The preliminary work of power transmission and transformation engineering design tasks relies on the precise survey of terrain to ensure the high-quality completion of design tasks. Therefore, developing a technology ...
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The proceedings contain 70 papers. The topics discussed include: modeling of potential flooding zones with geomatics tools;modeling of complexsystems instability under risks and uncertainty;new classes of unconstrain...
ISBN:
(纸本)9798350396744
The proceedings contain 70 papers. The topics discussed include: modeling of potential flooding zones with geomatics tools;modeling of complexsystems instability under risks and uncertainty;new classes of unconstrained permutation-based problems and their solutions;digital twin simulation for cyber-physical systems on electric heater example;detecting and handling flawed input data in modified morphological analysis method;estimation of the accuracy of methods for calculating interval weight vectors based on interval multiplicative preference relations;comparison analysis of prioritization quality criteria using paired comparison method of prioritization;horizontal method application to multiobjective combinatorial optimization over permutations;fractal analysis in urban studies: a case study on Ukrainian cities;extracting and identifying relationships of key phrases in information flows;intersubjective paradigm and oracle conceptualization as an open-closed platform for programming technologicalization;and problem-oriented model in technical specialized applications of transport systems management.
In view of the existing problems of current voltage source converters, such as high cost, large volume and complexcontrol, this paper studies and proposes a new topology of voltage source converters that is more suit...
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ISBN:
(数字)9798350387759
ISBN:
(纸本)9798350387766
In view of the existing problems of current voltage source converters, such as high cost, large volume and complexcontrol, this paper studies and proposes a new topology of voltage source converters that is more suitable for DC distribution network applications, namely cascade three-level converters, and carries out mathematical modeling and principle analysis, completing the construction of simulation models and basic debugging.
作者：
Stanczyk, UrszulaDepartment of Computer Graphics
Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 2A Gliwice44-100 Poland
In the context of data imbalance probably the most investigated problem is imbalance of classes, as learning from the data with this characteristic makes detection of existing patterns for all classes more difficult. ...
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The proceedings contain 103 papers. The topics discussed include: modeling of geometric correspondences and transformations via geometry constructions language;application of quasi-rotation surface segments in archite...
The proceedings contain 103 papers. The topics discussed include: modeling of geometric correspondences and transformations via geometry constructions language;application of quasi-rotation surface segments in architectural prototyping;method of analytical modeling and simulation of technological processes subject to the influence of external factors;the use of interpolation methods for modelling multifactor processes based on an experiment planning matrix;system for determining the state of the object surface based on fuzzy output rules;indicators for the preliminary assessment of magnetotelluric data sufficiency;features of an acousto-optical two-channel laser displacement interferometer with multi-frequency photodetectors with subpycometer resolution;analysis of modern measuring instruments for research diagnostic systems of print media equipment;and automation of the control process of a gas pipeline network with a complex topological structure.
Intrusion detection systems (IDS) perform a critical security function and can detect both known and unknown and more complex attacks. However, intrusion detection systems based on machine learning mechanisms (primari...
Intrusion detection systems (IDS) perform a critical security function and can detect both known and unknown and more complex attacks. However, intrusion detection systems based on machine learning mechanisms (primarily deep learning) are susceptible to so-called adversarial attacks. This study examines the impact of attacks on the machine learning components of intrusion detection systems used in complex heterogeneous infrastructures by simulating such attacks. Various machine learning models are presented to detect anomalies in most cases used in intrusion detection systems. For the first time, a simulation of an adversarial attack on the machine learning components of IDSs was carried out. The dependence of the influence of the FGSM attack on the efficiency metrics: Precision, Recall, f1 was built.
In current civil aircraft, there are some problems in the design of cabin lighting system, such as complex cable laying, difficult maintenance and so on. To solve these problems, this paper presents the design scheme ...
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At the stage of implementation of simulation models, the investigator is to perform two interrelated procedures, i.e. processing of the results of the simulation experiment, and presenting and documenting the experime...
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ISBN:
(数字)9798331517564
ISBN:
(纸本)9798331517571
At the stage of implementation of simulation models, the investigator is to perform two interrelated procedures, i.e. processing of the results of the simulation experiment, and presenting and documenting the experimental data generated. Any simulation model has no value, until it is implemented by those, whom it is developed for. Only the certain challenges and the ways to solve them are of interest for the majority of managers of complex system development. Therefore, the data generated by a simulation model shall be acceptable for them. The acceptance criteria primarily include reliability and designing practicality of the data.
In this paper, an adaptive neural network sliding mode control (SMC) method based on Udwadia-Kalaba theory is proposed for the modeling and control of complex incomplete constrained electromechanical systems, such as ...
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This paper combines the artificial intelligence algorithm with the modeling and simulation for variable pitch systems of wind turbine, and proposes a fault prediction using the artificial neural network technique of m...
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