Acta of Turin Polytechnic University in Tashkent

Big Data-Based Multivariate Correlation and Regression for Energy Performance Analysis in Buildings

KHAMIDULLA KHABIBULLAEV, Shokhjakhon Abdufattokhov, Nurilla Mahamatov — Mon, 14 Jul 2025 00:00:00 +0000

Accurate prediction of electricity consumption is critical for optimizing energy usage and enabling effective energy management strategies, particularly in the context of modern smart buildings. This study proposes a predictive modeling approach based on neural networks to forecast future electricity consumption in buildings. Leveraging big data and advanced machine learning techniques, we developed a data-driven model specifically tailored to the operational environment of Turin Polytechnic University in Tashkent. The model achieved a prediction accuracy of up to 96%, demonstrating the potential of neural network-based methods for efficient energy forecasting. This research contributes to the growing field of intelligent energy systems by showcasing how multivariate correlation, regression analysis, and neural network modeling can support sustainable and efficient energy use in buildings.

Methods of ensuring Network Security

Iqbol Karimova — Mon, 14 Jul 2025 00:00:00 +0000

In the evolving digital era, network security remains a critical domain for protecting sensitive data and ensuring system
integrity. This study delves into foundational strategies, including the implementation of firewalls, intrusion detection systems (IDS),
and encryption techniques, to mitigate the risks posed by cyber threats. It highlights the integration of advanced technologies such
as next-generation firewalls (NGFWs) and artificial intelligence for dynamic threat detection and management. Furthermore, the research emphasizes robust user authentication and access control mechanisms as pivotal defenses against unauthorized access. By exploring modern trends like zero-trust architecture and quantum-safe encryption, this paper underscores the importance of a proactive and multifaceted approach to cybersecurity. The findings advocate for continual adaptation to emerging threats, fostering a resilient digital environment that safeguards organizational assets and builds stakeholder trust.

EVALUATING 3D SCANNING AND PRINTING FOR THE RESTORATION OF DAMAGED ARCHITECTURAL DETAILS IN TASHKENT'S MEMORIAL MONUMENTS

Erkin Khaltursunov — Mon, 14 Jul 2025 00:00:00 +0000

This article explores the use of 3D scanning and printing technologies in the restoration of damaged architectural elements in Tashkent's Soviet-era memorial monuments. Combining fieldwork, computational modeling, and experimental reconstruction, the research assesses the effectiveness of these technologies in preserving cultural heritage. The findings demonstrate that 3D technologies offer significant advantages in accuracy, efficiency, and material compatibility, positioning them as crucial tools for modern conservation practices.

EVALUATION OF THE RELIABILITY OF FIBER-OPTIC INFORMATION TRANSMISSION SYSTEMS BASED ON THE LAWS OF FAILURE DISTRIBUTION

Nafisa Juraeva — Mon, 14 Jul 2025 00:00:00 +0000

The influence of various failure distribution laws on the reliability of fiber-optic data transmission systems (FODTS) components is analyzed. The article discusses the failure distribution laws applicable to hardware and software components of the system, which allow taking into account their interaction and mutual influence on the overall reliability of the system. As a methodology, reliability assessment models are used, in particular, the exponential distribution, the Weibull distribution, and the Musa- Okumoto software reliability model. Formulas for assessing the overall reliability of the system and probability density functions are given, allowing a more complete picture of the stability and reliability of the FODTS under operating conditions.

THE MAGNETIC FIELD IN THE AIR GAP IN THE PRESENCE OF ROTOR ECCENTRICITY IN ALTERNATING CURRENT TRACTION MOTORS

Mirabror Vokhidov — Mon, 14 Jul 2025 00:00:00 +0000

This study focuses on analyzing the effects of eccentricity on the magnetic field characteristics of asynchronous motors. The paper investigates the air gap variations under static and dynamic eccentricity conditions and presents mathematical models to quantify these variations. Static and dynamic rotor eccentricities are analyzed, highlighting their impact on the harmonic components of air gap permeability and magnetic flux distribution. Key findings demonstrate that harmonic distortions caused by eccentricity require careful consideration during the design and diagnostics of motors to ensure efficient performance and prevent potential failures. Experimental data validate the proposed models, showing that accounting for higher-order harmonics provides more accurate estimations of air gap permeability and electromagnetic field behavior. The research contributes to improving motor diagnostics by offering advanced methods for analyzing eccentricity-induced phenomena

RELIABILITY ANALYSIS OF ASYNCHRONOUS TRACTION ELECTRIC MOTORS OF O‘Z-EL SERIES LOCOMOTIVES AND WAYS TO IMPROVE THEIR OPERATIONAL RELIABILITY

Abdulaziz Yusufov — Mon, 14 Jul 2025 00:00:00 +0000

This article examines the main methods for diagnosing and monitoring the technical condition of asynchronous traction motors, analyzing the impact of operational factors on their reliability and durability. Voltage asymmetry, instability of the power current, and dynamic loads lead to the deterioration of the technical condition of asynchronous traction motors of electric locomotives. The reliable operation of these motors is crucial for ensuring the efficient and uninterrupted operation of rolling stock. Analyzing their technical condition allows for the timely detection of faults and improvement of operational performance.

ENGINEERING PROGRAMS IN UZBEKISTAN ON THE VERGE OF FIFTH INDUSTRIAL REVOLUTION

Khasan Khankeldiyev — Mon, 14 Jul 2025 00:00:00 +0000

A researcher will cover the profound educational reforms in higher education institutions in the field of engineering programs in Uzbekistan.

Formally Verified IoT Architecture for Earthquake Detection and Automated Safety Measures

Jalolliddin Yusupov — Mon, 14 Jul 2025 00:00:00 +0000

This paper presents a novel IoT-based architecture designed for earthquake detection and automated safety response in smart homes. The system integrates a network of low-cost, high-precision seismic sensors and edge computing devices to enable real-time earthquake detection and rapid response. At its core, the architecture employs Node-RED for rule-based automation, ensuring seamless integration of IoT devices and enabling customizable safety protocols. To enhance reliability, formal verification techniques are applied to verify the correctness and consistency of the rules, ensuring robust and error-free operation during critical events. The proposed architecture has broad applications in smart home environments, particularly in earthquake-prone regions. By automating safety responses, the system reduces human intervention, mitigates risks, and enhances disaster resilience.

MODELING THE EFFECT OF A HYDROSTATIC REGENERATIVE BRAKING SYSTEM ON VEHICLE MOTION AND BRAKING

Takhirjan Pulatov — Mon, 14 Jul 2025 00:00:00 +0000

This paper presents the results of a mathematical modeling study on the influence of a hydrostatic regenerative braking system on vehicle motion and braking performance. The model accounts for resistance forces acting during vehicle movement, including wheel rotational resistance, aerodynamic drag, gravitational components, and forces generated by the hydraulic system. Using models developed in the MATLAB-Simulink environment, the vehicle’s acceleration, velocity, position, and pressure variations within the hydraulic system, as well as their time dependencies, were analyzed graphically. Additionally, the movement, torque, and flow of the hydraulic pump/motor components were evaluated to assess overall system efficiency. The study demonstrates that a hydrostatic braking system enables balanced control of vehicle motion, effective energy recovery, and reduction of operational costs. This approach is significant from the perspectives of environmental sustainability and fuel consumption reduction.

SIMULATORS FOR COMMUNICATION PROFESSIONALS: PRODUCTIVITY IMPROVEMENT, TRAINING, AND NEW MEASURES

Azamjon Soliev — Mon, 14 Jul 2025 00:00:00 +0000

This article explores the significance of simulators in enhancing the productivity of communication specialists by facilitating training and the implementation of new strategies. Simulators play a crucial role in refining professional skills and optimizing work efficiency. This study examines their effectiveness in education and professional development, highlighting their accuracy, reliability, and contribution to the adoption of innovative methods and technologies.

PROSPECTS OF APPLICATION OF SONO(CHEMICAL AND ELECTROCHEMICAL) METHODS IN THE SYNTHESIS OF METAL NANOPARTICLES

Abdurasul Yarbekov — Mon, 14 Jul 2025 00:00:00 +0000

Chemical sonochemical and sonoelectrochemical methods for producing copper nanoparticles are generalized and analyzed. The sonochemical method for the synthesis of CuO nanoparticles is a simple and effective method for obtaining nanoparticles in high yield. The size of nanoparticles varies from 45 to 80 nm depending on the ultrasonic treatment time and calcination temperature. CuO nanoparticles produced by ultrasound in less than 20 minutes produce particles with a size of about 80 nm, while if the reaction is extended to 30 minutes, the resulting particle size is 45 nm. The results will be inversely proportional in the sense that the size will increase after increasing the sonication time to 40 minutes. The morphology of nanoparticles also depends on the pH of the medium. When the pH is set to 8, the morphology appears like leaves, and after increasing the pH to 11, the morphology changes to a clumpy flower.

The sonoelectrochemical method makes it possible to synthesize chemically pure copper powders with unique and stable properties, controlled by the parameters of electrolytic deposition. Cu₂O nanoparticles were obtained by pulsed sonoelectrochemistry in a potentiostatic mode. When applying a current density range of 55 to 100 mA cm⁻², monodisperse spherical copper nanoparticles with a diameter of 25–60 nm were observed. The work is based on a voltametric study which showed that by applying potentials ranging from -0.65 (for sample A), -0.85 (for sample B) and -1 V/SSE (for sample C) the formation of a mixture can be avoided Cu₂O and Cu.