Sökning: "Personal names"

Visar resultat 21 - 25 av 63 uppsatser innehållade orden Personal names.

  1. 21. Minskning av kvalitetsbrister i rullagertillverkning – en studie vid SKF Göteborg

    M1-uppsats, KTH/Hållbar produktionsutveckling (ML)

    Författare :Julia Ye Årfelt; Andreas Yousef; [2019]
    Nyckelord :Non-quality; roller bearing; defect code; defect type; scrap rework; Kvalitetsbrist; rullager; kassationskod; kassationstyp; kassation omarbete;

    Sammanfattning : SKF interndatasystem innehåller produktionsdata som har samlats i operatörsrapporter. En av kategorierna i dessa rapporter – Kassationer & Omarbete - är direkt relaterad till kvalitetsbrister. I nuläget är denna data inte använd för något specifikt ändamål. LÄS MER

  3. 22. Berika receptdata med innehållshanteringssystem

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Nikita Berezkin; Ahmed Heidari; [2019]
    Nyckelord :CMS; parsing; data; ingredients; affix; recipe; CMS; parsing; data; ingredienser; affix; recept.;

    Sammanfattning : The problem today is that people do not eat climate-smart food; this results in that the food will not suffice, and what we eat may harm the greenhouse effect. The problem is that people do not have the time or knowledge to cook climate-smart food. A solution is to use a Content Management System (CMS). LÄS MER

  4. 23. A Step Toward GDPR Compliance : Processing of Personal Data in Email

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

    Författare :Linnea Olby; Isabel Thomander; [2018]
    Nyckelord :Information extraction; named entity recognition; machine learning; binary logistic regression; GDPR; code of conduct;

    Sammanfattning : The General Data Protection Regulation enforced on the 25th of may in 2018 is a response to the growing importance of IT in today’s society, accompanied by public demand for control over personal data. In contrast to the previous directive, the new regulation applies to personal data stored in an unstructured format, such as email, rather than solely structured data. LÄS MER

  5. 24. Enhancing user interactions with a music system for public displays : Identifying appropriate ways to personalize content and interactions with a shared music system in public places

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Kevin Stenmark; [2018]
    Nyckelord :Personalize; public display; shared music system; user interactions; user engagement; enhancing user interactions;

    Sammanfattning : This thesis investigates which type of user-related/-generated, personal, information is appropriate to share on an interactive public display in a public environment, e.g., user’s names and images, as a mean to enhance interactions with public display applications. LÄS MER

  7. 25. Genomsökning av filsystem för att hitta personuppgifter : Med Linear chain conditional random field och Regular expression

    Kandidat-uppsats, Mittuniversitetet/Avdelningen för informationssystem och -teknologi

    Författare :Gabriel Afram; [2018]
    Nyckelord :GDPR; Linear chain conditional random field; Machine learning; Stanford NER; Precision; Recall; F-score; Regular expression; GDPR; Linear chain conditional random field; Maskininlärning; Stanford NER; Precision; Recall; F-score; Regular expression;

    Sammanfattning : The new General Data Protection Regulation (GDPR) Act will apply to all companies within the European Union after 25 May. This means stricter legal requirements for companies that in some way store personal data. The goal of this project is therefore to make it easier for companies to meet the new legal requirements. LÄS MER