On Trajectories in Moscow Subway

Along with the continuous growth of megacities, their transportation systems have become increasingly large and complex. The use of transportation systems by passengers directly reflects the changes that occur in the urban environment - for this reason, the study of urban mobility is an important task of digital urbanism. In particular, this paper is devoted to the study of spatial patterns (repetitive routes) in transportation systems with the case study on the Moscow subway. A brief review of data mining approaches to transportation systems data in general and to the task of spatial patterns extraction, in particular, is presented. A simple method for pattern extraction is proposed and applied to the Moscow subway data. As a result of the deployment of the proposed method the list of patterns was obtained - the graph of spatial patterns of the transport system under study was constructed based on it.

from our paper The Analysis of Trajectories in Moscow Subway

On robust machine learning

Our review for ongoing robust machine learning projects

Journal of Smart Cities and Society

You are welcome to submit your papers: Journal of Smart Cities and Society

How to build a hyper-local Internet

The paper describes the model of hyper-local Internet. This refers to a set of Internet resources that are, to one degree or another,relevant (useful) for users located in a certain limited area. For example,these resources discuss the functioning of a housing complex, an educational institution, contain information about local services, etc. The paper proposes both a model for organizing the markup of such areas based on the use of wireless technologies and a scheme for describing (presenting) resources. Collections of this kind can be dynamically created and maintained by any users. The result of the work is the presentation of a working model of spatial marking of the Internet, which allows you to combine existing resources together in the spatial community of their content. As a technological basis for such services, a new model of using Wi-Fi Direct is advocated.

On the New Architecture of Location-Based Services

This article discusses an alternative programming model for services that use location information. The paper proposes a new architecture for such services, which does not require users to share information about their location with service providers (services). This architecture is based on the author's proposed network spatial proximity model, where geocomputation is replaced by direct proximity measurement. This approach explicitly assumes that most services, using location information, describe (provide) some local services. Accordingly, geo-coordinates are used only for calculating proximity when searching (selecting) offers. It opens up the possibility of replacing geo-coordinates with direct measurement of proximity. Within the network proximity model, geo-computation is replaced by direct proximity definitions. And it is proposed to form this measurement of proximity based on the physical availability of signals of wireless network nodes, thus building cyber-physical systems.

from our paper

On One D2D Usage Model for 5G Networks

This article discusses a new model for using D2D interaction and proximity services (ProSe). This model allows telecommunications operators to offer their customers a micro-positioning system that will allow users (customers) of the service to offer information services (information services) to mobile subscribers who find themselves in a certain specified area. Applications of this kind of services include retail, office centers, campuses, and transport infrastructure systems. These sorts of systems will allow telecommunications operators to compete in providing these sorts of solutions with systems using wireless network approaches in the unlicensed spectrum. This work examines the software component of such a service. The proposed approach focuses on security. DOI: 10.23919/FRUCT50888.2021.9347632

International Conference on Sustainability and Climate Change

City railways – who are their passengers?

In this paper, the approaches to forecasting of passenger flows for new lines of the city railway are analyzed. The article analyzes the experience gained in designing of Moscow central diameters, in the modeling and analysis of their integration with the Moscow Metro and ground urban passenger transport. The main attention is paid to how modern telecommunication technologies make it possible to measure various movements of mobile subscribers, who are passengers, quite accurately. It is the development of telecommunication technologies that is changing the approaches to solving transport problems. What used to be seen as a goal for most transport tasks and was a forecasting goal has now become raw data and can be accurately measured. The article considers what the analysis of transport flows in a modern city now looks like.

Information System Cyber Threats

Information System Cyber Threats and Telecommunications Engineering Courses

The article discusses the issue of training of telecommunications engineers. The architecture of telecommunications solutions is changing very quickly. Obviously, training programmes must also change. Cybersecurity issues are one of the main drivers of change in telecommunications solutions and, therefore, training programmes. They have become the main issues in all processes related to digital transformation. At the same time, it is clear that the development of education in telecommunications clearly lags behind modern requirements. Such issues come to the fore in relation to the development of digital economy programmes. Cyber security issues for military telecommunications solutions are discussed separately.

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On Mobile Applications Based on Proximity

The article discusses mobile applications based on the concept of proximity. On the one hand, this can be considered as a special (private) class of geo-information systems, since we are talking about services (services) that are located in a certain geographically limited area. On the other hand, the abandonment of geo-computations and the use of special metrics for direct measurement of proximity opens up possibilities for completely new services that were not available in traditional models of geo-informatics. The paper discusses issues related to the measurement of proximity, new models of services and provides examples of specific implementations.

from our new paper

COVID-19 epidemic development

In this work, mathematical modelling of the dynamics of coronavirus COVID-19 is performed for China. The outbreak of coronavirus in China can be considered as public health emergency of international concern. The number of infected is increasing daily. Cases of COVID-19 virus have been detected in nearly 200 countries. Many sporting events, festivals, exhibitions and tournaments have been canceled or postponed. The pandemic has affected education systems around the world, leading to the massive closure of schools and universities. Viral incubation period of this virus is quite long, it ranges from 1 to 14 days. The danger of a new disease also lies in the fact that it is easily confused with a common cold or flu. Therefore, the spread of coronavirus COVID-19 is a serious threat for international health and economics. A mathematical description of the dynamics of virus allows to study the nature of the disease thoughtfully, to analyze statistical and model data, to make hypotheses concerning the future dynamics of coronavirus and to evaluate the effectiveness of the measures undertaken. For mathematical modelling of coronavirus COVID-19, the authors use a modified system of differential equations constructed according to the SIR compartmental model. The optimal values of the model parameters, that describe the statistical data precisely, were found. The analysis of the current situation of the COVID-19 coronavirus epidemic in China was made, which led to the efficiency mark of the existing measures to struggle against the virus.

from INJOIT

On Cyber-Physical systems

A new book with our chapter: Tools and Technologies for the Development of Cyber-Physical Systems

On Data Analysis of Software Repositories

This article discusses the analysis of software repositories using data analysis methods. A review is made of methods for analyzing programs based on information retrieved from the program code stored in code repositories. A review is made of methods for analyzing programs based on information retrieved from the program code stored in repositories. The article reviews the works that apply methods of classification, clustering and depth learning in software development. For example, for classifying and predicting errors, changing the properties of code in the process of its evolution, detecting design flaws and debts, assist for code refactoring. The main ultimate goal for all models is, of course, an automation of programming. In practice, we are talking about more simple tasks. This includes, for example, information retrieval (program code), error prediction, clone detection, link analysis, evolution analysis, etc. Firstly, we discuss recurrent neural networks and their deployment for the analysis of software repositories. In the simplest case, recurrent networks model a programming language as a sequence of characters. Also, the paper covers clustering and topic modeling. - from our new paper

On a New Approach to Neighbor Discovery as Data Sharing Tool

In this paper, we propose and discuss a new approach to data sharing among mobile subscribers. Our idea is to use the neighbor discovery phase in wireless networks. It simulates a peer-to-peer network that will work without any telecommunication infrastructure. A single mobile phone (smartphone) will be sufficient both for creating a node of such telecommunication network and for publishing (distributing) information. What is important here, the usage of the standard neighbor discovery mechanism does not assume the preloading some mobile applications. Our idea is to share user-defined information during the basic neighbor discovery phase. In this case, the parties involved in the process should be able to read the shared data directly from the process of discovering for neighboring nodes. Our proposal is the further development of ideas related to context-aware systems based on network proximity principles. - from our new paper

OD matrices in transport tasks

The paper considers the analysis of data in so-called origin-destination matrices. Also in relation to them often use the term matrix of correspondence. As practical examples, we are using data from Moscow metro and Moscow suburb railways. The correspondence matrix shows the number of trips between two points (stations) for a selected time interval. Theoretically, such data being calculated for the given time intervals describe all the characteristics of the passenger load. But practically, it depends on the existing models for traffic. Currently, such data used, mostly, just to calculate simple statistics. But such a simplified approach completely ignores the temporal characteristics of the traffic. In this paper, we discuss data mining models and approaches for origin-destination matrices analysis. Also, we describe the results of applying such approaches to analyzing data from the Moscow region.

from our new paper: On Processing of Correspondence Matrices in Transport Systems