129 research outputs found

    Sensibiliser la population sherbrookoise à la mobilité durable par la réalisation d'un balado : Changer de Voie

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    L’objectif de cet essai est de proposer un outil qui facilite le passage à l’acte des citoyens et citoyennes de la Ville de Sherbrooke sur la mobilité durable. Les transports engendrent beaucoup de gaz à effet de serre et contribuent grandement aux changements climatiques. Cependant, les déplacements sont majoritairement unimodaux, axés sur une utilisation de la voiture individuelle. Ainsi, ce projet vise à proposer une approche novatrice en communication environnementale afin de mobiliser la population. L’aménagement urbain et la perception des individus sur les moyens de déplacement font de la mobilité durable un sujet complexe. Les moyens actuels de communication ne prennent pas en compte les facteurs émotionnels et psychologiques qui influent sur la perception des citoyens et citoyennes. Pour mieux comprendre les individus, un sondage a été réalisé en amont du projet, ce qui a permis de ressortir plusieurs freins et leviers à la mobilité durable. Par la suite, le balado a été enregistré et diffusé auprès de la population sherbrookoise. Cependant, le balado peut être amélioré dans la préparation et la communication. En somme, le projet met en lumière l’urgence d’agir face aux changements climatiques en ciblant spécifiquement les transports et donc favoriser une mobilité durable. Les balados peuvent jouer un rôle prometteur dans la sensibilisation et l’engagement des citoyens. Toutefois, le projet est difficilement mesurable

    Estudi de al viabilitat técnica, econòmica y mediambiental del desenvolupament de parcs eòlics a la regió bàltica de Polonia

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    [ES] En este TFG se propone realizar un estudio de la viabilidad técnica, económica y medioambiental de parques eólicos offshore en el mar báltico, considerando el gran potencial que tiene esta tecnología a lo largo de esta costa, concretamente en la costa polaca. Esta región presenta condiciones más que favorables para la instalación de tecnología offshore. Debido a sus patrones consistentes de viento, proximidad a infraestructuras energéticas preexistentes y aguas relativamente poco profundas, entre otras, hacen única esta costa. Polonia apuesta por la energía eólica como uno de sus pilares para la transición energética. El gobierno estima que para 2040, 18 GW provengan de tecnología offshore eólica, sin embargo expertos estiman que esta cifra podría ser mucho mayor, de 33 GW. Si tal es el caso, Polonia podría establecerse como mayor productor de energía eólica marina europeo, permitiendo, así, afianzar en los próximos años su economía Mediante este TFG se analizan los aspectos económicos, técnicos y regulatorios necesarios para el desarrollo de la energía eólica marina, enfatizando en la continua investigación y mejora. De manera que se pueda llegar a conseguir obtener el mallor potencial energético en esta región, concluyendo que la energía eólica offshore promete significante progreso en términos económicos y técnicos para la región del mar báltico en Polonia.[EN] The aim of this TFG is to study the technical, economic and environmental viability of Offshore Wind Farm Development in Poland's Baltic Region, considering its great potential alongside its coast, specifically the Polish coast. This region presents more than favorable conditions for the installation of offshore technology due to its consistent wind patterns, proximity to existing energy infrastructures and shallow waters, among other, makes this region unique. Offshore wind energy is one of Poland¿s main pillars for energy transition. Polish government believes that by 2040, 18 GW will be provided by wind offshore, nevertheless, some experts believe that its contribution could be far greater, of 33 GW. This would be the lead on european wind offshore energy, thus enabling it to secure its economy. This TFG analyzes the economic, technical and regulatory aspects that are necessary for the development of offshore wind power, highlighting the need to keep investigating and improving this technology in a way that the highest electrical potential could be achieved. Finally, we will conclude that offshore energy is promising in economic and technical aspects for polish baltic region.Gómez Balado, A. (2023). Estudy of the technical, economical and environmental viability of Offshore Wind Farm Development in Poland's Baltic Region. Universitat Politècnica de València. https://riunet.upv.es/handle/10251/204008TFG

    Two Catechol Siderophores, Acinetobactin and Amonabactin, Are Simultaneously Produced by Aeromonas salmonicida subsp. salmonicida Sharing Part of the Biosynthetic Pathway

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    The iron uptake mechanisms based on siderophore synthesis used by the fish pathogen Aeromonas salmonicida subsp. salmonicida are still not completely understood, and the precise structure of the siderophore(s) is unknown. The analysis of genome sequences revealed that this bacterium possesses two gene clusters putatively involved in the synthesis of siderophores. One cluster is a candidate to encode the synthesis of acinetobactin, the siderophore of the human pathogen Acinetobacter baumannii, while the second cluster shows high similarity to the genes encoding amonabactin synthesis in Aeromonas hydrophila. Using a combination of genomic analysis, mutagenesis, biological assays, chemical purification, and structural determination procedures, here we demonstrate that most A. salmonicida subsp. salmonicida strains produce simultaneously the two siderophores, acinetobactin and amonabactin. Interestingly, the synthesis of both siderophores relies on a single copy of the genes encoding the synthesis of the catechol moiety (2,3-dihydroxybenzoic acid) and on one encoding a phosphopantetheinyl transferase. These genes are present only in the amonabactin cluster, and a single mutation in any of them abolishes production of both siderophores. We could also demonstrate that some strains, isolated from fish raised in seawater, produce only acinetobactin since they present a deletion in the amonabactin biosynthesis gene amoG. Our study represents the first evidence of simultaneous production of acinetobactin and amonabactin by a bacterial pathogen and reveals the plasticity of bacterial genomes and biosynthetic pathways. The fact that the same siderophore is produced by unrelated pathogens highlights the importance of these systems and their interchangeability between different bacteria.Fil: Balado, Miguel. Universidad de Santiago de Compostela; EspañaFil: Souto, Alba. Universidad da Coruña; EspañaFil: Vences, Ana. Universidad de Santiago de Compostela; EspañaFil: Careaga Quiroga, Valeria Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad da Coruña; EspañaFil: Valderrama, Katherine. Universidad da Coruña; EspañaFil: Segade, Yuri. Universidad da Coruña; EspañaFil: Rodríguez, Jaime. Universidad da Coruña; EspañaFil: Osorio, Carlos R.. Universidad de Santiago de Compostela; EspañaFil: Jiménez, Carlos. Universidad da Coruña; EspañaFil: Lemos, Manuel L.. Universidad de Santiago de Compostela; Españ

    Pharmaceutical compounding and drug repositioning from hospital pharmacy in situations of therapeutic gap

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    This doctoral thesis focuses on offering therapeutic alternatives through pharmaceutical compounding and drug repositioning from the hospital pharmacy to cover therapeutic gaps. An ophthalmic compounded formulation of cysteamine in hyaluronic acid packaged in novel single-dose containers was developed for the treatment of ocular cystinosis. On the other hand, an inhaled compounded formulation of ethanol was developed for the treatment of SARS-CoV-2 infection, and subsequently studied for efficacy and safety in the phase II clinical trial ALCOVID-19. In both cases, appropriate galenic development and characterisation has been performed in conjunction with preclinical pharmacokinetic studies prior to appropriate translation into clinical practice

    Dynamic Objects Detection and Removal in Mobile Laser Scanning Data

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    Many MLS point cloud application scenarios, such as navigation and localization algorithms, require only static environments, but the original MLS data usually inevitably includes many dynamic objects such as moving vehicles, bicycles, and pedestrians. Therefore, these dynamic objects need to be removed before using MLS point clouds. This thesis designs an efficient and memory-friendly Octomap-based dynamic object detection and removal method for MLS data. Firstly, the original MLS data is split into multiple data frames based on the timestamp of each capture point. Each data frame is inserted into a separate Octomap along with its neighboring data frames. The free points in all Octomaps are extracted by setting an occupancy probability threshold. Second, the region of interest (ROI) related to the dynamic object is delineated by the MLS sensor mounting height and the local large vehicle height limit. Only the free points located within the ROI are retained. Then the free-point rate and the multi-return rate are calculated for each free point using a fixed radius spatial search to denoise and detect vegetation points. Finally, the KNN spatial search is used to remove vegetation points and extract dynamic objects from the free points. The proposed method is tested in four case sites in Delft, the Netherlands and its producer’s and user’s weighted average dynamic object detection and extraction accuracies are 88.004% and 82.624%, respectively. The weighted average overall accuracy is 99.833%. Compared with the original Octomap, the proposed method is 35.472% more efficient on average and can be further accelerated by parallel computing, with a maximum memory consumption of only 42.437% of the original Octomap. The implementation results and accuracy assessment demonstrate that the proposed method can be effectively applied to dynamic object detection and extraction tasks in MLS data sets in a compute-friendly and memory-friendly way.Geomatic

    Proyecto Apertura de una Unidad de Fractura Ósea por Fragilidad (FLS) en el H. De la Plana.

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    Treball Final de Grau en Medicina. Codi: MD1158. Curs acadèmic: 2018/2019.Introduction: ostheoporosis (OP) is a chronic disease characterized by alterations of the bone tissue. These changes in the bone produce a decrease in the resistance and increase the risk of fragility fractures that entail a serious social, clinical and economical problem. Objective: project to open a fracture liaison service (FLS) at the Hospital de La Plana. Methods: we have made an analysis and synthesis of the most up-to-date scientific evidence (using the levels of evidence from the SIGN and critical reading CASPe) and the formulation of recommendations based on these evidence and consensus techniques. Elaboration process: development of the FLS protocol of the Hospital de La Plana with the identification and evaluation of fractured patients as well as the application of a treatment, education and favoring the link between the FLS and primary care to the follow-up of the patients. Conclusion: improve the quality of life of the patients in the La Plana area decreasing the number of fractures through the FLS.Introducción: la osteoporosis (OP) es una enfermedad crónica caracterizada por alteraciones del tejido óseo. Estos cambios en el hueso implican una disminución de la resistencia e incremento de fracturas por fragilidad ósea que conllevan un grave problema de interés clínico, social y económico. Objetivo: proyecto de apertura de una unidad de fractura ósea por fragilidad (FLS) en el Hospital de La Plana. Métodos: se ha realizado un análisis y síntesis de la evidencia científica más actualizada (utilizando los niveles de evidencia del SIGN y lectura crítica CASPe) y formulación de recomendaciones a partir de estas evidencia y técnicas de consenso. Resultados: desarrollo del protocolo de la FLS del Hospital de La Plana con la identificación, evaluación de los pacientes fracturados así como la aplicación de un tratamiento, educación y favorecer el enlace entre la FLS y atención primaria (AP) en el seguimiento de los pacientes. Conclusión: aumentar la calidad de vida de los pacientes del Área de La Plana disminuyendo el número de fracturas a través de la FLS. Palabras clave: fracturas por fragilidad, prevención secundaria, osteoporosis, unidad de fractura por fragilidad

    Permutation Codes and Steganography

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    38th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, May, 2013We show that Slepian’s Variant I permutation codes implement first-order perfect steganography (i.e., histogram-preserving steganography). We give theoretical expressions for the embedding distortion, embedding rate and embedding efficiency of permutation codes in steganography, which demonstrate that these codes conform to prior analyses of the properties of capacity-achieving perfect stegosystems with a passive warden. We also propose a modification of adaptive arithmetic coding that near optimally implements permutation coding with a low complexity, confirming all our theoretical predictions. Finally we discuss how to control the embedding distortion. Permutation coding turns out to be akin to Sallee’s model-based steganography, and to supersede both this method and LSB matching.SFI Research FrontiersPossibly to be published by IEEE - if not published, remove IEEE details - OR 10/06/2013TS 14.06.1

    SCIPoC: Semantic Classification of Indoor Point Cloud: A study into the possibilities of classifying indoor point cloud using a Deep Learning approach

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    With the constantly evolving range of applications for technology the quality and amount of data constantly increases as well. In this growing data environment, there is a constant search to provide more value to all data that is available for as little effort as possible. Our research tries to add such additional value by diving into the concept of classifying point cloud by using deep learning, specifically in the indoor environment. This is done by first doing a neural network comparison and then doing a case study. In the neural network comparison, a look is taken into which of the neural networks that are capable of working with point clouds is best suited for our experiments in the indoor scene, based on the training speed, accuracy, ease of use concerning training on external datasets and setting up the network and space efficiency. After the comparison, we chose to continue with the PointCNN network during the case study. The case study is performed on data the NS (Nederlandse Spoorwegen) provided to us and all test results we got from our experiments can be visualized using the web application we developed along with this project. The purpose of the case study is to add extra value to the indoor LiDAR point cloud the NS has captured from Amersfoort Station by using deep learning to automatically classify assets present in their data. The value is in purposes, such as asset management, where the data does not need possibly hundreds of man-hours to be labelled. This saves a lot of time and also money each time a scan is made. In the case study we found through 4 different experiments that unbalanced data makes for bad results, but when a scene is labelled correctly very good results can be found in a local scene.Synthesis Project 2020Geomatic

    Point-based morphological opening with input data retrieval

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    Mathematical morphology is a technique recently applied directly for point cloud data. Its working principle is based on the removal and addition of points from an auxiliary point cloud that acts as a structuring element. However, in certain applications within a more complex process, these changes to the original data represent an unacceptable loss of information. The aim of this work is to provide a modification of the morphological opening to retain original points and attributes. The proposed amendment involved in the morphological opening: erosion followed by dilatation. In morphological erosion, the new eroded points are retained. In morphological dilation, the structuring element does not add its points directly, but uses the point positions to search through the previously eroded points and retrieve them for the dilated point cloud. The modification was tested on synthetic and real data, showing a correct performance at the morphological level, and preserving the precision of the original points and their attributes. Furthermore, the conservation is shown to be very relevant in two possible applications such as traffic sign segmentation and occluded edge detection. GIS Technologi

    Realistic correction of sky-coloured points in Mobile Laser Scanning point clouds

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    The enrichment of the point clouds with colour images improves the visualisation of the data as well as the segmentation and recognition processes. Coloured point clouds are becoming increasingly common, however, the colour they display is not always as expected. Errors in the colouring of point clouds acquired with Mobile Laser Scanning are due to perspective in the camera image, different resolution or poor calibration between the LiDAR sensor and the image sensor. The consequences of these errors are noticeable in elements captured in images, but not in point clouds, such as the sky. This paper focuses on the correction of the sky-coloured points, without resorting to the images that were initially used to colour the whole point cloud. The proposed method consists of three stages. First the region of interest where the erroneously coloured points are accumulated, is selected. Second, the sky-coloured points are detected by calculating the colour distance in the Lab colour space to a sample of the sky-colour. And third, the colour of the sky-coloured detected points is restored from the colour of the nearby points. The method is tested in ten real case studies with their corresponding point clouds from urban and rural areas. In two case studies, sky-coloured points were assigned manually and the remaining eight case studies, the sky-coloured points are derived from the acquisition errors. The algorithm for sky-coloured points detection obtained an average F1-score of 94.7%. The results show a correct reassignment of colour, texture, and patterns, while improving the point cloud visualisation.GIS Technologi
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