This article describes a neural network model for calculating the drying productivity of sunflower seeds in a combined drum dryer. Neural network modeling was performed in the Neural Networks Toolbox in Matlab. The adequacy of the constructed model to the experimental values was checked and compared.

This study presents the design and development of an innovative Air Conditioner Control System based on Fuzzy Logic. The use of Fuzzy Logic allows for intelligent and adaptive control, optimizing the performance of air conditioning units. By incorporating Fuzzy Logic algorithms, this system efficiently adjusts cooling and heating operations based on real-time environmental conditions and user preferences. The research highlights the application of Fuzzy Logic in enhancing energy efficiency, comfort, and adaptability in air conditioning systems, ultimately contributing to sustainable and intelligent HVAC solutions.

The article analyzes some provisions regarding complex systems. The concepts of a complex system from the point of view of an observer, researcher and manager (subject of management), structural and dynamic complexity of the system are given. Based on material from various sources, the requirements for the concept of system complexity are considered.

This article soft gas detection on the Arduino platform is an affordable and accessible approach to monitoring the presence of specific gases in the environment. This article provides a comprehensive guide on implementing soft gas detection using Arduino, covering key aspects such as gas sensor selection, wiring, calibration, data interpretation, and control logic implementation. By leveraging the capabilities of Arduino boards and compatible gas sensors, users can create reliable gas detection systems for various applications. The article highlights the importance of proper sensor calibration, data interpretation, and safety precautions when working with potentially hazardous gases. Soft gas detection on the Arduino platform offers a cost-effective solution for gas monitoring, making it suitable for hobbyists, students, and professionals alike.

This study presents an innovative approach to enhance facial recognition technology using contrastive convolutional neural networks (CNNs). The primary focus is on improving the accuracy and efficiency of face recognition systems under varying conditions. Key elements of this approach include meticulous data preparation and preprocessing, where images undergo normalization and diverse augmentation techniques to ensure quality inputs. The network architecture is designed to process pairs of face images, utilizing a common feature extractor and cascaded convolution layers for detailed feature representation. A specialized kernel generator further refines the process, emphasizing unique facial characteristics. The core of the training regimen is a contrastive loss function, optimized through gradient descent to enhance the network's discriminatory capabilities. Results from the study demonstrate a significant improvement in recognition accuracy, particularly highlighted by the superior performance of the proposed model in comparison to standard facial recognition algorithms. This research provides a comprehensive methodology that could revolutionize face recognition technology, offering more reliable and efficient solutions for various applications.

Corrosion is a significant challenge faced by industries that utilize cast parts in various applications. The deterioration of cast components due to corrosion leads to significant economic losses, safety hazards, and environmental concerns. This abstract presents a technological analysis focusing on enhancing the corrosion resistance of cast parts through various methods and techniques.

This article discusses the development of transport and logistics providers' services based on the use of digital platforms, discusses the introduction of modern digital technologies into the practical activities of transport and logistics providers in order to improve business models, strategic planning methods, and improve interaction. A scientific hypothesis has been put forward about increasing the productivity and economic efficiency of transport and logistics processes among all subjects of the transport market, an analysis of the world experience in using digital logistics platforms has been carried out, the concept of a platform for the development of services of digital transport and logistics providers has been substantiated.

There are many drives, gearboxes and mechanisms used in production today, and they are used in various industries. Friction is almost always present in drives and mechanisms used in mechatronic systems. By effectively using these mechanisms, we increase the production capacity and ensure the long service life of the mechanisms

This article considers a device for measuring the magnetic stray field of the frontal part of the squirrel-cage rotor winding of an asynchronous motor for general industrial use.

In this device for measuring the magnetic field of leakage of the frontal part of the squirrel-cage rotor winding in the bearing shield against the frontal part of the squirrel-cage rotor winding in the form of an arc, a sensor is installed with a length equal to the pole division and a radius equal to the radius of the location of the heads of the frontal parts of the squirrel-cage rotor winding of an asynchronous motor of general industrial use.

In this article, based on the analysis of the advantages and disadvantages of disinfection methods and devices, a disinfection device that performs disinfection quickly and efficiently is proposed. In the design of the device, special attention is paid to high-quality disinfection by combining several methods of disinfection, and the main differences and advantages of the proposed disinfection device are given, and the principle of operation of the device is explained in detail.

Naphthalene additives, as indicated in the literature review, are classified as detergent additives. Additives of this type are primarily used in engine oils. It is known that the composition of the “D” group oil should include an effective package of additives to achieve the level of performance properties, which ensures long-term performance of the most forced engines especially in severe operating conditions. To date, there is no universal method for assessing the behavior of oil at high temperatures, therefore oil is usually tested via several (laboratory and stand) methods. For example, in domestic practice, a four-stage system for determining the quality of newly created (experimental) oil products is provided.

The term “digital manufacturing” can be interpreted quite broadly. Initially, computer-aided design systems fell under this definition. Then they began to include product life cycle management systems. It is clear that cloud technologies, additive manufacturing and augmented reality will also influence the development of digital manufacturing.

This article explores the concept of microclimate control, detailing its evolution from passive design methods to the cutting-edge, intelligent systems of today. It emphasizes the role of artificial intelligence, sensors, and data analytics in shaping modern microclimate control, which aims to provide personalized comfort, enhance energy efficiency, and promote sustainability. The piece also highlights the diverse applications and the broader societal impact of these systems, underscoring the potential for a transformative shift in the way we experience and interact with our indoor environments.

The methods of multi-factorial experiments of combined aggregate cotton receiver intended for tillage are presented.

This article is devoted to the analysis of the need to use automated air conditioning systems in textile factories. The article discusses the sanitary and hygienic assessment of the analysis of the influence of an artificial microclimate on the physiological functions of the body of workers .

In this article, the important importance of semiconductors in the development of time and technology, the prospects for the development of their fields of use is studied and information is presented. The use of semiconductor devices and lasers is analyzed. It is also noted that the types of lasers have a positive effect on the development of the field.

In this study, we investigate the structural and chemical changes occurring on the surface of cadmium sulfide (CdS) when subjected to bombardment with oxygen ions (O+). CdS is a semiconductor material with various applications in optoelectronic devices, and understanding its surface modifications under ion bombardment is crucial for improving its performance. Using a combination of analytical techniques, including X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM), and energy-dispersive X-ray spectroscopy (EDS), we explore the alterations induced by O+ ion bombardment. Our findings reveal significant changes in the surface composition and morphology of CdS, shedding light on potential applications in semiconductor technology.

Engineering graphics is an integral part of the engineering curriculum, encompassing visual communication and technical drawing skills. This scientific article conducts a thorough comparative analysis of modern and traditional teaching methods for engineering graphics. The objective is to identify the strengths and weaknesses of each approach in effectively imparting knowledge and skills to engineering students. By highlighting the advancements and limitations of modern and traditional methods, this article aims to inform educators and policy-makers in shaping the future of engineering graphics education.

In the article, the authors define the concept of “digital competencies”, classify them by type, describe possible assessment methods, and also propose measures aimed at both developing the digital competencies of their own personnel and developing the necessary digital competencies of future specialists. The implementation of the proposed measures will allow employers to provide themselves with the necessary personnel and thus speed up the process of digital transformation of business and digitalization of the economy.

Distillation and rectification processes are common in the chemical, petrochemical, and food industries. All these processes are complex and very energy-intensive. Since the rectification process directly affects the quality of the final product, the problem of energy efficiency and resource saving remains relevant. The main tasks in solving this problem are mathematical modeling of the technological process, optimization of the design and technological parameters of the process based on its modernization. A special place in solving this problem is given to process management. This is explained by the nonlinearity and multiplicity of the process, nonstationarity of behavior and the influence of various disturbing influences on the process.