Sökning: "measurement information model"
Visar resultat 1 - 5 av 250 uppsatser innehållade orden measurement information model.
1. Robust non-Abelian geometric phases on three-qubit spin codes
Master-uppsats, Uppsala universitet/MaterialteoriSammanfattning : Quantum holonomies are non-Abelian Geometric Phases predominantly observed in adiabatic, non-adiabatic, or measurement-based quantum evolutions. Their significance lies in their potential utility within quantum computing due to their robustness against noise throughout the parameter path. LÄS MER
2. An evaluation study of 3D imaging technology as a tool to estimate body weight and growth in dairy heifers
Master-uppsats, SLU/Dept. of Animal Nutrition and ManagementSammanfattning : The aim of this thesis was to evaluate the use of a 3D camera as a tool to estimate body weight and growth in dairy heifers. Data collection lasted from October 2022 to January 2023 and was performed at the Swedish Livestock Research Centre in Uppsala, Sweden. LÄS MER
3. Traffic State Estimation on Swedish Highways : Model Comparison using Multisource Data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Due to the escalating demand for traffic information and management, the significance of traffic state estimation, which involves the assessment of traffic conditions on road segments with limited measurement data, is increasing. Two primary estimation methods are model-driven and data-driven. LÄS MER
4. Radio Environment Compensation in a Narrowband IoT Positioning System : Using Radio Signal Metrics Between Stationary Devices
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The Internet of Things (IoT) has emerged as a powerful tool for meeting our need to collect information about and interact with our environments. One important aspect of this technology is positioning which imposes requirements on both the energy consumption and the arrangement of the systems. LÄS MER
5. Mapping of Dependent Structural Responses on a Prestressed Concrete Bridge using Machine Learning Regression Analysis and Historical Data : A Comparison of Different Non-linear Regression Approaches
L1-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Prestressed concrete bridges are susceptible to deterioration over time which might significantly affect their capacity and overall performance. In previous decades, infrastructure owners have found that continuous monitoring of these assets is a valuable tool for their management as it facilitates the decision-making process regarding the intervention strategies required. LÄS MER