Yulia Chernyshova

• MSc
• PhD Student at Federal Research Center "Computer Science and Control" of RAS

The concept of sustainable development implies a balanced development of society in environmental and economic aspects. The structure of information support for the process of vertical and horizontal inflow of knowledge and interconnections of management levels for the implementation of collaborative innovation of research institutes has been devel...

Sustainable development as an alternative to extensive growth is a global problem, the state of which determines the civilization progress. Scientific and methodological approaches to the analysis of sustainable development projects of the main subsystems of the socio-economic system (social, industrial, ecological) have been developed. Algorithms...

Ensuring sustainable development of scientific organizations is impossible without coordinating development strategies at all levels of management, taking into account the totality of factors and environmental conditions. The possibility of using probabilistic modeling tools in making management decisions to ensure sustainable development of scient...

Distributed ledger technologies can support a rapid transition to smart cities and provide a high level of urban quality. Despite the large number of approaches to the problem of synthesizing smart city management systems, there is still no universal solution. One of the most promising areas is the construction of neural network control systems. Th...

Digitalization leads to a change in the quality of the organizational systems functions performance. An otological analysis of the restructuring of the organizational systems management architecture in the context of digitalization is carried out. The classification features formation principles have been developed, a transformation system has been...

Modern decision support systems in ecology are aimed at resolving the contradiction between the inability of megacities ecosystems to meet the growing needs of society. Scientific and methodological approaches have been developed to determine the anthropogenic load of large urban agglomerations in the context of digitalization based on cellular aut...

Identity documents recognition is an important sub-field of document analysis, which deals with tasks of robust document detection, type identification, text fields recognition, as well as identity fraud prevention and document authenticity validation given photos, scans, or video frames of an identity document capture. Significant amount of resear...

For text line recognition, much attention is paid to augmentation of the training images. Yet the inner structure of the textual information in the images also affects the accuracy of the resulting model. In this paper, we propose an ANNbased method for textual data generation for printing in images with a background of a synthetic training sample....

Evaluation of the effectiveness of organizational systems refers to semi-structured decision-making tasks. In such tasks, it is difficult to give numerical estimates of the criteria, as well as to assess the dependencies between them. As a methodological basis, it is proposed to use the verbal analysis of decisions based on frames. Algorithms for i...

The formation of a smart city is a dynamic process that involves the implementation of systemic steps that transform the city into a comfortable environment for living. Smart cities are evolving on the basis of a flexible telecommunications architecture for IoT devices. Existing sustainability technologies require a large amount of computing power...

The paper discusses a new approach to the processing of verbal assessments, which express the opinions of experts on many criteria. The algorithm for verbal analysis of multi-feature objects expert assessments is proposed for identifying subgroups of experts with agreed opinions. It is proposed to use the multiplicity indices of multisets to calcul...

In this paper, we present a new dataset for identity documents (IDs) recognition called MIDV-LAIT. The main feature of the dataset is the textual fields in Perso-Arabic, Thai, and Indian scripts. Since open datasets with real IDs may not be published, we synthetically generated all the images and data. Even faces are generated and do not belong to...

Identity documents recognition is an important sub-field of document analysis, which deals with tasks of robust document detection, type identification, text fields recognition, as well as identity fraud prevention and document authenticity validation given photos, scans, or video frames of an identity document capture. Significant amount of resear...

In this paper, we introduce an “on the device” text line recognition framework that is designed for mobile or embedded systems. We consider per-character segmentation as a language-independent problem and individual character recognition as a language-dependent one. Thus, the proposed solution is based on two separate artificial neural networks (AN...

In this paper, we consider the problem of detecting counterfeit identity documents in images captured with smartphones. As the number of documents contain special fonts, we study the applicability of convolutional neural networks (CNNs) for detection of the conformance of the fonts used with the ones, corresponding to the government standards. Here...

Задача распознавания полученных с помощью сканирования изображений документов является классической, и в литературе описано множество методов ее решения. Распознавание машиночитаемых зон (machine-readable zone, MRZ) с камер мобильных устройств гораздо сложнее из-за слабо контролируемых условий съемки, особенностей и разнообразия камер, а также ввид...