Essays about: "vector space modeling"
Showing result 1 - 5 of 14 essays containing the words vector space modeling.
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1. Study of vector control strategy on Interior Permanent Magnet Synchronous Motors
University essay from Högskolan Väst/Institutionen för ingenjörsvetenskapAbstract : This thesis presents a comprehensive study of Direct Torque Control (DTC) for Interior Permanent Magnet Synchronous Motors (IPMSMs) evaluating its potential in high performance motor drive systems. The research begins with a literature review, looking into the fundamental principles of DTC, Pulse Width Modulation (PWM), Space Vector Modulation (SVM) and Field Oriented Control (FOC). READ MORE
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2. Commissioning of a FPGA/DSP unit for Centralized Control of a Variable Phase Pole Multiphase Machine
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Multiphase Electrical Machines (MPEMs) with variable phase-pole configurations have recently gained interest as it offers advantages such as a larger operating range and improved fault tolerance compared to more traditional MPEMs. The current state-of-the-art modeling and control method, Vector Space Decomposition (VSD), has the drawback of introducing discontinuities in the model when transitioning from one phase-pole configuration to another. READ MORE
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3. Phase-Out Demand Forecasting : Predictive modeling on forecasting product life cycle
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The phase-out stage in a product life cycle can face unpredictable demand. Accurate forecast of the phase-out demand can help supply chain managers to control the number of obsolete inventories. Consequently, having a positive effect in terms of resources and lower scrap costs. READ MORE
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4. Improving Zero-Shot Learning via Distribution Embeddings
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Zero-Shot Learning (ZSL) for image classification aims to recognize images from novel classes for which we have no training examples. A common approach to tackling such a problem is by transferring knowledge from seen to unseen classes using some auxiliary semantic information of class labels in the form of class embeddings. READ MORE
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5. Unsupervised Audio Spectrogram Compression using Vector Quantized Autoencoders
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Despite the recent successes of neural networks in a variety of domains, musical audio modeling is still considered a hard task, with features typically spanning tens of thousands of dimensions in input space. By formulating audio data compression as an unsupervised learning task, this project investigates the applicability of vector quantized neural network autoencoders for compressing spectrograms – image-like representations of audio. READ MORE