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Trace: • 19.01.2026 • 05.03.2022 • 13.08.2025 • 06.05.2024
06.05.2024

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<html> <div style=“font-size:xx-large; font-weight: 900;”>06.05.2024 Montag</div> </html>

Kalender, Mai, KW19

Appointments

  • None

Health

  • - Exercises
    • - Rücken
      • - Morgens
      • - Abends
    • - Augen
      • - Morgens
      • - Abends
    • - Zunge
      • - Morgens
      • - Abends
    • - Pr
      • - Morgens
      • - Abends

Tasks for the day

  • - datachecker
    • - make a Transformer for “Blockdistanz” (see “1.2 Blockdistanz / Einstau Sonde”)
      • - implement HadSlopeMarkerTransformer
        • - implement slopes
          • - to previous point
          • - to next point
        • - mark negative slopes
        • - mark positive slopes
        • - mark points between negative and positive slope
      • - implement ReplaceValuesWithinEntlastungEventUDF
        • - decide whether the given point is valid or not
          • - mark points with
            • - “hasNegativeSlopeInPast”
              • see lastNegativeSlope
            • - “hasPositiveSlopeInFuture”
              • see lastPositiveSlope
              • Idea: use “SORT BY timestamp DESC”
          • - use gradient (as first solution) ⇒ GradientBasedBlankingDistanceDataTransformer
            • - check how gradient can be calculated
              • proposal 1:
                • if (start point is near of the maxValue)
                  • if(t2-t1 < X min)
                    • if(slope > 0 && slope > maxSlope)
                      • ⇒ mark as “probableBlockingDistance”
              • proposal 2 (older?):
                • if (start point is near of the maxValue)
                  • if(there was a slope with “speed” ⇐ maxSpeed)
    • - optimize building
      • set jar to “target” of sparktest
    • - create a new project for transformers
    • - test “1.1. Einfache Ausreißer”
      • test data is in /home/vkalaschnikow/Desktop/buero/Entwicklung/Plausibilitätsprogramm/Beispiele Messfehler Datenlücken
    • - implement a graph for our data
      • - find out which graph libs exist
      • - decide how to handle “big data problem”
        • - find out which solutions exist
        • - implement 2-3 options
    • - “data gaps analysis” → SparkTester.getStatsAboutMultipleIntervals()
    • - Apache Spark
      • - check statistics possibilities
      • - check reporting possibilities
  • - rdconverter
    • - write a “User Guide” for rdconverter
    • - make a small “Project Developer Guide”
    • - Clean up
      • - nuertingen
        • - use “data/in” as input directory
        • - use “vars” directory for configs
      • - nagold
        • - use “data/in” as input directory (make use of recursion!)
        • - check what can be done additionally
    • - extend documentation
      • - CsvPreprocessor
  • - Anleitung für neue Mitarbeiter
  • - Acron kennenlernen
    • - Acron-Anleitung.docx
    • - Beschreibung Datentransfer.docx
    • Projekte zur Einarbeitung
      • SES
      • Sindelfingen Q3 2023
      • Aalen Q3 2023
  • …
  • …
  • …
  • - DWA-M 151
    • - Entry Part 5 into my wiki
    • - Summarize Part 6

Task pool

  • - make a plan for Avril
    • - development
    • - sales and marketing

Goals for the week

06.05.2024.txt · Last modified: by kalaschnikow