Ms. Marisa Gioioso Profile

Marisa Gioioso

at Atmospheric & Environmental Research Inc

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Publications (2)

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Proceedings Article | 8 May 2010 Paper

Use of environmental impacts in sensor scheduling

Peter Shea, Marisa Gioioso, Hilary Snell

Proceedings Volume 7691, 769103 (2010) https://doi.org/10.1117/12.852759

KEYWORDS: Sensors, Environmental sensing, Clouds, Target detection, Sensor performance, Genetic algorithms, Atmospheric sensing, Environmental monitoring, Surveillance, Interference (communication)

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Current surveillance systems operate in a highly dynamic environment in which large numbers of sensors on board multiple platforms must cooperate in order to achieve overall mission success. In an attempt to maximize sensor performance, today's sensors employ rudimentary or, in some cases, inflexible sensor tasking schemes. These approaches are highly tuned to a specific scenario and geometry and are inflexible to changes in the mission, environmental conditions, heterogeneous sensors, and different system architectures. As the complexity of the problem space increases and new sensors become available, it is critical to have a sensor management scheme that is capable of incorporating new environmental knowledge, new sensors and different systems approaches with minimal computational impact on the overall system. Each system should develop an autonomous sensor tasking capability which factors in global concerns within the complete distributed network of platforms and sensors. Moreover, tasking efficiency can be improved by a highly developed understanding of sensor performance at each point in time. This can be achieved by incorporating the impact of problem geometry - sensor location, track object type and view angle - and weather phenomena, such as clouds, aerosols, turbulence and sun glint. This paper describes our approach for simultaneously optimizing sensor resource management, surveillance objectives, and atmospheric transmission of signals while minimizing sensor and environmental noise. Our approach uses a genetic algorithm to evolve a population of sensor tasking assignments through constantly-updating track locations, weather conditions, and lighting conditions. Preliminary studies demonstrate encouraging improvements in sensor management performance. We will present results from our preliminary studies and discuss a path forward for our technology.

Proceedings Article | 30 April 2007 Paper

Pedigree management and assessment in a net-centric environment

Marisa Gioioso, S. Daryl McCullough, Jennifer Cormier, Carla Marceau, Robert Joyce

Proceedings Volume 6578, 65780H (2007) https://doi.org/10.1117/12.720759

KEYWORDS: Sensors, Web services, Databases, Environmental management, Data storage, Defense and security, Analytical research, Reliability, Statistical analysis, Information operations

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Modern Defense strategy and execution is increasingly net-centric, making more information available more quickly. In this environment, the intelligence agent or warfighter must distinguish decision-quality information from potentially inaccurate, or even conflicting, pieces of information from multiple sources - often in time-critical situations. The Pedigree Management and Assessment Framework (PMAF) enables the publisher of information to record standard provenance metadata about the source, manner of collection, and the chain of modification of information as it passed through processing and/or assessment. In addition, the publisher can define and include other metadata relevant to quality assessment, such as domain-specific metadata about sensor accuracy or the organizational structure of agencies. PMAF stores this potentially enormous amount of metadata compactly and presents it to the user in an intuitive graphical format, together with PMAF-generated assessments that enable the user to quickly estimate information quality. PMAF has been created for a net-centric information management system; it can access pedigree information across communities of interest (COIs) and across network boundaries and will also be implemented in a Web Services environment.

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