In this paper, the block decoupling of Boolean control networks is investigated via solving logical matrix equations. First, definition proposed. Second, problem equivalently converted into solvability a set Subsequently, approaches to solve these equations are designed, based on which suitable coordinate transformations and open-loop controllers can be determined. Finally, an illustrative example given show effectiveness main results.

Crowd counting is a considerable yet challenging task in intelligent video surveillance and urban security systems. The performance has been significantly boosted along with the springing up of convolutional neural networks (CNNs). However, accurate efficient crowd congested scenes remains under-explored due to scale variation cluttered background. To address these problems, we propose biologically inspired method named group-split attention network (GSANet). GSANet consists three principal...

Super-resolution (SR) technology plays a crucial role in improving the spatial resolution of remote sensing images so as to overcome physical limitations spaceborne imaging systems. Although deep convolutional neural networks have achieved promising results, most them overlook advantage self-similarity information across different scales and high-dimensional features after upsampling layers. To address problem, we propose hybrid-scale hierarchical transformer network (HSTNet) achieve...

Abstract This paper is devoted to the input‐output decoupling problem of Boolean control networks (BCNs). First, a necessary and sufficient condition for existence comparable output subspaces obtained as well an algorithm construct subspaces. Then, two kinds controllers are designed solve problem, including open‐loop controller state feedback controller. Finally, example given illustrate effectiveness proposed method.

Dynamic light scattering (DLS) is a popular method of particle size measurement, but at ultra-low concentrations, the occurrence number concentration fluctuations limits use technique. Number add non-Gaussian term to scattered intensity autocorrelation function (ACF). This leads an inaccurate distribution (PSD) being recovered if normal DLS analysis model used. We propose two methods for inverting data and recovering PSDs when are apparent. One directly establish relationship between ACF PSD...

This article proposes a dimensionality reduction approach to study the output regulation problem (ORP) of Boolean control networks (BCNs), which has much lower computational complexity than previous results. First, an auxiliary system is smaller in scale augmented constructed. By analyzing set stabilization as well original BCN, necessary and sufficient condition detect solvability ORP presented. Second, method design state feedback controls for proposed. Finally, two biological examples are...

Abstract The discriminative correlation filter (DCF)-based tracking methods have achieved remarkable performance in visual tracking. However, the existing DCF paradigm still suffers from dilemmas such as boundary effect, degradation, and aberrance. To address these problems, we propose a spatio-temporal joint aberrance suppressed regularization (STAR) tracker under unified framework of response map. Specifically, dynamic regularizer is introduced into to alleviate effect simultaneously....

In this paper, we propose a new crowd analysis method fusing deep learning network and compressive sensing for violent behavior detection. To aim, novel hybrid random matrix (HRM) is constructed proved to satisfy the restricted isometry property. The high-dimensional features can be projected low-dimensional space via HRM. Furthermore, neural developed extracting behaviour representations based on reduced dimension features. Finally, learnt are used classification. Experimental results...

Temperature and humidity controlling system which has the function of alarm memory was designed by PROTEUS software. The MCU AT89C51 used to control whole system. temperature sensor SHT11 as data collector. compare collecting with their normal value decide whether modifying or not. software do simulation evaluate design's feasibility stability. So debugging time in objective hardware reduced, development process accelerated.

In this paper, the full-order observer and functional oberver design for a class of discrete-time nonlinear systems with one-sided Lipschitz constraint is considered. The sufficient conditions existence both kinds observers are obtained. One numerical example shown to illustrate given methods.

Images captured in a low-light environment are strongly influenced by noise and low contrast, which is detrimental to tasks such as image recognition object detection. Retinex-based approaches have been continuously explored for enhancement. Nevertheless, Retinex decomposition highly ill-posed problem. The estimation of the decomposed components should be combined with proper constraints. Meanwhile, mixed causes unpleasant visual effects. To address these problems, we propose Constraint...

Abstract This paper investigates the existence and convergence of weighted Nash equilibrium for incomplete‐profile networked evolutionary games with multiple payoffs. First, game under probabilistic myopic best response adjustment rule is transformed into an algebraic form based on semi‐tensor product matrices. Second, a method calculating presented, relationship between positive‐probability fixed point derived. Furthermore, criterion provided to verify whether profiles in feasible profile...

Abstract The minimum time control that steers a large‐scale Boolean network with constraints from an initial state to given is investigated. This problem studied under the partition of networks. Based on that, converted finding for each subnetwork. Hence, small size networks considered firstly. Then, method solve presented. Finally, numerical example T‐cell receptor kinetics show effectiveness main results.