Essays about: "Manuellt arbete"

Showing result 1 - 5 of 133 essays containing the words Manuellt arbete.

  1. 1. Wrist Angle Estimation Using Two Wearable Inertial Measurement Units

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Arvin Razavi; [2023]
    Keywords : IMU wrist angle estimation; Wrist absolute angle; IMU-based human motion capture; orientation filter; Complementary filter; Kalman filter; IMU handledsvinkeluppskattning; handleds absolutvinkel; IMU-baserad mänsklig rörelsefångst; orienteringsfilter; komplementfilter; Kalman-filter;

    Abstract : Hand-intensive work is closely related to the prevalence of upper body and hand/wrist work-related musculoskeletal disorders (WMSDs) in office work, manufacturing, service industries, as well as the healthcare industry. Some risk factors include vibrations, forceful exertions, heavy manual handling, repetitive motions, and prolonged nonneutral wrist postures. READ MORE

  3. 2. A designer-driven approach to procedural generation tools for level design

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

    Author : Max Truedsson; [2023]
    Keywords : Master Thesis; Game development; Game Design; Procedural generation; PCG; Level creation; Art Tool; 3d Environment design; Master Examensarbete; Spelutveckling; Speldesign; Procedurell generering; PCG; Spelbana Konstruktion; Konst verktyg; 3d miljö design;

    Abstract : Game development is a multifaceted field that involves both traditional software practices and creative work. It is characterized by its iterative and time-consuming process where prototypes are created and then evaluated. This is especially true for creating 3D environments, where it is difficult to evaluate the quality before it is completed. READ MORE

  4. 3. Quantification of DNA Microballs Using Image Processing Techniques

    University essay from KTH/Industriell bioteknologi

    Author : Yosef Werede Tedros; [2023]
    Keywords : Spot detection; Deep learning; Image processing; smFISH; Gene editing; CRISPR; Rolling circle amplification; Big-FISH; LodeSTAR; DeepSpot; Detektering av punkter; Djupinlärning; Bildbehandling; smFISH; Genredigering; CRISPR; Rolling circle amplification; Big-FISH; LodeSTAR; DeepSpot;

    Abstract : I detta examensarbete användes olika bildbehandlingstekniker för detektion och kvantifiering av DNA-mikrobollar, mer specifikt rolling circle amplification-produkter, på mikroskopibilder. Avsikten med detta arbete var att hjälpa Countagen AB utforska pipelines för bildbehandling för sin produkt där de analyserar utfallet av genredigeringsförsök på ett billigare och snabbare sätt än dagens konventionella sekvenseringsmetoder. READ MORE

  5. 4. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2

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

    Author : Luciano Zapata; [2023]
    Keywords : Text classification; Short texts; Deep Learning; BERT; GPT; GPT-2; Transformers; Natural Language Processing; Textklassificering; Korta Texter; Djupinlärning; BERT; GPT; GPT-2; Transformatorer; Naturlig språkbehandling;

    Abstract : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. READ MORE

  6. 5. ML enhanced interpretation of failed test result

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

    Author : Hiranmayi Pechetti; [2023]
    Keywords : Data Parsing; Machine Learning; Log file Analysis; Text Classification; Supervised Classification; Dataanalys; maskininlärning; loggfilsanalys; textklassificering; Övervakad klassificering;

    Abstract : This master thesis addresses the problem of classifying test failures in Ericsson AB’s BAIT test framework, specifically distinguishing between environment faults and product faults. The project aims to automate the initial defect classification process, reducing manual work and facilitating faster debugging. READ MORE