Scientific Journal of KubSAU

In forensics there is an urgent need to determine the type of rifle (automatic, rifle, large caliber pistol) depending on its used ammunition found at the scene of the use of weapons. We offer a solution to this problem with the use of new innovative method of artificial intelligence: automated system-cognitive analysis (ASC-analysis) and its program toolkitwhich is a universal cognitive analytical system called "Eidos". In the "Eidos" system we have implemented the software interface that allows posting of images and identifying their outer contours. By multivariable typing, the system creates a systemic-cognitive model, the use of which, if the model is sufficiently accurate, may be helpful in solving problems of system identification, prediction, classification, decision support and research of the modeled object by studying its model. For this task the following stages: 1) input images of ammunitions into the "Eidos" system and creation of their mathematical models; 2) the synthesis and verification of the models of generalized images of ammunition for types of weapons based on the contour images of specific munitions (multiparameter typing); 3) improving the quality of the model by separating classes for typical and atypical parts; 4) quantification of the similarities-the differences between specific types of munitions with generic images of different types of ammunition of the weapon (system identification); 5) quantification of the similarity-differences between types of ammunition, i.e. cluster-constructive analysis of generalized images of ammunition. A numerical example is given. We also possess a successful experience of solving similar problems in other subject areas

In criminology, there are actual problems of determining the type (machine gun, rifle, large caliber, pistol) and a particular model of small rifle for its ammunition, in particular, discovered in the use of weapons. The article proposes a solution to this problem with the use of a new innovative method of artificial intelligence: automated system-cognitive analysis (ASCanalysis) and its programmatic toolkit – a universal cognitive analytical system called "Eidos". In the system of "Eidos", we have implemented a software interface that provides input to the system images, and the identification of their external contours on the basis of luminance and color contrast. Typing by multiparameter contour images of specific ammunition, we create and verify the system-cognitive model, with the use of which (if the model is sufficiently reliable), we can solve problems of system identification, classification, study of the simulated object by studying its model and others. For these tasks we perform the following steps: 1) enter the images of ammunitions into the system of "Eidos" and create mathematical models of their contours; 2) synthesis and verification of models of the generalized images of ammunition for types of weapons based on the contour images of specific munitions (multivariate typology); 3) quantification of the similarities-differences of the specific ammunition with generalized images of ammunition of various types and models of small rifle (system identification); 4) quantification of the similarities-differences of the types of munitions, i.e. cluster-constructive analysis

The article discusses the application of automated system-cognitive analysis (ASC-analysis), its mathematical model which is system theory of information and its software tool, which is intellectual system called "Eidos" for solving problems related to identification of types and models of aircraft by their silhouettes on the ground, to be more precise, their external contours: 1) digitization of scanned images of aircraft and creation of their mathematical models; 2) formation of mathematical models of specific aircraft with the use of the information theory; 3) modeling of the generalized images of various aircraft types and models and their graphic visualization; 4) comparing an image of a particular plane with generalized images of various aircraft types and models, and quantifying the degree of similarities and differences between them, i.e., the identification of the type and model of airplane by its silhouette (contour) on the ground; 5) quantification of the similarities and differences of the generalized images of the planes with each other, i.e., clusterconstructive analysis of generalized images of various aircraft types and models. The article gives a new approach to digitizing images of aircraft, based on the use of the polar coordinate system, the center of gravity of the image and its external contour. Before digitizing images, we may use their transformation, standardizing the position of the images, their sizes (resolution, distance) and the angle of rotation (angle) in three dimensions. Therefore, the results of digitization and ASC-analysis of the images can be invariant (independent) relative to their position, dimensions and turns. The shape of the contour of a particular aircraft is considered as a noise information on the type and model of aircraft, including information about the true shape of the aircraft type and its model (clean signal) and noise, which distort the real shape, due to noise influences, both of the means of countering detection and identification, and environment. Software tool of ASC-analysis, i.e. Eidos intellectual system, provides identification of the type and the model of airplane by its silhouette, as it was shown in a simplified numerical example

The creation of artificial intelligence systems is one of important and perspective directions of development of modern information technology. Since there are many alternatives of mathematical models of systems of artificial intelligence, there is a need to assess the quality of these models, which requires their comparison. To achieve this goal we require free access to the source data and methodology, which allows to convert these data into a form needed for processing in artificial intelligence. A good choice for these purposes is a database of test problems for systems of artificial intelligence of repository of UCI. In this work we used the database "Iris Data Set" from the bank's original task of artificial intelligence – UCI repository, which solved the problem of formalization of the subject area (development of classification and descriptive dials and graduations and the encoding of the source data, resulting training sample, essentially representing a normalized source data), synthesis and verification statistical and system-cognitive models of the subject area, identify colors with classes, which serve varieties of Iris, as well as studies of the subject area by studying its model. To solve these problems we used the automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – intellectual system called "Eidos"

In the article, the embodying of operation of integrating of systems, being generalization of operation of integrating of sets within the limits of system generalization of the theory of sets is considered. This operation is similar to bulean integrating operation of the classical theory of sets. However, unlike the classical theory of sets, the concrete algorithm of integrating of systems in its system generalization is offered and the quantitative standard system effect (synergetic, emergetic) arising with the application of integrating of systems is proved. For this standard, the unique name is offered: «The generalized coefficient of emerge by R.Hartley» because of likeness of its mathematical form to the local coefficient of emerge by Hartley, reflecting a degree of difference of system from the set of its base elements. The reference to the author's program realizing offered algorithm and providing numerical modeling of integrating of systems at various restrictions on complexity of systems and at various power of generating set is given, some effects of numerical modeling are given

The article describes the application of the Eidos intellectual technologies for the implementation of already developed psychological, pedagogical and profession oriented tests and super tests without programming in the form, convenient for mass testing, for the analysis of the results and the formulation of individual rec-ommendations

In the article the approach to increase of adequacy of semantic information models of management by knowledge after passage by modeled object of a point of bifurcation (change of ergodity period), realized in universal cognitive analytical Eidos system is examined

Results of computational experiments on increasing of semantic information models adequacy with different sets of astrosigns by means of separation of generalized social categories (astrosociotypes) on typical and atypical parts are casted in the article.

The idea of systemic generalization of mathematics was substantiated by the author and the first step on its realization was done: variant of systemic information theory was proposed. There was done an attempt to do the second step in the same way: one of the possible approaches to the systemic generalization of mathematic understanding of set on the conceptual level, namely the approach, based on systemic information theory. It is supposed that this approach can become the basic one for systemic generalization of set theory and creation of mathematic theory of systems.

The idea of systemic generalization of mathematics was substantiated by the author and the first step on its realization was done: variant of systemic information theory was proposed. There was done an attempt to do the second step in the same way: one of the possible approaches to the systemic generalization of mathematic understanding of set on the conceptual level, namely the approach, based on systemic information theory. It is supposed that this approach can become the basic one for systemic generalization of set theory and creation of mathematic theory of systems.