32 results about "Cognitive module" patented technology

The invention relates to a cognitive radio system based on relay cooperation transmission and a resource allocation method thereof. The system comprises a cognitive base station and a plurality of cognitive terminals, wherein the cognitive base station comprises a base station environment cognitive module, a cognitive information library, a wireless resource allocation module and a base station reconfiguration management module; and the cognitive terminal comprises a business state module, a terminal environment cognitive module and a terminal reconfiguration management. The system and the method of the invention takes satisfaction of QoS demands from users and maximization of effective throughput of the system as targets, further has practical meaning, and meets experience requirements of the users. The policies on relay and transmission path selection, frequency spectrum allocation, transmission rate control and other wireless resource allocation are determined based on various useful cognitive information of the system, thereby solving the problem of the wireless resource allocation in the cognitive radio system based on the relay cooperation transmission, optimizing system performance and improving utilization rate of system frequency spectrum.

The invention provides a multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) cognitive radio communication method. A radio-frequency module outputs intermediate-frequency data which is used for spectrum detection to determine whether a spectrum is an idle spectrum or not, if so, optimum spectrum analysis and channel estimation are conducted to determine the characteristic of the spectrum, then optimum spectrum allocation is conducted to determine routing lines for information transmission, and when a master user requires to use the current frequency band, other routing lines are selected and used for data transmission; a cognitive module transmits a control signal to the radio-frequency module, wherein the control signal is used for setting the parameters of the secondary frequency variation of the radio-frequency module and setting the communication frequency band of a data transmission module; and each cognitive user has two transmitting and receiving antennas which are used for transmitting and receiving data, and signaling information is transmitted between the cognitive module and the data transmission module and is used for selecting transmission lines and proper transmission power. The method has the advantages that the spectrum utilization ratio is improved, the channel switching times are reduced, the data transmission quality is improved and the goal of stably transmitting cognitive data to the cognitive users is achieved.

The invention provides power line communication equipment based on a channel cognitive technology. The equipment comprises: a power line communication transceiver, which has a configurable parameter; a channel cognitive module, which is used for carrying out cognition on a power line channel and obtaining a channel model; and a cognitive control module, which is used for carrying out learning according to the channel model obtained by the channel cognitive model so as to determine and configure a configuration parameter of the communication transceiver in the communication equipment. Compared with the prior art, the technology employed in the invention enables a configuration parameter of a communication transceiver in the power line communication equipment to be configured, so that a whole power line communication system can work in the most suitable state and thus reliability, stability and a communication speed of the power line communication are improved; meanwhile, a frequency spectrum utilization rate and a power consumption utilization rate can be improved.

A system for intelligent goal-directed search in large volume visual imagery using a cognitive-neural subsystem is disclosed. The system comprises an imager, a display, a display processor, a cognitive-neural subsystem, a system controller, and operator controls. The cognitive-neural subsystem comprises a cognitive module, a neural module, and an adaptation module. The cognitive module is configured to extract a set of regions of interest from the image using a cognitive algorithm. The neural module is configured to refine the set of regions of interest using a neural processing algorithm. The adaptation module is configured to bias the cognitive algorithm with information gained from the neural module to improve future searches. The system functions in a plurality of operating modes, including: batch mode, semi-interactive mode, real-time mode, and roaming mode.

The invention discloses a cloud-fog integrated industrial Internet of Things cognitive energy management system and computing method thereof, wherein a structure of the system comprises an industrialequipment layer, an industrial cloud-fog cognitive computing layer and an energy management layer. The industrial cloud-fog cognitive computing layer comprises industrial cloud computing and industrial fog computing; and the energy management layer, taken as a top layer of an architecture, takes charge of providing diversified energy management applications, and comprises an energy cognitive module, an energy analysis module, an energy prediction module and an energy optimization module. In the system and the method provided by the invention, by cloud computing, infinite resources can be provided for mitigating a problem of limitation of fog computing resources, problems of high delay, network congestion and low reliability caused by cloud computing can be mitigated through fog computing edge information processing capacity, cloud-fog integration is realized through construction of a penetration model between fog computing and cloud computing, under guidance of minimizing consumption of cloud-fog resources, an energy management service is allocated rationally between the cloud and the fog, rational and efficient utilization of the cloud-fog resources is realized, and consequently,efficient IIoT energy management is realized.

The invention discloses a relevance-based access method of a frequency-hopping communication system. In the invention, a cognitive module is added to the common frequency-hopping communication system so as to carry out perception and communication at the same time; and collisionless channel access is realized by virtue of time delay relevance among hopping frequency of different frequency-hopping nodes so as to improve utilization ratio of a wireless spectrum, number of network nodes of the system and system throughput. The access method of calling nodes mainly comprises the following steps: (1) in the channel searching process, the calling nodes obtain use condition of time frequency resource in actual frequency-hopping communication; (2) the calling nodes select scheduling nodes and send access application to the selected nodes; (3) after receiving the access application, the scheduling nodes allocate time frequency resource to the nodes applying for access, feed back access guide information and control the nodes applying for access to access to a network; and (4) after finishing frequency-hopping communication, the nodes send logout notice to the relevant nodes so as to release the occupied time frequency resource.

The invention relates to an industrial CPS system and realization method for personalized customization. The system comprises a device layer, a monitoring control layer and a planning layer. The device layer represents an automated physical device with an invoking interface to realize information transmission between devices and between the device layer and the monitoring control layer. The monitoring control layer receives an event occurring in the planning layer and processes the event, receives a signal fed back by the device layer and displays the signal. The planning layer plans a task performing sequence dynamically autonomously, generates a work flow, and triggers the monitoring control through the event. According to the invention, the function block library, the knowledge base andthe cognitive module can be reused; new device function blocks are added continuously to the function block library; perfection is realized gradually; and the system can be applied to the engineeringconveniently and directly.

A method for regulating network congestion includes the steps of obtaining parameters representing the state of network congestion through a network cognitive module, forming a factor set A with the parameters serving as element factors, then, setting up a network packet loss factor set B, setting the relation matrix of the factor set A and the factor set B, obtaining a cwnd value at the next moment after the factor set A at a certain moment is mapped, and regulating a congestion window of a network sending end according to the cwnd value through a flow control module. Through the method, main factors which influence packet loss are distinguished under different network loads and different error rates, and regulation is conducted according to the main factors. Higher adaptability is achieved compared with a current main TCP, the network performance level can be judged under the condition that the loads are increased and the error rate is high, wireless error packet loss and congestion packet loss are distinguished according to the network performance level, the utilization rate and the handling capacity of links under the high load and high error rate network environment are greatly improved, and therefore transmission performance of the TCP in a heterogeneous network is improved.

The invention discloses a reconfiguration management plane based on a cognitive network and a reconfiguration method. A reconfiguration cognitive manager is arranged in the reconfiguration management plane; and meanwhile, a context information cognitive module, a decision reconfiguration module, a self-reconfiguration module and a cognitive service module are respectively arranged at a cognitive terminal side and a cognitive network side; according to the reconfiguration method, the terminal, a base station and other equipment not only have a cognition ability of multi-domain environment and capability of reconfiguring; when a network environment changes, the cognitive reconfiguration management plane can be used for adjusting reconfiguration parameters in real time based on the cognitive result so as to adapt to the change of an external environment, further quick adjustment of the cognitive network is realized and the optimal utilization of resources is realized.

A method for neurological rehabilitation is disclosed. The method can be used for listening, comprehension and communication rehabilitation. The methods include a cognitive module, a degraded speech module, a competing speech module, a context module, and an interactive communication module.

A system and method defining the twelve modular functions of cognition, and using this information to identify individual work style preferences and to facilitate individual and leadership competence development programs. The system and method associates sets of two related pairs of the cognitive functions with each of the three cognitive sectors of Reasoning logically, Relating to others, and taking Action. A preference survey instrument includes sets of any combination of statements, words, questions, or behaviors related to traits common to each of the functions, and defines a set of six preferred functions based on responses to each item in the instrument.

The invention relates to an immersive virtual reality type train examination training method and system. The system comprises a main machine, a positioning unit, an interaction unit, a voice unit, a Ui unit, a statistical unit and a storage unit, wherein all the units are in communication connection through the main machine. The training method comprises the following steps that (1) a cognitive module helps students to be familiar with scenes within a short time and adapt to operation in VR scenes; (2) a teaching module enables the students to complete train examination teaching training operation according to a standard process; (3) a training module enables the students to carry out free train examination training and consolidate the learned knowledge content; and (4) an assessment module enables the students to perform skill assessment according to the knowledge mastered through the first three modules. According to the immersive virtual reality type train examination training method and system, the students enter the virtual reality scenes for systemic training, qualified train examination staff are trained within a short time, so that the training cost is reduced, and the systematicness, normativity and safety of training are improved.

The invention provides a universal modularized two-arm service robot platform and a universal modularized two-arm service robot system utilizing the same. The universal modularized two-arm service robot platform comprises an environmental information collection module, an information cognitive module, a decision module and an output execution module, wherein the environmental information collection module is used for collecting environmental information through each external sensor of a service robot; the information cognitive module is used for processing original data collected by the environmental information collection module; the decision module is used for recognizing the environmental information of the service robot based on the information cognitive module; and the output execution module is used for outputting instructions through the robot based on the control of decision information of the decision module. The universal modularized two-arm service robot platform is integrated with hardware supporting functions such as vision collection, audio collection, touch collection, vision output, audio output, action output and the like, can be applied to the research, the development and the debugging of a universal functional algorithm module of the service robot based on the system designed by the invention and can be used for researching resolutions of the coordination work of each functional module of the service robot under the unified framework.

The invention relates to a media access control method based on separation of cognitive and source sensing nodes in CRSNs. In the method, a cognitive function is separated from a sensor node; the sensor node does not bear a spectrum sensing function any longer and is only responsible for source sensing; the cognitive function is shifted to other special nodes in a CRSN; and the special nodes are responsible for spectrum sensing. On the one hand, the spectrum scarcity in a public frequency band working in a WSN along with rising of all kinds of emerging wireless communication technologies can be alleviated; the problems that a MAC protocol in the WSN does not consider spectrum sensing and spectrum management and the like can also be solved; on the other hand, the problem that the production cost is relatively high due to the fact that the processing complexity and the energy consumption of all the nodes by performing spectrum sensing, spectrum switching and the like are increased and each sensor node is configured with a cognitive module in the MAC protocol of the CRSN can be solved; and the problems of balancing the energy consumption of the network, prolonging the life cycle of the network, increasing the throughput capacity and the like can be well solved.

An emotion recognition device comprises an expression cognitive module, a micro-expression cognitive module and a weighted fusion module. The expression cognitive module is used for mapping emotions to a continuous emotion space for recognition. The micro-expression cognitive module is used for recognizing a tiny emotion change. The weighted fusion module is used for determining an emotional state. The emotion recognition device can accurately recognize the emotions.

The invention provides a robot sensing device and a system. The robot sensing device comprises a cognitive module and a control module. The cognitive module is used for acquiring target information and transmitting the cognized target information to the control module in real time; and the control module is used for generating a control signal according to the information collected by the cognitive module, and the control signal is used for controlling a mechanical arm to grab a workpiece to be grabbed and monitor the working state of the mechanical arm in real time. The robot sensing device and the system provided by the invention can be mounted at the front end of the robot or fixed to a non-occluded target workpiece, and acquires an image, and the outline, the size, the position, the distance, the color and the perceived force feedback of a target object observed by the robot in real time, so that the robot obtains cognitive ability, can grab or assemble and detect in different positions, different dimensions, and the proper strength according to different workpieces.

The invention relates to a ZigBee and WiFi networking communication cognitive anti-interference method, and belongs to the technical field of heterogeneous wireless networks. The method comprises thefollowing steps: S1, a cognitive module reduces interference; The cognitive module constructs a flow graph by using GNU Radio, senses the surrounding spectrum environment by combining USRP operation,and stores spectrum information and amplitude information obtained by sensing by using a file; And S2, the gateway function module carries out networking communication. According to the invention, theGNU Radio is combined with the USRP to realize the cognitive module; Different working frequencies are configured for ZigBee and WiFi, communication interference between networks of the same frequency band is avoided, and ZigBee-WiFi protocol stacks are constructed in GNU Radio to form ZigBee-WiFi protocol stacks. And a gateway module is realized by combining the WiFi gateway flow diagram with USRP, so that networking communication of the heterogeneous wireless network ZigBee and WiFi is realized by using software radio.

The invention relates to a cognitive radio system based on relay cooperation transmission and a resource allocation method thereof. The system comprises a cognitive base station and a plurality of cognitive terminals, wherein the cognitive base station comprises a base station environment cognitive module, a cognitive information library, a wireless resource allocation module and a base station reconfiguration management module; and the cognitive terminal comprises a business state module, a terminal environment cognitive module and a terminal reconfiguration management. The system and the method of the invention takes satisfaction of QoS demands from users and maximization of effective throughput of the system as targets, further has practical meaning, and meets experience requirements of the users. The policies on relay and transmission path selection, frequency spectrum allocation, transmission rate control and other wireless resource allocation are determined based on various useful cognitive information of the system, thereby solving the problem of the wireless resource allocation in the cognitive radio system based on the relay cooperation transmission, optimizing system performance and improving utilization rate of system frequency spectrum.

The invention discloses a communication system capable of having cognitive function based on WCDMA network, mainly for solving the problem of frequency spectrum unreasonable utilization in WCDMA network. The invention is characterized by: adding an IEEE1900.4 defined cognition module in a WCDMA network, wherein a cognitive module service operator spectrum manager (OSM) and a network reconfiguration manager (NRM) are added in a core network (CN), a RAN reconfiguration controller (RRC) and a radio access RAN measure collector (RMC) are added in an UMTS terrestrial radio access network (UTRAN), and a cognitive module terminal reconfiguration manager (TRM), a terminal reconfiguration controller (TRC) and a terminal measure collector (TMC) are added in an user equipment (UE); and defining the transmission message format between the NRM and a mobile switching center (MSC), the RRC and a radio network controller (RNC). Using the system of the invention, users can realize the communication between the unauthorized users and authorized users, therefore the frequency spectrum utilization rate in the system is raised and the irrationality of using frequency spectrum is reduced.

The invention relates to a mobile base station operation and maintenance learning system, which comprises a virtual reality module, a base station overall cognitive module, a base station equipment cognitive module, a base station data configuration module and a base station troubleshooting module, and is characterized in that the virtual reality module is used for performing virtual reality on a mobile base station through a virtual reality technology engine to acquire a virtual mobile base station; the base station overall cognitive module is used for teaching environmental information of the virtual mobile base station; the base station equipment cognitive module is used for teaching basic information of communication equipment manufacturers of the virtual mobile base station; the base station data configuration module is used for teaching the data configuration process of the virtual mobile base station; and the base station troubleshooting module is used for teaching the troubleshooting process of the virtual mobile base station. The technical scheme of the invention enables students to perform mobile base station operation and maintenance practicing and learning in the virtual environment through combining mobile base station operation and maintenance learning and the virtual reality, goods teaching effects are achieved, and defects of traditional teaching are effectively solved.

The invention provides a disease cognition system based on main symptom and accompanying symptom words. The system comprises a data acquisition module used for acquiring disease feature information and corresponding symptom feature information and establishing a disease knowledge database, a feature extraction module which is used for obtaining to-be-recognized clinical symptom feature informationand obtaining feature words, a matching module which is used for matching the disease feature words to be recognized with the disease feature information and searching symptom feature information corresponding to the disease feature information from a disease knowledge database according to the matching similarity, and a cognition module which is used for establishing a Jaccard coefficient similarity algorithm, calculating the similarity between the symptom feature words to be identified and the symptom feature information and generating a corresponding cognition report. According to the method, a combined cognitive model is constructed through the keyword matching method and the Jaccard coefficient similarity theorem, the to-be-recognized disease is accurately recognized through the combined cognitive model, recognition accuracy of the system is improved, and user experience is improved.

The invention discloses an interactive knowledge learning method based on a semantic framework. The method comprises the following steps: step 1, adding a curiosity model; step 2, maintaining a credibility value for each channel and the user according to the ability and credibility of question answering and different knowledge fields, and accumulating confidence coefficients of different channels for the generated knowledge; 3, redesigning a semantic network storage structure, and dividing a knowledge storage space according to confidence; 4, constructing a statistical cognition module; 5, feeding back results to different channels and users according to the screening condition of the knowledge, and adjusting the values of the credibility of the corresponding fields to form a dynamic knowledge construction closed loop; and step 6, reflecting the credibility of each channel or user on the confidence coefficient of knowledge in the next knowledge construction process. According to the method, storage of knowledge with different levels of confidence degrees is divided and isolated, and the knowledge is dynamically constructed in an external interaction process, so that the obtained formal knowledge is more effective.

The present invention proposes an intelligent interactive glove with cognitive ability, which includes a multimodal sensing module, a multimodal cognitive module and a multimodal interactive module; the multimodal sensing module is used for acquiring sensor data and voice information Perform dual-channel multi-modal fusion; after multi-modal fusion, the multi-modal cognitive module uses the gesture sensor and the curvature sensor to cooperate to obtain the user's hand posture to perceive the user's behavior, and uses the pressure sensor to detect the user's ability to grab objects. Pressure perception; and measure the distance from the length of the target object, identify the specific information of the object grasped by the user, identify the user's operating object and operation behavior, and enable the glove to obtain the correct curvature data and give the user vibration feedback. Through the present invention, the interactive mode of virtual-real fusion increases the students' sense of experimental operation, enabling students to better understand and memorize the experimental process and phenomena.

An emotion recognition device, comprising an expression recognition module, a micro-expression recognition module and a weighted fusion module, the expression recognition module is used for mapping expression emotions to a continuous emotional space for recognition, and the micro-expression recognition module uses For identifying subtle emotional changes, the weighted fusion module is used to determine emotional states. The beneficial effects of the present invention are that emotions can be accurately identified.

The invention relates to a media access control method based on separation of cognitive and source sensing nodes in CRSNs. In the method, a cognitive function is separated from a sensor node; the sensor node does not bear a spectrum sensing function any longer and is only responsible for source sensing; the cognitive function is shifted to other special nodes in a CRSN; and the special nodes are responsible for spectrum sensing. On the one hand, the spectrum scarcity in a public frequency band working in a WSN along with rising of all kinds of emerging wireless communication technologies can be alleviated; the problems that a MAC protocol in the WSN does not consider spectrum sensing and spectrum management and the like can also be solved; on the other hand, the problem that the production cost is relatively high due to the fact that the processing complexity and the energy consumption of all the nodes by performing spectrum sensing, spectrum switching and the like are increased and each sensor node is configured with a cognitive module in the MAC protocol of the CRSN can be solved; and the problems of balancing the energy consumption of the network, prolonging the life cycle of the network, increasing the throughput capacity and the like can be well solved.

The invention provides a disease cognition system based on routine urine information. The system comprises an acquisition module, a database establishing module, an extraction module and a cognition module; the acquisition module is used for acquiring user personal data and routine urine data and acquiring corresponding disease data according to the routine urine data; the database establishing module is used for establishing different databases according to the user personal data, the urine routine data and the disease data, and forming a cognitive database by combining all the databases; theextraction module is used for obtaining urine routine data of a user and extracting urine routine information data from the urine routine data of the user through a regular expression to serve as to-be-cognized data; and the cognition module is used for cognizing the to-be-cognized data through the cognition database by utilizing a KNN algorithm and generating a corresponding cognition report. Byestablishing the cognitive database and utilizing the KNN algorithm, cognition between the urine routine data and corresponding diseases can be accurately achieved, the efficiency of the whole cognitive system is improved, and the user experience is improved.

The invention provides a multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) cognitive radio communication method. A radio-frequency module outputs intermediate-frequency data which is used for spectrum detection to determine whether a spectrum is an idle spectrum or not, if so, optimum spectrum analysis and channel estimation are conducted to determine the characteristic of the spectrum, then optimum spectrum allocation is conducted to determine routing lines for information transmission, and when a master user requires to use the current frequency band, other routing lines are selected and used for data transmission; a cognitive module transmits a control signal to the radio-frequency module, wherein the control signal is used for setting the parameters of the secondary frequency variation of the radio-frequency module and setting the communication frequency band of a data transmission module; and each cognitive user has two transmitting and receiving antennas which are used for transmitting and receiving data, and signaling information is transmitted between the cognitive module and the data transmission module and is used for selecting transmission lines and proper transmission power. The method has the advantages that the spectrum utilization ratio is improved, the channel switching times are reduced, the data transmission quality is improved and the goal of stably transmitting cognitive data to the cognitive users is achieved.

The invention discloses a precision control intelligent education method based on self-adaptive cognitive interaction. The method comprises the steps: constructing an intelligent education platform interaction interface cognitive module based on ACTR; constructing a cognitive interaction mode library; constructing a global integration set of the interaction information; and constructing an interactive interface information control feedback process based on a fuzzy adaptive PID controller. According to the invention, a reasoning thinking self-adaptive control interaction behavior cognitive model is applied to an intelligent education platform, and an interaction mode library is constructed from the cognitive perspective of human beings; an object and an information source of interactive interface input information are described into knowledge elements, and on the basis of obtaining an interactive information fusion set, local and global fusion values of an interactive information sequence are calculated through entropy weight method weighting and linear weighting. And finally, the global fusion value of the interaction information is used as the input of the PID controller, the human-computer interface information interaction control process is completed through a fuzzy adaptive PID control algorithm, a result is fed back, and the control precision and the response rate are optimized.