This study presents an optimized machine learning-driven profit forecasting model tailored for the backup clamps of transmission line conductors and ground wires, critically enhancing the financial planning in power t...
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In order to overcome defects resulted from replacing the photo background color, an improved method is proposed for background replacement. The α-values in the alpha matte are transformed to enhance the details in th...
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The paper presents a programmable (using a 1-bit signal) digital gate that can operate in one of two OR or AND modes. A circuit of this type can also be implemented using conventional logic gates. However, in the case...
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The proceedings contain 156 papers. The topics discussed include: hall converters with increased noise immunity for information collection, measurement and control of electric power modes;methodology for increasing th...
ISBN:
(纸本)9798350386028
The proceedings contain 156 papers. The topics discussed include: hall converters with increased noise immunity for information collection, measurement and control of electric power modes;methodology for increasing the lifetime of submersible electric motors in power supply systems of production wells;challenges of AODV protocol under excessive load in the OMNeT++/INET environment;machine learning model for system-of-systems interoperability;research of the spacer layers’ material variation impact on the resonant-tunneling diode’s current-voltage characteristic;performance evaluation of PID, Stanley, and hybrid (PID with Stanley) control algorithms on Bitum line-follower road coaster;investigation of the asymmetry of the magnetic system of the traction switched reluctance motor of an electric train;and research on improving the quality of induction units using multi-pulse ATRU.
The Iyal app is a real-time communication tool designed to assist those who are hard of hearing or deaf in daily situations, much like the Nagish app. Through speech-to- text translation and vice versa, Iyal ensures s...
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Adaptive biased optical orthogonal time frequency space (ABO-OTFS) faces challenges in achieving optimal spectral efficiency due to the presence of unused Doppler bins within the system. To address this, we propose tw...
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The study presented in this article delves into mathematical models pertaining to algorithmic and process synchronization functions within operating systems tailored for embedded reconfigurable computing systems. Furt...
The study presented in this article delves into mathematical models pertaining to algorithmic and process synchronization functions within operating systems tailored for embedded reconfigurable computing systems. Furthermore, the article explores the hardware implementation of these algorithms and process synchronization functions. The discussion encompasses an examination of the key merits and drawbacks associated with existing models, along with considerations for potential updates. Included are diagrams illustrating a hardware-implemented reconfigurable system and its operational processes. The practical application of the obtained results is situated within computing systems, emphasizing the significance of productivity and efficiency enhancement. In the conclusion are presented the inferences based on the main results of the research.
Traditional waste management techniques frequently be afflicted by inefficiencies, high operational fees, and environmental drawbacks. However, latest improvements in Artificial Intelligence, such as computer vision a...
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Crime prevention in smart city infrastructure significantly impacts improving quality of human life. However, the substantial increase in the urban population in recent years affects accuracy, safety, and security. Th...
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This paper proposes a study of social robots influence in education, medical field and engineering including benefits of the artificial intelligence (AI) in our society, level of acceptance and resulted behavior of hu...
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ISBN:
(纸本)9783031835193;9783031835209
This paper proposes a study of social robots influence in education, medical field and engineering including benefits of the artificial intelligence (AI) in our society, level of acceptance and resulted behavior of humans of all ages, children and elderly persons. Three distinct cases are discussed and evaluated based on the psychological point of view, education, ethics, security of communication and interaction. Studies showed that facial recognition, interaction or voice analysis help robots to discern human emotions, offering in this way the appropriate personalized assistance and meaningful feedback. Moreover, through AI algorithms, social robots can ongoing learning and intensify their behavior to develop and improve the users or individual's needs respecting the security communication and ethical standards. Social robots can be perceived as an integrated platform that reunites the capabilities of various systems making easier by their presence and ability to comprehend both verbal and non-verbal communication cues, resulting in smoother and more intuitive interactions.
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