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Abstract

Assessment of seismic vulnerability of urban infrastructure is an actual problem, since the damage caused by earthquakes is quite significant. Despite the complexity of such tasks, today’s machine learning methods allow the use of “fast” methods for assessing seismic vulnerability. The article proposes a methodology for assessing the characteristics of typical urban objects that affect their seismic resistance; using classification and clustering methods. For the analysis, we use kmeans and hkmeans clustering methods, where the Euclidean distance is used as a measure of proximity. The optimal number of clusters is determined using the Elbow method. A decision-making model on the seismic resistance of an urban object is presented, also the most important variables that have the greatest impact on the seismic resistance of an urban object are identified. The study shows that the results of clustering coincide with expert estimates, and the characteristic of typical urban objects can be determined as a result of data modeling using clustering algorithms.
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Authors and Affiliations

Waldemar Wójcik
1
Markhaba Karmenova
2
Saule Smailova
2
Aizhan Tlebaldinova
3
Alisher Belbeubaev
4

  1. Lublin Technical University, Poland
  2. D. Serikbayev East Kazakhstan State Technical University, Kazakhstan
  3. S. Amanzholov East Kazakhstan State University, Kazakhstan
  4. Cukurova University, Turkey
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Abstract

In this paper, a conventional mushroom-type EBG unit cell is made compact by etching a C-slot at its conducting surface. Further, the C-slotted mushroom-type EBG unit cell is coupled with a microstrip line using a novel groove-coupling technique to design a notch filter. The arrangement has achieved in the reduction of the electrical size of the mushroom type EBG unit cell by 46:15% and create a stop band suppression of -12 dB. The proposed EBG is applied to notch a narrow band centered at 5:2 GHz along with an ultra-wideband antenna. The far field gain of the antenna is suppressed by -5:8 dBi along the direction of its major lobe at 5:2 GHz. The overall size of the antenna system is 19x27x1:6mm3 which is compact. The performance of the antenna is validated from the simulation and measured results.

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Authors and Affiliations

Kumaresh Sarmah
Sivaranjan Goswami
Angana Sarma
Sunandan Baruah
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Abstract

Creotech Instruments is advancing a game-changing sCMOS camera series. The Final Prototype Model of an astronomical camera for Space Surveillance and Tracking (SST) is in the test campaign phase. Designed for SST, NEO, and debris detection, its adaptable platform suits quantum tech and biological microscopy. Edge computing sets it apart, leveraging FPGA-based SoC for real-time processing and Linux-based pre-processing. Operating autonomously, it supports on-camera ML algorithms, revolutionizing astronomy. Data pre-processing, like frame stacking, reduces data load. This paper introduces the camera's concept, architecture, and prototype test results, emphasizing specific use cases and future product line development.
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Authors and Affiliations

Paweł Zienkiewicz
1
Katarzyna Karpińska
1
ORCID: ORCID
Mikołaj Jamroży
1
Bartłomiej Juszczyk
1
Dmytro Pochapskyi
1
Tomasz Przedpełski
1
Jerzy Łukasiewicz
2
Natalia Czortek
1
Grzegorz Brona
1

  1. Creotech Instruments S.A., Poland
  2. Air Force Institute of Technology (ITWL), Poland
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Abstract

The paper shows the new method for noise reduction in external gear pumps based on the analysis of the pressure in inter teeth volumes. The simulation model and measurement results of pressure changes in the inter teeth volume has been presented. Based on simulation results an additional volume has been obtained, which is connected to the inter teeth volume (decompression filter volume). Due this additional volume the build down processes in the pump are longer and the pressure overdue in the inter teeth volumes are smaller. This leads to the reduction of the dynamical excitation forces inside the pump and noise, especially in the higher frequency rangeI.

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Authors and Affiliations

Wiesław Fiebig

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