Titlebook: Information Systems Architecture and Technology: Proceedings of 39th International Conference on Inf; Part II Jerzy Świątek,Leszek Borzemsk

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Model Order Reduction Adapted to Steel Beams Filled with a Composite Materialesearch concerns specific construction solutions used in technological machines. The analyzes concern three reduction methods: Guyan reduction also referred as static condensation, Craig-Bampton reduction and Kammer reduction. These techniques are applied to matrix equations describing steel beams f

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Silent-Ischemia

Optimal Design of Colpitts Oscillator Using Bat Algorithm and Artificial Neural Network (BA-ANN)plication. In designing Colpitts oscillator, different methods have been suggested in the literature. These ranges from intuitive reasoning, mathematical analysis, and algorithmic techniques. In this paper, a new meta-heuristic Bat Algorithm (BA) is proposed for designing Colpitts oscillator. It inv

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An Adaptive Observer State-of-Charge Estimator of Hybrid Electric Vehicle Li-Ion Battery - A Case Stccurate adaptive observer state estimator. The effectiveness of the observer state estimator design is proved through intensive simulations performed to estimate the state-of-charge of a lithium-ion rechargeable battery integrated in a hybrid electric vehicle Battery Management System structure for

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Properties of One Method for the Spline Approximation semi-local smoothing spline, proposed by D.A. Silaev, is studied. When constructing splines of this type, a recurrence formula that binds the group of coefficients of a polynomial from a previous spline link with a similar group of polynomial coefficients from the current spline link, is used. Sila

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An Effective Algorithm for Testing of O–Codestual words are inserted among code words and strings reduced by the common overlapping context. Thus, the concept of code on the basis of overlap product is created, also called .–code. The initial results on the properties and conditions for decoding are the basis to establish an effective algorith

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CNN Based Traffic Sign Recognition for Mini Autonomous Vehicles regulation, and etc. With the advances in the new hardware and software platforms, deep learning has been used in ADAS technologies. Traffic signs are an important part of road infrastructure. So, it is very important task to detect and classify traffic signs for autonomous vehicles. In this paper,

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Parallel Processing of Computed Tomography Imagese effects obtained from tests. In the case of computed tomography examinations, the end result is a series of the described images of the examined object’s shape. The description is made on the careful observation of the results..In this work, we propose a solution that allows to select images that

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Singular Value Decomposition and Principal Component Analysis in Face Images Recognition and FSVDR o within specific procedures. The text briefly introduces the SVD and lists its important features and selected elements of the SVD theory. In addition, the text deals with two important issues related to the field of artificial intelligence with extensive practical use. The first is face recognition

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