5. Body Level One
Since the earlier stages of Internet of Things (IoT) network development many
authors have attempted to define this system in many forms, including Internet
of Everything, Internet of Anything, Internet of People,
Internet of Signs, Internet of Services, Internet of Data or
Internet of Processes, according to (Oriwoh & Conrad, 2015), and the
study conclusions led to a definition that is currently satisfactory, i.e., IoT
represents ‘anything at all, depending on requirements’.
C. Cornel Ph. D, “The Role of Internet of Things for a Continuous Improvement in Education,” vol. 2, no. 2, pp. 24–31, 2015.
14. Body Level One
Smart Transportation, Smart Logistics,
Smart parking
• traffic lights - traffic signal control systems
• car parks - car navigation, parking guidance
• toll-booths - automatic toll collection
• roads and bridges - weather information, bridge de-icing
• ePolice system - automatic number plate recognition,
• traffic flow - traffic speed, density, traffic jams, road quality
• the in-vehicle eCall - automatic incident detection
(vehicle identification, the direction the vehicle was travelling, incident, time, and
precise location)
15. Body Level One
Smart traffic
Smart Traffic https://ece.uwaterloo.ca/~kan.yang/securitybbcr/vanet.html
17. Body Level One
Smart Places/ Territories
Sketch of a museal field: a smart physical place always in interaction with the virtual
components (web and mobile) of the technological environment
18. Body Level One
Smart shopping center
https://www.mallmaverick.com/system/site_images/photos/000/00
1/704/original/blog_ibeacon5.jpg
https://www.cabotsolutions.com/wp-content/ uploads/2014/08/cabot-ibeacon-
mall-design-blog-size.jpg
19. Body Level One
Smart Home
• monitor air quality
• carbon monoxide concentration,
• barometric pressure,
• color,
• gas leaks,
• humidity,
• hydrogen sulfide levels,
• temperature,
• heating systems,
• fire extinguisher monitoring systems
Services offered by Home Automation are scheduled ahead and user controlled
22. Body Level One
Smart Education
how
to support the development of the personalized and adaptive learning by
capturing, analysing and directing of e-learning data towards improving
learning and teaching
to create smart environments
to use smart environments for learning
to use smart technology in classroom
ST is a bunch of different teaching methods and strategies for teaching
23. Body Level One
Smart School
In 1997, Malaysia introduced the concept of Smart schoolhouse. About
ninety pilot schools were equipped with computers to meet the challenges
of the 21st century
2012 NY Education Reform Commission was established to build out
schools and classrooms for the 21st century – equip classrooms with tablets,
laptops, interactive whiteboards, wireless Internet access, and high-speed
broadband connectivity
Usually "smart" means IoT solutions but in educational studies it is
completely different (so far).
24. Body Level One
Learning
Analytics
STEM education
A new
generation
solutions for
Smart
Schoolhouse
Smart
Building
Smart
Logistics
eHealth
Smart Schoolhouse
Internet of Things
25. Body Level One
Sensors in the classroom
• Sound, Acoustic, Light
• Machine vision/ optical ambient light sensors
• Acceleration/ tilt sensors
• Position and presence sensors
• Motion, velocity and displacement sensors
• Humidity, temperature and moisture sensors
• Leaks and levels sensors
• Electric and magnetic sensors
• Wearable sensors
26.
27. Body Level One
Eye tracking
https://www.tobiipro.com/product-listing
http://www.tobiipro.com/imagevault/publishedmedia/icl4o9hzditjncoslyiw/TobiiPro_classroom_eye_tracking_course_2_1.jpg
28. Body Level One
Position, presence,
motion, displacement
https://appinventiv.com/newimages/ibea-img.png
http://cdn.infoq.com/statics_s1_20170411-0445/resource/articles/smoothing-human-trajectory-streams/en/resources/1.jpg
31. Body Level One
STEM education
• Sound, Acoustic, Light
• Machine vision/ optical ambient light sensors
• Acceleration/ tilt sensors
• Position and presence sensors
• Motion, velocity and displacement sensors
• Humidity, temperature and moisture sensors
• Leaks and levels sensors
• Electric and magnetic sensors
• Wearable sensors
32. Body Level One
STEM education
http://losnuevosguerreros.org/pluginfile.php/16/mod_glossary/entry/951/Smartphone-Sensors1.jpg
35. Body Level One
References
C. Cornel Ph. D, “The Role of Internet of Things for a Continuous Improvement in Education,” vol. 2, no. 2, pp. 24–31, 2015.
J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Futur. Gener. Comput. Syst.,
vol. 29, no. 7, pp. 1645–1660, 2013.
Hussain, F. (2017) Internet of Things: Building Blocks and Business Models. Springer International Publishing ISBN 978-3-319-55404-4, DOI 10.1007/978-3-319-
55405-1
Guillemin, P. and Friess, P. (2009) “Internet of things strategic research roadmap,” The Cluster of European Research Projects, Tech. Rep., September 2009,
http://www.internet-of-things-research.eu/pdf/IoT Cluster Strategic Research Agenda 2009.pdf
Xu, L. D., & He, W. (2014). Internet of things in industries: A survey. IEEE Transactions on Industrial Informatics, 10, 2233–2243
J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Futur. Gener. Comput. Syst.,
vol. 29, no. 7, pp. 1645–1660, 2013.
H. Sundmaeker, P. Guillemin, P. Friess, S. Woelfflé, Vision and challenges for realising the Internet of Things, CERP-IoT – Cluster of European Research Projects
on the Internet of Things, 2010.
Valarmathi, M. , Sumathi, L., & Deepika, G. (2016). Survey on Node Discovery in Mobile Internet of Things ( IoT ) Scenarios.
Kusmin, M., Laanpere, M., Saar, M., Rodríguez-Triana, M, J. (2017) Smart Schoolhouse as a Data-Driven Inquiry Learning Space for the Next Generation of
Engineers IEEE EDUCON - Global Engineering Education 2017
Hussain, F. (2017) Internet of Things: Building Blocks and Business Models. Springer International Publishing ISBN 978-3-319-55404-4, DOI 10.1007/978-3-319-
55405-1
Santorelli, J., Morawski, R., Lengoc, T., (2013) Remote control sensor car for vehicle to vehicle communication testing. department of electrical & computer
engineering, broadband communications re- search lab, mcgill university, 2011. Retrieved may 14, 2013
Booysen, m. J. Et al. Machine-to-machine communications in vehicular networks. Ksii transactions on internet and information systems, v. 6, n. 2, p. 529–546, 2012.
Doi.10.3837/tiss.2012.02.005.