- Home
- Archives
- 2024
- Vol. 1 Issue 1
- Article
Smart Vehicle Diagnostics1- Integrating OBD-II and Cloud Technology for Enhanced Health Monitoring
Authors
1 2 3 Department of Electronics and Communication Engineering, Easwari Engineering College, Chennai, Tamilnadu, India.
Article Information
- DOI
- No Doi
- Published In
- Year 2024 · Volume 1 · Issue 1
- Published Online
- January-April 2024
- Pages
- 18-25
- Article Type
- Research Article
- Check for updates
-
References
1. Uferah Shafi, Asad Safi, Ahmad Raza Shahid, Sheikh Ziauddin, Muhammad Qaiser Saleem, "Vehicle Remote Health Monitoring and
Prognostic Maintenance System", Journal of AdvancedTransportation, vol. 2018, Article ID8061514, 10pages,
2018.https://doi.org/10.1155/2018/8061514Bappaditya, M.; Chia, S.; Li, L.; Chandrasekhar, V.; Tan, C.;Lim, J. A wearable face
recognitionsystemongoogle glass for assisting social interactions. InAsian Conference on Computer Vision; Springer:Cham, Switzerland,
2014; pp. 419–433.
2. Andreas Theissler, Judith Pérez-Velázquez, Marcel Kettelgerdes, Gordon Elger,Predictive maintenance enabled by machine
learning:Reliability Engineerin & SystemSafety ,Volume 215,2021,107864,ISSN 0951- 8320,https://doi.org/10.1016/j.ress.2021.107864.(htt
ps://www.sciencedirect.com/science/article/pii/S095 1832021003835)
3. Author David Barton View in Scopus wbk Institute of Production Science, Karlsruhe Institute of Technology, Kaiserstraße 12, 76131
Karlsruhe, Germany
4. MDPI and ACS Style Arena, F.; Collotta, M.; Luca, L.; Ruggieri, M.; Termine, F.G. Predictive Maintenance in the Automotive Sector: A
Literature Review. Math. Comput. Appl. 2022, 27, 2. https://doi.org/10.3390/mca27010002
5. Ali, M.H., Jaber, M.M., Abd, S.K. et al. Big data analysis and cloud computing for smart transportation system integration. Multimed Tools
Appl (2022). https://doi.org/10.1007/s11042-022- 13700-7
6. T. Mirfakhraie, G. Vitor and K. Grogan, "Applicable Protocol for Updating Firmware of Automotive HVAC Electronic Control Units (ECUs)
Over the Air," 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications
(GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Halifax, NS, Canada, 2018,
pp. 21-26, doi: 10.1109/Cybermatics_2018.2018.00038.Chen, R.C.; Saravanarajan, V.S.; Hung, H.T. Monitoring the behaviours of pet cat
based on YOLO model and raspberry Pi. Int. J. Appl. Sci. Eng. 2021, 18, 1–12.
7. Ibrahim, Mahmoud, Viktor Rjabtšikov, and Rolando Gilbert. "Overview of digital twin platforms for EV applications." Sensors 23.3 (2023):
1414.Lin, Y.; Wang, K.; Yi, W.; Lian, S. Deep Learning Based Wearable Assistive System for Visually Impaired People. In Proceedings of
the International Conference on Computer Vision Workshop, Seoul, Korea, 27 October–2 November 2019.
8. Mahmud, K., Galway, K., Sykes, E. and Tizard, B., 2023, July. A Service Model of Predictive Maintenance for Autonomous and Connected
Vehicles Using 5G. In 2023 IEEE International Conference on Software Services Engineering (SSE) (pp. 125-127). IEEE.M Anandan, M
Manikandan, and T Karthick. 2020. Advanced Indoor and Outdoor Navigation System for Blind People Using Raspberry-Pi.
9. Goyal, N., Goel, V., Anand, M. and Garg, S., 2020. Smart vehicle: Online prognosis for vehicle health monitoring. Journal of Innovation in
Computer Science and Engineering, 9(2), pp.12-22. Pan, Jun. (2023). Recent Deep Neural Networks for Object Detection. Highlights in
Science, EngineeringandTechnology. 31. 268-273. 10.54097/hset. v31i.5153.
10. K. Mahmud, K. Galway, E. Sykes and B. Tizard, "AService Model of Predictive MaintenanceforAutonomous and Connected Vehicles
Using5G," 2023 IEEE International ConferenceonSoftware Services Engineering (SSE), Chicago, IL, USA, 2023, pp. 125-127,
doi:10.1109/SSE60056.2023.00026.
11. Turab, M. and Jamil, S., 2023. AComprehensiveSurvey of Digital Twins in Healthcare intheEraofMetaverse. BioMedInformatics, 3(3),
pp.563-584.
12. Rjabtšikov, Viktor, Anton Rassõlkin, KarolinaKudelina, Ants Kallaste, and Toomas Vaimann."Review of Electric Vehicle Testing
ProceduresforDigital Twin Development: AComprehensiveAnalysis." Energies 16, no. 19 (2023): 6952.
13. Kajba, M., Jereb, B. and Cvahte Ojsteršek, T., 2023.Exploring Digital Twins in the Transport andEnergyFields: A Bibliometrics and
LiteratureReviewApproach. Energies, 16(9), p.3922.
14. Khaleel, M., Ahmed, A.A. and Alsharif, A., 2023.Technology challenges and trends of electric motoranddrive in electric vehicle. International
Journal ofElectrical Engineering and Sustainability(IJEES), pp.41-48.
15. Sidorowicz, Maciej. "An example of adoptionofthemodel-based design (MBD) methodologyinthedevelopment process of an
LPGfuellingsystem." Combustion Engines (2023): 104.
16. Gomah M, Ahmed AA. Stochastic Methodfor ElectricVehicle Integration Considering RenewabilityMaximization and Reliability
Minimization. AfricanJournal of Advanced Pure and AppliedSciences(AJAPAS). 2022:225-32.
Prognostic Maintenance System", Journal of AdvancedTransportation, vol. 2018, Article ID8061514, 10pages,
2018.https://doi.org/10.1155/2018/8061514Bappaditya, M.; Chia, S.; Li, L.; Chandrasekhar, V.; Tan, C.;Lim, J. A wearable face
recognitionsystemongoogle glass for assisting social interactions. InAsian Conference on Computer Vision; Springer:Cham, Switzerland,
2014; pp. 419–433.
2. Andreas Theissler, Judith Pérez-Velázquez, Marcel Kettelgerdes, Gordon Elger,Predictive maintenance enabled by machine
learning:Reliability Engineerin & SystemSafety ,Volume 215,2021,107864,ISSN 0951- 8320,https://doi.org/10.1016/j.ress.2021.107864.(htt
ps://www.sciencedirect.com/science/article/pii/S095 1832021003835)
3. Author David Barton View in Scopus wbk Institute of Production Science, Karlsruhe Institute of Technology, Kaiserstraße 12, 76131
Karlsruhe, Germany
4. MDPI and ACS Style Arena, F.; Collotta, M.; Luca, L.; Ruggieri, M.; Termine, F.G. Predictive Maintenance in the Automotive Sector: A
Literature Review. Math. Comput. Appl. 2022, 27, 2. https://doi.org/10.3390/mca27010002
5. Ali, M.H., Jaber, M.M., Abd, S.K. et al. Big data analysis and cloud computing for smart transportation system integration. Multimed Tools
Appl (2022). https://doi.org/10.1007/s11042-022- 13700-7
6. T. Mirfakhraie, G. Vitor and K. Grogan, "Applicable Protocol for Updating Firmware of Automotive HVAC Electronic Control Units (ECUs)
Over the Air," 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications
(GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Halifax, NS, Canada, 2018,
pp. 21-26, doi: 10.1109/Cybermatics_2018.2018.00038.Chen, R.C.; Saravanarajan, V.S.; Hung, H.T. Monitoring the behaviours of pet cat
based on YOLO model and raspberry Pi. Int. J. Appl. Sci. Eng. 2021, 18, 1–12.
7. Ibrahim, Mahmoud, Viktor Rjabtšikov, and Rolando Gilbert. "Overview of digital twin platforms for EV applications." Sensors 23.3 (2023):
1414.Lin, Y.; Wang, K.; Yi, W.; Lian, S. Deep Learning Based Wearable Assistive System for Visually Impaired People. In Proceedings of
the International Conference on Computer Vision Workshop, Seoul, Korea, 27 October–2 November 2019.
8. Mahmud, K., Galway, K., Sykes, E. and Tizard, B., 2023, July. A Service Model of Predictive Maintenance for Autonomous and Connected
Vehicles Using 5G. In 2023 IEEE International Conference on Software Services Engineering (SSE) (pp. 125-127). IEEE.M Anandan, M
Manikandan, and T Karthick. 2020. Advanced Indoor and Outdoor Navigation System for Blind People Using Raspberry-Pi.
9. Goyal, N., Goel, V., Anand, M. and Garg, S., 2020. Smart vehicle: Online prognosis for vehicle health monitoring. Journal of Innovation in
Computer Science and Engineering, 9(2), pp.12-22. Pan, Jun. (2023). Recent Deep Neural Networks for Object Detection. Highlights in
Science, EngineeringandTechnology. 31. 268-273. 10.54097/hset. v31i.5153.
10. K. Mahmud, K. Galway, E. Sykes and B. Tizard, "AService Model of Predictive MaintenanceforAutonomous and Connected Vehicles
Using5G," 2023 IEEE International ConferenceonSoftware Services Engineering (SSE), Chicago, IL, USA, 2023, pp. 125-127,
doi:10.1109/SSE60056.2023.00026.
11. Turab, M. and Jamil, S., 2023. AComprehensiveSurvey of Digital Twins in Healthcare intheEraofMetaverse. BioMedInformatics, 3(3),
pp.563-584.
12. Rjabtšikov, Viktor, Anton Rassõlkin, KarolinaKudelina, Ants Kallaste, and Toomas Vaimann."Review of Electric Vehicle Testing
ProceduresforDigital Twin Development: AComprehensiveAnalysis." Energies 16, no. 19 (2023): 6952.
13. Kajba, M., Jereb, B. and Cvahte Ojsteršek, T., 2023.Exploring Digital Twins in the Transport andEnergyFields: A Bibliometrics and
LiteratureReviewApproach. Energies, 16(9), p.3922.
14. Khaleel, M., Ahmed, A.A. and Alsharif, A., 2023.Technology challenges and trends of electric motoranddrive in electric vehicle. International
Journal ofElectrical Engineering and Sustainability(IJEES), pp.41-48.
15. Sidorowicz, Maciej. "An example of adoptionofthemodel-based design (MBD) methodologyinthedevelopment process of an
LPGfuellingsystem." Combustion Engines (2023): 104.
16. Gomah M, Ahmed AA. Stochastic Methodfor ElectricVehicle Integration Considering RenewabilityMaximization and Reliability
Minimization. AfricanJournal of Advanced Pure and AppliedSciences(AJAPAS). 2022:225-32.
Related Articles in this Issue
Share Article
*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.