Accurate precipitation nowcasting can provide great convenience to the public so they conduct corresponding arrangements in advance deal with possible impact of upcoming heavy rain. Recent relevant research activities have shown their concerns on various deep learning models for radar echo extrapolation, where maps were used predict consequent moment, as recognize potential severe convective weather events. However, these approaches suffer from an inaccurate prediction dynamics and...

Vortex beams carry orbital angular momentum (OAM), and their inherent infinite dimensional eigenstates can enhance the ability for optical communication information processing in classical quantum fields. The measurement of OAM vortex is great significance applications based on beams. Most existing methods require beam to have a regular spiral wavefront. Nevertheless, wavefront light will be distorted when propagates through random medium, hindering accurate recognition by traditional...

The intelligent monitoring of road surveillance videos is a crucial tool for detecting and predicting traffic anomalies, swiftly identifying safety risks, rapidly addressing potential hazards, preventing accidents or secondary incidents. With the vast number cameras in operation, conducting traditional real-time video analysis across all at once requires substantial computational resources. Alternatively, methods that employ periodic camera patrol frequently overlook significant anomalous...

We report the demonstration of a GaN-based planar metal-semiconductor-metal (MSM) ultraviolet photodetector (PD). The MSM PD with semitransparent interdigitated Schottky electrodes is fabricated on low-defect-density GaN homoepitaxial layer grown bulk substrate by metal-organic chemical vapor deposition. dislocation density homo-epilayer characterized cathodoluminescence mapping technique ~5×10 6 cm −2 . exhibits low dark current ~4.1×10 − 10 A/cm 2 and high UV-to-visible rejection ratio up...

The weather radar will receive a lot of non-meteorological echo information during the body scan process, such as: object echoes, co-wave interference airplanes, flocks birds, etc. These echoes cause pollution to normal meteorological thereby affecting accuracy output product. traditional beam blocking correction method is interpolate and fill according adjacent radial data, but this cannot make full use deep laws data relatively limited. In paper, problem regarded as an image completion...

By combining the improved properties of Bessel modulated autofocusing beam [Phys. Rev. A104, 043524 (2021)PLRAAN1050-294710.1103/PhysRevA.104.043524] with influence canonical optical vortex, we study dynamical characteristics tightly focused circularly polarized vortex beams (CPMAVBs) and their performance in trapping chiral nanoparticles. We find that distributions beam's intensity depend on value topological charge carried by beam. Moreover, CPMAVBs exhibit higher peak superior compared to...

Doppler weather radar is the most widely used convection detector with highest resolution in ground. Echo reflectance data from key reference for meteorological department to carry out severe convective forecast and early warning, quantitative precipitation estimation(QPE) forecast(QPF). However, process of detection, it inevitable be affected by obstacles, ground object echo interference, attenuation other phenomena, resulting poor quality detection results. Therefore, very important...

Profound understanding of an interaction mechanism among influencing factors in the perspective urban road traffic operation is great significance for scientific and effective congestion management. In this paper, 6 indicators are proposed aspects average speed sections, regional index, number incidents. Based on this, 4 major 12 measurable subinfluencing according to supply demand, SEM (structural equation model) established find out their mechanism. And then, several sets local data...

Due to the characteristics of being license-free, ISM (Industrial, Scientific, Medical) bands are frequently utilized by wireless communication systems. However, ubiquitous and unmanaged IEEE 802.11 systems deployed in may bring non-negligible interference emergency communications. This paper considers suppressing transmission 2. 4GHz band for protecting public safety scenarios. To this end, two kinds suppression frames that comply with protocol analyzed, which respectively borrow ideas...

Precipitation Nowcasting tasks have important social impact and economic significance in disaster warning, planning, etc. Currently it uses methods based on radar echo extrapolation. Some recent works introduced deep neural networks into the field of extrapolation, where images are arranged temporal order as inputs to model. Previous usually use convolutional networks(CNN), recurrent networks(RNN) or a combination both, which do not fully exploit partial differential equation relationships...

The current state-of-the-art(SOTA) blind watermark embedding method MBRS based on deep learning is less robust to Crop, and additional diffusion layers need be added for optimization. However, the layer will make model noise other than Crop. Therefore, which needs add or delete components not a practical watermarking framework. Not only that, easy generate chessboard artifacts, resulting in generated being detected by human eye. we construct more generalized framework propose an improved...

SAR (Synthetic Aperture Radar) satellites can perform reconnaissance on specific areas in all directions. Generally speaking, the scope of is smaller than that passive reconnaissance. Therefore, orbit and constellation design are more important. Here we use maximum coverage gap to measure efficiency satellite simulation technology studied. The results show change orbital inclination has a great influence revisit interval. visible range interval, as well number planes. Based this method,...

In recent years, with the increase of high-rise buildings, elevators have become more and common. The subsequent problem safe riding has entered public's attention. daily life, uncivilized elevator behaviors are often seen such as picking doors, blocking doors that always open in elevator. They not only endanger safety elevator, but also easily cause to malfunction. Therefore, it is necessary effectively monitor manage behavior Aiming at most common undesirable this paper proposes implements...

In the waist-worn indoor Autonomous Navigation System based on Dead-Reckoning principle using low-cost MEMS (Micro-Electro Mechanical Systems) inertial sensors, heading gyro bias error with poor repeatability is one key factor, which significantly reduces positioning accuracy. For this problem, paper designs a closed-loop walking track and corresponding corridors azimuth introduced online used as observed information by Kalman Filter for calibration. Thus, caused large can be reduced. The...