Geoff A. Gross

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Historically, data fusion has focused on processing hard or physical sensor data while soft or human observed data has been neglected within fusion processes. This human observed data has much to offer towards obtaining comprehensive situational awareness, particularly in a domain such as intelligence analysis where subtle connections and interactions are(More)
In conventional warfare as well as counter-insurgency (COIN) operations, the understanding of the situation is extremely vital to assure a sense of security. Intelligence in COIN is about people, and deployed units in the field are the best sources of intelligence. Past and present intelligence data is analyzed to look for changes in the insurgents'(More)
In traditional data fusion hard physical sensor data has been the main source of information. This has changed during the past decade, under the backdrop of counter insurgency (COIN). In the COIN environment the majority of information comes from human sources (soft data). The source of this information can be human informants or soldiers conducting(More)
must be considered by human analysts. These benefits are expected to translate into a reduction of the overall cognitive workload facing human analysts in situations where they are tasked with developing and maintaining situational awareness. 1 INTRODUCTION Data fusion systems have traditionally focused on assessing and associating incoming data from arrays(More)
The area of hard+soft fusion is a relatively new topic within the information fusion community. One research effort which has confronted the subject of hard+soft fusion is the Multi-disciplinary University Research Initiative (MURI) titled “Unified Research on Network-based Hard+Soft Information Fusion”. Developed on this program is a fully(More)
Intelligence analysis in a counter-insurgency (COIN) environment requires the consideration of many sources of information which are continuously reporting on the current state of the world. Methods to incorporate the uncertainties present in these sources of information have been identified and implemented within a graph matching algorithm, which provides(More)
The formation and behaviour of micelles of sodium dodecylsulfate in water by use of a static micro mixer were studied. Trisbipyridylruthenium(II) was applied as indicator dye, 9-methylanthracene was used for fluorescence quenching. All experiments were carried out by a micro fluid arrangement with three syringe pumps, a 2+1 two-step static micro mixer (IPHT(More)