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Quadratures with super power convergence
Published 2023-12-01“…The replacement of integration variables is proposed, which dramatically increases the accuracy of the formula of averages. For infinitely smooth integrand functions, the convergence law becomes super power. …”
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A Study on the Super Resolution Combining Spatial Attention and Channel Attention
Published 2023-03-01“…The extracted features were expanded through sub-pixel convolution to create super resolution images, and learning was performed through <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>L</mi><mn>1</mn></msub></mrow></semantics></math></inline-formula> loss. …”
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Area-Specific Convolutional Neural Networks for Single Image Super-Resolution
Published 2022-01-01“…It consists of high parameter convolutions and low parameter convolutions to process the high-frequency areas and low-frequency areas separately, which efficiently reduces the FLOPs (floating-point operation) while maintaining restoration quality. The settings for reduction are configurable and experimental results show that ASCNN achieves state-of-the-art performance with FLOPs reduction up to 40.1% / 37.0% / 34.0% for <inline-formula> <tex-math notation="LaTeX">$\times 2/\times 3/\times 4$ </tex-math></inline-formula> scale factors.…”
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Learning Enriched Features for Image Super Resolution
Published 2022-01-01“…However, most of them do not fully utilize multi-scale feature correspondence in the image SR process, resulting in blurred and artifact detail restoration, especially for SR tasks with larger scaling factors (i.e. <inline-formula> <tex-math notation="LaTeX">$\times 4$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\times 8$ </tex-math></inline-formula>). …”
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Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI
Published 2021-01-01“…However, the average computation speed of ACNS was 6, 4, and 35 times faster than SRCNN, FSRCNN, and DRCN, respectively under the computer setup used with the actual average computation time of 0.15 s per <inline-formula> <tex-math notation="LaTeX">$100\times100$ </tex-math></inline-formula> pixels. …”
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High-Efficiency Super-Resolution FMCW Radar Algorithm Based on FFT Estimation
Published 2021-06-01“…Based on this property, the proposed algorithm adaptively selects the number of samples used as input to the super-resolution algorithm depends on the coarsely estimated ranges of targets using the FFT. …”
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SOFFLFM: Super-resolution optical fluctuation Fourier light-field microscopy
Published 2023-05-01“…Fourier light-field microscopy (FLFM) uses a microlens array (MLA) to segment the Fourier plane of the microscopic objective lens to generate multiple two-dimensional perspective views, thereby reconstructing the three-dimensional (3D) structure of the sample using 3D deconvolution calculation without scanning. …”
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Complexity-Reduced Super Resolution for Foveation-Based Driving Head Mounted Displays
Published 2021-01-01“…PSNR and SSIM performances of the proposed SR for the <inline-formula> <tex-math notation="LaTeX">$4\times $ </tex-math></inline-formula> scale are estimated as 31.152 dB and 0.935 for Set5, 26.656 dB and 0.858 for Set14, 27.138 dB and 0.830 for BSD100, and 25.078 dB and 0.836 for Urban100. …”
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A Sparse Denoising-Based Super-Resolution Method for Scanning Radar Imaging
Published 2021-07-01“…This method uses the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>L</mi><mn>1</mn></msub></semantics></math></inline-formula> norm to represent the sparse prior of the target and solves the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>L</mi><mn>1</mn></msub></semantics></math></inline-formula> regularization problem to achieve super-resolution imaging under the regularization framework. …”
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A novel soft start method of super large capacity high voltage motor
Published 2019-09-01“…The large current generated by starting directly of super large capacity and high voltage induction motor would have a huge impact on the grid as well as the motor itself. …”
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Microphysical processes of super typhoon Lekima (2019) and their impacts on polarimetric radar remote sensing of precipitation
Published 2023-02-01“…(iii) The twin-parameter radar rainfall estimates based on measured <span class="inline-formula"><i>Z</i><sub>H</sub></span> (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M12" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi>Z</mi><mi mathvariant="normal">H</mi><mi mathvariant="normal">M</mi></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="17pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="150fd6eb2567fa2943cf21893872fc53"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-23-2439-2023-ie00004.svg" width="17pt" height="17pt" src="acp-23-2439-2023-ie00004.png"/></svg:svg></span></span>) and <span class="inline-formula"><i>Z</i><sub>DR</sub></span> (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M14" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi>Z</mi><mi mathvariant="normal">DR</mi><mi mathvariant="normal">M</mi></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="21pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="4d0a4e7a912a5656995ac6d0a688c5e8"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-23-2439-2023-ie00005.svg" width="21pt" height="17pt" src="acp-23-2439-2023-ie00005.png"/></svg:svg></span></span>), and their corrected counterparts <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M15" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi>Z</mi><mi mathvariant="normal">H</mi><mi mathvariant="normal">C</mi></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="16pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="7f7f110aeb6a292ec6863cdc170ccc6f"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-23-2439-2023-ie00006.svg" width="16pt" height="17pt" src="acp-23-2439-2023-ie00006.png"/></svg:svg></span></span> and <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M16" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi>Z</mi><mi mathvariant="normal">DR</mi><mi mathvariant="normal">C</mi></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="21pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="af4a4e5ee9464b435f4bf90421f3bbba"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-23-2439-2023-ie00007.svg" width="21pt" height="17pt" src="acp-23-2439-2023-ie00007.png"/></svg:svg></span></span>, i.e., <span class="inline-formula"><i>R</i></span>(<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M18" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi>Z</mi><mi mathvariant="normal">H</mi><mi mathvariant="normal">M</mi></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="17pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="77e15ea304c9522c6f92321079f9e5ec"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-23-2439-2023-ie00008.svg" width="17pt" height="17pt" src="acp-23-2439-2023-ie00008.png"/></svg:svg></span></span>, <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M19" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi>Z</mi><mi mathvariant="normal">DR</mi><mi mathvariant="normal">M</mi></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="21pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="919f86b94f71d352e6186282d91b12fa"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-23-2439-2023-ie00009.svg" width="21pt" height="17pt" src="acp-23-2439-2023-ie00009.png"/></svg:svg></span></span>) and <span class="inline-formula"><i>R</i></span>(<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M21" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi>Z</mi><mi mathvariant="normal">H</mi><mi mathvariant="normal">C</mi></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="16pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="ab6a8397b14785152e190760d17de066"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-23-2439-2023-ie00010.svg" width="16pt" height="17pt" src="acp-23-2439-2023-ie00010.png"/></svg:svg></span></span>, <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M22" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi>Z</mi><mi mathvariant="normal">DR</mi><mi mathvariant="normal">C</mi></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="21pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="fa9dee1500ca6a2b5ccd43fb45b88d15"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-23-2439-2023-ie00011.svg" width="21pt" height="17pt" src="acp-23-2439-2023-ie00011.png"/></svg:svg></span></span>), both tend to overestimate rainfall around the GWS of YDM, mainly ascribed to the unique microphysical process in which the breakup-dominated small-sized drops above transition to the coalescence-dominated large-sized drops falling near the surface. …”
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Design and Analysis of a Novel 24 GHz Up-Conversion Mixer with Improved Derivative Super-Position Linearizer Technique for 5G Applications
Published 2021-09-01“…The power consumption of the mixer is 4.9 mW at 1.2 V, while the chip area of the designed mixer is 0.4 mm<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mrow></mrow><mn>2</mn></msup></semantics></math></inline-formula>.…”
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SR-FEINR: Continuous Remote Sensing Image Super-Resolution Using Feature-Enhanced Implicit Neural Representation
Published 2023-03-01“…However, for subsequent processing, such as detection and classification, the resolution of the input image may vary greatly for different methods. In this paper, we propose a method for continuous remote sensing image super-resolution using feature-enhanced implicit neural representation (SR-FEINR). …”
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Effects of the super-powerful tropospheric western Pacific phenomenon of September–October 2018 on the ionosphere over China: results from oblique sounding
Published 2023-04-01“…The periods and amplitudes of quasi-sinusoidal variations in the Doppler shift, which have been determined for all propagation paths, may be used to estimate the amplitudes, <span class="inline-formula"><i>δ</i><sub>Na</sub></span>, of quasi-sinusoidal variations in the electron density. …”
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FORMULASI TABLET EKSTRAK SAMBILOTO (Andrographis paniculata Nees)
Published 2011“…Based on equations, contour plots and super imposed of the contour plots using Design Expert7.0.0, the optimum formula of sambilotoâ��s extract tablet was obtained with 78,1 â�� 87,55% Avicel PH 102 and 7,19 â�� 7,82% Explotab of the extract weight producing tablet with disintegration time of 4,02 â�� 10,03 minutes and andrographolide dissolution (Q45) of 75,30 â�� 82,44%.…”
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Application and development of fluorescence probes in MINFLUX nanoscopy (invited paper)
Published 2023-01-01“…This paper mainly focuses on recent applications and developments of fluorescence probes and the relevant labeling strategy for MINFLUX microscopy. Moreover, we discuss the deficiencies that need to be addressed in the future and a plan for the possible progression of MINFLUX to help investigators who have been involved in or are just starting in the field of super-resolution imaging microscopy with theoretical support.…”
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Fluorescence emission difference microscopy based on polarization modulation
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