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Showing result 1 - 5 of 156 essays matching the above criteria.

  1. 1. Insamling av skogliga data med applikationen Arboreal Skog : en studie om mätprecision, noggrannhet och effektivitet

    University essay from SLU/Department of Forest Biomaterials and Technology (from 131204)

    Author : Lisa Lindberg; [2020]
    Keywords : skogsinventering; förstärkt verklighet; skogsteknologi; mätfel; skogsuppskattning;

    Abstract : Skogsinventering kräver en del utrustning i fält där klave, höjdmätare och måttband är vanligt förekommande instrument. Med applikationen Arboreal skog kan skogs- uppskattning istället ske med mobiltelefonen som verktyg vid provyteinventering. READ MORE

  2. 2. 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

  3. 3. 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

  4. 4. 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

  5. 5. 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