Sensing, Computing, Communication
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1 The Transformative Fusion of Sensing, Computing, Communication & Control 1
2 Three Key Points 1. Technologies are fusing together to transform industries, companies, employment, and education. 2. This is happening now, in your work. Many industries, many applications, many markets. 3. MATLAB & Simulink form a technical foundation for this fusion and transformation. 2
3 Road & Track 29 January 2015 MIT Technology Review 14 January 2014 Tesla Model S techcrunch.com 19 March
4 Google's solar-drone Internet tests about to go airborne Project Titan gets FCC permission to begin testing Computerworld 13 March 2015 Wired 23 September
5 SpaceX launch illustrates NASA s growing use of private companies time.com 19 March 2015 Cubesats explained and why you should build one Pew Research Center 14 April DIY Space Exploration website
6 6 TU Desden - SOMP
7 An Apple car? Computer firm hires automotive engineers Reports suggest Apple employees are designing and building a car The Guardian 13 February 2015 Forbes 22 January
8 Control Control Sensing Communication Computing Computing 8
9 Control Control Sensing Communication Computing Computing 9
10 Smartphones have 15 or more sensors! Powerful, low-cost sensors and cameras 10
11 Unlimited computing power 11
12 Range of computing choices Custom ASIC Microcontroller FPGA Programmable SOC Microprocessor 12
13 13 4G and beyond
14 Orion Spacecraft Successful first flight (unmanned) Dec. 5, 2014 We navigated from launch to landing using GPS and inertial sensors, all on autogenerated code. Mark Jackson, Orion project engineer, Draper Labs Model-Based Design 14
15 Transformation happens when these combine 15
16 Cars processing video in real time 16
17 MATLAB is used in daily work for development and evaluation of driver assistance functions Engineers having good MATLAB programming skills are in high demand Traffic sign recognition in driver assistance systems- MATLAB at Continental Dr Alexander Behrens, Continental, MATLAB Expo, July 2014, Munich, Germany. Machine Learning done with Image Processing Toolbox Signal Processing Toolbox Statistics and Machine Learning Toolbox 17
18 Model-Based Design reduced development time by about two engineer-years compared with hand-coding. Reutech Multi-purpose radar built with an FPGA Model-Based Design approaches: Separate models in Simulink HDL Coder for FPGA implementation Fixed-Point Designer to convert floating-point design The RSR 210N multipurpose 2D radar system. 18
19 Design, Analyze, and Implement Radar Sensors' Alignment Algorithm with MATLAB - Ling Ma, Delphi, MathWorks Automotive Conference, May 2014, Michigan, USA. Cars controlled with video and radar 19
20 Advanced Driver Assistance Systems (ADAS) Adaptive cruise control Intelligent headlamp control Blind spot detection Lane change assist from Advanced Driver Assistance Systems Market Continental AG, KSAE 2011 Forward collision warning Advanced emergency braking Traffic signal recognition Lane departure warning Lane keeping system Back-up aid 20
21 Automated Highway Systems Dynamic platooning algorithm for intelligent cars 21 École Polytechnique Fédérale de Lausanne
22 Transformation happens when these combine 22
23 Wearables that detect cardiac arrhythmias The fixed-point test platform we built with MATLAB enabled us to conduct rigorous tests at every stage and automatically identify discrepancies in the results. -VivaQuant The arrhythmia service uses an FDA 510k cleared Holter recorder to non-invasively record a 24-hour or longer three-lead ECG 23
24 Mobile healthcare app with cloud-based analytics 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 The AirSonea device connects to an asthma patient s smartphone and communicates with wheeze analysis algorithms on isonea s server. 24
25 25 Thought-controlled prosthetics
26 Transformation happens when these combine 26
27 27
28 28 A Technology Platform with a MATLAB Backbone: A Financial Engineering True Story Edward Byrns, Jr., MunichRE Trading LLC, MATLAB Virtual Conference, March 2015.
29 Machine Learning to Reduce Customer Churn MATLAB made it easy to clean, visualize, and analyze more than 500 gigabytes of data with no additional software or add-ons. MATLAB is one of the differentiators for us on client engagements. 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 29
30 Rapid and reliable transmission of satellite data We built a communications system capable of 1200 Mbps. With Simulink, for the first time I can see past the noise effect and understand how distortion is affecting the link. Without those simulations it would be impossible for me to show management that the system is going to work. Digital Globe 30
31 Big Data from the Internet of Things Fleet Analytics Sensor Analytics Vehicle Health Monitoring Asset Data Analytics Financial Trading 31 Healthcare Predictive Analytics
32 32 Smart Emergency Response System
33 How will we design these Control multi-domain systems? Sensing Communication Computing 34
34 Human Machine Interface (HMI) Is Transformed Primary Flight Display Instrument Cluster 35 Heads-up Display Images provided by DiSTI Corp. Reused with permission. Images provided by Presagis Corp. Reused with permission. Center Stack
35 Model-Based Design for HMI Development Complete design modeled and tested with MATLAB, Simulink, and Stateflow 36
36 Design tools for wireless communications NEW in R2015a Antenna Toolbox 37 NEW releases in R2015a Communications System Toolbox LTE System Toolbox Phased Array System Toolbox
37 How will we test and verify Control them? Sensing Communication Computing 38
38 Certification standards for safety & reliability... ARP-4754 DO-254 DO-178 Eurocopter France Air Conditioning System design in Simulink DO-178 Airbus UK and France Fuel Management Systems Simulink Verification and Validation to check compliance Embedded Coder for C code for software verification BAE USA and UK Flight Control Systems 39 EADS USA and France Motor Drive Unit
39 ... appearing across industries ISO EN IEC GM USA Hybrid Powertrain IEC Alstom France Propulsion Control Systems IEC Weinmann Medical DE Transport ventilator Alstom Grid UK HDVC Power Systems MTU Germany Nuclear Emergency Generators 40
40 How will students Control Control prepare for Sensing transformative Communication fusion? Computing Computing 42
41 By spending less time on HW/SW configuration Rubik s Cube Solver Weather Station Sensing Setup Right Libraries Right Hardware Settings Idea Control Computing Right Tool Versions Right Compilers Communication Coding and Fixing Mistakes Autonomous Boat Soccer- Playing Robot Realization 43
42 And more time on systems using Project-Based Learning... Control Idea Sensing Setup Tools Communication Computing Realization 44
43 45 Student projects of sensing, computing, communication, and control - in action
44 46 Student projects of sensing, computing, communication, and control - in action
45 Demand for the T-shaped engineer... Sensing Computing Communication Broad knowledge Control Deep knowledge met with Project-Based Learning. 47
46 in a world of distributed innovation. WELCOME TO THE MAKER- INDUSTRIAL REVOLUTION 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 48 How GE, Local Motors, and an army of DIY inventors are rebuilding American manufacturing 2015 Popular Science, 15 January
47 Control Control Sensing Communication Computing Computing 49
48 Three Key Points 1. Technologies are fusing together to transform industries, companies, employment, and education. 2. This is happening now, in your work. Many industries, many applications, many markets. 3. MATLAB & Simulink form a technical foundation for this fusion and transformation. 50
49 Next Steps Attend the talks and exhibits Talk to your colleagues from MathWorks and other companies and academies Learn from each other, share best practices across industries and applications Use these tools and methods to transform your application and industry! 51
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