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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 | Involvement of TLR4-JNK/NF-κB signaling pathway in RAW264.7 cell activation of Protaetia brevitarsis seulensis larvae extracts | In the environment in which humans live, there are various antigens that invade the human body and interfere with humans leading a healthy life, so the immune system recognizes the antigen then removes them through a complex mechanism. Macrophages are widely distributed immune cells involved in the innate immune system, and produce various immune modulators such as inducible nitric oxide synthase-induced nitric oxide, cyclooxygenase-2 induced prostaglandin E2 and proinflammatory cytokines such as tumor necrosis factor-alpha. On the other hand, Protaetia brevitarsis seulensis larvae are a type of edible insect that have emerged as an alternative to the future food supply problem. The immuno-modulatory effect through the activation of murine macrophage RAW264.7 cell via mitogen-activated protein kinases (MAPKs)/nuclear factor-kappa B (NF-κB) signaling pathways has been reported. Based on this report, in this study, we confirmed how the expression of immune modulators induced by Protaetia brevitarsis seulensis larvae extracts in RAW264.7 cells was changed by treatment with pharmacological inhibitors of toll-like receptor 4 (TLR4), MAPKs and NF-κB signaling pathways. As a result, reduction of immune modulators was confirmed in the c-Jun N-terminal kinase (JNK) inhibitor treatment group and NF-κB inhibitor treatment group among the Protaetia brevitarsis seulensis larvae-treated RAW264.7 cell. Furthermore, in the TLR4 inhibitor-treated group, decreases in phosphorylation of JNK and NF-κB factors were confirmed in Protaetia brevitarsis seulensis larvae-treated RAW264.7 cell, as well as decreases in immune modulators. This results suggest that Protaetia brevitarsis seulensis larvae activates RAW264.7 cells by the engagement of TLR4-JNK/NF-κB signaling pathway. © The Korean Society for Applied Biological Chemistry 2023. | Park, Ju-Hwi; Chae, Jongbeom; Lee, Joon Ha; Hahn, Dongyup; Nam, Ju-Ock | Department of Food Science and Biotechnology, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 702-701, South Korea; Department of Food Science and Biotechnology, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 702-701, South Korea; Department of Agricultural Biology, National Institute of Agricultural Sciences, Rural Development Administration, Jeonbuk, Wanju-gun, 55362, South Korea; Institute of Agricultural Science and Technology, Kyungpook National University, Daegu, 41404, South Korea; Department of Food Science and Biotechnology, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 702-701, South Korea, Research institute of Tailored Food Technology, Kyungpook National University, Daegu, 41566, South Korea | 59073815500; 57204499421; 37960965000; 36554163400; 7201496105 | Dohahn@knu.ac.kr;namjo@knu.ac.kr; | Journal of Applied Biological Chemistry | 1976-0442 | 66 | 1 | 0.28 | 2025-06-25 | 2 | c-Jun N-terminal kinase; Edible insect food; Immune modulators; Macrophage; Nuclear factor-kappa B | Korean | Final | 2023 | 10.3839/jabc.2023.059 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Conference paper | IoT Geography Chain: Blockchain-Based Solution for Logistics Ecosystem | Internet of Things (IoT) is emerging rapidly, thus opening the ear of connectedness and improving business worldwide. IoT devices tend to communicate without human intervention and thus could be more vulnerable to attacks, especially in logistics where it is difficult to reassure the path adopted by the transport services. End-to-end trust is difficult to build, and most of the times IoT requires human intervention to proceed the logistics operations. Our study proposes a solution with blockchain and smart contract to work with GPS data to build trusted paths and premises. Such trusted paths and premises can trigger smart contract automatically to reduce the human intervention in logistics process. For evaluation of our study, we demonstrate the path creation process with graph, smart contract triggering system, and data check-up to authorize IoT devices to proceed with communications. Our proposed method creates secured path and premises for logistic IoT which lead to build end-to-end trust and automated triggering system for smart contract. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. | Gul, Malik Junaid Jami; Paul, Anand | Kyungpook National University, Daegu, South Korea; Kyungpook National University, Daegu, South Korea | 57203752948; 56650522400 | paul.editor@gmail.com; | EAI/Springer Innovations in Communication and Computing | 2522-8595 | 1.03 | 2025-06-25 | 2 | Blockchain; Geo-chain; GPS; IoT | Blockchain; Block-chain; Creation process; End to end; Geo-chain; GPS data; Human intervention; Logistic operations; Logistics process; Transport services; Triggering systems; Internet of things | English | Final | 2023 | 10.1007/978-3-030-94285-4_12 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | Article | Isolation and characterization of a lytic Salmonella Typhimurium-specific phage as a potential biofilm control agent | This study aimed to characterize a lytic Salmonella Typhimurium-specific (ST) phage and its biofilm control capability against S. Typhimurium biofilm on polypropylene surface. ST phage was isolated, propagated, and purified from water used in a slaughterhouse. The morphology of ST phage was observed via transmission electron microscopy. Its bactericidal effect was evaluated by determining bacterial concentrations after the phage treatment at various multiplicities of infection (MOIs) of 0.01, 1.0, and 100. Once the biofilm was formed on the polypropylene tube after incubation at 37℃ for 48 h, the phage was treated and its antibiofilm capability was determined using crystal violet staining and plate count method. The phage was isolated and purified at a final concentration of ∼11 log PFU/mL. It was identified as a myophage with an icosahedral head (∼104 nm) and contractile tail (∼90-115 nm). ST phage could significantly decrease S. Typhimurium population by ∼2.8 log CFU/mL at an MOI of 100. After incubation for 48 h, biofilm formation on polypropylene surface was confirmed with a bacterial population of ∼6.9 log CFU/cm2. After 1 h treatment with ST phage, the bacterial population in the biofilm was reduced by 2.8 log CFU/cm2. Therefore, these results suggest that lytic ST phage as a promising biofilm control agent for eradicating S. Typhimurium biofilm formed on food contact surfaces. Copyright © 2023 The Korean Society of Food Preservation. | Kim, Su-Hyeon; Park, Mi-Kyung | School of Food Science and Biotechnology, Kyungpook National University, Daegu, 41566, South Korea, Food and Bio-Industry Research Institute, Kyungpook National University, Daegu, 41566, South Korea; School of Food Science and Biotechnology, Kyungpook National University, Daegu, 41566, South Korea, Food and Bio-Industry Research Institute, Kyungpook National University, Daegu, 41566, South Korea | 57217051011; 7404491155 | parkmik@knu.ac.kr; | Korean Journal of Food Preservation | 1738-7248 | 30 | 1 | 0.14 | 2025-06-25 | 1 | biocontrol; biofilm control; lytic phage; polypropylene; Salmonella Typhimurium | English | Final | 2023 | 10.11002/kjfp.2023.30.1.42 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Conference paper | Joint Deployment of LAU and HAU for Hierarchical Space-Air-Ground Communications | Unmanned aerial vehicles (UAVs) are becoming increasingly crucial in facilitating flexible and on-demand wireless connections in 5G and beyond (B5G) communication systems. This paper examines the joint deployment of Low Altitude UAVs (LAUs) and High Altitude UAVs (HAUs) within a four-tier Space-Air-Ground (SAG) communication system, which comprises ground IoT nodes, LAUs, HAUs, and satellites organized in a hierarchical structure, with the objective of achieving efficient and reliable transmission. The communication between an IoT node and the satellite in the SAG system occurs through a cascading wireless channel, involving sequential connections from the IoT node to the LAU, HAU, and satellite. The minimal data capacity among the links of a cascading channel becomes a bottleneck for communication. Therefore, it is essential to avoid significant rate differences among the cascading channel links and ensure a similar data rate across all links to maximize resource utilization efficiency. In this context, we propose a joint optimization of the deployment of LAUs and HAUs to maximize the minimum data capacity of links on a cascading channel. Specifically, we present a Particle Swarm Optimization (PSO) algorithm to achieve this goal. Simulation results demonstrate that the proposed PSO algorithm, which jointly optimizes the deployment of LAUs and HAUs, outperforms scenarios where LAUs and HAUs are deployed in fixed positions. © 2023 IEEE. | Mo, Jiang; Zhao, Ke; Peng, Limei | School of Computer Science and Engineering, Kyungpook National University, Deagu, South Korea; School of Computer Science and Engineering, Kyungpook National University, Deagu, South Korea; School of Computer Science and Engineering, Kyungpook National University, Deagu, South Korea | 58068977900; 57439189700; 7201574271 | auroraplm@knu.ac.kr; | Proceedings - 2023 International Conference on Networking and Network Applications, NaNA 2023 | 1.07 | 2025-06-25 | 2 | Joint deployment of LAUs and HAUs; PSO algorithm; Space-Air-Ground communication system | 5G mobile communication systems; Antennas; Internet of things; Satellite communication systems; Satellites; Vehicle to vehicle communications; Aerial vehicle; Air/ground communication; Communications systems; Data capacity; Joint deployment of low altitude UAV and high altitude UAV; Low altitudes; On demands; Particle swarm optimization algorithm; Space-air-ground communication system; Wireless connection; Particle swarm optimization (PSO) | English | Final | 2023 | 10.1109/nana60121.2023.00030 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Book chapter | Joint Structures of Box Beams | This chapter presents a higher-order beam analysis of a joint structure in which multiple straight box beam members are connected at a joint, as shown in Fig. 10.1a. Owing to extensive section deformation occurring near the joint, the overall structural behavior of the joint structure becomes considerably more flexible than predicted by the classical beam theory (Donders et al. (2009); Mundo et al. (2009)). One can certainly expect improved or more accurate predictions with a higher-order beam theory, but the field variables of multiple box beams at the joint are difficult to match (Basaglia et al. (2012); Basaglia et al. (2018); Choi et al. (2012); Choi and Kim (2016a, 2016b); Jang et al. (2008); Jang and Kim (2009); Jang et al. (2013). Unless they are matched accurately, there is no way to make the use of the advantages of a higher-order beam theory which is shown to be accurate for straight box beams without any joints. © 2023, Springer Nature Singapore Pte Ltd. | Kim, Yoon Young; Jang, Gang-Won; Choi, Soomin | Department of Mechanical Engineering, Seoul National University, Seoul, South Korea; Department of Mechanical Engineering, Sejong University, Seoul, South Korea; School of Mechanical Engineering, Kyungpook National University, Daegu, South Korea | 36062771200; 7102646127; 56124305600 | yykim@snu.ac.kr; | Solid Mechanics and its Applications | 0925-0042 | 257 | 0 | 2025-06-25 | 0 | Accurate prediction; Beam analysis; Box beam; Classical beam theory; Field variables; Higher-order beam theories; Higher-order beams; Joints Structure; Section deformations; Structural behaviors | English | Final | 2023 | 10.1007/978-981-19-7772-5_10 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | Book chapter | Joint Structures of Thin-Walled Beams with General Section Shapes | In Chap. 10, we derived joint-matching conditions for a box beam by considering the equilibrium conditions of sectional and edge resultants, which are represented in terms of generalized forces. The principle of virtual work was used to derive the matching conditions in analytic form for the field variables. For a cross-section with a general shape, edge resultants may also be defined by following a procedure similar to that of a box beam. However, it is difficult to establish the matching conditions in analytic form because the relative positions of the matching edges of joining beams can be neither parallel nor intersecting. Furthermore, sectional edges are not always one-to-one matched when beams of different sectional shapes are connected at a joint. Therefore, an alternative method which does not explicitly deal with edge resultants should be developed. © 2023, Springer Nature Singapore Pte Ltd. | Kim, Yoon Young; Jang, Gang-Won; Choi, Soomin | Department of Mechanical Engineering, Seoul National University, Seoul, South Korea; Department of Mechanical Engineering, Sejong University, Seoul, South Korea; School of Mechanical Engineering, Kyungpook National University, Daegu, South Korea | 36062771200; 7102646127; 56124305600 | yykim@snu.ac.kr; | Solid Mechanics and its Applications | 0925-0042 | 257 | 0 | 2025-06-25 | 0 | Box beam; Equilibrium conditions; Field variables; Generalized force; Joints Structure; Matching condition; Matchings; Principle of virtual work; Relative positions; Thin-walled beam; Thin walled structures | English | Final | 2023 | 10.1007/978-981-19-7772-5_11 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | Conference paper | Keeping Drivers Alert: A Solution for Monitoring Driver Attention in Assisted-Driving Vehicles | The advent of the new industrial revolution has led to a surge in the number of self-driving and assisted-driving vehicles on the roads. Although this development enhances the overall quality of life, it also poses new challenges and risks. One such difficulty is the need for driver attention in the event of system errors. To overcome this issue, a driver monitoring system is necessary to ensure that the driver remains focused and can take control if necessary, while also sending alerts in case of driver distraction. To address this challenge, we propose a method that employs a convolutional neural network based on the ResNet architecture. This system can recognize selected types of driver distractions in captured infrared images. We experimented with different depths of the ResNet architecture to determine the most optimal results. The best model achieved an accuracy rate of 94% in detecting various forms of driver distraction. © 2023 MIPRO Croatian Society. | Jutresa, Robert; Peer, Peter; Emersic, Ziga; Kim, Jihun | Faculty of Computer and Information Science, Computer Vision Laboratory, Ljubljana, Slovenia; Faculty of Computer and Information Science, Computer Vision Laboratory, Ljubljana, Slovenia; Faculty of Computer and Information Science, Computer Vision Laboratory, Ljubljana, Slovenia; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea | 58490440300; 7003277146; 56097253100; 56024681400 | rj7149@student.uni-lj.si;peter.peer@fri.uni-lj.si;ziga.emersic@fri.uni-lj.si; | 2023 46th ICT and Electronics Convention, MIPRO 2023 - Proceedings | 0 | 2025-06-25 | 0 | CNN; distraction detection; drowsy driving; ResNet | Automobile drivers; Convolutional neural networks; Infrared imaging; Microelectronics; Assisted drivings; Distraction detection; Driver attention; Driver distractions; Drowsy driving; Industrial revolutions; Overall quality; Quality of life; Resnet; Self drivings; Network architecture | English | Final | 2023 | 10.23919/mipro57284.2023.10159873 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Conference paper | Keyframe Selection for Acoustic Odometry Estimation Using Forward Looking Sonar | This study proposes a method to improve the accuracy of acoustic odometry using keyframe selection. The acoustic odometry was estimated based on Fourier-based image registration using images acquired from forward-looking sonar (FLS). The odometry estimation error increases when image registration fails due to spurious peaks and high similarity image pairs. The image pair selection must be adjusted prior to image registration in order to reduce the effects of spurious peaks and high similarity image pairs. We proposed a method for the adaptive frame interval by analyzing the factors affecting phase correlation for the accuracy of odometry. The odometry errors were reduced by using keyframe selection using adaptive frame intervals. The proposed method of verification using real-sea data is presented by comparing the odometry estimation results of USBL and a fixed frame interval using UUV cyclops. © 2023 The Marine Technology Society (MTS). | Yoon, Eunchul; Joe, Hangil | Kyungpook National University, Department of Robot and Smart System Engineering, Daegu, South Korea; Kyungpook National University, Department of Robot and Smart System Engineering, Daegu, South Korea | 58782532600; 55848385500 | Oceans Conference Record (IEEE) | 0197-7385 | 0 | 2025-06-25 | 0 | FFT; FLS; Image registration; Odometry; Underwater Robot; USBL | Oceanography; Sonar; Underwater acoustics; Vision; Adaptive frame; Estimation errors; Forward looking sonars; Fourier; Image pairs; Images registration; Key frame selection; Odometry; Underwater robots; USBL; Image registration | English | Final | 2023 | 10.23919/oceans52994.2023.10337176 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Article | Knowledge Distillation for Optical Flow-Based Video Superresolution | Recently, deep learning-based super-resolution (SR) models have been used to improve SR performance by equipping preprocessing networks with baseline SR networks. In particular, in video SR, which creates a high-resolution (HR) image with multiple frames, optical flow extraction is accompanied by a preprocessing process. These preprocessing networks work effectively in terms of quality, but at the cost of increased network parameters, which increase the computational complexity and memory consumption for SR tasks with restricted resources. One well-known approach is the knowledge distillation (KD) method, which can transfer the original model’s knowledge to a lightweight model with less performance degradation. Moreover, KD may improve SR quality with reduced model parameters. In this study, we propose an effective KD method that can effectively reduce the original SR model parameters and even improve network performance. The experimental results demonstrated that our method achieved a better PSNR than the original state-of-the-art SR network despite having fewer parameters. © 2023. The Korean Institute of Information Scientists and Engineers | Lee, Jungwon; Park, Sang-hyo | School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea; School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea | 57219710729; 55362514700 | ljw8541@knu.ac.kr; | Journal of Computing Science and Engineering | 1976-4677 | 17 | 1 | 0.13 | 2025-06-25 | 1 | Deep learning; Knowledge distillation; Optical flow; Super-resolution; Video super-resolution | Deep learning; Distillation; Learning systems; Optical resolving power; Deep learning; Distillation method; Flow based; Knowledge distillation; Learning-based super-resolution; Modeling parameters; Performance; Super-resolution models; Superresolution; Video super-resolution; Optical flows | English | Final | 2023 | 10.5626/jcse.2023.17.1.13 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Article | Korean neologisms of 2017–2021: Correlation Between Borrowing, Semantic Characteristics, and Lexicographic Representation | This paper investigates the Korean neologisms of the years 2017 to 2021, collected by the Center for Korean Language Information Studies at Kyungpook National University, and examines in particular the 1,081 neologisms that contains at least one borrowed element, which constitute 58.2% of the neologisms collected during that timeframe. The analysis of the source languages of the loans (i.e., the borrowed elements) confirms the preponderance of English in neologism cre-ation due to its status and prestige globally, with 1,024 neologisms containing at least one English morpheme. The examination of semantic categories of the loan-based neologisms shows the dominant interest of Korean speakers in the Economy, Society, and Life & Lifestyle domains, which is also reflected in those that were included in the dictionary Urimalsaem or suggested for inclusion by the dictionary users. Those neologisms in particular were further analysed and proved to be testament to cultural changes in Korean society, which has been shifting from a traditionally Confucian, male-dominant, work-oriented, and holistic society to a society that gives more space to women (ppaminisuthu “dad feminist”) as well as the individual (nanalayntu “me-me-land”) and their well-being (welapayl “work-life balance”, chonkhangsu “countryside vacances”). © 2023, equinox publishing. | Jung, Hae-Yun; Lee, Soojin | Kyungpook National University, Daegu, South Korea; Kyungpook National University, Daegu, South Korea | 57205293023; 57217069018 | Lexicography | 2197-4292 | 10 | 2 | 0 | 2025-06-25 | 0 | Korean neologisms; lexicography; loan-based neologisms; loanwords; semantic categories | English | Final | 2023 | 10.1558/lexi.26353 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | Article | Laser-induced Deposition Method for Mask-less Copper Patterning on the Glass Substrate | This study investigated the Laser-Induced Plasma Backward Deposition (LIPBD) process for transparent glass-copper composite film production. LIPBD was compared with Laser-Induced Backward Transfer (LIBT). Controlling laser parameters and the z-axis position of Depth of focus (DOF) resulted in various post-deposition outcomes. The optimal deposition depth was 10 µm to 90 µm, ensuring good glass-copper adhesion. Scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS) mapping confirmed copper and copper oxide (CuO) particles. X-ray diffraction confirmed Cu and CuO peaks. The adhesive test showed a strong binding between glass and deposition, but the parts of the cracks caused by heat accumulation were delaminated during the test. LIPBD offers controlled deposition potential for glass-copper composites. Optimizing laser parameters leads to high-quality films. This study provides valuable insights into nanotechnology and the semiconductor industry, with potential applications across diverse fields. © 2023 Korean Society for Precision Engineeing. All rights reserved. | Lee, Yonghoon; Lee, Hwanggyu; Kim, Dong Min; Kim, Taewook; Kim, Jisoo | Department of Advanced Science and Technology Convergence, Kyungpook National University, South Korea; Department of Advanced Science and Technology Convergence, Kyungpook National University, South Korea; Precision Mechanical Process and Control R&D Group, Korea Institute of Industrial Technology, South Korea; Department of Advanced Science and Technology Convergence, Kyungpook National University, South Korea, Department of Precision Mechanical Engineering, Kyungpook National University, South Korea; Department of Advanced Science and Technology Convergence, Kyungpook National University, South Korea, Department of Precision Mechanical Engineering, Kyungpook National University, South Korea | 58773693800; 57224504819; 57203012563; 57030752600; 57192647685 | kimtw@knu.ac.kr;js.kim@knu.ac.kr; | Journal of the Korean Society for Precision Engineering | 1225-9071 | 40 | 12 | 0 | 2025-06-25 | 0 | Laser induced deposition; Laser induced plasma backward deposition; Mask-less copper pattern | Korean | Final | 2023 | 10.7736/jkspe.023.084 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Proceedings Paper | Latent Space Navigation for Face Privacy: A Case Study on the MNIST Dataset | Preserving privacy in facial recognition systems while maintaining high accuracy is a challenging problem. In this research, we propose a novel method for achieving image privacy with latent space navigation and synthetic data generation. Our approach aims to generate synthetic samples that are ambiguous to recognize for humans while still being correctly classified by the classifier. To demonstrate the effectiveness of our method, we conduct experiments on the MNIST dataset, chosen for its interpretability and low dimensionality. We create latent spaces with different dimensions (10-D, 30-D, and 50-D) through an encoder-decoder architecture, enabling controlled sampling close to class boundaries. Our optimization technique ensures privacy protection by producing diverse and confusing images that the MNIST digit classifier can correctly identify. The results of our study serve as a foundation for future research in privacy-preserving facial recognition systems, offering a promising direction to safeguard user privacy without compromising classifier accuracy. | Shaheryar, Muhammad; Laishram, Lamyanba; Lee, Jong Taek; Jung, Soon Ki | Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea | ; Jung, Soon Ki/P-7687-2018; Shaheryar, Muhammad/NBW-9729-2025 | 56132068000; 57219930647; 24341317500; 57226791905 | shaheryar@knu.ac.kr;yanbalaishram@knu.ac.kr;jongtaeklee@knu.ac.kr;skjung@knu.ac.kr; | ADVANCES IN VISUAL COMPUTING, ISVC 2023, PT I | 0302-9743 | 1611-3349 | 14361 | 0 | 2025-06-25 | 0 | 0 | Latent space walk; Face perturbation; Autoencoder | Autoencoder; Face perturbation; Latent space walk | Learning systems; Privacy-preserving techniques; Auto encoders; Case-studies; Face perturbation; Facial recognition systems; High-accuracy; Latent space walk; Navigation data; Novel methods; Space navigation; Space walks; Face recognition | English | 2023 | 2023 | 10.1007/978-3-031-47969-4_19 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | ○ | Proceedings Paper | LEAKPAIR: Proactive Repairing of Memory Leaks in Single Page Web Applications | Modern web applications often resort to application development frameworks such as React, Vue.js, and Angular. While the frameworks facilitate the development of web applications with several useful components, they are inevitably vulnerable to unmanaged memory consumption since the frameworks often produce Single Page Applications (SPAs). Web applications can be alive for hours and days with behavior loops, in such cases, even a single memory leak in a SPA app can cause performance degradation on the client side. However, recent debugging techniques for web applications still focus on memory leak detection, which requires manual tasks and produces imprecise results. We propose LEAKPAIR, a technique to repair memory leaks in single page applications. Given the insight that memory leaks are mostly non-functional bugs and fixing them might not change the behavior of an application, the technique is designed to proactively generate patches to fix memory leaks, without leak detection, which is often heavy and tedious. To generate effective patches, LEAKPAIR follows the idea of pattern-based program repair since the automated repair strategy shows successful results in many recent studies. We evaluate the technique on more than 20 open-source projects without using explicit leak detection. The patches generated by our technique are also submitted to the projects as pull requests. The results show that LEAKPAIR can generate effective patches to reduce memory consumption that are acceptable to developers. In addition, we execute the test suites given by the projects after applying the patches, and it turns out that the patches do not cause any functionality breakage; this might imply that LEAKPAIR can generate non-intrusive patches for memory leaks. | Shahoor, Arooba; Khamit, Askar Yeltayuly; Yi, Jooyong; Kim, Dongsun | Kyungpook Natl Univ, Daegu, South Korea; UNIST, Ulsan, South Korea | Kim, Dongsun/B-4856-2015 | 57202114926; 58532164600; 58298005800; 55742964600 | arooba.shahoor@knu.ac.kr;khamit.askar@unist.ac.kr;jooyong@unist.ac.kr;darkrsw@knu.ac.kr; | 2023 38TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING, ASE | 1527-1366 | 1.61 | 2025-06-25 | 0 | 3 | memory leaks; program repair; non-intrusive fixes; single page applications | memory leaks; non-intrusive fixes; program repair; single page applications | Application programs; Program debugging; Repair; Application development frameworks; Leaks detections; Memory consumption; Memory leaks; Non-intrusive; Non-intrusive fix; Program repair; Single page application; WEB application; Web applications; Leak detection | English | 2023 | 2023 | 10.1109/ase56229.2023.00097 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||
| ○ | ○ | Proceedings Paper | Learning Associative Reasoning Towards Systematicity Using Modular Networks | Learning associative reasoning is necessary to implement human-level artificial intelligence even when a model faces unfamiliar associations of learned components. However, conventional memory augmented neural networks (MANNs) have shown degraded performance on systematically different data since they lack consideration of systematic generalization. In this work, we propose a novel architecture for MANNs which explicitly aims to learn recomposable representations with a modular structure of RNNs. Our method binds learned representations with a Tensor Product Representation (TPR) to manifest their associations and stores the associations into TPR-based external memory. In addition, to demonstrate the effectiveness of our approach, we introduce a new benchmark for evaluating systematic generalization performance on associative reasoning, which contains systematically different combinations of words between training and test data. From the experimental results, our method shows superior test accuracy on systematically different data compared to other models. Furthermore, we validate the models using TPR by analyzing whether the learned representations have symbolic properties. | Bae, Jun-Hyun; Park, Taewon; Lee, Minho | Kyungpook Natl Univ, 80 Daehak Ro, Daegu, South Korea; NEOALI, 80 Daehak Ro, Daegu, South Korea | Bae, Jun-Hyun/AAZ-9985-2021 | 57222760538; 57219762271; 57191730119 | junhyun.bae@knu.ac.kr;ptw4570@knu.ac.kr;mholee@knu.ac.kr; | NEURAL INFORMATION PROCESSING, ICONIP 2022, PT II | 0302-9743 | 1611-3349 | 13624 | 1.03 | 2025-06-25 | 0 | 2 | Associative reasoning; Memory augmented neural networks; Systematic generalization | Associative reasoning; Memory augmented neural networks; Systematic generalization | Associative processing; Associative reasonings; Generalisation; Human levels; Memory augmented neural network; Modular network; Neural-networks; Product representation; Systematic generalization; Systematicity; Tensor products; Benchmarking | English | 2023 | 2023 | 10.1007/978-3-031-30108-7_10 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | Article | LEGO® Education SPIKETM Prime-based Atomic Force Microscope for Science Education | An atomic force microscope (AFM) is a powerful analytical tool for many fields of science and engineering. Despite its usefulness, the actual instrument is highly technical and expensive, rendering it inaccessible to a majority of practitioners in science and engineering education. Growing curiosity of students through the hands-on learning method is appealing to education managers. Adoption of LEGO® or similar educational kits into a school environment can not only fascinate the interests of students for learning but also resolve the cost problems. Our conceptual AFM system constructed with LEGO® Education SPIKETM Prime kit is very much suitable for explaining the principles behind the workings of an AFM while promoting students interests in experimental aspects of scientific instrumentation. © 2023 The Korean Physical Society. All rights reserved. | Nguyen, Thi Ngoc; Otieno, Luke Oduor; Nguyen, Thi Thu; Juma, Oyoo Michael; Lee, Yong Joong; Park, Jae-Sung; Lee, Ho | School of Mechanical Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Mechanical Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Mechanical Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Mechanical Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Mechanical Engineering, Kyungpook National University, Daegu, 41566, South Korea; Institute of Nanophotonic Application, Kyungpook National University, Daegu, 41566, South Korea; Department of Robot and Smart Systems Engineering, Kyungpook National University, Daegu, 41566, South Korea | 57216184573; 57205578290; 58811314600; 58553964600; 57183248500; 57221145710; 26660670700 | yjlee76@knu.ac.kr;holee@knu.ac.kr; | New Physics: Sae Mulli | 0374-4914 | 73 | 11 | 0 | 2025-06-25 | 0 | Atomic Force Microscope; Lego; Nanoscience; Physics Education; Python; STEM Education | English | Final | 2023 | 10.3938/npsm.73.992 | 바로가기 | 바로가기 |
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