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EDISON 한국과학기술정보연구원(KISTI)의 계산과학플랫폼 EDISON을 활용하여 발표된 논문을 제공합니다.
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[해외논문] Effect of hyperspectral image-based initial conditions on improving short-term algal simulation of hydrodynamic and water quality models

Pyo, JongCheol (Center for Environmental Data Strategy, Korea Environment Institute) , Kwon, Yong Sung (Environmental Impact Assessment, Division of Ecological Assessment, National Institute of Ecology) , Min, Joong-Hyuk (Water Quality Assessment Research Division, National Institute of Environmental Research, Environmental Research Complex) , Nam, Gibeom (Water Quality Assessment Research Division, National Institute of Environmental Research, Environmental Research Complex) , Song, Yong-Sik (GeoSystem Research Corp.) , Ahn, Jung Min (Water Quality Assessment Research Division, National Institute of Environmental Research, Environmental Research Complex) , Park, Sanghyun (Water Quality Assessment Research Division, National Institute of Environmental Research, Environmental Research Complex) , Lee, Jeongwon (School of Civil and Environmental Engineering, Konku) , Cho, Kyung Hwa , Park, Yongeun
Journal of environmental management v.294 ,pp. 112988 , 2021 , 0301-4797 , Elsevier

이 논문은 EDISON을 활용한 연구결과물입니다.
계산과학플랫폼 EDISON을 활용하여 발표된 논문

Abstract Hydrodynamic and water quality modeling have provided valuable simulation results that have enhanced the understanding of the spatial and temporal distribution of algal blooms. Typical model simulations are performed with point-based observational data that are used to configure initial and boundary conditions, and for parameter calibration. However, the application of such conventional modeling approaches is limited due to cost, labor, and time constraints that preclude the retrieval of high-resolution spatial data. Thus, the present study applied fine-resolution algal data to configure the initial conditions of a hydrodynamic and water quality model and compared the accuracy of short-term algal simulations with the results simulated using conventional point-based initial conditions. The environmental fluid dynamics code (EFDC) model was calibrated to simulate Chlorophyll-a (Chl-a) concentrations. Hyperspectral images were used to generate Chl-a maps based on a two-band ratio algorithm for configuring the initial condition of the EFDC model. The model simulation with hyperspectral-based initial conditions returned relatively accurate results for Chl-a, compared to the simulation based on point-based initial conditions. The simulations exhibited percent bias values of 9.93 and 14.23, respectively. Therefore, the results of this study demonstrate how hyperspectral-based initial conditions could improve the reliability of short-term algal bloom simulations in a hydrodynamic model. Highlights A hydrodynamic and water quality model was constructed in weir pools. Hyperspectral map-based initial condition was applied to a 3D numerical modeling. Hyperspectral-applied modeling showed better performance than the conventional one. Hyperspectral application provided improvement of short-term algal bloom simulation. Graphical abstract [DISPLAY OMISSION]

[해외논문] Optimal Length of Heart Rate Variability Data and Forecasting Time for Ventricular Fibrillation Prediction Using Machine Learning

Jeong, Da Un (Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea) , Taye, Getu Tadele (Health Informatics Units, School of Public Health, Mekelle University, Mekelle, Ethiopia) , Hwang, Han-Jeong (Department of Electronics and Information Engineering, Korea University, Sejong, Republic of Korea) , Lim, Ki Moo (Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea)
Computational and mathematical methods in medicine : CMMM v.2021 ,pp. 6663996 , 2021 , 1748-670x , Hindawi

이 논문은 EDISON을 활용한 연구결과물입니다.
계산과학플랫폼 EDISON을 활용하여 발표된 논문

Ventricular fibrillation (VF) is a cardiovascular disease that is one of the major causes of mortality worldwide, according to the World Health Organization. Heart rate variability (HRV) is a biomarker that is used for detecting and predicting life-threatening arrhythmias. Predicting the occurrence of VF in advance is important for saving patients from sudden death. We extracted features from seven HRV data lengths to predict the onset of VF before nine different forecast times and observed the prediction accuracies. By using only five features, an artificial neural network classifier was trained and validated based on 10-fold cross-validation. Maximum prediction accuracies of 88.18% and 88.64% were observed at HRV data lengths of 10 and 20 s, respectively, at a forecast time of 0 s. The worst prediction accuracy was recorded at an HRV data length of 70 s and a forecast time of 80 s. Our results showed that features extracted from HRV signals near the VF onset could yield relatively high VF prediction accuracies.

[해외논문] Influence of Fibrosis Amount and Patterns on Ventricular Arrhythmogenesis and Pumping Efficacy: Computational Study

Heikhmakhtiar, Aulia Khamas (School of Computing, Telkom University , Bandung , Indonesia) , Tekle, Abrha Abebe (Department of IT convergence Engineering, Kumoh National Institute of Technology , Gumi , South Korea) , Lim, Ki Moo (Department of IT convergence Engineering, Kumoh National Institute of Technology , Gumi , South Korea)
Frontiers in physiology v.12 ,pp. 644473 , 2021 , Frontiers Media S.A.

이 논문은 EDISON을 활용한 연구결과물입니다.
계산과학플랫폼 EDISON을 활용하여 발표된 논문

Myocardial fibrosis is an integral component of most forms of heart failure. Clinical and computational studies have reported that spatial fibrosis pattern and fibrosis amount play a significant role in ventricular arrhythmogenicity. This study investigated the effect of the spatial distribution of fibrosis and fibrosis amount on the electrophysiology and mechanical performance of the human ventricles. Seventy-five fibrosis distributions comprising diffuse, patchy, and compact fibrosis types that contain 10–50% fibrosis amount were generated. The spatial fibrosis distribution was quantified using the fibrosis entropy (FE) metric. Electrical simulations under reentry conditions induced using the S1–S2 protocol were conducted to investigate the fibrosis arrhythmogenicity. We also performed mechanical simulations to examine the influence of the fibrosis amount and the spatial distribution of fibrosis on the pumping efficacy of the LV. We observed that the mean FE of the compact type is the largest among the three types. The electrical simulation results revealed that the ventricular arrhythmogenicity of diffuse fibrosis depends on the fibrosis amount and marginally on the spatial distribution of fibrosis. Meanwhile, the ventricular arrhythmogenicity of the compact and patchy fibrosis pattern is more reliant on the spatial distribution of fibrosis than on the fibrosis amount. The average number of phase singularities (PSs) in the compact fibrosis pattern was the highest among the three patterns of fibrosis. The diffuse type of fibrosis has the lowest average number of PSs than that in the patchy and compact fibrosis. The reduction in the stroke volume (SV) showed high influence from the electrical instabilities induced by the fibrosis amount and pattern. The compact fibrosis exhibited the lowest SV among the three patterns except in the 40% fibrosis amount. In conclusion, the fibrosis pattern is as crucial as the fibrosis amount for sustaining and aggravating ventricular arrhythmogenesis.

[해외논문] Identification of Unintended Isolation Segments in Water Distribution Networks Using a Link-by-Link Adjacency Matrix

Jeong, Gimoon (Ph.D. Candidate, Dept. of Civil Engineering, Kyung Hee Univ., 1732 Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 17104, Republic of Korea.) , Lim, Gabyul (Researcher, Smart Water Research Center, K-Water Research Institute, 1689 Yuseong-daero, Yuseong-gu, Daejeon 34045, Republic of Korea.) , Kang, Doosun (Associate Professor, Dept. of Civil Engineering, Kyung Hee Univ., 1732 Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 17104, Republic of Korea (corresponding author).)
Journal of water resources planning and management v.147 no.2 ,pp. 06020013 , 2021 , 0733-9496 , American Society of Civil Engineers

이 논문은 EDISON을 활용한 연구결과물입니다.
계산과학플랫폼 EDISON을 활용하여 발표된 논문
[해외논문] Comparing watershed management strategies at different spatial scales under future climate scenarios using SWAT

Jeong, Heewon , Kim, Bumjo , Kim, Joon Ha , Yi, Sung Ju , Kim, Jong Doo , Ki, Seo Jin
Desalination and water treatment v.219 ,pp. 413 - 422 , 2021 , 1944-3994 , Elsevier

이 논문은 EDISON을 활용한 연구결과물입니다.
계산과학플랫폼 EDISON을 활용하여 발표된 논문
[해외논문] Optimal Design of District Metered Areas in a Water Distribution Network Using Coupled Self-Organizing Map and Community Structure Algorithm

Bui, Xuan Khoa , Marlim, Malvin S. , Kang, Doosun
Water v.13 no.6 ,pp. 836 , 2021 , MDPI AG

이 논문은 EDISON을 활용한 연구결과물입니다.
계산과학플랫폼 EDISON을 활용하여 발표된 논문

Operation and management of a water distribution network (WDN) by district metered areas (DMAs) bring many benefits for water utilities, particularly regarding water loss control and pressure management. However, the optimal design of DMAs in a WDN is a challenging task. This paper proposes an approach for the optimal design of DMAs in the multiple-criteria decision analysis (MCDA) framework based on the outcome of a coupled model comprising a self-organizing map (SOM) and a community structure algorithm (CSA). First, the clustering principle of the SOM algorithm is applied to construct initial homologous clusters in terms of pressure and elevation. CSA is then coupled to refine the SOM-based initial clusters for the automated creation of multiscale and dynamic DMA layouts. Finally, the criteria for quantifying the performance of each DMA layout solution are assessed in the MCDA framework. Verifying the model on a hypothetical network and an actual WDN proved that it could efficiently create homologous and dynamic DMA layouts capable of adapting to water demand variability.

[해외논문] Influence of abnormal water intake linked to underwater aeration on ceramic membrane fouling in a drinking water treatment plant in Yeoncho, Korea

Shin, Jae-Ki , Chon, Kangmin , Lee, Hankyu , Kim, Jin Hwi , Park, Yongeun
Desalination and water treatment v.219 ,pp. 423 - 430 , 2021 , 1944-3994 , Elsevier

이 논문은 EDISON을 활용한 연구결과물입니다.
계산과학플랫폼 EDISON을 활용하여 발표된 논문
[해외논문] Multiple Leak Detection in Water Distribution Networks Following Seismic Damage

Choi, Jeongwook , Jeong, Gimoon , Kang, Doosun
Sustainability v.13 no.15 ,pp. 8306 , 2021 , MDPI AG

이 논문은 EDISON을 활용한 연구결과물입니다.
계산과학플랫폼 EDISON을 활용하여 발표된 논문

Water pipe leaks due to seismic damage are more difficult to detect than bursts, and such leaks, if not repaired in a timely manner, can eventually reduce supply pressure and generate both pollutant penetration risks and economic losses. Therefore, leaks must be promptly identified, and damaged pipes must be replaced or repaired. Leak-detection using equipment in the field is accurate; however, it is a considerably labor-intensive process that necessitates expensive equipment. Therefore, indirect leak detection methods applicable before fieldwork are necessary. In this study, a computer-based, multiple-leak-detection model is developed. The proposed technique uses observational data, such as the pressure and flow rate, in conjunction with an optimization method and hydraulic analysis simulations, to improve detection efficiency (DE) for multiple leaks in the field. A novel approach is proposed, i.e., use of a cascade and iteration search algorithms to effectively detect multiple leaks (with the unknown locations, quantities, and sizes encountered in real-world situations) due to large-scale disasters, such as earthquakes. This method is verified through application to small block-scale water distribution networks (WDNs), and the DE is analyzed. The proposed detection model can be used for efficient leak detection and the repair of WDNs following earthquakes.

[해외논문] Sensitivity Analysis of Ion Channel Conductance on Myocardial Electromechanical Delay: Computational Study

Qauli, Ali Ikhsanul , Marcellinus, Aroli , Lim, Ki Moo
Frontiers in physiology v.12 ,pp. 697693 , 2021 , Frontiers Media S.A.

이 논문은 EDISON을 활용한 연구결과물입니다.
계산과학플랫폼 EDISON을 활용하여 발표된 논문

It is well known that cardiac electromechanical delay (EMD) can cause dyssynchronous heart failure (DHF), a prominent cardiovascular disease (CVD). This work computationally assesses the conductance variation of every ion channel on the cardiac cell to give rise to EMD prolongation. The electrical and mechanical models of human ventricular tissue were simulated, using a population approach with four conductance reductions for each ion channel. Then, EMD was calculated by determining the difference between the onset of action potential and the start of cell shortening. Finally, EMD data were put into the optimized conductance dimensional stacking to show which ion channel has the most influence in elongating the EMD. We found that major ion channels, such as L-type calcium (CaL), slow-delayed rectifier potassium (Ks), rapid-delayed rectifier potassium (Kr), and inward rectifier potassium (K1), can significantly extend the action potential duration (APD) up to 580 ms. Additionally, the maximum intracellular calcium (Cai) concentration is greatly affected by the reduction in channel CaL, Ks, background calcium, and Kr. However, among the aforementioned major ion channels, only the CaL channel can play a superior role in prolonging the EMD up to 83 ms. Furthermore, ventricular cells with long EMD have been shown to inherit insignificant mechanical response (in terms of how strong the tension can grow and how far length shortening can go) compared with that in normal cells. In conclusion, despite all variations in every ion channel conductance, only the CaL channel can play a significant role in extending EMD. In addition, cardiac cells with long EMD tend to have inferior mechanical responses due to a lack of Cai compared with normal conditions, which are highly likely to result in a compromised pump function of the heart.

[해외논문] Optimal Water Quality Sensor Placement by Accounting for Possible Contamination Events in Water Distribution Networks

Marlim, Malvin S. , Kang, Doosun
Water v.13 no.15 ,pp. 1999 , 2021 , MDPI AG

이 논문은 EDISON을 활용한 연구결과물입니다.
계산과학플랫폼 EDISON을 활용하여 발표된 논문

Contamination in water distribution networks (WDNs) can occur at any time and location. One protection measure in WDNs is the placement of water quality sensors (WQSs) to detect contamination and provide information for locating the potential contamination source. The placement of WQSs in WDNs must be optimally planned. Therefore, a robust sensor-placement strategy (SPS) is vital. The SPS should have clear objectives regarding what needs to be achieved by the sensor configuration. Here, the objectives of the SPS were set to cover the contamination event stages of detection, consumption, and source localization. As contamination events occur in any form of intrusion, at any location and time, the objectives had to be tested against many possible scenarios, and they needed to reach a fair value considering all scenarios. In this study, the particle swarm optimization (PSO) algorithm was selected as the optimizer. The SPS was further reinforced using a databasing method to improve its computational efficiency. The performance of the proposed method was examined by comparing it with a benchmark SPS example and applying it to DMA-sized, real WDNs. The proposed optimization approach improved the overall fitness of the configuration by 23.1% and showed a stable placement behavior with the increase in sensors.

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