Series: АВТОМАТИКА И ИНФОРМАТИКА 4, 2019 г.

Key Words: Aperiodic unit; time constant; transmission coefficient; parallel correction.

Abstract. A method for full operational identification of objects or units approximated to an aperiodic unit of the first order where electromagnetic inertia or time-delay are negligible. These are low-power electromechanical systems and small chamber furnaces. The method identifies the time constant T and the transmit coefficient k on the object. Robust control of a first-inertia object is developed – a small electric furnace with forced cooling, for which a predetermined transition process of cooling the material has to be provided. The corresponding parallel correction scheme is implemented, which turns the object into a deinterleaving tracking system.

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Кey Words: Dispatching system; GPS; navigation; transport vehicles.

Abstract. A GPS dispatching system for monitoring and managing of transport vehicles has been developed. It is reliable, easy to use, offers a wide range of features that can be used to optimize financial costs. It increases the productivity and efficiency of work, reduces fuel costs and eliminates abuses. It is available in different variants depending on the investments available. Varied modules can be added and security, navigation and driver monitoring can be ensured.

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Key Words: DC motor; solar tracking system; Arduino; photoresistor.

Abstract. This article presents the development of a two-axis platform for laboratory-based solar tracking system. The platform has the ability to rotate on the horizontal and vertical surfaces by two direct current motor. The use of an open source Arduino microcontroller makes it convenient to experiment with a variety of platform control algorithms and maximize performance. Its compact size makes it mobile to experiment with in different work environments. An algorithm is used to monitor the illumination of four photo resistors located on a cross.

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Key Words: Statistical analysis of data; linear and rank correlation; analysis of variance.

Abstract. Good laboratory practice requires laboratories to ensure the quality of analyzes and assess the extent of human exposure to different chemicals and reagents. The subject of research and analysis are data from measurement of samples between two laboratories, by two different methods, in the processing of ore in the Ellatzite-Med AD Mine Complex. Of particular importance is the reliable measurement of the products (concentrations) from the flotation process (content of copper in the ore, intermediate products, concentrate and waste) as well as the production of molybdenum (feed, concentrate and waste). As a result of the sampling and depending on the characteristic to be determined and the test method, the concentration of the identifiable element is measured differently and with different technical means. The statistical analysis of data of parallel measurements from two or three laboratories involves calculating a linear or rank correlation and analyzing how significant the influence of a laboratory factor is, as well as studying and modeling the relationship between the presence of chemical elements in the ore, waste and concentrate in the process of laboratory control.

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Key Words: Gas sensors; gas sensors array; electronic nose; food; quality control; sunflower oil.

Abstract. Тhis work presents a study and identification of oil through multisensor system electronic nose. The system is built on the basis of eight gas sensors, reacting to different types of gas. With the help of the system, a study of sunflower oil produced from pressed sunflower seed and extrusion of oil cake (the remainder of the primary pressing) was carried out. The data obtained from the study is used to train an artificial neural network. After the training, artificial neural network successfully recognizes the test sample.

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Key Words: Emotion recognition; emotion detection;intelligent agents; multimodal analyses;multilayered architecture.

Abstract. The paper presents different approaches for emotion detection and recognition. A system infrastructure for emotion recognition is suggested based on a multilayered multimodal architecture with intelligent agents. The agents have diverse goals, utilizes different modalities and employ various algorithms for emotion detection and recognition. Based on the results of the agents’ operation a neutral model of the multimodal input data is generated that is used for emotion recognition by detecting deformations with respect to the reconstructed model. The proposed system infrastructure allows autonomous operation, utilization of the most suitable recognition algorithms for certain input data and generation of neutral models for the examined object.

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Key Words: Blockchain; education; behavior tracking; distributed networks; e-learning.

Abstract. In this article, we are going to introduce a model for integrating an intended interface platform for storing information regarding the behavior of students, over a blockchain network. The state of the art will describe the actual concept of the technology and the main article will introduce the in-dept architecture of a software prototype UniChain a distributed clause based blockchain network for storing behavior information. The main purpose of the article is to address a practical approach for implementing a theoretical concept over education and to propose an implementation solution for a real-world problem.

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