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In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
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ScaleUp: middleware for intelligent environments.

Daniyal Alghazzawi1, Ghadah Aldabbagh1, Abdullah Saad Al-Malaise Al-Ghamdi1

  • 1Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.

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Summary
This summary is machine-generated.

This study introduces new middleware for controlling smart devices in intelligent environments. The middleware ensures seamless integration and synchronizes data across devices, enhancing Internet of Things (IoT) system reliability.

Keywords:
Intelligent environment control systemsMiddlewarePervasive computingSmart devices

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Smart Environments

Background:

  • The Internet of Things (IoT) is rapidly expanding, necessitating robust middleware solutions for managing diverse smart devices.
  • Existing middleware often struggles with interoperability across different manufacturers and custom controllers.

Purpose of the Study:

  • To present a novel middleware solution for controlling smart devices within intelligent environments.
  • To demonstrate seamless integration with diverse manufacturer APIs and bespoke controller programs.
  • To ensure reliable data synchronization between master and clone devices.

Main Methods:

  • Developed a new, top-layer middleware architecture for intelligent environment control systems.
  • Designed the middleware to handle numerous device types simultaneously.
  • Implemented a data synchronization mechanism to prevent de-synchronization between clone and master devices.

Main Results:

  • The middleware functioned seamlessly with various manufacturer APIs and bespoke controller programs.
  • The system successfully managed numerous different types of devices concurrently.
  • Data de-synchronization was prevented, with clone devices regularly synchronized to their master's true state values.

Conclusions:

  • The proposed middleware offers a unified and reliable solution for managing heterogeneous smart devices in IoT environments.
  • This approach enhances the stability and trustworthiness of intelligent environment control systems.
  • The middleware's ability to handle diverse devices and ensure data integrity represents a significant advancement.