Free analysis of variance software for linux

Analysis of Reinforced Concrete Elements will assist its user to find out capacity of various Reinforced Concrete Structural Elements.

The following professionals are the target audience:

Structural Engineers
Civil Engineers
Architect
Builders

Installation:

The software is web-based, so you need web-server (Apache) running with PHP. The installaton is very simple. If your document root is /var/www/html , then on uncompressing downloaded compressed file in this "document root", the URL for ARCE application become: http://YourWebSite/arce/

Directory Analysis Tool is used to analyze LDAP directories and report on their contents.

Useful if you want to find inactive accounts, people who havent changed passwords, or who has administrator privileges.

BASE is the Basic Analysis and Security Engine. It is based on the code from the Analysis Console for Intrusion Databases (ACID) project.
This application provides a web front-end to query and analyze the alerts coming from a SNORT IDS system.
BASE is a web interface to perform analysis of intrusions that snort has detected on your network. It uses a user authentication and role-base system, so that you as the security admin can decide what and how much information each user can see. It also has a simple to use, web-based setup program for people not comfortable with editing files directly.
BASE is supported by a group of volunteers. They are available to answer any questions you may have or help you out in setting up your system. They are also skilled in intrusion detection systems and make use of that knowledge in the development of BASE.
Enhancements:
- This release fixes a number of bugs with PHP 5.
- It also adds a number of new features.

Market Analysis System (MAS) is an open-source software application that provides tools for analysis of financial markets using technical analysis.
Market Analysis System provides facilities for stock charting and futures charting, including price, volume, and a wide range of technical analysis indicators. Market Analysis System also allows automated processing of market data - applying technical analysis indicators with user-selected criteria to market data to automatically generate trading signals - and can be used as the main component of a sophisticated trading system.
Main features:
- Includes basic technical analysis indicators, such as Simple Moving Average, Exponential Moving Average, Stochastic, MACD, RSI, On Balance Volume, and Momentum.
- Includes more advanced indicators, such as Standard Deviation, Slope of EMA of Volume, Slope of MACD Signal Line, Bollinger Bands, and Parabolic SAR.
- User can create new technical analysis indicators, including complex indicators based on existing indicators.
- User can configure criteria for automated trading-signal generation.
- Creation of weekly, monthly, quarterly, and yearly data from daily data.
- Handles intraday data.
- Handles stock and futures data.
- Accepts input data from files, from a database, or from the web. (Includes a configuration for obtaining end-of-day data from yahoo.com.)
- Can be configured and run as a server that provides services for several clients at a time running on remote machines.

SAGA comes from System for Automated Geoscientific Analyses- is a hybrid GIS software. The first objective of SAGA is to give (geo-)scientists an effective but easy learnable platform for the implementation of geoscientific methods, which is achieved by SAGAs unique Application Programming Interface (API).
The second is to make these methods accessible in a user friendly way. This is mainly done by the Graphical User Interface (GUI).
Together this results in SAGAs true strength: a fast growing set of geoscientifc methods, bundled in exchangeable Module Libraries.The figure shows SAGAs system architecture.
SAGA is written in the widespread and powerful C++ programming language and follows an object oriented approach. Moreover it relies on the GNU Public License, which means it is an open source project.
All this designates SAGA to be a first choice tool for everybody who works in the field of geosciences, in particular for those who want transparent state of the art methods.
Main features:
- File access: interfaces to various table, vector, image and grid file formats.
- Filter for grids: gaussian, laplacian, multi direction lee filter...
- Gridding: interpolation from vector data using triangulation, nearest neighbour, inverse distance...
- Geostatistics: residual analysis, ordinary and universal kriging, single and multiple regression analysis, variance analysis...
- Grid calculator: combine grids through user defined functions...
- Grid discretisation: skeletonisation, segmentation...
- Grid tools: merging, resampling, gaps filling...
- Image classification:cluster analysis, box classification, maximum likelihood, pattern recognition, region growing...
- Projections:various coordinate transformations for vector and grid data (using Proj4 and GeoTrans libraries), georeferencing of grids.
- Simulation of dynamic processes: TOPMODEL, nitrogen distributions, erosion, landscape development...
- Terrain analysis:slope, aspect, curvatures, curvature classification, analytical hillshading, sink eliminition, flow path analysis, catchment delineation, solar radiation, channel lines, relative altitudes...
- Vector tools: polygon intersection, contour lines from grid...
- And more...

TA-Lib provides common functions for the technical analysis of stock/future/commodity market data.
TA-Lib can be reused by trading software developers using Excel, .NET, Java, Perl or C/C++.
Main features:
- More than 120 technical analysis indicators such as ADX, MACD, RSI, Stochastic, Bollinger Bands etc...
- bullet Includes candlestick pattern recognition.
- bullet Optional abstract interface allowing your code to support new technical analysis functions without any code change!
Enhancements:
New Features
- New Functions: BETA, MINMAX, MINMAXINDEX, MININDEX, MAXINDEX
- Debian and RPM packaging available.
- Java JAR packaging available.
- New TA_FunctionDescription() returns XML description of API.
- New ta_func_api.xml file generated in root directory of the package.
- Support for unmanaged static libraries with Visual Studio 2005.
Fixes
- #1526632 : Fix bug in LINEARREG_ANGLE
- #1544555 : Now do proper divide by zero detection in TA_ADX
Other Changes
- Better Java/.NET naming convention.
- ta_func_list.txt moved in root directory of the package.
- Removed dependencies on trio and Mersenne Twister functions.
- Volume and Open Interest are now double instead of integers.
- Add license specific to Excel users.

The Analysis & Reconstruction Sound Engine also known as ARSE, is a program that analyses a sound file into a spectrogram and is able to synthetise this spectrogram, or any other user-created image, back into a sound.
The ARSE consists in two main parts, a spectrographer with a base-2 logarithmic frequency scale, and a spectrogram synthetiser.
Unlike most spectrographers which are based on STFTs and perform the analysis by cutting the signal into small time slices to analyse these slices in the frequency domain, the ARSE is based on a filter bank followed by envelope detection, which means that the signal is cut into small frequency-domain slices, and then analysed in the time domain.
The filter bank is, as of now, made up with overlapping bandpass FIR filters defined logarithmically. Once the original signal is filtered with the filter bank, each resulting signal is sent to envelope detection.
Envelope detection in the ARSE isnt based on a Hilbert transform and peak detection, as its usually done. To achieve envelope detection, we first perform a FFT on the signal, zero-pad the beginning of the signal in the frequency domain according to a user-defined setting, then we perform an IFFT, and, now in the time domain, we turn every negative sample into a positive one, and we low-pass filter (and eventually decimate) the signal according to the same user-defined setting as we previously used.
For instance, lets say we have a signal with a sampling frequency of 44,100 Hz, and that we want to obtain an envelope for it which sampling frequency would be 100 Hz. Once we perform the FFT, we add enough zeroes in the frequency domain at the beginning of our signal so that every frequency component shifts by 50 Hz (100 Hz divided by two, it will later appear obvious why), and we perform an IFFT. Our signal now has a sampling frequency of 44,200 Hz (44,100 + 100 Hz), and the original signal which previously spanned from 0 Hz to 22,050 Hz now spans from 50 Hz to 22,100 Hz.
Now we turn every time-domain sample into its absolute value by turning every negative sample into a positive one. To perform this on a signal means that, for example, a sine wave of a certain frequency would become a signal which periodicity would be twice that frequency. Once we low-pass filter that signal to twice that frequency we obtain that signals envelope. In our case, now that we have obtained the absolute values for our signal, since the periodicity of a sine at the lowest frequency - 50 Hz - would now be 100 Hz, we only low-pass filter our signal at 100 Hz to obtain the original signals envelope. We can now decimate the signal to a sample rate of 100 Hz.
The resulting envelope for each frequency band makes the horizontal lines of the image representing the spectrogram. The amplitude of the envelopes translate linearly into intensity in the image.
The spectrogram synthetiser is based on modulation using horizontal lines of the image as envelopes. Each horizontal line is upsampled to the sampling rate of the desired final signals sampling rate, and is then modulated with, depending on the synthetisation mode chosen by the user, sines matching to the central frequency each horizontal line represents, or noise filtered through the filter bank.
Enhancements:
- Replaced fixed phase sine generation with random phase sine generation
- Changed the PRNG
- Removed the unused code
- Removed every call of nearbyint() due to compatibility issues
- Included the necessary files in order to make using ./configure && make && make install

Quake III Arena Cell Shadings goal is to add Cell Shading capabilities to the Quake III engine with Real-time performance.

In order to provide such feature we have decided to use Kuwahara filter. Kuwahara filter is a noise-reduction filter that preserves edges.

It uses four subquadrants to calculate the mean and variance and chooses the mean value for the region with the smallest variance.

To increase the hand-painted effect we have decided to apply a simple blur filter to reduce hard-edges on textures and increase the flatness effect.

To produce the cell shading edege effect we use no gfx card shaders, so our implementation could run with almost any gfx card. This effect is produced by painting backface polygons with a thick wireframe without textures and repaint all the scene, but this time, with textures.

To test our modified engine just place our binary in your games folder to frag all day long!

Ensure you have a copy of Quake 3 Arena installed on your PC. Youre going to need the artwork/content from the game because it is not redistributable.