HPN: IFSS1 Intelligent Flight Support System (IFSS) A Real-Time Intelligent Decision Support Prototype PRESENTER/COTR Anthony Bruins (X37071) HPN Software.

Slides:



Advertisements
Similar presentations
Technical and design issues in implementation Dr. Mohamed Ally Director and Professor Centre for Distance Education Athabasca University Canada New Zealand.
Advertisements

PISA FOR DEVELOPMENT Technical Workshops Components and input for ToR of the International Contractor(s) 9 th April 2014 OECD Secretariat 1.
HP Quality Center Overview.
DESIGN PROCESS OPTIMIZATION INTEGRATION TRADES SIMULATION VISUALIZATION Copyright 2010 Phoenix Integration, Inc. All rights reserved. Grant Soremekun Business.
Visualization Kenny Inthirath.  Reviewing a Suitable Technique to Use  Scope and Purpose  What types of models can be represented?  Architectural.
Chapter 19: Network Management Business Data Communications, 4e.
DECISION-MAKING SYSTEMS Decision Support Software.
Mgt 240 Lecture Decision Support Systems March 3, 2005.
II Information Systems Technology Ross Malaga 8 "Part II Using Information Systems“ Copyright © 2005 Prentice Hall, Inc. 8-1 Using Information Systems.
Automatic Control & Systems Engineering Autonomous Systems Research Mini-UAV for Urban Environments Autonomous Control of Multi-UAV Platforms Future uninhabited.
Copyright 2007 John Wiley & Sons, Inc. Chapter 91 Managerial Support Systems.
Review 4 Chapters 8, 9, 10.
NASA_G_O_02_09_05.ppt 1 National Goals and Objectives National Goal To advance U.S. scientific, security, and economic interests through a robust space.
Principles and Methods
Lecture Nine Database Planning, Design, and Administration
INTRODUCTION. Concepts HCI, CHI Usability User-centered Design (UCD) An approach to design (software, Web, other) that involves the user Interaction Design.
Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, Vol. 2, p.p. 980 – 984, July 2011 Cross Strait Quad-Regional Radio Science.
Call Center – What Really Makes Sense? Call Center – ce este cu adevarat important?
Chapter 2: Business Intelligence Capabilities
Web Design Process CMPT 281. Outline How do we know good sites from bad sites? Web design process Class design exercise.
Integration Of CG & Live-Action For Cinematic Visual Effects by Amarnath Director, Octopus Media School.
What is Business Analysis Planning & Monitoring?
What is Business Intelligence? Business intelligence (BI) –Range of applications, practices, and technologies for the extraction, translation, integration,
V. Chandrasekar (CSU), Mike Daniels (NCAR), Sara Graves (UAH), Branko Kerkez (Michigan), Frank Vernon (USCD) Integrating Real-time Data into the EarthCube.
Enabling Organization-Decision Making
Human-Centered Information Visualization Jiajie Zhang, Kathy Johnson, Jack Smith University of Texas at Houston Jane Malin NASA Johnson Space Center July.
Business Analysis and Essential Competencies
Course Instructor: K ashif I hsan 1. Chapter # 2 Kashif Ihsan, Lecturer CS, MIHE2.
Live Simulations Featuring: FSI: Tranquility Base.
What are the main differences and commonalities between the IS and DA systems? How information is transferred between tasks: (i) IS it may be often achieved.
Module 4: Systems Development Chapter 12: (IS) Project Management.
What is a Business Analyst? A Business Analyst is someone who works as a liaison among stakeholders in order to elicit, analyze, communicate and validate.
Business Process Change and Discrete-Event Simulation: Bridging the Gap Vlatka Hlupic Brunel University Centre for Re-engineering Business Processes (REBUS)
Enterprise Risk Management Chapter One Prepared by: Raval, Fichadia Raval Fichadia John Wiley & Sons, Inc
COBXXXX EXPERIMENTAL FRAMEWORK FOR EVALUATION OF GUIDANCE AND CONTROL ALGORITHMS FOR UAVS Sérgio Ronaldo Barros dos Santos,
McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, All Rights Reserved Chapter 9 Enabling the Organization – Decision Making.
W HAT IS I NTEROPERABILITY ? ( AND HOW DO WE MEASURE IT ?) INSPIRE Conference 2011 Edinburgh, UK.
Knowledge Mobilization: Research Administrators as Brokers in the New Knowledge Systems By Paul J Graham, MLIS Harley D Dickinson, PhD University of Saskatchewan.
Search Engine Optimization © HiTech Institute. All rights reserved. Slide 1 What is Solution Assessment & Validation?
Artificial Intelligence Research Center Pereslavl-Zalessky, Russia Program Systems Institute, RAS.
03/11/021 Spaceport Vision Team Members. 03/11/022 Systems Definition Spaceport System Spaceport Stakeholder Needs High-Level Trade Study Performance.
March 2004 At A Glance NASA’s GSFC GMSEC architecture provides a scalable, extensible ground and flight system approach for future missions. Benefits Simplifies.
Human Computer Interaction
Center for Reflective Community Practice - MIT Critical Moments Reflection Methodology A method for stepping back and draw lessons from the experience.
Evolving a Legacy System Evolution of the Earth Observing Data and Information System M. Esfandiari 1, H. Ramapriyan 1, J. Behnke 1, E. Sofinowski 2 1.
August 2003 At A Glance The IRC is a platform independent, extensible, and adaptive framework that provides robust, interactive, and distributed control.
Chapter 5:User Interface Design Concepts Of UI Interface Model Internal an External Design Evaluation Interaction Information Display Software.
Smart Home Technologies
Automatic Video Editing Stanislav Sumec. Motivation  Multiple source video data – several cameras in the meeting room, several meeting rooms in teleconference,
Pertemuan 16 Materi : Buku Wajib & Sumber Materi :
Boeing-MIT Collaborative Time- Sensitive Targeting Project July 28, 2006 Stacey Scott, M. L. Cummings (PI) Humans and Automation Laboratory
Future Expectations of TEPPC: Products, Users, and Values Maury Galbraith Presentation to TEPPC Review Task Force January 11,
Search Engine Optimization © HiTech Institute. All rights reserved. Slide 1 Click to edit Master title style What is Business Analysis Body of Knowledge?
CSRP NASA Workshop NASA’s Revised Budget. CSRP NASA Workshop NASA’s New Vision and Objectives (as of January 14, 2004)  VISION  The fundamental goal.
PROPRIETARY  2003 Data Research Analysis & Consultancy Solutions All Rights Reserved. This is achieved by: Improving availability / reducing stock outs.
AIRS/AMSU-A/HSB Data Subsetting and Visualization Services at GES DAAC Sunmi Cho, Jason Li, Donglian Sun, Jianchun Qin and Carrie Phelps, Code 902, NASA.
1 The PISCES Project Don J. Pearson JSC/DM Flight Design & Dynamics Division May 2002
Status Reports: Measuring against Mission National Institute of Standards and Technology U.S. Department of Commerce 1 Technology Program Evaluation: Methodologies.
Improving System Availability in Distributed Environments Sam Malek with Marija Mikic-Rakic Nels.
Supporting the design of interactive systems a perspective on supporting people’s work Hans de Graaff 27 april 2000.
Hierarchical Management Architecture for Multi-Access Networks Dzmitry Kliazovich, Tiia Sutinen, Heli Kokkoniemi- Tarkkanen, Jukka Mäkelä & Seppo Horsmanheimo.
March 2004 At A Glance The AutoFDS provides a web- based interface to acquire, generate, and distribute products, using the GMSEC Reference Architecture.
PARALLEL AND DISTRIBUTED PROGRAMMING MODELS U. Jhashuva 1 Asst. Prof Dept. of CSE om.
1 ITAP International Competency Software A family of competency based products that integrate HR and business processes Stephen Martin: President ITAP.
What do we know from research on:. Key points Digital games for learning have some distinctive features (see slide 3) Digital games for learning can have.
Federal Land Manager Environmental Database (FED) Overview and Update June 6, 2011 Shawn McClure.
Information Distribution Connected infrastructure enabling free flow of useful information Assimilation & Distribution Methods of delivery Mobile phone.
CHAPTER 2 Decision Making and Business Processes Opening Case: Information Systems Improve Business Processes at Grocery Gateway Nour El Kadri.
National Goals and Objectives
Analysis models and design models
Presentation transcript:

HPN: IFSS1 Intelligent Flight Support System (IFSS) A Real-Time Intelligent Decision Support Prototype PRESENTER/COTR Anthony Bruins (X37071) HPN Software Consultant, Inc.

HPN: IFSS2 “To understand and protect our home planet, to explore the universe and search for life, and to inspire the next generation of explorers” is NASA’s mission. The MCCS system’s vision lists the Mission Operations Directorate (MOD) goals as: ● Making MCCS software and data readily accessible to users regardless of location, ● Facilitating the distribution of data across platforms to local and remote users, ● allowing concurrent access to multiple security levels depending on roles, tasks and needs, ● Employing intuitive and standard user interfaces to the platforms and tools. ● Employing intuitive 3D visualization. IFSS enables MOD to meet all of these goals In addition, IFSS can support the key elements of the new Exploration Policy such as Space Shuttle, International Space Station, Crew Exploration Vehicle, Lunar Exploration, Mars Exploration, and Other Solar System Exploration.

HPN: IFSS3 The IFSS user interface highlights two distinct data and intelligent components. The data component provides FCs with all currently used displays at MCC while the intelligent component is used to provide the FCs with what-if, goal-seeking and graphing capabilities. An expert system is embedded in the intelligent component allowing FCs to perform more sophisticated analysis, such as dual angle operations, feathering for docking, shadow analysis, auto tracking. What gives this proposed software product its power is the following features: What if Analysis: What-if analysis is a trial-and-error method that determines the impact of changes in decision variables and assumptions. Goal-Seeking: Goal-seeking will allow the users to determine the required value of a parameter to achieve some predetermined target, for example the solar channel angle for a given attitude (yaw, pitch, and roll) needed to provide a desired secondary output for a solar channel. Expert System: The expert system to be embedded in the intelligent component is a rule-based system that will be designed and developed to provide users with advice concerning various tasks such as dual angle operations or shadow analysis. The IFSS User Interface

HPN: IFSS4 A Sample Graphical User Interface Screen Shot of the Current Flight Control System

HPN: IFSS5 IFSS Menu System Graphical User Interface Screen Shot

HPN: IFSS6 Situational and Contextual Awareness: “What-if” Analysis Graphical User Interface Screen Shot

HPN: IFSS7 Situational and Contextual Awareness: “Goal-seeking” Graphical User Interface Screen Shot

HPN: IFSS8 Information vs. Data: Graphical User Interface Screen Shot

HPN: IFSS9 Real Time Prediction: Rule-based Expert System Graphical User Interface Screen Shot

HPN: IFSS10 The Median Scores for the IFSS Evaluation Questionnaire Given to 24 FCs and FDs IFSS was evaluated by 24 FCs and FDs and they rate the system favorably on the following criteria on a 0 to 8 scale:

HPN: IFSS11 Conclusion The IFSS has enabled the FCs to visualize, analyze, and communicate information and knowledge associated with the various aspects of space operations and telemetry data. The overall goal of IFSS is to maximize accuracy and minimize effort. The fusion of telemetry data and decision support models into one visualization environment enables FCs to understand the cross dependencies of multidisciplinary data and make invisible and transient information visible and sustainable. Also, the IFSS provides a platform allowing the FC’s process information in parallel automatically, and unconsciously by bypassing the bottleneck of human working memory that is limited in capacity. In addition, the real-time visualization provides FCs with quick assessment of operational problems and enables them to allocate proper resources to investigate a particular scenario in more detail.