39 results about "Cognitive engine" patented technology

Intelligent technique is an effective method to perform the network resource management. A three layer cascade adaptive neural fuzzy inference system (ANFIS) based intelligent controller is proposed for the mobile wireless network to optimize the maximum average throughput, minimum transmit power and interference for multimedia call services. The proposed intelligent controller is designed with a three layer cascade architecture, which mainly contains an ANFIS rate controller (ARC) in the first layer, an ANFIS power controller (APC) in the second layer and an ANFIS interference controller (AIC) in the third layer. The design aim of the proposed three layer cascade ANFIS cognitive engine is maximizing the average throughput of the mobile wireless network, while minimizing the transmit power and interference power.

The invention relates to a cognitive radio (CR) WiFi network which includes a plurality of radio environment aware WiFi terminals, which collect local WiFi interference information and send this information to a CR network management system (NMS). The CR NMS includes a database for storing historical records of the interference information obtained from the terminals, and cognitive engines for analyzing the stored historical interference records and determining terminal-specific transmission and reception parameters. In one embodiment the network implements a deterministic NMS-directed networks-wide TDD / TDM scheduling of WiFi communications for optimal channel re-use and interference avoidance, and a novel terminal synchronization mechanism.

Autonomous embedded data cognition enables data to perform real-time environmental configuration control, self-manage, perform analysis, determine its current situation, and evaluate behavior to respond accordingly. When created, security measures, and access controls are selected. Highly sensitive data can be extracted and substituted with creator label and / or functional representation. Data-to-data reasoning and analysis can be performed. The processing method comprises autonomous monitoring for a state change and analyzing the current user to determine if the instantiation should exist. If affirmed, the cognition engine automatically configures the computational environment in which it resides. If denied, environmental behavior is further analyzed for security problems or an erroneous situation. If detected, the creator is alerted and provided with incident information enabling remote creator control of the data. Cognitive data can decide to self-destruct mitigating risk of undesirable instantiations. Intelligent Agents, a comprehensive data structure, and intelligent document means are leveraged for implementation.

The systems and methods described herein relate to mapping and identifying expert resources. The systems and methods described herein may provide a set of technologies, that work together as one solution, to effectively and efficiently resolve user questions. A cognitive engine may autonomously learn which experts have the knowledge to quickly solve a question or whether a previous question is similar enough to provide a solution instantly. Using machine learning, a know-how map may be created, linking all of the users of the system with their areas of expertise. Expert resources among the users may be mapped by determining connections between topics (and their corresponding tags) and calculating an expert score related to each topic for each user. These connections and expert scores are subsequently used during expert routing for each new question, to find those users with the expertise to give the best possible solution.

The present invention provides a radio architecture that contains a main radio path and a sensing path. The parameters of the main radio path are controlled by a cognitive engine. The main radio path is tuned to a desired frequency band. The sensing path is used to monitor the spectrum around the desired frequency band. To minimize effects of undesired non-linearity on sensing, sensing path may have a lower gain setting. The cognitive engine determines the optimal setting of the main RF front-end with respect to the current state of the spectrum.

A system having a wearable devices that, together with a cognitive model, are able to analyze a person to determine if they are in the flow and / or guide the person to get into the flow are disclosed.The system and processes help persons to find their unique formula to achieve flow. By using a cognitive AI engine, the system can describe a space of mental states and the actions that cause transitions between them for each individual.