Sökning: "Data lifecycle"

Visar resultat 11 - 15 av 233 uppsatser innehållade orden Data lifecycle.

  1. 11. A Comparative Lifecycle Impact Analysis: Assessing Global Warming Potential of Newly Manufactured and Reused Bricks for Building Construction in Sweden

    Master-uppsats, Lunds universitet/Institutionen för arkitektur och byggd miljö; Lunds universitet/Avdelningen för Energi och byggnadsdesign

    Författare :Set Nyi Aung; Srikanth Panda; [2023]
    Nyckelord :Newly manufactured Bricks; Reused Bricks; Lifecycle Impact Assessment; GaBi ts; openLCA; Technology and Engineering;

    Sammanfattning : The aim of the study is to compare the environmental performance in terms of Global Warming Potential (GWP), for reused bricks and newly manufactured bricks used in Swedish Construction Industry. The objective of the study was to compile and conduct Life Cycle Assessment (LCA), in terms of GWP, of newly manufactured and reused clay façade bricks used in Sweden. LÄS MER

  3. 12. Predicting Cross-Platform Performance : A Case Study on Evaluating Predictive Models and Exploring the Economic Consequences in Software Testing

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Författare :Adam Bredfell; Gustav Roll; [2023]
    Nyckelord :cross-platform performance; process innovation; creative destruction; predictive models;

    Sammanfattning : Background: In today's digital world, there is increasing importance on cross-platform performance testing and the challenges faced by businesses in achieving efficient performance for applications across multiple platforms. Predictive models, such as machine learning and regression, have emerged as potential solutions to predict performance to be quickly analyzed, thus eliminating the need to execute an entire environment. LÄS MER

  4. 13. Product Structures with Attribute Management for future PLM systems : A study for Ericsson BOM Management

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :PAWAN RAJ SINGH; [2023]
    Nyckelord :PLM; BOM; PRIM; 3DX; Attribute; Widget; Product Structure; WoW; OOTB; PLM; BOM; PRIM; 3DX; Attribute; Widget; Product Structure; WoW; OOTB;

    Sammanfattning : Information Management in the database system for the Product Development process demands continuous evolution and digital transformation investigations with the PLM systems to explore the latest functionalities. Ericsson today has a main frame PDM system PRIM with various connected sub-systems to store the Product related data which serves limited functionality and does not fully track the complete lifecycle in the IT system landscape. LÄS MER

  5. 14. Produktlivscykeln på en digital marknad

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för handel och företagande

    Författare :Elliot Setterberg; Oliver Thor; [2023]
    Nyckelord :Produktlivscykeln; Produktlansering; Produkt cannibalism; After sale services; Brand equity; Ansoff matrisen; Dataspel;

    Sammanfattning : Att ha en framgångsrik produkt som fortsätter att växa på dagens marknad är komplext. På grund av det stora antalet marknadsföringsstrategier som är tillgängliga för företag som verkar på en global marknad. LÄS MER

  7. 15. Confidential Federated Learning with Homomorphic Encryption

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

    Författare :Zekun Wang; [2023]
    Nyckelord :Cloud Technology; Confidential Computing; Federated Learning; Homomorphic Encryption; Trusted Execution Environment; Molnteknik; Konfidentiell databehandling; Federerad inlärning; Homomorfisk kryptering; Betrodd körningsmiljö;

    Sammanfattning : Federated Learning (FL), one variant of Machine Learning (ML) technology, has emerged as a prevalent method for multiple parties to collaboratively train ML models in a distributed manner with the help of a central server normally supplied by a Cloud Service Provider (CSP). Nevertheless, many existing vulnerabilities pose a threat to the advantages of FL and cause potential risks to data security and privacy, such as data leakage, misuse of the central server, or the threat of eavesdroppers illicitly seeking sensitive information. LÄS MER