Abstract Motivation: The high-throughput sequencing technologies have provided a powerful tool to study the microbial organisms living in various environments. Characterizing interactions can give us insights into how they live and work together as community. Metagonomic data are usually summarized compositional fashion due varying sampling/sequencing depths from one sample another. We co-occurrence patterns of using their relative abundance information. Analyzing conventional correlation...

Cardiac magnetic resonance imaging (CMRI) super-resolution (SR) reconstruction technology can enhance the resolution and quality of CMRI, providing experts with clearer more accurate information about cardiac structure function. This aids in rapid diagnosis abnormalities development personalized treatment plans. In processing existing bicubic degradation-based SR methods often suffer from performance degradation, resulting blurred images. To address aforementioned problem, we present a...

Deep neural networks with different filters or multiple branches have achieved good performance for single superresolution (SR) in recent years. However, they ignore the high-frequency components of multiscale context information low-resolution image. To solve this problem, we propose a fusing attention network based on dilated convolution (DFAN) SR. Specifically, first convolutional module (DCAM), which captures contextual from regions LR images by locking sizes receptive fields. Then,...

In the process of fault feature extraction rolling bearing, information is difficult to be extracted fully. A novel method called hierarchical dispersion entropy proposed in this paper. method, vibration signals firstly are decomposed hierarchically. Secondly, entropies different nodes calculated. Hierarchical can realize comprehensive high‐ and low‐frequency band overcome problems that multiscale insufficient extract signals. The feasibility obtained by analyzing Gaussian white noise...

Determination of a scalable Nusselt number (based on “adiabatic heat transfer coefficient”) has been the primary objective most existing experimental studies. Based assumption that wall thermal boundary conditions do not affect flow field, measurements were mostly carried out at near adiabatic condition without matching engine realistic wall-to-gas temperature ratio (TR). Recent numerical studies raised question validity this conventional practice in some applications, especially for turbine...

Radiative lifetimes of 27 levels (27 041.751–38 434.97 cm−1) in Gd I and 130.397–45 394.925 II have been measured using the time-resolved laser-induced fluorescence method. Laser ablation was used to generate atoms ions on a plate. The lifetime values range from 4.0 90 ns with an uncertainty 5% or less. Of all results, our knowledge, 23 11 are reported for first time. Good agreement between results previous ones has achieved.

A novel model of coagulant dosing control is proposed based on a fuzzy logic approach. The actual process data water treatment plant are first classified by using c-means clustering method to obtain the class center. In combination with k-nearest neighbor algorithm, premise parameter Takagi-Sugeno can be generated. Then, recursive least square used determine its consequent parameter. neural network finally employed optimize parameters initial via back propagation algorithm. modeling accuracy...

Abstract Quality‐related fault detection has become a hot research topic in recent years. It is not reliable to measure quality‐related relationships only by mutual information among process variables and single‐quality variables. Frequent alarms for quality‐unrelated faults seriously affect the normal operation of industrial production. At same time, strong nonlinearity data leads difficulty feature extraction. In this paper, we propose algorithm based on nonlinear neighborhood embedding...

Abstract Fault prediction ensures safe and stable production, cuts maintenance costs. Due to the changing operating conditions that lead changes in characteristics of industrial processes, there is a need monitor fault state batch processes real‐time accurately predict trends. An adaptive slow feature analysis‐neighborhood preserving embedding‐improved stochastic configuration network (SFA‐NPE‐ISCN) algorithm for process proposed. Firstly, SFA used extract time‐varying features data...

Radiative lifetime measurements were performed by time-resolved laser-induced fluorescence (LIF) technique for eight even-parity levels of the astrophysically important ion Er+ over energy range from 33753 to 55317 cm−1. Free erbium ions generated a plasma. A narrow bandwidth UV laser pulse (1 ns) was employed populate selectively short-lived upper levels, and value evaluated signals. The lifetimes reported fall in 3–35 ns with experimental accuracy 5–8%.

The relative casing motion can significantly influence the HP turbine blade tip aerothermal performance. existing experimental facilities either not achieve high rotating speeds, or have difficulties to gain full optical access region. In this study, spatially resolved squealer heat transfer data were obtained from Infrared thermal measurement by using a novel high-speed disk rotor rig which mimic close actual operating turbines. Mach number and Reynolds also engine realistic. Distributions...

Chilled water differential pressure of a central air conditioning system is time-varying nonlinear complex system. It difficult to achieve good control quality by using conventional PID loop. To the loop steadily and effectively, an optimal method proposed. The particle swarm optimization (PSO) algorithm neural network are used adjust parameters. Adjusting frequency frozen pump, controlled near set value. simulation results show that can be improved precision strategy, which not only meets...

In this paper the effects of quantization in an important class networked control systems called model-based (MB-NCS) are considered. The MB-NCS architecture uses explicit model plant controller order to reduce network traffic, while attempting prevent excessive degradation. That is, data transmitted represent areas within a region where state and known be. Simulation examples used throughout illustrate main results.

VAV air conditioning system has complex structure, huge scale, many variables, strong coupling and various uncertainties. The traditional automatic control methods adopt the method that controlled parameters of are fixed, which can satisfy stable operation system, but it will bring a great waste energy. In this paper, optimization objectives constraints to minimize energy consumption proposed, model central is established. objective minimum consumption.It meet comfort stability, reduce...