data monger ar
play

DATA-MONGER-AR Next-Gen Data Visualization: Communicating - PowerPoint PPT Presentation

Feb 05, 2024 •159 likes •356 views

DATA-MONGER-AR Next-Gen Data Visualization: Communicating Meaningful Engineering Data In the Real World Team:: #DamageDogs (pack of mad dogs) The Damage Dogs Jackson Pitofsky Will Pearson Corbin Robek Paul Tominna Steven Blevins Irman

  1. DATA-MONGER-AR Next-Gen Data Visualization: Communicating Meaningful Engineering Data In the Real World Team:: #DamageDogs (pack of mad dogs)

  2. The Damage Dogs Jackson Pitofsky Will Pearson Corbin Robek Paul Tominna Steven Blevins Irman Peerbhi Michael Roberts Special Thanks: Steve Baer Source: snapchat

  3. Visualizing Engineering Data Overlay meaningful damage data and engineering results onto real objects using Augmented Reality. Source: latimes.com

  4. The Current Process Spreadsheets -> Graphs

  5. Spreadsheets -> Graphs

  6. Spreadsheets -> Graphs Choose one approach to grab the audience’s attention right from the start: unexpected, emotional, or simple. Unexpected ➔ Highlight what’s new, unusual, or surprising. Emotional ➔ Give people a reason to care. Simple ➔ Provide a simple unifying message for what is to come

  7. Visualizing Stress -> FEA

  8. Visualizing Stress -> FEA

  9. FEA

  10. FEA

  11. FEA

  12. Goal = Experience Data with Augmented Reality! Pokemon Go brings to life pokemon with the help of your smartphone Source: adage.com

  13. How - The Workflow

  14. First Success! Deflected Beam(s) Now let’s add color...

  16. Sweet Success!

  17. Sweet Success!

  18. Future Workflow - Improved Object Anchorage, End User Simulates Data in Real Time

  19. Thank you! Prospective Investors Please form a Line next to the Hololens 2

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

Using Python and SeaDAS for Data Processing, Visualization and Analysis Breakout Workshop on Open

Using Python and SeaDAS for Data Processing, Visualization and Analysis Breakout Workshop on Open

Using Python and SeaDAS for Data Processing, Visualization and Analysis Breakout Workshop on Open Source Computing Tools IOCS Meeting, Busan South Korea, 9 April 2019 Bruce Monger, bcm3@cornell.edu Department of Earth and Atmospheric Sciences

330 views • 18 slides
OCaml Tutorial Abram Hindle Kitchener Waterloo Perl Monger http://kw.pm.org abez@abez.ca

OCaml Tutorial Abram Hindle Kitchener Waterloo Perl Monger http://kw.pm.org abez@abez.ca

OCaml Tutorial OCaml Tutorial Abram Hindle Kitchener Waterloo Perl Monger http://kw.pm.org abez@abez.ca October 19, 2006 Abram Hindle 1 OCaml Tutorial OCaml Functional Language Multiple paradigms: Imperative, Functional, Object

196 views • 18 slides
Networks: what? what for? how? https://mia.toulouse.inra.fr/NETBIO Julien Chiquet, tienne

Networks: what? what for? how? https://mia.toulouse.inra.fr/NETBIO Julien Chiquet, tienne

Networks: what? what for? how? https://mia.toulouse.inra.fr/NETBIO Julien Chiquet, tienne Delannoy, Marie-Laure Martin-Magniette, Franoise Monger, Guillem Rigaill & Nathalie Villa-Vialaneix Formation LIPM, Toulouse - April 27th 2017

1.17k views • 85 slides
London Parks & Gardens Trust Schrdinger's Park: When is a Park not a Park? (Victoria

London Parks & Gardens Trust Schrdinger's Park: When is a Park not a Park? (Victoria

London Parks & Gardens Trust Schrdinger's Park: When is a Park not a Park? (Victoria Tower Gardens progress report) Helen Monger Director 19th November 2018 1 London Parks & Gardens Trust Good afternoon. I am delighted to have

324 views • 18 slides
Data Preparation Data cleaning Data integration and transformation (Data

Data Preparation Data cleaning Data integration and transformation (Data

Data Preprocessing Why preprocess the data? Data Preparation Data cleaning Data integration and transformation (Data preprocessing) Data reduction, Feature selection Discretization and concept hierarchy generation 2

891 views • 21 slides
DATA MINING LECTURE 2 What is data? The data mining pipeline What is Data Mining? Data

DATA MINING LECTURE 2 What is data? The data mining pipeline What is Data Mining? Data

DATA MINING LECTURE 2 What is data? The data mining pipeline What is Data Mining? Data mining is the use of efficient techniques for the analysis of very large collections of data and the extraction of useful and possibly unexpected

2.4k views • 94 slides
Part III Unstructured Data Data Retrieval: III.1 Unstructured data and data retrieval

Part III Unstructured Data Data Retrieval: III.1 Unstructured data and data retrieval

Inf1-DA 20102011 III: 51 / 89 Part III Unstructured Data Data Retrieval: III.1 Unstructured data and data retrieval Statistical Analysis of Data: III.2 Data scales and summary statistics III.3 Hypothesis testing and correlation III.4

344 views • 17 slides
Part III Unstructured Data Data Retrieval: III.1 Unstructured data and data retrieval

Part III Unstructured Data Data Retrieval: III.1 Unstructured data and data retrieval

Inf1-DA 20102011 III: 68 / 91 Part III Unstructured Data Data Retrieval: III.1 Unstructured data and data retrieval Statistical Analysis of Data: III.2 Data scales and summary statistics III.3 Hypothesis testing and correlation III.4 2

579 views • 8 slides
Part III Unstructured Data Data Retrieval: III.1 Unstructured data and data retrieval

Part III Unstructured Data Data Retrieval: III.1 Unstructured data and data retrieval

Inf1-DA 20102011 III: 68 / 91 Part III Unstructured Data Data Retrieval: III.1 Unstructured data and data retrieval Statistical Analysis of Data: III.2 Data scales and summary statistics III.3 Hypothesis testing and correlation III.4 2

729 views • 24 slides
Part III Unstructured Data Data Retrieval: III.1 Unstructured data and data retrieval

Part III Unstructured Data Data Retrieval: III.1 Unstructured data and data retrieval

Inf1-DA 20102011 III: 28 / 89 Part III Unstructured Data Data Retrieval: III.1 Unstructured data and data retrieval Statistical Analysis of Data: III.2 Data scales and summary statistics III.3 Hypothesis testing and correlation III.4

455 views • 23 slides
Data Preparation Data cleaning Discretization (Data preprocessing) Data

Data Preparation Data cleaning Discretization (Data preprocessing) Data

Data Preprocessing Why preprocess the data? Data Preparation Data cleaning Discretization (Data preprocessing) Data integration and transformation Data reduction, Feature selection 2 Why Prepare Data? Why Prepare

462 views • 15 slides
DATA QUALITY AND DATA DATA QUALITY AND DATA PROGRAMMING PROGRAMMING "Data cleaning and

DATA QUALITY AND DATA DATA QUALITY AND DATA PROGRAMMING PROGRAMMING "Data cleaning and

DATA QUALITY AND DATA DATA QUALITY AND DATA PROGRAMMING PROGRAMMING "Data cleaning and repairing account for about 60% of the work of data scientists." Christian Kaestner Required reading: Schelter, S., Lange, D., Schmidt, P.,

1.1k views • 86 slides
Data Acquisition Chapter 2 Data Acquisition 1 st step: get data Usually data gathered by

Data Acquisition Chapter 2 Data Acquisition 1 st step: get data Usually data gathered by

Data Acquisition Chapter 2 Data Acquisition 1 st step: get data Usually data gathered by some geophysical device Most surveys are comprised of linear traverses or transects Typically constant data spacing Perpendicular to

432 views • 12 slides
Data stories with The Pudding So what is data storytelling? Data academia & data science

Data stories with The Pudding So what is data storytelling? Data academia & data science

Data stories with The Pudding So what is data storytelling? Data academia & data science dense complex static/non-interactive often not accompanied by an easy-to-follow narrative Data art beautiful abstract

647 views • 5 slides
Data Collection and Aggregation Data Collection and Aggregation 1 Challenges: data Challenges:

Data Collection and Aggregation Data Collection and Aggregation 1 Challenges: data Challenges:

Data Collection and Aggregation Data Collection and Aggregation 1 Challenges: data Challenges: data Data type: numerical sensor readings. Rich and massive data, spatially distributed and correlated. Data dynamics: data

713 views • 48 slides
Business Statistics CONTENTS The role of data The data matrix Data types Aspects of data

Business Statistics CONTENTS The role of data The data matrix Data types Aspects of data

DATA Business Statistics CONTENTS The role of data The data matrix Data types Aspects of data Obtaining data Further study THE ROLE OF DATA Data refers to observed facts there are 82 persons in this train the weight of

683 views • 22 slides
Warren Buffett It takes 20 years to build a reputation and five minutes to ruin it. If you think

Warren Buffett It takes 20 years to build a reputation and five minutes to ruin it. If you think

Warren Buffett It takes 20 years to build a reputation and five minutes to ruin it. If you think about that, youll do things differently. 3.5 bn people connected to the internet 1.2 billion Apple iphones sold 1 billion websites 2 billion

790 views • 49 slides
MARK: Introduction. Any time we can get our folks in front of a rodeo crowd, the better off we

MARK: Introduction. Any time we can get our folks in front of a rodeo crowd, the better off we

MARK: Introduction. Any time we can get our folks in front of a rodeo crowd, the better off we are. 1 MARK: Bo asked us to discuss how our rodeo committee has dealt with change over the past few years. Actually, this is the third time in five

449 views • 17 slides
Reflections on Farmer Cooperation in the UK Outline of Presentation Introduction to me Our

Reflections on Farmer Cooperation in the UK Outline of Presentation Introduction to me Our

39 th ICOS National Conference David Christensen Kingston Hill Farm Ltd Reflections on Farmer Cooperation in the UK Outline of Presentation Introduction to me Our farming business UK Dairy Coops and our Retail Sector Why are

606 views • 21 slides
H1 2013 RESULTS JULY 25, 2013 1 H1 2013 results SOLID FUNDAMENTALS GROWTH IN VOICE AND DATA

H1 2013 RESULTS JULY 25, 2013 1 H1 2013 results SOLID FUNDAMENTALS GROWTH IN VOICE AND DATA

H1 2013 RESULTS JULY 25, 2013 1 H1 2013 results SOLID FUNDAMENTALS GROWTH IN VOICE AND DATA USAGE in Morocco under challenging competitive and macroeconomic conditions STEADY GROWTH in international business STRONG RISE in margins,

861 views • 36 slides
Investor Presentation September 2016 1 Forward-Looking Statements Statements contained in this

Investor Presentation September 2016 1 Forward-Looking Statements Statements contained in this

Investor Presentation September 2016 1 Forward-Looking Statements Statements contained in this press release that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and

381 views • 34 slides
Second Quarter 2012 Results Paris, July 26, 2012 Safe Harbor T his presentation contains both

Second Quarter 2012 Results Paris, July 26, 2012 Safe Harbor T his presentation contains both

Second Quarter 2012 Results Paris, July 26, 2012 Safe Harbor T his presentation contains both historical and forward-looking statements. These forward-looking statements are not based on historical facts, but rather reflect our current

638 views • 51 slides
2.011 Constable Hon. Michael Truitt Constable Denton County Texas Constables Presented

2.011 Constable Hon. Michael Truitt Constable Denton County Texas Constables Presented

89 TH A NNUAL W EST T EXAS C OUNTY J UDGES AND C OMMISSIONERS A SSOCIATION C ONFERENCE Thursday, April 26, 2018 1:30 2:20 p.m. 2.011 Constable Hon. Michael Truitt Constable Denton County Texas Constables Presented By: Constable

510 views • 18 slides
Competitive Obedience Intro, Rules, and Tips Topics What is Competitive Obedience? Levels

Competitive Obedience Intro, Rules, and Tips Topics What is Competitive Obedience? Levels

Competitive Obedience Intro, Rules, and Tips Topics What is Competitive Obedience? Levels & Exercises Judging & Scoring Rules and Regulations Obedience Terms The 3 Fs of Dog Training Training Tips

314 views • 16 slides

More recommend