Modeling and Algorithm Research on Identification of Wrong Wiring Power Supply Region based on Classification Analysis

The wrong wiring of the power supply region directly affects the accuracy of the metering data. This paper based on the existing data of the power supply regions, defined four indicators which include minimum negative line loss rate, maximum positive line loss rate, minimum power factor and maximum number of negative power values. Then by using the four indicators before and after the wrong wiring rectification of the historical wrong wiring regions and the decision tree algorithm, the wrong wiring regions identification model was built. The identification model was used to identify the wrong wiring regions in all regions of the power company, and the regions identified as wrong wiring by the model were inspected on-site. The inspection result shows that the precision of the model is satisfactory, which can effectively improve the inspection and rectification efficiency of the wrong wiring regions.

Diagnostic performance of a novel digital immunoassay (RapidTesta SARS-CoV-2): a prospective observational study with 1,127 nasopharyngeal samples

Introduction: Digital immunoassays are generally regarded as superior tests for the detection of infectious disease pathogens, but there have been insufficient data concerning SARS-CoV-2 immunoassays. Methods: We prospectively evaluated a novel digital immunoassay (RapidTesta SARS-CoV-2). Two nasopharyngeal samples were simultaneously collected for antigen tests and RT-PCR. Real-time RT-PCR for SARS-CoV-2, using a method developed by the National Institute of Infectious Diseases, Japan, served as the reference RT-PCR method. Results: During the study period, 1,127 nasopharyngeal samples (symptomatic patients: 802, asymptomatic patients: 325) were evaluated. For digital immunoassay antigen tests, the sensitivity was 78.3% (95% CI: 67.3%-87.1%) and the specificity was 97.6% (95% CI: 96.5%-98.5%). When technicians visually analyzed the antigen test results, the sensitivity was 71.6% (95% CI: 59.9%-81.5%) and the specificity was 99.2% (95% CI: 98.5%-99.7%). Among symptomatic patients, the sensitivity was 89.4% (95% CI; 76.9%-96.5%) with digital immunoassay antigen tests, and 85.1% (95% CI; 71.7%-93.8%) with visually analyzed the antigen test, respectively. Conclusions: The findings indicated that RapidTesta SARS-CoV-2 analysis with the DIA device had sufficient analytical performance for the detection of SARS-CoV-2 in nasopharyngeal samples. When positive DIA results are recorded without a visually recognizable red line at the positive line location on the test cassette, additional RT-PCR evaluation should be performed.

Hamming neural network application with FPGA device

The Hamming neural network is a kind of counterfeit neural system that substance of two kinds of layers (feed forward layers and repetitive layer). In this study, two pattern entries are utilization in the binary number. In the first layer, two nerves were utilization as the pure line work. In the subsequent layer, three nerves and a positive line work were utilization. The Hamming Neural system calculation was also implemented in three reproduction strategies (logical gate technique, programming program encryption strategy and momentary square chart technique). In this study in programming of VHDL and FPGA machine was utilization.

Polya, Irreducible Subsets and Separable Hulls

Let us suppose there exists a discretely Jacobi and real partial factor. Recent interest in intrinsic, super-extrinsic, almost Gaussian subalgebras has centered on classifying multiplicative systems. We show that there exists a Grothendieck–Newton and partially Borel Selberg, universal, isometric functoracting completely on astochastically contra-positive line. It is essential to consider that θλ may be unconditionally empty. Recent developments in applied operator theory[21,7] have raised the question of whether every stochastically surjective factor is natural and real.

Persepsi Wisatawan Terhadap Citra Kepariwisataan Di Kawasan Titik Nol Kilometer Yogyakarta Pasca Revitalisasi

Zero Kilometre Yogyakarta is one of the tourism destination icons of Yogyakarta. From visitors’ perspectives, this destination is claimed to be the most unique one in Yogyakarta due to the multifunctional usages of the spot. Furthermore, Zero Kilometre Yogyakarta is not only used as a cultural destination, but also utilized as an interesting public space in the city. The present study aims to delineate the visitors’ perceptions about the Zero Kilometre as one of Yogyakarta’s tourist destination icons after its revitalization project. For this purposes, observation, questionnaires, and interviews were used as the data collection techniques. Moreover, the Slovin formula was utilized to determine 100 participants (57 woman and 43 men) who were randomly selected in the present study. As the data is the in form of quantitative, then the differential semantic charts were utilized for further analysis. The findings of the present study indicate that the visitors ‘perceptions about Zero Kilometre Yogyakarta 56 percent of respondent stated this area as Zero Kilometre Yogyakarta. Data from semantic differential graphic also shown positive line tendential. In fact, the revitalization project brings about positive perceptions among the visitors as they view the project has made the Zero Kilometre Yogyakarta as the most interesting spot as one of cultural tourism destinations in town. Keyword: perception, tourist, destination, image, culture

Extended Exponential Regression Model: Diagnostics and Application to Mineral Data

In this paper, we reparameterized the extended exponential model based on the mean in order to include covariates and facilitate the interpretation of the coefficients. The model is compared with common models defined in the positive line also reparametrized in the mean. Parameter estimation is approached based on the expectation–maximization algorithm. Furthermore, we discuss residuals and influence diagnostic tools. A simulation study for recovered parameters is presented. Finally, an application illustrating the advantages of the model in a real data set is presented.

Design and implementation hamming neural network with VHDL

<p>Hamming Neural Network is type of artificial neural network consist of two types of layers (Feed Forward Layers and Recurrent Layer). In this paper, two inputs of patterns in bianary number were used. In the first layer, two neurons and pure line function were used. In the second layer, three neurons and positive line function were used. Also applied Hamming Neural networks algorithm in three simulation methods (Logical gate method, software program coding method and instant block diagram method). In this work in VHDL software program was used and FPGA hardware used.</p>

Doubly constrained totally positive line insertion

It is shown that in any TP matrix, a line (row or column) with two speci˝ed entries in any positions (and the others appropriately chosen) may be inserted in any position, as long as the two entries are consistent with total positivity. This generalizes an unconstrained result previously proven, and the two may not generally be increased to three or more. Applications are given, and this fact should be useful in other completion problems, as the unconstrained result has been.

Regularity Properties of Free Multiplicative Convolution on the Positive Line

Given two nondegenerate Borel probability measures $\mu$ and $\nu$ on ${\mathbb{R}}_{+}=[0,\infty )$, we prove that their free multiplicative convolution $\mu \boxtimes \nu$ has zero singular continuous part and its absolutely continuous part has a density bounded by $x^{-1}$. When $\mu$ and $\nu$ are compactly supported Jacobi measures on $(0,\infty )$ having power law behavior with exponents in $(-1,1)$, we prove that $\mu \boxtimes \nu$ is another Jacobi measure whose density has square root decay at the edges of its support.