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Advanced Offline Data Selector for Stream Integration and Analysis

This project aims to develop an advanced, generic offline data selector capable of processing multiple data streams and producing an integrated output that accurately reconstructs original data. The system includes sophisticated algorithms for selecting and correcting raw data, allowing users to implement their self-written algorithms. By providing valuable statistical information, the system enables professionals to better understand the processes generating data. Current progress includes literature review, system characterization, defining benchmarks, quality measurements, and developing a working prototype with a graphical user interface.

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Advanced Offline Data Selector for Stream Integration and Analysis

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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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