The development of renewable energy and the construction a comprehensive system with multiple complementary sources have gradually become main direction China’s development. As penetration rate increases, intermittent fluctuating output wind solar power has more significant impact on system. This article conducts research optimization configuration integrated (IES) considering photovoltaic uncertainty under ladder carbon trading mechanism. Firstly, two-stage distributed robust (DRO) model...

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">S</i> uper- xmlns:xlink="http://www.w3.org/1999/xlink">R</i> esolution from a single motion xmlns:xlink="http://www.w3.org/1999/xlink">B</i> lurred image (SRB) is severely ill-posed problem due to the joint degradation of blurs and low spatial resolution. In this article, we employ events alleviate burden SRB propose an xmlns:xlink="http://www.w3.org/1999/xlink">E</i> vent-enhanced (E-SRB)...

In this paper, we propose a visible light communication (VLC)-based indoor positioning system (IPS) and algorithm using dual-tone multi-frequency (DTMF) technique. Compared with the existing VLC-based IPS algorithms, our does not need clock synchronization to separate signals from different time slots. With simple procedures, coarse position or specific of mobile can be obtained by analyzing both frequency domain received signal. The simulation result shows that average error is 18 mm at...

Synthetic aperture imaging (SAI) is able to achieve the see through effect by blurring out off-focus foreground occlusions and reconstructing in-focus occluded targets from multi-view images. However, very dense extreme lighting conditions may bring significant disturbances SAI based on conventional frame-based cameras, leading performance degeneration. To address these problems, we propose a novel system event camera which can produce asynchronous events with extremely low latency high...

Even though the collaboration between traditional and neuromorphic event cameras brings prosperity to frame-event based vision applications, performance is still confined by resolution gap crossing two modalities in both spatial temporal domains. This paper devoted bridging increasing for images, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i.e.</i> , motion deblurring, events, super-resolving, respectively. To this end, we introduce...

High Dynamic Range (HDR) images can be reconstructed from multiple Low (LDR) using existing deep neural network (DNN) techniques. Despite notable advancements, DNN-based methods still exhibit ghosting artifacts when handling LDR with saturation and significant motion. Recent Diffusion models (DMs) have been introduced in HDR imaging, showcasing promising performance, especially achieving visually perceptible results. However, DMs typically require numerous inference iterations to recover the...

Although synthetic aperture imaging (SAI) can achieve the seeing-through effect by blurring out off-focus foreground occlusions while recovering in-focus occluded scenes from multi-view images, its performance is often deteriorated dense and extreme lighting conditions. To address problem, this paper presents an Event-based SAI (E-SAI) method relying on asynchronous events with extremely low latency high dynamic range acquired event camera. Specifically, collected are first refocused a...

According to the feature of direction fractures in image logging, a method fracture detection logging based on directional filtering is presented this paper. The filtered by corresponding filter local fractures, which enhances traces logging. final are extracted combination results both and threshold segmentation. Experimental show effectively detect

With the rapid development of Chinese economy, power industry is playing a more and important role in economy. The optimal reactive system plays an voltage stability reducing loss active power. calculation results particle swarm optimization algorithm, oriented search algorithm PSO-OSA hybrid compared, performance proposed method has been tested on IEEE 30-bus systems this paper. simulation show that able to produce well distributed Pareto solutions for problem.

Sensor Planning Service (SPS) is a critical web service in Web, given its complexity of feasibility check. This paper dedicated to design scalable GetFeasibility outside the SPS determine plan with certain theme regarding an earth observation satellite sensor. To enables scalability service, logic part GetFeasibility, we construct mapping between sensor capability and task. Time-window, intended applications weather circumstance have been taken into consideration achieve more reasonably...

Bimodal objects, such as the checkerboard pattern used in camera calibration, markers for object tracking, and text on road signs, to name a few, are prevalent our daily lives serve visual form embed information that can be easily recognized by vision systems. While binarization from intensity images is crucial extracting embedded bimodal few previous works consider task of blurry due relative motion between sensor environment. The result loss quality thus degrade downstream applications...

Hybrid models have shown impressive performance for streamflow simulation, offering better accuracy than process-based hydrological (PBMs) and superior interpretability deep learning (DLMs). A recent paradigm modeling, integrating DLMs PBMs within a differentiable framework, presents considerable potential to match the of while simultaneously generating untrained variables that describe entire water cycle. However, this framework has mostly been verified in small unregulated headwater basins...

Sparse recovery (SR) based on spiking neural networks has been shown to be computationally efficient with ultra-low power consumption. However, existing spiking-based sparse (SSR) algorithms are designed for the convex <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\ell _{1}$</tex-math></inline-formula> -norm regularized SR problem, which often underestimates true solution. This paper proposes an adaptive...

Which the distortion elements appear in optimization process and result may be a partial optimum solution are two disadvantages when using ESO method to optimize 2-D model. In this paper, algorithms proposed for solving these disadvantages. One is filtering deleting algorithm based on traits of elements. Using algorithm, only one parameter needed control deleting, determined by number linked around The other interval approximation algorithm. Minimum initial rejection ratio RR 0min which...