SPECIFIC APPLICATION EMBEDDED SOFTWARE

Brand Owner Address Description
SELF-LEARNING WIRELESS INCNETWORKS, INCORPORATED 198 BRIGHTON AVENUE LONG BRANCH NJ 07740 SPECIFIC APPLICATION OF EMBEDDED SOFTWARE ALGORITHMS CREATING AN INNOVATIVE WIRELESS TECHNOLOGY CONCEPT FOR A WIRELESS SYSTEM FEATURING A FLEXIBLE SOFTWARE RADIO PLATFORM USING RADIO FREQUENCY (RF) ASSIGNMENT AND POWER LEVEL SETTING TECHNIQUES TO LEARN ABOUT ITS RF ENVIRONMENT, THUS CREATING AN OPTIMIZED WIRELESS SYSTEM, THIS OPTIMIZED WIRELESS SYSTEM ADAPTS TO ITS RF ENVIRONMENT USING AN RF SIGNATURE MEASUREMENT TECHNIQUE AND AUTOMATICALLY DETECTS AND RECOVERS THE WIRELESS NETWORK FROM BASE STATION FAILURES USING A RADIO BASE STATION SURVEILLANCE AND FAULT RECOVERY TECHNIQUE;SELF LEARNING WIRELESS;WIRELESS;
 

Where the owner name is not linked, that owner no longer owns the brand

   
Technical Examples
  1. A generic embedded application technology architecture partitions the application software into code and data objects in an optimal way such that: a) a set of embedded software objects and data (non-code with both static and dynamic attributes) define the specific characteristics of the application, the objects and data being disposed under "object files" or "Bytecode"; b) the code is disposed under an entity called a Virtual Engine (VE) (software code), that manipulates (interprets) the embedded software objects and data or information provided by the data objects (i.e., Bytecode) to produce the desired functionality or outputs (information or actions); and c) because of this optimal partitioning, software application development is then reduced to "data object definition" only, since the VE is reusable within a "domain" or application class.