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Verification of Unstructured Grid Adaptation Components

AIAA JOURNAL 2020年第9期58卷 3947-3962页

作者： Galbraith, Marshall C. Caplan, Philip C. Carson, Hugh A. Park, Michael A. Balan, Aravind Anderson, W. Kyle Michal, Todd Krakos, Joshua A. Kamenetskiy, Dmitry S. Loseille, Adrien Alauzet, Frederic Frazza, Loic Barral, Nicolas MIT Dept Aeronaut & Astronaut Cambridge MA 02139 USA NASA Langley Res Ctr Computat AeroSci Branch Hampton VA 23681 USA NASA Langley Res Ctr Hampton VA 23681 USA NASA Computat AeroSci Branch Hampton VA 23681 USA Boeing Res & Technol St Louis MO 63042 USA Boeing Res & Technol Seattle WA 98275 USA Natl Inst Res Comp Sci & Automat Paris Saclay GAMMA3 Team Alan Turing Bldg F-91120 Palaiseau France Sorbonne Univ GAMMA3 Team Pierre & Marie Curie Campus4 Pl Jussieu F-75252 Paris 05 France Imperial Coll London Dept Earth Sci & Engn South Kensington Campus London SW7 2AZ England

Unstructured grid techniques have the potential of minimizing discretization errors for production analysis workflows where the control of errors is critical to obtaining reliable simulation results. Recent progress has matured a number of independent implementations of flow solvers, error estimation methods, and anisotropic grid adaptation mechanics. Here, the interoperability of several separately developed unstructured grid adaptation tools is verified using analytic functions and the Code Comparison Principle. Three analytic functions with different smoothness properties are adapted to show the impact of smoothness on implementation differences. A scalar advection-diffusion problem with an analytic solution that models a boundary layer is adapted to test individual grid adaptation components. While optimal asymptotic error convergence rates are achieved with many grid adaptation tool combinations for the scalar problems, the scalar problems also illustrate known differences in grid adaptation component implementations and a previously unknown interaction between components. Laminar flow over a delta wing is verified with multiple, independent grid adaptation procedures to show consistent convergence to fine-grid forces and pitching moment. These verification efforts form the nucleus of a benchmark to verify the integration of unstructured grad adaptation components and support production analysis workflows.

关键词： Unstructured Grid Boundary Layer Freestream Conditions Delta Wing Advection External Flows Courant Friedrichs Lewy Galerkin Finite Element Method Reynolds Averaged Navier Stokes application programming interface

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Software Framework for Prototyping Embedded Integrated Vehicle Health Management applications

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JOURNAL OF AEROSPACE INFORMATION SYSTEMS 2014年第2期11卷 82-96页

作者： Sreenuch, T. Tsourdos, A. Jennions, I. K. Cranfield Univ Integrated Vehicle Hlth Management Ctr Cranfield MK43 0AL Beds England Cranfield Univ Dept Engn Phys Cranfield MK43 0AL Beds England

Integrated vehicle health management is a major component in a new, future fleet-management paradigm where a conscious effort is made to shift aircraft maintenance from a schedule-based approach to a more proactive and predictive approach (that is, condition-based maintenance). Its goal is to maximize fleet operational availability while minimizing the logistics footprint through monitoring of the deterioration of equipment conditions. A comprehensive integrated vehicle health-management system will be executed in an environment that includes different sensor technologies, multiple information systems, and different data models. Integrated vehicle healthmanagement implementers have to therefore deal with an integration problem that involves different specialized algorithms and embedded hardware platforms. Integrated vehicle health management applications will have common execution logic, and many will share the same data-processing algorithms;hence, development productivity and the quality of integrated vehicle health management applications can be increased through reusable software building blocks and algorithm libraries or, in particular, by using a software development framework. This paper presents an approach to distributed integrated vehicle health management systems that offers reusable software architecture for a class of integrated vehicle health management applications. The focus of this paper deals with an open software framework for development of integrated vehicle health management applications stemming from the open system architecture for a condition-based maintenance specification, which is an architecture-promoting interoperability and a component framework that enables reuse, data-process partitioning, configuration, and rapid prototyping. The framework is developed using Java and Internet communications engines' distributed middleware, and its application is demonstrated through a gearbox health-monitoring system, where the integrated vehicle he

关键词： Data Processing application programming interface Unified Modeling Language Middleware Technology Central Processing Unit Rapid Prototyping Sensor Technology Aircraft Maintenance Information System Metadata

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Serverless Computing for Society 5.0

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IT PROFESSIONAL 2024年第5期26卷 79-84页

作者： Corradi, Antonio Sabbioni, Andrea Univ Bologna Comp Engn I-40136 Bologna Italy Univ Bologna Comp Sci & Engn I-40136 Bologna Italy

The advancement and increasing availability of novel technologies are widely recognized as crucial in building both a more resilient society and a sustainable economy. These technology factors are paving the way to a Society 5.0, where all domains, spanning from economic to technical areas, are encouraged to collaborate in the creation of a more dynamic, reliable, and valuable novel ecosystem. However, the enormous fragmentation in standards and protocols, even worsened by the geographical dispersion of these sources, hinders the integration of typically heterogeneous information data and applications produced by different partners. To solve this problem, new cloud computing models have emerged by proposing abstract interfaces and rapid prototyping of services, to specifically address the intrinsic dynamicity of these environments. In this work, we propose leveraging and evolving serverless cloud computing as support for Society 5.0 service integrations by providing a fast development environment that hides most of the complexities of infrastructure management.

关键词： Protocols Soft Sensors Ecosystems Serverless Computing Rapid Prototyping Security Reliability Sustainable Development Standards Resilience Serverless Computing Cloud Computing Internet Of Things Human Computer Interaction Economic Sustainability Smart City Integration Of Services Society Support Cloud Providers Resilient Societies Novel Ecosystems Start Up Modularity Interoperability application programming interface Triggering Event Specific Implementation Infrastructure Support Cold Start Execution Environment Microservices Execution Of Functions HTTP Requests Business Logic Heterogeneous Data Sources Adaptive Layer Management Layer

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Orymold: ontology based gene expression data integration and analysis tool applied to rice

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BMC BIOINFORMATICS 2009年第1期10卷 1-12页

作者： Mercade, Jaume Espinosa, Antonio Adsuara, Jose-Enrique Adrados, Rosa Segura, Jordi Maes, Tamara Oryzon Genom Barcelona 08028 Spain

Background: Integration and exploration of data obtained from genome wide monitoring technologies has become a major challenge for many bioinformaticists and biologists due to its heterogeneity and high dimensionality. A widely accepted approach to solve these issues has been the creation and use of controlled vocabularies (ontologies). Ontologies allow for the formalization of domain knowledge, which in turn enables generalization in the creation of querying interfaces as well as in the integration of heterogeneous data, providing both human and machine readable interfaces. Results: We designed and implemented a software tool that allows investigators to create their own semantic model of an organism and to use it to dynamically integrate expression data obtained from DNA microarrays and other probe based technologies. The software provides tools to use the semantic model to postulate and validate of hypotheses on the spatial and temporal expression and function of genes. In order to illustrate the software's use and features, we used it to build a semantic model of rice (Oryza sativa) and integrated experimental data into it. Conclusion: In this paper we describe the development and features of a flexible software application for dynamic gene expression data annotation, integration, and exploration called Orymold. Orymold is freely available for non-commercial users from http://***/media/***

关键词： application programming interface Semantic Model Complex Query Insertion Time Joint Photographic Expert Group

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Implementation and Benchmarking of Two-Dimensional Vortex Interactions on a Graphics Processing Unit

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JOURNAL OF AEROSPACE INFORMATION SYSTEMS 2014年第6期11卷 372-385页

作者： Chabalko, Christopher C. Balachandran, Balakumar Univ Maryland College Pk MD 20742 USA

A parallel single-instruction multiple data implementation of a two-level nested loop, which uses shared memory, is implemented via general-purpose computing on a graphics processing unit. The general-purpose computing on a graphics processing unit implementation is compared to MATLAB (R), C, and other implementations of the same algorithm, which are primarily executed on the central processing unit. The general-purpose computing on a graphics processing unit implementation is determined to be decisively faster (80 times) than the fastest single threaded implementation. A linear algebra implementation is determined to consume excessive memory without a corresponding increase in computational performance. Although the speedup is hardware dependent, the general-purpose computing on a graphics processing unit algorithm exploits cache memory in a manner that is severely constrained on conventional multicore central processing units. For this reason, the nested loop described here is a natural fit for the single-instruction multiple data shared memory architecture. Details of the implementation are provided. The algorithm is applied to the simulation of vortex dynamics. In particular, it is applied to simulate the rollup of a vortex filament and carry out an unsteady simulation of a thin plate in ground effect. The cases presented here would be intractable to compute without the acceleration offered by the general-purpose computing on a graphics processing unit.

关键词： Vortex Filaments Graphics Processing Unit application programming interface Central Processing Unit General Purpose Computing Biot Savart Law Smoothed Particle Hydrodynamics Convection Discrete Element Method Vorticity

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A Malware Detection Method Based on Genetic Algorithm Optimized CNN-SENet Network

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IEEE ACCESS 2024年 12卷 160052-160063页

作者： Yang, Zheng Zhu, Hua Li, Zhao Wang, Gang Su, Meng Yunnan Power Grid Co Ltd Elect Power Res Inst Kunming 650200 Peoples R China Kunming Univ Sci & Technol Fac Elect Power Engn Kunming 650500 Peoples R China

In recent years, convolutional neural network (CNN) has achieved great success in the field of network security protection. With the popularization of smart terminals and the gradual increase of power grid informatization and digitization, the protection of power monitoring systems from various cybersecurity threads is a current scientific problem that needs to be solved urgently. To this end, this paper proposes a malware detection method based on genetic algorithm optimization of the CNN-SENet network, which firstly introduces the SENet attention mechanism into the convolutional neural network to enhance the spatial feature extraction capability of the model;then, the application programming interface (API) sequences corresponding to different software behaviors are processed by segmentation and de-duplication, which in turn leads to the sequence feature extraction through the CNN-SENet model;finally, genetic algorithm is used to optimize the hyperparameters of CNN-SENet network to reduce the computational overhead of CNN and to achieve the recognition and classification of different malware at the output layer. The examples under the public dataset containing 8 kinds of malware show that the proposed method is better than the traditional algorithmic model, and can accurately and efficiently achieve malware detection with strong generalization ability.

关键词： application programming interface convolutional neural network convolutional neural network malware detection malware detection network security network security power mobile terminal power mobile terminal SENet attention mechanism SENet attention mechanism SENet attention mechanism

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Modeling Autonomous Systems

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JOURNAL OF AEROSPACE INFORMATION SYSTEMS 2013年第8期10卷 396-412页

作者： Whitsitt, Sean Sprinkle, Jonathan Univ Arizona Tucson AZ 85721 USA

Middleware designed to describe sensing, control, and computational communications of components within unmanned systems enables the creation of clean interfaces between the low-level mechanics of such systems and the higher-level logic designed to control them. This paper presents a modeling environment with a domain-specific ontology for autonomous systems, capable of generating software necessary for intercomputer communications according to existing autonomous systems middleware standards. Metamodels are used to specify the domain-specific modeling language to model the messages used, the interfaces between components, and some of the functionality of the components that transmit and receive messages. The generated code supports the high data rates expected in autonomous systems that use lossy message compression. Tests for the messaging infrastructure are also generated for the messages. Also, using this research, this code generation process can be extended to any component-based platform with a similar ontology. The case study and test environment for the software generated by this project is an autonomous ground vehicle, modeled on a Ford Escape Hybrid and used in laboratory experiments.

关键词： Autonomous Systems Unmanned System Middleware Software Autonomous Ground Vehicle application programming interface Data Structures Generic Modeling Environment Data Buffer Transmission Control Protocol Component Based Design

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A Real-Time Associative Feature-Based Customer Relationship Management and Enterprise Resource Planning Integration Model for Small- and Medium-Sized Enterprises

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JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING 2024年第12期24卷 121004页

作者： Sun, Yiding Li, Xinming Ma, Yongsheng Univ Alberta Dept Mech Engn Edmonton AB T6G 2E1 Canada Southern Univ Sci & Technol Dept Mech & Energy Engn Shenzhen 518055 Peoples R China

Customer relationship management (CRM) and enterprise resource planning (ERP) havebeen extensively discussed in the research literature respectively. However, existingstudies do not reach a complete agreement on the CRM/ERP integration method, especiallyfor small- and medium-sized enterprises (SMEs). Generally, this work proposed a novelmethod for CRM/ERP integration approach via associative feature technology. A newfeature type, Real-time Data Link Board (RDLB), is developed and detailed as a genericinformation carrier solution for multisystem integration between CRM and ERP *** data elements are mapped into such data boards dynamically and synchronizedacross different data sources, structures, and databases. The contribution of this work isto present a well-defined and generically reusable data carrier definition, alongsiderelated methods for ensuring consistent data modeling during the system integrationphase across various digitalization engineering implementation projects. With thisapproach, the consistent management of data integration across intricate systems is achiev-able throughout application lifecycles, supported by the object-oriented software engineer-ing foundation.

关键词： customer relationship management enterprise resource planning small- and medium-sized enterprises associative feature technology application programming interface data-driven engineering engineering informatics information management manufacturing planning model-based systems engineering

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Capability-Enhanced Microscopic Simulation With Real-Time Traffic Signal Control

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2008年第4期9卷 625-632页

作者： Fang, Fang Clara Elefteriadou, Lily Univ Hartford Dept Civil Environm & Biomed Engn Coll Engn Technol & Architecture Hartford CT 06117 USA Univ Florida Transportat Res Ctr Dept Civil & Coastal Engn Gainesville FL 32611 USA

An application programming interface (API) is a feature that is available in some traffic simulation programs to enhance their capabilities by allowing users to customize changes in simulation such as driver behaviors, vehicle characteristics, user-defined control strategies, and advanced Intelligent Transportation Systems (ITS) applications. This paper presents an API in AIMSUN, which is a stochastic and microscopic simulation model, to evaluate a novel real-time signal control technique based on the dynamic programming (DP) algorithm. A transportation network of diamond interchanges is first created and calibrated in the AIMSUN environment. The API, which creates a dynamic in between the DP algorithm and AIMSUN, is then developed and deployed in C++. During simulation runtime, real-time traffic measurements, including vehicle counts and speeds, are provided by detectors in the network and fed into the DP algorithm that subsequently makes a decision on a signal control plan. The signal plan is then transferred back to and implemented in the simulated network, which emulates its actual operation. Extensive simulations have shown that the new signal control technique is superior to other common offline signal optimization tools in terms of handling the demand fluctuations. This paper has demonstrated that the API function is a useful tool to assess new ITS applications that are unavailable in simulation programs.

关键词： Adaptive control adaptive systems application programming interface intelligent systems real time systems simulation traffic control (transportation) transportation

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Introducing HL7 FHIR Genomics Operations: a developer-friendly approach to genomics-EHR integration

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JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION 2023年第3期30卷 485-493页

作者： Dolin, Robert H. Heale, Bret S. E. Alterovitz, Gil Gupta, Rohan Aronson, Justin Boxwala, Aziz Gothi, Shaileshbhai R. Haines, David Hermann, Arthur Hongsermeier, Tonya Husami, Ammar Jones, James Naeymi-Rad, Frank Rapchak, Barbara Ravishankar, Chandan Shalaby, James Terry, May Xie, Ning Zhang, Powell Chamala, Srikar Elimu Informat 1709 Julian Ct El Cerrito CA 94530 USA Humanized Hlth Consulting Salt Lake City UT USA Brigham & Womens Hosp 75 Francis St Boston MA 02115 USA Harvard Med Sch Harvard MIT Div Hlth Sci & Technol Boston MA 02115 USA Shri Mata Vaishno Devi Univ Katra Jammu & Kashmir India Northwestern Univ Chicago IL 60611 USA Univ Florida Dept Pathol Immunol & Lab Med Gainesville FL USA Leap Faith Technol Libertyville IL USA Kaiser Permanente Dept Hlth IT Strategy & Policy Pasadena CA USA Cincinnati Childrens Hosp Med Ctr Div Human Genet Cincinnati OH 45229 USA Univ Cincinnati Coll Med Dept Pediat Cincinnati OH USA Boston Childrens Hosp Computat Hlth Informat Program Boston MA USA MITRE Corp Mclean VA USA Brigham & Womens Hosp Dept Med Biomed Cybernet Lab 75 Francis St Boston MA 02115 USA MIT 77 Massachusetts Ave Cambridge MA 02139 USA Univ Southern Calif Keck Sch Med Dept Pathol Los Angeles CA 90007 USA Childrens Hosp Los Angeles Dept Pathol & Lab Med Los Angeles CA 90027 USA

Objective Enabling clinicians to formulate individualized clinical management strategies from the sea of molecular data remains a fundamentally important but daunting task. Here, we describe efforts towards a new paradigm in genomics-electronic health record (HER) integration, using a standardized suite of FHIR Genomics Operations that encapsulates the complexity of molecular data so that precision medicine solution developers can focus on building applications. Materials and Methods FHIR Genomics Operations essentially "wrap" a genomics data repository, presenting a uniform interface to applications. More importantly, operations encapsulate the complexity of data within a repository and normalize redundant data representations-particularly relevant in genomics, where a tremendous amount of raw data exists in often-complex non-FHIR formats. Results Fifteen FHIR Genomics Operations have been developed, designed to support a wide range of clinical scenarios, such as variant discovery;clinical trial matching;hereditary condition and pharmacogenomic screening;and variant reanalysis. Operations are being matured through the HL7 balloting process, connectathons, pilots, and the HL7 FHIR Accelerator program. Discussion Next-generation sequencing can identify thousands to millions of variants, whose clinical significance can change over time as our knowledge evolves. To manage such a large volume of dynamic and complex data, new models of genomics-EHR integration are needed. Qualitative observations to date suggest that freeing application developers from the need to understand the nuances of genomic data, and instead base applications on standardized APIs can not only accelerate integration but also dramatically expand the applications of Omic data in driving precision care at scale for all.

关键词： clinical genomics application programming interface electronic health record clinical decision support HL7 FHIR

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