63results about How to "Improve perceived efficiency" patented technology

A method and apparatus for dispensing of hand lotion and air freshener in a combined unit for home and office. Air freshener may be passively dispersed at a controlled rate from the apparatus, or may be actively dispersed when a user pumps the apparatus to receive a measured quantity of hand lotion. Dispersion may be implemented using a mechanical fan or compression of a sponge, for example.

A system for processing a batch of jobs is provided. The system comprises a plurality of processing elements that are characterised in that each processing element is configured to sequentially process jobs with an estimated process time within a respective allotted range of values. The jobs may comprise packets of data within a data processing system. The system is particularly useful for processing data corresponding to translated text in a text translation system.

The invention provides a cognitive wireless communication system for an electric system, and a MAC protocol realization method for the electric system. The system includes a main base station, a cognitive base station, a spectrum negotiation terminal, an authorized user and a cognitive user; the main base station and the cognitive base station respectively manages the authorized user and the cognitive user; the main base station and the cognitive base station carry out information interaction; and the cognitive base station and the spectrum negotiation terminal carry out the information interaction. The MAC protocol realization method provides a more scientific spectrum resource allocation method on basis of urgency and fairness based, and also a multi-parameter frequency switching method on basis of a weighting. The cognitive wireless communication system of the invention reduces the spectrum sensing time and improves the sensing efficiency, so that the radio frequency utilization efficiency is increased; the communication anti-interference capacity of the electric wireless terminal is improved; the more scientific spectrum resource allocation is realized; the rational resource sharing is ensured; the more comprehensive and integrated frequency switching is achieved; the smooth transition of switching is ensured; and the switching performance impact is reduced.

The invention relates to a method for sensing abnormity of power transformation equipment. The method comprises the steps of collecting and preprocessing historical industrial videos for substation equipment; combining the extracted features and a known substation equipment picture feature library with a Canny edge algorithm; establishing a power transformation equipment abnormality-free databaseand a power transformation equipment abnormality database; An endoscope of an industrial camera is used for collecting and preprocessing an image video obtained after the substation equipment runs inreal time, after the same feature extraction, the extracted feature of any frame of video image is compared with feature data in a substation equipment abnormality-free database and a substation equipment abnormality database, and substation equipment abnormality is perceived. According to the method, the characteristic information is automatically acquired from the front-end image, intelligent image analysis is carried out at the rear end by means of the information transmission center, defect early warning is finally issued, closed-loop and technical breakthrough in management is realized, and the importance of the substation equipment in the region and the intelligent linkage comprehensive analysis of the defect level of the substation equipment are considered.

The embodiments of the invention disclose a spectrum sensing method and device. The method comprises the steps of sampling signals in a target band according to a preset rule to obtain N sampled signals; according to the obtained N sampled signals, acquiring the variance of phase differences of the N sampled signals; and determining whether the target band is occupied or not according to the acquired variance and a preset judgment threshold. By adopting the method and the device, prior information of the signals does not need to be acquired, noise also does not need to be previously estimated, and the band can be sensed only by using the variance of phase differences in the band, so that the algorithm complexity is effectively reduced, and the spectrum sensing efficiency is improved.

The invention provides a channel frequency spectrum sensing method based on grouped data type sequential energy detection. The channel frequency spectrum sensing method comprises the following steps: periodically sampling channels in channel detection time by a sensing period, grouping sensing signals in sensing time within the sensing period, and combining all groups to obtain supersampling; calculating the log-likelihood ratio of a supersampling sequence; setting the judgment criterion of detection statistic volume according to a sequential detection process; repeatedly executing the step on sensing signals in sensing time within next sensing period until the occupying condition of the channel is obtained in the channel detection time. The channel frequency spectrum sensing method prolongs data transmission time, improves handling capability, simplifies log-likelihood ratio calculating process, reduces the calculation burden of secondary users, reduces the influence of short-term channel randomness and improves the channel frequency spectrum sensing efficiency, thereby indirectly improving the handling capability.

The invention discloses a spectrum sensing method and device in a cognitive wireless network. The method comprises the following steps: sampling a noise environment to obtain a first sampling matrix, and obtaining a corresponding first covariance matrix based on the first sampling matrix; sampling a wireless signal to be sensed to obtain a second sampling matrix, and obtaining a second covariance matrix based on the second sampling matrix; calculating a geometric distance between a first coordinate point and a second coordinate point by adopting a statistical manifold measurement method, wherein the first covariance matrix and the second covariance matrix separately correspond to the first coordinate point and the second coordinate point of a statistical manifold, and the statistical manifold is established based on Gaussian distribution; judging whether the geometric distance is greater than a preset threshold, if yes, determining that a signal exists in the wireless signal to be sensed, and otherwise, determining that only noises exist in the wireless signal to be sensed; and setting the preset threshold based on the false alarm probability. According to the spectrum sensing method and device disclosed by the invention, the wireless signal to be sensed can also be sensed even under relatively low signal-to-noise ratios during use, and the spectrum sensing efficiency can be improved.

The utility model discloses an optical motion perception device and an optical motion perception process. The device comprises a light producing device emitting light, an optics contrail ball or a motion unit, and a sensitization unit for light perception and image processing. The process comprises the light producing device emitting the light and the optics contrail ball or the motion unit which receives the emission light. As the optics contrail ball or the motion unit rolls, the texture information is loaded to the transmitting lights which are received and processed by the light perception unit to output the signal. The output signal is converted into the identification control signal controlling the movement of the pointer. By the appliance of the device and the process, movable equipments or portable electronic equipments can more compact size and lighter weight. Additionally, the transmission way of the initiative luminescence can increase the perception efficiency of the perception unit on the light.

The invention relates to a multi-user multi-channel collaborative spectrum sensing method based on a filter bank. Firstly, a multi-user multi-channel collaborative sensing system model is set up, wherein the multi-user multi-channel collaborative sensing system model comprises a PU, a PU-SU channel, an SU, an SU-FC channel and an FC. Under this model, the SU receives perception signals transmitted by the PU-SU channel through a receiver based on the filter bank. Then, the local perception information received through the SU-FC channel is reported to the FC. Finally, the FC makes the final judgment for the received local perception information through a linear weighted soft decision method after comprehensively taking the reporting channels, the collaboration mechanism and the space-spectrum diversity into consideration, and judges whether a PU signal or available channels exist or not. The multi-user multi-channel collaborative spectrum sensing method based on the filter bank can effectively coordinate the trade-off relation between the collaboration mechanism and the space-spectrum diversity in a cognitive radio network, so that sensing expenses are reduced and sensing efficiency is improved.

The invention discloses a multi-channel perceptual sequence optimizing method on the basis of Markov prediction in a distributive cognitive radio network. The method comprises the following steps of: under the limitation condition that a cognitive network has a plurality of opportunistic access authorization channels and a primary user can only sense and access to one channel, estimating the available probability of each channel on the basis of the Markov prediction, optionally selecting the channel with relatively high available probability to sense, and according to a sensing result, determining whether to access to the channel to transmit data or not; and under the condition that a plurality of primary users access to the cognitive network simultaneously, providing a frequency domain sensing window adjusting strategy, so that the collision probability among the primary users is reduced. By the method, the primary users can quickly sense the available channels to transmit data, the sensing times of the primary users are reduced, the sensing efficiency of the primary users and the throughput of the cognitive network are improved, and energy is saved for the primary users. A simulation result shows that when the statistical information of the authorization channels is different, compared with the strategy of randomly selecting the sensing channel, the method can obviously improve the sensing efficiency of the primary users and the throughput of the cognitive network.

The invention relates to a compressed sensing method for space-time situation of an evaporation duct, and discloses a three-dimensional observation model and a reconstruction method aimed at reducing data bulk and computation complexity stored and acquired in the space-time situation sensing process of the evaporation duct. Time dimension and space dimension are simultaneously observed via an equivalent three-dimensional sensing matrix, and a smooth zero norm is used as sparse constraint, so that the whole construction is considered, and artificial effect on effect introduced by independent space or time dimension is alleviated. Under the same compression ratio, time-space three-dimensional result closest approaches the true value.

Embodiments of the invention relate to an optical access network service flow sensing method and an optical access network service flow sensing device. The method comprises the following steps: receiving service flow data, and extracting the feature parameters of the service flow data; normalizing the feature parameters to get a feature set of the service flow; and determining the category to which the service flow belongs according to the feature set of the service flow and a preset simplified echo state network model. According to the optical access network service flow sensing method and the optical access network service flow sensing device provided by the embodiments of the invention, service flow data is received, the feature parameters of the service flow are extracted and a feature set is obtained according to the feature parameters, and the category to which the service flow belongs can be determined quickly according to the feature set of the service flow and a preset simplified echo state network model. The efficiency of service flow sensing of an optical access network is improved.

An embodiment of the invention provides a traffic event sensing method, traffic event sensing equipment, and a storage medium. The traffic event sensing method comprises the steps of: determining a reference road section corresponding to a target road section in response to a traffic event sensing instruction; acquiring traffic state information corresponding to the reference road section; and when detecting that a traffic state of the reference road section is abnormal according to the traffic state information corresponding to the reference road section, determining that a traffic event occurs on the target road section. Accordingly, whether the traffic state of the reference road section is abnormal or not can be detected based on the traffic state information of the reference road section, and then whether a traffic event occurs on the target road section or not can be analyzed according to the traffic state on the reference road section. Thus, the traffic event on each road section in the road scene can be more comprehensively perceived and is not limited by the coverage degree of video acquisition equipment any more, so that the perception efficiency of the traffic event canbe effectively improved.

The invention discloses a bionic-based flying mechanical neck eye system and a control method thereof. The system involves an aircraft system, a mechanical neck eye system, an airborne computing device and a flight control unit; the mechanical neck eye system involves a mechanical neck arranged on an aircraft body, a binocular vision inertia system arranged at the tail end of the mechanical neck,and a mechanical neck main control for controlling the movement of the mechanical neck; and the binocular vision inertial system involves a binocular camera and an inertial measurement unit, the binocular vision inertia system is used for carrying out active observation and completing pose estimation on the tail end of the mechanical neck, and the mechanical neck is a six-degree-of-freedom seriesmechanical neck. According to the bionic-based flying mechanical neck eye system and the control method thereof, the binocular vision inertial system consisting of the double fisheye cameras and the inertial measurement unit is placed at the tail end of the mechanical neck to form a sensing system, so that the observation range of the system is larger; and the cameras is variable in pose, and hasthe capability of actively sensing the environment, so that the problem that the view field of an aircraft in the indoor environment is limited can be solved to a certain extent, and meanwhile, the shaking of pictures can be compensated.

The invention provides a crowd sensing node selection method based on space-time credibility in a large-range urban road network environment. The service quality of a sensing task in the large-range urban road network environment is improved by optimizing selection of sensing nodes in limited resources. The method comprises the following steps: 1, constructing a large-range urban road network crowd sensing system; 2, calculating the space-time credibility of the vehicle; 3, calculating the coverage area of each node according to the track information and the space-time credibility of the vehicle nodes; 4, selecting a vehicle sensing node based on the time-space credibility. According to the node space-time credibility provided by the invention, the historical reputation and space-time characteristics of the vehicle nodes in the large-scale urban road network are comprehensively considered, the quality of the sensing nodes can be effectively improved, and a larger sensing coverage range and higher data accuracy can be obtained in limited road network resources.

The invention discloses a path optimization method and system for an environment-perception mobile robot. The path optimization method for the environment-perception mobile robot comprises the following steps of 1, determining a current perception task, calculating key geographic position information perceived by the robot according to representativeness and accuracy of perception environment, andacquiring historical path data and historical movement parameters of other mobile robots in completing similar tasks; 2, screening out alternative paths according to the key geographical position information, and then adopting a neural network or other optimization algorithms to grade different historical paths; and 3, selecting an optimal path according to grading results. According to the pathoptimization method and system for the environment-perception mobile robot, the path for executing environment perception tasks by the mobile robot is optimized, and efficiency of environment perception and accuracy, timeliness, effectiveness and representativeness of perceiving results are improved.

The invention provides a method for accurately sensing the presence of indoor personnel. A sensing system and a sensing control management system of a remote end are constructed and started. The sensing system is formed by an infrared sensor probe, a single chip microcomputer and a PTZ motor device. The infrared sensor probe is driven by a PTZ motor and is fixed at an upper part space of one side in a closed space. The single chip microcomputer is used for processing a received signal of the infrared sensor probe, controlling the motor and providing web service. The sensing system is internally provided with a signal processing system, wherein the infrared sensor probe obtains an infrared wave signal in real time, the signal processing system is used for processing the infrared wave signal and forming an infrared heat source feedback value. The sensing control management system of the remote end is started and is used for managing and controlling the operation of the sensing system in the closed space. A sensing monitoring system of the remote end is started and is used for monitoring infrared wave signal data reported by the sensing system in real time.

The invention discloses a road environment sensing method and device, a storage medium, electronic equipment and a vehicle. The road environment sensing efficiency and accuracy can be improved. The method comprises the steps of obtaining an original road environment image collected by a sensor; according to different attribute requirements of different road environment recognition models on the input image, attributes of the original road environment image are adjusted, and to-be-recognized road environment images corresponding to the different road environment recognition models are obtained; target object recognition is carried out on the corresponding road environment images to be recognized in parallel based on different road environment recognition models, and initial recognition result images of the different road environment recognition models are obtained; according to the attribute information of the original road environment image, attribute restoration is carried out on the different initial recognition result images, and a plurality of target recognition result images with the same attribute as the original road environment image are obtained; and carrying out fusion processing on the plurality of target identification result images to obtain a target road environment image containing all identification results.

A method and apparatus for dispensing of hand lotion and air freshener in a combined unit for home and office. Air freshener may be passively dispersed at a controlled rate from the apparatus, or may be actively dispersed when a user pumps the apparatus to receive a measured quantity of hand lotion. Dispersion may be implemented using a mechanical fan or compression of a sponge, for example.

The invention relates to an information event display method and device, electronic equipment and a storage medium, and the method comprises the steps: responding to a received information event, judging the droop permission of the information event, and if the droop permission of the information event is matched with the droop permission of a user, classifying the information event according to an event type; when the event category of the information event belongs to at least one event category subscribed by the user in advance, reminding the information event; and in response to an operation of reminding the information event by the user, displaying an information page, displaying the list of at least one event category in the information page, and displaying the information event belonging to the event category in the list area corresponding to each event category. According to the invention, the information event can be sent in an active pushing mode based on the event category subscribed by the user in advance, the overall perception of the information event under the vertical category by an operator can be enhanced, the information acquisition path is shortened, and the information perception efficiency is improved.

The invention relates to a thermopile infrared sensor array design technology, in particular to a thermopile infrared detector and a 360-degree look-around array detecting device using the detector. According to the invention, eight CMOS (Complementary Metal Oxide Semiconductor) process-based MEMS (Micro-electromechanical System) thermopile infrared sensors are adhered onto a packaging base; respective thermopile lead wire bonding pads and pins of the packaging base are bonded with lead wires through a bonding process; the bonded structure is placed in the center of a photoelectric detecting table; eight thermopiles respectively correspond to the centers of eight tapered holes of the photoelectric detecting table; the photosensitive surfaces of the thermopiles are outward along an opticalpassageway; and infrared optical lenses coated with antireflection films are respectively arranged in the tapered holes in the photoelectric detecting table. The structure can sense a moving target around at a far distance; and after the target enters a sensing visual field, an infrared signal irradiated by the target enters the photoelectric detecting table through the infrared optical lenses andthen is focused on the photoelectric sensing surfaces of the thermopile infrared sensors through the tapered optical passageway, thus finally realizing 360-degree full-view sensing of the target.

The embodiment of the invention discloses an early warning method and device based on image recognition, electronic equipment and a medium. A specific embodiment of the method comprises the steps: acquiring a video shot by a target camera in real time, wherein the target camera is a camera installed in a gas station area; in response to determining that the video includes a target image, inputting the target image to a pre-trained action detection model to generate action type information, the target image being an image including a portrait; determining early warning information corresponding to the action type information; and controlling a device matched with the early warning information to carry out early warning operation. According to the embodiment, the safety of a gas station is greatly improved.

The invention discloses a defect sensing and route entry refreshing method for a three-layer Ethernet ring. The defect sensing and route entry refreshing method for the three-layer Ethernet ring includes: a node topology address list in a right-transmitting left-receiving order is formed; a three-layer detection message is constructed for every node, and three-layer forwarding is performed by every node repeatedly; defects are sensed according to the fact that whether the three-layer detection message is received within set time or not; when time is over, defect detection messages are transmitted to every node by the corresponding node, responses are given by the nodes receiving the defect detection messages, and specific defect positions are calculated by starting from the current node according to the response situations; SPF (storage protect feature) source node address information is introduced into a route forwarding entry of a routing list generated by an IGP (interior gateway protocol), and the affected route entries are refreshed. The defect sensing and route entry refreshing method for the three-layer Ethernet ring has the advantages that specific nodes on the Ethernet ring are not related to the route entries, quick sensing and swithing for any node defect of the three-layer Ethernet ring are realized under the condition that traffic access is needless to know, full-link redundancy protection configuration is not required, and protection switching configuration complexity of the three-layer Ethernet ring can be lowered effectively.

The invention discloses a Toeplitz structure measurement matrix construction method based on singular value decomposition. The Toeplitz structure measurement matrix construction method comprises the following steps that firstly, a row vector which is composed of elements 0 and 1 and submits to random distribution is generated; secondly, a Toeplitz structure measurement matrix phi is constructed through the vector; thirdly, singular value decomposition is conducted on the Toeplitz structure measurement matrix; fourthly, singular values are optimized, in other words, the maximum value in the singular values in the Toeplitz structure measurement matrix phi is regarded as a nonzero singular value of a newly-constructed matrix; fifthly, a new measurement matrix phi' is constructed; sixthly, approximate processing is conducted on the newly-constructed measurement matrix phi', in other words, negative elements are set to be 0, non negative elements are set to be 1, and the final Toeplitz structure measurement matrix phi'' composed of the elements 0 and 1 is obtained. The Toeplitz structure measurement matrix has the advantages that the computation complexity is low, the storage space is small, the structure is simple, and hardware is easy to achieve. Furthermore, the reconstruction effect is good.

The invention discloses an object-based sensing method and device, a robot and a storage medium. The method comprises the steps of establishing a graph structure according to at least one piece of collected point cloud data; clustering the point cloud data according to the weight values of the edges in the graph structure to obtain at least one class of marked semantic tags after clustering; determining the number of objects of which the distance to the robot is smaller than a preset first distance threshold value according to the clustered at least one class of marked semantic tags; and controlling the movement of the robot according to the number of the objects with the distance to the robot smaller than a preset first distance threshold. According to the method, when object perception is carried out, clustering is carried out on the collected point cloud data according to the graph structure established by the point cloud data, semantic segmentation is realized, so that the motion of the robot is controlled, the clustering process is simple and efficient, the object perception efficiency is improved, and the safety of the robot and the surrounding environment in the moving process is ensured.

The invention discloses a custom icon-based rapid ship state recognition method, which comprises the following steps: (1) downloading a complete set of all ship varieties and ship navigation state information from a database, and generating a local configuration file; (2) setting corresponding display icons in different ship states through a ship icon management interface; (3) matching set corresponding display icons for received traffic ship targets; and (4) drawing corresponding icons when refreshing the traffic targets on the basis of system default settings and custom icon settings of a watch keeper.

The invention provides a method for accurately sensing the presence of indoor personnel. A sensing system and a sensing control management system of a remote end are constructed and started. The sensing system is formed by an infrared sensor probe, a single chip microcomputer and a PTZ motor device. The infrared sensor probe is driven by a PTZ motor and is fixed at an upper part space of one side in a closed space. The single chip microcomputer is used for processing a received signal of the infrared sensor probe, controlling the motor and providing web service. The sensing system is internally provided with a signal processing system, wherein the infrared sensor probe obtains an infrared wave signal in real time, the signal processing system is used for processing the infrared wave signal and forming an infrared heat source feedback value. The sensing control management system of the remote end is started and is used for managing and controlling the operation of the sensing system in the closed space. A sensing monitoring system of the remote end is started and is used for monitoring infrared wave signal data reported by the sensing system in real time.

The invention discloses an active studying, judging and reporting method and system for a power failure information fault of a special transformer user. The power failure data collection of the special transformer user based on a 5G module is performed, the structured and unstructured data of the special transformer user collected by an Internet of Things sensing terminal are efficiently uploaded, and based on the multi-source data fusion technology and an edge calculation module, power failure information feature analysis, efficient fault judgment and accurate positioning are achieved, power failure information of the 5G technology is reported, second-level sending of the fault information is achieved, and master station personnel can rapidly implement first-aid repair after receiving the power failure information.