This work deals with membrane separation processes, their modelling and optimal control. A self-optimizing control is introduced, a method proposed by Johannes Jäschke (NTNU, Norway) to control heat exchanger network by controlling "Jäschke temperatures". This type of self-optimizing control is applied to control membrane processes, specifically membrane contactor network. This network consists...

Deep learning has achieved substantial improvement on single-channel speech enhancement tasks. However, the performance of multi-layer perceptions (MLPs)-based methods is limited by ability to capture long-term effective history information. The recurrent neural networks (RNNs), e.g., long short-term memory (LSTM) model, are able temporal dependencies, but come with issues high latency and comp...

The fine state of targets can be represented by the extracted micro-Doppler (m-D) components from radar echo. However, current methods do not consider specialty m-D components, and their performance with non-sinusoidal is poor. In this paper, a neural network applied to signal extraction for first time. Inspired semantic line detection in computer vision, transformed into network-based time–fre...