EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 335 (2021) MATEC Web Conf., 335 (2021) 04004 References
Open Access
Issue
MATEC Web Conf.
Volume 335, 2021
14th EURECA 2020 – International Engineering and Computing Research Conference “Shaping the Future through Multidisciplinary Research”
Article Number 04004
Number of page(s) 10
Section Computer Engineering
DOI https://doi.org/10.1051/matecconf/202133504004
Published online 25 January 2021
  1. Jing, W., Willis, R., Feng, Z. Factors influencing quality of life of elderly people with dementia and care implications: A systematic review. Archives of Gerontology and Geriatrics, 66(1), 23-41. (2016) [Google Scholar]
  2. Dogaru, L. The Main Goals of the Fourth Industrial Revolution. Renewable Energy Perspectives. 13th International Conference Interdisciplinarity in Engineering 2019. Procedia Manufacturing, Targu Mures, Romania, 46(2020), 397-401. (2020) [Google Scholar]
  3. Meo, S.A., Al-Khlaiwi, T., Usmani, A.M., Meo, A.S., Klonoff, D.C., Hoang, T.D. Biological and epidemiological trends in the prevalence and mortality due to outbreaks of novel coronavirus COVID-19. Journal of King Saud University - Science, 32(4), 2495-2499. (2020) [Google Scholar]
  4. Tsirmpas, C., Anastasiou, A., Bountris, P., Koutsouris, D. A New Method for Profile Generation in an Internet of Things Environment: An Application in Ambient-Assisted Living. IEEE Internet of Things Journal, 2(6), 471-478. (2015) [Google Scholar]
  5. Brunner, J., Chuang, E., Goldzweig, C., Cain, C.L., Sugar, C., Yano, E.M. User-centered design to improve clinical decision support in primary care. International Journal of Medical Informatics, 104(May), 56-64. (2017) [Google Scholar]
  6. Pal, D., Funilkul, S., Vanijja, V., Papasratorn, B. Analyzing the Elderly Users’ Adoption of Smart-Home Services. IEEE Access, 6, 51238-51252. (2018) [Google Scholar]
  7. Mitzner, T.L., Savla, J., Boot, W.R., Sharit, J., Charness, N., Czaja, S.J., Rogers, W.A. Technology Adoption by Older Adults: Findings from the PRISM Trial. Gerontologist, 59(1), 34-44. (2019) [Google Scholar]
  8. Hunsaker, A., Hargittai, E. A review of Internet use among older adults. New Media & Society, 20(10), 3937-3954. (2018) [Google Scholar]
  9. Clark, D.G., Ford, J.D., Tabish, T. What role can unmanned aerial vehicles play in emergency response in the Arctic: A case study from Canada. PLoS ONE, 13(12), 1-17. (2018) [Google Scholar]
  10. Whitworth, J. COVID-19: a fast evolving pandemic. Transactions of The Royal Society of Tropical Medicine and Hygiene, 114(4), 241. (2020) [Google Scholar]
  11. Nicola, M., Alsafi, Z., Sohrabi, C., Kerwan, A., Al-Jabir, A., Iosifidis, C., ... Agha, R. The socio-economic implications of the coronavirus pandemic (COVID-19): A review. International journal of surgery (London, England), 78, 185-193. (2020) [Google Scholar]
  12. Gharibi, M., Boutaba, R., Waslander, S.L. Internet of Drones. IEEE Access, 4, 1148-1162. (2016) [Google Scholar]
  13. Huang, S., Huang, J., Tang, D., Chen, F. Research on UAV flight performance test method based on dual antenna GPS/INS integrated system. 2018 IEEE 3rd International Conference on Communication and Information Systems, ICCIS, Singapore, 106-116. (2019) [Google Scholar]
  14. Maciel-Pearson, B.G., Akcay, S., Atapour-Abarghouei, A., Holder, C., Breckon, T.P. Multi-Task Regression-Based Learning for Autonomous Unmanned Aerial Vehicle Flight Control Within Unstructured Outdoor Environments. IEEE Robotics and Automation Letters, 4(4), 4116-4123. (2019) [CrossRef] [Google Scholar]
  15. Davis, O. Theorizing the advent of weaponized drones as techniques of domestic paramilitary policing. Security Dialogue, 50(4), 344-360. (2019) [CrossRef] [Google Scholar]
  16. Ejaz, W., Azam, M.A., Saadat, S., Iqbal, F., Hannan, A. Unmanned Aerial Vehicles enabled IoT Platform for Disaster Management. Energies, 12(14), 2706. (2019) [CrossRef] [Google Scholar]
  17. Pugliese, L.D.P., Guerriero, F., Natalizio, E., Zema, N.R. A biobjective formulation for filming sport events problem using drones. Proceedings of the 2017 IEEE 9th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2017, Bucharest, Romania, 2, 639-644. (2017) [Google Scholar]
  18. Khan, N.A., Jhanjhi, N.Z., Brohi, S.N., Usmani, R.S. A., Nayyar, A. Smart traffic monitoring system using Unmanned Aerial Vehicles (UAVs). Computer Communications. 157(1), 434-443. (2020) [CrossRef] [Google Scholar]
  19. Dayananda, K.R., Gomes, R., Straub, J. An interconnected architecture for an emergency medical response unmanned aerial system. The 36th AIAA/IEEE Digital Avionics Systems Conference, St. Petersburg, Florida, USA, 1-6. (2017) [Google Scholar]
  20. Kumar, G.D., Jeeva, B. Drone ambulance for outdoor sports. Asian Journal of Applied Science and Technology (AJAST), 1(5), 44-49. (2017) [Google Scholar]
  21. Clark, D.G., Ford, J.D., Tabish, T. What role can unmanned aerial vehicles play in emergency response in the Arctic: A case study from Canada. PLoS ONE, 13(12), 1-17. (2018) [Google Scholar]
  22. Scalea, J.R., Restaino, S., Scassero, M., Blankenship, G., Bartlett, S.T., Wereley, N. An initial investigation of unmanned aircraft systems (UAS) and real-time organ status measurement for transporting human organs. IEEE Journal of Translational Engineering in Health and Medicine, 6(August), 1-7. (2018) [CrossRef] [Google Scholar]
  23. Li, J., Goh, W.W., Jhanjhi, N.Z..A Design of IoT-Based Medicine Case For The Multi-User Medication Management Using Drone In Elderly Centre, in Journal of Engineering Science & Technology JESTEC. 16(2). (2021) [Google Scholar]
  24. Al Rasyid, M.U. H., Lee, B.H., Sudarsono, A. Wireless body area network for monitoring body temperature, heart beat and oxygen in blood. 2015 International Seminar on Intelligent Technology and Its Applications(ISITIA), Surabaya, Indonesia, 95-98. (2015) [CrossRef] [Google Scholar]
  25. Marcelino, I., Laza, R., Domingues, P., Gómez-Meire, S., Fdez-Riverola, F., Pereira, A. Active and assisted living ecosystem for the elderly. Sensors (Switzerland), 18(4), 1-18. (2018) [CrossRef] [Google Scholar]
  26. Alves, R.C. A., Gabriel, L.B., De Oliveira, B.T., Margi, C.B., Dos Santos, F.C. L. Assisting physical (Hydro) therapy with wireless sensors networks. IEEE Internet of Things Journal, 2(2), 113-120. (2015) [CrossRef] [Google Scholar]
  27. Hong, Y., Fang, J., Tao, Y. Ground control station development for autonomous UAV. In International Conference on Intelligent Robotics and Applications, Berlin, Hidelberg, German, 36-44. (2008) [Google Scholar]
  28. Khan, N.A., Brohi, S.N., Jhanjhi, N.Z. UAV’s Applications, Architecture, Security Issues and Attack Scenarios: A Survey. In Intelligent Computing and Innovation on Data Science (pp. 753-760). Springer, Singapore. (2020) [Google Scholar]
  29. Perez, D., Maza, I., Caballero, F., Scarlatti, D., Casado, E., Ollero, A. A ground control station for a multi-UAV surveillance system. Journal of Intelligent & Robotic Systems, 69(1-4), 119-130. (2013) [Google Scholar]
  30. Lee, W., Lee, J.Y., Lee, J., Kim, K., Yoo, S., Park, S., Kim, H. Ground control system based routing for reliable and efficient multi-drone control system. Applied Sciences, 8(11), 2027. (2018) [Google Scholar]
  31. Khan, N.A., Jhanjhi, N.Z., Brohi, S.N., Nayyar, A. Emerging use of UAV’s: secure communication protocol issues and challenges. In Drones in Smart-Cities (pp. 37-55). Elsevier. (2020) [CrossRef] [Google Scholar]
  32. Atoev, S., Kwon, K.R., Lee, S.H., Moon, K.S. Data analysis of the MAVLink communication protocol. In 2017 International Conference on Information Science and Communications Technologies (ICISCT), Tashkent, Uzbekistan, 1-3. (2017) [Google Scholar]
  33. Kwon, Y.M., Yu, J., Cho, B.M., Eun, Y., Park, K.J. Empirical analysis of mavlink protocol vulnerability for attacking unmanned aerial vehicles. IEEE Access, 6, 43203-43212. (2018) [CrossRef] [Google Scholar]
  34. Zouhri, O., Benhadou, S., Medromi, H. A new adaptive security protocol for uav network. International Symposium on Ubiquitous Networking. Morocco, 649-657,(2016) [Google Scholar]
  35. Alsamhi, S.H., Ma, O., Ansari, M.S., Almalki, F.A. Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities. IEEE Access, 7, 128125-128152. (2019) [CrossRef] [Google Scholar]
  36. Dorling, K., Heinrichs, J., Messier, G.G., Magierowski, S. Vehicle Routing Problems for Drone Delivery. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(1), 70-85. (2017) [CrossRef] [Google Scholar]
  37. Bender, D., Koch, W., Cremers, D. Map-based drone homing using shortcuts. IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (Mfi), Daegu, Korea, 505-511. (2017) [Google Scholar]
  38. Boychev, I.Z. Research algorithms to optimize the drone route used for security. 2018 IEEE 27th International Scientific Conference Electronics, Sozopol, Bulgaria, 1-4. (2018) [Google Scholar]
  39. Fakhrulddin, S.S., Gharghan, S.K., Al-Naji, A., Chahl, J. An advanced first aid system based on an unmanned aerial vehicles and a wireless body area sensor network for elderly persons in outdoor environments. Sensors (Switzerland), 19(13), 2955. (2019) [CrossRef] [Google Scholar]
  40. Zaman, N., Ahmad, M. Towards the Evaluation of Authentication Protocols for Mobile Command and Control Unit in Healthcare. Journal of Medical Imaging and Health Informatics, 7(3), 739-742. (2017) [CrossRef] [Google Scholar]
  41. Georgi, N., Le Bouquin Jeannes, R. Proposal of a remote monitoring system for elderly health prevention. 2017 International Conference on Smart, Monitored and Controlled Cities, SM2C 2017, Sfax, Tunisia, 69-74. (2017) [CrossRef] [Google Scholar]
  42. Pan, Y., Li, X., Yang, G., Fan, J., Tang, Y., Zhao, J., ... Hu, H. Serological immunochromatographic approach in diagnosis with SARS-CoV-2 infected COVID-19 patients. Journal of Infection, 81(1), 28-32,(2020) [Google Scholar]
  43. Peng, K., Du, J., Lu, F., Sun, Q., Dong, Y., Zhou, P., Hu, M. A Hybrid Genetic Algorithm on Routing and Scheduling for Vehicle-Assisted Multi-Drone Parcel Delivery. IEEE Access, 7(c), 49191-49200. (2019) [CrossRef] [Google Scholar]
  44. Ali, M.A., Alam, K., Taylor, B. Measuring the concentration of information and communication technology infrastructure in Australia: Do affordability and remoteness matter? Socio-Economic Planning Sciences, 70, 100737. (2020) [CrossRef] [Google Scholar]
  45. Lee, E. Who are those happy elderly people? Asia-Pacific Journal of Convergent Research Interchange, 4(2), 43-50. (2018) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.