Search results

This study aims to comprehensively address the challenge of delineating traffic scenarios in video footage captured by an embedded camera within an autonomous vehicle.

This methodology involves systematically elucidating the traffic context by leveraging data from the object recognition subsystem embedded in vehicular road infrastructure. A knowledge base containing production rules and logical inference mechanism was developed. These components enable real-time procedures for describing traffic situations.

The production rule system focuses on semantically modeling entities that are categorized as traffic lights and road signs. The effectiveness of the methodology was tested experimentally using diverse image datasets representing various meteorological conditions. A thorough analysis of the results was conducted, which opens avenues for future research.

Originality lies in the potential integration of the developed methodology into an autonomous vehicle’s control system, working alongside other procedures that analyze the current situation. These applications extend to driver assistance systems, harmonized with augmented reality technology, and enhance human decision-making processes.

The present paper aims to explore how to measure trust as a receptivity force in an intra-organisational knowledge-sharing network with the help of self-developed algorithms of modelling percolations.

In this paper, a completely new methodology is applied by using a sample study of an international company’s financial centre as an example. Computer software has been developed to simulate the network and calculate the percolation thresholds by combining its characteristics, thereby revealing what and to what extent connectivity and trust, respectively, influence knowledge sharing.

The application of computer modelling to build up a percolation network is useful for answering questions about the determinants of knowledge sharing. Arguably, the authors demonstrate how the applied new methodology is superior in addressing how to measure the critical values of trust, connectivity and interaction issues, as well as leading to better insights about how these can be managed. The present paper confirms that trust is an essential factor influencing knowledge sharing and that there is a reciprocal effect between social interaction and trust.

The model provides a useful tool for assessing features of the intra-organisational knowledge-sharing network and thus an important foundation for implementing actions in practice. The findings of this study imply that managers should consider the important role of task-related trust between actors and in general for knowledge sharing. With the help of percolation modelling, the degree of trust in an organisation can be computed, and this provides managers with an approach for managing trust.

The topic of “how can trust be measured” is very important and is becoming even more important now because the financial crisis and other issues are raising questions about trust and moral compass rather than financial data. A percolation-based approach to studying knowledge sharing has not been researched in depth before now, and this study attempts to fill that gap. Fundamentally, this multidisciplinary research adds value to the theoretical foundation of the percolation network and research methodology to be used in social sciences and gives an example of their potential practical implications.

Actuality of this subject is predetermined by the fact that global competitiveness and expansion of exchange of knowledge made employers not only increase requirements to factual results of the study at all levels of education but also announce the necessity of formation of new qualities with graduates. The purpose of this paper is to develop a complex of recommendations for employers’ participation in the formation of educational programs for preparing specialists in the service sphere, aimed at improving education quality and the demand for graduates in the labor market.

A method which leads to the study of this problem is desk methods of research. For an evaluation of the results of realization of educational programs and use of educational resources for training of specialists in the service sphere, the authors conducted a survey of employers (representatives of service sphere); the selection constituted 300 people.

The paper determines scientifically substantiated directions of activities for the participation of employers in the formation of educational programs and resources for training of specialists in the service sphere. The authors developed a model of interconnection of purposes and results of employers’ participation in the realization of educational programs, formation, and use of educational resources.

The practical significance of this research consists in the fact that received results and offers could be used by educational establishments, employers, and professional associations.

Looks at the reasons for the collapse of both regimes and considers the importance of repression with these developments. Contrasts the methods of Imperial Russia with the Bolsheviks looking at Court proceedings, prison conditions, education and propaganda in prison, exile and the secret police. Concludes that whilst social support is usually seen as essential for survival of a system, repression is not regarded as a positive element but can become the method for a system’s survival and stability.