1,829 research outputs found
RSS-based robot localization in critical environments using reservoir computing
No full textSupporting both accurate and reliable localization in critical environments is key to increasing the potential of logistic mobile robots. This paper presents a system for indoor robot localization based on Reservoir Computing from noisy radio signal strength index (RSSI) data generated by a network of sensors. The proposed approach is assessed under different conditions in a real-world hospital environment. Experimental results show that the resulting system represents a good trade-off between localization performance and deployment complexity, with the ability to recover from cases in which permanent changes in the environment affect its generalization performance
Case histories of lake-forming landslides in the Dragone valley (Northern Apennines, Italy)
No full textThe Torrent Dragone valley (Province of Modena) is affected by a very high incidence of landslides, due essentially to the dominant presence of argillaceous and shaly soils. This characteristic has always favoured the formation of large-scale landslides along entire slopes, which in some cases have determined the obstruction of the riverbed. Although the persistence of barrier lakes is limited, the risk connected with a sudden evacuation of the basins, where large amounts of water can be stored, should not be underestimated. The data resulting from geomorphological surveys and aerial photo interpretation have led to the identification of the slope portions where slope movements are still active or frequently recurrent and the riverbed more susceptible to the formation of new barrier lakes. The study is completed by investigations on the mineralogical composition of the clayey soils and their geomechanical properties, in order to better understand and assess the kinetic trends of the landslides
Using spatial interpolation in the design of a coverage metric for Mobile CrowdSensing systems
No full textMobile Crowd Sensing (MCS) is an emerging paradigm that exploits the ubiquity of smartphones and cheap sensor devices to collect data and thus contribute to the provision of useful services, especially in the domains of urban life. While many MCS implementations have been proposed for different applications, the lack of common performance metrics means that their efficiency cannot be easily compared. In this paper, we formalize a generic coverage model for the class of MCS systems sampling spatial phenomena before introducing a way to produce one such a metric by exploiting a spatio-temporal estimator. We avail of a large-scale dataset of users' mobility traces to demonstrate the use of the newly introduced metric in informing the resolution of a typical problem in MCS system design
Sensing Interpolation Strategies for a Mobile Crowdsensing Platform
No full textMobile Crowd Sensing (MCS) allows an efficient collection of heterogeneous data over large areas, leveraging on the cooperation of MCS subscribers that offer services on their smartphones to this purpose. However, the coverage that a MCS platform can provide for a given area depends on the availability of subscribers and on their mobility in that area. To guarantee a better coverage, a MCS platform may employ a combination of static and mobile sensors and interpolation strategies that may provide meaningful data for all the area under observation. We discuss how two mechanisms (mixing static and mobile sensors and interpolation) can be combined together by using the large-scale mobility datasets of ParticipAct and the Weather Underground dataset
Conversations with Cabrera: Mauro Guillén
No full textPresented online January 26, 2021, 3:00 p.m.-4:00 p.m.Conversations with Cabrera are unscripted and informal, unearthing leadership’s thinking behind the big ideas taking shape across the Institute and trends likely to define our future. This video series is meant to capture candid conversations between President Ángel Cabrera and thought leaders across Georgia Tech and beyond.Ángel Cabrera, President, Georgia Institute of Technology, Atlanta, GA.Mauro Guillén, Zandman Professor at the Wharton School of the University of Pennsylvania and director of the Penn Lauder Center for International Business Education and Research (CIBER).Runtime: 56:53 minutesPresident Ángel Cabrera in conversation with author and educator Mauro Guillén. They discuss the themes of Guillén's book, 2030: How Today's Biggest Trends Will Collide and Reshape the Future of Everything. Mauro Guillén’s bestselling book 2030 is both a remarkable guide to the coming changes and an exercise in the power of “lateral thinking,” thereby revolutionizing the way you think about cataclysmic change and its consequences
No Europe without Brussels: The Berlaymont Building and the Development of the Léopold Area
No full textEurope and Brussels had a mutual dependency from the founding of the European Communities. This article explores the historic relation between local urban and the transnational development of post-war Europe. It ultimately raises the question to what extent there exists a dialogue between various actors involved to actively design and build the image of Europe in Brussels.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.History, Form & Aesthetic
Between La Tendenza and Neoliberty: Mauro Baracco Goes to Australia
No full textDiscussion of various relationships between Italian postmodern architecture (including works by Aldo Rossi, Gianni Braghieri and Gabetti&Isola), Australian postmodern architecture (including Edmond&Corrigan and Robin Boyd among others), and theoretical and design approach undertaken by the author (Mauro Baracco) as both a practitioner (director of Baracco+Wright Architects, Melbourne) and an academic (Associate Professor in Architecture and Urban Design, RMIT University, Melbourne)
Tyrosinase inhibition organic phase biosensor for triazinic and benzotriazinic pesticide analysis (part two)
No full textSeveral triazine pesticides, such as atrazine, are much more soluble in several organic solvents, such as chloroform, than in water. Our recent research was aimed at analyzing this class of pesticides using tyrosinase OPEE (organic phase enzyme electrodes), exploiting their inhibiting action on the tyrosinase enzyme when operating in water-saturated chloroform medium. In this work we studied the response of a tyrosinase inhibition enzyme sensor to several triazinic (simazine, propazine, terbuthylazine) and benzotriazinic (azinphos-ethyl and azinphos-methyl) pesticides (LOD=0.5x10(-9) mol l(-1)). Recovery trials were also performed in vegetal matrixes (corn, barley, lentils). Lastly, the effect of the solvent (chloroform or water) on the inhibition process was investigated via Hill's equation and the diffusion of analyte from the solvent to the enzyme membrane
Study of toxicity and variation in polyphenol and hydroperoxide content of food oils subjected to thermal stress or used for frying foodstuffs
No full textAn investigation was made of variations over time in the toxicity of extra-virgin olive oil and peanut oil subjected to thermal stress (160-180degreesC) or used to fry potatoes at 160degreesC. In parallel, variations in polyphenol concentration and in that of hydroperoxides were monitored. Measurements were carried out using a suitable toxicity measuring device consisting of an oxygen sensor + yeast cells or enzymatic biosensors, for the phenols and hydroperoxides, respectively
A Software Suite for the Control and the Monitoring of Adaptive Robotic Ecologies
Full text linkAdaptive robotic ecologies are networks of heterogeneous robotic devices (sensors, actuators, automated appliances) pervasively embedded in everyday environments, where they learn to cooperate towards the achievement of complex tasks. While their flexibility makes them an increasingly popular way to improve a system’s reliability, scalability, robustness and autonomy, their effective realisation demands integrated control and software solutions for the specification, integration and management of their highly heterogeneous and computational constrained components. In this extended abstract we briefly illustrate the characteristic requirements dictated by robotic ecologies, discuss our experience in developing adaptive robotic ecologies, and provide an overview of the specific solutions developed as part of the EU FP7 RUBICON Project
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