Sökning: "Classification principles"

Visar resultat 1 - 5 av 78 uppsatser innehållade orden Classification principles.

  1. 1. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.

    Master-uppsats, Högskolan i Gävle/Elektronik

    Författare :Pradip Nath; [2024]
    Nyckelord :Data Science; Data processing; Industrial Manufacturing; System Identification; Predictive maintenance; Conditional monitoring; Statistical Analysis; Signal processing; Hydraulic System; IoT; Sustainable Maintenance; Data vetenskap; Databehandling; Industriell tillverkning; System identifiering; Prediktivt underhåll; Tillståndsövervakning; Statistisk analys; Signal behandling;

    Sammanfattning : The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. LÄS MER

  3. 2. Ansvarsgenombrott, finns det? : Om ansvarsgenombrotts existens och klassificering.

    Uppsats för yrkesexamina på avancerad nivå, Stockholms universitet/Juridiska institutionen

    Författare :Zara Fredholm; [2023]
    Nyckelord :Ansvarsgenombrott;

    Sammanfattning : A fundamental principle within the Swedish corporate law system is the legal autonomy of a corporation. This separation absolves shareholders of any inherent obligation for corporate liabilities. There are certain rules within the corporate law system that allows for this distinction to be disregarded. LÄS MER

  4. 3. Erratic Patterns : Unravelling the Cultural Transfers of Library Classifiers

    Master-uppsats, Uppsala universitet/Institutionen för ABM

    Författare :Keeley Lindkvist; [2023]
    Nyckelord :Library classifier; library classification; classification; cultural transfer; classification and culture; Library of Congress Classifi-cation Scheme LCC ; knowledge organisation; knowledge organization; The Swedish Institute in Rome ISVRoma ; Biblioteksklassificerare; biblioteksklassificering; kulturell överföring; klassificering och kultur; Library of Congress klassificeringsschema LCC ; kunskapsorganisation; Svenska institutet i Rom ISVRoma ;

    Sammanfattning : This thesis investigates the oft-overlooked influence of the classifier's input during the assignment of library classifications and draws upon cultural transfer theory to shed light on the underlying principles that guide the process. Classifiers' personal knowledge, experience, and beliefs, have a critical role in determining the 'aboutness' of a work and its subsequent classification. LÄS MER

  5. 4. Effektivisering av reservdelsutvärdering inom fordonsindustrin

    M1-uppsats, Blekinge Tekniska Högskola/Institutionen för maskinteknik

    Författare :Ahmad Alkhalili; [2023]
    Nyckelord :;

    Sammanfattning : Detta examensarbete har gjorts under vårterminen 2023 i företaget Scania i Södertälje, Stockholm. Examensarbetet handlar om effektivisering av reservdelsutvärdering inom fordonsindustrin genom att använda Leans grundprinciper, Scania produktionssystemet samt reservdelsklassificering. LÄS MER

  7. 5. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Cina Arjmand; [2023]
    Nyckelord :Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Sammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER