Search Results (233)

The capture of 3D reality has demonstrated increased efficiency and consistently accurate outcomes in architectural digitisation. Nevertheless, despite advancements in data collection, 3D reality-based modelling still lacks full automation, especially in the post-processing and modelling phase. Artificial intelligence (AI) has been a significant focus, especially in computer vision, and tasks such as image classification and object recognition might be beneficial for the digitisation process and its subsequent utilisation. This study aims to examine the potential outcomes of integrating AI technology into the field of 3D reality-based modelling, with a particular focus on its use in architecture and cultural-heritage scenarios. The main methods used for data collection are laser scanning (static or mobile) and photogrammetry. As a result, image data, including RGB-D data (files containing both RGB colours and depth information) and point clouds, have become the most common raw datasets available for object mapping. This study comprehensively analyses the current use of 2D and 3D deep learning techniques in documentation tasks, particularly downstream applications. It also highlights the ongoing research efforts in developing real-time applications with the ultimate objective of achieving generalisation and improved accuracy. Full article

The education sector has witnessed a significant shift towards digitising student records, with relevant data now stored in centralized data repositories. While traditional identity management solutions in education are functional, they often face various challenges, including data privacy concerns, limited portability, and reliability challenges. As the volume of student data continues to grow, inadequate data management practices have led to several problems. These include students losing control and empowerment over their educational information, increased vulnerability to potential data breaches and unauthorized access, a lack of transparency and accountability, data silos and inconsistencies, and administrative inefficiencies. To address these limitations, the implementation of a blockchain-assisted self-sovereign identity (Ba-SSI) concept in the education system presents a viable solution. Self-sovereign identity (SSI) represents a paradigm shift from traditional centralized identity systems, allowing individuals to maintain full control of their identity data without relying on centralized authorities. By leveraging the decentralized nature, SSI frameworks can ensure security, interoperability, and scalability, thereby improving user-centric identity management. This survey paper explores the potential of Ba-SSI within the context of education. It thoroughly reviews the current state of digital identity management in education, highlighting the limitations of conventional systems and the emerging role of blockchain technology in addressing these challenges. The paper discusses the fundamental principles of blockchain technology and how it can be utilized to enhance security, interoperability, and scalability in identity management. Additionally, it examines the insights and benefits of this approach for the education system. Finally, the paper concludes by addressing the issues, challenges, benefits, and future research directions in this domain, underscoring the potential of Ba-SSI solutions to revolutionize the management and empowerment of student data within the education sector. Full article

A key component of the new stochastic approach for discontinuity shear strength (referred to as StADSS) is characterising the roughness of natural rock discontinuities at full scale to mitigate well-known scale effects on shear strength predictions. An investigation was conducted using the software Blender (v4.0) to determine the influence of camera orientation and position on the estimation of the standard deviation of gradients, a parameter used to quantify roughness and to make predictions of discontinuity shear strength. The existing literature has investigated the various distortions of images due to camera position and orientation; however, a comprehensive understanding of their unique influence on error in shear strength prediction is still missing. The investigation revealed that a ground sampling distance of less than 1.36 mm/pixel allows the standard deviation of gradients to be quantified within approximately ±10% relative error to the control data set. Based on investigations into camera orientation relative to the planar control data set, error on the roughness parameter due to perspective distortion was quantified. Recommendations were made to reduce perspective distortions and improve seed trace digitisation errors, including capturing images perpendicular to the seed trace with no rotation and getting as close as possible to the trace during capture to improve ground sampling distance. Lastly, the influence of these different trace digitisation errors on predictions of shear strength obtained using StADSS was investigated. Digitisation errors were found to have a disproportionate influence on shear strength prediction error, especially for rough discontinuities at low normal stress. The investigation highlighted the importance of accurately digitising the standard deviation of gradients to predict discontinuity shear strength. Full article

The synthesis of nanoparticles (NPs) via laser ablation synthesis in solution (LASiS) is a promising method for sustainable and efficient nanoparticle fabrication. This work investigates the transition from one-factor-at-a-time experimentation to a more efficient, multivariate approach for optimising NP production efficiency. By applying the Industry 4.0 principles, the objective is to digitise and automate laboratory processes to increase productivity and robustness. Design of Experiments (DoE) strategies, Taguchi orthogonal arrays and full-factorial design (FFD), have been employed to enhance laser ablation processes. Both models confirmed that increasing laser power led to higher colloid absorbance, with the Taguchi DoE offering rapid initial process mapping and FFD providing a higher-resolution analysis. The optimal laser repetition rate of 30 kHz was identified as a balance between pulse energy and thermal effects on the target, maximising ablation efficiency. The Taguchi model had a prediction of NP size with an R² value of 0.49, while the FFD struggled with accurate size prediction. Additionally, this study introduced a recirculation flow regime as a rapid test platform for predicting optimal conditions for continuous flow production. Using a semi-autonomous DoE platform decreased the operator involvement and increased the process selectivity. This proof-of-concept for on-the-bench NP rapid manufacturing demonstrated how efficient NP synthesis processes can be developed by clarifying the effects of varying parameters on colloid productivity, paving the way for broader industrial applications in the future. Full article

In the rapidly evolving landscape of digital connectivity, airlines have integrated these advancements as indispensable tools for a seamless consumer experience. However, digitisation has increased the scope of risk in the cyber realm. Limited studies have systematically investigated cybersecurity risks in the airline industry. In this context, we propose a novel questionnaire model to investigate consumers’ perceptions regarding the cybersecurity of airlines. Data were collected from 470 Chinese participants in Nanjing City. The analytical approach encompassed a range of statistical techniques, including descriptive statistics, exploratory factor analysis, difference analysis, and correlation. The constructs based on Maddux’s Protective Motivation Theory and Becker’s Health Belief Model were reliable, indicating the suitability of the proposed scales for further research. The results indicate that gender significantly influences passengers’ perceptions of airline cybersecurity, leading to variations in their awareness and response to cybersecurity threats. Additionally, occupation affects passengers’ information protection behaviour and security awareness. On the other hand, factors such as age, education level, and Frequent Flyer Program participation have minimal impact on passengers’ cybersecurity perceptions. Based on questionnaire content and data analysis, we propose three recommendations for airlines to enhance consumer cybersecurity perception. First, airlines should provide personalised network security services tailored to different occupations and genders. Second, they should engage in regular activities to disseminate knowledge and notices related to network security, thereby increasing passengers’ attention to cybersecurity. Third, increased resources should be allocated to cybersecurity to establish a safer cyber environment. This study aims to improve the quality of transportation policy and bridge the gap between theory and practice in addressing cybersecurity risks in the aviation sector. Full article

This research project aims to develop a basin-scaled 3D hydrogeological model by using Petrel E&P (Petrel 2021©) as the basis for a numerical groundwater flow model developed with “ModelMuse”. A relevant aspect of the project is the use of Petrel 2021© geologic modelling tools in the field of applied hydrogeology to improve the details of both hydrogeological and numerical groundwater flow models, and their predictive capabilities. The study area is located in South Sardinia (Campidano Plain), where previous hydrogeological and modelling studies were available. The hydrogeological model was developed by digitising and interpreting the facies in the available borehole logs; a grid was subsequently created, including the main hydrogeological surfaces and performing geostatistical modelling of the facies based on grain size percentages. Afterwards, an empiric formula, achieved from flow tests and laboratory analyses, was applied to the grain size distribution to obtain preliminary hydraulic conductivity values, calibrated during simulations. These simulations, under various groundwater head scenarios, established the boundary conditions and conductivity values needed to determine the hydrogeological balance of the study area. The probabilistic approach has produced a highly detailed model able to adequately represent the natural hydrogeological phenomena and the anthropic stresses in places underground. Full article

In architectural heritage research, rituals and human activities are often overlooked but are crucial for maintaining authenticity and reflecting various cultural values. In the Tibetan-Yi Corridor, one of China’s most renowned heritage routes, rituals and behaviours around the central pillar or fire pit reflect the shared culture and history of Di-Qiang ethnic groups, serving as critical indicators in studying their origins. A scientific method linking physical spaces with intangible cultural information is essential to preserve these rituals or activities and understand their interactions with architectural spaces. This study introduces a method utilising HBIM technology to document and analyse the 3D structures of Di-Qiang ethnic architecture and the rituals. It deconstructs rituals into bodily movements represented within the BIM space to simulate the behaviours of various roles. This method visualises ritual types and critical information by encoding different rituals and movements through geometric shapes, sizes, and colours, effectively linking architectural spaces with intangible cultural elements. The study’s two main contributions are (i) the HBIM archival method for Di-Qiang ethnic architecture, standardising geometric modelling and semantic information recording to digitise Di-Qiang architectural heritage, and forming a foundational 3D model library and semantic database; and (ii) the 3D representation method for ritual movements, which offers a way to manage intangible cultural information and spatially assess cultural behaviours, and evaluates the authenticity and quality of architectural heritage by analysing bodily rituals in space. This approach introduces a novel method for documenting and researching intangible heritage in cultural studies. Additionally, the digital technology-based research method offers a convenient platform for integrating and connecting digital heritage with digital humanities in the future. Full article

In recent years, 3D digitalisation has experienced significant growth, revolutionising the way we capture, process and use geometric data. Initially conceived for industrial applications, these technologies have expanded to multiple fields, offering unprecedented accuracy and versatility. Depending on the accuracy and efficiency to be achieved in a specific field of application, and on the analytical capacity, a specific 3D digitalisation technique or another will be used. This review aims to delve into the application of 3D scanning techniques, according to the implementation sector. The optimal geometry capturing and processing 3D data techniques for a specific case are studied as well as their limitations. Full article

In this paper, the authors present the possibilities of transnational networking and developing innovative cultural routes through participatory research and creative presentations of European cultural heritage in special collections of Adriatic libraries. The purpose of the research, conducted in the framework of the course Travel Writing and Cultural Routes, was to identify collections that contain travel writing material related to the broader Euro-Mediterranean area and to enable its better visibility through the digitization and creation of new European cultural routes. The students, with the help of librarians at the University Library in Pula, explored special collections, such as the Marine Library, and proposed the creation of new cultural routes, following the itineraries of European travel writers in the Adriatic. The conducted research indicated collections and materials in heritage institutions (archives, libraries and museums) in Pula and Istria relevant to the topics of cultural routes and travel in Europe, as well as regional multicultural history. Libraries in Istria and Dalmatia have valuable collections of rare archival material related to European travels to the Adriatic. The cataloguing and digitisation of rare travel texts has the potential to raise awareness of these collections, adding to their significance for academic research and heritage-based tourism. Full article

Industrial fabricators are increasingly digitising the acquisition of measurement data to expedite the quality assurance process and reduce labour costs. The premise of this study is to clarify the fundamentals behind the workflow of projecting images to perform accurate dimensioning during the fabrication process and collection of measurement data during the quality assurance process. This study compares digital devices used to superimpose or measure dimensions during the fabrication and quality assurance steps in the manufacturing process. The physical characteristics of the positioning and measurement technologies are described. Full article

Our article AI, cultural heritage, and bias examines the challenges and potential solutions for using machine learning to interpret and classify human memory and cultural heritage artifacts. We argue that bias is inherent in cultural heritage collections (CHCs) and their digital versions and that AI pipelines may amplify this bias. We hypothesise that effective AI methods require vast, well-annotated datasets with structured metadata, which CHCs often lack due to diverse digitisation practices and limited interconnectivity. This paper discusses the definition of bias in CHCs and other datasets, exploring how it stems from training data and insufficient humanities expertise in generative platforms. We conclude that scholarship, guidelines, and policies on AI and CHCs should address bias as both inherent and augmented by AI technologies. We recommend implementing bias mitigation techniques throughout the process, from collection to curation, to support meaningful curation, embrace diversity, and cater to future heritage audiences. Full article

Studying historical rural landscapes beyond their archaeological and cultural significance, as has typically been addressed in previous research, is important in the context of current environmental challenges. Some historical rural landscapes, such as Roman land divisions, have persisted for more than 2000 years and may still contribute to sustainability goals. To assess this topic, the hydraulic and vegetation network of the centuriation northeast of Padua were studied, emphasising their multiple benefits. Their length, distribution, and evolution over time (2008–2022) were vectorised and measured using available digital terrain models and orthophotographs in a geographic information system (GIS). The results revealed a significant decline in the length of water ditches and hedgerows across almost all examined areas, despite their preservation being highlighted in regional and local spatial planning documents. These findings indicate the need for a better understanding of the local dynamics driving such trends and highlight the importance of adopting a more tailored approach to their planning. This study discusses the GIS metrics utilised and, in this way, contributes to landscape monitoring and restoration actions. Finally, a multifunctional approach to the sustainable planning of this area is proposed here—one that integrates the cultural archaeological heritage in question with environmental preservation and contemporary climate adaptation and mitigation strategies. Full article

Background: Health disparities related to socio-economic factors impact access to preventive health interventions. The PRECEDE–PROCEED model, a multidimensional approach to health promotion, has been adapted to optimise cancer screening programs in Lombardy, Italy, addressing these disparities. Methods: This study evaluated the application of systemic audits based on the PRECEDE–PROCEED model across Lombardy cancer screening programs. A systematic region-wide audit was performed in 2019, and follow-up audits were performed in 2022–2023. Data were collected using structured analysis methodologies, including epidemiological, behavioural, and organisational assessments. Results: The 2019 audit showed strengths in participation and quality standards but identified challenges in cervical cancer screening coverage and waiting times for assessments. Improvements plans included the digitisation of processes and stakeholder engagement. The 2022–2023 audits reported increased coverage for breast and colorectal screenings, but a slight decline in participation rates and examination coverage. Organisational improvements were noted, yet gaps in training and equity-targeted actions remained. Conclusion: The PRECEDE–PROCEED model audits led to notable improvements in the quality and equity of cancer screening programs in Lombardy. Sustained focus on digital integration, continuous re-training, and targeted equity interventions is essential for further progress. Full article

Collaborative Opportunities for Professional Inquiry Leading to Organisational Transformation (COPILOT) represents an Erasmus+ initiative involving four transnational partners from three EU countries including IES Cristobal de Monroy secondary school [Spain], Laois Offaly Education Training Board (LOETB) [Ireland], University College Dublin (UCD) School of Education [Ireland], and Akadimos, a teacher continuing professional development provider [Greece]. The project encompassed three primary objectives, aligned with the Erasmus+ programmes’s emphasis on supporting teachers and school leaders to address digital transformation. These included the following: the identification of participatory approaches and digital methodologies employed by schools to facilitate digital transformation among educators; exploring and establishing dynamic professional environments in schools by identifying synergies with organisations operating in diverse fields or socio-economic contexts and enhancing the capacity and professionalism of partners to engage in EU/international collaboration. To investigate the outcomes of the project objectives, a small-scale qualitative study was conducted, which involved analysing participants’ reports on the project’s collaborative activities. Additionally, a focus group was held at the conclusion of the project to gain insights into the digital readiness, capacity, and resilience of teachers and school leaders within their respective organisations. Thematic analysis was employed to analyse the collected data. The findings of the study offer encouraging indications regarding the crucial symbiotic role played by school leaders and “early adopter” teachers in promoting digital transformation. Moreover, participating teachers displayed a general willingness to adapt their teaching methods to incorporate more technology, provided they receive both formal and informal support. Furthermore, there exists a willingness among transnational partners to digitise and share resources both at present and in the future. Full article

To improve the problem-solving capabilities of students, this study explored using interactive digital teaching materials based on animation and manga. A classroom teaching system was developed based on teaching material using a manga format. Students from a national university and a science and technology university in southern Taiwan were recruited. A questionnaire survey was administered for data collection. A total of 104 valid samples were collected; the data were analysed using SPSS 17.0. Two statistically significant models could be used to predict learning outcomes, and the highest R2 value was 52.5%. The utilisation of interactive multimedia teaching materials based on animation and manga helped students apply knowledge to solve practical problems, cultivating their problem-solving capabilities. The findings differed from previous studies; models developed in this study could be used to determine the effects and relationships of multiple factors. Full article