Implementation Model

DB Visual ARCHITECT (DB-VA) offers software developers an excellent solution for database applications development. DB-VA is an Object-Relational Mapping tool which provides an easy-to-use environment bridging between object model, data model and relational database. DB-VA not only empowers you... Platforms: Mac

DB Visual ARCHITECT (DB-VA) offers software developers an excellent solution for database applications development. DB-VA is an Object-Relational Mapping tool which provides an easy-to-use environment bridging between object model, data model and relational database. DB-VA not only empowers you... Platforms: Mac

MyConnection Server measures the quality and performance of network connections and provides the information to help identify and resolve the problems that deliver a poor customer experience. A broad set of deployment options deliver a cost effective solution for businesses from small to medium... Platforms: Windows

The Atomic Memory Model is a powerful methodology which handles memory in a consistent, elegant, simple and highly effective way, greatly increasing the quality of code and speed of development. By abstracting the memory and representing it as an encapsulated entity, one can eliminate all of the... Platforms: Windows, Mac, *nix, Windows CE, Pocket PC, DOS, Other,Android,BlackBerry,iPhone,iPod,iTouch,Palm,Palm OS 6.0,Not Applicable,Handheld/Mobile Other,Java

Simulates a Multifractal Model of Asset Return using a multiplicative lognormal cascade See the following papaer A Multifractal Model of Asset Returns by B Mandelbrot - 1997The current implementation uses the generator for the fractional brownian motion from B. Scott Jackson. Many thanks! Platforms: Matlab

The Breaking the AES Cipher Model encrypts a plaintext message using AES encryption and attempts to break this encryption using a plaintext attack. The attacker (Eve) obtains both the plaintext and the cyphered text for a message between two people, Alice and Bob, and systematically encrypts the... Platforms: Mac

The Decision Assistant Model Excel allows you to value a decision and determine the impact on your business. It calculates the range of possible outcomes for your decision, their likelihood of occurring, the average outcome, and the probability of the outcome being positive (profitable). It... Platforms: Windows, Other

JSBSim Flight Dynamics Model is an open source flight dynamics model (FDM) that compiles and runs under many operating systems, including Linux, Apple Macintosh, Microsoft Windows, Linux, IRIX, Cygwin (Unix on Windows), etc. The FDM is essentially the physics/math model that defines the... Platforms: *nix

Yukatan data model project is the schema definition of the Yukatan webmail database. The PostgreSQL database structures defined in this file can be used as a backend store of an email message handling application. The database should be created with the "UNICODE" encoding to properly support... Platforms: *nix

SDOM is an attempt to provide a complete implementation of the W3C Document Object Model level 3 API, including event handling, in Scheme, as an extension of the SXML API. SDOM holds to SXMLs conventions regarding the representation of structured XML as S-lists and conforms to SXMLs grammar... Platforms: *nix

UMMF::UML::MetaMetaModel is an implementation of the UML Meta-Meta-Model (M3). SYNOPSIS use UMMF::UML::MetaMetaModel; my $factory = UMMF::UML::MetaMetaModel->factory; my $model = $factory->create(Model); $factory->create(Class, name => Foo, namespace => $model); ... This package... Platforms: *nix

ANUGA is a software implementation of a hydrodynamic model that is specifically designed to model wetting and drying processes.. Get ANUGA - Hydrodynamic Modelling at SourceForge.net. Fast, secure and free downloads from the largest Open Source applications and software directory. ANUGA is a... Platforms: *nix

DomSax is an implementation of a XML-parser based on the standard Document Object Model principle (and suns implementation), combining it with the flexibility and possibility of low memory consumption of the SAX-parser (also suns implementation). Based on the fact that most XML-documents... Platforms: *nix

A graphing calculator implementation of the Black-Scholes Option Pricing Model, with extensions for both American Style Options and Extreme Value Theory. Platforms: Windows, Mac, Linux

The models included shows three different ways to implement a kalman filter in Simulink(R). The first uses the kalman function in control system toolbox to design a steady state kalman filter. The second is an embedded MATLAB(R) block implementation. The third is an implementation is pure basic... Platforms: Matlab

Matlab implementation of a monodomain reaction-diffusion model in 2-D. The model equations are a variant of the Fitzhugh-Nagumo equations modified to simulate the cardiac action potential. The progression of the two normalized state variables, membrane voltage (v) and recovery (r), is computed... Platforms: Matlab

Matlab implementation of the computer model of atrial fibrillation originally published by Gordon Moe and colleagues in [American Heart Journal 1964; 67(2):200-220.] To run the simulation, just type the function name (afib). It accepts no input or output arguments. Several model parameters can be... Platforms: Matlab

Using Simulink for Model-Based Design can shorten the design cycle of embedded systems and hardware products. By offering a unified environment to explore design tradeoffs, and eventually to implement and verify a design on target hardware, including GPPs, DSPs, and FPGAs, you will be able to... Platforms: Matlab

The most popular induction motor models is the Kraused-deOaos model. This model is implemented from the equations derived from the equivalent circuit in Krause's model. To simulate the model in Simulink, the model has to be initialized first. A file containing all the machine parameters has to be... Platforms: Matlab

To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight in BayesPI, namely Laplace prior and Cauchy prior, by using the evidence approximation method. In addition, we divided... Platforms: Matlab