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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 Useful Reduction Mammoplasty Technique in Oncoplastic Breast Surgery and Reconstruction Background. A combination of the reduction mammoplasty technique and breast reconstruction allows surgeons to lift ptotic breasts through local flaps and skin reduction during surgery for breast cancer. This study presents a reliable course for the combination of partial and skin or nipple-sparing mastectomy with reduction-reconstruction surgery. Methods. Fifty-seven patients underwent a partial mastectomy before reduction mammoplasty of both breasts during the same time period between 2014 and 2021 at our institution and thirteen patients underwent skin or nipple-sparing mastectomy, breast reconstruction with an extended latissimus dorsi flap or silicone implant, and aesthetic reduction mammoplasty of the contralateral breast during the same time period. Additional photos were obtained preoperatively, immediately after the operation, and at one, three, six, and twelve months postoperatively. Patient satisfaction was evaluated preoperatively and postoperatively and postoperative complications were noted. Results. Among the patients who underwent a partial mastectomy, the mean age was 45.18 +/- 11.05 years, the mean body mass index (BMI) was 26.74 +/- 3.53 kg/m(2), and the mean preoperative right and left breast volumes were 663.85 (+/- 28.12) cc and 664.34 (+/- 37.13) cc, respectively, and the mean excised mass weight was 177.74 (+/- 213.93) g. Among the patients who underwent a skin-sparing mastectomy, the mean age was 51.62 +/- 8.96 years, the mean BMI was 26.91 +/- 4.34 kg/m(2), and the mean preoperative right and left breast volumes were 624.17 (+/- 98.52) cc and 562.31 (+/- 80.81) cc, respectively, and the mean excised mass weight was 618.05 (+/- 338.17) g. Four patients (5.3%) in the partial mastectomy group had fat necrosis. The mean patient satisfaction score was higher postoperatively in both groups. Conclusion. Patients with breast cancer and large and/or ptotic breasts can successfully undergo reduction mammoplasty for both breasts immediately following partial mastectomy and nipple or skin-sparing mastectomy. Lee, Jong Ho; Ryu, Jeong Yeop; Choi, Kang Young; Yang, Jung Dug; Chung, Ho Yun; Cho, Byung Chae; Kang, Byeongju; Lee, Jeeyeon; Park, Ho Yong; Lee, Joon Seok Kyungpook Natl Univ, Sch Med, Dept Plast & Reconstruct Surg, Daegu, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Surg, Daegu, South Korea Yang, Jung/R-7806-2019; LEE, JIN/Q-3108-2018; PARK, JUN-YOUNG/P-5981-2015; Ryu, Jeong Yeop/GLQ-9419-2022; Lee, Ho-jeong/S-4934-2019; Lee, Jong-Mok/KVY-9550-2024 57212661146; 56366349400; 57203745682; 55171704700; 7404007181; 55662871100; 57279815300; 37079213100; 56564377200; 56496041000 clerk0823@naver.com;rjyflying@naver.com;prschoi@gmail.com;lambyang@hanmail.net;chunghoyun@gmail.com;bccho@knu.ac.kr;libertas033@gmail.com;j.lee@knu.ac.kr;phy123@knu.ac.kr;leejspo@knu.ac.kr; BREAST JOURNAL BREAST J 1075-122X 1524-4741 2022 SCIE OBSTETRICS & GYNECOLOGY;ONCOLOGY 2022 2.1 66.5 0.28 2025-06-25 2 2 PATIENT SATISFACTION; CANCER PATIENTS; MASTECTOMY; AUGMENTATION; NECROSIS Adult; Breast Neoplasms; Female; Humans; Mammaplasty; Mastectomy; Mastectomy, Subcutaneous; Middle Aged; Nipples; Retrospective Studies; Treatment Outcome; adult; Article; axillary lymph node dissection; body mass; breast ptosis; breast reconstruction; breast reduction; comfort; controlled study; ductal breast carcinoma in situ; fat necrosis; female; human; latissimus dorsi flap; major clinical study; middle aged; nipple-sparing mastectomy; partial mastectomy; patient satisfaction; postoperative complication; postoperative period; preoperative evaluation; questionnaire; sentinel lymph node biopsy; skin-reducing mastectomy; skin-sparing mastectomy; surgical technique; visual analog scale; breast tumor; mastectomy; nipple; procedures; retrospective study; subcutaneous mastectomy; treatment outcome English 2022 2022-10-21 10.1155/2022/2952322 바로가기 바로가기 바로가기 바로가기
Article Change in brand attitude depending on fashion film type: the psychological mechanisms by engagement and consumer fantasy proneness Purpose This study investigates the effect of consumers' brand attitude changes according to the fashion film type. Furthermore, it examines the psychological mechanism by engagement and consumer fantasy proneness. This study is meaningful because it provides a more in-depth understanding of the use of fashion film as a means of consumer-oriented persuasion communication. Design/methodology/approach This research uses a 2(fashion film type: narrative vs non-narrative) x 2(consumer fantasy proneness: high vs low) mixed factorial design to test the hypotheses. ANOVA and the PROCESS macro mounted on SPSS was used to test hypotheses. Findings The group with high consumer fantasy proneness showed more changes in brand attitude when exposed to non-narrative than narrative fashion films, but the group with low consumer fantasy proneness showed no significant difference in brand attitude change according to the fashion film type. In addition, when consumer fantasy proneness is high, media and brand engagement for non-narrative fashion films increase sequentially, resulting in a greater change in brand attitude, whereas these psychological mechanisms do not work in groups with low consumer fantasy proneness. Practical implications Fashion brands should identify their respective target group when producing fashion films and choose differentiated narrative forms. In the case of pursuing a fantastic aesthetic value, the non-narrative type induces more attention and curiosity from consumers than the narrative type, which affects the feeling of a special bond or relevance with the brand. Originality/value This study has value in that it demonstrates the rationale for why a fashion brand needs to select a differentiated content structure according to the aesthetic value pursued when making a fashion film in branding work. Park, Hyun Hee Kyungpook Natl Univ, Sch Text & Fash Design, Sangju, South Korea 56155667400 c21ircle@lmu.ac.kr;c21ircle@knu.ac.kr; ASIA PACIFIC JOURNAL OF MARKETING AND LOGISTICS ASIA PAC J MARKET LO 1355-5855 1758-4248 34 6 SSCI BUSINESS 2022 3.7 66.6 0.75 2025-06-25 10 12 Fashion film type; Media engagement; Brand engagement; Change in brand attitude; Consumer fantasy proneness; Moderated mediation effect NARRATIVE-TRANSPORTATION; ENTERTAINMENT-EDUCATION; PURCHASE INTENTION; MEDIA; PERSUASION; COMMUNICATION; ANTECEDENTS; INVOLVEMENT; FLOW; EWOM Brand engagement; Change in brand attitude; Consumer fantasy proneness; Fashion film type; Media engagement; Moderated mediation effect English 2022 2022-06-06 10.1108/apjml-12-2020-0904 바로가기 바로가기 바로가기 바로가기
Article Implicit vs explicit expression on advertising in a cross-cultural study: the mediating role of processing fluency and number of alternatives Purpose This study aims to examine the moderating effect of culture on the phrase expression type that affects product attitude. Moreover, to identify the mechanism by which these effects occur, the authors investigated the mediating role of processing fluency, and examined how such a mediating effect of processing fluency varies with number of alternatives. Design/methodology/approach Three experiments were conducted to verify the hypotheses presented in this study. Experiment 1 tested the effects of phrase expression type and culture on product attitude; a two-factor design (phrase expression type: explicit expression vs implicit expression) was applied, and culture was classified according to nationality. Experiment 2 tested the mediating effect of processing fluency on product attitude, using the same approach as Experiment 1. Experiment 3 tested the moderated mediating role of the number of alternatives, a between-group experimental design of 2 (phrase expression: explicit expression vs implicit expression) x 2 (number of alternatives: many vs few) was applied. Findings Experiment 1's results demonstrate that product attitude is more favorable when implicit expressions are used for Asians, whereas it is more favorable with explicit expressions for Westerners. Experiment 2 verifies that the interaction effect between phrase expression type and culture on product attitude is mediated by processing fluency. Experiment 3's results demonstrate that the number of alternatives moderates the mediating role of processing fluency for Westerners, but has no effect on the processing fluency for Asians. Originality/value This study provides novel insights and expands the field of study of phrase expression types by separating the ambiguous boundaries among phrase presentation types. Furthermore, this study provides practical guidelines for establishing effective advertising strategies for companies by suggesting suitable phrase expression types based on culture. Yoon, JaeHyun; Kim, Hanku Kyungpook Natl Univ, Business Adm, Daegu, South Korea 57300753800; 57195427228 hangu19@knu.ac.kr; ASIA PACIFIC JOURNAL OF MARKETING AND LOGISTICS ASIA PAC J MARKET LO 1355-5855 1758-4248 34 8 SSCI BUSINESS 2022 3.7 66.6 0.25 2025-06-25 4 4 Phrase expression type; Culture; Processing fluency; Number of alternatives; Product attitude INDIVIDUAL-DIFFERENCES; SELF; COLLECTIVISM; THINKING; BRAND; ADVERTISEMENTS; ATTITUDE; PRODUCT; GENDER; IMPACT Culture; Number of alternatives; Phrase expression type; Processing fluency; Product attitude English 2022 2022-08-16 10.1108/apjml-04-2021-0289 바로가기 바로가기 바로가기 바로가기
Article A Hybrid Channel-Communication-Enabled CNN-LSTM Model for Electricity Load Forecasting Smart grids provide a unique platform to the participants of energy markets to tweak their offerings based on demand-side management. Responding quickly to the needs of the market can help to improve the reliability of the system, as well as the cost of capital investments. Electric load forecasting is important because it is used to make and run decisions about the power grid. However, people use electricity in nonlinear ways, which makes the electric load profile a complicated signal. Even though there has been a lot of research done in this field, an accurate forecasting model is still needed. In this regard, this article proposed a hybrid cross-channel-communication (C3)-enabled CNN-LSTM model for accurate load forecasting which helps decision making in smart grids. The proposed model is the combination of three different models, i.e., a C3 block to enable channel communication of a CNN (convolutional neural networks) model, two convolutional layers to extract the features and an LSTM (long short-term memory network) model for forecasting. In the proposed hybrid model, Leaky ReLu (rectified linear unit) was used as activation function instead of sigmoid. The channel communication in CNN model makes the proposed model very light and efficient. Extensive experimentation was done on electricity load data. The results show the model's high efficiency. The proposed model shows 98.3% accuracy and 0.4560 MAPE error. Saeed, Faisal; Paul, Anand; Seo, Hyuncheol Kyungpook Natl Univ, Dept Comp Sci & Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Architectural Civil Environm & Energy Engn, Daegu 41566, South Korea ; Paul, Anand/V-6724-2017; Seo, Hyuncheol/ABC-5117-2020 58165089300; 56650522400; 56083741500 bscsfaisa1821@gmail.com;paul.editor@gmail.com;charles@knu.ac.kr; ENERGIES ENERGIES 1996-1073 15 6 SCIE ENERGY & FUELS 2022 3.2 66.8 1.95 2025-06-25 15 24 cross-channel communication; Convolutional Neural Networks; LSTM; electricity; load; forecasting SMART GRIDS Convolutional Neural Networks; cross-channel communication; electricity; forecasting; load; LSTM Behavioral research; Commerce; Convolution; Convolutional neural networks; Decision making; Electric load forecasting; Electric power plant loads; Electric power transmission networks; Electric utilities; Investments; Multilayer neural networks; Smart power grids; Channel communication; Convolutional neural network; Cross-channel communication; Electricity load forecasting; Hybrid channels; Load; Long short-term memory network; Memory network; Network models; Neural network model; Long short-term memory English 2022 2022-03 10.3390/en15062263 바로가기 바로가기 바로가기 바로가기
Article A Unit Commitment Model Considering Feasibility of Operating Reserves under Stochastic Optimization Framework Grid integration of renewable resources such as solar and wind energy can significantly raise the level of uncertainty in power systems, making the scheduled operation of generating units difficult. Therefore, the importance of operating reserves is more emphasized to prevent disruption by sudden changes in outputs of generators. In this paper, a stochastic unit commitment (UC) model to reflect uncertainty due to a large amount of renewable resources is proposed, in which upward and downward operating reserves are deployed simultaneously, and feasibility of the reserves is examined to make the deployed reserves supplied reliably. Uncertain parameters considered in the model are wind power availability, solar direct normal irradiance, and electric load. Two-stage stochastic programming is applied to the mathematical formulation, where UC decisions including dispatch are modeled as non-anticipative variables at the first stage, and redispatch decisions to serve realized electric demand are made at the second stage as recourse. By solving the UC problem, feasible and reliable stochastic UC and dispatch solutions can be provided to power system operators. Park, Heejung Kyungpook Natl Univ, Sch Energy Engn, Daegu 41566, South Korea 56484825400 h.park@knu.ac.kr; ENERGIES ENERGIES 1996-1073 15 17 SCIE ENERGY & FUELS 2022 3.2 66.8 0.64 2025-06-25 8 8 energy management; stochastic unit commitment; reserve feasibility; economic dispatch; renewable generation LAGRANGIAN-RELAXATION; FORMULATION economic dispatch; energy management; renewable generation; reserve feasibility; stochastic unit commitment Electric load dispatching; Scheduling; Stochastic models; Stochastic programming; Stochastic systems; Wind power; Economic Dispatch; Operating reserve; Optimization framework; Renewable generation; Renewable resource; Reserve feasibility; Stochastic optimizations; Stochastic unit commitments; Uncertainty; Unit Commitment; Uncertainty analysis English 2022 2022-09 10.3390/en15176221 바로가기 바로가기 바로가기 바로가기
Article Adaptive Backward/Forward Sweep for Solving Power Flow of Islanded Microgrids This paper presents an algorithm for solving the power flow (PF) problem of droop-regulated AC microgrids (DRACMs) operating in isolated mode. These systems are based on radial distribution networks without having a slack bus to facilitate conventional computations. Moreover, distributed generation units have to distribute the power and voltage regulation among themselves as a function of operating frequency and voltage droop rather than having a slack bus that regulates voltage and power demands. Based on the conventional backward/forward sweep algorithm (BFS), the proposed method is a derivative-free PF algorithm. To manage the absence of a slack bus in the system, the BFS algorithm introduces new loops, equations, and self-adaptation procedures to its computation procedures. A comparison is presented between the proposed BFS algorithm and other state-of-the-art PF algorithms, as well as PSCAD/EMTDC. In comparison to existing algorithms, the proposed approach is fast, simple, accurate, and easy to implement, and it can be considered an effective tool for planning and analyzing islanded DRACMs. Kumar, Abhimanyu; Kumar, Abhishek; Mallipeddi, Rammohan; Lee, Dong-Gyu Kyungpook Natl Univ, Dept Artificial Intelligence, Daehak Ro,Buk Gu, Daegu 41566, South Korea Mallipeddi, Rammohan/AAL-5306-2020; Kumar, Abhishek/ABA-5251-2021 57845674200; 57206266703; 25639919900; 57169003900 mallipeddi.ram@gmail.com; ENERGIES ENERGIES 1996-1073 15 24 SCIE ENERGY & FUELS 2022 3.2 66.8 0.49 2025-06-25 4 6 islanded AC microgrid; backward; forward sweep algorithm; distributed generation; self-adaptation; power flow LOAD-FLOW; NEWTON-RAPHSON; ALGORITHM; COMPENSATION; MODEL backward/forward sweep algorithm; distributed generation; islanded AC microgrid; power flow; self-adaptation Electric load flow; Microgrids; Voltage regulators; Backward/forward sweep algorithm; Forward sweeps; Islanded AC microgrid; Islanded microgrid; Microgrid; Power flow algorithm; Power flows; Self- adaptations; Slack bus; Sweep algorithms; Distributed power generation English 2022 2022-12 10.3390/en15249348 바로가기 바로가기 바로가기 바로가기
Article Airside Thermal Performance of Louvered Fin Flat-Tube Heat Exchangers with Different Redirection Louvers The performance of heat exchangers is severely limited by airside thermal resistance. The effect of redirection louvers (RLs) on the airside thermal performance of a compact flat-tube louvered fin heat exchanger was investigated. A steady-state 3D numerical analysis was conducted for different fin configurations by varying the number of RLs (N-RL = 1, 2, 3, and 5). Conjugate heat transfer analysis was performed at the low Re (50-450) for domestic and transport air-conditioning applications. Geometric parameters such as louver pitch, louver angle, fin pitch, and flow depth were set as 1.7 mm, 27 degrees, 1.2 mm, and 20 mm, respectively. The effective heat transfer fin surface areas of different fin configurations were also kept identical for a comparative analysis. The influence of the RLs on the airside thermal-hydraulic performance was analysed by exploring the local and average Nusselt numbers, pressure drop, Colburn j factor, friction factor f, performance evaluation criteria (PEC), and flow efficiency of different fin configurations. The numerical results revealed that the asymmetric fin configuration with two RLs (N-RL = 2) showed the best heat transfer performance for the entire Re range. It resulted in a 33% higher average Nusselt number, causing a 24% higher pressure drop compared to NRL=5. At low flow velocities (Re 75), N-RL = 1 outperformed other fin configurations. Finally, it was noted that increasing the number of RLs reduced the amplitude of the wavy-shaped flow formed between the neighbouring louvered fin, consequently deteriorating the flow efficiency. Saleem, Arslan; Kim, Man-Hoe Cardiff Univ, Sch Engn, Queens Bldg,Parade, Cardiff CF24 3AA, Wales; Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, IEDT, Daegu 41566, South Korea ; Saleem, Arslan/ABA-5982-2021 57194776354; 55686310000 manhoe.kim@knu.ac.kr; ENERGIES ENERGIES 1996-1073 15 16 SCIE ENERGY & FUELS 2022 3.2 66.8 0.48 2025-06-25 6 6 heat exchanger; louver fin; RL; Colburn j factor; friction factor HYDRAULIC PERFORMANCE; FLOW; SIMULATION; NANOFLUID; RADIATORS; BEHAVIOR; DESIGN Colburn j factor; friction factor; heat exchanger; louver fin; RL Air conditioning; Drops; Efficiency; Fins (heat exchange); Flow velocity; Friction; Heat resistance; Heat transfer performance; Pressure drop; Colburn j factor; Fin configuration; Flow efficiency; Friction factors; J factors; Louver fin; Louvered fins; Performance evaluation criteria; Redirection louver; Thermal Performance; Nusselt number English 2022 2022-08 10.3390/en15165904 바로가기 바로가기 바로가기 바로가기
Article An Alternative to Index-Based Gas Sourcing Using Neural Networks An index on the gas market commonly refers to the average price of a certain trading product, e.g., over the period of one month. Index-based sourcing is a widely-used habit in modern gas business. Risks are reduced by averaging prices over the purchasing period. Due to the significant volume, there have been many attempts to "beat the index", i.e., to design a strategy that, over time, offers cheaper prices than the index. Here, we use neural networks to identify n, n is an element of N, optimal shopping points. Both classification- and forecasting-based strategies are tested to decide on each trading day if gas should be purchased or not. Thereby, we use the Front Month index based on prices from the Dutch Title Transfer Facility as an example. Regarding cumulative performance, all but a very simple myopic algorithm are able to outperform the index. However, each strategy has its flaws and some positive results are due to the price increase during 2021. If one opts for an active sourcing strategy, then a forecasting-based approach is the best choice. Schlueter, Stephan; Jung, Sejung; von Doellen, Andreas; Lee, Wonhee Ulm Univ Appl Scienes, Dept Math Nat & Econ Sci, D-89075 Ulm, Germany; Kyungpook Natl Univ, Dept Convergence & Fus Syst Engn, Sangju 37224, South Korea; Wintershall Dea GmbH, D-34119 Kassel, Germany Jung, Sejung/NRB-6938-2025 55258366500; 57209137546; 57258641700; 57190774365 stephan.schlueter@hs-ulm.de;renai1226@knu.ac.kr;andreas.von-doellen@wintershalldea.com;wlee33@knu.ac.kr; ENERGIES ENERGIES 1996-1073 15 13 SCIE ENERGY & FUELS 2022 3.2 66.8 0 2025-06-25 0 0 neural networks; gas trading algorithm; classification; forecasting; TTF prices STORAGE VALUATION; MONTE-CARLO; MARKET classification; forecasting; gas trading algorithm; neural networks; TTF prices Commerce; Costs; Forecasting; Gas business; Gas market; Gas trading algorithm; Myopic algorithm; Neural-networks; Performance; Price increase; Simple++; Title transfer facilities; TTF price; Gases English 2022 2022-07 10.3390/en15134708 바로가기 바로가기 바로가기 바로가기
Article Benchmarking Optimization-Based Energy Disaggregation Algorithms Energy disaggregation (ED), with minimal infrastructure, can create energy awareness and thus promote energy efficiency by providing appliance-level consumption information. However, ED is highly ill-posed and gets complicated with increase in number and type of devices, similarity between devices, measurement errors, etc. To design, test, and benchmark ED algorithms, the availability of open-access energy consumption datasets is crucial. Most datasets in the literature suit data-intensive pattern-based ED algorithms. Recently, optimization-based ED algorithms that only require information regarding the operational states of the devices are being developed. However, the lack of standard datasets and appropriate evaluation metrics is hindering the development of reproducible state-of-the-art optimization-based ED algorithms. Therefore, in this paper, we propose a dataset with multiple instances that are representative of the different challenges posed by ED in practice. Performance indicators to empirically evaluate different optimization-based ED algorithms are summarized. In addition, baseline simulation results of the state-of-the-art optimization-based ED algorithms are presented. The developed dataset, summarization of different metrics, and baseline results are expected to provide a platform for researchers to develop novel optimization-based frameworks, in general, and evolutionary computation-based frameworks in particular to solve ED. Ajani, Oladayo S.; Kumar, Abhishek; Mallipeddi, Rammohan; Das, Swagatam; Suganthan, Ponnuthurai Nagaratnam Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 37224, South Korea; Indian Stat Inst, Elect & Commun Sci Unit, Kolkata 700108, India; Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore Suganthan, Ponnuthurai Nagaratnam/A-5023-2011; Mallipeddi, Rammohan/AAL-5306-2020; Suganthan, Ponnuthurai/A-5023-2011; Kumar, Abhishek/ABA-5251-2021; Das, Swagatam/AAG-6753-2019; AJANI, Oladayo/HIR-9607-2022 57465126000; 57206266703; 25639919900; 24729258600; 7003996538 oladayosolomon@gmail.com;abhishek.kumar.eee13@itbhu.ac.in;mallipeddi.ram@gmail.com;swagatamdas19@yahoo.co.in;epnsugan@ntu.edu.sg; ENERGIES ENERGIES 1996-1073 15 5 SCIE ENERGY & FUELS 2022 3.2 66.8 0.49 2025-06-25 4 6 non-intrusive load monitoring; optimization-based energy disaggregation; benchmarking; evaluation metrics Benchmarking; Evaluation metrics; Non-intrusive load monitoring; Optimization-based energy disaggregation Electric load management; Energy efficiency; Energy utilization; Design tests; Disaggregation; Energy; Energy-awareness; Evaluation metrics; Ill posed; Nonintrusive load monitoring; Optimisations; Optimization-based energy disaggregation; State of the art; Benchmarking English 2022 2022-03 10.3390/en15051600 바로가기 바로가기 바로가기 바로가기
Article Data-Driven Fault Diagnosis and Cause Analysis of Battery Pack with Real Data Owing to the increasing use of electric vehicles (EVs), the demand for lithium-ion (Li-ion) batteries is rising. In this light, an essential factor governing the safety and efficiency of electric vehicles is the proper diagnosis of battery errors. In this article, we address the detection of battery problems by using the intraclass correlation coefficient (ICC) method and the order of cell voltages to enhance EV performance. Furthermore, we propose a framework for diagnosing problems with battery packs, which could be used to detect abnormal behavior. The proposed method calculates ICC values based on the terminal voltages extracted from a caravan battery pack. These ICC values are then used to determine whether the battery has a defect. In addition, the order of cell voltages is used to analyze the causes of faults. Furthermore, we conducted experiments to investigate and evaluate battery cell faults in EVs. The experimental results indicate that the proposed approach can be used to detect battery cell faults accurately. Yang, Jian; Jung, Jaewook; Ghorbanpour, Samira; Han, Sekyung Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Hydrogen & Renewable Energy, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Elect Engn, Daegu 41566, South Korea yang, jian/HIK-0188-2022; Jung, Jae/W-2284-2019 57465368000; 57465368100; 57207109590; 36023785800 zian.yang94@gmail.com;jungjw93@gmail.com;samira.ghorbanpour@gmail.com;skhan@knu.ac.kr; ENERGIES ENERGIES 1996-1073 15 5 SCIE ENERGY & FUELS 2022 3.2 66.8 0.61 2025-06-25 5 8 battery management system (BMS); fault diagnosis; LFP battery; electric vehicle; correlation coefficient LITHIUM-ION BATTERY; MANAGEMENT; MODEL; PREDICTION; SYSTEMS; SAFETY; ISSUES Battery management system (BMS); Correlation coefficient; Electric vehicle; Fault diagnosis; LFP battery Battery management systems; Battery Pack; Electric vehicles; Fault detection; Information management; Lithium-ion batteries; Safety factor; Battery cells; Battery management system; Battery pack; Cell voltages; Coefficient values; Correlation coefficient; Data-driven fault diagnosis; Faults diagnosis; Intraclass correlation coefficients; LFP battery; Failure analysis English 2022 2022-03 10.3390/en15051647 바로가기 바로가기 바로가기 바로가기
Article Delay Causes and Types in Nigerian Power Construction Projects Numerous events cause delays to entire power projects' completion timelines, leading to loss. This paper focuses on revealing the critical delay causes in Nigerian power projects and identifying the delay types such as excusable delay, compensable delay, critical delay, and concurrent delay from the different perspectives of owner and contractor. Based on the survey of the 84 industrial experts in power distribution and transmission projects in Nigeria, this study provides the mean score and rank of 39 delay causes. Among the causes, 14 are identified as critical in the Nigerian power project. The top three critical delay causes are corruption and bureaucracy in government, inadequate fund/budget allocation, and price fluctuation/inflation. Owner and contractor do not show the difference in classifying the 14 delay causes into excusable and compensable delays. However, there was a difference between owner and contractor in categorizing whether a cause is critical or not and concurrent or not. A different viewpoint of types of delay cause can lead to a dispute which may lead to other delays and losses, and thus it is meaningful to understand the types of delay perceived from owner and contractor. Even though the delay cause and types are different depending on an individual project, the results of this study serve as a reference and would be beneficial for the practitioners in the construction industry to help identify the delay causes to manage them effectively. Ismaila, Usman; Jung, Wooyong; Park, Chan Young KEPCO Int Nucl Grad Sch, Dept Nucl Power Plant Engn, Ulsan 45014, South Korea; Kyungpook Natl Univ, Intelligent Construct Automat Ctr, Daegu 41566, South Korea 57427761500; 36634401400; 57190000674 cul_oma2478@yahoo.com;wooyong@kings.ac.kr;pcy3088@knu.ac.kr; ENERGIES ENERGIES 1996-1073 15 3 SCIE ENERGY & FUELS 2022 3.2 66.8 0.73 2025-06-25 7 9 delay cause; delay types; excusable delay; compensable delay; critical delay; concurrent delay Compensable delay; Concurrent delay; Critical delay; Delay cause; Delay types; Excusable delay Construction industry; Compensable delay; Concurrent delays; Construction projects; Critical delays; Delay cause; Delay type; Excusable delay; Nigerians; Power; Power programs; Contractors English 2022 2022-02 10.3390/en15030814 바로가기 바로가기 바로가기 바로가기
Article Development of Broken Rotor Bar Fault Diagnosis Method with Sum of Weighted Fourier Series Coefficients Square This study proposes a broken rotor bar (BRB) fault diagnosis method for an induction motor using the sum of the weighted Fourier series coefficients squares of a complex current as a diagnosis signal. First, the sum of the squares of the Fourier series coefficients confirms the very narrow band-pass filter characteristics to derive a specific frequency component. This assists us in obtaining a BRB fault diagnosis signal that exists in a limited frequency range. Second, the magnitude of the Fourier series coefficients of the BRB fault signal is proportional to the slip frequency and load condition. A weighting factor is proposed to render the BRB fault signal irrelevant to the slip frequency and load condition. Consequently, the proposed fault diagnosis can be conducted without the slip frequency information or searching for the maximum coefficient component. Finally, the proposed fault diagnosis method is validated through experiments using a 55 kW induction motor with and without a BRB fault. It is implemented with a DSP controller at time intervals of 20, 10, 5, and 4 s for the Fourier series. The proposed diagnosis method performs well under various load conditions and shows that the derived fault signal exhibits a large difference between healthy and BRB faulty induction motors. Gu, Bon-Gwan Kyungpook Natl Univ, Sch Energy Engn, Daegu 41566, South Korea 50061273700 bggu@knu.ac.kr; ENERGIES ENERGIES 1996-1073 15 22 SCIE ENERGY & FUELS 2022 3.2 66.8 0.4 2025-06-25 5 5 induction motor; broken rotor bar (BRB); Fourier series; fault diagnosis; fault analysis INDUCTION; MACHINE broken rotor bar (BRB); fault analysis; fault diagnosis; Fourier series; induction motor Bandpass filters; Fault detection; Fourier series; Induction motors; Broken rotor bar; Broken rotor bar fault; Fault analysis; Fault diagnosis method; Fault signal; Faults diagnosis; Inductions motors; Load condition; Slip frequency; Failure analysis English 2022 2022-11 10.3390/en15228735 바로가기 바로가기 바로가기 바로가기
Article Energy and Exergy Analyses of a Novel Combined Heat and Power System Operated by a Recuperative Organic Rankine Cycle Integrated with a Water Heating System This study reports the thermodynamic analysis of a high-temperature recuperative organic Rankine cycle comprising a water heating system that can provide a net power of 585.7 kW and hot water for domestic use at 35 degrees C. The performance was analysed using seasonal ambient temperature and water temperature data from Seoul, South Korea. The working fluid was separated into two different mass fractions after emerging from the turbine 1 outlet; one fraction provided heat to recuperate the organic Rankine cycle, and the other fraction was transferred to the water heating system for heating water. Mass fractions were balanced based on the projected seasonal need for hot water. Four working fluids with high critical temperatures and five working fluids with low critical temperatures were examined for top and bottom cycles, respectively. Chlorobenzene was selected for the top cycle and R601 was selected for the bottom cycle. The system achievement in individual months was analysed using thermal efficiency and exergy efficiency. Moreover, the performances of the hottest (low hot water demand) and coldest (high hot water demand) months were analysed. Khan, Babras; Kim, Man-Hoe Pusan Natl Univ, Sch Mech Engn, Pusan 46241, South Korea; Kyungpook Natl Univ, Sch Mech Engn & IEDT, Daegu 41566, South Korea 57223392939; 55686310000 manhoe.kim@knu.ac.kr; ENERGIES ENERGIES 1996-1073 15 18 SCIE ENERGY & FUELS 2022 3.2 66.8 0.24 2025-06-25 2 3 exergy efficiency; exergy destruction; water heating system; recuperative ORC; mass fraction THERMODYNAMIC OPTIMIZATION; PERFORMANCE ANALYSIS; WORKING FLUIDS; ORC; DESIGN; RECOVERY; ENGINE exergy destruction; exergy efficiency; mass fraction; recuperative ORC; water heating system Exergy; Fluids; Heating equipment; Hot water distribution systems; Hot working; Temperature; Thermal efficiency; Thermoanalysis; Water; Exergy destructions; Exergy efficiencies; Hot water; Hot water demand; Mass-fraction; Organics; Performance; Recuperative ORC; Water heating systems; Working fluid; Rankine cycle English 2022 2022-09 10.3390/en15186658 바로가기 바로가기 바로가기 바로가기
Article Energy and Exergy Analysis of Solar Organic Rankine Cycle Coupled with Vapor Compression Refrigeration Cycle This study investigates a combined power generation and cooling system comprising an organic Rankine cycle (ORC) and a vapor compression cycle (VCC). Thermodynamic analyses of the system were conducted for two operation modes, i.e., the basic ORC mode and the ORC-VCC mode, using six different working fluids: R245fa, R114, R600, R142b, R152a, and R1234yf. The results showed that the thermal efficiency of the combined ORC-VCC system was almost twice that of the basic ORC system. The effects of thermodynamic parameters, such as the turbine inlet temperature and pressure and the condensing temperature, on the system performance were discussed. The second-law efficiency, cooling capacity, and coefficient of performance were addressed by varying the condensing temperature. Kim, Man-Hoe Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, IEDT, Daegu 41566, South Korea 55686310000 manhoe.kim@knu.ac.kr; ENERGIES ENERGIES 1996-1073 15 15 SCIE ENERGY & FUELS 2022 3.2 66.8 0.88 2025-06-25 11 11 organic Rankine cycle (ORC); vapor compression cycle (VCC); combined ORC-VCC system; thermal efficiency; second-law efficiency; COP PERFORMANCE ANALYSIS; WORKING FLUIDS; ORC-VCC; TEMPERATURE; OPTIMIZATION; POWER; COGENERATION; SELECTION; SYSTEMS combined ORC–VCC system; COP; organic Rankine cycle (ORC); second-law efficiency; thermal efficiency; vapor compression cycle (VCC) Temperature; Thermal efficiency; Thermoanalysis; Combined organic rankine cycle–vapor compression cycle system; COP; Cycle systems; Organic rankine cycle; Organics; Second law efficiencies; Thermal-efficiency; Vapor compression cycle; Vapour compression cycles; Rankine cycle English 2022 2022-08 10.3390/en15155603 바로가기 바로가기 바로가기 바로가기
Article Experimental and Theoretical Study of Surge Behavior in a Boil-Off Gas Centrifugal Compressor on an LNG Carrier In this study, we conducted experiments and numerical analysis on a 270 kW industrial-scale centrifugal compressor used in the fuel supply system of an LNG carrier in order to improve the lumped-parameter surge model by considering the viscosity in the pipeline and to confirm whether the improved model would be applicable. The steady and unsteady compressor performance curves were constructed using measurements and predictions, respectively. The flow through the pipeline was assumed to be both steady and unsteady, and each governing equation under the assumptions was derived in accordance with the lumped-parameter model. In the steady flow case, the surge behavior of the modified model was in a good agreement with the lumped-parameter model at surge parameter B = 4.8716. In the unsteady flow case, however, the modified model showed a deviation from the lumped-parameter model, and the simulation from the modified model described the surge behavior 5% more accurately than the lumped-parameter model. Through experiments and numerical analysis, this study showed that the present models are useful and applicable for describing the surge behavior of an industrial-scale single-stage centrifugal compressor. Lee, Jinkwang; Cheon, Yujin; Choi, Younseok Dong A Univ, Dept Naval Architecture & Offshore Engn, 37 Nakdong Daero 550 Beon Gil, Busan 49315, South Korea; Kyungpook Natl Univ, Dept Chem Sci & Engn, 80 Daehak Ro, Daegu 41566, South Korea; Republ Korea Air Force Acad, Dept Aerosp Engn, 635 Danjae Ro, Cheongju 28187, South Korea Lee, Jinkwang/GOV-6230-2022 57730336600; 26646115400; 37107273700 jklee1@dau.ac.kr;fheod@knu.ac.kr;ys935@kaist.ac.kr; ENERGIES ENERGIES 1996-1073 15 11 SCIE ENERGY & FUELS 2022 3.2 66.8 0 2025-06-25 0 0 surge; industrial-scale centrifugal compressor; lumped-parameter model; Greitzer model AXIAL-FLOW COMPRESSORS; POST-STALL TRANSIENTS; ROTATING STALL; SYSTEMS Greitzer model; industrial-scale centrifugal compressor; lumped-parameter model; surge Centrifugation; Compressibility of gases; Gas compressors; Lumped parameter networks; Numerical analysis; Pipelines; Boil off gas; Fuel supply systems; Greitze model; Industrial scale; Industrial-scale centrifugal compressor; LNG carriers; Lumped parameter modelling; Modified model; Surge; Theoretical study; Centrifugal compressors English 2022 2022-06 10.3390/en15114002 바로가기 바로가기 바로가기 바로가기
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Keywords (SCOPUS) 저자가 논문에서 직접 지정한 키워드입니다. SCOPUS에 등록된 저자 키워드 목록입니다.
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.