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Showing result 1 - 5 of 12 essays matching the above criteria.
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1. XZDDF Bootstrapping in Fully Homomorphic Encryption
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Despite the vast research on the topic in recent years, fully homomorphic encryption schemes remain time-inefficient. The main bottleneck is the so-called bootstrapping, whose purpose is to reduce noise that has accumulated after having performed homomorphic operations on a ciphertext. READ MORE
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2. Bootstrapping Secure Sensor Networks in the Internet of Things
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The Internet of Things has become an integral part of modern society and continues to grow and evolve. The devices are expected to operate in various conditions and environments while securely transmitting sensor data and keeping low manufacturing costs. Security for the Internet of Things is still in its infancy and a serious concern. READ MORE
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3. Batch sizing in production : A case study on batch sizing at the press lines at Volvo GTO in Umeå
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Volvo GTO is currently interested in reducing their batch sizes at the press operation in Umeå. Where a large number of different cab parts are currently produced for trucks on two different production lines that interact with each other. READ MORE
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4. Presence detection by means of RF waveform classification
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This master thesis investigates the possibility to automatically label and classify radio waves for presence detection, where the objective is to obtain information about the number of people in a room based on channel estimates. Labeling data for machine learning is time consuming and tedious process. To address this two approaches are evaluated. READ MORE
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5. Safe Reinforcement Learning for Remote Electrical Tilt Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The adjustment of the vertical tilt angle of Base Station (BS) antennas, also known as Remote Electrical Tilt (RET) optimization, is a simple and efficient method of optimizing modern telecommunications networks. Reinforcement Learning (RL) is a machine learning framework that can solve complex problems like RET optimization due to its capability to learn from experience and adapt to dynamic environments. READ MORE