The article is dedicated to advancing technologies in chaotic optical communication and investigating chaotic laser generation in measurement systems and instruments. It conducts an analysis of the informational potential of chaotic signals in the optical range and explores the feasibility of implementing chaotic dynamics in lasers. It is demonstrated that among the current challenges are precision and stable generation of chaotic laser modes, as well as precision and stable synchronization of chaotic laser generators. The definition of chaotic modes is proposed as a set of characteristic types of chaotic oscillations that are stable, distinguishable, and reproducible within an oscillatory system, along with a method for estimating the number of modes and their designation. A method for modulating pump energy using a Chua generator is suggested. Additionally, a model for precision control of chaotic laser generation is proposed, allowing for the generation of chaotic laser modes with the ability to measure and control laser emission parameters and chaotic dynamics based on monitoring small changes in control parameters and influencing factors.
One of the interesting areas of optical-electronic instrument engineering is the design of coherent optical spectrum analyzers, the principle of operation of which is based on performing the Fourier transformation by a lens. When choosing components for designing the optical system of a coherent spectrum analyzer, it is important to find a compromise between the accuracy of measurements and the cost of the device. In some cases, for example, for research at universities, it is advisable to use inexpensive blocks from household appliances and computer peripherals to create laboratory models of spectrum analyzers. In the article, inexpensive designs of optical spectrum analyzers are proposed, which ensure the acquisition of spatial-frequency spectra of images in real time. One of the variants of such structures is a nozzle for a digital camera.
KEYWORDS: Animals, Modeling, Digital photography, Color, Evolutionary algorithms, Artificial intelligence, Systems modeling, Visualization, Computer simulations, RGB color model
The object of the study is the procedure for modeling adaptive strategies for the functioning of the protective coloration of a frog (Pelophylax esculentus) using Altshuller’s innovation algorithm. Verbal modeling by means of the Altshuller’s innovation algorithm using natural language was duplicated by the use of artificial intelligence tools. The systemic aspects of the functioning of the protective coloration of animals are extremely complex. This complexity sometimes creates obstacles of a fundamental nature for their formalized description. We are talking about a formalized description by means of mathematics and computer science. This problem can be solved by using verbal modeling by means of natural language. In particular, the means that are used in the Altshuller’s innovation algorithm. With the use of these means were formulated: the ideal goal of the functioning of the leaking coloration of the animal, the contradiction that impedes the achievement of this goal, the way to resolve this contradiction. As a goal, an adaptive strategy for the functioning of the protective coloration of the animal, which ensures its camouflage and prevents its unmasking, was adopted. The achievement of this goal is hampered by the contradiction in the requirements for the diversity of the protective coloration of the animal. The approach presented in this paper to the study of adaptive strategies for the functioning of the protective coloration of animals is interesting for the development of remote (aerospace) methods for recording aquatic animals.
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