Sökning: "Machine Design"

Visar resultat 16 - 20 av 1436 uppsatser innehållade orden Machine Design.

1. 16. State Machine Model-To-Code Transformation In C

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

   Författare :Jonathan Carlgren; Per William Oskarsson; [2023]
   Nyckelord :State Machine; Model To Code; C; UML; ElementTree; XMI; Programming; Python; Benchmark;

   Sammanfattning : A state machine model can turn a complex behavioural system into a more accessible graphical model, and can improve the way people work with system design by making it easier to communicate and understand the system. The clear structure of a state machine model enables automatic generation of well structured, and consequently readable, and maintainable code. LÄS MER

3. 17. Evaluation of Hydraulically InterconnectedSuspension Systems on TARA Machine

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

   Författare :Jingyao Yu; [2023]
   Nyckelord :hydraulically interconnected suspension system; full-vehicle analysis; dynamic performance; co-simulation; hydrauliskt sammanlänkade fjädringssystem; helfordonsanalys; dynamisk prestanda; sam-simulering;

   Sammanfattning : The TARA machine from Volvo is equipped with hydraulic suspension which can be connected with each other in different ways. The present study focuses on enhancing the dynamic performance of the TARA machine during its operations through the investigation of various hydraulically interconnected suspension (HIS) systems. LÄS MER

4. 18. DISTRIBUTED ARTIFICIAL INTELLIGENCE FOR ANOMALY DETECTION IN A MODULAR MANUFACTURING ENVIRONMENT

   Magister-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Hana Hodzic; [2023]
   Nyckelord :;

   Sammanfattning : This thesis investigates anomaly detection and classification in a simulated modular manufacturingenvironment using Machine Learning algorithm Random Forest. This algorithm is tested on a localcomputer and an embedded device, specifically the Raspberry PI. LÄS MER

5. 19. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Ilya Ploshchik; [2023]
   Nyckelord :Visualization; interaction; metamodels; validation metrics; predicted probabilities; stacking; stacked generalization; ensemble learning; machine learning;

   Sammanfattning : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. LÄS MER

7. 20. Machine Learning model applied to Reactor Dynamics

   Master-uppsats, KTH/Fysik

   Författare :Dionysios Dimitrios Nikitopoulos; [2023]
   Nyckelord :Master Thesis; Machine Learning; stability; Energy distribution profiles; Prediction; frequency; decay ratio; Data processing; POLCA-T; Pytorch; testing data; RMSE. ii;

   Sammanfattning : This project’s idea revolved around utilizing the most recent techniques in MachineLearning, Neural Networks, and Data processing to construct a model to be used asa tool to determine stability during core design work. This goal will be achieved bycollecting distribution profiles describing the core state from different steady statesin five burn-up cycles in a reactor to serve as the dataset for training the model. LÄS MER