Journal of Natural Sciences and Technologies

MATHEMATICAL PHYSICS METHODS IN MODEL PROBLEMS OF RECEIVE AND TRANSMISSION BY SLOT BROADBAND ANTENNAS

2025-06-28T19:53:37+03:00

Electromagnetic rigorous formulation boundary problem for a semiinfinite slotted semitransparent cone is considered. Sources of electromagnetic field are radial electric or magnetic dipoles. Slots are periodically cut along the cone generatrices. The solution method combines the Kontorovich-Lebedev integral transformations and a singular integral equation (SIE) method. Analytical and numerical solutions are given. Semitransparent surface influence and a slot effect on basic electromagnetic characteristics are studied.

SUPPORT SYSTEMS FOR ROBOTICS: PRINCIPLES, ALGORITHMS AND DEVELOPMENT PROSPECTS

2025-12-23T21:23:32+03:00

The article explores the current state and prospects for the development of decision support systems in robotics. It examines the fundamental principles of building such systems, in particular hierarchy, information integration, adaptability, and others. The main algorithmic approaches are analyzed, including Q-learning, neural networks, Markov processes, genetic algorithms, fuzzy logic, and Bayesian networks. Mathematical models and examples of practical applications of each algorithm are provided. A comparative analysis of the effectiveness of various algorithmic solutions is conducted based on the criteria of adaptability, speed, and implementation complexity. The advantages and limitations of each approach are identified in the context of specific robotics tasks. Prospective directions for the development of DSS are outlined, focusing on integration with modern deep learning technologies, cloud computing, and quantum systems. The research has theoretical and practical value for the development and improvement of autonomous robotic systems in various fields of application, from industry to medicine. The results of the work can be used in the design of new and modernization of existing decision support systems in robotics.

MANAGEMENT MODELS BASED ON FUZZY CLASSIFICATION OF TECHNOLOGICAL OBJECT STATES

2025-10-23T13:51:37+03:00

The article proposes a principle of situational management implemented on the basis of fuzzy classification of states of technological objects using fuzzy cluster analysis. The results obtained in the work are the theoretical basis for the development of models for technological process management in the production of technical automation equipment in conditions of insufficient and/or fuzzy information.