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39 results about "Cognitive engine" patented technology
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Cognitive-Engine. The cognitive engine - the intelligent system behind the cognitive radio, combines sensing, learning, and optimization algorithms to control and adapt the radio system from the physical layer and up the communication stack.
Cognitive WIFI radio network
InactiveUS20120257585A1Avoid interferenceAvoid radio interferenceNetwork topologiesWireless commuication servicesTelecommunicationsRadio networks
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.
Owner:HER MAJESTY THE QUEEN & RIGHT OF CANADA REPRESENTED BY THE MIN OF IND THROUGH THE COMM RES CENT
System and method of data cognition incorporating autonomous security protection
ActiveUS20090007227A1Reduce errorsReduce incidenceDigital data processing detailsUser identity/authority verificationAuto-configurationSelf-destruct
Autonomous embedded data cognition enables data to perform real-time environmental configuration control, self-manage, perform analyses, 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.
Owner:AZOS AI
Cognitive MIMO Radar with Multi-dimensional Hopping Spread Spectrum and Interference-Free Windows for Autonomous Vehicles
InactiveUS20180149730A1Restore clean imageInterference cancellationElectromagnetic wave reradiationRadio wave reradiation/reflectionMulti inputInterference free window
This invention is related to a cognitive Multi-Input Multi-Output (MIMO) radio frequency (or laser) radar with large-area synchronized multi-dimensional hopping spread spectrum and Interference-Free Windows (IFWs) for autonomous vehicles comprising of (1) analog component; (2) digital baseband component; (3) multi-dimensional hopping code generator; (4) large-area time synchronization; (5) cooperative IFW; and (6) cognitive engine. The new MIMO radar can provide interference-free environmental perception intelligently by the multi-dimensional IFWs formulated by beat-frequency hopping, beat-time hopping, discrete sequence (DS), cooperative IFW, array processing, and image denoising and fusion, etc. This invention increases the frequency efficiency greatly, and be applied to autonomous vehicles and robotics under sparse, dense, mixed autonomous and human driving, or completely autonomous driving environments.
Owner:LI WENHUA +1
Three layer cascade adaptive neural fuzzy inference system (ANFIS) based intelligent controller scheme and device
ActiveUS20140087749A1Efficient managementLarge throughputPower managementCriteria allocationNetwork resource managementTransmitted power
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.
Owner:YUAN ZE UNIV
Communications Control Method And Apparatus
InactiveUS20080139167A1Exposure was also limitedLower success rateCalling susbscriber number recording/indicationChaos modelsCognitionCommunication control
A communications controller is provided for empowering the user of a communications device, such as a telephone or other device, to assume control over incoming communications. Each originator of a communication is identified by unique identification information as information associated with an incoming communication. The user of a receiving communication device selects one of a plurality of different priority levels for a particular originator of a communication. The user also selects block time intervals for each priority to indicate times during which communication will not be passed to user's communications device or other appropriate action is to be taken. When that particular originator of a communication initiates a communication to the user, the user's communication controller determines the originator's identification information and recalls the priority and corresponding blocking time interval for that particular identity. The communication is accordingly permitted to alert the user or blocked with the exception of conditional filtering. Conditional filtering permits the originator of a communication to send a conditional communication along with situational awareness information that is processed specifically for the particular situation. Conditional filtering includes the case of an emergency communication that would override normal communication control. A cognition engine is used to support conditional communication along with an event session. Intelligent data is created and used to support said event sessions.
Owner:AZOS AI
Three layer cascade adaptive neural fuzzy inference system (ANFIS) based intelligent controller scheme and device
ActiveUS9077491B2Efficient managementLarge throughputPower managementEnergy efficient ICTNetwork resource managementTransmitted power
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.
Owner:YUAN ZE UNIV
Apparatus and method for dynamically allocating radio resource
ActiveUS20100022264A1Easy to useEliminate channel congestionNetwork traffic/resource managementAssess restrictionCommunications systemComputer science
The invention relates to a communication device and method that dynamically uses frequency resources, and more particularly, to a mobile terminal and a communication method that can dynamically allocate frequencies. The mobile terminal, which can dynamically allocate frequencies includes a communication module including a cognitive engine and a communication system block. The cognitive engine searches frequency bands based on both specific frequency policy and a service chosen by the user and selects a specific frequency band from the searched frequency bands. The communication system block includes a platform block for performing configuration for the selected frequency band and at least one component block for performing data processing based on a specific protocol according tox the configuration of the platform block.
Owner:LG ELECTRONICS INC
Cognitive WiFi radio network
InactiveUS8923225B2Network topologiesWireless commuication servicesRadio networksInterference (communication)
Owner:HER MAJESTY THE QUEEN & RIGHT OF CANADA REPRESENTED BY THE MIN OF IND THROUGH THE COMM RES CENT
Cognitive Engine for Use within a Cognitive Environment
ActiveUS20150356423A1Data processing applicationsDigital computer detailsInformation processingData stream
A cognitive information processing system which includes a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus. The computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; and, processing the cognitive graph, the processing the cognitive graph providing cognitive insights.
Owner:TECNOTREE TECH INC
Methods and systems using cognitive artifical intelligence to implement adaptive linguistic models to process data
Techniques are disclosed for analyzing and learning behaviors based on acquired sensor data. A neuro-linguistic cognitive engine performs learning and analysis on linguistic content (e.g., identified alpha symbols, betas, and gammas) obtained by a linguistic model that clusters observations to generate the linguistic content. The neuro-linguistic cognitive engine compares new data to learned patterns stored in short and longer-term memories and determines whether to issue special event notifications indicating anomalous behavior. In one embodiment, condition(s) may be generated for new data and checked against inference nodes of an inference network. Inference nodes matching the condition(s) are executed to, e.g., compare the new data with the learned patterns, with output from the inference nodes being used to generate additional condition(s) that are again matched to inference nodes which may be executed.
Owner:INTELLECTIVE AI INC
System and method of data cognition incorporating autonomous security protection
ActiveUS9038193B2Reduce errorsReduce incidenceDigital data processing detailsAnalogue secracy/subscription systemsAuto-configurationSelf-destruct
Owner:AZOS AI
Electronic countermeasure reconnaissance system architecture based on heterogeneous cognitive sensor network
PendingCN111490848AImprove threat awareness and identification capabilitiesIncrease flexibilityCommunication jammingFeature extractionTarget signal
The invention discloses an electronic countermeasure reconnaissance system architecture based on a heterogeneous cognitive sensor network. Distributed software-defined reconfigurable electronic reconnaissance equipment performs threat perception on a complex electromagnetic environment; a threat signal feature extraction module performs feature extraction and modeling on the target signal; a target state and behavior characteristic recognition module is used for recognizing a target state and target electromagnetic behavior characteristics; a threat signal sorting module sorts the threat signals according to known threats, unascertained threats and networking threats; a threat autonomous identification module performs threat identification and threat level judgment on the known threat based on a knowledge base; an electronic countermeasure reconnaissance cognitive engine identifies and deduces unascertained threats and networking threats based on an inference engine; and a backbone node reconnaissance resource dynamic management module carries out functional parameter dynamic reconstruction and optimal scheduling on the sensing nodes, so that the threat sensing identification capability of the electronic countermeasure reconnaissance system and the utilization efficiency of reconnaissance resources are improved.
Owner:NAVAL AVIATION UNIV
Method for intelligently sensing unascertained threat electromagnetic behavior by cognitive sensor network
PendingCN111476288AImprove threat awareness and identification capabilitiesIncrease flexibilityCharacter and pattern recognitionInference methodsFeature extractionMathematical model
The invention discloses a method for intelligently sensing an unascertained threat electromagnetic behavior by a cognitive sensor network. The method comprises the steps: performing feature extractionon a target through a threat signal feature extraction module and establishing a target state and behavior feature model; enabling a threat signal sorting module to carry out main sorting on pre-sorted targets based on target states and behavior features; enabling the target state and behavior feature identification module to perform known threat target state identification and target electromagnetic behavior feature identification based on a threat signal sorting result; enabling an electronic countermeasure reconnaissance cognitive engine inference engine to perform target state and electromagnetic behavior feature inference identification on unascertained novel threats and networking threats based on an information game mathematical model, and outputting identification information suchas a target type, a working state and identification confidence. According to the method provided by the invention, the state information of the observable signal can be more systematically used foridentifying an unascertained threat state, the coupling influence of a complex electromagnetic environment and an adaptive threat on electronic countermeasure reconnaissance is reduced, and the electronic countermeasure reconnaissance efficiency is improved.
Owner:NAVAL AVIATION UNIV
Cognitive hf radio with tuned compact antenna
ActiveUS20180159642A1Radiating elements structural formsScatter propogation systemsImpedance matchingCognitive engine
A cognitive HF radio is disclosed having a cognitive engine that optimizes HF transmission parameters on the basis of learned experience with previous transmission under varying transmission and environmental conditions. Additionally, electrically small HF antennas optionally using non-Foster matching elements are disclosed. Furthermore, another electrically small HF antenna and associated impedance matching networks are disclosed, including an impedance matching network using non-Foster matching elements.
Owner:VITESCO TECH USA LLC +1
Cognitive moderator for cognitive instances
PendingUS20190073598A1Save precious resourcesDeep and more sophisticated response generationMachine learningKnowledge representationHuman–computer interactionArtificial intelligence
A method includes receiving a first query by a computing device and assigning the first query to a plurality of cognitive engines, wherein each of the plurality of cognitive engines include different characteristics for processing data. The method also includes, responsive to receiving a response from each of the plurality of cognitive engines for the first query, comparing the received responses from the plurality of cognitive engines. The method also included responsive to determining a difference between a first response from a first cognitive engine and a second response from a second cognitive engine is above a predetermined threshold value, performing a response mediation process until the difference is below the predetermined threshold value. The method also includes selecting a first final response from the received responses for the first query and the second query and displaying the first final response to a user.
Owner:IBM CORP
Cognitive engine for use within a cognitive environment
ActiveUS10325209B2Data processing applicationsInference methodsInformation processingComputer network
A cognitive information processing system which includes a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus. The computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; and, processing the cognitive graph, the processing the cognitive graph providing cognitive insights.
Owner:TECNOTREE TECH INC
Cognitive system based on combination of active sensing and passive sensing for self-organizing network
ActiveCN107948984AImprove survivabilityImprove reliabilityNetwork topologiesTransmission monitoringFrequency spectrumTransmission technology
The invention discloses a cognitive system based on combination of active sensing and passive sensing for a self-organizing network. The system comprises a cognitive engine and a communication module,wherein the communication module fulfills physical functions of a communication protocol stack; the cognitive engine comprises spectrum sensing and a dynamic spectrum access control center; the spectrum sensing completes the active sensing and the passive sensing of electromagnetic environment information; and the dynamic spectrum access control center comprises a scheduler, a time slot manager,a frequency controller, a frequency decision maker, and a convergence processor. The system provided by the invention is applied to the self-organizing network, and has the advantages that the invulnerability, communication reliability, self-adaptability and interference resistance of the network can be improved; and a specific engineering implementation method for the promotion and application ofcognitive transmission technologies in the self-organizing network is provided, so that a certain foundation for researches and discoveries in intelligent wireless communication networks is laid, andcertain reference value for future non-configured, autonomous and intelligent network communication is achieved.
Owner:NO 30 INST OF CHINA ELECTRONIC TECH GRP CORP
Weight-based HeNB interference coordination method
The present invention discloses a weight-based HeNB interference coordination method. The method comprises the steps that a cognitive engine analyzes a channel state from a PHY layer and considers a real-time conflict probability of an MAC layer and a service demand of an application layer so as to detect blank resource blocks (RB) intelligently; a CR-HeNB self-configuration module acquires related data from a spectrum state database so as to perform adaptive configuration; a home cell coverage is divided into a center area and an edge area, a fractional spectrum resource that can be dynamically used is divided from a system bandwidth, and adjacent home cells acquire the edge spectrum resource in a dynamic competition manner; and few CR-HeNBs among densely deployed HeNBs are used as center nodes, and the CR-HeNBs detect in time idle RBs in a frequency domain, a time domain and a space domain, learn related information of each HeNB, make an optimal policy in a centralized manner, and deliver a control signal to each node, so as to implement interference coordination.
Owner:SOUTH CHINA UNIV OF TECH
Method for Providing Cognitive Insights Using a Cognition Engine
ActiveUS20150356424A1Data processing applicationsDigital computer detailsCognitive engineData mining
A computer-implementable method for providing cognitive insights comprising: receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; and, processing the cognitive graph, the processing the cognitive graph providing cognitive insights.
Owner:TECNOTREE TECH INC
A perfect cognitive engine selection strategy from me through user feedback
PendingCN109214011AEasy to useNatural language translationSpecial data processing applicationsComputer scienceHuman language
The invention discloses a perfect cognitive engine selection strategy from me through user feedback, wherein the user can feedback and grade the result of each translation. The server will collect thedelay data of each service; for each language, there is a list of engines that are supported, and all engines have the same proportion of crashes; adjusting the proportion of engine according to theresult of daily user feedback; adjusting the proportion of the engine according to the delay data of the engine; selecting the engine with the highest priority for each business; at the translator device, the user may determine whether or not the user is aware of the result of the identification, the results of text translation and the results of TTS are fed back. The invention solves the problemthat the precise control can not be carried out and the most real result can not be obtained by relying on the subjective judgment of a few people, and at the same time, the manual switching will havecertain delay, and the engine switching strategy is automatically corrected through data analysis and user feedback, and the engine switching is carried out at an appropriate time, so as to be convenient for the user to use.
Owner:LANGOGO TECH CO LTD
System to prevent scams
ActiveUS20190149575A1Platform integrity maintainanceMachine learningScripting languageDistributed computing
A computer-implemented method for deterring scams including: monitoring by a cognitive engine agent incoming messages for scam messages; receiving by a messaging server an incoming message having a sender of the incoming message; identifying by the cognitive engine agent the incoming message as a scam message; and replying by the cognitive engine agent in cooperation with the message server to the scam message by initiating a message conversation with the sender of the scam message, the message conversation including one or more reply messages to the sender of the scam message replying to the scam message and any subsequent scam messages from the sender of the scam message with each reply message being an intelligent, interactive message using natural unscripted language to appear as if the one or more reply messages was written by a human and is responsive to a content of a scam embodied in the scam message.
Owner:KYNDRYL INC
Controlling access to data requested from an electronic information system
An access control method for controlling access to data requested from an electronic information system. The method comprises receiving a request for the data, determining a user identity associated with the request; gathering the requested data from one or more data sources by an orchestrator for input to a cognitive engine; analyzing the requested data; based on results of analyzing the requested data, deciding on whether the user identity can be allowed to access the requested data; providing feedback by the user identity; and updating a learning module based on the feedback.
Owner:GREEN MARKET SQUARE LTD
A method and system for automated healthcare monitoring of a patient
A system is provided for automated monitoring the health of a patient. The system is unifying the approach of multi-sensing, robotic platform and cloud computing to monitor the health of the patient with zero or very minimal human intervention. The plurality of physiological parameters and the pathological values is sensed using the plurality of physiological sensors and the plurality of pathological sensors or using a smart phone of the patient. The body of the patient is scanned using a robotic arm. The data sensed by the sensor is then identifies a set of anomalies and send the set of anomalies to cloud server. A cognitive engine present on the cloud server is then diagnoses a disease using cloud computing and send the report to caregiver and doctor. According to another embodiment, a method is also provided for automated monitoring the health of the person using the above mentioned system.
Owner:TATA CONSULTANCY SERVICES LTD
Machine learning approach for query resolution via a dynamic determination and allocation of expert resources
InactiveUS20190272476A1Effectively and efficiently resolveQuick fixOther databases queryingKnowledge representationStudy methodsLearning methods
Owner:STARMIND AG
Cognitive moderator for cognitive instances
A method includes receiving a first query by a computing device and assigning the first query to a plurality of cognitive engines, wherein each of the plurality of cognitive engines include differentcharacteristics for processing data. The method also includes, responsive to receiving a response from each of the plurality of cognitive engines for the first query, comparing the received responsesfrom the plurality of cognitive engines. The method also included responsive to determining a difference between a first response from a first cognitive engine and a second response from a second cognitive engine is above a predetermined threshold value, performing a response mediation process until the difference is below the predetermined threshold value.The method also includes selecting a first final response from the received responses for the first query and the second query and displaying the first final response to a user.
Owner:IBM CORP
Cognitive reconfigurable RF technology
ActiveUS9825653B2High selectivityImprove linearityTransmissionWireless communicationRF front endFrequency spectrum
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.
Owner:VIRGINIA TECH INTPROP INC
Cognitive Reconfigurable RF Technology
ActiveUS20160057637A1High selectivityImprove linearityError preventionFrequency-division multiplex detailsFrequency spectrumRF front end
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.
Owner:VIRGINIA TECH INTPROP INC
System, apparatus, and methods for achieving flow state using biofeedback
InactiveCN108685580AInput/output for user-computer interactionDiagnostic signal processingMental stateArtificial intelligence
Owner:INT BUSINESS MASCH CORP
System and method for establishing a device to device communication link in cellular networks
ActiveUS20200344821A1Reduce probabilityIncrease the number ofSynchronisation arrangementConnection managementTelecommunications linkCommunication link
Disclosed is a system and method for establishing a device to device communication link in cellular networks. The system includes one or more user equipments, and a base station. The one or more user equipments includes a first user equipment and a second user equipment. The first user equipment is configured with a first user equipment cognitive engine and the second user equipment is configured with a second user equipment engine. The base station that is coupled to a cellular tower and configured with an evolved packet core EPC. The base station and at least one of the one or more user equipments performs a method for establishing the device to device communication link in the cellular network using a transmit to receive transition gap (TTG) and a receive to transmit transition gap (RTG).
Owner:SAANKHYA LABS PVT
Apparatus and method for dynamically allocating radio resource
ActiveUS9131430B2Easy to useEliminate congestionNetwork traffic/resource managementAssess restrictionCommunications systemComputer science
The invention relates to a communication device and method that dynamically uses frequency resources, and more particularly, to a mobile terminal and a communication method that can dynamically allocate frequencies. The mobile terminal, which can dynamically allocate frequencies includes a communication module including a cognitive engine and a communication system block. The cognitive engine searches frequency bands based on both specific frequency policy and a service chosen by the user and selects a specific frequency band from the searched frequency bands. The communication system block includes a platform block for performing configuration for the selected frequency band and at least one component block for performing data processing based on a specific protocol according tox the configuration of the platform block.
Owner:LG ELECTRONICS INC
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