9 research outputs found
GALADE: A Round-Trip Graphical Modelling Tool for Abstraction Layered Architecture Applications
In recent years, a new software architecture, the Abstraction Layered Architecture (ALA), has emerged at Datamars Ltd to help address the issue of code bases becoming harder to maintain over time. Previous quantitative assessments, using a refined set of metrics based on the ISO/IEC 25010 and 25023 quality models, have strongly indicated that using ALA to develop an application allows for high modularity, testability, reusability, and analysability. These merits are largely supported through the separation of logical software components into artefacts called \textit{domain abstractions}. These domain abstractions are wired together at runtime through common interfaces, through which they communicate with one another.
This usage of wiring has enabled the visualisation of ALA applications as directed port graphs, and has led ALA application development to incorporate a diagram-first approach. The design of the application would be drawn first, from which the application code would be written. The problem that arose, then, was that it was a manual and time-consuming process to ensure that changes in the diagram were correctly reflected in the code, and vice versa. After seeing promising results from a prototype code generation tool, Datamars Ltd sought to develop a graphical tool that could visualise ALA diagrams, automatically generate the corresponding application code, and keep both ends synchronised.
We have systematically examined the literature, and found that no tools exist that can holistically satisfy the requirements that such a tool would impose.
Therefore, this thesis presents the Graphical Abstraction Layered Architecture Development Environment (GALADE), a novel tool to support the visualisation and maintenance of ALA applications. The creation of this tool has been the result of a productive partnership between Auckland University of Technology (AUT) and Datamars Ltd. All of the development for this tool has been performed by the author, with consultation and resources provided by Datamars Ltd.
We have used the Design Science research methodology to frame the design, development, and evaluation of GALADE. A case study of GALADE in use at Datamars Ltd suggested that it improves productivity in ALA-based development, and a qualitative and quantitative evaluation has shown that GALADE shows significant improvements to the previous diagram-first design process for ALA.
Finally, ALA is a reference software architecture that has so far shown promise in the embedded software field, and research is underway to examine its applicability in other software fields. This implies that GALADE has the potential to be a general-purpose tool for the visualisation and development of highly maintainable software, therefore GALADE may be significant for the wider community of software engineering researchers and practitioners
Congenital Double Lip - Review of literature and a Case Report
Double lip is an abnormality caused by hyperplastic tissue of the labial mucosa that becomes more prominent on smiling. This congenital or acquired abnormality can interfere with chewing, speaking, and esthetics. Recognition of double lip and appropriate surgical treatment can reduce these potential problems. The purpose of this article is to report a case and review the literature.  
Condylar Osteomyelitis Secondary to Dental Extraction: An Unforeseen Consequence
Osteomyelitis of the mandibular condyle is an uncommon disease with a scarce mention in the medical and dental literature. This clinical case describes osteomyelitis of mandibular condylar process, coronoid process and ramus in a 30 year old woman as a severe complication following third molar removal. Timely intervention with a less invasive procedure saved the patient from the significant morbidity possible with infection in this region
Quad Zygomatic Implants for Rehabilitation of Atrophic Maxilla: A Case Report and Review
Patients with moderate to severe atrophic maxilla challenge the surgeon to discover alternative ways to use existing bone or resort to augmenting the patient with autogenous or alloplastic bone materials. Many procedures have been suggested for these atrophied maxillae before implant placement, which include Le Fort I maxillary downfracture, onlay bone grafts and maxillary sinus graft procedures. A zygomatic implant can be an effective device for rehabilitation of the severely resorbed maxilla. If zygomatic implants are used, onlay bone grafting or sinus augmentation will not be necessary. The purpose of this paper is to review the indications of zygomatic implants placement techniques, stabilization, and prosthodontic procedures
Three Dimensional Plates in the Fixation of Mid Face Fractures: A Case Series
Maxillofacial trauma refers to any injury to the face and jaw. These injuries are common in motor vehicle accidents, assaults, fall and sports injuries. Improperly treated maxillofacial trauma can lead to functional, aesthetic and psychological complications. These may arise due to incomplete healing, mal-alignment or inadequate reduction and fixation of facial structures. The method of fixation can range from a simple closed reduction to open reduction requiring the use of non or semi rigid and rigid fixations. Three dimensional plates are commonly used for the fixation of mandibular fractures, but their application in management midface fractures remains relatively under explored. This case series presents three reports highlighting the applications of three-dimensional plates in fixation of midface bone fractures
Channel state information based physical layer authentication for Wi-Fi sensing systems using deep learning in Internet of things networks
\ua9 2024 The Author(s). IET Wireless Sensor Systems published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. Security problems loom big in the fast-growing world of Internet of Things (IoT) networks, which is characterised by unprecedented interconnectedness and data-driven innovation, due to the inherent susceptibility of wireless infrastructure. One of the most pressing concerns is user authentication, which was originally intended to prevent unwanted access to critical information but has since expanded to provide tailored service customisation. We suggest a Wi-Fi sensing-based physical layer authentication method for IoT networks to solve this problem. Our proposed method makes use of raw channel state information (CSI) data from Wi-Fi signals to create a hybrid deep-learning model that combines convolutional neural networks and long short-term memory networks. Rigorous testing yields an astonishing 99.97% accuracy rate, demonstrating the effectiveness of our CSI-based verification. This technology not only strengthens wireless network security but also prioritises efficiency and portability. The findings highlight the practicality of our proposed CSI-based physical layer authentication, which provides lightweight and precise protection for wireless networks in the IoT
Splitting frequency behavior of wireless power transfer for eddy current testing applications
\ua9 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.This paper presents a novel approach for Non-destructive Testing and Evaluation (NDT&E) of cracks in metallic structures using Eddy Current Testing (ECT) integrated with the resonance Wireless Power Transfer (WPT) concept. The proposed method enhances ECT for efficient power transfer between transmitter-receiver (Tx-Rx) coils and employs Gaussian Random Projection (GRP) for feature reduction, enabling real-time data processing. Experimental results on two aluminium material samples demonstrate the effectiveness of the proposed approach in localising and characterising slots, with an R2-value/RMSE of 99.86%/0.06 mm for width and 99.38%/0.25 mm for depth slot parameters. The findings highlight the potential of this method for improving NDT&E of metallic structures
An unsupervised approach for the detection of zero-day distributed denial of service attacks in Internet of Things networks
\ua9 2024 The Author(s). IET Networks published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.The authors introduce an unsupervised Intrusion Detection System designed to detect zero-day distributed denial of service (DDoS) attacks in Internet of Things (IoT) networks. This system can identify anomalies without needing prior knowledge or training on attack information. Zero-day attacks exploit previously unknown vulnerabilities, making them hard to detect with traditional deep learning and machine learning systems that require pre-labelled data. Labelling data is also a time-consuming task for security experts. Therefore, unsupervised methods are necessary to detect these new threats. The authors focus on DDoS attacks, which have recently caused significant financial and service disruptions for many organisations. As IoT networks grow, these attacks become more sophisticated and harmful. The proposed approach detects zero-day DDoS attacks by using random projection to reduce data dimensionality and an ensemble model combining K-means, Gaussian mixture model, and one-class SVM with a hard voting technique for classification. The method was evaluated using the CIC-DDoS2019 dataset and achieved an accuracy of 94.55%, outperforming other state-of-the-art unsupervised learning methods
Women’s and men’s authorship experiences: A prospective meta-analysis
The opaqueness of author naming and ordering, when coupled with power dynamics, can lead to a number of disadvantages in academic careers. In this commentary, we investigate gender differences in authorship experiences in a large prospective meta-analytic study (k = 46; n = 3,565; 12 countries). We find that women’s and men’s authorship experiences differ significantly with women reporting greater prevalence of problematic behaviors. We present seven actionable recommendations for improving the receipt and reporting of intellectual credit. Such actions are needed to ensure fairness in authorship, which is one of the most powerful factors in academics’ career outcomes
