As one kind of key components with enormous quantities and diversities, the bent tube parts satisfy increasing needs for lightweight high-strength product from both materials structure aspects. The tubes have been widely used in many high-end industries such as aviation, aerospace, shipbuilding, automobile, energy health care. bending has become manufacturing technologies forming. Via analysis characteristics multiple defects, advances on exploring common issues are summarized regarding...

With the increasing maturity of optics and photonics, hyperspectral technology has also greatly advanced. Hyperspectral images composed hundreds adjacent bands containing useful information can be easily obtained. However, unlike ordinary remote sensing images, each sample in high-dimensional features contains rich spatial spectral information, which increases difficulty feature selection mining, computational complexity, limits recognition accuracy model. Therefore, this letter, a novel...

In recent years, learning algorithms based on deep convolution frameworks have gradually become the research hotspots in hyperspectral image classification tasks. However, process, high-dimensionality problems with large amounts of data and feature redundancy interspectral correlation images not been solved efficiently. Therefore, this paper investigates dimensionality reduction extraction proposes a novel multiscale dense cross-attention mechanism algorithm covariance pooling (MDCA-CP) for...

Abstract This study presents an in-depth review of non-dispersive infrared (NDIR) sensors for methane detection, focusing on their principles operation, performance characteristics, advanced signal processing techniques, multi-gas detection capabilities, and applications in various industries. NDIR offer significant advantages sensing, including high sensitivity, selectivity, long-term stability. The underlying involve measuring the absorption radiation by target gas molecules, leading to...

To improve the forming quality and limit of numerical control (NC) bending high-pressure titanium alloy tubes, in this study, using three-dimensional (3D) finite element method, deformation behavior medium-strength TA18 tubes during NC with different radii is investigated. The results show that cross-sectional wall thickness variation a small radius (less than 2 times tube outside diameter) are clearly from normal (between 4 diameter). For radius, or without mandrel, distribution flattening...

Gaining knowledge of the intrinsic topology a complex dynamical network is precondition to understand its evolutionary mechanisms and control functional behaviors. In this article, general framework developed recover topologies networks with completely unknown node dynamics based on Taylor expansion compressive sensing. Numerical simulations illustrate feasibility effectiveness proposed method. Moreover, method found have good robustness weak stochastic perturbations. Finally, impact two...

Active constellation extension (ACE) is one of the common algorithms for peak-to-average power ratio reduction in digital video broadcasting-second generation terrestrial (DVB-T2) systems. In this paper, we study implementation ACE algorithm DVB-T2 on field programmable gate array (FPGA) platforms. For purpose, a general hardware architecture with two parallel channels first proposed. The proposed based 16-bit fixed-point representation which can achieve tradeoff between numerical accuracy...

Plastic forming is one of enabling and fundamental technologies in advanced manufacturing chains. Design optimization a critical way to improve the performance system, exploit advantages high productivity, product quality, low production cost short time market develop precise, accurate, green, intelligent (smart) plastic technology. However, quite complicated, relating multi-physics field coupling, multi-factor influence, multi-defect constraint, triple nonlinear, etc., design for involves...

Recovering network topologies is of great significance in the study complex networks. In this paper, a method for identifying structures multilayer networks proposed via compressive sensing and Taylor expansion. By using method, with unknown node dynamical functions can be identified from relatively small number observations. Numerical experiments are provided to show effectiveness efficiency on different types networks, where intralayer topology interlayer simultaneously. particular, one...

With the development of information technology, thousands devices are connected to Internet, various types data accessed and transmitted through network, which pose huge security threats while bringing convenience people. In order deal with issues, many effective solutions have been given based on traditional machine learning. However, due characteristics big in cyber security, there exists a bottleneck for methods learning improving security. Owning advantages processing high-dimensional...

Based on fast convolution algorithm, this paper proposes improved parallel FIR filter structures for linear-phase filters where the number of taps is a multiple parallelism. The proposed not only use algorithm to reduce subfilter, but also exploit symmetric (or antisymmetric) coefficients half multiplications in subfilter section at expense additional adders preprocessing and postprocessing blocks. save large amount hardware cost from reported FFA structures, especially when length large,...