Remote sensing satellite images with a high spatial and temporal resolution play crucial role in Earth science applications. However, due to technology cost constraints, it is difficult for single achieve both resolution. The spatiotemporal fusion method cost-effective solution generating dense data In recent years, image based on deep learning has received wide attention. this article, multiscale feature extraction channel attention mechanism proposed. Firstly, the uses fully utilize...

Mobile edge computing (MEC) has been recognized as a promising technique which provides mobile devices (MDs) with enhanced computation capability. In this paper, we consider multi-user, multi-server MEC system consists of number MDs and multiple base stations (BSs) deployed servers. We assume that tasks can be executed locally at the or offloaded to Further each server may execute for MDs, however, sharing one should scheduled sequentially. jointly study task offloading scheduling scheme...

Mobile-edge computing (MEC) has been recognized as a promising technique to provide wireless user equipments (UEs) with enhanced computation capability. In this paper, we consider an MEC cellular system, which consists of number base stations (BSs) and UEs. We suppose that each BS is equipped server offers offloading service for Considering the fairness among UEs in task execution, formulate problem min-max worst-case design minimizes maximal execution time all To solve optimization problem,...

Spatiotemporal fusion is an effective and cost-effective method to obtain both high temporal resolution spatial images. However, existing methods do not sufficiently extract the deeper features of image, resulting in fused images which recover good topographic detail poor quality. In order higher quality spatiotemporal images, a novel based on deep learning proposed this paper. The combines attention mechanism multiscale feature network design that more scientifically explores image for...

A detailed evaluation of the Li(Si)/LiCl-LiBr-LiF/CoS2 electrochemical system and Li(Si)/LiCl-LiBr-LiF/FeS2 one is undertaken. Test results show that internal resistance batteries based on cobalt disulfide (CoS2) cathode 24% less than iron (FeS2) cathode, peak voltage in parallel 17 cells CoS2 32.3V, but 33.5V. The performance comparison thermal was evaluated at 25°, -47°, +62°, respectively. discharge curves different temperature almost lap over.

In order to enhance the effects of license plate recognition in intellectual transport domain, this article carries out positioning, partitioning and characteristics extracting on images that have been collected, so as realize function character recognizing. boost contrast a reduce noises, methods gray degree reinforcing filtering treating are adopted carry transformation, accurately position location characters, adopt Ostu algorithm work global threshold value, extract image edges, make...

Spatiotemporal fusion is a simple, feasible, and economical method for balancing the temporal spatial resolutions of satellite images. However, current spatiotemporal methods have some disadvantages, such as their insufficient feature extraction abilities unsatisfactory image effects. To obtain higher-quality images, data based on deep learning proposed. This combines an attention mechanism residual strategy to design asymmetric channel network (SCRNet). For different input SCRNet extracts...

Dumbbell fabrication is a midprocess for manufacturing an elliptical superconducting rf cavity. In order to understand how welding shrinkage affects dumbbell's frequencies and length, we need measure the exact of each individual half cell dumbbell. To improve such calculation precision simplify formulae, based on two-coupled oscillator model cavity perturbation theory, new formula calculate half-cell dumbbell or two-cavity coupling system has been developed, its performance confirmed by...

In this paper, we consider a mobile edge computing (MEC) system consisting of number MEC servers and devices (MDs) where each MD generates series subtasks characterized by their dependency relationships. Stressing the worst case performance optimization, examine maximal completion time all subtasks, formulate joint computation offloading scheduling problem as minimization problem. As original optimization cannot be solved conveniently, propose heuristic algorithm which successively designs...

Multi-stage synchronous induction coil launcher (MSSICL) uses multi-stage drive coils to accelerate projectile. It can launch projectile of great mass. Because every has an optimal trigger time, the accurate control time ensure large muzzle velocity. With increase projectile's velocity, acceleration between different stages in decreases, making more difficult. In this paper, a method software is proposed. Simulation result shows that allow for greater accuracy and response speed, effectively...

Automatic detection of image damaged regions is the key to automatic video inpainting. Vertical scratches are common damages in old film. In this paper, a vertical algorithm based on edge proposed. The proposed first uses operator which has largest response Sobel detect edges, and then canny edges further. Third, we lines through probabilistic Hough transform. Finally, obtain true locations morphology width constraints. Many experiments show that our method can line effectively...

Deep learning has been widely used in various computer vision tasks. As a result, researchers have begun to explore the application of deep for pansharpening and achieved remarkable results. However, most current methods focus only on mapping relationship between images lack overall structure enhancement, do not fully completely research optimization goals fusion rules. Therefore, these problems, we propose generative adversarial network with multilevel enhancement multistream architecture....

Nowadays, remote sensing images are widely used in many fields. To obtain high-quality images, image fusion methods have attracted much attention. Although convolutional neural network-based pansharpening good results, these focus on the forward propagation of network, which cannot effectively seek mapping relationship between images. Moreover, it is difficult to global information due limitations operations. In this paper, we propose a method based multiscale delayed channel attention...

This paper proposes a condition monitoring method based on Dynamic Related ReliefF-SFA (DRRSFA), which solves the problem of huge variable dimensions and strong autocorrelation in process monitoring. First, samples are mapped into new space, slow projection components (SPCs) calculated. The SPCs not only considers between variables, but also characterizes inherent properties whole system. Second, feature selection algorithm ReliefF is used to select more weighted features, called principal...

In recent years, deep learning (DL) pansharpening methods have become the most popular solution for acquiring high-resolution multispectral (HRMS) images. However, DL-based design task as black-box network architecture, ignoring physical meaning of individual modules. Such a structure is difficult to extract sufficient spatial details or lacks interpretability. To address this problem, we propose neural method with interpretable detail injection based on assumption spectral consistency and...

Most image inpainting techniques require a human to identify manually the portion be inpainted. We propose new detection algorithm which can automatically detect defect portions in an image, including arbitrary scratches by color ink. The proposed is based on characteristics of uniform gray and structural information scratches. In this algorithm, we apply top-hat transform low-hap transformation highlight scratch regions use erosion- dilation operator morphology finalize Many photos are used...

The medical computed tomography (CT) technique cannot be directly applied to power equipment, such as gas-insulated switchgear (GIS), because of its huge size and immovability. In this research, a three-dimensional X-ray imaging system is developed for GIS equipment. includes machinery, motion control, data acquisition, image reconstruction display subsystems. principle based on the Radon transform inverse transform. rotary scanning device successfully collects 360 sets projection data....

A resonant buildup of beam-induced fields in a superconducting radio frequency (RF) cavity may make beam unstable or RF quench. Higher-order mode (HOM) couplers are used for damping higher-order modes to avoid such buildup. coaxial HOM coupler based on the TTF (TESLA Test Facility) has been designed cavities at Proton Engineering Frontier Project (PEFP) order overcome notch shift and feed-through tip melting issues. In confirm design finalize its structural dimensions, two prototype have...