Atlantic Techological University (Sligo)
https://research.thea.ie/handle/20.500.12065/3
2024-03-28T13:12:18Z
-
Mathematical modelling of the bovine estrus cycle and an investigation into silent heat and twinning /
https://research.thea.ie/handle/20.500.12065/4716
Mathematical modelling of the bovine estrus cycle and an investigation into silent heat and twinning /
Wieteska, Malgorzata Joanna
2020-01-01T00:00:00Z
-
Social care placement-based learning : the incorporation story /
https://research.thea.ie/handle/20.500.12065/4714
Social care placement-based learning : the incorporation story /
Byrne, Elizabeth Anne (Lillian)
This study provides contextual knowledge about how social care work students’
professional ontology can be supported during placement. Relativist ontology and social
phenomenological epistemology allows placement to be considered a key site of
professional socialisation. The study had the objectives of identifying placement-based
symbolic growth experiences participants associated with their sense of becoming a social
care worker; ascertaining social infrastructures and pedagogical activities which ‘hooked’
or ‘rebuffed’ participants’ sense of becoming a social care worker, and infer socio-cultural
narratives held within individual experiences of ontological change.
Following first and second placement, 13 social care work newcomers drawn for four Irish
social care work education programmes participated in socio-linguistic interviews. In doing
so, they provided a natives’ ideocratic insight into moments when they gained an
awareness of becoming (or needing to become a) social care worker. Narrative analysis
of becoming stories found disrupting experiences were essential to orientating participants
toward thinking about social care practice or thinking about how their personal biographies
fit with social care work.
The study concludes that immersion in social care work practice, bounded agency, and
support by occupational luminaries are necessary for placement to incorporate students
into social care work. The main recommendation from the research is to supplement the
dominant constructivist view of placement with an anthropological view and consider
placement as a site of socio-cultural learning and human production. Two future research
studies are recommended, with one study testing the validity of narrative typologies
inferred in this study, and the other developing a deeper understanding of how social care
work (re)generates itself through its human production practices.
2021-01-01T00:00:00Z
-
Prediction of Hotspots in Injection moulding by Using Simulation, In-mould Sensors, and Machine Learning /
https://research.thea.ie/handle/20.500.12065/4712
Prediction of Hotspots in Injection moulding by Using Simulation, In-mould Sensors, and Machine Learning /
Kariminejad, Mandana; Tormey, David; O'Hara, Christopher; McAfee, Marion
Injection moulding is an industrial process for the mass production of plastic components, with many parameters affecting the quality of this process. Hotspot regions in the component occur due to non-optimised process variables or limitations in the cooling system and can lead to warpage or shrinkage. Hotspots should be minimised to avoid part defects and achieve the required dimensional tolerances for precision components. This work outlines a machine-learning-based approach for predicting the maximum hotspot temperature in an injection moulded component using process simulation and in-mould sensor data. The hotspots were identified through software simulation, and then their locations and temperatures were confirmed through an actual experiment using in-mould thermocouples. Two different machine learning approaches, artificial neural network (ANN) and support vector regression (SVR), were developed using the extracted data from the sensors and a design of experiment (DOE) method. The performance of linear and Gaussian kernels was compared for the SVR method. The Gaussian SVR resulted in superior
performance compared to the linear kernel. The Gaussian SVR was then compared to the ANN prediction method, where ANN
showed a slightly better prediction performance. This study has two primary outcomes. First, we show the simulation results
can be used to identify critical areas of the part for real-time monitoring. Secondly, embedding sensors in these locations and
applying a machine learning approach to the data, provides a good indication of potential quality issues such as warpage
and shrinkage post-production. The use of ANN indicates an accurate prediction performance, facilitating rapid optimisation
of the process for the minimisation of hotspots.
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
2023-07-03T00:00:00Z
-
An explorative analysis of effective project management of research and research-related projects within a newly formed multi-campus Technology University /
https://research.thea.ie/handle/20.500.12065/4699
An explorative analysis of effective project management of research and research-related projects within a newly formed multi-campus Technology University /
Higgins, Aidan
Higher education will be crucial in the coming decades in helping to make Ireland a nation known for
innovation, competitive enterprise, and ongoing academic success, as well as a desirable location to
live and work with a high quality of life, vibrant culture, and inclusive social structures. Higher
education institutions will actively connect with each student community, society, and business; they
will help students develop a sense of place and identity in Ireland and provide the tools they need to
contribute significantly to the global community.
It will also serve as a catalyst for novel ideas through research, many of which will become the
foundation for long-lasting innovative businesses in the future as part of the 2030 National Strategy
on Education. This strategy focuses on changing and developing our education system and how we
conduct research. The emphasis is central to knowledge transfer and a consistent research framework
while exploiting opportunities and having the necessary expertise. The newly formed Technological
Universities in Ireland are based on a government initiative to create a new type of higher education
institution focusing on applied and industry-focused research and education. The basis of the
Technological University is to bring together two or more existing Institutes of Technologies to create
a larger, more comprehensive institution that offers a broader range of programs and services to
students and industry partners. The Technological University model promotes collaboration between
academia, industry, and community organisations to foster innovation, research, and economic
development. The Technological University is designed to emphasise applied research, technology
transfer, and entrepreneurship to foster innovation and contribute to economic growth. Therefore,
effective Project Management of research projects within the newly formed Technological
Universities is central to ensuring the Technological University objectives are fulfilled.
A project is a collection of organised tasks to produce a singular output (product or service) within a
given time frame. Project Management is a set of activities that facilitates the successful
implementation of a project. The significant differences between research projects and development
projects are the (lack of) precise requirements and (the inability to) plan an outcome from the
beginning of the project. The evaluation criteria for a research project must consider these and other
"particularities" in works; for instance, proving something cannot be done may be a successful
outcome.
This study intends to explore how a newly established multi-campus Technological Universitymanages
research projects effectively. The study will identify the potentials and difficulties of managing
research projects, the tools, resources and processes available in a multi-campus Technological
5 | P a g e
University context and the methods and approaches employed to deal with these difficulties. Key
stakeholders like Project Managers, academics and administrators will be surveyed as part of the
study, which will also involve an explorative investigation of current literature and data. The findings
of this study will contribute to creating best practices for Project Management in this setting and offer
insightful information about the efficient management of research projects within a multi-campus
Technological University.
2023-01-01T00:00:00Z