M. G. Dorrer

Reshetnev Siberian State University of Science and Technology · Department of Information and Control Systems

The results of work on the analysis of business processes of a private commercial educational organization are presented. The authors proposed an original toolkit based on the PM4Py Python library (developed by the Fraunhofer Institute for Applied Information Technology) for assessing the effectiveness of an organization. The developed toolkit allo...

The paper sets the task of calculating the parameters of deformation of the heart muscle according to echocardiogram data under interference conditions, for example, in the study of children. Indicators of deformation (strain value) of the heart muscle were used by us to determine the presence and severity of dysfunction of the chambers of the hear...

The paper describes the solution of the problem of automatic fixation of the availability of free parking spaces in parking lots based on the video stream of the surveillance camera. The problem was solved using a combination of the YOLOv7 model for detecting objects of interest of the “car” type, trained on a specially created training sample and...

The work is devoted to solving the problem of assessing the comparative efficiency of several common architectures of convolutional neural networks for monitoring birds in a natural environment. The problem was solved by detecting birds recorded by video traps installed on feeders in several regions of Panama by different architectures. Then a comp...

The article discusses the solution to the problem of choosing the architecture of a convolutional neural network for use in the computer vision of a smart vending refrigerator. Comparative tests decided the architectures of convolutional neural networks YOLOv2, YOLOv3, YOLOv4, Mask R-CNN, and YOLACT ++ on a standard MS COCO dataset, and then on dat...

The article posed the problem of assessing the significance of the input parameters of the database of patients' conditions for predicting the complications of myocardial infarction. This problem was solved using artificial neural networks modeled in Python using Keras library functions. The neural network included fully connected Dense layers and...

In this work, the problem of automating the analysis of the kinematics of the human body has been solved. Data collection was carried out in the form of video recording. The classification of areas of the human body was performed using convolutional neural networks of three different architectures. The developed system solved the classification of...

Elena Vasilyevna Kasyanova, teacher Mikhail Georgiyevich Dorrer, candidate of technical sciences, lecturer Siberian state technological university, Krasnoyarsk Аннотация. В работе исследуется значение миссии телевидения среднего образовательного учреждения, а также основные вопросы стратегического планирования и разработки стратегических целей р...

The article is devoted to solving the problem of assessing the level of maturity of a higher education institution. The article considers both a methodology for assessing maturity for one period (year) and tracking the history of changes in maturity levels. The object of the study was the directorate of the Institute of Informatics and Telecommunic...

The article is devoted to assessing the level of maturity of an institution of secondary vocational education. It considers both a methodology for assessing maturity for one period (year) and tracking the history of changes in maturity levels. The object of the research was the Krasnoyarsk College of Radio Electronics and Information Technologies....

The paper describes the solution to the problem of developing a digital twin of a business process. The apparatus of GERT networks are used to predict the parameters. BPMS ELMA was used as a technological platform for the solution. The prototype allows you to forecast any additive indicator of the business process model - duration, cost, labor inte...

The main task of the proposed research is to organize automatic monitoring of equipment operation in an open pit of a gold mining enterprise. The solution to this problem allowed the management of the enterprise to reduce the risks of errors in accounting for the volume of work and improve the accuracy of planning the company’s economic indicators....

Поскольку управление жизненным циклом продукта (PLM) становится стандартной информационной системой в большинстве компаний, начинает возникать проблема миграции данных. Действительно, информация, содержащаяся в системе, часто должна быть доступна или даже передаваться в другую систему, чтобы использовать функциональные возможности нового программно...

Preprocessing of data for implementing an artificial intelligence system solving the problem of differential diagnosis of Parkinson's disease and essential tremor based on the data of nuclear magnetic resonance imaging is discussed. A database of 500 images of magnetic resonance imaging and positron emission tomography of patients with Parkinson's...

The article solves the problem of creating models for predicting the course and complications of cardiovascular diseases. Artificial neural networks based on the Keras library are used. The original dataset includes 1700 case histories. In addition, the dataset augmentation procedure was used. As a result, the overall accuracy exceeded 84%. Further...

In this work, the problem of analyzing the effectiveness of the university's supporting business process on the example of the process of preparing and issuing orders and instructions formalizing the organizational status of students at the university was solved. This business process is quite critical for the university because of its high complex...

The authors propose to use the k-means method for semantic image segmentation in the artificial vision of a smart refrigerator. The authors have developed a new two-tier architecture for the semantic segmentation system. In the proposed architecture, various sets of image contrast optimization settings are used to classify pixels belonging to fragm...

This paper proposes using the k-means method for the controlled adjustment of the training sample for semantic image segmentation in the artificial vision of a smart refrigerator. To solve this problem, a new two-stage architecture for computer vision is proposed. In the proposed architecture, various sets of settings for optimizing the contrast of...

The chapter solves the problem of numerically predicting the parameters of a business process model (using the cost example) without using multi-pass simulation models. To solve this problem, an apparatus of stochastic GERT networks is used. The edge of the GERT network is associated with the operation of the business process, and the node of the G...

Главной задачей предлагаемого исследование является организация автоматического мониторинга работы техники на открытом карьере золотодобывающего предприятия. Решение данной задачи позволило менеджменту предприятия снизить риски ошибок в учете объема работ и повысить точность планирования экономических показателей фирмы. Задача решается на основе си...

The article describes an approach to creating a high-precision model of a system of high-level indicators of an educational organization. The proposed solution is based on building a dynamic model of high-level organizational performance within the digital twin concept. BPMS ELMA was used as a technological platform for the solution. The predictive...

The main priority of this article is to develop a tool for numerical forecasting of the life cycle of information resources based on actual life cycle data in the form of event logs of the resource history. To solve this problem, we used the GERT network device. To build a GERT network describes the life cycle model of an information resource, we w...

The article is devoted to the use of intelligent systems in modeling and forecasting the dynamics of the human body. The selection and verification of a set of structural solutions, models and algorithms of the corresponding software solution by a computational experiment were performed. The proposed solution showed a high predictive ability when s...

The purpose of this article is to investigate customer clustering based on big data of the consumer loyalty system. The object of the research is the retail chains that are the clients of the Maxbonus system. Self-organizing Kohonen maps, implemented by the selforgmap function of the Deep Learning Toolbox module of the Matlab system, were used as a...

The article deals with the computer vision system of the smart refrigerator "Robimarket". The equipment of the working area of the refrigerator, the selection of a set of chambers, the collection of a training sample for the computer vision system are described. The choice of the artificial intelligence architecture of the computer vision system wa...

In this paper, we propose a solution to the problem of organizational management based on high-precision simulation models designed for numerical forecasting of the parameters of business process models - duration, labor intensity and resource intensity, cost. The solution is implemented as a prototype twin of the business process system model. To...

This article discusses the issue of assessing the quality of predicting the dynamics of the human body in conditions of cardiovascular disease using intelligent software systems. To improve the forecast accuracy, the voting method of 3 competing systems was used, as well as the elimination of sparse data columns. Assessment of the quality of the pr...

The article solves the problem of assessing the applicability of the Process Mining methodology and ProM software to identify failures and deviations in the life cycle of information resources. The object of the research was the database of the Seattle Public Library, hosted on the website Kaggle.com, records were analyzed for the period from 2005...

This article focuses on solving the problem of increasing the efficiency of the process of forming a training set in computer vision training's issue system based on an artificial neural network. The solution to this problem is implemented by developing software for searching for contours using the canny method in combination with the method of sea...

The article proposes an approach to predicting the numerical parameters of the life cycle of information resources. The main task of this work is to develop a tool for numerical forecasting of the life cycle of information resources based on actual life cycle data in the form of resource history event logs. The forecast is carried out using the app...

The article proposes a solution for the implementation of the artificial vision of an agricultural robot (farmbot). The Yolo3 system in the Darknet topology was chosen as the software platform. Recognition of objects (strawberries) and their discrimination with other objects in the farmbot workspace is provided by a convolutional network of deep le...

The article solves the problem of assessing the applicability of the Process Mining methodology and ProM software for the analysis of life cycle models of information resources. The object of the study was the Seattle Public Library database, hosted on Kaggle.com. In the process of research, the model of the life cycle of an information resource wa...

The purpose of this work is to evaluate the applicability of the Process Mining methodology for the analysis of life cycle models of information resources. ProM software was used with the Inductive visual miner plugin. The source data was a database of the Seattle Public library hosted on the site Kaggle.com. Even from a fragment of the transaction...

The main goal of the article is to support the process of ensuring the effectiveness of organization management. For this, the task of self-assessment according to organizational maturity levels is being solved. The methodological basis of the study is the ISO 9004-2010 standard, the technical implementation of the processes of self-assessment of o...

The purpose of this work is to propose a mathematical model of the optimal process for managing the organization›s maturity levels in the presence of interference in the source data. Changes in the organizational maturity of a company are described in terms of linear dynamic management systems. The proposed methodology for optimal management of the...

The main goal of this article is to improve the methods for analyzing and forecasting indicators of business processes in social systems. The task was to minimize the factor of subjective perception of business processes by analysts and reduce the complexity of building business process models. The second task of the article is to use for the predi...

This article discusses the approach to determining the maturity level of the organization of secondary vocational education on the example of the Krasnoyarsk College of Radio Electronics and Information Technology. The study is based on a survey of teachers and college staff for different periods of time. The research structure is based on the Voya...

A database for Myocardial Infarction complication prediction, collected in 1992-1995 in Krasnoyarsk, Siberia, with associated description. The data are available online: https://doi.org/10.25392/leicester.data.12045261 The following complications are considered: • Atrial fibrillation (FIBR_PREDS): • Supraventricular tachycardia (PREDS_TAH): • Ven...

This article describes testing the operation of the YOLO2 neural network on single-board platforms and processors. The task was to find a computing platform on which the neural network could perform the processing of the images presented to it as quickly as possible. In this case, interference in the operation of the remaining modules of the system...

The article proposes a mathematical model of the optimal process for managing levels of organization maturity in the presence of interference in the source data. This work is a part of the solution to the more general problem of developing a system for managing the maturity level of business processes in an organization. Changes in organizational m...

The main objective of this work is to develop a method for the formation of agent simulation models based on the actual business processes implementation data. To solve this problem, we used the educational process management system Moodle, ProM process mining system, and AnyLogic simulation system. The initial data of the educational process obtai...

This article is devoted to the preparation of the YOLO2 convolutional neural network for use in the robot artificial intelligence tracking module in air hockey competitions in the human-robot or robot-robot category. Such developments are unique in the sphere of artificial intelligence and robotic technologies. The task was to collect and prepare e...

The main purpose of this work is to propose an approach to the analysis of the life cycle of an information resource based on the analysis of real historical data about the resource. To achieve it, several problems are solved – collection of baseline historical data, in the format of event log identify important parameters and patterns in the life...

In this article the problem of goods clustering according to the probability of their joint presence in the transactions of the sale point was considered. The problem was solved by applying the algorithms for the formation of association rules based on real retail store transactions. The applicability of the algorithms of this class was assessed, t...

The problem of increasing the efficiency of maintenance and repair of computer equipment is solved by applying the method of probability theory in expert systems. An expert system is a set of programs that accumulates the knowledge of specialists in a specific subject area and replicates this empirical experience for consultations of less qualified...

The work is devoted to the use of artificial neural networks to solve the problem of recognition and isolation of objects (cells) in digital micrographs used in the practice of microbiological research. This task is relevant due to a combination of two factors: a large amount of data (hundreds and thousands of photographs, hundreds of objects on ea...

The article proposes a solution to the problem of building optimal management of the maturity level of the company’s business processes. The level of maturity is described as a linear dynamic control system. This work is part of the solution to the problem of developing a system for managing the level of maturity of an enterprise’s business process...

The problem of increasing the efficiency of maintenance and repair is being solved by applying flexible strategies using expert systems implemented in mobile applications. An expert system is a set of programs that accumulates knowledge of specialists in a particular domain and replicates this empirical experience for consultations of less skilled...

The article describes the solution of the problem of constructing a mathematical model that describes the behavior of indicators of the level of maturity of a company's business processes as a dynamic management system. This work was carried out in the course of solving the problem of developing a system for managing the level of maturity of the en...

The article describes a method of finding business process invariants basing on a given model in eEPC notation. The method uses an original translation process to build a Petri net corresponding to the source eEPC model, to find its invariants and to translate them back into the eEPC notation. An optimized method of finding Petri net invariants is...

An algorithm is proposed that makes it possible to uniquely transform an event-driven model of business processes in the ARIS EPC format into a monochrome Petri net. The resulting matrix representation of a Petri net makes it possible to study the topology of business processes and find cycles and dead ends. In addition, the matrix representation o...

This work describes neural software applied in medicine and physiology to: investigate and diagnose immune deficiencies; diagnose and study allergic and pseudoallergic reactions; forecast emergence or aggravation of stagnant cardiac insufficiency in patients with cardiac rhythm disorders; forecast development of cardiac arrhythmia after myocardial...

This work describes neural software applied in medicine and physiology to: investigate and diagnose immune deficiencies; diagnose and study allergic and pseudoallergic reactions; forecast emergence or aggravation of stagnant cardiac insufficiency in patients with cardiac rhythm disorders; forecast development of cardiac arrhythmia after myocardial...

The purpose of this work is to employ trainable neural networks to start solving the problem facing the designers and users of computer psychological tests: cultural, national and social adaptation of tests. Mathematical construction of up-to-date objective diagnostic tests is based on a comparison of the revealed condition with the norm standard....

This work describes neural software applied in medicine and physiology to: - investigate and diagnose immune deficiencies; diagnose and study allergic and pseudoallergic reactions; forecast emergence or aggravation of stagnant cardiac insufficiency in patients with cardiac rhythm disorders; forecast development of cardiac arrhythmia after myocardia...