Using Raspberry Pi to Create a Solution for Accessing Educative Questionnaires From Mobile Devices

Rodríguez, Rocío Andrea; Cammarano, Pablo; Vera, Pablo M.; Trigueros, Artemisa; Albornoz, Luciano J.

doi:10.1109/rita.2018.2879387

Cited by 9 publications

(2 citation statements)

References 11 publications

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“…The best applications where the raspberry pi can practice are server-based applications because of its underpin of various OSes [23]. Some of the server applications in which raspberry pi is utilizing are the online tests from mobile in a university without the internet [24], using as a server for an IoT application [25].…”

Section: Methodsmentioning

confidence: 99%

An Optimised Allotment and Tracking Using Django and Opencv

Kathi¹,

Shaik²

2021

ISI

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Developments in tracking of objects is one of the key breakthroughs in computer vision in recent years. A video is a continuous flow of frames. By analysing the difference between a frame to its successive, one can estimate the movement of object. In this paper, the movement of person is detected with the help of two cameras facing opposite to each other. The detected persons face is recognized with the faces in the database, his data about the movement is updated in the excel sheet from time to time and the same is applied in the real-world problem of vigilance on invigilators in the examination hall. Examinations are inescapable to conclude a course. Devising the students and watchdogs into the examination halls are the part of proper conduction of Examinations. One of the key things in the administration of examinations is the issuance of invigilations. The faculty act as invigilators. It is arduous to mull over his/her designation and experience while earmarking the invigilations manually. This paper presents a cybernetic and contemplative method of dole out using Django and tracking the movements of each invigilator using Opencv.

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Section: Methodsmentioning

confidence: 99%

An Optimised Allotment and Tracking Using Django and Opencv

Kathi¹,

Shaik²

2021

ISI

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“…For example, Asín and Pastor [10], from the Department of Electronics of the University of Alcalá, developed a robotic platform that facilitates learning without the need for face-to-face laboratories, by using low-cost devices and boards developed in the actual department. Rodríguez et al [11] use Raspberry Pi boards in the teaching classrooms of the National University of La Matanza (Buenos Aires) to implement a system of network access points. Students can answer questionnaires about the subject from their mobile devices without the need for Internet access.…”

Section: Related Workmentioning

confidence: 99%

A Low-Cost Multicomputer for Teaching Environments

Aliagas

Garcia-Famoso

Meseguer

et al. 2020

IEEE R. Iberoamericana Tecnologias Aprendizaje

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We propose a teaching resource that uses HardKernel boards to build an MPI server with 256 cores. Although this system has a relatively low performance, the aim is to provide access to hundreds of cores for carrying out scalability analyses, while obtaining a good trade-off between performance, price, and energy consumption. Here, we give details about the implementation of this system at both the hardware and software levels. We also explain how it was used to teach parallel programming in a university degree course, and discuss the teachers' and students' comments about using this new system.

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Towards the Green Analytics: Design and Development of Sustainable Drinking Water Quality Monitoring System for Shekhawati Region in Rajasthan

Khatri

Gupta

et al. 2021

MAPAN

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Using Raspberry Pi to Create a Solution for Accessing Educative Questionnaires From Mobile Devices

Cited by 9 publications

References 11 publications

An Optimised Allotment and Tracking Using Django and Opencv

An Optimised Allotment and Tracking Using Django and Opencv

A Low-Cost Multicomputer for Teaching Environments

Towards the Green Analytics: Design and Development of Sustainable Drinking Water Quality Monitoring System for Shekhawati Region in Rajasthan

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