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AIAA Aviation Forum

作者： Munafo, Alessandro Panesi, Marco Univ Illinois CHESS Urbana IL 61801 USA Univ Illinois CHESS Dept Aerosp Engn Urbana IL USA

ISBN: (数字)9781624107047

ISBN: (纸本)9781624107047

This work presents plato (PLAsmas in Thermodynamic nOn-equilibrium), a high-fidelity library for the thermodynamics, transport, kinetics, and radiation of equilibrium and non-equilibrium multi-component plasmas. plato is implemented in a modular and extensible fashion using Fortran 2003/2008 and can also be utilized in C and C++ codes. The theoretical framework of the library is based on non-equilibrium kinetic theory for dilute gases. A distinctive feature of plato is the availability of a hierarchy of physico-chemical models of increasing complexity and accuracy, ranging fromlegacymulti-temperature to grouping and/or collisional-radiative models. application examples are presented and discussed to demonstrate the main features and capabilities of the library.

关键词： Thermodynamic Equilibrium application programming interface Kinetic Theory of Gases Thermal Conductivity Thermodynamic Properties Viscosity Thermal Diffusion Electrical Conductivity Reduced Order Modelling Non Equilibrium Plasmas

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Learning Constrained Corner Node Trajectories of a Tether Net System for Space Debris Capture

Learning Constrained Corner Node Trajectories of a Tether Ne...

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AIAA Aviation Forum

作者： Liu, Feng Boonrath, Achira Kumar, Prajit K. Botta, Eleonora M. Chowdhury, Souma SUNNY Buffalo Dept Mech & Aerosp Engn Buffalo NY 14260 USA SUNNY Buffalo Mech & Aerosp Engn Buffalo NY 14260 USA

ISBN: (数字)9781624107047

ISBN: (纸本)9781624107047

The earth's orbit is becoming increasingly crowded with debris that poses significant safety risks to the operation of existing and new spacecraft and satellites. The active tether-net system, which consists of a flexible net with maneuverable corner nodes, launched from a small autonomous spacecraft, is a promising solution to capturing and disposing of such space debris. The requirement of autonomous operation and the need to generalize over debris scenarios in terms of different rotational rates makes the capture process significantly challenging. The space debris could rotate about multiple axes, which along with sensing/estimation and actuation uncertainties, call for a robust, generalizable approach to guiding the net launch and flight one that can guarantee robust capture. This paper proposes a decentralized actuation system combined with reinforcement learning based on prior work in designing and controlling this tether-net system. In this new system, four microsatellites with thrusters act as the corner nodes of the net, and can thus help control the flight of the net after launch. The microsatellites pull the net to complete the task of approaching and capturing the space debris. The proposed method uses a reinforcement learning framework that integrates a proximal policy optimization to find the optimal solution based on the dynamics simulation of the net and the MUs in Vortex Studio. The reinforcement learning framework finds the optimal trajectory that is both energy-efficient and ensures a desired level of capture quality.

关键词： Active Debris Removal Reinforcement Learning Vortices Microsatellite Earth Fuel Consumption Artificial Neural Network Young's Modulus application programming interface Markov Decision Process

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Towards a Framework for Parametric Models and Geometric Sensitivity Computations with SU2 and pyCAPS

Towards a Framework for Parametric Models and Geometric Sens...

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AIAA Aviation Forum

作者： Shen, Yiren Patel, Harsh C. Alonso, Juan J. Galbraith, Marshall C. Stanford Univ Dept Aeronaut & Astronaut Stanford CA 94305 USA MIT Dept Aeronaut & Astronaut Cambridge MA 02139 USA

ISBN: (数字)9781624107047

ISBN: (纸本)9781624107047

Shape design optimization relies on obtaining objective and constraint functional sensitivities to geometric parameters in order to explore the design space effectively. To facilitate computer-aided design (CAD) applications in industry, this study presents a workflow for effectively handling geometric constraints and computing analytic sensitivities. The workflow is capable of computing parametric sensitivities by combines geometric sensitivities obtained using Engineering Sketch Pad with adjoint surface sensitivities from the SU2 adjoint solver through a dot product within the pyCAPS framework. The effectiveness and limitations of this workflow are evaluated through three test cases, including a preliminary demonstration of a shape optimization problem in wing design. The results indicate that the conceptual effectiveness of the proposed workflow, while noting the need for further improvement in the mesh generation routine.

关键词： Computer Aided Design Multidisciplinary Design and Optimization Shape Optimization Computing Rectangular Wing Mesh Generation Proper Orthogonal Decomposition application programming interface Aerodynamic Shape Optimization Angle of Attack

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VisionAPI: An API for Offline and Online Segmentation and Identification of Hand-Sketched Graphical User interfaces 15

VisionAPI: An API for Offline and Online Segmentation and Id...

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15th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS)

作者： Brie, Paul Burny, Nicolas Vanderdonckt, Jean teleportHQ Cluj Napoca Romania Catholic Univ Louvain Louvain Res Inst Management & Org Louvain La Neuve Belgium

ISBN: (纸本)9798400702068

Segmentation and identification of a graphical user interface consist of detecting the location, dimensions, and arrangement of elements of the user interface, such as controls, labels, images, and icons, and recognizing them, respectively. While these problems have been already addressed for a graphical user interface stored in a file and processed offline, it has received less attention for online processing when the interface evolves and is expressed in different formats, such as a whiteboard drawing or a paper sketch. To overcome these limitations, we present VisionAPI, an application programming interface trained for segmenting and identifying elements of a hand-sketched graphical user interface both offline and online using computer vision. For this purpose, we rely on a software architecture based on Resnet101 to extract features and Faster R-CNN to build boundary boxes to obtain an 85% recognition rate for 21 classes of elements found in graphical user interfaces: paragraph, dropdown list, checkbox, radio button, rating, toggle button, text area, date picker, stepper input, slider, video, label, table, list, header, button, image, linebreak, container, link, and text input.

关键词： application programming interface Convolutional Neural Network Edge detection Faster R-CNN Gestural input GUI element GUI layout User interface segmentation Widget identification

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Development of an aerodynamic surrogate model for conceptual supersonic aircraft design based on DLR TAU simulations

Development of an aerodynamic surrogate model for conceptual...

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AIAA Aviation Forum

作者： Schnell, Samuel German Aerosp Ctr DLR Inst Aerodynam & Flow Technol Dept Transport Aircraft D-38106 Braunschweig Lower Saxony Germany

ISBN: (数字)9781624107047

ISBN: (纸本)9781624107047

This paper focuses on drag estimation in cruise flight for civil supersonic aircraft. A comparison of simple conceptual design methods applied to several reference aircraft shows relatively large differences in drag estimation. For this reason, another approach is needed. Therefore, the buildup of an aerodynamic surrogate model based on Reynolds-averaged Navier-Stokes (RANS) simulations is performed. In detail, the process chain including CAD model generation, mesh generation and computational flow simulation (CFD) with the DLR TAU code is described. Furthermore, the integration of the process chain into the DLR "Surrogate Modeling for AeRo Data Toolbox Python Package" (SMARTy) is presented. With the help of SMARTy, an aerodynamic surrogate model is created. In the end, an example optimization is performed and analyzed based on a Concorde-like wing-fuselage geometry.

关键词： Supersonic Transport Aircraft Reduced Order Modelling Aircraft Configurations Reynolds Averaged Navier Stokes CAD model Cruise Flight application programming interface Mesh Generation Aerodynamic Optimization Lift to Drag Ratio

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Insights from Data Analysis of Strategic Conflict Management Simulations for Urban Air Mobility Operations

Insights from Data Analysis of Strategic Conflict Management...

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AIAA Aviation Forum

作者： Moolchandani, Kushal A. Lee, Hanbong Arneson, Heather Cheng, Annie Seah, Chin Guillermo, Levin Univ Space Res Assoc Moffett Field CA 94035 USA NASA Ames Res Ctr Mail Stop 210-6 Moffett Field CA 94035 USA METIS Technol Solut Moffett Field CA 94035 USA

ISBN: (数字)9781624107047

ISBN: (纸本)9781624107047

This paper presents the lessons learned from the data analysis of simulations of Urban Air Mobility (UAM) operations that will be used to provide recommendations for future UAM system architecture and airspace services improvements. In support of the gradual maturation of the UAM industry, NASA has been conducting a series of UAM air traffic simulations. With industry partners for UAM airspace services, NASA recently completed collaborative simulations - collectively referred to as X4 - focusing on strategic conflict management. The architecture of the simulation system includes various software modules that were independently developed and integrated to provide airspace services to UAM operators. A detailed analysis of the data collected during simulations was conducted to support performance assessment of the X4 system architecture. This paper describes the results of the data analysis including metrics such as throughput at various resources, the detection and resolution of simulated demand-capacity imbalances using pre-departure delays, and conformance of operations to their operational intents.

关键词： Data Analysis Advanced Air Mobility Airspace NASA System Architectures Air Traffic Management Air Transportation Unmanned Aircraft System Temporary Flight Restriction application programming interface

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Efficient metadata mining of web-accessible neural morphologies

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PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY 2022年 168卷 94-102页

作者： Akram, Masood A. Ljungquist, Bengt Ascoli, Giorgio A. George Mason Univ Ctr Neural Informat Struct & Plast Volgenau Sch Engn Krasnow Inst Adv Study Fairfax VA 22030 USA George Mason Univ Dept Bioengn Volgenau Sch Engn Fairfax VA 22030 USA

Advancements in neuroscience research have led to steadily accelerating data production and sharing. The online community repository of neural reconstructions *** grew from fewer than 1000 digitally traced neurons in 2006 to more than 140,000 cells today, including glia that now constitute 10.1% of the content. Every reconstruction consists of a detailed 3D representation of branch geometry and connectivity in a standardized format, from which a collection of morphometric features is extracted and stored. Moreover, each entry in the database is accompanied by rich metadata annotation describing the animal subject, anatomy, and experimental details. The rapid expansion of this resource in the past decade was accompanied by a parallel rise in the complexity of the available information, creating both opportunities and challenges for knowledge mining. Here, we introduce a new summary reporting functionality, allowing *** users to efficiently download digests of metadata and morphometrics from multiple groups of similar cells for further analysis. We demonstrate the capabilities of the tool for both glia and neurons and present an illustrative statistical analysis of the resulting data.

关键词： NeuroMorpho Org Digital reconstructions Neuron Glia Morphometry application programming interface Summary reporting

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Design and Implementation of an Online and Cost-Effective Attendance Management System Using Smartphones and Cloud Services 18th

Design and Implementation of an Online and Cost-Effective At...

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18th European-Alliance-for-Innovation (EAI) International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous)

作者： Khan, M. Fahim Ferdous Yamazaki, Taisei Sakamura, Ken Toyo Univ Fac Informat Networking & Design INIAD Tokyo Japan

ISBN: (纸本)9783030948221;9783030948214

Taking attendance in schools is an important daily activity which is directly related to students' academic performance. Traditional roll-call-based or signature-based approaches for attendance keeping are cumbersome, time consuming, and susceptible to manual errors and fraudulent maneuvers. With a view to digitalizing the process of taking and maintaining attendance record, in this paper, we present a distributed approach to attendance management using smartphones and cloud computing web services that offer high degree security and scalability. The main objective in developing the proposed attendance management system has been an implementation that does not rely on any dedicated infrastructure, and hence reduces cost as much as possible, enabling a wide range of organizations regardless of size and budgetary constraints to adopt such a system. It goes without saying that such cost reduction is inherently associated with some trade-offs which are also discussed in the paper.

关键词： Attendance management system Cloud services Identity management application programming interface

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Novel Practices in Software Documentation for Continuous Delivery and Integration Using Feature Toggles 3

Novel Practices in Software Documentation for Continuous Del...

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3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Augustine, Nidhi Prashant Balaji, Banurekha De, Suman Sap Labs India Pvt. Ltd. Erp Cdx Cf Pii Bangalore India Sap Labs India Pvt. Ltd. Erp Dsc Coo Ua Manufacturing Bangalore India Ccds Iit Kharagpur India Cloud Erp Product Management Sap Bangalore India

ISBN: (纸本)9798350319125

In the field of software development, the practice of incremental feature delivery facilitates the implementation of continuous software delivery cycles characterized by a significant degree of flexibility and agility. The acceleration of software documentation distribution for these features can be facilitated through the utilization of feature toggles. In the context of the continuous delivery paradigm, technical writers frequently encounter the challenge of reverting the content associated with a particular feature if it is deemed unsuitable for deployment. The manual technique of rolling back has a propensity for errors and carries a significant likelihood of inadvertently disclosing feature documentation for features that have not been implemented. The primary aim of this work is to examine an implementation technique that facilitates the seamless integration between the feature repository and the documentation tool. This integration addresses two difficulties encountered by technical writers. The visibility of documentation is determined by the status of the feature in the feature repository, hence eliminating the need for manual roll-back. Furthermore, this feature aids technical writers in maintaining consistency inside their writing between present and forthcoming versions. The suggested implementation approach offers a means of communication between the feature repository and the documentation system through the utilization of an application programming interface (API). The documentation delivery procedure for incremental feature delivery is streamlined by utilizing the feature repository as the authoritative source. © 2023 IEEE.

关键词： application programming interface Continuous delivery Continuous integration Documentation Feature repository Automation Feature Toggle SDLC

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Graph-Oriented Modelling of Process Event Activity for the Detection of Malware

Graph-Oriented Modelling of Process Event Activity for the D...

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2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023

作者： Brezinski, Kenneth Ferens, Ken University of Manitoba Dept. Electrical and Computer Engineering Winnipeg Canada

ISBN: (纸本)9798350327595

This paper presents an approach to malware detection using Graph Neural Networks (GNN) to capture the complex relationships and dependencies between different components of an operating system (OS). Traditional methods for malware detection rely on known signatures of malware and may fail to detect new or modified malware variants. GNNs offer a promising solution by analyzing graph-structured data and identifying malicious behavior patterns. Specifically, this paper investigates the use of GNNs for malware detection based on the API call sequences of different event types, including File System, Registry, and File and Thread activity. The paper presents a representative dataset of host process activity of malware collected in a custom sandbox environment, comprising over 239 malware executions with randomly executed benignware samples. The paper then describes the GNN model trained on the dynamic process behavior generated from process execution graphs, with independent models developed based on each category of API events. Finally, the paper presents a trained model that maximizes the generalization performance of the model, demonstrating the applicability of GNNs for malware detection. This paper presents one of the first applications of GNN classification based on process hierarchy during malware execution that includes interaction with benignware as well. © 2023 IEEE.

关键词： application programming interface Artificial Intelligence Graph Neural Networks Malware Detection Operating Systems Security

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