Asroriddin Kasimov

NamDU - Ilmiy axborotnomasi Mazkur ilmiy ishda qatlamli silikat materiali sifatida tabiiy Vermikulit asosida yuqori darajada to‘ldirilgan organo-noorganik polimer kompozit materiallar sint...

Adaptive AR/VR interfaces are crucial for wearable computing, aiming to deliver a context-aware and personalized user experience. Existing adaptation approaches based on static policies or minimal contextual knowledge often fall short in dynamically adapting to ever-changing cognitive and behavioral patterns. This paper presents a Self-Evolving Neural Policy Algorithm (SENPA) for adaptive AR/VR interfaces, which enables continual optimization of interaction strategies based on multi-modal user data in real-time. A wearable system incorporating eye tracking, motion sensing, physiological sensors, and contextual data was developed to model the cognitive-behavioral state. The proposed SENPA system integrates neural policy learning and an evolutionary optimization algorithm for continuous policy improvement and personalized interface adaptation. The performances of SENPA and DQN, PPO, SAC, and A3C learning approaches were evaluated in a wearable AR/VR experimental environment. Experimental results showed that SENPA achieved the best performance in attention retention rate (93.8%), task completion rate (97.2%), rendering performance (94 FPS), and network throughput (101 Mbps). According to one-way ANOVA statistical tests, there are significant differences (all p < 0.001) in the four learning approaches on these four major performance metrics. The ablation study demonstrates the significant impact of the cognitive modeling, behavioral analysis, evolutionary learning, and adaptive rendering components of SENPA. This suggests that SENPA improves cognitive engagement, behavioral interaction, and system reactivity effectively in a wearable AR/VR context and shows great potential for future work.

This article is dedicated to substantiating the movement path of the semicylindrical mold in a device for preparing seedling planting cups. It emphasizes that modern agriculture cannot be imagined without mineral fertilizers, which play a crucial role in increasing crop yields. However, improper or excessive use of these fertilizers leads to various negative consequences, such as soil salinization and degradation. Excessive use of nitrates and phosphates disrupts the chemical balance of the soil, and prolonged application reduces the natural fertility of the soil. Insoluble compounds accumulate in the soil, causing phosphate fertilizers to react with iron, aluminum, or calcium, making phosphorus unavailable for plant uptake. To address these undesirable effects positively, the theoretical analysis results of a device for preparing seedling trays using biohydrohumus are presented. In addition, theoretical studies have determined that the surface area of the groove where the biohumus falls into the compression cylinder is S = 96 sm2; the installation angle of the loading container on the compression cylinder, calculated according to the expression, is α = 420; the pushing path of the biohumus is ls =9 sm; the length of the protective plug is lx = 23 sm, the length of the compression cylinder is lu = 56 sm; the inner diameter of the semicylindrical molds is Qd = 10 sm; the opening gap of the semicylindrical molds is LQ =16 sm; the installation spacing of the driving pneumatic cylinders of the semicylindrical molds is Lo = 36 sm; and the working surface area of the compression cylinder in friction with the biohumus is Ss = 628 sm2

This paper examines the working chamber of a crusher with a horizontal rotor arrangement, on which there are rectangular cross-section grooves used to move and crush grain material; for the same purpose, there are grooves on the upper disk. To study the movement of a grain particle along a lateral face and along a groove, differential equations were compiled. After the corresponding statements on these equations, the corresponding systems of equations were obtained. For the numerical and graphical implementation of the system of equations, the corresponding machine programs were compiled in the system "matlab". The prepared programs allow for the study of particle movement along the side surface and bottom of the rotor groove in numerical and graphical forms.