Fault Diagnosis in Medium Voltage Drive Based on Combination of Wavelet transform and Support Vector Machine

Nowadays, Medium Voltage Drive (MVD) has been widely applied in the field of high-powered motor speed-regulation. These types of converter use a lot of insulated gate bipolar translators (IGBTs). So it is very important to find an effective way to diagnose IGBT open-circuit faults. This study describes a method of diagnosis for IGBT open-circuit faults in MVD whose topology is cell series of multi-level. This method combines wavelet transform (WT) and support vector machine (SVM). The wavelet transform is used to extract fault features and SVM is used to classify the fault states of a single power unit. Then, the trained SVM classifier is used to scan all power units of MVD sequentially. Results of simulation on the platform of MATLAB/Simulink show that this method has a good diagnosis capability. It can diagnose the IGBT open-circuit faults of the whole inverter system, and diagnosis accuracy is up to 96%. So, this method has a good application prospect

Enhancing Spoofing Speech Detection Using Rhythm Information

Current spoofing speech detection systems need more convincing evidence. In this paper, the flaws of rhythm information inherent in the TTS-generated speech are analyzed to increase the reliability of detection systems. TTS models take text as input and utilize acoustic models to predict rhythm information, which introduces artifacts in the rhythm information. By filtering out vocal tract response, the remaining glottal flow with rhythm information retains detection ability for TTS-generated speech. Based on these analyses, a rhythm perturbation module is proposed to enhance the copy-synthesis data augmentation method. Fake utterances generated by the proposed method force the detecting model to pay attention to the artifacts in rhythm information and effectively improve the ability to detect TTS-generated speech of the anti-spoofing countermeasures.Comment: Five pages, two figure

Influence of Croton tiglium seeds on the pharmacokinetics of anthraquinones in Radix et Rhizoma Rhei

In this study, the influence of Croton tiglium seeds on the pharmacokinetic of rhein in Radix et Rhizoma Rhei was performed to elucidate the compatibility relationship of these two herbs. The pharmacokinetics of rhein was studied following oral administration of pure rhein, Radix et Rhizoma Rhei methanol extract (RE) and Radix et Rhizoma Rhei and seeds of Croton tiglium mathanol extract (RCE), with approximately the same dose of 10mg/kg. It was found that comparing with that in monomer, both AUC and Cmax of rhein in RE and different proportion of RCE were significantly different. The results indicated that comparing with the monomer, the concentration of rhein in the plasma was increased in the group of RE whereas the tendency of AUC and Cmax of rhein in RCE presented quite discrepancy depending on the different proportion of RCE.Colegio de Farmacéuticos de la Provincia de Buenos Aire

4-Des­oxy-4β-[(5-meth­oxy-1H-indol-3-yl)oxalylamino]podophyllotoxin methanol solvate

The main mol­ecule of the title solvate, C33H30N2O10·CH3OH, is a new anti­tumor agent, which shows cytotoxicity against MDR cancer cell lines. It has been synthesized by coupling 4β-amino­podophyllotoxin with (5-meth­oxy-1H-indol-3-yl)glyoxyl chloride and structurally characterized. There are two crystallographically independent mol­ecules in the asymmetric unit, which differ in the dihedral angles between the aromatic rings. The dihedral angles between the benzene ring of the benzo[d][1,3]dioxole and the benzene ring of the 5-meth­oxy-1H-indole are 85.08 (3) and 76.88 (3)° and reflect the main conformational difference between the two independent mol­ecules. The asymmetric unit is completed with two methanol solvent mol­ecules, one of which is disordered over two positions, with occupancies close to 0.5

Genome-wide association studies and CRISPR/Cas9-mediated gene editing identify regulatory variants influencing eyebrow thickness in humans

Hair plays an important role in primates and is clearly subject to adaptive selection. While humans have lost most facial hair, eyebrows are a notable exception. Eyebrow thickness is heritable and widely believed to be subject to sexual selection. Nevertheless, few genomic studies have explored its genetic basis. Here, we performed a genome-wide scan for eyebrow thickness in 2961 Han Chinese. We identified two new loci of genome-wide significance, at 3q26.33 near SOX2 (rs1345417: P = 6.51×10−10) and at 5q13.2 near FOXD1 (rs12651896: P = 1.73×10−8 ). We further replicated our findings in the Uyghurs, a population from China characterized by East Asian-European admixture (N = 721), the CANDELA cohort from five Latin American countries (N = 2301), and the Rotterdam Study cohort of Dutch Europeans (N = 4411). A meta-analysis combining the full GWAS results from the three cohorts of full or partial Asian descent (Han Chinese, Uyghur and Latin Americans, N = 5983) highlighted a third signal of genome-wide significance at 2q12.3 (rs1866188: P = 5.81×10−11) near EDAR. We performed fine-mapping and prioritized four variants for further experimental verification. CRISPR/Cas9-mediated gene editing provided evidence that rs1345417 and rs12651896 affect the transcriptional activity of the nearby SOX2 and FOXD1 genes, which are both involved in hair development. Finally, suitable statistical analyses revealed that none of the associated variants showed clear signals of selection in any of the populations tested. Contrary to popular speculation, we found no evidence that eyebrow thickness is subject to strong selective pressure

Analysis for Soil Moisture in Jiangsu Province, China, Using GLDAS Data

In this chapter, we present the analysis for the evolution characteristics of temperature, precipitation, and soil moisture. We choose a newly developed method that is based on the information flow (IF) concept to research the causality between annual mean temperature, precipitation, and soil moisture in Jiangsu province, China, from 1961 to 2011 by using the Global Land Data Assimilation System (GLDAS). The correlation and the causality of air temperature and precipitation on soil moisture were compared and discussed. The causality value of 0–10 cm layer is significantly different from zero, while the deeper, in comparison to the surface layer, is negligible. This result unambiguously shows the causality in the sense that the precipitation increase and the temperature decrease are causing the shallow soil moisture to increase. Temperature and all layers of soil moisture have a negative correlation, but precipitation inverses. Precipitation strongly has the greatest effects on soil moisture in the surface layer, though the rest layers are not obvious

PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR

Deep neural networks (DNNs) are of critical use in different domains. To accelerate DNN computation, tensor compilers are proposed to generate efficient code on different domain-specific accelerators. Existing tensor compilers mainly focus on optimizing computation efficiency. However, memory access is becoming a key performance bottleneck because the computational performance of accelerators is increasing much faster than memory performance. The lack of direct description of memory access and data dependence in current tensor compilers' intermediate representation (IR) brings significant challenges to generate memory-efficient code. In this paper, we propose IntelliGen, a tensor compiler that can generate high-performance code for memory-intensive operators by considering both computation and data movement optimizations. IntelliGen represent a DNN program using GIR, which includes primitives indicating its computation, data movement, and parallel strategies. This information will be further composed as an instruction-level dataflow graph to perform holistic optimizations by searching different memory access patterns and computation operations, and generating memory-efficient code on different hardware. We evaluate IntelliGen on NVIDIA GPU, AMD GPU, and Cambricon MLU, showing speedup up to 1.97x, 2.93x, and 16.91x(1.28x, 1.23x, and 2.31x on average), respectively, compared to current most performant frameworks.Comment: 12 pages, 14 figure

Style Separation and Synthesis via Generative Adversarial Networks

Style synthesis attracts great interests recently, while few works focus on its dual problem "style separation". In this paper, we propose the Style Separation and Synthesis Generative Adversarial Network (S3-GAN) to simultaneously implement style separation and style synthesis on object photographs of specific categories. Based on the assumption that the object photographs lie on a manifold, and the contents and styles are independent, we employ S3-GAN to build mappings between the manifold and a latent vector space for separating and synthesizing the contents and styles. The S3-GAN consists of an encoder network, a generator network, and an adversarial network. The encoder network performs style separation by mapping an object photograph to a latent vector. Two halves of the latent vector represent the content and style, respectively. The generator network performs style synthesis by taking a concatenated vector as input. The concatenated vector contains the style half vector of the style target image and the content half vector of the content target image. Once obtaining the images from the generator network, an adversarial network is imposed to generate more photo-realistic images. Experiments on CelebA and UT Zappos 50K datasets demonstrate that the S3-GAN has the capacity of style separation and synthesis simultaneously, and could capture various styles in a single model

Astragaloside IV Protects Rat Cardiomyocytes from Hypoxia-Induced Injury by Down-Regulation of miR-23a and miR-92a

Background/Aims: Astragaloside IV (AS-IV), a traditional Chinese medicine isolated from Astragalus membranaceus, has been shown to exert cardioprotective effect previously. This study aimed to reveal the effects of AS-IV on hypoxia-injured cardiomyocyte. Methods: H9c2 cells were treated with various doses of AS-IV for 24 h upon hypoxia. CCK-8 assay, flow cytometry/Western blot, and qRT-PCR were respectively conducted to measure the changes in cell viability, apoptosis, and the expression of miR-23a and miR-92a. Sprague–Dawley rats were received coronary ligation, and were administrated by various doses of AS-IV for 14 days. The infarct volume and outcome of rats followed by ligation were tested by ultrasound, arteriopuncture and nitrotetrazolium blue chloride (NBT) staining. Results: We found that 10 μg/ml of AS-IV exerted myocardioprotective effects against hypoxia-induced cell damage, as AS-IV significantly increased H9c2 cells viability and decreased apoptosis. Interestingly, the myocardioprotective effects of AS-IV were alleviated by miR-23a and/or miR-92a overexpression. Knockdown of miR-23a and miR-92a activated PI3K/AKT and MAPK/ ERK signaling pathways. Bcl-2 was a target gene for miR-23a, and BCL2L2 was a target gene for miR-92a. In the animal model of myocardial infarction (MI), AS-IV significantly reduced the infarct volume, ejection fraction (EF), shortening fraction (FS) and LV systolic pressure (LVSP), and significantly increased left ventricular end-diastolic internal diameter (LVEDd). And also, the elevated expression of miR-23a and miR-92a in MI rat was reduced by AS-IV. Conclusion: AS-IV protected cardiomyocytes against hypoxia-induced injury possibly via down-regulation of miR-23a and miR-92a, and via activation of PI3K/AKT and MAPK/ERK signaling pathways