{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# E-Health applications\n", "\n", "This section covers the identified e-Health applications. " ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
run previous cell, wait for 2 seconds
\n", "" ], "text/plain": [ "" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from jyquickhelper import add_notebook_menu\n", "add_notebook_menu()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Interesting links:**\n", "\n", "* https://github.com/tpthanhan/ResourceProvisionFogComputing/tree/master/iFogSim-master/topologies" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## HealtCam Application Flowchart \n", "\n", "`Ref:` [D. Cantillo, B. Cervantes and J. Cardona (2021). **\"HealthCam: Machine Learning Models on Mobile Devices for Unhealthy Packaged Food Detection and Classification**.\" IEEE HEALTHCOM, pp. 1-6.](https://ieeexplore.ieee.org/abstract/document/9399010)\n", "\n", "
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" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## EGC application\n", "\n", "`Ref:` [Dadashi Gavaber, M., & Rajabzadeh, A. (2021). **BADEP: Bandwidth and delay efficient application placement in fog‐based IoT systems**. Transactions on Emerging Telecommunications Technologies, 32(8), e4136.](https://onlinelibrary.wiley.com/doi/abs/10.1002/ett.4136)\n", "\n", "\n", "\n", "
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" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## e-Health workflow application\n", "`Ref:` [Yang, R., Wen, Z., McKee, D., Lin, T., Xu, J., & Garraghan, P. (2020). Fog orchestration and simulation for iot services.](https://eprints.lancs.ac.uk/id/eprint/128717/1/Fog_BookChapter_final_v1.0_20181028.pdf)\n", "\n", "\n", "
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" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Insulin pump application\n", "\n", "`Ref:` [Mehran, N., Kimovski, D., & Prodan, R. (2019). **MAPO: a multi-objective model for IoT application placement in a fog environment**. In Proceedings of the 9th International Conference on the Internet of Things (pp. 1-8).](https://dl.acm.org/doi/pdf/10.1145/3365871.3365892?casa_token=rcRJaze6g9QAAAAA:twxJXa7eGMf9846UZAvbtYAhR5odVUzGFv4QCTv5k1zOXGBrQQlR0L0BR3wSK4WZjc2N7DpsEWIo8g)\n", "\n", "
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" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Mental health care application\n", "\n", "`Ref:` [Mehran, N., Kimovski, D., & Prodan, R. (2019). **MAPO: a multi-objective model for IoT application placement in a fog environment**. In Proceedings of the 9th International Conference on the Internet of Things (pp. 1-8).](https://dl.acm.org/doi/pdf/10.1145/3365871.3365892?casa_token=rcRJaze6g9QAAAAA:twxJXa7eGMf9846UZAvbtYAhR5odVUzGFv4QCTv5k1zOXGBrQQlR0L0BR3wSK4WZjc2N7DpsEWIo8g)\n", "\n", "
\"Markdown
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Patient-Medicine Administration application\n", "\n", "`Ref:` [Khalid, A., ul Ain, Q., Qasim, A., & Aziz, Z. (2021). **QoS based optimal resource allocation and workload balancing for fog enabled IoT**. Open Computer Science, 11(1), 262-274.](https://www.degruyter.com/document/doi/10.1515/comp-2020-0162/pdf)\n", "\n", "
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" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.8" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 4 }