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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...
Data collected by fitness trackers could play an important role in improving the health and well-being of the individuals who wear them. Many insurance companies even offer monetary rewards to participants who meet certain steps or calorie goals. However, in order for it to be useful, the collected data must be accurate and also reflect real-world performance. While previous studies have compared...
In this article the results of testing of numerical methods of solution of differential equations describing the systems with chaotic dynamics in MATLAB are discussed. The results of evaluation of the actual error, the global error and root-mean-square error of the numerical solution of the test differential equation system are discussed. The results of evaluation of the main radio technical parameters...
Predicting price has now become an important task in the operation of electrical power system. Day-ahead prediction provides forecast prices for a day ahead that is useful for daily operation and decision-making. The main challenge for day ahead price forecasting is the accuracy and efficiency. Lower accuracy is produced due to the nature of electricity price that is highly volatile compared to load...
A deoxyribonucleic acid (DNA) microarray is a powerful tool that is widely used in genetics to monitor the expression levels of thousands of genes in parallel. Gridding, segmentation and intensity extraction is the process of gene expression. In the process of gene expression, gridding process information leading to dig their own DNA and provide coordinates for each point. Gridding can be implemented...
This paper introduces the concept of using a performance measure to select band groups when using a single classifier. Typically, band groups are selected using a proximity measure to determine the similarity or dissimilarity of hyperspectral bands. The problem with that approach is the similarity or dissimilarity of the hyperspectral bands may not be important for some problems. The novelty of using...
Image registration technology is getting more and more important in nowadays. The accuracy of the registration resolution plays an important. In this passage, we present an image registration algorithm based on point feature of sub-pixel, which can improve the accuracy. Firstly we use Harris corner point algorithm to get point features, then we use our method to refine the Harris points, after that...
This paper presents a novel classification method for high-spatial-resolution satellite scene classification introducing multiset aggregated canonical correlation analysis (MACCA)-based feature fusion to fuse and combine multiple features. Firstly, a superpixel representation of the scene is constructed by employing a high-efficiency linear iterative clustering algorithm. After that, three diverse...
Beamforming for satellite-borne communications systems has attracted intensive attention in the past decade as it enables frequency reuse among the areas covered by different beams, and hence greatly improves bandwidth efficiency. This paper considers carrier frequency offset estimation for DSSS signals in the wired test of beamforming networks. A two-stage frequency offset estimation algorithm is...
Content-based image retrieval systems typically rely on a similarity measure between image vector representations, such as in bag-of-words, to rank the database images in decreasing order of expected relevance to the query. However, the inherent asymmetry of k-nearest neighborhoods is not properly accounted for by traditional similarity measures, possibly leading to a loss of retrieval accuracy. This...
This manuscript addresses the cross-spectral stereo correspondence problem. It proposes the usage of a dense flow field based representation instead of the original cross-spectral images, which have a low correlation. In this way, working in the flow field space, classical cost functions can be used as similarity measures. Preliminary experimental results on urban environments have been obtained showing...
In this paper an easy-to-use approach using cubic spline interpolation is proposed for providing initial estimations for digital image correlation (DIC) grid point locations and rotations on objects with major deflection. One of the main problems in using DIC for deflection measurements is that direct correlation fails since image sample rotations can differ considerably across two images. The proposed...
In this paper, a new single sensor passive emitter localization approach is presented. The use of signal structure information allows TDOA-based localization with a single moving sensor node. A direct position estimation scheme is derived for the single sensor TDOA localization problem. The feasibility of the proposed method is shown in simulations. The position estimation accuracy of the single senor...
Human activity recognition is one of the most important core building blocks behind many applications on smartphone such as medical applications, fitness tracking, context-aware mobile, human survey system, etc. This paper describes a robust system for human activity recognition by smartphone. Different from other work, we investigated the use and combination feature selection and instance selection...
Traditionally, the phase of an ideal complex circular random electromagnetic fields is modelled by a uniform distribution. We show that the phase of the Cartesian component of a more general complex elliptic random field exhibits a distribution that depends on the I/Q noncircularity coefficient and the I/Q correlation coefficient. Theoretical distributions are derived and validated experimentally,...
This paper proposes a software android application to compute the absolute position of smartphones or tablets in an indoor Ultrasonic Local Positioning System (U-LPS) based on hyperbolic trilateration. U-LPS can enhance mobile devices indoor positioning allowing sub-meter accuracy results by a suitable encoding of the ultrasonic transmissions. An external hardware device based on an ultrasonic microphone...
Software misconfigurations are responsible for a substantial part of today's system failures, causing about one-quarter of all customer-reported issues. Identifying their root causes can be costly in terms of time and human resources. We present an approach to automatically pinpoint such defects without error reproduction. It uses static analysis to infer the correlation degree between each configuration...
The collective communication operations, which are widely used in parallel applications for global communication and synchronization are critical for application's performance and scalability. However, how faulty collective communications impact the application and how errors propagate between the application processes is largely unexplored. One of the critical reasons for this situation is the lack...
Machine-learning test strategy has been developed in the last decade as an alternative to costly specification-driven tests for Analog, Mixed-Signal and RF circuits (AMS-RF). The concept is simple: powerful algorithms are used to map simple measurements onto specifications. But the proper execution requires an information-rich input space. This paper presents an efficient hybrid algorithm to select...
Principal component analysis (PCA) is a commonly used method for feature extraction and dimensionality reduction. This paper proposes PCA based on similarity/correlation criteria instead of covariance to gain low-dimensional features with high performance in text classification. Experimental results have demonstrated the advantages and usefulness of the proposed method in text classification in high-dimensional...
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