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  1. 1. Spatially Coupled Codes in Turbo Equalization

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Mgeni Makambi Mashauri; [2019]
    Keywords : Turbo equalization; spatial coupling; waterfall versus error floor; codes on graphs; iterative receivers; LDPC codes in turbo equalization; Technology and Engineering;

    Abstract : In this thesis we investigate the application of spatial coupling in turbo equalization. We show that with spatial coupling we can have a fresh perspective on the trade-off between performance in the waterfall and error floor region often encountered in the choice of codes for turbo equalization. READ MORE

  2. 2. Machine visual feedback through CNN detectors : Mobile object detection for industrial application

    University essay from Mittuniversitetet/Institutionen för elektronikkonstruktion

    Author : Kastriot Rexhaj; [2019]
    Keywords : Object detection; CNN; SSD; Faster R-CNN; YOLO; TensorFlow; ARM; Android; Deep learning; Machine vision.;

    Abstract : This paper concerns itself with object detection as a possible solution to Valmet’s quest for a visual-feedback system that can help operators and other personnel to more easily interact with their machines and equipment. New advancements in deep learning, specifically CNN models, have been exploring neural networks with detection-capabilities. READ MORE

  3. 3. GSM Based Technology as a Tool to Reach Higher Financial Inclusion in Rural Areas : The Digitising of Savings Groups

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

    Author : Jeanna Peebo; Alexandra Kosovic; [2019]
    Keywords : USSD; Savings Groups; Xitique; Financial inclusion; Women empowerment; M-pesa;

    Abstract : Digital aid to increase financial inclusion in developing countries is an increasing area of interest growing together with the global expansion of mobile phone penetration. This paper analyzes technical, social and financial aspects of the possibility of digitizing Xitique, a local community-based microfinance model in rural Mozambique. READ MORE

  4. 4. An Analysis of Cloud-Based Machine Learning Models for Traffic-Sign Classification

    University essay from Linköpings universitet/Kommunikations- och transportsystemLinköpings universitet/Tekniska fakulteten

    Author : Victor Lindeman; [2019]
    Keywords : machine learning traffic signcloud;

    Abstract : The machine learning method deep neural networks are commonly used for artificial intelligence applications such as speech recognition, robotics, and computer vision. Deep neural networks often have very good accuracy, the downside is the complexity of the computations. READ MORE

  5. 5. Implementation of an 8-bit Dynamic Fixed-Point Convolutional Neural Network for Human Sign Language Recognition on a Xilinx FPGA Board

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Ricardo Núñez-Prieto; [2019]
    Keywords : Artificial Intelligence; Computer Vision; Machine Learning; Convolutional Neural Networks; FPGA; Sign Language Recognition; Technology and Engineering;

    Abstract : The goal of this thesis work is to implement a convolutional neural network on an FPGA device with the capability of recognising human sign language. The set of gestures that the neural network can identify has been taken from the Swedish sign language, and it consists of the signs used for representing the letters of the Swedish alphabet (a.k.a. READ MORE