1© 2015 The MathWorks, Inc.

Get More From Your Data

with Data Analytics

Francesca Perino

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Buildings have thermodynamic properties

𝜕𝑢

𝜕𝑡− 𝛼

𝜕2𝑢

𝜕𝑥2+𝜕2𝑢

𝜕𝑦2+𝜕2𝑢

𝜕𝑧2= 0

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Temperatures change

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Electricity demand varies

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Humans have comfort bounds

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𝜕𝑢

𝜕𝑡− 𝛼

𝜕2𝑢

𝜕𝑥2+𝜕2𝑢

𝜕𝑦2+𝜕2𝑢

𝜕𝑧2= 0

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1. Diverse and/or Big Data

2. Advanced Algorithms

3. Deployment

Traits of Data Analytics applications

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Why MATLAB?

Develop embedded

systems with analytics

powered functionality

3

Enable Domain

Experts to be

Data Scientists

2

Analytics that increasingly require both business

and engineering data

1

Data Scientist

Embedded Systems

DATA

• Engineering, Scientific, and Field

• Business and Transactional

Business Systems

Develop analytics to run on both enterprise and

embedded platforms

4

13

Why MATLAB?

Develop embedded

systems with analytics

powered functionality

3

Enable Domain

Experts to be

Data Scientists

2

Data Scientist

Smarter Embedded Systems

DATA

• Engineering, Scientific, and Field

• Business and Transactional

Business Systems

Develop analytics to run on both enterprise and

embedded platforms

4

Analytics that increasingly require both business

and engineering data

1

14

Business and Engineering Data

“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.”

Dr. G Subrahmanya VRK Rao, Cognizant

File I/O

• Text

• Spreadsheet

• XML

• CDF/HDF

• Image

• Audio

• Video

• Geospatial

Repositories

• Databases (SQL)

• NoSQL

• Hadoop

File I/O

• Text

• Spreadsheet

• XML

Business and Transactional Data Engineering, Scientific, and Field Data

Web Sources

• HTML

• Mapping

• Financial datafeeds

• RESTful

• JSON

Communication Protocols

• CAN (Controller Area Network)

• DDS (Data Distribution Service)

• OPC (OLE for Process Control)

• XCP (eXplicit Control Protocol)

Real-Time Sources

• Sensors

• GPS

• Instrumentation

• Cameras

• Communication systems

• Machines (embedded systems)

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Accessing Data

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Datastore

HDFS

Reduce

Node

Node

Node Data

Data

Data

Map

ReduceMap

ReduceMap

Map Reduce

Map

Map

Reduce

Reduce

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Table

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Preprocessing Data

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Signal Processing

cheby2

filter

rms

pwelch

periodogram

xcov

findpeaks

movmean

movstd

…

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Image Processing

Perform image processing, analysis, visualization, and algorithm development

Image display and exploration

Image enhancement

Image analysis

Morphological operations

Image registration

Geometric transformation

ROI-based processing

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Feature Engineering – Extracting Information from Data

Data type Common Techniques for Deriving Features

Sensor data Peak analysis

Pulse and transition metrics

Spectral measurements (power, bandwidth, mean frequency,

median frequency)

Image and video data Bag of visual words

HOG (Histogram of Oriented Gradients)

Minimum Eigenvalue algorithm

Local feature descriptors

Edge detection

Transactional data Decomposing timestamps into components (day, month, day of

week, etc.)

Calculation of aggregate values

22

Why MATLAB?

Develop embedded

systems with analytics

powered functionality

3

Analytics that increasingly require both business

and engineering data

1

Data Scientist

Smarter Embedded Systems

DATA

• Engineering, Scientific, and Field

• Business and Transactional

Business Systems

Develop analytics to run on both enterprise and

embedded platforms

4

Enable Domain

Experts to be

Data Scientists

2

23

Enabling Domain Experts to be Data Scientists

Symbolic

Computing

Neural

Networks

OptimizationSignal

Processing

Image

Processing

Control

Systems Financial

Modeling

Apps Language

Machine

LearningStatistics

“MATLAB has helped accelerate our R&D and deployment with its robust numerical algorithms, extensive visualization and analytics tools, reliable optimization routines, support for object-oriented programming, and

ability to run in the cloud with our production Java applications.”Borislav Savkovic, BuildingIQ

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Apps - Classification Learner app

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Redesigned execution engine runs MATLAB code faster

– All MATLAB code can be JIT compiled

– A platform for future improvements

Language - MATLAB Execution Engine

The examples of all FSDA functions have been monitored under R2012a,

R2014b, R2015a, R2015b. Results seem to indicate that, generally, on

computationally intensive mathematical/statistical function R2015b yields

remarkable time improvements.

26

Why MATLAB?

Enable Domain

Experts to be

Data Scientists

2

Analytics that increasingly require both business

and engineering data

1

Data Scientist

Smarter Embedded Systems

DATA

• Engineering, Scientific, and Field

• Business and Transactional

Business Systems

Develop analytics to run on both enterprise and

embedded platforms

4Develop embedded

systems with analytics

powered functionality

3

27

Smarter Embedded Systems

INTEGRATION

IMPLEMENTATION

DESIGN

TE

ST

AN

D V

ER

IFIC

AT

ION

RESEARCHREQUIREMENT

S

MCU DSP FPGA ASIC

VHDL,

VerilogC, C++

Environment Models

Physical Components

Algorithms

Structured

Text

PLC

GM

Climate control

Airbus

Battery management

Daimler

Cruise controller

manroland

Printing presses

Sonova

Hearing implantsWeinmann

Transport ventilator

Festo

Industrial robots

FLIR

Thermal imaging

ABB

Smart Grid controller

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MATLAB Code Generation

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C Code Generation

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Why MATLAB?

Develop embedded

systems with analytics

powered functionality

3

Enable Domain

Experts to be

Data Scientists

2

Analytics that increasingly require both business

and engineering data

1

Data Scientist

Smarter Embedded Systems

DATA

• Engineering, Scientific, and Field

• Business and Transactional

Business Systems

Develop analytics to run on both enterprise and

embedded platforms

4

31

Where does the processing happen?

Devices Business Systems

Visibility Self, Maybe Neighbors Entire System

Power Battery (Low) Grid (Unlimited)

Processing Microprocessor (Low) CPU’s (Unlimited)

Storage Memory (Minimum Buffer) HD’s (Unlimited)

Updates Difficult Easy

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Why not transfer all the data?

1. Data privacy concerns

2. Cost of network/storage

3. Power required to transmit data from device (for wireless)

4. Response time

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Splitting computation

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Smart Systems: Wearable Healthcare Technology

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MATLAB

ExcelAdd-in

Hadoop

MATLAB

Compiler

StandaloneApplication

Deploying Algorithms to Enterprise Systems

MATLAB Compiler enables sharing MATLAB programs without integration programming

MATLAB Compiler SDK provides implementation and platform flexibility for software developers

MATLAB Production Server provides the most efficient development path for secure and

scalable web and enterprise applications

MATLAB

Compiler SDK

C/C++

Java

.NET

MATLABProduction

Server

Python

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Enterprise Integration – Forecasting Model

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MATLAB Differentiators

Develop embedded

systems with analytics

powered functionality

3

Enable Domain

Experts to be

Data Scientists

2

Analytics that increasingly require both business

and engineering data

1

Data Scientist

Smarter Embedded Systems

DATA

• Engineering, Scientific, and Field

• Business and Transactional

Business Systems

Develop analytics to run on both enterprise and

embedded platforms

4

38

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