Abstracts



Social and Economic Well-Being of the Modern Information Society

Elena Aleksandrovna Frolova



Candidate of Economic Sciences, Associate Professor, Department of Economics of the Institute of Humanities, Social Sciences and Technologies, Tomsk Polytechnic University

Leading Researcher, International Academic Laboratory of Technologies of Elderly People’s Well-Being Enhancement, Tomsk Polytechnic University

Marina Vyacheslavovna Ryzhkova

Doctor of Economics, Associate Professor, Department of Economics of the Institute of Humanities, Social Sciences and Technologies, Tomsk Polytechnic University

Elmira Ramisovna Kashapova

Graduate Student, Assistant, Department of Economics of the Institute of Humanities, Social Sciences and Technologies, Tomsk Polytechnic University


The article reveals characteristics of the essence and factors of social and economic well-being of a person in the information society. Information competence of elderly people has been examined based on Federal State Statistics Service (Rosstat) data and findings of the sociological study held in Tomsk Region. Interconnection of information competence of population and well-being level has been discovered. It has been proven that high level of information competence is directly related with high level of economic and social wellbeing of elderly people in this region.

Key words: well-being, elderly people, information society, sociological studies, Tomsk Region.


Innovation Resistance as a Threat to the Social Well-Being


Galina Anzelmovna Barysheva

Doctor of Economics, Professor, Head Economics Department, Tomsk National Research Polytechnic University

Artem Mikhailovich DIBROV

Assistant, Department of Economics, Tomsk National Research Polytechnic University


The article provides definition of socio-economic concept of “innovation resistance”. The authors consider specific features of innovation resistance affecting formation of information society and knowledge-driven economy, as well as possible ways to overcome it. Importance of overcoming innovation resistance as a driver of socio-economic well-being of the society is emphasized.

Key words: knowledge-driven economy, information society, social well-being, innovation resistance.


Modern Trends in Science and Technology of the Information Society as a Basis for the Future Technological Progress

Anna Aleksandrovna KARTASHOVA

Graduate Student, Tomsk National Research Polytechnic University

Tatiana Ivanovna SHIRKO

Candidate of Historical Sciences, Associate Professor, Department of Social Communications, Tomsk National Research Polytechnic University


The article considers basic trends in science and research area that determine perspectives of scientific knowledge progress in the context of analysis of modern social development strategies and shaping knowledge-driven society. On the basis of modern state and potential possibilities of integration of education, science and production analysis, the authors substantiate interdisciplinarity, polydisciplinarity and transdisciplinarity as research principles of the science of future.

Key words: science, technology, information society, knowledge-driven society, progress, future.


Algorithm for Generating Individual 3D Model of Human Face from the Bitmap Image of the Face and a set of Specific 3D Models

Stepan Gennadievich NEBABA

Graduate Student, Cybernetics Institute, Tomsk National Research Polytechnic University

Alena Aleksandrovna ZAKHAROVA

Doctor of Engineering, Director of the Cybernetics Institute, Tomsk National Research Polytechnic University

Sergey Yuryevich ANDREEV

Candidate of Technical Sciences, Leading Software Engineer, NPK “Tehnika Dela Ltd.”


The article considers existing methods of generating 3D face model. The authors offer algorithm of generating such model from a bitmap image and a set of specific 3D models, as well as algorithm of forming images of different face dimensions using calculated 3D model to create bio vector clusters. The authors have demonstrated results of use of the face images generation algorithms at different angles.

Key words: computer vision, face recognition, special face points, active models of forms, 3D face model, deformed face model, bio vector, nearest-neighbor method.


Information Technologies in Studying of Elderly People’s Well-Being

Galina Anzelmovna Barysheva

Doctor of Economics, Professor, Head of the International Academic Laboratory of Technologies of Elderly People’s Well-Being Enhancement, Tomsk National Research Polytechnic University

Ekaterina Aleksandrovna TARAN

Researcher, International Academic Laboratory of Technologies of Elderly People’s Well-Being Enhancement, Tomsk National Research Polytechnic University

Olga Evgenievna KOROVINA

Programmer, International Academic Laboratory of Technologies of Elderly People’s Well-Being Enhancement, Tomsk National Research Polytechnic University


Global demographic changes demonstrate a trend of an aging of population and, as a consequence, the importance of the elderly person as an economic and political actor.

The article considers one of the approaches to solving the multifaceted issue of elderly people’s well-being enhancement. The authors have analyzed the role of information technologies in reducing social isolations of an elderly person, especially after retirement. As an example, the authors describe LifeShare project implemented in Tomsk Polytechnic University and intended to ensure that elderly people have the feeling of being involved and needed.

Key words: information technologies, elderly person, well-being.


Model of Urban Transport System as a Tool to Forecast Parameters of Route Transport Traffic

Vadim Yurievich POGREBNOY

Assistant, Tomsk National Research Polytechnic University


The article is devoted to development of methods of sampling time and the formation of patterns of urban/street road and route traffic network. A digital map and graph theory methods are used to describe the route traffic network. The suggested model of the transport system allows projecting vehicles’ coordinates on the route network and distributing registered values of route transport in time and space.

Projected real-time coordinates and statistical values are distributed in space and time and allow forecasting future values of traffic parameters in view of the actual traffic situation. The developed forecast and the route network presented as digraph are used when building the shortest routes, developing timetables and traffic schedules for public transport, recognizing street and road network facilities by their text descriptions.

Key words: transport system, forecasting, route network, street and road network, navigation telemetry data, distribution in time and space, traffic parameter, graph.


Young People and Sustainable Development – Relations with the Future?

Jasmine GODEMANN

Professor of communication and consultation in the field of Agricultural and Environmental Sciences, Justus Liebig University Giessen, Germany

Translation and comments by E.V. Fell, N.A. Lukyanova

Nataliya Aleksandrovna LUKYANOVA

Doctor of Philosophy, Associate Professor, Deputy Director for Science, Institute of Humanities, Social Sciences and Technologies of the Tomsk Polytechnic University

Elena Vladimirovna FELL

Doctor of Philosophy, Associate Professor, Tomsk Polytechnic University


This article was first published in 2007, in the first issue of UNESCO today (Journal of the German Commission for UNESCO) [1]. It studies the role young people play in implementing the sustainable development trends. Observations and conclusions of the author are rather of theoretical character and deal with German young people. The publication offers comments to study of J. Godemann that helps get an idea of how problems related with the attitude of young people to sustainable development issues are solved in Great Britain.

Key words: future, Western European young people, sustainable development, environmental conditions, recycling.


© Информационное общество, 2015 вып. 5, с. 59-61.