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Showing result 11 - 15 of 107 essays matching the above criteria.
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11. Performance analysis of adaptive streaming algorithms for a low-latency environment
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Streaming video over the internet can face issues when met with poor and varying network conditions, which can be especially noticeable when streaming live video such as security footage or video calling. To handle this, there exists congestion control algorithms that monitor network conditions based on feedback from the receiver and adapt the video output. READ MORE
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12. Real-time industrial systems anomaly detection with on-edge Tiny Machine Learning
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Embedded system such as microcontrollers has become more powerful and cheaper during the past couple of years. This has led to more and more development of on-edge applications, one of which is anomaly detection using machine learning. READ MORE
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13. Performance analysis of on- device streaming speech recognition
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Speech recognition is the task where a machine processes human speech into a written format. Groundbreaking scientific progress within speech recognition has been fueled by recent advancements in deep learning research, improving both key metrics of the task; accuracy and speed. READ MORE
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14. A Real- time Log Correlation System for Security Information and Event Management
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The correlation of several events in a period of time is a necessity for a threat detection platform. In the case of multistep attacks (attacks characterized by a sequence of executed commands), it allows detecting the different steps one by one and correlating them to raise an alert. READ MORE
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15. Improving the performance of stream processing pipeline for vehicle data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The growing amount of position-dependent data (containing both geo position data (i.e. latitude, longitude) and also vehicle/driver-related information) collected from sensors on vehicles poses a challenge to computer programs to process the aggregate amount of data from many vehicles. READ MORE