1,721,132 research outputs found
FAIR data and Marine Robotics
No full text<p>A solid understanding of the ocean functioning is now more important than ever. With the advent of the UN Decade of Ocean Science for Sustainable Development and the boost of marine technology, now we have access to groundbreaking observations. Novel robotics can shed light on unexplored marine areas and unlock the observation of pristine environments leaving no trace behind. Pioneering ocean robots are filling the observational gap in marine sciences by collecting a growing amount of original data. These innovative, non-standard robotic platforms, including autonomous underwater vehicles (AUVs) and surface vehicles (ASVs), are developed to overcome environmental constraints or meet specific requirements, such as working in critical polar environments, transitional waters, and areas characterized by very shallow water conditions, where conventional data collection techniques are often ineffective or non-usable. With the increasing expansion of marine robotics applications and the growing number of research groups collecting vast amounts of data, the implementation of FAIR principles becomes of fundamental importance, especially for datasets encompassing both environmental and robotic data and metadata. Implementing FAIR principles in managing these data will facilitate greater accessibility and sharing among experts, enhancing cooperation and collaboration in the field of marine robotics, contributing to mission safety improvement, ensuring greater accuracy and reliability of data and results, which constitute a crucial contribution to global marine research and conservation efforts.</p><p>The marine robotics group at CNR INM in Genoa has decades of experience in developing highly modular and reconfigurable autonomous robotic platforms that enable access and monitoring in critical environments and in their use during experimental data acquisition campaigns. Moreover, the increasing use of robotic platforms as technological enablers for innovative services addressed to diverse stakeholders, including research groups as well as SMEs, authorities and administrations, and the public community and citizens, is leading to the recording of big volumes of data. To harness their potential effectively, a change of perspective is underway within the CNR INM robotics group, emphasizing the centrality of the data and their management through the application of FAIR principles.</p><p>This contribution will outline the efforts of the CNR INM group in developing and implementing a framework for the acquisition and management of environmental and robotic datasets, enabling the generation of integrated "FAIR by default" data. The purpose of this work, which recognizes the centrality of data through the implementation of the FAIR principles, is to facilitate the storage and long-term preservation, sharing, and reuse of these datasets. This will elevate both their scientific value and the potential to formulate more sustainable management strategies for the marine environment, fundamental for the health of the planet and of the well being of the people.</p>
Multitemporal Volume Registration for the Analysis of Rheumatoid Arthritis Evolution in the Wrist
Get PDFThis paper describes a method based on an automatic segmentation process to coregister carpal bones of the same patient imaged at different time points. A rigid registration was chosen to avoid artificial bone deformations and to allow finding eventual differences in the bone shape due to erosion, disease regression, or other eventual pathological signs. The actual registration step is performed on the basis of principal inertial axes of each carpal bone volume, as estimated from the inertia matrix. In contrast to already published approaches, the proposed method suggests splitting the 3D rotation into successive rotations about one axis at a time (the so-called basic or elemental rotations). In such a way, singularity and ambiguity drawbacks affecting other classical methods, for instance, the Euler angles method, are addressed. The proposed method was quantitatively evaluated using a set of real magnetic resonance imaging (MRI) sequences acquired at two different times from healthy wrists and by choosing a direct volumetric comparison as a cost function. Both the segmentation and registration steps are not based on a priori models, and they are therefore able to obtain good results even in pathological cases, as proven by the visual evaluation of actual pathological cases
Maneuverability Characterization of Autonomous Surface Vehicle (ASV): ITTC zig-zag test dataset
No full textThe two files refer to the same dataset: the .csv file is the raw format that is acquired by the ASV robotic platform. The .nc file contains the same data but in a standard format and with global and variable metadata generated using a standardization workflow (based on FAIR Principles) developed at CNR INM which uses controlled and standard vocabularies (ACDD and standard CF).
The data refer to the execution of zig-zag maneuvers of the ASV following the ITTC standard
Color Spaces in Data Fusion of Multi-temporal Images
No full textThe data fusion process is strongly recommended in biomedical applications. It allows a better detection and localization of the pathology, as well as the diagnosis and follow-up of many diseases [1], especially with multi-parametric or multi-temporal data.
The independent visualization of multiple images from large volumes is a main cause of errors and inaccuracy within the interpretation process. In this respect, the use of color fusion methods allows to highlight small details from multi-temporal and multi-parametric images.
In the present work, a color data fusion approach is proposed for multi-temporal images, in particular for images of the liver acquired through triphasic CT.
The best color association has been studied considering various data sources. Different metrics for quality assessment have been selected from the color space theory, making an interesting comparison with the human visual perception
Multi-temporal MRI carpal bone volumes analysis by principal axes registration
No full textabstract
In this paper, a principal axes registration technique is presented, with the relevant application to segmented volumes. The purpose of the proposed registration is to compare multi-temporal volumes of carpal bones from Magnetic Resonance Imaging (MRI) acquisitions. Starting from the study of the second-order moment matrix, the eigenvectors are calculated to allow the rotation of volumes with respect to reference axes. Then the volumes are spatially translated to become perfectly overlapped.
A quantitative evaluation of the results obtained is carried out by computing classical indices from the confusion matrix, which depict similarity measures between the volumes of the same organ as extracted from MRI acquisitions executed at different moments. Within the medical field, the way a registration can be used to compare multi-temporal images is of great interest, since it provides the physician with a tool which allows a visual monitoring of a disease evolution.
The segmentation method used herein is based on the graph theory and is a robust, unsupervised and parameters independent method. Patients affected by rheumatic diseases have been considered. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only
Unmanned Marine Vehicles
No full textWater covers nearly 70% of the Earth’s surface, and throughout history, oceans, seas, lakes, rivers, etc [...
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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