图书馆订阅: Guest
国际多尺度计算工程期刊

每年出版 6 

ISSN 打印: 1543-1649

ISSN 在线: 1940-4352

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 2.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00034 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

Indexed in

FRAMEWORK FOR HEALTH MANAGEMENT AND RECORDING FOR SAILORS USING THE INTERNET OF THINGS (IOT) IN UNDERWATER COMMUNICATION

卷 19, 册 1, 2021, pp. 17-24
DOI: 10.1615/IntJMultCompEng.2021037543
Get accessGet access

摘要

Internet of things (IoT) health-based surveillance and tracking devices can be installed on soldiers to monitor their health status, current position, and body global positioning system usage. These data will be sent to the control space, via the IoT. The device suggested is composed of small, wearable physiological instruments, sensors, and modes for transmission. Therefore, the application of the proposed facilities can be introduced at low cost as a mechanism for the safety of precious human life in the event of a war. Based on this, doctors can also save many lives by providing simple and precious treatments using these devices. For several utilities and apps, IoT is becoming a major hub in this area, utilizing Raspberry Pi computers not only as a sensor node but also as a controller. As a step forward in the gains achieved in this department thus far, this paper suggests a generic health-monitoring framework.

参考文献
  1. Akyildiz, I.F., Lo, B.F., and Balakrishnan, R., Cooperative Spectrum Sensing in Cognitive Radio Networks: A Survey, Phys. Commun., vol. 4, no. 1, pp. 40-62,2011.

  2. Butt, A., Ahmad, S.S., Shabbir, R., and Erum, S., GIS Based Surveillance of Road Traffic Accidents (RTA) Risk for Rawalpindi City: A Geo-Statistical Approach, Kuwait J. Sci., vol. 44, no. 4, pp. 129-134,2017.

  3. Casari, P. and Zorzi,M., Protocol Design Issues in Underwater Acoustic Networks, Comput. Commun., vol. 34,no. 17,pp. 2013-2025,2011.

  4. Kwong, J. andChandrakasan, A.P., An Energy-Efficient Biomedical Signal Processing Platform, IEEE J. Solid-State Circuits, vol. 46, no. 7, pp. 1742-1753,2011.

  5. Murugan, S.S., Natarajan, V., and Rajesh Kumar, R., Noise Model Analysis and Estimation of Effect due to Wind Driven Ambient Noise in Shallow Water, Int. J. Oceanogr., vol. 2011, pp. 950838-1-950838-4,2011. DOI: 10.1155/2011/950838.

  6. Perera, C., Zaslavsky, A., Christen, P., and Georgakopoulos, D., Context Aware Computing for the Internet of Things: A Survey, IEEE Commun. Surv. Tutorials, vol. 16, no. 1, pp. 414-454,2013. DOI: 10.1109/SURV.2013.042313.00197.

  7. Shnayder, V., Chen, B.-R., Lorincz, K., Fulford-Jones, T.R.F., and Welsh, M., Sensor Networks for Medical Care, Tech. Rep. TR-08-05, Computer Science Group, Harvard University, Cambridge, MA, 2005.

  8. Stojanovic, C., Bogdanovic, D., and Urosevic, S., Selection of the Optimal Technology for Surface Mining by Multi-Criteria Analysis, Kuwait J. Sci., vol. 42, no. 3, pp. 170-190,2015.

  9. Subudhi, Ch. and Sivanandam, S., Intelligent Wireless Patient Monitoring and Tracking System (Using Sensor Network and Wireless Communication), Int. J. Interdiscip. Multidiscip. Stud., vol. 1, no. 3, pp. 97-104,2014.

  10. Syed, A.A., Ye, W., and Heidemann, J., T-Lohi: A New Class of MAC Protocols for Underwater Acoustic Sensor Networks, in Proc. of IEEE 27th Conference on Computer Communications (INFOCOM), pp. 231-235,2008.

  11. Wang, B. and Liu, K.R., Advances in Cognitive Radio Networks: A Survey, IEEE J. Sel. Top. Signal Process., vol. 5, no. 1, pp. 5-23,2010.

  12. Zeng, Y., Liang, Y.C., Hoang, A.T., and Zhang, R., A Review on Spectrum Sensing for Cognitive Radio: Challenges and Solutions, EURASIP J. Adv. Signal Process, vol. 2010, pp. 381465-1-381465-15,2010.

  13. Zhao, Q., Tong, L., Swami, A., and Chen, Y., Decentralized Cognitive MAC for Opportunistic Spectrum Access in Ad Hoc Networks: A POMDP Framework, IEEE J. Sel. Areas Commun, vol. 25, no. 3, pp. 589-600, 2007. DOI: 10.1109/ JSAC.2007.070409.

对本文的引用
  1. Wang Jingjing, Yang Zaoli, Implementation of Intelligent Decision Model of Traditional Hanfu 3D Design Based on Internet of Things, Mathematical Problems in Engineering, 2022, 2022. Crossref

Begell Digital Portal Begell 数字图书馆 电子图书 期刊 参考文献及会议录 研究收集 订购及政策 Begell House 联系我们 Language English 中文 Русский Português German French Spain