close
This essay has been submitted by a student. This is not an example of the work written by professional essay writers.

Energy Conservation on Realtime Embedded System Using Machine Learning

downloadDownload printPrint

Pssst… we can write an original essay just for you.

Any subject. Any type of essay. We’ll even meet a 3-hour deadline.

Get your price

121 writers online

blank-ico
Download PDF

A unit of energy saved is equivalent to a unit of energy generated. Energy Conservation is one among top global issues that needs to addressed on priority. Embedded system with intelligent computing driven by recent advances in machine learning and cognitive algorithms coupled with process technology and new design methodologies, has the potential to usher unprecedented disruption in the way conventional real time system solutions are designed and deployed. These innovative approaches often provide an attractive and efficient alternative not only in terms of performance but also power, energy, and cost.

National resource Canada has introduced programs supporting to increase energy efficiency in home, transportation, alternative fuels and buildings. One way to accomplish energy conservation is by using real time operating systems (RTOS), thereby efficiently managing the energy consumption, Artificial intelligence and Machine Learning techniques can help embedded systems perform smarter, Machine learning methodologies improvise from their experience by analyzing their observations, updating models based on previous action and using those insights to make better decisions.

As per the research carried out earlier, we find that energy conservation strategies are focused in areas like automatic process control of lighting in production area, energy saving in data centers and EV’s in automobile industries plays a crucial role. Additionally, Machine learning and embedded AI is being implemented at the architectural level. AI based ASIC’s & SoC’s designed to reduce the energy consumption and enhance the performance are already in production. Energy efficiency and high performance continue to be prime research objectives for processor designers. Additionally, energy can be minimized through Dynamic Voltage Frequency Scaling (DVFS), enabling on-the-fly optimization of frequency and voltage.

From my previous industry experience, I have observed products like Relays do not support installation of software remotely. Configuring and managing relays is tedious as the engineer must be physically present in field. We came up with a cloud-based solution (FOTA) for managing firmware binary updation for relays in customer base. This involves Linux and RTOS firmware binaries to be updated to the board based on the new release of firmware versions remotely. This system currently lacks intelligence of making observations and adjusting the models.

Control systems such as relays as a use case can be improvised by adding features of collecting the environment response and apply predictive analysis and optimize the power requirements and features of Dynamic Voltage Frequency Scaling (DVFS), enabling on-the-fly. Remotely monitoring of energy meters and control systems can be improved that can results in energy conservation and enhanced performance in RTOS based environment.

Remember: This is just a sample from a fellow student.

Your time is important. Let us write you an essay from scratch

experts 450+ experts on 30 subjects ready to help you just now

delivery Starting from 3 hours delivery

Find Free Essays

We provide you with original essay samples, perfect formatting and styling

Cite this Essay

To export a reference to this article please select a referencing style below:

Energy Conservation On Realtime Embedded System Using Machine Learning. (2021, December 16). GradesFixer. Retrieved January 29, 2022, from https://gradesfixer.com/free-essay-examples/energy-conservation-on-realtime-embedded-system-using-machine-learning/
“Energy Conservation On Realtime Embedded System Using Machine Learning.” GradesFixer, 16 Dec. 2021, gradesfixer.com/free-essay-examples/energy-conservation-on-realtime-embedded-system-using-machine-learning/
Energy Conservation On Realtime Embedded System Using Machine Learning. [online]. Available at: <https://gradesfixer.com/free-essay-examples/energy-conservation-on-realtime-embedded-system-using-machine-learning/> [Accessed 29 Jan. 2022].
Energy Conservation On Realtime Embedded System Using Machine Learning [Internet]. GradesFixer. 2021 Dec 16 [cited 2022 Jan 29]. Available from: https://gradesfixer.com/free-essay-examples/energy-conservation-on-realtime-embedded-system-using-machine-learning/
copy to clipboard
close

Sorry, copying is not allowed on our website. If you’d like this or any other sample, we’ll happily email it to you.

    By clicking “Send”, you agree to our Terms of service and Privacy statement. We will occasionally send you account related emails.

    close

    Attention! This essay is not unique. You can get a 100% Plagiarism-FREE one in 30 sec

    Receive a 100% plagiarism-free essay on your email just for $4.99
    get unique paper
    *Public papers are open and may contain not unique content
    download public sample
    close

    Sorry, we could not paraphrase this essay. Our professional writers can rewrite it and get you a unique paper.

    close

    Thanks!

    Please check your inbox.

    Want us to write one just for you? We can custom edit this essay into an original, 100% plagiarism free essay.

    thanks-icon Order now
    boy

    Hi there!

    Are you interested in getting a customized paper?

    Check it out!
    Having trouble finding the perfect essay? We’ve got you covered. Hire a writer
    exit-popup-close

    Haven't found the right essay?

    Get an expert to write you the one you need!

    exit-popup-print

    Professional writers and researchers

    exit-popup-quotes

    Sources and citation are provided

    exit-popup-clock

    3 hour delivery

    exit-popup-persone