Depthwise Separable Convolutional ResNet with Squeeze-and-Excitation Blocks for Small-footprint Keyword Spotting

One difficult problem of keyword spotting is how to miniaturize its memory footprint while maintain a high precision. Although convolutional neural networks have shown to be effective to the small-footprint keyword spotting problem, they still need hundreds of thousands of parameters to achieve good performance. In this paper, we propose an efficient model based on depthwise separable convolution layers and squeeze-and-excitation blocks. Specifically, we replace the standard convolution by the depthwise separable convolution, which reduces the number of the parameters of the standard convolution without significant performance degradation. We further improve the performance of the depthwise separable convolution by reweighting the output feature maps of the first convolution layer with a so-called squeeze-and-excitation block. We compared the proposed method with five representative models on two experimental settings of the Google Speech Commands dataset. Experimental results show that the proposed method achieves the state-of-the-art performance. For example, it achieves a classification error rate of 3.29% with a number of parameters of 72K in the first experiment, which significantly outperforms the comparison methods given a similar model size. It achieves an error rate of 3.97% with a number of parameters of 10K, which is also slightly better than the state-of-the-art comparison method given a similar model size

Hazmats Transportation Network Design Model with Emergency Response under Complex Fuzzy Environment

A bilevel optimization model for a hazardous materials transportation network design is presented which considers an emergency response teams location problem. On the upper level, the authority designs the transportation network to minimize total transportation risk. On the lower level, the carriers first choose their routes so that the total transportation cost is minimized. Then, the emergency response department locates their emergency service units so as to maximize the total weighted arc length covered. In contrast to prior studies, the uncertainty associated with transportation risk has been explicitly considered in the objective function of our mathematical model. Specifically, our research uses a complex fuzzy variable to model transportation risk. An improved artificial bee colony algorithm with priority-based encoding is also applied to search for the optimal solution to the bilevel model. Finally, the efficiency of the proposed model and algorithm is evaluated using a practical case and various computing attributes

Clinical observation of glucocorticoid eye drops in the treatment of epidemic keratoconjunctivitis

AIM: To explore the effect of glucocorticoid eye drops in the treatment of epidemic keratoconjunctivitis(EKC)during the immune reaction period.<p>METHODS:Totally, 206 EKC patients(359 eyes)with conjunctival pseudomembranous or(and)the subepithelial corneal infiltrates were selected. The treatment group used glucocorticoid eyes drops in conventional antiviral treatment and the control group only underwent the conventional antiviral therapy. Treatment effects were periodically reviewed and intraocular pressure was monitored.<p>RESULTS: The total effective rates in conjunctive pseudomembranous were 91.4% and 56.9%; and the total effective rates in subepithelial corneal infiltrates were 90.8% and 61.8%. The difference was statistically significant(<i>P</i><0.05).<p>CONCLUSION: Using glucocorticoid eye drops during the immune reaction period of EKC is a safe and effective, which can prevent pseudomembranous formed and promote the absorbed of the subepithelial corneal infiltrates

Bis(μ-biphenyl-2,2′-dicarboxyl­ato)bis­[aqua­(4,4′-dimethyl-2,2′-bipyridine-κ2 N,N′)copper(II)]

The mol­ecule of the title binuclear copper(II) complex, [Cu2(C14H8O4)2(C12H12N2)2(H2O)2], is bis­ected by a crystallographic twofold axis. Each CuII atom is coordinated in a distorted octa­hedral geometry by three O atoms from two biphen­yl-2,2′-dicarboxyl­ate anions, one aqua O atom and two N atoms of a 4,4′-dimethyl-2,2′-bipyridine ligand. Intramolecular O—H⋯O hydrogen bonds between the coordinated water molecules and the carboxylate O atoms are also present