Methods for Constructing High-precision Potentiometric Measuring Instruments of Ion Activity

Optical parallel-hierarchical structures of correlation interactions multistage process analysis for organization of neuro-like computing

“…The concept of formation of PH network suggests a multistage process of consecutive transformation of the correlated and formation of the decorrelated 14,15,16 in time of elements of the physical environment at its transition from one stable state to another 17,18 . * timchen@gmail.com; phone 044 463 74 70 Let the physical environment be described by the digital information set in the form of sets:…”

“…At the moment of time 𝑡 12 and 𝑡 14 the sets 𝑀 5,212 and 𝑀 5,314 will be transformed by the above algorithm. As a result, the first sublevel ends at the moment of time 𝑡 14 , because 𝑀 5,114 ≠  the second sublevel ends at the moment of time 𝑡 16 , because 𝑀 5,216 ≠ ;the third sublevel ends at the moment of time 𝑡 18 , because 𝑀 5,318 ≠ . And so on.…”

Using multiple optical cameras for correspondence identification between objects in the fields of view

“…After obtaining descriptors for key points on each image, the next step is to match descriptors between pairs of images captured by different cameras. Comparing a pair of images is primarily done using a distance-based matching method, which involves computing distances between all possible pairs of descriptors, denoted as ρ(di, d´j), d represents the descriptor of the first image with feature vector αk, d´ represents the descriptor of the second image with feature vector α´k, ∀𝑑 𝑖 ∈ 𝐷, ∀𝑑 𝑖 ∈ 𝐷´𝑗 ∈ 𝐷´, 𝑖 = 1 … |𝐷|, 𝑗 = 1 … |𝐷´|, the dimensionality of the feature vector |K| is determined based on the specific point description method being employed 28,29,30 .…”

Parallel-hierarchical optical network as a model of natural neural network

“…Intelligent systems were initially no more than a caricature of human decision-making. Here, a new idea of a structural representation of pyramidal information processing based on a parallel-hierarchical (PH) network model is proposed 13,14,15 .…”

“…Computational modelling of brain-like functions carried out over the past 70 years has been marked by tremendous achievements. From Rosenblatt's early work ("Perceptron") 11 to more recent studies on methods and functions of knowledge representation, such as ("Hopfield Networks", Back Propagation) 13 , there was no formal description for analysing the behaviour of collective structures, similar to the interaction of sets of neurons. There are quite a few independent studies that focused on researching memory structures, visual perception, speech recognition, handwriting, etc., such as applications or specific models of cortical function in biological systems -typically in small applications (lobster's gastro-intestinal system, motion detection circuits in crickets, etc.).…”