A comparative analysis of coding approaches in machine learning among computer science students and non-computer science students

The increasing presence of Machine Learning in all fields of study requires an improvement in how it is taught. Previous research on this topic examined how to teach ML concepts and highlighted the importance of using technology and leveraging relevant pedagogical content knowledge. It did not compare the impact of previous programming knowledge...

Filtering Knowledge: A Comparative Analysis of Information-Theoretical-Based Feature Selection Methods

The data used in machine learning algorithms strongly influences the algorithms' capabilities. Feature selection techniques can choose a set of columns that meet a certain learning goal. There is a wide variety of feature selection methods, however, the ones we cover in this comparative analysis are part of the information-theoretical-based...

Comparative analysis of the Metropolis-Hastings algorithm as applied to the domain of program synthesis

In this research the Metropolis-Hastings algorithmis implemented for the problem of program synthesis and compared with Brute, a best-first search, together with multiple other different search algorithms. The implementation and choices of the Metrolpolis-Hastings algorithm are discussed in detail. The algorithms are tested for three different...

A Comparative Study on Pseudo Random Number Generators in IoT devices

Pseudo-random number generators are the essential part of many security protocols such as signature schemes, key-exchange protocols and encryption algorithms. The security of these protocols is usually dependent on the quality of the generators they use. The generation of unpredictable random numbers supplies refreshment to the protocols, which...

A Comparative Study on Signature Schemes for IoT Devices

The use of Internet of things (IoT) devices is on the rise and given their involvement with sensitive data the security for these devices is of greater importance. As these devices are connected with the internet being able to have secure communication is crucial. Some of the major aspects for secure communication are identification and message...

A Comparative Study of the TEA, XTEA, PRESENT and Simon lightweight cryptographic schemes

With the current fast paced growth in the number of devices connected to the internet, many of these having limited computational capability, security concerns are of increasing importance. To meet the necessity of providing secure encryption to constrained devices many lightweight cryptographic schemes have been developed. This paper provides a...

A Comparative Study on Lightweight Authentication Protocols for IoT

Wireless Sensor Networks(WSN's) are networks of sensor that wirelessly communicate to each other. The communication of these sensors needs to be secured to prevent leaking of potentially sensitive information of the data sent between the user, gateway and sensors. For WSN's lightweight authentication, protocols have been developed in order to...

MalPaCA: Malware behaviour analysis using unsupervised machine learning: Comparative analysis of various clustering algorithms on determining the best performance in terms of network behaviour discovery

MalPaCA makes use of unsupervised machine learning to provide malware capability assessment by clustering the temporal behaviour of malware network packet traces. A comparative analysis was performed on various clustering algorithms to determine the best clustering algorithm in terms of network behaviour discovery. The clustering algorithms...

Maximum power point tracking: Algorithm and software development

Currently, the Nuon Solar Team is building their new solar car, which makes use of solar panels. Solar panels have a Maximum Power Point (MPP), which, when operated at that point, ensures the maximum available power is obtained from them. In this thesis, different options were explored to solve the problem of tracking the MPP of a solar panel....