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This paper gives an overview of the calorimetric systems used to determine the losses of converters and motors, introduces the standards in the scope of the topic briefly, and highlights the problems associated with the loss determination of high efficiency devices. The calorimeters are classified in four categories based on chamber configuration. Information about previously published calorimeters...
The analysis of scientific data, specially in different kinds of cosmological studies, has to deal with the increment in data volume. These studies include the calculation of correlation functions such as the Two-point Three-Dimensional Correlation Function. To get the final estimator value for these functions, it is necessary to construct histograms for storing large number counts. Histograms are...
The capacitor voltage transformer (CVT) is a potential transformer (PT) composed of capacitive voltage divider and electromagnetic unit. In high voltage classes, the capacitor voltage transformer has the advantage of simpler structure and lower cost in comparison with electromagnetic potential transformer (PT), so potential transformers with voltage class of 220kV and above are CVT basically. Transformer...
Analysis of a medical dataset having missing values and then filling the missing values through different approaches exists in the literature. However, the classification accuracies achieved using these approaches have not been so promising when analyzed. It is this reason; which implicitly motivated us to study and address new methods for imputation. In this paper, we propose an approach for efficient...
Accuracy tests were performed on whole-current and transformer-operated electronic energy meters under conditions that reflected the actual adverse metering site conditions. Analysis of the test data reveals the deleterious effect of high ambient temperatures on the measurement accuracy and precision of electronic meter indications. Based on the study results, measures are recommended to address concerns...
From first-order incremental ΣΔ converters to controlled-oscillator-based converters, many ADC architectures are based on the continuous-time integration of the input signal. However, the accuracy of such converters cannot be properly estimated without establishing the impact of noise. In fact, noise is also integrated, resulting in a random error that is added to the measured value. Since drifting...
In this paper we consider sources of enhancement for the Smoothed Particle Hydrodynamics method in approximating a function and its derivatives. It is well known that the standard formulation is usually poor when scattered data distribution is considered or when the approximation near the boundary occurs. In this paper studies on the accuracy are provided and assessed with gridded and scattered data...
This paper presents a characterization of the depth map from an RGB-D sensor, Kinect 360, to be used as an input to an obstacle detection system. Since the accuracy, reliability and timeliness of the data are crucial in the system, there is a need to characterize it. Sensor repeatability tests are done to characterize the depth map. The mean and standard deviation of measured depths and mean error...
The paper describes an experimental study on emotion recognition using a collection of emotional recordings from SRoL corpus. Its goal is to study and to obtain a simple tool that can be used in recordings validation in the process of building large voice corpora. The tools can help or even replace the human validation. In this study we used two classifiers, k-NN (k — Nearest Neighborhood) and SVM...
The Spatial Pyramid Matching approach has become very popular to model images as sets of local bag-of-words. The image comparison is then done region-by-region with an intersection kernel. Despite its success, this model presents some limitations: the grid partitioning is predefined and identical for all images and the matching is sensitive to intra- and inter-class variations. In this paper, we propose...
This paper examines a generalized version of Preemptive RANSAC for visual motion estimation. The approach described employs the BRUMA function for dealing with varying block sizes and the percentages of hypotheses to be removed during the hypotheses rejection phase. The generation of a flexible number of hypotheses is also performed in order to balance the preemption scheme. Experiments were performed...
An accurate localization algorithm tailored for anisotropic wireless sensors networks (WSN)s is proposed in this paper. Using the proposed algorithm, each regular or position unaware node estimates its distances only to reliable anchors or position-aware nodes. The latter are properly chosen following a new reliable anchor selection strategy that ensures an accurate distance estimation making thereby...
This study introduces a three-stage integrated framework consisting of data envelopment analysis (DEA), random forest, and logistic regression to examine and predict the impact of environmental variables on banks' performance. This framework identified five important environmental variables and their effects on bank performance when applied to 151 banks in Middle East and North African (MENA) countries...
In recent years developments in medical interventions led to an increase in technical equipment and devices. By providing a spatio- temporal identification and localization framework beneficial applications can be realized in a crowded, dynamic and harsh environment. Ultra wideband using an impulse radio signaling scheme has attracted interest for applications where precise localization is needed...
We derive a new algorithm which avoids normalization of the probability density for particle flow. The algorithm was inspired by renormalization group flow in quantum field theory. In contrast with other particle flow algorithms, this one works in k-space rather than state space. We have roughly 30 or 40 algorithms to compute particle flow, and the three best algorithms avoid computing the normalization...
The inherent nondeterminism present in reduction operations on an exascale system, coupled with the nonassociativity of floating-point arithmetic, makes achieving reproducible results difficult or impossible. Work investigating the irreproducibility phenomenon has generally proceeded along one of two veins: (1) development of algorithms that produce reproducible numerical results irrespective of nondeterminism...
In packaging industry, the duration of the carton folding plays a fundamental role in the production process; in particular in the erection process when each panel rotates around the die-pressed lines called creases. Their bending response can be very complex, depending on forming and environment conditions. The crease mechanical properties, such as geometrical parameters, temperature, moisture and...
Electroencephalogram (EEG) is a gold standard in epilepsy diagnosis and has been widely studied for epilepsy-related signal classification, such as seizure detection or focus localization. In the past few years, discrete wavelet transform (DWT) has been widely used to analyze epileptic EEG. However, one practical question unanswered is the optimal levels of wavelet decomposition. Deeper DWT can yield...
The Phasor Measurement Units (PMUs) are becoming an important element for the measurement systems of the electrical grid. To assure the high penetration of these measurement devices, the interoperability of the PMUs from different vendors must be ensured. The IEEE Standard C37.118.1-2011, with its amendments of 2014, defines two accuracy classes, P and M, and provides the steady state and the dynamic...
The paper presents one of the possible modifications of the Projective Adaptive Resonance Theory (PART) clustering algorithm and its application in the processing of text documents. Clustering on the basis of PART can be applied, for example, to generate a dictionary of keywords from a text. The principle of this method is based on clustering of words with the same root word. In order to demonstrate...
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