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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 | Distance-Regular Graphs with Valency k , Diameter D > 3 and at Most Dk | . Let Gamma be a distance-regular graph with valency k and diameter D > 3. It has been shown that for a fixed real number alpha > 2, if Gamma has at most alpha k vertices, then there are only finitely many such graphs, except for the cases where (D = 3 and Gamma is imprimitive) and (D = 4 and Gamma is antipodal and bipartite). And there is a classification for alpha 3. Let beta > 3 be an integer, and let Gamma be a distance-regular graph with valency k, diameter D > 3 and at most beta k + 1 vertices. Note that if D > beta + 1, then Gamma must have at least beta k + 2 vertices. Thus, the assumption that Gamma has at most beta k + 1 vertices implies that D < beta. We focus on the case where D = beta and provide a classification of distance-regular graphs having at most Dk + 1 vertices. | Park, Jongyook | Kyungpook Natl Univ, Dept Math, Daegu 41566, South Korea | 36091826300 | jongyook@knu.ac.kr; | KYUNGPOOK MATHEMATICAL JOURNAL | KYUNGPOOK MATH J | 1225-6951 | 0454-8124 | 64 | 3 | ESCI | MATHEMATICS | 2024 | 0.2 | 95.5 | 0 | 2025-05-07 | 0 | 0 | distance-regular graphs; diameter; bipartite; antipodal. | NUMBER | antipodal; bipartite; diameter; distance-regular graphs | English | 2024 | 2024-09 | 10.5666/kmj.2024.64.3.499 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Distribution of Runs and Patterns in Four State Trials | From the mathematical and statistical point of view, a segment of a DNA strand can be viewed as a sequence of four-state (A, C, G, T) trials. Herein, we consider the distributions of runs and patterns related to the run lengths of multi-state sequences, especially for four states (A, B, C, D). Let X-1, X-2, ... be a sequence of four state independent and identically distributed trials taking values in the set S = {A, B, C, D}. In this study, we obtain exact formulas for the probability distribution function for the discrete distribution of runs of B's of order k. We obtain longest run statistics, shortest run statistics, and determine the distributions of waiting times and run lengths. | Oh, Jungtaek | Kyungpook Natl Univ, Sch Med, Dept Biomed Sci, Daegue 41566, South Korea; Kyungpook Natl Univ, Clin Om Ctr, Sch Med, Daegue 41566, South Korea; Changwon Natl Univ, Inst Ind Technol, Chang Won 51140, South Korea | Oh, Jungtaek/GWP-5136-2022 | 57788549600 | jungtaekoh0191@gmail.com; | KYUNGPOOK MATHEMATICAL JOURNAL | KYUNGPOOK MATH J | 1225-6951 | 0454-8124 | 64 | 2 | ESCI | MATHEMATICS | 2024 | 0.2 | 95.5 | 0 | 2025-05-07 | 0 | 0 | runs and patterns; multi-state trials; discrete distribution of order k; waiting time distribution; distribution of run length; longest run; shortest run; DNA sequence | WAITING TIME PROBLEMS; OUT-OF-N; SEQUENCE; SOONER; RELIABILITY; SUCCESS | discrete distribution of order k; distribution of run length; DNA sequence; longest run; multi-state trials; runs and patterns; shortest run; waiting time distribution | English | 2024 | 2024-06 | 10.5666/kmj.2024.64.2.287 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | Article | FINDING EXPLICIT SOLUTIONS FOR LINEAR REGRESSION WITHOUT CORRESPONDENCES BASED ON REARRANGEMENT INEQUALITY | A least squares problem without correspondences is expressed as the following optimization: min ∥Ax − Πy∥, Π∈Pm, x∈ℝn where A ∈ ℝm×n and y ∈ ℝm are given. In general, solving such an optimization problem is highly challenging. In this paper we use the rearrangement inequalities to find the closed form of solutions for certain cases. Moreover, despite the stringent constraints, we successfully tackle the nonlinear least squares problem without correspondences by leveraging rearrangement inequalities. © 2024 KSCAM. | Kim, Mijin; Lee, Hyungu; Choi, Hayoung | Department of Mathematics, Kyungpook National University, Daegu, 41566, South Korea; Department of Mathematics, Kyungpook National University, Daegu, 41566, South Korea; Department of Mathematics, Kyungpook National University, Daegu, 41566, South Korea | 58871124000; 58870303900; 56942685000 | hayoung.choi@knu.ac.kr; | Journal of Applied Mathematics and Informatics | J APPL MATH INFORM | 2734-1194 | 2234-8417 | 42 | 1 | ESCI | MATHEMATICS, APPLIED | 2024 | 0.3 | 95.5 | 0 | 2025-04-16 | 0 | least squares; optimizatoin; Permuted linear model; rearrangement inequality; shuffled regression | English | Final | 2024 | 10.14317/jami.2024.149 | 바로가기 | 바로가기 | 바로가기 | ||||||||
| ○ | Article | IMPROVING NOROVIRUS OUTBREAK PREDICTION THROUGH FEATURE SELECTION USING MACHINE LEARNING METHODS | Norovirus disease in the Republic of Korea consistently displays a seasonal pattern, especially prominent during the winter months. Although the timing of outbreak periods can change due to climate change, these outbreaks continue to occur regularly. It is crucial to analyze these seasonal patterns to predict the occurrence of the outbreak. Notably, no quantitative criteria have been established to determine the onset of norovirus outbreaks. In this study, we aim to establish criteria for predicting the occurrence of norovirus outbreaks using various machine learning classification methods, including Support Vector Machines (SVM), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and a Long Short-Term Memory (LSTM). By utilizing meteorological data, past incidence data, and other variables, we predict norovirus outbreak periods based on the criteria suggested in the present study. The training period spans from 2016 to 2022, while the 2023 data is used for testing. We compare the prediction accuracy of outbreak periods based on the selected variables. Our results indicate that among the machine learning methods tested, SVM and RF achieved the highest F1-scores in classifying outbreak periods. Additionally, the models accurately predicted the first thirteen weeks of 2023 as an outbreak period. By accurately predicting the occurrence of norovirus outbreaks, our approach enables the early detection of an increase in the number of norovirus cases, allowing for proactive measures and prevention strategies to mitigate the impact of these outbreaks. | Cho, Giphil; Seo, Jeonghwa; Lee, Hyojung | Kangwon Nat Univ, Dept Artificial Intelligence & Software, Kangwon, South Korea; Kyungpook Natl Univ, Dept Stat, Kyungpook, South Korea | giphil@kangwon.ac.kr;jeonghwa_seo@knu.ac.kr;hjlee@knu.ac.kr; | JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS | J KOREAN SOC IND APP | 1226-9433 | 1229-0645 | 28 | 4 | ESCI | MATHEMATICS, APPLIED | 2024 | 0.3 | 95.5 | 1 | Accepted Norovirus; Outbreak; Machine learning; Feature selection | English | 2024 | 2024 | 10.12941/jksiam.2024.28.210 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | ○ | Article | MODIFIED GEOMETRIC DISTRIBUTION OF ORDER k AND ITS APPLICATIONS | . We study the distributions of waiting times in variations of the geometric distribution of order k. Variation imposes length on the runs of successes and failures. We study two types of waiting time random variables. First, we consider the waiting time for a run of k consecutive successes the first time no sequence of consecutive k failures occurs prior, denoted by T(k). Next, we consider the waiting time for a run of k consecutive failures the first time no sequence of k consecutive successes occurred prior, denoted by J(k). In addition, we study the distribution of the weighted average. The exact formulae of the probability mass function, mean, and variance of distributions are also obtained. | Oh, Jungtaek; Lee, Kyeong Eun | Kyungpook Natl Univ, Clin Omics Ctr, Sch Med, Dept Biomed Sci, Daegue 41566, South Korea; Changwon Natl Univ, Inst Ind Technol, Chang Won, South Korea; Kyungpook Natl Univ, Dept Stat, Daegue 41566, South Korea | Oh, Jungtaek/GWP-5136-2022 | 57788549600; 56041259000 | jungtaekoh0191@gmail.com;artlee@knu.ac.kr; | JOURNAL OF APPLIED MATHEMATICS & INFORMATICS | J APPL MATH INFORM | 2734-1194 | 2234-8417 | 42 | 3 | ESCI | MATHEMATICS, APPLIED | 2024 | 0.3 | 95.5 | 0 | 2025-04-16 | 0 | 0 | Geometric distribution of order k; modified geometric distribution of order k; runs and patterns statistics; weighted average | RUNS | Geometric distribution of order k; modified geometric distribution of order k; runs and patterns statistics; weighted average | English | 2024 | 2024 | 10.14317/jami.2024.709 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | Article | PATHWISE ROBUSTNESS IN THE INSTABILITY OF THE INCOHERENT STATE TO THE KURAMOTO-FOKKER-PLANCK EQUATION WITH RANDOM INPUTS | We present the pathwise robustness of an instability phenomenon for the incoherent state to the kinetic Kuramoto-Fokker-Planck equation with random inputs in a large coupling regime. For the case in which coupling strength and initial fluctuation are deterministic, it is well known that the incoherent state is nonlinearly unstable by constructing an exponentially growing mode. In contrast, when uncertainties are present in the coupling strength and initial data, we show that the nonlinear fluctuations around the incoherent state exist globally and grow exponentially fast along the sample path as well. Thus, the instability phenomenon of the incoherent state is robust with respect to random inputs as long as the supports of natural frequency distribution are confined in a sufficiently small symmetric interval around zero. | Ha, Seung-yeal; Shim, Woojoo; Xiao, Qinghua; Zhang, Yinglong | Seoul Natl Univ, Inst Math, Dept Math Sci & Res, Seoul 08826, South Korea; Kyungpook Natl Univ, Dept Math Educ, Daegu 41566, South Korea; Chinese Acad Sci, Innovat Acad Precis Measurement Sci & Technol, Wuhan 430071, Peoples R China; Shandong Univ, Sch Math, Jinan 250100, Peoples R China | syha@snu.ac.kr;wjshim@knu.ac.kr;xiaoqh@apm.ac.cn;yinglongzhang@sdu.edu.cn; | JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS | J KOREAN SOC IND APP | 1226-9433 | 1229-0645 | 28 | 4 | ESCI | MATHEMATICS, APPLIED | 2024 | 0.3 | 95.5 | 0 | Incoherent solution; instability; Kuramoto-Fokker-Planck equation; local sensitivity analysis | LOCAL SENSITIVITY-ANALYSIS; NONLINEAR INSTABILITY; SYNCHRONIZATION; MODEL; OSCILLATORS; POPULATIONS; STABILITY | English | 2024 | 2024 | 10.12941/jksiam.2024.28.140 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | ○ | Article | Real Hypersurfaces in the Complex Projective Space with Pseudo Ricci-Bourguignon Solitions | First, we give a complete classification of pseudo Ricci-Bourguignon soliton on real hypersurfaces in the complex projective space CPn = SUn+1/S(U-1 U-n). Next, as an application, we give a complete classification of gradient pseudo Ricci-Bourguignon soliton on real hypersurfaces in the complex projective space CPn. | Hwang, Doo Hyun; Suh, Young Jin | Kyungpook Natl Univ, Res Inst Real & Complex Manifolds, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Math, Daegu 41566, South Korea; Kyungpook Natl Univ, RIRCM, Daegu 41566, South Korea | 56677222700; 57205268556 | engus0322@naver.com;yjsuh@knu.ac.kr; | KYUNGPOOK MATHEMATICAL JOURNAL | KYUNGPOOK MATH J | 1225-6951 | 0454-8124 | 64 | 3 | ESCI | MATHEMATICS | 2024 | 0.2 | 95.5 | 0 | 2025-05-07 | 0 | 0 | pseudo Ricci-Bourguignon soliton; gradient pseudo Ricci- Bourguignon soliton; pseudo-anti commuting; pseudo-Einstein; complex projective space | EINSTEIN HYPERSURFACES | complex projective space; gradient pseudo Ricci-Bourguignon soliton; pseudo Ricci-Bourguignon soliton; pseudo-anti commuting; pseudo-Einstein | English | 2024 | 2024-09 | 10.5666/kmj.2024.64.3.435 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Sequencing of the complete plastome of the thermal adder's-tongue fern, Ophioglossum thermale Kom. (Ophioglossaceae) | The Ophioglossaceae family, one of the oldest orders of extant ferns, exhibits diverse morphological and chromosomal characteristics. This study presents the first complete plastome sequence of thermal adder's-tongue fern (Ophioglossum thermale), a species renowned for its antioxidant properties in traditional Chinese medicine. Our analyses revealed 27 simple sequence repeats (SSRs) in the plastome, with variations in SSR frequencies compared to related genera. Our phylogenetic analyses placed O. thermale within the Ophioglossum s.s. clade, supporting previous studies and suggesting polyphyly within the genus Ophioglossum based on the sensu PPG I system. The enlarged noncoding regions in fern organelles (ENRFOs) resulting from foreign DNA insertions in O. thermale were identified in the ycf2-trnH and trnT-trnfM regions, similar to other Ophioglossum species. ENRFOs were found at the LSC and SSC, but not in IRs in Ophioglossaceae. Consequently, foreign DNA insertions and lineage-specific SSRs shed light on plastome evolution in the Ophioglossaceae family. | Kim, Hyoung Tae | Kyungpook Natl Univ, Dept Crop Sci, Sangju, Kyungpook, South Korea | 56181017100 | htkim0922@knu.ac.kr; | MITOCHONDRIAL DNA PART B-RESOURCES | MITOCHONDRIAL DNA B | 2380-2359 | 9 | 8 | SCIE | GENETICS & HEREDITY | 2024 | 0.7 | 95.5 | 0 | 2025-05-07 | 0 | 0 | Foreign DNA insertions; Ophioglossum thermale; plastome; simple sequence repeat | EVOLUTION | Foreign DNA insertions; Ophioglossum thermale; plastome; simple sequence repeat | English | 2024 | 2024-08-02 | 10.1080/23802359.2024.2387255 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Synchronization Estimate of the Discrete Kuramoto Model with Multiplicative Random Noise | We study the onset of synchronization in the time-discretization of the Kuramoto model with multiplicative noise. Specifically, we present a sufficient condition that ensures that, starting from generic initial data, identical oscillators in the discrete-time Kuramoto model with multiplicative noise will be asymptotically synchronized almost surely. | Shim, Woojoo | Kyungpook Natl Univ, Dept Math Educ, Daegu 41566, South Korea | 57204943631 | wjshim@knu.ac.kr; | KYUNGPOOK MATHEMATICAL JOURNAL | KYUNGPOOK MATH J | 1225-6951 | 0454-8124 | 64 | 4 | ESCI | MATHEMATICS | 2024 | 0.2 | 95.5 | 0 | 2025-05-07 | 0 | 0 | Kuramoto model; order parameter; synchronization; Euler- Maruyama method | PHASE-LOCKED STATES; POPULATIONS; BEHAVIOR; OSCILLATORS; ENTRAINMENT; EXISTENCE; STABILITY; NETWORKS; LOCKING | Euler-Maruyama method; Kuramoto model; order parameter; synchronization | English | 2024 | 2024-12 | 10.5666/kmj.2024.64.4.559 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | The complete chloroplast genome of the neo-allotetraploid fern, Asplenium pseudocapillipes SHPark et al. (Aspleniaceae) | This study analyzed the complete plastome sequence of the neo-allotetraploid Asplenium pseudocapillipes S.H.Park et al. Asplenium pseudocapillipes has a typical circular plastome that comprises 157,242 bp with a large single copy (84,105 bp), a small single copy (21,503 bp), and two inverted repeats (IRs; 25,817 bp). The complete sequence comprises 127 genes, including 87 protein-coding genes (CDSs), eight ribosomal RNAs (rRNAs), 31 transfer RNAs (tRNAs), and one pseudogene. Among these genes, five CDSs, four rRNAs, and five tRNAs are duplicated in IRs. The guanine-cytosine content of the genome was 41.5%. The enlarged noncoding regions by Mobile Open Reading Frames in Fern Organelles were found once in other Asplenium species and twice in A. pseudocapillipes. Phylogenetic analysis based on 83 coding gene sequences revealed that A. pseudocapillipes is embedded in the A. varians subclade along with its progenitors. | Kim, Hyoung Tae | Kyungpook Natl Univ, Dept Crop Sci, Sangju, Kyungpook, South Korea | 56181017100 | htkim0922@knu.ac.kr; | MITOCHONDRIAL DNA PART B-RESOURCES | MITOCHONDRIAL DNA B | 2380-2359 | 9 | 1 | SCIE | GENETICS & HEREDITY | 2024 | 0.7 | 95.5 | 0 | 2025-04-16 | 0 | 0 | Asplenium pseudocapillipes; Aspleniaceae; chloroplast genome; neo-allotetraploid fern | SPECIES-DIVERSITY | Aspleniaceae; Asplenium pseudocapillipes; chloroplast genome; neo-allotetraploid fern | English | 2024 | 2024-01-02 | 10.1080/23802359.2024.2306205 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | The complete mitochondrial genome of a ground beetle Synuchus nitidus (Carabidae: Harpalinae: Sphodrini) from South Korea | The ground beetle Synuchus nitidus (Motschulsky, 1861) (Carabidae: Harpalinae: Sphodrini) is one of the most common species in the forests of South Korea, which has the potential to be utilized as an environmental indicator. Here, we characterized the complete mitochondrial genome (mitogenome) of S. nitidus, which is the first in the harpaline tribe Sphodrini. Its genome is 16,392 bp in length and composed of 13 protein-coding genes (PCGs), 22 tRNA genes, two rRNA genes, and an A + T rich region. In addition, we reconstructed a maximum likelihood tree to elucidate the phylogenetic position of Sphodrini among the seven harpaline tribes using nucleotide sequences of the 13 PCGs. The ML tree supported a monophyletic clade of the subfamily Harpalinae and showed a close relationship between Sphodrini and Lebinii with a low bootstrap value. The complete mitogenome of S. nitidus could be helpful for molecular species identification and exploring phylogenetic relationships among carabids. | Kim, Dooyoung; Kim, Gyeongmin; Shin, Cho Rong; Park, Bia; Choi, Eun Hwa; Hwang, Ui Wook | Kyungpook Natl Univ, Sch Ind Technol Adv, Dept Biomed Convergence Sci & Technol, Daegu, South Korea; Kyungpook Natl Univ, Sch Life Sci, Grad Sch, Daegu, South Korea; Kyungpook Natl Univ, Teachers Coll, Dept Biol Educ, Daegu, South Korea; Kyungpook Natl Univ, Inst Phylogen & Evolut, Daegu, South Korea; Phylomics Inc, Daegu, South Korea; Kyungpook Natl Univ, Inst Korean Herb Bioconvergence Promot, Daegu, South Korea | 57759300300; 57211378109; 57222521654; 57191834404; 57203556599; 35074015800 | uwhwang@knu.ac.kr; | MITOCHONDRIAL DNA PART B-RESOURCES | MITOCHONDRIAL DNA B | 2380-2359 | 9 | 6 | SCIE | GENETICS & HEREDITY | 2024 | 0.7 | 95.5 | 0 | 2025-04-16 | 0 | 0 | Synuchus nitidus; Sphodrini; ground beetle; mitochondrial genome; phylogeny | MITOGENOME PHYLOGENY; COLEOPTERA; SEQUENCE; ARTHROPODA; SELECTION; INSECTA | ground beetle; mitochondrial genome; phylogeny; Sphodrini; Synuchus nitidus | English | 2024 | 2024-06-02 | 10.1080/23802359.2024.2361689 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | The complete mitochondrial genome of the pulmonate snail Melampus sincaporensis (Gastropoda: ellobiidae) from South Korea | The pulmonate snail Melampus sincaporensis L. Pfeiffer, 1855 (Gastropoda: Ellobiidae) lives in extreme environments such as salt marshes with limited oxygen. Here, we characterized the complete mitochondrial genome of M. sincaporensis from South Korea. It is 14,962 bp in length and includes 13 protein-coding genes (PCGs), two genes, 21 tRNA genes lacking one tRNA-Ser, and two A + T rich regions. Among these 36 genes, 24 were encoded on the heavy strand and 12 on the light strand. A maximum likelihood tree constructed using nucleotide sequences of the 13 PCGs did not support the monophyly of Ellobiidae. This study could provide useful information for exploring phylogenetic relationships among ellobiids and their related species. | Yu, Hyejeong; Shin, Cho Rong; Kim, Gyeongmin; Park, Bia; Choi, Eun Hwa; Hwang, Ui Wook | Kyungpook Natl Univ, Teachers Coll, Dept Biol Educ, Daegu, South Korea; Kyungpook Natl Univ, Inst Phylogen & Evolut, Daegu, South Korea; Kyungpook Natl Univ, Sch Ind Technol Adv, Dept Biomed Convergence Sci & Technol, Daegu, South Korea; Kyungpook Natl Univ, Sch Life Sci, Grad Sch, Daegu, South Korea; Phylomics Inc, Daegu, South Korea; Kyungpook Natl Univ, Inst Korean Herb Bio Convergence Promot, Daegu, South Korea | Choi, Eun Hwa/HTN-1610-2023 | 59420510100; 57222521654; 57211378109; 57191834404; 57203556599; 35074015800 | choice@knu.ac.kr;uwhwang@knu.ac.kr; | MITOCHONDRIAL DNA PART B-RESOURCES | MITOCHONDRIAL DNA B | 2380-2359 | 9 | 11 | SCIE | GENETICS & HEREDITY | 2024 | 0.7 | 95.5 | 0.43 | 2025-05-07 | 1 | 1 | Melampus sincaporensis; mitochondrial genome; panpulmonata; Ellobiidae | TRANSFER-RNA GENES; MOLECULAR PHYLOGENY; BIVALVIA; MOLLUSCA; PRIMERS | Ellobiidae; Melampus sincaporensis; mitochondrial genome; panpulmonata | English | 2024 | 2024-11-01 | 10.1080/23802359.2024.2429645 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | The mitochondrial genome of a social wasp, Vespula rufa (Linnaeus, 1758) (Hymenoptera: Vespidae) | For an ongoing systematic study of Korean Vespidae, we analyzed the complete mitochondrial genome of a social wasp, Vespula rufa (Linnaeus 1758), from the South Korea. The mitogenome is 17,521 bp in length, comprising 13 protein-coding genes (PCGs), 22 transfer RNA (tRNA) genes, and two ribosomal RNA (rRNA) genes. The nucleotide composition is 40.5% adenines, 43.0% thymines, 6.0% guanines, and 10.5% cytosines. The GC content is 16.5%. A maximum-likelihood analysis was conducted to understand phylogenetic relationships, based on 13 complete mitogenome sequences of Vespinae species. We recognized that V. rufa is being placed basal within the genus Vespula. The complete mitochondrial genome of V. rufa provides useful genetic information for further studies. | Euo, Seung-Su; Choi, Jeong-Hwan; Choi, Moon Bo; Kim, Il-Kwon; Kim, Chang-Jun | Korea Natl Arboretum, Div Forest Biodivers, Pochon, South Korea; Kyungpook Natl Univ, Inst Plant Med, Daegu, South Korea; Korea Natl Arboretum, Gardens & Educ Div, Pochon 11186, Gyeonggi, South Korea | KIm, Changjun/GZM-7308-2022; Choi, Jeong/Q-5756-2019 | 57222466880; 57844023000; 51863232400; 55477687300; 55286588300 | changjunkim@korea.kr; | MITOCHONDRIAL DNA PART B-RESOURCES | MITOCHONDRIAL DNA B | 2380-2359 | 9 | 8 | SCIE | GENETICS & HEREDITY | 2024 | 0.7 | 95.5 | 0 | 2025-05-07 | 0 | 0 | Insecta; Vespidae; mitochondrial genome; Vespula rufa | ORGANIZATION; FABRICIUS; VESPINAE | Insecta; mitochondrial genome; Vespidae; Vespula rufa | English | 2024 | 2024-08-02 | 10.1080/23802359.2024.2381788 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Improving the Performance of Machine Learning with Sequential Feature Selection and Grid Search | Feature selection is an important step in developing accurate machine -learning models for classification tasks, including wine quality prediction. The accuracy of the machine learning model depends on the selection of relevant features that contribute to the predicted outcome. In this paper, we propose two commonly used optimization methods, forward sequential feature selection (SFS), and grid search, to identify the most relevant features for wine quality prediction using K -nearest neighbor (KNN). We used a dataset of 1598 samples with 11 wine -quality features and evaluated the performance of the KNN model trained on different subsets of features selected SFS. The result suggests that SFS and gird search are effective methods for wine quality prediction using KNN. The identified wine quality features help to predict the quality of wine more accurately, leading to better predictive outcomes. Thus, machine learning models can benefit greatly from the use of grid search and SFS. By fine-tuning the model in this way, it is possible to achieve better results in applications where accuracy and speed are important. As machine learning continues to be used in a wide range of industries, the use of these techniques will become increasingly important. Further research is needed to validate the model on larger datasets and to integrate it into practical classification or predictive analysis. | Assegie, Tsehay Admassu; Murugan, Sangeetha; Govindarajan, Rajkumar; Napa, Komal Kumar; D, D. | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea; Madanapalle Inst Technol & Sci, Dept Comp Sci & Engn, Madanapalle, Andhra Prades, India; Madanapalle Inst Technol & Sci, Dept Comp Sci & Engn Data Sci, Madanapalle, Andhra Prades, India; RMK Coll Engn & Technol, Gen Engn EEE, Dept Sci & Humanities, Thiruvallur, Tamil Nadu, India | Assegie, Tsehay/GPF-4344-2022; Admassu, Tsehay/GPF-4344-2022; D, NAGESWARI/ABD-4369-2021; kumar, komal/AAE-3535-2020 | 57209398365; 59005990700; 59005449000; 57212324259; 57200161214 | tsehayadmassu2006@gmail.com; | PRZEGLAD ELEKTROTECHNICZNY | PRZ ELEKTROTECHNICZN | 0033-2097 | 2449-9544 | 100 | 7 | ESCI | ENGINEERING, ELECTRICAL & ELECTRONIC | 2024 | 0.4 | 95.8 | 0 | 2025-05-07 | 0 | 0 | K-Nearest Neighbors; parameter tuning; machine learning | K-Nearest Neighbors; machine learning; parameter tuning | English | 2024 | 2024 | 10.15199/48.2024.07.29 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | Article | A study on improving the performance of the machine-learning based automatic music transcription model by utilizing pitch number information | In this paper, we study how to improve the performance of a machine learning -based automatic music transcription model by adding musical information to the input data. Where, the added musical information is information on the number of pitches that occur in each time frame, and which is obtained by counting the number of notes activated in the answer sheet. The obtained information on the number of pitches was used by concatenating it to the log mel-spectrogram, which is the input of the existing model. In this study, we use the automatic music transcription model included the four types of block predicting four types of musical information, we demonstrate that a simple method of adding pitch number information corresponding to the music information to be predicted by each block to the existing input was helpful in training the model. In order to evaluate the performance improvement proceed with an experiment using MIDI Aligned Piano Sounds (MAPS) data, as a result, when using all pitch number information, performance improvement was confirmed by 9.7 % in frame -based F1 score and 21.8 % in note -based F1 score offset. | Lee, Daeho; Lee, Seokjin | Kyungpook Natl Univ, Sch Elect Engn, 80 Daehak Ro, Daegu 41566, South Korea | sjlee6@knu.ac.kr; | JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA | J ACOUST SOC KOREA | 1225-4428 | 2287-3775 | 43 | 2 | ESCI | ACOUSTICS | 2024 | 0.3 | 96.3 | 0 | Automatic music transcription; Machine learning; Pitch number information; Polyphonic traanscription | English | 2024 | 2024 | 10.7776/ask.2024.43.2.207 | 바로가기 | 바로가기 | 바로가기 |
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