Energy and Performance Analysis of Raspberry Pi with Modern Computing Devices

Author:

Akshay S.,Vishnukumar B.,Mohan Vimal,S. Anand M.

Abstract

In today's accessible world, web has turned into a fundamental requirement of everybody. Barring the principal choices of the web, i.e., aquatics and net perusing, we'd like further choices like diversion, on-line video spilling and meeting up and so on. To use entirely unexpected alternatives of the web, very surprising gadgets are offered that changes as far as esteem, figuring force, and show and vitality consumption. Amid this paper, we tend to blessing however entirely unexpected alternatives of the web might be surfed by having one gadget Raspberry Pi. We tend to think about very surprising attributes of Raspberry Pi with in vogue processing gadgets like tablet PC, Smartphones convenient PC and TV. Our outcomes demonstrate that basic registering assignments might be expert in extra vitality practical means. We have a tendency to demonstrate that Raspberry Pi expends less power and may save eminent amount of vitality in routine processing undertakings.  

Publisher

Science Publishing Corporation

Subject

Hardware and Architecture,General Engineering,General Chemical Engineering,Environmental Engineering,Computer Science (miscellaneous),Biotechnology

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A self-sustainable opportunistic solution for emergency detection in ageing people living in rural areas;Wireless Networks;2023-03-22

2. An Improvised Algorithm for a Dynamic Key Generation Model;Inventive Computation and Information Technologies;2023

3. Comparison of tensorflow and tensorflow lite for object detection on Raspberry Pi 4;3RD INTERNATIONAL CONFERENCE OF BIO-BASED ECONOMY FOR APPLICATION AND UTILITY;2023

4. Lowering the Power Consumption of Healthcare Centers in Bangladesh using Low-Power Consuming Computing Devices;2022 25th International Conference on Computer and Information Technology (ICCIT);2022-12-17

5. Cloud in the Wallet;Studies in Systems, Decision and Control;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3