Sökning: "High-Frequency Data"

Visar resultat 21 - 25 av 238 uppsatser innehållade orden High-Frequency Data.

  1. 21. Employee preferences in preparing for a change - A case study of strategic project implementations

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

    Författare :Alfons Hallgren; Maja Svensson; [2023]
    Nyckelord :Employee; Managers; Project Lead; Top Management; First-line managers; Employee preferences;

    Sammanfattning : As market conditions constantly change in today's competitive landscape, businesses must invest in organizational changes to stay relevant. Despite the high frequency of change projects worldwide, multiple sources state that 70% of all change projects fail. LÄS MER

  3. 22. Undersökning av hur brukarbeteenden påverkar energianvändningen i flerbostadshus med FTX - ventilation. En studie med särskilt fokus på vädring.

    Master-uppsats, Lunds universitet/Avdelningen för Installations- och klimatiseringslära

    Författare :Emelie Bertilsson; Karina Zandi; [2023]
    Nyckelord :Flerbostadshus; brukarbeteende; vädring; energianvändning; Technology and Engineering;

    Sammanfattning : Bygg- och fastighetssektorn stod år 2020 för ungefär en tredjedel av Sveriges totala energianvändning, där energianvändningen främst består av energi för uppvärmning. Energibesparingar på en byggnads uppvärmningsenergi kan göras med hjälp av tekniska åtgärder och genom förändring av brukarvanor. LÄS MER

  4. 23. Beyond Traditional Tomography: X-ray Multi-projection Imaging for Additive Manufacturing

    Kandidat-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

    Författare :Maria Esther Vilar Alvarez; [2023]
    Nyckelord :X-ray tomography; X-ray multiprojection-imaging; deep learning; additive manufacturing; synchrotron radiation; Physics and Astronomy;

    Sammanfattning : The main aim of this bachelor thesis is to push the limits of 3D X-ray imaging by studying the minimum number of projections required to retrieve high-quality reconstructions for additive manufacturing processes. This project first focuses on understanding how X-ray tomography works, by reconstructing additive manufacturing data already obtained (from PSI, TOMCAT beamline) using two standard reconstruction algorithms, GRIDREC and SIRT. LÄS MER

  5. 24. Nowcasting U.S. inflation using mixed frequency real-time data

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Gustaf Lundgren; Nils Wicktor; [2023]
    Nyckelord :Inflation; Machine Learning; Nowcasting; MIDAS; Almon distributed lag models; Real-Time data; Random Forest; XGBoost; Mathematics and Statistics;

    Sammanfattning : Different models were developed with the aim of nowcasting inflation at a daily basis with high frequency variables, while using real-time data to avoid look ahead bias. Both popular machine learning models such as Random Forest and XGBoost, and more traditional models such as UMIDAS and Almon distributed lag models were used to make the nowcasts. LÄS MER

  7. 25. Changes in cetacean presence and behavior in response to reduced marine traffic - the effects of a nationwide lockdown

    Kandidat-uppsats, Högskolan i Halmstad

    Författare :Lisa Falk Lindberg; Lindqvist Erika; [2022]
    Nyckelord :;

    Sammanfattning : Creating noise-pollution and other disturbances, marine traffic poses a great threat to marine mammals all over the world which may demonstrate through short- and long-term changes in behavior and distribution. The Covid-19 lockdown in 2020 provided a setting to study the effects of marine traffic on cetacean presence and interactive behavior. LÄS MER