The joint inversion methods of gravity and magnetic data have been presented in numerous literatures implemented many real applications. However, almost all these existing still face the problem low computational efficiency, although some targeted improvements put forwarded. To further address this issue, study proposes an efficient algorithm for data. new is developed from idea structural coupling by using cross-gradient function employs a sequential strategy. A formula minimization...

Qing-Chengzi (QCZ) is an important silver-gold mining area in the eastern part of Northeast China Craton. The shallow minerals this are almost completely depleted, leading to a demand for exploration find deeper, concealed deposits. However, due rugged terrain, few high-precision ground surveys have been executed area, resulting insufficient understanding unexposed ores. To address issue, study implemented magnetic survey identify faults and potential rocks area. achieve these goals,...

The observed potential field data are usually corrupted by noises from different sources, and these contained pose great adverse impacts on further processing. In the literature, many noise reduction methods have been introduced to solve this problem, most of which based idea high-pass filter. However, there some limitations for conventional methods, such as elimination effective high-frequency components caused shallower small-scale resulting in reduced denoising precision, difficulties...

Along with the rapid development of Internet Things (IoT), a massive number IoT devices are connected to Internet. Smartphones as typical which collect valuable and important data from users. Based on analysis, smartphones can provide services users, such intelligent recommendations, location-based introductions, etc. Since Internet, it increases risks attacks adversaries. Android is one most popular mobile operating systems, targets systems increase significantly. However, there some...

The 3-D marine gravity field plays an important role in many practical applications, such as matching navigation, object monitoring, and resource exploitation. However, the accuracy of generated by most existing methods is relatively low. To solve this problem, study innovatively puts forward a new method for establishing high-accuracy using joint inversion algorithm. presented incorporates fields observed at different altitudes, especially those near seafloor, because they contain more...

The data-driven inversion methods based on deep learning for gravity and magnetic data have been well studied in existing literatures due to their advantages such as less constrains requirements extremely high efficiency compared with various conventional model-driven methods. However, some issues should be further addressed when these applied the joint inversion, how determine structural similarity of divided cells low depth resolution results. To solve above problems, this paper proposes...

SUMMARY Crustal thickness and Poisson's ratio have played significant roles in determining the crustal structure, compositions deformation. We improved algorithm for joint estimation by receiver function gravity data on optimization of initial model, sediment-correction, as well associated density parameter, utilized it to estimate ratios eastern China. The uncertainty analyses verified reliability our model. Our results demonstrate that China increases gradually from east (about 26.6 km)...

The strip-shaped interferences in aeromagnetic data pose great adverse effects on interpretation. In literature, a number of methods have been proposed to deal with this problem. However, existing still some limitations. Inspired by the ability deep learning techniques extract features from data, study presents novel convolutional neural network (CNN)-based method eliminate data. uses U-Net structure establish whole network. use up–down sampling and skip connection enables multiscale complex...

With the gradual deepening of mineral exploration, detection concealed minerals in coverage area has become a notable research subject. However, how to strip geophysical effects due shallow layer effectively plays major role success or failure application various methods. To solve this problem for gravity method, letter presents novel scheme stripping layer. The proposed introduces geological information reduce uncertainty separation, and automatically selects frequency bands decrease...

Gravity data have been playing an important role in marine exploration and research. However, obtaining gravity over extensive area is expensive inefficient. In reality, anomalies are usually calculated from satellite altimetry data. Over the years, numerous methods presented for achieving this purpose, most of which time-consuming due to integral calculation a global region singularity problem. This paper proposes fast method anomalies. The proposed introduces novel scheme solve problem...

With the rapid development of Internet Things (IoT), a huge number IoT devices are connected to network, such as sensors, actuators, etc. Generally, adopts various communication techniques, 4G, 5G, and WiFi support communications for all devices, which requires public facilities support. However, how connect in less situation becomes problem. The Wireless Sensor Networks (WSN) similar wireless ad hoc networks, it relies on sensors connectivity create connection provide service covered area....

This article introduces the 1D combination technique and its implementation with parallel programming. I discuss two primary features of technique: (1)~its reduction computational cost, especially when combined programming where high accuracy is required; (2)~a resultant sacrifice accuracy. However, loss can be bounded thus reducing significance. References C. Zenger. Sparse grids. in Parallel Algorithms for Partial Differential Equations, Proceedings Sixth GSAMMSeminar, Kiel, January...

The inversion of potential field data has widely utilized the generalized cross-validation (GCV) and unbiased predictive risk estimator (UPRE) methods to determine regularization parameter. However, these two are time-consuming it is difficult for them optimal linear search range including regularization. To solve problems, this article improves GCV UPRE using RGSVD (randomized singular value decomposition) algorithm. improved first use randomized algorithm compute an approximate...

Downward continuation is an effective technique that can be used to transform the magnetic data measured on one surface would another arbitrary lower surface. However, it suffers from amplitude attenuation and susceptible noise, especially when distance large. To solve these problems, we present a stable high-precision downward method combining ideas of equivalent source technique, Tikhonov regularization, radial logarithmic power spectrum analysis, constrained strategy. implement this...