Sökning: "Key-value"

Visar resultat 1 - 5 av 71 uppsatser innehållade ordet Key-value.

  1. 1. Buildings in the Digital Era : An Explorative Study of Digital Twins in the Built Environment

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

    Författare :Siw Kristine Kästel; Joanna Wallén; [2024]
    Nyckelord :Digital Twin DT ; Arcitecture; Engineering and Construction AEC industry; Digitization; Building Information Modeling BIM ; Facility Management FM ; Operation Management O M ; Digital Tvilling; Fastighetsbranschen; Fastighetsförvaltning; Byggnadsinformationsmodeller BIM ;

    Sammanfattning : In recent years, digital twins (DT) have gained traction in enhancing operation and maintenance procedures across various industrial sectors, such as manufacturing, energy, and aerospace. Yet their utilization remains more limited in the built environment. LÄS MER

  3. 2. RocksDB Read Optimization Strategies for Streaming Applications

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

    Författare :Björkman Fredrik; [2023]
    Nyckelord :RocksDB; Data streams; Micro-batching; Data stream processing; read operation benchmark; Data stream workload simulation; RocksDB; Dataströmmar; Mikro-batching; Dataströmsprocessering; Läsoperationsmätresultat; Dataströmsarbetsbelastningssimulation;

    Sammanfattning : Modern stream processors rely on embedded key-value stores to manage state that accumulates over long-running computations and exceeds the available memory size. One of these key-value stores is RocksDB, which is widely used in many applications requiring high-performing storage with low latency. LÄS MER

  4. 3. High-Performing Cloud Native SW Using Key-Value Storage or Database for Externalized States

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Ahmed Sikh; Joel Axén; [2023]
    Nyckelord :cloud-native; externalized states; latency; simulator; Redis; PostgreSQL; moln-nativ; externaliserade tillstånd; latens; simulator; Redis; PostgreSQL;

    Sammanfattning : To meet the demands of 5G and what comes after, telecommunications companies will need to replace their old embedded systems with new technology. One such solution could be to develop cloud-native applications that offer many benefits but are less reliable than embedded systems. LÄS MER

  5. 4. Capturing the XR Market: Examining Strategies to Reach the Broader Market - An exploratory study of commercialization of XR enabled by 5G

    Master-uppsats, Lunds universitet/Produktionsekonomi

    Författare :Terese Hilmersson; Ebba Lindström; [2023]
    Nyckelord :XR technologies; HMD; B2C commercialization; value capturing; revenue models; ecosystem mapping; adoption network; high- tech innovations; Technology and Engineering;

    Sammanfattning : Living to some extent in a partly or fully virtual reality is a scenario that may not be as far in the future as many may think, and the development of technologies that enable this is fully underway. This thesis investigates the commercialization of extended reality (XR) technologies in the consumer market and what may facilitate and hinder this commercialization. LÄS MER

  7. 5. Prisestimering på bostadsrätter : Implementering av OCR-metoder och Random Forest regression för datadriven värdering

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Sofia Lövgren; Marcus Löthman; [2023]
    Nyckelord :OCR; Optical Character recognition; Random Forest regression; price estimation; housing cooperatives; machine learning; OCR; Optisk teckenigenkänning; Random Forest regression; Prisestimering; Bostadsrätter; Maskininlärning;

    Sammanfattning : This thesis explores the implementation of Optical Character Recognition (OCR) – based text extraction and random forest regression analysis for housing market valuation, specifically focusing on the impact of value factors, derived from OCR-extracted economic values from housing cooperatives’ annual reports. The objective is to perform price estimations using the Random Forest model to identify the key value factors that influence the estimation process and examine how the economic values from annual reports affect the sales price. LÄS MER