scholarly journals Intellectual analysis of spectral images of plants

2020 ◽  
Vol 17 ◽  
pp. 00142
Author(s):  
Eugeny V. Lutsenko ◽  
Valery E. Korzhakov ◽  
Valery I. Loiko
Keyword(s):  
Intelligent System ◽  
Real Data ◽  
Subject Area ◽  
Leaf Damage ◽  
Automated System ◽  
Intellectual System ◽  
Reliable Model ◽  
Original Presentation ◽  
The Subject

Traditionally, the assessment of plants for different diseases is carried out by visual determination of leaf damage with the help of an expert – phytopathologist. This method has a number of disadvantages that are proposed to be overcome with the use of the automated system-cognitive analysis (ASC-analysis) of the spectra of images plants in the intelligent system called “Eidos”. For this purpose, we solve the following tasks: Task 1: formulating the idea and concept of the solution of the problem; Task 2: justifying the choice of the method and the tool to solve problems; Task 3: applying the selected method and the tool to solve the problems, i.e. to perform the following steps: – cognitive structuring of the subject area; – formalization of the subject area; – synthesis and verification of models; – improving the quality of the model and the choice of the most reliable models – solution in the most reliable model of diagnostic tasks (classification, recognition, identification), decision support and research of the modeled subject area by studying its model. Task 4: describing the effectiveness of the proposed solution. Task 5: examining the limitations and disadvantages of the proposed solutions for the problems and prospects of its development by overcoming those limitations and drawbacks. We also provide a detailed numerical example intellectual analysis of spectral images of plants with real data by applying the ASC-analysis and “Eidos” intellectual system. However, students and scientists still do not notice that open, scalable, interactive, intelligent online environment for learning and researches already exists and operates, based on automated systemcognitive analysis (ASC-analysis) and its programmatic Toolkit – intellectual “Eidos” and the author’s website. This article is an original presentation and it is designed to familiarize potential users with the capabilities of this environment.

The Role of Fundamental Knowledge in Solving Problems of the Subject Area “Technology”(From the Point of View of the Project of the Concept of Teaching)

2018 ◽  
Vol 6 (3) ◽  
pp. 9-15
Author(s):  
С. Кутепов ◽  
S. Kutepov
Keyword(s):  
Subject Area ◽  
Economic Education ◽  
Point Of View ◽  
Technological Education ◽  
Hand Tools ◽  
Professional Self ◽  
The Subject ◽  
And Behavior

long-awaited Concept of teaching the subject area “Technology”, the project of which is analyzed in the article,defi nes the problems facing the teacher. The author illustrates these problems and the characterized directions of teaching the subject area “Technology” with the possible fragments of the content of technological education. The author shows which information should be used at the stage of the development of schoolchildren’s basic application skills of the main types of hand tools (electrical including) as a resource for solving technological problems which are the priority results of the mastering the subject area “Technology”. The article suggests the knowledge necessary for ecological education of schoolchildren, formation of their world outlook, provided that the interdisciplinary relations are established. The problems of the environmentally friendly production organically associated with the problems of modern economy allow us to solve the problem of economic education. The article proves that the subject of “Technology” is supposed to create certain patterns of thinking and behavior of schoolchildren, introduce them into the world of professions, and ensure professional self-determination of schoolchildren.

scholarly journals Manoeuvring the Complexities of Field Research in Africa: Experiences from Voter Turnout Research in Ghana

2020 ◽  
pp. 213-219
Author(s):  
Fortune Agbele ◽  
Alexander Stroh
Keyword(s):  
Political Science ◽  
Voter Turnout ◽  
Field Research ◽  
Subject Area ◽  
Science Field ◽  
Entry Strategies ◽  
Professional Network ◽  
Research Designs ◽  
The Subject

Field research enables interaction between a researcher and research participants, offering an opportunity for the discovery of primary empirical data. As exciting as field research can be, for a novice researcher or research in unfamiliar terrain, community field research can also be daunting. These challenges may include, but are not limited to, the determination of community entry strategies, identification of potential respondents, as well as dealing with the non-availability of respondents. Based on field experiences, this research note offers practical suggestions on how to deal with these challenges within the realm of political science fieldwork. The experiences from a Voter Turnout research in Ghana shared in this note are of particular relevance to field research designs in the subject area of voter participation, focusing on voters as informants rather than experts or members of a professional network. Keywords: Field Research; Political Science; Field Strategies; Voter Turnout.

scholarly journals Linguistic Ontologies: Designing and Using in the Educational Intellectual Systems

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”.

scholarly journals Modeling the subject areas of psychological research on pain

2020 ◽  
pp. 579-595
Author(s):  
Alexey I. Chuloshnikov ◽  
Keyword(s):  
Subjective Experience ◽  
Graphical Model ◽  
Selection Process ◽  
Psychological Research ◽  
Subject Area ◽  
Subject Areas ◽  
The Subject ◽  
Objective Basis ◽  
The Individual

The article is devoted to the description and justification of the author’s model representing possible demarcation of subject areas in psychological and non-psychological studies of the phenomenon of pain. In the first part of the paper, the deficiencies of existing approaches to the study and explanation of pain are analyzed, and the need for rethinking the existing biopsychosocial approach is indicated, which can be done based on the understanding of pain as a phenomenon of mental reflection. As prerequisites for solving and concretizing these problems, we briefly analyze the historically established non-psychological areas of the pain study (physiological, algometric, and humanities-based), within which we identify the main issues and statements about the nature of pain (particularly as a phenomenon of the subjective world). These issues are considered in a more specific form on the basis of methodological difficulties in psychological research on pain. The main questions are formulated, including the following: the relation of the objective basis of pain to the subjective experience; determination of the subject area of psychological research into pain; determination of the categorical status of pain and its relation to other phenomena of the psyche, to the categories of «subject», «personality». In the second part of the article, based on the indicated theoretical and empirical assumptions, a graphical model illustrating potential subject areas of psychological and non-psychological research is derived. The model reflects the place of various pain phenomena within a single selection process, and the exclusion of the information necessary to reflect and regulate the interaction of an organism and a destructive agent at the physiological, mental (direct behavioral regulation), and sociopsychological levels (socially-mediated regulation). In accordance with the levels of ‘pain’ regulation and reflection, we formulate the following: hypothetical scope of the pain concept (the narrow and broad definition); subject areas and their specifics; possible determinants that represent their phenomenology; possible hierarchical relationships of pain reflection levels. The paper also provides an outline of a hypothetical mechanism that connects the process of selecting pain experiences (the content of the subjective picture of pain) to the individual personality characteristics of the subject experiencing pain.

scholarly journals Determination of the baseline value of the target of the national project «Science» related to the publication activity of the Russian Federation in priority areas

2019 ◽  
Vol 5 (2) ◽  
pp. 101-113 ◽  
Author(s):  
V. I. Starodubov ◽  
F. A. Kurakov
Keyword(s):  
Russian Federation ◽  
Web Of Science ◽  
Technological Development ◽  
Subject Area ◽  
Priority Areas ◽  
The Subject ◽  
The Russian Federation ◽  
Number Of Publications ◽  
Scientific And Technological Development

One of the seven target indicators of the National Science Project (NSP) is “The place of the Russian Federation by share in the total number of articles in the areas defined by the priorities of scientific and technological development in publications indexed in international databases”. The purpose of this study was to assess the basic value of this indicator for disciplines related to priority areas, according to the Strategy of scientific and technological development of the Russian Federation. The volumes of publication flows of the Russian Federation in 112 disciplines are compared with a similar indicator of countries ranked fifth in the number of publications in the subject area under consideration, indexed in the Web of Science Core Collection (WoS CC). A 5–10 fold lag of the Russian Federation was recorded for the most part of the priority areas identified by the passport of the NSP.

Methodological approach to identifying software bugs in special software for systems of critical applications

2021 ◽  
Author(s):  
A.G. Andreev ◽  
G.V. Kazakov ◽  
V.V. Koryanov
Keyword(s):  
Methodological Approach ◽  
Subject Area ◽  
Automated System ◽  
Data Preparation ◽  
Malicious Software ◽  
Software Bugs ◽  
Significant Damage ◽  
Special Software ◽  
The Subject

The paper focuses on a methodological approach to identifying software in special software for systems of critical applications. The approach relies on the analysis of the subject area associated with the functioning of such systems. The term ‘software bugs’ is local and depends on the system into which they are embedded. In this regard, the methodological approach to identifying software bugs is illustrated by an automated system for preparing data for aircraft flights. By software bugs, we mean malicious software that can affect the algorithms for the functioning of the system, disrupting the normal mode of its operation and causing significant damage to the goals of the system. To find where software bugs are likely to be embedded, we specified actions which consist in understanding the features of assessing the quality of each of the main elements of the system and the essence of software bugs, with account for the features of the automated data preparation system; describing the system and its specifics; determining the most likely place for embedding software bugs and conditions for their initialization.

scholarly journals Architecture of Intellectual System for Research of Space Weather Parameters

2021 ◽  
Vol 10 ◽  
pp. 58-66
Author(s):  
Danylo Ivantyshyn ◽  
◽  
Yevhen Burov ◽  
Vasyl Lytvyn ◽  
◽  
...  
Keyword(s):  
Space Weather ◽  
Subject Area ◽  
Practical Significance ◽  
Static Structure ◽  
Client Server ◽  
Intellectual System ◽  
Level Model ◽  
The Subject ◽  
Weather Parameters ◽  
Two Level Model

Has been carried out analysis of the subject area and main functions of the intellectual system for research of space weather parameters are identified. The model of static structure of intellectual system is developed as well as its dynamic aspects are modeled. Also is constructed an architecture of intellectual system for research of space weather parameters on the basis of “client-server” two-level model. The scientific novelty of the obtained results stands on developed model of the intellectual system for research of space weather parameters. The practical significance of the intellectual system lies in its capabilities: automated collection and processing of data on the manifestations of solar activity; storing information in the database; data analysis and establishing links between helio- and geo-activity indicators, as well as forecasting geophysical disturbances caused by cosmic factors.

scholarly journals Integration of Descriptions of Static Structures at Automation of Design Tasks

2021 ◽  
Vol 346 ◽  
pp. 03065
Author(s):  
Olga Novoselova ◽  
Anton Sidorov
Keyword(s):  
Conceptual Model ◽  
Conceptual Modeling ◽  
Conceptual Structure ◽  
Subject Area ◽  
Automated System ◽  
Dynamic Component ◽  
Intellectual Labor ◽  
The Matrix ◽  
The Subject ◽  
Dynamic Components

This paper investigates the process of integrating descriptions of static structures in the form of charts and specifications at the stage of conceptual modeling of automated systems, that are developed to solve design tasks. In the process of creating an automated system based on the methodology for automating intellectual labor (MAIL), models of design tasks are formed: initial, conceptual, infological and datalogical. The conceptual model describes the system of concepts of the subject area. The description of conceptual model representation includes specifications and charts: for a static component - F1 and F2, the chart of conceptual structure; for a dynamic component - F3 and F4, the chart depicting a system of subject dependences; F6 and the matrix chart showing the model as a whole including static and dynamic components coordination. The features of constructing diagrams and forming specifications in the formation of a conceptual structure are studied, on the basis of which the method and technique to integrate descriptions of static components for the system of concepts of the subject area are determined. The article is given the integration of descriptions in the form of diagrams and specifications for the static components of conceptual model representations.

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

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.

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