A Novel Method Predicting the Influence of Absorption Material on the Sound Quality of Interior Noise

AbstractAlthough computer-aided diagnosis (CAD) is used to improve the quality of diagnosis in various medical fields such as mammography and colonography, it is not used in dermatology, where noninvasive screening tests are performed only with the naked eye, and avoidable inaccuracies may exist. This study shows that CAD may also be a viable option in dermatology by presenting a novel method to sequentially combine accurate segmentation and classification models. Given an image of the skin, we decompose the image to normalize and extract high-level features. Using a neural network-based segmentation model to create a segmented map of the image, we then cluster sections of abnormal skin and pass this information to a classification model. We classify each cluster into different common skin diseases using another neural network model. Our segmentation model achieves better performance compared to previous studies, and also achieves a near-perfect sensitivity score in unfavorable conditions. Our classification model is more accurate than a baseline model trained without segmentation, while also being able to classify multiple diseases within a single image. This improved performance may be sufficient to use CAD in the field of dermatology.

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A novel p-harmonic descent approach applied to fluid dynamic shape optimization

Structural and Multidisciplinary Optimization ◽

10.1007/s00158-021-03030-x ◽

2021 ◽

Author(s):

Peter Marvin Müller ◽

Niklas Kühl ◽

Martin Siebenborn ◽

Klaus Deckelnick ◽

Michael Hinze ◽

...

Keyword(s):

Shape Optimization ◽

Large Deformations ◽

Fluid Dynamic ◽

Shape Optimisation ◽

Shape Features ◽

Floating Bodies ◽

Novel Method ◽

Sharp Corners ◽

Dynamic Shape

AbstractWe introduce a novel method for the implementation of shape optimization for non-parameterized shapes in fluid dynamics applications, where we propose to use the shape derivative to determine deformation fields with the help of the $$p-$$ p - Laplacian for $$p > 2$$ p > 2 . This approach is closely related to the computation of steepest descent directions of the shape functional in the $$W^{1,\infty }-$$ W 1 , ∞ - topology and refers to the recent publication Deckelnick et al. (A novel $$W^{1,\infty}$$ W 1 , ∞ approach to shape optimisation with Lipschitz domains, 2021), where this idea is proposed. Our approach is demonstrated for shape optimization related to drag-minimal free floating bodies. The method is validated against existing approaches with respect to convergence of the optimization algorithm, the obtained shape, and regarding the quality of the computational grid after large deformations. Our numerical results strongly indicate that shape optimization related to the $$W^{1,\infty }$$ W 1 , ∞ -topology—though numerically more demanding—seems to be superior over the classical approaches invoking Hilbert space methods, concerning the convergence, the obtained shapes and the mesh quality after large deformations, in particular when the optimal shape features sharp corners.

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Reassessing gender in Ogbe-Oloma

Language Typology and Universals ◽

10.1515/stuf-2021-1038 ◽

2021 ◽

Vol 74 (2) ◽

pp. 387-403

Author(s):

Ronald P. Schaefer ◽

Francis O. Egbokhare

Keyword(s):

Sound Quality ◽

Form Class ◽

Nominal Form ◽

Grammatical Number ◽

Gender System

Abstract We re-assess the gender system of Ogbe-Oloma, an Edoid village variety of Nigeria. System exponents are prefixes that define form class and reflect grammatical number. We find that eight agreement classes undergird fourteen genders, while seventeen nominal form classes frame twenty-five number inflections. Prefix mapping from inflection to gender is non-isomorphic. Mapping is however constrained by syllable shape, CV- versus V-, and alliterative sound quality of prefix consonant, not vowel. In addition, several number inflections trigger agreement in multiple genders leading to one gender that exclusively refers to nouns with human reference.

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ART-UP: A Novel Method for Generating Scanning-Robust Aesthetic QR Codes

ACM Transactions on Multimedia Computing Communications and Applications ◽

10.1145/3418214 ◽

2021 ◽

Vol 17 (1) ◽

pp. 1-23

Author(s):

Mingliang Xu ◽

Qingfeng Li ◽

Jianwei Niu ◽

Hao Su ◽

Xiting Liu ◽

...

Keyword(s):

State Of The Art ◽

Visual Quality ◽

Qr Code ◽

Quick Response ◽

Estimation Model ◽

Qr Codes ◽

Excellent Performance ◽

Novel Method ◽

Coarse To Fine

Quick response (QR) codes are usually scanned in different environments, so they must be robust to variations in illumination, scale, coverage, and camera angles. Aesthetic QR codes improve the visual quality, but subtle changes in their appearance may cause scanning failure. In this article, a new method to generate scanning-robust aesthetic QR codes is proposed, which is based on a module-based scanning probability estimation model that can effectively balance the tradeoff between visual quality and scanning robustness. Our method locally adjusts the luminance of each module by estimating the probability of successful sampling. The approach adopts the hierarchical, coarse-to-fine strategy to enhance the visual quality of aesthetic QR codes, which sequentially generate the following three codes: a binary aesthetic QR code, a grayscale aesthetic QR code, and the final color aesthetic QR code. Our approach also can be used to create QR codes with different visual styles by adjusting some initialization parameters. User surveys and decoding experiments were adopted for evaluating our method compared with state-of-the-art algorithms, which indicates that the proposed approach has excellent performance in terms of both visual quality and scanning robustness.

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