scholarly journals SYSTEM-INFORMATION APPROACH TO UNCERTAINTY OF PROCESS AND SYSTEM PARAMETERS

2021 ◽  
pp. 91-105
Author(s):  
Sergey Lutskyy
Keyword(s):  
Measurement Theory ◽  
Information Modeling ◽  
Measured Quantity ◽  
Systems Methodology ◽  
Information Approach ◽  
Energy Equivalent ◽  
Probabilistic Information ◽  
True Value ◽  
System Information ◽  
Effective Use

The subject matter of research in the article is a system-information approach to the uncertainty of the parameters of processes and systems of the technosphere as one of the scientific directions of using information theory in metrology and other scientific areas. The system-information approach is based on the definition of the term "information" of the properties of the system, its content and meaning. The solution of the basic problem in metrology, obtaining "information" of the quantitative characteristics of the true value of the properties of objects and phenomena that reveal the regularities of the environment, is a complex scientific problem. The instrument for obtaining information about the properties of the system is the measurement process. One of the directions in the development of measurement theory is the concept of uncertainty. The goal of the work is to research of non-traditional solutions to problems of technical-cybernetic systems based on the system-information approach to the uncertainty of the parameters of processes and systems. The article solves the following tasks: to analyze the assessment of the parameters of technological processes and systems based on the system-information approach; to develop system-information methods and algorithms for the effective use of discrete-probabilistic information in technical-cybernetic systems; to develop principles and approaches for using the system-information assessment of the uncertainty of the Planck units, use of system-information modeling in various scientific directions. The following methods are used: system-information approach to processes and systems, methodology of system-information modeling of the measured value; system information methodology for the assessment of the measured quantity and uncertainty. The following results were obtained: developed a system-information methodology for assessing the nominal parameter has been developed, which provides indirect control over the independent parameters associated with it; systemic and information methods for the effective use of discrete-probabilistic information in technical and cybernetic systems have been developed; a system-information methodology for calculating the energy equivalent of product performance indicators has been developed; the principle of calculating the efficiency of manufacturing a product based on the energy equivalent of Planck units is formulated. Conclusions: The solution of the set tasks on the basis of the system-information approach to the uncertainty of the parameters of processes and systems makes it possible, from the system-information point of view, to study the regularities of the stages of the life cycle of technical-cybernetic systems and conservation laws.

scholarly journals How to tell about errors not boringly: methodological analysis of expounding the basis of data processing

2020 ◽  
Vol 2020 (2 (131)) ◽  
pp. 104-115
Author(s):  
Oksana Lozovenko ◽  
Yevgeny Sokolov
Keyword(s):  
Confidence Interval ◽  
Experimental Research ◽  
Basic Skills ◽  
A Priori ◽  
Teaching Experience ◽  
Measured Quantity ◽  
General View ◽  
True Value ◽  
Training Interval ◽  
The Mean

The authors continue to report about results they have obtained in the process of creating a special introductory one-semester Laboratory Physics course «Search for Physics laws». It is known that the teaching experience and the results of the performed tests show that most students do not acquire the basic skills for conducting an experimental research. This course was built on the basis of the algorithm of systematic construction of students’ skills for carrying out an experimental research. The authors have used Galperin’s stepwise teaching procedure which was developed on the assumption that learning any kind of knowledge involves different kinds of actions. The authors have analysed different ways of how to expound the basic ideas of data analysis, and shown their connection with the point, syncretic and training-interval paradigms. Action diagrams are provided for each type of expounding. As an example of using the training-interval paradigm for teaching first-year students of a technical university, a specially designed lab session is presented in the article. The topic of the session is “The concept of a confidence interval”. Laboratory Work 1 “The Buffon-de Morgan Experiment”. This lab session meets several important requirements: a) the number of computations is minimised; b) a directly measurable quantity is considered; c) students are provided with a “fulcrum” in the form of a priori known true value of a quantity. A general view on measuring physics quantities is summarised in four quite unexpected for students “unpleasant axioms”: 1) none of measured values coincides with the true value of a quantity; 2) the mean of measured values does not coincide with the true value of a quantity; 3) even if, by a lucky chance, one of measured values or the mean coincided with the true value of a quantity, we would never know about it; 4) a confidence interval catches the true value of a measured quantity only in 68% of cases. The authors claim that the presented lab lesson allows demonstrating the equity of these “axioms” clearly and vividly, and that the organised laboratory sessions in the new way are significantly more successful in improving students’ basic skills of error analysis than traditional laboratory sessions.

A New Method for Partial Discharge Signal Processing

2014 ◽  
Vol 1070-1072 ◽  
pp. 1163-1166
Author(s):  
Hui Qi Li ◽  
Kai Hong Wang
Keyword(s):  
Signal Processing ◽  
Measurement Theory ◽  
Partial Discharge ◽  
Dynamic Measurement ◽  
Ar Model ◽  
Random Component ◽  
Matlab Simulation ◽  
Deterministic Component ◽  
True Value ◽  
Signal Processing Method

A partial discharge (PD) signal processing method based on dynamic measurement theory and wavelet transform is proposed in this paper. The deterministic component was separated by polynomial fitting, and the random component of the remaining residual after the separation was estimated using autoregressive (AR) model; The true value estimate and dynamic measurement uncertainty of noisy signal were obtained by the deterministic component and random component;Db8 wavelet and the soft threshold based on Stein’s Unbiased Estimate of Risk were used to smoothly denoise for better PD signal processing. Finally, the effectiveness of the method was verified by MATLAB simulation and experimental noisy PD signal extraction.

Integration of System-Dynamics, Aspect-Programming, and Object-Orientation in System Information Modeling

2014 ◽  
Vol 10 (2) ◽  
pp. 847-853 ◽  
Author(s):  
Junwei Wang ◽  
Dong Liu ◽  
Wai Hung Ip ◽  
Wenjun Zhang ◽  
Ralph Deters
Keyword(s):  
System Dynamics ◽  
Object Orientation ◽  
Information Modeling ◽  
System Information

scholarly journals Augmented Reality to Enable Users to Identify Deviations for Model Reconciliation

Buildings ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 77
Author(s):  
Jad Chalhoub ◽  
Steven K. Ayer ◽  
Kieren H. McCord
Keyword(s):  
Augmented Reality ◽  
Laser Scanning ◽  
Effective Field ◽  
Information Modeling ◽  
Field Of View ◽  
Small Deviations ◽  
Field Verification ◽  
Building Information ◽  
Effective Use ◽  
Verification Techniques

Effective use of Building Information Modeling (BIM) during operation typically requires modeled content to accurately match the built spaces, which necessitates effective field verification techniques to ensure that BIM content matches the actual built conditions. Some contractors leverage laser scanning and other reality-capture technologies to verify modeled content prior to turnover, but these approaches can be time- and resource-intensive. Augmented reality (AR) enables users to view BIM content overlaid on their field of view of the built space. Research suggests potential for using AR for tasks related to field verification, but a study that systematically explores the specific types of deviations that can be detected with this technology is missing from the current literature. This paper tasks participants with using immersive AR to identify deviations from BIM in a ceiling plenum space that includes installed Mechanical, Electrical and Plumbing (MEP) components, which would typically be included in a coordinated BIM. The results suggest that AR can enable users to effectively identify large deviations and missing building elements. However, the results do not indicate that AR effectively enables users to identify small deviations and can potentially lead to identifying false positive observations, where accurately constructed elements are perceived as deviating from BIM. These results suggest that immersive AR can effectively be used to check whether recently built elements conform to the intended BIM in instances where speed of verification is more important than adhering to strict tolerances. For instances where accuracy (less than two inches) is critical, the results of this work suggest that AR can be used to help determine where in the building more accurate, but more resource-intensive, reality-capture technologies should be used.

Utilization of Advanced Manufacturing Technologies in an Indian Manufacturing Enterprise

2011 ◽  
Vol 110-116 ◽  
pp. 2210-2216
Author(s):  
Harwinder Singh ◽  
J.S. Khamba
Keyword(s):  
New Technologies ◽  
Systems Methodology ◽  
Soft Systems ◽  
Use Of Resources ◽  
Advanced Manufacturing Technologies ◽  
Time Utilization ◽  
Strategic Success ◽  
Manufacturing Organization ◽  
Manufacturing Technologies ◽  
Effective Use

In the present turbulent times, survival and success of any organization increasingly depends on effective use of resources available in any organization. The present study has been carried out to assess the utilization of new technologies in the manufacturing organization. A feasibility study has been carried out to find out the utilization level of different technologies for strategic success. The study has been conducted by considering the following aspects:- Utilization of different operations with respect to time. Utilization of machines by comparing the costs of automatic machines with conventional machines. It has been observed that the utilization level of all the sections is more than 70% with respect to time. The research has been carried out using flexible systems methodology. SAP-LAP (Situation Actor Process-Learning Action Performance) is a holistic framework that blends hard systems and soft systems paradigms. For this reason, the enterprises aim for improving the utilization level of existing resources.

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