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Sense and Sensibility

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1981 First IBM PC - $1365, Xerox Star - $16,000. 1982 BBC's 'The Computer ... Next comes ubiquitous computing, or the age of calm technology, when technology ... – PowerPoint PPT presentation

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Title: Sense and Sensibility


1
Sense and Sensibility
  • Professor Paddy NixonSchool of Computer Science
    and Informatics

2
What Ill tell you
  • A brief history of computer time
  • What does Moores Law imply?
  • What does Nixons Law imply?
  • What is Adaptive Information
  • Big issues in Adaptive Information
  • From Computer Science to Informatics
  • Conclusions

3
The future is relative
  • Only six electronic computers would be needed to
    satisfy all the United States computing needs.
  • Howard Aitken, 1947

4
Put this in perspective
  • There are still less than 400 million machines
    currently connected and about 600 million users
    of the Internet
  • A tiny percentage of the world's population.
  • In 2001, the PC industry reported its first dip
    in sales.
  • Over 2 billion mobile phones
  • My mobile phone is comparable in power to my
    first PC

5
A timeline
  • 1948 The baby is built in Manchester
  • 1949 The EDSAC, Memory 1K words, 17 bits,
    Speed714 operations per second
  • 1951 UKs first commercial computer at Lyons TEA
    they started making computers and TEA
  • 1956 MIT build first general purpose computer
  • 1959 - IBM's 7000 series mainframes were the
    company's first transistorized computers.
  • 1960 - The precursor to the minicomputer, DEC's
    PDP-1 sold for 120,000. One of 50 built, the
    average PDP-1 included with a cathode ray tube
    graphic display and first computer game!
  • 1964 CDC 6600 3 MIP machine
  • 1966 ILLIAC, 200 MIP DARPA machine

6
More of the timeline
  • 1972 Hewlett-Packard announced the HP-35 as "a
    fast, extremely accurate electronic slide rule"
    with a solid-state memory similar to that of a
    computer.
  • 1974 Researchers at the Xerox Palo Alto Research
    Center designed the Alto
  • 1976 The Cray I made its name as the first
    commercially successful vector processor. The
    fastest machine of its day, its speed came partly
    from its shape, a C, which reduced the length of
    wires and thus the time signals needed to travel
    across them. Speed 166 million floating-point
    operations per second, Size 58 cubic feet,
    Weight 5,300 lbs.
  • 1979 Visicalc 'responsible' for 25 of all Apple
    II sales.
  • 1980 Sinclair's ZX-80 launched
  • 1981 First IBM PC - 1365, Xerox Star - 16,000.
  • 1982 BBC's "The Computer Programme" broadcast.
    Many people buy the BBC Micro made by Acorn.
  • January 23rd 1984 Macintosh launched

7
Baby - 1948 Successfully executed its first
program on 21st June 1948
8
Baby 1967
9
Baby - 2000
  • Source http//www-ccs.cs.umass.edu/shri/iPic.htm
    l

10
Moores Law
  • Gordon Moore (Co founder of HP) in the 1970s
    predicted that wed be able to squeeze twice as
    many transistors into a chip every 24 months.
  • This prediction, minorly modified, still holds.

11
Moores law
  • Source Kurtzweilai.net

Molecular Transistors
Silicon Transistors
12
100,000,000
100
13
lt100 cm3
10,000 m3
14
(No Transcript)
15
The consequences
All of humanitys computational power by 2050
One human brain
16
Nixons Law
17
All this power and it wont do what I want!
18
Conclusion 1
We know all about that, and Moores Law gives us
a good idea of what the future holds at the
processing level
So its no longer about what computers can do
19
The Third Wave Sensing the world
20
Pervasive Computing
  • Ubiquitous (or Pervasive) computing names the
    third wave in computing, just now beginning.
    First were mainframes, each shared by lots of
    people. Now we are in the personal computing era,
    person and machine staring uneasily at each other
    across the desktop. Next comes ubiquitous
    computing, or the age of calm technology, when
    technology recedes into the background of our
    lives.
  • Mark Weiser, Xerox

21
What is Pervasive Computing?
  • The correct information, delivered at the correct
    time, to the correct place, in the correct
    format.

One solution Provide everything in one place.
You might ever, conceivably need
22
Sense the world and action
23
Some Sensor Examples
  • Contextual device interaction

24
Floodnet
  • Tidal channel at low and high tide

25
GIS Visualisation Real-time output/ Simulator
Web
Model
Database
Field Side
IBM/MQ
Mini Broker
Mobile Phone Network
Database Side
26
Grid-based Medical Devices for Everyday Health
  • Patients are remotely monitored using a series of
    small mobile and wearable devices constructed
    from an arrangement of existing sensors
  • Information collected from these remote devices
    includes accelerometer and GPS information in
    order to provide context
  • Information is made available using Grid
    technology
  • Medical professionals have tools to analyse
    on-line medical information and are able to
    access these through remote interfaces.

27
MIAS - Devices
  • Exploring the development of mobile medical
    technologies that can be remotely connected onto
    a distributed grid infrastructure
  • Continuous monitoring of multiple signals via
    wearable devices
  • Periodic monitoring using Java phones and blood
    glucose measures
  • All signals available to a broad community and
    can be processed using standard Grid Services

28
Grid protocol
Java Phone Blood Monitor
StandardGrid Service for feature detection
Proxy Buffers Material for sending on
Grid based Storage Services
Grid protocol
Grid protocol
Patients
Visualisation Services
Proxy Converts Signals to database record
Wearable Devices
Grid protocol
Display
Clinicians
29
Wearable Device
Sensor bus
  • Easy Plug and Play of Sensors
  • Wireless connection using 802.11
  • Positioning information from GPS
  • Nine wire sensor bus running through wearable to
    allow new sensors

GPS aerial
30
Range of different sensors
  • ECG
  • Oxygen saturation
  • Body movement
  • Accelerometers
  • GPS
  • All plug and play to standard bus
  • Changes reported to the underlying infrastructure

31
Blood Glucose Monitoring
  • Exploring medical devices that rely on
    self-reporting
  • Extends web based system developed by Oxford
    University and e-San Ltd
  • Off-the-shelf GPRS (General Packet Radio Service)
    mobile phone
  • Blood Glucose meter

32
Self Reporting
  • Patient takes measurement
  • Measurement sent via mobile phone to remote
    infrastructure
  • Series of lifestyle questions asked as part of
    the clinical trial
  • Users promoted for compliance.
  • Current trial involves 100 patients

33
Invisible interfaces
  • Inserting the chip

34
Video AIC Novel Interfaces
  • Contextual device interaction

35
Smart Textiles Wearable sensors
  • Current Situation - Wearable sensors are usually
    discrete sensors and electronic components
    attached to the fabric
  • Move to Functionalised Fabrics, e.g. lycra coated
    with conducting polymer
  • can be used to functionalise discrete locations
    on a garment
  • can sense stretch, bending, pressure, movements.
  • Can pick up breathing, heart function
  • Innocuous to the wearer
  • Project (with Prof. Gordon Wallace, Wollongong,
    Australia, and Prof. Alan MacDiarmid, UPENN) aims
    to produce all polymeric devices (electronics and
    sensing materials)

From Rod Shepherd, NCSR
36
(No Transcript)
37
Vmax 229 machine
Exercise Shirt
Logging Laptop
Base Station
38
  • Wish to monitor underfoot pressure distribution
    during movement
  • Communication via Crossbow Mica 2 Dot
  • Advantage over previous methods Simultaneous
    real-time measurements across a number of
    channels (up to 4)
  • Wireless data transfer between the mote which is
    sensor bound and the basestation
  • Useful for biomemedic studies e.g. technique
    during walking / running

39
  • Shoe can be used to detect gait changes when
    performing different movement activities.
  • For e.g. the difference between the heel strike
    and front foot lift-off for walking and running
    is significant
  • Other movements can also be detected where
    movement may not occur but pressure under-foot is
    experienced

40
Pervasive Computing is about sensing
  • Every device and every artefact is now
    potentially a sensor
  • Information collected now dwarfs volumes on the
    web
  • Huge range of applications
  • These sensory inputs provide a context of use for
    applications which can drive information delivery
    and computation.
  • BUT - there is a ridiculously large amount of
    information to deliver and compute over

41
Demonstration Context can work
  • Contextual device interaction

42
Summary of a Pervasive System
  • Pervasive
  • Accessible everywhere in the environment
  • Embedded
  • Appear in everyday devices
  • Nomadic
  • Not tied to a location, can move with the user
  • Adaptable
  • Change behaviour based on the users
    circumstances
  • Powerful and efficient
  • Leverage computing power to provide services
  • Intentional
  • Match their behaviour to the users tasks and
    intentions
  • Eternal
  • No re-booting, no loss of service or data

43
A Systems Research View
  • A massive spectrum of research from Ethnographic
    Studies, through programming models and systems
    infrastructure, to networked sensors
  • Each necessarily characterised by stunning
    point-examples of technology and problem solving.
  • Some toolkits are emerging, such as Smart-ITS,
    EQUIP, TRH, I-AM, SCINET, Context Toolkit,
  • A challenge to draw together these advances to
    provide coherent building blocks, frameworks and
    tools to build small or large scale Pervasive
    Systems.

44
Down to the detail
  • The big problem we address is context

45
Distributed systems
  • The goal of location transparency has been
    assiduously pursued
  • The web, CORBA, e-mail,
  • Remove significance of and usually any
    knowledge of the (absolute or relative)
    locations of agents in a system
  • Allow arbitrary interactions

46
But the world isnt like that 1
  • Networks especially the Internet arent flat
    they have a distinctly non-trivial topology
  • Firewalls etc introduce disconnectedness
  • Objects semantics are critically dependent on
    their location
  • and in a smart space, location changes

This observation also underpins Cardelli and
Gordons ambient calculus
47
But the world isnt like that? 2
  • Everything doesnt happen everywhere
  • Certain activities occur (at least
    preferentially) in particular locations
  • People arent in two places at once
  • Task and space impose a certain degree of
    orderliness on events
  • This happens after that, although not necessarily
    without interruption
  • If I do this here and that there, I have to get
    from here to there
  • The information and support I need while doing
    this may change when I start doing that
  • Not everything is allowed or disallowed, for
    that matter
  • Permission is a remarkably subtle concept
  • Not everything that happens happens for a reason..

48
Relationships
49
Synthesis
  • Each dimension of the system defines a particular
    part of its behaviour, with the dimensions
    inter-related
  • A persons location affects the tasks they may
    (preferentially) perform
  • A person belongs to an organisation, and that
    affects the information they should be able to
    access
  • Many current systems hard-wire some of these
    dimensions together, weakening their capabilities
  • If youre off-site, youre an enemy if you
    acquire this information, you can keep it if
    youre in here, you belong

50
Adaptive Information
51
Food for thought
  • There is more information available at our
    fingertips during a walk in the woods than in any
    computer system, yet people find a walk among
    trees relaxing and computers frustrating.
    Machines that fit the human environment, instead
    of forcing humans to enter theirs, will make
    using a computer as refreshing as taking a walk
    in the woods
  • Mark Weiser, Xerox (1991)

52
Its Information Jim, but now as we know it
53
Pervasive systems in context
  • Pervasive
  • Accessible everywhere in the environment
  • Embedded
  • Appear in everyday devices
  • Nomadic
  • Not tied to a location, can move with the user
  • Adaptable
  • Change behaviour based on the users
    circumstances
  • Powerful and efficient
  • Leverage computing power to provide services
  • Intentional
  • Match their behaviour to the users tasks and
    intentions
  • Eternal
  • No re-booting, no loss of service or data

54
Adaptive Information
55
An outline software system micro-level
Aggregate materials
56
An outline software system macro
Device
Material
57
Adaptive Information Cluster
  • 9m SFI Multi-Disciplinary Research Cluster
  • UCD DCU
  • Mitsubishi Electric Research Labs
  • Environmental Protection Agency
  • Ericsson
  • IBM
  • 6 Principal Investigators over 60 Researchers

58
Informatics
59
Information is critical
  • This new sensorised world with eternal memory
    changes everything!
  • A few hints of this change
  • 10 Billion Web Documents
  • 60 terabytes a day growth
  • Climatologists predict 15 billion gigabytes of
    collected data by 2010
  • This exponential growth in information provides
    a set of new problems which will dominate
    scientific research in information and
    communication technology over the next twenty
    years.

60
From Computer Science to Informatics
  • Informatics is about the engineering of complex
    computational systems that are built on a strong
    theoretical foundation and that respond to
    real-world problems.
  • My view is that UCD provides an environment in
    which Informatics can flourish where this
    separation between Economists and Engineers,
    Information Scientists and Physical Scientists is
    removed. An environment that does not exist in
    any institution internationally. More
    importantly an environment where truly new
    science is envisaged.

61
Integrated Informatics
Diagnostic Imaging
CSI , EEM, Maths, Conway Institute Architecture,
Lanscape Civil Eng
Conway Institute EEM Engineering CSI
Geary Institute
Imaging Viz
Health Informatics
Informatics
Physiotherapy Performance Science
Systems Biology
Medical devices
Climotology.
CONWAY
NCSR / DCU
EEM Engineering
Mathematical Science Complex Systems
62
Conclusions
  • A new era for computing (billions of devices,
    personalised interactions, ubiquitous data
    access, social interaction)
  • This demands fundamental and applied research
  • on novel device technologies (building the
    computer of tomorrow)
  • on computers systems research (building the
    Internet of tomorrow)
  • on knowledge extraction and information delivery
  • on privacy, trust and security.
  • on human interaction with technology
  • on social impact of this new world

63
Conclusions
  • The Systems Research Group is rapidly
    establishing a unqiue test environment for
    Adaptive Information research
  • Through the combination of SRG with NCSR, CDVP,
    and the Personalisation Group, the Adaptive
    Information Cluster now represents the largest
    grouping of Pervasive Computing Researchers in
    Europe.
  • Our vision of Informatics demands
    multi-disciplinary research
  • UCD is uniquely placed to develop realise this
    multi-displinary research capability

64
AcknowledgementsThis work is support by Science
Foundation Ireland, the EU, Enterprise Ireland,
IRCSET, Microsoft and IBM.
  • Professor Paddy NixonSchool of Computer Science
    and Informatics
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