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- 저자 : Hina Ashraf (검색결과 3 건)
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Improved CycleGAN for underwater ship engine audio translation
Hina Ashraf,정윤상,이종현 한국음향학회 2020 韓國音響學會誌 Vol.39 No.4
Machine learning algorithms have made immense contributions in various fields including sonar and radar applications. Recently developed Cycle-Consistency Generative Adversarial Network (CycleGAN), a variant of GAN has been successfully used for unpaired image-to-image translation. We present a modified CycleGAN for translation of underwater ship engine sounds with high perceptual quality. The proposed network is composed of an improved generator model trained to translate underwater audio from one vessel type to other, an improved discriminator to identify the data as real or fake and a modified cycle-consistency loss function. The quantitative and qualitative analysis of the proposed CycleGAN are performed on publicly available underwater dataset ShipsEar by evaluating and comparing Mel-cepstral distortion, pitch contour matching, nearest neighbor comparison and mean opinion score with existing algorithms. The analysis results of the proposed network demonstrate the effectiveness of the proposed network.
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Ullah, Muhammad Zia,Khan, Ashraf Ullah,Afridi, Ruqayya,Rasheed, Hina,Khalid, Sidra,Naveed, Muhammad,Ali, Hussain,Kim, Yeong Shik,Khan, Salman Elsevier 2018 INTERNATIONAL IMMUNOPHARMACOLOGY Vol.61 No.-
<P><B>Abstract</B></P> <P>In the current study, the puerarin was investigated for both acute Carrageenan and chronic CFA-induced inflammatory pain models. The Puerarin treatment significantly attenuated (P < 0.001) the mechanical hyperalgesia and mechanical allodynia in both Carrageenan and CFA-induced hyperalgesia. The Puerarin treatment also remarkably reduced (<I>p</I> < 0.001) the thermal hyperalgesic responses in both acute Carrageenan as well as chronic CFA-induced models. Furthermore, the Puerarin administration was also associated with significant inhibition of (<I>p</I> < 0.001) paw edema in both Carrageenan and CFA-induced models. The inflammatory mediators such as IL-1β, IL-6, TNF-α and vascular endothelial growth factor (VEGF) are significantly enhanced during inflammatory conditions, however, the Puerarin administration significantly altered (P < 0.001) the mRNA expression levels of these mediators. Additionally, the Puerarin treatment also significantly enhanced (P < 0.001) the mRNA expressions levels of the anti-oxidant enzymes such as Nrf2, HO-1 and SOD2. The Puerarin treatment is associated with significant (P < 0.001) inhibition of the acetic acid-induced Evans blue vascular permeability. Moreover, the concentration of Puerarin in various tissues was analyzed using High-performance liquid chromatography (HPLC) and the results showed that the Puerarin was significantly distributed towards the peripheral tissues such as liver and kidney and less distributed towards the brain.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Puerarin possess strong antinociceptive properties in animal models. </LI> <LI> Puerarin inhibited various inflammatory cytokines (IL-1β, IL-6, TNF-α), and (VEGF). </LI> <LI> Vascular permeability was significant inhibited by puerarin. </LI> <LI> No apparent toxic effect of puerarin was observed. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
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수동 선배열 소나의 저주파 간섭 신호에 대한 독립성분분석 알고리즘 비교
김주호,이종현,정명준,Kim, Juho,Ashraf, Hina,Lee, Chong-Hyun,Cheong, Myoung Jun 한국음향학회 2019 韓國音響學會誌 Vol.38 No.2
In this paper, we proposed an application method of ICA (Independent Component Analysis) to passive line array sonar to separate interferences from target signals in low frequency band and compared performance of three conventional ICA algorithms. Since the low frequency signals are received through larger bearing angles than other frequency bands, neighboring beam signals can be used to perform ICA as measurement signals of the ICA. We use three ICA algorithms such as Fast ICA, NNMF (Non-negative Matrix Factorization) and JADE (Joint Approximation Diagonalization of Eigen-matrices). Through experiments on real data obtained from passive line array sonar, it is verified that the interference can be separable from target signals by the suggested method and the JADE algorithm shows the best separation performance among the three algorithms. 본 논문에서는 수동 선배열 소나의 저주파 영역에서 수신된 표적 신호로부터 간섭신호를 분리해 내기 위해 독립성분분석 알고리즘을 적용하는 방안을 제안하고 기존 알고리즘들의 성능을 비교해 보았다. 저주파 대역 신호의 경우 비교적 넓은 방위로부터 수신되기 때문에 인접 빔 신호를 관측신호로 활용하여 독립성분분석을 수행할 수 있다. 신호분리에 사용한 독립성분분석 알고리즘은 FastICA(Fast Independent Component Analysis), NNMF (Non-negative Matrix Factorization), JADE (Joint Approximation Diagonalization of Eigen-matrices)이다. 실측 선배열 수동소나신호를 이용하여 독립성분분석을 수행한 결과 제안한 방법으로 간섭신호분리가 가능함을 확인하였으며, JADE 알고리즘의 신호 분리 성능이 가장 우수한 것으로 나타났다.
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