The goal of Funani is to solve the management of large image and other media collections in a practical way. To help you find the data you want in big data collections, this software allows you to sort it in many different ways. Advanced queries on dates, locations, events, or people, or more generically categories and tags, allow you to narrow the search quickly. Funani can be thought of primarily as a safe. Every file put into the system remains in the system. It is an additive system, which makes unintended deletion impossible. A maintenance mode can still remove unwanted files, but standard users cannot perform this operation. Funani is also a framework designed for extensibility. When new features are requested, they can be implemented by adding new functionality and leaving the existing system alone. Each feature is completely isolated from others as long as it does not depend on them.
iMorph is cross platform 3D image analysis software. It permits the morphological characterization of porous media, and more precisely cellular materials. The first step of the analysis is a macroscopical characterization of the different phases. It allows porosity, tortuosity, and specific surface measurement. The anisotropy is also quantified at the sample scale. In a second step, the software gives a morphological study at the pore scale. Automatic methods for cell extraction give access to shape analysis, classification, and orientation. Moreover, it permits a local voxel classification in order to identify local shape such as shell, plates, and rods. Finally, the software gives a topological description by generating the graphs of both the solid and fluid phase. The human interface is intuitive and can be used by a non-expert of image processing. 3D visualization uses OpenGL libraries and allows interaction with segmented objects. An XML samples database is used to store results belonging to a region of interest in the media.
Active Insight is an ESP/CEP (Event Stream Processing/Complex Event Processing) framework for real-time, value-based detection and reaction to events and patterns. It offers a distributed (cloud ready) event processing runtime with an embedded pattern engine to support event aggregation and correlation. Active Insight simplifies the development of distributed event processing using the plain old Java object (POJO) approach where events and event processors are plain Java objects wired by Spring dependency injection. The framework can be used for various applications such as homeland security, online behavioral targeting, advertising, fraud detection, SIEM, telematics, algorithmic trading, and others.
Window Switch is a tool that allows you to move applications between networked computers. The windows appear where you need them, as they were. You no longer need to save and send documents to move them around; simply move the view of the application to the machine where you need it.
Freeseer a video capture utility capable of capturing presentations or demos. It can capture USB, firewire, local desktop, and more. It captures video and audio and mixes them together to produce a video, thus enabling you to capture great presentations, demos, or training material easily.
Java distributed framework is a framework for distributed grid and / or volunteer computing. It's divided into a server and client library. You can create new or implement it into existing applications in no time; you don't need knowledge about network connections, sockets, etc. The Framework does almost everything automatically. It provides secure automatic client <-> server communications, unique IDs, automatic resending of jobs to new clients if needed, user stats, and much more. The client framework supports the detection of the computer's user state (idling, away, online, etc.). It also offers many other useful features and helpers for developing a distributed client application.
AppDynamics an application performance management solution for mission-critical Java applications. It can organize user requests and business transactions, monitor business transaction health, identify and diagnose slow requests, identify and diagnose errors, and drill down. It is built from the ground up for highly distributed service-oriented environments. It has fast root cause diagnostics at the method/class level, but creates no more than 2% overhead, even in high-volume production deployments. It can not only manage applications, but dynamically scale them in cloud and virtual environments.