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1. Multidisciplinary Investigations on the Byzantine Oratory of the Catacombs of Saint Lucia in Syracuse

Author

Mariarita Sgarlata, Carmelo Scandurra, Mariateresa Galizia, Antonino Cosentino, Samantha Stout, and Cettina Santagati

Subjects
Laser Scanning, media_common.quotation_subject, Multidisciplinary study, Art history, 3d model, 01 natural sciences, Multidisciplinary approach, 0103 physical sciences, BR Christianity, Digital Cultural Heritage, worship places, DG Italy, Saint Lucia, media_common, D111 Medieval History, NK Decorative arts Applied arts Decoration and ornament, 010304 chemical physics, Technical Photography, 010401 analytical chemistry, Catacombs, Laser Scanning, Digital Cultural Heritage, worship places, portable X-ray Fluorescence Spectroscopy, Technical Photography, Q Science (General), Art, CC Archaeology, Catacombs, Archaeology, 0104 chemical sciences, Palimpsest, Fresco, portable X-ray Fluorescence Spectroscopy, Byzantine architecture
Abstract

This paper presents the outcomes of a multidisciplinary study conducted on the fresco palimpsest of the byzantine oratory (region C) of the Catacombs of Saint Lucia in Syracuse. The 3D model was integrated with data from investigations made with portable X-ray Fluorescence Spectroscopy (pXRF), and Technical Photography (TP), in order to obtain a unified representation of the knowledge acquired. The different layers of the frescoes present in the palimpsest could then be individually identified and characterized using the data extracted from the model. The arcosolium examined here is an illustrative case study characterized by clear artistic and archaeological stratifications.

Published
2016

2. Study of Migration Policies in Energy-Aware Virtual Router Networks

Author

Mostafa H. Ammar, E. Miucci, and Vincenzo Eramo

Subjects
Internet, green networking, business.industry, Computer science, Distributed computing, Quality of service, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Process (computing), Control reconfiguration, Energy consumption, virtual router migration, power saving, Markov decision process, Computer Science Applications, Modeling and Simulation, The Internet, Electrical and Electronic Engineering, Layer (object-oriented design), business, Energy (signal processing), Computer network
Abstract

The definition of a virtual router layer allows the application of energy saving techniques based on the migration of virtual routers within the physical infrastructure as traffic conditions change. As traffic decreases, physical resources can be vacated through virtual router migration, thus, saving energy. Such resources can be reclaimed if needed because of traffic increase. Unfortunately, the migration of virtual routers involves reconfiguration costs depending on implementation details and characterized, for instance, by the revenue loss due to quality-of-service (QoS) degradation during the migration process. In this paper, we propose a methodology based on the Markov decision processes for the evaluation of optimal migration policies taking into account both the operation (in terms of energy consumption) and reconfiguration costs.

Published
2014

3. MAV indoor navigation based on a closed-form solution for absolute scale velocity estimation using Optical Flow and inertial data

Author

Giuseppe Loianno, Vincenzo Lippiello, Bruno Siciliano, Lippiello, Vincenzo, Loianno, Giuseppe, and Siciliano, Bruno

Subjects
0209 industrial biotechnology, Inertial frame of reference, business.industry, Computer science, UAV, Feature extraction, Optical flow, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Mobile robot, Robotics, 02 engineering and technology, Computer Science::Robotics, 020901 industrial engineering & automation, Optical Flow, Omnidirectional camera, Depth map, Obstacle avoidance, 0202 electrical engineering, electronic engineering, information engineering, Trajectory, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, business, Absolute scale
Abstract

A new vision-based obstacle avoidance technique for indoor navigation of Micro Aerial Vehicles (MAVs) is presented in this paper. The vehicle trajectory is modified according to the obstacles detected through the Depth Map of the surrounding environment, which is computed online using the Optical Flow provided by a single onboard omnidirectional camera. An existing closed-form solution for the absolute-scale velocity estimation based on visual correspondences and inertial measurements is generalized and here employed for the Depth Map estimation. Moreover, a dynamic region-of-interest for image features extraction and a self-limitation control for the navigation velocity are proposed to improve safety in view of the estimated vehicle velocity. The proposed solutions are validated by means of simulations.

Published
2011