СОВРЕМЕННЫЕ ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ И ИТ-ОБРАЗОВАНИЕ. Сборник научных трудов II Международной научной конференции и XII Международной научно-практической конференции
The paper describes the principles of economic efficiency of the ATP with a decision support system. The proposed approach allows the analysis and planning of the production program for the production of motor transport.
Implementation of enterprise information management systems is still a challenging task for any organization. One of the key challenges within implementation projects is analysis of business requirements and determination of required system capabilities. Traditionally this challenge is overcome by gathering a team of experienced specialists but we would like to propose an alternate solution: using the ontology based knowledge management system to determine the necessary functionality and configuration of the enterprise information management system based on the user requirements. In this paper we describe the approach for representation of user requirements for such systems as business processes based on the ideas from The Ontology for Linking Processes and IT infrastructure (OLPIT).
Information systems have been developed in parallel with computer science, although information systems have roots in different disciplines including mathematics, engineering, and cybernetics. Research in information systems is by nature very interdisciplinary. As it is evidenced by the chapters in this book, dynamics of information systems has several diverse applications. The book presents the state-of-the-art work on theory and practice relevant to the dynamics of information systems. First, the book covers algorithmic approaches to numerical computations with infinite and infinitesimal numbers. Also the book presents important problems arising in service-oriented systems, such as dynamic composition, analysis of modern service-oriented information systems, and estimation of customer service times on a rail network from GPS data. After that, the book addresses the complexity of the problems arising in stochastic and distributed systems. In addition, the book discusses modulating communication for improving multi-agent learning convergence. Network issues, in particular minimum risk maximum clique problems, vulnerability of sensor networks, influence diffusion, community detection, and link prediction in social network analysis, as well as a comparative analysis of algorithms for transmission network expansion planning are described in subsequent chapters. We thank all the authors and anonymous referees for their advice and expertise in providing valuable contributions, which improved the quality of this book. Furthermore, we want to thank Springer for helping us to produce this book.
This research studies professional and non-professional levels of academic discourse by analyzing cognitive metaphor models in the English written texts produced by Russian students with different competence in economics. The results of comparative analysis of specific features in metaphor models in two types of academic discourses – professional and non-professional – reveal the difference how students at different levels of study develop their professional competence in their core curriculum disciplines. At an early stage students predominantly use external associations in metaphors, and at a later stage – internal/personal verbal associations. The research results might be significant for more targeted identification of ESAP content.
In this paper CASE-technology METAS intended for development of distributed dynamically adaptable information systems is presented. This technology is based on interpretation of the multilevel models describing information system and its domain from the various points of view and at different levels of abstraction. New models expanding functionality of information system can be developed on the basis of existing models.
Institutions affect investment decisions, including investments in human capital. Hence institutions are relevant for the allocation of talent. Good market-supporting institutions attract talent to productive value-creating activities, whereas poor ones raise the appeal of rent-seeking. We propose a theoretical model that predicts that more talented individuals are particularly sensitive in their career choices to the quality of institutions, and test these predictions on a sample of around 95 countries of the world. We find a strong positive association between the quality of institutions and graduation of college and university students in science, and an even stronger negative correlation with graduation in law. Our findings are robust to various specifications of empirical models, including smaller samples of former colonies and transition countries. The quality of human capital makes the distinction between educational choices under strong and weak institutions particularly sharp. We show that the allocation of talent is an important link between institutions and growth.