"Compressed air is one of the most expensive energy resources used in production environments, and its inefficient management can lead to significant energy losses and, implicitly, to increased operating expenses. The objective of this research is to analyze consumption and monitor the production of compressed air using a digital smart metering infrastructure. The research methodology consists of monitoring and evaluating the performance of three industrial compressors by real-time measuring the amount of compressed air produced over the course of a year. To obtain relevant results, raw data from digital flowmeter devices, which provide an accuracy of ±1.5% in measurements, are used. The information collected allows the determination of the operating efficiency of each compressor, the identification of any air losses, and the assessment of the degree of energy efficiency. The result of the research consists of practical solutions for optimizing the compressor system, which contribute to reducing energy consumption in industrial facilities, reducing costs, and increasing the sustainability of industrial processes. Through the proposed method, compressed air production is more rigorously controlled, and data collection becomes more reliable and accurate, thus enabling early detection of any deviations."

The integration of titanium alloys in biomedical implants has transformed medical technology, providing durable and biocompatible solutions for various applications. This review explores the current applications of titanium-based biomaterials in orthopedic, dental, and cardiovascular devices, with a particular focus on Ti-Nb-Zr-Fe alloys. Advancements in processing techniques and surface modifications have enabled improved fatigue resistance, wear behavior, and biological performance under physiological conditions. Despite these breakthroughs, further investigations are required to address outstanding concerns regarding implant longevity and patient-specific customization. This study also presents a forward-looking perspective on future research directions, emphasizing the need for targeted investigations into reducing Young’s modulus and optimizing additional properties critical for biomedical applications. By evaluating studies conducted over the last five decades (1975–2025), this review contextualizes recent innovations while identifying key challenges and opportunities for continued development in the field.

Indoor Air Quality is one of the most essential factors for ensuring a healthy and comfortable environment inside the buildings. In order to obtain precise and reliable measurements for IAQ, it is necessary to implement a pretesting phase and to perform an analyze of the the data resulted before using the measurement device Testo, according to standards: ISO 7730 and ASHRAE 55. Pretesting is important to identify and eliminated possible errors or external factors which can influence in the end the measurement data all of this so the quality of the data can be improved. This paper aims to analyze a data series of IAQ measurements by using a measurement device, special dedicated for monitoring and evaluation of different ventilation systems. Data taken out of the monitoring phase is processed and the results show the issues with the existing air ventilation systems as well as the potential improvement solutions for the identified nonconformities. The usage of the standards ISO 7730, ASHRAE 55 and Testo measuring device has a big potential in assuring good and reliable measurements of the IAQ. It is important to highlight the importance of pretesting phase and the analyze of the measurement data in order to ensure a good evaluation and finally a sum of solutions focused on providing healthy and comfortable environments.

Industry is a fairly important branch of the economy. Through it, all production activities and processes are exposed. It combines different technologies and equipment with the help of which processes can be optimised. The stage industry has reached is the fourth. As technological processes become more and more complex and efficient, new technologies are needed to monitor and control the process. This article presents a method by which a technological process can be simulated and controlled by means of a real equipment, PLC, and in addition augmented reality is used to control and monitor the process remotely. By implementing this solution different scenarios can be tested and the simulated process can be monitored and controlled using different technologies.

Abstract In this research paper, the application of Artificial Neural Networks (ANN) for designing antennas is introduced. The primary objective of this optimization technique is to focus on the antenna’s parameters to achieve a desirable S11 value, which is a key metric of an antenna’s performance. To demonstrate the effectiveness of this approach, the optimization method to design three different antennas using the Numerical Analyzer (MATLAB) tool is employed. Through this study, it is tried to provide new insights into the optimization of antenna design using ANN and demonstrate its potential applications in the field of antenna engineering. The results of this research could potentially lead to the development of more efficient and effective antenna systems with improved performance in various applications.

Abstract This paper provides a synthesis of the concept of supply chain optimization. The aim of the research is to identify a supply chain optimization process, the key aspects in carrying out this process, and at the same time to emphasize the advantages that the optimization of companies' processes brings through the mathematical modeling of logistic processes that can be useful in the optimization of supply chains. In the research methodology it is used the Simplex transport algorithm. In a practical situation of a company with 3 warehouses and 4 clients, it allowed optimizing the transport routes and getting a minimal total cost for logistical delivery.

Abstract In this paper, a novel ultra-thin and multi-band radar absorber structure using cylindrical frequency selective surfaces (FSS) is proposed. The unit cell of the structure consists of a curved square ring printed on a cylindrical dielectric spacer to realize strong resonance to achieve efficient absorption of the incident microwave energy. The use of novel cylindrical FSS coating results in a considerable decrease of the radar cross section of a perfect electric cylinder. Furthermore, our studies prove that the proposed absorbing structure can be easily scaled to desired frequencies, and extension to dual- and multiband performances is possible. Meanwhile, the operational principle of the proposed absorbers is briefly introduced.

Abstract The field of engineering is a complex and well-developed one and thus offers various opportunities to students. Design engineering is a branch of this field that has several categories. The field of engineering involves logic and reason and imagination. The strength of 3D and 2D design is the engineer’s ability to see in space. This skill is cultivated over time and requires practice and work. Time management in favour of effort is also a very important aspect of engineering tool. Design develops with technology because nowadays everything is designed in 3D/2D CAD and CAM space. Thus, technology is the basis of computer-aided design and manufacturing. Automotive design engineering involves continuous study and analysis of the CAD working environment (programs such as CATIA, NX Siemens), the processes to be performed (welding, marking and checking stations) and the materials that can meet the project requirements (such as C45 and PA6).

Abstract Serious problems are on the rise, especially in these current times. The world is facing too many environmental threats. Water pollution is one of the main issues threatening the future. In some parts of the world, the water’s surface is covered by mucilage, which is dangerous for both aquatic animals and humans. This article firstly defines mucilage and highlights the reasons for its production. Afterwards to tackle water pollution, cleaning systems using image detection with the help of machine learning supervised classification algorithms are highlighted. This paper showcases the machine learning and classification used as well as the best solution for convolutional neural network and region-based convolutional neural network methods.

Abstract This study is part of a larger paper and brings to the fore a topical issue in today’s society, namely the importance of emotional intelligence in interpersonal relationships in an organization, its connection with the ability of individuals to communicate empathetically, directly, concisely in properly manage working time to avoid occupational stress. This article includes: basics about the importance of emotional intelligence in an organization, the causes of organizational stress, and factors that lead to decreased job satisfaction. The article includes the objective, purpose, research hypothesis, conceptual basis and methodology, tools for measuring stress, emotional intelligence and professional communication.