Due to the excellent advantages of high speed and precision, fast tool servo (FTS) system driven by piezoelectric actuators has great attraction for high-quality machining microstructural array. However, its complex hysteresis nonlinearity at will greatly affect accuracy stability FTS system. Therefore, a stable autoregressive moving average (SARMA) model is proposed in this paper, which aims describe dynamic accurately. First, long residual calculation method used determine order test...

Identification of operons in the hyperthermophilic archaeon Pyrococcus furiosus represents an important step to understanding regulatory mechanisms that enable organism adapt and thrive extreme environments. We have predicted P.furiosus by combining results from three existing algorithms using a neural network (NN). These use intergenic distances, phylogenetic profiles, functional categories gene-order conservation their operon prediction. Our method takes as inputs confidence scores...

Fault diagnosis of rolling bearings can effectively prevent sudden accidents and is an important factor for the safe operation mechanical systems. However, traditional time–frequency analysis techniques cannot obtain fault feature information. In this paper, a flat variational modal decomposition denoising method based on wavelet transform proposed to solve susceptibility vibration signal noise interference easily features. method, first, series mother wavelets with different periods are...

Continuous, smooth, and highly linear displacement output with centimeter-scale stroke nanometer-scale resolution is greatly attractive for an ultraprecision positioning system. On the foundation of piezoelectric actuation compliant mechanism, a novel piezomotor minimized backward nonlinear motion property designed. Specifically, driving unit capable <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math...

Flexure nanopositioner is usually utilized to compensate the alignment deviation in process of micro/mini LED chip repairing.However, thermal distortion effect always reduces accuracy precision positioning system, which will seriously affect repairing quality. The motivation this article develop a novel decoupled flexure with self-elimination function. performance achieved via three flexible connection modules (FCM), stress can be automatically eliminated. First design, modeling, and...

Tens of thousands work-related injuries and deaths are reported in the construction industry each year, a high percentage them due to workers not wearing safety equipment. In order address this issue, it is particularly necessary automatically identify people detect characteristics personnel at same time prefabricated building. Therefore, paper proposes depth feature detection algorithm based on Extended-YOLOv3 model. On basis YOLOv3 network, security recognition network transmission added...

This paper presents an algorithm for detecting and ‘correcting’ sequencing errors that occur in DNA coding regions. The types of addressed are insertions deletions (indels) bases. goal is to provide a capability which makes single-pass or low-redundancy sequence data more informative, reducing the need high-redundancy gene identification characterization purposes. would permit improved efficiency reduce genome costs. detects by discovering changes statistically preferred reading frame within...

The nanopositioning stage with a piezoelectric driver usually compensates for the nonlinear outer-loop hysteresis characteristic of effect using Prandtl-Ishlinskii (PI) model under single-ring linear voltage, but cannot accurately describe characteristics inner-loop reciprocating voltage. In order to improve accuracy nanopositioning, this study designs double-parallel guiding mechanism. On basis classical PI model, firstly identifies rate tangent slope mark points, then segments and finally...

We present a new computational method for the prediction of orthologous gene groups microbial genomes based on co-occurrences homologous genes. The is inspired by observation that genes are highly likely to be if their neighboring also homologous. Based genes, we have grouped (predicted) operons 77 selected sequenced so same group functionally similar or related. then cluster in operon terms sequences and functions, i.e., they predicted By comparing our with COG assignments NCBI annotations,...

This paper proposes a novel high-bandwidth control scheme of piezo-actuated nanopositiong stages. Firstly, an integral resonant controller (IRC) is added into the standard PI as damping to reduce impact unmodeled dynamics and improve system ratio some extent. Then, inner input shaper (IS) feed-forward designed suppress vibration arising from poor performance IRC controller. Experimental results demonstrate that combining with (PI+IRC+IS) can bandwidth by 2.5 times more than PI+IRC 8 control.

An AI-based system for gene recognition in Drosophila DNA sequences was designed and implemented. The consists of two main modules, one coding exon single model construction. module finds a by its splice junctions (or translation start) potential. core this is set neural networks which evaluate an candidate the possibility being true using "recognized" junction signals. process four steps: generation pool, elimination improbable candidates heuristic rules, evaluation trained networks,...

In this paper, a Stewart’s positive solution optimization model is proposed, for obtaining the complex to forward kinematics problem, considering existence of multiple solutions. The converts problem into an in which value objective function used represent precision solution. A self-aggregating moth–flame algorithm (SMFO) improve accuracy Two features were added conventional MFO obtain more stable balance between global and local explorations. First, Gaussian distribution was flame...

摘要: 渗透率是多孔介质的重要属性,衡量多孔介质对流体的阻碍能力。现有渗透率计算方法如有限体积法(Finite volumemethod,FVM)、格子玻尔兹曼(Lattice Boltzmann method,LBM)等有计算耗时缺点。因此,基于深度学习研究了多孔介质渗透率的快速预测。利用X射线断层扫描成像技术获得了40个真实多孔介质图像,利用人工合成多孔介质的方法扩充400个图像。在孔隙尺度上,利用传统有限体积法模拟制作了图像的渗透率。数据集共440套,按照9∶ 1划分了训练集和验证集。建立深度学习网络并进行渗透率预测。训练完成的网络在验证集上表现良好,误差在±15%内。结果表明,在渗透率预测速度上,深度学习网络预测时间是传统有限体积法的25%左右。验证了直接从图像到渗透率映射的可行性,同时也有助于理解孔隙与渗透率的关系。

In laminography imaging, the laminographic tilt angle is an important factor that affects reconstruction result. However, optimal was mainly estimated from experience in current research. this article, estimation approach for measuring quantity information of projections has been proposed, which based on entropy pixel grayscale distribution. The correlation reconstructed image quality and analyzed quantitatively by method. way, a solution proposed seeking angle, aims to improve layers....

Assembly deformation is one of the most important factors in aircraft thin-walled parts’ riveting, which determines plane’s fatigue life and assembly quality. Firstly, A new type automatic drilling &amp; riveting system used for aircraft’s panel component was studied designed based on function modular theory. It includes designing, modeling assembling by using PRO/E software. Then, Rivet’s stressed analyzed through finite element analysis. also explored law force changed whole process it can...

Insertion and deletion (indel) sequencing errors in DNA coding regions disrupt DNA-to-protein translation frames, hence make most frame-sensitive recognition approaches fail. This paper extends the authors' previous work on indel detection "correction" algorithms, presents a more effective algorithm for localizing indels that appear "correcting" located by inserting or deleting bases. The localizes discovering changes of preferred frames within presumed regions, then "corrects" them to...

The edge-weighted centroidal Voronoi tessellation (EWCVT) algorithm has been proved to be very efficient for image segmentation, especially when segmenting images with strong noise. However, the objects segmented consist of special or complex small-scale structures, e.g. pores in a core CT image, EWCVT might fail identify them from noisy background. In this work, we propose two modifications extend its ability full small structures. proposed model and encode kinds prior information: local...

We have recently developed a computational capability for (a) inference of individual response networks and (b) global transcription regulation in Synechococcus sp. WH8102. The overall framework can be summarized as follows. employs template-based network strategy. Under this framework, we first identify organisms that are known to similar systems sp particular stimulus, large quantity experimental data available, particularly microarray gene expression data. For each such "template"...