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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 | A Spatial Optimization Approach for Simultaneously Districting Precincts and Locating Polling Places | Voting is the most basic form of political participation. The agencies that are responsible for voting must delineate precincts and designate a polling place for each precinct. This spatial decision-making requires a strategic approach for several reasons. First, changes in the location of polling places induce transportation and search costs from the perspective of voters. Second, improving accessibility to polling places can increase turnout. Third, differences in the population sizes of precincts may produce biased voting results. Spatial optimization approaches can be a strategic method for delimiting precincts and siting polling places. The purpose of this paper is to develop a spatial optimization model, namely, the capacitated double p-median problem with preference (CDPMP-P), which simultaneously delimits boundaries of precincts and selects potential facilities in terms of mixed integer programming (MIP). The CDPMP-P explicitly includes realistic requirements, such as population balance, the spatial continuity of precincts, the preferences of potential facilities where polling places can be installed, and the possibility of allocating multiple polling places in one facility. | Kim, Kamyoung | Kyungpook Natl Univ, Dept Geog Educ, Daegu 41566, South Korea | 16022369700 | kamyoungkim@knu.ac.kr; | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION | ISPRS INT J GEO-INF | 2220-9964 | 9 | 5 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;GEOGRAPHY, PHYSICAL;REMOTE SENSING | 2020 | 2.899 | 45.0 | 0.16 | 2025-06-25 | 5 | 4 | accessibility; population balance; preference; spatial contiguity; double location-allocation process; capacitated double p-median problem with preference (CDPMP-P) | CONTIGUITY; FACILITIES; ALGORITHMS; DISTANCE; TURNOUT | Accessibility; Capacitated double p-median problem with preference (CDPMP-P); Double locationallocation process; Population balance; Preference; Spatial contiguity | English | 2020 | 2020-05 | 10.3390/ijgi9050301 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Missing Data Imputation for Geolocation-based Price Prediction Using KNN MCF Method | Accurate house price forecasts are very important for formulating national economic policies. In this paper, we offer an effective method to predict houses' sale prices. Our algorithm includes one-hot encoding to convert text data into numeric data, feature correlation to select only the most correlated variables, and a technique to overcome the missing data. Our approach is an effective way to handle missing data in large datasets with the K-nearest neighbor algorithm based on the most correlated features (KNN-MCF). As far as we are concerned, there has been no previous research that has focused on important features dealing with missing observations. Compared to the typical machine learning prediction algorithms, the prediction accuracy of the proposed method is 92.01% with the random forest algorithm, which is more efficient than the other methods. | Sanjar, Karshiev; Bekhzod, Olimov; Kim, Jaesoo; Paul, Anand; Kim, Jeonghong | Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea | Kim, Jaesoo/GYQ-9324-2022; Olimov, Bekhzod/AAA-9362-2021; Paul, Anand/V-6724-2017 | 57210910507; 57220579660; 57191684854; 56650522400; 55138548100 | sanikarshiev@gmail.com;bekhzod.olimov@gmail.com;kjs@knu.ac.kr;paul.editor@gmail.com;jhk@knu.ac.kr; | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION | ISPRS INT J GEO-INF | 2220-9964 | 9 | 4 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;GEOGRAPHY, PHYSICAL;REMOTE SENSING | 2020 | 2.899 | 45.0 | 1.92 | 2025-06-25 | 33 | 46 | house price prediction; handling missing data; random forest | SELECTION | Handling missing data; House price prediction; Random forest | English | 2020 | 2020-04 | 10.3390/ijgi9040227 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article; Proceedings Paper | A Note on Weakly S-Noetherian Rings | Let R be a commutative ring with identity and S a (not necessarily saturated) multiplicative subset of R. We call the ring R to be a weakly S-Noetherian ring if every S-finite proper ideal of R is an S-Noetherian R-module. In this article, we study some properties of weakly S-Noetherian rings. In particular, we give some conditions for the Nagata's idealization and the amalgamated algebra to be weakly S-Noetherian rings. | Kim, Dong Kyu; Lim, Jung Wook | Kyungpook Natl Univ, Coll Nat Sci, Dept Math, Daegu 41566, South Korea | 57211492493; 35766755400 | dongkyu0397@gmail.com;jwlim@knu.ac.kr; | SYMMETRY-BASEL | SYMMETRY-BASEL | 2073-8994 | 12 | 3 | SCIE | MULTIDISCIPLINARY SCIENCES | 2020 | 2.713 | 45.1 | 0.38 | 2025-06-25 | 3 | 3 | S-finite; weakly S-Noetherian ring; S-Noetherian module; Nagata's idealization; amalgamated algebra along an ideal | AMALGAMATED DUPLICATION; IDEAL | Amalgamated algebra along an ideal; Nagata's idealization; S-finite; S-Noetherian module; Weakly S-Noetherian ring | English | 2020 | 2020-03 | 10.3390/sym12030419 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | A Simple and Sustainable Prediction Method of Liquefaction-Induced Settlement at Pohang Using an Artificial Neural Network | Conventionally, liquefaction-induced settlements have been predicted through numerical or analytical methods. In this study, a machine learning approach for predicting the liquefaction-induced settlement at Pohang was investigated. In particular, we examined the potential of an artificial neural network (ANN) algorithm to predict the earthquake-induced settlement at Pohang on the basis of standard penetration test (SPT) data. The performance of two ANN models for settlement prediction was studied and compared in terms of the R-2 correlation. Model 1 (input parameters: unit weight, corrected SPT blow count, and cyclic stress ratio (CSR)) showed higher prediction accuracy than model 2 (input parameters: depth of the soil layer, corrected SPT blow count, and the CSR), and the difference in the R2 correlation between the models was about 0.12. Subsequently, an optimal ANN model was used to develop a simple predictive model equation, which was implemented using a matrix formulation. Finally, the liquefaction-induced settlement chart based on the predictive model equation was proposed, and the applicability of the chart was verified by comparing it with the interferometric synthetic aperture radar (InSAR) image. | Park, Sung-Sik; Ogunjinmi, Peter D.; Woo, Seung-Wook; Lee, Dong-Eun | Kyungpook Natl Univ, Dept Civil Engn, 80 Daehakro, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Architectural Engn, 80 Daehakro, Daegu 41566, South Korea | ; Ogunjinmi, Peter/IWL-9239-2023 | 36241850300; 57217171969; 57212917862; 56605563300 | sungpark@knu.ac.kr;ogunjinmipeter@gmail.com;geowsw@knu.ac.kr;dolee@knu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 12 | 10 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2020 | 3.251 | 45.1 | 0.71 | 2025-06-25 | 14 | 18 | settlement; artificial neural network; liquefaction | DEFORMATIONS; KOREA | Artificial neural network; Liquefaction; Settlement | North Kyongsang; Pohang; South Korea; accuracy assessment; artificial neural network; earthquake; interferometry; liquefaction; numerical model; performance assessment; soil horizon; sustainability; synthetic aperture radar | English | 2020 | 2020-05 | 10.3390/su12104001 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | An Assessment of Environmental Impacts on the Ecosystem Services: Study on the Bagmati Basin of Nepal | The upsurges in population, internal migration, and various development works have caused significant land use and land cover (LULC) changes in the Bagmati Basin of Nepal. The effects of climate change such as increased precipitation and temperature are affecting the provision of ecosystem services (ES). In this regard, this study particularly treated water yield (WY), soil loss, nitrogen export, and carbon fluctuation in the basin. Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) tools were used to carry out a comparative analysis of ES based on LULC data for 2000 and 2010 and corresponding climate data. To analyze the future period (2010-2099), we have used climate data from the multi-model ensemble (MME) of statistically downscaled and bias-corrected 12 best global climate models (GCMs). A raw GCM analysis (based on historical observational data) from 29 GCMs was done first. The results shows with a subsequent degradation of ES providers like forests and an increment in agricultural and urban areas, ES are on a verge of degradation. Furthermore, a projection of future climate patterns depicts increased precipitation and temperature. Thus, urgent measures are required for the sustainable provision of ES. Outcomes of the study are expected to help in the incorporation of ES in development policies promoting low-impact development along with maintaining ecological and economic goals. The study closes by presenting a recommendation for model application and future study needs. | Bastola, Shiksha; Lee, Sanghyup; Shin, Yongchul; Jung, Younghun | Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, 2559 Gyeongsangdaero, Sangju 37224, South Korea; Kyungpook Natl Univ, Sch Agr Civil & Bioind Engn, 80 Daehak Ro, Daegu 41566, South Korea | 57202955572; 57839879500; 55659438100; 55195880200 | shikshyabastola@knu.ac.kr;niy1219@knu.ac.kr;ycshin@knu.ac.kr;y.jung@knu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 12 | 19 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2020 | 3.251 | 45.1 | 0.64 | 2025-06-25 | 12 | 13 | ecosystem services; land use; climate change; GCMs; Bagmati Basin; Nepal | SOIL-EROSION; LAND; WATER | Bagmati basin; Climate change; Ecosystem services; GCMs; Land use; Nepal | Bagmati Basin; Nepal; climate change; ecosystem service; environmental impact assessment; global climate; land cover; land use; precipitation (climatology); spatiotemporal analysis; urban area | English | 2020 | 2020-10 | 10.3390/su12198186 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Analysis of Flood-Vulnerable Areas for Disaster Planning Considering Demographic Changes in South Korea | Regional demographic changes are important regional characteristics that need to be considered for the establishment of disaster prevention policies against climate change worldwide. In this study, we propose urban disaster prevention plans based on the classification and characterization of flood vulnerable areas reflecting demographic changes. Data on the property damage, casualties, and flooded area between 2009 and 2018 in 229 municipalities in South Korea were collected and analyzed, and 74 flood vulnerable areas were selected. The demographic change in the selected areas from 2000 to 2018 was examined through comparative analyses of the population size, rate of population change, and population change proportion by age group and gender. Flood vulnerable areas were categorized into three types through K-mean cluster analysis. Based on the analysis results, a strategic plan was proposed to provide information necessary for establishing regional flood-countermeasure policies. | Lee, Hye-Kyoung; Bae, Young-Hoon; Son, Jong-Yeong; Hong, Won-Hwa | Kyungpook Natl Univ, Sch Architectural Civil Environm & Energy Engn, Daegu 41566, South Korea | 57209320452; 57217673662; 57216338373; 7401527968 | trot36@hanmail.net;byh0105@gmail.com;ssonjy2239@gmail.com;hongwh@knu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 12 | 11 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2020 | 3.251 | 45.1 | 0.36 | 2025-06-25 | 5 | 7 | urban disaster prevention plan; flood vulnerability; climate change; demographic change; cluster analysis | RISK; MITIGATION; INSURANCE | Climate change; Cluster analysis; Demographic change; Flood vulnerability; Urban disaster prevention plan | South Korea; climate change; cluster analysis; comparative study; demography; disaster management; flood; population size; urban planning; vulnerability | English | 2020 | 2020-06 | 10.3390/su12114727 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Analysis of Musculoskeletal Disorders and Muscle Stresses on Construction Workers' Awkward Postures Using Simulation | The negligence involved in musculoskeletal disorder (MSD) at construction sites results in high rates of muscle injuries. This paper presents findings identified by the MSD for each part of a worker's body, categorizing the awkward postures of each body part, estimating muscle stresses, and establishing the benchmark using anthropometry and hand force data. MSDs and their corresponding frequencies were identified by administering the Nordic Musculoskeletal Questionnaire (NMQ) survey, which solicits responses regarding construction workers' awkward postures. Musculoskeletal stresses were estimated using three-dimensional static strength prediction program (3D SSPP) biomechanical software. The new benchmarks were established for existing preventive measures using the anthropometry and hand force data. Workers suffering from different body muscle pains in awkward postures may be predicted using the compression forces magnitude, strength capability, and body balance. The model was verified by comparing its outputs with the survey analysis results. The study is of value to practitioners because it provided a means to understand the contemporary scenario of MSD and to establish a practical benchmark based on the physical capability of workers. It is relevant to researchers because it digitally predicts MSD and facilitates experimentation with different dimensions, thereby contributing to construction productivity improvement. Test cases validate the prediction method. | Palikhe, Shraddha; Yirong, Mi; Choi, Byoung Yoon; Lee, Dong-Eun | Kyungpook Natl Univ, Intelligent Construct Automat Ctr, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Architecture Civil Environm & Energy Engn, Daegu 41566, South Korea | Palikhe, Shraddha/JXL-4520-2024 | 57190276085; 57218325673; 57218326140; 56605563300 | arpsharu@gmail.com;miyirong@knu.ac.kr;jr1381@knu.ac.kr;dolee@knu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 12 | 14 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2020 | 3.251 | 45.1 | 1 | 2025-06-25 | 20 | 27 | musculoskeletal disorders; construction workers; muscle stress; standard Nordic questionnaire; awkward posture; simulation | Awkward posture; Construction workers; Muscle stress; Musculoskeletal disorders; Simulation; Standard Nordic questionnaire | body condition; muscle; occupational exposure; posture; simulation | English | 2020 | 2020-07 | 10.3390/su12145693 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Between the Ideal and Reality of City Resizing Policy: Focused on 25 Cases of Compact City Plans in Japan | Since 2014, Japan has implemented a policy for forming a compact urban structure at a national level through an urban planning technique called a location normalization plan. A residence-induced zone included in the location normalization plan is considered as the essence of forming a compact urban structure and can be characterized as a policy that compactifies cities for a long period not only by inducing residence functions into the inside of the zones but also by applying regulations to the outside of the zones. This study examined the status of the dichotomous compact city policy applied in reality by analyzing various cases in Japan that established location normalization plans, and its implications. The conditions commonly observed in the induced zone in model cities indicated that the validity of residence-induced zones-how and where residence-induced zones had to be designated-was prioritized in many cases. Some cities, however, designated independent zones that maintained a certain level of residential functions outside the induced zones. Utilizing independent zones in non-induced zones can be assessed not as an act of simply dividing cities by a dichotomous way but as an attempt to reflect the situations and characteristics of individual cities. | Yoon, Cheol-Jae | Kyungpook Natl Univ, Sch Architecture, Daegu 41566, South Korea | 55939098800 | ironash@knu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 12 | 3 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2020 | 3.251 | 45.1 | 0.71 | 2025-06-25 | 15 | 16 | compact city policy; urban vitality; shrinking cities; location normalization plan; residence-induced zone; Japan | Compact city policy; Japan; Location normalization plan; Residence-induced zone; Shrinking cities; Urban vitality | Japan; prioritization; regulatory approach; urban planning; urban policy | English | 2020 | 2020-02 | 10.3390/su12030989 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Blockchain-Based Traceability and Visibility for Agricultural Products: A Decentralized Way of Ensuring Food Safety in India | The globalization of the food supply chain industry has significantly emerged today. Due to this, farm-to-fork food safety and quality certification have become very important. Increasing threats to food security and contamination have led to the enormous need for a revolutionary traceability system, an important mechanism for quality control that ensures sufficient food supply chain product safety. In this work, we proposed a blockchain-based solution that removes the need for a secure centralized structure, intermediaries, and exchanges of information, optimizes performance, and complies with a strong level of safety and integrity. Our approach completely relies on the use of smart contracts to monitor and manage all communications and transactions within the supply chain network among all of the stakeholders. Our approach verifies all of the transactions, which are recorded and stored in a centralized interplanetary file system database. It allows a secure and cost-effective supply chain system for the stakeholders. Thus, our proposed model gives a transparent, accurate, and traceable supply chain system. The proposed solution shows a throughput of 161 transactions per second with a convergence time of 4.82 s, and was found effective in the traceability of the agricultural products. | Prashar, Deepak; Jha, Nishant; Jha, Sudan; Lee, Yongju; Joshi, Gyanendra Prasad | Lovely Profess Univ, Dept CSE, Phagwara 144411, Punjab, India; Kyungpook Natl Univ, Sch CSE, Daegu 702701, South Korea; Sejong Univ, Dept CSE, Seoul 05006, South Korea | ; Jha, Sudan/P-9823-2018; Joshi, Gyanendra Prasad/I-3767-2019; Prashar, Deepak/X-6485-2019 | 43661831600; 57216875463; 59307702300; 57207015176; 25927226900 | deepak.prashar@lpu.co.in;nishant.11702196@lpu.co.in;sudhan.25850@lpu.co.in;yongju@knu.ac.kr;joshi@sejong.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 12 | 8 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2020 | 3.251 | 45.1 | 6.76 | 2025-06-25 | 113 | 178 | Ethereum smart contracts; blockchain; traceability; visibility; throughput; supply chain; IPFS | IDENTIFICATION RFID TECHNOLOGY; CONSENSUS; IMPACTS | Blockchain; Ethereum smart contracts; IPFS; Supply chain; Throughput; Traceability; Visibility | India; biosafety; certification; convergence; decentralization; food safety; food security; food supply; globalization; optimization; quality control; stakeholder; supply chain management | English | 2020 | 2020-04 | 10.3390/su12083497 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Review | Concomitant Drug Treatment and Elimination in the RCC-affected Kidneys: Can We Kill Two Birds with One Stone? | Background: The kidneys are vital organs acting as the body's filters that eliminate drugs and other waste products from the body. For effective cancer therapy, a delicate balance is required in the drug treatment and its elimination, which is critical for drug accumulation, toxicity, and kidney malfunction. However, how renal cell carcinoma (RCC) affects the kidneys in safely eliminating the byproducts of drug treatments in patients with severely dysregulated kidney functions had remained elusive. Recent advancements in dose adjustment have added to our understanding regarding how drug treatments could be effectively regulated in aberrant kidney cells, driving safe elimination and reducing drug accumulation and toxicity at the right time and space. Dose adjustment is the only standard systemic way applicable; however, it presents certain limitations. There is significant room for developing new strategies and alternatives to improve it. Objectives: Our analysis of the available treatments in literature discusses the treatment and their safe eliminations. In this study, we give an overview of the measures that could be taken to maintain the elimination gradient of anti-cancer drugs and restore normal kidney function in RCC. Differential therapeutics of RCC/mRCC in various clinical phase trials and the interaction of targeted therapeutics in response to vascular endothelial growth factor (VEGF) were also discussed. Conclusion: Such information might suggest a new direction in controlling treatment with safe elimination through dose adjustment and its associated alternatives in a judicious manner. A strategy to systematically focus on the safe elimination of anti-cancer drugs in RCC strongly needs advocating. | Ahmed, Muhammad Bilal; Ul Islam, Salman; Lee, Young Sup | Kyungpook Natl Univ, Coll Nat Sci, Sch Life Sci, Daegu 41566, South Korea | 58689879600; 56985186700; 36013628200 | yselee@knu.ac.kr; | CURRENT DRUG METABOLISM | CURR DRUG METAB | 1389-2002 | 1875-5453 | 21 | 13 | SCIE | BIOCHEMISTRY & MOLECULAR BIOLOGY;PHARMACOLOGY & PHARMACY | 2020 | 3.731 | 45.1 | 0 | 2025-06-25 | 0 | 0 | Renal cell carcinoma (RCC); drug eliminations; glomerular filtration rate (GFR); pharmacokinetic variability; surgery; dosage adjustments; therapeutic interventions | RENAL-CELL-CARCINOMA; GLOMERULAR-FILTRATION-RATE; DOSE RECOMBINANT INTERLEUKIN-2; ENDOTHELIAL GROWTH-FACTOR; PHASE-II TRIAL; INTERFERON-ALPHA; SUBCUTANEOUS INTERLEUKIN-2; SERUM CREATININE; CANCER-IMMUNOTHERAPY; ANTICANCER AGENTS | Dosage ad-justments; Drug eliminations; Glomerular filtration rate (GFR); Pharmacokinetic variability; Renal cell carcinoma (RCC); Surgery; Therapeutic interventions | Antineoplastic Combined Chemotherapy Protocols; Carcinoma, Renal Cell; Clinical Trials as Topic; Dose-Response Relationship, Drug; Drug Interactions; Glomerular Filtration Rate; Humans; Kidney; Kidney Neoplasms; Molecular Targeted Therapy; Renal Elimination; Renal Insufficiency; Vascular Endothelial Growth Factor A; acyltransferase; alpha interferon; axitinib; bevacizumab; epidermal growth factor receptor; everolimus; fluorouracil; glutathione transferase; interleukin 2; pazopanib; protein tyrosine kinase; sorafenib; sulfotransferase; sunitinib; temsirolimus; vasculotropin; antineoplastic agent; vasculotropin A; VEGFA protein, human; cancer staging; drug accumulation; drug clearance; drug elimination; drug toxicity; estimated glomerular filtration rate; human; immunotherapy; kidney injury; nephrectomy; nephrotoxicity; pharmacokinetic parameters; renal cell carcinoma; Review; von Hippel Lindau disease; clinical trial (topic); complication; dose response; drug interaction; glomerulus filtration rate; kidney; kidney failure; kidney tumor; molecularly targeted therapy; pathology; pathophysiology; physiology; procedures; renal cell carcinoma; urinary excretion | English | 2020 | 2020 | 10.2174/1389200221666201112112707 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Consideration of the Door Opening Process in Pedestrian Flow: Experiments on Door Opening Direction, Door Handle Type, and Limited Visibility | The door is a section prone to bottlenecks and is an important element in the study of pedestrian flow. Therefore, characteristics of doors (e.g., width, location, and the distance between doors) have been taken into consideration in the existing literature related to doors. According to several previous studies, it appears likely that the door opening process (DOP) influences pedestrian flow. However, the number of studies examining the DOP remains small. Therefore, to enhance understanding of pedestrian flow, we examined two door characteristics that could affect the DOP (opening direction (swing door: push or pull) and handle type (knob, lever, and panic bar)) and limited visibility. We conducted a walking experiment to take all variables (10 cases; 10 participants per case) into account. Statistical analysis was performed on the difference in movement times, and the results were as follows: (1) inclusion of the DOP affected pedestrian flow; (2) when visibility was limited, movement times with DOP inclusion increased significantly regardless of the door opening direction and handle type; (3) when the door opening direction was 'push', regardless of limited visibility and door handle type, movement times with DOP inclusion were significantly lower; and (4) the door handle type did not result in any significant difference in movement times with DOP inclusion. In addition, we calculated the delay time based on the experiment results, to include the DOP in pedestrian flow (push 1.96-2.88 s, pull 3.91-4.43 s; limited visibility: push 7.38-12.56 s, and pull 12.88-16.35 s). The results of this study could be used as basic data for the development of codes/regulations, engineering guidance, and egress models for doors. | Son, Jong-Yeong; Bae, Young-Hoon; Kim, Young-Chan; Oh, Ryun-Seok; Hong, Won-Hwa; Choi, Jun-Ho | Kyungpook Natl Univ, Sch Architectural Civil Environm & Energy Engn, Daegu 41566, South Korea; Changshin Univ, Dept Fire & Disaster Prevent Engn, Chang Won 51352, South Korea; Pukyong Natl Univ, Dept Architectural & Fire Protect Engn, Busan 48513, South Korea | 57216338373; 57217673662; 56463201400; 57216343532; 7401527968; 55532956500 | ssonjy2239@gmail.com;byh0105@gmail.com;yyoungchani@gmail.com;kaing367@gmail.com;hongwonhwa@gmail.com;jchoi@pknu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 12 | 20 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2020 | 3.251 | 45.1 | 0.14 | 2025-06-25 | 0 | 2 | door opening process; movement time; opening direction; handle type; limited visibility | EVACUATION; DESIGN; STAIRS; MODEL; BEHAVIORS; CORRIDOR; DYNAMICS; FEATURES; SMOKE; WIDTH | Door opening process; Handle type; Limited visibility; Movement time; Opening direction | experimental study; movement; pedestrian; visibility; walking | English | 2020 | 2020-10 | 10.3390/su12208453 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Determining Extremes for Future Precipitation in South Korea Based on RCP Scenarios Using Non-Parametric SPI | Historical, downscaled and projected data for six cities in South Korea were collected and analyzed using non-parametric Standardized Precipitation Index (SPI) across the Representative Concentration Pathways (RCPs) RCP4.5 and RCP8.5. SPI results were utilized in further analyses: intensity, decadal frequency, and temporal shifts. Non-parametric SPI was used as it produces more reliable results in terms of their statistical, spatial and temporal characteristics. RCP4.5 was taken to represent concentrations under the current emissions trajectory, while RCP8.5 represents the high-end scenario. Findings suggest that extreme precipitation events are more likely to increase in number than extreme drought across all timescales and RCPs. Variability was observed to increase when comparing SPI obtained from actual, measured and gridded precipitation. More extreme droughts are expected under RCP8.5 forcing as are the occurrence of multiyear droughts and extreme wet events relative to RCP4.5. A seasonal shift in extreme precipitation of up to 3 months earlier was observed. Generally, the period between 2080 and 2100 holds the highest probability to host extremely rare and persistent events. | Butu, Hemen Mark; Seo, Yongwon; Huh, Jeung Soo | Kyungpook Natl Univ, Grad Sch, Dept Climate Change, Daegu 41566, South Korea; Yeungnam Univ, Dept Civil Engn, Gyongsan 38541, South Korea | Butu, Hemen/MBH-0863-2025 | 57214246289; 54909395900; 7102258915 | hemenseter@knu.ac.kr;yseo@ynu.ac.kr;jshuh@knu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 12 | 3 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2020 | 3.251 | 45.1 | 0.14 | 2025-06-25 | 3 | 3 | standardized precipitation index; hydrologic extreme; extreme drought; extreme precipitation | CLIMATE-CHANGE; INDEX SPI; DROUGHT; RISK; PATTERNS; SIMULATIONS; VARIABILITY; INCREASE; IMPACTS | Extreme drought; Extreme precipitation; Hydrologic extreme; Standardized precipitation index | South Korea; drought; extreme event; future prospect; index method; parameterization; precipitation (climatology); precipitation assessment; probability; scenario analysis | English | 2020 | 2020-02 | 10.3390/su12030963 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Developing a Landscape Sustainability Assessment Model Using an Analytic Hierarchy Process in Korea | With the increasing interest in integrative sustainable development, there has been a strong need for a landscape sustainability assessment tool independent from the existing green building rating system. This study aimed to establish an assessment model to objectively evaluate landscape sustainability using an analytic hierarchy process (AHP). Through an extensive literature review and expert survey, an initial list of assessment items was derived and used to set up an AHP model. An AHP survey with landscape architects and architects/engineers was then conducted to determine the importance of the assessment factors. In addition, the model was applied to three projects that were previously certified by a green building rating system in Korea. The AHP results showed that "site context" ranked as the most important factor of landscape sustainability followed by "soil and vegetation," "maintenance," "water," "health and wellbeing," and "materials." Among the 20 assessment factors, "monitoring plan" was evaluated as the most important index, followed by "protection of cultural heritage" and "long-term management plan." Landscape architects evaluated "soil and vegetation" as the most important in the assessment, while the engineers/architects group rated "site context" as the most important. When tested by applying them to the previously certified projects, the developed factors provided more objective and detailed information on landscape sustainability. | Lee, Hyung-Sook; Park, Eun-Yeong | Kyungpook Natl Univ, Dept Landscape Architecture, Daegu 41561, South Korea; Joongbu Univ, Dept Environm Landscape Architecture, Geumsan 32713, South Korea | ; Lee, Hyung/HGB-2587-2022 | 35210890100; 56099822100 | soolee@knu.ac.kr;eypark@joongbu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 12 | 1 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2020 | 3.251 | 45.1 | 0.98 | 2025-06-25 | 15 | 20 | landscape sustainability; assessment model; landscape performance; analytic hierarchy process; sustainability rating system | Analytic hierarchy process; Assessment model; Landscape performance; Landscape sustainability; Sustainability rating system | Korea; analytical hierarchy process; assessment method; cultural heritage; integrated approach; landscape; literature review; sustainability | English | 2020 | 2020-01 | 10.3390/su12010301 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | Article | Development and Application of Precast Concrete Double Wall System to Improve Productivity of Retaining Wall Construction | The construction of most apartment underground parking lots utilizes reinforced concrete (RC) structures composed mainly of rebar work and formwork. RC structures lower construction efficiency and significantly delay the construction because they require a large number of temporary materials and wooden formwork. In this study, a precast concrete double wall (PCDW) system was developed to address the existing problems of RC structures and to improve the productivity of retaining wall construction. PCDW is a precast concrete (PC) wall in which two thin concrete panels are connected parallel to each other with truss-shaped reinforcement between them. PCDW can contribute to securing integrity, reducing the delay in construction, and improving quality. An overall process for the member design and construction stage of the PCDW system was proposed, and its improvement effects were examined regarding various aspects in comparison to the RC method. | Kim, Seungho; Lee, Dong-Eun; Kim, Yonggu; Kim, Sangyong | Yeungnam Univ Coll, Dept Architecture, Daegu 42415, South Korea; Kyungpook Natl Univ, Sch Architecture & Civil & Architectural Engn, Daegu 41566, South Korea; Yeungnam Univ, Sch Architecture, Gyongsan 38541, Gyeongbuk, South Korea | kimseungho@ync.ac.kr;dolee@knu.ac.kr;kyg3355@ynu.ac.kr;sangyong@yu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 12 | 8 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2020 | 3.251 | 45.1 | 13 | reinforced concrete; precast concrete double wall; retaining wall; lateral pressure; lateral bending | English | 2020 | 2020-04 | 10.3390/su12083454 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||
| ○ | ○ | Article | Development of a Probabilistic Seismic Performance Assessment Model of Slope Using Machine Learning Methods | The objective of this study is to propose a model that can predict the seismic performance of slope relatively accurately and efficiently by using machine learning methods. Probabilistic seismic fragility analyses of the slope had been carried out in other studies, and a closed-form equation for slope seismic performance was proposed through a multiple linear regression analysis. However, the traditional statistical linear regression analysis showed a limit that could not accurately represent such nonlinear slope seismic performances. To overcome this limit, in this study, we used three machine learning methods (i.e., support vector machine (SVM), artificial neural network (ANN), Gaussian process regression (GPR)) to generate prediction models of the slope seismic performance. The models obtained through the machine learning methods basically showed better performance compared to the models of the traditional statistical methods. The results of the SVM showed no significant performance difference compared with the results of the nonlinear regression analysis method, but the results based on the ANN and GPR showed a remarkable improvement in the prediction performance over the other models. Furthermore, this study confirmed that the GPR-based model predicted relatively accurate seismic performance values compared with the model through the ANN. | Kwag, Shinyoung; Hahm, Daegi; Kim, Minkyu; Eem, Seunghyun | Hanbat Natl Univ, Dept Civil & Environm Engn, Daejeon 34158, South Korea; Korea Atom Energy Res Inst, Mech & Struct Safety Res Div, Daejeon 34057, South Korea; Kyungpook Natl Univ, Sch Convergence & Fus Syst Engn, Gyeongsanbuk Do 37224, South Korea | Eem, Seunghyun/KVB-1493-2024 | 55779491500; 36805245600; 55686383800; 52363442900 | skwag@hanbat.ac.kr;dhahm@kaeri.re.kr;minkyu@kaeri.re.kr;eemsh@knu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 12 | 8 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2020 | 3.251 | 45.1 | 0.56 | 2025-06-25 | 9 | 12 | slope seismic performance; machine learning methods; support vector machine (SVM); artificial neural network (ANN); Gaussian process regression (GPR) | STABILITY; DEFORMATIONS; EARTHQUAKES; STORAGE; DESIGN | Artificial neural network (ANN); Gaussian process regression (GPR); Machine learning methods; Slope seismic performance; Support vector machine (SVM) | artificial neural network; ground penetrating radar; machine learning; model; performance assessment; regression analysis; support vector machine | English | 2020 | 2020-04 | 10.3390/su12083269 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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