Search Results for "technologies"

protoFramework is a Dassault Aviation software based on a Java library and other modules as described below, and on specific software developed and maintained by Dassault Aviation. This protoFramework aims to simplify the development of prototypes of any types in several languages or technologies (such as Java, C++/C, Groovy, Python, etc..). protoFramework is based on a concept of service-oriented architecture design (“SOA”), which permits the interconnexion of application components through services, using an application protocol managed by the protoFramework.

...It incorporates advanced modeling techniques with high-performance algorithms to deliver the latest in end-use load modeling technology integrated with three-phase unbalanced power flow, and retail market systems. Historically, the inability to effectively model and evaluate smart grid technologies has been a barrier to adoption; GridLAB-D is designed to address this problem. User documentation can be found at: http://gridlab-d.shoutwiki.com/wiki/Quick_links The source code is available from GitHub. See https://github.com/gridlab-d/gridlab-d. Issue tracking is handled by GitHub. See https://github.com/gridlab-d/gridlab-d/issues.

...The design supports various coupling strategies, discretization techniques, and also the distributed applications. The development of MuPIF is at present suppoted by the EU project Multiscale Modelling Platform: Smart design of nano-enabled products in green technologies, http://mmp-project.eu/, project number 604279.

This project contains a standard set of microsimulation models and test configurations for the evaluation of traffic control systems. It also contains an API to enable the straightforward connection of your traffic control system. Use this standard test set to evaluate your traffic control system because it will enable you to benchmark the performance of your system against many others on a level playing field.

NodeWeaver is a tool for generating SystemML Neuronal Networks from Neuronal Network descriptions (these technologies are nascent, so no links yet...). Intended use is to generate SystemML NNs for later execution using a SystemML simulator (e.g. BRAHMS).

...Its main use is for co-design of physical, MAC, and higher layers over different transmission (radio,cable,optical), multiplexing (cdma,fdma,tdma), and user application (m/s,p2p) technologies.