Increase in electricity generation is caused due to population increase, which leads to the depletion of fossil fuels, and increased pollution. This leads to focusing on alternate renewable energy, mainly solar photov...
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The depletion of fossil fuels and rising energy demand have increased the use of renewable energy. Among all SolarPVs, systembased electricity production is increased due to multiple advantages. In this paper a Solar ...
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One of the key components of any smart city is considered to be its intelligent transportation systems(ITSs).Unmanned aerial vehicles(UAVs)are envisioned in several ITS application fields because of their autonomous o...
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One of the key components of any smart city is considered to be its intelligent transportation systems(ITSs).Unmanned aerial vehicles(UAVs)are envisioned in several ITS application fields because of their autonomous operation,mobility,communication/processing capabilities,and other *** this paper,cooperative terahertz(THz)communication is proposed for flying ad hoc networks(FANETs),which is a particular kind of network made up of a collection of small UAVs linked in an ad hoc fashion and working together to accomplish high-level *** frequency spectrum for wireless communication has been expanding continuously in order to meet the demand for *** the forthcoming 6G and beyond,communications in the THz range will be vital,similar to how mmWave-band communications are currently influencing the 5G of wireless mobile *** finite state machine(FSM)of the proposed cooperative communication system for THz band is presented.A Markov chain model-based analytical study is carried out,which derives relationships among ***,numerical results are provided to support the analytical study.
In order to operate photovoltaic (PV) systems using maximum power point tracking (MPPT), three distinct combinations of controllers and converters are proposed in this research and compared. Using MATLAB/Simulink simu...
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Underwater imaging plays a critical role in various fields such as marine biology, environmental monitoring, underwater archaeology, and defense. However, it faces unique challenges including light absorption and scat...
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作者：
Haydaroğlu, CemDicle University
Engineering Faculty Department of Electrical and Electronics Engineering Department Sur Diyarbakır21280 Turkey
This study explores the integration of renewable energy sources (RES) and hydrogen energy into an airport microgrid (AMG) model to enhance energy efficiency and reduce carbon emissions. A novel two-degree-of-freedom p...
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The paper proposes two new topologies for single phase multilevel inverters (MLIs) to operate both in the symmetrical and asymmetrical configurations with a view at lowering the number of switching devices in the path...
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Approximate computing and reversible logic have become vital concepts in designing low-power, area-efficient datapath units for portable image and signal processing applications. In this approach, a low-power, reversi...
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Approximate computing and reversible logic have become vital concepts in designing low-power, area-efficient datapath units for portable image and signal processing applications. In this approach, a low-power, reversible architecture targeting digital image watermarking is proposed. The reported low-power Reversible Watermark Architecture (LP-RWA) implements a novel high-speed embed unit to blend the watermark image onto the cover image. The proposed embed unit performs block-level parallel accumulation and incorporates hybrid computing with approximate parallel carry logic (APC) for n/2 least significant bits (LSBs) and the standard carry logic (SC) for n/2 most significant bits (MSBs) to achieve area efficiency and speed improvement. Note that the implementation of APC in the least n/2 bits introduces a maximal error of 2n/2;however, we add a suitable constant unit bias at an appropriate position to faithfully restrict the error within -2n/2–1 to + 2n/2–1. Furthermore, we use reversible logic for implementation to achieve low-power operation and perfect recovery of the watermark image from the blended image without much signal loss. An area-efficient version of the LP-RWA (AE-RWA) is also reported, eliminating the generation of least significant n/4 bits in the approximate part of the Reversible Faithful Embed (RFE) unit. This elimination operation increases the average error during recovery;however, the maximum error is maintained within ± 2n/2–1. Evaluations show that LP-RWA exhibits 38.8%, 25%, 27.7%, and 27.2% reductions, and AE-RWA exhibits 46%, 32.7%, 34.3%, and 58.6% reductions in Quantum Cost (QC), Gate Count (GC), Garbage Output (GO), and Logic Depth, respectively, when compared to the standard reversible watermarking architecture. Synthesis results of LP-RWA and AE-RWA designs with 90 nm Application Specific Integrated Circuit (ASIC) Process Design Kit (PDK) technology with a number of bits in input operand (n) = 16 and employing 4 bits in each block sho
Maximum Power Point Tracking(MPPT)is crucial for maximizing the energy output of photovoltaic(PV)systems by continuously adjusting the operating point of the panels to track the point of maximum power production under...
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Maximum Power Point Tracking(MPPT)is crucial for maximizing the energy output of photovoltaic(PV)systems by continuously adjusting the operating point of the panels to track the point of maximum power production under changing environmental *** work proposes the design of an MPPT system for solar PV installations using the Differential Grey Wolf Optimizer(DGWO).It dynamically adjusts the parameters of the MPPT controller,specifically the duty cycle of the SEPIC converter,to efficiently track the Maximum Power Point(MPP).The proposed system aims to enhance the energy harvesting capability of solar PV systems by optimizing their performance under varying solar irradiance,temperature and shading *** results demonstrate the effectiveness of the DGWO-based MPPT system in maximizing the power output of solar PV installations compared to conventional MPPT *** research contributes to the development of advanced MPPT techniques for improving the efficiency and reliability of solar energy systems.
In recent years,there has been a significant surge in demand for electric vehicles(EVs),necessitating accurate prediction of EV charging *** prediction plays a crucial role in evaluating its impact on the power grid,e...
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In recent years,there has been a significant surge in demand for electric vehicles(EVs),necessitating accurate prediction of EV charging *** prediction plays a crucial role in evaluating its impact on the power grid,encompassing power management and peak demand *** this paper,a novel deep neural network based onα^(2)-LSTM is proposed to predict the demand for charging from electric vehicles at a 15-minute time ***,we employ AES-128 for station quantization and secure communication with *** proposed algorithm achieves a 9.2%reduction in both the Root Mean Square Error(RMSE)and the mean absolute error compared to LSTM,along with a 13.01%increase in demand *** present a 12-month prediction of EV charging demand at charging stations,accompanied by an effective comparative analysis of Mean Absolute Percentage Error(MAPE)and Mean Percentage Error(MPE)over the last five years using our proposed *** prediction analysis has been conducted using Python programming.
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