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Virgil Security is presenting an implementation of the [Double Ratchet](https://signal.org/docs/specifications/doubleratchet/) algorithm, which is used by parties to exchange encrypted messages based on a shared secret key. The implementation includes: - **Virgil Perfect Forward Secrecy (PFS) service** – a standalone web-service that is dedicated to managing one-time keys and long-time keys that are based on their Identity Public Keys (public keys that are contained in user cards published on Virgil Cards service); - **Ratchet SDK** – interacts with PFS service for publishing and managing one-time keys and long-time keys and interacts with Virgil Cards service for retrieving user's indentity cards which the OTK and LTK are based on. The parties derive new keys for every Double Ratchet message so that previous private keys cannot be calculated from new ones. The parties that participate in the communication also send Diffie-Hellman public values attached to their messages. The results of Diffie-Hellman calculations are mixed into the derived keys so that the new private keys cannot be calculated from the previous ones.

The Data Highway is a service that allows data to be easily landed and consumed via REST interfaces which accept and produce JSON messages. The data is first defined using a schema and a "road" is created which will accept data messages that conform to this schema. Producers of data sets thus only need to define the structure of their data and are then able to send their data to a REST endpoint and not be too concerned with what happens next. The Data Highway will ensure that this data is made available for downstream streaming consumption and also stored reliably in a "data lake" in the cloud for access by various end users.

Jadex XML is an XML data binding framework for Java and also for other representations. The main idea of Jadex XML is that neither the XML-Schema on the one side nor the Java classes on the other side should define other binding. Instead, a separate mapping between both is used as a mediation. This allows designing the XML representation independent of the Java side but still being able to connect both as desired. This idea was first put forward by the JiBX data binding framework. Jadex XML pushes it further by combining it with the configuration by exception principle. The framework can detect obvious correspondences between both sides automatically and only needs configuration information when translations are necessary. The configuration information is currently specified directly in form of Java configuration classes.

This library contains native facade implementations of the JBrew utility libraries with the Java Native Interface (JNI). This set of libraries features specific optimizations for Unix-based systems in terms of performance and memory. This is achieved through careful tuning using the C programming language to not only control for garbage collection, but also to ensure maximum performance for elected library features. This library in particular features example usages of the JNI in order to test hardware for usability.

This library contains native facade implementations of the JBrew utility libraries with the Java Native Interface (JNI). This set of libraries features specific optimizations for Unix-based systems in terms of performance and memory. This is achieved through careful tuning using the C programming language to not only control for garbage collection, but also to ensure maximum performance for elected library features. This library in particular features example usages of the JNI in order to test hardware for usability.

This library contains native facade implementations of the JBrew utility libraries with the Java Native Interface (JNI). This set of libraries features specific optimizations for Unix-based systems in terms of performance and memory. This is achieved through careful tuning using the C programming language to not only control for garbage collection, but also to ensure maximum performance for elected library features. This library in particular features example usages of the JNI in order to test hardware for usability.

ANNIS is an open source, versatile web browser-based search and visualization architecture for complex multilevel linguistic corpora with diverse types of annotation. ANNIS, which stands for ANNotation of Information Structure, has been designed to provide access to the data of the SFB 632 - "Information Structure: The Linguistic Means for Structuring Utterances, Sentences and Texts". Since information structure interacts with linguistic phenomena on many levels, ANNIS addresses the SFB's need to concurrently annotate, query and visualize data from such varied areas as syntax, semantics, morphology, prosody, referentiality, lexis and more. For projects working with spoken language, support for audio / video annotations is also required.