Feudalistic Platooning: Subdivide Platoons, Unite Networks, and Conquer Efficiency and Reliability

Cooperative intelligent transportation systems (C-ITSs) such as platooning rely on a robust and timely network that may not always be available in sufficient quality. Out of the box hybrid networks only partly eliminate shortcomings: mutual interference avoidance, data load balancing, and data dissemination must be sophisticated. Lacking network quality may lead to safety bottlenecks that require that the distance between the following vehicles be increased. However, increasing gaps result in efficiency loss and additionally compromise safety as the platoon is split into smaller parts by traffic: maneuvers, e.g., cut-in maneuvers bear safety risks, and consequently lower efficiency even further. However, platoons, especially if they are very long, can negatively affect the flow of traffic. This mainly applies on entry or exit lanes, on narrow lanes, or in intersection areas: automated and non-automated vehicles in traffic do affect each other and are interdependent. To account for varying network quality and enable the coexistence of non-automated and platooned traffic, we present in this paper a new concept of platooning that unites ad hoc—in form of IEEE 802.11p—and cellular communication: feudalistic platooning. Platooned vehicles are divided into smaller groups, inseparable by surrounding traffic, and are assigned roles that determine the communication flow between vehicles, other groups and platoons, and infrastructure. Critical vehicle data are redundantly sent while the ad hoc network is only used for this purpose. The remaining data are sent—relying on cellular infrastructure once it is available—directly between vehicles with or without the use of network involvement for scheduling. The presented approach was tested in simulations using Omnet++ and Simulation of Urban Mobility (SUMO)

Eighth International Symposium “Monitoring of Mediterranean Coastal Areas. Problems and Measurement Techniques”

The 8th International Symposium "Monitoring of Mediterranean Coastal Areas. Problems and Measurements Techniques" was organized by CNR-IBE in collaboration with FCS Foundation, and Natural History Museum of the Mediterranean and under the patronage of University of Florence, Accademia dei Geogofili, Tuscany Region and Livorno Province. It is the occasion in which scholars can illustrate and exchange their activities and innovative proposals, with common aims to promote actions to preserve coastal marine environment. Considering Symposium interdisciplinary nature, the Scientific Committee, underlining this holistic view of Nature, decided to celebrate Alexander von Humboldt; a nature scholar that proposed the organic and inorganic nature’s aspects as a single system. It represents a sign of continuity considering that in-presence Symposium could not be carried out due to the COVID-19 pandemic restrictions. Subjects are related to coastal topics: morphology; flora and fauna; energy production; management and integrated protection; geography and landscape, cultural heritage and environmental assets, legal and economic aspects

Proceedings of Eighth International Symposium “Monitoring of Mediterranean Coastal Areas. Problems and Measurement Techniques”

The 8th International Symposium "Monitoring of Mediterranean Coastal Areas. Problems and Measurements Techniques" was organized by CNR-IBE in collaboration with FCS Foundation, and Natural History Museum of the Mediterranean and under the patronage of University of Florence, Accademia dei Geogofili, Tuscany Region and Livorno Province. It is the occasion in which scholars can illustrate and exchange their activities and innovative proposals, with common aims to promote actions to preserve coastal marine environment. Considering Symposium interdisciplinary nature, the Scientific Committee, underlining this holistic view of Nature, decided to celebrate Alexander von Humboldt; a nature scholar that proposed the organic and inorganic nature’s aspects as a single system. It represents a sign of continuity considering that in-presence Symposium could not be carried out due to the COVID-19 pandemic restrictions. Subjects are related to coastal topics: morphology; flora and fauna; energy production; management and integrated protection; geography and landscape, cultural heritage and environmental assets, legal and economic aspects

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies

This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective

Atti del XXII Convegno Nazionale di Agrometeorologia Ricerca ed innovazione per la gestione del rischio meteo - climatico in agricoltura

Il rischio è una componente intrinseca all’attività di impresa. Nessun imprenditore, nel momento in cui assume una decisione, è sicuro delle conseguenze che essa avrà sui risultati economici. Ed è proprio il rischio connesso agli esiti delle decisioni che è all’origine del profitto. Nel caso dell’agricoltura, il carattere biologico dell’attività aggiunge un ulteriore elemento di rischio alle decisioni degli imprenditori del settore. In particolare, l’andamento meteorologico durante la stagione colturale ha un ruolo preponderante, e il rischio meteorologico viene definito come la capacità delle aziende di gestire entrate, costi e performance finanziarie sensibili alle condizioni meteorologiche. L’incertezza meteorologica è sempre esistita, ma nel nuovo clima alcuni fenomeni negativi per l’agricoltura hanno aumentato la loro frequenza, mentre altri fenomeni si sono aggiunti alla lista: temperature massima e minima oltre soglie di criticità termica, pioggia massima giornaliera oltre soglie di criticità, vento con intensità al di sopra di soglie di criticità, grandine, fulmini e tempeste elettriche, alluvioni. Inoltre si verificano con più elevata frequenza sfasamenti stagionali, precipitazioni brevi ed intense e si ha un maggiore rischio di gelate tardive. Uno o un insieme di questi fenomeni concorrono, uniti alla frequenza di accadimento, a definire la possibilità di successo dell’agricoltore. In questo contesto l’AIAM propone, per il 22° convegno Nazionale, temi riguardanti lo studio del cambiamento climatico e dei rischi per l’agricoltura, quali sono gli strumenti per la previsione e le strategie per la prevenzione del rischio, e come i servizi agrometeorologici supportano gli agricoltori nella difesa integrata delle colture agrarie

Atti del XXII Convegno Nazionale di Agrometeorologia Ricerca ed innovazione per la gestione del rischio meteo - climatico in agricoltura

Il rischio è una componente intrinseca all’attività di impresa. Nessun imprenditore, nel momento in cui assume una decisione, è sicuro delle conseguenze che essa avrà sui risultati economici. Ed è proprio il rischio connesso agli esiti delle decisioni che è all’origine del profitto. Nel caso dell’agricoltura, il carattere biologico dell’attività aggiunge un ulteriore elemento di rischio alle decisioni degli imprenditori del settore. In particolare, l’andamento meteorologico durante la stagione colturale ha un ruolo preponderante, e il rischio meteorologico viene definito come la capacità delle aziende di gestire entrate, costi e performance finanziarie sensibili alle condizioni meteorologiche. L’incertezza meteorologica è sempre esistita, ma nel nuovo clima alcuni fenomeni negativi per l’agricoltura hanno aumentato la loro frequenza, mentre altri fenomeni si sono aggiunti alla lista: temperature massima e minima oltre soglie di criticità termica, pioggia massima giornaliera oltre soglie di criticità, vento con intensità al di sopra di soglie di criticità, grandine, fulmini e tempeste elettriche, alluvioni. Inoltre si verificano con più elevata frequenza sfasamenti stagionali, precipitazioni brevi ed intense e si ha un maggiore rischio di gelate tardive. Uno o un insieme di questi fenomeni concorrono, uniti alla frequenza di accadimento, a definire la possibilità di successo dell’agricoltore. In questo contesto l’AIAM propone, per il 22° convegno Nazionale, temi riguardanti lo studio del cambiamento climatico e dei rischi per l’agricoltura, quali sono gli strumenti per la previsione e le strategie per la prevenzione del rischio, e come i servizi agrometeorologici supportano gli agricoltori nella difesa integrata delle colture agrarie

UAV or Drones for Remote Sensing Applications in GPS/GNSS Enabled and GPS/GNSS Denied Environments

The design of novel UAV systems and the use of UAV platforms integrated with robotic sensing and imaging techniques, as well as the development of processing workflows and the capacity of ultra-high temporal and spatial resolution data, have enabled a rapid uptake of UAVs and drones across several industries and application domains.This book provides a forum for high-quality peer-reviewed papers that broaden awareness and understanding of single- and multiple-UAV developments for remote sensing applications, and associated developments in sensor technology, data processing and communications, and UAV system design and sensing capabilities in GPS-enabled and, more broadly, Global Navigation Satellite System (GNSS)-enabled and GPS/GNSS-denied environments.Contributions include:UAV-based photogrammetry, laser scanning, multispectral imaging, hyperspectral imaging, and thermal imaging;UAV sensor applications; spatial ecology; pest detection; reef; forestry; volcanology; precision agriculture wildlife species tracking; search and rescue; target tracking; atmosphere monitoring; chemical, biological, and natural disaster phenomena; fire prevention, flood prevention; volcanic monitoring; pollution monitoring; microclimates; and land use;Wildlife and target detection and recognition from UAV imagery using deep learning and machine learning techniques;UAV-based change detection