Utilities often use "smart meters" to optimize their residential meter reading infrastructure. Smart meters transmit consumption information in the various ISM bands allowing utilities to simply send readers driving through neighborhoods to collect commodity consumption information. One protocol in particular: Encoder Receiver Transmitter by Itron is fairly straight forward to decode and operates in the 900MHz ISM band, well within the tunable range of inexpensive rtl-sdr dongles. This project is a software defined radio receiver for these messages. We make use of an inexpensive rtl-sdr dongle to allow users to non-invasively record and analyze the commodity consumption of their household.
rtl-sdr smart meter amrThe file type is detected by checking the magic number of the buffer.Show your support for this module by buying this excellent Node.js course.
nodejs uint8array buffer magic-numbers file magic file-types detect mime type archive image img pic picture flash photo video check is exif exe binary jpg png gif webp flif cr2 tif bmp jxr psd zip tar rar gz bz2 7z dmg mp4 m4v mid mkv webm mov avi mpg mp3 m4a ogg opus flac wav amr pdf epub mobi swf rtf woff woff2 eot ttf otf ico flv ps xz sqlite xpi cab deb ar rpm z lz msi mxf mts wasm webassembly blend bpg docx pptx xlsx 3gp jp2 jpm jpx mj2 aif odt ods odp xmlRefer to README for opencore-amr info which is from original package. Use build_ios_xcode6.sh to build. Current AppStore submission requires Xcode 7.
amr opencore-amrAllows you easily get meta information about any media file with unified interface. The library has no requirements of external libs or system unitilies. getID3 library is very popular and has a lot of features, but it's old and too slow.
audio video wav flac aac ogg mp3 amr avi mediafiles wma mp4Mirror of MFEM - a lightweight, general, scalable C++ library for finite element methods. Please use the official repository, https://github.com/mfem/mfem, to create issues and pull requests. See also the MFEM website:
finite-elements high-order high-performance-computing parallel-computing amr fem computational-science scientific-computing hpcSAMRAI (Structured Adaptive Mesh Refinement Application Infrastructure) is an object-oriented C++ software library that enables exploration of numerical, algorithmic, parallel computing, and software issues associated with applying structured adaptive mesh refinement (SAMR) technology in large-scale parallel application development. SAMRAI provides software tools for developing SAMR applications that involve coupled physics models, sophisticated numerical solution methods, and which require high-performance parallel computing hardware. SAMRAI enables integration of SAMR technology into existing codes and simplifies the exploration of SAMR methods in new application domains. SAMRAI v. 2.13.0 is now available! The major change is that we no longer use the Boost library. This affects many interfaces in the API that used boost::shared_ptr, which has been replaced by std::shared_ptr.
hpc scientific-computing parallel-computing adaptive-mesh-refinement amr cppAMReX: Software Framework for Block Structured AMR
amrex amrCastro is an adaptive-mesh compressible radiation hydrodynamics code for astrophysical flows. Castro supports a general equation of state, full Poisson gravity, and reactive flows, and is parallelized with MPI + OpenMP. Running this will clone the repositories and create a file castro_exports.sh which you can source or copy to your .bashrc to define the necessary environment variables.
hydrodynamics cfd pde gravity radiation castro amr adaptive-mesh-refinement reactions astrophysical-simulation astrophysicsMaestro solves the equations of low Mach number hydrodynamics for stratified atmospheres/stars with a general equation of state. It includes reactions and thermal diffusion and can be used on anything from a single core to 100,000s of processor cores with MPI + OpenMP.
hydrodynamics reactions cfd pde low-mach amr adaptive-mesh-refinement maestro astrophysics astrophysical-simulation simulation
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