In the existing acoustic emission (AE) localization methods, estimation method based on time difference of arrival (TDOA) has less computation and higher accuracy positioning is easy to implement real-time systems thus it becomes a commonly used in source methods. this method, most important thing delay (TDE) that directly affects positioning. paper, we analyze performance several weighting functions generalized cross-correlation time-delay algorithm give simulation results. By comparison,...

Crowd counting and analyzing its distribution is a challenging video surveillance application. In this paper, totally novel, end-to-end way to estimate the crowd number under complicated scenes proposed. For purpose, we apply conditional adversarial networks translate input image density map. The generative model trained with corresponding image. proposed method avoid design of complex CNN architecture extract specific property features. Besides, no more data augmentation needed in our...

According to statistics, in the worldwide, industrial electricity consumption accounts for about 70% of total consumption. The power motor drive system is 60%∼70% When using variable frequency system, energy saving effect up 20%∼40%, High efficiency design induction conducive improve energy-saving whole system. In this paper, a 55kW was analyzed as an example. Based on analysis composition and main influence factors loss, optimize slot type winding type. Propose efficient method motor. A...

As an important machine learning method, deep reinforcement (DRL) has been rapidly developed in recent years and achieved breakthrough results many fields, such as video games, natural language processing, robot control. However, due to the inherit trial-and-error mechanism of time-consuming training neural network itself, convergence speed DRL is very slow consequently limits real applications DRL. In this article, aiming improve DRL, we proposed a novel Steffensen value iteration (SVI)...

Controversial roles of interleukin-33 (IL-33) have been reported in melanoma from animal studies. We aimed to investigate the role IL-33 human cutaneous melanoma. RNA-seq data 471 cases were retrieved The Cancer Genome Atlas. tumor microenvironment (TME) was deconstructed by xCell algorithm using data. evaluated prognostic value and relationship between immune components TME. also inferred potential cellular sources IL-33. All analyses conducted separately three sub-cohorts, which are based...

It is a challenging task to reconstruct human pose from millimeter wave (mmWave) radar point clouds due their sparsity and sensitivity multipath noise. In order enhance the inference ability of deep learning models in processing sparse clouds, paradigm with spatial temporal multi-scale constraints proposed, utilizing prior relationships skeletal structure joint movements both time space constrain sequences. Specifically, proposed constraint block learns joints using three different scales:...

Locating human joints using low-cost commercial millimeter-wave (mmWave) radars is an emerging technology. Compared to single-view radar, dual-view radar fusion more efficient for robust arm gesture pose tracking since it can capture a wider area of reflection and radial velocity in both directions. One challenging task effectively utilize the points' spatial information focus perceptual cues related joint position accurate tracking. In this article, we propose transformer (MPTFormer),...

MicroRNAs (miRNAs) can participate in plant-insect interactions, which regulate plant defense networks. In this study, we analyzed the miRNA expression profiles of six rice varieties before and after brown planthopper (BPH)-feeding. We identified 45 differentially expressed miRNAs between BPH- susceptible BPH-resistant 144 that responded to BPH-feeding. Thus, may be involved multiple pathways regulating response against BPH. addition, found genetic history determined regulation mode affected...

To study the effects of tectonic stress environment on tectonophysical features deformed coal, No.8 Mine in Pingdingshan mine area is used as a and relationship between development distribution fractures, formation coal are analyzed. The results indicate that thickness bedrock layer should be included analysis for region intense activity. Although reverse faulting regime can control C seam extremely sensitive to regime. most advantageous direction fractures consistent with regional maximum...

Nowadays the unmanned aerial vehicle (UAV) has been widely used in civilian and military fields, such as target search tracking, owing to its small size unique flexibility. Although visual tracking technology made remarkable progress, it is still a challenging problem achieve robust stable due various factors actual complex environment. Firstly, this paper introduces research status of reviews some classical latest UAV algorithms, especially single-UAV multi-UAV cooperative algorithms. Then,...

In order to enhance the performance of composite field multiplications (CFM) realized by RISC processors and VLIW processors, high-performance flexible special instructions targeted at cryptographic algorithms processing are designed in this paper. Through analyzing characteristics CFM operations different algorithms, proposed can support GF(2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">8</sup> )...

Interactive search can provide a better experience by incorporating interaction feedback from the users. This significantly improve accuracy as it helps avoid irrelevant information and captures users' intents. Existing state-of-the-art (SOTA) systems use reinforcement learning (RL) models to incorporate interactions but focus on item-level feedback, ignoring fine-grained found in sentence-level feedback. Yet such requires extensive RL action space exploration large amounts of annotated...

Research into utilizing deep learning for medical tasks involving pathological images has garnered growing interest. Nevertheless, the substantial dimensions and intricate multi-layered attributes of notably augment complexity image processing models. To tackle these challenges further bolster prediction targeted therapy outcomes HER2-positive breast cancer, we present multiMSnet, an innovative framework designed precise treatment in cancer patients. Our model leverages two sophisticated...