Sökning: "small extension"

Visar resultat 1 - 5 av 200 uppsatser innehållade orden small extension.

  1. 1. Transforming Consumption Practices: A Social Practice Theory Analysis of Repairability and Lifetime Extension of Smartphones

    Master-uppsats, Lunds universitet/Institutionen för tjänstevetenskap

    Författare :Ester Ósk Gestsdóttir Waage; Marite Putna; [2023]
    Nyckelord :Keywords: smartphones; sustainable consumption; social practice theory; degrowth; environmental impact; repair; lifetime extension.; Social Sciences;

    Sammanfattning : The lifetime extension of smartphones is seen as a prominent way to reduce the environmental impacts caused during the production of the devices. Smartphones may be small devices, but their impact is no longer small as for the past years e-waste has been the largest growing waste generated globally. LÄS MER

  3. 2. Robust Portfolio Optimization with Correlation Penalties

    Master-uppsats, KTH/Matematisk statistik

    Författare :Pelle Nydahl; [2023]
    Nyckelord :Portfolio Optimization; Portfolio Allocation; Robust Optimization; Correlation; Risk Factor Model; EMA Filtering; Weighted Linear Regression; Portföljoptimering; Portföljallokering; Robust optimering; Korrelation; Riskfaktor-modell; EMA-filtrering; Viktad linjär regression;

    Sammanfattning : Robust portfolio optimization models attempt to address the standard optimization method's high sensitivity to noise in the parameter estimates, by taking an investor's uncertainty about the estimates into account when finding an optimal portfolio. In this thesis, we study robust variations of an extension of the mean-variance problem, where an additional term penalizing the portfolio's correlation with an exogenous return sequence is included in the objective. LÄS MER

  4. 3. Wrist Angle Estimation Using Two Wearable Inertial Measurement Units

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Arvin Razavi; [2023]
    Nyckelord :IMU wrist angle estimation; Wrist absolute angle; IMU-based human motion capture; orientation filter; Complementary filter; Kalman filter; IMU handledsvinkeluppskattning; handleds absolutvinkel; IMU-baserad mänsklig rörelsefångst; orienteringsfilter; komplementfilter; Kalman-filter;

    Sammanfattning : Hand-intensive work is closely related to the prevalence of upper body and hand/wrist work-related musculoskeletal disorders (WMSDs) in office work, manufacturing, service industries, as well as the healthcare industry. Some risk factors include vibrations, forceful exertions, heavy manual handling, repetitive motions, and prolonged nonneutral wrist postures. LÄS MER

  5. 4. PAMPaR: Parallel Analysis of miRNAs, Proteins and RNAs. Dynamic Profiles of miRNAs, mRNAs and Specific Proteins in Mouse Embryonic Stem Cells Differentiating into Neural Precursors

    Master-uppsats, KTH/Proteinvetenskap

    Författare :Amelie Carlström; [2023]
    Nyckelord :PAMPaR; SPARC; Proximity extension assay; Neuronal differentiation; Mouse embryonic stem cells; PAMPaR; SPARC; Proximity extension assay; Neuronal differentiering; embryonala musstamceller;

    Sammanfattning : MikroRNA-molekyler (miRNA) är viktiga icke-kodande RNA-molekyler för post-transkriptionell reglering av proteinkodande gener. De har även effekter på många cellulära processer såsom differentiering. De biosyntetiska reaktioner som skapar miRNA involverar proteiner som själva regleras av miRNA. LÄS MER

  7. 5. Low-power Implementation of Neural Network Extension for RISC-V CPU

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

    Författare :Dario Lo Presti Costantino; [2023]
    Nyckelord :Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

    Sammanfattning : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. LÄS MER