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This paper considers the problem of forming formal statements regarding the formal parameters of binary code sequences, mathematical model transformations, their properties and the order of operations while optimizing the sequence on the criteria of minimal side lobes. The results of modeling are shown as a group of optimized binary code sequences.
A key issue in fruit export is classification and sorting for marketing. In this work image processing techniques are used to grad Thompson orange fruit. For this purpose, fourteen parameters were extracted, comprising area, eccentricity, perimeter, length/area, blue value, green value, red value, width, contrast, texture, width/area, width/length, roughness, and length. Adaptive neuro fuzzy inference...
A large number of aviation equipment maintenance data exhibit seasonal behavior, such as aircraft failure rate. Consequently, seasonal forecasting problems are of considerable importance in aviation maintenance support. Aircraft failure rate is an important parameter of aviation equipment RMS (Reliability-Maintainability-Supportability). It is indispensable to scientifically predict the aircraft failure...
In many research areas where the hypothetical based study is performed p-value is most commonly used statistical measure for null hypothesis testing. This p-value is deciding factor in considering the hypothesis validity for given population. Such a critical value can sometimes mislead the entire research. So there is always scope in understanding such factors in all possible directions. One of such...
Distributed energy resources (DER) systems introduce uncertainties in the electrical grid that cannot be addressed by classical deterministic methods. Power system analytic tools, such as Load Flow (LF), should be revisited to address such uncertainties. Probabilistic Load Flow (PLF) provides a solution to this problem by handling these uncertainties as random variables. Among the existing sampling...
In the design flow of Multi-Processed Systems-on-Chip (MPSoCs), the evaluation of communication structures play a very important role, since it may reveal relevant information on performance, energy consumption and cost. Simulation under a number of stimulus given by a traffic generator is a relevant solution for MPSoCs performance analysis. Traditional traffic generators based on Poisson and classic...
While adding new capabilities, the distributed energy resource proliferation raises great concern about challenges such as dynamic fluctuations of voltages. For example, in a volatile setting with highly uncertain renewable generation and customer consumption, it is challenging to provide reliable power and voltage prediction for operational planning purposes to mitigate risks, e.g., over-voltages...
To aid in the real-time monitoring of system stability, it is useful to assess the relative damping of an underlying impulse response from noisy, ambient data. This is typically done using modal decomposition, procedures that accurately and consistently estimate natural frequencies of oscillation but struggle with estimates of damping. Here we introduce a measure of “persistence” as a robust measure...
Numerous image matching methods for wide range of applications have been invented in the last decade. When high precision and reliability of the object space point coordinates is highly demanding, a stereo image matching method which can produce conjugate point of images and a standard deviation of the matched point is examined. In this approach, image gradients are used locally to seek a conjugate...
In this paper a random number generation method based on a piecewise linear one dimensional (PL1D) discrete time chaotic maps is proposed for applications in cryptography and steganography. Appropriate parameters are determined by examining the distribution of underlying chaotic signal and random number generator (RNG) is numerically verified by four fundamental statistical test of FIPS 140-2. Proposed...
This electronic document is a “live” template and already defines the components of your paper [title, text, heads, etc.] in its style sheet. Based on the spatial data, this paper studies the spatial heterogeneity of willingness to pay, and discusses the attenuation law and influencing factors of externality value in distance. The results show that the willingness to pay tends to decrease when the...
A 2D stochastic model of a phase-detection autofocus is proposed. A comprehensive analysis of its formal properties is conducted and its validity for a wide class of stochastic processes is proved. Moreover, formal properties of the phase-detection autofocus are analysed, together with assumptions necessary for its unimodality. Lastly, practical experiments, incorporating thermographic camera, which...
The study aims to review mediating effect of store image on social responsibility and customer trust on organic products. There are 361 customers of retails in West Java Province that is reviewed by Structural Equation Model approach. The finding is found that social responsibility is unable to improve customer trust directly for organic products. However, store image can mediate the correlation of...
Academic performance is one of the indicators to evaluate the achievement of college students, which plays an important role in individual development. However, it is worth mentioning that personality traits and thinking styles have an influence on academic performance. To further study the correlation among personality traits, thinking styles and academic performance, we carry out a series of experiments...
Currently the number of applications where the data generation function is not known has been growing, making necessary the use of non-parametric estimation techniques to describe such model. Therefore, relevant questions emerge regarding the quality of the model that represents some dataset and how to quantify this quality. This article aims to evaluate some of the measurements presented in the literature...
Data validation and reconciliation (DVR) plays key role in industries because it uses process information and statistical methods to estimate correct measurements from the observed data. DR is very effective when measurement is free from gross error. Data observed from chemical processes can be serially correlated. Serial correlation in data can arise when a process, takes time to adjust, is exposed...
The aims of this study were to forecast change of Chinese social donation in recent years by grey Verhulst model to find out characteristics of social donation and grey correlation analysis which was proposed by Professor Deng Julong is used to detect of an interpersonal relationship between the number of social donations from oversea and the number of foundations. This paper provides a quantitative...
This paper discusses a correlation methodology between two types of Far-Field radiation patterns belonging to the same device – one that is measured in an anechoic chamber and one that is simulated with a 3D full-wave EM solver. The problems with establishing such a correlation are discussed in this paper, and an algorithm is proposed to mitigate several possible sources of disagreement. Experimental...
This paper presents an analysis on the performance of decode- and-forward cooperation transmissions in Rician fading channels. The users send the signals using multiband DS-CDMA transmission; the particular complete complementary code sets are used as spreading sets and to provide orthogonality and signal separation. These codes sets have an impulsive autocorrelation sum among each set and orthogonality...
The convergence analysis of the affine projection algorithm (APA) was intensively studied, however, it is far to be a trivial task. In this context, a set of assumptions have to be considered, in order to allow a tractable analytical approach. As a consequence, notable differences occur between the simulation results and the analytical model. In this paper, the convergence of APA is studied and a...
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