Automation is advancing rapidly, with infrared (IR) communication being a key method for controlling electronic devices. Despite this, challenges remain in optimizing IR controllers for consistent performance across v...
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Real-world images often encompass embedded texts that adhere to disparate disciplines like business, education, and amusement, to name a few. Such images are graphically rich in terms of font attributes, color distrib...
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This paper proposes a novel Takagi-Sugeno (T-S) fuzzy model-based state feedback controller design scheme that uses an auxiliary controller to improve the performance of the adaptive cruise control (ACC) system by emp...
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In this paper, an equivalent controller concept has been proposed to observe various future grid scenarios under the PSS/e dynamic simulation. The equivalent controller has been proposed to efficiently manage transien...
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Ultrasound stimulation for the treatment of osteoarthritis has proven to alleviate patient pain and has shown the potential for cartilage cell regeneration. To improve the treatment efficacy and ultrasound focusing, t...
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In power systems with a high share of renewable energy, the reduced number of synchronous generators in operation leads to weakened system strength. This lack of robustness causes challenges in frequency stability ana...
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Recently, as the demand for DC systems has rapidly increased, research on battery chargers has been conducted extensively. Among DC/DC converters, the DAB converter has the advantage of enabling ZVS(Zero Voltage Switc...
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In industry, the advancement of digital engineering and the digital thread aims to reduce the impact of knowledge ‘siloes’ by providing a way to integrate data across the entire system lifecycle and across multiple ...
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The weather-dependent variability of line impedance can substantially impair the accuracy of traditional power flow calculations in electric grids, especially under varying and extreme weather conditions. Recently, si...
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Low-power and low-complexity Direction-of-Arrival (DOA) estimation is a critical challenge in various signal processing applications. This paper presents a data-driven approach using a neural network framework designe...
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