how to build an autonomous anything - matlab expo · autonomous service for predictive maintenance...
TRANSCRIPT
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1© 2015 The MathWorks, Inc.
How to build an autonomous anything
Jason Ghidella
Simulink Platform Marketing Manager
MathWorks
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Autonomous Technology
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Autonomous Technology
Having the power for self-governance
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Autonomous Technology
Provides the ability of a system to act
independently of direct human control
under unrehearsed conditions
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Capabilities of an Autonomous System
Sense
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Capabilities of an Autonomous System
Sense
Perceive
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Capabilities of an Autonomous System
Learning Algorithms
Optimization
Sense
Perceive
Decide
& Plan
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Capabilities of an Autonomous System
Control Algorithms
Sense
Perceive
Decide
& Plan
Act
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Autonomous Technology Transfers Responsibility to Computers
Human
Computer
Resp
on
sib
ilit
y
Degree of Autonomy
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Bazille’s Studio
Bazille 1870Shuffleton’s Barbershop
Rockwell 1950
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Autonomous Artistic Style Classification
Rutgers University
Image
Feature
Extraction
Visual Features
Genre
Classifier
(SVM)
Artist
Classifier
(SVM)
Style
Classifier
(SVM)
Style:
Regionalism
Genre:
Interior
Artist:
Rockwell
Machine
Learning
Classification
Sense
Perceive
Decide
& Plan
Act
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Where to add autonomy with perception?
Analyze more data
Reduce bias
Reduce variability
Save time
Improve performance
Determine
Loudspeaker
Quality
Virtual Semiconductor
Manufacturing Calibration
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Where to add autonomy with perception?
Analyze more data
Reduce bias
Reduce variability
Save time
Improve performance
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Where to add autonomy with perception?
Analyze more data
Reduce bias
Reduce variability
Save time
Improve performance
Find out more:
딥러닝기반응용프로그램작성기법
엄준상과장 Joseph Eom
Track 2 13:10-13:40
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Autonomous Service for Predictive Maintenance
Which sensor values should they use?
Decide
& Plan
Act
Perceive
Sense
Pressure
Other
variables
Vibration Timing
Temperature
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Normal Operation Maintenance NeededMonitor Closely
Autonomous Service for Predictive Maintenance
Sense
Act
Perceive
Decide
& Plan
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What are the best predictors?
Data
Models
Jet Engine Monitoring
Name of Presenter
Time and Location
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What are the best predictors?
Data
Models
Jet Engine Monitoring
Find out more:
[고객사례](반도체분야)
MATLAB을이용한계측공정분석시스템구축
SK하이닉스
Track 2 15:40 – 16:10
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Autonomous Glucose Level Management
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Autonomous Glucose Level Management
Bigfoot Biomedical
Sense
Perceive
Decide
& Plan
Act
Continuous
Glucose Monitor
Target
Glucose
Level
+ -
Insulin PumpPerson
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Autonomous Glucose Level Management
Bigfoot Biomedical
Continuous
Glucose Monitor
Target
Glucose
Level
+ -
Insulin PumpPerson
+ +
Mobile App
Sense
Act
Perceive
Decide
& Plan
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Autonomous Glucose Level Management
Bigfoot Biomedical
Continuous
Glucose Monitor
Target
Glucose
Level
+ -
Insulin Pump
+ +
Mobile App
Sense
Act
Decide
& Plan
Perceive
Person
Virtual Lab
Simulink, Stateflow
Polyspace
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Autonomous Glucose Level Management
Bigfoot Biomedical
Continuous
Glucose Monitor
Target
Glucose
Level
+ -
Insulin Pump
+ +
Mobile App
Person
Perceive
Decide
& Plan
Act
Sense
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Autonomous Glucose Level Management
Bigfoot Biomedical
Continuous
Glucose Monitor
Target
Glucose
Level
+ -
Insulin Pump
+ +
Mobile App
Person
Perceive
Decide
& Plan
Act
Sense
Virtual Clinic
MATLAB, Toolboxes
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Virtual Clinic
Generating data through simulation
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Virtual Clinic
Scaling computations to simulate 50 million patients a day
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Where will you get your data?
Simulation
Public repositories
In the lab
In the field
Internet of Things (IoT)
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Where will you get your data?
Simulation
Public repositories
In the lab
In the field
Internet of Things (IoT)
Find out more:
[고객사례]통계및기계학습을이용한생체물리정보기반퇴행성신경계질환예측
(주)제이어스전진홍박사
Track 1 16:20 – 16:50
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CNH Develops Intelligent Filling System for Forage Harvesters
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Autonomous Trailer Filling
Control Algorithms
Perceive
Act
Sense
Decide
& Plan
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Autonomous Trailer Filling
Control AlgorithmsAct
Decide
& Plan
Perceive
Sense
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Autonomous Trailer Filling
Control Algorithms
3D Camera
Computer vision and
controls algorithms
• User Input
• Visualization
Embedded Platform
MPC5121e
CANActuators
ECUAct
Perceive
Decide
& Plan
Sense
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Autonomous Trailer Filling
Control AlgorithmsMonitoring
CANEmbedded Coder
3D Camera
Actuators
ECU
• User Input
• Visualization
• Computer
Vision
• Controls
Embedded Platform
MPC5121e
Act
Perceive
Decide
& Plan
Sense
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How will you put it into production?
Embedded Systems
IT Systems
Desktop Apps
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How to build an autonomous anything
Focus on Perception
• Data-driven
• Model-driven
• Reduce to actionable data
• Take advantage of Big Data
• Use simulation to supplement available data
• Address the architecture
• Leverage Model-Based Design for embedded
• Automate integration with enterprise IT systems
• Look for autonomy in creative places
• Do more than manually possible
Use the Best Predictors
Get the Right Data
Flow to Production
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What is your
autonomous anything?
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MATLAB
Expo 2017
시간 일정
09:40-09:50 (10)환영사
매스웍스코리아이종민대표이사
09:50-10:20 (30)고객기조연설 : 제4차산업혁명과 MATLAB을통한대학교육의혁신
수원대학교이남식제2창학위원장
10:20-10:50 (30)MathWorks 기조연설 : How to Build an Autonomous Anything
Jason Ghidella 이사
10:50-11:20 (30)R2016b와 R2017a를 중심으로한새로운기능
이영준부장
11:20-11:40 (20) 휴식및부스관람
Track 1 Track 2 Track 3 Subtrack 1 Subtrack 2
신호처리, 컴퓨터비전그리고무선기술
엔지니어링데이터분석및애널리틱스솔루션
모델기반설계를통한임베디드시스템개발
Tech Talk Special 1 Tech Talk Special 2
11:40-12:10 (30)
컴퓨터비전의최신기술(Deep Learning, 3D Vision,
Embedded Vision)
빅데이터처리및머신러닝기법
다중센서기반자율시스템의모델기반설계및개발
김종남차장 엄준상과장 이제훈차장
12:10-13:10 (60) Lunch
13:10-13:40 (30)
위상배열레이더를위한시스템설계
딥러닝기반응용프로그램작성기법
[고객사례]Active Seat Belt
제어로직을이용한 AEB
제동시나리오승객거동해석
Simscape Power
Systems를이용한전력전자설계및시뮬레이션
MATLAB 라이브에디터소개
Rick Gentile 엄준상과장 현대모비스 강효석과장 송완빈대리13:40-13:50 (10)
13:50-14:20 (30)
[고객사례]신호분석시스템개발사례
엔터프라이즈시스템에서의빅데이터
애널리틱 애플리케이션구축을위한 MATLAB 기능
Simscape를이용한메케니컬설계와멀티도메인시뮬레이션통합
Polyspace제품군을활용한 MISRA C:2012
가이드라인및실행시간오류검사
Simulink를이용한손쉬운 AUTOSAR 코드
구현
LIG넥스원 성호현차장 강효석과장 유용출과장 김종헌부장
14:20-14:30 (10)
14:30-15:00 (30)
신호처리어플리케이션을위한전처리설계및특징추출
방법
Internet of Things(IoT) 를위한애널리틱개발및적용
고신뢰성시스템을위한모델기반설계에서의검증
Automated Driving
툴박스소개
비디오프로세싱서브시스템의설계및하드웨어타겟팅기법
Rick Gentile 성호현차장 이영준부장 이제훈차장 정승혁과장
15:00-15:40 (40) 휴식및부스관람
15:40-16:10 (30)5G 무선통신시스템설계
[고객사례](반도체분야)
MATLAB을이용한계측공정분석시스템구축
Simulink와 Embedded
Coder를이용한최적코드생성
김종남차장 SK하이닉스 김종헌부장
16:10-16:20 (10)
16:20-16:50 (30)
[고객사례]통계및기계학습을이용한생체물리정보기반퇴행성신경계질환예측
MATLAB 과 Simulink 기반병렬컴퓨팅기법
[고객사례]모델기반설계및AUTOSAR 적용한 BMS
솔루션개발
(주)제이어스전진홍박사 정승혁과장 LG화학조원태부장
16:50-17:00 (10) 경품추첨
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