Pinned Repositories
anomaly_transformer_pytorch
PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
czml-Jupyter
Python 3 library to write CZML
detaviz
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
dmsc-visualizer
A library to visualize (keplerian) orbital movements of a satellite network in 3D using OpenGL® 4.2.
Flowformer
About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf
Large-Scale-Satellite-Network-Simulator-LSNS
Large-scale Satellite Networks Simulator (LSNS)
QT-Cesium
QtJSBSim modular flight simulator, front end for JSBSim
Satellite-Telemetry-Anomaly-Detection
Unsupervised machine learning techniques for detecting anomalies in LASP spacecraft telemetry
ZhouHnag's Repositories
ZhouHnag/QT-Cesium
QtJSBSim modular flight simulator, front end for JSBSim
ZhouHnag/Satellite-Telemetry-Anomaly-Detection
Unsupervised machine learning techniques for detecting anomalies in LASP spacecraft telemetry
ZhouHnag/lihang-code
《统计学习方法》的代码实现
ZhouHnag/LLEOSCN-CDN-Sim
Simulation tool for CDN replication in large low-earth orbit satellite access networks.
ZhouHnag/NSIBF
Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering
ZhouHnag/Optimization-for-LEO-satellites-network
The current generation of LEO constellations assumes that each LEO satellite covers a ground area regardless of the number of end users or terminals operating in the same area. The satellite solution to the communication problem, both in terms of reach and quality, is lacking when we talk about optimization in QoS aspects. (latency and throughput The questions our project deals with are What are the requirements for the QoS? What QoS can we provide with efficient routing in the given constellation? How to maximize the number of users for a specific region and QoS? How many satellites will suffice for the desired QoS in the given constellation? In addition to the geographical difficulties of routing, there is a delay time problem and therefore the processing time of the routing algorithm has a great impact. The problem the project will deal with is traffic routing for a satellite network based on LEO satellites, considering various service metrics.
ZhouHnag/Optimization_for_LEO_satellites_network
Continuation of LaviBenshimol's project
ZhouHnag/PositionBasedonCommunicationSatellite
This software has developed a positioning software based on the Iridium satellite signal based on the C/C++ language and windows + QT platform, which basically realizes the following functions: 1. Doppler information processing and extraction and image presentation after the hardware collects the input data; 2. TLE update tool mainly for Iridium; 3. Automatic identification, overhead satellite prediction and positioning based on the extracted Doppler information and the satellite number of the TLE file, and displayed on the graphical interface based on Baidu Map API;
ZhouHnag/satellite-network-research
ZhouHnag/Satellite_Simulation_Demo
Satellite Simulation in Java Project
ZhouHnag/SatelliteNetworkSimulator_2017.12
修改了链路部分内容，包括速度、丢包率、建链时延、重传次数
ZhouHnag/SILLEO-SCNS
Simulator for Large LEO Satellite Communication Networks
ZhouHnag/StemGNN
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
ZhouHnag/TLEDownloader
Download the TLE data of iridium / iridium next constellation (replaceable) from the website to realize the interface display based on QT.