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A Cyber-Physical-Social System Based Method
for Smart Citizen in Smart Cities
Hasan Yetis and Mehmet Karakose
~24th International Conference on Information Technology (IT) — Feb 2020
Presented By:
SHASHANK MISHRA
D0829004
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
Layout
•Introduction
•Cyber-Physical Social System (CPSS)
•Proposed System
•Results
•Conclusion
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
Introduction
The smart city concept
integrates information and
communication technology
(ICT), and various physical
devices connected to the IoT
network to optimize the
efficiency of city operations
and services and connect to
citizens.
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
SMART
CITY
Smart
Economy
Smart
Citizen
Smart
Governance
Smart
Transpor-
tation
Smart
Envirom-
ent
Smart
Living
Introduction
Smart economy aims to improve business life cycle, to make easier and faster to find & access business
services, participate in city economic or urban initiatives, communicate with and receive information,
contribute to urban development, while staying open to the global environment.
KEY FACTORS:
 Innovative ways of thinking and acting,
 Comprehensive views at mid and long term to create social, environmental and territorial value,
 Associate all the economic stakeholders, connect them at local scale, considering local into an
expanded spatial approach.
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
 SMART ECONOMY
Finally, the main issue of smart economy is to find out the right solutions which balance the
effects of globalization and urban revolution by a smartly using of technologies.
Introduction
SMART Governance is about using technology to facilitate and support better planning and decision
making. It is about improving democratic processes and transforming the ways that public services are
delivered. It includes e-government, the efficiency agenda and mobile working.
KEY FACTORS:
 Social: Smart government provides citizen friendly & personalized services and allows people & civil society for co-creation with the
government.
 Mobile: Uses mobile technologies like SMS, APPs, Social media, cloud computing and mobile network for public service delivery and
daily affairs.
 Analytics: It can early to make policy decision and action by using big data analytics.
 Radical openness: Provides easy access to information and citizens participation for maintaining transparency, accountability, and
citizen-friendly services.
 Trust: Smart government is committed to providing effective cybersecurity for resilient, available and privacy-based services.
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
 SMART GOVERNANCE
Introduction
Smart Living is the idea to merge
technology into daily life so as to
create a safer, more comfortable,
convenient and sustainable living
environment. The technology in
our daily life can be classified into
six categories: food, medicine,
housing, transportation, education
and entertainment.
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
 SMART LIVING
Introduction
Improved quality of life: More accessible and efficient public
transportation reduces expenses and improves the quality of life for city
residents.
Reduced pollution: Smart transport relies heavily on environmental
policies, such as promoting the use of public transport. This reduces
private car usage, reducing emissions.
Improved public transport safety: Monitoring and tracking of the public
transportation network can help respond quickly to incidents and
emergencies.
Mobility marketplace: The increase in passengers traffic creates a
demand for mobile transportation apps, which help people consume
transportation services across the city.
Smart parking solutions: With the help of sensors, security cameras, and
Internet connectivity, cities can reduce the problem of parking in
congested urban areas by sharing data about available parking to
consumers via mobile apps.
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
 SMART TRANSPORTATION
Introduction
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
 SMART ENVIRONMENT
Cyber Physical Social System (CPSS)
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
Cyber-Physical-Social systems (CPSSs) are the
extension of Cyber-Physical systems (CPS), which
seamlessly integrate cyber space, physical space and
social space. CPSSs promote the information resource
from single space to tri-space, so as to lead a
revolution in data science (DS).
“A social space is physical or virtual space such as a
social center, online social media, or other gathering
place where people gather and interact. Some social
spaces such as town squares or parks are public
places; others such as pubs, websites, or shopping
malls are privately owned and regulated.”
PROPOSED SYSTEM
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
PART - I
Application used by
1) CITIZEN 2) FIELD TEAMS
PART - II
Algorithm which makes us able to
make the task assignment dynamically
and efficiently in cyber layer
REPORTED PROBLEMS
Problem Type
First Report date & time
How many times reported
Location
Living people around the address (Population)
PROBLEM TYPE
Faulty Street Light
Illegal billboards
Illegal waste dump
Broken Street
Others …. etcEXPERT
Expertise Type
Location
Jobs done
PROPOSED SYSTEM
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
PART - I PART - II
PROPOSED SYSTEM
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
PART – II (ALGORITHM FACTORS)
• Algorithm divides Map into matrix (for e.g. 1000X1000)
• Traffic congestion between each points.
• No of people living around these points (affected by problem).
• Experts are randomly assigned in locations
• Problem Assignment (factors):
• Arrival Time
• Average distance
• Rate of traffic jam
• Waiting time of Affected people
RESULTS
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
Total Distance (m) Total Time (min)
Before After % Gain Before After % Gain
Scenario 1 10.867 8.265 24 % 35 25 29 %
Scenario 2 80.963 72.091 11 % 228 199 13 %
Scenario 3 210.238 192.675 8 % 614 557 9 %
• Sample problem were randomly generated by the computer to test
the proposed method.
• Assuming a 1000 points graphical map.
• 10 teams are randomly assigned to map.
Conclusion
• It is noticed that CPSS has positive effect on the city.
• It is necessary that smart citizens aiming for more
conscious citizen should be used to develop the smart
city community.
• Social factors with collaboration with CPS can provide a
better result in development of smart cities.
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
References :
[1] C. Manville et al., “Mapping Smart Cities in the EU, Directorate General
for Internal Policies,” Policy Department A: Economic and Scientific Policy,
Jan. 2014.
[2] N. V. Lopes, “Smart governance: A key factor for smart cities
implementation,” IEEE International Conference on Smart Grid and Smart
Cities, Singapore, July 2017.
[3] M. P. Castells, J. J. M. Dura, J. J. S. Zapater, R.V. C. Gimeno, “Use of ICT in
Smart Cities. A practical case applied to traffic management in the city of
Valencia,” Smart Cities Symposium Prague, Prague, Czech Republic, June
2015.
[4] R. Abhishek, S. Zhao, D. Medhi, “SPArTaCuS: Service priority adaptiveness
for emergency traffic in smart cities using softwaredefined networking,”
IEEE International Smart Cities Conference, Trento, Italy, Sept. 2016.
[5] A. Sharif et al., “Internet of things - smart traffic management system for
smart cities using big data analytics,” 14th International Computer
Conference on Wavelet Active Media Technology and Information
Processing, Chengdu, China, Dec. 2017.
[6] J. Yuan, Y. Zheng, X. Xie, G. Sun, “T-drive: Enhancing driving directions
with taxi drivers' intelligence,” IEEE Transactions on Knowledge and Data
Engineering, vol. 25, no. 1, pp. 220-232, 2013.
[7] I. Aydin, M. Karakose, E. Karakose, “A navigation and reservation based
smart parking platform using genetic optimization for smart cities,” 5th
International Istanbul Smart Grid and Cities Congress and Fair, Istanbul,
Turkey, April 2017.
[8] A. Araujo et al., “IoT-Based Smart Parking for Smart Cities,” IEEE First
Summer School on Smart Cities, Natal, Brazil, Aug. 2017.
[9] P. Zhou, Y. Zheng, M. Li, “How long to wait: predicting bus arrival time
with mobile phone based participatory sensing,” Proceedings of the 10th
international conference on Mobile systems, applications, and services, pp.
379-392, June 2012.
[10] S. Ghosh, “Smart homes: Architectural and engineering design
imperatives for smart city building codes,” Technologies for Smart- City
Energy Security and Power, Bhubaneswar, India, March 2018.
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
[11] H. Sano, “Smart winds: Green energy and a window of opportunity for
Brazilian small cities,” IEEE First Summer School on Smart Cities, Natal,
Brazil, Aug. 2017.
[12] T. Atasoy, H. E. Akinc, O. Ercin, “An analysis on smart grid applications
and grid integration of renewable energy systems in smart cities,”
International Conference on Renewable Energy Research and Applications,
Palermo, Italy, Feb. 2016.
[13] A. Giyenko, Y. I. Cho, “Intelligent UAV in smart cities using IoT,” 16th
International Conference on Control, Automation and Systems, Gyeongju,
South Korea, Jan. 2017.
[14] P. M. Kornatowski et al., “Last-Centimeter Personal Drone Delivery:
Field Deployment and User Interaction,” IEEE Robotics and Automation
Letters, vol. 3, no. 4, Oct. 2018.
[15] P. M. Kornatowski, S. Mintchev, D. Floreano, “An origami-inspired cargo
drone,” IEEE/RSJ International Conference on Intelligent Robots and Systems,
Vancouver, BC, Canada, Sept. 2017.
[16] H. Yetis, M. Karakose, “A New Smart Cargo Cabinet Application for
Unmanned Delivery in Smart Cities,” International Artificial Intelligence and
Data Processing Symposium, Turkey, Sept. 2018.
[17] M. Karakose, H. Yetis, “A Cyberphysical System Based Mass-
Customization Approach with Integration of Industry 4.0 and Smart City,”
Wireless Communications and Mobile Computing, Aug. 2017.
[18] N. Shiva, “Testing cyber-physical systems via evolutionary algorithms
and machine learning,” Proceedings of the 12th International Workshop on
Search-Based Software Testing. IEEE Press, 2019.
[19] C. Emanuele, and A. Caddemi, “Feasibility study to preserve the health
of an Industry 4.0 worker: A Radar System for Monitoring the Sitting-Time”
Workshop on Metrology for Industry 4.0 and IoT, 2019.
[20] G. Xiong et al., “Cyber-physical-social system in intelligent
transportation,” IEEE/CAA Journal of Automatica Sinica, vol. 2, no. 3, pp.
320-333, July 2015.
[21] Zeng, J., Yang, L. T., Lin, M., Ning, H., Ma, J., A survey: Cyberphysical-
social systems and their system-level design methodology, Future
Generation Computer Systems, 2016.
Thanks…
Chang Gung University,
No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)

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A Cyber Physical Social System Based Method for Smart Citizen in Smart Cities

  • 1. A Cyber-Physical-Social System Based Method for Smart Citizen in Smart Cities Hasan Yetis and Mehmet Karakose ~24th International Conference on Information Technology (IT) — Feb 2020 Presented By: SHASHANK MISHRA D0829004 Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
  • 2. Layout •Introduction •Cyber-Physical Social System (CPSS) •Proposed System •Results •Conclusion Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
  • 3. Introduction The smart city concept integrates information and communication technology (ICT), and various physical devices connected to the IoT network to optimize the efficiency of city operations and services and connect to citizens. Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.) SMART CITY Smart Economy Smart Citizen Smart Governance Smart Transpor- tation Smart Envirom- ent Smart Living
  • 4. Introduction Smart economy aims to improve business life cycle, to make easier and faster to find & access business services, participate in city economic or urban initiatives, communicate with and receive information, contribute to urban development, while staying open to the global environment. KEY FACTORS:  Innovative ways of thinking and acting,  Comprehensive views at mid and long term to create social, environmental and territorial value,  Associate all the economic stakeholders, connect them at local scale, considering local into an expanded spatial approach. Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)  SMART ECONOMY Finally, the main issue of smart economy is to find out the right solutions which balance the effects of globalization and urban revolution by a smartly using of technologies.
  • 5. Introduction SMART Governance is about using technology to facilitate and support better planning and decision making. It is about improving democratic processes and transforming the ways that public services are delivered. It includes e-government, the efficiency agenda and mobile working. KEY FACTORS:  Social: Smart government provides citizen friendly & personalized services and allows people & civil society for co-creation with the government.  Mobile: Uses mobile technologies like SMS, APPs, Social media, cloud computing and mobile network for public service delivery and daily affairs.  Analytics: It can early to make policy decision and action by using big data analytics.  Radical openness: Provides easy access to information and citizens participation for maintaining transparency, accountability, and citizen-friendly services.  Trust: Smart government is committed to providing effective cybersecurity for resilient, available and privacy-based services. Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)  SMART GOVERNANCE
  • 6. Introduction Smart Living is the idea to merge technology into daily life so as to create a safer, more comfortable, convenient and sustainable living environment. The technology in our daily life can be classified into six categories: food, medicine, housing, transportation, education and entertainment. Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)  SMART LIVING
  • 7. Introduction Improved quality of life: More accessible and efficient public transportation reduces expenses and improves the quality of life for city residents. Reduced pollution: Smart transport relies heavily on environmental policies, such as promoting the use of public transport. This reduces private car usage, reducing emissions. Improved public transport safety: Monitoring and tracking of the public transportation network can help respond quickly to incidents and emergencies. Mobility marketplace: The increase in passengers traffic creates a demand for mobile transportation apps, which help people consume transportation services across the city. Smart parking solutions: With the help of sensors, security cameras, and Internet connectivity, cities can reduce the problem of parking in congested urban areas by sharing data about available parking to consumers via mobile apps. Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)  SMART TRANSPORTATION
  • 8. Introduction Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)  SMART ENVIRONMENT
  • 9. Cyber Physical Social System (CPSS) Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.) Cyber-Physical-Social systems (CPSSs) are the extension of Cyber-Physical systems (CPS), which seamlessly integrate cyber space, physical space and social space. CPSSs promote the information resource from single space to tri-space, so as to lead a revolution in data science (DS). “A social space is physical or virtual space such as a social center, online social media, or other gathering place where people gather and interact. Some social spaces such as town squares or parks are public places; others such as pubs, websites, or shopping malls are privately owned and regulated.”
  • 10. PROPOSED SYSTEM Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.) PART - I Application used by 1) CITIZEN 2) FIELD TEAMS PART - II Algorithm which makes us able to make the task assignment dynamically and efficiently in cyber layer REPORTED PROBLEMS Problem Type First Report date & time How many times reported Location Living people around the address (Population) PROBLEM TYPE Faulty Street Light Illegal billboards Illegal waste dump Broken Street Others …. etcEXPERT Expertise Type Location Jobs done
  • 11. PROPOSED SYSTEM Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.) PART - I PART - II
  • 12. PROPOSED SYSTEM Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.) PART – II (ALGORITHM FACTORS) • Algorithm divides Map into matrix (for e.g. 1000X1000) • Traffic congestion between each points. • No of people living around these points (affected by problem). • Experts are randomly assigned in locations • Problem Assignment (factors): • Arrival Time • Average distance • Rate of traffic jam • Waiting time of Affected people
  • 13. RESULTS Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.) Total Distance (m) Total Time (min) Before After % Gain Before After % Gain Scenario 1 10.867 8.265 24 % 35 25 29 % Scenario 2 80.963 72.091 11 % 228 199 13 % Scenario 3 210.238 192.675 8 % 614 557 9 % • Sample problem were randomly generated by the computer to test the proposed method. • Assuming a 1000 points graphical map. • 10 teams are randomly assigned to map.
  • 14. Conclusion • It is noticed that CPSS has positive effect on the city. • It is necessary that smart citizens aiming for more conscious citizen should be used to develop the smart city community. • Social factors with collaboration with CPS can provide a better result in development of smart cities. Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
  • 15. References : [1] C. Manville et al., “Mapping Smart Cities in the EU, Directorate General for Internal Policies,” Policy Department A: Economic and Scientific Policy, Jan. 2014. [2] N. V. Lopes, “Smart governance: A key factor for smart cities implementation,” IEEE International Conference on Smart Grid and Smart Cities, Singapore, July 2017. [3] M. P. Castells, J. J. M. Dura, J. J. S. Zapater, R.V. C. Gimeno, “Use of ICT in Smart Cities. A practical case applied to traffic management in the city of Valencia,” Smart Cities Symposium Prague, Prague, Czech Republic, June 2015. [4] R. Abhishek, S. Zhao, D. Medhi, “SPArTaCuS: Service priority adaptiveness for emergency traffic in smart cities using softwaredefined networking,” IEEE International Smart Cities Conference, Trento, Italy, Sept. 2016. [5] A. Sharif et al., “Internet of things - smart traffic management system for smart cities using big data analytics,” 14th International Computer Conference on Wavelet Active Media Technology and Information Processing, Chengdu, China, Dec. 2017. [6] J. Yuan, Y. Zheng, X. Xie, G. Sun, “T-drive: Enhancing driving directions with taxi drivers' intelligence,” IEEE Transactions on Knowledge and Data Engineering, vol. 25, no. 1, pp. 220-232, 2013. [7] I. Aydin, M. Karakose, E. Karakose, “A navigation and reservation based smart parking platform using genetic optimization for smart cities,” 5th International Istanbul Smart Grid and Cities Congress and Fair, Istanbul, Turkey, April 2017. [8] A. Araujo et al., “IoT-Based Smart Parking for Smart Cities,” IEEE First Summer School on Smart Cities, Natal, Brazil, Aug. 2017. [9] P. Zhou, Y. Zheng, M. Li, “How long to wait: predicting bus arrival time with mobile phone based participatory sensing,” Proceedings of the 10th international conference on Mobile systems, applications, and services, pp. 379-392, June 2012. [10] S. Ghosh, “Smart homes: Architectural and engineering design imperatives for smart city building codes,” Technologies for Smart- City Energy Security and Power, Bhubaneswar, India, March 2018. Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.) [11] H. Sano, “Smart winds: Green energy and a window of opportunity for Brazilian small cities,” IEEE First Summer School on Smart Cities, Natal, Brazil, Aug. 2017. [12] T. Atasoy, H. E. Akinc, O. Ercin, “An analysis on smart grid applications and grid integration of renewable energy systems in smart cities,” International Conference on Renewable Energy Research and Applications, Palermo, Italy, Feb. 2016. [13] A. Giyenko, Y. I. Cho, “Intelligent UAV in smart cities using IoT,” 16th International Conference on Control, Automation and Systems, Gyeongju, South Korea, Jan. 2017. [14] P. M. Kornatowski et al., “Last-Centimeter Personal Drone Delivery: Field Deployment and User Interaction,” IEEE Robotics and Automation Letters, vol. 3, no. 4, Oct. 2018. [15] P. M. Kornatowski, S. Mintchev, D. Floreano, “An origami-inspired cargo drone,” IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, BC, Canada, Sept. 2017. [16] H. Yetis, M. Karakose, “A New Smart Cargo Cabinet Application for Unmanned Delivery in Smart Cities,” International Artificial Intelligence and Data Processing Symposium, Turkey, Sept. 2018. [17] M. Karakose, H. Yetis, “A Cyberphysical System Based Mass- Customization Approach with Integration of Industry 4.0 and Smart City,” Wireless Communications and Mobile Computing, Aug. 2017. [18] N. Shiva, “Testing cyber-physical systems via evolutionary algorithms and machine learning,” Proceedings of the 12th International Workshop on Search-Based Software Testing. IEEE Press, 2019. [19] C. Emanuele, and A. Caddemi, “Feasibility study to preserve the health of an Industry 4.0 worker: A Radar System for Monitoring the Sitting-Time” Workshop on Metrology for Industry 4.0 and IoT, 2019. [20] G. Xiong et al., “Cyber-physical-social system in intelligent transportation,” IEEE/CAA Journal of Automatica Sinica, vol. 2, no. 3, pp. 320-333, July 2015. [21] Zeng, J., Yang, L. T., Lin, M., Ning, H., Ma, J., A survey: Cyberphysical- social systems and their system-level design methodology, Future Generation Computer Systems, 2016.
  • 16. Thanks… Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)