Computing and Mathematical Sciences Papers
This collection houses research from the Faculty of Computing and Mathematical Sciences at the University of Waikato.
All items in Research Commons are provided only to permit fair dealing for the purposes of research or private study. They are protected by copyright with all rights reserved unless otherwise indicated.
Recently Added
Subscribe (RSS 1.0)-
Identifying the interplay of design artifacts and decisions in practice: A Case Study
(Springer, 2017)Interaction design is a complex and challenging process. It encompasses skills and knowledge from design in general as well as from HCI and software design in particular. In order to find better ways to support interaction ... -
Investigating Wearable Technology for Fatigue Identification in the Workplace
(Springer, 2017)Fatigue has been identified as a significant contributor to workplace accident rates. However, risk minimisation is a process largely based on self-reporting methodologies, which are not suitable for fatigue identification ... -
Using abstraction with interaction sequences for interactive system modelling
(Springer, 2018)Interaction sequences can be used as an abstraction of an interactive system. We can use such models to consider or verify properties of a system for testing purposes. However, interaction sequences have the potential to ... -
Investigating real-time monitoring of fatigue indicators of New Zealand forestry workers
(Elsevier, 2019)The New Zealand forestry industry has one of the highest fatality and injury rates of any industrial sector in the country. Worker fatigue has been identified as one of the main contributing factors. Currently no independent ... -
Spiking Neural Networks and online learning: An overview and perspectives
(2020)Applications that generate huge amounts of data in the form of fast streams are becoming increasingly prevalent, being therefore necessary to learn in an online manner. These conditions usually impose memory and processing ... -
Comparing classical criteria for selecting intra-class correlated features in Multimix
(Elsevier, 2016)The mixture approach to clustering requires the user to specify both the number of components to be fitted to the model and the form of the component distributions. In the Multimix class of models, the user also has to ... -
The online performance estimation framework: heterogeneous ensemble learning for data streams
(Springer, 2018)Ensembles of classifiers are among the best performing classifiers available in many data mining applications, including the mining of data streams. Rather than training one classifier, multiple classifiers are trained, ... -
Proof-of-learning: A blockchain consensus mechanism based on machine learning competitions
(IEEE, 2019)This article presents WekaCoin, a peer-to-peer cryptocurrency based on a new distributed consensus protocol called Proof-of-Learning. Proof-of-learning achieves distributed consensus by ranking machine learning systems for ... -
On calibration of nested dichotomies
(Springer, 2019)Nested dichotomies (NDs) are used as a method of transforming a multiclass classification problem into a series of binary problems. A tree structure is induced that recursively splits the set of classes into subsets, and ... -
Maintaining SLOs of cloud-native applications via self-adaptive resource sharing
(IEEE, 2019)With changing workloads, cloud service providers can leverage vertical container scaling (adding/removing resources) so that Service Level Objective (SLO) violations are minimized and spare resources are maximized. In this ... -
Node.js scalability investigation in the cloud
(ACM, 2018)Node.js has gained popularity in cloud development due to its asynchronous, non-blocking and event-driven nature. However, scalability issues can limit the number of concurrent requests while achieving an acceptable level ... -
Collecting sensitive personal data in a multi-cultural environment
(2018)Traumatic Brain Injury (TBI) has long-term effects on memory and cognitive functions. This paper discusses the challenges encountered and lessons learned from developing augmented memory aids for people with TBI. In ... -
Using the HTRC Data Capsule Model to promote reuse and evolution of experimental analysis of digital library data: a case study of topic modeling
(IEEE, 2019)We report on a case-study to independently reproduce the work given in a publicly available blog on how to develop a topic model sourced from a collection of texts, where both the data set and source code used are readily ... -
Cross-helically forced and decaying hydromagnetic turbulence
(WILEY-V C H VERLAG GMBH, 2018)We study the evolution of kinetic and magnetic energy spectra in magnetohydrodynamic flows in the presence of strong cross helicity. For forced turbulence, we find a weak inverse transfer of kinetic energy toward the ... -
Research and development absorptive capacity: a Māori perspective
(The Royal Society of New Zealand, 2019)This paper presents a view of research and development absorptive capacity from a Māori perspective. The assessment is part of a case study of a longitudinal programme – Science for Technological Innovation: Kia kotahi mai ... -
Design and the fourth industrial revolution. Dangers and opportunities for a mutating discipline
(Taylor & Francis (Routledge), 2017)The nature of design has always been related to socio-technological forces. In the twentieth century, the first and second orders of design were central in the establishment of graphic and industrial design. In the early ... -
Maumahara Papahou: A mobile augmented reality memory treasure box based on Māori mnemonic aids
(2019)He aha te mea nui o te ao? He tangata, he tangata, he tangata. What is the most important thing in the world? It is people, it is people, it is people. Traumatic brain injury (TBI) is a worldwide “silent epidemic” causing ... -
Insider threat modeling: An adversarial risk analysis approach
(2019)Insider threats entail major security issues in geopolitics, cyber security and business organizations. Most earlier work in the field has focused on standard game theoretic approaches. We provide here two alternative, ... -
Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data.
(2018)OBJECTIVE: Data quality assessment is a challenging facet for research using coded administrative health data. Current assessment approaches are time and resource intensive. We explored whether association rule mining (ARM) ... -
The University of Waikato usability laboratory
(2001)The University of Waikato Usability Laboratory is an environment where researchers are able to study and assess the usability of products while being used by their intended users. It allows for flexible configuration, and ...
