The expression of human epidermal growth factor receptor 2 (HER2) in breast cancer is critical the treatment with targeted therapy. A 3-block-DenseNet-based deep learning model was developed to predict HER2 by ultrasound images.The data from 144 patients preoperative images and clinical information were retrospectively collected Shandong Province Tumor Hospital. An end-to-end 3-block-DenseNet classifier built images. randomly divided into a training (n = 108) validation set 36).Our proposed...

Unmanned SystemsAccepted Papers No AccessNonlinear Model Predictive Control of Tilt-Rotor UAV under a Dual Differential Based on INDI StrategyTianrui Fang, Changping Du, Rui Yang, Yuean Wu, Jiahao Yu, Zean Yiming Shang, and Yao ZhengTianrui Du Search for more papers by this author , Yang Wu Yu Shang Zheng https://doi.org/10.1142/S2301385026500263Cited by:0 (Source: Crossref) Next AboutFiguresReferencesRelatedDetailsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend...

A detection procedure for a moving magnetic dipole target by using at least three scalar magnetometers is proposed in this letter. The are deployed on the ground or seafloor, while traveling along straight line constant speed above ground. First, range from each magnetometer to closest point of approach (CPA) flight as well instant that passes CPA estimated adopting orthonormal basis function expansion method. Then, parameters, including direction, speed, and elevation, found through basic...

The orthogonal basis functions (OBFs) method is a prevailing choice for the detection of undersurface magnetic anomaly targets. However, it requires detecting platform or target to move uniformly along straight path. To circumvent restrictions, new adaptive (ABFs) approach proposed in this article. It permits search possible at different speeds any course. ABFs are constructed using real-time data onboard triaxial fluxgate, GPS module, and attitude gyro. Based on pseudo-energy an apparent...

Aeromagnetic surveys play an important role in geophysical exploration and many other fields. In applications, magnetometers are installed aboard aircraft to survey large areas. Due its composition, has own magnetic field, which degrades the reliability of measurements, thus a technique (named aeromagnetic compensation) that reduces interference field effect is required. Commonly, based on Tolles–Lawson model, this issue solved as linear regression problem. However, multicollinearity, refers...

Aeromagnetic compensation, elimination of magnetic interferences produced by the aircraft platform, plays a vital role in aeromagnetic applications. Conventional compensation methods are based on Tolles–Lawson (T–L) model, which accounts for only manoeuvring interferences. However, due to other factors, such as currents from electrical systems and movable parts, found significant practice. In this study, authors take these interference factors into consideration, including strobe light...

Scalar atomic magnetometer (SAM) with high sensitivity is designed to measure the total magnetic field and has been widely applied in aeromagnetic surveys. However, measured of SAM influenced by disturbances due permanent, induced eddy-current fields aircraft heading errors SAM. To reduce caused maneuvers, a model was proposed Tolles Lawson used compensation. error deviates compensation coefficients estimated Tolles-Lawson model. In this letter, we propose linear for multi-cell SAMs analyze...

This paper presents the procedure for evaluating electromagnetic field induced by wake of an undersea-moving slender body. The body is considered equivalent to a pair Havelock point sources that can generate flow fields. electric current generated in seawater calculated means moving conductive cuts earth's magnetic field. fields air and are then determined solving Maxwell equations with appropriate boundary conditions. include two parts: One attenuating oscillation be ascribed free surface...

In this letter, two convolutional neural network (CNN) models for detection of magnetic anomaly target signals are proposed. One is a 1-D CNN combined with signal feature (SF-CNN1D), and the other 2-D based on time–frequency diagrams (TF-CNN2D). To train models, simulated added to measured background noise generate positive sample set, while negative set pure noise. Simulation results show that both have satisfying test accuracies. A field experiment conducted verify generalization ability...

An intelligent method for detection of magnetic dipole target signals (MDTS) by using the convolution neural network (CNN) is proposed. First, contaminated MDTS are intercepted and converted into 2D images through Wigner-Ville time-frequency transforms. Then, a set selected training CNN until satisfying level. Last, all tested to identify which contain MDTS. Both simulation experiment results show that proposed possess very high possibility, which, under same signal-noise rate (SNR),...

This paper is concerned with the aeromagnetic compensation, which extracts and subtracts disturbing magnetic fields generated by aircraft itself. It a crucial step in anomaly target detection. The classical Tolles-Lawson model established based on many assumptions, including at least following three points. First, nonorthogonality, zero offsets nonlinearity of triaxial fluxgate are ignorable. Second, has no movable part keeps rigidity during flying. Third, ambient electric field does not...

Abstract Weak electric currents are induced in moving seawater by cutting the geomagnetic fields. These can produce measurable electromagnetic fields that may be used for some purposes such as monitoring of ocean internal waves. This article is aimed at presenting procedure to calculate owing wake raised an undersea slender body. A pair Havelock point sources introduced model body, which generate similar places far from The taken finite-depth with density stratification due thermocline....

In aeromagnetic detection, the magnetic interference conducted by electric currents in onboard electronic (OBE) equipment is gradually being taken seriously with development of compensation technology. Here, we propose a method based on synthetically total field (STMF) measured an fluxgate vector magnetometer. this method, model firstly built to suppress current (ECMI) which jointly scalar magnetometer and The singular spectrum analysis (SSA) introduced accurately extract characteristic...

The orthogonal basis functions (OBFs) method is a viable approach for magnetic target signal detection under the Gaussian white noise. However, its performance would degrade overtly color noise with power spectral density of 1/f <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">α</sup> , which common environmental In this letter, based on linear constrained minimum variance criterion and generalized likelihood ratio test, respectively, an...

Aeromagnetic compensation is a signal-processing method to suppress the magnetic interference from airborne platform that far exceeds target signal. With development of measurement technology, traditional aeromagnetic model in which motion considered as rigidly connected whole cannot satisfy request for high-quality detection, and generated by small relative components needs draw our attention. In this article, source maneuver on aircraft split into two parts, is, main body part (MBP) moving...

The flight control design of a dragonfly-like flapping wing micro aerial vehicle (FWMAV) is studied in this paper. main contribution work to an appropriate controller by incorporating linear-quadratic regulator (LQR) method and iterative learning tuning (ILT). linear model FWMAV developed at the equilibrium point. Then approach applied FWMAV. However performance sensitive input weighting matrix LQR. In order improve controller, optimize LQR problem due unknown constraints relations between...

This paper proposes a trajectory tracking algorithm that uses Model Predictive Control (MPC) to address the issue of poor performance Flapping-wing UAV. However, due difficulty in constructing prediction model, high computational complexity, and real-time MPC, we propose Model-Free (MFPC) dynamic linearized model as model. It greatly reduces complexity running time while satisfying control performance. To effects inaccuracy disturbances such crosswind on MFPC, optimize feedback correction...

Inspired by the albatross, this paper presents construction of a dynamic soaring simulation system with distributed pressure sensors. The advantage our lies in harvesting energy from wind shear layer and estimating information using pressure-based sensor system. Specifically, contains an offline training stage online estimation control stage. In stage, computational fluid dynamics simulations are conducted used as data source. A surrogate model is established to correlate local flow...

The flapping wing aerial vehicle (FWAV) is an unmanned that greatly affected by aerodynamic changes. uncertainties of its model and the complicated external airflow disturbances make existing controllers unable to meet system performance requirements. Therefore, this paper presents a novel adaptive sliding mode controller framework based on cascade control online learning. First, virtual guided surface was established smooth unstable output quantity eliminate chattering avoid aggravating...

In order to solve the problem of navigation system precision distribution, an adaptive fast distribution method is proposed in detail, which based on improved artificial fish swarm algorithm It combines concepts Genetic Algorithm and Simulated Annealing, adaptively adjusting control parameters, restructuring standard tracking relationship algorithm, so can avoid local optimum improve calculating precision, speed expansibility. The applied distribute subsystem with Monte-Carlo method....

In this paper a target allocation method is developed, inspired by the Hungarian algorithm. The special weighting factors are introduced to sum up applicant's cost and benefit solve assignment problem. proposed algorithm suitable for both square non-square matrix time consumption almost same as that of standard order verify algorithm, numerical analysis carried out in detail. results show correct effective.

Magnetic anomaly detection (MAD) is a method to find the ferromagnetic object by recognizing weak target magnetic signal in complex background noise. In practical detection, noise usually colored noise, so needs firstly be suppressed before detecting measurement data. this paper, singular spectrum analysis (SSA) introduced decompose test data improve signal-to-noise ratio (SNR) of decomposing procedure, clustering used classify values and select out containing information reconstruct new...

Due to the physical characteristics that magnetic dipole target signal (MDTS) decays with third power of distance and fact measured data contain usually environmental noise such as diurnal variation cultural noise, it is very difficult detect long-distance targets. In this paper, complete ensemble empirical mode decomposition adaptive (CEEMDAN) algorithm which an improved version (EMD) pattern recognition are combined construct a novel detection algorithm(CEEMDAN-PR). CEEMDAN can effectively...

This study reports light narrowing in paraffin-coated vapor cells from room temperature 27 to 59 °C, where spin-exchange relaxation is suppressed. By means of a coating lock and eliminating the reservoir effect, an ultra-narrow magnetic resonance linewidth 0.36 Hz atomic coherence lifetime T2=0.9 s are achieved. In free buffer gas, narrow over this broad range result enhanced spin polarization, which facilitated by effective suppression radiation trapping benefiting stability density. Using...