In order to quickly and accurately calculate the electromagnetic wideband characteristics of the array structure, this paper combines the reduced basis method (RBM) with the tangential equivalent principle algorithm (...
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Gait recognition is one of the most promising video-based biometric techniques. Gait is a periodic movement comprising sequential actions that involve different body parts. Therefore, in a gait cycle, complex structur...
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Despite the concerted efforts to provide electricity through the deployment of distributed renewable energy-based technologies, the sustainability of these infrastructures remains uncertain. One plausible explanation ...
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The 2-opt heuristic is a simple local search heuristic for the Travelling Salesperson Problem (TSP). Although it usually performs well in practice, its worst-case running time is poor. Attempts to reconcile this diffe...
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Data from Social Networks is a valuable asset within both a scientific and a business world. In the context of this work, ontological modelling from Social Networks is understood as a knowledge building process to gen...
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This work identifies the capabilities of a block-based programming approach for learning machine learning concepts. It focuses on the following overarching research question: 'How can block-based programming tools...
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In this paper, an electrothermal multiphysical simulation method for low noise amplifiers is presented. The method integrates electrical analysis and transient thermal analysis, and uses iterative method to realize mu...
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We propose to perform an image-based framework for electrical energy meter *** aim is to extract the image region that depicts the digits and then recognize them to record the consumed *** the readings of serial numbe...
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We propose to perform an image-based framework for electrical energy meter *** aim is to extract the image region that depicts the digits and then recognize them to record the consumed *** the readings of serial numbers and energy meter units,an automatic billing system using the Internet of Things and a graphical user interface is deployable in a real-time ***,such region extraction and character recognition become challenging due to image variations caused by several factors such as partial occlusion due to dust on the meter display,orientation and scale variations caused by camera positioning,and non-uniform illumination caused by *** this end,our work evaluates and compares the stateof-the art deep learning algorithm You Only Look Once(YOLO)along with traditional handcrafted features for text extraction and *** image dataset contains 10,000 images of electrical energymeters and is further expanded by data augmentation such as in-plane rotation and scaling tomake the deep learning algorithms robust to these image *** training and evaluation,the image dataset is annotated to produce the ground truth of all the ***,YOLO achieves superior performance over the traditional handcrafted features with an average recognition rate of 98%for all the *** proves to be robust against the mentioned image variations compared with the traditional handcrafted *** proposed method can be highly instrumental in reducing the time and effort involved in the currentmeter reading,where workers visit door to door,take images ofmeters and manually extract readings from these images.
Crowdsourcing is becoming a trending concept used by many organizations, without being limited to a particular field. As of 2018, crowdsourcing was used by 85% of the largest worldwide companies. This trend of crowdso...
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The reduction of harmonics in terms of improving power quality is usually achieved using passive or active filters. Due to their advantages over passive filters, active power filters (APF) are receiving increased atte...
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