<abstract xmlns="http://www.w3.org/1999/xhtml">

Guide rings and rolling bodies are mainly made of alloy steel with a high chromium content, heat treated, as well as of carburising steel. The efforts to improve the standard of quality of bearing steels are determined by the interest of continuously increasing the adhesion of constructive types. These steels are recommended for large bearings which operate under shock and vibration conditions. Thermochemical treatments are followed by quenching and tempering heat treatments. However, undesirable defects occur sometimes on the surface of the carburised layer and solutions are constantly being sought to identify the causes thereof.
</abstract>

Study on Potential Causes of Defects Following Heat and Thermochemical (Carburising) Treatments of Linear Bearings

<abstract xmlns="http://www.w3.org/1999/xhtml">

Nowadays in our society modern science uses a wide range of materials to perform multiple functions. One of the fields in which biological, synthetic and hybrid materials have found various applications is related to the medical one. The variety of materials used in medicine adapts to specific requirements and applications, due to the wide range of physical, chemical and biological properties that these materials can guarantee. The present review paper offers a short review, based on the data available in the scientific literature, on the possibility of using materials for dental application.
</abstract>

George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures Faculty of Engineering and Information Technology

Department of Industrial Engineering and Management Str

Department of Electronics and Telecommunication Engineering

The Use of Materials for Dental Applications

<abstract xmlns="http://www.w3.org/1999/xhtml">

Predictive methods represent techniques commonly met in Industry 4.0 that offer a way to early predict or detect faults of machines, devices or tools. This is useful to anticipate failures with the main goal of improving maintenance planning. Making such predictions could decrease the unexpected malfunction operation or manufacturing downtime and consequently the overall maintenance costs. In this paper we present the basis of the architecture designed for predictive maintenance in the project Social Network of Machines (SOON) under the paradigm of Industry 4.0, as well as a brief literature state-of-the-art survey of the topic. A particular implementation of this architecture, a testbed for electrical motors failure detection, is shown and evaluated.
</abstract>

George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures

SOON: Social Network of Machines Solution for Predictive Maintenance of Electrical Drive in Industry 4.0

<abstract xmlns="http://www.w3.org/1999/xhtml">

The importance of reactive power to the economy and security of power systems cannot be overemphasized. For instance, Transmission losses increase when reactive power is unevenly distributed on transmission network; and power quality is affected as well. The cheapest way of reducing these transmission lines losses is via reactive power dispatch approach. This study therefore proposes an Improved Chaotic Particle Swarm Optimization algorithm (ICPSO) with the primary aim of reducing real power transmission line losses while adhering to system constraints. Although the traditional PSO has a fast convergence speed, it falls easily into local optimum and it is slow at the later stage of convergence. The ICPSO is proposed in this research to overcome these shortcomings. The approach combines PSO with chaotic map which increases particles’ diversity, allowing particles to explore the search region more; and a wingbeat frequency component which helps to sustain the rate of convergence of particles. MATPOWER 7.1 in MATLAB 2019a environment was utilized for the implementation. The purported algorithm was examined on IEEE14 and IEEE30 Test Beds respectively. When tried out on IEEE14 Test bed, real power loss was reduced from 13.393 MW to 12.260 MW; whereas real power transmission line loss was brought down from 17.557 MW to 15.977 MW when tried out on IEEE30 Test Bed. In terms of reducing real power transmission lines losses, the simulation results show that the proposed approach performs better when compared with other algorithms.
</abstract>

Department of Electrical & Electronics Engineering

Optimal Reactive Power Dispatch Using Improved Chaotic PSO Algorithm with the Wingbeat Frequency

<abstract xmlns="http://www.w3.org/1999/xhtml">

A new waveguide feeding scheme of a rectangular DRA based upon the folded substrate integrated waveguide concept is presented. The most important characteristics of this antenna are a good radiation efficiency of above 87% at high frequencies which antenna operates and half transverse size of its feeding in comparison with other waveguide feeding schemes such as SIW and rectangular waveguide. The simulated results show an impedance bandwidth of 6.7% from 25.25 to 27 GHz and a good gain of at least 5 dB for this range.
</abstract>

Department of Electronics and Telecommunications

A New Compact FSIW Fed Dielectric Resonator Antenna for Millimeter Wave Band Applications

<abstract xmlns="http://www.w3.org/1999/xhtml">

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>

Design of Novel Multiband Radar Absorbers Using Cylindrical Frequency Selective Surfaces

<abstract xmlns="http://www.w3.org/1999/xhtml">

Biomedical Engineering programs are present at many universities all over the world with an increasing trend. New generations of biomedical engineers have to face the challenges of health care systems round the world which need a large number of professionals not only to support the present technology in the health care system but to develop new devices and services. Biomedical Engineering supports patient diagnosis and treatment by installing, testing, calibrating and repairing biomedical equipment; training users; maintaining safe operations. Also, approves new equipment by conducting tests, ensuring adherence to codes and making modifications. This paper presents a solution for biomedical signal processing education, involving real signal acquisition and computer-based processing. The acquired signals also allow a lot of post processing procedures to be implemented in an educational form/way.
</abstract>

Educational trends in biomedical signal processing

<abstract xmlns="http://www.w3.org/1999/xhtml">

This project devotes to implement the 5-axis movable robot arm leads to provide an automated process for capturing the utensils. The main target is to perform material separation manually and via android program using a 5-axis movable robot arm. In this generated environment, there is information about the electrical circuits, mechanical structures and software of a robot arm that can be used in automation systems. Practically, an experimental study is developed to move the robot arm by adjusting the angular values it receives by remote connection and positioning the motors. 3D printer filaments, which are light in weight, and gear sets of the servo motor are used in order not to burden the servo motors in the mechanical parts of the robot.
</abstract>

Electrical and Electronics Engineering Dept

Implementation of 5-axis Robot Arm for Automatic Processes

<abstract xmlns="http://www.w3.org/1999/xhtml">

This paper presents a methodology for predicting the lung diseases of patients through medical images using the Convolutional neural network (CNN). The importance of this work comes from the current SARS-CoV-2 pandemic simulation where with the presented method in this work, pneumonia infection from healthy situation can be diagnosed using the X-ray images. For validating the presented method, various X-ray images are employed in the Python coding environment where various libraries are used: TensorFlow for tensor operations, Scikit-learn for machine learning (ML), Keras for artificial neural network (ANN), matplotlib and seaborn libraries to perform exploratory data analysis on the data set and to evaluate the results visually. The practical simulation results reveal 91% accuracy, 90% precision, and 96% sensitivity making prediction between diseases.
</abstract>

Patient Prediction Through Convolutional Neural Networks

AHEAD OF PRINT

Volume 20 (2023): Issue 2 (December 2023)

Volume 20 (2023): Issue 1 (June 2023)

Volume 19 (2022): Issue 2 (December 2022)

Volume 19 (2022): Issue 1 (June 2022)

Volume 18 (2021): Issue 2 (December 2021)

Volume 18 (2021): Issue 1 (June 2021)

Volume 17 (2020): Issue 2 (December 2020)

Volume 17 (2020): Issue 1 (June 2020)

Volume 16 (2019): Issue 2 (December 2019)

Volume 16 (2019): Issue 1 (June 2019)

Acta Marisiensis. Seria Technologica

 Acta Marisiensis - Seria Technologica is an open access international scientific journal of the Faculty of Engineering and Information Technology of the University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureș, which is published by the University Press under the CC BY 4.0.   Acta Marisiensis - Seria Technologica aims to meet the demand for an international journal bringing together all aspects of research from different areas of knowledge in engineering technologies. The journal fulfils this aim by publishing the original research papers of prominent international researchers. The published articles are discussed in terms of concepts, state of the art research, standards, implementations, running experiments, applications, and industrial case studies. Topics cover a wide range of engineering subjects like: manufacturing, nano and micro technology, information systems, advanced software technology, parallel and distributed computing, power and energy systems, electronics and electrotechnology, optimization techniques, signal and image processing, quality control technology.  Acta Marisiensis - Seria Technologica is an open access journal with all content freely available on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, scrawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. The only constraint on reproduction and distribution, and the only role for copyright in this domain, should be to give authors control over the integrity of their work and the right to be properly acknowledged and cited.This is in accordance with the BOAI definition of open access.Authors are not charged for the submission or processing of their papers.  Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 