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This paper proposes an improvement for the standard algorithms used to correlate the radiated emission measurements performed in a gigahertz transverse electromagnetic (GTEM) cell to measurements performed at an open area test site (OATS). The improvement compared with standard correlation algorithms lies in the ability to use literally all data measured. This is achieved by using nonlinear regression...
The objective of this paper is to determine the knowledge sharing behavioral intentions among employees. We developed nine hypotheses on the behavioral intentions of employees with respect to sharing knowledge, which are grounded on theory. In addition, we used 141 valid survey responses from an electronics manufacturing firm in Malaysia and analyzed the data using correlation and regression statistical...
This paper presents four detecting algorithms of multi-scale significant change points with both corrections of the dependence and of non-normal distribution in the series to be tested. The four algorithms are respectively the scanning t-test of changes in subseries means or averages (the first center moment), the scanning F-test of changes in subseries variances or standard deviations, the scanning...
Preliminary study on coal seam correlation is made with the grey relational analysis of B-mode (GRABM). The results show that this method could remedy the defects of traditional coal seam correlation ways effectively. It is the most convenient analysis method compared with Regression analysis, Discriminant function analysis and Cluster analysis.
This research evaluates the performance of the structural similarity index. An increasingly popular image quality metric, the structural similarity index is essentially a measure of the statistical correlation of two images. Its alleged strengths and advantages are widely acclaimed. For an arbitrary set of test images, however, statistical regression reveals a surprisingly high degree of association...
Take the closing price of the composite index on Shanghai A shares as the research object, based on the thought of phase-space reconstruction, by the use of the average mutual information method and G-P algorithm technologies, some geometric invariants of the Shanghai stock market, such as the best delay time, minimum embedding dimension, relevance dimension and Kolmogorov entropy etc., have been...
There is a wealth of information collected about national level socio-economic indicators across all countries each year. These indicators are important in recognizing the level of development in certain aspects of a particular country, and are also essential in international policy making. However with past data spanning several decades and many hundreds of indicators evaluated, trying to get an...
We investigated neural correlates of target detection in the electroencephalogram (EEG) during a free viewing search task and analyzed signals locked to saccadic events. Subjects performed a search task for multiple random scenes while we simultaneously recorded 64 channels of EEG and tracked subjects eye position. For each subject we identified target saccades (TS) and distractor saccades (DS). We...
The mean of a data set is one trivial representation of data from one class. Recently, mutual interdependence analysis (MIA) has been successfully used to extract more involved representations, or ldquomutual featuresrdquo, accounting for samples in the class. For example a mutual feature is a speaker signature under varying channel conditions or a face signature under varying illumination conditions...
Although linear regression is a simple and useful method to build process models, they do not always function well in practice due to not only changes in process characteristics but differences of specifities between the equipments when multiple equipments are operated in parallel. To cope with them, the correlation between variables should be considered. In the present work, a new pattern recognition...
The equipments in power plant are closely related and interacted, and the relationships among the equipments are manifested by operation data. According to the actual operation data, the potential associations can be found and applied to guide the operation optimization in power plant. The characteristics of operation data and the methods of correlation analysis were discussed in detail to estimate...
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