Search Results for "linux space invaders"

Analysis and display software targeted at space physics data. Installation instructions are at the bottom of the FILES directory. See documentation at https://qsas.sourceforge.io/QSAShelp/QSAS_help_index.html See also QSAS_Intro_June2018.pptx under FILES Contact: qsassupp@gmail.com E-Mail lists: qsas-users@lists.sourceforge.net qsas-discuss@lists.sourceforge.net

The goal of DynaQ is to develop an inquiry system to explore the personal information space, supporting you with the searching paradigm 'orienteering'. DynaQ is a (desktop)search engine with enhanced functionality for file, email and blog search. Look at our GitLab homepage for sourcecode and documentation: http://dynaq.opendfki.de

... with query variables to connect Filters and Charts. Capture the snapshot of historical data. Free up space in your own database. Three system level role configurations + Group based report access control. Custom the language pack and translations just for your audience. Auto refresh, drill through, fullscreen, embeds, color themes + more features in development.

This project concerns the design and implementation of an open-source flocking boids simulator, designed as a tool to analyze and characterize flock-like collective emerging behaviors. Each boid is conceived as an active agent and modelled by a point-mass approximation. Boid movements in a 3D space are guided by a set of elementary steering behaviors, each implemented as a force acting on the boid's point mass. Each boid is affected by interactions with both the environment and other boids...

MetricKnn is an open source library to address the problem of similarity search, i.e., to efficiently locate objects that are close to each other according to some distance function. MetricKnn is comprised of: * Command Line, which is able to perform similarity searches through console commands. Available for Windows and Linux. * C API, which provides the implementation of different indexes, distances and search methods. * C++ API, which is a thin C++ wrapper of the C API...

A multiparticle tracking postprocessor library for accelerator physicsists.

... trained with A to summarize a document B, and vice versa. This extracts a relevant structure for both documents (and thus avoids the over-training) which are then compared using the Vector-Space analysis to give a range of belonging of one document to another (and thus avoids the shortage of information). This method can be used to create the user-defined classes by merging texts of certain categories and then to calculate the relevant distances between the documents, but this is not necessary.

ViSBARD (Visual System for Browsing, Analysis, and Retrieval of Data) is an interactive visualization and analysis tool for space physics data. It provides an integrated 3-D/2-D environment to analyze measurements across many spacecraft and MHD models.

The PARSEC CEE is the primary achievement of several years of effort at NASA's Marshall Space Flight Center. The CEE was developed to allow engineers in the Advanced Concepts Department to rapidly prototype launch vehicle and spacecraft concepts.

The kernel network stack may behave not as expected, especially in the case of receiving packets. With Ianus it is possible to bypass the kernel network stack and to develop your own network stack in user space or other tools.

Random Projection Trees is a recursive space partitioning datastructure which can automatically adapt to the underlying (linear or non-linear) structure in data. It has strong theoretical guarantees on rates of convergence and works well in practice.

A code for fast multi-dimensional density estimation . Instead of assuming an a-priori metric definition, it calculates a locally adaptive metric for each data point by using, a Shannon Entropy based, binary space partitioning scheme.

A user-friendly open-source toolkit written in Java that lets you visualize and analyze the behaviour of users in the ActiveWorlds family of 3D virtual worlds by mapping them over 2D space.

This is a implementation of the 'enhanced Topic-based Vector Space Model' (eTVSM) using the python language. A Java-Version and maybe other java-code contributions are planned.

tokyosh is a new kind of login shell. it knows user's context or other environment, and statistically learns command-line input or command usage tendency, user-space-file-name tendency(and anything else). of course it's been developing in Tokyo.