L-curve-based regularization parameter selection
|
|
|
- Dylan Jones
- 5 years ago
- Views:
Transcription
1 L-curve-based regularization parameter selection regularization misfit O. Ghattas (UT-Austin) Bayesian inversion for Antarctic sheet ICES Babuška Forum 36 / 67
2 Antarctic ice sheet inversion for basal sliding field: InSAR data Left: InSAR-based Antarctica ice surface velocity observations Right: Inferred basal sliding field O. Ghattas (UT-Austin) Bayesian inversion for Antarctic sheet ICES Babus ka Forum 37 / 67
3 Antarctic ice sheet inversion for basal sliding field: InSAR data InSAR-based Antarctica ice surface velocity observations O. Ghattas (UT-Austin) Bayesian inversion for Antarctic sheet ICES Babuška Forum 38 / 67
4 Antarctic ice sheet inversion for basal sliding field: InSAR data Reconstructed ice surface velocity field O. Ghattas (UT-Austin) Bayesian inversion for Antarctic sheet ICES Babuška Forum 38 / 67
5 Analysis of data misfit Hessian for a (nonlinear) elliptic coefficient inverse problem (P. Flath, 2013) Invert for log-coefficient field γ(x) in Poisson equation from observations of state u(x) within domain: 1 L min (b u(γ) d obs ) 2 dx γ M 2 where the map from γ to u is defined by solution of: d ( e γ du ) = 0 for x (0, L) dx dx Two cases of observation operator: 0 u(0) = u 0 u(l) = u L full observations: b(x) = 1 pointwise observations: b(x) = L n n j=1 δ(x x j) O. Ghattas (UT-Austin) Bayesian inversion for Antarctic sheet ICES Babuška Forum 52 / 67
6 Analysis of Hessian for elliptic coefficient inverse problem assume no noise, γ = γ 0 is true log-medium Fourier analysis of spectrum of data misfit Hessian, evaluated at γ 0, gives eigenvalues for both cases: full observations: λ i = (u L u 0) 2 π 2 i 2 n pointwise observations: λ i = (u L u 0) 2 4n 2 sin(iπ/2n) 2 Spectrum of data misfit Hessian for both full and pointwise observations Left: 6 observations Right: 500 observations O. Ghattas (UT-Austin) Bayesian inversion for Antarctic sheet ICES Babuška Forum 53 / 67
7 Analysis of Hessian for elliptic coefficient inverse problem Eigenfunctions of data misfit Hessian are cos(iπx/l) in full observations case, and piecewise-constant interpolants of the cosines in pointwise case Eigenfunctions 1, 2, 5, and 6 for full and pointwise (n = 6) observations O. Ghattas (UT-Austin) Bayesian inversion for Antarctic sheet ICES Babuška Forum 54 / 67
8 Spectrum of the prior-preconditioned data misfit Hessian ,545 parameters 1,190,403 parameters eigenvalue number Spectrum of Γ 1/2 pr F T ΓnoiseF 1 Γ 1/2 pr for Antarctica inverse problem with 410K and 1.19M basal sliding parameters (observed to decay like i 3 ) 4000 dominant modes, independent of parameter and data dimension intrinsic problem dimension depends on information content of data O. Ghattas (UT-Austin) Bayesian inversion for Antarctic sheet ICES Babuška Forum 59 / 67
9 Eigenvector 1 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesianeigenvector inversion for Antarctic 1 sheet ICES Babuška Forum 60 / 67
10 Eigenvector 2 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesianeigenvector inversion for Antarctic 2 sheet ICES Babuška Forum 60 / 67
11 Eigenvector 3 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesianeigenvector inversion for Antarctic 3 sheet ICES Babuška Forum 60 / 67
12 Eigenvector 4 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesianeigenvector inversion for Antarctic 4 sheet ICES Babuška Forum 60 / 67
13 Eigenvector 5 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesianeigenvector inversion for Antarctic 5 sheet ICES Babuška Forum 60 / 67
14 Eigenvector 6 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesianeigenvector inversion for Antarctic 6 sheet ICES Babuška Forum 60 / 67
15 Eigenvector 7 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesianeigenvector inversion for Antarctic 7 sheet ICES Babuška Forum 60 / 67
16 Eigenvector 8 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesianeigenvector inversion for Antarctic 8 sheet ICES Babuška Forum 60 / 67
17 Eigenvector 9 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesianeigenvector inversion for Antarctic 9 sheet ICES Babuška Forum 60 / 67
18 Eigenvector 10 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesian eigenvector inversion for Antarctic 10 sheet ICES Babuška Forum 60 / 67
19 Eigenvector 100 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesian eigenvector inversion for Antarctic 100sheet ICES Babuška Forum 60 / 67
20 Eigenvector 200 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesian eigenvector inversion for Antarctic 200sheet ICES Babuška Forum 60 / 67
21 Eigenvector 500 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesian eigenvector inversion for Antarctic 500sheet ICES Babuška Forum 60 / 67
22 E-vector 1000 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesian eigenvector inversion for Antarctic 1000sheet ICES Babuška Forum 60 / 67
23 E-vector 2000 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesian eigenvector inversion for Antarctic 2000sheet ICES Babuška Forum 60 / 67
24 E-vector 4000 of prior-preconditioned data misfit Hessian O. Ghattas (UT-Austin) Bayesian eigenvector inversion for Antarctic 4000sheet ICES Babuška Forum 60 / 67
Ensemble methods for ice sheet init.
Ensemble methods for ice sheet model initialisation Bertrand Bonan 1 Maëlle Nodet 1,2 Catherine Ritz 3 : INRIA Laboratoire Jean Kuntzmann (Grenoble) 2 3 1 : Université Joseph Fourier (Grenoble) : CNRS
Kernel Principal Component Analysis and its Applications in Face Recognition and Active Shape Models
Kernel Principal Component Analysis and its Applications in Face Recognition and Active Shape Models Quan Wang ECSE, Rensselaer Polytechnic Institute May 13, 2011 Main Work Studied the theories of kernel
Pre-Calculus AB: Topics and Assignments Weeks 1 and 2
Weeks 1 and 2 Monday 7/30 NO SCHOOL! Tuesday 7/31 NO SCHOOL! Wednesday 8/1 Start of School Thursday 8/2 Class Policy and Expectations Lesson 5 Exponents and Radicals Complex Numbers Areas of Similar Geometric
Integrated Optimization of Arrival, Departure, and Surface Operations
Integrated Optimization of Arrival, Departure, and Surface Operations Ji MA, Daniel DELAHAYE, Mohammed SBIHI ENAC École Nationale de l Aviation Civile, Toulouse, France Paolo SCALA Amsterdam University
MAT 115: Precalculus Mathematics Homework Exercises Textbook: A Graphical Approach to Precalculus with Limits: A Unit Circle Approach, Sixth Edition
MAT 115: Precalculus Mathematics Homework Exercises Textbook: A Graphical Approach to Precalculus with Limits: A Unit Circle Approach, Sixth Edition Section R.1, Page 923: Review of Exponents and Polynomials
Journal of Aeronautics & Aerospace
Journal of Aeronautics & Aerospace Engineering Journal of Aeronautics & Aerospace Engineering Ahmed Soliman M.Sherif, J Aeronaut Aerospace Eng 217, 6:1 DOI: 1.4172/2168-9792.118 Research Article Open Access
VISUALIZATION OF AIRSPACE COMPLEXITY BASED ON AIR TRAFFIC CONTROL DIFFICULTY
VISUALIZATION OF AIRSPACE COMPLEXITY BASED ON AIR TRAFFIC CONTROL DIFFICULTY Hiroko Hirabayashi*, Mark Brown*, Sakae Nagaoka* *Electronic Navigation Research Institute Keywords: Air Traffic Control, Complexity,
Mathcad Prime Curriculum Guide
Mathcad Prime Curriculum Guide Web Based Curriculum Guide Mathcad Prime 1.0 - Application Orientation Mathcad Prime 1.0 - Plotting Mathcad Prime 1.0 - Working With Units Mathcad Prime 1.0 - Solving Equations
J. Oerlemans - SIMPLE GLACIER MODELS
J. Oerlemans - SIMPE GACIER MODES Figure 1. The slope of a glacier determines to a large extent its sensitivity to climate change. 1. A slab of ice on a sloping bed The really simple glacier has a uniform
Mathcad 140 Curriculum Guide
Mathcad 140 Curriculum Guide Live Classroom Curriculum Guide Mathcad 14.0 Essentials Using Advanced Programming Techniques with Mathcad 14.0 Using Advanced Plotting Techniques with Mathcad 14.0 Configuring
A Methodology for Integrated Conceptual Design of Aircraft Configuration and Operation to Reduce Environmental Impact
A Methodology for Integrated Conceptual Design of Aircraft Configuration and Operation to Reduce Environmental Impact ATIO/ANERS September 22, 2009 Andrew March Prof. Ian Waitz Prof. Karen Willcox Motivation
Three-dimensional modelling of calving processes on Johnsons Glacier, Livingston Island, Antarctica
Geophysical Research Abstracts Vol. 12, EGU2010-6973, 2010 EGU General Assembly 2010 Author(s) 2010 Three-dimensional modelling of calving processes on Johnsons Glacier, Livingston Island, Antarctica Jaime
Proceedings of the 54th Annual Transportation Research Forum
March 21-23, 2013 DOUBLETREE HOTEL ANNAPOLIS, MARYLAND Proceedings of the 54th Annual Transportation Research Forum www.trforum.org AN APPLICATION OF RELIABILITY ANALYSIS TO TAXI-OUT DELAY: THE CASE OF
Unit 4: Location-Scale-Based Parametric Distributions
Unit 4: Location-Scale-Based Parametric Distributions Ramón V. León Notes largely based on Statistical Methods for Reliability Data by W.Q. Meeker and L. A. Escobar, Wiley, 1998 and on their class notes.
Unit 6: Probability Plotting
Unit 6: Probability Plotting Ramón V. León Notes largely based on Statistical Methods for Reliability Data by W.Q. Meeker and L. A. Escobar, Wiley, 1998 and on their class notes. 9/12/2004 Stat 567: Unit
ENDURANCE GLIDER. Charles R. O Neill School of Mechanical and Aerospace Engineering Oklahoma State University Stillwater, OK 74078
ENDURANCE GLIDER Charles R. O Neill School of Mechanical and Aerospace Engineering Oklahoma State University Stillwater, OK 74078 MAE 4283 Design Project Stability and Control Nov 6, 2000 Endurance Glider
Workshop on Advances in Public Transport Control and Operations, Stockholm, June 2017
ADAPT-IT Analysis and Development of Attractive Public Transport through Information Technology Real-time Holding Control Strategies for Single and Multiple Public Transport Lines G. Laskaris, PhD Candidate,
Observations of glacier dynamics with PALSAR DATA
Observations of glacier dynamics with PALSAR DATA Tazio Strozzi, Urs Wegmüller and Charles Werner Gamma Remote Sensing, Gümligen, Switzerland Rhodes, Greece, 3 to 7 November 2008 Outline ESA GLOBGLACIER
Curriculum Guide. Mathcad Prime 4.0
Curriculum Guide Mathcad Prime 4.0 Live Classroom Curriculum Guide Mathcad Prime 4.0 Essentials Mathcad Prime 4.0 Essentials Overview Course Code Course Length TRN-5140-T 16 Hours In this course, you will
Somchanok Tiabtiamrat* and Supachok Wiriyacosol ABSTRACT
Kasetsart J. (Nat. Sci.) 45 : 967-976 (2011) Risk Formulation of Hull Loss Accidents in Narrow-Body Commercial Jet Aircraft (Boeing 737, Airbus A320, McDonnell Douglas MD82, Tupolev TU134 and TU154 and
7.1 General Information. 7.2 Landing Gear Footprint. 7.3 Maximum Pavement Loads. 7.4 Landing Gear Loading on Pavement
7.0 PAVEMENT DATA 7.1 General Information 7.2 Landing Gear Footprint 7.3 Maximum Pavement Loads 7.4 Landing Gear Loading on Pavement 7.5 Flexible Pavement Requirements - U.S. Army Corps of Engineers Method
Estimating the Risk of a New Launch Vehicle Using Historical Design Element Data
International Journal of Performability Engineering, Vol. 9, No. 6, November 2013, pp. 599-608. RAMS Consultants Printed in India Estimating the Risk of a New Launch Vehicle Using Historical Design Element
Formulation of Lagrangian stochastic models for geophysical turbulent flows
Formulation of Lagrangian stochastic models for geophysical turbulent flows Alberto Maurizi a.maurizi@isac.cnr.it Institute of Atmospheric Sciences and Climate - CNR, Bologna, Italy International summer
Montana Canvas Tent Structure Design
Montana Tech Library Digital Commons @ Montana Tech Proceedings of the Annual Montana Tech Electrical and General Engineering Symposium Student Scholarship 2016 Montana Canvas Tent Structure Design Eric
Queuing Theory and Traffic Flow CIVL 4162/6162
Queuing Theory and Traffic Flow CIVL 4162/6162 Learning Objectives Define progression of signalized intersections Quantify offset, bandwidth, bandwidth capacity Compute progression of one-way streets,
Decision aid methodologies in transportation
Decision aid methodologies in transportation Lecture 5: Revenue Management Prem Kumar prem.viswanathan@epfl.ch Transport and Mobility Laboratory * Presentation materials in this course uses some slides
Mathcad 14.0 Curriculum Guide
Mathcad 14.0 Curriculum Guide NOTE: For a graphical depiction of the curriculum based on job role, please visit this page: http://www.ptc.com/services/edserv/learning/paths/ptc/mc_14.htm Live Classroom
Developing a Functional Roller Coaster Optimizer. Ernest Lee. April 20, Abstract
Developing a Functional Roller Coaster Optimizer Josh Tsai Brigham Young University joshjtsai@gmail.com Ernest Lee Brigham Young University ernest.tylee@gmail.com April 20, 2017 Abstract Roller coasters
University of Colorado, Colorado Springs Mechanical & Aerospace Engineering Department. MAE 4415/5415 Project #1 Glider Design. Due: March 11, 2008
University of Colorado, Colorado Springs Mechanical & Aerospace Engineering Department MAE 4415/5415 Project #1 Glider Design Due: March 11, 2008 MATERIALS Each student glider must be able to be made from
Mathcad Prime 3.0. Curriculum Guide
Mathcad Prime 3.0 Curriculum Guide Live Classroom Curriculum Guide Mathcad Prime 3.0 Essentials Advanced Functionality using Mathcad Prime 3.0 Mathcad Prime 3.0 Essentials Overview Course Code Course Length
An Analytical Approach to the BFS vs. DFS Algorithm Selection Problem 1
An Analytical Approach to the BFS vs. DFS Algorithm Selection Problem 1 Tom Everitt Marcus Hutter Australian National University September 3, 2015 Everitt, T. and Hutter, M. (2015a). Analytical Results
FINAL APPROACH AND LANDING TRAJECTORY GENERATION FOR CIVIL AIRPLANE IN TOTAL LOSS OF THRUST
FINAL APPROACH AND LANDING TRAJECTORY GENERATION FOR CIVIL AIRPLANE IN TOTAL LOSS OF THRUST Università di Pisa Dipartamento di Ingegneria Aerospaziale Pisa, July 2016 Laurea Magistrale Degree in AEROSPACE
B 270 Superwite D Requirements deviating from these specifications must be defined in writing in a customer agreement.
B 270 uperwite B 270 uperwite D 0092 B 270 uperwite is a clear high transmission crown glass (modified soda-lime glass) available in form of sheets, optical rods, profiled rods, strips and chain moulded
7.1 General Information. 7.2 Landing Gear Footprint. 7.3 Maximum Pavement Loads. 7.4 Landing Gear Loading on Pavement
7.0 PAVEMENT DATA 7.1 General Information 7.2 Landing Gear Footprint 7.3 Maximum Pavement Loads 7.4 Landing Gear Loading on Pavement 7.5 Flexible Pavement Requirements - U.S. Army Corps of Engineers Method
Discriminate Analysis of Synthetic Vision System Equivalent Safety Metric 4 (SVS-ESM-4)
Discriminate Analysis of Synthetic Vision System Equivalent Safety Metric 4 (SVS-ESM-4) Cicely J. Daye Morgan State University Louis Glaab Aviation Safety and Security, SVS GA Discriminate Analysis of
VALIDATING THE FACTS2 AIR TRAFFIC SIMULATION FRAMEWORK
VALIDATING THE FACTS2 AIR TRAFFIC SIMULATION FRAMEWORK T. Gräupl, German Aerospace Center, Oberpfaffenhofen, Germany Abstract The modernization of the European air transportation system will increase the
EA-12 Coupled Harmonic Oscillators
Introduction EA-12 Coupled Harmonic Oscillators Owing to its very low friction, an Air Track provides an ideal vehicle for the study of Simple Harmonic Motion (SHM). A simple oscillator assembles with
7.1 General Information. 7.2 Landing Gear Footprint. 7.3 Maximum Pavement Loads. 7.4 Landing Gear Loading on Pavement
7.0 PAVEMENT DATA 7.1 General Information 7.2 Landing Gear Footprint 7.3 Maximum Pavement Loads 7.4 Landing Gear Loading on Pavement 7.5 Flexible Pavement Requirements - U.S. Army Corps of Engineers Method
Dynamic Planet Practice Test Written by Samuel Bressler
Dynamic Planet Practice Test 2013 Written by Samuel Bressler Part 1: Multiple Choice 1. Which of the following is NOT related to alpine glaciation? a) Serac b) Kame c) Col d) Paternoster Lake 2. The common
Six Flags Great Adventure Physics Packet
Great Adventure Packet 1 Six Flags Great Adventure Physics Packet Groups Members with Physics teacher s name: Great Adventure Packet 2 Equations Kinematics v = d/t v f = v i + at d = v i t + ½ at 2 v f
Organization of Multiple Airports in a Metropolitan Area
Organization of Multiple Airports in a Metropolitan Area Se-il Mun and Yusuke Teraji Kyoto University Full paper is downloadable at http://www.econ.kyoto-u.ac.jp/~mun/papers/munap081109.pdf 1 Multiple
Demand Shifting across Flights and Airports in a Spatial Competition Model
Demand Shifting across Flights and Airports in a Spatial Competition Model Diego Escobari Sang-Yeob Lee November, 2010 Outline Introduction 1 Introduction Motivation Contribution and Intuition 2 3 4 SAR
Time Benefits of Free-Flight for a Commercial Aircraft
Time Benefits of Free-Flight for a Commercial Aircraft James A. McDonald and Yiyuan Zhao University of Minnesota, Minneapolis, Minnesota 55455 Introduction The nationwide increase in air traffic has severely
Research on Fault Tolerant Controls within GARTEUR
Research on Fault Tolerant Controls within GARTEUR Hafid Smaili National Aerospace Laboratory NLR Training, Human Factors and Cockpit Operations Department Flight Mechanics, Systems and Integration Action
PHY 133 Lab 6 - Conservation of Momentum
Stony Brook Physics Laboratory Manuals PHY 133 Lab 6 - Conservation of Momentum The purpose of this lab is to demonstrate conservation of linear momentum in one-dimensional collisions of objects, and to
Motion 2. 1 Purpose. 2 Theory
Motion 2 Equipment Capstone, motion sensor, meter stick, air track+ 2 gliders, 2 blocks, and index cards. Air Tracks In this experiment you will be using an air track. This is a long straight triangular
FAR and Military Requirements
FAR and Military Requirements W. H. Mason Advanced Conceps from NASA TM-1998-207644 slide 1 2/19/03 FAR and MIL STD Requirements Gov t requirements dictate some of the design requirements interest is safety,
Transfer Scheduling and Control to Reduce Passenger Waiting Time
Transfer Scheduling and Control to Reduce Passenger Waiting Time Theo H. J. Muller and Peter G. Furth Transfers cost effort and take time. They reduce the attractiveness and the competitiveness of public
Railway Master Plan in Tokyo (2016)
Railway Master Plan in Tokyo (2016) Future vision of railway network in Tokyo and necessary policies 7 July, 2017 Topic 1.Review of Railway Master Plan(2000) 2.New Railway Master Plan (2016) 3.Future vision
Center for Transportation Research The University of Texas at Austin 3208 Red River, Suite 200 Austin, Texas
1. Report No. SWUTC/03/167520-1 4. Title and Subtitle A Parameterized Consideration Set Model for Airport Choice: An Application to the San Francisco Bay Area Technical Report Documentation Page 2. Government
Noise impact of an international traffic corridor in alpine environment: traffic scenarios and population exposure in Mont Blanc area
Noise impact of an international traffic corridor in alpine environment: traffic scenarios and population exposure in Mont Blanc area Filippo Berlier, Giovanni Agnesod, Marco Cappio Borlino, Christian
The SAS System 18:28 Saturday, March 10, Clustering Clusters by Ward's Method
The SAS System 8:28 Saturday, March 0, 208 Obs Species SepalLength SepalWidth PetalLength PetalWidth Setosa 50 33 4 2 2 Setosa 46 34 4 3 3 Setosa 46 36 0 2 4 Setosa 5 33 7 5 5 Setosa 55 35 3 2 6 Setosa
SIX FLAGS GREAT ADVENTURE PHYSICS DAY REVIEW & SAMPLES
DIRECTIONS: SIX FLAGS GREAT ADVENTURE PHYSICS DAY REVIEW & SAMPLES For your assignment you will answer Multiple Choice questions and Open Ended Questions. All students must do the Great American Scream
Comparison Study between Vault Seismometers and a New Posthole Seismometer
Comparison Study between Vault Seismometers and a New Posthole Seismometer Presented in Salt Lake City, Utah at the Seismological Society of America s Annual Meeting, April 2013 250 Herzberg Road, Kanata,
Paper Roller Coasters Engineering Journal. Name: Group: Period: Due date:
Paper Roller Coasters Engineering Journal Name: Group: Period: Due date: Problem: You are a roller coaster manufacturer competing for a bid to build a roller coaster for an amusement park. Your task is
AiMT. Flight Trajectory Modelling to Increase General Aviation Safety. Advances in Military Technology Vol. 6, No. 1, June 2011
AiMT Advances in Military Technology Vol. 6, No. 1, June 2011 Flight Trajectory Modelling to Increase General Aviation Safety J. Salga 1* and D. Maturkanič 2 1 Department of Aircraft and Rocket Technology
Final. Hydroacoustic and Airborne Monitoring at the Naval Station. Mayport Interim Report June 2015
Final Hydroacoustic and Airborne Monitoring at the Naval Station Submitted to: Naval Facilities Engineering Command Atlantic under HDR Environmental, Operations and Construction, Inc. Contract No. N62470-10-D-3011,
AUTONOMOUS FLIGHT CONTROL AND GUIDANCE SYSTEM OF ACCIDENT AIRCRAFT
24 TH INTERNATIONAL CONGRESS OF THE AERONAUTICAL SCIENCES AUTONOMOUS FLIGHT CONTROL AND GUIDANCE SYSTEM OF ACCIDENT AIRCRAFT Shinji Suzuki*, Fumihiro Kawamura**, Kazuya Masui** *The University of Tokyo,
LUXEON Rebel. Illumination Portfolio. ANSI Binned with Minimum CRI
LUXEON Rebel Illumination Portfolio Optimized solutions for illumination applications Technical Datasheet DS63 LUXEON Rebel Illumination Portfolio ANSI Binned with Minimum CRI Introduction The LUXEON Rebel
Aircraft Noise. Why Aircraft Noise Calculations? Aircraft Noise. SoundPLAN s Aircraft Noise Module
Aircraft Noise Why Aircraft Noise Calculations? Aircraft Noise Aircraft noise can be measured and simulated with specialized software like SoundPLAN. Noise monitoring and measurement can only measure the
Assignment 10: Final Project
CEE 4674: Airport Planning and Design Spring 2017 Assignment 10: Final Project Due: May 4, 2017 (via email and PDF) Final Exam Time is May 5 Requirements for this assignment are: a) Slide presentation
GERMAN ECONOMIC ASSOCIATION OF BUSINESS ADMINISTRATION GEABA X. SYMPOSIUM ZUR ÖKONOMISCHEN ANALYSE. Another look at commercial airport services
X. SYMPOSIUM ZUR ÖKONOMISCHEN ANALYSE DER UNTERNEHMUNG Another look at commercial airport services Achim I. Czerny Session A1 GERMAN ECONOMIC ASSOCIATION OF BUSINESS ADMINISTRATION GEABA Another look at
Estimated Fuel Burn Performance for MDW Arrivals
Estimated Fuel Burn Performance for MDW Arrivals Akshay Belle 1 and Lance Sherry 2 Center for Air Transportation Systems Research, Fairfax, Virginia, 22030 TRACON arrival flows are an important component
Air Track Collisions
PC1141 Physics I Air Track Collisions 1 Objectives Determine the velocity and momentum of each glider before and after the collision from which the total momentum of the system before and after the collision
A three-dimensional calving model: numerical experiments on Johnsons Glacier, Livingston Island, Antarctica
Journal of Glaciology, Vol. 56, No. 196, 2010 A three-dimensional calving model: numerical experiments on Johnsons Glacier, Livingston Island, Antarctica Jaime OTERO, 1 Francisco J. NAVARRO, 1 Carlos MARTIN,
ACCIDENT RATES AT PEDESTRIAN CROSSINGS IN HERTFORDSHIRE
TRANSPORT AND ROAD RESEARCH LABORATORY Department of Transport RRL Contractor Report 154 ACCIDENT RATES AT PEDESTRIAN CROSSINGS IN HERTFORDSHIRE =,, by J G Hunt and J D Griffiths (UWIST) The authors of
NOTES ON COST AND COST ESTIMATION by D. Gillen
NOTES ON COST AND COST ESTIMATION by D. Gillen The basic unit of the cost analysis is the flight segment. In describing the carrier s cost we distinguish costs which vary by segment and those which vary
Chapter 9 Validation Experiments
Chapter 9 Validation Experiments The variable rate model developed for MH37 was validated by analysing data from a collection of flights where the true aircraft location was known; we refer to these as
2. (1pt) From an aircraft, how can you tell the difference between a snowfield and a snow-covered glacier?
1 GLACIERS 1. (2pts) Define a glacier: 2. (1pt) From an aircraft, how can you tell the difference between a snowfield and a snow-covered glacier? 3. (2pts) What is the relative size of Antarctica, Greenland,
Developing an Aircraft Weight Database for AEDT
17-02-01 Recommended Allocation: $250,000 ACRP Staff Comments This problem statement was also submitted last year. TRB AV030 supported the research; however, it was not recommended by the review panel,
Modeling Side Stop Purpose During Long Distance Travel Using the 1995 American Travel Survey (ATS)
Modeling Side Stop Purpose During Long Distance Travel Using the 1995 American Travel Survey (ATS) Jeffrey LaMondia The University of Texas at Austin Dept of Civil, Architectural & Environmental Engineering
Six Flags. Great. Adventure. Physics. Packet
Great Adventure Packet 0 Six Flags Great Adventure Physics Packet Groups Members - Physics teacher s name: Great Adventure Packet 1 Equations Kinematics v = d/t v f = v i + at d = v i t + ½ at 2 v f 2
Trajectory Optimization for Safe, Clean and Quiet Flight
ENRI International Workshop on ATM/CNS. Tokyo, Japan. (EIWAC 29) Trajectory Optimization for Safe, Clean and Quiet Flight Shinji Suzuki, Takeshi Tsuchiya and Adriana Andreeva Dept. of Aeronautics and Astronautics
Evaluation of Alternative Aircraft Types Dr. Peter Belobaba
Evaluation of Alternative Aircraft Types Dr. Peter Belobaba Istanbul Technical University Air Transportation Management M.Sc. Program Network, Fleet and Schedule Strategic Planning Module 5: 10 March 2014
NAS Performance Models. Michael Ball Yung Nguyen Ravi Sankararaman Paul Schonfeld Luo Ying University of Maryland
NAS Performance Models Michael Ball Yung Nguyen Ravi Sankararaman Paul Schonfeld Luo Ying University of Maryland FAA Strategy Simulator: analyze impact on NAS of major policy initiatives/changes significant
A model of dual-market airport operations to assess the effect of Canada s airport rent formula.
A model of dual-market airport operations to assess the effect of Canada s airport rent formula. William G. Morrison May 2008 ABSTRACT Many airports around the world have undergone changes in governance
Physics Is Fun. At Waldameer Park! Erie, PA
Physics Is Fun At Waldameer Park! Erie, PA THINGS TO BRING: Amusement Park Physics Bring a pencil Bring a calculator Don t forget to bring this assignment packet Bring a stop watch, a digital watch, or
Mathematics of Flight. Glide Slope II
Mthemtics of Flight Glide Slope II A glider is specil kind of ircrft tht hs no engine. The Wright brothers perfected the design of the first irplne nd gined piloting experience through series of glider
Traffic Forecasts. CHAOUKI MUSTAPHA, Economist, International Civil Aviation Organization
SIP/2009-WP/11 Business case Traffic Forecasts CHAOUKI MUSTAPHA, Economist, International Civil Aviation Organization Workshop on the Development of Business Case for the Implementation of CNS/ATM Systems
Dr. Antonio A. Trani Professor of Civil Engineering Virginia Polytechnic Institute and State University. January 27, 2009 Blacksburg, Virginia
Dr. Antonio A. Trani Professor of Civil Engineering Virginia Polytechnic Institute and State University January 27, 2009 Blacksburg, Virginia 1 Runway Design Assumptions (FAA 150/5325-4b) Applicable to
Assessment of the effects of operational procedures and derated thrust on American Airlines B777 emissions from London s Heathrow and Gatwick airports
Partnership for Air Transportation Noise and Emissions Reduction An FAA/NASA/Transport Canada- Sponsored Center of Excellence Assessment of the effects of operational procedures and derated thrust on American
Risk Analysis and Setting Priorities in Air Traffic Control by Using a Matrix of Similarities
DE GRUYTER OPEN Transport and Aerospace Engineering doi: 10.1515/tae-2015-0003 Risk Analysis and Setting Priorities in Air Traffic Control by Using a Matrix of Similarities Monta Lacane 1, Silva Andersone
Appendix to. Utility in WTP space: a tool to address. confounding random scale effects in. destination choice to the Alps
Appendix to Utility in WTP space: a tool to address confounding random scale effects in destination choice to the Alps R. Scarpa, M. Thiene and K. Train January 2008 Note: The material contained herein
7. Demand (passenger, air)
7. Demand (passenger, air) Overview Target The view is intended to forecast the target pkm in air transport through the S-curves that link the GDP per capita with the share of air transport pkm in the
Glide Slope Control Authority for Parafoil Canopies with Variable Incidence Angle
JOURNAL OF AIRCRAFT Vol. 5, No. 5, September October 213 Glide Slope Control Authority for Parafoil Canopies with Variable Incidence Angle Michael Ward, Alek Gavrilovski, and Mark Costello Georgia Institute
along a transportation corridor in
Rockfall hazard and risk assessment along a transportation corridor in the Nera Valley, Central Italy Presentation on the paper authored by F. Guzzetti and P. Reichenbach, 2004 Harikrishna Narasimhan Eidgenössische
Chapter 2 A minimal model of a tidewater glacier
Chapter 2 A minimal model of a tidewater glacier We propose a simple, highly parameterized model of a tidewater glacier. The mean ice thickness and the ice thickness at the glacier front are parameterized
Wake Turbulence: Managing Safety and Capacity. Bram Elsenaar co-ordinator of the European Thematic Network WakeNet2-Europe
Wake Turbulence: Managing Safety and Capacity Bram Elsenaar co-ordinator of the European Thematic Network WakeNet2-Europe Outline What s the problem? Present ruling Possible changes and benefits How to
Quiz 2 - Solution. Problem #1 (50 points) CEE 5614 Fall Date Due: Wednesday November 20, 2013 Instructor: Trani
CEE 5614 Fall 2013 Quiz 2 - Solution Date Due: Wednesday November 20, 2013 Instructor: Trani Problem #1 (50 points) The North Atlantic Organized System (OTS) is typically made up of 6 Eastbound Track as
ANALYZING IMPACT FACTORS OF AIRPORT TAXIING DELAY BASED ON ADS-B DATA
ANALYZING IMPACT FACTORS OF AIRPORT TAXIING DELAY BASED ON ADS-B DATA J. Li a, X. Wang a,*, Y. Xu b, Q. Li a, C. He a, Y. Li a a College of Geoscience and Surveying Engineering, China University of Mining
Mechanics of Frisbee Throwing
16-741 Mechanics of Manipulation Project Report Mechanics of Frisbee Throwing Debidatta Dwibedi (debidatd) Senthil Purushwalkam (spurushw) Introduction Frisbee is a popular recreational and professional
Long term morphological analysis and simulations
Long term morphological analysis and simulations Dr.-Ing. Markus Promny Bundesanstalt für Gewässerkunde / Federal Institute of Hydrology GESINUS 2010 - Liège - 29./30.07.2010 page 1 1D-models of German
Optimal Control of Airport Pushbacks in the Presence of Uncertainties
Optimal Control of Airport Pushbacks in the Presence of Uncertainties Patrick McFarlane 1 and Hamsa Balakrishnan Abstract This paper analyzes the effect of a dynamic programming algorithm that controls
Potential of CO 2 retrieval from IASI
Potential of CO 2 retrieval from IASI L. Chaumat, O. Lezeaux, P. Prunet, B. Tournier F.-R. Cayla (SISCLE), C. Camy-Peyret (LPMAA) and T. Phulpin (CNES) Study supported by CNES ITSC-XVI: Angra dos Reis,
Time-Space Analysis Airport Runway Capacity. Dr. Antonio A. Trani. Fall 2017
Time-Space Analysis Airport Runway Capacity Dr. Antonio A. Trani CEE 3604 Introduction to Transportation Engineering Fall 2017 Virginia Tech (A.A. Trani) Why Time Space Diagrams? To estimate the following:
Modeling Air Traffic Demand for a Real-Time Queuing Network Model of the National Airspace System
AIAA Modeling and Simulation Technologies Conference 13-16 August 2012, Minneapolis, Minnesota AIAA 2012-4485 Modeling Air Traffic Demand for a Real-Time Queuing Network Model of the National Airspace
Polynomial Roller Coaster
Math Objectives Students will determine and analyze a polynomial model for a section of roller coaster track. Students will utilize translations to adjust their model to fit various criteria. Students
Congestion. Vikrant Vaze Prof. Cynthia Barnhart. Department of Civil and Environmental Engineering Massachusetts Institute of Technology
Frequency Competition and Congestion Vikrant Vaze Prof. Cynthia Barnhart Department of Civil and Environmental Engineering Massachusetts Institute of Technology Delays and Demand Capacity Imbalance Estimated
ridesharing Sid Banerjee School of ORIE, Cornell University
ridesharing Sid Banerjee School of ORIE, Cornell University based on work with D. Freund, T. Lykouris (Cornell), C. Riquelme & R. Johari (Stanford), special thanks to the data science team at Lyft Sid
4. Serrated Trailing Edge Blade Designs and Tunnel Configuration
Chapter 4: Serrated Trailing Edge Blade Designs 97 CHAPTER FOUR 4. Serrated Trailing Edge Blade Designs and Tunnel Configuration 4.1 Introduction To evaluate the effectiveness of trailing edge serrations