Video sensor networks consist of cameras to monitor targets and play an important role in monitoring analysis agriculture, security management emergency rescue, etc. However, traditional methods for camera placement result little effective area low utilization rate cameras. To solve these problems, we propose a method optimizing the spatial layout video based on genetic algorithm. First, candidate positions were selected according oblique photogrammetry 3D model. Secondly, calculated best...

With a spatial resolution of 50 m, revisit time three days, and swath 950 km, the coastal zone imager (CZI) offers great potential in monitoring dynamics. Accurate atmospheric correction (AC) is needed to exploit quantitative ocean color inversion. However, due band setting CZI, AC over waters western Pacific region with complex optical properties cannot be realized easily. This research introduces novel neural network (NN) algorithm for CZI data waters. Total 100,000 match-ups HY-1 C...

We propose an eight-spatial-mode ring-core few-mode fiber (RC-FMF), utilizing the cross-arranged different-material-filling side holes (CA DMFSH) for effective index difference improvement. Two GeO2-doped-silica and two air-filling are arranged orthogonally around ring core, which have directionally different effects on refractive mode field distribution in RC-FMF. The results indicate that (Δneff) between adjacent spatial modes is larger than 1.96×10-4, Δneff non-degenerated can be above...

This letter proposes a blind carrier frequency offset (CFO) estimator for orthogonal time space (OTFS) systems in vehicle-to-infrastructure (V2I) communications. Based on the property of signal power delay-Doppler (DD) domain being affected by CFO, minimizes difference between received and average channel DD to achieve estimation. Moreover, cost function design is theoretically justified as it optimizes performance balancing impact gain domain. According simulation results, proposed better...

Low Earth orbit (LEO) satellite communication (SATCOM) is one of the most promising systems to be incorporated in future 5G and beyond wireless networks. The combination massive multi-input multi-output (mMIMO) with LEO SATCOM can effectively enhance capacity improve system throughput. However, channel acquisition tracking are challenging due severe Doppler shift long propagation delay under channel's time-varying environment. In this work, we propose a block-based (BB) Kalman scheme for...

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Understanding the alteration in rock mechanics post heating and cyclic cooling is crucial for hot dry geothermal energy extraction projects. Against this backdrop, a constitutive model adept at delineating behavior under heating-cooling scenarios introduced. The presumes micro-element failure to adhere Weibull distribution constructed upon an octahedral shear stress strength criterion, integrating thermal mechanical damage statistics. Model parameters were derived via peak point method....

As the core component of flexible nozzle on solid rocket motors, joint relies shear deformation its silicone rubber elastomers to achieve a large vector angle, and is prone fatigue failure when working under high pressure. Aiming resolve elastomers, cracking energy density (CED) method was introduced into analysis joints. A convenient integral formula for calculating CED derived from Ogden second-order constitutive model. The at maximum value first principal elongation 12.3 MPa 6° swing...

In this work, we propose a double-layer precoder and cluster-based power allocation design for low earth orbit (LEO) satellite communication with massive multiple input output (MIMO). Specifically, spectral efficiency (SE) is chosen as the evaluation metric hardware complexity, transmit power, instantaneous channel state information (iCSI) statistical (sCSI) considered. We simplify three-dimension (3D) air-to-ground MIMO under environment angular spread model. Then, proposed to reduce...

Few-mode ring-core fibers (FM-RCFs) have been widely consider as promising optical in the mode-division multiplexing transmission system, for reducing inter-modal crosstalk. In this paper, we present a numerical analysis on bend property of few-mode fiber supporting seven spatial modes practical necessity. The factors simulation contain loss, modal effective area, density, refractive index, propagation constant and index difference. results indicate that FM-RCF also can keep good properties...

In this paper, we propose a crowd-sourcing and model-driven based online dictionary learning for FDD massive MIMO systems. This method is applied to address the problem of uplink downlink channel estimation in systems overcome shortcomings traditional offline model. Offline must be carried out at cell deployment stage need collect large number measurements. We introduce idea distribute task data collection users cell, hence can even when working burden alleviated. Furthermore, cannot adopt...

Infared ship recognition has many applications in port supervision and management. However, when the imaging distance is long or target changes are obvious, it difficult to achieve accurate detection by traditional methods. In this paper, we designed a single step cascade neural network that consists of three parts: feature extraction module, scale transform module classification regression module. Firstly, VGG used extract different level features images. Then fuse high-level low-level...

In this paper, we propose a hybrid massive multiple-input multiple-output (MIMO) jammer for time-division duplex (TDD) point-to-point link. The can switch between the virtual full-duplex (VFD) jamming mode and halfduplex (HD) depending on threshold of loop-interference. VFD mode, antenna array alternates signal reception interference transmission same user, so that channel reciprocity be fully utilized better performance obtained when loop-interference level is low. HD only interferes with...