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Aiding intelligent next-gen systems with mobile applications Dr. Jeyakesavan Veerasamy University of Texas at Dallas [email protected] Note: Almost all the content is based on my observations & my experience only.

Aiding intelligent next-gen systems with mobile applications

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Aiding intelligent next-gen systems with mobile applications. Dr. Jeyakesavan Veerasamy University of Texas at Dallas [email protected]. Note: Almost all the content is based on my observations & my experience only. . Agenda. Light sensor – auto turn ON/OFF - PowerPoint PPT Presentation

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Page 1: Aiding intelligent  next-gen  systems  with mobile  applications

Aiding intelligent next-gen systems with

mobile applications

Dr. Jeyakesavan VeerasamyUniversity of Texas at Dallas

[email protected]

Note: Almost all the content is based on my observations & my experience only.

Page 2: Aiding intelligent  next-gen  systems  with mobile  applications

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

Page 3: Aiding intelligent  next-gen  systems  with mobile  applications

Terms

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

Page 4: Aiding intelligent  next-gen  systems  with mobile  applications

Simple Intelligent system

• Light sensor• turns ON/OFF lights automatically– street lights, car lights

• No manual intervention required

Page 5: Aiding intelligent  next-gen  systems  with mobile  applications

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”.

Page 6: Aiding intelligent  next-gen  systems  with mobile  applications

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

Page 7: Aiding intelligent  next-gen  systems  with mobile  applications

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?

Page 8: Aiding intelligent  next-gen  systems  with mobile  applications

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.

Page 9: Aiding intelligent  next-gen  systems  with mobile  applications

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.

Page 10: Aiding intelligent  next-gen  systems  with mobile  applications

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

Page 11: Aiding intelligent  next-gen  systems  with mobile  applications

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

Page 12: Aiding intelligent  next-gen  systems  with mobile  applications

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

Page 13: Aiding intelligent  next-gen  systems  with mobile  applications

Questions & Answers

Dr. Jeyakesavan [email protected]