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Knowledge Management for Distributed-Tracking (KMDT) is a U.S. Naval research and development project to improve military-communications and information functions in the battle space. These functions include command, control, data fusion, and decision support. It features a scenario for modeling and simulation that shows how knowledge-management technologies, such as ontologies and intelligent agents can improve battle-space awareness and the decisionmaking process in command centers with respect to distributed tracking and threat identification of targets. Data on cross lines of bearings can be acquired from sensors using a secure network. These data and their associated pedigree metadata from multiple platforms in the battle space can be fused to reduce the uncertainty in platform detection, localization, classification and identification (level-one data-fusion object refinement). The pedigree metadata can affect how data are used in fusion tasks.

Studies were conducted to determine if accessory (B) chromosomes, the abnormal tenth (K10) chromosome or the aberrant ratio (AR) phenomenon of maize (Zea mays L.) affect the resistance of the plants to viral infection. Genetically similar stocks of maize with and without these elements were compared to determine what effect they would have on the plants response to Brome Mosaic Virus (BMV), Maize Dwarf Mosaic Virus (MDMV), Wheat Streak Mosaic Virus (WSMV) and Barley Stripe Mosaic Virus (BSMV).—The test results with BSMV were not found to be conclusive. With BMV and MDMV, neither the B orK10 chromosomes were found to alter infections; however, these chromosomes were found to affect the resistance of the plants to WSMV infection. The B chromosomes were found to delay the onset of leaf necrosis by 15%, while the K10 chromosome was found to increase the susceptibility to necrosis by 100%. The AR phenomenon was not found to alter the resistance of maize to BMV infection. However, it was found to increase the susceptibility of maize to MDMV infection by 36% and to decrease the susceptibility of maize to WSMV infection by 92%.

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