Book
2018 IEEE 20th Conference on Business Informatics (CBI)
Companies are increasingly paying close attention to the IP portfolio, which is a key competitive advantage, so patents and patent applications, as well as analysis and identification of future trends, become one of the important and strategic components of a business strategy. We argue that the problems of identifying and predicting trends or entities, as well as the search for technical features, can be solved with the help of easily accessible Big Data technologies, machine learning and predictive analytics, thereby offering an effective plan for development and progress. The purpose of this study is twofold, the first is an identification of technological trends, the second is an identification of application areas and/or that are most promising in terms of technology development and investment. The research was based on methods of clustering, processing of large text files and search queries in patent databases. The suggested approach is considered on the basis of experimental data in the field of moving connected UAVs and passive acoustic ecology control.
The present paper considers the questions of modeling and analysis of dynamical features of social networks taking into account evolutionary changes. A two level approach to monitoring of social network dynamics and evolution is described, including the functionality of both levels. Possible practical interpretations and correlations with the customer-centric concept are mentioned.
Any marketing activity requires ways to assess its positive or negative impact. Such a measurement is not always easy to implement, especially when studying the behavior of consumers in offline space, for example, in a retail shop. In this paper, we present a case study of the behavior of consumers in the shop from the FMCG area. The procedure for collecting and analyzing data is described, and proposals for increasing the Cross Penetration Index from one store zone to another are formed and tested. Special user behavior data collection system called "Locastor" was used to collect MAC-addresses of smartphones of the visitors for further analysis.
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Discusses MTTS society activities in Russia.
The IEEE Russia North West Section, IEEE Russia Section, Saint Petersburg Electrotechnical University “LETI”, National Research University of Electronic Technology "MIET", and Glyndwr University, UK are pleased to present the Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (2019 ElConRus) held in St. Petersburg and Moscow, Russia on January 28 - 30, 2019. This conference is proudly hosted by two universities - Saint Petersburg Electrotechnical University “LETI” and the National Research University of Electronic Technology "MIET". The Organising Committee believes and trusts that we have been true to the spirit of collegiality that members of IEEE value whilst also maintaining a high standard as we reviewed papers, provided feedback and now present a strong body of published work in this collection of proceedings. The themes for this year's conference were chosen as a means of bringing together the many orientations of electrical and electronic engineering research and teaching, and providing a basis for discussion of issues arising across the young engineering community in relation to electrical and electronic engineering. The aim in these proceedings has been to present high quality work in an accessible medium, for use in the teaching and further research of all people associated with electrical and electronic engineering studies. To achieve this aim, all abstracts were blind reviewed, and full papers submitted for publication in this journal of proceedings were subjected to a rigorous reviewing process.