Advanced search

Showing result 1 - 5 of 593 essays matching the above criteria.

  1. 1. Design of a case erecting and product placement station

    University essay from Lunds universitet/Innovation

    Author : Niklas Wiest; [2024]
    Keywords : Keywords: case erecting; cobots; automation; end-effector; spiral product development process; quick-build product; Technology and Engineering;

    Abstract : This report presents an innovative approach to industrial automation, focusing on the development of an automated system for erecting and filling cardboard boxes with wax jars. The project, executed in collaboration with Odigo Consulting and Scandinavian Hair Company (SHC), aimed to showcase enhanced production efficiency for small and medium-sized enterprises through the implementation of collaborative robots and pneumatic systems. READ MORE

  3. 2. Book retrieval system : Developing a service for efficient library book retrievalusing particle swarm optimization

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Adam Woods; [2024]
    Keywords : Particle swarm optimization; indoor positioning system; machine learning; Wi-Fi; RSSI; RTT; artificial neural network; ADAM optimizer; Keras; TensorFlow;

    Abstract : Traditional methods for locating books and resources in libraries often entail browsing catalogsor manual searching that are time-consuming and inefficient. This thesis investigates thepotential of automated digital services to streamline this process, by utilizing Wi-Fi signal datafor precise indoor localization. READ MORE

  4. 3. Log Frequency Analysis for Anomaly Detection in Cloud Environments

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Prathyusha Bendapudi; [2024]
    Keywords : Log Analysis; Log Frequency Patterns; anomaly detection; machine learning; cloud environments;

    Abstract : Background: Log analysis has been proven to be highly beneficial in monitoring system behaviour, detecting errors and anomalies, and predicting future trends in systems and applications. However, with continuous evolution of these systems and applications, the amount of log data generated on a timely basis is increasing rapidly. READ MORE

  5. 4. Data-Driven Reachability Analysis of Pedestrians Using Behavior Modes : Reducing the Conservativeness in Data-Driven Pedestrian Predictions by Incorporating Their Behavior

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

    Author : August Söderlund; [2023]
    Keywords : Data-driven reachability analysis; Autonomous vehicles; Automated safety; Autonomous situational awareness; Datadriven nåbarhetsanalys; Autonoma fordon; Automatiserad säkerhet; Autonom situationsmedvetenhet;

    Abstract : Predicting the future state occupancies of pedestrians in urban scenarios is a challenging task, especially considering that conventional methods need an explicit model of the system, hence introducing data-driven reachability analysis. Data-driven reachability analysis uses data, inherently produced by an unknown system, to perform future state predictions using sets, generally represented by zonotopes. READ MORE

  6. 5. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

    Author : Jiayi Feng; [2023]
    Keywords : DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE