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Acta polytechnica HungaricaVolume 18., Issue No. 9. (2021.)

Tartalom

  • Ivana ©tajner-Papuga ,
    Márta Takács :
    Preface7en [50.50 kB - PDF]EPA-02461-00114-0010
  • Biljana Mihailović ,
    Mirjana ©trboja ,
    Miloą Todorov :

    Abstract: In this paper we prove the Jensen type inequality for the discrete bipolar Shilkret and Sugeno integrals. We propose the conditions for the validity of this type inequality for the discrete bipolar Choquet integral. In order to illustrate the obtained results, some examples are given.

    Keywords: bi-capacity; bipolar Choquet integral; bipolar Shilkret integral; bipolar Sugeno integral; Jensen’s inequality

  • Olga Mamoutova ,
    Mikhail Uspenskiy ,
    Sergey Smirnov ,
    Marina Bolsunovskaya :

    Abstract: Enterprise data storage is usually designed to operate as a highly available system, which needs continuous monitoring and diagnosing of a system state. However, applying the traditional approach to administration tasks with manual analysis of event log files is infeasible due to the complexity of such systems. Multiple levels of monitoring and the heterogeneous nature of diagnostic data require an autonomous solution that provides a combination of model-based, knowledge-based and data-based approaches. An ontologybased diagnostic model, that integrates an expert knowledge of diagnostic parameters, typical storage configurations, and common failure modes, can be considered a promising solution for this task. The implementation goal for such an autonomous diagnostic approach would be not to substitute, but to complement existing diagnostic infrastructure. Hence, software and system event log files can be viewed as additional diagnostic data to be analyzed. This paper presents a new approach to event log analysis, which is supported by the ontology-based diagnostic model: structure of supporting ontology classes, text preparation algorithm, key implementation points, and assessments of the data mining algorithm suitability for the task.

    Keywords: data storage system; diagnostic model; knowledge-based systems; ontology; event log; data mining

  • Sandra Buhmiler ,
    Sanja Rapajić ,
    Slavica Medić ,
    Nataąa Duraković ,
    Tatjana Grbić :

    Abstract: In this paper, the derivative-free method for solving singular systems is compared with the classical finite-difference method for nonlinear systems. Since the convergence rate of an iterative method to singular solution drops down, the convergence can be accelerated by forming the bordered system. Left and right singular vectors of the finite-difference approximation of the Jacobian are used for the construction of the bordered system. The local algorithm for finding a solution is tested on several examples and compared with the finite-difference method. The obtained numerical results, which are promising, indicate fast local convergence of the proposed derivative-free method and point out that it has better performances than the finite-difference method.

    Keywords: nonlinear system; singular system; bordered system; finite-difference approximation

  • Hemza Redjimi ,
    József K. Tar :

    Abstract: In various fields of applications as robotics, life sciences, chemistry, typical nonlinear systems are controlled for the description of which only imprecise and often partial system models are available and the model-based approaches have to be completed by either robust or adaptive solutions for the compensation of the effects of the models’ imperfectness and imprecisions. An alternative approach transformed the control task into a fixed point iteration and tried to solve it in real-time on the basis of Banach’s fixed point theorem. This approach does not require complete state estimation. However, it needs feeding back noisy signals that may corrupt the quality of such adaptive controllers. In the preliminary investigations in [1] this multiple variable solution was utilized for the control of a single variable 1st order system so that it yielded some noise filtering possibility. In the present paper this method is extended for the control of single input - single output 2nd order dynamical systems by applying it to shorter time series of the state variable. The operation of this method is investigated via numerical simulations for the control of a strongly nonlinear, oscillating dynamical system, the van der Pol oscillator that further was modified with the introduction of time-delay effects. The simulations are promising.

    Keywords: Modeling Errors; Measurement Noise; Adaptive Control; Fixed Point Iterationbased Adaptive Control; Banach Space; van der Pol Oscillator; Time Delay

  • Martin ©tancel ,
    Ján Hurtuk ,
    Michal Hulič ,
    Jakub Červeňák :

    Abstract: Indoor navigation is a technology challenge relatively difficult to tackle. This paper examines and describes the implementation of a new approach to indoor navigation using the IndoorAtlas service, which was used to design and implement a prototype application. This is based on the positioning of mobile phone devices, and with the help of the aforementioned service, specific properties of the building are obtained - these include the magnetic fingerprints, a result of the interaction of the Earth's magnetic field with the ferromagnetic materials used in the construction of buildings. In our case, this service was used in correlation with the Java programming language for the Android platform. The publication also contains experiments carried out on the premises of the selected building. Several main measures were made. In the selected environment, the completed measurements demonstrated, that the proposed application fullfils the criteria of a fully functional indoor navigation, with average deviation within the parameters specified by the manufacturer.

    Keywords: indoor navigation; IndoorAtlas; geomagnetic localization; shortest path algorithms

  • László Pokorádi ,
    Sinan Koçak ,
    Edit Tóth-Laufer :

    Abstract: Nowadays, in order to achieve competitiveness in the manufacturing industry, quality and reliability in design and manufacturing processes are essential factors. These requirements can only be fulfilled by using effective estimation models, instead of the cost- and time-consuming measurements. The widely used engineering technique Fuzzy-based Failure Modes and Effects Analysis (F-FMEA) also serves this purpose. This method is able to identify and eliminate potential problems of a product from the process, system, design, and service based on the available data to avoid possible risk (i.e. repetition of damage and additional costs). Data can be analyzed properly assessing the Probability of Failure (PoF), Consequence of Failure (CoF), and Detectability of Failure (DoF) using a fuzzy-based model, which can work well in situations where there is not enough data for a statistical model. Authors investigate different defuzzification methods in F-FMEA, and propose a novel Summative defuzzification to combine the results of the different fuzzy subsystems.

    Keywords: Fuzzy logic; FMEA; Defuzzification; Summative Defuzzification

  • Péter Pál Bakucz ,
    József Zoltán Szabó :

    Abstract: In this work, we present the evaluation of the algorithmic performance of perception, achieved by a video sensor, within the framework of the Highly Automated Driving (HAD) project of the Óbuda University. We process the quality of the real-time uncertainty propagation in the embedded environment. The perception software could be characterized by algorithmic key performance indicators (KPIs) which is the measurable metric of the video sequences uncertainty. Based on endurance runs, for the real-time performance determination of the algorithms, an adaptive filter structure could be approximated. The employed performance architecture is a fuzzy-filtered (F-Fx) version of the LMS (Least Mean Square) algorithm in the embedded autonomous driving software platform. The F-FxLMS model is designed for the prediction of the embedded real-time filter outputs. The key performance indicator is related to the adaptation number of the F-FXLMS filter.

    Keywords: Uncertainty Analysis; Fuzzy Filter; Fuzzy FxLMS (F-FxLMS) Algorithm; Highly Autonomous Driving; Software Performance

  • Radmila Gerov ,
    Tatjana V. Jovanovic ,
    Zoran Jovanovic :

    Abstract: This paper discusses the estimation of the processes, that can be described by the first-order plus dead time, system model. Two methods of parameter estimation are proposed in this paper: the closed-loop under the proportional controller step test and the relay feedback test. The standard symmetrical relay and the preload relay, were used with the Relay feedback. Based on the data, from the recorded response, the parameters of the FOPDT model were estimated, by means of manual calculation using the Lambert W function. The produced results were compared to the results using other methods, in the current literature. Illustrated results were shown through a simulation of several different processes, as well as, with the example of the linearized model, of the pupillary light reflex system.

    Keywords: Dead-Time System; FOPDT model; Parameters estimations; Relay feedback test; Closed-loop test; Lambert W function; pupillary light reflex system

  • István Nagy :

    Abstract: This article reviews the electronic networks used in automotive engineering, with particular reference to a fully electric vehicle (EV). The block diagram of the electronic network of the vehicle is assembled on the basis of measurements and studies carried out on a university EV. The block diagram includes the network connections of sensors, actuators, switches, indicators, control systems, and sub-systems of the vehicle. After mapping the electrical network, the paper is briefly surveying the communication systems and control processors used in EV, then investigates the causes of the probabilities of the failures from the sensor core up to the control units. Regarding sensors investigation, the most important sensor, the wheel speed sensor, will be examined, then the LIN and CAN bus systems operation and its possible faults will be reviewed, analysed. At the end of the article, in the appendix, the complete electronic network of the vehicle can be seen.

    Keywords: Control Units (CUs); Control Modules (CMs); Electric Vehicle Control (EVC); Vehicle Control Module (VCM)