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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
Article Experimental Investigation on the Effects of the Geometry of the Pilot Burner on Main Flame Various kinds of pilot burners were experimentally investigated to examine the effects of their geometry and their location relative to the main burner of a real size combustor. In addition, a wide range of fuel equivalence ratios were investigated to analyze the feasibility of the novel pilot burner for the conventional burner application. From the results, it is shown that the novel pilot burner with multi air holes had a thin, straight, long and stable pilot flame, while the conventional pilot burner had a thick, lifted, short and unstable flame. It is also shown that the novel pilot burner with an upper air flow hole had a straight pilot flame which led to less thermal damage to the burner combustor. This study suggests that not only pilot burner flame shape but also the vertical location of the pilot burner from the main burner combustor has a significant effect on combustor durability. Lee, Cheol Woo; Kim, In Su; Hong, Jung Goo Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea; Environm & Energy Planning Team Hyundai Steel, Dangjin 31719, South Korea 57223855784; 57198915574; 24576652200 kaeru07@hyundai-steel.com;12insu@hyundai-steel.com;jghong70@knu.ac.kr; ENERGIES ENERGIES 1996-1073 14 4 SCIE ENERGY & FUELS 2021 3.252 66.8 0.07 2025-07-30 2 1 pilot burner; flame shape; burner geometry; flame temperature; buoyancy effect; thermal damage STABILIZATION Buoyancy effect; Burner geometry; Flame shape; Flame temperature; Pilot burner; Thermal damage Computer science; Energy management; Equivalence ratios; Experimental investigations; Multi-air-holes; Pilot burners; Pilot flame; Thermal damage; Unstable flames; Wide range of fuels; Combustors English 2021 2021-02 10.3390/en14041115 바로가기 바로가기 바로가기 바로가기
Article Higher Order Sliding Mode Observer-Based Sensor Fault Detection in DC Microgrid's Buck Converter Fault detection in a Direct Current (DC) microgrid with multiple interconnections of distributed generation units (DGUs) is an interesting topic of research. The occurrence of any sensor fault in the DC microgrid should be detected immediately by the fault detection network to achieve an overall stable performance of the system. This work focuses on sensor fault diagnosis of voltage and current sensors in interconnected DGUs of the microgrid. Two separate higher order sliding mode observers (HOSM) based on model dynamics are designed to estimate the voltage and current and generate the residuals for detecting the faulty sensors in DGUs. Multiplicative single and multiple sensor faults are considered in voltage and current sensors. By appropriate selection of threshold, single and multiple sensor fault detection strategies are formulated. A hierarchical controller is designed to ensure equal sharing of current among the DGUs of the DC microgrid and stabilize the system. Simulations are performed to validate the proposed approach for various configurations of the DC microgrid under various load and off noise conditions. Narzary, Daijiry; Veluvolu, Kalyana C. Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea Veluvolu, Kalyana Chakravarthy/C-6366-2011; NARZARY, DAIJIRY/AIE-7187-2022; Veluvolu, Kalyana/C-6366-2011 57201854373; 8703318200 narzary_daijy@knu.ac.kr;veluvolu@ee.knu.ac.kr; ENERGIES ENERGIES 1996-1073 14 6 SCIE ENERGY & FUELS 2021 3.252 66.8 0.62 2025-07-30 8 10 DC microgrid; distribution generation units; fault detection; higher order sliding mode observer; Lyapunov’ s stability; multi sensor faults TOLERANT CONTROL; SYSTEMS DC microgrid; Distribution generation units; Fault detection; Higher order sliding mode observer; Lyapunov’s stability; Multi sensor faults DC-DC converters; Electric fault currents; Microgrids; Sliding mode control; Detection networks; Distributed generation units; Hierarchical controllers; Higher order sliding modes; Noise conditions; Sensor fault detection; Sensor fault diagnosis; Stable performance; Fault detection English 2021 2021-03 10.3390/en14061586 바로가기 바로가기 바로가기 바로가기
Article Inductive Power Transfer Link at 13.56 MHz for Leadless Cardiac Pacemakers Inductive power links are most viable for the long-term powering of cardiac pacemakers. Designing an inductive power link without surpassing the specific absorption rate (SAR) for modern leadless cardiac pacemakers (LCPs) remains a challenging task because of its size and implantation depth. The inductive power link employed in the conventional works is either designed at a high frequency or based on the size, shape, weight, and implantation depth of conventional cardiac pacemakers. Here, a 3-coil inductive power transfer link with a circular transmitter coil and solenoidal receiver coil is designed at 13.56 MHz to provide uninterrupted power to the modern LCPs. Considering the food and drug administration approved term for implant size of modern LCP, the receiver coil is designed with 6 mm diameter and 6.5 mm length. The performance of the link has been verified through simulations and measurements under perfect alignment, lateral and/or angular misalignments, and distance variation between the coils. At a 50 mm horizontal distance between transmitter and receiver coils, the transmission coefficient is -30.9 dB. The maximum simulated average SAR at heterogeneous phantom is 0.30 W/kg, which is lower than the limit set by the Federal Communications Commission for radiation threshold exposure. Experiments conducted on pork's heart verified the reliability of the simulated results. At a 50 mm distance between the coils, the measured transmission coefficient is -34 dB, and at an input power of 1 W, the power delivered to the load is 0.7 mW. Mohanarangam, Krithikaa; Palagani, Yellappa; Cho, Kunhee; Choi, Jun-Rim Kyungpook Natl Univ, Coll IT Engn, Sch Elect & Elect Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Coll IT Engn, Sch Elect Engn, Daegu 41566, South Korea ; Mohanarangam, Krithikaa/IAO-1286-2023 56955462000; 57208080899; 57069360800; 7501392846 krithikaamohan@gmail.com;palaganiyellappa@gmail.com;kunhee@knu.ac.kr;jrchoi@knu.ac.kr; ENERGIES ENERGIES 1996-1073 14 17 SCIE ENERGY & FUELS 2021 3.252 66.8 0.69 2025-07-30 9 11 leadless cardiac pacemaker; 3-coil inductive power transfer link; solenoidal receiver; transmission coefficient; specific absorption rate TRANSFER SYSTEM; WIRELESS; OPTIMIZATION; EFFICIENT; DESIGN; TRANSMISSION; COILS 3-coil inductive power transfer link; Leadless cardiac pacemaker; Solenoidal receiver; Specific absorption rate; Transmission coefficient Alignment; Energy transfer; Inductive power transmission; Pacemakers; Transmitters; Angular misalignment; Federal communications commission; Food and Drug Administration; Inductive power transfer; Simulations and measurements; Specific absorption rate; Transmission coefficients; Transmitter and receiver; Heart English 2021 2021-09 10.3390/en14175436 바로가기 바로가기 바로가기 바로가기
Article Lithium Battery SOH Monitoring and an SOC Estimation Algorithm Based on the SOH Result Lithium batteries are the most common energy storage devices in items such as electric vehicles, portable devices, and energy storage systems. However, if lithium batteries are not continuously monitored, their performance could degrade, their lifetime become shortened, or severe damage or explosion could be induced. To prevent such accidents, we propose a lithium battery state of health monitoring method and state of charge estimation algorithm based on the state of health results. The proposed method uses four neural network models. A neural network model was used for the state of health diagnosis using a multilayer neural network model. The other three neural network models were configured as neural network model banks, and the state of charge was estimated using a multilayer neural network or long short-term memory. The three neural network model banks were defined as normal, caution, and fault neural network models. Experimental results showed that the proposed method using the long short-term memory model based on the state of health diagnosis results outperformed the counterpart methods. Lee, Jong-Hyun; Lee, In-Soo Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea 57201265019; 54979862300 whdugs8428@knu.ac.kr;insoolee@knu.ac.kr; ENERGIES ENERGIES 1996-1073 14 15 SCIE ENERGY & FUELS 2021 3.252 66.8 2.71 2025-07-30 32 44 lithium battery; state of charge; state of health; multilayer neural network; long short-term memory; estimation OF-CHARGE ESTIMATION; EQUIVALENT-CIRCUIT MODELS; ION BATTERY; FAULT-DIAGNOSIS; NEURAL-NETWORKS; STATE Estimation; Lithium battery; Long short-term memory; Multilayer neural network; State of charge; State of health Brain; Charging (batteries); Energy storage; Health; Lithium batteries; Long short-term memory; Multilayer neural networks; Multilayers; Energy storage systems; Neural network model; Portable device; Short term memory; SOC estimations; State of charge; State of health; State-of-charge estimation; Battery management systems English 2021 2021-08 10.3390/en14154506 바로가기 바로가기 바로가기 바로가기
Article Optimal Allocation for Electric Vehicle Charging Stations Currently, more than 30% of the fine dust generated in the Seoul metropolitan area is a pollutant emitted from automobiles such as diesel vehicles, and air pollution caused by this is becoming increasingly serious. In addition, the importance of electric vehicle distribution is increasing due to the strengthening of international environmental regulations on automobile exhaust gas and increasing the possibility of depletion of petroleum resources. This manuscript proposes a method for selecting an optimal electric vehicle charging station location in expanding charging facilities to activate electric vehicle distribution. For the sake of illustration, directions will be provided on how to select the best location for electric vehicle charging stations using data from Seoul, which has the best access. As the features, the number of living population and work force people and the number of guest facilities, which are determined to affect demand for quick charging, are considered. The missing values of the observed data are imputed based on the kriging technique from spatial correlation, and by segmenting the data through clustering, a representative technique of unsupervised learning, the characteristics of each cluster are examined and the characteristics of the clusters are identified. In addition, machine learning techniques such as the elastic net, random forest, support vector machine, and extreme gradient boosting are applied to examine the influence of the features used in predicting classes of data. In clustering analysis, the optimal number of clusters was determined to be 3 based on the heuristic and information-theoretic methods, and all the machine learning techniques considered showed that the number of work force population is the most important feature in predicting classes of data. All things considered from our results, it is reasonable to install quick electric vehicle charging stations in the places with the highest concentration of work force population and guest facility. Lee, Jiwon; An, Midam; Kim, Yongku; Seo, Jung-In Halla Univ, Dept Big Data Sci, Wonju 26404, South Korea; Kyungpook Natl Univ, Dept Stat, Daegu 41566, South Korea; Andong Natl Univ, Dept Informat Stat, Andong 36729, South Korea 57263178300; 57262996800; 47962102500; 56019284300 orchid9913@naver.com;anmid0522@gmail.com;kim.1252@knu.ac.kr;leehoo1928@gmail.com; ENERGIES ENERGIES 1996-1073 14 18 SCIE ENERGY & FUELS 2021 3.252 66.8 0.73 2025-07-30 9 11 electric vehicle charging; kriging; clustering; machine learning; feature importance PLACEMENT Clustering; Electric vehicle charging; Feature importance; Kriging; Machine learning Adaptive boosting; Decision trees; Electric automobiles; Environmental regulations; Fast charging (Batteries); Heuristic methods; Information theory; Learning systems; Optimization; Population statistics; Support vector machines; Charging facilities; Clustering analysis; Electric vehicle charging; Information-theoretic methods; Machine learning techniques; Petroleum resources; Seoul metropolitan area; Spatial correlations; Air pollution English 2021 2021-09 10.3390/en14185781 바로가기 바로가기 바로가기 바로가기
Article Performance Evaluation of Neural Network-Based Short-Term Solar Irradiation Forecasts Due to the globally increasing share of renewable energy sources like wind and solar power, precise forecasts for weather data are becoming more and more important. To compute such forecasts numerous authors apply neural networks (NN), whereby models became ever more complex recently. Using solar irradiation as an example, we verify if this additional complexity is required in terms of forecasting precision. Different NN models, namely the long-short term (LSTM) neural network, a convolutional neural network (CNN), and combinations of both are benchmarked against each other. The naive forecast is included as a baseline. Various locations across Europe are tested to analyze the models' performance under different climate conditions. Forecasts up to 24 h in advance are generated and compared using different goodness of fit (GoF) measures. Besides, errors are analyzed in the time domain. As expected, the error of all models increases with rising forecasting horizon. Over all test stations it shows that combining an LSTM network with a CNN yields the best performance. However, regarding the chosen GoF measures, differences to the alternative approaches are fairly small. The hybrid model's advantage lies not in the improved GoF but in its versatility: contrary to an LSTM or a CNN, it produces good results under all tested weather conditions. Liebermann, Simon; Um, Jung-Sup; Hwang, YoungSeok; Schluter, Stephan Univ Ulm, Dept Math & Econ, D-89069 Ulm, Germany; Kyungpook Natl Univ, Dept Geog, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Climate Change, Daegu 41566, South Korea; Univ Appl Sci Ulm, Dept Math Nat & Econ Sci, D-89075 Ulm, Germany Um, Jung-Sup/F-5351-2018 57224355619; 35173565000; 57218585482; 55258366500 simon.liebermann@uni-ulm.de;jsaeom@knu.ac.kr;poiu012345@naver.com;stephan.schlueter@thu.de; ENERGIES ENERGIES 1996-1073 14 11 SCIE ENERGY & FUELS 2021 3.252 66.8 0.51 2025-07-30 7 7 neural network; solar irradiation; time series forecasting; LSTM; CNN PREDICTION; ENSEMBLE; ALGORITHM; RADIATION; MODEL CNN; LSTM; Neural network; Solar irradiation; Time series forecasting Climate models; Complex networks; Convolutional neural networks; Irradiation; Long short-term memory; Meteorology; Renewable energy resources; Solar radiation; Climate condition; Forecasting precision; Goodness of fit; Hybrid model; Neural network (nn); Renewable energy source; Solar irradiation; Wind and solar power; Weather forecasting English 2021 2021-06 10.3390/en14113030 바로가기 바로가기 바로가기 바로가기
Article Precocious puberty in Korean girls with and without exposure to endocrine-disrupting chemicals in toy slime: a comparative analysis Background Toy slime is popular in Korea, and in parallel, pre-pubertal girls visit hospitals for early pubertal signs. Thus far, numerous studies have investigated the association of endocrine-disrupting chemicals (EDCs) with precocious puberty (PP). However, there is a lack of studies on the clinical manifestations and sex hormones. We aimed to investigate early pubertal development in Korean girls with or without a history of toy slime exposure and determine changes in bone age, Tanner stage, and sex hormones. Methods In this study, 140 girls underwent stimulation tests at Kyungpook National University Children's Hospital Endocrinology Department, during January 2018 and December 2020. Patients were divided into two groups for gonadotropin-releasing hormone (GnRH) stimulation test and frequency of exposure to toy slime (EDCs). GnRH stimulation test was conducted after an intravenous injection of 100 mu g of luteinizing hormone-releasing hormone. Slime exposure was defined as Slime >= 3 times/week for >= 3 months. Results History of slime exposure was found in 14 of 58 and 65 of 82 patients in the central PP (CPP) and non-CPP groups, respectively. Slime-exposed patients had advanced bone age, although their Tanner stage was low. Patients with a history of toy slime exposure were 5.5 times more likely to be diagnosed with non-CPP than patients without slime exposure (p < 0.05). Conclusions Exposure to toy slime in prepubertal girls may be associated with rapid clinical advancement of pubertal development and bone age, and the patients appear more likely to be diagnosed with non-CPP. Lee, Mi Seon; Lee, Gi Min; Ko, Cheol Woo; Moon, Jung Eun Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Pediat, Daegu, South Korea; Kyungpook Natl Univ, Dept Pediat Endocrinol, Childrens Hosp, 807 Hoguk Ro, Daegu 41404, South Korea 57209284335; 57217360405; 7202596445; 57205770947 subuya@daum.net; BMC ENDOCRINE DISORDERS BMC ENDOCR DISORD 1472-6823 21 1 SCIE ENDOCRINOLOGY & METABOLISM 2021 3.263 66.8 0.28 2025-07-30 6 4 Endocrine disruptors; GnRHa treatment; Precocious puberty; Sex hormones Endocrine disruptors; GnRHa treatment; Precocious puberty; Sex hormones Child; Endocrine Disruptors; Female; Follicle Stimulating Hormone; Follow-Up Studies; Gonadotropin-Releasing Hormone; Humans; Play and Playthings; Prognosis; Puberty, Precocious; Republic of Korea; Retrospective Studies; endocrine disruptor; follitropin; gonadorelin; luteinizing hormone; toy slime; unclassified drug; endocrine disruptor; follitropin; gonadorelin; Article; bone age; child; comparative study; controlled study; developmental stage; environmental exposure; female; follitropin blood level; girl; gonadorelin test; hospital; human; luteinizing hormone blood level; major clinical study; precocious puberty; prepuberty; recreation; retrospective study; sexual maturity; South Korean; Tanner stage; follow up; metabolism; pathology; precocious puberty; prognosis; recreation; South Korea English 2021 2021-09-18 10.1186/s12902-021-00855-x 바로가기 바로가기 바로가기 바로가기
Article Probabilistic Flood Assessment Methodology for Nuclear Power Plants Considering Extreme Rainfall Abnormal weather conditions due to climate change are currently increasing on both global and local scales. It is therefore important to ensure the safety of the areas where major national facilities are located by analyzing risk quantitatively and re-evaluating the existing major facilities, such as nuclear power plants, considering the load and capacity of extreme flood conditions. In this study, a risk analysis method is developed that combines flood hazard curves with fragility curves using hydraulic and hydrological models by GIS tools and the @RISK model for the probabilistic flood analysis of nuclear power plant sites. A two-dimensional (2D) analysis is first carried out to estimate flood depths in various watershed scenarios, and a representative hazard curve for both external and internal flooding is made by applying a verified probability distribution type for the flood watersheds. For the analysis of flooding within buildings, an internal grid is constructed using GIS with related design drawings, and based on the flood depth results of the 2D analysis, a hazard curve for the representative internal inundation using a verified probability distribution type is presented. In the present study, walkdowns with nuclear experts are conducted around the nuclear power plant area to evaluate the fragile structures and facilities under possible flooding. After reviewing the 2D inundation analysis results based on the selected major equipment and facilities, the zones requiring risk assessment are re-assigned. A fragility curve applying probability distribution for the site's major equipment and facilities is also presented. Failure risk analysis of the major facilities is then conducted by combining the proposed hazard and fragility curves. Results in the form of quantitative values are obtained, and the indicators for risks as well as the reliability and optimal measures to support decision-making are also presented. Through this study, it is confirmed that risk assessment based on the proposed probabilistic flood analysis technique is possible for flood events occurring at nuclear power plant sites. Kim, Beom-Jin; Kim, Minkyu; Hahm, Daegi; Park, Junhee; Han, Kun-Yeun Korea Atom Energy Res Inst, Smart Struct Safety & Prognosis Res Div, Daejeon 34057, South Korea; Kyungpook Natl Univ, Sch Architectural Civil Environm & Energy Engn, Daegu 41566, South Korea 57222745004; 55686383800; 36805245600; 36782938500; 7402963477 diamond982@naver.com;minkyu@kaeri.re.kr;dhahm@kaeri.re.kr;jhpark78@kaeri.re.kr;kshanj@knu.ac.kr; ENERGIES ENERGIES 1996-1073 14 9 SCIE ENERGY & FUELS 2021 3.252 66.8 0.41 2025-07-30 6 7 2D external flood analysis; 2D internal flood analysis; flood hazard curve; fragility curve; probabilistic flood analysis SAFETY ASSESSMENT 2D external flood analysis; 2D internal flood analysis; Flood hazard curve; Fragility curve; Probabilistic flood analysis Climate change; Decision making; Flood control; Floods; Hazards; Hydraulic tools; Nuclear energy; Nuclear fuels; Probability distributions; Risk analysis; Risk assessment; Structural design; Analysis techniques; Extreme rainfall; Flood assessment; Fragility curves; Hydrological models; Quantitative values; Risk analysis methods; Two Dimensional (2 D); Nuclear power plants English 2021 2021-05 10.3390/en14092600 바로가기 바로가기 바로가기 바로가기
Article Recombinant growth hormone therapy in children with Turner Syndrome in Korea: a phase III Randomized Trial Background: Short stature is the most consistent characteristic feature of Turner syndrome (TS). To improve final heights of children with TS effectively, it is important to provide them with early and appropriate treatment using growth hormone (GH). The objective of this study was to assess the efficacy and safety of a new recombinant human GH, Growtropin (R)-II (DA-3002, Dong-A ST Co., Ltd) versus a comparator (Genotropin (R), Pfizer Inc.) for Korean children with TS. Methods: This open-label, active-controlled, parallel-group, randomized controlled phase III trial was conducted at 11 hospitals in Korea. Eligible patients (n = 58) were randomized to two groups: 1) DA-3002 group (administrated with DA-3002 at 0.14 IU [0.0450-0.050 mg] /kg/day); and 2) comparator group (administrated with the comparator at 0.14 IU [0.0450-0.050 mg] /kg/day). Results: The change from baseline in annualized height velocity (HV) after a 52-week treatment period was 4.15 +/- 0.30 cm/year in the DA-3002 group and 4.34 +/- 0.29 cm/year in the comparator group. The lower bound of 95% two-sided confidence interval for group difference in the change of annualized HV (- 1.02) satisfied the non-inferiority margin (- 1.5). The change in height standard deviation score (HtSDS) at 52-week was 0.70 +/- 0.23 for the DA-3002 group and 0.66 +/- 0.39 for the comparator group, showing no significant (p = 0.685) difference between the two groups. The change of skeletal maturity defined as change in bone age/change in chronological age between the two groups was not significantly different (1.25 +/- 0.58 for the DA-3002 group and 1.47 +/- 0.45 for the comparator group, p = 0.134). Changes from baseline in serum insulin-like growth factor-1 (IGF-1) and insulin-like growth factor binding protein-3 (IGFBP-3) after 52 weeks of treatment did not differ significantly between the two groups (p = 0.565 and p = 0.388, respectively) either. The occurrence of adverse events was not statistically different between groups. Conclusions: This study demonstrates that the efficacy and safety of GH treatment with DA-3002 in children with TS are comparable with those of the comparator. It is expected to analysis the long-term effect of DA-3002 on the increase of final adult height in children with TS and possible late-onset complications in the future. Kim, Jinsup; Kim, Min-Sun; Suh, Byung-Kyu; Ko, Cheol Woo; Lee, Kee-Hyoung; Yoo, Han-Wook; Shin, Choong Ho; Hwang, Jin Soon; Kim, Ho-Seong; Chung, Woo Yeong; Kim, Chan Jong; Han, Heon-Seok; Jin, Dong-Kyu Hanyang Univ, Coll Med, Dept Pediat, Med Ctr, Seoul, South Korea; Sungkyunkwan Univ, Dept Pediat, Samsung Med Ctr, Sch Med, 81 Irwon Ro, Seoul 06351, South Korea; Catholic Univ Korea, Seoul St Marys Hosp, Dept Pediat, Seoul, South Korea; Kyungpook Natl Univ Hosp, Dept Pediat, Daegu, South Korea; Korea Univ Anam Hosp, Dept Pediat, Seoul, South Korea; Univ Ulsan, Dept Pediat, Asan Med Ctr Childrens Hosp, Med Genet Clin & Lab,Coll Med, Seoul, South Korea; Seoul Natl Univ Childrens Hosp, Dept Pediat, Seoul, South Korea; Ajou Univ Hosp, Dept Pediat, Suwon, South Korea; Yonsei Univ, Severance Hosp, Dept Pediat, Coll Med, Seoul, South Korea; Inje Univ Busan Paik Hosp, Dept Pediat, Busan, South Korea; Chonnam Natl Univ Hosp, Dept Pediat, Gwangju, South Korea; Chungbuk Natl Univ Hosp, Dept Pediat, Cheongju, South Korea Lee, Byung-Hyun/AAD-7977-2022; kim, jinsup/JMC-9325-2023 56903838900; 58736569200; 23026105800; 7202596445; 8629768500; 7201373304; 8505197600; 35205334700; 37031208400; 8605959600; 55664409000; 35276984600; 55666965500 jindk.jin@samsung.com; BMC ENDOCRINE DISORDERS BMC ENDOCR DISORD 1472-6823 21 1 SCIE ENDOCRINOLOGY & METABOLISM 2021 3.263 66.8 0.09 2025-07-30 3 3 Short stature; Turner syndrome; Growth hormone LONG-TERM RESPONSE; FINAL HEIGHT; ADULT HEIGHT; GIRLS; GUIDELINES; WOMEN; GAIN; CARE Growth hormone; Short stature; Turner syndrome Body Height; Child; Child, Preschool; Female; Growth Hormone; Hormone Replacement Therapy; Humans; Recombinant Proteins; Republic of Korea; Turner Syndrome; da 3002; growtropin; recombinant growth hormone; somatomedin binding protein 3; somatomedin C; unclassified drug; growth hormone; recombinant protein; age; Article; child; clinical effectiveness; clinical feature; controlled study; dose response; drug effect; drug efficacy; drug safety; human; Korea; major clinical study; open study; phase 3 clinical trial; randomized controlled trial; treatment outcome; Turner syndrome; body height; clinical trial; drug effect; female; hormone substitution; preschool child; South Korea; Turner syndrome English 2021 2021-12-10 10.1186/s12902-021-00904-5 바로가기 바로가기 바로가기 바로가기
Article Roof Color-Based Warm Roof Evaluation in Cold Regions Using a UAV Mounted Thermal Infrared Imaging Camera Existing studies on reducing urban heat island phenomenon and building temperature have been actively conducted; however, studies on investigating the warm roof phenomenon to in-crease the temperature of buildings are insufficient. A cool roof is required in a high-temperature region, while a warm roof is needed in a low-temperature or cold region. Therefore, a warm roof evaluation was conducted in this study using the roof color (black, blue, green, gray, and white), which is relatively easier to install and maintain compared to conventional insulation materials and double walls. A remote sensing method via an unmanned aerial vehicle (UAV)-mounted thermal infrared (TIR) camera was employed. For warm roof evaluation, the accuracy of the TIR camera was verified by comparing it with a laser thermometer, and the correlation between the surface temperature and the room temperature was also confirmed using Pearson correlation. The results showed significant surface temperature differences ranging from 8 & DEG;C to 28 & DEG;C between the black-colored roof and the other colored roofs and indoor temperature differences from 1 & DEG;C to 7 & DEG;C. Through this study, it was possible to know the most effective color for a warm roof according to the color differences. This study gave us an idea of which color would work best for a warm roof, as well as the temperature differences from other colors. We believe that the results of this study will be helpful in heating load research, providing an objective basis for determining whether a warm roof is applied. Lee, Kirim; Park, Jinhwan; Jung, Sejung; Lee, Wonhee Kyungpook Natl Univ, Dept Spatial Informat, Daegu 41566, South Korea; Korea Land & Geospatial Informatix Corp, Andong 36691, South Korea; Kyungpook Natl Univ, Dept Convergence & Fus Syst Engn, Sangju 37224, South Korea 57193932338; 57188874008; 57209137546; 57190774365 geolee@knu.ac.kr;wlsghkss123@naver.com;renai1221@knu.ac.kr;wlee33@knu.ac.kr; ENERGIES ENERGIES 1996-1073 14 20 SCIE ENERGY & FUELS 2021 3.252 66.8 0.29 2025-07-30 9 8 UAV; warm roof; thermal infrared images; surface temperature; indoor temperature URBAN HEAT-ISLAND; MODELS; REDUCE; IMPACT; DRONE Indoor temperature; Surface temperature; Thermal infrared images; UAV; Warm roof Antennas; Atmospheric temperature; Cameras; Correlation methods; Infrared radiation; Remote sensing; Roofs; Surface properties; Thermography (imaging); Unmanned aerial vehicles (UAV); Cold regions; Heat island phenomena; Indoor temperature; Infrared imaging cameras; Surface temperatures; Temperature differences; Thermal infrared images; Thermal infrared imaging; Urban heat island; Warm roof; Color English 2021 2021-10 10.3390/en14206488 바로가기 바로가기 바로가기 바로가기
Review Sediment and Cavitation Erosion in Francis Turbines-Review of Latest Experimental and Numerical Techniques Sediment and cavitation erosion of the hydroelectric power turbine components are the fundamental problems in the rivers of Himalayas and Andes. In the present work, the latest research conducted in both the fields by various investigators and researchers are discussed and critically analyzed at different turbine components. Analysis shows that both types of erosion depends on flow characteristics, surface, and erodent material properties. Design optimization tools, coalesced effect (CE) of sediment and cavitation erosion and well conducted experiments will yield results that are beneficial for erosion identification and reduction. Although some researchers have done experimental work on the coalesced effect (CE) of sediment and cavitation erosion, very limited Computational Fluid Dynamics (CFD) work is available in literature. The present research work will be beneficial for practitioners and researchers in the future to address the erosion problem successfully. Noon, Adnan Aslam; Kim, Man-Hoe FET Int Islamic Univ, Dept Mech Engn, Islamabad 44000, Pakistan; Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, IEDT, Daegu 41566, South Korea 57190281449; 55686310000 adnan.aslam@iiu.edu.pk;manhoe.kim@knu.ac.kr; ENERGIES ENERGIES 1996-1073 14 6 SCIE ENERGY & FUELS 2021 3.252 66.8 0.46 2025-07-30 25 29 hydroelectric power turbine; sediment erosion; cavitation erosion; CFD; coalesced effect Cavitation erosion; CFD; Coalesced effect; Hydroelectric power turbine; Sediment erosion Cavitation; Computational fluid dynamics; Erosion; Francis turbines; Hydroelectric power; Hydroelectric power plants; Sediments; Design optimization; Erodent; Erosion problem; Himalayas; Numerical techniques; On flow; Turbine components English 2021 2021-03 10.3390/en14061516 바로가기 바로가기 바로가기 바로가기
Article Seismic Performance of Piping Systems of Isolated Nuclear Power Plants Determined by Numerical Considerations The interest in the seismic performance of nuclear power plants has increased worldwide since the Fukushima Daiichi Nuclear Power Plant incident. In Korea, interest in the seismic safety of nuclear power plants has increased since the earthquake events in Gyeongju (2016) and Pohang (2017). In Korea, studies have been conducted to apply seismic isolation systems to ensure seismic safety while minimizing the design changes to nuclear power plants. Nuclear power plants with seismic isolation systems may have a higher seismic risk due to the failure of the piping system in the structure after a relatively large displacement. Therefore, it is essential to secure the seismic safety of pipes for the safe operation of nuclear power plants. The seismic safety of pipes is determined by seismic fragility analysis. Seismic fragility analysis requires many seismic response analyses because it is a statistical approach to various random variables. Typical numerical conditions affecting the seismic response analysis of pipes are the convergence conditions and mesh size in numerical analysis. This study examined the change in the seismic safety of piping according to the numerical conditions. The difference in the seismic response analysis results of the piping according to the mesh size was analyzed comparatively. In addition, the change in the seismic fragility curve of the piping according to the convergence conditions was investigated. Chang, Sungjin; Jeon, Bubgyu; Kwag, Shinyoung; Hahm, Daegi; Eem, Seunghyun Korea Construct & Transport Engn Dev Collaborator, Suwon 17058, South Korea; Hanbat Natl Univ, Dept Civil & Environm Engn, Daejeon 34158, South Korea; Korea Atom Energy Res Inst, Mech & Struct Safety Res Div, Daejeon 37224, South Korea; Kyungpook Natl Univ, Major Plant Syst Engn, Dept Convergence & Fus Syst Engn, Sangju 41566, South Korea ; Eem, Seunghyun/KVB-1493-2024 55494267900; 54961482000; 55779491500; 36805245600; 52363442900 sjchang@pusan.ac.kr;bkjeon79@pusan.ac.kr;skwag@hanbat.ac.kr;dhahm@kaeri.re.kr;eemsh@knu.ac.kr; ENERGIES ENERGIES 1996-1073 14 13 SCIE ENERGY & FUELS 2021 3.252 66.8 0.07 2025-07-30 3 3 pipe analysis; seismic-response analysis; finite element method; cyclic loading tests; seismic fragility BEHAVIOR; FAILURE Cyclic loading tests; Finite element method; Pipe analysis; Seismic fragility; Seismic-response analysis Earthquakes; Mesh generation; Nuclear energy; Nuclear fuels; Piping systems; Safety engineering; Seismic design; Seismic response; Seismic waves; Convergence conditions; Fukushima dai-ichi nuclear power plants; Seismic fragility analysis; Seismic fragility curves; Seismic isolation systems; Seismic Performance; Seismic response analysis; Statistical approach; Nuclear power plants English 2021 2021-07 10.3390/en14134028 바로가기 바로가기 바로가기 바로가기
Article Sequential change point test in the presence of outliers: the density power divergence based approach In this study, we consider a problem of monitoring parameter changes particularly in the presence of outliers. To propose a sequential procedure that is robust against outliers, we use the density power divergence to derive a detector and stopping time that make up our procedure. We first investigate the asymptotic properties of our sequential procedure for i.i.d. sequences and then extend the proposed procedure to stationary time series models, where we provide a set of sufficient conditions under which the proposed procedure has an asymptotically controlled size and consistency in power. As an application, our procedure is applied to the GARCH models. We demonstrate the validity and robustness of the proposed procedure through a simulation study. Finally, two real data analyses are provided to illustrate the usefulness of the proposed sequential procedure. Song, Junmo Kyungpook Natl Univ, Dept Stat, Deagu 41566, South Korea 23470710200 jsong@knu.ac.kr; ELECTRONIC JOURNAL OF STATISTICS ELECTRON J STAT 1935-7524 15 1 SCIE STATISTICS & PROBABILITY 2021 1.225 66.8 0.15 2025-07-30 0 1 Sequential change detection; monitoring parameter change; robust test; outliers; density power divergence; time series; GARCH models MAXIMUM-LIKELIHOOD-ESTIMATION; PARAMETER CHANGE; ROBUST ESTIMATION; TIME-SERIES; ESTIMATOR; GARCH Density power divergence; GARCH models; Monitoring parameter change; Outliers; Robust test; Sequential change detection; Time series English 2021 2021 10.1214/21-ejs1868 바로가기 바로가기 바로가기 바로가기
Article Solid Fuel Characteristics of Pellets Comprising Spent Coffee Grounds and Wood Powder To help mitigate the effects of global warming and fossil fuel depletion caused by human use of fossil fuels, solid fuel pellets were developed from a mixture of spent coffee grounds (SCG) and pine sawdust (PS). The feasibility of SCG-PS pellets as biofuel was also verified by evaluating its fuel quality. An increase in the proportion of SCG in the pellet led to an increase in its calorific value, owing to the high C, H, and oil contents, and increases in the ash and S contents, owing to the high S content in SCG. Analysis of the feedstock particle size distribution revealed that SCG particles are smaller than PS particles; thus, the durability of the pellet decreases as the proportion of SCG increases. Accordingly, the samples with higher SCG proportions (70 and 90 wt.%) did not meet the moisture content standards for biomass solid refuse fuel (bio-SRF) set by the Korea Ministry of Environment, whereas the samples with lower SCG proportions did. In particular, CP10 (10 wt.% SCG + 90 wt.% PS) satisfied the quality standards of Grade 1 wood pellets, demonstrating the feasibility of using SCG as a raw material for biofuel pellet production. Woo, Duk-Gam; Kim, Sang Hyeon; Kim, Tae Han Hokkaido Univ, Res Fac Agr, Sapporo, Hokkaido 0600808, Japan; Kyungpook Natl Univ, Dept Bioind Machinery Engn, Daegu 41566, South Korea 57210347680; 57223864758; 57204040387 dgwoo@bpe.agr.hokudai.ac.jp;sjnaroo@gmail.com;thakim@knu.ac.kr; ENERGIES ENERGIES 1996-1073 14 2 SCIE ENERGY & FUELS 2021 3.252 66.8 1.45 2025-07-30 18 22 spent coffee grounds; pellet; bio solid refuse fuel; fuel characteristics; solid fuel quality standards Bio solid refuse fuel; Fuel characteristics; Pellet; Solid fuel quality standards; Spent coffee grounds Biofuels; Global warming; Particle size; Particle size analysis; Pelletizing; Spent fuels; Fossil-fuel depletions; Fuel quality; Ministry of environments; Oil contents; Pellet production; Pine sawdust; Quality standard; Spent coffee grounds; Fossil fuels English 2021 2021-01 10.3390/en14020371 바로가기 바로가기 바로가기 바로가기
Article Test for parameter change in the presence of outliers: the density power divergence-based approach This study considers the problem of testing for parameter change, particularly in the presence of outliers. To lessen the impact of outliers, we propose a robust test based on the density power divergence introduced by Basu et al. (Biometrika, 1998), and then derive its limiting null distribution. Our test procedure can be naturally extended to any parametric model to which MDPDE can be applied. To illustrate this, we apply our test procedure to GARCH models. We demonstrate the validity and robustness of the proposed test through a simulation study. In a real data application to the Hang Seng index, our test locates some change-points that are not detected by the existing tests such as the score test and the residual-based CUSUM test. Song, Junmo; Kang, Jiwon Kyungpook Natl Univ, Dept Stat, Daegu, South Korea; Jeju Natl Univ, Dept Comp Sci & Stat, Jeju 63243, South Korea 23470710200; 56123620200 jwkang@jejunu.ac.kr; JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION J STAT COMPUT SIM 0094-9655 1563-5163 91 5 SCIE COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;STATISTICS & PROBABILITY 2021 1.225 66.8 0.39 2025-07-30 3 3 Test for parameter change; robust test; outliers; density power divergence; GARCH models GARCH; ROBUST; ESTIMATOR; MODELS density power divergence; GARCH models; outliers; robust test; Test for parameter change English 2021 2021-03-24 10.1080/00949655.2020.1842407 바로가기 바로가기 바로가기 바로가기
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KeywordsPlus (SCOPUS) SCOPUS에서 자동으로 추출하거나 추가한 색인 키워드입니다.
Language 논문이 작성된 언어입니다. 대부분 English이며, 그 외 다양한 언어로 작성된 논문이 포함될 수 있습니다.
Publication Year 논문이 출판된 연도입니다.
Publication Date 논문의 정확한 출판 날짜입니다 (년-월-일 형식).
DOI Digital Object Identifier. 디지털 객체 식별자로, 논문을 고유하게 식별하는 영구적인 식별번호입니다. 이를 통해 논문의 온라인 위치를 찾을 수 있습니다.