Series: АВТОМАТИКА И ИНФОРМАТИКА 3, 2019 г.

Key Words: Robust control; cross-flow water turbine; H∞-norm; system uncertainty; load disturbance.

Abstract.  A mathematical model describing the operation of the cross-flow water turbine has been developed in this paper. A robust governor has been synthesized using H∞ techniques to replace the conventional governor of the water turbine . The transient processes in the system are compared to the processes where the classical PID controller is used. The simulations are carried out using MATLAB and the results show that the overall system output performance can be improved using the proposed H∞ robust governor.

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Key Words: Data-storage; data-architectures; data-processing; data-warehouse; SWOT analysis; cloud architectures.

Abstract. This paper aims to review known architectures with application in data structuring, storage and processing. Concepts of architectures used in the construction of data warehouses have been discussed. A comparative analysis has been made, to look at the advantages and disadvantages of these architectures.

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Key Words: Collaborative work; humans and robots; standards; risk management.

Abstract. Robots are a huge part of all human activities. In the industry is proven that collaborative work of humans and robots is more effective, than the production technologies without humans. This, in turn, a new range of problems was created, both in terms of productivity and in safe collaboration, especially for people. The present work sets out to solve the most essential problems for ensuring conflict-free operation while guaranteeing high performance and quality of the functional tasks performed.

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Key Words: Deep Neural Networks; R-CNN; object detection; classification; safety system.

Abstract. Current paper presents an application of Deep Neural Networks in the field of detecting dangerous objects and violence in different areas. Using machine vision, combined with Deep Neural Networks makes possible to improve the safety of citizens in different areas such as the mall, local store and others where guards cannot act fast enough in case of a danger situation.

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Key Words: Content recommendation; gamе-based learning; special educational needs; personalized learning; machine learning.

Abstract. This article presents an approach for creating a content recommendation model in a gamе-based learning platform designed for students with special educational needs. Various referral systems and existing opportunities for intelligent delivery of personalized learning content tailored to the individual needs of children are addressed.

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Key Words: Enterprise resource planning; business process management; optimization; job shop scheduling; metaheuristics; machine learning.

Abstract. The paper presents a metaheuristics based framework for resource planning optimization and business project management. Possibilities for utilization of metaheuristic algorithms are presented in view of solving job shop scheduling problem for resource planning in ERP. A general framework for resource planning and business process management is suggested that utilizes several metaheuristics approaches. The proposed framework allows integration in ERP based on development of an optimization agent in multiagent framework.

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Key Words: Innovation; tourism; smart enterprise; blockchain; JEL Classification: Z32.

Abstract. Smart blockchain services control platform in the smart hotel is applied to enable optimal control of the services provided in the tourist enterprises by reducing the cost of business transactions and increase the trust among participants in the process, by using intelligent devices and equipment, the Internet of Things (IoT), and blockchains. The paper is focused on a useful model for IoT-enabled telematic devices in a smart hotel via a blockchain-based smart contract. At the tourist site, smart sensors and devices are mounted on the various devices and technological blocks in an intelligent platform providing an efficient economy for tourist services. The purpose of the utility model is based on the principle of the intelligent blockchain system for the implementation of secure and certified provision and payments of services in a tourist complex, without relying on a third party, trusted or not, through the introduction of blockchain platform for the execution of the service and payment.

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На 19 и 20 юни 2020 г. се състоя двадесет и първото издание на международната научна конференция CompSysTech’20. Конференцията беше организирана под патронажа на Министерството на образованието и науката, Съюза по автоматика и информатика „Джон Атанасов“ към ФНТС и Русенския университет „Ангел Кънчев“.

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Проф. д-р инж. Маргарита Кръстева Тодорова е родена в Габрово на 18 юли 1950 г. Завършила е висше образование в Националния технически университет – Киевски политехнически институт, специалност изчислителна техника през 1974 г., а през 1984 г. защитава докторска дисертация в същия институт.

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