Fusion architectures

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  • Data fusion is a research area that is growing rapidly due to the fact that it provides means for combining pieces of information coming from different sources/sensors, resulting in ameliorated overall system performance (improved decision making, increased detection capabilities, diminished number of false alarms, improved reliability in various situations at hand) with respect to separate sensors/sources.

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  • Tham khảo sách 'image fusion and its applications edited by yufeng zheng', công nghệ thông tin, kỹ thuật lập trình phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Tham khảo sách 'sensor and data fusion_1', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • All eukaryotic topoisomerase I enzymes are monomeric enzymes, whereas the kinetoplastid family (TrypanosomaandLeishmania) possess an unusual bisubunit topoisomerase I. To determine what happens to the enzyme architecture and catalytic property if the two subunits are fused, and to explore the functional relationship between the two subunits, we describe herein vitro gene fusion of Leishmaniabisubunit topoisomerase I into a single ORF encoding a new monomeric topoisomerase I (LdTOPIL-fus-S).

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  • As part of Oracle Fusion Middleware, the components of Oracle SOA Suite enable you to build, deploy and manage Service-Oriented Architectures (SOA), and can be used as the glue to integrate your applications whilst moving your enterprise towards a service oriented future. The recipes in "Oracle SOA Suite 11g Developer's Cookbook" will provide you with a solid foundation for your SOA Suite implementation ensuring its efficiency and reliability.

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  • MULTISENSOR ARCHITECTURES AND ERROR PROPAGATION The purpose of this chapter is to extend the data acquisition error analysis of the preceding chapters to provide understanding about how errors originating in multisensor architectures combine and propagate in algorithmic computations. This development is focused on the wider applications of sensor integration for improving data characterization rather than the narrower applications of sensor fusion employed for data ambiguity reduction.

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