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Akademický článek

Consecutive multiscale feature learning-based image classification model

Autor: Bekhzod Olimov, Barathi Subramanian, Rakhmonov Akhrorjon Akhmadjon Ugli, Jea-Soo Kim, Jeonghong Kim

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)

Abstract Extracting useful features at multiple scales is a crucial task in computer vision. The emergence of deep-learning techniques and the advancements in convolutional neural networks (CNNs) have facilitated effective multiscale feature extracti

Externí odkaz: https://doaj.org/article/8dc1379dd8364764819633ff972af1ae

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CMSFL-Net: Consecutive Multi-scale Feature Learning-based Image Classification Model

Autor: Bekhzod Olimov, Barathi Subramanian, Rakhmonov Akhrorjon Akhmadjon Ugli, Jea-Soo Kim, Jeonghong Kim

Extracting useful features at multiple scales is one of the most crucial tasks in computer vision. Emergence of deep learning(DL) techniques and progress of convolutional neural networks (CNNs) allow powerful multi-scale feature extraction that resul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8948f36dba5a42c67cebe909ca361a07
https://doi.org/10.21203/rs.3.rs-2204617/v1

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Comparative Experimental Investigation on Optimal Parametric Array Types

Autor: Jiyoung Song, Jea-Soo Kim, Donghwan Jung, Jaehyuk Lee

Publikováno v: Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 5085, p 5085 (2021)

As a sound transmitting device that relies on the nonlinearity of a medium, a parametric array (PA) can generate high-directivity low-frequency signals using a small aperture transducer and high-frequency signals. Despite their relatively low source

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b8025e59eb7966a022fe75c5f2f6a83
http://europepmc.org/articles/PMC8348831

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Performance comparisons of array invariant and matched field processing using broadband ship noise and a tilted vertical array

Autor: Gihoon Byun, Heechun Song, Jea Soo Kim

Publikováno v: The Journal of the Acoustical Society of America. 144:3067-3074

This paper compares the localization performance of array invariant (AI) and matched field processing (MFP) using a ship of opportunity radiating random noise (200-900 Hz) and a tilted vertical array. AI is a deterministic approach to source-range es

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56dad2f3f558a985cabb18f0896fcdcf
https://doi.org/10.1121/1.5080603

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Method to Determine the Far-Field Beam Pattern of A Long Array From Subarray Beam Pattern Measurements

Autor: Jea-Soo Kim, Donghwan Jung

Publikováno v: Sensors
Volume 20
Issue 4
Sensors, Vol 20, Iss 4, p 1236 (2020)
Sensors (Basel, Switzerland)

Beam pattern measurement is essential to verifying the performance of an array sonar. However, common problems in beam pattern measurement of arrays include constraints on achieving the far-field condition and reaching plane waves mainly due to limit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d896d87ba3d723e474a6865d0945616

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Array invariant-based calibration of array tilt using a source of opportunity

Autor: Gihoon Byun, Heechun Song, Jea-Soo Kim, Sung-Hoon Byun, Chomgun Cho

Publikováno v: The Journal of the Acoustical Society of America. 143:1318-1325

The array invariant, a robust approach to source-range estimation in shallow water, is based on the dispersion characteristics of broadband signals in ideal waveguides. It involves time-domain plane-wave beamforming using a vertical line array (VLA)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de7a1844b0043e643f6f53d663cce0d2
https://doi.org/10.1121/1.5025844

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Underwater Communication with Spatio-Temporal Diversity in a Deep-Water Environment

Autor: Heejin Park, Jea-Soo Kim, Joung-Soo Park, Donghyeon Kim, Joo Young Hahn

Publikováno v: ICUFN

Inter symbol interference (ISI) reduces the performance of underwater acoustic communication (UAComm). This paper shows that the performance of UAComm can be improved through the spatio-temporal diversity method that is the combination of spatial div

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::247cae25eeefa9f55e6ad6a7d3694ae1
https://doi.org/10.1109/icufn.2019.8806164

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MIMO Communication Based on Adaptive Passive Time Reversal in Deep Water

Autor: Jea-Soo Kim, Donghyeon Kim, Heejin Park, Joo Young Hahn, Joung-Soo Park

Publikováno v: ICUFN

In underwater acoustic communication, the multi input multi output (MIMO) technique is used to increase the data rate. However, the MIMO communication performance is reduced by crosstalk. Here, to mitigate the crosstalk, we applied the adaptive time

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0f12dc283392e4f024cd23107da27b4c
https://doi.org/10.1109/icufn.2019.8805915

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Remote acoustic illumination using time reversal and a surface ship

Autor: Jea Soo Kim, Gihoon Byun, Heechun Song

Publikováno v: The Journal of the Acoustical Society of America. 145(3)

Time-reversal (TR) transmission of the Green's function between a time-reversal mirror (TRM) and a probe source (PS) in an acoustic waveguide produces a spatio-temporal focus at the PS location. The TR focus then behaves as a virtual point source in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5af4d3b89c5d982520e8e9397b1edf88
https://pubmed.ncbi.nlm.nih.gov/31067953

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