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2nd DARPA Information Survivability Conference and Exposition (DISCEX II)

作者： Tallet, JO Henning, RR Fox, KL IDEA Project United States Harris' Software Architecture Tools Methods and Technology Team United States Harris Corporation's Government Communications Systems Division United States Information Assurance Center of Excellence United States Harris Engineering Process Group United States IEEE IEEE Computer Society United States

ISBN: (纸本)0769512127

This past October, the Associated Press reported that for over a month hackers effectively penetrated Microsoft's firewall and, potentially, had access to source code for future products. Over the past year, reported commercial espionage has been increasing steadily. These events underscore the necessary for security engineers to define and implement strong information assurance infrastructures. The concept of defense in depth is used to provide sufficient detection and defensive countermeasures to ensure an enterprise's information is protected. Over the past three years, Harris has conducted research leading to the development of an assurance superstructure tool: the Integrated Design Environment for Assurance (IDEA). Building upon concepts developed during the Network Vulnerability Tool (NVT) program, the IDEA program refined the design and provides a comprehensive assurance analysis superstructure. The IDEA program benifited from the NVT architecture to gain greater adaptive capabilities to address the evolving capabilities of external vulnerability assessment and risk management tools. This re-architected solution builds upon lessons learned during the NVT project.

关键词： architecture patterns FuzzyFusion(Tm) data fusion fuzzy information operations information security

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Goal-based operations: An overview

Goal-based operations: An overview

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2007 AIAA InfoTech at Aerospace Conference

作者： Dvorak, Daniel D. Ingham, Michel D. Morris, J. Richard Gersh, John NASA Jet Propulsion Laboratory California Institute of Technology Pasadena CA 91109 United States Applied Physics Laboratory Johns Hopkins University Laurel MD 20723 United States Planning and Execution Systems Section M/S 301-270 United States AIAA United States Flight Software Systems Engineering and Architectures Group M/S 301-225 Planning and Sequencing Systems Group M/S 301-250D System and Information Sciences Group M/S 2-236 United States

ISBN: (纸本)1563478935

Operating robotic space missions via time-based command sequences has become a limiting factor in the exploration, defense, and commercial sectors. Command sequencing was originally designed for comparatively simple and predictable missions, with safe-mode responses for most faults. This approach has been increasingly strained to accommodate today's more complex missions, which require advanced capabilities like autonomous fault diagnosis and response, vehicle mobility with hazard avoidance, opportunistic science observations, etc. Goal-based operation changes the fundamental basis of operations from imperative command sequences to declarative specifications of operational intent, termed goals. Execution based on explicit intent simplifies operator workload by focusing on what to do rather than how to do it. The move toward goal-based operations, which has already begun in some space missions, involves changes and opportunities in several places: operational processes and tools, human interface design, planning and scheduling, control architecture, fault protection, and verification and validation. Further, the need for future interoperation among multiple goal-based systems suggests that attention be given to areas for standardization. This overview paper defines the concept of goal-based operations, reviews a history of steps in this direction, and discusses the areas of change and opportunity through comparison with the prevalent operational paradigm of command sequencing.

关键词： Robotics

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2010年第PART 2期6395 LNCS卷

作者： Petriu, Dorina C. Rouquette, Nicolas Haugen, Øystein Carleton University Department of Systems and Computer Engineering 1125 Colonel By Drive Ottawa ON K1S 5BG Canada Jet Propulsion Laboratory Flight Software Systems Engineering and Architecture Group 4800 Oak Grove Drive Pasadena CA 91109 United States SINTEF IKT Forskningsveien 1 0373 Oslo Norway

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Computational representation for a simulation scenario definition language

Computational representation for a simulation scenario defin...

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AIAA Modeling and Simulation Technologies Conference, 2018

作者： Durak, Umut Jafer, Shafagh Wittman, Rob Mittal, Saurabh Hartmann, Sven Zeigler, Bernard P. Institute of Flight Systems Braunschweig38108 Germany Embry-Riddle Aeronautical University Daytona BeachFL32114-3900 United States The MITRE Corporation McLean VA22102 United States Clausthal University of Technology Clausthal-Zellerfeld38678 Germany RTSync Corp. and Arizona Center for Integrated M&S TucsonAZ85621 United States Flight Dynamics and Simulation Department of Electrical Computer Software and Systems Engineering Department Head Simulation Experimentation and Gaming Architecture Analytics Department Department of Informatics Department of Electrical and Computing Engineering

ISBN: (数字)9781624105289

ISBN: (纸本)9781624105289

The modeling and simulation community in aviation is in search of standardization in simulation scenario definition. While the System Entity Structure (SES) ontology promises an effective formal means of domain modeling, computational representation is still a key challenge to tackle for fostering wide-acceptance and standardization. This paper presents an eXtended Markup Language (XML) based approach. It first gives the relational specification and the schema definition of the SES ontology. Following a layered modeling workflow, it then presents a schema definition for the simulation scenario definition language and exemplifies its utilization. © 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Standardization

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A control architecture for safe human-robotic interactions during lunar surface operations

A control architecture for safe human-robotic interactions d...

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作者： Wagner, David A. Dvorak, Daniel L. Baroff, Lynn E. Bennett, Matthew B. Ingham, Michel D. Mittman, David S. Mishkin, Andrew H. Jet Propulsion Laboratory California Institute of Technology Flight Software Applications and Data Management Group 4800 Oak Grove Dr. Pasadena CA 91109 United States Planning and Execution Systems Section Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Dr. Pasadena CA 91109 United States Jet Propulsion Laboratory California Institute of Technology Mission Systems Concepts Section 4800 Oak Grove Dr. Pasadena CA 91109 United States Jet Propulsion Laboratory California Institute of Technology Flight Software Systems Engineering and Architectures Group 4800 Oak Grove Dr. Pasadena CA 91109 United States Planning Software Systems Group Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Dr. Pasadena CA 91109 United States

ISBN: (纸本)9781563479717

Long duration human-robotic missions to the Moon and beyond will require increased use of automation beyond current Space Shuttle and International Space Station practice. This paper explores the application of a model- and state-based goal-oriented control architecture to solving the problem of coordinating activities between humans and robots to improve the reliability and safety of these interactions. A goal-oriented control system continuously enforces constraints on states of the system to achieve not only control goals, but also to enforce passive constraints, such as safety constraints, on those activities. Copyright © 2009 by the American Institute of Aeronautics and Astronautics, Inc.

关键词： Space shuttles

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Using system entity structures to model the elements of a scenario in a research flight simulator

Using system entity structures to model the elements of a sc...

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AIAA Modeling and Simulation Technologies Conference, 2017

作者： Durak, Umut Pruter, Insa Gerlach, Torsten Jafer, Shafagh Pawletta, Thorsten Hartmann, Sven Institute of Flight Systems Lilienthalplatz 7 Braunschweig38108 Germany Department of Electrical Computer Software and Systems Engineering Embry-Riddle Aeronautical University - Daytona Beach Campus Lehman 343 600 S Clyde Morris Blvd Daytona BeachFL32114-3900 United States Computational Engineering & Automation Research Group University of Wismar PF 1210 WismarD-23952 Germany Department of Informatics Clausthal University of Technnology Julius-Albert-Strasse 4 Clausthal-Zellerfeld38678 Germany

ISBN: (数字)9781624104510

ISBN: (纸本)9781624104510

While any simulation study starts with a scenario, scenario development is usually conducted in an unstructured and ad hoc manner. In order to streamline scenario development, a formal approach is envisioned in the research flight simulator facility of German Aerospace Center (DLR), namely Air Vehicle Simulator (AVES). System Entity Structure (SES) which is a high level ontology that was introduced to specify a set of system structures and parameter settings is proposed as the foundations. The paper outlines a model-based methodology for scenario development. SES is exploited for metamodeling in order to capture all possible elements of a scenario that can be simulated in AVES. Then a scenario modeling methodology is built upon this metamodel. © 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： flight simulators

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Development of an 11 kW Lightweight, High Efficiency Motor Controller for NASA X-57 Distributed Electric Propulsion Using SiC MOSFET Switches

Development of an 11 kW Lightweight, High Efficiency Motor C...

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AIAA/IEEE Electric Aircraft Technologies Symposium (EATS)

作者： Michael Garrett David Avanesian Matthew Granger Susanah Kowalewski John Maroli Wesley Miller Ralph Jansen Peter Kascak Diagnostics and Electromagnetics Branch/ Power Division Power Management and Distribution Branch/ Power Division Flight Software Branch/ Systems Engineering and Architecture Division Avionics Branch NASA Glenn Research Center Cleveland Ohio USA

A light weight, high efficiency, 11 kW motor controller, which includes the controlling processor and a three phase power inverter, has been developed at NASA Glenn Research Center for NASA's experimental all-electric manned aircraft, X-57, DEP high lift system. The high efficiency development was enabled through the use of a processor which implements Matlab/Simulink code for rapid performance optimization for specific motors and by the use of wide bandgap low-loss, low parasitic SiC switches in the power inverter. Due to the high efficiency, the controller is integrated into the high lift nacelle with no disturbance to the outer mold line of the nacelle; no drag-producing heatsinks are required. The controller weighs 1 kg and has demonstrated efficiency exceeding 97%.

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The behavior, constraint, and scenario (BeCoS) tool: A web-based software application for modeling behaviors and scenarios

The behavior, constraint, and scenario (BeCoS) tool: A web-b...

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AIAA Aerospace Sciences Meeting, 2018

作者： Kaderka, Justin D. Rozek, Matthew L. Arballo, John K. Wagner, David A. Ingham, Michel D. System Architectures and Behaviors Group Jet Propulsion Laboratory California Institute of Technology M/S 321-425P PasadenaCA91109 United States Flight System Systems Engineering Group Jet Propulsion Laboratory California Institute of Technology M/S 321-525E PasadenaCA91109 United States Structure of the Universe Group Jet Propulsion Laboratory California Institute of Technology M/S 169-327 PasadenaCA91109 United States System Architectures and Behaviors Group Jet Propulsion Laboratory California Institute of Technology M/S 301-445P PasadenaCA91109 United States Software and Information Systems Engineering Group Jet Propulsion Laboratory California Institute of Technology M/S 321-541 PasadenaCA91109 United States

ISBN: (数字)9781624105241

ISBN: (纸本)9781624105241

The Behavior, Constraint, and Scenario (BeCoS) tool has been developed to allow engineers to specify system and component behaviors. The tool is a web application that is developed in JavaScript and uses the React framework for the user interface and Redux for maintaining application state. The foundation of the tool is its underlying ontology, which expands upon a previously-defined behavior ontology with a scenario ontology. The behavior ontology includes elements like behaving elements, state variables, parameters, and constraints, while the scenario ontology includes core constructs like activities, temporal constraints, and timepoints. BeCoS allows users to easily create behaving elements and to specify their state variables, parameters, state machines, and constraints. BeCoS also allows users to develop temporal constraint networks that specify constraints on component states over time. BeCoS is a prototype tool that has been deployed and tested by systems engineers on the Europa Clipper project, which generated several use cases and helped steer its current developmental effort. By enabling systems engineers to specify behavior in a semantically-rigorous manner, BeCoS is an enabling technology for analyses that previously could not be performed, and when exporting its model to other tools, allows for consistent behavior models to be used. © 2018 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Ontology

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Advances in POST2 End-to-End Descent and Landing Simulation for the ALHAT Project

Advances in POST2 End-to-End Descent and Landing Simulation ...

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作者： Davis, Jody L. Striepe, Scott A. Maddock, Robert W. Hines, Glenn D. Paschall II, Stephen Cohanim, Babak E. Fill, Thomas Johnson, Michael C. Bishop, Robert H. DeMars, Kyle J. Sostaric, Ronald R. Johnson, Andrew E. NASA Langley Research Center Hampton VA 23681 United States Charles Stark Draper Laboratory Cambridge MA 02139 United States University of Texas at Austin Austin TX 78712 United States NASA Johnson Space Center Houston TX 77058 United States Jet Propulsion Laboratory Pasadena CA 91109 United States Atmospheric Flight and Entry Systems Branch MS 489 United States Flight Software Systems Branch MS 472 United States GNC Systems-Mission Design United States Space Systems MS 27 555 Technology Square United States GN and C Systems Division MS 70 United States Aerospace G and C 555 Technology Square MS 70 United States Aerospace Engineering and Engineering Mechanics WRW215FA United States Aerospace Engineering and Engineering Mechanics WRW411C United States Flight Mechanics and Trajectory Design Branch Mailcode EG5 United States Optical Navigation Group-GN and C Section MS 301-121 United States

ISBN: (纸本)9781563479458

Program to Optimize Simulated Trajectories II (POST2) is used as a basis for an end-to- end descent and landing trajectory simulation that is essential in determining design and integration capability and system performance of the lunar descent and landing system and environment models for the Autonomous Landing and Hazard Avoidance Technology (ALHAT) project. The POST2 simulation provides a six degree-of-freedom capability necessary to test, design and operate a descent and landing system for successful lunar landing. This paper presents advances in the development and model-implementation of the POST2 simulation, as well as preliminary system performance analysis, used for the testing and evaluation of ALHAT project system models.

关键词： Degrees of freedom (mechanics)

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An overview of the distributed space exploration simulation (DSES) project

An overview of the distributed space exploration simulation ...

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Spring Simulation Interoperability Workshop 2007, 07 Spring SIW

作者： Crues, Edwin Z. Chung, Victoria I. Blum, Michael G. Bowman, James D. Automation Robotics and Simulation Division Simulation and Graphics Branch NASA Johnson Space Center 2101 NASA Parkway Houston TX 77058 United States Flight Simulation and Software Branch Flight Research Services NASA Langley Research Center 24 West Taylor Street Hampton VA 23681 United States Aviation Systems Division NASA Ames Research Center Aerospace Simulation Operations Branch Moffett Field CA 94035 United States Missile Systems Group Teledyne Brown Engineering 300 Sparkman Drive Huntsville AL 35805 United States United States

ISBN: (纸本)9781604239232

This paper describes the Distributed Space Exploration Simulation (DSES) Project, a research and development collaboration between NASA centers which investigates technologies, and processes related to integrated, distributed simulation of complex space systems in support of NASA's Exploration Initiative. In particular, it describes the three major components of DSES: network infrastructure, software infrastructure and simulation development. With regard to network infrastructure, DSES is developing a Distributed Simulation Network for use by all NASA centers. With regard to software, DSES is developing software models, tools and procedures that streamline distributed simulation development and provide an interoperable infrastructure for agency-wide integrated simulation. Finally, with regard to simulation development, DSES is developing an integrated end-to-end simulation capability to support NASA development of new exploration spacecraft and missions. This paper presents the current status and plans for these three areas, including examples of specific simulations.

关键词： NASA

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