275 results about "Cognitive systems" patented technology

A home-based remote care solution provides sensors including a basic health monitor (BHM) that is a measurement and feedback system. The BHM operates with low power integrated communications combined with an in-home, low power mesh network or programmable digital assistant (PDA) with cell phone technology. A cognitive system allows remote monitoring of the location and the basic health of an individual. The BHM measures oxygen saturation (SaO2), temperature of the ear canal, and motion, including detection of a fall and location within a facility. Optionally, the BHM measures CO2, respiration, EKG, EEG, and blood glucose. No intervention is required to determine the status of the individual and to convey this information to care providers. The cognitive system provides feedback and assistance to the individual while learning standard behavior patterns. An integrated audio speaker and microphone enable the BHM to deliver audio alerts, current measurements, and voice prompts. A remote care provider can deliver reminders via the BHM. The device may be worn overnight to allow monitoring and intervention. Through the ability to inquire, the cognitive system is able to qualify events such as loss of unconsciousness or falls. Simple voice commands activate the device to report its measurements and to give alerts to care providers. Alerts from care providers can be in a familiar voice to assist with compliance to medication regimens and disease management instructions. Simple switches allow volume control and manual activation. The device communicates with a series of low-power gateways to an in-home cognitive server and point-of-care (POC) appliance (computer). Alone the BHM provides basic feedback and monitoring with limited cognitive capabilities such as low oxygen or fall detection. While connected to the cognitive server, full cognitive capabilities are attained. Full alerting capability requires the cognitive server to be connected through an Internet gateway to the remote care provider.

The invention discloses a children cognitive system based on augment reality technology and a cognitive method. The children cognitive system based on the augment reality technology comprises an image information input module, an image information matching module, a drawing model module and a voice recognition module. A set of recognition identifications are developed through interfaces of an ARToolkit augment reality development kit, a Microsoft Speech SDK voice recognition engine, a 3D max modeling tool and the like, and a children cognitive platform performs simple interaction with a virtual scene in a computer through voice recognition. Operations like moving, amplifying and contracting a model are achieved through OpenGL image processing technology and 3D modeling technology. The children cognitive system based on augment reality technology and the cognitive method have the advantages of being short in development cycle, good in maintenance, good in portability and easy to modify. In addition, a user can use the cognitive system based on augment reality technology and the cognitive method to write a literary handbook, good learning effect is achieved, and the cognitive platform which is strong in interaction is provided for a child to use an augment reality application system.

The invention discloses an active detection and recognition system and method for a human gait behavior based on semantic folding. Embedded gait behavior detection and recognition system hardware with low power consumption is built by using a three-dimensional sound field positioning system, a sole force field positioning system, an HDMI high-definition camera, a high-definition video acquisition system, a microcomputer Raspberry and the like. Gait semantic energy diagrams with timing characteristics provided by the invention contain gait time information under different situations, and the learning and prediction ability of a gait behavior cognition system can be enhanced according to a lot of gait semantic energy diagrams with timing characteristics. Meanwhile, the active detection and recognition technology for a human gait behavior based on semantic folding has extensive application prospects in various fields which mainly comprises the fields such as long-distance identity recognition, abnormal gait behavior detection, pedestrian behavior prediction and mass video retrieval, and has excellent economical and social benefits.

A cognitive system and method for predicting and detecting security breaches is provided which yields cognitive inputs to a security management interface accessible by a human operator. The system utilizes symbolic cognitive architectures and inference processing algebras allowing the system to respond to open, incomplete, and/or unknown problem domains, offering flexibility in the case of unexpected changes in the security environment. The system is also capable of intelligently, and in real-time, adapting security peripheral configurations to further probe and analyze the real-time security environment, provided real-time data that can be processed with symbolic cognitive architectures and inference process algebras enabling the identification of new and emerging threat profiles leading to the prediction and detection of security breaches.

The invention provides a solving method which coordinates a cognitive radio system to enhance robustness detection. The method for detecting a frequency spectrum hole in cognitive radio mainly comprises the following steps: independently sampling a frequency spectrum environment which needs to be detected by a plurality of cognitive users of a cognitive system in different geographical positions so as to obtain perceptive signals; sending perceptive data obtained by means of sampling by the cognitive user through a control channel in the cognitive system to a cognitive based station; receiving a plurality of perceptive signals and splitting the perceptive signals into a plurality of shorter perceptive signal sections with identical slot time by the cognitive based station, and obtaining a perceptive signal matrix through data infusion; and calculating the perceptive signal matrix and a covariance matrix, maximum and minimum eigenvalues of the covariance matrix and eigenratio of the maximum eigenvalues and minimum eigenvalues, comparing the eigenratio with a decision threshold, and judging whether the frequency spectrum hole exists or not. The method for detecting the frequency spectrum hole in the cognitive radio can effectively improve systematic detecting performance under the condition that the number of cooperative users are less.

The embodiment of the invention discloses a method and equipment for suppressing interference under the condition of the sharing of frequency spectrum by different systems. According to the technical scheme of the invention, the downlink maximum transmission power and/or the uplink maximum transmission power of a cognitive cell on a cognitive frequency band is limited, so taht the interference between a cognitive system and an authoritative system is reduced effectively under the condition of the sharing of the frequency spectrum by the cognitive system and the authoritative system, the interference of the authoritative system to the downlink of the cognitive system is reduced, the interference of the cognitive system to the uplink and the downlink of the authoritative system is reduced, the cognitive system can use the idle frequency spectrum resource of the authoritative system under the condition of noninterference/low interference, the utilization efficiency of the frequency spectrum is improved, and the quality of the links is improved.

The invention relates to a game theory-based graded pricing frequency spectrum resource management method and provides a new graded price mechanism, the mechanism can define dynamic prices for users with different grades in a heterogeneous network, and the graded structure can ensure the priority requirements of different user services, thereby ensuring the benefits of the user of a main system and simultaneously considering the needs of the users of cognitive systems. The method can not only fully utilize the limited frequency spectrum resources, but also ensure the fair and reasonable competition between the cognitive users and the main user and between the cognitive users, and avoid the status of overhungry or satiety in the resource utilization; and the graded price mechanism is the unilateral voluntary selection mode of the cognitive users and applicable to the underlay sharing way, that is the main user system can accommodate the cognitive users as much as possible within the interference bearing capacity and carry out pricing through gaming among the users at the same grade according to the service grades of the cognitive users, and each cognitive user can select to accept the price of the main system or not according to the respective cost. The method is established on the basis of reasonable modeling of user services, mobility and the like.

The invention discloses a resource allocation method for a cognitive system based on space multiplexing. In the method, the F norm of a channel matrix is used to select a cognitive user so as to obtain a multi-user diversity gain of a cognitive network, a double-selection mode is used to lower the complexity of the algorithm, transmitted signals of the cognitive users are projected to a null space of an interference channel so as to avoid the interference of the cognitive user on an authorized user, the channel matrix of the cognitive user is converted into a concurrent independent channel by using a singular-value decomposition method, and the system capacity is enlarged by using a water-filling power allocation method. In a word, by using the multi-user diversity gain of the cognitive network, the method simplifies the user selection method and improves the system performance under the condition of acceptable computation complexity.

According to embodiments of the present invention, methods, systems and computer readable media are provided, in a cognitive data processing system, for implementing a predictive analytics system that utilizes entity and non-entity information. A collection of content is processed to extract defined entities pertaining to one or more domains. Semantic relationships are determined between objects within the collection of content, wherein the objects include undefined entities. The defined entities and objects are resolved based on entity definitions and the semantic relationships to determine defined entities and undefined entities for a resulting data set. The resulting data set is processed to identify one or more relationships between a defined entity and an undefined entity.

The invention discloses an authentication method and device based on a virtual reality scene. The method comprises the steps of receiving an authentication request in the virtual reality scene; collecting to-be-authenticated fingerprint information through a fingerprint collection device in a reality scene; sending the to-be-authenticated fingerprint information to an authentication device in the reality scene; and receiving authentication result information sent by the authentication device in the virtual reality scene, wherein the authentication result information is used for indicating that the to-be-authenticated fingerprint information is authenticated successfully or unsuccessfully. According to the method and the device, the technical problem that in a related technology, the payment efficiency in the virtual reality scene is relatively low due to the fact that a payment cognitive system needs to be established in the virtual reality scene when payment is carried out in the virtual reality scene is solved.

Mechanisms are provided for processing natural language content having a computer code segment. Natural language content is processed using a natural language processing (NLP) engine and a segment of content within the natural language content is identified that is not recognized by the NLP engine. The segment is analyzed to determine whether the segment contains computer code and, if so, a code segment annotation for the computer code is generated that provides a natural language description of functionality of the computer code in the segment. The code segment annotation is stored in association with the natural language content and natural language processing is performed using the NLP engine on the code segment annotation to further process the natural language content.

The invention discloses a learning and cognitive system based on texture haptic display. The system comprises a haptic display module, a drive module, a finger position detection module, and a main control module, wherein the haptic display module includes a transparent haptic panel and a vibration device capable of making the haptic panel vibrate at different amplitudes; the drive module is respectively connected with the main control module and the vibration device, and is used for driving the vibration device to vibrate according to an instruction from the main control module; the finger position detection module is used for detecting the position information of a finger touching the haptic panel, and transmitting the position information to the main control module; and the main control module is used for extracting texture features of an externally-input image, calculating according to the extracted image features and the position information detected by the finger position detection module, and generating a corresponding control instruction to control the drive module so as to drive the vibration device to generate vibration. The system provided by the invention has plentiful and stable touch sense, and is suitable for the learning and cognition of character and image information for the blind and preschool children.

Mechanisms are provided for ingesting natural language textual content. Ingestion of natural language textual content is initiated and an embedded structured data portion within the natural language textual content is identified. A signature of the structured data portion is generated which comprises one or more metadata elements describing the configuration or content of the structured data portion. References to the structured data portion are identified in natural language text portions of the natural language textual content and evaluated based on the signature. An ingestion prioritization plan for ingesting a set of facts associated with a set of elements of the structured data portion is generated based on results of the evaluation. The ingestion prioritization plan is applied to generate the set of facts and store the set of facts in an ingested representation of the natural language textual content.

A method and device for perceiving the system sensing channel, which mainly comprises: confirming the detecting tactics in the local perceiving system according to the occupied state of the current channel in the local perceiving system; then executing the detecting tactics and detecting the situation of channel occupation for the current channel; thereby, the embodiment of the invention agilely select the corresponding detecting operation according to the predicted time, signal type and other parameters to reduce the load caused by the periodical detection and rationally use the channel detecting resource.

Provided is an anti-interference frequency spectrum access method based on full duplex OFDM cooperation. According to the method, if the speed during direct transmission of an authorized user is lower than the target speed, cooperation request signals will be sent to surrounding cognitive users for seeking the cooperation of the cognitive users. The cognitive user which can help the authorized user to obtain the maximum speed can be found out from all the cognitive users receiving the cooperation request signals, if the user can help the authorized user to achieve the target speed, the user will be allowed to have access to the frequency spectrum of the authorized user in a full duplex OFDM cooperation mode, and otherwise, the authorized user continues to send own information through direct transmission. After the cognitive user has access to the frequency spectrum of the authorized user, the cognitive user helps the authorized user to forward the information of the authorized user by using one part of subcarriers and power in a second time slot, and sends own information by using the other part of subcarriers and power in a first time slot and a second time slot. The anti-interference frequency spectrum access method based on the full duplex OFDM cooperation effectively solves the problem of mutual interference between the authorized user and the cognitive users, and improves the throughput of a cognitive system.

An embodiment of the invention discloses a method for collocating channel state of cognitive system, a detection management device and a base station. The method of the invention comprises the following steps: obtaining data information reported by the data source; analyzing the channel state of channel according to the data information reported by the data source; and if a plurality of channel states of a same channel obtained by analyzing are obtained, storing the plurality of channel states for the channel. Because when the plurality of states exist in the channel, the existing states are saved and the actual state of empty-opening channel is actually reflected. Compared with the prior art, the states of mutual signal interference and further the interference to the authorized subscriber, which are caused by no saving of the plurality of channel states, are effectively prevented. The allocation of empty-opening resource is caused to more reasonably.

The present design is directed to a cognitive system including a receiver configured to receive a set of actors and associated actor information and receive assets and their associated asset information, a creation apparatus configured to create data dictionary entries for a taxonomy based on the set of actors and the assets and create a cognitive model using the data dictionary entries for a time period, and a computing apparatus configured to compute trust of the cognitive model as a fuzzy number and activate the cognitive model if trust of the cognitive model is above a cognitive model trust threshold. When the cognitive model is activated, the cognitive modeling system is configured to schedule a collection of tasks to run that perform regular extraction of actions from an original data source and perform at least one anomaly analysis associated with the cognitive model.

Unstructured data are processed in response to a request for information to derive attributes. The attributes include a subset of variables utilized to determine the requested information. The attributes are ranked based on a set of relevance factors for determining the requested information. One or more attributes are selected for presentation to a user based on the ranking to receive modifications and produce modified attributes. The requested information is determined based on the set of variables including the modified attributes.

A cognitive system, method and computer program product for maximizing a productivity of software development by a software development team. The system and method implement cognitive processes for determining what certain organizational factors and their optimal values which correspond to high performing software development teams. Based on the determinations correlating organization factors with productivity increases, the system prescribes what Key Performance Indicators (KPIs) to improve (e.g., increase and decrease), and determine what are the target improvement values. Use of the systems and methods described herein enable development managers and executives to build maximum performance teams (or transform existing teams, boosting their productivity), by leveraging customized quantitative recommendation provided as output. The system and method overcomes inefficiency of existing measures by enabling global and automated ways of maximizing the development productivity by continuously providing customized and targeted performance improvement.

The invention provides a quantum chemistry reaction optimization multi-relay selection method of a cognitive relay network. The method comprises steps of: 1, establishing a cognitive system relay selection model; 2, initializing a quantum molecule set and a system parameter; 3, evaluating the potential energy of all quantum molecules in the set and selecting the measurement state of the quantum molecule with the lowest potential energy as a global optimal solution; 4, arranging the kinetic energy of quantum molecules in a descending order, and performing decomposition reaction, invalid collision, and synthetic reaction; 5, evaluating the potential energy of newly generated quantum molecules, and if the minimum potential energy of the newly generated quantum molecules is less than the minimum potential energy of the previous generation, marking the newly generated quantum molecules as a new global optimal solution; and 6, if the number of iteration times is less than a preset maximum number of iteration times, returning to step 4, otherwise, outputting the global optimal solution. The method balances the primary user constraint condition and non-primary user constraint condition of the cognitive relay network, and chooses a relay selection scheme that maximizes the system throughput based on a quantum chemistry reaction mechanism.

The invention discloses a personalized recommendation method based on a fuzzy object language concept lattice, which can solve the problems of fuzzy recommendation interpretation and cold start and avoid information loss, and comprises the following steps: data processing: initializing a collected training data set into a fuzzy object language form background; constructing fuzzy object language concepts and concept lattices; calculating evaluation differences between the to-be-recommended user and other users; performing preliminary processing on the training data set according to the evaluation difference; constructing a cognitive system of the training data set; constructing a sufficient knowledge base and a fuzzy object language knowledge simulation lattice of the training data set; constructing a necessary knowledge base and a fuzzy object language knowledge simulation lattice of the training data set; calculating a frequent fuzzy object language concept or frequent fuzzy object language knowledge; calculating a fuzzy object language association rule; and calculating a recommendation rule base and carrying out recommendation.

The invention discloses a speech cognition evaluation method based on eye movement. The method comprises the following steps: S1, each segment of speech used for speech cognition evaluation is presented to the subject through the auditory channel of the tester in turn, and eye movement data of the subject is synchronously recorded during the time of presenting speech stimulation, with the eye movement data being eye movement data and blink data when the subject receives speech stimulation; S2, processing the eye movement data and the speech corresponding to the synchronization of the data, andidentifying whether there is an index characteristic synchronized with the language structure in the speech in the eye movement data. If it exists, it is considered that the subject can understand the language structure of the speech; if it does not exist, it is considered that the subject cannot understand the language structure of the speech. The method adopts the auditory sense as the input ofthe perceptual channel, relates to less advanced cognitive system in the information processing process, and has a wider user population.