Working memory (WM), a key determinant of many higher-order cognitive functions, declines in old age. Current research attempts to develop process-specific WM training procedures, which may lead to general cognitive improvement. Adaptivity of the training as well as the comparison of training gains to performance changes of an active control group are key factors in evaluating the effectiveness...

In this contribution a new noise reduction scheme for multi-microphone speech enhancement, called Adaptive Post-filter Extension for Superdirective beamformers (APES), will be introduced, The combination of the superdirective beamformer and the adaptive post-filter has a great potential to suppress diffuse noise. It also outperforms all related algorithms in terms of noise reduction, without in...

This paper uses the mutual information (MI) transfer metric to characterize the behavior of an adaptive turbo equalization scheme. We consider recursive systematic convolutional coding at the input to a multipath fastfading channel. The equalizer is a recent adaptive, nearoptimal APP algorithm that incorporates MMSE channel estimation. We develop design rules for this turbo equalizer using EXIT...

Transfer algorithms allow the use of knowledge previously learned on related tasks to speed-up learning of the current task. Recently, many complex reinforcement learning problems have been successfully solved by efficient transfer learners. However, most of these algorithms suffer from a severe flaw: they are implicitly tuned to transfer knowledge between tasks having a given degree of similar...

This paper presents an adaptive control scheme for the four legged walking machine BISAM. The task of the adaptive control is to learn sensor based reflexes for posture control. For this purpose, an incremental learning scheme is developed based on reinforcement learning. For the planned trajectory of the CoM the data taken from a goat are chosen as a basis, to investigate the transfer potentia...

For high quality factor magnetically coupled resonator wireless power systems, constant wireless power transfer efficiency can be achieved over a greater range and higher efficiency than an inductively coupled system. However, as the distance varies between two near-field resonators, the input and output impedances to the resonators change. Therefore, in order to achieve constant efficiency, th...

In this work, we study the intrinsic complexity of black-box UC secure computation based on general assumptions. We present a thorough study in various corruption modelings while focusing on achieving security in the CRS model (and related setups). Our results involve the following: • Static UC secure computation. Designing the first static UC secure oblivious transfer protocol based on public-...

The efficacy of working-memory training is a topic of considerable debate, with some studies showing transfer to measures such as fluid intelligence while others have not. We report the results of a study designed to examine two forms of working-memory training, one using a spatial n-back and the other a verbal complex span. Thirty-one undergraduates completed 4 weeks of n-back training and 32 ...

In the present study, Adaptive Neuro–Fuzzy Inference System (ANFIS) approach was applied for predicting the heat transfer and air flow pressure drop on flat and discontinuous fins. The heat transfer and friction characteristics were experimentally investigated in four flat and discontinuous fins with different geometric parameters including; fin length (r), fin interruption (s), fin pitch (p), ...