Related references
Note: Only part of the references are listed.
Article
Engineering, Multidisciplinary
Catalin Faitar et al.
Summary: The purpose of this study is to provide an overview of the development of modern low-speed marine two-stroke diesel engines with a focus on the technical water cooling system, taking into account market requirements and design options for the shipping industry. The study analyzes various aspects of marine slow turning engines, including the thermodynamic structure of the technical water system and the design criteria for engine components. It also highlights the importance of auxiliary systems and control systems in the installation and operation of the technical water cooling system on board ships. The study concludes by emphasizing the significance of the calculations used to determine the parameters of a technical water generator for a midsized container ship.
Article
Nicoleta Bogatu et al.
Article
Engineering, Multidisciplinary
Iulia-Florentina Darie et al.
Summary: We conducted a comparative study to determine the most efficient multivariate model screening for the main drugs of abuse based on their ATR-FTIR spectra. The study involved statistical analysis, dimensionality reduction methods, and machine learning methods to assign drug class membership. The performance of the models in identifying three classes of drugs was compared, and the potential as forensic screening tools in field scenarios was discussed.
Article
Engineering, Multidisciplinary
Laura-Ionela Nedelcu et al.
Summary: The present study explores the wind energy potential along the Romanian coast of the Black Sea by analyzing weather data from 2009 to 2021. The analysis shows that the wind characteristics are similar across different coastal stations, indicating a favorable environment for wind energy development. The findings suggest that the Romanian Black Sea coast has strong winds, making it a promising location for wind energy projects.
Article
Engineering, Multidisciplinary
Daniela Serea et al.
Summary: This study optimized the extraction of bioactive compounds from red grape Babeasca neagra peels using a Central Composite Design and conventional solvent extraction. The effects of extraction factors such as ethanol and citric acid concentrations, extraction temperature, and duration on anthocyanin content, total phenolic content, and antioxidant activity were investigated. By establishing optimal operating conditions, the extraction process can be improved and value-added extracts from red grape peel can be obtained.
Article
Engineering, Multidisciplinary
Florina Stoica et al.
Summary: This study demonstrates the extraction of bioactive compounds from red onion skins for use as natural and functional edible colorants. The optimized extraction conditions were determined, and it was found that extracts from red onion skins have the potential to be used in the development of functional food products.
Article
Engineering, Multidisciplinary
Octavian Duca et al.
Summary: In manufacturing, event-based measuring is necessary as not all processes provide relevant information at regular intervals. To control these processes, an event-based controller is needed, which poses challenges in event-triggered measurement. Most event-based controllers compare error values with predefined values but do not suit event-based processes. This article presents an event-based PID controller implemented on a conveyor transportation system.
Article
Engineering, Multidisciplinary
Victoria Yildirir et al.
Summary: In the context of the European Green Deal, the wind farms located near the Black Sea coastal areas are expected to increase to support the initiative. The evaluation of the regional wind resources reveals that offshore areas have higher wind speed values compared to onshore areas. Selecting generators with a rated wind speed of 11 m/s for the offshore areas can lead to high capacity factors and annual electricity production.
Article
Engineering, Multidisciplinary
Georgian Simion et al.
Summary: The main contribution of this paper is the modeling and control of a complex autonomous system equipped with a visual sensor for precision positioning technology. The objective of this system is to retrieve workpieces that have not passed the quality test and implement an assisting technology for a mechatronics line. The research findings demonstrate that the use of MVS technology can increase the precision of the robotic manipulator.
Article
Engineering, Multidisciplinary
Catalina Mercedes Burlacu et al.
Summary: This paper presents the alternative training strategies tested for an Artificial Neural Network (ANN) designed to detect JWH synthetic cannabinoids. By using the Neural Designer data science and machine learning platform combined with Python, the model's output sensitivity was enhanced. Comparative analysis of various optimization algorithms, error parameters, and regularization methods was conducted, along with a new goodness-of-fit analysis.
Article
Engineering, Multidisciplinary
Dan Ionescu et al.
Summary: This paper describes the modeling and control of advanced manufacturing technology on a flexible assembly, disassembly and repair mechatronic line with the assistance of an Autonomous Robotic System, two robotic manipulators, and a visual servoing system. Through a hybrid communication and control system, specific tasks are assigned to each manufacturing stage while also synchronizing data transfer between different field equipment and control systems.
Article
Engineering, Multidisciplinary
Andreea-Monica Dinca Lazarescu et al.
Summary: This study presents an algorithm for fingerprint classification using a CNN model. The algorithm overcomes the challenge of dealing with low-quality fingerprints through preprocessing and post-processing steps, achieving good classification performance.
Article
Engineering, Multidisciplinary
Iulia-Nela Anghelache Nastase et al.
Summary: This study uses machine learning to differentiate malignant and benign masses in breast ultrasound images, achieving high accuracy and precision and aiding doctors in making accurate diagnoses. By integrating Hu's moments into the analysis of breast tumors, the proposed method extracts features that are fed into classifiers to classify tumors into benign and malignant. The combination of segmentation and Hu's moments shows promising potential in assisting clinical diagnosis of breast cancer.
