Analytical modeling for the modern mining industry
The modern mining industry has huge innovative potential for the introduction and development of digital revolution products. It has always been the most important industry of modelling development, as many operations and processes here are directly empirical and provide a large amount of data for quantitative analysis, which is now well suited to the use of digital intelligent technologies. With the development of digital technologies, effective integrated modeling techniques and the introduction of new process management, knowledge and data analysis tools are needed. Analytical models here are primarily designed to symbolize object properties in dynamics. Intelligent models and solutions based on the use of information technologies and methods of working with big data were becoming most popular, and the processes of integrated monitoring, personalization, risk management, search and generation of solutions, web orientation of programs and technologies and formation of network organizational structures of management were becoming particularly important. Mining enterprises have specific risks: mining and geological risks, risks of loss of market share and investment attractiveness due to biased valuation of useful fossil reserves, risks related to cybersecurity and innovation. Enterprises need to implement new technologies in a comprehensive manner, and information innovation is becoming very important in the face of a lack of financial resources. Expert systems, fuzzy logic, neural networks and genetic algorithms are the most relevant applications in international practice of geoinformation resource management, which largely determines the practical use of artificial intelligence methods and tools in interaction with pound-based management solutions. Modern analytical expertise includes the integration of process management systems, in particular those that are different, which is based on the development of a large number of integration technologies and techniques that apply different data models and are carried out through different procedures. The study examines the development of analytical models based on intelligent technologies, which are now increasingly used in various areas of the mining industry.
The article reviews the problems of using an electronic document (i.e. legally significant computer information) as a necessary tool for building a digital economy. This problem becomes of special importance in terms of implementation of distributed computing in the interests ofmodern technologies, including Big Data,Artificial Intelligence, Blockchain, Industry 4.0,Industrial Internetof Things,Virtual and Augmented Reality technologies, etc. The authors showthat in case of development and adoption ofthe Law "On Electronic Document", we can link the concepts of "Electronic Document" and "Data Message", and can identify several categories of Computer Information (Electronic data interchange) having asignificance: specified Computer data, traffic data, stored Computer data, traffic data,content data.
This research work deals with the problem formulation of control of complex organizational structures. The mechanism of functioning of such systems is described by example of a vertically integrated company (VIC). The problems of strategic and operative control of VIC are considered. The methods for solving such problems based on genetic algorithms and neural networks are suggested. A new iterative procedure for coordination of strategic and operative control goals based on the estimation of imbalance between shareholder value and net profit distributed for payment of dividends to shareholders is suggested.
The considered system is a double criterion optimization problem with complex multiparameter restrictions.
In this work is presented a new approach to the designing of intelligent systems of the control of the shareholder value for the vertical-integrated Financial Corporation (VIFK). Developed system based on using of system-dynamics methods for the simulation of the synergic interaction between different business directions of VIFK for the target of shareholder value maximization. Note, the described system has been successfully introduced in biggest Russian banking groups and it is used for the preparing of strategic decisions.
Conference is devoted to intelligent systems and technologies.
The article reviews the problems of using an electronic document (i.e. legally significant computer information) as a necessary tool for building a digital economy. This problem becomes of special importance in terms of implementation of distributed computing in the interests of modern technologies, including Big Data, Artificial Intelligence, Blockchain, Industry 4.0, Industrial Internet of Things, Virtual and Augmented Reality technologies, etc. The authors show that in case of development and adoption of the Law "On Electronic Document", we can link the concepts of "Electronic Document" and "Data Message", and can identify several categories of Computer Information (Electronic data interchange) having a significance: specified Computer data, traffic data, stored Computer data, traffic data, content data.
The scope of the conference is to gather researchers from different areas and disciplines to present results and participate in discussions under the common theme of intelligent systems and computing. These interactions will facilitate a better understanding of the diversity of the different approaches as well as of their similarities. In addition it will open the way for applying approaches that have been successful in one area to problem solving in different areas and applications.
The influence of available information on personal development and on the formation of pseudo-complemented discussed in this paper. Free access to information leads to a sense of «know-it-all» and a wealth of skills and knowledge. This phenomenon can be particularly evident in children and adolescents who have not yet learned social norms, have poorly developed critical thinking and don’t know how to select and analyze information.
This paper studies technology creation and transfer of 95 Russian research and technology organisations (RTOs) into producer organisations in agriculture and mining. Previous findings suggested that in agriculture, the barriers for technology adaption are particularly high due to technological conservatism and the atomic structure of the industry. Although RTOs in agriculture publish more and register more patents, they struggle to translate their success into transfer activities. While technology transfer in mining goes well hand in hand with applied research, RTOs in agriculture either build on new technologies or generate revenues through ready-to-use services. The explanation for this rather short-term oriented demand for services of Russia's RTOs lies in the financial situation of client organisations. The vast majority complain about their dire lack of financial means to pay for new technologies. Consequently, agricultural producers do not generate enough revenues to pursue future opportunities, with far reaching consequences. The situation could get better if the RTOs and the client would agree to longer-lasting relationships.
This volume presents new results in the study and optimization of information transmission models in telecommunication networks using different approaches, mainly based on theiries of queueing systems and queueing networks .
The paper provides a number of proposed draft operational guidelines for technology measurement and includes a number of tentative technology definitions to be used for statistical purposes, principles for identification and classification of potentially growing technology areas, suggestions on the survey strategies and indicators. These are the key components of an internationally harmonized framework for collecting and interpreting technology data that would need to be further developed through a broader consultation process. A summary of definitions of technology already available in OECD manuals and the stocktaking results are provided in the Annex section.