The metallurgical industry is one of the main branches of the global and Romanian industry. In 2023, global crude steel production was approximately 1.8 billion tons, according to the World Steel Association. It contributes approximately 5-6% to global GDP, having a significant impact on the economies of industrialized countries. It is a large consumer of electricity, being responsible for approximately 10% of global CO₂ emissions. Therefore, reducing and streamlining energy consumption is a particularly important challenge and target. Data analysis from the Târgoviste Special Steel Plant revealed poor energy efficiency and high reactive power consumption. In this sense, adequate solutions that compensate the excessive reactive power and consequently improve the power factor are to be implemented. To address this issue, this paper proposes a simple solution by implementing an automated system of controlled capacitor banks.
The article explores the application of digital circuits, such as logic gates, logic functions, flip-flop, and automata, using the Nexys 4 DDR platform from Xilinx and the Vivado software. The Nexys 4 DDR, featuring the Artix-7 FPGA, provides a robust environment for designing and testing digital systems. It allows for efficient implementation of various digital functions through hardware programming and simulation. The use of Vivado software eases the creation, simulation, and deployment of custom digital circuits, highlighting the versatility and power of FPGA technology in real-world applications. This paper highlights key principles, practical implementations, and design considerations involved in using these tools for digital circuit applications.
The purpose of this article was to analyze the evolution of the way in which traditional Romanian products are manufactured, the evaluation of the current level at which this field operates and the proposal of effective solutions for its expansion.
The article describes a sun-tracking system based on Arduino Nano, designed to optimize the output of a solar panel. It incorporates an INA219 sensor for current monitoring, two servo motors for dual-axis orientation, and four photoresistors for light detection. The system automatically adjusts the panel’s position, maximizing solar energy capture and enhancing energy efficiency.
Artificial intelligence long-term memory models are able to provide answers to a wide range of questions from a wide range of domains and to some extent, is able to detect excessive collaboration in the cybersecurity education field, making use of metadata (logs). There are some key differences between the models and the human factor with regards to completeness and correctness of the results. The aim of this paper is to provide an overview of the current state of the art of artificial intelligence and its use in detecting excessive collaboration in the cybersecurity education field.
This article examines how music education has evolved in terms of digital technology, its current implementation and proposes efficient methods for its future expansion.
This abstract discusses the examination of routing protocols within IP networks using Packet Tracer. Packet Tracer serves as a simulation tool to analyse the functionality and efficiency of various routing protocols such as RIP, OSPF, EIGRP, and BGP in an IP network environment. Through practical experimentation and simulation, this study aims to evaluate the performance, scalability, and reliability of different routing protocols under diverse network conditions. The analysis involves assessing factors like routing table updates, convergence time, and resource utilization. Insights gained from this research contribute to enhancing network design, optimization, and troubleshooting strategies, thereby improving the overall efficiency and effectiveness of IP network routing.
This paper presents a revolutionary approach to image analysis, specific to quality testing (QT) processes performed in industrial manufacturing processes, which integrates specific concepts of Industry 4.0 and Industry 5.0. The results of the research were translated into an innovative software interface, finally customized for testing the manufacturing quality on the mechatronic assembly and disassembly lines. The QT control structure, subordinated to the new technologies of Industry 4.0 and Industry 5.0, proposes that the acquisition sequences, analysis, decision -making and historical recording of quality data, be implemented through a server application (SA) and remotely through client applications (CA). Additionally, the system’s hardware configuration and embedded software components function analogously to an Internet of Things (IoT) sensor, providing a framework for real-time process analysis and control. The QT system is structured as a Machine Vision (MV) framework, leveraging advanced image processing techniques to extract relevant information, thereby enhancing the reliability and detail of quality assessments. In this setup, the mechatronic line is seamlessly integrated with cutting-edge analytical and control functionalities, enabling robust production monitoring and remote-control capabilities through the SA. Concurrently, the CA software offers enhanced flexibility for customizing production orders in response to customer demands. Following the implementation of this MV-based control structure, which utilizes the developed software interface for image analysis, a series of performance tests were conducted to validate system efficacy and adaptability within an automated production environment.
Monitoring parameters such as humidity, temperature, pressure and light are essential for the good development of plants in a greenhouse. This article represents incipient research for emphasizing the importance of data monitoring, data acquisition and data interpretation in order to obtain best results in greenhouse plant production. The monitoring system is composed of Arduino microprocessor-based system and Arduino shield with sensors. The presented greenhouse is heated with wood burning boiler which uses heated water that circulates through pipes and radiators inside the greenhouse. By continuously monitoring the greenhouse’s temperature, the operator will be able to control the wood resupply considerably more effectively.
The paper aims to demonstrate the application of HACCP to software quality management framework in steel engineering. This paper begins with a quick discussion of the theoretical foundations of quality management including quality assurance, then moves on to a brief introduction to HACCP that emphasizes its possible applications in a variety of industries. The goals of interdisciplinarity include profit maximization, enhanced productivity, and customer pleasure.
Market segmentation is a technique used by companies selling oil products in order to identify their target market and then divide customers into distinct groups or niches. Based on a range of demographics, particular needs, consumption priorities, and other psychographic or behavioural factors, market segmentation generates “subsets” of the market. Ignoring the market segmentation phase in the process of marketing petroleum product is equivalent to completely disregarding the target market, which means the company will have no customers and nothing to sell. Increased competitiveness, customer retention, and, last but not least, the growth of the petroleum product sales market will result from the development of suitable segmentation. Brand loyalty, existing customer loyalty, and differentiation from the competition are all enhanced by using market segmentation techniques. Messages that are effectively communicated will make the promoted products more noticeable.
The purpose of the paper is to highlight how task management is applicable in agriculture. The paper illustrates a Jira project that was developed from scratch and emphasizes the importance of well defined tasks to achieve performance and transparency in carrying out job activities. In order to guarantee maximum production and resource use on a farm, task management in agriculture emphasizes the methodical planning, execution, monitoring, and organization of agricultural tasks. In addition to taking labor, equipment, materials, and environmental conditions into account, it entails planning and allocating activities associated with planting, growing, harvesting, and managing crops and livestock.
Abstract This short review highlights the main sensor structures that are used in the ADAS (Advanced Driver Assisted System) field, in order to outline the progress at this moment (2023). Starting from this achieved level, we have proposed another approach to the ADAS problematics, regarding the prospects for development after the current moment, a different perspective than the one that has AV (Autonomus Vehicle) as its endpoint. Computer Assisted Driving represents a necessary and sufficient solution for increasing traffic safety in the near future. The integrated driver concept in the assisted environment implies a symbiotic human-machine collaboration. This collaboration requires a psychological acceptance of the ADAS system on behalf of humans, as an essential part of the current and future automobile. The progress highlighted by the documentation undertaken allows us to imagine a concept of a symbiotic human-machine system, based on the communication between ADAS and an external computing resource that assists the driver, based on the long analysis of recorded car events. Future automobiles must include an ADAS system that provides a subtle human-machine synapse, based on a series of computerized warnings to the driver generated in a timely manner, resulting from the high predictive capacity of AI-DLM algorithms. The computing speed of the local ADAS algorithms will be supplemented by the external server processing resource, accessed at the right time, to resolve an unexpected deadlock in the car roll.
Abstract Electric drive systems in mobility solutions are increasingly being used by the manufacturers in the global automotive industry. The European strategy to reduce greenhouse gas emissions to zero by 2050 is also transposed into Romania’s Energy Strategy. An important part of this strategy is the use of electricity in public passenger transport to significantly reduce pollution in urban areas. The rapid pace in terms of the renewal of conventional urban transport with modern electrified solutions requires, at the same time, an analysis of the pressure that this new consumer can exert on the national energy system.
Abstract The paper presents the project management of the power supply for house electrical installation, with help of photovoltaic panels. Nowadays one of the solutions that could lead to solve the problem of energy is solar energy. The main solar energy capture devices are divided into two categories, namely: thermal solar panels that transform solar energy into thermal energy and after that it can be converted into electrical energy and photovoltaic panels that transform solar energy into electricity. This project uses photovoltaic panels and the calculation of energy requirements are made for an electrical installation of a house. The reflection coefficient of the photovoltaic panels is calculated with the proposed method.
Abstract This paper investigates the impact of parasitic effects on the performance of on-chip planar spiral inductors for DC-DC converter applications, focusing on three geometries: square, hexagonal, and octagonal. Detailed electromagnetic simulations in MATLAB are employed to analyze the frequency-dependent behavior of key parasitic components, including ohmic resistance (Rs), substrate resistance (Rsub), oxide capacitance (Cox), and substrate capacitance (Csub) across a frequency range of 1 GHz to 10 GHz. The study reveals that the octagonal spiral inductor outperforms the others, demonstrating a 29% reduction in ohmic resistance at 1.5 GHz compared to the square geometry and achieving the highest substrate resistance, which helps reduce current leakage. Additionally, the octagonal inductor exhibits the lowest parasitic capacitance and a high-quality factor, peaking at 30 at 4.2 GHz. These results underscore the significant impact of inductor geometry on minimizing energy dissipation and electromagnetic interference, positioning the octagonal spiral inductor as a compelling choice for enhancing efficiency and miniaturization in DCDC converter designs.
Abstract For ensuring a greener and low carbon future; renewable energies sources such as solar energy stands out as a prominent solution for generating sustainable and clean electricity due to its accessibility, abundance and numerous benefits. The use of solar panel also called as photovoltaic systems has more importance in the world for their ability to convert sun irradiation into electricity while they have significant drawbacks like the nonlinearity of Pv panel. The efficiency and performance of Photovoltaic (PV) systems can be influnced by various factors, like climate fluctuations during the day. Therefore, it is so important to optimize the power capturing from PV panels. To optimize the energy created by photovoltaic modules, it is necessary to carefully select a DC-DC converter with MPPT control. This guarantees that the maximum power is extracted from the solar power plant and sent to the demand side in less time and with greater effectiveness. This paper introduces a super twisting sliding mode control technique for achieving maximum power point tracking (MPPT) in a photovoltaic (PV) system. The Single Ended Primary Inductor Converter (SEPIC) is proposed as a superior alternative to the conventional boost dc-dc converter, as it enables the extraction of the highest possible power from the photovoltaic panels array. Upon doing a thorough comparison of the suggested control with the P&O algorithm in various scenarios using the MATLAB/SIMULINK tool, it was found that the provided STC (Synchronous Tracking Control) for the SEPIC converter demonstrates greater efficiency and reduced oscillation around the Maximum Power Point (MPP).
Abstract This paper presents some methods of direct torque control (DTC) improvement for asynchronous machine (AM) with PWM inverter. Asynchronous machine DTC is recognized to have a straightforward control structure and work similarly to field orientation control (FOC). Two new strategies are presented to retain this control structure while simultaneously improving the switching frequency and stator flux estimate performances of the DTC drive. Finally, some proposed schemes for improved DTC and simulation results are presented.
Abstract The paper’s objective is to emphasize the applicability of AGILE Methodology in quality assurance of organic herbs conditioning. This paper begins with a brief overview of the theoretical components of quality assurance and a short introduction in AGILE Methodology emphasizing how may be applied in a variety of industries, such as the food processing industry and pharmaceutical industry. The goals of interdisciplinarity are customer happiness, productivity growth, and profit maximization.
Abstract The paper aims to analyze the performance of wireless communication systems by focusing on key electrical parameters such as signal power, bandwidth, signal-to-noise ratio (SNR), attenuation, and modulation techniques. The study utilizes advanced concepts including MIMO (Multiple Input Multiple Output) systems, dynamic power control, and Shannon-Hartley theorem, all analyzed using MATLAB/Octave for simulation and optimization purposes. The investigation is conducted to optimize the efficiency and reliability of wireless networks, ensuring better resource management and improved quality of service (QoS).
