ARC (Academic Research Collection) (College Dubin)
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Analyse the influence that music has on students’ concentration levels.
Get PDFThis project aims to present the influence that music has on concentration levels while studying. It will present the results of some experiments that have been developed by specialists, specifically to measure the performance of students with and without music. It will also be presented how the music industry can benefit from it financially
Problem Solving for Industry
Get PDFThis project seeks to use reinforcement learning to develop AI agents used to controlled NPCs in video game worlds that are capable of mastering decision tasks in their video game environments. Our job will be to develop algorithms and methods that can effectively train the AI agents using Reinforcement learning, which can be used in various gaming environments and scenarios such as racing games and first-person shooters. We then market these agents to video game developers for use in their game worlds. The developer can use our agents as-is in their game without modifications or they can train them further, using our algorithms, to tune the AI agents with various behaviours and capability with minimal or no need to write the code themselves. With the use of reinforcement learning, our AI agents will learn using trial and error with rewards used to provide feedback to the AI. Over time the AI will master its environment and other AI and even possibly interaction with the human-gamer. This will produce AI controlled NPCs that behave and interact convincingly with their environments and the player, promoting player immersions while reducing developer workload
Institutional repositories:The HECA experience
Get PDFThis presentation was delivered by the HECA Research Group as part of the first HECA Research Conference that took place in November 2022.
The HECA Research Group is comprised of Ann Byrne from Hibernia College, Tiernan O\u27 Sullivan from Dublin Business School and Debora Zorzi from CCT College in collaboration with Dimphne Ni Bhraonain from Griffith College.
The presentation covers a range of topics related to institutional repositories, including setting up and maintaining a repository, copyright issues and the future of repositories.https://arc.cct.ie/fac_presentations/1008/thumbnail.jp
Logistics outsourcing and its impact on businesses: a study into the changing trends in the 3PL market
Get PDFThis research addresses the question, what are the challenges for 3PL providers to fulfil shippers’ expectations in outsourcing logistic functions and what are the trends from 2012 to 2020 in the 3PL industry globally. 3PL global and domestic markets are constantly changing. As a consequence of this, it is absolutely necessary for both users and providers of 3PL services to ensure that they are well-prepared in terms of the strategies, procedures, and technologies available to them. This can be accomplished in part by bridging the gap between what the shippers desire and what service providers offer. Hence, this paper attempts to broadly identify and categorize the challenges faced by 3PL companies and discover potential gaps for future research.
This research explores the findings of The Annual Third-Party Logistics Study reports from 2012 to 2020 as secondary data published by 3PLStudy website which aims to determine trends in shipper’s expectations for 3PL services and to identify critical shipper and 3PL viewpoints on the utilisation and provision of logistics services. Furthermore, an in-deep interview by senior manager is conducted to support the study. The documents were examined through a NVivo software.
This research reports findings that the use of 3PLs allows the shippers to concentrate on its core capabilities. The study shows that the majority of shippers and 3PL providers have a positive relationship. They agreed that their relationships generally have been successful. The study also reports activities that are more transactional, repetitive, and operational in nature tend to be the ones that are outsourced the most frequently. The activities such as domestic transportation, international transportation, warehousing, freight forwarding, and customs brokerage are the most common ones to be contracted out to a third party. However, an IT gap has grown significantly. Shippers in general are looking to their third-party logistics providers for needed IT technologies. Shippers and their 3PL providers are increasingly forming significant partnerships and collaborating to achieve supply chain objectives. It would appear that both sides have a much-heightened awareness of the objectives they are working toward, as well as the ways in which the accessibility of data and the application of technology might assist them in achieving those objectives
CCT Professional Development Bulletin May 2022
Get PDFBulletin contains details of upcoming professional development events and also the recordings of recent events
Addressing Employee Turnover in the Restaurant Industry of Ireland
Get PDFThis study aims to determine the causes of employee turnover in the restaurant industry in Ireland. It is well known that this sector represents high levels of employee turnover and staff shortages. Due to this, strategies aimed at counteracting the loss of employees and the attraction of new personnel will be proposed. This study seeks to delve into the voluntary causes for which employees decide to resign, increasing the unemployment rate, and therefore costs for the restaurant industry.
The applied research methodology considers the qualitative method, through surveys of employees who work directly in the hospitality sector, specifically in restaurants, through the sampling method, applied to 4 restaurants in Dublin. Identifying the age ranges among the participants, gender, nationality, and work satisfaction, as well as retention strategies, intending to provide reliable information so that the management area can identify which factors would contribute to reducing employee turnover rates or keeping them at acceptable levels.
Through the primary information, it is concluded that most of the employees were not happy with the treatment of the administrative area, the workloads they have, and the salary since they considered that the effort and responsibility that their work does not represent the salary received. There are high percentages of work stress, as well as discontent at work, due to the lack of rotation of activities and unbalanced working hours so that they can have a balanced life, as well as personal factors that are beyond the control of the managers. Concluding with the research, the relationship between the lack of application of retention strategies with the increases in voluntary unemployment rates is clearly shown, the reasons why they are not satisfied with their work can clearly be readdressed and some of they do not represent a high cost for the company, only a better organization and communication with the employees, so that they feel that they are considered an important part of the company where they work
The use of deep learning solutions to develop a practice tool to support Lámh language for communication partners
Get PDFThis study has proposed an alternative to promote the learning and enhancement of Lámh language for communication partners that support current users by creating a real time detection tool to recognise 20 chosen Lámh signs based on existing studies in the field. This implementation was carried out by generating primary data composed by MediaPipe landmark numpy arrays of 40 frames and 45 repetitions per sign. The Neural Networks were built using the Python library Keras and the applied SVM models were built with the library sklearn. The real time detection was carried out by integrating the mentioned elements with the library OpenCV. Neural Networks with different architectures with Long Short-Term Memory (LSTM) and 1D Convolutional Neural Network (CNN) were compared with SVM classifications applied with cross-validations to achieve the optimal hyperparameters in order to determine the most appropriate model.
The final chosen model after the assessment of the training and testing accuracy and loss was the two 1-D CNN layers with 32 and 64 nodes respectively, a dropout of 0.2 followed by two LSTM layers with 32 and 64 nodes respectively and a dense layer of 32 nodes. The training accuracy was 99.86%, the testing accuracy was 93.33%, the training loss was 0.0035 and the testing loss was 0.1791. This was the model which performed better in a real-time detection environment, easily detecting 8 different Lámh signs and detecting other 6 with reservations.
For future work, some skeletal motion signs should be captured again and other data augmentation strategies should be adopted, like capturing hips and legs landmarks alongside the signs and explore the augmentation of the data by promoting offset measures of the landmark coordinates of the skeletons captured by MediaPipe. Once the corrections of the methodology achieve better real time results, works toward tool accessibility and user experience should be investigated in order to generate a Lámh language real-time detection tool that could potentially promote Lámh and become a learning alternative for communication partners