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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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| ○ | Conference paper | Real-Time Prediction of Residents' ADL using Asynchronous Multivariables Time-series Signals | Technology that can predict and analyze the activity of daily living(ADL) of elderly or sick residents in real time in their living environments is an important technological challenge in the healthcare industry. For this purpose, existing methods use remote monitoring by installing many IoT devices in the living environment, but this method is inconvenient for residents, high costs, and the results are also difficult to trust. To solve these problems, we have tried to develop an edge computing-type ADL detector that uses a smart edge IoT device installed in a unit space, and has an environmental sensor that can obtain signals about temperature and humidity, air quality, etc., and a microphone that can obtain signals about noisy sound in the living environment. This paper describes a software architecture that can effectively analyze a big data of asynchronous time-series sensor signal on edge devices with very low computational power to predict residents' ADL in real time. © 2024 IEEE. | Kang, Homin; Lee, Cheolhwan; Kang, Soon Ju | Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea | 57952244800; 57216824872; 55666313900 | sjkang@knu.ac.kr; | Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024 | 0 | 2025-05-07 | 0 | Activities of Daily Living; Asynchronous Signal; Internet of Things; Real Time; Signal Processing | Assisted living; Activities of Daily Living; Asynchronous signals; Healthcare industry; Living environment; Multi variables; Real- time; Real-time prediction; Signal-processing; Technological challenges; Time series signals; Image coding | English | Final | 2024 | 10.1109/bigdata62323.2024.10825093 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Conference paper | Recent Searches for Supersymmetry in CMS | This report summarizes four of the recently published supersymmetry (SUSY) searches performed on 139 fb-1 of 13 TeV pp collision data collected by the CMS experiment between years 2016-2018. These are the combined search for electroweak production of winos, binos, higgsinos, and sleptons; search for stealth SUSY in final states with two photons, jets, and low missing transverse momentum; search for new physics in multijet events with at least one photon and large missing transverse momentum; and search for SUSY in final states with disappearing tracks. The latter is presented first time at the LHCP2023 conference. These searches, all targeting challenging signatures, feature innovative analysis methodologies and have resulted in enhanced sensitivity in various regions of the SUSY parameter space. © Copyright owned by the author(s). | Sekmen, Sezen | Kyungpook National University, Department of Physics, Daegu, South Korea | 24172042700 | ssekmen@cern.ch; | Proceedings of Science | 1824-8039 | 450 | 0 | 2025-05-07 | 0 | Photons; Tellurium compounds; Enhanced sensitivity; Final state; Multi-jets; New physics; Parameter spaces; Supersymmetries; Transverse momenta; Two photon; Supersymmetry | English | Final | 2024 | 10.22323/1.450.0159 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | Article | Recovery experience of older adults with COVID-19: A grounded-theory study | Purpose: This study aimed to understand the lives of recovered COVID-19 patients from the view-points of people over the age of 60. Methods: The participants were 15 recovered patients aged over 60 who had been infected with COVID-19. Data were collected individually through in-depth interviews from September 12, 2022 to February 27, 2023. Contents of the transcribed interviews were analyzed using Corbin and Strauss’s grounded theory approach. Results: Analysis of the psychological recovery experience for older adults with COVID-19-resulted in six themes, 14 sub-themes, and 41 codes. The core category revealed was turning crisis into opportunities throughout making meaning of living in the time of COVID-19. The causal conditions included feeling disrupted due to unknowns during a crisis. The contextual conditions were a lack of support system for COVID-19 groups. The central phenomenon was a life shattered amidst COVID-19-related helplessness. The intervening conditions were rebound for changes for transformation. As a result, the action/interactional strategies were employed to find a breakthrough. In consequence, enhancement of resilience was achieved after overcoming obstacles. Conclusion: The findings provide important recommendations for healthcare professionals regarding older patients who have had COVID-19. We encourage healthcare providers to improve patient care by gaining a deeper understanding of their recovery experiences. © 2024 Korean Gerontological Nursing Society. | Kim, Hee-Sook; Park, Jae Wan | College of Nursing, Kyungpook National University, Research Institute of Nursing Innovation, Kyungpook National University, Daegu, South Korea; College of Nursing, Kyungpook National University, Research Institute of Nursing Innovation, Kyungpook National University, Daegu, South Korea | 58668801200; 57322140800 | morrall@naver.com; | Journal of Korean Gerontological Nursing | 2384-1877 | 26 | 1 | 0 | 2025-05-07 | 0 | Aged; COVID-19; Grounded theory; Psychology; Qualitative research | English | Final | 2024 | 10.17079/jkgn.2023.00192 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Proceedings Paper | Reinforcement Learning-Based Optimization of Back-side Power Delivery Networks in VLSI Design for IR-drop Reduction | On-chip power planning is a crucial step in chip design. As process nodes advance and the need to supply lower operating voltages without loss becomes vital, the optimal design of the Power Delivery Network (PDN) has become pivotal in VLSI to mitigate IR-drop effectively. To address IR-drop issues in the latest nodes, a back-side power delivery network (BSPDN) has been proposed as an alternative to the conventional frontside PDN. However, BSPDN encounters design issues related to the pitch and resistance of through-silicon vias (TSVs). In addition, BSPDN faces optimization challenges due to the trade-off between rail and grid IR-drop, particularly in the effectiveness of uniform grid design patterns. In this study, we introduce a design framework that utilizes reinforcement learning to identify optimized grid width patterns for individual VLSI designs on the silicon back-side, aiming to reduce IR-drop. We have applied our design approach to various benchmarks and validated its improvement. Our results demonstrate a significant improvement in total IR-drop, with a maximum improvement of up to -19.0% in static analysis and up to -18.8% in dynamic analysis, compared to the conventional uniform BSPDN. | Woo, Seungmin; Lee, Hyunsoo; Shin, Yunjeong; Han, MinSeok; Go, Yunjeong; Kim, Jongbeom; Lee, Hyundong; Kim, Hyunwoo; Song, Taigon | Kyungpook Natl Univ, Daegu 41566, South Korea | 58064515100; 58882643100; 58882495300; 58310161300; 58309775700; 57782068500; 57226892881; 59862730600; 36005021000 | 2024 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION, DATE | 1530-1591 | 3.47 | 2025-04-16 | 1 | 1 | IR drop; Reinforcement Learning(RL); Backside Power Delivery Network(BSPDN); VLSI | Back-side Power Delivery Network(BSPDN); IR drop; Reinforcement Learning(RL); VLSI | Drops; Economic and social effects; Electronics packaging; Integrated circuit design; Three dimensional integrated circuits; VLSI circuits; % reductions; Back-side power delivery network; Chip power; IR drop; On chips; Optimisations; Power delivery network; Reinforcement learnings; VLSI; VLSI design; Reinforcement learning | English | 2024 | 2024 | 10.23919/date58400.2024.10546599 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||||
| ○ | Article | Relationship of sodium index with the obesity indicators of university students in Daegu, South Korea: a cross-sectional study | Objectives: The sodium index is an index that converts the estimated sodium intake calculated using a verified and reliable sodium estimation formula. This study aimed to determine the relationship between the sodium index and obesity indicators and the potential impact of excessive sodium consumption on obesity. Methods: Obesity indicators, such as body mass index (BMI), body fat percentage, waist-tohip ratio (WHR), and visceral fat levels, were analyzed in 120 university students (60 men and 60 women). The sodium index was calculated by indexing the estimated sodium intake according to age, sex, BMI, salt-eating habits, and salt-eating behaviors. The relationship between sodium index and obesity indicators was analyzed using multiple logistic regression. Results: The estimated sodium intake was 3,907.1 mg, with 76.7% of the participants categorized under the “careful” level of sodium index and 10.8% under the “moderate” level. As the sodium index increased, the BMI, body fat percentage, WHR, and visceral fat levels significantly increased. All obesity indicators significantly increased in patients with a “severe” sodium index than in those with a “moderate” sodium index. In addition, a strong positive correlation was identified between obesity indicators and sodium index. When the “severe” sodium index was compared with the “moderate” sodium index, the risk of obesity based on body fat percentage increased by 2.181 times (95% confidence interval [CI], 1.526–3.118), while the risk of obesity based on visceral fat level increased by 4.073 times (95% CI, 2.097–7.911). Conclusions: Our findings suggest a correlation between excessive sodium intake and obesity. Moreover, the sodium index can be used to determine sodium intake. © 2024 The Korean Society of Community Nutrition. | Jang, Young-Won; Ma, Jian; Lee, Yeon-Kyung | Department of Food Science and Nutrition, Kyungpook National University, Daegu, South Korea; Department of Food Science and Nutrition, Kyungpook National University, Daegu, South Korea; Department of Food Science and Nutrition, Kyungpook National University, Daegu, South Korea | 59220501900; 57218175449; 16301462200 | yklee@knu.ac.kr; | Korean Journal of Community Nutrition | 2951-3146 | 29 | 3 | 0 | 2025-05-07 | 0 | body fat; body mass index; obesity; sodium index; visceral fat; waist-hip ratio | English | Final | 2024 | 10.5720/kjcn.2024.29.3.189 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Article | Relevance between Tenderness and Intra-Tumoral Platelet Aggregation in Angiolipoma and Lipoma Using CD61 Immunohistochemistry; [CD61 면역화학염색을 통한 혈관지방종과 지방종 환자의 압통과 혈소판 응집 간 상관성에 관한 연구] | Background: Angiolipoma is a disorder characterized by the development of distinct, encapsulated subcutaneous tumors. Unlike lipoma, angiolipoma is distinctively accompanied by tenderness, which does not respond to general painkillers. Additionally, the reason for the pain has not been elucidated yet. Objective: This study aims to investigate platelet aggregation as the potential cause of tenderness in angiolipoma. Methods: Twenty-three patients diagnosed with angiolipoma and lipoma were enrolled. Platelet aggregation was visualized by CD61 immunohistochemical staining. The area of platelet aggregation and vessel lumen in a high power field were measured with the QuPath software. The ratio between the area of platelet aggregation and vessel lumen (p/v ratio) was calculated from the captured images. Results: Eleven of 46 patients complained of tenderness (9/23 angiolipoma [39.1%], 2/23 lipoma [8.7%]). Angiolipoma demonstrated a higher p/v ratio than that observed in lipoma (0.27 vs. 0.09, p< 0.001). Furthermore, the mean p/v ratio was high in patients with tenderness (0.44 vs. 0.09, <0.01). Patients were divided into three groups according to the aggregation pattern, highly clustered, mixed, and particulated. Nine patients with angiolipoma presented a highly clustered pattern, meanwhile, only three patients with lipoma exhibited a highly clustered pattern. Moreover, the number of patients with tenderness was significant in the highly clustered group (63.6%). Additionally, among the highly clustered group, the mean p/v ratio was higher in patients with tenderness (0.52 vs. 0.24, <0.01). Conclusion: As clustered platelet aggregation with a high p/v ratio demonstrated relevance to tenderness, medications inhibiting platelet aggregation could mitigate tenderness in patients with angiolipoma. © 2024 Korean Dermatological Association. All rights reserved. | Kim, Jin Ho; Yoon, Hyojin; Lee, Seok-Jong; Kim, Mee-Seon | Department of Dermatology, Kyungpook National University School of Medicine, Daegu, South Korea; Department of Dermatology, Kyungpook National University School of Medicine, Daegu, South Korea; Department of Dermatology, Kyungpook National University School of Medicine, Daegu, South Korea; Department of Pathology, School of Dentistry, Kyungpook National University, Daegu, South Korea | 58508499500; 58896787300; 56013454400; 56123006700 | kimm2342@gmail.com; | Korean Journal of Dermatology | 0494-4739 | 62 | 7 | 0 | 2025-05-07 | 0 | Adiposis dolorosa; Angiolipoma; Platelet aggregation | Korean | Final | 2024 | 바로가기 | ||||||||||||||||||
| ○ | Conference paper | RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification | Recent advancements in AI have democratized its deployment as a healthcare assistant. While pretrained models from large-scale visual and audio datasets have demonstrably generalized to this task, surprisingly, no studies have explored pretrained speech models, which, as human-originated sounds, intuitively would share closer resemblance to lung sounds. This paper explores the efficacy of pretrained speech models for respiratory sound classification. We find that there is a characterization gap between speech and lung sound samples, and to bridge this gap, data augmentation is essential. However, the most widely used augmentation technique for audio and speech, SpecAugment, requires 2-dimensional spectrogram format and cannot be applied to models pretrained on speech waveforms. To address this, we propose RepAugment, an input-agnostic representation-level augmentation technique that outperforms SpecAugment, but is also suitable for respiratory sound classification with waveform pretrained models. Experimental results show that our approach outperforms the SpecAugment, demonstrating a substantial improvement in the accuracy of minority disease classes, reaching up to 7.14%. © 2024 IEEE. | Kim, June-Woo; Toikkanen, Miika; Bae, Sangmin; Kim, Minseok; Jung, Ho-Young | Kyungpook National University, Department of Artificial Intelligence, South Korea, Rsc Lab, Modulabs, South Korea; Rsc Lab, Modulabs, South Korea; Rsc Lab, Modulabs, South Korea, Kaist Ai, South Korea; Amazon, United States; Kyungpook National University, Department of Artificial Intelligence, South Korea | 57219550643; 57286454000; 57219736881; 57212490435; 57198760619 | hoyjung@knu.ac.kr;kaen2891@knu.ac.kr; | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS | 1557-170X | 5.86 | 2025-05-07 | 2 | Algorithms; Humans; Respiratory Sounds; Signal Processing, Computer-Assisted; 2 - Dimensional; Augmentation techniques; Data augmentation; Large-scales; Lung sound samples; Lung sounds; Respiratory sounds; Sound classification; Speech models; Speech sounds; abnormal respiratory sound; algorithm; classification; human; pathophysiology; signal processing; Lung cancer | English | Final | 2024 | 10.1109/embc53108.2024.10782363 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | ○ | Proceedings Paper | Research on Museum App Service Design from the Perspective of User Experience | With the arrival of the era of digital intelligence, the way information is disseminated has changed, and the form in which users receive information has also undergone significant changes. As a public welfare institution focused on cultural education and dissemination, museums not only collect, store, and research natural and human cultural things, but also provide services such as knowledge popularization and education for the public. The main function has shifted from displaying "objects" as the main focus to serving "people" as the center, providing various experiences for education, appreciation, contemplation, and knowledge sharing. People's visits to museums have entered a stage of cultural enjoyment that focuses on experience, from shallow cultural relics viewing. This has put forward higher requirements for the level of experiential service in museums. On the one hand, expanding people's participation and achieving the popularization of cultural relics education; on the other hand, the surge in the number of visitors has put enormous pressure on museum operations and service facility configuration. In this context, how museums optimize their service system is a topic worthy of social attention and research to solve. This paper takes museums as the research object, based on service design theory, analyzes the internal connection and value between stakeholders, user profiles, user experience maps, touchpoints, and other aspects of the museum system, explores the service design methods and strategies of the museum app, and achieves the goal of improving the quality of museum services and optimizing user emotional experiences. | Guo, Qihan; Fang, Xing; Shi, Mingxi | Wuhan Univ Technol, Wuhan 430070, Hubei, Peoples R China; Kyungpook Natl Univ, Daegu 41566, South Korea | 59170865600; 57198847525; 59170301700 | 1156165712@qq.com; | CULTURE AND COMPUTING, C&C 2024 | 0302-9743 | 1611-3349 | 14717 | 0 | 2025-04-16 | 0 | 0 | User Experience; Service Design; Museum App | Museum App; Service Design; User Experience | Design; User experience; User profile; Cultural education; Cultural relics; Knowledge-sharing; Museum app; Public welfare; Research object; Service facilities; Service systems; Services designs; Users' experiences; Museums | English | 2024 | 2024 | 10.1007/978-3-031-61147-6_1 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | Conference paper | Revolutionizing Surveillance: A Brief Survey of Edge AI Terminals in Road Infrastructure | The evolution of Closed-Circuit Television (CCTV) systems, initially designed for security, has transcended into diverse domains, impacting public spaces, transportation hubs, and commercial districts. While serving traditional roles in crime prevention, these systems now play vital roles in correctional institutions, education, and various industries. The proliferation of CCTV cameras, though providing extensive surveillance, presents challenges of network congestion and resource-intensive processing. This prompts the need for innovative solutions. Edge AI Terminals-A transformative approach that strategically places advanced computing capabilities closer to data sources, reducing reliance on centralized servers. Additionally, it can employ cutting-edge AI algorithms, enabling heightened efficiency and responsiveness. In this paper, we discuss the evolution of CVTV usage and the revolution of surveillance by integrating edge AI technology. We further discuss how edge AI terminals can play a key role in future road infrastructure. Finally, some major challenges and their potential solutions are highlighted. © 2024 IEEE. | Tariq, Muhammad Ashar; Ajmal, Mahnoor; Jo, Euiri; Saad, Malik Muhammad; Park, Seri; Kim, Jinhong; Kim, Dongkyun | School of Computer Science and Engineering, Kyungpook National University, South Korea; School of Computer Science and Engineering, Kyungpook National University, South Korea; School of Computer Science and Engineering, Kyungpook National University, South Korea; School of Computer Science and Engineering, Kyungpook National University, South Korea; School of Computer Science and Engineering, Kyungpook National University, South Korea; Electronics and Telecommunications Research Institute, South Korea; School of Computer Science and Engineering, Kyungpook National University, South Korea | 57219865336; 57238144300; 58978974800; 57220715290; 58978974900; 57195433331; 35753648800 | 6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024 | 0 | 2025-04-16 | 0 | CCTV; Edge AI; Surveillance | Security systems; Closed circuit television; Crime Prevention; Diverse domains; Edge AI; Network resource; Public space; Road infrastructures; Space transportations; Surveillance; Transportation hubs; Roads and streets | English | Final | 2024 | 10.1109/icaiic60209.2024.10463313 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | ○ | Proceedings Paper | RiF: Improving Read Performance of Modern SSDs Using an On-Die Early-Retry Engine | Modern high-performance SSDs have multiple flash channels operating in parallel to achieve their high I/O bandwidth. However, when the effective bandwidth of these flash channels declines, the SSD's overall bandwidth is substantially impacted. In contemporary SSDs featuring high-density 3D NAND flash memory, frequent invocations of a read-retry procedure pose a significant challenge to fully utilizing the maximum I/O bandwidth of a flash channel. In this paper, we propose a novel read-retry optimization scheme, Retry-in-Flash (RiF), which proactively minimizes the amount of time wasted in conventional read-retry procedures. Unlike existing read-retry solutions that focus on identifying an optimal read-reference voltage for a sensed page, the RiF scheme focuses on determining early on whether a read-retry will be required for the sensed data. To know if a read-retry is needed or not at the earliest possible time, we propose a RiF-enabled flash chip with an on-die early-retry (ODEAR) engine. When the ODEAR engine determines that a sensed page requires a read-retry, a read-reference voltage is immediately adjusted and the same page is re-read while ignoring the previously sensed page. By performing the key steps of a read-retry procedure inside a RiF flash chip without transferring the sensed uncorrectable page to an off-chip controller, the RiF scheme prevents the read bandwidth of a flash channel from being wasted due to failed read data. To evaluate the RiF scheme, we developed a prototype RiF-enabled flash chip and constructed a RiF-aware SSD simulator using RiF flash chips. Our evaluation results show that the proposed RiF scheme improves the effective SSD bandwidth by 72.1% on average over a state-of-the-art read-retry solution at 2K P/E cycles with negligible power and area overheads. | Chun, Myoungjun; Lee, Jaeyong; Kim, Myungsuk; Park, Jisung; Kim, Jihong | Seoul Natl Univ, Seoul, South Korea; Kyungpook Natl Univ, Daegu, South Korea; POSTECH, Pohang, South Korea | park, jisung/KFA-8003-2024 | 57211568029; 57802328800; 57194859467; 56095781900; 57202122647 | mjchun@davinci.snu.ac.kr;jylee@davinci.snu.ac.kr;ms.kim@knu.ac.kr;jisung.park@postech.ac.kr;jihong@davinci.snu.ac.kr; | 2024 IEEE INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE COMPUTER ARCHITECTURE, HPCA 2024 | 1530-0897 | 2.72 | 2025-04-16 | 3 | 5 | FLASH; RETENTION; VOLTAGE | Engines; Flash-based SSDs; Effective bandwidth; Evaluation results; Flash chips; Modern high performance; NAND flash memory; Off-chip; Optimization scheme; Read performance; Reference voltages; State of the art; Bandwidth | English | 2024 | 2024 | 10.1109/hpca57654.2024.00056 | 바로가기 | 바로가기 | 바로가기 | |||||||||||||
| ○ | ○ | Proceedings Paper | RL-Based Approach to Enhance Reliability and Efficiency in Autoscaling for Heterogeneous Edge Serverless Computing Environments | Edge serverless computing represents a rapidly advancing technological paradigm with various applications across multiple computing domains. However, resource constraints and workload variability significantly impact the availability, reliability, and scalability of edge serverless systems. To mitigate these challenges, we propose the implementation of reinforcement learning (RL) to optimize dynamic autoscaling configurations within Knative for edge servers. Our research is centered on developing specialized RL environments and agents specifically designed for edge computing scenarios, considering factors such as resource limitations, network variability, and proximity to end devices. We present a system architecture incorporating an RL agent into the existing infrastructure and demonstrate its efficacy in real-world edge computing environments. The experimental results indicate that our RL-based approach outperforms manual configurations, achieving a reduction in average latency of approximately 25% (from 7-12 milliseconds to 6 milliseconds) and an increase in throughput of over 40 % (from around 150 requests to 250 requests per 300-second episode). Furthermore, our solution enhances resource utilization in terms of CPU and memory management. These findings underscore the potential of intelligent autoscaling to improve the performance, reliability, and efficiency of edge serverless applications, thereby addressing the limitations associated with static configurations. This study highlights the significant impact of dynamic reinforcement learning on enhancing the dependability, availability, and scalability of edge computing systems. | Hadjou, Ilyas; Kwon, Young-Woo | Kyungpook Natl Univ, Dept Comp Sci & Engn, Daegu, South Korea | 59561236500; 57208480210 | hadjousslab@knu.ac.kr;ywkwon@knu.ac.kr; | 2024 IEEE 29TH PACIFIC RIM INTERNATIONAL SYMPOSIUM ON DEPENDABLE COMPUTING, PRDC | 1555-094X | 0 | 2025-05-07 | 0 | 0 | edge serverless computing; autoscaling; reinforcement learning; resource allocation; K-native | autoscaling; edge serverless computing; K-native; reinforcement learning; resource allocation | Efficiency; Memory management; Reinforcement learning; Resource allocation; Autoscaling; Computing domain; Computing environments; Edge computing; Edge serverless computing; K-native; Learning-based approach; Reinforcement learnings; Resource Constraint; Resources allocation; Mobile edge computing | English | 2024 | 2024 | 10.1109/prdc63035.2024.00046 | 바로가기 | 바로가기 | 바로가기 | |||||||||||||
| ○ | Proceedings Paper | Robust Navigation Based on an Interacting Multiple-Model Filtering Framework Using Multiple Tracking Cameras | A commercial tracking camera readily available in aerospace applications usually provides reliable navigation solutions. While the navigation resulting from a tracking camera sometimes fails or drifts in a certain environment, another tracking camera facing a different direction in the same environment is usable. To produce consistent navigation with multiple tracking cameras facing distinct directions, we propose a real-time fusion approach employing an interacting multiple-model filtering framework. In other words, estimation outputs from each tracking camera are weighted according to their accuracy and uncertainty to generate a robust navigation system. The real-world experiments show that the proposed navigation system overcomes sensor failure and loss of texture for one camera. | Arachchige, Sasanka Kuruppu; Lee, Kyuman | Tampere Univ, Comp Sci Dept, Tampere 33100, Finland; Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, Daegu 41566, South Korea | lee, kyuman/AAM-6979-2020 | AIAA SCITECH 2024 FORUM | 0 | English | 2024 | 2024 | 바로가기 | |||||||||||||||||||||||||
| ○ | Conference paper | Robust Navigation Based on an Interacting Multiple-Model Filtering Framework Using Multiple Tracking Cameras | A commercial tracking camera readily available in aerospace applications usually provides reliable navigation solutions. While the navigation resulting from a tracking camera sometimes fails or drifts in a certain environment, another tracking camera facing a different direction in the same environment is usable. To produce consistent navigation with multiple tracking cameras facing distinct directions, we propose a real-time fusion approach employing an interacting multiple-model filtering framework. In other words, estimation outputs from each tracking camera are weighted according to their accuracy and uncertainty to generate a robust navigation system. The real-world experiments show that the proposed navigation system overcomes sensor failure and loss of texture for one camera. © 2024 by The MITRE Corporation. Published by the American Institute of Aeronautics and Astronautics, Inc. | Arachchige, Sasanka Kuruppu; Lee, Kyuman | Tampere University, Tampere, 33100, Finland; Kyungpook National University, Daegu, 41566, South Korea | 59139565600; 57193932345 | AIAA SciTech Forum and Exposition, 2024 | 0 | 2025-04-16 | 0 | Aerospace applications; Air navigation; Facings; Navigation systems; Robotics; Textures; Commercial tracking; Filtering framework; Interacting multiple model filtering; Multiple tracking; Navigation solution; Real world experiment; Real- time; Robust navigation; Sensors' failures; Uncertainty; Cameras | English | Final | 2024 | 10.2514/6.2024-1175 | 바로가기 | 바로가기 | ||||||||||||||||||||
| ○ | Conference paper | Robust-Guaranteed Approximation of Disturbance Invariant Set for Systems with Near-Unit-Disk Spectral Radius | This study presents a practical algorithm for approximating the Robust Positively Invariant (RPI) set within the context of robust Tube Model Predictive Control (MPC) for discrete-time, linear time-invariant systems. When the stable matrix exhibits a spectral radius close to the unit disk, computing the RPI set becomes challenging, potentially rendering it infeasible. We first analyze the impact of the spectral radius on RPI set convergence, providing an insight into the problem. Subsequently, we propose an approach to integrate approximation into the RPI set computation while preserving the robustness of the corresponding tightened sets. This is achieved by enforcing the upper and lower dimensional bounds of the RPI set during computation. Additionally, we incorporate disturbance estimation error bounding into the Tube MPC framework to address substantial additive disturbances. These disturbances, if directly treated by Tube MPC, otherwise lead to over-conservative or empty tightened state and control sets. Throughout the study, we demonstrate the effectiveness of the proposed algorithm through numerical simulations of a car-following problem. © 2024 IEEE. | Nguyen, Duc Giap; Park, Suyong; Li, Nan; Park, Jinrak; Kim, Dohee; Eo, Jeong Soo; Han, Kyoungseok | Kyungpook National University, Graduate School of Mechanical Engineering, South Korea; Hanyang University, Department of Automotive Engineering, Seoul, 04763, South Korea; Tongji University, School of Automotive Studies, Shanghai, 201804, China; Hyundai Motor Company, Electrified Systems Control Research Lab, South Korea; Hyundai Motor Company, Electrified Systems Control Research Lab, South Korea; Hyundai Motor Company, Electrified Systems Control Research Lab, South Korea; Hanyang University, Department of Automotive Engineering, Seoul, 04763, South Korea | 57221496576; 57560254700; 57193099518; 57202138375; 57198638320; 36650692500; 56465294700 | everless95@knu.ac.kr; | Proceedings of the IEEE Conference on Decision and Control | 0743-1546 | 0 | 2025-05-07 | 0 | Discrete time control systems; Invariance; Linear control systems; Numerical control systems; Robust control; Robustness (control systems); Time varying control systems; Discrete-time linear time-invariant systems; Disturbance invariant set; Low dimensional; Model-predictive control; Robust positively invariant set; Set convergence; Spectral radius; Stable matrix; Tube model; Unit disk; Predictive control systems | English | Final | 2024 | 10.1109/cdc56724.2024.10886661 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Book chapter | Role of Green Synthesized Nanoparticles in Agriculture Technology | Global climate change, rapid increase in human population, and ecological stress limit crop production. Conventional strategies failed to mitigate the adverse effects on crops. A relatively new branch of nanoparticle research, termed “green synthesized nanoparticles” (GNPs), uses plant extract instead of hazardous chemicals that affect non-targeted places applied to agriculture to gain sustainability. Green synthesis seeks to support agricultural systems in sustainably maintaining agricultural production. The incorporation of green synthesized nanoparticles has the potential to revolutionize traditional farming methods by permitting the precise delivery of targeted biomolecules. A comprehensive study on a molecular level to explore the mechanism of action and effects of green synthesized nanoparticles by which plants and nanoparticles (NPs) interact to enhance plant stress tolerance and optimization of NP consumption is necessary to boost crop yields. Moreover, green synthesized nanoparticles are a well-known technology that can construct contemporary agricultural methods. In conclusion, this technology is at the forefront of using nanoscale advances to maximize crop protection and yield in an environmentally friendly manner. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. | Shaffique, Shifa; Odongkara, Peter; Imran, Muhammad; Injamum-Ul-Hoque, Md.; Ahsan, S.M.; Shah, Anis Ali; Khan, Muhammad Aaqil; Kang, Sang-Mo; Khan, Abdul Latif; Lee, In-Jung | School of Applied Biosciences, Kyungpook National University, Daegu, South Korea; School of Applied Biosciences, Kyungpook National University, Daegu, South Korea; School of Applied Biosciences, Kyungpook National University, Daegu, South Korea, Biosafety Division, National Institute of Agriculture Science, Rural Development Administration, Jeonju, South Korea; School of Applied Biosciences, Kyungpook National University, Daegu, South Korea; Department of Plant Medicals, Andong National University, Andong, South Korea; Department of Botany, University of Education, Lahore, Pakistan; School of Applied Biosciences, Kyungpook National University, Daegu, South Korea, Department of Chemical and Life Sciences, Qurtuba University of Science and Technology, Peshawar, Pakistan; School of Applied Biosciences, Kyungpook National University, Daegu, South Korea; Department of Engineering Technology, University of Houston, Houston, TX, United States; School of Applied Biosciences, Kyungpook National University, Daegu, South Korea | 57203898867; 58514830500; 58282433800; 58663974700; 7004038250; 57211606140; 57188585606; 56189696900; 26639372800; 16425830900 | ijlee@knu.ac.kr; | Nanotechnology in the Life Sciences | 2523-8027 | Part F3986 | 0 | 2025-05-07 | 0 | Biomolecules; Plant extract; Targeted delivery; GNT | English | Final | 2024 | 10.1007/978-3-031-76000-6_16 | 바로가기 | 바로가기 |
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