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Aiding intelligent next-gen systems with mobile applications

Aiding intelligent next-gen systems with mobile applications. Dr. Jeyakesavan Veerasamy University of Texas at Dallas jeyv@utdallas.edu. Note: Almost all the content is based on my observations & my experience only. . Agenda. Light sensor – auto turn ON/OFF

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Aiding intelligent next-gen systems with mobile applications

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  1. Aiding intelligent next-gen systems with mobile applications Dr. Jeyakesavan Veerasamy University of Texas at Dallas jeyv@utdallas.edu Note: Almost all the content is based on my observations & my experience only.

  2. Agenda • Light sensor – auto turn ON/OFF • Passenger-side Air-bag indicator in car • My airline reservation – what happened? • Motion sensors in home  A/C ON/OFF • Using mobile’s location to save energy? • Collecting personal data : daily exercise • Collecting medical data & input to Doctor • Excitement & Challenges

  3. Terms • Next-generation systems • Intelligence • Big data • Data vs. Information • Mobile applications • Always connected

  4. Simple Intelligent system • Light sensor • turns ON/OFF lights automatically • street lights, car lights • No manual intervention required

  5. Passenger-side “Air-bag” light • Simple requirement: Do not activate passenger-side “air-bag” if no person is there. • What if a person is sitting and weight sensor malfunctioned? • Passenger-side “Air-bag” light • What if light fails? • Does the passenger check all the time? • Compare to “Red light indicator on water-heater”.

  6. My airline reservation • Ticket was booked online 2 months ago • Got stuck in “ON REQUEST” status • Did not trigger an email or phone call • How did the system miss it? • An intelligent system is expected to catch all such conditions

  7. Energy efficiency • Control home A/C unit remotely • Networked appliances can be operated remotely • How to automate it? • Motion sensor – similar to Hotel rooms that require key to turn on lights & AC, but is it better?

  8. Energy efficiency : Adding Intelligence • Use users’ location • As they get near home, turn AC ON? • Does it need more sophistication? • Coming home by walk, bus or car? • Mobile application can do lot of sophisticated computations.

  9. Mobile app to monitor daily exercise • Few approaches: • Manually indicate within the mobile app • Auto-recognize walking • Keep uploading the data to Doctor’s office server periodically. • Intelligent system can process the data every day and raise exceptions to Doctor. • Real data based chart for next Doctor visit.

  10. UTD's Quality of Life Technology Lab • Take Preventive Care to next level for Seniors • Home based data collection for Sleep apnea & Heart problems • Auto-upload data through home Wi-Fi from various sensors • Big-data: intelligent post-processing to find trouble-spots and gives limited information for Doctor to handle, but how much should we trust the software? http://ecs.utdallas.edu/research/researchlabs/QoLT/index.html

  11. Taking it to the next level • Cheaper sensors, 3G/4G network, Mobility • Sensors can communicate with Smartphones through Bluetooth and data can be uploaded via smartphones using 3G/4G network • Alternate option is to collect data continuously and upload it when Wi-Fi is available

  12. Excitement & Challenges • More smartphones & more applications  lot more data will travel over the networks • Intelligence should be both accurate and conservative enough. • Complex data collection – more things can go wrong – need to alert the users • Intelligent networks should not miss the simple triggers

  13. Questions & Answers Dr. Jeyakesavan Veerasamy jeyv@utdallas.edu

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