Open Access
Issue |
ITM Web Conf.
Volume 37, 2021
International Conference on Innovative Technology for Sustainable Development (ICITSD-2021)
|
|
---|---|---|
Article Number | 01015 | |
Number of page(s) | 8 | |
Section | Innovative Technology for Sustainable Development | |
DOI | https://doi.org/10.1051/itmconf/20213701015 | |
Published online | 17 March 2021 |
- Xu, Q., Ren, P., Song, H. & Du, Q. Security enhancement for IoT communications exposed to eavesdroppers with uncertain locations. IEEE Access 4, 2840–2853 (2016). [Google Scholar]
- Scuotto, V., Ferraris, A. & Bresciani, S. Internet of Things: Applications and challenges in smart cities: a case study of IBM smart city projects. Bus. Process Manag. J. 22, 357–367 (2016). [Google Scholar]
- Khan, M., Han, K. & Karthik, S. Designing Smart Control Systems Based on Internet of Things and Big Data Analytics. Wirel. Pers. Commun. 99, 1683–1697 (2018). [Google Scholar]
- Parvez, B., Haidri, R. A. & Verma, J. K. IoT in Agriculture. 2020 Int. Conf. Comput. Perform. Eval. ComPE 2020 844–847 (2020) doi:10.1109/ComPE49325.2020.9200035. [Google Scholar]
- Paulraj, G. J. L., Francis, S. A. J., Peter, J. D. & Jebadurai, I. J. Resource-aware virtual machine migration in IoT cloud. Futur. Gener. Comput. Syst. 85, 173–183 (2018). [Google Scholar]
- Wu, T., Wu, F., Redoute, J. M. & Yuce, M. R. An Autonomous Wireless Body Area Network Implementation Towards IoT Connected Healthcare Applications. IEEE Access 5, 11413–11422 (2017). [Google Scholar]
- Jalal, L., Popescu, V. & Murroni, M. IoT architecture for multisensorial media. 2017 Ieee Urucon, Urucon 2017 2017 -Decem, 1–4 (2017). [Google Scholar]
- Gowda, M. et al. Bringing IoT to sports analytics. Proc. 14th USENIX Symp. Networked Syst. Des. Implementation, NSDI 2017 499–513 (2017). [Google Scholar]
- Kim, Y., Park, Y. & Choi, J. A study on the adoption of IoT smart home service: using Value-based Adoption Model. Total Qual. Manag. Bus. Excell. 28, 1149–1165 (2017). [Google Scholar]
- Jo, H. & Yoon, Y. I. Intelligent smart home energy efficiency model using artificial TensorFlow engine. Human-centric Comput. Inf. Sci. 8, 1–18 (2018). [Google Scholar]
- Jin, Y. & Ji, S. Mapping hotspots and emerging trends of business model innovation under networking in Internet of Things. Eurasip J. Wirel. Commun. Netw. 2018, (2018). [Google Scholar]
- Peng, H. et al. Secure and Energy-Efficient Data Transmission System Based on Chaotic Compressive Sensing in Body-To-Body Networks. IEEE Trans. Biomed. Circuits Syst. 11, 558–573 (2017). [Google Scholar]
- Wang, Y., Kung, L. A., Wang, W. Y. C. & Cegielski, C. G. An integrated big data analytics-enabled transformation model: Application to health care. Inf. Manag. 55, 64–79 (2018). [Google Scholar]
- Wang, Y., Kung, L. A. & Byrd, T. A. Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technol. Forecast. Soc. Change 126, 3–13 (2018). [Google Scholar]
- Yang, C., Yu, M., Hu, F., Jiang, Y. & Li, Y. Utilizing Cloud Computing to address big geospatial data challenges. Comput. Environ. Urban Syst. 61, 120–128 (2017). [Google Scholar]
- Yang, C., Huang, Q., Li, Z., Liu, K. & Hu, F. Big Data and cloud computing: innovation opportunities and challenges. Int. J. Digit. Earth 10, 13–53 (2017). [Google Scholar]
- Upadhyaya, J. & Ahuja, N. Higher Education: A Critical Survey and Innovative Model. Int. Conf. I-SMAC (IoT Soc. Mobile, Anal. Cloud) 137–140 (2017). [Google Scholar]
- Stergiou, C., Psannis, K. E., Kim, B. G. & Gupta, B. Secure integration of IoT and Cloud Computing. Futur. Gener. Comput. Syst. 78, 964–975 (2018). [Google Scholar]
- Kraemer, F. A., Braten, A. E., Tamkittikhun, N. & Palma, D. Fog Computing in Healthcare-A Review and Discussion. IEEE Access 5, 9206–9222 (2017). [CrossRef] [Google Scholar]
- Liu, X., Deng, R. H., Yang, Y., Tran, H. N. & Zhong, S. Hybrid privacy-preserving clinical decision support system in fog–cloud computing. Futur. Gener. Comput. Syst. 78, 825–837 (2018). [Google Scholar]
- Rahmani, A. M. et al. Smart e-Health Gateway: Bringing intelligence to Internetof-Things based ubiquitous healthcare systems. 2015 12th Annu. IEEE Consum. Commun. Netw. Conf. CCNC 2015 826–834 (2015) doi:10.1109/CCNC.2015.7158084. [Google Scholar]
- Naqishbandi, T., Sheriff, I. C. & Qazi, S. Big Data, CEP and IoT: Redefining Holistic Healthcare Information Systems and Analytics. 4, 613–618 (2015). [Google Scholar]
- Riggins, F. J. & Wamba, S. F. Research directions on the adoption, usage, and impact of the internet of things through the use of big data analytics. Proc. Annu. Hawaii Int. Conf. Syst. Sci. 2015 -March, 1531–1540 (2015). [Google Scholar]
- Tan, J. & Koo, S. G. M. A survey of technologies in internet of things. Proc. IEEE Int. Conf. Distrib. Comput. Sens. Syst. DCOSS 2014 269–274 (2014) doi:10.1109/DCOSS.2014.45. [Google Scholar]
- Madakam, S., Ramaswamy, R. & Tripathi, S. Internet of Things (IoT): A Literature Review. J. Comput. Commun. 03, 164–173 (2015). [Google Scholar]
- Zhang, G., Li, C., Zhang, Y., Xing, C. & Yang, J. SemanMedical: A kind of semantic medical monitoring system model based on the IoT sensors. 2012 IEEE 14th Int. Conf. eHealth Networking, Appl. Serv. Heal. 2012 238–243 (2012) doi:10.1109/HealthCom.2012.6379414. [Google Scholar]
- Yang, L., Ge, Y., Li, W., Rao, W. & Shen, W. A home mobile healthcare system for wheelchair users. Proc. 2014 IEEE 18th Int. Conf. Comput. Support. Coop. Work Des. CSCWD 2014 609–614 (2014) doi:10.1109/CSCWD.2014.6846914. [Google Scholar]
- Swan, M. Sensor mania! the internet of things, wearable computing, objective metrics, and the quantified self 2.0. J. Sens. Actuator Networks 1, 217–253 (2012). [Google Scholar]
- Chowdary, K. C., Lokesh Krishna, K., Prasad, K. L. & Thejesh, K. An efficient wireless health monitoring system. Proc. Int. Conf. I-SMAC (IoT Soc. Mobile, Anal. Cloud), I-SMAC 2018 373–377 (2019) doi:10.1109/I-SMAC.2018.8653716. [Google Scholar]
- Tan, E. T. & Halim, Z. A. Health care Monitoring System and Analytics Based on Internet of Things Framework. IETE J. Res. 65, 653–660 (2019). [Google Scholar]
- Bansal, P., Malik, M. & Kundu, R. Smart heart rate monitoring system. 2018 IEEMA Eng. Infin. Conf. eTechNxT 2018 1–4 (2018) doi:10.1109/ETECHNXT.2018.8385347. [Google Scholar]
- Majumder, A. J. A., Elsaadany, Y. A., Young, R. & Ucci, D. R. An Energy Efficient Wearable Smart IoT System to Predict Cardiac Arrest. Adv. Human-Computer Interact. 2019, (2019). [CrossRef] [Google Scholar]
- Vippalapalli, V. & Ananthula, S. Internet of things (IoT) based smart health care system. Int. Conf. Signal Process. Commun. Power Embed. Syst. SCOPES 2016 Proc. 1229–1233 (2017) doi:10.1109/SCOPES.2016.7955637. [Google Scholar]
- Yang, G. et al. IoT-Based Remote Pain Monitoring System: From Device to Cloud Platform. IEEE J. Biomed. Heal. Informatics 22, 1711–1719 (2018). [Google Scholar]
- Sood, S. K. & Mahajan, I. Wearable IoT sensor based healthcare system for identifying and controlling chikungunya virus. Comput. Ind. 91, 33–44 (2017). [Google Scholar]
- A. Alani, IoT Based Smart Healthcare System. Int. Journal of Engg Research and Development, Vol 14, Iss 1 (2018). [Google Scholar]
- Ashwini Gutte, Ramkrishna Vadali, IoT based Health Monitoring System using Raspberry Pi, IEEE Int. Conf on Computing Communication Control and Automation (ICCUBEA) (2018). [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.