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72 research outputs found
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Communicating Cooperatively Scheduled Processes: On the Unlikelihood of Implementing a Pure CSP Channel
No full textThis paper presents the modelling of the ProcessJ cooperative runtime environment for the implementation of a CSP-inspired communication channel. We used the CSP tool FDR to verify the correctness of the ProcessJ runtime and primitives, demonstrating how we have overcome a limitation in the existing ProcessJ runtime to improve behaviour. However, our work has demonstrated a limitation when trying to claim a cooperatively-scheduled channel implementation meets the abstract specification of a CSP channel. Our conclusion is that without sufficient hardware to execute all processes at once, a channel implementation cannot fully meet its specification when considering the execution environment in which the channel must operate. We are
assured that the ProcessJ channel works correctly, such as other implementations including JCSP and CSO, but we are not assured that modelling can use a pure CSP channel in place of a ProcesssJ channel or other
implementation when undertaking modelling due to unintended prioritisation occurring when not enough resources are available for full concurrency. Our work has demonstrated the need to consider the execution environment as it may cause behavioural issues not detected when only modelling a system in the abstract
AI-driven melanoma detection in New Zealand: A ResNet50-based approach
No full textMelanoma is a significant public health challenge in New Zealand due to high levels of ultraviolet (UV) radiation. While early detection is critical for improving patient outcomes, achieving consistently high diagnostic accuracy remains challenging. In this study, we used a fine-tuned ResNet50 convolutional neural network (CNN) for automated melanoma detection using dermoscopic images. The model was trained on large, publicly available datasets (HAM10000 and ISIC) using state-of-the-art techniques, including hyperparameter optimization, data augmentation, batch normalization, and adaptive learning rates, demonstrating its potential effectiveness. This approach achieved an accuracy of 95.1% on benchmark datasets. When tested on a dataset comprising New Zealand patients, the model achieved an accuracy of 78.4%. This underscores the need for further fine-tuning to optimize performance for local populations. The proposed model demonstrates promising performance within the New Zealand healthcare context, but also emphasizes the need for validation across diverse geographic populations to ensure broader clinical applicability
The Ethics of Understanding: Selecting a Research Methodology in Social Sciences
No full textThis chapter examines ethical issues across research methods and frames interpretation itself as an inherently ethical act. Traditional safeguards like informed consent and confidentiality are important yet are insufficient for addressing the moral complexities of meaning-making in research. Drawing on hermeneutic traditions, the chapter introduces ‘ethical hermeneutics,' viewing interpretation as shaped by subjectivity, power, and responsibility. It offers a critique of qualitative, quantitative, and mixed methods, and demonstrates how each approach can embed ethical safeguards into the construction of knowledge, representation of participants, and truth claims. Since interpretation is never neutral, being mediated by the researcher's assumptions, lived experience, and cultural context, the chapter recommends practices such as reflexive journaling, dialogical validation, ethical transparency, and contextual grounding. These strategies promote accountability, mitigate bias, and more accurately represent participant voices
Secure Factory Automation Using IoT-Based Clustered PD-NOMA
No full textFactory automation increasingly relies on IoTs to achieve security through continuous monitoring and control. However, the rapid expansion of connectivity increases security risks. Identifying these challenges requires a tactical approach, such as implementing secure infrastructure to enhance data security and employing distributed control methods to locate controllers closer to the machines they supervise, thus minimising the centralised vulnerabilities. Wearable IoT devices are increasingly integrated into industrial operations, working with human operators to enhance task efficiency. Adopting 5G technology presents a promising solution, including low latency, high scalability, and improved energy efficiency. In this research, the proposed clustering method of 5G in Industrial IoT (IIoT) is intended to reduce radio resource delay and improve the security and data rate more effectively. The proposed hybrid clustering method with PD-NOMA reduces the radio resource delay by improving the real-time data transmission and throughput, and security by applying localised clustering. This study proposes a 5G based clustering approach for IIoT to reduce radio resource delays and increase secure data transmissions by minimising interference. The results show several connected nodes and a significant increase in data rate and coverage probability. This work highlights the importance of secure and efficient communication in advancing IIoT technologies
An Industrial Internet of Things (IIOT) With an Underlying Clustered 5G HetNet
No full textIndustry 4.0 demands high-capacity, low-latency communication to support Industrial Internet of Things (IIoT) and wearable technologies in smart manufacturing. This study proposes an IIoT framework based on a clustered 5G heterogeneous network (HetNet) to enhance system performance. Wearable IoT devices enable improved safety, efficiency, and real-time monitoring. To address interference and resource management challenges in dense networks, a hybrid clustering scheme with interference management is introduced. Simulation results show an 8% capacity improvement over unified PD-NOMA and over 80% improvement compared to IMHC, with reduced end-to-end delay and higher throughput
Design and Deployment Considerations for Ethically Advanced Technologies for Human Flourishing in the Workplace
Full text linkAdvanced technologies are increasingly integrated in to modern workplaces in situations to automate mundane tasks, improve safety, increase speed and efficiency in work production. Artificial Intelligence (AI) is playing an increasingly central role in advanced technology design. In parallel, there may be growing concern from workers that AI in workplace technologies will take away jobs and autonomy from humans. This paper proposes how to include key ethical factors in technology design processes and discusses future implications for AI in the workplace. Key ethical factors considered are privacy, security, integrity and equity. We reflect on employee experience factors of belonging, purpose, achievement, happiness and vigour that can underpin discretionary efforts of workers and discuss how these factors relate to low desire behaviours. We review application areas and propose a layered model approach and design and deployment considerations needed for cultivation of ethically advanced technology (ETHAD), that give potential for human flourishing
Smart Health: Sensors, Big Data, and Cloud Computing in the Health Sector in the U.A.E
Full text linkThe role of healthcare is critical in all communities, and the development of efficient healthcare systems is a top priority for governments and health organizations on a world-wide basis. With the technological advances of the past decades transforming almost every aspect of our lives, it is unsurprising that healthcare has become the subject of rapid, technologically-driven transformations under the concept of smart health. This is an umbrella term covering a range of underlying concepts and technologies, such as wearable devices and sensors and the use of big data and cloud computing in the broader context of health services and infrastructures [1]. The purpose of this study is to explore how these three main components of the smart health model, are integrated into, and affecting the smart health systems in the U.A.E
Excitement lies elsewhere: Teenage film-makers and popular culture
Full text linkWhen teenagers are given access to digital media equipment, their teachers and film club leaders may
hope that they will take the opportunity to make films of personal significance. Instead, young people
often choose to engage in a parodic dialogue with popular culture, in a process which feels more
familiar and/or comfortable to them, providing as it does a creative space unburdened by expectations
of sincere expression. From a survey of numerous short films made in Scotland, it is evident that
the use of pastiche and parody facilitates both progressive and reactionary perspectives, often within the
same film. Exploring a series of detailed case studies of films made by young people in Scotland in the
early 2000s, this article argues that parody can provide for young people an aesthetic distance from
personal expression, which, ironically, is unexpectedly revealing of generalised teenage sociocultural
attitudes
Illustration Research Methods
No full textFor years illustration has lacked a strong critical history in which to frame it, with academics and media alike assessing it as part of design rather than a discipline in its own right. Illustration Research Methods addresses this void and adds to a fast-emerging discipline, establishing a lexicon that is specific to discussing contemporary illustration practice and research.
The chapters are broken down into the various roles that exist within the industry and which illustration research can draw from, such as 'Reporting' and 'Education'. In doing so, users are able to explore a diverse range of disciplines that are rich in critical theory and can map these existing research methodologies to their own study and practice.
Supported by a wealth of case studies from international educators, student projects sit alongside those of world-renowned illustrators. Thus allowing users the opportunity to put what they have learnt into context and offering insight into the thinking and techniques behind some of illustrations' greats
Virtual and Augmented Reality: Enhancing the Learning Experience in Higher Education in the UAE. Current Standing & Research Directions
Full text linkVirtual and Augmented Reality: Enhancing the learning experience in higher education in the U.A.E. Current standing & research direction