Essays about: "Load modeling"

Showing result 16 - 20 of 232 essays containing the words Load modeling.

  1. 16. Estimating the load weight of freight trains using machine learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Erik Kongpachith; [2023]
    Keywords : Railway freight Transport; Rail Vehicle Weighing; Y25 Bogie; Sdggmrss T3000eD; GENSYS; Machine Learning; Regression; Polynomial Regression; Regression Trees; Random Forest Regression; Support Vector Regression; Järnvägsgods transport; Vägning av järnvägsfordon; Y25 Bogie; Sdggmrss T3000eD; GENSYS; Maskininlärning; Regression; Polynom Regression; Regressionsträd; Random Forest Regression; Support Vector Regression;

    Abstract : Accurate estimation of the load weight of freight trains is crucial for ensuring safe, efficient and sustainable rail freight transports. Traditional methods for estimating load weight often suffer from limitations in accuracy and efficiency. READ MORE

  3. 17. Design of an Embedded Torque Sensor : Based on Volumetric Strain induced Differential Air Pressure

    University essay from Mittuniversitetet/Institutionen för elektronikkonstruktion

    Author : Wen Qi; [2022]
    Keywords : Torque; Electronics; Gas sealing; Pressure measurement;

    Abstract : This paper proposes a torque sensor based on the differential air pres- sure measurement method using a new embedded structure. The pro- posed sensor design is an improvement over the previous sensor design. The mechanical sensitivity, resolution, and stress distribution of the new sensor are analyzed by finite element modeling. READ MORE

  4. 18. Evaluating Business Models and Battery Usage in Battery Electric Trucks: : A Simulation Model for Future Scenarios

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Johan Andersson; Adam Wiberg; [2022]
    Keywords : Simulation model; Scenario modeling; Future studies; Business models; Inter-urban transportation; Simulationsmodell; Scenariomodellering; Framtidsstudier; Affärsmodeller; Inter-urban transport;

    Abstract : Road freight transport is changing, with an uncertain future and climate change calling for adaptation. Batteries as the power source are one solution for sustainable transport, yet these are affected by degrading effects, eventually making the batteries unusable. READ MORE

  5. 19. Hybrid Deep Learning Model for Cellular Network Traffic Prediction : Case Study using Telecom Time Series Data, Satellite Imagery, and Weather Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ali Shibli; [2022]
    Keywords : Cellular network traffic; multi-modal; satellite imagery; weather data; LSTM; CNN; time series; Trafic sur les réseaux cellulaires; multimodal; imagerie satellite; données météo; LSTM; CNN; séries temporelles; Förutsägelse av mobilnätstrafik; multimodal modell; satellitbilder; väderdata; LSTM; CNN; tidsseriein;

    Abstract : Cellular network traffic prediction is a critical challenge for communication providers, which is important for use cases such as traffic steering and base station resources management. Traditional prediction methods mostly rely on historical time-series data to predict traffic load, which often fail to model the real world and capture surrounding environment conditions. READ MORE

  6. 20. Investigating and Modeling Uplink Processing in 5G NR Multisector Scheduler Simulator

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Oskar Nygren; Axel Sneitz-Björkman; [2022]
    Keywords : Technology and Engineering;

    Abstract : As the latest generation of wireless access technology called Fifth Generation (5G) New Radio (NR) evolves, computational efficiency is key to keep low cost and flexible deployments for vendors. Understanding how the Digital Signal Processing (DSP) load behaves in the digital units is one aspect to enable this efficiency. READ MORE