A new method for constructing a digital water-marking based on the Ateb-functions is proposed. This new approach belongs to methods of protecting images based on hiding data in the frequency domain. It is a generalization the well-known method using Fourier transform. The proposed method, based on the two dimension Discrete Ateb Transform is resistant to most types of attacks. Our experiments prove its efficiency and stability.

Machine learning and AI has been a trending topic for many years already. However, it is well known the challenges companies are facing to deploy robust solutions taking advantage of this kind of algorithms. The gap between R&D and IT-organisation is still latent, and until both of them don't get to a common point in which the cost and complexity of deploying AI-based solutions are well understood, the possibilities to extract all the value from data are diminished.

We call the bioelectric signal an electrical signal that arises in the tissues of living organisms. In particular, the signal generated in the complex functional system of the smooth muscle is interesting and described using EMG. The electromyogram reflects the bioelectrical activity of the smooth muscle of the reproductive system in the form of bioelectric activity recording preceding each systolic activity. At the same time, not all EMG activity triggers systolic activity.

The central limit theorem (CLT) and the law of the iterated logarithm (LIL) are, along the strong law of large numbers (SLLN), the most common limit theorems. Some well-known results concerning limit theorems, obtained mainly due to the martingale method, are gathered in [1]. Although the asymptotic behaviour of stationary and ergodic Markov chains is already well investigated, limit theorems for a wider class of Markov processes are still the subject of research.  Together with D. Czapla and K.

Since March 1st 2018 ITAI PAS together with AIUT company executes the project "Dynamic wireless framework for Smart City IoT infrastructure". The aim of the project is the development of the devices and the platform for data harvesting from the meters which provide dynamically managed, auto-configured wireless connectivity for the Internet of Things (IoT), which fulfill SmartCity needs.