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A DIY Low-Cost Wireless Wind Data Acquisition System Used to Study an Arid Coastal Foredune
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por Antonio C. Domínguez Brito
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publicado
16/02/2020
Environmental studies on coastal dune systems are faced with a considerable cost barrier due to the cost of the instrumentation and sensory equipment required for data collection. These systems play an important role in coastal areas as a protection against erosion and as providers of stability to coastal sedimentary deposits. The DIY (Do-It-Yourself) approach to data acquisition can reduce the cost of these environmental studies. In this paper, a low-cost DIY wireless wind data acquisition system is presented which reduces the cost barrier inherent to these types of studies. The system is deployed for the analysis of the foredune of Maspalomas, an arid dune field situated on the south coast of Gran Canaria (Canary Islands, Spain), for the specific purpose of studying the dynamics of a dune type (tongue dunes), which is typical of this environment. The results obtained can be of interest for the study of these coastal environments at both the local level, for the management of this particular dune field, and at the general level for other similar dune fields around the world.
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Publicaciones / Publications
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An Approach to Multi-Objective Path Planning Optimization for Underwater Gliders
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por Antonio C. Domínguez Brito
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publicado
16/02/2020
Underwater gliders are energy-efficient vehicles that rely on changes in buoyancy in order to convert up and down movement into forward displacement. These vehicles are conceived as multi-sensor platforms, and can be used to collect ocean data for long periods in wide range areas. This endurance is achieved at the cost of low speed, which requires extensive planning to ensure vehicle safety and mission success, particularly when dealing with strong ocean currents. As gliders are often involved on missions that pursue multiple objectives (track events, reach a target point, avoid obstacles, sample specified areas, save energy), path planning requires a way to deal with several constraints at the same time; this makes glider path planning a multi-objective (MO) optimization problem. In this work, we analyse the usage of the non-dominated sorting genetic algorithm II (NSGA-II) to tackle a MO glider path planning application on a complex environment integrating 3D and time varying ocean currents. Multiple experiments using a glider kinematic simulator coupled with NSGA-II, combining different control parameters were carried out, to find the best parameter configuration that provided suitable paths for the desired mission. Ultimately, the system described in this work was able to optimize multi-objective trajectories, providing non dominated solutions. Such a planning tool could be of great interest in real mission planning, to assist glider pilots in selecting the most convenient paths for the vehicle, taking into account ocean forecasts and particular characteristics of the deployment location.
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Publicaciones / Publications
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Multi-frequency and light-avoiding characteristics of deep acoustic layers in the North Atlantic
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por Antonio C. Domínguez Brito
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publicado
17/02/2020
This study aimed to add light-avoidance as a categorizing technique for the study of mesopelagic acoustic layers. Data recorded along the 20° W parallel from 20° N to Iceland showed three types of mesopelagic layers: the non-avoiding non-migrant deep scattering layer (NMDSL), which dropped its intensity toward the north, the avoiding migrating fish layers (MDSL), which were more intense at upwelling areas and toward the north, and a secondary deeper NMDSL at the southern part. Light avoidance was only discernible at 18 kHz within the main NMDSL when this layer was intense, suggesting that migrants are barely seen at 38 kHz when other resonant scatterers occupy these depths. These results highlight the importance of employing the 18 kHz frequency from a vessel borne echosounder or lowered echosounders attached to a probe to study gas-bearing migrants.
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Publicaciones / Publications
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por Antonio C. Domínguez Brito
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Última modificación
17/02/2020 12:43
Ubicado en
Personas
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Darío Sosa
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Darío Sosa
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por Antonio C. Domínguez Brito
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Última modificación
17/02/2020 12:44
Ubicado en
Personas
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Darío Sosa
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Darío Sosa
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por Antonio C. Domínguez Brito
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Última modificación
17/02/2020 12:46
Ubicado en
Personas
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Darío Sosa
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Darío Sosa
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SMACC: A System for Microplastics Automatic Counting and Classification
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por Antonio C. Domínguez Brito
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publicado
17/02/2020
The management of plastic debris is a serious issue due to its durability. Unfortunately, million tons of plastic end up in the sea becoming one of the biggest current environmental problems. One way to monitor the amount of plastic in beaches is to collect samples and visually count and sort the plastic particles present in them. This is a very time-consuming task. In this work, we present a Computer Vision-based system which is able to automatically count and classify microplastic particles (1-5 mm) into five different visual classes. After cleaning a collected sample in the lab, the proposed system makes use of a pair of its images with different characteristics. The procedure includes a segmentation step, which is based on the Sauvola thresholding method, followed by a feature extraction and classification step. Different features and classifiers are evaluated as well as a deep learning approach. The system is tested on 12 different beach samples with a total of 2507 microplastic particles. The particles of each sample were manually counted and sorted by an expert. This data represents the ground truth, which is compared later with the results of the automatic processing proposals to evaluate their accuracy. The difference in the number of particles is 34 (1.4%) and the error in their classification is less than 4% for all types except for the line shapes particles. These results are obtained in less than half of the time needed by the human expert doing the same task manually. This implies that it is possible to process more than twice as many samples using the same time, allowing the biologists to monitor wider areas and more frequently than doing the process manually.
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foto hierro low res
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por Antonio C. Domínguez Brito
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Última modificación
11/12/2012 11:52
Ubicado en
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Antonio Carlos Domínguez Brito
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foto despacho 600
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por Antonio C. Domínguez Brito
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Última modificación
11/12/2012 11:52
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Personas
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Antonio Carlos Domínguez Brito
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Datos de Contacto
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por Antonio C. Domínguez Brito
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publicado
15/01/2014
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Última modificación
15/01/2014 17:14
Datos de contacto de la División ROC-SIANI
Instituto Un
Universidad de Las Palmas de Gran Canaria