Sökning: "error reporting"
Visar resultat 21 - 25 av 58 uppsatser innehållade orden error reporting.
21. To see or not to see the error of one´s ways : Consciousness and the Error-Related Negativity
Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : The error-related negativity (ERN) is a widely-used electrophysiological measure of error processing in the brain. Whether the ERN supports conscious awareness of erring has yet to be determined. LÄS MER
22. Sjuksköterskors erfarenheter av hinder vid avvikelserapportering : En allmän litteraturstudie
Kandidat-uppsats, Högskolan i Halmstad/Akademin för hälsa och välfärdSammanfattning : Avvikelserapportering är en viktig del i sjuksköterskors arbete för att upptäcka brister inom verksamheten som kunnat medföra vårdskada och onödigt lidande för patienten. Trots regler och riktlinjer kring avvikelserapportering beslutar sjuksköterskor vid vissa tillfällen att inte rapportera en avvikelse. LÄS MER
23. A case study in consolidating the loss structure of different manufacturing sectors under lean context
Master-uppsats, Lunds universitet/ProduktionsekonomiSammanfattning : In the light of lean methodology, World Class Manufacturing requires continuous improvement in analyzing the losses to eliminate the wasteful resources and to boost the overall productivity. However, the standardized loss structure should be well-balanced to be general enough to cover the whole manufacturing procedure while being specific enough to point out the real issues happening for further improvement. LÄS MER
24. Case Data Analysis Tool for PowerFLOW
Master-uppsats, KTH/FlygdynamikSammanfattning : The field of computational fluid dynamics (CFD) is exponentially growing in terms of performance, robustness, and applications. The expansion of CFD also means more users and more simulations, which translates into more human errors and mistakes in the simulation set up. LÄS MER
25. Large scale congurable text matching for detection of log changes and anomalies
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : Manually analysing logfiles is a very time consuming and error-prone effort. By developing a system to automatically analysing the logfiles it is possible to both increase the speed and accuracy of the analysis. This thesis presents a method for automatic anomaly detection in logfiles using statistical analysis and threshold based classification. LÄS MER