Information Technologies and Neural Network Means for Building the Complex Goal Program “Improving the Management of Intellectual Capital”

2021 ◽  
pp. 534-547
Author(s):  
Anzhelika Azarova
Keyword(s):  
Neural Network ◽  
Intellectual Capital ◽  
Information Technologies ◽  
Goal Program ◽  
Complex Goal

Transformation of the intellectual capital structure and a growth in the significance of its components – human capital and intellectual property – in today's economy

2020 ◽  
Vol 16 (4) ◽  
pp. 745-758
Author(s):  
S.N. Larin ◽  
E.Yu. Khrustalev ◽  
N.V. Noakk
Keyword(s):  
Human Capital ◽  
Economic Development ◽  
Intellectual Property ◽  
Intellectual Capital ◽  
Global Economy ◽  
Information Technologies ◽  
Economic Community ◽  
Intellectual Activity ◽  
Accelerated Growth ◽  
Definition Of

Subject. Currently, as the global economy evolves, its innovative components should demonstrate a tendency of accelerated growth as intellectual capital, information technologies, increasing knowledge and digitization of mushrooming production processes. Nowadays, intellectual capital is one of the economic development drivers. However, the economic community is found to have no generally accepted wording of the concept, thus laying the basis for this article. Objectives. The study sums up the analysis of approaches used by the Russian and foreign economists to determining the economic substance of intellectual capital. We also identify the importance of human capital as its components and specify the definition of the concept. Methods. The article overviews and analyzes proceedings by the most renowned authors, which substantiate how the economic substance of intellectual capital should be unveiled, and suggest its definitions. Results. We specified the definition of intellectual capital concerning the current economic development. We suggest integrating a new component into intellectual capital, such as intellectual property, which includes products of intellectual activity and intangible assets. They can be owned by the entity or other legal entities and individuals, including some employees of the entity. Conclusions and Relevance. The specified definition of intellectual capital will help address issues of sustainable economic development and ensure the competitiveness of the Russian entities nationwide and worldwide, since it directly contributes to intellectual capital and its components.

Feature extraction-based image steganalysis using deep learning

2021 ◽  
pp. 188-198
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Convolutional Neural Network ◽  
Secure Communication ◽  
Information Technologies ◽  
Network Models ◽  
Error Rates ◽  
Multimedia Data ◽  
Secret Message ◽  
Neural Network Models

The innovations in advanced information technologies has led to rapid delivery and sharing of multimedia data like images and videos. The digital steganography offers ability to secure communication and imperative for internet. The image steganography is essential to preserve confidential information of security applications. The secret image is embedded within pixels. The embedding of secret message is done by applied with S-UNIWARD and WOW steganography. Hidden messages are reveled using steganalysis. The exploration of research interests focused on conventional fields and recent technological fields of steganalysis. This paper devises Convolutional neural network models for steganalysis. Convolutional neural network (CNN) is one of the most frequently used deep learning techniques. The Convolutional neural network is used to extract spatio-temporal information or features and classification. We have compared steganalysis outcome with AlexNet and SRNeT with same dataset. The stegnalytic error rates are compared with different payloads.

Network Attack Detection With SNMP-MIB Using Deep Neural Network

2020 ◽  
pp. 66-76
Author(s):  
Mouhammd Sharari Alkasassbeh ◽  
Mohannad Zead Khairallah
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Information Technologies ◽  
Deep Neural Network ◽  
Detection System ◽  
Attack Detection ◽  
Machine Learning Techniques ◽  
Network Attack ◽  
Security Breaches ◽  
Security Issues

Over the past decades, the Internet and information technologies have elevated security issues due to the huge use of networks. Because of this advance information and communication and sharing information, the threats of cybersecurity have been increasing daily. Intrusion Detection System (IDS) is considered one of the most critical security components which detects network security breaches in organizations. However, a lot of challenges raise while implementing dynamics and effective NIDS for unknown and unpredictable attacks. Consider the machine learning approach to developing an effective and flexible IDS. A deep neural network model is proposed to increase the effectiveness of intrusions detection system. This chapter presents an efficient mechanism for network attacks detection and attack classification using the Management Information Base (MIB) variables with machine learning techniques. During the evaluation test, the proposed model seems highly effective with deep neural network implementation with a precision of 99.6% accuracy rate.

scholarly journals NEURAL FUZZY NETWORK FOR ASSESSING TECHNOLOGICAL SOLUTIONS FOR FOREST ROADS

2020 ◽  
Vol 10 (3) ◽  
pp. 95-103
Author(s):  
Vladimir Pobedinskiy ◽  
Sergey Buldakov ◽  
Andrey Berstenev ◽  
Elena Anastas
Keyword(s):  
Neural Network ◽  
Intelligent Systems ◽  
Information Technologies ◽  
Rapid Assessment ◽  
Road Construction ◽  
Road Surface ◽  
Forest Roads ◽  
The Road ◽  
Logging Roads ◽  
Fuzzy Network

The article is devoted to the problem of improving road construction technologies, in particular, technological solutions for logging roads. As you know, in road construction, the choice and justification of technological solutions for the road surface is one of the first stages of design, the efficiency of which affects further project as a whole, timing and costs of construction. The solution to such a problem is extremely difficult and, first of all, due to the many interrelated parameters, factors, as well as the uncertainties of data in the problem. The task becomes much more complicated when it is also necessary to take into account the economic indicators of road construction project. But it is in this form that it is of the greatest interest, since these characteristics are often the most important in practice. For these reasons, the problem remains completely unsolved. Therefore, requires further research, as noted, taking into account the uncertainties in the problem. Intelligent systems based on the theory of fuzzy sets, neural networks and their hybrid solutions are proposed for this class of problems, as a result of modern achievements in the field of mathematics and information technologies. Thus, the purpose of this research was to develop a neural network for evaluating technological solutions for logging roads. The result of the research was the development of an adaptive neuro-fuzzy network such as ANFIS, which allows calculating the cost of the road surface depending on the main technological and initial financial parameters. The neural network can be recommended for the design of forest roads, as well as for rapid assessment of the effectiveness of various technological solutions during competitive (tender) selection.

Reshaping Human Capital Formation Through Digitalization

2018 ◽  
pp. 52-73 ◽  
Author(s):  
Sulaiman Olusegun Atiku
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Teaching And Learning ◽  
Information Technologies ◽  
Capital Formation ◽  
Critical Examination ◽  
Intellectual Assets ◽  
Learning Platforms ◽  
Teaching Learning ◽  
Capital Development

This chapter focuses on reshaping intellectual capital formation via electronic-based learning platforms. A critical examination of the literature on human capital development through e-learning was conducted and it was found that digitalization enhances teaching / learning processes and activities, rather than rendering the traditional methods obsolete. The commonly used learning management systems are Blackboard, Class-Front and WebCT. With various virtual learning platforms such as game-based learning, mobile learning, social learning, and virtual world learning, the teaching and learning environments are being extended. The evolution of high levels of sophisticated information technologies across the globe has tremendously improved intellectual capital formation through digital collaboration, and interactions. Therefore, it takes continuous update of intellectual assets through digitized processes to keep abreast of vast innovations and technical know-how.

FORMING THE CONCEPT OF INFORMATION TECHNOLOGY MANAGEMENT OF THE CITIZENS ‘INTELLECTUAL TRANSPORTATION SYSTEM

2020 ◽  
pp. 12-19
Author(s):  
Georgyi Baranov ◽  
Tetyana Danylova
Keyword(s):  
Neural Network ◽  
Information Technology ◽  
Information Technologies ◽  
Urban Traffic ◽  
Transport Infrastructure ◽  
Information Support ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
The City

This article is devoted to the process of modeling dynamic systems of city intelligent transport systems (CITS) with the help of information technologies. The proposed means of fundamentally new integrated subsystems CITS, simultaneously covers arrays of heterogeneous data and use modern neural network technologies to provide information support for the management of transport systems. The safety of the ecological state as a result of the influence of urban traffic in the conditions of industrial centers was formalized for information technologies. Descriptions are executed as mathematical models of complex particles of objects of the city intellectual transport network with the use of heterogeneous fragments. Strategies and methods of systematic management are analyzed for solving complex problems of reducing the ecological load of the city. Ontological descriptions in basic model forms that are focused on ensuring the safety and ecology of urban applications to overcome contamination, risks and threats. This direction involves the creation of systems for automated management of transport infrastructure, which at the moment requires the solution of a range of scientific and technical tasks.The built-in neural network models of dependence will effectively solve planning problems with controlling influences on the infrastructure of urban intelligent transport systems, which will improve the characteristics of the traffic flow and reduce the environmental burden on the environment. The analysis of transport infrastructure and the activities of organizations that have a direct influence on it, has allowed us to propose a scheme for the use of heterogeneous information in the information support of the management of environmental safety and the throughput of the street-road network of urban intelligent transport systems. Keywords: information technology, transport system, situational management, risks, models of the situation.

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