The construction of low-cost nanogrids could help speed up the electrification rate in remote communities sub-Saharan Africa. One challenges nanogrid design for these is uncertainty future load demand profiles impacting cabling topology. We propose two new wiring approaches radial direct current power distribution systems. first one a modified minimum spanning tree (MST) algorithm and second an...

In the present study, hyperspectral imaging and remote sensing of fluorescence were integrated to monitor nitrogen content in leaves drip-irrigated cotton at different growth periods northern Xinjiang, China. Based on spectrum chlorophyll parameters obtained through shuffled frog-leaping algorithm (SFLA), successive projection (SPA), grey relational analysis (GRA), competitive adaptive reweight...

This paper presents an effective shuffled frogleaping algorithm (SFLA) for solving a lot-streaming flow shop scheduling problem with equal-size sublots, where a criterion is to minimize maximum completion time (i.e., makespan) under both an idling and no-idling production cases. Unlike the original SFLA, the proposed SFLA represents an individual or frog as a job permutation and utilizes a posi...

5.1 INTRODUCTION Nowadays wind farms contributing to the energy production is continuously growing because of their economical and environmental protection attraction. However, large wind farms have higher reactive power demand that may not be easily satisfied. Therefore, connecting the wind farms to the power network becomes a more challenging task and their impacts are likely to be more wides...

Accurately and efficiently determining a system’s physical variables is crucial for precise product-quality control. This study proposes novel method optimal sensor deployment to increase the accuracy of sensing data ensure timely detection product’s particle size in wet-grinding system. approach involves three steps. First, Bayesian network (BN) designed model cause–effect relationship between...

Research on intelligent transportation wireless sensor networks (ITWSNs) plays a very important role in an system. ITWSNs deploy high-yield and low-energy-consumption traffic remote sensing nodes with complex parameter coordination both sides of the road use self-organizing capabilities each node to automatically establish entire network. In large-scale self-organization process, importance tas...

Wheat kernels damaged by Fusarium head blight (FHB) lose moisture, protein and starch carry dangerous toxins. Classification of degree damage can be helpful to customise the use wheat kernels, reduce financial losses ensure grain safety. In this study, hyperspectral imaging (HSI) deep learning network were explored determine sound, mildly, moderately severely kernels. Effective wavelengths (EWs...

Abstract Evolutionary algorithms (EAs) are proficient in solving the controlled, nonlinear multimodal, non-convex problems that limit use of deterministic approaches. The competencies EA have been applied various environmental and water resources problems. In this study, storm management model (SWMM) was set up to authenticate capability for simulating catchment response upper Damodar River bas...