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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 | Artificial Neural Network-Based Gaussian Quadrature for the Method of Finite Spheres | The method of finite spheres is a novel and reliable numerical scheme. It is easy to use since it does not require a mesh, in contrast with the finite element method. However, the method of finite spheres uses rational interpolation functions based on the Shepard functions. Thus, it requires more integration points to integrate the element matrices accurately, resulting in poor computational efficiency. In this regard, research on Gaussian quadrature for the method of finite spheres has been conducted, however, it still implies a large computational cost. Therefore, we propose an algorithm for optimizing the weights of Gaussian quadrature using supervised learning. We evaluated the performance of enhanced Gaussian quadrature using the solutions of static and dynamic problems. The results establish that the number of integration points used in the Gaussian quadrature can be reduced, thereby significantly reducing the computational cost. | Yu, Minchul; Noh, Gunwoo | Kyungpook Natl Univ, Dept Mech Engn, Daegu, South Korea | gunwoo@knu.ac.kr; | TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A | T KOR SOC MEC ENG A | 1226-4873 | 2288-5226 | 44 | 4 | ESCI | ENGINEERING, MECHANICAL | 2020 | N/A | 0 | Method of Finite Spheres; Gaussian Quadrature; Stiffness Matrix; Artificial Neural Network | FAULT-DIAGNOSIS; PERFORMANCE | Korean | 2020 | 2020-04 | 10.3795/ksme-a.2020.44.4.261 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | Article | Assessment of paddy rice evapotranspiration estimation methods based on comparisons of agricultural water supply | This study assessed evapotranspiration (ET) methods applying for estimation of paddy rice water demand based on agricultural water supply. The Modified Penman (MP) method and the Penman-Monteith (PM) method recently suggested by Rural Development Administration (RDA) were considered. The 6 Korea Rural Community Corporation (KRC) command areas located in Honam province were selected in this study. The climate characteristics were also analysed with the average annual and the growing season temperatures and rainfalls. As a result, the annual average and the growing season temperature showed the increased trend while the rainfall tended to decrease during 30 years. The paddy rice water demand found to be directly influenced by these climate trends as ET also affected by them. The higher values of paddy rice water demand were obtained from applying MP method compared to the one applying PM method. The lower differences were also obtained from MP method for the comparisons between the paddy rice water demand estimated by both methods with agricultural water supply. Therefore, these results suggest that the MP method is more desirable to use for estimating paddy rice water demand in order to achieve stability of irrigation designs and plans. © 2020 Korea Water Resources Association. | Kim, Sanghyun; Cho, Gunho; Choi, Kyungsook | Department of Agricultural Civil Engineering, Kyungpook National University, Deagu, South Korea; Department of Agricultural Civil Engineering, Kyungpook National University, Deagu, South Korea; Department of Agricultural Civil Engineering, Kyungpook National University, Deagu, South Korea | 57211805802; 57208327000; 54392662900 | ks.choi@knu.ac.kr; | Journal of Korea Water Resources Association | 2799-8746 | 53 | 12 | 0.08 | 2025-06-25 | 1 | Agricultural water supply; ET; Modified-penman; Paddy water demand; Penman-monteith | Korean | Final | 2020 | 10.3741/jkwra.2020.53.12.1131 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Conference paper | Assessment of the relationship between the rainfall and the land surface temperature using the multi-temporal Landsat satellite images acquired in Seoul | Assessing the relationship between the rainfalls and the Land Surface Temperatures (LST) is significant for measuring the effects of the rainfalls on urban heat island. This research assessed the relationship between the rainfalls and the LST using the multi-temporal Landsat satellite images acquired in Seoul City, South Korea between 2013 and 2018 through the following steps. First, the data for the total amount of the monthly rainfalls observed in the weather stations was acquired. Next, the average LST in the entire area of Seoul City was calculated using the multi-temporal Landsat satellite images. Finally, the relationship between the rainfall and the LST was assessed by calculating the correlation coefficients between the total amount of the monthly rainfalls and the LST derived from the multi-temporal Landsat-8 satellite images. © 2020 40th Asian Conference on Remote Sensing, ACRS 2019: "Progress of Remote Sensing Technology for Smart Future". All rights reserved. | Choung, Yun-Jae; Kang, Dae-Ik; Park, Hye-Ji; Jo, Myung-Hee | Institute of Spatial Information Technology Research, GEO C&I Co., Ltd, 435 Hwarangro, Dong-gu, Daegu, 41165, South Korea; Institute of Spatial Information Technology Research, GEO C&I Co., Ltd, 435 Hwarangro, Dong-gu, Daegu, 41165, South Korea; Institute of Spatial Information Technology Research, GEO C&I Co., Ltd, 435 Hwarangro, Dong-gu, Daegu, 41165, South Korea; Department of Aero-Satellite Geo-Informatics Engineering, School of Convergence and Fusion System Engineering, College of Science and Technology, Kyungpook National University, 2559 Gyeongsang-daero, Sangju, 37224, South Korea | 55349975800; 57215432807; 57210920208; 55348712900 | 40th Asian Conference on Remote Sensing, ACRS 2019: Progress of Remote Sensing Technology for Smart Future | 0 | 2025-06-25 | 0 | Land surface temperature; Landsat satellite image; Rainfall; Urban heat island | Atmospheric temperature; Image acquisition; Landforms; Rain; Remote sensing; Satellite imagery; Surface measurement; Surface properties; Correlation coefficient; LANDSAT satellite images; Monthly rainfalls; Multi-temporal; Satellite images; South Korea; Urban heat island; Weather stations; Land surface temperature | English | Final | 2020 | 바로가기 | |||||||||||||||||||||
| ○ | ○ | Article | Association between Bone Mineral Density and Serum Iron Indices in Premenopausal Women in South Korea | Background: Osteoporosis is characterized by a decrease in bone mineral density (BMD) and increased risk of fragility fractures. Senun iron level may interact with bone health status. This study investigated the correlations of BMD with serum iron level, hemoglobin level, and total iron-binding capacity (TIBC). Methods: We performed a retrospective analysis of data from the medical records of premenopausal women in South Korea. The women's BMDs and the Z scores of the BMDs were verified using dual-energy X-ray absorption. The participants were stratified into quartiles for analyses of the associations of BMD with serurn iron level, TIBC, and hemoglobin level. Results: A simple linear regression analysis revealed associations of changes in BMD with iron level (beta=-0.001, standard error [SE]=0.001, P<0.001), hemoglobin level (beta=0.015, SE=0.003, P<0.001), and TIBC (beta=0.001, SE=0.001, P<0.001). This pattern was also observed in a multiple linear regression analysis. A multivariate logistic regression analysis of iron level and TIBC for low BMD revealed odds ratios of 1.005 (P<0.001) and 0.995 (P<0.001), respectively. Conclusion: This study demonstrated dear relationships of changes in BMD with serum iron level and TIBC, and thus confirms the usefulness of these markers in the clinical evaluation of iron storage and BMD in younger women. | Kim, Sung-Min; Kim, A-Sol; Ko, Hae-Jin; Moon, Hana; Choi, Hye-In; Song, Jieun | Kyungpook Natl Univ Hosp, Dept Family Med, Daegu, South Korea; Kyungpook Natl Univ, Sch Med, Dept Family Med, Daegu, South Korea; Kyungpook Natl Univ, Dept Family Med, Chilgok Hosp, Daegu, South Korea | ; Song, Jieun/LLM-7026-2024 | 57216656403; 57203290656; 54393415700; 57188814366; 57202001023; 57217295366 | deepai@knu.ac.kr; | KOREAN JOURNAL OF FAMILY MEDICINE | KOREAN J FAM MED | 2092-6715 | 41 | 3 | ESCI | PRIMARY HEALTH CARE | 2020 | N/A | 0.64 | 2025-06-25 | 6 | 4 | Bone and Bones; Bone Disease; Trace Elements; Premenopause; Women; Bone Density | TRACE MINERALS; OSTEOPOROSIS; DEFICIENCY; OVERLOAD; ZINC; MEN | Bone and bones; Bone density; Bone disease; Premenopause; Trace elements; Women | English | 2020 | 2020-05 | 10.4082/kjfm.18.0142 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | Article | Association between cardio-cerebro vascular disease and depression and factors influencing depression: The Korean national health and nutrition examination survey in 2014, 2016 | Purpose: In this study investigated the association between cardio-cerebro vascular disease and depression was examined and factors influencing depression in adults with cardio-cerebro vascular disease were identified. The Korean National Health and Nutrition Examination Survey (KNHANES) data (2014, 2016), which is representative of the Korean population was used. Methods: Data on 9,651 people (male 4,148, female 5,503; age≥19 years old from the KNHANES (Ⅵ-2, Ⅷ-1) were analyzed using frequency, percentage, x2 test, and logistic regression analysis. Depression is defined as major depression with doctor diagnosis or Patient Health Questionnaire-9 score ≥10. Ischemic heart disease (IHD)(myocardial infarction or angina) and stroke were defined as a doctor diagnosis. Results: The prevalence of depression was 20.4% in the IHD group and 22.9% in stroke group, which were statistically significant. After adjusting by sociodemographic, health-related, and independent variables in a logistic regression analysis, IHD (OR=1.91, 95% CI 1.36~2.69) and stroke (OR=1.83, 95% CI 1.23~2.72) were associated with depression. In addition, IHD was significantly associated with depression in women, people divorced or separated, current smokers, people with perceived stress, and hypercholesterolemia. In addition, stroke was significantly associated with depression in women, under the age of 65, with perceived stress. Conclusion: The results of this study show that cardio-cerebro vascular disease is associated with the depression and influencing factors on depression were socio-demographic and health-related characteristics. Therefore, intensive management of depression risk factors and development and application of a program reducing depression for patients with cardio-cerebro vascular disease should be developed. © 2020 Clarivate Analytics | Kim, Hee Jung; Song, Yeoungsuk | College of Nursing, Kyungpook National University, Daegu, South Korea; College of Nursing, Kyungpook National University, Daegu, South Korea | 57466414800; 55494171100 | asansong@knu.ac.kr; | Journal of the Korean Academy of Fundamentals of Nursing | 1225-9012 | 27 | 4 | 0.35 | 2025-06-25 | 2 | Angina pectoris; Depression; Myocardial Infarction; Stroke | Korean | Final | 2020 | 10.7739/jkafn.2020.27.4.387 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Article | Association of nursing activity participation and clinical practice stress with career maturity during clinical practice of nursing college students | Purpose: The purpose of this study was to figure out the association of nursing activity participation and clinical practice stress with career maturity during clinical practice among nursing college students. Methods: Participants of the study were 201 nursing college students located in nationwide regions. Data collection was performed between July 18 and August 8, 2019. Data analyses were performed through an independent t-test, ANOVA, Pearson's correlation coefficient, and multiple linear regression analysis using SPSS WIN 25.0. Results: The results of this study were as follows. We ran multiple regression analyses to see which critical factors influenced career maturity. The general characteristics significantly associated with career maturity were preference for clinical nursing, admission to nursing college due to belief, time off, and being satisfied with clinical practice. Regarding clinical practice stress, clinic environment, interpersonal relationship conflict, inappropriate role model and conflict with patients were significantly associated with career maturity. Conclusion: This study suggested that, to improve nursing students' career maturity, nursing colleges and training fields should collaboratively make an efforts to reduce students' stress by building educational clinic environments including managing conflicts in interpersonal relationships among patients, caregivers, and medical and non-medical personnel, and improving inappropriate role models in nursing. © 2020, Official of Journal of Korean Academic Society of Nursing Education. All right reserved. | Han, Seo Young; Kwak, Su Jin; Choi, Bo Gyeong; Jeon, Hyeong Ju; Lee, Myung Kyung | College of Nursing, Institute of Nursing Science, Kyungpook National University, 680, Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea; College of Nursing, Institute of Nursing Science, Kyungpook National University, 680, Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea; College of Nursing, Institute of Nursing Science, Kyungpook National University, 680, Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea; College of Nursing, Institute of Nursing Science, Kyungpook National University, 680, Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea; College of Nursing, Institute of Nursing Science, Kyungpook National University, 680, Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea | 57220900298; 57220898393; 57220899325; 57220893234; 40661513200 | mlee@knu.ac.kr; | Journal of Korean Academic Society of Nursing Education | 1225-9578 | 26 | 4 | 0.44 | 2025-06-25 | 3 | Career choice; Nursing students; Work engagement | Korean | Final | 2020 | 10.5977/jkasne.2020.26.4.337 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Review | Associations between metabolic syndrome and gynecologic cancer | Metabolic syndrome (MetS) is a group of risk factors that causes cardiovascular and diabetic morbidity and mortality, which is diagnosed by central obesity, dyslipidemia, hyperglycemia, and hypertension. Increasing epidemiological data and experimental results indicate that the presence of MetS increases the incidence of common malignancies and related mortality. Epidemiological studies have previously reported an association of endometrial cancer occurrence with MetS. Aromatization of androstenedione to estrogen, insulin resistance, and diabetes can cause increased levels of free estrogen, and the detrimental effect of elevated estrogen as a carcinogen is well studied in endometrial cancer. Medications used to manage MetS such as metformin and statins are suggested to reduce endometrial cancer risk and improve survival. Some large population-based epidemiological studies have suggested that the MetS is related to an increased risk of cervical carcinoma. MetS may contribute to viral-host interactions, which lead to persistent human papilloma virus (HPV) infection, although limited epidemiological data are available. Specific effects of obesity and diabetes on the occurrence of ovarian cancer have been suggested. However, the direct correlation between MetS and ovarian cancer is still lacking. Previous retrospective studies reported that the use of metformin, statins, and beta-blockers could be associated with cancer prevention or better prognosis. Proper diagnosis and management of the MetS should be a part of the strategies undertaken to prevent and treat gynecologic cancer. So far, only limited data is available on this subject, and further clinical and fundamental research is required to further clarify the effect of these therapies on gynecologic cancer treatment. | Lee, Da Yong; Lee, Taek Sang | Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Dept Obstet & Gynecol, Coll Med, Daegu, South Korea; Seoul Natl Univ, Boramae Med Ctr, Seoul Metropolitan Government, Seoul, South Korea | 57193077140; 15757709000 | tslee70@gmail.com; | OBSTETRICS & GYNECOLOGY SCIENCE | 2287-8572 | 2287-8580 | 63 | 3 | 2.63 | 2025-06-25 | 35 | 33 | Metabolic syndrome; Endometrial cancer; Cervical cancer; Ovarian cancer | Cervical cancer; Endometrial cancer; Metabolic syndrome; Ovarian cancer | English | 2020 | 2020-05 | 10.5468/ogs.2020.63.3.215 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | ○ | Article | Asystole due to stimulation of the supraorbital nerve: abrupt and potentially fatal presentation of the trigeminocardiac reflex | We present a case of sudden asystole that was elicited via the trigeminocardiac reflex in a patient undergoing surgery for a frontal sinus fracture. Asystole occurred after mild stimulation of the supraorbital nerve during dissection along the superior orbital rim. Anticholinergics were administered and lidocaine-soaked gauze was applied to the exposed wound. The patient was an athlete and had pre-existing sinus bradycardia. We hypothesise that the severe reflex response was associated with his underlying increased vagal tone. When performing surgery in patients with increased vagal tone, preventative measures to diminish the trigeminocardiac reflex are recommended. Further studies are needed. | Kim, Hyunjee; Lim, Dong Gun; Kim, Jeong Eon | Kyungpook Natl Univ, Sch Med, Dept Anesthesiol & Pain Med, Daegu, South Korea | 57208674365; 55420302000; 57218655058 | hj_kim@knu.ac.kr; | BMJ CASE REPORTS | 1757-790X | 13 | 8 | 0 | 2025-06-25 | 2 | 2 | anaesthesia; plastic and reconstructive surgery; cardiovascular system | anaesthesia; cardiovascular system; plastic and reconstructive surgery | Adolescent; Frontal Sinus; Heart Arrest; Humans; Intraoperative Complications; Male; Ophthalmic Nerve; Reflex, Trigeminocardiac; adolescent; case report; frontal sinus; heart arrest; human; injury; male; ophthalmic nerve; peroperative complication; physiology; surgery; trigeminocardiac reflex | English | 2020 | 2020-08 | 10.1136/bcr-2020-235419 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | Conference paper | Attentively Embracing Noise for Robust Latent Representation in BERT | Modern digital personal assistants interact with users through voice. Therefore, they heavily rely on automatic speech recognition (ASR) in order to convert speech to text and perform further tasks. We introduce EBERT, which stands for EmbraceBERT, with the goal of extracting more robust latent representations for the task of noisy ASR text classification. Conventionally, BERT is fine-tuned for downstream classification tasks using only the [CLS] starter token, with the remaining tokens being discarded. We propose using all encoded transformer tokens and further encode them using a novel attentive embracement layer and multi-head attention layer. This approach uses the otherwise discarded tokens as a source of additional information and the multi-head attention in conjunction with the attentive embracement layer to select important features from clean data during training. This allows for the extraction of a robust latent vector resulting in improved classification performance during testing when presented with noisy inputs. We show the impact of our model on both the Chatbot and Snips corpora for intent classification with ASR error. Results, in terms of F1-score and mean between 10 runs, show that our model significantly outperforms the baseline model. © 2020 COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. All rights reserved. | Sergio, Gwenaelle Cunha; Moirangthem, Dennis Singh; Lee, Minho | School of Electronics and Electrical Engineering; School of Electronics and Electrical Engineering; Department of Artificial Intelligence, Kyungpook National University, Daegu, 41566, South Korea | 57188756097; 57195432297; 57191730119 | COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference | 0.26 | 2025-06-25 | 3 | Character recognition; Classification (of information); Computational linguistics; Natural language processing systems; Speech recognition; Text processing; Automatic speech recognition; Chatbots; Classification performance; Classification tasks; Down-stream; F1 scores; Important features; Latent vectors; Recognition error; Text classification; Personal digital assistants | English | Final | 2020 | 바로가기 | ||||||||||||||||||||||
| ○ | ○ | Proceedings Paper | Automatic Image Recommendation for Economic Topics using Visual and Semantic Information | This paper proposes an image recommendation system for automatic report generation on economic topics. For a given specific headline query on daily economic events, the proposed system collects candidate images through a public search engine and choose the most appropriate one for summary report on the event. The proposed system is composed of two deep learning-based modules of different modalities: image filtering module and text matching module. In the image filtering module, an image classifier network is adopted to filter out non-photo images such as graph and tables. In the text matching module, a sentence embedding network is adopted to get text query vector and image caption vector and calculate their matching scores. By analyzing image and text information together, the proposed system can recommend suitable images both visually and semantically. Through computational experiments using a number of recent economic topics, we confirm that recommended images of the proposed system are more appropriate than that of conventional search engine. | Bur, Chan; Hyun, Changhun; Park, Hyeyoung | Kyungpook Natl Univ, Sch Comp Sci, Daegu, South Korea | HYUN, CHANGHUN/MYR-4076-2025 | 57216416244; 57188754151; 55713613500 | chanhur94@gmail.com;chhyun@knu.ac.kr;hypark@knu.ac.kr; | 2020 IEEE 14TH INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2020) | 2325-6516 | 0.52 | 2025-06-25 | 2 | 5 | image recommendation; deep learning; image classifier network; sentence embedding network; semantic information | SEARCH | Deep learning; Image classifier network; Image recommendation; Semantic information; Sentence embedding network | Deep learning; Semantics; Computational experiment; Embedding network; Image Classifiers; Image filtering; Matching score; Report generation; Semantic information; Text information; Search engines | English | 2020 | 2020 | 10.1109/icsc.2020.00037 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | Article | Autonomous exploration and semantic mapping of a mobile robot using efficient frontier selection | The frontier-based exploration method is a common approach used to navigate unknown region. Although existing frontier-based exploration is computationally simple in the exploration of the frontiers, this algorithm can cause unnecessary motion, thereby increasing the exploration time and decreasing the exploration success rate. To resolve this issue, we propose a method to improve the performance of the existing frontier-based exploration method by using an A-star path planner and a frontier selection algorithm that consider the direction of a mobile robot. In addition, we employed a real-time object detection technique to build a semantic map while exploring an unknown region. To verify our proposed approach, we performed experiments to compare the existing approach with our proposed method in the clutter environment(in real and Gazebo simulation). Through the experimental results showed that our method shortened the exploration path and time. © ICROS 2020. | Kim, Hyung Seok; Lee, Hyeon Beom | Department of Electronics Engineering, Kyungpook National University, South Korea; Department of Electronics Engineering, Kyungpook National University, South Korea | 57216888691; 55556473400 | hbeomlee@knu.ac.kr; | Journal of Institute of Control, Robotics and Systems | 1976-5622 | 26 | 5 | 0.24 | 2025-06-25 | 3 | Autonomous; Exploration; Frontier; Object detection | Agricultural robots; Air navigation; Mobile robots; Object detection; Semantics; Autonomous exploration; Efficient frontier; Exploration success; Frontier-based exploration; Path planners; Selection algorithm; Semantic map; Semantic mapping; Navigation | Korean | Final | 2020 | 10.5302/j.icros.2020.20.0026 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Article | Axis-switching Phenomena and Flow Characteristics for Non-circular Jets with Density Differences | Axis-switching phenomena and mixing characteristics were numerically investigated for noncircular jets with different densities. Four fluids of hydrogen, methane, air, and propane were adopted for circular, square, and triangular jets injected into ambient air. The Reynolds number based on the equivalent diameter was fixed at 10,000. From the results of the axial velocity decay and jet half width, effects of the density differences on the flow mixing of noncircular jets were discussed. The source terms in the vorticity transport equation were analyzed for the flow structure of axis-switching phenomenon. Depending on the density of jet fluid, axis-switching phenomenon was affected very differently. In light jets, the density difference hindered the axis-switching phenomenon, but the opposite effects of the density difference were obtained for heavy jets. | Yeo, Ji Eun; Park, Tae Seon | Kyungpook Natl Univ, Sch Mech Engn, Daegu, South Korea | tsparkjp@knu.ac.kr; | TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS B | T KOR SOC MEC ENG B | 1226-4881 | 44 | 2 | ESCI | ENGINEERING, MECHANICAL | 2020 | N/A | 0 | Non-circular Jet(sic); Mixing Characteristic(sic); Variable-Density(sic); Vorticity(sic); Axis-Switching(sic) | Korean | 2020 | 2020-02 | 10.3795/ksme-b.2020.44.2.095 | 바로가기 | 바로가기 | 바로가기 | |||||||||||||
| ○ | Article | Base Station Clustering in mmWave Cellular Networks with Self-Body Blocking | This letter considers base station (BS) clustering in a downlink mmWave cellular system to overcome the self-body blocking. If the communication link is lost due to the body blocking, a user quickly reselects the BS whose signal power is strongest in the cluster to continue the communication. In this scenario, a network model built upon stochastic geometry is put forth to analyze the signal-to-noise (SNR) complementary cumulative distribution function (CCDF). The obtained expression is verified via simulation. © 2020, Korean Institute of Communications and Information Sciences. All rights reserved. | Park, Jeonghun | Kyungpook National University, School of Electronics Engineering, South Korea | 57853652900 | jeonghun.park@knu.ac.kr; | Journal of Korean Institute of Communications and Information Sciences | 1226-4717 | 45 | 5 | 0 | 2025-06-25 | 0 | mmWave cellular networks; self-body blocking; Stochastic geometry | English | Final | 2020 | 10.7840/kics.2020.45.5.790 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Proceedings Paper | Battery Degradation Platform and Model for Realistic Battery Use Cases | In this paper, the mathematical evaluation model, extended wear density function (WDF), that evaluates battery remaining life is proposed. Also, a data platform to be utilized for the extended WDF is proposed. The previous WDF doesn't consider three factors; operation temperature, current, and operating state-of-charge (SOC). To build more practical WDF, we proposed the extended WDF model and data platform for the extended WDF. The measurement value of operation temperature, current, and operating SOC are transformed into coefficients for the extended WDF. The proposed data platform stores the measured data with the information of batteries specifications. The extended WDF model is trained by the gathered data so that it estimates battery degradation with the new experimental data which has the same attributes as the training data. In the simulation, the proposed extended WDF and data structure in the proposed platform is verified. | Kodaira, Daisuke; Han, Sekyung | Tokyo Univ Sci, Dept Elect Engn, Chiba, Tokyo, Japan; Kyungpook Natl Univ, Dept Elect Engn, Daegu, South Korea | 56974393400; 36023785800 | daisuke.kodaira03@gmail.com;skhan@knu.ac.kr; | 2020 THE 4TH INTERNATIONAL CONFERENCE ON SMART GRID AND SMART CITIES (ICSGSC 2020) | 0.45 | 2025-06-25 | 2 | 2 | battery degradation; wear density function; big-data platform | WEAR; COST | battery degradation; big-data platform; wear density function | Charging (batteries); Electric power transmission networks; Functions; Secondary batteries; Smart city; Smart power grids; Battery degradation; Data platform; Evaluation modeling; Extended wears; Operating state; Operation temperature; Remaining life; Training data; Battery management systems | English | 2020 | 2020 | 10.1109/icsgsc50906.2020.9248541 | 바로가기 | 바로가기 | 바로가기 | |||||||||||||
| ○ | ○ | Proceedings Paper | Beam Alignment for Millimeter Wave High Speed Train Communication Systems: A Bayesian Bandit Learning Approach | In this paper, we present a new approach for beam alignment in millimeter wave high speed train systems. The core idea of our approach is using Bayesian multi-armed bandit in the beam search process. In the proposed method, by approximating the signal on each beam direction as a Gaussian random variable, we update the posterior mean and variance once the beam direction is searched. With the obtained posterior mean and variance, we compute the upper and the lower confidence bounds, by which we identify the beam candidate to be searched in the next time. By selecting one whose confidence gap is large, we explore the beam direction that includes large amount of uncertainty, i.e., not much explored yet. Using this method, we also analyze the regret bound. Via simulation, we demonstrate the proposed Bayesian bandit learning approach provides better performance compared to other methods in terms of the beam alignment probability. | Park, Jeonghun; Baek, Seungkwon | Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea; ETRI, Future Mobile Commun Res Div, Daejeon 34129, South Korea | Aldhahir, Naofal/HCH-5192-2022 | 57853652900; 16068033800 | jeonghun.park@knu.ac.kr;skback@etri.re.kr; | 2020 IEEE 92ND VEHICULAR TECHNOLOGY CONFERENCE (VTC2020-FALL) | 0.58 | 2025-06-25 | 0 | 3 | Alignment; Learning systems; Millimeter waves; Railroad cars; Railroad transportation; Railroads; Beam alignments; Gaussian random variable; High speed train (HST); High speed train systems; Learning approach; Lower confidence bound; Multi armed bandit; Posterior means; Gaussian beams | English | 2020 | 2020 | 10.1109/vtc2020-fall49728.2020.9348641 | 바로가기 | 바로가기 | 바로가기 |
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