Fuzzy C-Means clustering is among the most successful clustering techniques available in the literature. The capacitated vehicle routing problem (CVRP) is one of the most studied NP-hard problems. CVRP has attracted the attention of many researchers due to its importance within the supply chain management field. This study aims to develop a fuzzy c-means clustering heuristic to efficiently solve

Memristors are used in many innovative research areas. However, the temperature has a strong effect on mem-ristance, which results in malfunctions. Although commercial a memristor is available, its thermal characteristics are still under-explored. This paper presents a temperature model of a self-directed channel memristor. The experimental results of measuring high-resistive-state memristance

Binary convolutional neural networks (BCNN) have been proposed in the literature for resource-constrained IoTs nodes and mobile computing devices. Such computing platforms have strict constraints on the power budget, system performance, processing and memory capabilities. Nonetheless, the platforms are still required to efficiently perform classification and matching tasks needed in various

This paper proposes an experimental verification of a hybrid partial feedback linearization (PFL) and deadbeat (DB) control scheme as in Hamdy et al. (2018) with chaotic whale optimization algorithm (CWOA) for a nonlinear gantry crane (GC) system. The PFL linearizes the nonlinear model to end up with a linear closed-loop system. The DB controller is utilized for the desirable accelerated response

In this letter, a third-order wideband voltage-mode all-pass filter (APF) is proposed for application as a true time delay (TTD) cell. The advantages of designing a single-stage higher order filter over cascading several lower order stages are illustrated. The proposed APF circuit is based on a single metal-oxide-semiconductor (MOS) transistor and is canonical because it requires one resistor, one

The aim of this empirical article is identifying and showing the key challenges and core problems faced by private universities with international affiliation, located in west Cairo, when applying online educational learning in the context of COVID-19. As well, it aims to assist in assembling the lessons learned to maximize the learning impact. a mixed-methods approach was used and it included: (1

DC electrical voltage-current measuring instrument and data are an instrument used to measure the current and voltage generated by wind turbines and record the measurement results. The function of this instrument is to activate the dummy load on the wind turbine control system to reduce the voltage that exceeds the safe limit when saving electrical energy. The research aimed to manufacture and

In this paper, we discuss the optimal charging and discharging of supercapacitors to maximize the delivered energy by deploying the fractional and multivariate calculus of variations. We prove mathematically that the constant current is the optimal charging and discharging method under R s -CPE model of supercapacitors. The charging and round-trip efficiencies have been mathematically analyzed for

The basic idea behind fractional calculus is that it considers derivatives and integrals of non-integer orders giving extra degrees of freedom and tuning knobs for modeling complex and memory dependent systems with compact descriptions. This paper reviews fractional calculus history, theory, and its applications in electrical engineering. The basic definitions of fractional calculus are presented

This work introduces a new successive approximation register circuit (SAR) for SAR analog to digital converter (ADC) based on Dynamic Random Access Memory (DRAM) cells. Based on the proposed DRAM based SAR ADC and a differential capacitive DAC, a 10-bit 2V ADC is designed in 0.18um CMOS technology. The proposed SAR is compared to traditional SAR to verify that the proposed SAR decreases the power