Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal IJOT
Toxirjonovich, O’rinov Nodirbek
Unknown Affiliation
Automotive Engineering Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Adaptive neuro - fuzzy model for assessing the reliability of component software systems Toxirjonovich, O’rinov Nodirbek; o'g'li, Nabiyev Sherzodbek Nurmuhammad
International Journal on Orange Technologies Vol. 3 No. 5 (2021): IJOT
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Although many algorithms and methods have been developed for assessing the reliability of component software systems (CBSS), much more research is needed. An accurate assessment of the reliability of CBSS is difficult because it depends on two factors: the reliability of the components and the reliability of the glue code. Moreover, reliability is a real-world phenomenon associated with many real-time problems. Soft computing techniques can help solve problems for which solutions are uncertain or unpredictable. A number of soft computing approaches have been proposed to assess the reliability of CBSS. These methods learn from the past and capture existing patterns in the data. The two main elements of soft computing are neural networks and fuzzy logic. In this article, we propose a model for assessing the reliability of CBSS, known as Adaptive Neural Fuzzy Inference System (ANFIS), which builds on these two basic elements of soft computing, and compare its performance to that of a simple FIS (Fuzzy Inference System) for different datasets
3D Modeling and Computer Graphics in Virtual Reality Toxirjonovich, O’rinov Nodirbek; o‘g‘li, Djuraboyev Maqsudbek Karimbek
International Journal on Orange Technologies Vol. 3 No. 8 (2021): IJOT
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v3i8.2125

Abstract

In the era of digital information technologies, 3D modeling and computer graphics techniques not only apply to the development of virtual models for computer simulation, artificial intelligence (AI), big data analytics, etc., but also they can be applied in many different applications in virtual reality (VR). However, the computer graphics effect and visual realism are usually the trade-offs with the real-time and realistic interaction in VR. In this book chapter, we would like to review the general flow of the VR program development process, and the recent 3D modeling and texture painting techniques used in VR. On the other hand, we would introduce some of the key 3D modeling and computer graphics techniques that can be applied in VR in order to enhance the speed of interaction. The key techniques including smoothing techniques and mesh editing modifiers are not only useful for the designers to learn the 3D modeling process, but it also helps to create less complex mesh models maintaining good visual effects. The techniques are particularly important in the development of 3D models to satisfy the demanding computation requirement of real-time interaction in VR program.
Co-Authors o'g'li, Nabiyev Sherzodbek Nurmuhammad o‘g‘li, Djuraboyev Maqsudbek Karimbek