IoT-Based Autonomous Energy-Efficient WSN Platform for Home/Office Automation Using Raspberry Pi

2021 ◽  
pp. 399-411
Author(s):  
M. Chandrakala ◽  
G. Dhanalakshmi ◽  
K. Rajesh
2019 ◽  
Vol 19 (9) ◽  
pp. 3501-3512 ◽  
Author(s):  
Crispino S. Abella ◽  
Salvo Bonina ◽  
Antonino Cucuccio ◽  
Salvatore D'Angelo ◽  
Gianluca Giustolisi ◽  
...  

Author(s):  
Hai

In this paper, a new Raspberry PI supercomputer cluster architecture is proposed. Generally, to gain speed at petaflops and exaflops, typical modern supercomputers based on 2009-2018 computing technologies must consume between 6 MW and 20 MW of electrical power, almost all of which is converted into heat, requiring high cost for cooling technology and Cooling Towers. The management of heat density has remained a key issue for most centralized supercomputers. In our proposed architecture, supercomputers with highly energy-efficient mobile ARM processors are a new choice as it enables them to address performance, power, and cost issues. With ARM’s recent introduction of its energy-efficient 64-bit CPUs targeting servers, Raspberry Pi cluster module-based supercomputing is now within reach. But how is the performance of supercomputers-based mobile multicore processors? Obtained experimental results reported on the proposed approach indicate the lower electrical power and higher performance in comparison with the previous approaches.


2018 ◽  
Vol 7 (2.24) ◽  
pp. 42
Author(s):  
Amber Goel ◽  
Apaar Khurana ◽  
Pranav Sehgal ◽  
K Suganthi

The paper focuses on two areas, automation and security. Raspberry Pi is the heart of the project and it is fuelled by Machine Learning Algorithms using Open CV and Internet of Things. Face recognition uses Linear Binary Pattern and if an unknown person uses their workstation, a message will be sent to the respective person with the photo of the person who uses the workstation. Face recognition is also being used for uploading attendance and switching ON and OFF appliances automatically. During un-official hours, A Human Detection algorithm is being used to detect the human presence. If an unknown person enters the office, a photo of the person will be taken and sent to the authorities. This technology is a combination of Computer Vision, Machine learning and Internet of things, that serves to be an efficient tool for both automation and security.  


Author(s):  
João Saffran ◽  
Gabriel Garcia ◽  
Matheus A. Souza ◽  
Pedro H. Penna ◽  
Márcio Castro ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document