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Moti Abu & Roee Ben Halevi

Smart Data Selector. Moti Abu & Roee Ben Halevi. Supervisors: Prof. Mark Last, Mr. Hanan Friedman. Telemetry. Velocities Vibrations Pressures. Bit Errors. Main-objectives:.

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Moti Abu & Roee Ben Halevi

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  1. Smart Data Selector Moti Abu & Roee Ben Halevi Supervisors: Prof. Mark Last, Mr. Hanan Friedman

  2. Telemetry Velocities Vibrations Pressures Bit Errors

  3. Main-objectives: • The goal of this project is to develop an advanced, generic offline data selector that will receive N streams of data and output an integrated stream which reconstructs the real data in the best way possible. • The system that will be implemented is a generic offline SDS that will support multiple inputs including post integration of late inputs. • Sophisticated algorithms for selecting and correcting raw data and allow the user utilizing self-written algorithms. • The system output will provide valuable statistical information that can be used by professionals for better understanding of the process that generated the data.

  4. Current Project Status: • • Literature review. • • System characterization. • • ARD. • • Defining a set of real and synthetic benchmarks that will be used to test the system. • • Defining quality measurements that will be used to evaluate the benchmarks. • Detailed  UML. • • Working prototype – including unit testing .

  5. Prototype GUI

  6. Future aspects Complete ADD Final testing of prototype GUI design and implementation Distributed functionality Write complicated algorithms Statistical tests

  7. Algorithm: - BitVoting. -Pattern recognition . -User Algorithm. Station B Origin data 1 0 0 1 0 1 0 1 0 0 1 0 1 0 1 1 0 1 0 1 0 1 0 0 1 0 0 0 1 0 0 1 0 1 0 BitVote Station A Station C

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