scholarly journals The Analysis of the State Space of Management Process in the Industry Applying Expert Systems

2017 ◽  
Vol 21 (2) ◽  
pp. 81-90
Author(s):  
Irina Dmitrevna Ivanova ◽  
Andreev Viktorovich Sergutenko ◽  
Jan Radosław Kamiński ◽  
Maciej Kuboń

AbstractThe article includes analysis of expert system application possibilities in the environment of production processes control. Such concepts as artificial intelligence, expert system, intellectual factor, state space were used. The object of the research consisted of the mechanism of controlling an enterprise (manager). These mechanisms were analysed from the point of view of state space. The graph method was used to visualize information presentation. Analysis of control processes of an enterprise was carried out by determination of their state space. The concept of state space itself is completed with numerous measurement values (parameters) under influence of which the process of task solution takes place. Moreover, the concept of static and dynamic elements of state space of the control system is applied. It was shown that dynamic elements enable the quality presentation of space, which without including other restrictions leads to extension of its impact, which confirms that a given system has an intelligent factor.

Author(s):  
Qiong Wu ◽  
Hairong Zeng ◽  
Nariman Sepehri

The analysis of the uniqueness of Filippov’s solutions to non-smooth control systems is important before the solutions can be sought. Such an analysis is extremely challenging when the discontinuity surface is the intersecting discontinuity surfaces. The key step is to study the intersections of the convex sets from Filippov’s inclusions and the sets containing vectors tangent to the discontinuity surfaces. Due to the fact that all the elements of these sets are functions of the states and time and their numerical values can not be obtained before the uniqueness of the solution is analyzed, the determination of such intersections, symbolically, is extremely difficult. In this paper, we propose to firstly transform the control system to a new state space where the discontinuity surfaces can be written in special forms. Secondly, we expand the sets associated with Filippov’s inclusion such that the determinations of the intersections become feasible. Two examples of practical non-smooth control systems are presented to demonstrate the efficacy of the method.


2021 ◽  
Author(s):  
Jasmina Lozanović Šajić ◽  
Sonja Langthaler ◽  
Sara Stoppacher ◽  
Christian Baumgartner

Abstract This paper presents the determination of the transfer function of the spreading pandemic caused by SARS-CoV-2 in different countries. The methodology of system identification, well known in control system theory, based on the number of infected was used. Appropriate hypotheses have been adopted to determine the transfer function of the system. Each country is viewed as a separate system, and comparisons of determined systems are given. The systems are also presented in the state space, the stability of the systems is analysed, and the matrices of controllability and observability are determined. After analysis, it is shown that the spread of the SARS-CoV-2, for each country, can be described with the same order of transfer function and differential equation.


2020 ◽  
Vol 1 (2) ◽  
pp. 26
Author(s):  
Rosyid Ridlo Al Hakim ◽  
Erfan Rusdi ◽  
Muhammad Akbar Setiawan

Since being confirmed by WHO, the status of COVID-19 outbreak has become a global pandemic, the number of cases has been confirmed positive, cured, and even death worldwide. Artificial intelligence in the medical has given rise to expert systems that can replace the role of experts (doctors). Tools to detect someone affected by COVID-19 have not been widely applied in all regions. Banyumas Regency, Indonesia is included confirmed region of COVID-19 cases, and it’s difficult for someone to know the symptoms that are felt whether these symptoms include indications of someone ODP, PDP, positive, or negative COVID-19, and still at least a referral hospital handling COVID-19. Expert system with certainty factor can help someone make a self-diagnose whether including ODP, PDP, positive, or negative COVID-19. This expert system provides ODP diagnostic results with a confidence level of 99.96%, PDP 99.99790%, positive 99.9999997%, negative 99.760384%, and the application runs well on Android OS


2013 ◽  
Vol 347-350 ◽  
pp. 466-470 ◽  
Author(s):  
Xiang Ning Wang ◽  
Qing Lin ◽  
Jing Chen

This paper introduced concept of artificial intelligence and intelligent building at first. Then analyzed the necessity of using AI in the intelligent buildings. At last introduced some typical application of AI in intelligent building such as delightful interior light-environments control system, air conditioning load calculate system and air conditioning control system and fault diagnosis expert system for building intelligent system.


2019 ◽  
Vol 8 (2) ◽  
pp. 28
Author(s):  
Guokun Xie

<p>In order to further improve the overall efficiency of teaching in universities and colleges in China,we specially developed the intelligent teaching control system. This paper makes a comprehensive analysis of the genetic algorithm in artificial intelligence technology, and analyzes the system design criteria, system application and database. It is of great significance to promote the teaching tasks of teachers and related staff.</p>


Author(s):  
Sulis Sandiwarno

The development of information technology has supported many activities, especially in terms of health. Artificial Intelligence (AI) is the application of information technology that is currently developing well. Several previous studies have evaluated models from expert systems to diagnose lung disease in children using Naïve Bayes (NB) and Support Vector Machine (SVM). However, in conducting these evaluations they do not try to make an integrated application to facilitate evaluation. In this study we propose to build a system that integrates NB and SVM classifiers. Furthermore, in this study we used a sample of data from a clinic in Indonesia. The results of this study, we conclude that the existence of this system will make it easier to evaluate the lung disease experienced by children.


2020 ◽  
Author(s):  
Dacyr Gatto ◽  
Renato José Sassi

<p>In the software version release management process, there is a need, on the part of human specialists, to classify the criticality of each software version However, the subjectivity of this classification may be present according to the experience acquired by specialists over the years. In order to reduce subjectivity in the process, an Artificial Intelligence technique called the Expert System (ES) can be applied to represent the knowledge of human specialists and use it in problem solving. <a>Thus, the aim of this paper was to reduce the subjectivity in the criticality classification of the software version with the support of the Expert System. </a>To this end, a questionnaire was developed with the objective of obtaining the criticality opinions classified as High, Medium and Low in each specialist's software version to assist in the preparation of the ES production rules. ES generated 17 production rules with a 100% confidence level applied to a production database. The results of the classification carried out by the ES corresponded to the classification carried out by the specialists in the production base, that is, the ES was able to represent their knowledge. Then, another questionnaire was applied to the specialists in order to verify the perception of satisfaction regarding the use of the ES with a result obtained of 4.8, considered satisfactory. It was concluded, then, that the ES supported the reduction of subjectivity in the classification of the criticality of software version.</p>


2013 ◽  
Vol 341-342 ◽  
pp. 876-879
Author(s):  
Jun Feng Nie ◽  
Wei Ping Liu ◽  
Jin Yi ◽  
Wei Guo Cao

In this paper, from the point of view of Man-machine system engineering, the evaluation method of the display and control system is studied based on fuzzy comprehensive evaluation. The determination of the factors system, the weighted value of the factors, the fuzzy evaluation matrixes and the method of overall evaluation is preliminarily expounded. At last, an example is given to show that the proposed method is effective and applicable. It provides a theoretic reference to the integrated display console interface of armored vehicle developing and designing.


2022 ◽  
Vol 11 (1) ◽  
pp. e37811125132
Author(s):  
Dacyr Dante de Oliveira Gatto ◽  
Renato José Sassi

In the software version release management process, there is a need, on the part of human specialists, to classify the criticality of each software version. However, the subjectivity of this classification may be present according to the experience acquired by specialists over the years. To reduce subjectivity in the process, an Artificial Intelligence technique called Expert System (ES) can be applied to represent the knowledge of human specialists and use it in problem solving. Thus, the aim of this paper was to reduce the subjectivity in the criticality classification of the software version with the support of the Expert System. To this end, a questionnaire was developed with the objective of obtaining the criticality opinions classified as High, Medium and Low in each specialist's software version to assist in the preparation of the ES production rules.  ES generated 17 production rules with a 100% confidence level applied to a production database. The results of the classification carried out by the ES corresponded to the classification carried out by the specialists in the production base, that is, the ES was able to represent their knowledge. Then, another questionnaire was applied to the specialists to verify the perception of satisfaction regarding the use of the ES with a result obtained of 4.8, considered satisfactory. It was concluded, then, that the ES supported the reduction of subjectivity in the classification of the criticality of software version.


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