scholarly journals Assessment the impact of samplers change on the uncertainty related to geothermalwater sampling

2018 ◽  
Vol 30 ◽  
pp. 01006
Author(s):  
Katarzyna Wątor ◽  
Anna Mika ◽  
Klaudia Sekuła ◽  
Ewa Kmiecik
Keyword(s):  
Measurement Uncertainty ◽  
Analysis Of Variance ◽  
Robust Statistics ◽  
Engineering Geology ◽  
Geothermal Water ◽  
Chemical Analyses ◽  
Water Sampling ◽  
Icp Oes ◽  
The Impact ◽  
Metasilicic Acid

The aim of this study is to assess the impact of samplers change on the uncertainty associated with the process of the geothermal water sampling. The study was carried out on geothermal water exploited in Podhale region, southern Poland (Małopolska province). To estimate the uncertainty associated with sampling the results of determinations of metasilicic acid (H2SiO3) in normal and duplicate samples collected in two series were used (in each series the samples were collected by qualified sampler). Chemical analyses were performed using ICP-OES method in the certified Hydrogeochemical Laboratory of the Hydrogeology and Engineering Geology Department at the AGH University of Science and Technology in Krakow (Certificate of Polish Centre for Accreditation No. AB 1050). To evaluate the uncertainty arising from sampling the empirical approach was implemented, based on double analysis of normal and duplicate samples taken from the same well in the series of testing. The analyses of the results were done using ROBAN software based on technique of robust statistics analysis of variance (rANOVA). Conducted research proved that in the case of qualified and experienced samplers uncertainty connected with the sampling can be reduced what results in small measurement uncertainty.

scholarly journals Robust Filtering Techniques for RTK Positioning in Harsh Propagation Environments

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1250
Author(s):  
Daniel Medina ◽  
Haoqing Li ◽  
Jordi Vilà-Valls ◽  
Pau Closas
Keyword(s):  
Intelligent Transportation Systems ◽  
Robust Statistics ◽  
Real Data ◽  
Transportation Systems ◽  
Global Navigation Satellite Systems ◽  
Mixed Integer ◽  
Robust Filtering ◽  
Precise Positioning ◽  
The Impact ◽  
Filtering Techniques

Global navigation satellite systems (GNSSs) play a key role in intelligent transportation systems such as autonomous driving or unmanned systems navigation. In such applications, it is fundamental to ensure a reliable precise positioning solution able to operate in harsh propagation conditions such as urban environments and under multipath and other disturbances. Exploiting carrier phase observations allows for precise positioning solutions at the complexity cost of resolving integer phase ambiguities, a procedure that is particularly affected by non-nominal conditions. This limits the applicability of conventional filtering techniques in challenging scenarios, and new robust solutions must be accounted for. This contribution deals with real-time kinematic (RTK) positioning and the design of robust filtering solutions for the associated mixed integer- and real-valued estimation problem. Families of Kalman filter (KF) approaches based on robust statistics and variational inference are explored, such as the generalized M-based KF or the variational-based KF, aiming to mitigate the impact of outliers or non-nominal measurement behaviors. The performance assessment under harsh propagation conditions is realized using a simulated scenario and real data from a measurement campaign. The proposed robust filtering solutions are shown to offer excellent resilience against outlying observations, with the variational-based KF showcasing the overall best performance in terms of Gaussian efficiency and robustness.

scholarly journals Benefits of implementing IT tools and procedures for the estimation and measurement uncertainty in testing laboratories

2020 ◽  
Vol 2 (7) ◽  
pp. 317-323
Author(s):  
Maria Cristina Dijmarescu
Keyword(s):  
Measurement Uncertainty ◽  
Rapid Expansion ◽  
Market Demand ◽  
Destructive Testing ◽  
Continuous Increase ◽  
Testing Laboratories ◽  
Quality Of Products ◽  
The Impact ◽  
Non Destructive

Destructive and non-destructive testing of materials present a rapid expansion given by the increase in market demand caused by the desire to obtain an increasingly better quality of products. The continuous increase in quality demands leads directly to the need to implement and modernize the techniques, methods, and equipment used for quality control. Consequently, the need for product testing services has a rapid growth. This paper presents the strength and weaknesses of implementing IT tools for the estimation of the measurement uncertainty in testing laboratories and the impact of these tools on the economic part

scholarly journals Methods and techniques of research motivation and satisfaction of employees

2021 ◽  
Vol 9 (2) ◽  
pp. 53-63
Author(s):  
Dragana Pešić-Jenačković
Keyword(s):  
Analysis Of Variance ◽  
Employee Motivation ◽  
Test Point ◽  
Coefficient Of Determination ◽  
Business Success ◽  
Chi Square ◽  
Methods And Techniques ◽  
Chi Square Test ◽  
Using Data ◽  
The Impact

Motivation and employee satisfaction are very important precondition for the effectiveness of work and the achievement of set goals for individuals and organizations. Consequently, continuous measurement of employee motivation and satisfaction is essential to improve company's efficiency and improve human resource use. The results of a well-planned, detailed and adequate methods and techniques of research on employee motivation and satisfaction can be applied to the design of various schemes in order to reduce absenteeism and employee turnover and overall business success. In this paper, the emphasis is on the methodology of researching employee motivation and satisfaction. In addition to the elaboration of questionnaires with scales for measuring the motivation and satisfaction of employees, it is explained in which situations, in which types of questions and answers, respectively, types of data, and how certain statistical techniques are applied, such as: T-test, One-factor analysis of variance (ANOVA), Chi-square test, Point-two-series correlations. Also, the importance of using the subsequent post hoc test (LSD comparison) in the analysis of variance, as well as the indicators of correlation, the strength of the impact, such as: phi correlation coefficient, Kramer's coefficient and contingency coefficient, is pointed out in the Chi-square test. In addition to the mentioned techniques and indicators from SPSS, the role of certain indicators (eta squared and coefficient of determination) is calculated, which are calculated using data from research results and with the help of certain formulas

scholarly journals Methodological study of extraction procedures applied to urban particulate matter

2011 ◽  
Vol 9 (6) ◽  
pp. 1071-1079 ◽  
Author(s):  
Jirina Sysalova ◽  
Jirina Szakova ◽  
Walter Goessler ◽  
Jana Tremlova
Keyword(s):  
Extraction Procedure ◽  
Arsenic Species ◽  
Water Soluble ◽  
Icp Oes ◽  
Methodological Study ◽  
Species Occurrence ◽  
Air Filters ◽  
Extraction Procedures ◽  
Icp Ms ◽  
The Impact

AbstractThe modified BCR three-step sequential extraction procedure has been applied to two different samples of urban particulate matters (PM). The distribution of selected trace elements As, Cd, Cr, Mn, Ni, Pb, Zn was investigated and, in a comparative study, the presence of common organic air filters in extraction procedures was evaluated. Analytes in separate fractions were determined by ICP-OES and GFAAS, respectively, depending on concentration levels. While, due to air filters, a significant increase of some analytes mobility in individual fractions has been observed in case of the jet-milled PM (tunnel Letna), but in case of the PKC sample such effect was not found. The analyte impurities built in some filters has been tested, and the impact on the reliability of analyte results has been discussed. The arsenic species occurrence and their stability in presence of air filters (size 47 mm) were investigated in both urban PM samples as well, using HPLC-ICP-MS technique. Water soluble and by three-step BCR procedure extractable arsenic forms are shown in chromatograms

Investigation of mb and MS formulas for the Western United States and their impact on the MS/mb discriminant

1987 ◽  
Vol 77 (3) ◽  
pp. 987-995
Author(s):  
Marvin D. Denny ◽  
Steven R. Taylor ◽  
Eileen S. Vergino
Keyword(s):  
United States ◽  
Systematic Error ◽  
Analysis Of Variance ◽  
Magnitude Estimate ◽  
Peak Amplitude ◽  
Western United States ◽  
Station Correction ◽  
Simple Analysis ◽  
The Impact ◽  
Distance Correction

Abstract The impact of regional mb and MS formulas on regional MS/mb discrimination is investigated using a large number of Western United States earthquakes and explosions. Comparison of NEIS mb values with regional mb values shows a systematic error of 1.2. Additionally, a simple analysis of variance shows that the variance of the magnitude estimate is reduced when log(A) replaces log(A/T). These changes, along with a refinement of the distance correction, yield a new regional mb for the Western United States given by mb = log(A) + 2.4 log(Δ) − 3.95 + cj, where A = 0 to peak amplitude in nanometers, Δ is the distance in kilometers, and ci is a station correction. Usage of this formula improves the performance of regional MS/mb discrimination by a factor of 2 to 6.

Comparison of Four MANOVA Test Statistic for Pig Production in Delta State, Nigeria

2021 ◽  
Vol 6 (5) ◽  
pp. 43-49
Author(s):  
J. M. Aniesedo ◽  
C. N. Okoli
Keyword(s):  
Multivariate Analysis ◽  
Analysis Of Variance ◽  
Multivariate Normality ◽  
Secondary Source ◽  
Multivariate Analysis Of Variance ◽  
Test Statistic ◽  
Pig Production ◽  
Normality Test ◽  
Significant Difference ◽  
The Impact

This study used the multivariate analysis of variance (MANOVA) test statistic to examine the impact of three categories feed used in the production of pig in Delta State. The multivariate test statistic considered are the Pillai – Bartlett trace, Wilks’ Test Statistic, Roy’s Largest Root Test Statistic, and the Lawley- Hotelling (LH) Statistic. The objectives include to: evaluate the robustness of the four Multivariate Analysis of Variance test statistics to ensure that the best is employed in multivariate analysis to guarantee most useful result in pig production; determine the relatively efficient test statistic for pig production; and determine the test statistic that is consistent across the sample sizes. Secondary source of data collection was used to obtain the data required for the analysis. The outcome of the study showed that the obtained data was multivariate normally distributed based on the result of the asymmetry-based multivariate normality test and the multivariate normality test based on the kurtosis test which makes the data suitable parametric multivariate method such as multivariate analysis of variance (MANOVA). The results show that the Wilks and Roy tests found a significant difference for the intercept. While the Pillai and LH tests could not find any significance. The Roy test was also found to be significant for feed one, feed two, and feed three. The Wilks and Roy tests also turned out to be significant differences for the intercept. All test measures showed significance for feed one. The Wilks and Roy tests also showed a significant difference for feed two, while all test measures found a significance for feed one. Another result showed that none of the tests found significance for the interaction between feed one and two, while the Roy test found significance for the interaction between feed one and three, feed two and three and feed one, two and three. The performance of the test for evaluating the performance of feeds for pig production with/without considering interactions was found to be in the following order of magnitude: Roy, Wilks and Pilla = LH. This result implies that the Roy method, with or without consideration of the interaction, has a better performance of the test than the other methods considered in the study.

The Perception of Managers on the Impacts of the Internet in Brazilian Hotels

2003 ◽  
pp. 244-259 ◽  
Author(s):  
Luiz A.M.M. Filho ◽  
Anatália S.M. Ramos
Keyword(s):  
Analysis Of Variance ◽  
Internet Use ◽  
The Internet ◽  
Test Results ◽  
Communication Tool ◽  
Tukey Test ◽  
Significant Difference ◽  
The Impact ◽  
The City

The present study has an exploratory nature and aims to analyze the perception of managers on the efficiency, access importance, use as a communication tool, benefits and difficulties of Internet use in Brazilian hotels and also its effects according to the facilities rank and property size plus managers’ age and experience time. It has been used as a questionnaire to collect data from the managers of 35 hotels in the city of Natal, RN, Brazil. By using analysis of variance (ANOVA) and the Tukey test, results showed that there is almost no significant difference on the perception of managers on the impact of Internet use in hotels. However, those variables that were different show that for younger and less experienced managers and luxurious hotels with more than 50 rooms, there is a more favorable perception on the impacts of the Internet.

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