检索结果-内蒙古大学图书馆

ADflow: An Open-Source Computational Fluid Dynamics Solver for Aerodynamic and Multidisciplinary Optimization

JOURNAL OF AEROSPACE INFORMATION SYSTEMS 2020年第9期17卷 508-527页

作者： Mader, Charles A. Kenway, Gaetan K. W. Yildirim, Anil Martins, Joaquim R. R. A. Univ Michigan Dept Aerosp Engn Ann Arbor MI 48109 USA

Computational fluid dynamics through the solution of the Navier-Stokes equations with turbulence models has become commonplace. However, simply solving these equations is not sufficient to be able to perform efficient design optimization with a flow solver in the loop. This paper discusses the recommendations for developing a flow solver that is suitable for efficient aerodynamic and multidisciplinary design optimization. One of the major recommendations is to be able to load the flow solver as a library that provides direct memory access to the relevant data. Other recommendations are to use a higher-level language for scripting and to pay special attention to solution warm starting, code efficiency, flow solver robustness, and solution failure handling. As an example of a flow solver that follows these recommendations, the open-source flow solver ADflow is presented. Results from aerodynamic optimization, aerostructural analysis, and aerostructural optimization using ADflow demonstrate the performance advantages claimed in the recommendations. The publication of these recommendations and the availability of the source code open the door for other solvers to adopt the same application programming interface. ADflow is part of a wider aerodynamic shape optimization tool suite that is also available under an open-source license.

关键词： CFD Simulation application programming interface Aerodynamic Shape Optimization Multidisciplinary Design Optimization Turbulence Models Navier Stokes Equations Incompressible Flow Angle of Attack Computing Reynolds Averaged Navier Stokes

来源：评论

学校读者我要写书评

暂无评论

FloodIMG: Flood image DataBase system

引用

DATA IN BRIEF 2023年 48卷 109164页

作者： Karanjit, R. Pally, R. Samadi, S. Clemson Univ Sch Comp Clemson SC USA Clemson Univ Agr Sci Dept Clemson SC 29634 USA

A breakthrough in building models for image processing came with the discovery that a convolutional neural net-work (CNN) can progressively extract higher-level represen-tations of the image content. Having high-resolution images to train CNN models is a key for optimizing the performance of image segmentation models. This paper presents a new dataset-called Flood Image (FloodIMG) database system- that was developed for flood related image processing and segmentation. We developed various Internet of Things Ap-plication programming interfaces (IoT API) to gather flood-related images from Twitter, and US federal agencies' web servers, such as the US Geological Survey (USGS) and the De-partment of Transportation (DOT). Overall, > 9200 images of flooding events were collected, preprocessed, and formatted to make the dataset applicable for CNN training. Bounding boxes and polygon primitives were also labeled on each im-age to localize and classify an object in the image. Two use cases of FloodIMG are presented in this paper, where the Fast Region-based CNN (R-CNN) algorithm was used to estimate flood severity and depth during recent flooding events in the US. As of > 9200 images, 7,400 were categorized as training sets, whereas > 1,800 images were used for the R-CNN test -ing. Users can access the FloodIMG database freely through Kaggle platform to create more accessible, accurate, and op-timized image segmentation models. The FloodIMG workflow concludes with a visualization of colors and labels per im-age that can serve as a benchmark for flood image processing and segmentation.(c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://***/licenses/by/4.0/ )

关键词： application programming interface FloodIMG Flood image segmentation Label detection

来源：评论

学校读者我要写书评

暂无评论

Flexible 3D Model Partitioning System for nD-Based BIM Implementation of Alignment-Based Civil Infrastructure

引用

JOURNAL OF MANAGEMENT IN ENGINEERING 2020年第1期36卷 1-12页

作者： Lee, Seung Soo Kim, Kyung Tae Tanoli, Waqas Arshad Seo, Jong Won Doosan Infracore Heavy Dev Elect & Elect Cntr 489 Hwasu Dong Incheon 22502 South Korea Hanyang Univ Dept Civil & Environm Engn Seoul 04763 South Korea

Three-dimensional (3D) building information modeling (BIM) models of alignment-based civil infrastructures such as roads, railways, and tunnels are built as an integrated surface model for each planned linear segment. In the multidimensional (nD) form of BIM, the model can be linked with information such as quantity, schedule, and cost. Furthermore, even if the nD form of BIM is fulfilled, the design and linked information are changed;subsequently, not only must the BIM model be re-created but each link to the information must be updated. In this study, a system was developed to partition the 3D BIM model according to the level required by the user. A partition interval allows the user to input the start and end points or to set a constant interval unit on the basis of the design baseline. In addition, each segment of the partitioned BIM model can be equipped with information such as earthwork volume (cut and fill), cost, and schedule. Finally, a case study was conducted using a road BIM model to verify the developed system.

关键词： Building information modeling 3D model partitioning system Civil infrastructure Surface model application programming interface

来源：评论

学校读者我要写书评

暂无评论

Learning to recommend third-party library migration opportunities at the API level

引用

APPLIED SOFT COMPUTING 2020年 90卷 106140-000页

作者： Alrubaye, Hussein Mkaouer, Mohamed Wiem Khokhlov, Igor Reznik, Leon Ouni, Ali Mcgoff, Jason Rochester Inst Technol Rochester NY 14623 USA Univ Quebec Ecole Technol Super Quebec City PQ Canada Xerox Corp Rochester NY USA

The manual migration between different third-party libraries represents a challenge for software developers. Developers typically need to explore both libraries application programming interfaces, along with reading their documentation, in order to locate the suitable mappings between replacing and replaced methods. In this paper, we introduce RAPIM, a machine learning model that recommends mappings between methods from two different libraries. Our model learns from previous migrations, manually performed in mined software systems, and extracts a set of features related to the similarity between method signatures and method textual documentations. We evaluate our model using 8 popular migrations, collected from 57,447 open-source Java projects. Results show that RAPIM is able to recommend relevant library API mappings with an average accuracy score of 87%. Finally, we provide the community with an API recommendation web service that could be used to support the migration process. (C) 2020 Elsevier B.V. All rights reserved.

关键词： application programming interface Library migration Machine learning Software quality Mining software repositories

来源：评论

学校读者我要写书评

暂无评论

Enabling Large-scale Multidisciplinary Design Optimization through Adjoint Sensitivity Analysis

Enabling Large-scale Multidisciplinary Design Optimization t...

引用

AIAA Science and Technology (SciTech) Forum and Exposition

作者： Martins, Joaquim R. R. A. Kennedy, Graeme J. Univ Michigan Dept Aerosp Engn Ann Arbor MI 48109 USA Georgia Inst Technol Sch Aerosp Engn Atlanta GA 30332 USA

ISBN: (数字)9781624105784

ISBN: (纸本)9781624105784

This paper is written to honor Rafael T. Haftka's seminal contributions to the field of multidisciplinary design optimization. We focus on those contributions that had a direct impact on our research, namely: the adjoint method for computing derivatives, wing aerostructural design optimization, and architectures for multidisciplinary design optimization. For each of these topics, we describe Haftka's contributions, how they impacted our research, and examples of what they enabled us to do. The overarching theme of the contributions and developments described in this paper is the efficient computation of derivatives, which together with gradient-based optimizers enables the optimization with respect to large numbers of design variables, even when using costly high-fidelity models.

关键词： Multidisciplinary Design Optimization Sensitivity Analysis Computing Structural Finite Elements Structural Optimization Aircraft Configurations application programming interface Blended Wing Body Aerodynamic Loads Structural Analysis

来源：评论

学校读者我要写书评

暂无评论

Cystic Fibrosis Point of Personalized Detection (CFPOPD): An Interactive Web application

引用

JMIR MEDICAL INFORMATICS 2020年第12期8卷 e23530页

作者： Wolfe, Christopher Pestian, Teresa Gecili, Emrah Su, Weiji Keogh, Ruth H. Pestian, John P. Seid, Michael Diggle, Peter J. Ziady, Assem Clancy, John Paul Grossoehme, Daniel H. Szczesniak, Rhonda D. Brokamp, Cole Cincinnati Childrens Hosp Med Ctr Div Biostat & Epidemiol Cincinnati OH 45229 USA Univ Cincinnati Dept Math Sci Cincinnati OH 45229 USA London Sch Hyg & Trop Med Dept Med Stat London England Univ Cincinnati Dept Pediat 3333 Burnet Ave Cincinnati OH 45229 USA Cincinnati Childrens Hosp Med Ctr Div Biomed Informat Cincinnati OH 45229 USA Cincinnati Childrens Hosp Med Ctr Div Pulm Med Cincinnati OH 45229 USA Cincinnati Childrens Hosp Med Ctr James M Anderson Ctr Hlth Syst Excellence Cincinnati OH 45229 USA Univ Lancaster Ctr Hlth Informat Comp & Stat Lancaster Med Sch Lancaster England Hlth Data Res UK London England Cyst Fibrosis Fdn Bethesda MD USA Akron Childrens Hosp Haslinger Family Pediat Palliat Care Ctr Akron OH 44308 USA Akron Childrens Hosp Rebecca D Considine Res Inst Akron OH 44308 USA Akron Childrens Hosp Div Family & Community Med Akron OH 44308 USA

Background: Despite steady gains in life expectancy, individuals with cystic fibrosis (CF) lung disease still experience rapid pulmonary decline throughout their clinical course, which can ultimately end in respiratory failure. Point-of-care tools for accurate and timely information regarding the risk of rapid decline is essential for clinical decision support. Objective: This study aims to translate a novel algorithm for earlier, more accurate prediction of rapid lung function decline in patients with CF into an interactive web based application that can be integrated within electronic health record systems, via collaborative development with clinicians. Methods: Longitudinal clinical history, lung function measurements, and time-invariant characteristics were obtained for 30,879 patients with CF who were followed in the US Cystic Fibrosis Foundation Patient Registry (2003-2015). We iteratively developed the application using the R Shiny framework and by conducting a qualitative study with care provider focus groups (N=17). Results: A clinical conceptual model and 4 themes were identified through coded feedback from application users: (1) ambiguity in rapid decline, (2) clinical utility, (3) clinical significance, and (4) specific suggested revisions. These themes were used to revise our application to the currently released version, available online for exploration. This study has advanced the application's potential prognostic utility for monitoring individuals with CF lung disease. Further application development will incorporate additional clinical characteristics requested by the users and also a more modular layout that can be useful for care provider and family interactions. Conclusions: Our framework for creating an interactive and visual analytics platform enables generalized development of applications to synthesize, model, and translate electronic health data, thereby enhancing clinical decision support and improving care and health outcomes for chronic

关键词： application programming interface chronic disease clinical decision rules clinical decision support medical monitoring

来源：评论

学校读者我要写书评

暂无评论

Internet of Green Things with autonomous wireless wheel robots against green houses and farms

引用

INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 2020年第6期16卷 1-11页

作者： Ram, C. Ramasamy Sankar Ravimaran, S. Krishnan, R. Santhana Julie, E. Golden Robinson, Y. Harold Kumar, Raghvendra Le Hoang Son Pham Huy Thong Nguyen Quang Thanh Ismail, Mahmoud Anna Univ Dept Comp Sci & Engn Tiruchirappalli Tamil Nadu India MAM Coll Engn Tiruchirappalli Tamil Nadu India SCAD Coll Engn & Technol Dept Elect & Commun Engn Tirunelveli India Anna Univ Dept Comp Sci & Engn Tirunelveli India Vellore Inst Technol Sch Informat Technol & Engn Vellore Tamil Nadu India GIET Univ Dept Comp Sci & Engn Gunupur Odisha India Duy Tan Univ Inst Res & Dev Da Nang Vietnam Vietnam Natl Univ VNU Informat Technol Inst Hanoi Vietnam Ton Duc Thang Univ Informetr Res Grp Ho Chi Minh City 70000 Vietnam Ton Duc Thang Univ Fac Informat Technol Ho Chi Minh City Vietnam Dept Informat & Commun Da Nang Vietnam Zagazig Univ Fac Comp & Informat Dept Operat Res Sharqiyah Egypt

Nowadays, smart farming involves the integration of advanced technologies that incorporate low-cost robots to meet the required knowledge and maintain the health of plants in farming. Technologies like precision agriculture are also used to optimize resources based on the field condition. Internet of Green Things is also one of the technologies to integrate and share the information between people and healthy farm things. Internet of Green Things gives the information like soil moisture, temperature, humidity, and nutrient level by means of respective sensors. Monitoring and information gathering in green houses with the help of robots is a tedious and expensive process. In this connection, information is shared among low-cost robots encouraging data availability of the current state of a plant with other robots. This will emphasize the monitoring of green houses in a well-organized way. In this article, a Flask-based framework through Raspberry Pi is proposed for interoperability among the low-cost ESP8266 robots. Data gathering is performed by smart robots that are accessible through Message Queuing Telemetry Transport subscribes by means of Representational State Transfer application programming interface. A cloud-like database server is provided to stock up the data. The integration of robotics with Internet of Green Things gains more advantage in gathering about spatial information data that are connected with the irrigation. Visualization techniques and perspectives based on Internet of Green Things for precision agriculture in the field of farming are highlighted.

关键词： Message Queuing Telemetry Transport ESP8266 Extensible Markup Language JavaScript Object Notation application programming interface Representational State Transfer Internet of Green Things robotics Raspberry Pi NodeMCU gateway

来源：评论

学校读者我要写书评

暂无评论

Mobile Edge Assistance Information for Radio Access Network Optimization 10

Mobile Edge Assistance Information for Radio Access Network ...

引用

10th IFIP International Conference on New Technologies, Mobility and Security (NTMS)

作者： Atanasov, Ivaylo Pencheva, Evelina Asenov, Ivaylo Tech Univ Sofia Fac Telecommun Sofia Bulgaria

ISBN: (纸本)9781728115429

Fifth generation (5G) networks are expected to incorporate more intelligence in order to predict the traffic and mobility patterns and to optimize the performance. Multi-access-Edge Computing may contribute to performance optimization by distributing cloud computing and storage capabilities in the vicinity to end users. In this paper, we propose a new mobile edge service which enables external applications to provide information about foreseen or expected User Equipment (UE) activity and mobility. The applications may gather radio network and location information to calculate UE behavior patterns and to send to the network information that may help to optimize resource management procedures.

关键词： Edge Computing application programming interface Data model State machines

来源：评论

学校读者我要写书评

暂无评论

Visualization Environment for Federated Knowledge Graphs: Development of an Interactive Biomedical Query Language and Web application interface

引用

JMIR MEDICAL INFORMATICS 2020年第11期8卷 e17964页

作者： Cox, Steven Ahalt, Stanley C. Balhoff, James Bizon, Chris Fecho, Karamarie Kebede, Yaphet Morton, Kenneth Tropsha, Alexander Wang, Patrick Xu, Hao Univ N Carolina Renaissance Comp Inst 100 Europa DrSuite 540 Chapel Hill NC 27517 USA CoVar Appl Technol Durham NC USA Univ N Carolina UNC Eshelman Sch Pharm Chapel Hill NC 27517 USA

Background: Efforts are underway to semantically integrate large biomedical knowledge graphs using common upper-level ontologies to federate graph-oriented application programming interfaces (APIs) to the data. However, federation poses several challenges, including query routing to appropriate knowledge sources, generation and evaluation of answer subsets, semantic merger of those answer subsets, and visualization and exploration of results. Objective: We aimed to develop an interactive environment for query, visualization, and deep exploration of federated knowledge graphs. Methods: We developed a biomedical query language and web application interphase-termed as Translator Query Language (TranQL)-to query semantically federated knowledge graphs and explore query results. TranQL uses the Biolink data model as an upper-level biomedical ontology and an API standard that has been adopted by the Biomedical Data Translator Consortium to specify a protocol for expressing a query as a graph of Biolink data elements compiled from statements in the TranQL query language. Queries are mapped to federated knowledge sources, and answers are merged into a knowledge graph, with mappings between the knowledge graph and specific elements of the query. The TranQL interactive web application includes a user interface to support user exploration of the federated knowledge graph. Results: We developed 2 real-world use cases to validate TranQL and address biomedical questions of relevance to translational science. The use cases posed questions that traversed 2 federated Translator API endpoints: Integrated Clinical and Environmental Exposures Service (ICEES) and Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways (ROBOKOP). ICEES provides open access to observational clinical and environmental data, and ROBOKOP provides access to linked biomedical entities, such as "gene," "chemical substance," and "disease," that are derived largely from curated public data sources

关键词： knowledge graphs clinical data biomedical data federation ontologies semantic harmonization visualization application programming interface translational science clinical practice

来源：评论

学校读者我要写书评

暂无评论

Pancreatlas: Applying an Adaptable Framework to Map the Human Pancreas in Health and Disease

引用

PATTERNS 2020年第8期1卷 100120页

作者： Saunders, Diane C. Messmer, James Kusmartseva, Irina Beery, Maria L. Yang, Mingder Atkinson, Mark A. Powers, Alvin C. Cartailler, Jean-Philippe Brissova, Marcela Vanderbilt Univ Med Ctr Dept Med Div Diabet Endocrinol & Metab Nashville TN 37235 USA Univ Florida Coll Med Diabet Inst Dept Pathol Immunol & Lab Med Gainesville FL USA Univ Florida Coll Med Diabet Inst Dept Pediat Gainesville FL USA VA Tennessee Valley Healthcare Syst Nashville TN USA Vanderbilt Univ Dept Mol Physiol & Biophys Nashville TN 37232 USA Vanderbilt Univ Ctr Stem Cell Biol Creat Data Solut Shared Resource 221 Kirkland Hall Nashville TN 37235 USA

Human tissue phenotyping generates complex spatial information from numerous imaging modalities, yet images typically become static figures for publication, and original data and metadata are rarely available. While comprehensive image maps exist for some organs, most resources have limited support for multiplexed imaging or have non-intuitive user interfaces. Therefore, we built a Pancreatlas resource that integrates several technologies into a unique interface, allowing users to access richly annotated web pages, drill down to individual images, and deeply explore data online. The current version of Pancreatlas contains over 800 unique images acquired by whole-slide scanning, confocal microscopy, and imaging mass cytometry, and is available at https://***. To create this human pancreas-specific biological imaging resource, we developed a React-based web application and Python-based application programming interface, collectively called Flexible Framework for Integrating and Navigating Data (FFIND), which can be adapted beyond Pancreatlas to meet countless imaging or other structured data-management needs.

关键词： DSML 3: Development/Pre-production: Data science output has been rolled out/validated across multiple domains/problems application programming interface data integration data publication and archiving human pancreas development imaging databases microscopy open source pancreas imaging software diabetes web resource

来源：评论

学校读者我要写书评

暂无评论

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

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

请选择保存的检索档案：

请选择收藏分类：

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

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

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：