G. Radice

New York University

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Co-Authors

Massimiliano Vasile

University of Strathclyde

Joan-Pau Sanchez Cuartielles

Institut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO)

G. Galluzzo

D. Biamonti

Simone D’Amico

Stanford University

Sergio De Florio

University of Glasgow

A. Lawal

I Ali

Alsalam University College

Yoshinori Sugimoto

Hitachi (Japan)

Mirvatte Francis

Gooch & Housego (United Kingdom)

Cooperative Institutions

University of Glasgow

European Space Research and Technology Centre

Politecnico di Milano

Consejo Nacional de Investigaciones Científicas y Técnicas

University of Strathclyde

European Space Agency

Instituto de Efectividad Clínica y Sanitaria

University of Milan

University of Surrey

Texas A&M University

Author Statistics

Papers

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Research Field

Cooperative control for satellite formation reconfiguration via cycle pursuit strategy

G. Radice Tao Yang W. Zhang

Control reconfiguration

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Citations (0)

Design in the multi-spacecraft swarms for deflection of apophis by solar sublimation

Christie Maddock Massimiliano Vasile Colin R. McInnes G. Radice Leopold Summerer

Sublimation

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Citations (1)

Image selection algorithm for GMES mission

Stuart Grey G. Radice Massimiliano Vasile Joachim Fuchs Q. Wisjnands

This paper outlines the user interface and image selection algorithm developed as part of the multi agent system segment of the Global Monitoring for Environment and Security (GMES) European Space Agency mission. The objective of GMES is to pull together and rationalise all the information obtained by environmental satellites, air and ground stations to provide a comprehensive picture of the health of Earth for both environmental and security purposes. A multi-agent, system (MAS) is being developed to coordinate and integrate the many types of data sources, specifically the multiple different classes of Earth monitoring satellites including both planned missions and satellites currently in operation. This paper presents the development of an image selection algorithm and associated user interface for requesting images of the Earth from the heterogeneous satellite constellation. When a user request is made it is sent to the MAS. specifically the image broker agent where bids from the agents responsible for each satellite are received. The image selection algorithm is designed to assess each of these bids and to display the images that most closely match the users' criteria. A key problem solved by this algorithm is the case when there are no images that meet the user requirements. In this ease the algorithm suggests to the user where constraints and variables could be relaxed to allow a valid image to be produced. This step is separate from the initial ranking of the images for the user and is carried out, using a global optimisation approach. The user interface and image selection algorithm allow a user to easily request images from the system without any prior knowledge of coverage and satellite capabilities and occurs in near real time, offering a substantial improvement over current systems and helping to maximise the benefits offered by using a MAS. This improvement in the response time for requests enhances effectiveness in time critical events such as disaster response and environmental monitoring. The accessibility of the system will also allow small stake holders access to as little or as much targeted data as they require increasing the uptake and use of the data already gathered.

Interface (matter)

Earth observation

Earth observation satellite

Selection algorithm

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GIOVE-B Navigation Message Performance Analysis and Signal in Space User Ranging Error (SISRE) Characterization

Proceedings of the 22nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2009) (2009)

G. Galluzzo M. Sánchez-Gestido Francisco Gonzalez S. Binda G. Radice

Ranging

SIGNAL (programming language)

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Citations (2)

Flight Results from the Autonomous Navigation and Control of Formation Flying Spacecraft on the Prisma Mission

Sergio De Florio G. Radice Simone D’Amico J.-S. Ardaens

Mission control center

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Citations (5)

A network of equatorial ground segment for colelction, dissemination and archiving of data from a constellation of leo semi-active interferometric sar satellites

A. Lawal G. Radice

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Citations (0)

Active control of spacecraft formation for NEO deflection

G. Radice P. Bonora Massimiliano Vasile

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Development, implementation and integration of key performance indicators within the GIOVE mission segment

G. Galluzzo G. Radice M. Gandara S. Binda

The Giove Mission Segment (GIOVE-M), part of the Galileo In-Orbit Validation (IOV) risk mitigation program, is supported by a ground infrastructure comprising the Giove Processing Centre (GPC) located at ESTEC and a worldwide network of Galileo Experimental Sensor Stations (GESSs). The GPC supports the data collection from the GESSs and the near real-time processing and uploads of the Navigation Messages through the Ground Control Centres. The space element of the GIOVE-M consists of the GIOVE-A and GIOVE-B satellites. One of the fundamental functions of the Giove Processing Centre is to continuously monitor its system and processing functions as well as the quality of the collected data from the GESS network to ensure uninterrupted Operations and quality of the services provided to the GIOVE-M experimenters. Following the recent launch of GIOVE-B a number of upgrades to the GIOVE-M infrastructure have been required to support the expected experimentation and risk mitigation activities. In particular the GPC is being upgraded to implement new capabilities to generate and report on a set of Key Performance Indicators to continuously measure the quality of the GPC processing. The Key Performance Indicators (KPI) cover the areas of the Navigation Message performances including the Orbit Determination and Time Synchronization (OD&TS) processing performances, the Orbits and Clock prediction accuracy, the Experimental Galileo to GPS Time Offset (EGGTO) determination and prediction accuracy, the Broadcasted Group Delay (BGD) stability and the input data latency and completeness for the OD&TS processing. The KPI will also cover the Experimental GIOVE System Time (EGST) stability, the Intersystem Bias and the delay and validity of the generated and received Navigation Messages. The Key Performance Indicators are generated by a software tool developed on a dedicated Giove Processing Centre facility. The present paper describes the initial design and subsequent development of the Key Performance Indicators tool. Initial results of this as well as the configuration, statistics and reporting capabilities of the tool are also presented. The issues, limitations, advantages and strategies that have been adopted to critically evaluate the Key Performance Indicators over the near real-time GPC processing are also discussed. The paper concludes by reporting on the major interest of the KPI tool with regards to the future Galileo operations in particular in terms of consolidation of the mission support facilities needs.

Galileo (satellite navigation)

Upload

Data Processing

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Citations (0)

Lunar Net Lander: Orbital Analysis

Mirvatte Francis D. Biamonti A. Mccall G. Radice

Net (polyhedron)

Orbital mechanics

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Avionics Compartment Fire Extinguishing on the Commercial Airplanes

Journal of Aeronautics & Aerospace Engineering (2017)

Behbahani pour MJ G. Radice

In all commercial and non-commercial airplanes, there is no fire detection or fire extinguishing system in the avionics bay.Racks, are cooled by ambient or conditioned air.Each rack will include several circuit boards, which in case of overheat, can burn with the risk of igniting the surrounding components and structures, thus jeopardizing flight safety.It becomes therefore important to provide fire detection and fire extinguishing capabilities in the aircraft avionics compartment.The approach proposed in this paper, extracts nitrogen from ambient air by mean of the Air Separator Module, then nitrogen is routed to the avionics compartment racks, and enters inside the component and extinguishes the fire.The temperature of the nitrogen is adjusted to be around 25°C to prevent thermal shock effects on the circuit boards before being injected in the avionics compartment.A series of experiments conducted, aimed at gathering information by using dry nitrogen under different pressure values to extinguish different size of fire.The analysis of the experiment research showed that increasing nitrogen pressure, resulted in quicker extinguishing time.This is because nitrogen under higher pressure, quickly decrease the oxygen concentration in the air for the fire already in the process of combustion.Nitrogen does not conduct electricity thus cause no short circuits during and after the extinguishing process, therefore, they are ideal for use in the electronic systems.

Compartment (ship)

10.4172/2168-9792.1000188

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