The weave pattern (texture) of woven fabric is considered to be an important factor the design and production high-quality fabric. Traditionally, recognition has a lot challenges due its manual visual inspection. Moreover, approaches based on early machine learning algorithms directly depend handcrafted features, which are time-consuming error-prone processes. Hence, automated system needed for classification improve productivity. In this paper, we propose deep model data augmentation...

Super-hydrophobic lotus leaf like surface has been fabricated via growth of flower-like boehmite on 2024 aluminum alloy and subsequent POTS modification.

In this work, one-dimensional CoMoO4·0.9H2O nanorods grown on reduced graphene oxide hybrid composites (CoMoO4·0.9H2O–rGO) with good electrochemical properties have been synthesized by a simple and environmentally friendly hydrothermal synthesis procedure. The conductive not only improves the electron conductivity of overall electrode but also provides strong synergistic effects Faradaic pseudo-capacitance (CoMoO4·0.9H2O). Meanwhile, rGO can act as buffer for volume change, which provide an...

The alternating direction method is one of the attractive approaches for solving convex optimization problems with linear constraints and separable objective functions. Experience applications has shown that number iterations depends significantly on penalty parameter constraint. parameters in classical are a constant. In this paper, an improved proposed, which not only adaptively adjusts per iteration based message but also adds relaxation factors to Lagrange multiplier update steps....

In reality, deploying the traditional object detection algorithm on mobile and embedded devices is difficult due to limited memory computation resources. To solve this problem, we propose a lightweight, real-time algorithm, YOLOv5-R. First, inserting efficient channel attention (ECA) module into Ghost achieves information interaction between channels suppresses redundant features. And applying dense connections it further improves feature reuse network performance, forming Ghost-ECA-Dense...

This paper discusses the problem of adaptive exponential synchronization in mean square for a new neural network model with following features: 1) noise is characterized by Lévy process and parameters change line Markovian process; 2) master system also disturbed same noise; 3) there are multiple slave systems, state matrix each an affine function matrices all systems. Based on Lyapunov functional theory, generalized Itô's formula, -matrix method, control technique, some criteria established...

Excitement and synchronization of electrically chemically coupled Newman-Watts (NW) small-world neuronal networks with a short-term synaptic plasticity described by modified Oja learning rule are investigated. For each type network, the variation properties weights examined first. Then effects rate, coupling strength shortcut-adding probability on excitement network studied. It is shown that suppresses over-excitement, helps for but impairs one. Both introduction shortcuts increase improve...

Genre is one of the most widely mentioned music labels which have a great influence on accuracy recommendation. Machine learning often used to tackle with genre classification task, but result approach heavily depends performance feature extraction. Deep neural network automatically learns advanced features layer by layer, makes excellent results in many areas. Music signal sequential and Recurrent Neural Network (RNN) employed for data. Among variant units RNN, Independently (IndRNN) can...

Vehicle type classification plays an essential role in developing intelligent transportation system (ITS). Based on the modern accomplishments of deep learning (DL) image classification, we proposed a model based transfer learning, incorporating data augmentation, for recognition and Bangladeshi native vehicle types. An extensive dataset vehicles, encompassing 10,440 images, was developed. Here, images are categorized into 13 common classes Bangladesh. The method utilized residual network...

A new approach for the fabrication of γ-AlOOH nanoflake films has been developed. The nanoflakes were successfully formed on a glass substrate via simple, low temperature, and seed-assisted hydrothermal technique. large amount with various thicknesses interlaced together, resulting in nest-like layer film their sharp edges preferentially vertical to substrates. effects time concentration morphology phase are investigated. X-ray powder diffraction (XRD), field emission scanning electron...

Objective.The investigation of neurophysiologic mechanisms anesthetic drug-induced loss consciousness (LOC) by using the entropy, complexity, and information integration theories at mesoscopic level has been a hot topic in recent years. However, systematic research is still lacking.Approach.We analyzed electrocorticography (ECoG) data recorded from nine rats during isoflurane-induced unconsciousness. To characterize complexity connectivity changes, we investigated ECoG power, symbolic...

Otariidae are excellent swimmers and the only ones among marine mammals that use foreflippers for propulsion. Taking California sea lion as bionic prototype, this article proposed developed a biomimetic robotic foreflipper device (robotic flipper short), which is composed of pair flippers serial mechanism consisting wobbling coin RSSR spatial crank-rocker mechanism. The attitude motion characteristics were obtained based on kinematic analysis flipper. Kinematic tank experiments show can...

Usually, a fabric weave pattern is recognized using methods which identify the warp floats and weft floats. Although these perform well for uniform or repetitive patterns, in case of complex become computationally classification error rates are comparatively higher. Furthermore, fault-tolerance (invariance) stability (selectivity) existing still to be enhanced. We present novel biologically-inspired method invariantly recognize (fabric texture) yarn color from image input. proposed model...