Категория: Списание Автоматика и информатика

Председателят на Съюза по автоматика и информатика „Джон Атанасов“ проф. д-р инж. Коста Бошнаков отново ни изненада! Оказва се, че този винагиусмихнат, жизнен и с елегантни обноски енергичен мъж е достигнал респектиращата 70-годишна възраст! Ще трябва да приемем този документален факт с приятно чувство, че доста от тези години сме контактували с него,участвали сме в безброй заседания, присъствали сме на много научни конференции, излизали сме от сложни ситуации, радвали сме се заедно на едни или
други обществени и лични постижения. Някак си той успя да запази своята отвореност към хората и душевната си мекота, чувството за отговорност към настоящето и бъдещето на нашата общност на специалисти по автоматика и информатика,умението да търси ако не непременно консенсус, то поне приемлив компромис. В една обществена организация, съставена от интелигентни и свободомислещи хора, каквато е САИ, той получи признание като компетентен и ефективен деятел с визия и готовност за безрезервно изразходване на лично време и усилия за укрепване и развитие на организацията ни в съществуващите сложни условия и обществени нагласи.

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Ангел Сотиров Смрикаров е роден на 19 август 1949 г. в Русе. През 1968 г. завършва Техникума по електротехника в гр. Русе, специалност радио и телевизия с пълно отличие и златен медал.
През 1974 г. завършва Киевския политехнически институт, специалност електронноизчислителни машини с пълно отличие и червена диплома. Същата година е приет за стажант-асистент в катедра „Изчислителна техника“ към ВИММЕСС – Русе. През 1975 г. е избран за асистент в катедра „Изчислителна техника“.

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Key Words: Anaerobic degradation; biogas; pilot bioreactor; software sensors; LabVIEW; Beckhoff controller; system for monitoring and control.  

Abstract. In this paper the pilot biogas plant of the Stephan Angeloff Institute of microbiology, BAS is presented. This pilot biogas plant includes computer system for monitoring and control and was designed for development and scale-up of different biotechnologies for anaerobic degradation of organic wastes. Two options of the computer system are developed – research option based on PC and LabVIEW and industrial option based on PLC controller of Beckhoff. Data from sensors is stored and visualized on PC and is used for calculation of unmeasured technological parameters (via software sensors) and for optimal values of control algorithms parameters determination. The developed monitoring system includes software sensors for calculation of specific growth rates of two microbial populations and their biomass concentrations. Bang-bang algorithms are tested for bioreactor temperature regulation (with the controller of Beckhoff) and regulation of the biogas flow-rate (both with LabVIEW and the controller of Beckhoff). The obtained results are acceptable for the temperature regulation and poor for the regulation of the biogas flow-rate.

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Key Words: Food quality; sensory analysis; e-nose; SVM classification; chicken meat.

Abstract. This paper discusses some more important aspects related to sensory characteristics, in particular the implementation of an „electronic nose“ system. The aim of the study is to investigate the possibilities for assessing the quality and authenticity of food products, in particular fresh chicken meat. By using multisensory  data fusion, an attempt has been made to overcome some of the difficulties and shortcomings inherent in organoleptic assessments. For the purposes of classification into classes used one-class SVM classifier. The procedure has been successfully tested to increase the accuracy of the classification by selecting the most informative sensors. The results show the potential of the proposed classifier that could be used as a quick, objective and non-destructive tool for assessing the quality of real-world recognition systems.

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Key Words: Risk including; copper converter; predictive maintenance; case-based reasoning; rule–based reasoning; decision support.

Abstract. The purpose of the investigation is increasing the Remaining Useful Life (RUL) of Peirce-Smith (PS) copper converters on the base of risk assessment. During the operation, on the time of the last third of the cycles in the convertor campaign, there is a danger of a breakthrough in the tuyeres. An approach for the current individual risk assessment of each one tuyere is adopted and on this basis the real risk assessment for the tuyeres line is determined. A two-step predictive maintenance procedure is proposed based on the value of the current breakthrough risk in the tuyeres. When risk assessment is under 80%, the main task is to align the profile of the tuyeres line, and supportive actions are limited to determining which tuyeres should be blocked or unblocked. When the risk rises above 80%, then move to another strategy, which takes into account four risk components: breakthrough in the tuyeres, breakthrough in the body of the converter, non-conventional composition of the black copper, and failure of the intended yield. Decision making for predictive maintenance in this case is supported by Case Based Reasoning and Rule Based Reasoning systems and technological actions and maintenance actions are proposed. 

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Кey Words: Logs; modeling; freezing; free water; icing degree; latent thermal energy.

Abstract. An approach for the computation of the specific (for 1 m³ wood) latent thermal energy of the free water, Q_Lheat-fw, in logs subjected to freezing has been suggested. The approach takes into account to a maximum degree the physics of the freezing processes of the free water in wood. It reflects the influence on the mentioned energy of the wood density, the icing degree formed by the freezing of free water in the logs, as well as the influence of the fiber saturation point of each wood species. Mathematical description of the specific thermal energy Q_Lheat-fw, which is released in logs during the free water freezing in the range from 0 ^oC to –1 ^oC, has been executed. This description is introduced in own 2D non-linear mathematical model of the freezing process of logs. For the solution and verification of the model and for the computation of the energy Q_Lheat-fw, a software program based on the suggested approach and mathematical description was prepared in FORTRAN, which was input into the calculation environment of Visual Fortran Professional. With the help of the program computations have been carried out for determination of the energy Q_Lheat-fw of two beech and two poplar logs with a diameter of 0.24 m, length of 0.48 m, and moisture content above the hygroscopic range during their many hours freezing in a freezer at approximately –30 ^oC. The information about Q_Lheat-fw is needed for scientifically based computing the energy consumption of the freezing and also of the subsequent defrosting processes of logs aimed at their plasticizing in the production of veneer.

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Key Words: Convolutional neural networks; artificial neural networks; machine learning; object classification and recognition; computer vision.

Abstract. The field of machine learning has undergone rapid development with the rise of artificial neural networks (ANNs), over the past years. Some of the recently gained popularity models of the ANN are the so-called convolutional neural networks (CNNs). Impressive results in image recognition and object detection are achieved by the latest generation of CNN’s architectures, which unravel the significant interest in them from various professional communities. This paper presents the structure and basic principles of functioning and training of CNNs. The latest results in the field of development and application of such models have been discussed. The presentation has an informal, intuitive character and implies that the reader is familiar with the basics of machine learning and artificial neural networks.

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Key Words: Internet of Things (IoT); big ocean data; machine learning; linear regression; SVM; Apache Spark; result analysis.

Abstract. The scientific paper has presented the various methods for collecting ocean data in Internet of Things Ecosystem. Most of the big ocean data is associated with sea surface temperature, water flows, air mass movement and their ocean-atmosphere interaction, sea level, sea-ice concentration, ocean topography and their impact on meteorological conditions. All these features of ocean data are of great importance and impact on climate change and its impact on human life. This paper is proposed a method for big data analytics and knowledge discovery of ocean water masses based on machine learning. The experimental framework is based on the Apache Spark environment and uses a PYTHON programming language optimized for big data processing. The experimental investigations have been performed using machine learning algorithms: linear regression and supporting vector machines. The paper has been presented the obtained results and their analysis.

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Key Words: Energy management systems; Internet of Things; optimization; ISO 50001; metallurgy plant.

Abstract. Energy management systems (EMS) are complete solutions for optimization of energy consumption and energy processes in enterprises. They encompass specialized hardware and software components and services directed towards monitoring, measurement and management of energy consumption. Тhe advanced Industrial Internet of Things (IIoT) paradigm may be successfully used to improve the functionality and quality of EMS ensuring reliable data collection and sharing, ubiquitous computing, and computing clouds using powerful resources to solve a variety of decision-making and scheduling tasks that abound in the system. The basic requirements for advanced energy management systems based on the ISO 50001 standard are analyzed. The architecture and functionality of currently used energy management system for non-ferrous metallurgy plants are presented and the weaknesses of this system are analyzed. An improved framework of the energy management system based on the concept and technologies of the Industrial Internet of Things is proposed and discussed.

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Кey Words: Flat wood details; one sided heating; plasticizing; bending; temperature conductivity.

Abstract. An approach for the computation of the thermal conductivity of flat wood details during their one sided heating process before bending has been suggested. Mathematical descriptions of the specific heat capacity, thermal conductivity, and density of the non-frozen wood in the hygroscopic range have been introduced in own 1D non-linear mathematical model of one mentioned process. For the numerical solution of the model a software program has been prepared in the calculation environment of Visual FORTRAN Professional developed by Microsoft. With the help of the program, the 1D non-stationary temperature distribution along the thickness of subjected to one sided conductive heating flat wood details aimed at their plasticizing in the production of curved back parts of chairs has been calculated. The change in the thermal conductivity as a function of the temperature, moisture content, and basic density for beech details with an initial temperature of 20°C, moisture content of 0.15 kg.kg-1, and thickness of 16 mm during their 30 min one sided heating at temperature of 80°C, 100°C, and 120°C of the heating metal body has been computed, visualized and analyzed.

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Key Words: ERP systems; packaging production; corrugated board; recycled paper; model of implementation.

Abstract. The article presents typical features of planning and implementation of a specialized ERP system in packaging production plants from corrugated board. The specific requirements from the customer point of view for systems automation in the production of corrugated packaging from recycled paper are systematized. An overview and classification of the ERP systems has been made and various types of systems implementation are presented. A model of the process implementation of ERP systems in corrugated packaging factory and main phases of project realization is proposed. The phases of the project implementation and distribution of responsibilities of the participants are described. The key indicators that generate benefits of implementing ERP system in this type of production are referred.

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Key Words: Laser marking; numerical experiments; fiber laser; steel 41Cr4; speed; frequency; power density.

Abstract. The advantages of laser marking over other marking methods are discussed. The influence of speed and frequency on the process of laser marking by melting with a fiber laser on specimens of structural steel 41Cr4 was investigated. Numerical experiments were received using the program TEMPERATURFELD3D. Graphics of the dependence of temperature from speed and frequency for two power densities were obtained. Preliminary work intervals of the speed and frequency for two power densities for the material under study were determined.

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Key Words: Artificial intelligence; secondary schools; representation and knowledge processing; intelligent agents; semantic modeling; machine learning and emerging technologies.

Abstract. The article briefly introduces the published in 2019 by Izkustva Publishing House textbook “Artificial Intelligence. Solving Problems Through Search“ with authors Stanimir Stoyanov, Todorka-Glushkova and Yordan Todorov – lecturers at the Plovdiv University “Paisii Hilendarski”. The textbook adopts an algorithmic approach and the basic methods are presented as abstract algorithms, with curious examples, interesting questions and biographies of researchers added for a clearer understanding. According to the specific conditions in each school and class certain topics and tasks could be included or respectively excluded. The following textbooks are: knowledge representation and processing, intelligent agents, semantic modeling and machine learning. It has been suggested that other scientists, professors and specialists will be involved in writing textbooks on emerging technologies.

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Key Words: Approbation results; innovative methodology; David Kolb’s experiential learning cycle; Honey & Mumford learning types.

Abstract. The aim of this article is to present the results from a research, focused on the creation and evaluation of an innovative educational model, combining: Honey and Mumford learning styles, David Kolb experiential learning cycle and identification of the most effective innovative ICT technologies supporting the educational process for each learning style in the methodology of David Kolb’ experiential learning cycle. The presented in this article methodology was used as a basis for development of learning materials for university master degree course in the field of “Innovations and Innovation Management” and this gave opportunity for evaluation of the developed model: part of the course was implemented with traditional lectures without application of the presented here innovative model and later the same part of the course was implemented with application of the here presented innovative model and the specifically prepared for it learning materials. During the experiment the students filled in questionnaires in order to evaluate the used methods, learning materials and tasks in the course, the levels of acquired knowledge, level of involvement and satisfaction in the course. The results from this research presented in this article confirmed the successful application of the innovative methodology and the students’ preference towards educational process based on this methodology.

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Key Words: Standalone applications; industrial automation; teaching materials.

Abstract. Developing standalone applications to solve specific tasks is a convenient teaching tool. Standalone applications have been compiled from MATLAB code into executable files that can run outside of MATLAB for teaching materials in classes of Industrial Automation. Six standalone applications have been developed: four applications for the analysis of first- and second-order systems in time and frequency domains, one application to study time-delay systems and one to study systems with P, PI, PID controllers. The purpose of the present development is to share these applications with users who do not have MATLAB installed.

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Key Words: Game development; software architecture; serious games; virtual floor.

Abstract. Play is the oldest form of learning. Nowadays, there are numerous examples of video games that are developed for educational purposes. The hardware medium those games are played also varies – from traditional desktop PC sand consoles, through mobile devices, to virtual reality head sets. The latest additions to that list are virtual walls and floors. In this paper, we present FluurMat [16] – a virtual floor for both educational and entertainment games. Furthermore, we demonstrate and discuss several examples of serious games that are implemented on the top of that architecture. We also briefly explain which specific abilities each one of those games trains.

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По инициатива на САИ, ФНТС и академични издателства на 30 януари 2020 г. в Националния дом на науката и техниката беше представена книгата „История на висшето техническо образование в България“ с автори Васил Сгурев, Сашо Гергов и Генчо Иванов. Януарската сбирка на Клуб САИ се състоя на 30 януари 2020 г. Темата „Суперкомпютрите –днес и предполагаемото бъдеще“ беше представена от проф. Стоян Марков – БАН. На февруарската сбирка на Клуб САИ, проведена на 27 февруари 2020 г., гостува Русенският университет „Ангел Кънчев“. Темата беше „Визия за университета на бъдещето“, представена от чл.-кор.проф. д.т.н. Христо Белоев – ректор на университета, и проф. д-р Ангел Смрикаров – ръководител на Центъра по иновационни образователни технологии. В този брой на списанието ви запознаваме с представената тема на февруарската сбирка на Клуб САИ.

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Поради обявеното извънредно положение във връзка с пандемията от коронавирус сбирката на Клуб САИ през март 2020 г. не можа да се проведе присъствено. Клуб САИ предостави на нашите колеги възможност на 19 март 2020 г. да участват в уебинар на тема „Бизнес по време на COVID’19. Пълен текст

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На 2 февруари 2020 г. нашият много уважаван колега проф. д.т.н. д.х.к. Емил Костов Николов навърши 70 години. Той е роден на 2 февруари 1950 г. в София.

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