Development of the structure of an intelligent locomotive DSS and as-sessment of its efectiveness

The purpose of the article is developing the locomotive structure of intellectual system of support of decision-making and to find a criterion by which to adequately assess different control action to the train. System of decision support for locomotive crew is seen as a complex structure with complex interactions located at a great distance, on-board locomotive systems. The quality of the organization determines the effectiveness of the system as a whole. To solve the problem of creating the optimal structure of the DSS applies the aggregate-decomposition method that involves two steps: decomposition of the problem into a number of subproblems and aggregating the partial results. To evaluate the quality control of a locomotive used the concept of control strategy with specific indicators. Design is developed and structure of locomotive DSS is obtained, taking into account peculiarities of operation of railway transport. To ac-count for not only quantitative but also qualitative characteristics of activity of the locomotive or intellectual systems of decision support, it is proposed to use methods of fuzzy logic. So were able to deduce and calculate the additive criterion of the quality control activities of the intelligent system. Formal indicator of the quality of the train control process using different strategies is received. In the work theoretically grounded definition of the weighting factors for each partial criterion of the quality of train control. Using the dependencies derived, the nature of the influence of the value of partial criteria on the quality of train control in relation to a strategy. The results of the work allow to more accurately simulate the operations of a locomotive crew, which in the future will serve as the basis for the development of autonomous intelligent systems of locomotive control. The developed method is shown to be three main criteria which values the safety, energy consumption, and execution time schedule. However, for more flexible and accurate model, this approach allows to enter additional criteria, and the simplicity of the calculation provides the necessary speed when implemented on on-board locomotive computers.

Download Full-text

Artificial intelligence as a moving force of improvement and innovative development in education and pedagogic

Informatics and Education ◽

10.32517/0234-0453-2018-33-10-21-30 ◽

2019 ◽

pp. 21-30

Author(s):

M. G. Koliada ◽

T. I. Bugayova

Keyword(s):

Artificial Intelligence ◽

Intelligent Systems ◽

Intelligent System ◽

Interaction Analysis ◽

Educational Data Mining ◽

Main Task ◽

Intellectual System ◽

Will Force ◽

To Come ◽

Artificial Intelligence Systems

The article discusses the history of the development of the problem of using artificial intelligence systems in education and pedagogic. Two directions of its development are shown: “Computational Pedagogic” and “Educational Data Mining”, in which poorly studied aspects of the internal mechanisms of functioning of artificial intelligence systems in this field of activity are revealed. The main task is a problem of interface of a kernel of the system with blocks of pedagogical and thematic databases, as well as with the blocks of pedagogical diagnostics of a student and a teacher. The role of the pedagogical diagnosis as evident reflection of the complex influence of factors and reasons is shown. It provides the intelligent system with operative and reliable information on how various reasons intertwine in the interaction, which of them are dangerous at present, where recession of characteristics of efficiency is planned. All components of the teaching and educational system are subject to diagnosis; without it, it is impossible to own any pedagogical situation optimum. The means in obtaining information about students, as well as the “mechanisms” of work of intelligent systems based on innovative ideas of advanced pedagogical experience in diagnostics of the professionalism of a teacher, are considered. Ways of realization of skill of the teacher on the basis of the ideas developed by the American scientists are shown. Among them, the approaches of researchers D. Rajonz and U. Bronfenbrenner who put at the forefront the teacher’s attitude towards students, their views, intellectual and emotional characteristics are allocated. An assessment of the teacher’s work according to N. Flanders’s system, in the form of the so-called “The Interaction Analysis”, through the mechanism of fixing such elements as: the verbal behavior of the teacher, events at the lesson and their sequence is also proposed. A system for assessing the professionalism of a teacher according to B. O. Smith and M. O. Meux is examined — through the study of the logic of teaching, using logical operations at the lesson. Samples of forms of external communication of the intellectual system with the learning environment are given. It is indicated that the conclusion of the found productive solutions can have the most acceptable and comfortable form both for students and for the teacher in the form of three approaches. The first shows that artificial intelligence in this area can be represented in the form of robotized being in the shape of a person; the second indicates that it is enough to confine oneself only to specially organized input-output systems for targeted transmission of effective methodological recommendations and instructions to both students and teachers; the third demonstrates that life will force one to come up with completely new hybrid forms of interaction between both sides in the form of interactive educational environments, to some extent resembling the educational spaces of virtual reality.

Download Full-text

PENERAPAN STATISTICAL QUALITY CONTROL (SQC) PADA PENGENDALIAN MUTU MINYAK TELON (STUDI KASUS DI PT.X)

AGROINTEK ◽

10.21107/agrointek.v13i1.4920 ◽

2019 ◽

Vol 13 (1) ◽

pp. 72

Author(s):

Andan Linggar Rucitra ◽

S Fadiah

Keyword(s):

Quality Control ◽

Raw Materials ◽

Control Process ◽

Statistical Quality Control ◽

Statistical Quality ◽

Quality Control Process ◽

Fishbone Diagram ◽

Potential Factor ◽

Measurement Of Success

Telon oil is one of the traditional medicine in the form of liquid preparations that serves to provide a sense of warmth to the wearer. PT.X is one of the companies that produce telon oil. To maintain the quality of telon oil from PT.X product, required overall quality control that is starting from the quality control of raw materials, quality control process to the quality control of the final product. The purpose of this research is to know the application of Statistical Quality Control (SQC) in controlling the quality of telon oil in PT X. Final product quality become one of the measurement of success of a process, so it needs a good quality control. SQC method used in this research is Pareto Diagram and Cause and Effect Diagram. Pareto diagram is a bar graph that show the problem based on the order of the number of occurrences of the most number of problems until the least happened. A causal diagram is often called a fishbone diagram, a tool for identifying potential causes of an effect or problem. The result of applying the method indicates that 80% defect is caused by unsuitable volume and on the incompatibility of Expired Date (ED) code. The damage is caused by several factors namely the method, labor, and machine while the most potential factor is the volume conformity to reduce the number of defect products.

Download Full-text

ПРИНЦИП ЦІЛІСНОЇ ОРГАНІЗАЦІЇ ІНТЕЛЕКТУАЛЬНИХ СИСТЕМ

RADIOELECTRONIC AND COMPUTER SYSTEMS ◽

10.32620/reks.2019.1.01 ◽

2019 ◽

pp. 4-16

Author(s):

Серій Ілліч Доценко

Keyword(s):

Control System ◽

Intelligent Systems ◽

Systems Approach ◽

Intelligent System ◽

Control Object ◽

The Other ◽

Methodological Basis ◽

Other Hand ◽

Intellectual System ◽

The Impact

The antinomy of the division of the intellectual system into parts has been formed, namely: the intellectual system is an organized whole, which is formed from at least two parts; for an intelligent system, as an organized whole, it is impossible to divide into a controlling part (control system) and a part of which is controlled. It has been established that the antinomy of dividing an intelligent system into parts is generated by the fact that, traditionally, the control system and the control object are considered separately. Therefore, it is considered the system, and not an organized whole. The role of the theory of functional systems in the development of cybernetic systems as intellectual systems is defined. This theory is the basis for the development of intelligent systems A. V. Chechkinim, K. A. Pupkov, and other authors. On the other hand, M. I. Meltzer develops the theory of dialogue systems for managing production enterprises, the basis of which is the mathematical theory of systems. It is shown that the functional representation architectures for these systems are similar. The similarity is determined on the basis of the task approach. On the one hand, there is a mutual non-recognition of the results of scientific schools of physical and technical cybernetics, and on the other hand, there is a similarity of the results obtained. It has been established that the methodological basis of the holistic approach is the task approach to the formation of a solving system, developed in the theory of dialogue management of production. To do this, it is necessary to include the “Activity to get the result” block in the solving system in order to turn it into an intellectual system. The methodological basis of a systems approach is a functional approach to the formation of systems. The main lesson of the classical cybernetics crisis, regarding the organizational principle for two parts of an organized whole, is to establish a dialectical unity of concepts in the form of a “general” concept and a “concrete” concept for problem-solving results in the control system and control object. Thus, a dialectically organized whole is formed. The article also analyzes the impact of the study of intelligent systems on the development of the methodological foundations of the Industry 4.0 platform. The next task that needs to be solved is the formation of the principle of functional self-organization, which is the basis for the formation of a mechanism for ensuring consistency between the results of solving problems in parts of a dialectically organized whole

Download Full-text

Linguistic Ontologies: Designing and Using in the Educational Intellectual Systems

Digital Platform Information Technologies in Sociocultural Sphere ◽

10.31866/2617-796x.4.1.2021.236950 ◽

2021 ◽

Vol 4 (1) ◽

pp. 97-111

Author(s):

Olha Tkachenko ◽

Kostiantyn Tkachenko ◽

Oleksandr Tkachenko

Keyword(s):

Computer Networks ◽

Intelligent Systems ◽

Semantic Analysis ◽

Intelligent System ◽

Subject Area ◽

Intellectual System ◽

Proposed Model ◽

Small Set ◽

Ontological Model ◽

Linguistic Ontology

The purpose of the article is to investigate and consider the general trends, problems and prospects of designing and using linguistic ontologies in educational intellectual systems. The research methodology consists in semantic analysis methods of the basic concepts in the considered subject area (linguistic ontologies in the educational intellectual systems). The article discusses approaches to the use of linguistic models in modern educational intelligent systems. The novelty of the research is the analysis of the linguistic ontologies use in the educational intellectual systems. Conclusions. A model of linguistic ontology for the domain (disciplines “Computer Networks” and “Modelling Systems”) is presented. This model is used in the development of an educational intellectual system that supports online learning in these disciplines. The proposed model describes a set of relations of linguistic ontology, specially selected to describe the analyzed domain. To ensure these properties, it was proposed to use a small set of relationships. The proposed linguistic ontological model is implemented in an educational intelligent system that supports such disciplines as “Computer Networks” and “Modelling Systems”.

Download Full-text

Pengendalian Kualitas Proses Pengemasan Gula Karung Menggunakan Metode Statistical Process Control (SPC)

INVENTORY: Industrial Vocational E-Journal On Agroindustry ◽

10.52759/inventory.v1i1.19 ◽

2020 ◽

Vol 1 (1) ◽

pp. 16

Author(s):

Rizaldi Sardani ◽

Devi Faradila ◽

Suci Oktri Viarani M ◽

Eko Supriadi

Keyword(s):

Quality Control ◽

Process Control ◽

Statistical Process Control ◽

Human Error ◽

Control Process ◽

Statistical Process ◽

Product Packaging ◽

Packaging Process ◽

Quality Control Process

Quality is a benchmark to determine the level of good and bad of a product. The level of quality of a product will affect customer satisfaction, hence, to produce high quality products, it is necessary for a company to have a quality control process. Quality control is a process that aims to maintain the quality of products and services that have been promised to consumers. In this study, quality control is carried out in the sugar packaging process. Where in the sugar packaging process found the resulting product has a poor quality, defective and not in accordance with specifications. This study uses the Statistical Process Control (SPC) method which aims to determine the causes of defective products with the intention that the packaging process can further minimize the level of product defects. The SPC method is a statistical analysis technique with seven statistical tools or seven tools. Based on the results of the study it can be seen that the cause of product damage / defects in the product packaging process is caused by three types of damage namely damage due to conveyor (38.17%), damage due to machine pinched (35.82%), and damage due to loose seams (26,00%) This type of damage can be caused by human error and other factors such as engine condition, engine cleanliness and the monitoring process. Proposed improvements recommended for the company are to provide training to employees, make clear work instructions, conduct periodic maintenance for the machines used, supervise all work areas, and carry out quality control for every acceptance of raw materials.

Download Full-text

Assessing the quality of intelligent systems with flexible programmable architecture

Ergodesign ◽

10.30987/2658-4026-2021-1-36-40 ◽

2021 ◽

Vol 2021 (1) ◽

pp. 36-40

Author(s):

Nataliya Sukhanova

Keyword(s):

Intelligent Systems ◽

Research Method ◽

System Analysis ◽

Intelligent System ◽

Assessment System ◽

System Quality ◽

System Reconfiguration ◽

Programmable Architecture ◽

Flexible Architecture

The purpose of this work is to assess the quality of functioning intelligent systems. Tasks to be solved: synthesis of an intelligent system based on unified modules, system quality assessment, system reconfiguration at a quality decrease. The research method is system analysis. A new flexible programmable architecture of intelligent systems has been developed. The flexible architecture of an intelligent system allows you to change the mutual relationships between subsystems, components and modules. The intelligent system is implemented on the basis of the unified modules that contain programmable switches. Switches are connected to the system inputs and outputs and are networked to transmit information.

Download Full-text

MULTI-AGENT INTELLIGENT SYSTEM FOR PREDICTION OF RISK OF CARDIOVASCULAR COMPLICATIONS WITH SYNERGY CHANNELS

СИСТЕМНЫЙ АНАЛИЗ И УПРАВЛЕНИЕ В БИОМЕДИЦИНСКИХ СИСТЕМАХ ◽

10.36622/vstu.2020.19.3.023 ◽

2020 ◽

pp. 177-188

Author(s):

Ольга Владимировна Шаталова ◽

Дмитрий Андреевич Медников ◽

Зейнаб Усама Протасова

Keyword(s):

Risk Factors ◽

Coronary Heart Disease ◽

Heart Disease ◽

Intelligent Systems ◽

Intelligent System ◽

Control Group ◽

Systems Research ◽

Multi Agent ◽

Experimental Group

Цель исследования заключается в повышении качества прогнозирования ишемической болезни сердца путем учета синергетического эффекта наличия сопутствующих заболеваний и факторов профессиональной среды посредством многоагентных интеллектуальных систем. Методы исследования. Для прогнозирования ишемической болезни сердца предложена базовая структура многоагентной интеллектуальной системы, содержащая «сильные» и «слабые» классификаторы. При этом «слабые» классификаторы разделены на четыре группы, первая из которых осуществляет анализ данных, полученных на основе традиционных факторов риска ишемической болезни сердца, вторая - на основе анализа электрокардиологических исследований, третья группа «слабых» классификаторов предназначена для диагностики сопутствующих заболеваний и синдромов по предикторам, используемых первыми двумя группами агентов, а четвертая - анализирует факторы риска окружающей среды. Мультиагентная система позволяет управлять процессом принятия решений посредством сочетания экспертных оценок, статистических данных и текущей информации. Результаты. Проведены экспериментальные исследования различных модификаций предложенной модели классификатора, заключающихся в последовательном исключении из агрегатора решений «слабых» классификаторов на различных иерархических уровнях. В ходе экспериментального оценивания и в результате математического моделирования было показано, что при использовании всех информативных признаков уверенность в правильном прогнозе по риску ишемической болезни сердца превышает величину 0,8. Показатели качества прогнозирования выше, чем у известной системы прогнозирования ишемической болезни сердца - превышает SCORE, в среднем, на 14%. Выводы. Анализ показателей качества классификации в экспериментальной группе обследуемых с различным показателем ишемического риска и в контрольной группе, составленной из машинистов электролокомотивов, для которых релевантными показателями ишемических рисков являются вибрационная болезнь и пребывание в электромагнитных полях, показал, что учет влияния этих факторов риска в контрольной группе повышает диагностическую эффективность на семь процентов по сравнению с экспериментальной группой, выступающей как фоновая The aim of the study is to improve the quality of predicting coronary heart disease by taking into account the synergistic effect of the presence of concomitant diseases and occupational factors through multi-agent intelligent systems. Research methods. To predict coronary heart disease, a basic structure of a multi-agent intelligent system is proposed, which contains “strong” and “weak” classifiers. At the same time, the "weak" classifiers are divided into four groups, the first of which analyzes data obtained on the basis of traditional risk factors for coronary heart disease, the second - based on the analysis of electrocardiological studies, the third group of "weak" classifiers is intended for the diagnosis of concomitant diseases and syndromes based on predictors used by the first two groups of agents, and the fourth analyzes environmental risk factors. The mobile system allows you to manage the decision-making process through a combination of expert assessments, statistical data and current information. Results. Experimental studies of various modifications of the proposed model of the classifier, consisting in the sequential exclusion from the aggregator of decisions of "weak" classifiers at various hierarchical levels, have been carried out. In the course of experimental evaluation and as a result of mathematical modeling, it was shown that when using all informative signs, the confidence in the correct forecast for the risk of coronary heart disease exceeds 0.8. The indicators of the quality of prediction are higher than those of the known predictive system for coronary heart disease - they exceed SCORE, on average, by 14%. Conclusions. Analysis of the classification quality indicators in the experimental group of subjects with different ischemic risk indicators and in the control group made up of electric locomotive drivers, for whom vibration sickness and exposure to electromagnetic fields are relevant indicators of ischemic risks, showed that taking into account the influence of these risk factors in the control group increases diagnostic efficiency by seven percent compared with the experimental group serving as background

Download Full-text

Research on quality traceability of cigarette by combining PDCA quality cycle with information strategy based on fuzzy classification

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189644 ◽

2021 ◽

pp. 1-10

Author(s):

Xiaodong Wang ◽

Xiaoming Wang ◽

Junfeng Wu ◽

Kai Zheng ◽

Yanhong Pang ◽

...

Keyword(s):

Quality Control ◽

Optimal Allocation ◽

Control Process ◽

Fuzzy Classification ◽

Adaptive Performance ◽

Rfid Technology ◽

Information Strategy ◽

Weak Part ◽

Process System

For the weak part of the quality traceability ability of cigarette logistics and products, this paper proposes a quality traceability method which integrates PDCA quality cycle with information strategy. This method firstly establishes the quality cycle process of cigarette logistics through PDCA quality cycle process, and then constructs IS-PDCA process based on information strategy (IS) to analyze the quality traceability process of cigarette products. The key links are determined according to the traceability process of cigarette logistics, and the traceability resource scheduling function is determined through the product. Then, according to the determined scheduling function and RFID technology, the optimal allocation strategy is constructed to complete the feature extraction and classification identification of cigarette quality labels. For assessing the quality of cigarette evaluation, classification based on fuzzy is proposed and artificial neural network are utilized for calculating the grade of cigarette. Finally, a process of cigarette quality traceability combining PDCA quality cycle and information strategy is formed, and the quality traceability results are constructed by means of QR code technology, so as to realize the process system of cigarette quality traceability and improve the quality control ability of cigarettes. The simulation results show that the cigarette quality traceability method constructed in this paper can obtain the cigarette quality control with good adaptive performance, and the control process shows a strong ability, which improves the feasibility and effectiveness of the cigarette quality traceability.

Download Full-text

ПРИНЦИП ФУНКЦІОНАЛЬНОЇ САМООРГАНІЗАЦІЇ ДІЯЛЬНОСТІ ІНТЕЛЕКТУАЛЬНИХ СИСТЕМ

RADIOELECTRONIC AND COMPUTER SYSTEMS ◽

10.32620/reks.2019.2.02 ◽

2019 ◽

pp. 18-28

Author(s):

Серій Ілліч Доценко

Keyword(s):

Control Systems ◽

Intelligent Systems ◽

Feedback Loop ◽

Intelligent System ◽

Functional System ◽

Self Organization ◽

Main Attention ◽

Functional Systems ◽

Intellectual System ◽

Smart Things

The five principles of self-organization of cybernetic systems are formed in classical cybernetics in the form of two hypotheses of N. Wiener and three hypotheses of W. R. Ashby. The main attention in the development of the theory of a functional system is given to its analysis as an integral unit, and the formation on its basis of the theories of intelligent systems. At the same time, no attention was left to the study of the principle of the mechanism for ensuring compliance with the result obtained and the project established for it. The conformity mechanism, which is formed as part of a functional system, is implemented on the basis of the principle of self-organization of the functional system’s activity at the stage of a future result project’s implementation through double sequential feedback through the “Action Results Acceptor” mechanism. Based on this principle, it is possible to formulate the law of self-organization of an intellectual system in the following form. For functional self-organization of an intelligent system based on a mechanism to ensure compliance with the result of an activity and its project, it is necessary to include an “Acceptor of an action result” in the feedback loop to match the result of an action, a project of a future result of an action, and a management team. The principles of self-organization formed in classical cybernetics turned out to be elements of the clarified single principle of the self-organization of functional systems activity. In this work, it was realized that the meaning of knowledge about the functional systems in the theory and the theory of dialogue control systems of two successive feedback loops and the mechanism of their combination in the “Acceptor of the results of action” was realized. It is thanks to these contours that the principle of functional self-organization of activities is implemented, the founders of classical cybernetics so stubbornly sought and from which they abandoned technical cybernetics. The task of the formation of the goal of the activity can be solved by knowing the mechanism of the formation of the project of a future result based on heuristic self-organization for physiological and cybernetic systems. The solution to this problem will ensure the formation of "smart things" in Industry 5.0. After all, “smart things” should be “intelligent”

Download Full-text

Statistics Analysis Measures Painting of Cooling Tower

International Journal of Corrosion ◽

10.1155/2013/389159 ◽

2013 ◽

Vol 2013 ◽

pp. 1-9 ◽

Cited By ~ 2

Author(s):

A. Zacharopoulou ◽

E. Zacharopoulou ◽

G. Batis

Keyword(s):

Quality Control ◽

Cooling Tower ◽

Electrical Power ◽

Control Process ◽

Cooling Towers ◽

Statistics Analysis ◽

Quality Control Process ◽

Analysis Of Failures ◽

Corrosive Environments

This study refers to the cooling tower of Megalopolis (construction 1975) and protection from corrosive environment. The maintenance of the cooling tower took place in 2008. The cooling tower was badly damaged from corrosion of reinforcement. The parabolic cooling towers (factory of electrical power) are a typical example of construction, which has a special aggressive environment. The protection of cooling towers is usually achieved through organic coatings. Because of the different environmental impacts on the internal and external side of the cooling tower, a different system of paint application is required. The present study refers to the damages caused by corrosion process. The corrosive environments, the application of this painting, the quality control process, the measures and statistics analysis, and the results were discussed in this study. In the process of quality control the following measurements were taken into consideration: (1) examination of the adhesion with the cross-cut test, (2) examination of the film thickness, and (3) controlling of the pull-off resistance for concrete substrates and paintings. Finally, this study refers to the correlations of measurements, analysis of failures in relation to the quality of repair, and rehabilitation of the cooling tower. Also this study made a first attempt to apply the specific corrosion inhibitors in such a large structure.

Download Full-text