The use of task graphs for modeling complex system behavior

Author(s):  
A. Silberman ◽  
A.D. Stoyen ◽  
K. Sundaram
2021 ◽  
Vol 11 (13) ◽  
pp. 5944
Author(s):  
Gunwoo Lee ◽  
Jongpil Jeong

Semiconductor equipment consists of a complex system in which numerous components are organically connected and controlled by many controllers. EventLog records all the information available during system processes. Because the EventLog records system runtime information so developers and engineers can understand system behavior and identify possible problems, it is essential for engineers to troubleshoot and maintain it. However, because the EventLog is text-based, complex to view, and stores a large quantity of information, the file size is very large. For long processes, the log file comprises several files, and engineers must look through many files, which makes it difficult to find the cause of the problem and therefore, a long time is required for the analysis. In addition, if the file size of the EventLog becomes large, the EventLog cannot be saved for a prolonged period because it uses a large amount of hard disk space on the CTC computer. In this paper, we propose a method to reduce the size of existing text-based log files. Our proposed method saves and visualizes text-based EventLogs in DB, making it easier to approach problems than the existing text-based analysis. We will confirm the possibility and propose a method that makes it easier for engineers to analyze log files.


2021 ◽  
Author(s):  
M.V. Pirogov

Complex artificial purposeful systems and their software and hardware are characterized not only by achievements, but also disadvantages leading to significant losses. Modern automation tools do not fully cope with the existing problems. To solve the problems of complex systems, new effective tools are needed, new modeling technology. This technology should cover all significant aspects of the problem area. It seems that such technology should be based on radical modeling and the universal language of radical schemes RADICAL. A radical is a system characterized by both active (working) and passive states. Being connected with each other radicals form schemes of radicals. These schemes are constructions of the RADICAL language. In the aggregate, these schemes realize radical environment – radical model of united problem area of complex system. That is, the problem area is represented by a single global scheme of radicals. The work with such a scheme is carried out using the universal language of radical schemes RADICAL, applicable to the problem area of any complex system by constructing sections of the RADICAL language, expressed by the schemes of radicals. The purpose of the work is to consider the use of radical schemes for the implementation of the structures of sections (sequences of sections) of the RADICAL language when modeling complex system. The results of the work are descriptions of some typical schemes of radicals intended for the implementation of the section structures of the RADICAL language when modeling complex purposeful systems. Something significant sequences of sections are considered. The practice of using of structures of cross-sections of the media of radicals, expressed by the schemes of radicals, indicates the expediency of they use for radical modeling of problem areas of complex purposeful systems, for the development and modification of software and information support of such systems.


2016 ◽  
Vol 705 ◽  
pp. 323-331 ◽  
Author(s):  
Togay Ozbakkaloglu

This paper presents the results of 20 hollow and concrete-filled double-skin tubular columns (DSTCs), which were tested as part of a comprehensive experimental program that was undertaken at The University of Adelaide on FRP-concrete steel DSTCs. The paper is aimed at providing important insights into the influence of two key parameters, namely the diameter of inner steel tube and presence/absence of a concrete-filling inside the inner steel tube, which play major roles in the column behavior through their influences on a series of interacting mechanisms that govern the complex system behavior. A detailed examination of the results yielded a number of important insights into the mechanisms that influence the compressive behavior of DSTCs.


2018 ◽  
pp. 569-584
Author(s):  
Arlindo Kamimura ◽  
Geraldo Burani ◽  
Ildo Sauer

In Brazil, malaria is an endemic disease present mainly in the Legal Amazon (LA), which accounts for more than 99% of the country´s cases. In 2000 the number of new cases of malaria in LA was 613.3 thousand, decreasing to 265.4 thousand cases in 2011, thus dropping by 56.7%. The malaria system behavior depends on many interrelated variables and environmental factors, constituting itself in a complex, non-linear dynamical living system, whose resulting dynamics have as main characteristics the unpredictability and the extreme sensitivity to the initial conditions. This paper is an investigation of a possible additional cause for the huge decrease in cases of malaria in the states of LA, in addition to the already recognized governmental effort to malaria disease control. The hypothesis adopted is that all domestic animals (exception fowls) compete with the man in the position of hosts feeding of the mosquito Anopheles, vector-borne of the disease.


Open Physics ◽  
2015 ◽  
Vol 13 (1) ◽  
Author(s):  
Dragutin T. Mihailović ◽  
Gordan Mimić ◽  
Emilija Nikolić-Djorić ◽  
Ilija Arsenić

AbstractWe propose novel metrics based on the Kolmogorov complexity for use in complex system behavior studies and time series analysis. We consider the origins of the Kolmogorov complexity and discuss its physical meaning. To get better insights into the nature of complex systems and time series analysis we introduce three novel measures based on the Kolmogorov complexity: (i) the Kolmogorov complexity spectrum, (ii) the Kolmogorov complexity spectrum highest value and (iii) the overall Kolmogorov complexity. The characteristics of these measures have been tested using a generalized logistic equation. Finally, the proposed measures have been applied to different time series originating from: a model output (the biochemical substance exchange in a multi-cell system), four different geophysical phenomena (dynamics of: river flow, long term precipitation, indoor


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