Open Access. Powered by Scholars. Published by Universities.®
Computer and Systems Architecture Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Digital Communications and Networking (7)
- Architectural Engineering (6)
- Architectural Technology (6)
- Architecture (6)
- Civil and Environmental Engineering (6)
-
- Construction Engineering (6)
- Construction Engineering and Management (6)
- Other Engineering (6)
- Civil Engineering (5)
- Other Civil and Environmental Engineering (5)
- Data Storage Systems (4)
- Environmental Engineering (4)
- Electrical and Computer Engineering (3)
- Hardware Systems (3)
- Structural Engineering (3)
- Computer Sciences (2)
- Education (2)
- Medicine and Health Sciences (2)
- Other Computer Engineering (2)
- Physical Sciences and Mathematics (2)
- Social and Behavioral Sciences (2)
- Artificial Intelligence and Robotics (1)
- Computational Linguistics (1)
- Databases and Information Systems (1)
- Digital Circuits (1)
- Discourse and Text Linguistics (1)
- Educational Methods (1)
- Keyword
-
- Building Information Modelling (3)
- Ireland (3)
- Azure (2)
- BIM (2)
- Education (2)
-
- IaC; code quality; static code analysis (2)
- Nomad (2)
- SDN (2)
- Terraform (2)
- XML (2)
- 78rpm (1)
- AC (1)
- AC MIC (1)
- AIOps; network fault detection; traffic engineering (1)
- API; gateway; cloud (1)
- ARIMA (1)
- AWS (1)
- Acceleration (1)
- Accessibility (1)
- Activities (1)
- Adoption. (1)
- Air pollution (1)
- Anxiety levels (1)
- App Engine (1)
- Archetypes (1)
- Argumentation (1)
- Artificial intelligence (1)
- Artificial neural networks (1)
- ArtificialI intelligence(AI) (1)
- BIPV (1)
- Publication Year
- Publication
- Publication Type
Articles 1 - 30 of 69
Full-Text Articles in Computer and Systems Architecture
Securing Iac:Comparing Checkov, Terrascan, And Tfsec On Aws And Azure, Maliha Binte Ruhul Amin, David White
Securing Iac:Comparing Checkov, Terrascan, And Tfsec On Aws And Azure, Maliha Binte Ruhul Amin, David White
Academic Poster Collection
Securing IaC:Comparing Checkov, Terrascan, and Tfsec on AWS and Azure
Comparison Of Kafka Operators: Strimzi Vs Koperator Vs Confluent: A Comprehensive Industry Analysis, Ankit Anthony, Gary Clynch
Comparison Of Kafka Operators: Strimzi Vs Koperator Vs Confluent: A Comprehensive Industry Analysis, Ankit Anthony, Gary Clynch
Academic Poster Collection
Comparison of Kafka Operators: Strimzi vs Koperator vs Confluent: A Comprehensive Industry Analysis
Analysis Of Impact Of Configuration Choice Upon Azure Service Bus Performance, Brian Skehan, Mary Rose Donnelly
Analysis Of Impact Of Configuration Choice Upon Azure Service Bus Performance, Brian Skehan, Mary Rose Donnelly
Academic Poster Collection
Analysis of impact of configuration choice upon Azure Service Bus performance.
Comparative Analysis Of Mysql And Mongodb In A High-Concurrency System, Gabriel Solares, Cormac Keogh
Comparative Analysis Of Mysql And Mongodb In A High-Concurrency System, Gabriel Solares, Cormac Keogh
Academic Poster Collection
Comparative Analysis of MySQL and MongoDB in a High-Concurrency System
Analysis Of Functional Programming Languages For Use In Serverless Lambda Functions On Aws Platform, William Spain, Gary Clynch
Analysis Of Functional Programming Languages For Use In Serverless Lambda Functions On Aws Platform, William Spain, Gary Clynch
Academic Poster Collection
Analysis of functional programming languages for use in serverless lambda functions on AWS platform
A Comparison Of Terraform And Bicep Quality Attributes, Colm O'Hara, Kevin Bayliss
A Comparison Of Terraform And Bicep Quality Attributes, Colm O'Hara, Kevin Bayliss
Academic Poster Collection
A Comparison of Terraform and BICEP Quality Attributes
Comparing Kubernetes And Nomad For Hosting .Net Legacy Workloads In Azure, Luke Osbourne, Omar Portillo
Comparing Kubernetes And Nomad For Hosting .Net Legacy Workloads In Azure, Luke Osbourne, Omar Portillo
Academic Poster Collection
Comparing Kubernetes and Nomad for hosting .NET legacy workloads in Azure
Evaluating Kubernetes Security Mechanisms For Dos Prevention: A Comparative Analysis Of Multi-Layer Protection Strategies, Sergej Dikun, Omar Portillo
Evaluating Kubernetes Security Mechanisms For Dos Prevention: A Comparative Analysis Of Multi-Layer Protection Strategies, Sergej Dikun, Omar Portillo
Academic Poster Collection
Evaluating Kubernetes Security Mechanisms for DOS Prevention: A Comparative Analysis of Multi-layer Protection Strategies
Improving Iac Script Quality: Evaluating Static Analysis Tools And Establishing Best Practices, Isha Rai, Kevin Bayliss
Improving Iac Script Quality: Evaluating Static Analysis Tools And Establishing Best Practices, Isha Rai, Kevin Bayliss
Academic Poster Collection
Improving IaC Script Quality: Evaluating Static Analysis Tools and Establishing Best Practices
Comparative Cost And Capacity Analysis Of Managed Service And Non-Managed Service Api Gateway Architectures On Leading Cloud Platforms, George Brown, Cormac Keogh
Comparative Cost And Capacity Analysis Of Managed Service And Non-Managed Service Api Gateway Architectures On Leading Cloud Platforms, George Brown, Cormac Keogh
Academic Poster Collection
Comparative Cost and Capacity Analysis of Managed Service and Non-Managed Service API Gateway Architectures on Leading Cloud Platforms
The Irish Food Manufacturing Industry’S Preparedness For Nis2 Cybersecurity, Niall Mcgowan, Mary Rose Donnelly
The Irish Food Manufacturing Industry’S Preparedness For Nis2 Cybersecurity, Niall Mcgowan, Mary Rose Donnelly
Academic Poster Collection
The Irish Food Manufacturing Industry’s Preparedness for NIS2 Cybersecurity
A Comparison Of Aks And K3s On Vmss, Craig Dillon, Omar Portillo
A Comparison Of Aks And K3s On Vmss, Craig Dillon, Omar Portillo
Academic Poster Collection
A Comparison of AKS and K3s on VMSS
Comparison Of Asynchronous Architectural Patterns On Aws & Gcp Using Terraform, Alan Mcgee, Mary Rose Donnelly
Comparison Of Asynchronous Architectural Patterns On Aws & Gcp Using Terraform, Alan Mcgee, Mary Rose Donnelly
Academic Poster Collection
Comparison of Asynchronous Architectural Patterns on AWS & GCP Using Terraform
Examining Terraform And Bicep: A Comparative Analysis Of Infrastructure As Code Tools For Provisioning Azure Environments, Richard Coffey, Kevin Bayliss
Examining Terraform And Bicep: A Comparative Analysis Of Infrastructure As Code Tools For Provisioning Azure Environments, Richard Coffey, Kevin Bayliss
Academic Poster Collection
Examining Terraform and Bicep: A Comparative Analysis of Infrastructure as Code Tools for Provisioning Azure Environments
Nomad Vs. Kubernetes, Alexandru Constantin Cardas, Omar Portillo
Nomad Vs. Kubernetes, Alexandru Constantin Cardas, Omar Portillo
Academic Poster Collection
Nomad vs. Kubernetes
Investigation Into Finops Techniques To Optimise Cost In Aws Cloud Deployments, Denis Parker, Kevin Bayliss
Investigation Into Finops Techniques To Optimise Cost In Aws Cloud Deployments, Denis Parker, Kevin Bayliss
Academic Poster Collection
Investigation Into FinOps Techniques To Optimise Cost in AWS Cloud Deployments
The Business-Day Cloud: A Hybrid Kubernetes And Serverless Solution For Sustainable Scaling With Predictable Load Patterns, Brendan Burnside, David White
The Business-Day Cloud: A Hybrid Kubernetes And Serverless Solution For Sustainable Scaling With Predictable Load Patterns, Brendan Burnside, David White
Academic Poster Collection
The Business-Day Cloud: A Hybrid Kubernetes and Serverless solution for Sustainable Scaling with Predictable Load Patterns
An Evaluation Of Zero Trust Principles In Modern Software Development, Cezar Vararu, David White
An Evaluation Of Zero Trust Principles In Modern Software Development, Cezar Vararu, David White
Academic Poster Collection
An evaluation of Zero Trust Principles in modern software development
Cost Optimization In Open Telemetry, Niksa Jadric, Cormac Keogh
Cost Optimization In Open Telemetry, Niksa Jadric, Cormac Keogh
Academic Poster Collection
Cost Optimization in Open Telemetry
Exploring Rust’S Performance In A Serverless Environment, Saoirse Mullen, Gary Clynch
Exploring Rust’S Performance In A Serverless Environment, Saoirse Mullen, Gary Clynch
Academic Poster Collection
Exploring Rust’s Performance in a Serverless Environment
Performance Evaluation Of Zabbix And Azure Monitor In Hybrid It Infrastructure, Ivan Godoy, Cormac Keogh
Performance Evaluation Of Zabbix And Azure Monitor In Hybrid It Infrastructure, Ivan Godoy, Cormac Keogh
Academic Poster Collection
Performance Evaluation of Zabbix and Azure Monitor in Hybrid IT Infrastructure
Ai-Based Predictive Analytics For Network Operations, Timur Nikisin, David White
Ai-Based Predictive Analytics For Network Operations, Timur Nikisin, David White
Academic Poster Collection
AI-Based Predictive Analytics for Network Operations
Case Studies Of Restapi And Graphql Architectures, Janni Daniel Balraj, Gary Clynch
Case Studies Of Restapi And Graphql Architectures, Janni Daniel Balraj, Gary Clynch
Academic Poster Collection
The adoption of microservices architecture has experienced significant growth, driven by its appeal in terms of modularity, scalability, and deployment ease. However, this proliferation of microservices has intensified the demand for efficient data exchange among them. While REST API has long been the standard protocol for microservices communication, its limitations in flexibility and performance have spurred the ascent of GraphQL as a more efficient alternative, as highlighted by studies comparing their performance. As the number of microservices continues to rise, traditional methods like REST APIs prove challenging, leading to issues such as over-fetching or under-fetching of data. GraphQL addresses these …
Effectiveness Of Generative Ai On The Development Of Graphic Software Artifacts, Gary Clynch, Ellen Mezera
Effectiveness Of Generative Ai On The Development Of Graphic Software Artifacts, Gary Clynch, Ellen Mezera
Academic Poster Collection
Effectiveness of Generative AI on the Development of Graphic Software Artifacts
Fake News Detection In Online Platforms, Elena Shushkevich
Fake News Detection In Online Platforms, Elena Shushkevich
Doctoral
This thesis presents research conducted during a Ph.D. program at Technological University Dublin from 2020 to 2024. The objective of this research is to develop and evaluate effective methods for detecting and classifying fake news in social media and press, addressing the critical issue of misinformation in the digital age. The relevance of this study is underscored by the increasing prevalence of fake news and its potential societal impact, emphasizing the importance of advanced tools for identifying and mitigating misinformation.
Poly-Gan: Regularizing Polygons With Generative Adversarial Networks, Lasith Niroshan, James Carswell
Poly-Gan: Regularizing Polygons With Generative Adversarial Networks, Lasith Niroshan, James Carswell
Conference Papers
Regularizing polygons involves simplifying irregular and noisy shapes of built environment objects (e.g. buildings) to ensure that they are accurately represented using a minimum number of vertices. It is a vital processing step when creating/transmitting online digital maps so that they occupy minimal storage space and bandwidth. This paper presents a data-driven and Deep Learning (DL) based approach for regularizing OpenStreetMap building polygon edges. The study introduces a building footprint regularization technique (Poly-GAN) that utilises a Generative Adversarial Network model trained on irregular building footprints and OSM vector data. The proposed method is particularly relevant for map features …
Bilstm−Bigru: A Fusion Deep Neural Network For Predicting Air Pollutant Concentration, Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan
Bilstm−Bigru: A Fusion Deep Neural Network For Predicting Air Pollutant Concentration, Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan
Conference papers
Predicting air pollutant concentrations is an efficient way to prevent incidents by providing early warnings of harmful air pollutants. A precise prediction of air pollutant concentrations is an important factor in controlling and preventing air pollution. In this paper, we develop a bidirectional long-short-term memory and a bidirectional gated recurrent unit (BiLSTM−BiGRU) to predict PM 2.5 concentrations in a target city for different lead times. The BiLSTM extracts preliminary features, and the BiGRU further extracts deep features from air pollutant and meteorological data. The fully connected (FC) layer receives the output and makes an accurate prediction of the PM 2.5 …
Combinedeepnet: A Deep Network For Multistep Prediction Of Near-Surface Pm2.5 Concentration, Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan
Combinedeepnet: A Deep Network For Multistep Prediction Of Near-Surface Pm2.5 Concentration, Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan
Conference papers
PM2.5 is a type of air pollutant that can cause respiratory and cardiovascular problems. Precise PM2.5 ( μg/m3 ) concentration prediction may help reduce health concerns and provide early warnings. To better understand air pollution, a number of approaches have been presented for predicting PM2.5 concentrations. Previous research used deep learning models for hourly predictions of air pollutants due to their success in pattern recognition, however, these models were unsuitable for multisite, long-term predictions, particularly in regard to the correlation between pollutants and meteorological data. This article proposes the combine deep network (CombineDeepNet), which combines multiple deep networks, including a …
Machine Learning For Accessible Web Navigation, Tlamelo W. Makati
Machine Learning For Accessible Web Navigation, Tlamelo W. Makati
Conference papers
This research looks at the application of Machine Learning to Web Accessibility. It considers how Machine Learning (ML) can be used to help make the processes of Web Navigation more accessible in line with Web Content Accessibility Guideline (WCAG) 2.4 Navigable, which demands that ways be provided "to help users navigate, find content, and determine where they are." ML techniques such as reinforcement learning have been applied to website navigation in diverse ways. These include goal-directed search to answer questions and task-oriented problems such as booking a flight. Related work includes Web Automation and Testing. These techniques typically involve a …
Formulating Automated Responses To Cognitive Distortions For Cbt Interactions, Ignacio De Toledo, Giancarlo Salton, Robert J. Ross
Formulating Automated Responses To Cognitive Distortions For Cbt Interactions, Ignacio De Toledo, Giancarlo Salton, Robert J. Ross
Conference papers
One of the key ideas of Cognitive Behavioural Therapy (CBT) is the ability to convert negative or distorted thoughts into more realistic alternatives. Although modern machine learning techniques can be successfully applied to a variety of Natural Language Processing tasks, including Cognitive Behavioural Therapy, the lack of a publicly available dataset makes supervised training difficult for tasks such as reforming distorted thoughts. In this research, we constructed a small CBT dataset via crowd-sourcing, and leveraged state of the art pre-trained architectures to transform cognitive distortions, producing text that is relevant and more positive than the original negative thoughts. In particular, …