The earned value method (EVM) is an internationally known technique for project management that emphasizes the control of cost performance and duration, thus allowing trends to be identified during execution warning manager variances may affect so they can take necessary corrective measures. In this research, finished projects a construction company in city Cuenca, Ecuador, were assessed. EVM w...

Error vector magnitude (EVM) is a metric for assessing the quality of m-ary quadrature amplitude modulation (mQAM) signals. Recently proposed deep learning techniques, e.g., feedforward neural networks (FFNNs) -based EVM estimation scheme leverage fast signal monitoring in coherent optical communication systems. Such estimates from histograms (AHs) short sequences captured before carrier phase ...

In this letter, a wideband watt-level digital power amplifier (DPA) with balance-compensated matching network is proposed for polar transmitters. The balance response of the differential to single-ended transformer enhanced by series-loaded compensation capacitor, which leads improvement DPA efficiency. To verify mechanisms, prototype fabricated in conventional 40-nm CMOS technology. operates o...

In this paper, we investigate the universal filtered multi-carrier system (UFMC) for 5G and subsequent connections with aid of MATLAB package. It can be considered that UFMC technology provides an advantage against inter-symbol interference (ISI) as well inter-carrier (ICI) low latency. The proposed is simulated analyzed in terms error rates, complementary cumulative distribution function (CCDF...

Resumen. Los motores de inducción actualmente son la máquina más ampliamente usada en el campo industrial, por su robustez y fácil instalación. Es por eso que la detección de fallas toma un papel importante para un correcto mantenimiento y por consecuente el alargamiento de la vida útil del motor. Una de las principales técnicas existentes para la detección de fallas en motores de inducción es ...

Error vector magnitude (EVM) is commonly used for evaluating the quality of m-ary quadrature amplitude modulation (mQAM) signals. Recently proposed deep learning techniques EVM estimation extend functionality conventional optical performance monitoring (OPM). In this article, we evaluate tolerance our developed scheme against various impairments in coherent systems. particular, analyze signal c...

Here we present a method for determining whether habitat patches are truly functioning as habitat islands. We do so by assessing if the species distribution pattern across the islands, when compared to a mainland pattern, conforms to the predictions of the theory of island biogeography. The putative islands in our study are a series of hummocks in a swamp in the ES George Reserve, Pinckney, MI....