Essays about: "Mjuka fel"

Showing result 1 - 5 of 8 essays containing the words Mjuka fel.

1. 1. Dynamic Modelling of a Fluidic Muscle with a Comparison of Hysteresis Approaches

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

   Author : Tess Antonsson; [2023]
   Keywords : Mechatronics; Soft Actuators; Pneumatic Artificial Muscles; Dynamic Modelling; Hysteresis; Maxwell-Slip Model; Generalised Bouc-Wen Model; Mekatronik; Mjuka Ställdon; Pneumatiska Artificiella Muskler; Dynamisk Modellering; Hysteres; Maxwell-Slip Modell; Generaliserad Bouc-Wen Modell;

   Abstract : n recent years, there has been a surge in interest and research into the utilisation of soft actuators within the field of robotics, driven by the novel capabilities of their inherently compliant material. One such actuator is the Pneumatic Artificial Muscle (PAM) which offers a high power-to-mass ratio, compliance, safety, and biological mimicry when compared to their traditional counterparts. READ MORE

3. 2. Using Reinforcement Learning to Correct Soft Errors of Deep Neural Networks

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

   Author : Yuhang Li; [2023]
   Keywords : DNN; Soft errors; Redundancy; DRL; DQN; Transfer learning; Training time; DNN; Mjuka fel; Redundans; DRL; DQN; Överföringsinlärning; Utbildningstid;

   Abstract : Deep Neural Networks (DNNs) are becoming increasingly important in various aspects of human life, particularly in safety-critical areas such as autonomous driving and aerospace systems. However, soft errors including bit-flips can significantly impact the performance of these systems, leading to serious consequences. READ MORE

4. 3. UX Re-Design of an Image Management System in Healthcare

   University essay from Lunds universitet/Ergonomi och aerosolteknologi; Lunds universitet/Certec - Rehabiliteringsteknik och Design

   Author : Josefin Andersson; [2022]
   Keywords : User experience; eHealth; Medical Imaging Technologies; Interaction Design; PCI labs; DICOM; PACS; SCAAR; Technology and Engineering;

   Abstract : As incidences of chronic diseases increase, the tools to diagnose, treat and monitor such conditions become more important. Medical imaging technologies, being one of these tools, still face challenges in safe and effective use. At the same time, poor design of medical devices causes errors that could be avoided using proper design methods. READ MORE

5. 4. A Study on Fault Tolerance of Image Sensor-based Object Detection in Indoor Navigation

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

   Author : Yang Wang; [2022]
   Keywords : Gazebo; YOLO; Object detection; Fault tolerance; Fault Injection; Network pruning; Gazebo; YOLO; Objektdetektering; Feltolerans; Felinjektion; Nätverk beskärning;

   Abstract : With the fast development of embedded deep-learning computing systems, applications powered by deep learning are moving from the cloud to the edge. When deploying NN onto the devices under complex environments, there are various types of possible faults: soft errors caused by cosmic radiation and radioactive impurities, voltage instability, aging, temperature variations, etc. READ MORE

6. 5. Development of a Software Reliability Prediction Method for Onboard European Train Control System

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

   Author : Guillaume Pierre Longrais; [2021]
   Keywords : Machine Learning; Software Reliability Growth Prediction; Linear Regression; Artificial Neural Network; Multi-Layer Perceptron; Imperialist Competitive Algorithm; Long Short-Term Memory Network; Convolutional Neural Network; Maskininlärning; förutsägelse av tillväxten av programvarans tillförlitlighet; linjär regression; artificiellt neuralt nätverk; flerskikts-perceptron; imperialistisk konkurrensalgoritm; nätverk med långt korttidsminne; konvolutionellt neuralt nätverk;

   Abstract : Software prediction is a complex area as there are no accurate models to represent reliability throughout the use of software, unlike hardware reliability. In the context of the software reliability of on-board train systems, ensuring good software reliability over time is all the more critical given the current density of rail traffic and the risk of accidents resulting from a software malfunction. READ MORE