연구성과로 돌아가기
2023 연구성과 (163 / 285)
※ 컨트롤 + 클릭으로 열별 다중 정렬 가능합니다.
Excel 다운로드
| WoS | SCOPUS | Document Type | Document Title | Abstract | Authors | Affiliation | ResearcherID (WoS) | AuthorsID (SCOPUS) | Author Email(s) | Journal Name | JCR Abbreviation | ISSN | eISSN | Volume | Issue | WoS Edition | WoS Category | JCR Year | IF | JCR (%) | FWCI | FWCI Update Date | WoS Citation | SCOPUS Citation | Keywords (WoS) | KeywordsPlus (WoS) | Keywords (SCOPUS) | KeywordsPlus (SCOPUS) | Language | Publication Stage | Publication Year | Publication Date | DOI | JCR Link | DOI Link | WOS Link | SCOPUS Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ○ | ○ | Article | Linearization Weight Compression and In-Situ Hardware-Based Decompression for Attention-Based Neural Machine Translation | As recent machine translation models are mostly based on the attention-based neural machine translation (NMT), many well-known models such as Transformer or bidirectional encoder representations from Transformers (BERT) have been proposed. Along with algorithmic advancements, hardware acceleration methods for those attention-based neural machine translation models have also been introduced. However, the size of the parameters for attention-based NMT is also becoming larger to guarantee the satisfactory machine translation quality. Among various weights, linearization weights (W-Q , W-K , W-V , and W-O) account for a non-negligible portion (by up to 30%) among the entire parameters in the modern NMT models. In this paper, we propose a method for linearization weight compression and near-memory hardware decoder for fast and in-situ weight decompression. Our weight compression method exploits the fixed-point quantization along with Huffman coding which is selectively applied depending on the weight value distribution. Our hardware decoder decompresses the Huffman-coded weights near-memory to minimize the weight decoding latency. Our compression method shows 4.9-10.0 compression ratio with small NMT score drops across the five widely used attention-based NMT models (Transformer, Transformer-XL-base, Transformer-XL-large, BERT-base, and BERT-large). In addition, due to the reduced linearization weight size, our proposed method with near-memory decoding enables multi-head attention (MHA) execution latency reduction by 11.8%, on average, as compared to the baseline when considering the weight loading and initialization. In terms of the memory data transfer energy consumption, our proposed method leads to a memory energy saving of 16.1%, on average, as compared to the baseline. | Go, Mijin; Kong, Joonho; Munir, Arslan | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea; Kansas State Univ, Dept Comp Sci, Manhattan, KS 66506 USA | 58261389700; 25927220400; 24587067400 | joonho.kong@knu.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 11 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2023 | 3.4 | 34.4 | 0 | 2025-06-25 | 0 | 0 | Decoding; Transformers; Quantization (signal); Machine translation; Memory management; Load modeling; Huffman coding; Neural machine translation; multi-head attention; quantization; hardware-based near-memory decoding | EFFICIENT | hardware-based near-memory decoding; Huffman coding; multi-head attention; Neural machine translation; quantization | Acceleration; Computational linguistics; Computer aided language translation; Data transfer; Energy conservation; Energy utilization; Linearization; Neural machine translation; Quantization (signal); Decoding; Hardware-based near-memory decoding; Huffman coding; Load modeling; Machine translations; Memory-management; Multi-head attention; Quantisation; Quantization (signal); Transformer; Decoding | English | 2023 | 2023 | 10.1109/access.2023.3271640 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Many-Objective Real-World Engineering Problems: A Comparative Study of State-of-the-Art Algorithms | Many-objective optimization has recently gained popularity as it poses significant challenges for the existing algorithms. Therefore, numerous optimization algorithms have been developed to handle many-objective optimization in the literature. In addition, several studies have conducted experimental comparisons to assess the performance of optimization algorithms. Nevertheless, existing empirical studies have analyzed the performance of optimization algorithms on well-defined test problems, but it remains unclear whether the results translate to real-world scenarios. Furthermore, empirical studies on validating the performance of algorithms on real-world many-objective problems are intriguing but not yet fully explored. Therefore, in this article, we present a comprehensive comparative study evaluating the performance of 15 state-of-the-art algorithms on ten real-world many-objective applications with four to ten objectives from various domains. Further, these ten applications exhibit various mathematically challenging properties, including stochastic objectives, complex Pareto frontiers, and strong nonlinearity. In addition, four performance metrics are employed to visualize the performance of MOEAs in experimental settings. Based on comparative results, the performance of state-of-the-art algorithms with respect to different problems is evaluated herein. | Palakonda, Vikas; Kang, Jae-Mo | Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea | 57193028485; 56024930400 | jmkang@knu.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 11 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2023 | 3.4 | 34.4 | 0.52 | 2025-06-25 | 3 | 4 | Convergence; diversity; many-objective optimization; multi-objective optimization; real-world application | NONDOMINATED SORTING APPROACH; EVOLUTIONARY ALGORITHM; OPTIMIZATION; DIVERSITY; SELECTION | Convergence; diversity; many-objective optimization; multi-objective optimization; real-world application | Multiobjective optimization; Convergence; Diversity; Many-objective optimizations; Multi-objectives optimization; Optimisations; Performance; Real-world; Real-world application; Source-coding; Stochastic systems | English | 2023 | 2023 | 10.1109/access.2023.3294095 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Networked Tracking Control Based on Internal Model Principle and Adaptive Event-Triggering Mechanism | In this paper, the non-static error tracking control issue for the networked control system is considered. First, the unstable modes of the external disturbance signal and the output signal of the reference system are established to form a new series system with the controlled objects. Then, an internal model compensation controller is presented to achieve non-static tracking error. Furthermore, an adaptive event triggering mechanism is introduced as a communication method to improve network resource utilization. By formulating the tracking control problem of the networked control system as the stabilization problem of a time-varying time-delay system, a sufficient condition such that the closed-loop system is asymptotically stable and satisfies the H-infinity output tracking performance is derived. Finally, the simulation examples illustrate the feasibility and effectiveness of the proposed approach. | Pan, Xiaozhen; Huang, Jinjie; Lee, Sangmoon | Harbin Univ Sci & Technol, Heilongjiang Prov Key Lab Complex Intelligent Syst, Harbin 150080, Peoples R China; Harbin Univ Sci & Technol, Sch Comp Sci & Technol, Harbin 150080, Peoples R China; Harbin Univ Sci & Technol, Sch Automat, Harbin 150080, Peoples R China; Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea | Lee, Sangmoon/C-4502-2018 | 57201614117; 15069583900; 59510733500 | moony@knu.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 11 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2023 | 3.4 | 34.4 | 0.39 | 2025-06-25 | 3 | 3 | Adaptation models; Control systems; Networked control systems; Servomotors; Time-varying systems; Symmetric matrices; Delays; The internal model principle; H-infinity output tracking control; networked control systems; adaptive event-triggering mechanisms; time-delay systems | TRAJECTORY TRACKING; SYSTEMS; FEEDBACK | adaptive event-triggering mechanisms; H∞ output tracking control; networked control systems; The internal model principle; time-delay systems | Adaptive control systems; Closed loop control systems; Delay control systems; Error compensation; Navigation; Time delay; Time varying control systems; Time varying networks; Adaptation models; Adaptive event-triggering mechanism; Delay; Events triggering; H ∞; H∞ output tracking control; Output tracking control; Symmetric matrices; The internal model principle; Time-delay systems; Time-varying systems; Triggering mechanism; Networked control systems | English | 2023 | 2023 | 10.1109/access.2023.3253763 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | ParSCL: A Parallel and Distributed Framework to Process All Nearest Neighbor Queries on a Road Network | The proliferation of current and next-generation mobile and sensing devices has increased at an alarming rate. With these state-of-the-art devices, the global positioning system (GPS) has made remote sensing and location tracking more viable. One such query is the All Nearest Neighbor (ANN) query, which extracts and returns all data objects that are in close vicinity to all query objects. An ANN is a combination of k-nearest neighbors (kNN), and join queries. Hence, ANN has useful for applications in different domains such as transportation optimization, locating safe zones, and ride-sharing. An example of its applications is, "find the nearest gas station for each car parking lot". Because these applications are responsible for generating a massive number of query requests, a large amount of computation is required to return these query requests. As a single machine cannot meet this demand in this study, we propose a distributed query processing framework to process ANN queries using the Apache Spark framework. In an empirical study, our proposed framework achieved superior query efficiency and scalability compared to other methods and design alternatives. | Bhandari, Aavash; Hamandawana, Prince; Attique, Muhammad; Cho, Hyung-Ju; Chung, Tae-Sun | Ajou Univ, Dept Artificial Intelligence, Suwon 16499, South Korea; Sejong Univ, Dept Software, Seoul 05006, South Korea; Kyungpook Natl Univ, Dept Software, Sangju 37224, South Korea | ; Hamandawana, Prince/AGB-5307-2022 | 57224088168; 57204809791; 55755354900; 55177091600; 21033702700 | tschung@ajou.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 11 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2023 | 3.4 | 34.4 | 0 | 2025-06-25 | 0 | 0 | All nearest neighbor queries; distributed and parallel processing; spatial query processing | ALGORITHM; SEARCH | All nearest neighbor queries; distributed and parallel processing; spatial query processing | Cluster computing; Clustering algorithms; Motion compensation; Nearest neighbor search; Object recognition; Query languages; Query processing; Remote sensing; All near neighbor query; All nearest neighbors; Distributed and parallel processing; Nearest-neighbor query; Objects recognition; Parallel framework; Partitioning algorithms; Road; Spatial database; Spatial query processing; Global positioning system | English | 2023 | 2023 | 10.1109/access.2023.3308684 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Polyether-based waterborne synergists: effect of polymer topologies on pigment dispersion | Control of polymer topologies is essential to determine their unique physical properties and potential applications. The polymer topologies can have a critical effect on pigment dispersion owing to their unique architectures; however, studies using polymer topologies on pigment dispersion in aqueous systems are scarce. Thus, this study proposes various topologies of polyether-based waterborne synergists, such as linear, hyperbranched, and branched cyclic structures. Specifically, we applied branched types of polyglycidols (PGs) as a synergist to provide polymer topology-dependent dispersibility for the surface-modification of Red 170 particles through adsorption and steric hindrance. The topology-controlled PG synergists (PGSs) were successfully prepared by post-polymerization modification with phthalimide and benzoyl groups. Particularly, the branched types of PGSs, branched cyclic PGS (bc-PGS), and hyperbranched PGS (hb-PGS) exhibited improved dispersibility through adsorption on top of the pigment, interaction between dispersant (BYK 190) and pigment, and steric effect. Surprisingly, hb-PGS conferred the Red 170 pigment particles with superior storage stability than that of bc-PGS despite their similar structural features. This study suggests the widespread potential application of PGSs as waterborne synergists for various dispersion applications. In this study, we studied the effect of polymer topologies on pigment dispersion. This study suggests the widespread potential application of the topology-controlled polyglycidol based water-borne synergists for various dispersion applications. | Kang, Hansol; Kim, Si Eun; Park, Young Il; Kim, Jin Chul; Jeong, Ji-Eun; Jung, Hyocheol; Lee, Hyosun; Hwang, Sung Yeon; Cheong, In Woo; Lee, Sang-Ho; Seo, Eunyong | Korea Res Inst Chem Technol, Ctr Adv Specialty Chem, Ulsan 44412, South Korea; Kyungpook Natl Univ KNU, Dept Appl Chem, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Chem, 80 Daehakro, Daegu 41566, South Korea; Kyungpook Natl Univ, Green Nano Mat Res Ctr, 80 Daehakro, Daegu 41566, South Korea; Kyung Hee Univ, Dept Plant & Environm New Resource, Gyeonggi Do 17104, South Korea; Kyung Hee Univ, Grad Sch Biotechnol, Gyeonggi Do 17104, South Korea; Univ Sci & Technol UST, Adv Mat & Chem Engn, Daejeon 34113, South Korea; Ulsan Coll, Dept Chem Engn, Ulsan 44610, South Korea | Lee, Sang-Ho/T-3699-2019; Seo, Eunyong/J-1264-2014; Hwang, Sung Yeon/K-3173-2017 | 58672913000; 57219449997; 55494480300; 56805502600; 56330436800; 57015914900; 15750846000; 14022878900; 7006733373; 58743026900; 53364538200 | crew75@khu.ac.kr;inwoo@knu.ac.kr;slee@krict.re.kr;eyseo@uc.ac.kr; | RSC ADVANCES | RSC ADV | 2046-2069 | 13 | 44 | SCIE | CHEMISTRY, MULTIDISCIPLINARY | 2023 | 3.9 | 34.4 | 0.21 | 2025-06-25 | 2 | 2 | NANOPARTICLE DISPERSIONS; CONTRAST RATIO; COLOR FILTER; DERIVATIVES; STABILITY | Dendrimers; Dispersions; Ethers; Aqueous system; Critical effects; Cyclic structures; Dispersibilities; Hyperbranched; Physical potentials; Pigment dispersions; Polyglycidol; Steric hindrances; Surface-modification; Topology | English | 2023 | 2023-10-18 | 10.1039/d3ra06427a | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Potential of Bifidobacterium lactis IDCC 4301 isolated from breast milk-fed infant feces as a probiotic and functional ingredient | Probiotics provide important health benefits to the host by improving intestinal microbial balance and have been widely consumed as dietary supplements. In this study, we investigated whether Bifidobacterium lactis IDCC 4301 (BL), isolated from feces of breast milk-fed infants, is safe to consume. Based on the guidelines established by the European Food Safety Authority (EFSA), safety tests such as antibiotic susceptibility, hemolysis, toxic compound formation (i.e., biogenic amine and d-lactate), single-dose acute oral toxicity, and extracellular enzymatic activities were performed. In addition, toxigenic genes, antibiotic resistance genes, and mobile genetic elements were investigated by analyzing the genome sequence of BL. BL was susceptible to eight antibiotics except for vancomycin and the absence of transferable resistance in the genome of this strain implied that vancomycin resistance is likely to be intrinsic. With regard to phenotypic characteristics, there was no concern of toxicity of this strain. Furthermore, BL utilized various carbohydrates and their conjugates through the activity of various endogenous carbohydrate-utilizing enzymes. Interestingly, the supernatant of the BL showed strong antipathogenic activity against various infectious pathogens. Therefore, we suggest that BL should be a safe probiotic and can be used as a functional ingredient in the food, cosmetic, and pharmaceutical industries. | Ban, O-Hyun; Bang, Won Yeong; Jeon, Hyeon Ji; Jung, Young Hoon; Yang, Jungwoo; Kim, Dong Hyun | Ildong Biosci, Pyeongtaek Si, Gyeonggi Do, South Korea; Kyungpook Natl Univ, Sch Food Sci & Biotechnol, Daegu, South Korea; Kyungpook Natl Univ, Sch Food Sci & Biotechnol, Daegu 41566, South Korea; Ildong Biosci, Pyeongtaek Si 17957, Gyeonggi Do, South Korea | Jeon, Hyeon Ji/HPH-4892-2023; Kim, Dong Hyun/LDT-2672-2024; Jung, Young/F-1703-2013 | 57219226382; 57208701768; 57795638700; 55550063700; 56076383700; 55574224522 | yjw@ildong.com;dhkim85@knu.ac.kr; | FOOD SCIENCE & NUTRITION | FOOD SCI NUTR | 2048-7177 | 11 | 4 | SCIE | FOOD SCIENCE & TECHNOLOGY | 2023 | 3.5 | 34.4 | 1 | 2025-06-25 | 7 | 7 | antimicrobial; Bifidobacterium lactis; probiotics; safety assessment; whole-genome sequence | ANTIBIOTIC-RESISTANCE; LACTOBACILLUS-REUTERI; IN-VITRO; SAFETY; GENES; TET(W); AGENTS; ACID | antimicrobial; Bifidobacterium lactis; probiotics; safety assessment; whole-genome sequence | English | 2023 | 2023-04 | 10.1002/fsn3.3230 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Private Blockchain Envisioned Access Control System for Securing Industrial IoT-Based Pervasive Edge Computing | The Industrial Internet of Things (IIoT) is able to connect machines, analytics and people with IoT smart devices, gateway nodes and edge devices to create powerful intuitivenesses to drive smarter, faster and effective business agreements. IIoT having interconnected machines along with devices can monitor, gather, exchange, and analyze information. Since the communication among the entities in IIoT environment takes place insecurely (for instance, wireless communications and Internet), an intruder can easily tamper with the data. Moreover, physical theft of IoT smart devices provides an intruder to mount impersonation and other attacks. To handle such critical issues, in this work, we design a new private blockchain-envisioned access control scheme for Pervasive Edge Computing (PEC) in IIoT environment, called PBACS-PECIIoT. We consider the private blockchain consisting of the transactions and registration credentials of the entities related to IIoT, because the information is strictly confidential and private. The security of PBACS-PECIIoT is significantly improved due to usage of blockchain as immutability, transparency and decentralization along with protection of various potential attacks. A meticulous comparative analysis exhibits that PBACS-PECIIoT achieves greater security and more functionality features, and requires low costs for communication and computational as compared to other pertinent schemes. | Saha, Sourav; Bera, Basudeb; Das, Ashok Kumar; Kumar, Neeraj; Islam, Sk Hafizul; Park, Youngho | Int Inst Informat Technol, Ctr Secur Theory & Algorithm Res, Hyderabad 500032, India; Thapar Univ, Dept Comp Sci & Engn, Patiala 147004, India; Indian Inst Informat Technol Kalyani, Dept Comp Sci & Engn, Kalyani 741235, West Bengal, India; Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea | ; Kumar, Neeraj/ABA-5200-2021; Saha, Sourav/LSL-9012-2024; Das, Ashok/K-7202-2017; Bera, Basudeb/ACC-6233-2022 | 57207760870; 57214777647; 55450732800; 57199419120; 43561144600; 56962990300 | iitkgp.akdas@gmail.com;parkyh@knu.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 11 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2023 | 3.4 | 34.4 | 0.52 | 2025-06-25 | 1 | 4 | Industrial Internet of Things (IoT); edge computing; blockchain; access control; key agreement; security | USER AUTHENTICATION PROTOCOL; KEY EXCHANGE; PROVABLY SECURE; CONTROL SCHEME; INTERNET; THINGS; DESIGN | access control; blockchain; edge computing; Industrial Internet of Things (IoT); key agreement; security | Blockchain; Digital storage; Edge computing; Gateways (computer networks); Internet of things; Network security; Block-chain; Edge computing; Industrial internet of thing; Key agreement; Privacy; Security; Access control | English | 2023 | 2023 | 10.1109/access.2023.3333441 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Processing on crystal growth, structure, thermal property, and nuclear magnetic resonance of organic-inorganic hybrid perovskite type [NH3(CH2)6NH3]ZnCl4 crystal | Organic-inorganic hybrid compounds have recently gained significant attention in recent years due to their diverse applications. Herein, [NH3(CH2)(6)NH3]ZnCl4 crystals were grown, and their triclinic structure, phase transition temperature (T-C = 408 K), and high thermal stability (T-d = 584 K) was determined using X-ray diffraction (XRD), differential scanning calorimetry, and thermogravimetry measurements. By analyzing the chemical in response to temperature changes, we observed that the coordination geometry around H-1 and C-13 were highly symmetric below T-C, whereas their symmetry was lowered above T-C. The change of N-H & ctdot;Cl hydrogen bond from XRD results and the change of N-14 NMR chemical shifts was due to the changes to the coordination geometry of Cl- around Zn2+ in the ZnCl4 anion. The activation energy of H-1 was three times greater than that of C-13, and this result indicates that the energy transfer of C-13 was easier than those of H-1. We compared the results for [NH3(CH2)(n)NH3]ZnCl4 (n = 6) studied here with those for n = 2, 3, 4, and 5 obtained from previous studies. The characteristics of the length of CH2 in the methylene chain are expected to be used for potential applications in the near future. | Lim, Ae Ran; Kim, Sun Ha | Jeonju Univ, Grad Sch Carbon Convergence Engn, Jeonju 55069, South Korea; Jeonju Univ, Dept Sci Educ, Jeonju 55069, South Korea; Korea Basic Sci Inst, Seoul Western Ctr, Seoul 03759, South Africa; Kyungpook Natl Univ, Dept Chem, Daegu 41566, South Korea | 7202659025; 54386953600 | aeranlim@hanmail.net; | RSC ADVANCES | RSC ADV | 2046-2069 | 13 | 44 | SCIE | CHEMISTRY, MULTIDISCIPLINARY | 2023 | 3.9 | 34.4 | 0.21 | 2025-06-25 | 2 | 2 | Activation energy; Ammonia; Crystal growth; Crystal structure; Differential scanning calorimetry; Energy transfer; Geometry; Hydrogen bonds; Nuclear magnetic resonance; Perovskite; Single crystals; Thermogravimetric analysis; X ray diffraction; Coordination geometry; Diverse applications; Growth structures; Organic-inorganic hybrid compounds; Organic/Inorganic hybrids; Perovskite type; Phase transition temperatures; Structure phase transitions; Triclinic structures; X- ray diffractions; Chlorine compounds | English | 2023 | 2023-10-18 | 10.1039/d3ra05752f | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||||
| ○ | ○ | Review | Production, surface modification, physicochemical properties, biocompatibility, and bioimaging applications of nanodiamonds | Nanodiamonds (ND) are chemically inert and stable owing to their sp3 covalent bonding structure, but their surface sp2 graphitic carbons can be easily homogenized with diverse functional groups via oxidation, reduction, hydrogenation, amination, and halogenation. Further surface conjugation of NDs with hydrophilic ligands can boost their colloidal stability and functionality. In addition, NDs are non-toxic as they are made of carbons. They exhibit stable fluorescence without photobleaching. They also possess paramagnetic and ferromagnetic properties, making them suitable for use as a new type of fluorescence imaging (FI) and magnetic resonance imaging (MRI) probe. In this review, we focused on recently developed ND production methods, surface homogenization and functionalization methods, biocompatibilities, and biomedical imaging applications as FI and MRI probes. Finally, we discussed future perspectives. Nanodiamonds (ND) are chemically inert and stable owing to their sp3 covalent bonding structure, but their surface sp2 graphitic carbons can be easily homogenized with diverse functional groups via oxidation, reduction, hydrogenation, amination, and halogenation. | Tegafaw, Tirusew; Liu, Shuwen; Ahmad, Mohammad Yaseen; Al Saidi, Abdullah Khamis Ali; Zhao, Dejun; Liu, Ying; Yue, Huan; Nam, Sung-Wook; Chang, Yongmin; Lee, Gang Ho | Kyungpook Natl Univ, Coll Nat Sci, Dept Chem, Taegu 41566, South Korea; Kyungpook Natl Univ, Sch Med, Dept Mol Med, Daegu 41405, South Korea | ; Nam, Sung-Wook/V-5519-2019; Liu, Shuwen/JAC-5203-2023; Ahmad, Mohammad/AAH-2164-2020 | 55983618600; 57208926248; 57203054570; 57217492867; 57222567792; 57221731093; 57200329016; 16167127700; 7501840633; 7404851841 | ychang@knu.ac.kr;ghlee@mail.knu.ac.kr; | RSC ADVANCES | RSC ADV | 2046-2069 | 13 | 46 | SCIE | CHEMISTRY, MULTIDISCIPLINARY | 2023 | 3.9 | 34.4 | 0.35 | 2025-06-25 | 7 | 9 | POROUS SILICA COATINGS; PULSED-LASER ABLATION; CORE-SHELL DESIGNS; FLUORESCENT NANODIAMONDS; DIAMOND NANOPARTICLES; DRUG-DELIVERY; DETONATION NANODIAMOND; MAGNETIC-RESONANCE; IN-VIVO; PHOTOLUMINESCENT NANODIAMONDS | Amines; Fluorescence imaging; Homogenization method; Magnetic resonance imaging; Medical applications; Medical imaging; Nanodiamonds; Photobleaching; Physicochemical properties; Probes; Bio-imaging; Bonding structure; Covalent bonding; Fluorescence imaging; Graphitic carbons; Imaging probe; Oxidation reduction; Physicochemical property; Surface conjugation; Surface-modification; Biocompatibility | English | 2023 | 2023-10-31 | 10.1039/d3ra06837d | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Quantum Program Synthesis Through Operator Learning and Selection | Programming for quantum computers is complicated and time-consuming, because quantum operations are counterintuitive and their combined effects are difficult to understand. Existing tools allow automatic synthesis of quantum programs, which releases the burden of handwriting. However, many existing systems arrange predetermined operators in successive manner to gradually reduce the gap with requirements; these methods are quick but often produce lengthy programs, and they are difficult to adopt for new operators. Other systems depend on stochastic or heuristic search; they identify near-optimal programs for certain cases, but it is not easy to tune the algorithms for a wide range of cases. We propose a system that produces compact programs for most cases and easily evolves with new operators. The system automatically learns the roles of available operators by composing various possible programs. Based on the knowledge, it selects a subset of operators most appropriate for requirements and uses them to compose a program. The learning is geared toward concise programs; thus, the system tends to produce programs with the fewest operators possible. We implemented the system and evaluated it by synthesizing over 400 programs. In comparison with a state-of-the-art system, the proposed system produced programs with approximately 40-times fewer operators at the cost of increased synthesis time from seconds to minutes. We also observed that the system successfully adopted new operators by learning their differences from existing operators and utilizing them in right places. We believe that the system provides a basis of utilizing machine learning for quantum program synthesis. | Lee, Sihyung; Nam, Seung Yeob | Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea; Yeungnam Univ, Dept Informat & Commun Engn, Gyongsan 38541, South Korea | ; Nam, Seung/Q-7486-2019 | 15623380100; 7402276352 | sihyunglee@knu.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 11 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2023 | 3.4 | 34.4 | 0.26 | 2025-06-25 | 2 | 2 | Machine learning; neural networks; program synthesis; quantum computing; quantum program; supervised learning | Machine learning; neural networks; program synthesis; quantum computing; quantum program; supervised learning | Learning systems; Neural networks; Phase measurement; Quantum computers; Stochastic systems; Heuristics algorithm; Machine-learning; Neural-networks; Operator learning; Operator selections; Program synthesis; Programming; Quantum Computing; Quantum program; Heuristic algorithms | English | 2023 | 2023 | 10.1109/access.2023.3257192 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Robotic Assistance in Radiology: A Covid-19 Scenario | During the COVID-19 Pandemic, the need for rapid and reliable alternative COVID-19 screening methods have motivated the development of learning networks to screen COVID-19 patients based on chest radiography obtained from Chest X-ray (CXR) and Computed Tomography (CT) imaging. Although the effectiveness of developed models have been documented, their adoption in assisting radiologists suffers mainly due to the failure to implement or present any applicable framework. Therefore in this paper, a robotic framework is proposed to aid radiologists in COVID-19 patient screening. Specifically, Transfer learning is employed to first develop two well-known learning networks (GoogleNet and SqueezeNet) to classify positive and negative COVID-19 patients based on chest radiography obtained from Chest X-Ray (CXR) and CT imaging collected from three publicly available repositories. A test accuracy of 90.90%, sensitivity and specificity of 94.70% and 87.20% were obtained respectively for SqueezeNet and a test accuracy of 96.40%, sensitivity and specificity of 95.50% and 97.40% were obtained respectively for GoogleNet. Consequently, to demonstrate the clinical usability of the model, it is deployed on the Softbank NAO-V6 humanoid robot which is a social robot to serve as an assistive platform for radiologists. The strategy is an end-to-end explainable sorting of X-ray images, particularly for COVID-19 patients. Laboratory-based implementation of the overall framework demonstrates the effectiveness of the proposed platform in aiding radiologists in COVID-19 screening. | Ajani, Oladayo S.; Obasekore, Hammed; Kang, Bo-Yeong; Rammohan, Mallipeddi | Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, Daegu 41566, South Korea | Kang, Bo-Yeong/IXW-6764-2023; Mallipeddi, Rammohan/AAL-5306-2020; AJANI, Oladayo/HIR-9607-2022; Obasekore, Hammed/HTL-7429-2023 | 57465126000; 57211521199; 26643468300; 25639919900 | mallipeddi.ram@gmail.com; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 11 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2023 | 3.4 | 34.4 | 0.26 | 2025-06-25 | 2 | 3 | COVID-19; Computed tomography; X-ray imaging; Robots; Transfer learning; Feature extraction; Computational modeling; Robotic assistance; radiology; deep learning; class activation map; transfer learning | class activation map; COVID-19; deep learning; radiology; Robotic assistance; transfer learning | Anthropomorphic robots; Computerized tomography; Deep learning; Diagnosis; Medical imaging; Radiology; X ray analysis; X ray radiography; Activation maps; Class activation map; Computational modelling; Computed tomography; Deep learning; Features extraction; Robotic assistance; Transfer learning; X-ray imaging; COVID-19 | English | 2023 | 2023 | 10.1109/access.2023.3277526 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Runtime Tracking-Based Replication of On-Chip Embedded Software Using Transfer Function Learning for Dust Particle Sensing Systems | A digital twin is a widely used method that uses digitized simulations of the real-world characteristics because it is effective in predicting results at a low cost. In digital twin analysis, the transfer function between the input and output data is an important research subject. In this study, we intend to investigate the application of the digital twin method to dust particle sensing. A high-performance multi-channel reference dust particle sensor provides particle count as well as particulate matter information, whereas a lightweight embedded test device only provides a particle count. The particulate matter acquisition algorithm for a reference device is unknown and complex. Instead of that, we propose a simple method to calculate the transfer function using singular-value decomposition. In the experimental results, using singular-value decomposition, the predicted particulate matter of the test device was similar to that of the reference device. The obtained transfer function shows similar measurement results of the two dust particle sensor devices, confirming that particulate matter environmental information can be digitized even with low-power and lightweight sensor-embedded devices. In addition, the power consumption of the test device was approximately ten times lower than that of the reference device. | Lee, Seungmin; Kwon, Jisu; Park, Daejin | Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea | 57200005388; 57215531728; 55463943600 | boltanut@knu.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 11 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2023 | 3.4 | 34.4 | 0.38 | 2025-06-25 | 3 | 3 | Digital twins; Transfer functions; Sensors; Atmospheric measurements; Prediction algorithms; Particle measurements; Pollution measurement; Digital twin; particle sensing; particulate matter; singular-value decomposition | PM2.5 | Digital twin; particle sensing; particulate matter; singular-value decomposition | Dust; Embedded systems; Transfer functions; Chip embedded; Dust particle; On chips; Particle sensing; Particle sensors; Particle-counts; Particulate Matter; Reference devices; Runtimes; Test device; Singular value decomposition | English | 2023 | 2023 | 10.1109/access.2023.3263057 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Scale-Aware Visual-Inertial Depth Estimation and Odometry Using Monocular Self-Supervised Learning | For real-world applications with a single monocular camera, scale ambiguity is an important issue. Because self-supervised data-driven approaches that do not require additional data containing scale information cannot avoid the scale ambiguity, state-of-the-art deep-learning-based methods address this issue by learning the scale information from additional sensor measurements. In that regard, inertial measurement unit (IMU) is a popular sensor for various mobile platforms due to its lightweight and inexpensiveness. However, unlike supervised learning that can learn the scale from the ground-truth information, learning the scale from IMU is challenging in a self-supervised setting. We propose a scale-aware monocular visual-inertial depth estimation and odometry method with end-to-end training. To learn the scale from the IMU measurements with end-to-end training in the monocular self-supervised setup, we propose a new loss function named as preintegration loss function, which trains scale-aware ego-motion by comparing the ego-motion integrated from IMU measurement and predicted ego-motion. Since the gravity and the bias should be compensated to obtain the ego-motion by integrating IMU measurements, we design a network to predict the gravity and the bias in addition to the ego-motion and the depth map. The overall performance of the proposed method is compared to state-of-the-art methods in the popular outdoor driving dataset, i.e., KITTI dataset, and the author-collected indoor driving dataset. In the KITTI dataset, the proposed method shows competitive performance compared with state-of-the-art monocular depth estimation and odometry methods, i.e., root-mean-square error of 5.435 m in the KITTI Eigen split and absolute trajectory error of 22.46 m and 0.2975 degrees in the KITTI odometry 09 sequence. Different from other up-to-scale monocular methods, the proposed method can estimate the metric-scaled depth and camera poses. Additional experiments on the author-collected indoor driving dataset qualitatively confirm the accurate performance of metric-depth and metric pose estimations. | Lee, Chungkeun; Kim, Changhyeon; Kim, Pyojin; Lee, Hyeonbeom; Kim, H. Jin | Seoul Natl Univ, Inst Adv Aerosp Technol, Seoul 08826, South Korea; Seoul Natl Univ, Automation & Syst Res Inst, Seoul 08826, South Korea; Sookmyung Womens Univ, Dept Mech Syst Engn, Seoul 04312, South Korea; Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 37224, South Korea; Seoul Natl Univ, Dept Mech & Aerosp Engn, Seoul 08826, South Korea | ; Kim, Pyojin/AAC-7563-2020; Lee, Chungkeun/HTR-7096-2023 | 57193444094; 57195333390; 59563842600; 55556473400; 7410127528 | hjinkim@snu.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 11 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2023 | 3.4 | 34.4 | 0.78 | 2025-06-25 | 4 | 6 | Odometry; Deep learning; Loss measurement; Depth measurement; Cameras; Self-supervised learning; Coordinate measuring machines; monocular depth estimation; self-supervised learning; visual-inertial odometry | Deep learning; monocular depth estimation; self-supervised learning; visual-inertial odometry | Computer vision; Deep learning; Mean square error; Supervised learning; Deep learning; Depth Estimation; Depth measurements; Loss measurement; Monocular depth estimation; Odometry; Self-supervised learning; Visual-inertial odometry; Cameras | English | 2023 | 2023 | 10.1109/access.2023.3252884 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Review | Self-healing polymers for surface scratch regeneration | Recently, there has been a significant increase in academic and industrial interest in self-healing polymers (SHPs) due to their remarkable ability to regenerate scratched surfaces and materials of astronomical significance. Scientists have been inspired by the magical repairing mechanism of the living world. They transformed the fiction of self-healing into reality by designing engrossing polymeric materials that could self-repair mechanical abrasions repeatedly. As a result, the durability of the materials is remarkably improved. Thus, the idea of studying SHPs passively upholds economic and environmental sustainability. However, the critical areas of self-healing (including healing efficiency, healing mechanism, and thermo-mechanical property changes during healing) are under continuous scientific improvisation. This review highlights recent notable advances of SHPs for application in regenerating scratched surfaces with various distinctive underlying mechanisms. The primary focus of the work is aimed at discussing the impact of SHPs on scratch-healing technology. Beyond that, insights regarding scratch testing, methods of investigating polymer surfaces, wound depths, the addition of healing fillers, and the environmental conditions maintained during the healing process are reviewed thoroughly. Finally, broader future perspectives on the challenges and prospects of SHPs in healing surface scratches are discussed. Self-healing polymers (SHPs) garner significant interest for their nature-inspired ability to regenerate surfaces, enhancing material durability and sustainability. This review highlights recent advances in SHPs, emphasizing scratch-regenerating technology, testing methods, and prospects. | Ahmed, Sana; Jeong, Ji-Eun; Kim, Jin Chul; Lone, Saifullah; Cheong, In Woo | Kyungpook Natl Univ, Dept Appl Chem, Daegu 41566, South Korea; Korea Res Inst Chem Technol, Res Ctr Green Fine Chem, Ulsan 44412, South Korea; NIT, Dept Chem, iDREAM Interdisciplinary Div Renewable Energy & Ad, Srinagar 190006, India | Ahmed, Sana/JXL-4930-2024; Lone, Saifullah/AAT-7811-2020 | 57444624300; 56330436800; 56805502600; 35206357900; 7006733373 | jckim81@krict.re.kr;saifullah.lone@nitsri.net;inwoo@knu.ac.kr; | RSC ADVANCES | RSC ADV | 2046-2069 | 13 | 50 | SCIE | CHEMISTRY, MULTIDISCIPLINARY | 2023 | 3.9 | 34.4 | 0.27 | 2025-06-25 | 7 | 8 | PROPERTY; BEHAVIOR; NETWORK; ABILITY; DESIGN; ROBUST | Polymeric materials; Self-healing materials; Economic sustainability; Environmental sustainability; Mechanical abrasion; Property changes; Repairing mechanisms; Self repair; Self-healing; Self-healing polymers; Surface scratches; Thermomechanical properties; Sustainable development | English | 2023 | 2023-11-30 | 10.1039/d3ra06676b | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Spatiotemporal Sequence-to-Sequence Clustering for Electric Load Forecasting | Massive electrical load exhibits many patterns making it difficult for forecast algorithms to generalise well. Most learning algorithms produce a better forecast for dominant patterns in the case of weekday consumption and otherwise for less dominant patterns in weekend and holiday consumption. In view of this, there is the need to cluster the load patterns, so learning algorithms can focus on the patterns independently to produce forecasts with better accuracy for all cases. However, clustering time-series data breaks the time-series dependency, making model training difficult. This paper presents a novel sequence-to-sequence cluster framework to reform time-series dependency after clustering; this enables independent clusters to be modelled using Convolutional Neural Network-Gated Recurrent Unit, which learns spatiotemporal features for future forecasts. A real-world dataset by the Korea Power Exchange composed of nationwide consumption is used for case studies and experiments. Experimental results verify that the proposed study effectively improves the accuracy of electric load forecasting by about 50%, with a WAPE of 0.67%. The proposed method also speeds up the training process of the forecast algorithm by about 35%, given that only a subset of the dataset is trained due to clustering. Korea Water Resources Corporation has implemented the proposed method for load forecasting and system marginal price estimation. | Acquah, Moses Amoasi; Jin, Yuwei; Oh, Byeong-Chan; Son, Yeong-Geon; Kim, Sung-Yul | Keimyung Univ, Dept Elect Energy Engn, Daegu 42601, South Korea; Kyungpook Natl Univ, Dept Elect & Elect Engn, Daegu 41566, South Korea | Jin, Yuwei/LIR-2747-2024; Oh, Byeong Chan/KRP-3354-2024 | 57105816500; 57212253293; 57216176796; 57238260800; 34870028200 | pslab2040@gmail.com; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 11 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2023 | 3.4 | 34.4 | 1.94 | 2025-06-25 | 11 | 16 | Load forecasting; Load modeling; Predictive models; Feature extraction; Clustering algorithms; Forecasting; Convolutional neural networks; Convolutional neural network-gated recurrent unit (CNN-GRU); feature engineering; k-means clustering; LightGBM classifier; sequence-to-sequence forecast; short-term load forecast (STLF) | NEURAL-NETWORK; MODEL | Convolutional neural network-gated recurrent unit (CNN-GRU); feature engineering; k-means clustering; LightGBM classifier; sequence-to-sequence forecast; short-term load forecast (STLF) | Clustering algorithms; Convolution; Electric power plant loads; Learning algorithms; Recurrent neural networks; Time series; Water resources; Convolutional neural network; Convolutional neural network-gated recurrent unit; Feature engineerings; Features extraction; K-means++ clustering; Lightgbm classifier; Load forecasting; Load modeling; Predictive models; Sequence learning; Sequence-to-sequence learning; Short-term load forecast; Short-term load forecasts; Electric load forecasting | English | 2023 | 2023 | 10.1109/access.2023.3235724 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
페이지 이동: