Machine Learning Techniques and Analytics for Cloud Security. Группа авторов

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Название Machine Learning Techniques and Analytics for Cloud Security
Автор произведения Группа авторов
Жанр Программы
Серия
Издательство Программы
Год выпуска 0
isbn 9781119764090



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Schematic illustration of the linkage between Uber server and IFTTT server. Schematic illustration of Spotify server connection. Schematic illustration of fitness tracking using Google Fit.

      News updates are fetched within the mirror directly from Times of India world news with 1 hour interval. The present proposal deals with one extremely essential feature which is given at free of cost; that is weather predictions with utmost accuracy. This is helpful for making daily routine for people with whatever professions. Phone notifications are fetched into the mirror and stayed tuned.

      4.9 Results

      The total result section in this manuscript is subdivided into three parts: circuit design, LDR data display, and API data from the informative interface. In the circuit design section, we have discussed about PIR sensor and its connections, LDR, control unit design, and Rasberry Pi configuration. In the display section, we have shown the variation of data in LDR, and API data using Google Cloud Console is exhibited in the last phase of this section.

      4.9.1 Circuit Design

      We have started with the setting up of Raspberry Pi 3 Model B+, which operates at 1.4GHz. This is supported by Bluetooth 4.2.1, along with wireless ac Wi-Fi. The process begins with connecting the microphone and speaker to the Raspberry Pi and then by inserting the SD card into it. Thereafter, USB keyboard, mouse, and HDMI monitor are added sequentially.

Schematic illustration of implementation of PIR sensor in our system. Schematic illustration of the control unit. Screenshots depicting live streaming results of the LDR sensor.

      4.9.2 LDR Data

      4.9.3 API Data

Screenshot shows API keys operational workbook. Screenshot shows API graphs from Google Cloud Console. Screenshot shows API data call counter log. Schematic illustration of API data push and pull traffic data graph.