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Leonid, Serejkin,Boris, Shifrin,Victor, Perov,Alexandr, Goldin International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.12
Renewable energy sources based on solar radiation, wind energy, geothermal energy, and biomass energy have now reached the level of industrial application. A new way to generate electricity using low-potential heat is to install a hydro-steam turbine. In hydro-steam turbines, hot water is supplied directly to turbine rotor nozzles without prior separation into steam and water in separators, which significantly increases the efficiency of hot water energy use. Such turbines are suggested to be used as autonomous energy sources in geothermal heating systems, heating water boilers and cooling systems of chemical reactors, metallurgical furnaces, etc. The authors conclude that the installation of hydro-steam turbines in heating plants and process boiler plants can also be effective if the used exhaust steam-water mixture at the turbine outlet is used to heat the network water or as return water.
( Kimgracehyun,),( Stephan Weigt,),( John Belperio,),( Yushi,),( Matthew Brown,),( Joanthan Goldin ) 대한결핵 및 호흡기학회 2018 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.126 No.-
Objective: High resolution computed tomography (HRCT) plays an indispensable role in the diagnosis of Idiopathic Pulmonary Fibrosis (IPF). Due to unpredictability in progression and the short median survival of 2-5 years, it is critical to delineate the patients with rapid progression. The aim is to evaluate the predictability of progression in IPF using the early quantitative changes. Methods: Automated texture-based quantitative lung fibrosis (QLF) scores were calculated from the anonymized HRCT scans. Two types of data were collected retrospectively: (1) a pilot study of 35 subjects with three sequential scans (baseline, 6 and 12 month scans) to obtain a threshold where visual assessments were stable at 6 months but worse at 12 months; (2) 157 independent subjects to test the threshold. Landmark log-rank tests and Cox regressions were used to compare progression free survival (PFS) with early changes in QLF. Results: Using 4% QLF changes, corresponding to the mean changes at 6 months with worsening group at 12 months from the pilot study, significant differences progression were found in progression (p<0.001). Median PFS was 11.9 months for 4% changes, and was greater than 18 months for <4% changes. Conclusion: Early structural changes on HRCT using a quantitative score can predict progression in lung function.
Use of Computational Fluid Dynamics for the Design and Analysis of Gas Turbine Combustors
Niveditha Krishnamoorthy,Piyush Thakre,Yongzhe Zhang,Richard Clayton,Graham Goldin,Rajesh Rawat 한국추진공학회 2015 한국추진공학회 학술대회논문집 Vol.2015 No.11
The use of computational fluid dynamics (CFD) for the design and analysis of the flow and combustion in gas turbine combustors is considered to be a cost effective alternative to time-consuming and expensive design of experiments studies. With stringent emission regulations being enforced for these combustion systems, efforts towards optimization of the combustor geometry, and its operating conditions to minimize fuel consumption, emissions, and cost are also being undertaken using CFD. Reacting flow modeling in gas turbine combustors is a multi-scale, multi-physics process which requires an adequate representation of the flow, chemistry, and heat transfer mechanisms taking place in these systems. The models/approximations used in simulating gas turbine combustors directly influence the predictive capability of the simulations. In this study, the commercial software STAR-CCM+ is used model all the processes taking place in a gas turbine combustor. STAR-CCM+ solves the Navier-Stokes equation using the finite volume formulation. The choice to represent the combustion chemistry via global reactions, tabulated methodology, or detailed kinetic modeling is available for premixed, non-premixed and partially premixed combustion regimes. The combustion model selection is typically driven by the intended purpose of the simulation. Radiative heat transfer is modeled using the discrete ordinates methodology. In order to study the mechanical durability of various components in these systems, a full conjugate heat transfer (CHT) analysis is also performed where, the liner and other solids are explicitly modeled in the fully-coupled simulation. In this investigation, both the Reynolds Averaged Simulation (RANS) methodology and the Large-Eddy Simulation (LES) methodology are explored and the results are summarized.
( Ju Hyun Oh ),( Grace Hyun J. Kim ),( Jonathan G Goldin ),( Jooae Choe ),( Jin Woo Song ) 대한결핵 및 호흡기학회 2021 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.129 No.-
Background Interstitial lung abnormality (ILA) refers to incidental findings of parenchymal abnormalities suggestive of early interstitial lung disease (ILD) affecting >5% of lungs on CT scan. We aimed to determine the prevalence and progression rate of ILA evaluated by automated quantification system (AQS). Methods A total of 2890 subjects (mean age: 49 years, male: 79.4%), who participated in a health screening program, and had serial chest CT images (median interval: 6.5 years), were included. The quantitative lung fibrosis (QLF) and quantitative ILD (QILD, sum of QLF, honeycombing and ground glass opacity) were measured by AQS. ILA was defined as QILD ≥5 and QLF ≥3, and progression as an increase in QLF changes compared to baseline CT images. Results In the baseline scan, ILA was identified in 251 participants (8.6%). Those with ILA showed older age, higher body mass index (BMI), and low-density lipoprotein level than those without. The prevalence of ILA increased from 2.9% to 19.2% with age (Figure 1a). During follow-up, 21.1% (53/251) of participants initially identified with ILA progressed, while improvement or no change was noted in 78.9%. ILA was identified in 13.4% (387/2890) in follow-up CT images. Those who newly developed ILA were 11% (290/2639) of those who didn’t have ILA on initial CT images. Older age (HR: 1.026, 95% CI: 1.011-1.041) and higher BMI (HR: 1.056, 95%CI: 1.008-1.107) were independent risk factors for ILA development. When comparing the degree of QLF increase, the ILA group on the initial CT images showed a larger increase than the no-ILA group (Figure 1b). Conclusions ILA was not uncommon in the Korean population, with an increased prevalence in the group of subjects followed for 6.5-years. Progression was noted in 21.1% of the initially identified ILA cohort. Older age and higher BMI were risk factors for ILA development.
( Ju Hyun Oh ),( Grace Hyun J. Kim ),( David W Dai ),( S Sam Weigt ),( Jonathan G Goldin ),( Lila Pourzand ),( Jooae Choe ),( Fereidoun Abtin ),( Matthew S. Brown ),( Pangyu Teng ),( Jin Woo Song ) 대한결핵 및 호흡기학회 2021 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.129 No.-
Background Interstitial lung disease (ILD) includes a heterogeneous group of disease entities. Idiopathic pulmonary fibrosis (IPF) is ultimately fatal, and accurate diagnosis of IPF is critical to clinical decision making. Visual interpretation of chest high resolution CT (HRCT) is subjective and has limited reproducibility, especially with early disease. So we have previously developed attention-gated deep learning algorithm to diagnosis IPF and machine learning to predict IPF progression. The overall aim of IS-IPF is to collect the data from two centers of excellence and evaluate the robustness of the algorithm. We present the preliminary data of the patients studied following disease classification by the multidisciplinary review committees (MDCs) at UCLA and Asan Medical Center (AMC). Methods The IS-IPF study plans to include 234 IPF and 266 non-IPF cases from two large ILD centers (UCLA and AMC). Eligible patients were evaluated in ILD MDC, were >18 years old, had a HRCT, pulmonary function testing, and a committee diagnosis of IPF or non-IPF. Relevant demographic information was collected from the medical record. Results Total 185 IPF and 266 non-IPF patients’ HRCT images have been collected in the IS-IPF study. By center, 51 IPF and 133 non- IPF patients’ HRCT were collected from UCLA, and 134 IPF and 133 non-IPF patients’ HRCT were collected from AMC. On MDC diagnosis, non-IPF cohorts consisted of 33% hypersensitivity pneumonitis, and 67% other connective tissue disease-ILD. Mean age was 61 years (63 IPF and 58 non-IPF), and 63% were male (82% IPF and 57 % non-IPF). Up to date, the predicted FVC was 74.7% and the predicted DLco was 61.6 % in the IPF cohort. Data collection is on-going. Conclusions These well-characterized cohorts will be used to evaluate HRCT image signatures for distinguishing IPF from other ILD, and predicting patient-specific IPF progression within 2 years of diagnosis.