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1.
Development of a Model for Predicting Brake Torque Using LSTM and TCN Models
Tomaž Roškar, 2020, master's thesis

Abstract: The main purpose of this thesis is to compare two state-of-the-art machine learning models, LSTM (Long Short-Term Memory) and TCN (Temporal Convolutional Network), on an AVL List GmbH case use, where the goal is to predict vehicle brake torque. Dataset used for model testing consists of multiple features which are preprocessed using several preprocessing methods. For model implementation Python’s libraries Keras and TensorFlow are used. Results from this thesis show that TCN is able to outperform LSTM. TCN achieves lower RMSE on the test dataset and is significantly faster in training and evaluation.
Keywords: brake torque, machine learning, neural network, LSTM, TCN, RNN, CNN
Published: 24.09.2020; Views: 210; Downloads: 0

2.
Ergonomska analiza delovnega mesta v podjetju Arcont d.d.
Tomaž Roškar, 2017, undergraduate thesis

Abstract: Cilj diplomskega dela je proučiti obstoječe delovno mesto v podjetju Arcont d. d., in na podlagi rezultatov predlagati možne izboljšave. Na obravnavanem delovnem mestu se izvaja razrez pločevine na velikih škarjah AMADA GX1230. Analizirali smo rezultate meritev okoljskih pogojev in izračunali stopnje obremenitev (hrup, toplota). Uporabljeni sta bili opazovalni metodi za ugotavljanje problematičnih telesnih položajev delavca, OWAS in RULA. Za primerjavo rezultatov smo naredili še analizo v programskem paketu Jack. V zaključku so podani predlogi ukrepov in izboljšav.
Keywords: ergonomija, ergonomska analiza, OWAS, RULA, Jack
Published: 15.09.2017; Views: 2245; Downloads: 243
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