Dr. Anthony Karageorgos e -mail: karageorgos@teithessaly.gr Τ el . 24410-64712

1. Applied Informatics Laboratory Department of Wood and Furniture Design and Technology Technological Education Institute of Thessaly Greece Project Proposals for Research & Innovation RIS 2014-2020 Dr. Anthony Karageorgos e-mail: karageorgos@teithessaly.gr Τel. 24410-64712

2. Applied Informatics Laboratory Software Development and Support • Website development • Web application development • Developingapplicationsformobile devices • Research and Innovation • Smart Furniture applications • Ambient intelligence • ‘Intelligent’ adaptationandcontrol systems • Monitoring andcoordination of work environments

3. Research & Innovation Areas

4. Smart Furniture Applications Wirelesscommunicationwith other devices ‘Smart’ Table Smartphone ‘Smart’ Furniture Thermostat ‘Smart’ Sofa Users Personalization functionsby users ‘Smart’ Floor

5. Smart Furniture Applications • Smarttable • Touch screen integration • Connectivitywithother devices(mobilephone, tablet) • Smart floor • Person’sposition tracking • Detection of falls(eg elderly, disabled)

6. Smart Furniture Applications • Smart sofa • Connecting to otherdevices (tv, sound system, lights) forautomatic adjustment of the environment • Embedded • sensors • Detectionof • number ofpeople • and attitudes

7. Smart Business Network: Wood & Furniture Sector • Research project with duration 2.5 years started on January 1st 2013 • Funded by the NSRF 2007-2013 (500.000 euro in CERTH) • System based on the use of intelligent software agents for the‘smart’ cooperation between Wood and Furniture enterprises • Focuses on creatingcustomizable product combinations • Emphasis is given on inter-companytransactionsaiming to increase profit

8. Wood & Furniture Enterprise Networking • e-Furniture - ‘Intelligent’ Networking ofWood and Furniture Enterprises • Use of ‘intelligent’ software agents for: • Automated cooperation • Dynamic updating • Recommendations for intercompanycooperation: • Product bundle generation • Task outsourcing

9. e-Furniture: Product Bundle Generation Based on product information, navigation and shopping data Set 1 Partner Α products Creation of product combinations Set2 Partner B products

10. Transnational Ecotouristic Products • Networking enterprises providing eligible ecotouristic services across Europe • Dynamically created, personalized ecotouristic product bundle offers • Customer preferences and provider goals/business rules treated as bundle generation constraints • Unified user interface • Intelligent information system • managementof ecotouristic services • Dynamically adaptive information management (location, profile) • Generation of personalized service packages

11. Example: Ecotouristic Service Bundling in Plastiras Lake Region • Unified presentation of ecotouristic services • Single interfacefor: • Service bundle purchasing • Single reservation point • Dynamic route generation based on profile, location, preferences(points of interest) • Login via external accounts: • Social media (facebook, twitter, instagram) • email • Select the option‘Detect location’ for targeted recommendations

12. Intelligent Recommendations • Creation of ecotouristic service bundles based on: • Location Petra Monastery Selection of a point of interest: Monastery of Petra

13. Intelligent Recommendations (cont’d) • Creation of service bundles based on: • User profile • Selection of activities by users with: • Different age • Different preferences

14. Personalized Recommendations • Creation of service bundles based on: • User profile Personalised Activity Bundles

15. Intelligent City Lighting System Learning typical paths having increased traffic byautomatically increasing luminosity Changing street light color to warn about dangerous weather conditions Changing brightness based on detectionof pedestrian or vehicle presence

16. Intelligent City Lighting System

17. Intelligent City Lighting System: Basic Features • Turnon/offstreet lighting based on: • Time of the day • Lighting conditions • Change brightness based on detected presence in nearby area • Learning typical paths • Changelightcoloringto warn for: • Dangerous weather conditions • High concentration of air pollutants (e.g. smog) • Inform the public through billboards for: • Current weather conditions • Traffic and emergency situations • Concentration of pollutants in each area

18. Intelligent City Lighting System: Benefits • Economic • Economic benefits for the citizens arising from energy savings (37%) • Minimize management and maintenance cost of public lighting system • Social • Increase of safety • Improvement of the city’s image • Improvement in mobility, living and working conditions in the city • Reinforce new professions • Energy Savings • Lower energy consumption • Environmental • Efficient use of energy resources • Contribution to tackling climate change • Reduction of light pollution, CO2 emissions and air pollutants • Creation of green neighbourhoods

19. Further Ideas - Extensions

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24. Applied Informatics Laboratory Department of Wood and Furniture Design and Technology Technological Education Institute of Thessaly Greece Thank You!