TheTransformative Fusion of

Sensing, Computing,

Communication & Control

1

Three Key Points

1. Data driven decisions and algorithm design are accelerating innovation.

2. Four core technologies are fusing together to transform industries, companies, employment, and education.

3. MATLAB & Simulink are driving algorithm innovation, accelerating this fusion and transformation.

2

MIT Technology Review 14 January 2014

Tesla Model S

Road & Track 29 January 2015

Entrepreneur 3 August 2015

3

The Verge 29 July 2015

The Guardian 28 July 2015

New Scientist 5 August 2015

4

Space Daily 26 December 2014

Popular Mechanics 10 August 2015

PR Newswire 10 August 2015

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XI-V CubeSat

An Apple car? Computer firm hires automotive engineersReports suggest Apple employees

are designing and building a car

The Guardian 13 February 2015

Forbes 29 July 2015

Cult of Mac 28 July 2015

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Four Technologies

Computing

Control

Communication

Computing

Control

Sensing

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Computing

Control

Communication

Computing

Control

Sensing

Four Technologies

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Smartphones have15 or more sensors!

Powerful, low-cost sensors and cameras

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Parallel Computing Toolbox

MATLAB

MATLAB Distributed Computing Server (MDCS)

Unlimited computing power

NEW in R2015b:Run MATLAB code faster with new execution engine

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Range of computing choices

Microcontroller

Programmable SOC

Custom ASIC

Microprocessor

FPGA

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4G and beyond

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“The guidance

and control

algorithms were

auto-generated

C via Simulink.”

Christopher Krupiarz, New Horizons Flight Software,

Johns Hopkins APLOn Reddit, July 2015

Model-Based Design

New Horizons

Flyby Mission of Pluto

July 14, 2015

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Cars processing video in real time

Computing

Computing

Sensing

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“Traffic sign recognition in driver assistance systems- MATLAB at Continental”Dr Alexander Behrens, Continental, MATLAB Expo,July 2014, Munich, Germany.

“MATLAB is used in daily work for development and evaluation of driver assistance functions”

“Engineers having good MATLAB programming skills are in high demand”

Machine Learning done with

Image Processing ToolboxSignal Processing ToolboxStatistics and Machine Learning Toolbox

NEW in R2015a:Classification Learner app for Machine Learning

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Computing

Computing

Sensing

“Design, Analyze, and Implement Radar Sensors' Alignment Algorithm with MATLAB” -Ling Ma, Delphi, MathWorks Automotive Conference, May 2014, Michigan, USA.

Cars controlled withvideo andradar

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Computing

Computing

Sensing

Advanced driver assistance systems

from “Advanced Driver Assistance Systems Market”Continental AG, KSAE 2011

Adaptive cruise

control

Forward collision warning Advanced

emergency braking

Traffic signal recognition

Intelligent headlamp

control

Lane change assist

Back-up aid

Lane departure warning

Lane keeping system

Blind spot detection

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MATLAB EXPO 2015:E1: Rapid Prototyping of Advanced Driver Assistance Systems

13:00-13:50

Cooperating assistance systems - AHS

École Polytechnique Fédérale de Lausanne

Dynamic platooning algorithm for intelligent cars

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Fleet Analytics

Vehicle Health Monitoring

Healthcare Predictive AnalyticsFinancial Trading

Asset Data Analytics

Sensor Analytics

Big Data from the Internet of Things

MATLAB EXPO 2015:C1: The Evolution of Machine Learning in the Big Data/IoT Era

13:00-13:50

Data-Intensive Analytics

Geographical modeling to predict losses

“MATLAB handles huge amounts of data, features

highly sophisticated graphics, and … interfaces for

importing and exporting data into other

applications, such as GIS, Excel, or text documents.”

– SwissRE

“No matter what industry our client

is in, and no matter what data they

ask us to analyze—text, audio,

images, or video—MATLAB enables

us to provide clear results faster.”

– Cognizant

“MATLAB made it easy to clean, visualize, and

analyze more than 500 gigabytes of data with

no additional software or add-ons.”

Machine Learning to detect customer churn

Autonomous Control Systems Laboratory Ltd. Mini-Surveyor, Kikuchi Seisakusho Company

2828Phantom 3 drone, DJI

Situational awareness

Survivor location

Structural analysis

Supply delivery

Fire extinguishment

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Smart Emergency Response System

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The AirSonea device connects to

an asthma patient’s smartphone

and communicates with wheeze

analysis algorithms on iSonea’s

server.

“MATLAB enables us to

rapidly develop, debug, and

test sound-processing

algorithms, and MATLAB

Coder simplifies the process

of implementing those

algorithms in C.

There’s no other

environment or

programming language

that we could use to

produce similar results in

the same amount of time.”

- iSonea

Mobile healthcare app with cloud-based analytics

Thought-controlled prosthetics

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Communication

Computing

Control

Sensing

How will youdesign these multi-domain systems?

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Human Machine Interface (HMI)

Is Transformed

Instrument Cluster

Center StackHeads-up Display36Images provided by DiSTI Corp. Reused with permission.

Images provided by Presagis Corp. Reused with permission.

Model-Based Design

for HMI Development

Complete design modeled and tested with MATLAB, Simulink, and Stateflow 37

Design tools for communications

and sensor processing

NEW in R2015a

Antenna ToolboxZynq - Software-Defined Radio support

NEW releases in R2015a

Communications System ToolboxLTE System ToolboxPhased Array System Toolbox

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Alcatel-Lucent (China)

Design and verify algorithms for LTE-Advanced base stations

Ericsson (Sweden)

Develop FPGA-based radio test bed for next-generation wireless network

Design and test advanced

communication systems

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Communication

Computing

Control

Sensing

How will you test and verify them?

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Certification standards

for safety & reliability . . .

The TaxiBot from Israel Aerospace Industries.

EADS USA and FranceMotor Drive Unit

Airbus UK and FranceFuel Management Systems

DO-254

DO-178

DO-178

ARP-4754

BAE USA and UKFlight Control Systems

“Being able to run a model, see

that it’s working right, and then

generate certifiable code is a

big advantage.”

Zeev Gabbin

Israel Aerospace Industries

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Alstom FrancePropulsion Control Systems

Weinmann Medical DE Transport ventilator

GM USAHybrid Powertrain

MTU GermanyNuclear Emergency Generators

EN-50128ISO 26262

IEC 61508

IEC 62304

IEC-60880

Alstom Grid UKHDVC Power Systems

. . . appearing across industries

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Computing

Control

Communication

Computing

Control

Sensing

How willstudentsprepare for transformative fusion?

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Communication

Computing

Control

Sensing

Idea

Realization

SetupRubik’s

Cube Solver

Autonomous

Boat

Weather

Station

Soccer-

Playing

Robot

Right ToolVersions

Right Libraries

Right Compilers

Right Hardware Settings

Coding and Fixing Mistakes

By spending less time on HW/SW configuration …

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NEW in R2015b:Add-on ExplorerAdd-on Manager MATLAB support for iOS sensors Simulink support for Raspberry Pi 2

Communication

Computing

Control

Sensing

Idea

Realization

Setup

Tools

And more time on systems using Project-Based Learning. . .

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Student projects of sensing, computing, communication, and control - in action

MATLAB EXPO 2015:E4: Active Object Recognition Using a Robot Hand with Tactile Sensors

16:20-17:00

(ROS-Enabled) Dexterous Hand,Shadow Robot Company

Demand for the T-shaped engineer...

Control

Computing CommunicationSensing

Deep knowledge

Broad knowledge

…met with Project-Based Learning.47

… in a world of distributed innovation.

“We’re moving to distributed innovation processes. The innovation going on in the rest of the world can probably overwhelm what companies can do internally.”James Cash, Harvard Business School

WELCOME TO THE MAKER-INDUSTRIAL REVOLUTION

How General Electric, Local Motors, and an army

of DIY inventors are rebuilding American manufacturing

Popular Science, 15 January 2015

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Computing

Control

Communication

Computing

Control

Sensing

Four Technologies

49

Three Key Points

1. Data driven decisions and algorithm design are accelerating innovation.

2. Four core technologies are fusing together to transform industries, companies, employment, and education.

3. MATLAB & Simulink are driving algorithm innovation, accelerating this fusion and transformation.

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• Attend the talks and exhibits

• Talk to others – from MathWorks, other companies, and academics

• Learn from each other, share best practices across industries and applications

• Use these tools and methods to transform your application and industry!

Next Steps

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TheTransformative Fusion of

Sensing, Computing,

Communication & Control

52