https://integrumpublication.org/index.php/ajste/issue/feed 2025-12-31T12:25:15+05:00 Matteo Peters integrumpublication@gmail.com Open Journal Systems <p>The Academic Journal of Science, Technology and Education (ISSN 3041-7848) is a peer-reviewed, open-access international journal dedicated to advancing knowledge at the intersection of scientific inquiry, technological innovation, and educational practice. The journal publishes original research articles, reviews, and case studies that explore the integration of scientific methods, emerging technologies, and pedagogical strategies to enhance learning, teaching, and societal development. The journal welcomes interdisciplinary contributions from scholars, educators, technologists, and practitioners, aiming to foster critical dialogue and promote the application of research-based solutions to contemporary challenges in education and STEM fields.</p> https://integrumpublication.org/index.php/ajste/article/view/118 2025-12-31T12:22:45+05:00 Mohichehraxon Khusniddin qizi Ganijonova

This article analyzes modern approaches to the application of artificial intelligence (AI) technologies in the automation of technological processes in industry and manufacturing. The role and advantages of machine learning methods, neural networks, expert systems, and digital twin technologies in automation systems are examined. In addition, the potential for improving efficiency, saving resources, and reducing the impact of the human factor through the implementation of AI-based control systems is discussed. The article is intended for researchers and specialists working in the fields of industrial automation and intelligent control systems.

2025-12-31T00:00:00+05:00 Copyright (c) 2025 https://integrumpublication.org/index.php/ajste/article/view/119 2025-12-31T12:22:49+05:00 Alimardon Sultanovich Kholikov

This article analyzes the theoretical and practical foundations of creating a computer-based teaching system in physics for training engineering personnel managing industrial enterprises. The advantages of the computer-based teaching process, its role in technical education, integration capabilities, and mechanisms for assessing student knowledge are highlighted. According to the results of the study, the computer-based teaching system increased the effectiveness of teaching by 25-30 percent.

2025-12-31T00:00:00+05:00 Copyright (c) 2025 https://integrumpublication.org/index.php/ajste/article/view/120 2025-12-31T12:22:52+05:00 Akbar Faxraddin o‘g‘li Xakimov xakimovakbar2005@gmail.com Oybek Olim o‘g‘li Xolmatov

Air pollution has become one of the most critical environmental and public health challenges worldwide, particularly in rapidly urbanizing regions. Recent advances in mobile technologies and sensor systems have enabled new approaches for real-time, low-cost, and large-scale air quality monitoring. This study reviews and analyzes recent innovations in air pollution detection based on mobile platforms and sensor technologies. Emphasis is placed on the integration of low-cost gas sensors, particulate matter sensors, Internet of Things (IoT) architectures, and mobile devices such as smartphones and portable monitoring units. The paper discusses data acquisition methods, sensor calibration challenges, wireless communication techniques, and the role of cloud-based data processing and visualization. Furthermore, the potential of mobile sensing systems to enhance spatial coverage, increase public awareness, and support smart city and environmental management applications is evaluated. The findings indicate that mobile and sensor-based air quality monitoring systems provide a promising alternative to traditional stationary monitoring stations, despite existing limitations related to accuracy, sensor drift, and environmental influences.

2025-12-31T00:00:00+05:00 Copyright (c) 2025 https://integrumpublication.org/index.php/ajste/article/view/121 2025-12-31T12:22:56+05:00 Mashxurbek Jalilov mashkhurbekjalilov@gmail.com

This paper presents the integration of XArm collaborative robots with Tenzo force and tension sensors to develop an intelligent and force-sensitive manipulation system. The primary objective of this research is to enhance robotic grasping accuracy, safety, and adaptability by incorporating real-time force feedback. XArm robots provide high precision, modular design, and open application programming interfaces (APIs), while Tenzo sensors enable accurate measurement of mechanical forces and deformations. The proposed system combines hardware and software integration techniques, including sensor signal processing and adaptive control algorithms. Experimental results demonstrate that the integration of Tenzo sensors significantly improves grasp stability, reduces object damage, and enhances human–robot interaction safety.

2025-12-31T00:00:00+05:00 Copyright (c) 2025 https://integrumpublication.org/index.php/ajste/article/view/122 2025-12-31T12:22:59+05:00 Z.M.Sokhibova

Silicon remains the dominant semiconductor material in modern microelectronics due to its well-established processing technology and favorable physical properties. This paper investigates the chemical processing techniques applied to silicon and analyzes their fundamental physical mechanisms. Particular attention is given to wet and dry chemical etching, thermal oxidation, and doping processes, which play a critical role in surface morphology control and electrical property optimization. The influence of oxide layer thickness, surface states, and defect-induced recombination centers on carrier transport characteristics is discussed. The analysis demonstrates that precise control of chemical processing parameters significantly enhances device reliability and performance in MOS structures, integrated circuits, and photovoltaic applications.

2025-12-31T00:00:00+05:00 Copyright (c) 2025 https://integrumpublication.org/index.php/ajste/article/view/123 2025-12-31T12:23:03+05:00 Adakhamjon Nematov mukhammadjonovich98@gmail.com

Modern agriculture faces critical challenges related to efficient resource management, climate resilience, and productivity growth. These challenges are increasingly being addressed through artificial intelligence (AI)-based technologies. This article analyzes modern approaches to intelligent automation of agricultural technological processes using AI within the context of digital agriculture development in Uzbekistan. The study examines AI-driven solutions for irrigation management, crop monitoring, early disease detection, and yield prediction. Deep learning techniques applied to drone and satellite imagery enable accurate assessment of crop vegetation conditions, while AI systems integrated with IoT sensors optimize water and fertilizer consumption. In addition, expert systems provide real-time, data-driven recommendations to farmers. Experimental studies conducted in different agricultural regions of Uzbekistan demonstrate that AI-based intelligent systems significantly reduce resource consumption while maintaining stable crop yields. The results confirm that artificial intelligence is a key technological driver for sustainable and competitive agricultural development.

2025-12-31T00:00:00+05:00 Copyright (c) 2025 https://integrumpublication.org/index.php/ajste/article/view/124 2025-12-31T12:23:08+05:00 Ulugbek Kuchkarovich Sabirov uqsabirovasu1951@gmail.com

This paper investigates the application of multi-criteria decision-making (MCDM) models in dairy product storage processes. The study considers key decision criteria, including temperature, relative humidity, CO₂ concentration, energy consumption, and product quality and safety. The Analytic Hierarchy Process (AHP) is employed to determine the relative importance (weights) of the decision criteria based on pairwise comparisons, while the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is applied to rank alternative storage strategies by measuring their distances from ideal and anti-ideal solutions. In addition, fuzzy logic is used to address uncertainty and variability in storage conditions under real operational environments. The results demonstrate that the integrated application of AHP, TOPSIS, and fuzzy logic enables the selection of an optimal storage strategy that ensures product quality preservation, improves energy efficiency, and maintains microbiological safety. The proposed approach provides a scientifically grounded and practical decision-support framework for optimizing dairy product storage systems.

2025-12-31T00:00:00+05:00 Copyright (c) 2025 https://integrumpublication.org/index.php/ajste/article/view/125 2025-12-31T12:23:12+05:00 Shunqorjon Toshpulatovich Toshmatov shunqorjon.toshmatov@gmail.com

Audio power amplifiers (APAs) are essential for high-fidelity sound reproduction, requiring high linearity and low total harmonic distortion (THD). Three-stage Class B amplifier architectures are widely used due to their efficiency, simplicity, and high output power capability; however, achieving low distortion across the entire audio frequency range remains challenging. This paper presents an analysis of distortion mechanisms in a conventional three-stage Class B audio power amplifier comprising a differential input stage, a voltage amplifier stage, and a push-pull output stage. Seven major sources of distortion are identified and examined. The frequency dependence of THD is evaluated, showing minimal distortion at low frequencies and a significant increase at mid- and high-frequency ranges due to the interaction of multiple nonlinear effects. The results provide practical insights for improving linearity and reducing THD in Class B audio power amplifier design.

2025-12-31T00:00:00+05:00 Copyright (c) 2025 https://integrumpublication.org/index.php/ajste/article/view/126 2025-12-31T12:23:17+05:00 Ildar Rafkatovich Sultanov ryunusd@gmail.com

The article discusses the application of model-based predictive control (MPC) using a multi-input, multi-output (MIMO) model to control a distillation process. It is shown that the MPC approach effectively accounts for the multi-connectivity of the distillation column's process variables, constraints on control actions, and disturbances, ensuring improved control quality and process energy efficiency.

2025-12-31T00:00:00+05:00 Copyright (c) 2025 https://integrumpublication.org/index.php/ajste/article/view/127 2025-12-31T12:23:21+05:00 Tursunoy Abdipatto qizi Sobirova tursunoy.sobirova.1993@mail.ru

The current issue of the present era is the development of renewable energy sources due to the increasing demand for energy resources and the limitation of traditional fuel sources. In this article, the main photovoltaic parameters of silicon-based solar cells were determined experimentally using the Edibon educational laboratory device. During the research, the current-voltage and power-voltage characteristics of the solar cell were measured under various illumination conditions. Based on the experimental results, important photovoltaic parameters such as short-circuit current, open-circuit voltage, maximum power point, filling factor and useful work coefficient were calculated. The results obtained using the Edibon device were compared with theoretical values, and the dependence of the efficiency of silicon-based solar cells on illumination intensity and temperature was analyzed. The results of the research are of great importance for improving the educational process in the field of renewable energy sources and in-depth study of the performance characteristics of solar cells.

2025-12-31T00:00:00+05:00 Copyright (c) 2025 https://integrumpublication.org/index.php/ajste/article/view/128 2025-12-31T12:25:15+05:00 Botirjon Tursinboyevich Kholmurotov xolmurotovbotirjon@gmail.com

This article presents the results of determining the amount of heat and mass exchange in the cotton drying process, the dynamics of the movement of the cotton mass, and the movement of the drying agent in the dryer chamber.

2025-12-31T00:00:00+05:00 Copyright (c) 2025