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Multiple Architectural Approach for Urban Development Using Wearable IoT Devices: A Combined Machine Learning Approach

机译:使用可穿戴式物联网设备的城市发展的多种架构方法:组合机器学习方法

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Machine Learning becomes a part of our life in recent days and everything we do in interlinked with machine learning. As a technocrat, we tried to implement machine learning with Internet of Things (IoT) for better implementation of technology in organizations for security. We designed an sample architecture which will carry the burden of safeguarding the organizational data with IoT using machine learning with an effective manner and in this case we were proposing utilization of cloud computing for better understanding of data storage and retrieval process. Machine learning is used for the prediction models based on which we need to perform high level analysis of data and using IoT we promote authorization mechanism based on which we recognize the appropriate recipient of data and cloud for managing the data services with the three-tier architecture. We present the architecture we are proposing for better utilization of machine learning and IoT with cloud architecture.
机译:机器学习已成为最近几天我们生活的一部分,而我们所做的每一件事都与机器学习息息相关。作为技术专家,我们尝试通过物联网(IoT)实施机器学习,以更好地在组织中实施技术以实现安全性。我们设计了一个示例架构,该架构将以有效的方式承担使用机器学习通过IoT保护组织数据的负担,在这种情况下,我们提出利用云计算来更好地理解数据存储和检索过程。机器学习用于预测模型,基于该模型我们需要执行数据的高级分析,并使用物联网,我们促进授权机制,以此为基础,我们识别适当的数据接收者和云,以利用三层架构管理数据服务。我们介绍了我们提出的架构,旨在通过云架构更好地利用机器学习和物联网。

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