Wyniki wyszukiwania dla: OBJECT CHARACTERIZATION

• MATERIALS CHARACTERIZATION

  Czasopisma

  ISSN: 1044-5803 , eISSN: 1873-4189

• Buried Object Characterization by Data-Driven Surrogates and Regression-Enabled Hyperbolic Signature Extraction

  Publikacja

  • R. Yurt
  • H. Torpi
  • A. Kizilay
  • S. Kozieł
  • A. Pietrenko-Dąbrowska
  • P. Mahouti

  - Scientific Reports - Rok 2023

  This work addresses artificial-intelligence-based buried object characterization using FDTD-based electromagnetic simulation toolbox of a Ground Penetrating Radar (GPR) to generate B-scan data. In data collection, FDTD-based simulation tool, gprMax is used. The task is to estimate geophysical parameters of a cylindrical shape object of various radii, buried at different positions in the dry soil medium simultaneously and independently...

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• Buried Object Characterization Using Ground Penetrating Radar Assisted by Data-Driven Surrogate-Models

  Publikacja

  • R. Yurt
  • H. Torpi
  • P. Mahouti
  • A. Kizilay
  • S. Kozieł

  - IEEE Access - Rok 2023

  This work addresses artificial-intelligence-based buried object characterization using 3-D full-wave electromagnetic simulations of a ground penetrating radar (GPR). The task is to characterize cylindrical shape, perfectly electric conductor (PEC) object buried in various dispersive soil media, and in different positions. The main contributions of this work are (i) development of a fast and accurate data driven surrogate modeling...

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• Performance Analysis of Interaction between Smart Glasses and Smart Objects Using Image-Based Object Identification

  Publikacja

  • J. Rumiński
  • A. Bujnowski
  • T. Kocejko
  • J. Wtorek
  • A. Andrushevich
  • M. Biallas
  • R. Kistler

  - International Journal of Distributed Sensor Networks - Rok 2016

  We propose the use of smart glasses to collaborate with smart objects in the Internet of Things environment. Particularly we are focusing on new interaction methods and the analysis of acceptable reaction times in the process of object recognition using smart glasses. We evaluated the proposed method using user studies and experiments with three different smart glasses: Google Glass, Epson Moverio, and the developed eGlasses platform....

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• Journal of Object Technology

  Czasopisma

  ISSN: 1660-1769

• Języki skonstruowane jako obiekt badań współczesnej interlingwistyki [Constructed Languages as an Object of Study in Contemporary Interlinguistics]

  Publikacja

  • K. Wojan

  - Biuletyn Polskiego Towarzystwa Językoznawczego - Rok 2016

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• Variable Data Structures and Customized Deep Learning Surrogates for Computationally Efficient and Reliable Characterization of Buried Objects

  Publikacja

  • R. Yurt
  • H. Torpi
  • A. Kizilay
  • S. Kozieł
  • P. Mahouti

  - Scientific Reports - Rok 2024

  In this study, in order to characterize the buried object via deep-learning-based surrogate modeling approach, 3-D full-wave electromagnetic simulations of a GPR model has been used. The task is to predict simultaneously and independent of each characteristic parameters of a buried object of several radii at different positions (depth and lateral position) in various dispersive subsurface media. This study has analyzed variable...

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• Testability of distributed object.

  Publikacja

  • M. Sławińska

  - Rok 2004

  Wyróżniono trzy poziomy zdalnego dostępu do obiektu: ograniczony, częściowy; pełny i sformułowano warunki testowalności dla dwu klas aplikacji rozproszonych: własnych i obcych. Zaproponowano metodę zdalnego monitorowania stanu obiektów zaimplementowanych =na platformie COBRA

• PARTICLE & PARTICLE SYSTEMS CHARACTERIZATION

  Czasopisma

  ISSN: 0934-0866 , eISSN: 1521-4117

• Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function

  Publikacja

  • S. N. Shivappriya
  • M. J. P. Priyadarsini
  • A. Stateczny
  • C. Puttamadappa
  • B. D. Parameshachari

  - Remote Sensing - Rok 2021

  Object detection is an important process in surveillance system to locate objects and it is considered as major application in computer vision. The Convolution Neural Network (CNN) based models have been developed by many researchers for object detection to achieve higher performance. However, existing models have some limitations such as overfitting problem and lower efficiency in small object detection. Object detection in remote...

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