Sökning: "Batch Processing"

Visar resultat 1 - 5 av 69 uppsatser innehållade orden Batch Processing.

  1. 1. Nanometa Live : A real-time metagenomic analysis pipeline and interface for species classification and pathogen characterization

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Kristoffer Sandås; [2023]
    Nyckelord :;

    Sammanfattning : Metagenomics studies the totality of genomes of all species in a microbial community. It is a young, growing field with medical, industrial, and ecological applications. Abundant metagenomic data is being produced today, but there is a lack of interpretation and visualization tools. LÄS MER

  3. 2. Utveckling av ett fristående produktionsövervakningssystem

    Kandidat-uppsats, Lunds universitet/Industriell elektroteknik och automation

    Författare :Viktor Juhnke; [2023]
    Nyckelord :OEE; Industry 4.0; SCADA; SQL; Data visualization; PLC; HMI; Batch processing.; Technology and Engineering;

    Sammanfattning : In a global market with increasing competition, the need for efficient production increases. By measuring production parameters, a company can identify efficiency losses and thus prevent losses and create a more efficient production. Unknown and unplanned downtime in a production process leads to disruptions and losses in efficiency. LÄS MER

  4. 3. Improved U-Net architecture for Crack Detection in Sand Moulds

    Kandidat-uppsats, Högskolan i Gävle/Datavetenskap

    Författare :Husain Ahmed; Hozan Bajo; [2023]
    Nyckelord :U-Net Architecture; Semantic Segmentation; Convolutional Neural Networks; Crack Detection;

    Sammanfattning : The detection of cracks in sand moulds has long been a challenge for both safety and maintenance purposes. Traditional image processing techniques have been employed to identify and quantify these defects but have often proven to be inefficient, labour-intensive, and time-consuming. LÄS MER

  5. 4. RocksDB Read Optimization Strategies for Streaming Applications

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

    Författare :Björkman Fredrik; [2023]
    Nyckelord :RocksDB; Data streams; Micro-batching; Data stream processing; read operation benchmark; Data stream workload simulation; RocksDB; Dataströmmar; Mikro-batching; Dataströmsprocessering; Läsoperationsmätresultat; Dataströmsarbetsbelastningssimulation;

    Sammanfattning : Modern stream processors rely on embedded key-value stores to manage state that accumulates over long-running computations and exceeds the available memory size. One of these key-value stores is RocksDB, which is widely used in many applications requiring high-performing storage with low latency. LÄS MER

  7. 5. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory

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

    Författare :Laura Murphy; [2023]
    Nyckelord :Near-Earth Object Detection; Machine Learning; Deep Learning; Visual Transformers;

    Sammanfattning : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. LÄS MER