Essays about: "Mobile navigation."
Showing result 1 - 5 of 151 essays containing the words Mobile navigation..
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1. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. READ MORE
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2. From Coffee Breaks to Communication Breakthroughs : A Quantitative Study of a Fika Campaign: Shaping Strategic Communication in the Digital Age
University essay fromAbstract : This research paper investigates the effectiveness of a campaign conducted by me and SJ to recruit new members on board trains, focusing on the interplay between strategic communication, demographic factors and technology use. With the increasing majority of online platforms and the pervasiveness of smartphones, the study recognizes the significance of mobile media and technologies like QR codes in shaping everyday experiences. READ MORE
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3. Time synchronization error detection in a radio access network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Time synchronization is a process of ensuring all the time difference between the clocks of network components(like base stations, boundary clocks, grandmasters, etc.) in the mobile network is zero or negligible. It is one of the important factors responsible for ensuring effective communication between two user-equipments in a mobile network. READ MORE
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4. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. READ MORE
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5. Machine Learning-based MIMO Indoor Positioning
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. READ MORE