Hello! My name is Aries Chen, and I am a committed student at the China University of Petroleum , where I major in Geophysics. Recently, I have developed a deep interest in Artificial Intelligence. I am actively involved in AI research, exploring how these cutting-edge technologies can enhance geophysical studies by providing new insights and improving efficiencies.
Beyond academia, I am deeply passionate about literature and endurance sports, especially marathons. Reading opens up various worlds and ideas for me, expanding my perspective and stimulating my creativity.
The advent of artificial intelligence (AI) in weather forecasting marks a pivotal shift in meteorological sciences, combining traditional numerical weather prediction (NWP) methods with advanced machine learning techniques. Pangu-Weather, a large AI model, enhances medium-range global weather forecasting through its innovative 3D neural network architecture, highlighting significant improvements over existing methods in accuracy and computational efficiency.
1. IntroductionHistorically, weather forecasting has relied on NWP, which, despite its precision, suffers from high computational demands.
Geological exploration has long been a domain of meticulous study and analysis, where the subsurface secrets of the Earth are decoded from images that are as complex as they are enigmatic. One of the most powerful tools in this quest has been Ground Penetrating Radar (GPR), a technology that peers into the depths of the geological layers without a single shovel strike. But the interpretation of GPR data has remained a highly specialized skill — until now.
Scene of Microtremor
MicrotremorThe microtremor method is a geophysical technique used to measure the natural vibrations of the ground, known as microtremors. These vibrations are typically caused by the movement of the earth’s crust, such as earthquakes, and can be used to study the subsurface structure and properties of the earth.
To measure microtremors, a seismograph or accelerometer is typically placed on the ground at a specific location. The device records the ground motion as a function of time and frequency, and this data can be used to calculate the spectral characteristics of the microtremors.
ROS (Robot Operating System) provides libraries and tools to help software developers create robot applications. It provides hardware abstraction, device drivers, libraries, visualizers, message-passing, package management, and more. ROS is licensed under an open source, BSD license.
Requirement:
Lidar Toolbox ROS Toolbox Optional:
Example data: The data is collected from ssl_slam, which relates to the article <Lightweight 3-D Localization and Mapping for Solid-State LiDAR (Intel Realsense L515 as an example)>.
Live Editor tasks are simple point-and-click interfaces that can be added to a live script to perform a specific set of operations. You can add tasks to live scripts to explore parameters and automatically generate code. Use tasks to reduce development time, errors, and time spent plotting.
We are familiar with Jupyter notebook in Python. In MATLAB, there are live scripts. MATLAB live scripts and live functions are interactive documents that combine MATLAB code with formatted text, equations, and images in a single environment called the Live Editor.
