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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 |
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| ○ | Article | RFSoC-Based Transceiver Design for Wideband Channel State Information Acquisition | Channel state information (CSI), originally defined to compensate for distortions in the channel caused by factors such as multipath and to restore transmitted message signals, has since been widely utilized in applications like positioning and sensing due to its ability to identify propagation channel characteristics between the transmitter and receiver, thereby enabling environmental awareness. Furthermore, since channel characteristics can be estimated precisely as the bandwidth of the transmitted and received signals increases, we developed a system to acquire CSI using signals with bandwidths of up to 320 MHz, as specified by the IEEE 802.11be standard, commonly known as Wi-Fi 7. The method of modifying the commercial Wi-Fi modem firmware to obtain CSI requires expert knowledge of firmware, and the development process is complex and has limitations that make it difficult for a typical researcher to perform in practice. To overcome this limitation, we have implemented hardware and software that operate in a software-defined radio (SDR) manner using an RFSoC (radio frequency system on chip) board, and through field experiments, we confirmed that it is possible to acquire CSI corresponding to each bandwidth by transmitting and receiving signals with bandwidths of 20, 40, 80, 160, and 320 MHz. In addition, experimental measurements verified that the characteristics of the estimated channel state varies based on the presence or absence of a line-of-sight (LOS) path between the transmitter and receiver. These findings demonstrate that our system can be utilized to develop future positioning and sensing technologies using Wi-Fi 7. In particular, this paper provides a detailed description of the hardware manufacturing process, which is expected to contribute to the construction of a Wi-Fi standard-compliant system that supports the transmission and reception of signals with a wider bandwidth in the future. © 2025, Korean Institute of Communications and Information Sciences. All rights reserved. | An, Hyeon-Seon; Ha, Young-Hun; Lee, Jong-Uk; Choi, Jeong-Sik; Lee, Soon-Kyo | Kyungpook National University, School of Electronic and Electrical Engineering, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, South Korea; Korea Railroad Research Institute, Department of Advanced Logistics System Research, Innovative Transportation and Logistics Research Center, South Korea | 58783988000; 59517895300; 59517991600; 58534394200; 59913731100 | sklee@krri.re.kr; | Journal of Korean Institute of Communications and Information Sciences | 1226-4717 | 50 | 4 | 0 | 2025-06-11 | 0 | channel state information; direct RF sampling; Software-defined radio; Wi-Fi 7; wideband | Korean | Final | 2025 | 10.7840/kics.2025.50.4.666 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Conference paper | Runtime Embedded Software Malfunction Detection Based on Profile Generation of Current-Level Pattern Matcher | As the demand for high-performance embedded systems grows, the complexity of embedded software increases, potentially leading to software errors and system malfunctions. In this paper, we propose a system to monitor malfunctions caused by software errors by extracting the normal operating current patterns of a target embedded system (TES) in actual operation and comparing them with the real time current TES data. By using a monitoring embedded system (MES), the normal operating current patterns can be automatically generated, making it easy to promptly detect malfunctions in the exposed TES. When the MES detects a malfunction, it applies algorithms to efficiently recover the malfunctioning TES. The proposed system employs two algorithms when a malfunction in the TES is detected. First, upon detecting a malfunction, the MES resets TES to restore it to normal operation. If the malfunction persists after the reset, the MES controls the TES to completely halt operation. Second, if a malfunction is detected, it stabilizes the abnormal current state to the normal current state through a proportional integral derivation (PID) control. The TES typically consumes about 75 to 95 mA of current during normal operation. The MES applies a specific error detection rate of 20 %, considering any consumption above 114 mA a malfunction and using the algorithms to control it. The system has been verified to reset TES upon detecting a malfunction and to stabilize the operational current through PID control during abnormal current states. © 2025 IEEE. | Lee, Sanghoon; Park, Daejin | Software Disaster Research Center, Kyungpook National University, Daegu, South Korea; School of Electronics Engineering, Kyungpook National University, Daegu, South Korea | 57254873100; 55463943600 | 2025 International Conference on Electronics, Information, and Communication, ICEIC 2025 | 0 | 2025-05-07 | 0 | Embedded System; Malfunction Monitoring; Pattern Comparison; Software Errors; System Malfunction | Current patterns; Embedded-system; Malfunction monitoring; Normal operations; Operating currents; Pattern comparison; Proportional integral; Software errors; System malfunction; Embedded software | English | Final | 2025 | 10.1109/iceic64972.2025.10879721 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | Conference paper | Segmentation of Ship Propeller Cavitation Area Using Image-Based Anomaly Detection Network | Cavitation is the formation of vapor-filled cavities in the liquid. Cavitation in rotating propeller can cause various engineering problems to ships, such as hull vibration, noise, thrust reduction, and propeller corrosion. To address this cavitation problem in designing ship propellers, it needs to analyze the cavitation phenomenon in real propellers. In this study, we introduce a computer vision method to detect and segment cavitation areas in a rotating propeller. The pro-posed method captures the images of a high-speed rotating propeller in a water tunnel and detect the image area of the cavitation. As the first study in the im-age-based automatic cavitation detection, we employ a deep neural network, an anomaly detection method called DDAD (Anomaly Detection with Conditioned Denoising Diffusion Models). In addition, we also use a STN (Spatial Transformer Networks) network to compensate the image shaking caused by the vibration from the high-speed propeller and water flow. After the STN compensation, normal and abnormal images are automatically aligned to find cavitation areas more accurately. The proposed method is the first to use an anomaly detection network for ship propeller cavitation detection. Experimental results show that the proposed method can automatically detect the cavitation area without any annotation supervision. © 2025 IEEE. | Jeong, Wonje; Shin, Yong-Jin; Park, Soon-Yong | Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, 41566, South Korea; Samsung Heavy Industries Co., Ltd., Daejeon, 34051, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, 41566, South Korea | 58074469700; 56504404800; 7501834063 | autowmacma@gmail.com; | 6th IEEE International Conference on Image Processing, Applications and Systems, IPAS 2025 - Proceedings | 0 | 2025-05-07 | 0 | Cavitation; Deep Learning; Detection; Propeller; Segmentation | Cavitation corrosion; Deep neural networks; Image segmentation; Propellers; Rotating machinery; Ship propulsion; Vibrations (mechanical); Anomaly detection; Cavitation detection; Deep learning; Detection; Detection networks; Engineering problems; Image-based; Propeller cavitation; Segmentation; Vapor filled cavity; Cavitation | English | Final | 2025 | 10.1109/ipas63548.2025.10924481 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | ○ | Proceedings Paper | Selective Noise-Aided Machine Unlearning with Deep Feature Visualization | In the rapidly evolving landscape of machine learning, the concept of machine unlearning has become crucial for enhancing data privacy and system security. Our research presents an innovative unlearning technique Selective Noise Unlearning (SNU), designed to reduce the model's dependency on specific data subsets, known as the forget-set. By employing a noise-induced training paradigm, we effectively disrupt the patterns associated with the forget-set, facilitating unlearning within pre-trained models. This approach enhances computational efficiency by eliminating the need for extensive data retention, thereby streamlining the unlearning process. We validate SNU on ResNet18 architecture using CIFAR-10 and MNIST. Through GradCAMs visualizations, we demonstrate the model's refocused attention following unlearning. Our method's ability to achieve quick unlearning with as few as one to two epochs of retraining makes it a practical solution for scenarios requiring rapid adaptation. This research enhances data privacy, improves unlearning efficiency, and supports the enforcement of the right to be forgotten, opening avenues for future innovations in machine learning privacy. | Shaheryar, Muhammad; Lee, Jong Taek; Jung, Soon Ki | Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea | Shaheryar, Muhammad/NBW-9729-2025; Jung, Soon Ki/P-7687-2018 | 56132068000; 24341317500; 57226791905 | shaheryar@knu.ac.kr; jongtaeklee@knu.ac.kr; skjung@knu.ac.kr; | ADVANCES IN VISUAL COMPUTING, ISVC 2024, PT II | 0302-9743 | 1611-3349 | 15047 | 0 | 2025-05-07 | 0 | 0 | Machine Unlearning; Forget Class; Class Activation Mapping | Class Activation Mapping; Forget Class; Machine Unlearning | Data privacy; Differential privacy; Activation mapping; Class activation mapping; Data subsets; Data-retention; Forget class; Machine unlearning; Machine-learning; Practical solutions; Rapid adaptation; System security; Adversarial machine learning | English | 2025 | 2025 | 10.1007/978-3-031-77389-1_8 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | Article | Sensitivity Enhancement of Benzene, Toluene, and Xylene Gas Sensors using Nanostructured TiO2: a Mini-Review | Benzene, toluene, and xylene (BTX) are hazardous volatile organic compounds commonly found in industrial and environmental settings, requiring the development of highly sensitive and selective gas sensors to ensure public safety. Nano-structured titanium dioxide (TiO2) has emerged as a promising BTX-sensing material due to its high chemical stability, advantageous catalytic properties, and tunable electronic structure. However, material modification is required because of the limited gas sensitivity of pristine TiO2. This review discusses key strategies for enhancing the BTX-sensing performance of TiO2-based gas sensors, including nanostructuring, metal doping, metal and metal oxide decoration, thermal treatment, and organic functionalization. These approaches improve gas adsorption, charge-carrier mobility, and reaction kinetics, thus enhancing the response and selectivity of the resulting sensor. The integration of TiO2 sensors with microheater platforms also enables low-power operation for practical deployment. This review highlights current challenges facing the development of TiO2-based gas sensors, including sensor stability, crosssensitivity, and real-time monitoring while proposing future directions for these devices. © The Korean Sensors Society. | Bae, Kyubin; Jo, Eunhwan; Kang, Yunsung | Department of Mechanical Engineering, University of Texas at Austin, Austin, 78712, TX, United States; Department of Mechanical Engineering, Kumoh National Institute of Technology, 61 Daehak-ro, Gyeongbuk, Gumi, 39177, South Korea; Department of Precision Mechanical Engineering, Kyungpook National University, 2559 Gyeongsang-daero, Gyeongbuk, Sangju, 37224, South Korea, Convergence Research Center of Mechanical and Chemical Engineering (CRCMCE), Kyungpook National University, 2559 Gyeongsangdaero, Gyeongbuk, Sangju, 37224, South Korea | 57216338035; 57193680294; 57193683552 | eunaj@kumoh.ac.kr; kangys@knu.ac.kr; | Journal of Sensor Science and Technology | 1225-5475 | 34 | 2 | 0 | 2025-05-07 | 1 | BTX gas sensing; Decoration; Functionalization; Nanostructured TiO<sub>2</sub>; Sensitivity enhancement | English | Final | 2025 | 10.46670/jsst.2025.34.2.89 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Proceedings Paper | Single board computer and adapted 3D-printed case-based low cost and compact optical coherence tomography | Optical coherence tomography (OCT) is a non-invasive, label-free imaging method based on high-resolution interferometric optics that allows real-time visualization of morphological structures and depth-resolved images. The high cost of most commercially available OCT systems limits their widespread use, especially in resource-poor settings. Miniaturization of OCT devices therefore reduces not only size but also cost and has the potential to open new markets for this technology. In this study, we developed a small, portable 3D printed OCT system (SBC-OCT) based on a single-board computer. To reduce the cost to configure the system, the whole case of SBC-OCT is made with 3D-printed architecture. Using an area camera to avoid thermally induced alignment distortions in the spectrometer during system operation, the spectrometer is temperature insensitive, requires no hardware changes or additional components, and requires minimal computational effort. An applied automatic signal correction method was developed. The smaller size, lighter weight, and lower cost of SBC-OCT highlight its significant relevance in medical, industrial, and security applications, showcasing its potential for broad adoption. | Seong, Daewoon; Han, Sangyeob; Kim, Yoonseok; Hong, Juyeon; Wijhesinghe, Ruchire Eranga; Jeon, Mansik; Kim, Jeehyun | Kyungpook Natl Univ, Sch Elect & Elect Engn, 80 Daehak Ro, Daegu 41566, South Korea; Kyungpook Natl Univ, ICT Convergence Res Ctr, 80 Daehak Ro, Daegu 41566, South Korea; Sri Lanka Inst Informat Technol, Dept Elect & Elect Engn, Fac Engn, Malabe 10115, Sri Lanka; Sri Lanka Inst Informat Technol, Ctr Excellence Intelligent Informat Elect & Trans, Malabe 10115, Sri Lanka | 59897708500; 57193695305; 57216828837; 58157239900; 59899112800; 24171094000; 7601373350 | OPTICS AND BIOPHOTONICS IN LOW-RESOURCE SETTINGS XI | 1605-7422 | 13307 | 0 | 2025-06-11 | 0 | 0 | Temperature-insensitive optical coherence tomography; Compact optical coherence tomography; Automatic peak detection; Latte Panda single-board computer | SWEPT SOURCE; OCT | Automatic peak detection; Compact optical coherence tomography; Latte Panda single-board computer; Temperature-insensitive optical coherence tomography | Image coding; Automatic peak detection; Coherence tomography; Compact optical coherence tomography; Latte panda single-board computer; Optical-; Single board computers; Single-board computers; Temperature-insensitive; Temperature-insensitive optical coherence tomography; Optical coherence tomography | English | 2025 | 2025 | 10.1117/12.3041806 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||
| ○ | Book chapter | Small Molecule Inhibitors: Precision Tools Targeting Oncogenic Pathways for Therapeutic Intervention in Cancer | Cancer treatment has evolved significantly, with the integration of various therapeutic strategies aimed at eradicating cancer cells, managing the disease, and improving patients’ quality of life. While traditional treatments such as surgery, chemotherapy, radiation, and immunotherapy remain vital, newer approaches like precision medicine have revolutionized cancer therapy by focusing on personalized care. Small molecules have emerged as key agents in this field, offering specific targeting capabilities with improved pharmacokinetics, flexibility, and the ability to penetrate cellular barriers. Their development, particularly in the form of orally active drugs, offers considerable benefits over macromolecular therapies. Since the approval of imatinib, small molecules have become essential tools in targeting various proteins and pathways involved in cancer progression, with nearly 89 FDA-approved small molecule drugs available for cancer treatment. This growing body of research underscores the critical role of small molecules in improving cancer therapy outcomes. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. | Chattopadhyay, Sayantani; Reyaz, Danyal; Pattabiram, Shriya; Babu, Janitri Venkatachala; Kasinathan, Kumaran; Gangadaran, Prakash; Ramalingam, Satish; Aruljothi, Kandasamy Nagarajan | Department of Genetic Engineering, School of Bioengineering, SRM Institute of Science and Technology, Tamil Nadu, Chennai, India; Department of Genetic Engineering, School of Bioengineering, SRM Institute of Science and Technology, Tamil Nadu, Chennai, India; Department of Genetic Engineering, School of Bioengineering, SRM Institute of Science and Technology, Tamil Nadu, Chennai, India; Department of Biomedical Engineering, Rochester Institute of Technology, Rochester, NY, United States; Department of Genetic Engineering, School of Bioengineering, SRM Institute of Science and Technology, Tamil Nadu, Chennai, India; Department of Nuclear Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Genetic Engineering, School of Bioengineering, SRM Institute of Science and Technology, Tamil Nadu, Chennai, India; Department of Genetic Engineering, School of Bioengineering, SRM Institute of Science and Technology, Tamil Nadu, Chennai, India | 59699971800; 59527540100; 59743129500; 59742457400; 58639709900; 54393130400; 23987942300; 56705564100 | aruljotn@srmist.edu.in; | Small Molecules for Cancer Treatment | 0 | 2025-05-07 | 0 | FDA-approved, drugs; Pharmacokinetics; Precision medicine; Small molecules; Targeted cancer therapy | English | Final | 2025 | 10.1007/978-981-96-0301-5_12 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | Review | Specimen preparation for X-ray micro-computed tomography of forest pests | X-ray micro-computed tomography (XCT) is an X-ray-based three-dimensional (3D) imaging technique that enables non-destructive imaging of both external and internal structures. It is widely used for studying biological specimens such as animals and plants. In this review, we discuss various specimen preparation methods for the technique, particularly focusing on forest pests, with six representative cases. Specimen preparation methods for forest pests can be broadly categorized into three groups based on mounting types: (i) simple mounting, (ii) liquid-cell mounting, and (iii) dry-cell mounting. The simple mounting method is particularly suitable for adult beetles due to their exoskeleton. The dehydration process minimizes specimen movement during scanning, ensuring better imaging quality. In the case of liquid-cell mounting, the specimen is immersed in a liquid medium for scanning, which effectively preserves the soft tissues of larvae and pupae. The dry-cell mounting does not involve fixation or dehydration and is particularly useful for analyzing immobilized specimens. To enhance the quality of 3D images, selecting an appropriate preparation method is essential. Since forest pests display varying sizes and types, the choice of preparation method should be based on the specific characteristics of the specimens of interest and research objectives. This review provides valuable insights for researchers and practitioners seeking to identify the most suitable and effective mounting method for XCT scanning of forest pests. © The Author(s) 2025. | Ahn, Eun Jung; Kim, Ki Woo | Department of Ecology and Environmental System, Kyungpook National University, Sangju, 37224, South Korea, Animal & Plant Research Division, Nakdonggang National Institute of Biological Resources, Sangju, 37242, South Korea; Department of Ecology and Environmental System, Kyungpook National University, Sangju, 37224, South Korea, Tree Diagnostic Center, Kyungpook National University, Sangju, 37224, South Korea | 59717192200; 57201369889 | kiwoo@knu.ac.kr; | Applied Microscopy | 2287-5123 | 55 | 1 | 0 | 2025-05-07 | 0 | 3D imaging; Forest pest; Insect; Specimen preparation | Cell immobilization; Computerized tomography; Exoskeleton (Robotics); Mountings; X ray microscopes; X ray spectrometers; Dry cells; Forest pest; Insect; Liquid cells; Non-destructive imaging; Preparation method; Simple++; Specimen preparation method; Three dimensional imaging; X ray micro-computed tomography; Invertebrates | English | Final | 2025 | 10.1186/s42649-025-00108-4 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Conference paper | Spectral shape study of210Bi forbidden beta decay using PbMoO4 cryogenic detectors | The spectrum-shape method has been proposed to determine the effective value of the axial-vector coupling constant, gA in forbidden non-unique β decays.210Bi is an isotope of first-forbidden non-unique beta decay, the shape function of which strongly depends on the gA value. Due to the short half-life of the210Bi, the210Pb (β, 22.3 y) →210Bi (β, 5.0 d) →210Po (α, 138 d) decay chain has been adopted by using PbMoO4 crystals. We prepared a detection system with two PbMoO4 crystals in the same crystal dimensions. One PbMoO4 contains a modern lead and the210Pb radioactivity was measured about 30 Bq/kg. The other PbMoO4 crystal consist of an archeological lead with low210Pb radioactivity of about 0.2 Bq/kg, which has been used to subtract the external backgrounds. This detection method with the two crystals has shown a good agreement with a previous beta spectrum study of210Bi. © 2025 American Institute of Physics Inc.. All rights reserved. | Kim, H.L.; Kim, H.J.; So, J.H.; Kim, Y.H.; Kim, Y.D.; Nagorny, S.S.; Shlegel, V.N. | Center for Underground Physics, Institute for Basic Science (IBS), Daejeon, 34126, South Korea; Department of Physics, Kyungpook National University, Daegu, 41566, South Korea; Center for Underground Physics, Institute for Basic Science (IBS), Daejeon, 34126, South Korea; Center for Underground Physics, Institute for Basic Science (IBS), Daejeon, 34126, South Korea; Center for Underground Physics, Institute for Basic Science (IBS), Daejeon, 34126, South Korea; Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, K7L 3N6, ON, Canada, McDonald Canadian Astroparticle Physics Research Institute, Kingston, K7L 3N6, ON, Canada; Nikolaev Institute of Inorganic Chemistry SB RAS, Novosibirsk, 630090, Russian Federation | 57218825747; 58483690400; 35277558300; 57196171764; 7410207253; 57217764873; 6602324736 | khl7984@gmail.com; | AIP Conference Proceedings | 0094-243X | 3143 | 1 | 0 | 2025-05-07 | 0 | English | Final | 2025 | 10.1063/5.0234751 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | Conference paper | Spectroscopic study of Kaonic nuclei using inclusive and exclusive 12C(K-, p) reaction at J-PARC | The J-PARC E05 experiment investigated the interaction between K and the residual nucleus via an inclusive 12C(K-, p) spectrum, revealing real and imaginary K-nucleus optical potential depths of (-80, -40) MeV. Moreover, an event excess near 100 MeV in the K binding energy suggests a bound state involving an excited hyperon (Y∗). A subsequent experiment, J-PARC E42, utilized the same reaction with a GEM-based HypTPC around the target. The exclusive measurement with HypTPC enhances the signal-to-noise ratio and enables the detection of the Y∗ nuclear state. The inclusive spectrum obtained in the E05 was reproduced also through the E42 analysis, and the analysis of particle identification and momentum measurement with HypTPC is in progress for the coming exclusive analysis. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). | Oura, Fumiya; Ahn, J.K.; Choi, S.W.; Fujita, M.; Harada, T.K.; Hasegawa, S.; Hayakawa, S.H.; Hicks, K.; Hwang, S.H.; Ichikawa, Y.; Ishikawa, Y.; Imai, K.; Jung, W.S.; Kajikawa, S.; Kamada, K.; Kang, B.M.; Kim, S.H.; Kitaoka, T.; Lee, J.W.; Morino, T.; Saito, M.; Sako, H.; Sakao, T.; Sato, S.; Tamura, H.; Tanida, K.; Takahashi, T.; Ukai, M.; Wada, S.; Yamamoto, T.O.; Yang, S.B. | Department of Physics, Tohoku University, Sendai, 980-8578, Japan; Department of Physics, Korea University, Seoul, 02841, South Korea; Department of Physics, Korea University, Seoul, 02841, South Korea; Advanced Science Research Center, Japan Atomic Energy Agency, Tokai, 319-1195, Japan; Advanced Science Research Center, Japan Atomic Energy Agency, Tokai, 319-1195, Japan, Department of Physics, Kyoto University, Kyoto, 606-8502, Japan; Advanced Science Research Center, Japan Atomic Energy Agency, Tokai, 319-1195, Japan; Department of Physics, Tohoku University, Sendai, 980-8578, Japan; Department of Physics Astronomy, Ohio University, Athens, 45701, OH, United States; Korea Research Institute of Standards and Science, Daejeon, 34113, South Korea; Department of Physics, Tohoku University, Sendai, 980-8578, Japan; Department of Physics, Tohoku University, Sendai, 980-8578, Japan; Advanced Science Research Center, Japan Atomic Energy Agency, Tokai, 319-1195, Japan; Department of Physics, Korea University, Seoul, 02841, South Korea; Department of Physics, Tohoku University, Sendai, 980-8578, Japan; Department of Physics, Tohoku University, Sendai, 980-8578, Japan; Department of Physics, Korea University, Seoul, 02841, South Korea; Department of Physics, Kyungpook National University, Daegu, 41566, South Korea; Department of Physics, Tohoku University, Sendai, 980-8578, Japan; Department of Physics and Astronomy, Seoul National University, Seoul, 08826, South Korea; Department of Physics, Tohoku University, Sendai, 980-8578, Japan; Department of Physics, Tohoku University, Sendai, 980-8578, Japan; Advanced Science Research Center, Japan Atomic Energy Agency, Tokai, 319-1195, Japan; Department of Physics, Tohoku University, Sendai, 980-8578, Japan; Advanced Science Research Center, Japan Atomic Energy Agency, Tokai, 319-1195, Japan; Department of Physics, Tohoku University, Sendai, 980-8578, Japan, Advanced Science Research Center, Japan Atomic Energy Agency, Tokai, 319-1195, Japan; Advanced Science Research Center, Japan Atomic Energy Agency, Tokai, 319-1195, Japan; Institute of Particle Nuclear Study, High Energy Accelerator Research Organization (KEK), Tsukuba, 305-0801, Japan; Institute of Particle Nuclear Study, High Energy Accelerator Research Organization (KEK), Tsukuba, 305-0801, Japan; Department of Physics, Tohoku University, Sendai, 980-8578, Japan; Advanced Science Research Center, Japan Atomic Energy Agency, Tokai, 319-1195, Japan; Department of Physics, Korea University, Seoul, 02841, South Korea | 59181518300; 59883719200; 59441735700; 57216606110; 59633634600; 57225693783; 55432105200; 22966851900; 55183771300; 57222569778; 57210319434; 21334634000; 57207096142; 57221197711; 59749949800; 57209468020; 59102647100; 57223682328; 55330133400; 59718276900; 59718834900; 7005282972; 57221200442; 59718419100; 16228885600; 8388152800; 56374528500; 8254336000; 57223706123; 55581725800; 57204951807 | Proceedings of Science | 1824-8039 | 465 | 0 | 2025-05-07 | 0 | Bound-states; Energy; Exclusive measurements; Noise ratio; Nuclear state; Nucleus Optical potential; Real and imaginary; Signal to noise; Spectra's; Spectroscopic studies; Binding energy | English | Final | 2025 | 바로가기 | ||||||||||||||||||||
| ○ | Conference paper | Speech Emotion Recognition Using Weighted Score Fusion for Low Resource Consumer Devices | Deep learning techniques have significantly advanced machine performance in tasks traditionally dominated by human expertise. One such task is speech emotion recognition (SER), a crucial component of affective computing. Given the inherent complexity of recognizing emotions, even for humans, there is a persistent demand for models that are both robust and accurate, yet less complex for deployment on low-resource devices. Despite notable progress in SER systems, achieving high performance with low-parameter models remains a challenge. In this paper, we introduce a transformer-based multi-layer SER model (TBWSC model) that employs a weight score configuration (WSC) across shallow, intermediate, and high-level learned features. This approach enhances SER performance by utilizing a transformer encoder to capture detailed acoustic feature representations, reducing the need for a deep network. Our model achieves significant improvements with just three layers, compared to traditional deep architectures. Additionally, we performed a comprehensive evaluation of our proposed TBWSC SER model to highlight the benefits of weighted fusion and complexity reduction. The model was tested on multiple datasets, including the emotional German speech dataset (EMODB), the Surrey audio-visual expressed emotion (SAVEE) database, and the Toronto emotional speech set (TESS). These datasets encompass emotional states such as happiness, sadness, neutrality, and anger. Our TBWSC model demonstrated superior performance, achieving an average accuracy of 81.82% on EMODB, 82.22% on SAVEE, and 99.65% on TESS. These results underscore the effectiveness of our weighted feature fusion approach and the potential for deploying efficient SER systems in low resource consumer devices. © 2025 IEEE. | Kakuba, Samuel; Han, Dong Seog | Graduate School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea | 57988218000; 59307662300 | Digest of Technical Papers - IEEE International Conference on Consumer Electronics | 0747-668X | 0 | 2025-06-11 | 0 | emotion recognition; fusion; low resource devices | Fusion reactions; Speech enhancement; Speech recognition; Audio-visual; Consumer devices; Emotion recognition; Emotional speech; Low resource devices; Performance; Recognition models; Speech emotion recognition; Speech emotion recognition systems; Toronto; Deep learning | English | Final | 2025 | 10.1109/icce63647.2025.10930139 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Article | Spontaneous repositioning of a dislocated autologous scleral plug after vitrectomy with autologous scleral plug for optic disc pit maculopathy: A case report | Purpose: Presented herein is a case of optic disc pit maculopathy (ODP-M) treated with vitrectomy and autologous scleral plug implantation, complicated by scleral plug dislocation. The dislocation was subsequently corrected by spontaneous repositioning without surgical intervention. Observations: A 58-year-old female was diagnosed with ODP-M and underwent vitrectomy with internal limiting membrane peeling and autologous scleral plug implantation. Postoperatively, the scleral plug successfully sealed the ODP. There was an improvement in visual acuity and a decrease in subretinal fluid (SRF) and cystoid macular edema (CME). Seven weeks after surgery, dislocation of the scleral plug was observed, which was associated with frequent upside-down positioning using an inverting table. The patient was instructed to maintain a supine position, which resulted in spontaneous repositioning of the scleral plug. The scleral plug remained stable over 10 months postoperatively, with continued resolution of CME and SRF. Visual acuity improved to 20/25. Conclusions and importance: Upside-down positioning may lead to scleral plug dislocation following autologous scleral plug implantation for ODP-M and should be avoided. However, in cases of dislocation, maintaining a supine position may facilitate spontaneous repositioning, potentially eliminating the need for additional surgery. This case underscores the importance of patient education regarding postoperative positioning and demonstrates the potential effectiveness of positional management for scleral plug dislocation. © 2025 | Kang, Yong Koo; Jeong, Seonyong; Park, Dong Ho; Do, Jae Rock | Department of Ophthalmology, School of Medicine, Kyungpook National University, Daegu, South Korea, Department of Ophthalmology, Kyungpook National University Hospital, Daegu, South Korea; Department of Ophthalmology, Yeungnam University College of Medicine, South Korea; Department of Ophthalmology, School of Medicine, Kyungpook National University, Daegu, South Korea, Department of Ophthalmology, Kyungpook National University Hospital, Daegu, South Korea, Kyungpook National University Cell & Matrix Research Institute, Daegu, South Korea, BK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future Talents, Daegu, South Korea; Department of Ophthalmology, School of Medicine, Kyungpook National University, Daegu, South Korea, Department of Ophthalmology, Kyungpook National University Hospital, Daegu, South Korea | 57204703736; 59740502500; 36676632900; 58600232100 | doojr7@gmail.com; | American Journal of Ophthalmology Case Reports | 2451-9936 | 38 | 0 | 2025-05-07 | 0 | Autologous scleral plug implantation; Macular edema; Optic disc pit; Optic disc pit maculopathy; Vitrectomy | triamcinolone acetate; adult; Article; best corrected visual acuity; case report; clinical article; device migration; female; human; internal limiting membrane; laser coagulation; middle aged; optic disc pit maculopathy; optical coherence tomography; pars plana vitrectomy; retina macula cystoid edema; retina maculopathy; scleral plug dislocation; subretinal fluid; vitrectomy; vitreous body detachment | English | Final | 2025 | 10.1016/j.ajoc.2025.102339 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Conference paper | Stacked Mulberry Paper Coated with MXene for Highly Sensitive Pressure Detection with Wide Sensing Range | We demonstrate a tactile sensor using MXene-coated mulberry paper with high sensitivity over 20 kPa-1 and wide sensing range up to 1000 kPa. The pressure-sensing element is comprised of the stacked structure of mulberry paper which is prepared with dip-coating highly electrically conductive Ti3C2Tx. Mulberry paper has a rough surface and a highly porous structure when comparing those of other paper. This induces the significant change in contact area between mulberry paper when the pressure is applied. In addition, the stacked structure of mulberry paper allows an increase in contact area and efficient stress distribution between layers, resulting in high sensitivity over a wide pressure range. The sensor performance in terms of sensitivity and detection range is compared with those of recently reported MXene-based tactile sensors. This reveals that our approach is effective for achieving high-performance tactile sensor. © 2025 IEEE. | Lee, Sangrim; Won, Chaemin; Ahn, Jaebeen; Heo, Bowoong; Bae, Kyubin; Kim, Jongbaeg; Kim, Taewook; Yim, Changyong; Kang, Yunsung | Kyungpook National University, Department of Precision Mechanical Engineering, Sangju, South Korea; Kyungpook National University, Department of Precision Mechanical Engineering, Sangju, South Korea; Kyungpook National University, Department of Energy Chemical Engineering, Sangju, South Korea; Yonsei University, School of Mechanical Engineering, Seoul, South Korea; Yonsei University, School of Mechanical Engineering, Seoul, South Korea; Yonsei University, School of Mechanical Engineering, Seoul, South Korea; Kyungpook National University, Department of Energy Chemical Engineering, Sangju, South Korea; Kyungpook National University, Department of Energy Chemical Engineering, Sangju, South Korea; Kyungpook National University, Department of Precision Mechanical Engineering, Sangju, South Korea | 59720407800; 59720407900; 59720438100; 59720373800; 57216338035; 55881484100; 57030752600; 36877182000; 57193683552 | kangys@knu.ac.kr; taewook@knu.ac.kr; cy.yim@knu.ac.kr; | Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS) | 1084-6999 | 0 | 2025-05-07 | 0 | Mulberry paper; MXene; Pressure sensor; Tactile sensor | Partial pressure sensors; Pressure sensors; Contact areas; High sensitivity; Mulberry paper; Mxene; Pressure detections; Pressure sensing; Sensing elements; Sensing ranges; Stacked structure; Tactile sensors; Paper coating | English | Final | 2025 | 10.1109/mems61431.2025.10917445 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | Conference paper | Strain-Insensitive, Stretchable Thermoacoustic Loudspeaker with Entangled Carbon Nanotubes | This paper reports on a strain-insensitive, stretchable loudspeaker composed of a carbon nanotube (CNT) array partially embedded in a stretchable elastomer substrate. This loudspeaker operates by thermoacoustic transduction, where air vibrations are generated through heat transfer, thereby inducing a sound wave. CNT array has a low heat capacity per unit area, and the high aspect ratio of the CNT structure provides a large effective surface area, enabling efficient heat transfer to the surrounding air. This feature does not necessitate the usage of an extremely thin substrate, as required by other thermoacoustic loudspeakers to minimize heat capacity, thereby enhancing the mechanical stability of the loudspeaker. Furthermore, the entangled CNT strands maintain a stable electrical connection even when stretched. Given these excellent characteristics, the loudspeaker achieves a high sound pressure level (SPL) exceeding 60 dB with only a 4.37 dB variation even over 150% strain. © 2025 IEEE. | Sim, Sangjun; Jo, Eunhwan; Im, Hyungyu; Bae, Kyubin; Kang, Yunsung; Kim, Jongbaeg | Yonsei University, School of Mechanical Engineering, Seoul, South Korea; Kumoh National Institute of Technology, Department of Mechanical Engineering, Gumi, South Korea; Yonsei University, School of Mechanical Engineering, Seoul, South Korea; Yonsei University, School of Mechanical Engineering, Seoul, South Korea; Kyungpook National University, Department of Precision Mechanical Engineering, Sangju, South Korea; Yonsei University, School of Mechanical Engineering, Seoul, South Korea | 57216353900; 57193680294; 58918906100; 57216338035; 57193683552; 55881484100 | kimjb@yonsei.ac.kr; | Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS) | 1084-6999 | 0 | 2025-05-07 | 0 | carbon nanotubes; flexibility; loudspeaker; stretchability; Thermoacoustic | Acoustic arrays; Hydroelasticity; Loudspeakers; Vibrations (mechanical); A-carbon; Carbon nano-tube structures; Carbon nanotube array; Effective surface area; Flexibility; High aspect ratio; Large effective; Per unit; Stretchability; Thermoacoustic; Aspect ratio | English | Final | 2025 | 10.1109/mems61431.2025.10917440 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | Book chapter | Strategic convergence of advanced technologies in modern warfare | This chapter delves into the deep and profound impact of various disruptive technologies within the framework of Disruptive Cyber-Physical Systems (DCPS). The integration of artificial intelligence, autonomous systems, quantum computing, and upcoming blockchain technology into various military applications has totally transformed the nature of conflict. The chapter then also explores the real definition and characteristics of CPS in warfare, with the examination of the role of AI in decision-making. Besides, autonomous systems and the implications of the usage of quantum computing on cybersecurity are also considered. Additionally, it also explores the integration of blockchain for secure communication and various transparent transactions in military operations. Various case studies provide real-world insights, highlighting its successful applications and lessons learned from the consequences. The chapter also addresses ethical dilemmas, various vulnerabilities, and the importance of international cooperation and code of conduct between the countries. Lastly, it emphasizes responsible innovation and collaborative efforts for future development and its real-time deployment of the various technologies in DCPS warfare. © 2025 Scrivener Publishing LLC. All rights reserved. | Sar, Ayan; Choudhury, Tanupriya; Um, Jung-Sup; Singh, Rahul Kumar; Kotecha, Ketan | School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India; School of Computer Sciences (SoCS), University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India; Department of Geography, College of Social Sciences, Kyungpook National University, Buk-gu, Daegu, South Korea; School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India; Symbiosis Center for Applied Artificial Intelligence, Symbiosis Institute of Technology, Symbiosis International University, Pune, India | 58881830900; 57193140084; 35173565000; 56808443300; 6506676097 | tanupriya@ddn.upes.ac.in; | Distributed Time-Sensitive Systems | 0 | 2025-06-11 | 0 | Intelligent systems; Military applications; Modern warfare; Responsible innovation; Transparent transactions | Artificial life; Intelligent computing; Jamming; Military data processing; Military electronic countermeasures; Quantum cryptography; Robotics; Advanced technology; Block-chain; Cybe-physical systems; Cyber-physical systems; Decisions makings; Disruptive technology; Modern warfare; Quantum Computing; Responsible innovation; Transparent transaction; Intelligent systems | English | Final | 2025 | 10.1002/9781394197798.ch13 | 바로가기 | 바로가기 |
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