alothman@kcst.edu.kw;dongkyun@knu.ac.kr; | 2024 FIFTEENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS, ICUFN 2024 | 2165-8528 | 2165-8536 | 0 | 2025-05-07 | 0 | 0 | Cell-Free Networking; Access Point; Mobility; Handover | MOBILITY | Access Point; Cell-Free Networking; Handover; Mobility | Access point selection; Access points; Cell-free; Cell-free networking; Clusterings; Hand over; Handover management; Handover techniques; Mobility; Soft handover; Packet loss | English | 2024 | 2024 | 10.1109/icufn61752.2024.10625278 | 바로가기 | 바로가기 | 바로가기 |
페이지 이동: