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Uncertainty Interval Evaluation Using the Chi-Square and Fisher Distributions in the Measurement Process

Marcantonio Catelani Andrea Zanobini Lorenzo Ciani
Metrology and Measurement Systems | 2010 | No 2 | DOI: 10.2478/v10178-010-0017-5
Keywords measurement uncertainty confidence level statistical distributions
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Abstract

Referring to the Guide to the Expression of Uncertainty in Measurement (GUM), the paper proposes a theoretical contribution to assess the uncertainty interval, with relative confidence level, in the case of n successive observations. The approach is based on the Chi-square and Fisher distributions and the validity is proved by a numerical example. For a more detailed study of the uncertainty evaluation, a model for the process variability has been also developed.
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Authors and Affiliations

Marcantonio Catelani
Andrea Zanobini
Lorenzo Ciani

Statistical significance of displacements in heterogeneous control networks

Krzysztof Nowel Waldemar Kamiński
Geodesy and Cartography | 2013 | vol. 62 | No 2 | DOI: 10.2478/geocart-2013-0009
Keywords deformation analysis statistical test confidence ellipse estimation of variance components
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Abstract

This paper proposes a modification of the classical process for evaluating the statistical significance of displacements in the case of heterogeneous (e.g. linear-angular) control networks established to deformation measurements and analysis. The basis for the proposed solution is the idea of local variance factors. The theoretical discussion was complemented with an example of its application on a simulated horizontal control network. The obtained results showed that the evaluation of the statistical significance of displacements in the case of heterogeneous control networks should be carried out using estimators of local variance factors.
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Authors and Affiliations

Krzysztof Nowel
Waldemar Kamiński

Local height transformation through polynomial regression

Marcin Ligas Piotr Banasik
Geodesy and Cartography | 2012 | vol. 61 | No 1 | DOI: 10.2478/v10277-012-0018-5
Keywords height transformation polynomial regression confidence intervals cros-svalidation
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Authors and Affiliations

Marcin Ligas
Piotr Banasik

Agreement of different methods for assessment of progesterone concentrations in beef cattle serum

A. Rekešiūtė A. Januškauskas A. Šiukščius V. Riškevičienė A. Vitkauskienė R. Verkauskienė R. Antanaitis H. Žilinskas
Polish Journal of Veterinary Sciences | 2019 | vol.22 | No 4 | 695-701 | DOI: 10.24425/pjvs.2019.129982
Keywords agreement confidence interval assessment methods progesterone sample extraction ELISA RIA
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Abstract

Progesterone (P4) is responsible for the main reproduction processes. Concentration of P4 varies widely among different determination methods, and interpretation of these values may be difficult. The objective of the current study was to assess the agreement of three different enzyme immunoassays (ELISA) in relation to radioimmunoassay (RIA) of P4 concentration assessment of beef cow serum samples. Samples were collected randomly considering high (pregnant cows) and low (non-pregnant cows) P4 concentrations. Depending on the P4 assessment method, four groups were created as follows: Group 1 – direct samples assessed by ELISA, Group 2 – extracted samples assessed by ELISA, Group 3 – samples assessed by automated ELISA, and Group 4 – samples assessed by RIA.

The mean progesterone concentration was 4.50 ng/mL, 1.24 ng/mL, 4.07 ng/mL and 4.39 ng/mL from Group 1 to Group 4, respectively. The mean difference (MD) between Group 1, Group 2 and Group 3 individually compared with Group 4 was −0.10 ± 1.24 ng/mL, 3.15 ± 3.58 ng/mL and 0.33 ± 1.42 ng/mL, and the 95% confidence interval (CI) for the differences (s) was from −0.99 to 0.78 ng/mL, from 0.59 to 5.71 ng/mL, and from −0.69 to 1.34 ng/mL, respectively. The confidence interval for the lower and upper limit of the agreement ranged from −4.12 to −1.05 ng/mL and from 0.84 to 3.91 ng/mL between Group 1 and Group 4, from −8.45 to 0.42 ng/ mL and from 5.88 to 14.75 ng/mL between Group 2 and Group 4, from −4.29 to −0.76 ng/mL, and from 1.41 to 4.94 ng/mL between Group 3 and Group 4.

Our findings show that the best agreement with RIA was observed for Group 1 and Group 3, while the agreement in the extraction method was least accurate.

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Authors and Affiliations

A. Rekešiūtė
A. Januškauskas
A. Šiukščius
V. Riškevičienė
A. Vitkauskienė
R. Verkauskienė
R. Antanaitis
H. Žilinskas

Image segmentation method of mine pass soil and ore based on the fusion of the confidence edge detection algorithm and mean shift algorithm

Feng Jin Kai Zhan Shengjie Chen Shuwei Huang Yuansheng Zhang
Gospodarka Surowcami Mineralnymi - Mineral Resources Management | 2021 | vol. 37 | No 4 | 133-152 | DOI: 10.24425/gsm.2021.139742
Keywords edge detection confidence mean shift algorithm image segmentation
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Abstract

In the execution of edge detection algorithms and clustering algorithms to segment image containing ore and soil, ore images with very similar textural features cannot be segmented effectively when the two algorithms are used alone. This paper proposes a novel image segmentation method based on the fusion of a confidence edge detection algorithm and a mean shift algorithm, which integrates image color, texture and spatial features. On the basis of the initial segmentation results obtained by the mean shift segmentation algorithm, the edge information of the image is extracted by using the edge detection algorithm based on the confidence degree, and the edge detection results are applied to the initial segmentation region results to optimize and merge the ore or pile belonging to the same region. The experimental results show that this method can successfully overcome the shortcomings of the respective algorithm and has a better segmentation results for the ore, which effectively solves the problem of over segmentation.
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Authors and Affiliations

Feng Jin
1 2
ORCID: ORCID
Kai Zhan
1
Shengjie Chen
1
Shuwei Huang
1
ORCID: ORCID
Yuansheng Zhang
1
  1. BGRIMM Technology Group, China
  2. University of Science and Technology Beijing, China

Establishment of local geodetic networks based on least-squares adjustments of GNSS baseline vectors

Gabriel Weiss Slavomir Labant Juraj Gasinec Hana Stankova Pavel Cernota Erik Weiss Roland Weiss
Advances in Geodesy and Geoinformation | 2022 | vol. 71 | No 1 | e15 | DOI: 10.24425/gac.2022.141168
Keywords GNSS measurements local geodetic networks LSM adjustments confidence ellipsoid
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Abstract

Slope deformations, i.e., all types of landslides of rock masses (flow, creep, fall down, etc.), caused by gravitational forces, are the most widespread implementation of geological hazards and a negative geomorphological phenomenon that threatens the security of the population, destroy all utility values of the affected regions, negatively affects the environment, and cause considerable economic damage. Nowadays, the Global Navigation Satellite Systems (GNSS) provide accurate data for precise observations around the world due to the growing number of satellites from multiple operators, as well as more powerful and advanced technologies and the implementation of mathematical and physical models more accurately describing systematic errors that degrade GNSS observations such as ionospheric, tropospheric, and relativistic effects or multipath. The correct combination of measurement methods provides even more precise, i.e., better measurement results or estimates of unknown parameters. The combination of measurement procedures and their significant evaluations represent the essential attribute of deformation monitoring of landslides concerning the protection of the environment and the population’s safety in the interest areas for the sustainable development of human society. This article presents the establishment and use of a local geodetic network in particular local space for various needs. Depending upon the specific conditions, it is possible to use GNSS technology to obtain accurate observations and achieve the results applicable to the deformation survey for subsequent processing of the adjustment procedure.
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Authors and Affiliations

Gabriel Weiss
1
ORCID: ORCID
Slavomir Labant
1
ORCID: ORCID
Juraj Gasinec
1
ORCID: ORCID
Hana Stankova
2
ORCID: ORCID
Pavel Cernota
2
ORCID: ORCID
Erik Weiss
3
ORCID: ORCID
Roland Weiss
3
ORCID: ORCID
  1. Technical University of Kosice, Kosice, Slovakia
  2. VSB – Technical University of Ostrava, Ostrava, Czech Republic
  3. University of Economics in Bratislava, Bratislava, Slovakia

Evacuation by leader-follower model with bounded confidence and predictive mechanisms

Ricardo Almeida Ewa Girejko Luís Machado Agnieszka B. Malinowska Natália Martins
Archives of Control Sciences | 2021 | vol. 31 | No 3 | 629-644 | DOI: 10.24425/acs.2021.138695
Keywords multi-agent systems emergency model predictive control bounded confidence
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Abstract

This paper studies an evacuation problem described by a leader-follower model with bounded confidence under predictive mechanisms. We design a control strategy in such a way that agents are guided by a leader, which follows the evacuation path. The proposed evacuation algorithm is based on Model Predictive Control (MPC) that uses the current and the past information of the system to predict future agents’ behaviors. It can be observed that, with MPC method, the leader-following consensus is obtained faster in comparison to the conventional optimal control technique. The effectiveness of the developed MPC evacuation algorithm with respect to different parameters and different time domains is illustrated by numerical examples.
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Authors and Affiliations

Ricardo Almeida
1
Ewa Girejko
2
ORCID: ORCID
Luís Machado
3 4
Agnieszka B. Malinowska
2
ORCID: ORCID
Natália Martins
1
  1. Center for Research and Development in Mathematics and Applications (CIDMA), Department of Mathematics, University of Aveiro, 3810–193 Aveiro, Portugal
  2. Faculty of Computer Science, Bialystok University of Technology, 15-351 Białystok, Poland
  3. Institute of Systems and Robotics, DEEC – UC, 3030-290 Coimbra, Portugal
  4. Department of Mathematics, University of Trás-os-Montes e Alto Douro (UTAD), 5000-801 Vila Real, Portugal

Ore extraction and analysis from RGB image and 3D Point Cloud

Feng Jin Kai Zhan Shengjie Chen Shuwei Huang Yuansheng Zhang
Gospodarka Surowcami Mineralnymi - Mineral Resources Management | 2022 | vol. 38 | No 1 | 89-106 | DOI: 10.24425/gsm.2022.140612
Keywords ore image 3D point cloud embedded confidence edge detection mean-shift cross-calibration
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Abstract

Based on the theory of computer vision, a new method for extracting ore from underground mines is proposed. This is based on a combination of RGB images collected by a color industrial camera and a point cloud generated by a 3D ToF camera. Firstly, the mean-shift algorithm combined with the embedded confidence edge detection algorithm is used to segment the RGB ore image into different regions. Secondly, the effective ore regions are classified into large pieces of ore and ore piles consisting of a number of small pieces of ore. The method applied in the classification process is to embed the confidence into the edge detection algorithm which calculates edge distribution around ore regions. Finally, the RGB camera and the 3D ToF camera are calibrated and the camera matrix transformation of the two cameras is obtained. Point cloud fragments are then extracted according to the cross-calibration result. The geometric properties of the ore point cloud are then analysed in the subsequent procedure.
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Authors and Affiliations

Feng Jin
1
ORCID: ORCID
Kai Zhan
2
Shengjie Chen
2
Shuwei Huang
2
ORCID: ORCID
Yuansheng Zhang
2
  1. BGRIMM Technology Group University of Science and Technology Beijing, China
  2. BGRIMM Technology Group, China

Individual´s self-image and selected preconditions for its advancement

Alena Vališová
Studia Pedagogiczne | 2017 | tom LXX | 217-226
Keywords Self-consciousness self-evaluation self-respect self-appreciation self-recognition self-confidence self-realization psychical hygiene praise positive access active life position
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Abstract

The presented article points to the issues of self-consciousness and the possibilities of its development. It defines in this context also concepts of self-evaluation, self-respect, self-appreciation, self-recognition, self-confidence and self-realization. In the text, it is emphasized that self-consciousness is related to the awareness of one´s own psychophysical and social identity - I myself and the world and my place in it. An important means for the development of the healthy self-consciousness is also praise. In the conclusion of the article, attention is paid to the psycho-hygiene as prevention of the failure.

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Authors and Affiliations

Alena Vališová

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