Crossroads are the main traffic jam generators in densely populated cities. Unmanned vehicles and intelligent transportation systems can significantly reduce congestion and improve road safety by eliminating the main cause of traffic accidents—the human factor. However, full confidence in their safety is necessary. This paper addresses the contextual data integrity problem, when an unmanned autonomous vehicle transmits incorrect data due to technical problems, or malicious attacks. We propose an approach based on trust and reputation that allows detecting vehicles transmitting bogus data. To verify the feasibility of the approach on practice, we conducted both software and physical simulations using the model of intersection and unmanned autonomous vehicle models. The simulation results show that the approach applied allows detecting vehicles with bogus data and excluding them from the group, thus increasing the safety of the intersection traversal by other vehicles.
The actual base for the social sector reforms is life preserving innovations propagating cyber-possibilities into population day to day life. The global trend to create an advanced social model postulated by Japanese researchers and associated today only yet with the Industry 4.0 requires to create a super-intellectual Society 5.0. The point for close attention for the Society 5.0 could be simultaneously the problems of social and economic ways, which require solutions to make the humanity humane. The Society 5.0 reaching is provided by digital services penetration in all spheres of human activity based on the Internet of Everything. The most important problems to justify the current State ways digitalizing are chosen to be economy segments where the social inequality symbols are still yet in domination. The Smart City net scheme using the Internet of Everything to realize the main statements of the Society 5.0 megaproject is proposed.
Abstract. The task of production organization provision development to solve a practical task to describe of the item designing company manufacturing processes based on ontology is being studied. Ontology is a kind of manufacturing processes semantic description. Ontologies are necessary to link the technological equipment models and manufacturing processes which exist in the level of Internet of Things with their digital twins which exist in the level of Internet of services.
The task is being studied to create digital productions in smart factories of the Industry 4.0. Some mechanical and assembly productions of existing companies of the Industry 3.0 and mechanical and assembly productions of perspective companies of the Industry 4.0 are described. The basic components of a smart factory and their interconnection to organize a production activity using humanless and paperless technologies are defined. A comparison analysis of parts and blanks movement to complete route sheet of the item manufacturing (radio and electronic item designing) in the companies of the Industry 3.0 and Industry 4.0 is given. The components of a digital item designing company to be created and implemented in the industry at first hand are defined.
The task is to organize specialists training for working in the industrial companies Industry 4.0. The companies have technological equipment (cyber and physical system) and informative technologies which future specialists will use. To work in the Industry 4.0 company the personnel must highly-qualified and have knowledge and skills in the field of new professions. The specialists must be trained at educational institutes having practical programs. There is a scheme of infrastructure ecosystem of production and educative components to prepare the specialists for the Industry 4.0 companies. There is a scheme how educative program components interact after the education projection and when the students have taken the programs. The ecosystem for preparation of specialists of the Industry 4.0 company has some professional and educative standards where the student competence is in accordance with workers of industrial companies.
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