Achieving health monitoring and chronic disease of the human body is a frontier topic in world, including scientific fields materials science, information technology, electronics, analytical chemistry. Wearable devices that continuously acquire physical signals such as temperature, pressure, stress to achieve real-time activity have been commercialized. However, wearable sensors monitor various chemicals fluids exhaled breath still face many problems, flexibility, sensitivity, accuracy fit...

This paper addresses the issue of limited timing accuracy in complex environments for both BeiDou system (BD) and long-range navigation (LORAN). We delve into correction algorithm LORAN signals an adaptive fusion based on extended Kalman filter (EKF). First, we introduce advantages limitations BD systems applications, as well principles EKF its application multisource information fusion. Next, propose a signal to address significant fluctuations signals. Building this, continue study EKF....

This paper explores effective methods for taming rubidium atomic clocks with longwave timing signals. In an in-depth analysis of the time-difference data between 1PPS signal output from ground-wave received by a long-wave receiver and UTC, we observe that has significant short-term jitter long-term periodicity effects. To meet this challenge, adopt several innovative strategies. First, use Fourier transform algorithm to analyse time-frequency characteristics in detail accordingly propose...

Controlling a non-statically bipedal robot is challenging due to the complex dynamics and multi-criterion optimization involved. Recent works have demonstrated effectiveness of deep reinforcement learning (DRL) for simulation physical robots. In these methods, rewards from different criteria are normally summed learn scalar function. However, less informative may be insufficient derive effective information each reward channel hybrid rewards. this work, we propose novel reward-adaptive...

With the massive application of automotive radars for driving assistance systems and autonomous system, mutual interferences between have become a key issue. Recently, different deep learning (DL)-based approaches been proposed, which achieve superior performances compared with conventional signal processing-based methods. However, existing DL-based interference mitigation techniques are supervised, i.e. paired co-registered datasets required training model, is not easy to acquire in real...

Feature descriptors, as abstraction of the critical information in lidar point clouds, are often used global pose initialization large-area to provide a reference for intelligent driving system. The current state-of-the-art method Scan Context descriptor is generated based on points' maximum height and, therefore, designed especially outdoor scenarios without ceiling. This study proposes generic both and indoor cloud's Gridded Gaussian Distribution (GGD). Wasserstein distance introduced this...

Existing bollard force measurement methods have not yet been able to realise simple, accurate, and efficient measurements of the a single ship’s cable. In this paper, an experimental study on ship is carried out with reference calculation method measuring cable diagonal Based fundamental frequency difference method, new comprehensive proposed detect vibration. A identification condition based measured vibration data also out. Experimental studies error rate different acquisition positions,...

A comprehensive two-dimensional (2D) time-domain numerical model is established to investigate the interaction of irregular waves and submerged structures with different sections. The specifically focuses on dual-lane floating tunnel (SFT) designs, encompassing elliptical, twin-circular, round rectangular For hydrodynamic analysis, we adopt second-order potential flow theory, while for mooring line simulations, employ slender rod taking into account entire load acting it. In coupled dynamic...

<title>Abstract</title> <bold>Purpose:</bold> Chatter is a frequent problem during machining operations. It significantly influences the quality. A stability lobe diagram (SLD) can be utilized to avoid chatter. However, generated SLD should frequently modified because it influenced by different time-varying factors, e.g., wear. In this work, we propose new method for generation of considering its variation process. <bold>Methods:</bold> The learning digital twin (LDT). We first structure...

In recent years, model-based reinforcement learning methods have been extensively studied in the field of robot control, due to their high sampling efficiency. However, current often don't take into account performance drop caused by uncertainty control scenarios. To address this issue, we propose Uncertainty-Aware Model Learning (UAML). We quantify model based on ensembles and use it assess accuracy generated data. Then, introduce a sampling-weighted mechanism utilize validate effectiveness...

Hepatolenticular degeneration (Wilson disease) is an autosomal recessive monogenic disorder caused by mutations in the ATPase copper transporting beta (ATP7B) gene located on human chromosome 13. This encodes a copper-transporting P-type (ATP7B). Recent studies have revealed that ATP7B predominantly affected few hotspot mutations, with His1069Gln mutation exon 14 accounting for 50 to 80% of cases. In China, Arg778Leu 8 most prevalent. However, discovery novel mutant genes persists.

Abstract The gravity field is one of the Earth’s basic physical fields. geoid can be calculated and tectonic activity underground inversed by anomaly. With development various ship-borne gravimeters navigation technology, including Global Navigation Satellite System (GNSS) Strapdown Inertial (SINS), precision marine gravimetry has been significantly improved (achieve or better than 1mGal). Errors arising from calculations correction term have become main source measurement errors. At...

A consensus-based multiple unmanned aerial vehicles (multi-UAV) formation control algorithm with collision avoidance is proposed in this study. Particularly, graph theory applied to represent the communication connection between UAVs. Then, longitudinal and lateral controllers are designed taking into account position differences factors adjacent The height yaw considering angle differences. Furthermore, convergence of presented verified by using Lyapunov theory. can not only ensure...