The purpose of urban water management is to improve utilization efficiency (UWUE), which in turn addresses shortages areas. present study aimed evaluate the UWUE 284 cities at prefecture level China between 2003 and 2018 by slacks-based measure super-efficiency, explore its spatial differences through exploratory data analysis, analyze influencing factors using statistical tool Geodetector. results showed that average value was generally low but tended rise gradually. There were significant...

Accurate prow detection (i.e., ship heading prediction) is important in many applications that rely on optical remote sensing imagery, such as track forecasting and maritime navigation. In recent years, advanced methods based deep convolution neural networks (DCNNs) have succeeded detecting multidirectional ships. However, these are not effective at determining the orientation, primarily due to three limitations: weak adaptability geometric transformations of targets, confusing semantic...

Recent years have witnessed rapid development and remarkable achievements on deep learning object detection in remote sensing (RS) images. The growing improvement of the accuracy is inseparable from increasingly complex convolutional neural network huge amount sample data. However, under-fitting will damage performance facing difficulty acquisition. Thus, it evolves into few-shot (FSOD). In this article, we first briefly introduce task its algorithms, to better understand basic frameworks...

As common cancer, breast cancer kills thousands of women every year. It's significant to provide doctors computer-aided diagnosis (CAD) ease their workload as well improve detection quality. Patch-level CNNs are usually used classify the tissue slice, and each patch independently ignoring spatial correlations, resulting in wrong isolated label map. However, probability distribution type is related adjacent patches. In this paper, we propose a framework integrating CNN filter algorithm aimed...

Organizations and individuals nowadays face increasing daily operations closely rely on a huge amount of private data which is outsourced to centralized server. Secure efficient processing mining such becomes primary concern for users, especially with the push cloud computing has both resource compute scalability. Among building blocks secure algorithms, scalar product used calculate sum products corresponding values two vectors. Existing privacy preserving methods assume stored at user...

In recent years, more and theaters with rotating mechanisms have been built used, such as auditoriums. The rotation mechanism in this type of building may lead to the uncertainty evacuation distances routes, which undoubtedly poses a higher challenge performance-based fire protection design. Taking revolving auditorium theater an example, paper proposes systematic method solve problem randomness scenarios. numerical simulations based on FDS Pathfinder were carried out, two improved...

Routing algorithms, which determine how to deliver traffic from the source destination, are essential for next-generation networks and internet. To make optimal routing decisions in complex network environments, researchers have leveraged Deep Reinforcement Learning (DRL) design mechanisms. However, most existing DRL-based algorithms implemented using traditional Neural Networks (NN), lack robustness against topology changes. In this paper, we propose a novel algorithm called GAPPO,...

Abstract Due to the high demand increase oil production combined with huge potential in enhancing recovery, surfactant/polymer (S/P) flooding is under increasing interest and importance recent years. Numerous studies have shown that interactions between surfactant polymer can be extremely important final displacement performance of S/P flooding, since desired effect may enhanced or degraded as various slugs become mixed underground. Nevertheless, far we know none available commercial...

To achieve higher performance, cache sizes have been steadily increasing in computer processors and network systems. But caches are often over-provisioned for peak demand underutilized typical non-peak workloads. As consume substantial power, this results significant amounts of wasted energy. address this, existing works turn off parts the when they do not contribute to performance. However, while these methods effective empirically, lack provable performance bounds. In addition, focus on...

In recent years, adversaries have been launching distributed denial of service (DDoS) attacks aimed at DNS (Domain Name System) servers in various levels, and since t he is a most critical fundamental the Internet that provides mapping between domain names IP addresses prerequisite for many other services, DDoS successfully causing unavailability could bring huge losses. this paper, we present n easily implemented practical scheme can significantly alleviate impact attacks. Firstly, propose...

Abstract Seawater flooding has recently been investigated as a new emerging method on improving oil recovery in Middle East carbonates. This paper presents mechanism study about seawater The objective of this is to identify the key controlling factors for carbonates by injection. We briefly describe analytical model Halfaya (HF) carbonate reservoir. A parameter introduced analyze salinity affecting recovery. carry out core flood experiments selected samples and formation water (166840-192450...

Ship detection is of considerable significance in both military and civilian application domains. Deep Convolutional Neural Network (DCNN) with region proposal mechanism, e.g., Faster R-CNN, performs outstandingly ship high-resolution images. However, the accuracy limitation induced by restricted training set for multi-scale target detection. Therefore, method object proposed based on saliency estimation our work. Saliency Estimation Algorithms (SEAs) are often used to extract features In...

Simultaneous Localization and Mapping (SLAM) is considered as an essential basis for autonomous robots vehicles. Visual SLAM applies visual sensors to collect information estimate the motion of sensor in unknown environment. However, it relies heavily on feature matching within images, so that quality images has a great effect efficiency. In low light intensity environment, performance estimation declines seriously. This paper presents global adaptive solution compensate condition this...

In Weglein et al. (2010) an update and status report were provided on the progress inverse scattering series (ISS) direct depth imaging without velocity model. that report, results synthetics with sufficient realism indicated field data tests warranted. This paper documents those first tests. These early are encouraging indicate ISS is possible. The next steps road between viable providing relevant differential added value to seismic tool-box described discussed.

In this paper, a microscopic oil displacement visualization experiment based on the glass etching model to simulate tight reservoir of underground rocks is carried out. At present, water flooding technology widely used in development and gas fields, remaining content still very high after flooding. It key improving recovery identify study form distribution The result shows there are five types residual flooding: columnar oil, membranous droplet blind terminal cluster oil. A convolution...

Abstract Benefiting from its outstanding gas injection-production capability and fully recoverable cushion gas, salt cavern storage technology was developed rapidly in recent years. Wangchang cave is characterized by deep burial depth multiple interlayers. The project of water-soluble cavity construction faces problem serious tubing casing bending deformation. Therefore, development effective string damage-prevention risk control method remains an ongoing challenge. Both theoretical study...

With the rapid development of spatial information technology and increasingly artificial intelligence knowledge, multi-Agent Systems plays a more important role in conducting fire behavior forecast, order to simplify complex mechanism spreading improve simulation speed, according law conservation energy, Agent model was set up.This paper ,which analyzing comprehensively some influenced factors , is concentrated on how stimulate regularity base knowledge mathematics computer ,an interactive...

Few-shot object detection (FSOD) in remote sensing images, which aims to detect never-seen objects with few training samples, has attracted wide attention. Some recent works leverage meta-learning tackle this challenging task and achieve promising performance. However, information attenuation during feature extraction simple prototype representation hamper further improvement detecting novel classes. In article, we propose a meta-learning-based FSOD approach named DPL-Net. Specially, within...

Design of an unequally spaced linear array with pencil beam and low peak sidelobe level (PSLL) is one the most important optimization problems. An antenna offers promising capacity for space division multiple access system, which also offer a robust implementation against multipath propagation effects. However, researchers have only focused on either main width or PSLL. In this paper, multi-stage differential evolutional algorithm (MSDEA) proposed to jointly optimized null (NNBW) beam, PSLL...