In this letter we present a novel method for source node localization using received signal strength in situations where path-loss model parameters are unknown. First, ratio approach is used to eliminate the transmitting power uncertainty, then, combined with search exponent under certain constraints, linear least squares utilized determine location of node. Simulations demonstrate feasibility and suitability proposed method. The simulation results indicate that presented outperforms other...

Airborne laser scanning (ALS) point cloud has been widely used in the fields of ground powerline surveying, forest monitoring, urban modeling, and so on because great convenience it brings to people’s daily life. However, sparsity uneven distribution clouds increases difficulty setting uniform parameters for semantic classification. The PointNet++ network is an end-to-end learning irregular data highly robust small perturbations input points along with corruption. It eliminates need...

Currently, deep neural networks have gained impressive performance for object detection when plenty of labeled training data are available. However, a substantial quantity is typically rare and time-consuming to obtain in space exploration. To possibly alleviate this problem, we use domain adaptation (DA) effectively detect unannotated real samples the crater problem with help autoannotated synthetic only. Specifically, present novel network, namely, CraterDANet, which unifies image-...

Increasing the freedom of communication using conventional row/column (RC) P300 paradigm by naive way (increasing matrix size) may deteriorate inherent distraction effect and interaction speed. In this paper, we propose a two-level predictive (TLP) integrating 3×3 with statistical language model. The TLP is evaluated offline online data from ten healthy subjects. Significantly larger event-related potentials (ERPs) are evoked compared classical 6×6 RC. During an task (correctly spell English...

The strict mathematical model of the mobile precise trigonometric levelling (MPTL) is deduced and its error sources are analysed in this paper. Some position sensors added to instruments observing reciprocal at same time using two modified measuring robots so as reduce influence atmospheric refraction, curvature earth other factors. It not necessary measure heights targets by constructing even numbers observed edges avoid errors heights. Experimental results indicate that MPTL has greatly...

Structural health monitoring with wireless sensor networks has been increasingly popular in recent years because of the convenience. In this paper, a real-time system for cracks on surface reactor containment buildings is presented. Customized platforms are designed and implemented sensors especially crack monitoring, which include crackmeters temperature detectors. Software protocols like route discovery, time synchronization data transfer developed to satisfy requirements stay simple at...

The prediction of dam settlement data plays an important role in analyzing whether the is a safe operation state. But field surveying engineering, original measured by instruments will inevitably have random and unpredictable errors, dams usually has strong correlation with environmental parameters. In this study, influence error parameters on discussed, model based multi-input long short-term memory (LSTM) network extraction proposed. Through concrete face rockfill dam, analysis shows that...

As an external defect, cracks cannot be neglected, and crack detection is crucial for the safety monitoring of nuclear containments. Because low continuity tiny size cracks, traditional crack-detection methods sometimes fail to detect in complex backgrounds. This paper proposes a method featuring template that can adaptively determine width. The search starts from local minimum point gray level, width determined by comparing difference between seed region its neighborhoods on pixel basis....

Instabilities in observed environments at sea, such as the sudden appearance of fog, varying temperature or pressure, changes wind speed and direction, differential gravitational magnetic fields each station, will lead to fluctuating observations difficult data processing. These factors must be considered achieve high-precision leveling. Therefore, a sea-crossing trigonometric leveling method that satisfies national second-order accuracy is proposed according sources variable characteristics...

With ground-based synthetic aperture radar (GB-SAR) discontinuous observation, the effect of rail error, caused by multiple installations, on imaging is difficult to eliminate with difference correction. In this article, impact error each point, which related incident angle theoretically analyzed. This first attempt introduce a baseline in application GB-SAR microdeformation build model that estimates point image. Then, correction established using angle, and influence image weakened model....

It is challenging to measure, analyze, and control the deformation space attitude of antennas in narrow radomes through geometric measurement ensure accuracy phased array radar application. In this manuscript, a method for rapid by adopting combination photogrammetry system, laser tracker total station was proposed. The photogrammetric used with homemade auxiliary tool measure calculate antenna's under different temperatures pitch angles. Mapping relations between instrumental coordinate...

Deep learning in 3-D classification tasks focuses on the designs of comprehensive local aggregation operators. Airborne laser scanning (ALS) point clouds have their own characteristics: 1) object overlaps vertical direction; 2) spatial density is uneven; and 3) objects present large-scale variations between different categories. However, dynamic graph convolutional neural network (DGCNN) ignores inherent properties ALS clouds. This study modifies DGCNN proposes a new module called Webconv,...

The method of river-crossing leveling named ranging trigonometric is improved based on the Specification for First and Second Order leveling. Simultaneous reciprocal observation realized by improving instruments measurements, then influence atmospheric refraction decreased, workflow also simplified to increase efficiency. accuracy analyzed at each group guarantee final results, improvement proposed.

The high-frequency signal is often used as the communication of Ground-based radar, which susceptible to atmospheric effects. An disturbance correction radar required obtain monitoring accuracy better than millimeter in precision deformation using ground-based interferometry. In this paper, we analyzed experimental-data change statistically and proposed a method based on discrete stable point global environment. following experiment proved that can optimize measurement results for scene small-scale.

A novel online tracking method is proposed based on the response of feature combination (RFC) and relative position map (RPM). First, large numbers features around target are achieved after some designed filtering, then a suboptimal obtained by given selection criteria can be used for next frame. The distinction between background maximized in result image. Based this segmented out easily. While there always exists similar regions will residue left filtering. To depress these clutters,...