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JTransforms is the first, open source, multithreaded FFT library written in pure Java. Currently, four types of transforms are available: Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Sine Transform (DST) and Discrete Hartley Transform (DHT). The code is derived from General Purpose FFT Package written by Takuya Ooura and from Java FFTPack written by Baoshe Zhang.

This library reads song information, such as song title, artist, and album, from an MP3 file. It supports ID3v1, ID3v1.1, Lyrics3v1, Lyrics3v2, ID3v2.2, ID3v2.3, and ID3v2.4 tags. MP3 Frame Headers can also be read. There is a FilenameTag, a ID3v2.4 tag that is intelligently derived from the file name. It contains tag synchronization utilities, multiple save options, and easy tag conversion methods.

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.

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.

JTransforms is the first, open source, multithreaded FFT library written in pure Java. Currently, four types of transforms are available: Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Sine Transform (DST) and Discrete Hartley Transform (DHT). The code is derived from General Purpose FFT Package written by Takuya Ooura and from Java FFTPack written by Baoshe Zhang. This version has been modified to daemonize threads and stop any application using the library waiting after execution has finished, and is based on revision 29 of the svn version of the code from 2014-05-18.

Provides a time series forecasting environment for Weka. Includes a wrapper for Weka regression schemes that automates the process of creating lagged variables and date-derived periodic variables and provides the ability to do closed-loop forecasting. New evaluation routines are provided by a special evaluation module and graphing of predictions/forecasts are provided via the JFreeChart library. Includes both command-line and GUI user interfaces. Sample time series data can be found in ${WEKA_HOME}/packages/timeseriesForecasting/sample-data.

AIPARK offers detailed parking information for more than 1.8 Mio parking areas in Germany with nationwide coverage. Additionally, accurate occupancy predictions are derived using data from a network of more than 5 million smartphones. Use the AIPARK API Explorer application to try out and test the interface. Please send a request via email if you are a developer and require an API key. We'll be in touch with you shortly. This application is provided via a demo backend environment. Please note that API load tests do not reflect the performance of the productive system. Mail: [email protected]

AIPARK offers detailed parking information for more than 1.8 Mio parking areas in Germany with nationwide coverage. Additionally, accurate occupancy predictions are derived using data from a network of more than 5 million smartphones. Use the AIPARK API Explorer application to try out and test the interface. Please send a request via email if you are a developer and require an API key. We'll be in touch with you shortly. This application is provided via a demo backend environment. Please note that API load tests do not reflect the performance of the productive system. Mail: [email protected]

iServe Integrated Engine provides a complete an integrated local version of iServe to be used within Java Applications. This module provides integrated programmatic access for the deployment and interaction with iServe engines. iServe is what we refer to as service warehouse which unifies service publication, analysis, and discovery through the use of lightweight semantics as well as advanced discovery and analytic capabilities. iServe provides the typical features of service registries and additional functionality that exploits service descriptions, service annotations and further data gathered and derived from the analysis of these descriptions, data crawled from the Web, periodic monitoring and user activities.

iServe is what we refer to as service warehouse which unifies service publication, analysis, and discovery through the use of lightweight semantics as well as advanced discovery and analytic capabilities. iServe provides the typical features of service registries and additional functionality that exploits service descriptions, service annotations and further data gathered and derived from the analysis of these descriptions, data crawled from the Web, periodic monitoring and user activities. iServe builds upon lessons learnt from research and development on the Web and on service discovery algorithms to provide a generic semantic service registry able to support advanced discovery over both Web APIs and WSDL services described using heterogeneous formalisms.