Speech Signal Processing using Pulse Coupled Neural Network

This paper presents results obtained from the analysis of Pulse Coupled Neural Network (PCNN)behavior in speech signal processing. Authentic PCNN model inspired by neurobiology was initially used for the image recognition problems such as automatic target recognition in military systems

Wpływ wyposażenia aerodynamicznego naczep na zmniejszenie oporu powietrza mierzonego w tunelu aerodynamicznym

The value of aerodynamic drag is the largest, when a vehicle is moving with higher velocity. It seems that drag reduction is the most important step for reducing the fuel consumption of haulage trailer sets. Using aerodynamic trailer devices is one of many ways for reduction of fuel consumption. This paper deals with experimental measuring of the truck set model in a wind tunnel. The scale of the model was 1/24. Resultant values of the drag reduction for chosen aerodynamic devices are discussed at the end of the paper.Wartość oporu aerodynamicznego jest największa gdy pojazd porusza się z większą prędkością. Wydaje się, że redukcja oporu jest najważniejszym krokiem do zmniejszenia zużycia paliwa zestawów transportowych zawierających naczepy. Zastosowanie wyposażenia aerodynamicznego naczep jest jednym z wielu sposobów na zmniejszenie zużycia paliwa. Niniejszy artykuł poświęcony jest eksperymentalnym pomiarom modelu zestawu ciągnika z naczepą w tunelu aerodynamicznym. Skala modelu wynosiła 1:24. Uzyskane wartości zmniejszenia oporu powietrza dla wybranych elementów wyposażenia aerodynamicznego omówiono w końcowej części pracy

Single image Super Resolution by no-reference image quality index optimization in PCA subspace

Principal Component Analysis (PCA) has been effectively applied for solving atmospheric-turbulence degraded images. PCA-based approaches improve the image quality by adding high-frequency components extracted using PCA to the blurred image. The PCA-based restoration process is similar with conventional single-frame Super-Resolution (SR) methods, which perform SR process by improving the edges portion of low-resolution images. This paper aims to introduce PCA-based restoration to solve SR problem with additive white Gaussian noise. We conducted experiments using standard image database and show comparative result with the latest deep-learning SR approach

The 8-Pyrrole-Benzothiazinones Are Noncovalent Inhibitors of DprE1 from Mycobacterium tuberculosis

8-Nitro-benzothiazinones (BTZs), such as BTZ043 and PBTZ169, inhibit decaprenylphosphoryl-beta-D-ribose 2'-oxidase (DprE1) and display nanomolar bactericidal activity against Mycobacterium tuberculosis in vitro. Structure-activity relationship (SAR) studies revealed the 8-nitro group of the BTZ scaffold to be crucial for the mechanism of action, which involves formation of a semimercaptal bond with Cys387 in the active site of DprE1. To date, substitution of the 8-nitro group has led to extensive loss of antimycobacterial activity. Here, we report the synthesis and characterization of the pyrrole-benzothiazinones PyrBTZ01 and PyrBTZ02, non-nitro-benzothiazinones that retain significant antimycobacterial activity, with MICs of 0.16 mu g/ml against M. tuberculosis. These compounds inhibit DprE1 with 50% inhibitory concentration (IC50) values of <8 mu M and present favorable in vitro absorption-distribution-metabolism-excretion/toxicity (ADME/T) and in vivo pharmacokinetic profiles. The most promising compound, PyrBTZ01, did not show efficacy in a mouse model of acute tuberculosis, suggesting that BTZ-mediated killing through DprE1 inhibition requires a combination of both covalent bond formation and compound potency

Preface

The 8th International Conference of Computational Methods in Engineering Science (CMES’2023), held on November 23rd-25th, 2023 in Puławy, Poland, is organized by the Polish Society for the Promotion of Knowledge, the Lublin University of Technology (Faculty of Mechanical Engineering, Faculty of Electrical Engineering and Computer Science, Faculty of Management, and Faculty of Environmental Engineering), and the Polish Air Force University (Faculty of Aviation). The conference is an excellent opportunity to present and learn how computational methods can be applied in scientific disciplines like mechanical, materials, and civil engineering, management, environmental engineering, mining and energy, computer engineering, and innovative products launched by companies. The interdisciplinary nature of the conference facilitates knowledge sharing among Polish and foreign research centers that represent different engineering and technical sciences disciplines. This edition creates opportunities for plenary sessions and presentations of companies that solve engineering problems with modern computational methods and tools