<span>The subject of fatigue monitoring is becoming more important in transportation and traffic management (including, for instance, the development systems to detect prevent driver drowsiness). People who work offices are also susceptible exhaustion, but there currently no widely deployed system that able monitor this condition. In most cases, driver’s eyelids will become heavy due exha...

Digital signal processing is used in many fields such as space exploration, medicine, geology etc. The main objective of this paper is to demonstrate the ability of image processing algorithms on embedded computing platforms .It describes a road sign recognition system based on an embedded system that reads and recognizes speed signs and also controls the speed of the moving vehicle. The paper ...

Playbacks of visual or audio stimuli to wild animals is a widely used experimental tool in behavioral ecology. In many cases, however, playback experiments are constrained by observer limitations such as the time observers can be present, or the accuracy of observation. These problems are particularly apparent when playbacks are triggered by specific events, such as performing a specific behavi...

The Smart Grid is an evolution of the existing electricity grid. It comprises of a two-way communication where electricity and information is exchanged by the consumer and utility to maximize efficiency. Home automation is an important milestone in achieving smart grid and is ever exciting field that has exploded over the past few years. Advancement in technologies have made homes more convenie...

Ulceration of the diabetic foot is currently difficult to detect reliably in a timely manner causing undue suffering and cost. Current best practice is for daily monitoring by those living with diabetes coupled to scheduled monitoring by the incumbent care provider. Although some metrics have proven useful in the detection or prediction of ulceration, no single metric can currently be relied up...

The concept of Smart Cities and the monitoring of environmental parameters is an area of research that has attracted scientific attention during the last decade. These environmental parameters are well-known as important factors in their affection towards people. Massive monitoring of this kind of parameters in cities is an expensive and complex task. Recent technologies of low-cost computing a...

In this report, I describe the design and implementation of an inexpensive, eight node, 32 core, cluster of raspberry pi single board computers, as well as the performance of this cluster on two computational tasks, one that requires significant data transfer relative to computational time requirements, and one that does not. We have two use-cases for the cluster: (a) as an educational tool for...

This educational project uses a second generation Raspberry Pi that runs multiple Open Source software packages, to perform network penetration testing and to analyze the results. Implementing this project provides undergraduate students with practical hands-on experience and explains advanced concepts in computer hardware, operating systems, and network security. This project is fairly afforda...

A comprehensive radiometric characterization of raw-data format imagery acquired with the Raspberry Pi 3 and V2.1 camera module is presented. The Raspberry Pi is a high-performance single-board computer designed to educate and solve real-world problems. This small computer supports a camera module that uses a Sony IMX219 8 megapixel CMOS sensor. This paper shows that scientific and engineering-...