Unmanned aerial vehicle (UAV)-aided Wireless Rechargeable Sensor Network (WRSN) is a promising application in providing sustainable power supply to the rechargeable sensor nodes (SNs). Constructing trajectory for UAV traverse all SNs with cheapest cost an important issue UAV-aided WRSN. Although some exact algorithms and heuristic methods have been proposed, they cannot achieve superb result large-scale scene within tolerable time. In this paper, we study UAV`s optimization problem from...

Abstract The Ebinur Lake watershed is an important ecological barrier for environmental changes in the Junggar Basin Xinjiang Uygur Autonomous Region (XUAR). Due to tremendous underlying surface environment of past few decades, has become a typical region degradation. Drought affects dynamics and characterizes regional dry wet environments, while dynamic variation lakes vegetation are indicators land surfaces. Thus, quantitative assessment response drought conditions at multiple temporal...

This article studies multiple unmanned aerial vehicles (multi-UAVs)-enabled wireless-powered Internet of Things (IoT), where a group UAVs is dispatched as mobile power sources to charge set ground IoT devices. Different from the conventional radio-frequency (RF) wireless transfer (WPT) systems, magnetic resonance-coupled (MRC) WPT systems can guarantee high efficiency without complete alignment, which remarkable. In this article, we extend charging range by wired connection between energy...

Unlike conventional scalar sensors, camera sensors at different positions can capture a variety of views an object. Based on this intrinsic property, novel model called full-view coverage was proposed. We study the problem that how to select minimum number guarantee for given region interest (ROI). To tackle issue, we derive constraint condition sensor neighborhood with nodes around point. Next, prove area be approximately guaranteed, as long regular hexagons decided by virtual grid are...

Due to the small size, low cost, and autonomous nature, unmanned aerial vehicles (UAVs) have attracted growing attention in improving traditional networks' performance. This paper considers a multi-UAV enabled large-scale wireless recharge networks, where group of UAVs is dispatched as mobile power transfer, information collection systems serve set ground low-power sensor nodes. Specifically, employ radio frequency (RF) transfer (WPT) supply energy towards nodes, communication services are...

Drought disasters significantly threaten the stability of terrestrial ecosystems in arid and semi-arid regions. Although impact drought on vegetation has been extensively researched, there is still a lack understanding regarding ecological impacts heterogeneous northern China's To investigate spatial patterns differences response to climate, Normalized Difference Vegetation Index (NDVI) Standardized Precipitation Evapotranspiration (SPEI) were used determine characteristics seasonal...

Powered by advanced deep-learning technology, multi-spectral image super-resolution methods based on convolutional neural networks have recently achieved great progress. However, the single hyperspectral remains a challenging problem due to high-dimensional and complex spectral characteristics of data, which make it difficult for general 2D simultaneously capture spatial prior information. To deal with this issue, we propose novel Feedback Refined Local-Global Network (FRLGN) image. be...

This paper had proposed an automatic segmentation method to detect defects on citrus surface eroded by diseases and pests based circularity threshold segmentation. A visible imaging system was built fruits were shot this system. The chromatic aberration map of GB components obtained, a used separate from healthy regions fruit surface. erosion coefficient quantify the degree or pests. With respect global Otsu method, performance improvement in up 15.58%. algorithm can accurately, rapidly, it...

Building segmentation for remote sensing images usually requires pixel-level labels which is difficult to collect when the are in low resolution and quality. Recently, weakly supervised semantic methods have achieved promising performance, only rely on image-level each image. However, buildings tend present regular structures. The lack of supervision information may result ambiguous boundaries. In this paper, we propose a new network refined building by mining cross-domain structure affinity...

In the internet of battlefield things, ammunition is becoming networked and intelligent, which depends on location information. Therefore, this paper focuses self-organized network collaborative localization munitions with an aerial three-dimensional (3D) highly-dynamic topographic structure under a satellite denied environment. As for munitions, measurement objectively incomplete due to degenerated interrupted link munitions. For reason, cluster-oriented method put forward in paper....

Crop water requirement is very important for cycle and a determinant factor the accurate estimation of heat flux in Soil-Plant-Atmosphere Continuum (SPAC). In arid regions, quantitative crop base appraising terrestrial NPP, regional consumption, soil transport, production, land use under changing climate. this study, we selected middle reaches Heihe river basin as study area estimated 2009 SEBS model, remote sensing data (MOD021KM MOD03, MOD 09GA) phenological data. ΓWe found that: 1) model...

Agricultural cultivation is always a global hot topic in agricultural and environmental sciences. The process of Guishui river basin, China from 1978 to 2009 was studied based on landscape ecology principles with six Landsat images. A new expansion index (LEI) proposed quantitatively indicate size farmland patches, identify their spatial patterns (adjacent pattern external pattern). primary conclusions were as follows. First, the most expanding patches adjacent for approximately 30 years,...

In this paper, we consider a data collection problem using an unmanned aerial vehicle (UAV) where the Internet of Things (IoT) is damaged. Different from previous work, paper concerned with communication delay collected information for that outdated would optical time to save lives and property. We study delay-sensitive trajectory design in damaged IoT networks, UAV dispatched collect ground devices. The refers interval between times-tamps arrives at device returns base station. formulate as...

In this paper, research on effect of turbulence to optical communication through the analysis atmospheric turbulence, and display plot in time. This is very important optimize capability communication.

The aggregated equivalent machine is commonly utilized to represent the electromechanical dynamics of wind farm. When lacking accurate parameters each individual machine, it necessary identify based on measured data, but requires multiple simulations and very time-consuming. To alleviate this problem, paper proposes a parameter identification method reinforcement learning. differential-algebraic equations doubly-fed induction generator are generate corresponding abstract simulation model for...

In recent years, view of the lacks an effective algorithm-integrating mechanism and a friendly graphical user interface toolkits in field medicine image processing analyzing, authors designed implemented software system imaging (SOMI) based on Java 2 Platform Enterprise Edition (J2EE). A reconstruction visualization module for slice-data was system, which provided workflow to integrate series algorithms tools. This can realize analysis, 3D Visual Chinese Human. Having flexible extensible...

In order to realize the control of spaceborne microwave radar with high accuracy, long service term and reliability, this paper designed a driving controller for direct driven permanent magnet synchronous motor(PMSM) based on aerospace-level anti-fuse FPGA. The mathematical model structure is built, frequency response characteristics each ring are analyzed. least squares method adopted calculating speed, which has increased accuracy in speed. vector PMSM realized by combining location...