Deductive Database with Datalog, RA, TRC, DRC and SQL
The Datalog Educational System (DES) is a deductive database with Datalog, SQL, Relational Algebra, Tuple Relational Calculus and Domain Relational Calculus as query languages developed mainly for education. It can be used from most common Prolog interpreters over any supported OS and from portable executables (Windows, Linux and MacOS).
Intellect Modeling Kit - full intellect-based apps development suite
Intellect Modeling Kit is an alternative to traditional Artificial Intelligence, intended to build apps assisting human intellect on the steps of its activity: * Observation * Producing propositions based on knowledge * Elimination of impossible propositions * Selection and verification of the most appropriate propositions * Memorizing - converting data to information and new knowledge item creation * Abstraction finding – building artificial objects, representing group of real objects featuring typical signs of group Any human knowledge written and spoken can be uploaded to IMK in a straight way by any expert not familiar with software coding. The IMK components are designed to create ready-to-use software application using simple text files provided by people. IMK accepts human knowledge and develops new knowledge together with people. The activity of IMK could be verified by human expert on every stage. IMK assists intellectual activity, but does not replace us.
An innovative Open Source CEP (Complex Event Processing) engine. It implements the event stream processing as a library embeddable in C++ and Perl. You can think of the Complex Event Processing engine as an in-memory database driven by triggers, or a data-flow machine, or a spreadsheet on steroids (and without the GUI part).
on-disk memory library using meta-data
meta-treedb can implement malloc functionality, and much more! Need a heap that allocates of a fixed size chunk of memory? No problem. But where treedb comes into its own is when it comes to allocating from a mmap()ed disk file - the memory becomes persistent. If you follow the tests/examples, you too can store dictionaries, trees, lists or whatever you can think of in disk-based memory, just an open() and mmap() away. Meta-treedb comes with an AVL tree, doubly-linked-list and variable-entry-sized-array implementations for you to use in your data structures. So, what distinguishes meta-treedb from treedb? * "class" interfaces for treedb collections These are vtables (virtual function tables) that implement th interface. * faster compiles - only the "class" interfaces are visible to client code This is at the expense of a small performance hit. * the ability to use implementations that were developed after client code was compiled.
GSN is a middleware (extendible software infrastructure) for rapid deployment and integration of heterogeneous wireless sensor networks. It is tested with Mica2, Mica2Dot, TinyNodes, Wisenode ,Wired & Wireless cameras, several RFID readers,...