A context-aware application offering map orientation

Arcos Machancoses, A. (2010). A context-aware application offering map orientation. http://hdl.handle.net/10251/8583.Archivo delegad

Exploring visual representation of sound in computer music software through programming and composition

Presented through contextualisation of the portfolio works are developments of a practice in which the acts of programming and composition are intrinsically connected. This practice-based research (conducted 2009–2013) explores visual representation of sound in computer music software. Towards greater understanding of composing with the software medium, initial questions are taken as stimulus to explore the subject through artistic practice and critical thinking. The project begins by asking: How might the ways in which sound is visually represented influence the choices that are made while those representations are being manipulated and organised as music? Which aspects of sound are represented visually, and how are those aspects shown? Recognising sound as a psychophysical phenomenon, the physical and psychological aspects of aesthetic interest to my work are identified. Technological factors of mediating these aspects for the interactive visual-domain of software are considered, and a techno-aesthetic understanding developed. Through compositional studies of different approaches to the problem of looking at sound in software, on screen, a number of conceptual themes emerge in this work: the idea of software as substance, both as a malleable material (such as in live coding), and in terms of outcome artefacts; the direct mapping between audio data and screen pixels; the use of colour that maintains awareness of its discrete (as opposed to continuous) basis; the need for integrated display of parameter controls with their target data; and the tildegraph concept that began as a conceptual model of a gramophone and which is a spatio-visual sound synthesis technique related to wave terrain synthesis. The spiroid-frequency-space representation is introduced, contextualised, and combined both with those themes and a bespoke geometrical drawing system (named thisis), to create a new modular computer music software environment named sdfsys

Advanced document data extraction techniques to improve supply chain performance

In this thesis, a novel machine learning technique to extract text-based information from scanned images has been developed. This information extraction is performed in the context of scanned invoices and bills used in financial transactions. These financial transactions contain a considerable amount of data that must be extracted, refined, and stored digitally before it can be used for analysis. Converting this data into a digital format is often a time-consuming process. Automation and data optimisation show promise as methods for reducing the time required and the cost of Supply Chain Management (SCM) processes, especially Supplier Invoice Management (SIM), Financial Supply Chain Management (FSCM) and Supply Chain procurement processes. This thesis uses a cross-disciplinary approach involving Computer Science and Operational Management to explore the benefit of automated invoice data extraction in business and its impact on SCM. The study adopts a multimethod approach based on empirical research, surveys, and interviews performed on selected companies.The expert system developed in this thesis focuses on two distinct areas of research: Text/Object Detection and Text Extraction. For Text/Object Detection, the Faster R-CNN model was analysed. While this model yields outstanding results in terms of object detection, it is limited by poor performance when image quality is low. The Generative Adversarial Network (GAN) model is proposed in response to this limitation. The GAN model is a generator network that is implemented with the help of the Faster R-CNN model and a discriminator that relies on PatchGAN. The output of the GAN model is text data with bonding boxes. For text extraction from the bounding box, a novel data extraction framework consisting of various processes including XML processing in case of existing OCR engine, bounding box pre-processing, text clean up, OCR error correction, spell check, type check, pattern-based matching, and finally, a learning mechanism for automatizing future data extraction was designed. Whichever fields the system can extract successfully are provided in key-value format.The efficiency of the proposed system was validated using existing datasets such as SROIE and VATI. Real-time data was validated using invoices that were collected by two companies that provide invoice automation services in various countries. Currently, these scanned invoices are sent to an OCR system such as OmniPage, Tesseract, or ABBYY FRE to extract text blocks and later, a rule-based engine is used to extract relevant data. While the system’s methodology is robust, the companies surveyed were not satisfied with its accuracy. Thus, they sought out new, optimized solutions. To confirm the results, the engines were used to return XML-based files with text and metadata identified. The output XML data was then fed into this new system for information extraction. This system uses the existing OCR engine and a novel, self-adaptive, learning-based OCR engine. This new engine is based on the GAN model for better text identification. Experiments were conducted on various invoice formats to further test and refine its extraction capabilities. For cost optimisation and the analysis of spend classification, additional data were provided by another company in London that holds expertise in reducing their clients' procurement costs. This data was fed into our system to get a deeper level of spend classification and categorisation. This helped the company to reduce its reliance on human effort and allowed for greater efficiency in comparison with the process of performing similar tasks manually using excel sheets and Business Intelligence (BI) tools.The intention behind the development of this novel methodology was twofold. First, to test and develop a novel solution that does not depend on any specific OCR technology. Second, to increase the information extraction accuracy factor over that of existing methodologies. Finally, it evaluates the real-world need for the system and the impact it would have on SCM. This newly developed method is generic and can extract text from any given invoice, making it a valuable tool for optimizing SCM. In addition, the system uses a template-matching approach to ensure the quality of the extracted information

D5.1 SHM digital twin requirements for residential, industrial buildings and bridges

This deliverable presents a report of the needs for structural control on buildings (initial imperfections, deflections at service, stability, rheology) and on bridges (vibrations, modal shapes, deflections, stresses) based on state-of-the-art image-based and sensor-based techniques. To this end, the deliverable identifies and describes strategies that encompass state-of-the-art instrumentation and control for infrastructures (SHM technologies).Objectius de Desenvolupament Sostenible::8 - Treball Decent i Creixement EconòmicObjectius de Desenvolupament Sostenible::9 - Indústria, Innovació i InfraestructuraPreprin

Study on quality in 3D digitisation of tangible cultural heritage: mapping parameters, formats, standards, benchmarks, methodologies and guidelines: final study report.

This study was commissioned by the Commission to help advance 3D digitisation across Europe and thereby to support the objectives of the Recommendation on a common European data space for cultural heritage (C(2021) 7953 final), adopted on 10 November 2021. The Recommendation encourages Member States to set up digital strategies for cultural heritage, which sets clear digitisation and digital preservation goals aiming at higher quality through the use of advanced technologies, notably 3D. The aim of the study is to map the parameters, formats, standards, benchmarks, methodologies and guidelines relating to 3D digitisation of tangible cultural heritage. The overall objective is to further the quality of 3D digitisation projects by enabling cultural heritage professionals, institutions, content-developers, stakeholders and academics to define and produce high-quality digitisation standards for tangible cultural heritage. This unique study identifies key parameters of the digitisation process, estimates the relative complexity and how it is linked to technology, its impact on quality and its various factors. It also identifies standards and formats used for 3D digitisation, including data types, data formats and metadata schemas for 3D structures. Finally, the study forecasts the potential impacts of future technological advances on 3D digitisation

Efficient and robust numerical modelling of masonry

Ph. D. Thesis.Masonry structures constitute a sizeable portion of the built environment, yet the prediction of their structural behaviour remains an extremely complicated task. Despite the advances in structural engineering, safety assessment methods of masonry lag far behind those of modern materials such as steel and reinforced concrete. High-level numerical methods such as the Discrete Element Method (DEM) are the most advanced and effective tools available for modelling the complex structural behaviour of masonry, yet their robustness depends on the accuracy of the geometric and mechanical properties employed. Although abundant work exists for reliably obtaining and representing material properties, methodical strategies lack for the case of geometric properties, which renders such high-level numerical modelling either inefficient or inaccurate. This research develops a methodological framework for the geometrically-accurate and efficient high-level numerical modelling of masonry structures through the employment of non-contact sensing techniques and automation. The framework is holistic, encompassing three stages of structural surveying, geometric model development and structural analysis. The first stage entails structural surveying of the masonry structure with non-contact sensing techniques such as terrestrial laser scanning (TLS) and Structure-from-Motion (SfM) photogrammetry. The second stage encompasses the utilisation of geometrical data (discrete points, orthoimages and point clouds) and computer vision geometric model development. The final stage of the framework consists of numerical model development and structural analysis with the DEM. With the specific numerical method, each block and joint are represented as a distinct entity, achieving a more faithful representation of the discontinuous nature of masonry than other state-of-the-art numerical methods, and thus permitting both the accurate and efficient prediction of the in-service and collapse behaviour the analysed structure. Three main approaches stem from the framework which are implemented on both regular and rubble masonry structures. Firstly, the manual image-based approach is implemented on 25 arch specimens. This approach entails structural analysis of geometric models developed from an orthomosaic of SfM photogrammetry with manual CAD-based block segmentation. By comparing the manual CAD-based geometric models with those of traditional geospatial techniques (i.e. tape measurements), significant differences in: a) collapse load (-1 to 10%); b) stiffness (-2 to 46%); and c) normal forces (-15 to 22%) were found, demonstrating the importance of employing accurate geometric models. Thereafter, the semi-automated image-based approach is implemented on the same 25 arch specimens. Conversely to the previous approach, structural analysis is now semi-automated, incorporating both SfM photogrammetry and image processing techniques (IPTs). By comparing IPT- and manual CAD-based geometric models, a relatively good agreement was found of collapse load, with differences of up to 7%. Stiffnesses, however, showed partial agreement, with differences of up to 7% for 10 specimens and 24% for 15 specimens). These findings, demonstrate both the potential efficiency and robustness of the framework. Finally, the cloud-based approach is implemented on Caerphilly Castle. This entails semi-automated structural analysis, highly irregular of rubble with structures through TLS and voxelization. For a course voxel size of 50 cm, an unprecedented DEM structural analysis of a full-scale masonry tower was achieved in an affordable time of 71 minutes. Therefore, this thesis ultimately paves the way for improving the efficiency and robustness of the structural analysis of masonry structures.Engineering and Physical Sciences Research Council (EPSRC

Desenvolvemento de modelos de información de infraestructuras segundo estándares abertos e parametrización automática a partir de datos xeomáticos.

It seeks to develop procedures that allow generating information models of these structures, created from the relevant information of the point clouds obtained with these systems. For this purpose, the BIM standards for civil engineering structures, both currently available and those that will be published for the duration of the thesis, will be exploited and adopted. Information modeling techniques will be used in these standards, with the aim of obtaining a system that allows modeling the structures automatically. The models will also be made compatible with other methodologies designed for BIM, whose purpose is to take full advantage of the information available for management and maintenance tasks. Meeting these objectives, an automatic modeling system will be developed according to the BIM standards for transport infrastructures, suitable for automatic feeding from geomatic data and remote sensing, which is in turn integrable into management and maintenance systems for these types of structures of civil engineering.Esta tesis busca el desarrollo de metodologías para la exportación de la información geomática de infraestructuras de transporte, particularmente estructuras ferroviarias y carreteras, obtenida mediante tecnologías de mapeado móvil. Se busca desarrollar procedimientos que permitan generar modelos de información de estas estructuras, creados a partir de la información relevante de las nubes de puntos obtenidas con estos sistemas. Con este propósito, se explotarán y adoptarán los estándares BIM para estructuras de ingeniería civil, tanto los actualmente disponibles como aquellos que serán publicados durante la duración de la tesis. Se utilizarán técnicas de modelado de información en estos estándares, con objetivo de obtener un sistema que permita realizar un modelado de las estructuras de manera automática. Se llevará a cabo también la compatibilización los modelos con otras metodologías diseñadas para BIM, cuyo propósito es el aprovechamiento total de la información disponible para tareas de gestión y mantenimiento. Cumpliendo estos objetivos se desarrollará un sistema automático de modelado según los estándares BIM para infraestructuras de transporte, apto para su alimentación automática a partir de datos geomáticos y teledetección, el cual es a su vez integrable en sistemas de gestión y mantenimiento para este tipo de estructuras de ingeniería civil.Esta tese busca o desenvolvemento de metodoloxías para a exportación da información xeomática de infraestruturas de transporte, particularmente estruturas ferroviarias e estradas, obtida mediante tecnoloxías de mapeado móbil. A tese busca o desenvolvemento de procedementos que permitan xerar modelos de información destas estruturas, creados a partir da información relevante das nubes de puntos obtidas con estes sistemas. Con este propósito, se explotarán e adoptarán os estándares BIM para estruturas de enxeñería civil, tanto os actualmente dispoñibles como aqueles que serán publicados durante a duración da tese. Utilizaranse técnicas de modelado de información nestes estándares, con obxectivo de obter un sistema que permita realizar un modelado das estruturas de maneira automática. Levarase a cabo tamén a compatibilización dos modelos con outras metodoloxías diseñadas para BIM, cuxo propósito é o aproveitamento total da información dispoñible para tarefas de xestión e mantemento. Cumplindo estes obxectivos se desenvolverá un sistema automático de modelado segundo os estándares BIM para infraestruturas de transporte, apto para a súa alimentación automática a partir de datos xeomáticos e teledetección, o cal é a súa vez integrable en sistemas de xestión e mantemento para este tipo de estruturas de enxeñería civil