Oppositional Division in the Information Field

Deshko, Igor; Tsvetkov, V. Ya.

doi:10.1007/978-3-030-77448-6_59

Cited by 3 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Image analysis creates figurative information units. An example of a figurative information unit for describing the external environment is a pixel (Gibson et al, 2020), which is a flat object that forms part of a photograph of a snapshot or raster image. An example of an information unit for modeling the external environment is the voxel (Deng et al, 2021), which is a volume element.…”

Section: Discussion and Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Symbolic and Figurative Information Units

2024

European Journal of Technology and Design

View full text Add to dashboard Cite

The article examines two important classes of information units. The multidimensionality of the use of different information units is shown. The article explores symbolic information and figurative information units. The similarities and differences in these groups are shown. The common feature is the systematization of information units into three types: symbols (elements), words and sentences. The divisibility criterion of the original information set determines the type of information unit. The difference between structural and semantic information units is shown. An onomasiological method for obtaining information units in the information field is described. A semasiological method for constructing models using information units in the information field is described. Information units are used in two directions: to detail the description of natural phenomena; for modeling or design. The difference between procedural and object information units is shown. An analysis of information units belonging to different areas is given: computer linguistics, computer language, complex system, information field. A settheoretic description of information units of different directions is given. There is structural similarity between symbolic information units. It lies in the fact that information units of different types are divided into symbols, words and sentences. The article proves that information units can be considered as the result of analysis. The typological similarity between symbolic information units in linguistics, programming and systems analysis is shown. Figurative information units are more informative compared to symbolic information units. The qualitative difference between the figurative information units pixel and voxel is shown.

show abstract

Section: Discussion and Resultsmentioning

confidence: 99%

“…Then I check the images within the cluster for dependence and independence. For this purpose, correlative (Tsvetkov, 2012) analysis and oppositional (Deshko, Tsvetkov, 2021) analysis are used.…”

Section: Fig 1 Pixel and Voxelmentioning

confidence: 99%

Symbolic and Figurative Information Units

2024

European Journal of Technology and Design

View full text Add to dashboard Cite

show abstract

“…Dichotomous variables are a generalized concept. Dichotomous variables are obtained by oppositional division (Deshko, Tsvetkov, 2021) (variables 1); with onomasiological division (variables 3) and with dichotomous division (variables 2).…”

Section: Introductionmentioning

confidence: 99%

Dichotomous Analysis

2024

European Journal of Technology and Design

View full text Add to dashboard Cite

The article explores little-studied dichotomous analysis. Dichotomous analysis is used in practice to solve many problems. However, to date there has been little research into the theory of dichotomous analysis as a special type of analysis. Dichotomous analysis includes three stages: decomposition of reality, composition of models and study of the resulting models. Decomposition is implemented using dichotomous division. Three types of dichotomous division are described, which produce three types of division results. Dichotomous analysis has different implementations. Dichotomous analysis is divided into: oppositional, aggregative, elemental. Elemental dichotomous analysis is performed using onomasiological division. Onomasiological division allows us to obtain information units or elements of the system under study. The article explores three types of dichotomous decomposition: decomposition to the selection of only parts or elements; decomposition to the selection of parts and constructive connections between them, decomposition to the selection of parts and causal connections between them. The content of the levels of dichotomous division is revealed. A formalization of the dichotomous composition is given. The relationships between the objects of decomposition in dichotomous analysis are described. A structural diagram of dichotomous decomposition is presented. Dichotomous decomposition does not apply to all objects, but only to those that have the property of separation. The dichotomy can be interpreted as a property and as a method. To describe multi-level decomposition, we use the apparatus of tensor algebra. In dichotomous decomposition and composition, paradigmatic and syntagmatic relations are used. The article describes the mechanism for searching for connections in dichotomous decomposition. The Bradford Hill model was used for this purpose. This model is transferred from the field of medicine to the field of information field.

show abstract

Dichotomous division logic

Deshko

Tsvetkov²

2023

Vii International Conference “Safety Problems of Civil Engineering Critical Infrastructures” (Spceci2021)

View full text Add to dashboard Cite

Oppositional Division in the Information Field

Cited by 3 publications

References 6 publications

Symbolic and Figurative Information Units

Symbolic and Figurative Information Units

Dichotomous Analysis

Dichotomous division logic

Contact Info

Product

Resources

About