Sökning: "olika styrsystem"

Visar resultat 1 - 5 av 259 uppsatser innehållade orden olika styrsystem.

1. 1. Mot en framtid med distansarbete: Utmaningar och lärdomar för effektiva styrsystem inom vinstdrivande och icke vinstdrivande organisationer

   Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionen

   Författare :Sanna Andersson; Filippa Haraldsson; [2023-06-29]
   Nyckelord :;

   Sammanfattning : Bakgrund: En av fyra hade tackat nej till ett jobberbjudande där möjligheten till distansarbete inte erbjuds, vilket tyder på att fler organisationer kommer att behöva överväga att erbjuda detta i framtiden. Fler organisationer kommer därmed vara i behov av att erhålla insikter samt ta del av andras erfarenheter kring vilka typer av styrsystem och kontrollmetoder som fungerar bra och mindre bra vid distansarbete. LÄS MER

3. 2. Governance and decision-making : Lessons from three French eco-villages

   Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

   Författare :Gwenaël Bertrand; [2023]
   Nyckelord :;

   Sammanfattning : In a context of rising environmental pressure and slow societal changes in response, the emergence of ecovillages comes as a small-scale solution to actively propose sustainable alternatives to the modern consumerist society. The human factor plays a key role in enabling such ecovillages to last. LÄS MER

4. 3. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

   Master-uppsats, KTH/Mekatronik och inbyggda styrsystem

   Författare :Helgi Hrafn Björnsson; Jón Kaldal; [2023]
   Nyckelord :Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

   Sammanfattning : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. LÄS MER

5. 4. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework

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

   Författare :Niklas Barth; [2023]
   Nyckelord :Unsupervised Learning; Multivariate Time Series; Graph Convolutional Neural Networks; Anomaly Detection; Industrial Control System; EtherCAT; Power Station; Electricity Grid;

   Sammanfattning : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. LÄS MER

7. 5. Construction and Control of a 3-axisAutomated Liquid Sampling UnitUtilizing Hybrid Stepper Motors

   Master-uppsats, KTH/Mekatronik och inbyggda styrsystem

   Författare :Arvid Bergvall; Pontus Lundman; [2023]
   Nyckelord :Mechatronics; Gantry; Stepper motor; Control; Linear Quadratic Regulator; Adaptive LQI; PID; Mekatronik; Gantry; Stegmotor; Reglerteknik; LQR; Adaptiv LQI; PID;

   Sammanfattning : High accuracy autonomous positioning systems are becoming increasingly important in today’s chemical industry because they can obtain precise experiment results automatically and hence allow lab technicians to focus on other tasks concurrently. One time consuming process is the process of sampling chemical test results into the correct container, especially when the tests are many and infrequent. LÄS MER