This paper analyzes the maximum power that a kite, or system of kites, can extract from the wind. Firstly, a number of existing results on kite system efficiency are reviewed. The results that are generally applicable require significant simplifying assumptions, usually neglecting the effects of inertia and gravity. On the other hand, the more precise analyses are usually only applicable to a p...

Dynamic adaptive streaming over HTTP (DASH) has become a promising solution for video delivery services over the Internet in the last few years. Currently, several video content providers use the DASH solution to improve the users’ quality of experience (QoE) by automatically switching video quality levels (VQLs) according to the network status. However, the frequency of switching events betwee...

The early screening of glaucoma is important for patients to receive treatment in time and maintain eyesight. Deep learning (DL) based models have been successfully used computer-aided diagnosis (CAD) glaucoma. However, a DL model pre-trained on certain dataset from one hospital may poor performance other data, therefore its applications the real scene are limited. In this paper, we propose sel...

This paper considers the indirect adaptive control of systems with physical element values as the unknown parameters. Conventionally, both direct'-3 and controllers for linear, time-invariant, finite-order systems presuppose a complete lack of knowledge about the unknown system, aside sometimes from the order and relative order. Consequently, they implicitly estimate the numerator and denominat...

The paper shows the methods for imaging power spectral density of speech and extracting formant frequencies from continuous voice. The methods will be used to improve the patients' rehabilitation after the total laryngectomy surgery. The adaptive algorithms and transversal filters were implemented to estimate the transfer function of human vocal tract model. The estimation methods were based on...