Emerging Information Technologies - PowerPoint PPT Presentation

1 / 33
About This Presentation
Title:

Emerging Information Technologies

Description:

Emerging Information Technologies Dr. Charles C. Tappert Department of CSIS Pace University – PowerPoint PPT presentation

Number of Views:94
Avg rating:3.0/5.0
Slides: 34
Provided by: CSP56
Learn more at: http://csis.pace.edu
Category:

less

Transcript and Presenter's Notes

Title: Emerging Information Technologies


1
Emerging Information Technologies
  • Dr. Charles C. Tappert
  • Department of CSIS
  • Pace University

2
Emerging Information Technologies
  • What are Emerging Info Technologies?
  • Moores Law and what might follow
  • Wearable/Handheld Computers
  • Virtual Reality
  • Artificial Intelligence
  • e-Commerce
  • Speech and Handwriting Interfaces

3
Technology Life Cycle
  • Precursor - dream or contemplation
  • Invention
  • Emergence (development)
  • Acceptance (established)
  • Surplus or Obsolescence

4
Moores Law
  • Every 18 months we put twice as many transistors
    on an integrated circuit doubling computing power
  • Been in effect about 40 years
  • Projected to continue another 20 years
  • This will end when the size of a transistor
    approaches the size of a few atoms and
    conventional shrinking methods wont work
  • What will happen then?

5
After Moores Law New
Technologies Will Emerge
  • Nanotechnology
  • Quantum Computing
  • Chaos Computing
  • Optical Computing

6
Wearable/Handheld Computers Enabling Technologies
  • Smaller Faster Processors
  • Interfaces in Human Modalities
  • Speech recognition (input) and synthesis (output)
  • Pen Computing (input/output)
  • Head Mounted Displays (output)
  • Wireless communication

7
Photos of Wearable Computers
8
Virtual Reality
  • Head Mounted Displays
  • Block view of outside world
  • Completely immerse user in virtual world
  • Applications
  • Flight simulators
  • Equipment operators
  • Game playing

9
Photos of VR HMDs
10
Artificial Intelligence
  • Pattern recognition
  • Speech handwriting recognition
  • Face recognition
  • Military target recognition
  • Search solution spaces
  • Business optimization problems
  • Chess and other game playing
  • Expert Systems
  • Medical diagnosis
  • Decision Support Systems
  • E-commerce agents

11
e-Commerce Web
Metamorphosis
  • from digital library
  • static web pages
  • focus on retrieval
  • to an electronic marketplace
  • dynamic web pages
  • focus on transactions
  • requires new perspective control mechanisms

12
e-Commerce Web Pull/Push
Technologies
  • Web pull technologies
  • Surfing the Net
  • Using a search engine
  • Personal search engines
  • Using an evolutionary agent
  • Web push technologies
  • Broadcasting/Webcasting
  • Selective channeling filtering
  • Push what the user wants (cookies)
  • Evolutionary push provides exact user needs

13
e-Commerce Web Agents
  • Representation - marketplace goods services
  • Promotion - interactive ads
  • Payment settlement - secure funds transfer
  • Valuation - online auctions and bargaining
  • Customer info - track customer preferences and
    habits
  • Quality - ratings, reviews, recommendations
  • Risk Management - product guarantees, loss
    insurance
  • Negotiation - automated systems for negotiation

14
Speech Recognition
  • Isolated words
  • Navigation and control systems
  • Continuous speech recognition
  • Dictation
  • Speech understanding systems
  • General speech input

15
Speech Recognition Problems
  • Dialects
  • Telephone/cell phone limitations
  • Noisy environments
  • Similar sounding words

16
Speech Recognition Problems
  • Similar sounding words
  • Recognize speech
  • Wreck a nice beach
  • Identically sounding words - homophones
  • The suns rays meet
  • The sons raise meat

17
Speech Understanding Problems Natural Language
Understanding
  • The spirit is willing but the flesh is weak

18
Speech Understanding Problems Natural Language
Understanding
  • The spirit is willing but the flesh is weak
  • The vodka is strong but the meat is rotten

19
Handwriting Recognition
  • Offline
  • Scanned Images
  • Static Information
  • Online
  • Electronic Tablet or Digitizer
  • Real-Time, Dynamic Information

20
Online Handwriting Recognition
  • Invention of electronic tablets -- late 1950s
  • Tablet and display were separate
  • Pen Computing -- 1980s
  • Combined tablets and dislpay
  • Brought input and output into the same surface
  • Immediate feedback via electronic ink
  • Created the paper-like interface

21
Dynamic Handwriting Information
  • Number of strokes
  • a stroke is the ink trace from pen down to pen up
  • Order of strokes
  • Stroke direction
  • Stroke velocity, acceleration

22
Written Language and Handwriting Properties
  • Alphabet
  • Letters, digits, punctuation, special symbols
  • Writing is a time sequence of strokes
  • Complete one character before beginning next
  • except for delayed strokes
  • Spatial order -- for example, left to right

23
Written English Writing Styles
  • Handprint
  • Uppercase -- about 2 strokes per letter
  • Lowercase -- about 1 stroke per letter
  • Cursive Script
  • Less than a stroke per letter
  • Delayed crossing and dotting strokes

24
Computer Problems in English
  • Constrained Handprint
  • Printing on lines -- symbols can touch or overlap
  • Printing one symbol per box -- form filling
  • Unconstrained Handprint
  • No lines and symbols can touch or overlap
  • Cursive Script
  • Mixed Printing and Cursive

25
Handprint Recognition Difficulties
  • Digitizer problems
  • Writing variation not handled by system
  • Uppercase versus lowercase versus digits
  • Segmentation -- character within character problem

26
Design of Graffiti for Palm Pilot
  • Small Alphabet
  • uppercase, digits, special symbols
  • One stroke per symbol to avoid segmentation
    difficulty
  • Separate writing areas to avoid letter and digit
    confusion

27
Graffiti Alphabet
28
Early Shorthand Alphabets
  • Ancient Greeks -- 400 BC
  • Tironian -- 63 BC
  • Stenographie -- 1602
  • Gabelsberger -- 1834
  • Moon -- 1894
  • Goldbergs Unistrokes (Xerox) -- 1993

29
Stenographie Alphabet 1602
30
Moon Alphabet 1894
31
Pen Computing Future Work
  • Graffiti recognizer greatly simplified the
    recognition problem
  • Handprint problem not completely solved
  • Even with IBMs ThinkWrite, CICs Jot, and
    Microsoft products
  • Cursive script not solved

32
Example of the Difficulty of Recognizing Cursive
Script
33
Summary
  • What are Emerging Info Technologies?
  • Moores Law and what might follow
  • Wearable/Handheld Computers
  • Virtual Reality
  • Artificial Intelligence
  • e-Commerce
  • Speech and Handwriting Interfaces
Write a Comment
User Comments (0)
About PowerShow.com