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Статті в журналах з теми "Drone marin"
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Shah, Kunal, Annie Schmidt, Grant Ballard, and Mac Schwager. "Large Scale Aerial Multi-Robot Coverage Path Planning." Field Robotics 2, no. 1 (March 10, 2022): 1971–98. http://dx.doi.org/10.55417/fr.2022064.
Повний текст джерелаАнотація:
Autonomous survey and aerial photogrammetry applications require solving a path planning problem that ensures sensor coverage over a specified area. In this work, we provide a multi-robot path planning method that can obtain this coverage over an arbitrary area of interest. We extend our previous method, path optimization for population counting with overhead robotic networks (POPCORN), by a divide-and-conquer scheme, split and link tiles (SALT), which drastically decreases the time needed for route planning. These POPCORN instances can be computed in parallel and combined with SALT in a scalable manner to produce coverage paths over very large areas of interest. To demonstrate this algorithm’s capabilities, we implemented our planning algorithm with a team of drones to conduct multiple photographic aerial wildlife surveys of the Cape Crozier Adélie penguin rookery on Ross Island, Antarctica, one of the largest Adélie penguin colonies in the world. The colony, which contains over 300,000 nesting pairs and spans over 2 km, was surveyed in about 3 hours. In contrast, previous human-piloted single-drone surveys of the same colony required over 2 days to complete. We also have deployed our survey system at several islets at Mono Lake, California, to survey a California gull colony as well as at a 2000-acre ranch in Marin, California. We provide this survey path planning tool as an open-source software package named wadl.
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Raoult, Vincent, Andrew P. Colefax, Blake M. Allan, Daniele Cagnazzi, Nataly Castelblanco-Martínez, Daniel Ierodiaconou, David W. Johnston, et al. "Operational Protocols for the Use of Drones in Marine Animal Research." Drones 4, no. 4 (September 25, 2020): 64. http://dx.doi.org/10.3390/drones4040064.
Повний текст джерелаАнотація:
The use of drones to study marine animals shows promise for the examination of numerous aspects of their ecology, behaviour, health and movement patterns. However, the responses of some marine phyla to the presence of drones varies broadly, as do the general operational protocols used to study them. Inconsistent methodological approaches could lead to difficulties comparing studies and can call into question the repeatability of research. This review draws on current literature and researchers with a wealth of practical experience to outline the idiosyncrasies of studying various marine taxa with drones. We also outline current best practice for drone operation in marine environments based on the literature and our practical experience in the field. The protocols outlined herein will be of use to researchers interested in incorporating drones as a tool into their research on marine animals and will help form consistent approaches for drone-based studies in the future.
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Kelaher, Brendan P., Victor M. Peddemors, Brent Hoade, Andrew P. Colefax, and Paul A. Butcher. "Comparison of sampling precision for nearshore marine wildlife using unmanned and manned aerial surveys." Journal of Unmanned Vehicle Systems 8, no. 1 (March 1, 2020): 30–43. http://dx.doi.org/10.1139/juvs-2018-0023.
Повний текст джерелаАнотація:
Aerial surveys of large marine wildlife in nearshore areas can support management actions to ensure conservation of this megafauna. While most aerial surveys of marine wildlife have been carried out using manned aircraft, unmanned aerial systems (commonly known as drones) are being increasingly used. Here, we compare the relative accuracy and precision of marine wildlife surveys from a multirotor drone and a manned helicopter for the first time. At two locations on the east coast of Australia, we simultaneously surveyed sharks (including white sharks, Carcharodon carcharias), dolphins, rays, and sea turtles in nearshore coastal areas using a multirotor drone (DJI Inspire I) and a helicopter (Robinson 44 Clipper II) over 26 separate flights. Sampling included the real-time quantification of marine wildlife by an observer in the helicopter and the pilot of the drone. The video feed from the drone was then later re-sampled in the laboratory. Of the three methods, post-hoc analysis of drone video footage is likely to provide the most accurate and precise estimates of marine wildlife in nearshore areas. When real-time data are required (e.g., for shark-risk mitigation), manned helicopters (over larger stretches of coast) and drones (across localised beaches) will both be useful.
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Pham, Duc-Anh, and Seung-Hun Han. "Design of Combined Neural Network and Fuzzy Logic Controller for Marine Rescue Drone Trajectory-Tracking." Journal of Marine Science and Engineering 10, no. 11 (November 10, 2022): 1716. http://dx.doi.org/10.3390/jmse10111716.
Повний текст джерелаАнотація:
In recent years, the research on drones has increased rapidly because of its high applicability in many fields and its great development potential. In the maritime sector too, especially marine rescue, a Drone with a compact size and fast flight speed is an effective solution in search and surveillance, giving quick results and being very convenient. When operating at sea, marine rescue drones are often affected by the environment, especially wind, which leads to turbulence that causes the drone to deviate from its predetermined flight trajectory. To overcome the above problem, the author has proposed the application of a Neural-Fuzzy controller for unmanned marine rescue aircraft presented in this paper introduces a controller that combines neural networks and fuzzy controllers that enhance the efficiency of the drone’s trajectory tracking. The paper presents the mathematics of a quadcopter described by the Newton-Euler equations. Presentation on stable flight control and trajectory control of marine rescue drones. In this paper, Matlab/Simulink is used to describe the operation of the Drone, and the characteristics obtained after using the simulation are used to compare, test, and analyze the system. The obtained results show that the Neural-Fuzzy controller is much more sensitive, more resistant to turbulence, and can be used on different sizes, weights, and configurations of drones without adjusting PID gain.
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Joyce, K. E., S. Duce, S. M. Leahy, J. Leon, and S. W. Maier. "Principles and practice of acquiring drone-based image data in marine environments." Marine and Freshwater Research 70, no. 7 (2019): 952. http://dx.doi.org/10.1071/mf17380.
Повний текст джерелаАнотація:
With almost limitless applications across marine and freshwater environments, the number of people using, and wanting to use, remotely piloted aircraft systems (or drones) is increasing exponentially. However, successfully using drones for data collection and mapping is often preceded by hours of researching drone capabilities and functionality followed by numerous limited-success flights as users tailor their approach to data collection through trial and error. Working over water can be particularly complex and the published research using drones rarely documents the methodology and practical information in sufficient detail to allow others, with little remote pilot experience, to replicate them or to learn from their mistakes. This can be frustrating and expensive, particularly when working in remote locations where the window of access is small. The aim of this paper is to provide a practical guide to drone-based data acquisition considerations. We hope to minimise the amount of trial and error required to obtain high-quality, map-ready data by outlining the principles and practice of data collection using drones, particularly in marine and freshwater environments. Importantly, our recommendations are grounded in remote sensing and photogrammetry theory so that the data collected are appropriate for making measurements and conducting quantitative data analysis.
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Mocanu, Vlad. "Charging floating bases for marine unmanned aerial drone." Scientific Bulletin of Naval Academy XXIII, no. 1 (July 15, 2020): 116–21. http://dx.doi.org/10.21279/1454-864x-20-i1-015.
Повний текст джерелаАнотація:
In this paper, the authors present new ways of using drones in the marine and offshore environments. The article includes the presentation of the main constructive electrical elements of a marine floating buoy, which play the role of charging base for an unmanned aerial drone. Also, are highlighted the main losses of the system’s components, what should have been taken into account when choosing the size of such an independent energy source, as well as the main steps for energy source design.
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Barreto, Jonathas, Luciano Cajaíba, João Batista Teixeira, Lorena Nascimento, Amanda Giacomo, Nelson Barcelos, Ticiana Fettermann, and Agnaldo Martins. "Drone-Monitoring: Improving the Detectability of Threatened Marine Megafauna." Drones 5, no. 1 (February 20, 2021): 14. http://dx.doi.org/10.3390/drones5010014.
Повний текст джерелаАнотація:
Unmanned aerial vehicles (UAVs; or drones) are an emerging tool to provide a safer, cheaper, and quieter alternative to traditional methods of studying marine megafauna in a natural environment. The UFES Nectology Laboratory team developed a drone-monitoring to assess the impacts on megafauna related to the Fundão dam mining tailings disaster in the Southeast Brazilian coast. We have developed a systematic pattern to optimize the available resources by covering the largest possible area. The fauna observer can monitor the environment from a privileged angle with virtual reality and subsequently analyzes each video captured in 4k, allowing to deepening behavioral ecology knowledge. Applying the drone-monitoring method, we have observed an increasing detectability by adjusting the camera angle, height, orientation, and speed of the UAV; which saved time and resources for monitoring turtles, sea birds, large fish, and especially small cetaceans efficiently and comparably.
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Jeon, I., S. Ham, J. Cheon, A. M. Klimkowska, H. Kim, K. Choi, and I. Lee. "A REAL-TIME DRONE MAPPING PLATFORM FOR MARINE SURVEILLANCE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 4, 2019): 385–91. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-385-2019.
Повний текст джерелаАнотація:
<p><strong>Abstract.</strong> Marine incidents have caused serious casualties and damaged on property, and situational awareness and actions are needed to reduce further extensive damage for marine surveillance. The importance of an attempt for maritime monitoring using UAV has been raised, and a platform should be prepared to respond immediately to urgent situations. In this research, a real-time drone image mapping platform is proposed for marine surveillance that receives marine images acquired and transmitted by drones and processes them in real time. The platform proposed in this study is divided into 1) UAV System, 2) Real-time image processing, 3) Visualization. UAV system transfers data from a drone to the ground stations. Real-time image processing module generates individual orthophotos followed by directly georeferencing in real time and detecting ships on the orthophotos. Visualization module enables to visualize the orthophotos. The overall mapping time of 3.26 seconds on average was verified for processing image mapping, and ship detection time for a single image was estimated to be within about 1 second, which corresponds to an environment in which an emergency must be handled. In conclusion, a real-time drone mapping platform that is introduced in this study can be evaluated as being available for maritime monitoring that requires swift responses.</p>
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Iqbal, Naveed, Rafia Mumtaz, Uferah Shafi, and Syed Mohammad Hassan Zaidi. "Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms." PeerJ Computer Science 7 (May 19, 2021): e536. http://dx.doi.org/10.7717/peerj-cs.536.
Повний текст джерелаАнотація:
Crop classification in early phenological stages has been a difficult task due to spectrum similarity of different crops. For this purpose, low altitude platforms such as drones have great potential to provide high resolution optical imagery where Machine Learning (ML) applied to classify different types of crops. In this research work, crop classification is performed at different phenological stages using optical images which are obtained from drone. For this purpose, gray level co-occurrence matrix (GLCM) based features are extracted from underlying gray scale images collected by the drone. To classify the different types of crops, different ML algorithms including Random Forest (RF), Naive Bayes (NB), Neural Network (NN) and Support Vector Machine (SVM) are applied. The results showed that the ML algorithms performed much better on GLCM features as compared to gray scale images with a margin of 13.65% in overall accuracy.
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Burke, McWhirter, Veitch-Michaelis, McAree, Pointon, Wich, and Longmore. "Requirements and Limitations of Thermal Drones for Effective Search and Rescue in Marine and Coastal Areas." Drones 3, no. 4 (October 14, 2019): 78. http://dx.doi.org/10.3390/drones3040078.
Повний текст джерелаАнотація:
Search and rescue (SAR) is a vital line of defense against unnecessary loss of life. However,in a potentially hazardous environment, it is important to balance the risks associated with SARaction. Drones have the potential to help with the efficiency, success rate and safety of SAR operationsas they can cover large or hard to access areas quickly. The addition of thermal cameras to the dronesprovides the potential for automated and reliable detection of people in need of rescue. We performeda pilot study with a thermal-equipped drone for SAR applications in Morecambe Bay. In a varietyof realistic SAR scenarios, we found that we could detect humans who would be in need of rescue,both by the naked eye and by a simple automated method. We explore the current advantages andlimitations of thermal drone systems, and outline the future path to a useful system for deploymentin real-life SAR.
Дисертації з теми "Drone marin"
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Tranchant, Yann-Treden. "Vers une meilleure exploitation de l’altimétrie côtière : apports combinés de la modélisation hydrodynamique à haute-résolution et des nouvelles techniques de cartographie du niveau marin par GNSS." Thesis, La Rochelle, 2022. http://www.theses.fr/2022LAROS014.
Повний текст джерелаАнотація:
La mesure du niveau de la mer par satellite a atteint un niveau sans précédent en termes de précision et de couverture spatio-temporelle. Ces observations nous ont permis d'améliorer notre compréhension de la dynamique à grande échelle des océans, mais leur exploitation reste un défi à l’approche de la côte, où les incertitudes liées à la marée océanique et aux fines échelles du géoïde sont plus importantes. L’objectif de cette thèse est de développer de nouvelles méthodologies s’appuyant sur les mesures mobiles du niveau de la mer par GNSS et la modélisation hydrodynamique afin de mieux exploiter les mesures altimétriques côtière et de préparer l’arrivée des futures missions. Lors d’une campagne menée avec le drone marin PAMELi en Juillet 2020 dans les Pertuis Charentais, une cartographie du niveau marin est réalisée le long d’un itinéraire préprogrammé. Cette cartographie est exploitée afin d’évaluer un modèle de marée sous une trace altimétrique, et démontrer le potentiel d’un drone pour étendre spatialement nos capacités de validation. Par la suite, on estime les pentes de géoïde dans la zone à partir du même jeu de données, en combinant mesures in-situ et modèle hydrodynamique. On montre que la modélisation des gradients de topographie dynamique permet d’améliorer la précision de la cartographie des pentes de géoïde. Ces deux études exploitent une méthodologie basée sur les différences aux points de croisement, et offrent des perspectives sur l'utilisation des drones marins dans le contexte de la future mission SWOT. Enfin, on présente une méthode de prédiction du trait de côte basée sur l’utilisation d’un MNT et du modèle hydrodynamique, appliquée aux passage Sentinel-3A afin d’évaluer l’impact des bancs découvrant sur la mesure altimétrique. Dans leur ensemble, ces travaux constituent un socle méthodologique qui permettra de mieux comprendre et utiliser les mesures altimétriques dans les environnements côtiers, et préparer l’arrivée de la future mission SWOTSatellite altimetry has recently reached an unprecedented level of accuracy and coverage. Although altimeters were originally designed to observe the oceans and have improved our understanding of their large-scale dynamics, the exploitation in coastal areas remains a challenge. One of the challenges of coastal altimetry remains the lack of precision in geophysical corrections, which are essential to compute accurate sea level anomalies near the coast. The main objective of this thesis is to develop new methodologies based on mobile sea level GNSS measurements and hydrodynamic modelling in order to better exploit altimetry measurements in coastal environments and to prepare the arrival of future missions. During a campaign carried out with the PAMELi marine drone in July 2020 in the Pertuis Charentais, a sea-level cartography was carried out along a pre-programmed route. In a first study, this cartography is used to assess a tidal model under an altimetric pass, and thus demonstrate the potential of a drone to extend spatially our validation capabilities. Then, the same dataset is used to estimate the geoid slopes in the region, by combining in-situ measurements and the hydrodynamic model. We show that the use of our model to correct the dynamic topography gradients improves drastically the coherence and the accuracy of geoid slopes. These two studies exploit a methodology based on crossover height differences, and offer perspectives on the use of autonomous platforms in the context of the future SWOT mission. In a last chapter, a coastline prediction method based on the use of a DEM and the hydrodynamic model is presented, and applied to Sentinel-3A passages in order to evaluate the impact of intertidal areas on altimeter measurements. This overall thesis work provides methodological insights for a better understanding and exploitation of altimetry measurements in coastal environments, and will help to prepare the scientific exploitation of the future SWOT mission
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Boëly, Nicolas. "Modélisation non linéaire et contrôle linéaire par retour entrée-sortie linéarisant d'un drone sous-marin quadri hélices à poussée vectorielle." Mémoire, École de technologie supérieure, 2010. http://espace.etsmtl.ca/298/1/BO%C3%8BLY_Nicolas.pdf.
Повний текст джерелаАнотація:
Le sujet de ce mémoire porte sur la recherche de la modélisation des drones sous-marins qui
concernent les interactions hydrodynamiques, les forces de pesanteur et d’Archimède ainsi
que les forces de propulsion.
La précision du comportement d’un drone sous-marin en simulation numérique dépend de
son degré de modélisation. Ce mémoire fonde une modélisation non linéaire (six degrés de
liberté) de l’engin afin de conserver les interactions entre les modes longitudinaux et les
modes latéraux.
Les applications de cette modélisation sont doubles. Premièrement, elle permet de mieux
comprendre le comportement et l’attitude des véhicules immergés. La seconde application
permet de mieux contrôler le drone dans des buts de furtivité ou d’économie d’énergie.
On présente ici la formulation par étape d’une modélisation non linéaire globale du drone
quadri hélices à poussée vectorielle, en expliquant les relations étroites entre les choix
architecturaux et les impacts de modélisation.
Des correcteurs Proportionnel Intégral Dérivé sont implémentés à l’aide d’un retour entréesortie
linéarisant afin de tester la maniabilité et les capacités du drone en espace restreint.
Une étude de robustesse aux bruits de mesure et les contrôles internes de chaque actionneur
et chaque moteur permettent de déterminer les limites de cette étude et les recommandations
des travaux futurs.
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Muro, Israel. "DRONC and DIAP1 interactions in Drosophila apoptosis /." Search for this dissertation online, 2004. http://wwwlib.umi.com/cr/ksu/main.
Повний текст джерела
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Capra, Veronica. "Mappatura della popolazione di Pinna nobilis con drone nella zona centro-meridionale della laguna di Venezia." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23073/.
Повний текст джерелаАнотація:
L’elaborato si concentra sullo studio di una popolazione di Pinna nobilis nella zona centro-meridionale della Laguna di Venezia, in un’area adiacente all’isola di Pellestrina (Italia).
Pinna nobilis (Linneaus 1758) è il più grande mollusco bivalve endemico del Mediterraneo, presente già a partire dalla fine del Miocene. Pinna nobilis, specie protetta dalla Direttiva Habitat (92/43/CEE), recentemente è stata inserita anche nella lista rossa IUNC a causa di eventi di mortalità di massa verificati lungo le coste del Mediterraneo a causa di un agente patogeno.
Da 10-15 anni a questa parte si è osservata una ricolonizzazione in laguna di Venezia.
In questo studio sono impiegate immagini da rilievo UAV per mappare la popolazione di Pinna nobilis e stimare la densità di copertura delle fanerogame marine, la cui presenza è un elemento importante per la stabilità del sedimento di fondo delle lagune. Oltre a indagini direttamente sul campo sono state svolte analisi di laboratorio sui campioni prelevati dall’area di studio in riferimento al contenuto di carbonio organico e alla granulometria dei sedimenti raccolti. Sono stati presi in considerazione 18 anni di dati della sonda multiparametrica Ve3 (Rete SAMANET) di proprietà del Provveditorato Interregionale alle Opere pubbliche del Veneto–Trentino Alto Adige–Friuli Venezia Giulia che consentono di esplorare i diversi fattori ambientali che possono aver influenzato la crescita e la salute di Pinna nobilis nell’area di studio. I risultati mostrano che la popolazione di Pinna nobilis si trova in stretta correlazione con la copertura di fanerogame marine, infatti in aree senza copertura anche il bivalve è assente. In merito ai diversi fattori ambientali indagati, in particolar modo la torbidità, presenta una diminuzione a partire dagli anni 2008/2009 rispetto ai precedenti. I sedimenti analizzati presentano una scarsa percentuale di carbonio organico ma sono caratterizzati dalla frazione sabbiosa (>63μm) superiore all’80%.
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Jaud, Marion. "Techniques d'observation et de mesure haute résolution des transferts sédimentaires dans la frange littorale." Phd thesis, Université de Bretagne occidentale - Brest, 2011. http://tel.archives-ouvertes.fr/tel-00650953.
Повний текст джерелаАнотація:
Dans un contexte d'anthropisation croissante de la frange littorale, et d'intensification des risques côtiers, la mise en œuvre de politiques de Gestion Intégrée des Zones Côtières (GIZC) s'impose. Cette gestion se concrétise notamment par un suivi de l'évolution littorale, nécessitant des techniques adaptées à ce type d'environnement et permettant de mesurer les variations morphologiques mais également de mieux comprendre les processus mis en jeu. Cette thèse s'inscrit dans la problématique de développement de méthodes d'observation et de quantification de l'évolution morphodynamique. Elle se focalise sur un suivi 3D à très haute résolution spatiale de l'interface Terre-Mer au niveau d'une plage sableuse, de l'échelle journalière à pluri-annuelle. Les méthodes proposées s'appuient sur des techniques de télédétection : stéréo-photogrammétrie depuis un drone hélicoptère, acquisitions au Scanner Laser Terrestre (TLS) et acquisitions au Sondeur Multi-Faisceaux (SMF) petits fonds sur les parties immergées de la plage. Pour chacune de ces techniques, nous avons élaboré un protocole spécifique d'acquisition et de traitement des données aboutissant à la génération de Modèles Numériques de Terrain (MNT), puis de MNT différentiels diachroniques. Cette approche multi-source permet de fusionner les données terre-mer (sur une frange s'étendant du haut de plage à 15 m de profondeur) et offre ainsi une vision synoptique des transferts de matière au sein du compartiment sédimentaire. Les techniques présentées ont été mises en oeuvre à la Plage de Porsmilin (Mer d'Iroise). Les résultats des levés récurrents ont fait l'objet d'une analyse de la variabilité morpho-sédimentaire à différentes échelles spatio-temporelles. Le suivi de la cellule sédimentaire a permis de déterminer la profondeur de fermeture à l'échelle annuelle et d'identifier les tendances saisonnières. Aux échelles spatio-temporelles plus fines, nous avons pu étudier l'évolution de figures sédimentaires telles que des bermes ou des croissants de plages. Autant que possible, chaque observation s'accompagne d'une identification du (des) forçage(s) hydrodynamique(s) sous-jacent(s).
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Baron, Valentin. "Méthodes d’identification de sources acoustiques paramétriques par mesures d’antennerie." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEI121.
Повний текст джерелаАнотація:
La caractérisation de sources acoustiques a pour but de décrire des émetteurs sonores à travers certains paramètres comme leur localisation dans l'espace, le niveau sonore qu'ils produisent ou encore leur identification grâce à leur signature acoustique. Dans cette thèse, l'objectif est d'obtenir certains de ces trois paramètres dans deux cas d'application concrets, pour des sources situées en champ lointain et grâce à des antennes acoustiques. La première application concerne l'impact acoustique de la prospection minière sous-marine par grands fonds dans le cadre du projet FUI Abysound. Au sein du projet, la thèse cherche à caractériser les machines excavatrices placées sur les fonds marins en obtenant leur localisation et leur niveau sonore. Une première phase de design a abouti à la construction d'une antenne conique de 3 m. En s'appuyant ensuite sur les données issues de deux campagnes expérimentales menées en mer Méditerranée avec cette antenne, la méthode haute-résolution MUSIC localise précisément les sources mises en oeuvre, qu'elles soient mobiles et à plus de 600 m de l'antenne, ou immergées par 700 m de fond. Leur niveau sonore est ensuite estimé par formation de voies, et les niveaux attendus sont retrouvés pour des signaux monochromatiques ou à large bande. Dans la seconde application, une procédure complète pour la localisation et l'identification de drones est proposée pour la protection de sites sensibles. Elle combine traitement d'antenne et apprentissage statistique en s'articulant autour de trois étapes clés : la localisation, la focalisation et l'identification. La méthode MUSIC localise à nouveau les sources acoustiques présentes autour de l'antenne industrielle utilisée, puis la focalisation reconstruit le signal temporel de chacune, et un modèle SVM les identifie comme drone ou non. Les validations expérimentales, en intérieur comme en extérieur, constituent une contribution importante de ce travail de thèse. Les données acquises montrent entre autres que la procédure localise des drones à 3° près en extérieur, les détecte à 99 %, ou encore les identifie en présence d'une source perturbatrice plus puissanteAcoustic sources characterization aims to describe sound emitters through some parameters like their localization in space, the sound level they produce or their identification thanks to their acoustic signature. In this thesis, the objective is to obtain some of these parameters in two industrial application cases, for sources located in far-field and by the use of acoustic arrays. The first application concerns deep-sea mining acoustic impact in the context of Abysound FUI project. Within it, the thesis searches to characterize the excavation machine located on the seabed by assessing their localization and their sound level. First, a design phase has led to the construction of a 3 m size acoustic array. Then, using data from two experimental campaigns conducted in the Mediterranean Sea with this array, the high-resolution method MUSIC accurately localizes the used acoustic sources, either mobile and more than 600 m away from the array, or immersed by 700 m depth. Their sound level is then estimated by beamforming, and the expected levels are verified for monochromatic or wideband signals. In the second application, a complete procedure for the localization and the identification of drones is proposed to protect sensitive areas. It combines array processing and machine learning through three key steps: localization, focalization, and identification. MUSIC localizes again nearby acoustic sources around the industrial array used, then focalization reconstructs each temporal signal, and a SVM model identifies them as drone or not. Experimental validations, inside and outside, establish an important contribution of this thesis work. Acquired data show for instance that the procedure localizes drones with 3° accuracy outside, detects them at 99 %, or identifies them despite the presence of a more powerful source
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Allart, Théo. "Relation entre la configuration de l'habitat dans la végétation aquatique submergée et la distribution des poissons." Thèse, 2020. http://depot-e.uqtr.ca/id/eprint/9724/1/eprint9724.pdf.
Повний текст джерела
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Nahirnick, Natasha K. "Long-term spatial-temporal eelgrass (Zostera marina) habitat change (1932-2016) in the Salish Sea using historic aerial photography and unmanned aerial vehicle." Thesis, 2018. https://dspace.library.uvic.ca//handle/1828/9380.
Повний текст джерелаАнотація:
Eelgrass (Zostera marina) is a critical nearshore marine habitat for juvenile Pacific salmon (Oncorhynchus spp.) as they depart from their natal streams. Given the poor marine survival of Coho (O. kisutch) and Chinook (O. tshawytscha) salmon juveniles in recent decades, it is hypothesized that deteriorating eelgrass habitats could contribute to their low survival. The primary goal of this research was to investigate the possible long-term spatial-temporal trends in eelgrass habitat in the Salish Sea and was addressed by two main objectives: (1) Define a methodology for mapping eelgrass habitats using UAV imagery to create a baseline for long-term mapping; and (2) Assess changes in eelgrass area coverage and fragmentation over the period of 1932-2016 using historic aerial photographs and Unmanned Aerial Vehicle (UAV) imagery, and assess the relationship between eelgrass and residential housing density and shoreline activities. Three study sites in the Southern Gulf Islands of the Salish Sea were chosen for analysis. The overall accuracies of eelgrass delineation from UAV imagery were 95.3%, 88.9%, and 90.1% for Village Bay, Horton Bay, and Lyall Harbour, respectively. The UAV method was found to be highly effective for this size of study site, however results were impacted by the environmental conditions at the time of acquisition, namely: sun angle, tidal height, cloud cover, water clarity, and wind speed. The results from the first objective were incorporated into a long-term dataset of historic aerial photography and used to evaluate changes in eelgrass area and fragmentation. All three eelgrass meadows showed a deteriorating trend in eelgrass condition. On average, eelgrass area coverage decreases by 41% while meadow complexity as indicated by the shape index increases by 76%. Shoreline activities (boats, docks, log booms, and shoreline armouring) and residential housing density increased markedly at all sites over the study period. By using a linear correlation model, it was revealed that eelgrass areal coverage and fragmentation (Shape Index) were, in general, very strongly correlated to these landscape-level coastal environmental indicators. While this correlation model is not meant to show a direct causative impact on eelgrass at these sites, these results suggest an overall deterioration of coastal environmental health in the Salish Sea due to a dramatic increase in the use of the coastal zone, as well as likely declines in water quality due to urbanization.Graduate
Книги з теми "Drone marin"
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Corps, United States Marine. Unmanned aerial vehicle operations. Washington, DC: Dept. of the Navy, Headquarters, U.S. Marine Corps, 2003.
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Gynnild, Astrid. Droner i sivilsamfunnet: Aktører, teknologi og etiske utfordringer. Cappelen Damm Akademisk - NOASP, 2016. http://dx.doi.org/10.23865/noasp.161.
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Civil drones are about to become a billion industry in Norway, and they are often touted as Norway´s new oil. But what exactly do we mean by civil drones, and how can we best ensure that they are used responsibly in society? That is the main question to be discussed in this book. Drones in Civil Society elucidates the topic from many different perspectives. Who are the various actors involved, and how do they work together? What are the differences between civil and military uses of drones? How do we differentiate between the hobby pilot and the professional drone operator, and how can students be trained in responsible, experimental investigation of drone technology? And not least: What happens to the privacy protection of the individual citizen in the midst of all this? The escalating pace of development suggests that drones will soon be an integral part of our everyday lives. What are the implications of this new reality on transportation, business, nature, surveillance, privacy, crime, warfare, and communication?
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Wich, Serge A., and Lian Pin Koh. Deciding to use a drone. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198787617.003.0001.
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In this chapter a brief introduction is given on three main aspects that drones are used for: detecting animals; land-cover mapping; and anti-poaching. Then the chapter focuses on which considerations are important to take into account when deciding to start applying drones for conservation. The chapter starts by providing an overview of alternative aerial data collection technologies. Deciding which technology to use for data gathering is not always straightforward and will likely depend on multiple factors. An overview is given of some aspects that are important to consider when starting the process of thinking about data collection. Then a discussion follows about which equipment and infrastructural needs are important to consider when using drones and the chapter ends by discussing some general considerations related to the usage of drones for conservation.
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Brunstetter, Daniel R. Just and Unjust Uses of Limited Force. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192897008.001.0001.
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Limited force—no-fly zones, limited strikes, Special Forces raids, and drones strikes outside “hot” battlefields—has been at the nexus of the moral and strategic debates about just war since the fall of the Berlin Wall but has remained largely under-theorized. The main premise of the book is that limited force is different than war in scope, strategic purpose, and ethical permissions and restraints. By revisiting the major wars animating contemporary just war scholarship (Kosovo, Afghanistan, Iraq, the drone “wars,” and Libya) and drawing insights from the just war tradition, this book teases out an ethical account of force-short-of-war. It covers the deliberation about whether to use limited force (jus ad vim), restraints that govern its use (jus in vi), when to stop (jus ex vi), and the after-use context (jus post vim). While these moral categories parallel to some extent their just war counterparts of jus ad bellum, jus in bello, jus post bellum, and jus ex bello, the book illustrates how they can be reimagined and recalibrated in a limited force context, while also introducing new specific to the dilemmas associated with escalation and risk. As the argument unfolds, the reader will be presented with a view of limited force as a moral alternative to war, exposed to a series of dilemmas that raise challenges regarding when and how limited force is used, and provided with a more precise and morally enriched vocabulary to talk about limited force and the responsibilities its use entails.
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Wich, Serge A., and Lian Pin Koh. Surveillance. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198787617.003.0004.
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In this chapter we review a number of cases where drones have been used for habitat and wildlife surveillance. Specifically we discuss their use in patrolling terrestrial and marine protected areas for detecting and documenting illegal activities. We highlight success stories, as well as key technical, ethical, and security issues.
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Sincavage, Dr Suzanne, Dr Hans C. Mumm, Wayne Lonstein, CPT John Paul Hood, Randall Mai, Dr Mark Jackson, Mike Monnik, et al. DRONE DELIVERY OF CBNRECy – DEW WEAPONS Emerging Threats of Mini-Weapons of Mass Destruction and Disruption ( WMDD). Edited by Randall K. Nichols. New Prairie Press Open Book Publishing, 2022.
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Oates, Rosamund. ‘The Laughter of Satan’. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198804802.003.0002.
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This chapter explores the ideas at the heart of Puritanism, examining Tobie Matthew’s early radicalism. Using the controversies over vestments in 1564–6 and the visit of Elizabeth I to the University of Oxford in 1566, the chapter shows that the idea of ‘edification’ became a central principle of Puritanism. This chapter explores the spiritual demands of edifying reform and shows how it drove English Puritans into conflict with the monarch and the Established Church. It demonstrates that Matthew’s Puritanism was rooted in the experience of Marian exiles, and that he drew on their Calvinism and their resistance texts to justify his potentially seditious view of godly magistracy and rebellion.
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Marino, Katherine M. Feminism for the Americas. University of North Carolina Press, 2019. http://dx.doi.org/10.5149/northcarolina/9781469649696.001.0001.
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This book chronicles the dawn of the global movement for women’s rights in the first decades of the twentieth century. The founding mothers of this movement were not based primarily in the United States, however, or in Europe. Instead, Katherine M. Marino introduces readers to a cast of remarkable Latin American and Caribbean women whose deep friendships and intense rivalries forged global feminism out of an era of imperialism, racism, and fascism. Six dynamic activists form the heart of this story: from Brazil, Bertha Lutz; from Cuba, Ofelia Domíngez Navarro; from Uruguay, Paulina Luisi; from Panama, Clara Gonzoz; from Chile, Marta Vergara; and from the United States, Doris Stevens. This Pan-American network drove a transnational movement that advocated women’s suffrage, equal pay for equal work, maternity rights, and broader self-determination. Their painstaking efforts led to the enshrinement of women’s rights in the United Nations Charter and the development of a framework for international human rights. But their work also revealed deep divides, with Latin American activists overcoming U.S. presumptions to feminist superiority. As Marino shows, these early fractures continue to influence divisions among today’s activists along class, racial, and national lines. Marino’s multinational and multilingual research yields a new narrative for the creation of global feminism. The leading women introduced here were forerunners in understanding the power relations at the heart of international affairs. Their drive to enshrine fundamental rights for women, children, and all people of the world stands as a testament to what can be accomplished when global thinking meets local action.
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Quaglia, Lucia. The Politics of Regime Complexity in International Derivatives Regulation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198866077.001.0001.
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This book examines the post-crisis international derivatives regulation by bringing together the international relations literature on regime complexity and the international political economy literature on financial regulation. Specifically, it addresses three interconnected questions. What factors drove international standard-setting on derivatives post-crisis? Why did international regime complexity emerge? How was it managed and with what outcomes? Theoretically, this research innovatively combines a state-centric, a transgovernmental and a business-led explanations. Empirically, it examines all the main sets of standards (or elemental regimes) concerning derivatives, namely: trading, clearing, and reporting derivatives; resilience, recovery, and resolution of central counterparties; bank capital requirements for bank exposures to central counterparties and derivatives; margins for derivatives non-centrally cleared. Regime complexity in derivatives ensued from the multi-dimensionality and the interlinkages of the problems to tackle, especially because it was a new policy area without a focal international standard-setter. Overall, the international cooperation that took place in order to promote regulatory precision, stringency, and consistency in the regime complex on derivatives was remarkable, especially considering the large number of policy actors involved (states, private actors, regulators). The main jurisdictions played an important role in managing regime complexity, but their effectiveness was constrained by limited domestic coordination. Networks of regulators facilitated international standard-setting and contributed to managing regime complexity through formal and informal tools. The financial industry, at times, lobbied in favour of less precise and stringent rules, engaging in international ‘venue shopping’; other times, it promoted regulatory harmonization and consistency.
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Schliesser, Eric. Newton's Metaphysics. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197567692.001.0001.
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This collection of papers by a leading philosophical Newton scholar offers new interpretations of Newton’s account of space, gravity, motion, inertia, and laws—all evergreens in the literature. The volume also breaks new ground in focusing on Newton’s philosophy of time, Newton’s views on emanation, and Newton’s modal metaphysics. In addition, the volume is unique in exploring the very rich resonances between Newton’s and Spinoza’s metaphysics, including the ways in which Newton and his circles responded to the threat by, and possible accusation of, Spinozism. Seven chapters have been published before and will be republished with minor corrections. Two of these chapters are coauthored: one with Zvi Biener and one with Mary Domski. Two chapters are wholly new and are written especially for this volume. In addition, the volume includes two postscripts with new material responding to critics. A main part of the argument of these essays is not just to characterize the conceptual choices Newton made in developing the structure of theory that would facilitate the kind of measurements characteristic of the Newtonian style, but also to show that these choices, in turn, were informed by intellectual aspirations that brought Newton’s edifice into theological and philosophical conflicts. As these conflicts became acute, these drove further conceptual refinement. Many of the essays in the volume relate the development of Newton’s philosophy to the philosophies of his contemporaries, especially Spinoza and Samuel Clarke.
Частини книг з теми "Drone marin"
1
Hollar, James L. "What if Zimmerman had been a Drone?" In Trayvon Martin, Race, and American Justice, 151–55. Rotterdam: SensePublishers, 2014. http://dx.doi.org/10.1007/978-94-6209-842-8_28.
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Ciaramella, Angelo, Francesco Perrotta, Gerardo Pappone, Pietro Aucelli, Francesco Peluso, and Gaia Mattei. "Environment Object Detection for Marine ARGO Drone by Deep Learning." In Pattern Recognition. ICPR International Workshops and Challenges, 121–29. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68780-9_12.
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Aburasain, R. Y., E. A. Edirisinghe, and M. Y. Zamim. "A Coarse-to-Fine Multi-class Object Detection in Drone Images Using Convolutional Neural Networks." In Digital Interaction and Machine Intelligence, 12–33. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11432-8_2.
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AbstractMulti-class object detection has a rapid evolution in the last few years with the rise of deep Convolutional Neural Networks (CNNs) learning based, in particular. However, the success approaches are based on high resolution ground level images and extremely large volume of data as in COCO and VOC datasets. On the other hand, the availability of the drones has been increased in the last few years and hence several new applications have been established. One of such is understanding drone footage by analysing, detecting, recognizing different objects in the covered area. In this study conducted, a collection of large images captured by a drone flying at a fixed altitude in a desert area located within the United Arab Emirates (UAE) is given and it is utilised for training and evaluating the CNN networks to be investigated. Three state-of-the-art CNN architectures, namely SSD-500 with VGGNet-16 meta-architecture, SSD-500 with ResNet meta-architecture and YOLO-V3 with Darknet-53 are optimally configured, re-trained, tested and evaluated for the detection of three different classes of objects in the captured footage, namely, palm trees, group-of-animals/cattle and animal sheds in farms. Our preliminary experiments revealed that YOLO-V3 outperformed SSD-500 with VGGNet-16 by a large margin and has a considerable improvement as compared to using SSD-500 with ResNet. Therefore, it has been selected for further investigation, aiming to propose an efficient coarse-to-fine object detection model for multi-class object detection in drone images. To this end, the impact of changing the activation function of the hidden units and the pooling type in the pooling layer has been investigated in detail. In addition, the impact of tuning the learning rate and the selection of the most effective optimization method for general hyper-parameters tuning is also investigated. The result demonstrated that the multi-class object detector developed has precision of 0.99, a recall of 0.94 and an F-score of 0.96, proving the efficiency of the multi-class object detection network developed.
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Zucchi, Valentina, Antonella Guidazzoli, Giovanni Bellavia, Daniele De Luca, Maria Chiara Liguori, Francesca Delli Ponti, Federica Farroni, and Beatrice Chiavarini. "Il Piccolo Masaccio e le Terre Nuove. Creativity and Computer Graphics for Museum Edutainment." In Proceedings e report, 166–72. Florence: Firenze University Press, 2018. http://dx.doi.org/10.36253/978-88-6453-707-8.40.
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Since its opening, the Museum of the New Towns, housed in the Palazzo di Arnolfo in San Giovanni Valdarno, has dedicated a particular attention to the relationship with its audiences. In this context, the video “Il piccolo Masaccio e le Terre Nuove” has the purpose of bringing children and young people, in particular, closer to the museum main themes. The video presents a series of very different techniques, such as live shots, taken also by drone, Computer Graphics, 2D drawings executed with a tablet, drawings sketched with traditional techniques, such as India ink and watercolours, and digital videos taken from Google Earth.
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Strauss, Johann A. "Economic and yield comparisons of different crop and crop-pasture production systems." In Conservation agriculture in Africa: climate smart agricultural development, 206–14. Wallingford: CABI, 2022. http://dx.doi.org/10.1079/9781789245745.0011.
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Abstract Over the past 15 years the adoption rate of Conservation Agriculture (CA) in southern South Africa has increased at a fast rate, although the adoption of the three pillars of CA was to varying degrees. The adoption of CA happened in the absence of any policy support framework directed to CA. The market drove the adaptation rate with a handful of local producers being the first to adopt no-till (NT) strategies. Long-term field experiments demonstrate that the effects of crop rotation include increased yields from the main wheat crop so that two-thirds of the present total wheat production may be achieved with only half the cropped area under the main crop, and gross margins are better - and dramatically better - with integration of cropping and livestock. This chapter presents an overview of the benefits to yield and economic sustainability of including alternative cash and pasture crops into CA farming systems in the winter rainfall region of southern South Africa.
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Arabsolgar, Dena, and Andrea Musumeci. "Cloud-Based Platform for the Circular Value-Chain." In Systemic Circular Economy Solutions for Fiber Reinforced Composites, 271–302. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-22352-5_14.
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AbstractThe FiberEUse IT platform is a tool that enables the exchange of information among stakeholders working into and crossing the glass and carbon fibers value chains. The list of stakeholders had been identified and is listed into the document. The list of users of the platform is also listed into the document, although it is not fixed. During the collection and analysis of the requirements, the circularity of the approach had been in the core focus. This drove to the identification of solutions able to cover all the different and innovative aspects of a Circular Economy Systemic Innovation. New products, new processes, new materials, new connections, quick and unexpected introductions of innovations, methodological approach, end of waste concept, availability of objects for dismantle, not-standardized parameters, are only some of the aspects arisen analysing deeply the requirements. They have all been approached in the platform which is by definition circular, dynamic, expandable and polymorphic. In the FiberEUse project, the validation activities of the IT platform had adopted an agile approach involving demonstrators during the preliminary phases of analysis, and mock-up creation. An internal technical validation had been completed. The methodology had been adopted and main results are reported in Sect. 5.
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Fesenko, Herman, and Ihor Kliushnikov. "NPP Monitoring Missions via a Multi-Fleet of Drones." In Cyber Security and Safety of Nuclear Power Plant Instrumentation and Control Systems, 458–73. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3277-5.ch017.
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A drone-based system of monitoring of severe NPP accidents is described. A structure of a multi-fleet of drones, consisting of main drone fleets and a reserve drone fleet, is considered. A matrix of drone fleet reliability assessment attributes is presented. Various structures for systems of control stations for the multi-fleet of drones are suggested. Reliability models for the multi-fleet of drones with centralized (irredundant), centralized (redundant), decentralized, and partially decentralized systems of control stations are developed and analyzed.
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Chow, Yuk-Ting, Wong Chi Yat, and Yui-yip Lau. "Preliminary Study of Drone Delivery Systems in Hong Kong." In Artificial Intelligence and Communication Technologies, 305–17. Soft Computing Research Society, 2022. http://dx.doi.org/10.52458/978-81-955020-5-9-30.
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The rise of drone delivery systems is due to the wave of industry 4.0. The outbreak of the COVID-19 pandemic reinforces the importance of drone delivery systems in order to minimize the spread of the virus, facilitate the economic revitalization processes, and encourage the growth of smart logistics operations in the post-COVID-19 era. In this study, we conduct a preliminary study to address the three main research questions, namely Are the citizens welcome to have drones delivering their packages and other issues associated with the drones? (2) Do the citizens perceive a difference in the risks associated with human delivery and drone delivery? (3) What are the public’s concerns associated with drone delivery? As such, survey questionnaires were collected from Hong Kong residents. The findings highlight that Hong Kong residents are concerned about protecting the drone or package when falling to the ground or water; and (2) minimizing damages to humans, structures, vehicles, or vessels. This pilot study can provide valuable insights and constructive feedback to policymakers and industrial practitioners to design and implement drone delivery systems in Hong Kong in the future.
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Fiorini, M., A. Pennisi, and D. D. Bloisi. "Optical Target Recognition for Drone Ships." In Marine Navigation, 371–75. CRC Press, 2017. http://dx.doi.org/10.1201/9781315099132-47.
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Boyle, Michael J. "The Drone Age." In The Drone Age, 1–26. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190635862.003.0001.
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Chapter 1 provides an overview of the growth of drone technology around the world and introduces the main themes of the book. It distinguishes drones from similar forms of technology and discusses their unique features. It describes how drones have now come into the hands of new actors, such as governments, terrorist organizations, law enforcement, and others. It argues that the possession of drones is altering the strategic choices of all of these actors by changing their calculation of risks and by leading them to expand their goals, sometimes in unsustainable ways. It identifies the six consequences of these alterations for war and peace, each of which will be explained in detail in the book.
Тези доповідей конференцій з теми "Drone marin"
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COULOMBIER, Thibault, Valérie BALLU, Philippe PINEAU, Nicolas LACHAUSSEE, Etienne POIRIER, Antoine GUILLOT, Michel CALZAS, et al. "PAMELi, un drone marin de surface au service de l’interdisciplinarité." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2018. http://dx.doi.org/10.5150/jngcgc.2018.038.
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Velazquez, Eric Marin, and Sudhanshu Kumar Semwal. "Using Autonomous Drones Interactions towards Mobile Personal Spaces for Indoor Environments." In WSCG'2021 - 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2021. Západočeská univerzita, 2021. http://dx.doi.org/10.24132/csrn.2021.3002.14.
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We propose an extension of a recent work using convo-lutional neural networks and drones, such as Learning tofly by using DroNet [8] that can possibly safely drive adrone autonomously. The combination of (i) the DroNetarchitecture and weights to apply to CNNs to avoid thecrashes; (ii) combining it with DLIB tracker, a corre-lation implemented tracker based on Danelljan et al.’spaper [3] work; (iii) the extraction of descriptors usingSpeeded Up Robust Features [1]; and (iv) Fast Libraryfor Approximate Nearest Neighbors [10] for the featurematching – leads a drone to track any object and avoidcrashes autonomously without any prior informationabout the object. The main goal is to create a partnershipbetween the drone(s) and the participant as the dronefollows the participant and avoids collisions. Our workextends existing methods to also included a way for adrone to follow a person even if the person is hiddenfor a few frames. Our algorithms also work in low/poorambient light satisfactorily. In future, our technique canbe used to provide novel indoor applications for drones.
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Nicolai Jensen, Benjamin, Eljane Uys, and Laetitia Cook. "The Use of Drone Technologies Within the Built Environment of South Africa." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002323.
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As the 4th Industrial Revolution technologies continue to recast the practices of multiple industries, there is an opportunity for the South African Built Environment to hop on the bandwagon of this technical evolution. Within the country’s-built environment, the focus of the paper was upon reporting on the feasible symbiotic relationship of the construction industry and drone technology.Based on previous literature with regards to drones in the construction industry of South Africa, it was found that many practitioners were eager to investigate the possible use of drones however the main concern was the cost. Therefore, the question of what legal drone and data processing program could feasibly be incorporated by practising professionals into the different construction stages of development was investigated.To produce evidence, results and derive conclusions on the question; an exploratory study of academic journals and articles along with manufacturer specifications was conducted. First off, the paper motivates that through the versatility of drones and the processing programs abilities many current construction practices can become more efficient. It was found though, through interviews with practising professionals, that the only damper on optimising the versatility of drones in South Africa was the legislation.To guide the results of exploration practising professionals were interviewed to provide a baseline on the current use of drones in South Africa. The interviews revealed that before starting to look at a drone, a processing program or the cost thereof the legislation governing drone usage in South Africa must be understood and complied with. Throughout the paper, the legal requirements have been stated to inform the construction industry of these requirements. To follow this, professional drones and data processing programs available and their cost were tabulated to answer the question. However, it was concluded that a drone cannot be limited to a single stage in a construction project because of its multifaceted functionality. Furthermore, it is dependent on the size of the project and the skill of the pilot to whether a drone is a feasible option for each construction project.Future research may need to be done to further refine the study. Practical research tests to see how drones perform on South African construction sites may provide critical results to elaborate on, and provide additional data. Another aspect to be further researched is the legal cost of a drone in terms of time and money to critically answer whether outsourcing or in house drone services are the future of construction company’s practices.
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Doroftei, Daniela, Geert De Cubber, and Hans De Smet. "Assessing Human Factors for Drone Operations in a Simulation Environment." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002319.
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The number of small drones and drone operations is expanding and proliferating tremendously. However, there is a problem. Drones crash. Often. When they do, international studies show that over 70% of the drone crashes can be related to human factors. Combining these two facts, it is clear that - if we want to avoid a massive number of drone incidents in the future – it is required to develop a strategy to incorporate human factors in the drone deployment process and the training of drone pilots. Pilots for regular aircraft or for larger (typically military) drones generally follow extensive simulator training before engaging in any real flight. However, for small rotorcraft, this is much less the case, because it is very difficult to convey a realistic representation to the human sensory system. Both for fixed wing and rotary wing drones, the main problem with current simulator-based pilot training programs is that they are limited to simplistic scenarios (typically flying predefined patterns and practicing take-off and landing operations), without providing much qualitative feedback to the trainee or the supervising entity.In response to these identified shortcomings, we present in this paper a drone operator performance assessment tool, which uses a realistic environment and realistic operational conditions to measure the performance of the drone operator, both in a qualitative and quantitative manner. These metrics can then be used by training responsibles to adapt / adjust the theoretical and practical training courses for drone pilots, such that the curriculum (both the practical and the theoretical courses) can be iteratively optimized to best fit the needs. An important aspect of any qualification assessment procedure is the definition of the test methodologies and of the test scenarios. Within the subject of drone pilot training, these test scenarios are currently most often very limited to simple take-off & landing operations and of following simple patterns in the air. For pilots working in the security sector (military, police, firefighters, civil protection, ...) in tough operating conditions, these highly simplistic scenarios are hardly relevant. Therefore, we also propose a set of standard test methods specifically geared towards the training of drone operators in the security sector.In this paper, we present the architecture of the developed assessment tool, which runs inside a simulation environment, enabling repetitive (statistically relevant) testing in a controlled environment. The simulation engine is based upon the AirSim simulator and uses the UnReal game engine for realistic environmental rendering. Together with the end-users, twenty-two scenarios have been defined within two main mission environments: a mountainous and an urban environment. These scenarios are especially conceived to cover most of the hazards and environmental challenges that end users wanted to test for, the pilot performance capabilities that they wanted to see measured and the human factors that they identified as potentially important influencing factors for pilot performance.
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Hashemi, Seyed Reza, Roja Esmaeeli, Haniph Aliniagerdroudbari, Muapper Alhadri, Hammad Alshammari, Ajay Mahajan, and Siamak Farhad. "New Intelligent Battery Management System for Drones." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10479.
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Abstract Drones or Unmanned Aerial Vehicles (UAV) are the aircraft controlled remotely by radio waves or autonomously and can fly without a pilot and passengers. Demands for drones with long flight times are increasing significantly in the personal and commercial applications. One of the main issues about drones is their power management. However, these devices are powered by a high energy density lithium battery, but a flight time range could be about 20–40 min. Increasing the battery energy storage capacity to achieve more flight time is not usually a good idea due to the additional weight in drones. In order to solve this issue, an Intelligent Battery Management System (IBMS) is proposed to predict the maximum available energy of the battery pack to make the best decision for finding the closest charging station depending on different weather conditions. In this study, lithium-ion battery with lithium titanite oxide (LTO) anode, as a fast charging and fast discharging battery, is used as the drone power supply. The proposed IBMS can not only increase the performance and life of the battery system but also it can estimate the battery cells state of charge (SOC) based on a system identification method. Results show that the proposed system has an accurate estimation of the maximum available energy, and therefore accurate flight time prediction to find the best recharging node for the drone.
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Perčič, Kristijan, and Branka Leskovšek. "Slovenia on the Way to Drone Delivery - What More Needs to be Done." In XV. International Conference on Logistics in Agriculture 2021. University of Maribor Press, 2021. http://dx.doi.org/10.18690/978-961-286-538-2.4.
Повний текст джерелаАнотація:
Nowadays, it is impossible to bypass the fact that digitization, robotics and automation of work are becoming an increasingly important part of our living and business. It becomes crucial, especially in urban areas, to identify new operational models that could be applied for last mile deliveries, where increasing of city logistics sustainability is being the main goal. Drones have been widely acknowledged as a promising technology in many fields and industries, especially for the delivery of medical and aid packages in humanitarian and healthcare logistics. In this study, we present the project of Post of Slovenia, which aimed to implement first delivery drone to the fleet to access hard-to-access locations. Slovenian Post aims to create innovative, cost-efficient and market-led business environment for the development and take-up of new drone services and technologies within the Slovenian’s internal market. As the national legislation in this area is still relatively unregulated, Post of Slovenia has actively contacted with the national authorities, which are the drafters of the relevant legislation, in order to accelerate the introduction of delivery drones into Slovenian airspace.
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Macêdo, G. C. G., T. Zlatar, and B. Barkokébas Jr. "Use of drone (UAV) as a tool for work safety inspection for roofing activities in civil construction: a systematic review." In 4th Symposium on Occupational Safety and Health. FEUP, 2021. http://dx.doi.org/10.24840/978-972-752-279-8_0001-0008.
Повний текст джерелаАнотація:
Introduction: Falls from heights represent one of the most frequent accidents in civil constructions, mainly caused by different roofing activities. The risks should be first evaluated by conducting safety inspections, and then implementing adequate control measures to eliminate or reduce the risks of accidents. New technologies facilitate those inspections and make the processes much more efficient. The objective of this study was to make a systematic review to analyse works which used a drone as a visual tool for such safety inspection activities, systematize main information needed to consider in developing future drone research in civil construction. Methodology: The research was carried out on the Brazilian platform for scientific journals and conferences called “CAPES Portal”through the Preferred Report for Systematic Reviews and Meta-analyzes (PRISMA) methodology. Several keywords were used for searching, including: "Construction", "Construction Safety", "Safety Inspection", "Safety Management", "Drone", "Unmanned Aerial Vehicles". Results and Discussion: In total, 102 articles were identified through the searching. After applying all the inclusion and exclusion criteria (published in the last 10 years, published in English or Portuguese language), In addition, the articles were included only if related to the use of drones in civil construction and if had some relationship with work safety inspection. A total number of 15 articles fulfilled the selection criteria’s and were included in this review. Theinformation about the analysed studies included information such as author/reference, the objective of the study, the country where the study was conducted, the activities which were analysed, conclusions, limitations and the type of the drone which was used in the research. In total, 8 of the 15 studies were developed in the United States, representing 53% of the total, while other studies are from Germany (4), Brazil (2), Australia (1) and Spain (1). Most studies analysed the inspection ofbridges and roofs. Conclusions: Studies have shown that there is evidence of the advantages of using drones to assist in safety inspections in civil construction, especially in bridges and roofs.
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Serra, Wendel, Warley Junior, Isaac Barros, Hugo Kuribayashi, and João Carmona. "Monitoring and Smart Decision Architecture for DRONE-FOG Integrated Environment." In Simpósio Brasileiro de Computação Ubíqua e Pervasiva. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/sbcup.2021.16008.
Повний текст джерелаАнотація:
Due to the limited computing resources of drones, it is difficult to handle computation-intensive tasks locally, hence, fog-based computation offloading has been widely adopted. The effectiveness of an offloading operation, however, is determined by its ability to infer where the execution of code/data represents less computational effort for the drone, so that, by deciding where to offload correctly, the device benefits. Thus, this paper proposes MonDroneFog, a novel fog-based architecture that supports image offloading, as well as monitoring and storing the performance metrics related to the drone, wireless network, and cloudlet. It takes advantage of the main machine-learning algorithms to provide offloading decisions with high levels of accuracy, F1, and G-mean. We evaluate the main classification algorithms under our database and the results show that Multi-Layer Perceptron (MLP) and Logistic Regression classifiers achieve 99.64% and 99.20% accuracy, respectively. Under these conditions, MonDrone-Fog works well in dense forests when weather conditions are favorable and can be useful as a support system for SAR missions by providing a shorter runtime for image operations.
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Fiorini, M., A. Pennisi, and D. Bloisi. "Optical Target Recognition for Drone Ships." In The International Conference on Marine Navigation and Safety of Sea Transportation (TRANSNAV 2017). Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2017. http://dx.doi.org/10.1201/9781315099132-64.
Повний текст джерела
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Carter, T. G., A. Begin, J. P. Dittrich, R. Gillinder, L. F. Brewster, C. Evans, J. L. Carvalho, N. Solis, R. Arthur, and D. Williamson. "Innovative Use of Drone Technology & 3D Numerical Modelling for Cliff Stability Evaluation." In ICE Coasts, Marine Structures and Breakwaters. ICE Publishing, 2018. http://dx.doi.org/10.1680/cmsb.63174.0267.
Повний текст джерелаЗвіти організацій з теми "Drone marin"
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Sol Milne, Sol Milne. Using drones to find ghost gear in Koh Phangan, Thailand & study the impacts on marine megafauna. Experiment, November 2022. http://dx.doi.org/10.18258/31056.
Повний текст джерела
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Kholoshyn, Ihor V., Olga V. Bondarenko, Olena V. Hanchuk, and Iryna M. Varfolomyeyeva. Cloud technologies as a tool of creating Earth Remote Sensing educational resources. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3885.
Повний текст джерелаАнотація:
This article is dedicated to the Earth Remote Sensing (ERS), which the authors believe is a great way to teach geography and allows forming an idea of the actual geographic features and phenomena. One of the major problems that now constrains the active introduction of remote sensing data in the educational process is the low availability of training aerospace pictures, which meet didactic requirements. The article analyzes the main sources of ERS as a basis for educational resources formation with aerospace images: paper, various individual sources (personal stations receiving satellite information, drones, balloons, kites and balls) and Internet sources (mainstream sites, sites of scientific-technical organizations and distributors, interactive Internet geoservices, cloud platforms of geospatial analysis). The authors point out that their geospatial analysis platforms (Google Earth Engine, Land Viewer, EOS Platform, etc.), due to their unique features, are the basis for the creation of information thematic databases of ERS. The article presents an example of such a database, covering more than 800 aerospace images and dynamic models, which are combined according to such didactic principles as high information load and clarity.
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Bäumler, Maximilian, Madlen Ringhand, Christian Siebke, Marcus Mai, Felix Elrod, and Günther Prokop. Report on validation of the stochastic traffic simulation (Part B). Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.243.
Повний текст джерелаАнотація:
This document is intended to give an overview of the validation of the human subject study, conducted in the driving simulator of the Chair of Traffic and Transportation Psychology (Verkehrspsychologie – VPSY) of the Technische Universität Dresden (TUD), as well of the validation of the stochastic traffic simulation developed in the AutoDrive project by the Chair of Automotive Engineering (Lehrstuhl Kraftfahrzeugtechnik – LKT) of TUD. Furthermore, the evaluation process of a C-AEB (Cooperative-Automatic Emergency Brake) system is demonstrated. The main purpose was to compare the driving behaviour of the study participants and the driving behaviour of the agents in the traffic simulation with real world data. Based on relevant literature, a validation concept was designed and real world data was collected using drones and stationary cameras. By means of qualitative and quantitative analysis it could be shown, that the driving simulator study shows realistic driving behaviour in terms of mean speed. Moreover, the stochastic traffic simulation already reflects reality in terms of mean and maximum speed of the agents. Finally, the performed evaluation proofed the suitability of the developed stochastic simulation for the assessment process. Furthermore, it could be shown, that a C-AEB system improves the traffic safety for the chosen test-scenarios.