Sökning: "data logg"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden data logg.

  1. 1. Supervised Failure Diagnosis of Clustered Logs from Microservice Tests

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Amanda Strömdahl; [2023]
    Nyckelord :Supervised Learning; Failure Diagnosis; Clustered Log Data; Random Forest; SVM; MLP; Övervakad inlärning; feldiagnos; klustrad logg-data; Random Forest; SVM; MLP;

    Sammanfattning : Pinpointing the source of a software failure based on log files can be a time consuming process. Automated log analysis tools are meant to streamline such processes, and can be used for tasks like failure diagnosis. This thesis evaluates three supervised models for failure diagnosis of clustered log data. LÄS MER

  3. 2. Passformsanalys av återanvändbara sanitetsbindor : en subjektiv upplevelse präglad av byxan

    Kandidat-uppsats, Högskolan i Borås/Akademin för textil, teknik och ekonomi

    Författare :Anna Lee; [2022]
    Nyckelord :Menstrual products; menstrual sanitary pad; fit; comfort; assessment; product development; Mensskydd; binda; passform; komfort; utvärdering; produktutveckling;

    Sammanfattning : God passform är en subjektiv bedömning och definieras av varje enskild individ. Subjektiva upplevelser är präglade av individens egna känslor, erfarenhet och preferenser. LÄS MER

  4. 3. How to Improve a Planning System and Workflow in a Quality Control Laboratory : A Case Study at Fresenius Kabi in Sweden

    Master-uppsats, KTH/Industriell ekonomi och organisation (Inst.); KTH/Industriell produktion

    Författare :Nejra Eminovic; Rana Tajik; [2021]
    Nyckelord :Fresenius Kabi; QC; lab efficiency; WFM; planning; scheduling; Fresenius Kabi; QC; effektivitet; WFM; planering; schemaläggning;

    Sammanfattning : Laboratories within quality control are very complicated to schedule due to the high product mix and diversified products tested with many different analysts and instruments. Thus, it requires a flexible planning system to change and improve the overall lab performance and increase efficiency. LÄS MER

  5. 4. Identifying New Fault Types Using Transformer Embeddings

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Mikael Karlsson; [2021]
    Nyckelord :Transformer Models; Clustering; Embeddings; Deep Learning; Fault Identification; Transformatorbaserade modeller; Klustering; Djupinlärning; Felidentifiering;

    Sammanfattning : Continuous integration/delivery and deployment consist of many automated tests, some of which may fail leading to faulty software. Similar faults may occur in different stages of the software production lifecycle and it is necessary to identify similar faults and cluster them into fault types in order to minimize troubleshooting time. LÄS MER

  7. 5. Hudi on Hops : Incremental Processing and Fast Data Ingestion for Hops

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Netsanet Gebretsadkan Kidane; [2019]
    Nyckelord :Hudi; Hadoop; Hops; Upsert; SQL; Spark; Kafka; Hudi; Hadoop; Hops; Upsert; SQL; Spark; Kafka;

    Sammanfattning : In the era of big data, data is flooding from numerous data sources and many companies have been utilizing different types of tools to load and process data from various sources in a data lake. The major challenges where different companies are facing these days are how to update data into an existing dataset without having to read the entire dataset and overwriting it to accommodate the changes which have a negative impact on the performance. LÄS MER