Abstract As timber structures are vulnerable to degradation due the tendency trap moisture, present study proposed a new percussion-based method replace existing constant contact between and sensors. A total of two approaches have been automated detect moisture content (MC) timber: (a) random forest classifier (machine learning-based) was employed classify wavelet packet decomposition (WPD) features extracted from excitation-induced sound signals (WPD + RF); (b) 2D-CNN framework (deep Mel...

Appearance can affect social interaction, which in turn affects personality development. There is ample evidence that facial morphology and cues provide information about human behavior. In this study, we focused on the relationship between self-reported characteristics features. We propose a new approach for predicting college students' (on basis of Big Five characteristics) with static images. First, construct dataset containing 13,347 data pairs composed images characteristics. Second,...

Abstract In the present work, suspension polymerization method is used for preparation of porous polymer microspheres with different surface morphology, and mechanism systematically expounded. The morphology results show that smooth, convex, wrinkled could be controlled by adjusting ratio monomer to porogens. micelles forming framework support “Eggshell,” its size shape directly affect “Eggshell.” addition monomers (GMA), whose has low glass transition temperature ( T g ), important...

Tremendous progress on deep learning has shown exciting potential for a variety of face completion tasks. However, most learning-based methods are limited to handle general or structure specified images (e.g., well-aligned faces). In this article, we propose novel algorithm, called Learning and Preserving Face Completion Network (LP-FCN), which simultaneously parses extracts identity-preserving (FIP) features. By tackling these two tasks in mutually boosting way, the LP-FCN can guide an...

The assessment of personality traits is now a key part many important social activities, such as job hunting, accident prevention in transportation, disease treatment, policing, and interpersonal interactions. In previous study, we predicted based on positive images college students. Although this method achieved high accuracy, the reliance alone results loss much personality-related information. Our new findings show that using real-life 2.5D static facial contour images, it possible to...

Bagging (Breiman 1996) and its variants is one of the most popular methods in aggregating classifiers regressors. Originally, analysis assumed that bootstraps are built from an unlimited, independent source samples, therefore we call this form bagging ideal-bagging. However real world, base predictors trained on data subsampled a limited number training samples thus they behave very differently. We analyze effect intersections between bootstraps, obtained by subsampling, to train different...

A novel method for the preparation of magnetic porous carbon materials (MPMs) with high specific surfaces was developed using hydroxymethylferrocene through combination chloromethylation, hypercross-linked polymerization, and vacuum carbonization. The MPMs were mainly composed iron nanoparticles. surface maximum saturation magnetization 295.90 m2/g 7.45 emu/g, respectively. Furthermore, organic dyes, pesticides, antibiotics chosen as model adsorbates to test adsorption properties MPMs....

Early breast cancer detection is an emerging field of research as it can save the women infected by malignant tumors. Microwave imaging has recently been proposed for detecting small tumors at early stages. medical application interest many years, images are maps electrical property distributions in dielectric properties between cancerous tissues and healthy tissues; possible to use a diagnosis tool. In this contribution, authors have over viewed status microwave tumor detection. The...

Online multi-kernel learning is promising in the era of mobile computing, which a combined classifier with multiple kernels are offline trained, and online adapts to personalized features for serving end user precisely smartly. The adaptation mainly carried out at end-devices, requires algorithms be light, efficient accurate. Previous results focused on efficiency. This paper proposes an novel model framework not only efficiency but also optimal adaptation. At first, incremental simplex...

An asymmetrical chiral metamaterial at microwave frequency is constructed by using four double-layered L-shaped strips which are rotated 90 0 with respect to their adjacent metal strip. These different size allows another degree of freedom in the equalizing orthogonal components electric fields output interface o phase difference when x-polarized wave excites structure. The proposed structure exhibits properties medium such as optical activity and circular dichroism. L shaped objects can be...

The conical beam forming characteristics of a two-arm and four-arm spiral antenna with arbitrary configuration are researched in this paper. antennas analyzed based on the Nakano integral equation moment method. results show that their direction can be changed by adjusting winding denseness antennas. With increase deviation from axis increases to form shaped radiation patterns. equiangular is wider than Archimedean better conformity.

Metamaterials composed of metallic strips on both side the substrate are analyzed at microwave frequencies. The rectangular shaped foils rotated by 90 o with respect to their adjacent metal strip each substrate. twist angle between cross opposite sides is 40 . proposed structure exhibits properties chiral medium such as optical activity and circular dichroism due coupling electric magnetic fields. objects can be easily fabricated double Both transmission reflection resonances illustrated....

The high frequency field expressions are analyzed for perfect electromagnetic conducting (PEMC) elliptical reflector embedded in isotropic, homogeneous and reciprocal chiral medium. Geometric optics (GO) method is used to find the caustic region PEMC reflector. However, GO fields not valid around due occurrence of un-realistic singularity region. Therefore, Maslov’s derive which also vicinity effect admittanceM boundary chirality parameter kβ on illustrated by plotting numerical results...

Early breast cancer detection is an emerging field of research as it can save many lives infected by malignant tumors. Microwave imaging one the main pillars in biomedical fields comprehensive care. The mathematical theory microwave tomography involves solving image reconstruction problem for Maxwell’s equations. In this contribution, we analyze potential model early tumors from method. early-stage within challenged both moderate endogenous dielectric contrast between healthy and glandular...