Ms. Eileen A. Bjorkman Profile

Eileen A. Bjorkman

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Proceedings Article | 6 August 2002 Paper

Smart Sensor Web: experiment #2 results

Eileen Bjorkman, Joseph Mackin, Albert Sciarretta

Proceedings Volume 4741, (2002) https://doi.org/10.1117/12.478710

KEYWORDS: Sensors, Information fusion, Smart sensors, Situational awareness sensors, Environmental sensing, Virtual reality, Video, Defense and security, Information architecture, Weapons

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The Smart Sensor Web (SSW) project was a two year effort sponsored by the Deputy Undersecretary of Defense for Science and Technology (DUSD(S&T)). The vision of the SSW is an intelligent, web-centric distribution and fusion of sensor information that provides greatly enhanced local situational awareness, on demand, to warfighters at lower echelons (battalion/squadron and below). The project examined critical technical issues associated with developing such a system in a joint operational context, including Army, Marine, Air Force and SOF elements. Key constraints in an SSW system include energy, communications bandwidth, latency, and information presentation. This analysis is focused on information generation as far forward as possible to minimize bandwidth requirements and maximize the use of continually improving processing and memory capability. It also focuses on the problem of information fusion and presentation, ensuring that only mission relevant and understandable information is presented to the warfighter. The key mechanism for addressing these concepts is the SSW test bed, a combination of virtual and live assets. Two operational vignettes were used during the second experiment using the test bed: (1) dismounted infantry conducting operations on urban terrain, and (2) the employment of wide-area search munitions such as the Air Force's Low Cost Autonomous Attack System (LOCAAS) in a cooperative attack environment. This paper will focus on the concept for the experiment, some of the key technical issues addressed, the interplay of the simulation methods used, and results from the final live experiment conducted in January 2002.

Proceedings Article | 15 July 2002 Paper

Putting agent-based modeling to work: results of the 4th International Project Albert Workshop

Gary Horne, Eileen Bjorkman, Trevor Colton

Proceedings Volume 4716, (2002) https://doi.org/10.1117/12.474904

KEYWORDS: Data modeling, Systems modeling, Weapons, Sensors, Coastal modeling, Modeling and simulation, Data mining, Reconnaissance, Surveillance, Oceanography

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Project Albert is an initiative of the US Marine Corps which uses a series of new models and tools, multidisciplinary teams, and the scientific method to explore questions of interest to military planners. Project Albert attempts to address key areas that traditional modeling and simulation techniques often do not capture satisfactorily and uses two data management concepts, data farming and data mining, to assist in identifying areas of interest. The current suite of models used by Project Albert includes four agent-based models that allow agents to interact with each other and produce emergent behaviors. The 4th International Project Albert Workshop was held 6-9 August 2001 in Australia. Workshop participants split into five groups, each of which attempted to apply various combinations of the Project Albert models to answer a series of questions in five areas: Control Operations; Reconnaissance, Surveillance, and Intelligence Force Mix; Precision Maneuver; Mission Area Analysis; and Peace Support Operations. This paper focuses on the methodology used during the workshop, the results of the workshop, and a summary of follow-on work since the workshop.

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