Essays about: "thesis particle swarm"

Showing result 1 - 5 of 34 essays containing the words thesis particle swarm.

  1. 1. 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

  3. 2. Design of a grating lobe mitigated antenna array architecture integrated with low loss PCB filtering structures

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

    Author : Eduardo Salvador Lopez; [2023]
    Keywords : Band-pass filters; Beam forming networks; Irregular subarrays; Particle Swarm Optimization; PCB; Penrose tessellation; Planar phased arrays; Quantization lobes; Scanning; Suspended stripline; Bandpassfilter; lobformning; matningsnätverk; Irreguljära gruppantenner; Particle Swarm Optimization; PCB; Penrose tessellation; Plana fasade gruppantenner; sidlober; Utstyrningsvinkel; Suspended stripline;

    Abstract : Massive multiple input multiple output - MIMO systems are a reality and modern communication systems rely upon this technology to cope with the increasing need for capacity and network usage. Antenna arrays are at the heart of the of the massive-MIMO system and are the enabling technology. READ MORE

  4. 3. Ray-Tracing Modeling of Grating Lobe Level Reduction by Using a Dielectric Dome Antenna

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

    Author : Lukas Jonasson; [2023]
    Keywords : Array antenna; Dielectric dome; Ray-Tracing; Grating lobe; Particle Swarm optimization; Gruppantenn; Dielektrisk kupol; Strålspårning; Gallerlob; Particle Swarm optimering;

    Abstract : With the newly deployed fifth-generation telecommunications system and upcoming sixth-generation, high-gain antennas with hemispherical scanning capabilities are of high interest. Phased array antennas allow for fast scanning capabilities with electronic beam-steering. READ MORE

  5. 4. Investigating the Use of Digital Twins to Optimize Waste Collection Routes : A holistic approach towards unlocking the potential of IoT and AI in waste management

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

    Author : Aarati Medehal; [2023]
    Keywords : Internet of Things; Industry 4.0; Smart Cities; Artificial Intelligence; Travelling Salesman problem; Vehicle Routing Problems; Digital Twins; Waste collection; Optimization; Metaheuristics algorithms; Ant Colony Optimization; Simulated Annealing; Particle Swarm; Tabu Search; Genetic Algorithm; Ontology; Digital Twin Definition Language; Internet of Things; Industri 4.0; Smarta städer; Artificiell intelligens; Travelling Salesman problem; Vehicle Routing Problems; Digitala tvillingar; Sophämtning; Optimering; Metaheuristika algoritmer; Ant Colony optimering; Simulerad glödgning; Partikelsvärm; Tabu-sökning; Genetisk algoritm; Ontologi; Digitala tvillingar defintitionsspråk;

    Abstract : Solid waste management is a global issue that affects everyone. The management of waste collection routes is a critical challenge in urban environments, primarily due to inefficient routing. This thesis investigates the use of real-time virtual replicas, namely Digital Twins to optimize waste collection routes. READ MORE

  6. 5. Auto-Tuning Apache Spark Parameters for Processing Large Datasets

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

    Author : Shidi Zhou; [2023]
    Keywords : Apache Spark; Cloud Environment; Spark Configuration Parameter; Resource Utilization; Ridge Regression; Elastic Net; Random Forest; Deep Neural Network; Bayesian Optimization; Particle Swarm Optimization.; Apache Spark; Molnmiljö; Apache Spark konfigurationsparameter; Resursutnyttjande; Ridge-regression; Elastisk nät; Slumpskog; Djupt neuralt nätverk; Bayesiansk optimering; Partikelsvärmsoptimering.;

    Abstract : Apache Spark is a popular open-source distributed processing framework that enables efficient processing of large amounts of data. Apache Spark has a large number of configuration parameters that are strongly related to performance. Selecting an optimal configuration for Apache Spark application deployed in a cloud environment is a complex task. READ MORE