检索结果-南通市图书馆

Generalization performance of a deep learning based engine-out emissions model

Energy and AI 2021年第3期5卷 325-329页

作者： Alok Warey Jian Gao ronald o.grover jr. General Motors Global Research and Development 30500 Mound RoadWarrenMI 48090United States

In our previous work[1],an ensemble of Convolutional Neural Network(CNN)models was used to predict engine-out emissions of Carbon Monoxide(Co),Unburned Hydrocarbons(HC)and Smoke directly from in-cylinder con-tours of multiple scalar fields-Equivalence Ratio,Temperature,Velocity and Turbulent Kinetic Energy(TKE)at Exhaust Valve opening(EVo)generated by physics based Computational Fluid Dynamics(CFD)simulations and experimentally measured emissions data.A dataset of 600 CFD generated images,one for each engine operating condition,from a 1.6L light-duty diesel engine was used for training,validation and testing of the CNN ensemble *** this short communication,several modifications were made to the image data generation and training *** ensemble of CNN models was re-trained per the new procedure on the modified image dataset from the 1.6L *** generalization capability of this re-trained deep learning model was investigated by evaluating its prediction performance on a test dataset from a 3.0L diesel engine that was not used previously for training,validation or *** CNN ensemble model re-trained on the 1.6L engine dataset captured the qual-itative trends for all three emissions species on the 3.0L engine test dataset,however,quantitatively its prediction performance was not as *** work with additional engines and input features is planned to improve the generalization performance of the CNN based emissions prediction model.

关键词： performance prediction engine

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Effect of Parallel Computing Environment on the Solution Consistency of CFD Simulations—Focused on IC Engines

引用

Engineering（科研） 2017年第10期9卷 824-847页

作者： Seunghwan Keum ronald o. grover jr. Jian Gao Xiaofeng Yang Tang-Wei Kuo General Motors Research and Development Pontiac MI USA

For CFD results to be useful in IC engine analysis, simulation results should be accurate and consistent. However, with wide spread use of parallel computing nowadays, it has been reported that a model would not give the same results against the same input when the parallel computing environment is changed. The effect of parallel environment on simulation results needs to be carefully investigated and understood. In this paper, the solution inconsistency of parallel CFD simulations is investigated. First, the concept of solution inconsistency on parallel computing is reviewed, followed by a systematic CFD simulations specific to IC engine applications. The solution inconsistency against the number of CPU cores was examined using a commercial CFD code CoNVERGE. A test matrix was specifically designed to examine the core number effect on engine flow, spray and combustion submodels performance. It was found that the flow field simulation during the gas exchange process is the most sensitive to the number of cores among all submodels examined. An engineering solution was developed where local upwind scheme was used to control the variability, which showed good performance. The implication of the observed inconsistency was also discussed.

关键词： Computational Fluid Dynamics Parallel Computing Numerical Error

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Review of X-ray and computed tomography scan findings with a promising role of point of care ultrasound in CoVID-19 pandemic

引用

World Journal of Radiology 2020年第9期12卷 195-203页

作者： Darshan Gandhi Kriti Ahuja Hemal grover Pranav Sharma Shantanu Solanki Nishant Gupta Love Patel Department of Radiology Northwestern Memorial HospitalChicagoIL 60611United States Department of Internal Medicine John H Stroger Jr.Hospital of Cook CountyChicagoIL 60612United States Department of Diagnostic Radiology Icahn School of Medicine at Mount Sinai WestNew YorkNY 10029United States Department of Diagnostic Radiology Vascular and Interventional RadiologyUniversity of Minnesota Medical CenterMinneapolisMN 55455United States Department of Internal Medicine Guthrie Robert Packer HospitalSayrePA 18840United States Department of Radiology Bassett HealthcareCooperstownNY 13326United States Division of Hospital Medicine Abbott Northwestern HospitalAllina HealthMinneapolisMN 55407United States

As healthcare professionals continue to combat the coronavirus disease 2019(CoVID-19)infection worldwide,there is an increasing interest in the role of imaging and the relevance of various *** imaging not only helps assess the disease at the time of diagnosis but also aids evaluation of response to management,it is critical to examine the role of different modalities currently in use,such as baseline X-rays and computed tomography scans *** this article,we will draw attention to the critical findings for the ***,we will look at point of care ultrasound,an increasingly a popular tool in diagnostic medicine,as a component of CoVID-19 management.

关键词： X-ray Computed tomography Point of care ultrasound CoVID-19 Coronavirus Wuhan

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：