Pinned Repositories
2.680-Marine-Vehicle-Autonomy
This course covers basic topics in autonomous marine vehicles, focusing mainly on software and algorithms for autonomous decision making (autonomy) by underwater vehicles operating in the ocean environments, autonomously adapting to the environment for improved sensing performance. It will introduce students to underwater acoustic communication environment, as well as the various options for undersea navigation, both crucial to the operation of collaborative undersea networks for environmental sensing. Sensors for acoustic, biological and chemical sensing by underwater vehicles and their integration with the autonomy system for environmentally adaptive undersea mapping and observation will be covered. The subject will have a significant lab component, involving the use of the MOOS-IvP autonomy software infrastructure for developing integrated sensing, modeling and control solutions for a variety of ocean observation problems, using simulation environments and a field testbed with small autonomous surface craft and underwater vehicles operated on the Charles River.
2020a_IMT_SSH_mapping_NATL60
A student challenge on both mapping of satellite altimeter sea surface height data and its dynamical update through web portals for scientific teams interested in the data challenge. Organisation: IMT-Atlantique, MEOM@IGE, Ocean-Next and CLS.
2020a_SSH_mapping_NATL60
A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.
2021_MSSP
This repository contains the established models discussed in the paper: "A Physics-constrained Deep Learning Based Approach for Acoustic Inverse Scattering Problems"
2L_QG_EOF_DMD
Deterministic and stochastic (projector operator stochastic parameterization) 2-layer QG model
3D_Parabolic_Equation_CUDA
Acoustic Parabolic Equation model with CUDA acceleration.
ML-Applied-for-Physics
paraPropPython
split-step parabolic equation solver for in-ice radio propagation
Rafelski_LandOceanModel
Code for land uptake of CO2 and ocean uptake of CO2. Original author: Lauren Rafelski
transfer-learning-soil-moisture-prediction
Improved Daily SMAP Satellite Soil Moisture Prediction over China using deep learning model with transfer learning
cxzhangqi's Repositories
cxzhangqi/ML_TimeSeries_Transfer_Learning
cxzhangqi/DESIGN-OF-ROUTING-PROTOCOL-FOR-UNDERWATER-WIRELESS-SENSOR-NETWORK
All routing protocol performs specific task in underwater wireless sensor network(UWSN). Routing is responsible for networking problems. The main design issues of the routing protocols for UWSN are Bandwidth capacity, problem related to low energy, node mobility and high propagation delays. In this project Dynamic route discovery, Cluster and depth based and Location based routing protocols are proposed. In Dynamic route discovery protocol the location of nodes, base stations and the battery powers are collected. Based on the location and the battery power route discovery process is done periodically. In order to improve the propagation delay, bandwidth and battery life time,cluster and depth based routing protocol is proposed. A cluster based network is formed to simplify the routing for forwarding the data packets. Route is discovered based on the depth of the previous sender and decides whether to forward a packet or not. Location based routing protocol is proposed to improve the delay and successful rate. A routing pipe is formed to buildconnection between source, destination and packet delivery. Estimation of neighborhood and to adjust the forwarding policy may be done using self-adoption algorithm. It may be simulated using Network Simulator(NS2) with 50 nodes and the routing efficiency may be analyzed using the parameters network throughput, packet delivery ratio and energy consumption.
cxzhangqi/OnsagerMachlup
Several schemes of the Onsager--Machlup functional for data assimilation with Rossler model
cxzhangqi/SST-MannKendallTrendAnalysis
Perform a Mann-Kendall Trend Analysis on Sea Surface Temperature (SST) time series data
cxzhangqi/Surface_Quasi_Geostrophy
cxzhangqi/PETSc_FDTD_3D_acoustic_wave_propagation
3D acoustic wave propagation in homogeneous isotropic media using PETSc and Krylov space method
cxzhangqi/fd2d_acoustic
fd2d acoustic time reversal modelling
cxzhangqi/DESIGN-OF-ROUTING-PROTOCOL-FOR-UNDERWATER-WIRELESS-SENSOR-NETWORK-1
All routing protocol performs specific task in underwater wireless sensor network(UWSN). Routing is responsible for networking problems. The main design issues of the routing protocols for UWSN are Bandwidth capacity, problem related to low energy, node mobility and high propagation delays. In this project Dynamic route discovery, Cluster and depth based and Location based routing protocols are proposed.
cxzhangqi/MultiChannel_PowerControl_for_Sensor_Networks
Implementation of Adaptive Schemes (channel assignment & power control) for overhearing minimization in wireless sensor networks
cxzhangqi/cs-correlated-noise
This is a package of Matlab scripts to reproduce the results of the scientific paper "Compressed Sensing with Correlation Between Measurements and Noise"
cxzhangqi/wsn_routing
Simulations of Selected Routing Algorithms for Wireless Sensor Networks
cxzhangqi/PB_ANDA
cxzhangqi/FDTD-4
cxzhangqi/prof
reconstruction velocity profile from surface data
cxzhangqi/nn
tools and example for neural predictor of ocean surface dynamics
cxzhangqi/Wafer-cxx
Parallelized 3D FDTD Schrödinger Equation Solver
cxzhangqi/isQG
Extrapolate Sea Surface Height and Temperature data to get three dimensional ocean state.
cxzhangqi/DL-ChannelDecoding
On Deep Learning-based Channel Decoding
cxzhangqi/FDTD-3
Collection of Finite Difference Time Domain Codes
cxzhangqi/WirelessSensorNetwork
Compute and visualize high-coverage backbones for randomly distributed sensor networks.
cxzhangqi/UnderwaterAcoustic
A MATLAB demonstration of under-water acoustic communication using OFDM technology. This demo implements simple multipath channels and allows transmission/reception of image files.
cxzhangqi/Dry-Mixed-Layer-Model
Codes for solving the dry mixed layer atmospheric boundary layer equations
cxzhangqi/core
Oceanic eddy identification using machine learning models.
cxzhangqi/hyo_ssp
HydrOffice SSP (mirror of https://bitbucket.org/ccomjhc/hyo_ssp)
cxzhangqi/uwasn
Underwater Wireless Acoustic Sensor Network
cxzhangqi/SOM_Reconstruction
cxzhangqi/CoastalCO2Flux
Coastal-ocean uptake of anthropogenic CO2
cxzhangqi/Hole-and-Boundary-node-detection-in-wireless-sensor-network-WSN-
cxzhangqi/Power-Control-for-Wireless-Sensor-Networks
A centralized adaptive power control and routing algorithm for rechargeable Wireless Sensor Network with limited power source
cxzhangqi/control_aredi800
Analysis of ocean heat and carbon in GFDL ESM2Mc aredi=800 simulation