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4 results on '"Giovanni Fusco"'

1. A Tangible Block Editor for the Scratch Programming Language

Author

Dianne T. V. Pawluk, Bryson Goolsby, Giovanni Fusco, and Hyunwoo Kim

Subjects
Structure (mathematical logic), Syntax (programming languages), business.industry, Computer science, Programming language, 05 social sciences, Computer programming, 020207 software engineering, 02 engineering and technology, Operand, Grid, computer.software_genre, Block (programming), Scratch, 0202 electrical engineering, electronic engineering, information engineering, Key (cryptography), 0501 psychology and cognitive sciences, business, computer, 050107 human factors, computer.programming_language
Abstract

We describe the early-stage development of a tangible block editor for the educational programming language Scratch that is intended to contribute to an environment that will allow blind and visually impaired (BVI) students (grades 6-12) to learn computer programming concepts alongside their sighted peers (both independently and in pairs) in mainstream classrooms. In this late breaking work, we describe our design that incorporates many of the key strategies of the Scratch visual code editor meant to promote engagement and lower hurdles to programming. Novel key elements of the design include: the strategic use of magnets and locally interlocking block edges to ensure only blocks with valid syntax can be connected, the use of telescoping tubing to specify parameter/operand location and allow their expansion for nested expressions and a block-sized-channel grid work surface that provides structure to aid BVI students in navigating and manipulating their programs.

Published
2021
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2. Indoor localization for visually impaired travelers using computer vision on a smartphone

Author

Giovanni Fusco and James M. Coughlan

Subjects
Computer science, business.industry, Visually impaired, Visual impairment, Information sign, Space (commercial competition), Article, Inertial measurement unit, Feature (computer vision), medicine, Global Positioning System, Computer vision, Artificial intelligence, medicine.symptom, business, Sensory cue
Abstract

Wayfinding is a major challenge for visually impaired travelers, who generally lack access to visual cues such as landmarks and informational signs that many travelers rely on for navigation. Indoor wayfinding is particularly challenging since the most commonly used source of location information for wayfinding, GPS, is inaccurate indoors. We describe a computer vision approach to indoor localization that runs as a real-time app on a conventional smartphone, which is intended to support a full-featured wayfinding app in the future that will include turn-by-turn directions. Our approach combines computer vision, existing informational signs such as Exit signs, inertial sensors and a 2D map to estimate and track the user’s location in the environment. An important feature of our approach is that it requires no new physical infrastructure. While our approach requires the user to either hold the smartphone or wear it (e.g., on a lanyard) with the camera facing forward while walking, it has the advantage of not forcing the user to aim the camera towards specific signs, which would be challenging for people with low or no vision. We demonstrate the feasibility of our approach with five blind travelers navigating an indoor space, with localization accuracy of roughly 1 meter once the localization algorithm has converged.

Published
2020
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3. A new urban segregation-growth coupled model using a belief-desire-intention possibilistic framework

Author

Célia da Costa Pereira, Giovanni Fusco, José Tiberio Hernández, Meili Vanegas-Hernandez, Andrea G. B. Tettamanzi, Diego A. Moreno, Michel Riveill, Universidad de los Andes [Bogota] (UNIANDES), Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Études des Structures, des Processus d’Adaptation et des Changements de l’Espace (ESPACE), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Web-Instrumented Man-Machine Interactions, Communities and Semantics (WIMMICS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), ECOS-Nord TOMSA (Transport Oriented Modeling for urban denSification Analysis) Project, Amit P. Sheth, Axel Ngonga, Yin Wang, Elizabeth Chang, Dominik Ślęzak, Bogdan Franczyk, Rainer Alt, Xiaohui Tao, Rainer Unland, Université Nice Sophia Antipolis (1965 - 2019) (UNS), and COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)

Subjects
050402 sociology, Computer science, Belief desire intention, computer.software_genre, Track (rail transport), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Intelligent agent, Agent-Based Modeling, Sociology, 0504 sociology, Simple (abstract algebra), 0502 economics and business, Urban Segregation, Geosimulation, 050207 economics, Agent / discrete models, Possibility theory, Spatial contextual awareness, business.industry, 05 social sciences, [SHS.GEO]Humanities and Social Sciences/Geography, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Visualization, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], BDI Agent Model, Applied computing Economics, Artificial intelligence, Computing methodologies : Intelligent agents, business, computer
Abstract

International audience; We study the feasibility of using Belief, Desire and Intention agents for modeling the phenomena of urban growth and segregation. Uncertainty, typical of real world situations is modeled using possibility theory. We have also implemented a simple visualization tool whose aim is to track the changes in the model. Some preliminary experiments suggest that such an approach might allow a decision-maker to dynamically track the changes in the model. Besides, it is also possible to interact with the different steps of the simulation via the model. Our proposal makes it possible to simulate the interactions between cognitive agents in an economical environment while taking the spatial context into account.

Published
2017
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4. Social Specialization of Space: Clustering Households on the French Riviera

Author

Giovanni Fusco, Cristina Cao, Mathieu Serrurier, Célia da Costa Pereira, Denis Pallez, Aix-Marseille Université - AMU (FRANCE), Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Université Nice Sophia Antipolis (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), Politecnico di Milano (ITALY), Université d'Avignon et des Pays de Vaucluse (FRANCE), Institut de Recherche en Informatique de Toulouse - IRIT (Toulouse, France), Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Argumentation, Décision, Raisonnement, Incertitude et Apprentissage (IRIT-ADRIA), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Department of Biology, Universita degli Studi di Padova, Department of Biomedical, Industrial and Human Factors Engineering, Wright State University, and Institut National Polytechnique de Toulouse - INPT (FRANCE)

Subjects
Logique en informatique, NSGA-II, Metropolitan Areas, Informatique et langage, [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], Space (commercial competition), Intelligence artificielle, Metropolitan area, Metropolitan areas, Apprentissage, Simulated annealing, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Social group, Riviera, Geography, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Specialization (functional), Genetic algorithm, Econometrics, Simulated Annealing, Cluster analysis, Simulation
Abstract

International audience; The aim of this paper is to estimate the extent of social specialization of residential space within the French Riviera metropolitan area. Unlike classical approaches, where social groups are pre-defined through given characteristics of households, our approach determines clusters of households inductively. Socio-demographic characteristics of households are thus measured through 16 different indicators. Clustering is then carried out through the optimization of two distinct criteria. Simulated annealing, simple and multi-objective Genetic Algorithm were adapted for this purpose and has produced pertinent results.

Published
2015
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