Essays about: "mobile learning system"

Showing result 1 - 5 of 115 essays containing the words mobile learning system.

  1. 1. Digital Front End Algorithms for Sub-Band Full Duplex

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

    Author : Midhat Rizvi; Khaled Al-Khateeb; [2023]
    Keywords : Adjacent Channel Leakage Ratio; Bit Error Rate; Clipping and Filtering; Crest Factor Reduction; Digital front end; Digital Pre-Distortion Error Vector Magnitude; Frequency Division Duplex; Power Amplifier; Peak to Average Power Ratio; Peak Cancellation Crest Factor Reduction; Sub Band Full Duplex; Self-Interference Cancellation; Signal-to-Interference Noise Ratio; Signal-to-Noise Ratio; Turbo Clipping; Time Division Duplex; Technology and Engineering;

    Abstract : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. READ MORE

  3. 2. Persuasive Language Learning - Qualitative research on user engagement in the persuasive system design of Duolingo

    University essay from Jönköping University/Tekniska Högskolan

    Author : Sofie Kastelli; Napsugár Takács; [2023]
    Keywords : Persuasion; Gamification; User-engagement; Duolingo; MALL; mobile-learning; mobile-language-learning; gamified interaction design;

    Abstract : Duolingo is a popular mobile language-learning application that has been around the market since 2012 and has been researched in its language-learning abilities. It is crucial for mobile language learning applications to keep their users interested, nevertheless, as users easily lose interest in continuing their language study. READ MORE

  4. 3. Robust Background Segmentation For Use in Real-time Application : A study on using available foreground-background segmentation research for real-world application

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Emil Brynielsson; [2023]
    Keywords : Image segmentation; Foreground segmentation; Background Segmentation; Remote guidance;

    Abstract : In a world reliant on big industries to produce large quantities of more or less every product used, it is of utmost importance that the machines in such industries continue to run with minimum amounts of downtime. One way more and more providers of such industrial machines try to help their customers reduce downtime when a machine stops working or needs maintenance is through the use of remote guidance; a way of knowledge transfer from a technician to a regular employee that aims to allow the regular employee to be guided in real-time by a technician to solve the task himself, thus, not needing the technician to travel to the factory. READ MORE

  5. 4. Robust Multi-Modal Fusion for 3D Object Detection : Using multiple sensors of different types to robustly detect, classify, and position objects in three dimensions.

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

    Author : Viktor Kårefjärd; [2023]
    Keywords : Computer Vision; 3D Object Detection; Multi-Modal Fusion; Deep Learning; Datorseenden; 3D-objektdetektion; Multimodal fusion; Djupinlärning;

    Abstract : The computer vision task of 3D object detection is fundamentally necessary for autonomous driving perception systems. These vehicles typically feature a multitude of sensors, such as cameras, radars, and light detection and ranging sensors. READ MORE

  6. 5. Reducing Power Consumption For Signal Computation in Radio Access Networks : Optimization With Linear Programming and Graph Attention Networks

    University essay from Linköpings universitet/Programvara och system

    Author : Martin Nordberg; [2023]
    Keywords : Cloud RAN; Constrained optimization; Mixed integer linear programming; MILP; Machine learning; Graph neural network; Graph attention network; GAT;

    Abstract : There is an ever-increasing usage of mobile data with global traffic having reached 115 exabytes per month at the end of 2022 for mobile data traffic including fixed wireless access. This is projected to grow up to 453 exabytes at the end of 2028, according to Ericssons 2022 mobile data traffic outlook report. READ MORE