Demonstration of programming in Python using a remote lab with Raspberry Pi

Guerra, Hélia; Cardoso, Alberto; Sousa, Vítor F. C.; Leitão, Jorge; Graveto, Vitor; Gomes, Luís Mendes

doi:10.1109/expat.2015.7463226

Cited by 10 publications

(3 citation statements)

References 3 publications

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“…This research is utilizes the Python in both learning and testing phase. The reason is a Raspberry Pi can use Python[16],[17] to implement and using Python results the same high accuracy as using Java, as found in experiment 3 and 4.…”

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confidence: 89%

Ensemble MLP Networks for Voices Command Classification to Control Model Car via Piface Interface of Raspberry Pi

Eiamkanitchat¹

2017

GEOMATE

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This research, exploration displays the aftereffects of utilizing the blend of the multi-layer perceptron network system to classify Thai speech. The parameters of the training process are used in the mobile application to using Thai voice commands to control the model car. The PiFace interface of the Raspberry Pi is attached to the model car for receiving the command from mobile and control the model car. The 1,000 Thai voice commands of both men and ladies are used as the training set in the experiment. The preliminary experiments have been done to find the best possible structure of the classification model, and the appropriate proportion of classes in the training set. From the experiment results using 1 network for one voice command, the average accuracy of the classification results in the environment without noise is higher than 80%, which considered favorable in the speech recognition field of study.

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confidence: 89%

Ensemble MLP Networks for Voices Command Classification to Control Model Car via Piface Interface of Raspberry Pi

Eiamkanitchat¹

2017

GEOMATE

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“…The main task for students was to develop a small Python application to display, for each location node and also for entire network, descriptive statistical information about the data collected by sensors. All data and results should be saved in CSV files for further use [13]. Students could run remotely their Python programmes on the RaspberryPi.…”

Section: B Projects Descriptionmentioning

confidence: 99%

“…The WSN has 3 sensor nodes distributed on different locations of LIIS that measure temperature, humidity and luminosity [13].…”

Section: The Remote Labmentioning

confidence: 99%

Remote Experiments as an Asset for Learning Programming in Python

et al. 2016

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Abstract-The online experimentation is in expansion inHigher Education Institutions, with a dynamic extension to all scientific areas. The integration of online labs in higher educational courses constitutes a significant financial saving way for the institutions with multiple benefits for student's learning. Without access and usage time restrictions, these labs provide a wide range of experiments, performed individually or in groups, repeated as often as needed, without any space or time restrictions, just imposing the Internet access is available and in good conditions. This paper describes a use case application of a web platform that integrates, monitors and controls different technologies, such as Wireless Sensor Networks, Virtual Sensor Networks and Data Acquisition Boards, through an Internet accessible RESTful API, using low-cost devices such as the Raspberry Pi. In this context, a remote laboratory is developed for students programming in Python, based on such platform to improve their programming skills, overcome their difficulties in CS1 and CS2 courses, and give the ability to interact to physical world through practical examples.

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