Search Results (31)

Cultural heritage faces accelerating threats from armed conflict and climate-induced disasters, generating emergency scenarios in which the window for documentation may be measured in hours. Traditional high-fidelity workflows such as Terrestrial Laser Scanning and survey-grade Structure-from-Motion campaign can be operationally incompatible with these constraints due to costly hardware and specialist-team requirements. Emergency image acquisition can be undertaken with consumer-grade equipment, while the same photographic dataset can subsequently support both an SfM-MVS mesh for metric and geometric analysis and a 3D Gaussian Splatting (3DGS) representation for view-dependent visual interpretation. This paper evaluates an accessible, entirely graphical workflow for producing these complementary outputs, with particular attention paid to the 3DGS stage and without requiring programming or command-line expertise. We develop a theoretical case drawing on Brandinian restoration theory and the international conservation framework, introducing the concept of informational amnesia, the irreversible loss of a site’s documentary record, as a distinct and undertheorized category of heritage failure. We further argue that the democratization of 3DGS documentation cannot be measured by licensing cost alone: a tool distributed as open-source code but requiring command-line expertise presents an effective accessibility barrier functionally equivalent to a commercial paywall. True accessibility requires installable, graphical software operable by non-specialist practitioners in the field. We present a proof-of-concept application of this accessible pipeline, namely DJI Mini 5 Pro, RealityScan for photogrammetric reconstruction, and Lichtfeld Studio for 3DGS generation, to the Fontana d’Ercole at the Reggia di Venaria Reale (UNESCO World Heritage, Turin, Italy). Visual results show photorealistic, navigable 3DGS surrogates of architecturally complex heritage assets achievable by non-specialist operators within hours of acquisition and establish the empirical foundation for future quantitative evaluation. Full article

Over the last decade, augmented reality (AR) has been widely adopted in architectural education, yet it is still often treated as a visualization add-on rather than as an operative design medium. This paper argues that AR becomes pedagogically meaningful when it is anchored to physical or graphic artefacts so that overlays function not as final images, but as reversible instruments for testing, adjustment, and spatial verification. Building on reflection-in-action as a model of situated design learning, the study examines two teaching experiences: one focused on the AR-based translation of complex two-dimensional graphic fields into three-dimensional hypotheses, and another centred on kinematic reasoning through equilibrium and iterative adjustment. The article proposes that error within AR-based workflows has a double pedagogical role: first, as corrective feedback, when mismatch reveals imprecision, insufficient legibility, or unstable alignment in the target; and second, as generative design feedback, when recalibration and reconfiguration trigger new spatial hypotheses or bidirectional transfers between physical and digital models. Evidence is based primarily on analytic observation of documented episodes and on visual documentation of process transformations, complemented by a background evaluative scaffold and supplementary student feedback where available. Results indicate that AR can (a) increase the material and graphic precision of the supporting artefact; (b) strengthen spatial and kinematic understanding by making intermediate states and inconsistencies visible; and (c) turn mismatch and recalibration into operative parts of the design process itself. The paper therefore reframes AR in architectural education not as a representational endpoint, but as a medium of verification, adjustment, and projective transformation. Full article

This contribution examines the use of ICT in mosaic heritage to enhance the user experience in heritage interpretation. The study focuses on the digital graphic reconstruction of a Roman mosaic featuring animal emblems. As the original mosaic is no longer physically accessible, the reconstruction relied on the systematic collection, comparison, and analysis of diverse visual sources, including archival photographs, historical drawings, and related documentation; photography and drone capture; digital assembly of borders of hand-drawn mosaic elements; and systematic assembly and completion of repetitions in representative mosaic motifs and observational color and design refinement of animal emblems. The article outlines the mosaic’s schematic layout and the key reconstruction steps, resulting in a digital representation developed within the limits imposed by the available evidence. The outcome demonstrates that combining historical research and digital graphics can effectively support the preservation and communication of cultural heritage. Finally, an augmented reality application for interactive presentation of the reconstructed mosaic is introduced, enabling users to explore both the reconstruction process and the interpretive meanings of individual mosaic elements, thereby enhancing engagement and understanding. Full article

The palatial architecture of the Nasrid Alhambra in Granada was organized around courtyards that have been restored or transformed over the centuries. This research analyzes and graphically recreates a wooden gallery that was built in the Patio del Cuarto Dorado (Courtyard of the Golden Room) by the Catholic Monarchs, which disappeared around 1872. The methodology is based on the compilation of documentary sources and graphic analysis as the basis for new manual and digital drawings. Although no archival documentation detailing its construction or demolition has been identified, a large set of historical images (plans, views, and photographs) has been gathered, analyzed, and arranged chronologically. From these, freehand sketches were drawn to understand its construction elements, using other preserved galleries as a reference. Using this graphic documentation and measurements of the current courtyard, scale drawings were made. All of this allowed for the creation of a reconstructed digital model, the digital fabrication of a small-scale model, and the development of new representational graphics using advanced media. In this way, the aim is to understand and introduce the gallery that occupied this courtyard for centuries, offering a new view of the complex transformations of an architectural complex included on the UNESCO World Heritage List. Full article

This paper presents the development and structure of a geospatial (work in progress), architectural heritage database designed to document, interpret, and valorize Second World War military fortifications in Sardinia. Currently hosting over 1800 georeferenced entries—including bunkers, artillery posts, underground shelters, and camouflage systems—the database constitutes the analytical core of an interdisciplinary research framework that interprets these remnants as a coherent wartime palimpsest embedded in the contemporary landscape. By integrating spatial data, archival sources, architectural features, conservation status, camouflage typologies, and both analog and digital graphic representations, the system operates as a central infrastructure for multiscale heritage analysis. It reveals the interconnections between dispersed military structures and the wider territorial fabric, thereby laying the groundwork for landscape-based interpretation and site-specific reactivation strategies. More than a cataloging tool, the database serves as an interpretive and decision-making interface—supporting the generation of cultural itineraries, the identification of critical clusters, and the design of adaptive reuse scenarios. While participatory tools and community engagement will be explored in a second phase, the current methodology emphasizes landscape-oriented reuse strategies based on the perception, spatial storytelling, and contextual reading of wartime heritage. The methodological synergy between GIS, 3D modeling, traditional drawing, and archival research (graphic and photographic documents) contributes to a holistic vision of Sardinia’s wartime heritage as both a system of knowledge and a spatial–cultural resource for future generations. Full article

The graphic replication of architectural examples has long been a prevalent pedagogical method, regardless of educational orientation. The critical reactivity of the mid-20th century, reinforced by ethnographic and anthropological tools, positioned vernacular architecture as a key educational resource—a process widely recognised and extensively studied in Portugal. This article examines the role of fieldwork and surveying techniques in architectural education, extending beyond geometric characterisation to encompass the recognition of technological principles and logics. Through the systematic application of decomposition/composition drawing exercises with first-year students over a decade, this study explores how structured graphical methodologies foster a deeper understanding of buildings, beyond their aesthetics. The findings indicate that perception skills constitute a crucial competence in architectural teaching curricula. The systematisation of hand drawing surveys, applying layering superimposing, is a valuable method to enhance these capacities practically. The results reinforce that early engagement with analytical drawing improves students’ ability to integrate conceptual and technical aspects in design, supporting a progressive transition to digital tools. Additionally, the results highlight the pedagogical value of vernacular studies in promoting adaptive and sustainable design thinking, reinforcing the need for a balanced approach that synthesises traditional and contemporary methodologies in architectural education. Full article

The grand challenge of sustainable development, increased demands for resilient critical infrastructure systems, and cost efficiency calls for thinking and acting “out of the box”. We must strive to search for, identify, and utilize new and emerging technologies and new combinations of existing technologies that have the potential to improve present best practices. In integrity management of, e.g., bridge, offshore, and marine structures, relatively new technologies have shown substantial potentials for improvements that not least concern structural health monitoring (SHM), digital twin (DT)-based structural and mechanical modeling, and risk-based inspection (RBI) and maintenance planning (RBI). The motivation for the present paper is to investigate and document to what extent such technologies in isolation or jointly might have the potential to improve best practices for integrity management of offshore wind turbine structures. In this pursuit, the present paper conducts a comprehensive bibliometric analysis to explore the current landscape of advanced technologies within the offshore wind turbine industry suitable for integrity management. It examines the integration of these technologies into future best practices, taking into account normative factors like risk, resilience, and sustainability. Through this analysis, the study sheds light on current research trends and the degree to which normative considerations influence the application of RBI, SHM, and DT, either individually or in combination. This paper outlines the methodology used in the bibliometric study, including database selection and search term criteria. The results are presented through graphical representations and summarized key findings, offering valuable insights to inform and enhance industry practices. These key findings are condensed into a road map for future research and development, aimed at improving current best practices by defining a series of projects to be undertaken. Full article

This document introduces methods for describing long texts as groups of repeating symbols or patterns. The process converts a series of real-number values into texts. Developed tailored algorithms for identifying repeated sequences in the text are applied to decompose the text into nested tree-like structures of repeating symbols and is called the Nested Repeated Sequence Decomposition Model (NRSDM). The NRSDM is especially valuable for extracting repetitive behaviors in oscillatory but non-periodic and chaotic processes where the classical Fourier transform has limited application. The NRSDM along with the two graphical representations proposed here form a promising tool for characterizing long texts configured to represent the behavior of unidimensional processes. Full article

This paper aims to enhance the Graphical Set-based model (GSB) for ranking and classification tasks by incorporating node and word embeddings. The model integrates a textual graph representation with a set-based model for information retrieval. Initially, each document in a collection is transformed into a graph representation. The proposed enhancement involves augmenting the edges of these graphs with embeddings, which can be pretrained or generated using Word2Vec and GloVe models. Additionally, an alternative aspect of our proposed model consists of the Node2Vec embedding technique, which is applied to a graph created at the collection level through the extension of the set-based model, providing edges based on the graph’s structural information. Core decomposition is utilized as a method for pruning the graph. As a byproduct of our information retrieval model, we explore text classification techniques based on our approach. Node2Vec embeddings are generated by our graphs and are applied in order to represent the different documents in our collections that have undergone various preprocessing methods. We compare the graph-based embeddings with the Doc2Vec and Word2Vec representations to elaborate on whether our approach can be implemented on topic classification problems. For that reason, we then train popular classifiers on the document embeddings obtained from each model. Full article

Introduction and Objectives: The aims of this study were to assess fatigue in port workers; analyze the association between fatigue and levels of trust in organizations, as well as the association between authorities and risk perception; and examine the official documents governing the studied port, along with the current health and communication status of the port workers. Materials and Methods: This was a descriptive and cross-sectional pilot study, which presented quantitative and qualitative data, and it was carried out among port workers in the city of Pelotas, Rio Grande do Sul, Brazil. Thirty-nine port workers responded to quantitative questionnaires, which collected their socio-demographic data, as well as a risk perception questionnaire, the Chalder Fatigue Scale, and the Checklist of Individual Strength. Five documents from the port regiment were studied and qualitatively analyzed. The health communications consisted of presenting infographics with research data and providing information for reducing fatigue. Results: Fifteen workers (38.5%) were considered fatigued. There was a reduction in fatigue associated with trust in the unions and the labor management body, and there was an agreement that the precarious environment was completely unacceptable. The qualitative data in the documents indicated that it was possible to identify the infrastructure of the port environment, the legislation, the strategies to be adopted in cases of natural disasters, emergency plans, plans for the protection and promotion of workers’ health, individual and collective protection plans, the division of the sectors and those responsible for them, and documents detailing the hierarchy within the ports. The qualitative analysis culminated in graphic representations (infographics) created to communicate the research results to port workers, specifically in relation to fatigue, and we presented the ways to prevent fatigue at work. Discussion/Limitations: Studying the risk perceptions and fatigue levels of port workers through research with the active participation of these workers presented their lived experiences, which promoted discussion and perhaps more effective proposals to change their work conditions. Full article

This paper describes the Integration of Archives and Cultural Places (IaCuP) project, which aims to integrate information about a historical cemetery, including its map and grave inventory, with genealogical and documentary knowledge extracted from relevant historical archives. The integrated data are accessible to cemetery visitors through an interactive mobile application, enabling them to navigate a graphical representation of the cemetery while exploring comprehensive visualizations of genealogical data. The basic idea stems from the desire to provide people with access to the rich context of cultural sites, which have often lost their original references over the centuries, making it challenging for individuals today to interpret the meanings embedded within them. The proposed approach leverages large language models (LLMs) to extract information from relevant documents and Web technologies to represent such information as interactive visualizations. As a practical case study, this paper focuses on the Jewish Cemetery in Pisa and the Historical Archives of the Jewish Community in Pisa, working on the genealogical tree of one of the most representative families resting in the cemetery. Full article

This study aims to comprehensively depict a thematic evaluation within the context of carbon-neutral buildings over this century at variable time phases (2000–2008, 2009–2016, and 2017–2023). The overarching objectives of this study are delineated into three (3) contexts. Firstly, a bibliometric network encompassing influential research documents, authors, prominent journals, organisations, and countries is erected in pertinent fields. Secondly, significant terms are extracted from the scientific literature to exhibit co-occurrence patterns. Finally, an analysis of the evaluative clusters across variable phases was conducted to ascertain their intricate interrelations. The software tool VOSviewer Version 1.6.19 successfully achieves the initial objectives by visualising networks based on co-authorship, citations, co-citations, and bibliographic coupling. The ultimate goal of this research is fully realised through the application of the Science Mapping Analysis Tool (SciMAT), Version 3, which facilitated the evaluation of diverse clusters, phases, and thematic domains. The findings from the initial stages of research conducted on carbon-neutral buildings primarily revolve around energy-savings measures, environmental impacts, and the pursuit of energy-efficient design. As the research progressed into subsequent phases, the scope of inquiry broadened into specific themes, such as (1) optimisation, (2) retrofitting, (3) transitioning, and exploring (4) phase change materials (PCMs). Moreover, the areas of study continued to expand by developing diverse scenarios, algorithms, and digital twin technologies. The graphical representations of the strategic diagrams, evaluation areas, and cluster networks are a valuable resource for practitioners and policymakers, offering valuable insight and understanding of the multifaceted landscape of thematic evaluation in carbon-neutral buildings, thus facilitating further investigations and informed decision making. Full article

The detection of key events and identification of the events’ context have been widely studied to detect key events from large volumes of online news and identify trends in such events. In this paper, we propose a Key News Event Detection and Context Method based on graphic convolving, clustering, and summarizing methods. Our method has three main contributions: (1) We propose the use of position vectors as time-embedding feature representations and concatenate semantic and time-embedding features as node features of the graph to distinguish different nodes of the graph. Additionally, a temporal nonlinear function was constructed using time embedding to objectively describe the effect of time on the degree of association between nodes. (2) We update the graph nodes using a graph convolutional neural network to extract deep semantic information about individual nodes of a high-quality phrase graph, thereby improving the clustering capability of graph-based key event detection. (3) We apply a summary generation algorithm to a subset of news data for each key event. Lastly, we validated the effectiveness of our proposed method by applying it to the 2014 Ebola dataset. The experimental results indicate that our proposed method can effectively detect key events from news documents with high precision and completeness while naturally generating the event context of key events, as compared to EvMine and other existing methods. Full article

Building information modeling (BIM) has traditionally been considered as a tool for the graphical representation of architectural and engineering projects. This technology has become a key instrument for the development of virtual models that simulate the constructive process and facilitate the analysis of the designed solutions to detect incidents linked to traditional bi-dimensional projects. This article focuses on the use of this technology to optimize the design of MEP (mechanical, electrical, plumbing) facilities and architecture by developing virtual BIM models. Therefore, the purpose of this research is to analyze two experiences of complex buildings that have developed a BIM Execution Plan to improve the coordination of all disciplines involved, in order to explore how these real experiences can contribute to the implementation of the use of this technology in the construction industry. The results of the research are divided into two aspects: on the one hand, the improvements that BIM brings to the coordination and optimization of MEP facilities, linked to the typification of design incidents detected to anticipate conflicts between disciplines, facilitate collaborative design between different agents, keep graphic documentation updated and avoid execution problems and additional costs; and on the other hand, the keys to facilitating the extension of the use of this technology in the industry. Therefore, the conclusions of the research point out to the need for improvement in the automation of incident detection and the reduction in design process deadlines, as well as the need to simplify the virtual modeling process to bring it closer to unqualified personnel involved in the workflow and facilitate the implementation of this technology in the construction industry. Full article

This article aims to present the structure and the workflow of a new software DeMa (Decision Support Software and Database for Wellfield Management), to support wellfield managers in their decision-making processes. There is a recognized need to improve the management of groundwater resources, especially with the increased demand for fresh water in arid and semi-arid regions. DeMa differentiates from other available software, by combining data collected for the well’s maintenance, operation, design, installations, and cost data with the collected hydrological field measurements. Additionally, DeMa links the different information and provides an effective graphical representation of the data. We applied the software to the Wadi Al Arab wellfield case study to support wellfield managers in the decision-making process of three typical problems: identification of missing data and information concerning the wells, identification of maintenance needs for a well, and identification of a suitable location for a new well. In the application to the Wadi Al Arab wellfield (Jordan), we collected data and documents from the Yarmouk Water Company (YWC), the Jordan Ministry of Water and Irrigation (MWI), and private drilling companies. The software application highlights the beneficial effects of the digitalization of water resources management by improving data availability and management and achieving data and research-based decisions on the wellfield. Full article