This article discusses the issues of geometric modeling of furniture objects with fractal structures based on the iterative function system (IFS). The study analyzes the specific properties of fractal geometry, in particular, the principles of self-similarity, scalability, and recursion. The importance of fractal modeling in furniture and interior design, as well as its aesthetic and functional advantages, are substantiated. The work considers algorithms for generating fractal shapes using the iterative function system proposed by Barnsley, and reveals the possibilities of creating complex geometric structures through affine substitutions.
| Mualliflar | Ismailova, Saodat, Anarova, Sh.A. |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2026-05-30 |
| Son | 2 |
| Betlar | 241-246 |
| Til | Rus |
Fraktal geometriya,, iteratsion funksiyalar tizimi (IFS), geometrik modellashtirish, mebel dizayni, interyer dizayn, affin almashtirishlar, o‘z-o‘ziga o‘xshashlik, oltin nisbat, parametrik dizayn, algoritmik modellashtirish., geometrik modellashtirish,, algoritmik modellashtirish, mebel dizayni, Fractal geometry, iterative function system (IFS), geometric modeling, furniture design, interior design, affine permutations, self-similarity, golden ratio, parametric design, algorithmic modeling
In this research, machine learning algorithms including Logistic Regression, Random Forest, XGBoost, and Artificial Neural Networks were evaluated and compared. Experimental results demonstrated that the integrated…
This article discusses theoretical foundations of digital image preprocessing algorithms, their software implementation, and performance evaluation. Image quality degradation caused by noise, low contrast, and blurring…
Ushbu maqolada bir o'lchovli termoelastik jismning matematik modeli va uning sonli simulyatsiyasi muhokama qilinadi. Termoelastik jarayonlarni tavsiflovchi differentsial tenglamalar chekli farq usuli yordamida…
Recent studies in cognitive neurobiology have shown that biological neurons interact with each other through multiple neurotransmitter channels: a single neuron simultaneously secretes different neurotransmitters, each…
The principle of development of a perfect multisensor system integrated with unmanned aerial vehicles for the purpose of accurate and operational monitoring of various objects is considered. The system collects current…
Dimensionality reduction is one of the important problems in machine learning and intellectual data analysis, especially when objects are described by mixed-type features measured in different scales. Methodology for…
This article proposes a quantum-resilient adaptive network security model for IoT and edge computing infrastructures. The model integrates firewalls, IDPS, Zero Trust, post-quantum cryptography, and resource-aware…
This paper describes a hybrid quantum-classical system for solving the Capacity-Constrained Vehicle Routing Problem (CVRP) using a real-world distribution network in Samarkand, Uzbekistan.The problem is formulated as a…
This article analyzes the problem of pixel-level separation of crop plants from weeds in agricultural images. In this study, the semantic segmentation models DeepLabV3+, U-Net, and U-Net++ were evaluated under identical…
Paper addresses the problems of histological image segmentation and morphometric feature extraction. Manual analysis of histological images is time-consuming and prone to subjective errors, making automation highly…