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This paper presents an interfacing system of a photovoltaic (PV) array with an electrical grid based on a dual cascaded inverter. The PV array is connected to the main inverter through a boost converter, for maximum power extraction, while the dc-side of the auxiliary inverter is connected to a capacitor bank. The main and auxiliary inverters are controlled to deliver the harvested maximum power from...
The electric power system is moving rapidly towards an increased penetration of renewable energy resources. The new power to gas (PtG) technology has been recently introduced as a means to prevent renewable generation curtailment and to store any excess of renewable energy production during off-peak periods. This paper proposes a methodology for simultaneously studying the combined system flow of...
Wireless signals dispatched from a remote operations center to command wind turbines are prone to impulsive interferences. In this applied context, this paper proposes the use of a median filter to mitigate these impulsive interferences in a doubly-fed induction wind turbine. To a perfect proposal evaluation, a co-simulation with the wireless system model and the generator predictive control one is...
Long-duration audio-recordings of the environment are useful for monitoring biodiversity and ecosystem function. The technique is now widely used due to technological advances in recording technology. However, although the acquisition of audio has become quick and efficient, its analysis and interpretation remains comparatively slow and difficult. In this work, we describe a method to visualize long...
Neuromorphic computing takes inspiration from how the brain works to explore novel computing paradigms. Recently, neuromorphic architectures using spiking neurons were proposed for unsupervised learning of pattern- and feature-based representations. These approaches typically use a common WTA architectural motif of lateral inhibition that introduces competition between the neurons. In this paper,...
In the Chinese classical gardens, the pavilion is one of the most representative classical garden architectures, in order to reflect the aesthetic values of city landscape pavilion, this paper uses the main city in China's classical Pavilion as the research object and selects 90 representative samples for quantitative evaluation of the classical Pavilion by SBE method. By using correlation analysis,...
Insurance plays a key role in the financial industry, and it is also of great importance for people's socio-economic life. Therefore, in this paper, we demonstrate on the problem of analyzing the operating performance of insurance companies, and it is crucial for modern financial industry development. Firstly, we design an index system for evaluating operating performance of insurance companies, which...
We consider tracking of a target with elliptical nonlinear constraints on its motion dynamics. The state estimates are generated by sensors and sent over long-haul links to a remote fusion center for fusion. We show that the constraints can be projected onto the known ellipse and hence incorporated into the estimation and fusion process. In particular, two methods based on (i) direct connection to...
This research presents a scheme for explainable sleep quality evaluation utilizing the heart rate based sleep index. In the proposed model, the global covering rule induction of LERS (Learning from Examples based on Rough Sets) is used to generate rules associated with sleep quality status, such as ‘Bad,’ ‘Normal,’ and ‘Good.’ These rules are used to interpret the three sleep statuses. To show the...
The value of a software product diminishes due to emerging new requirements and gradual changes in system usage patterns over its lifespan, including other direct or indirect impacts from the surrounding environment. Often new requirements or changes cannot be addressed instantly; therefore, the system becomes less effective with incompatible or unused features, gradually degrading the overall value...
The significant number of fails and dropouts in computing undergraduate courses, especially in mathematics and programming, remains a challenge. Although the motivation can be directly related to the success of the student, it has only been addressed by a few studies. The purpose in this paper is to assess the impact of factors prior to university on the performance and motivation of undergraduate...
With the development of deep sequencing technology, isomiRs (isoform of miRNA) are consistently observed in a variety of cell types, tissues, and different cell development stages. miRNA isoforms as the products of miRNA genes, are variants which are different from mature miRNAs in length and position. Recently, many studies emphasized on isomiR and found its subtypes are differentially expression...
Gastric cancer (GC) is one of the lethal cancer types as well as one of the heterogeneous cancer types. To elucidate GC molecular mechanisms, mutational co-occurrence analyses have been suggested. However, an association between mutational co-occurrences and known GC signaling contexts has yet to be identified. In this study, the known GC signaling contexts including cancer hallmarks (DNA repair,...
Coronary artery disease (CAD) is the most common cause of death globally. Typically, it occurs when part of the coronary artery develops atherosclerosis, which causes the narrowing of the vessel lumen. The decision to be taken to treat the stenotic artery vessel is often influenced by several factors. The aim of this study is to develop an application (app) to provide support to the physician in decision-making...
Miniature inverted-repeat transposable element (M ITE) is a type of class II non-autonomous transposable element playing a crucial role in the process of evolution in biology. Development of bioinformatics tools that are capable of effectively identifying MITEs can enable genome-wide studies of MITE patterns in eukaryotes. Here, we present a fast, accurate and memory-efficient tool, MiteFinder, for...
Opinion mining and demographic attribute inference have many applications in social science. In this paper, we propose models to infer daily joint probabilities of multiple latent attributes from Twitter data, such as political sentiment and demographic attributes. Since it is costly and time-consuming to annotate data for traditional supervised classification, we instead propose scalable Learning...
Recommender systems have attracted much attention in last decades, which can help the users explore new items in many applications. As a popular technique in recommender systems, item recommendation works by recommending items to users based on their historical interactions. Conventional item recommendation methods usually assume that users and items are stationary, which is not always the case in...
The Compact Fluorescent Lamps (CFLs) are widely adopted in residential and commercial sector. This adoption is proposed following the energy conservation and environmental protection efforts. Despite, the CFLs consume low power, many users using these loads can cause a harmonic impact depending of the Attenuation-Amplification Effect. For instance, if this Effect is neglected (e.g., using Harmonic...
In the face of energy crisis and environmental pollution problems, all the countries in the world vigorously promote the development of electric vehicles. Electric vehicle charging infrastructure is the necessary infrastructure to the development of electric vehicles. This work has been focused on Electric Vehicles' Charging Stations (CSs) deployment. It has been considered in this study several constraints...
Goal. To create a mathematical tool for assessing the quality of a complex system likely availability (or failure) in the presence of interrelation in the components operation. The tool is different from the Markov's chain and other analogs. Tasks. To introduce a binomial distribution as the sum of the probabilities of ordered subsets of the numbers of successful tests. Introduction to probability...
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