387results about How to "Build accurately" patented technology

The invention discloses a personalized commodity recommending method which integrates attributes and structural similarity. In the method, users and commodities are used as nodes with characteristic information to be mapped to a network by integrating the attribute information and structural similarity information, and an information network chart is established according to the purchasing relation between customers and the commodities; and interests and preference among user node pairs are measured by the integrated attributes and structural similarity in the information network chart, and the nearest neighbor is selected by the interests and the preference to improve the accuracy of recommending. On the basis of the recommending method, the invention also discloses a personalized commodity recommending method which integrates the measurement of the attributes and the structural similarity. In the system, the interests and the preference of the users are measured accurately by a computing method of integrating the similarity of the attributes and the similarity of node structure backgrounds in the information network chart, and the generation efficiency of the nearest neighbor is improved by utilizing clustering technology. The method and the system can be applied to electronic commerce, and provide personalized commodity recommending for the users.

The invention relates to a device and method for composition based on a small quad-rotor unmanned aerial vehicle and belongs to the technical field of mobile robot positioning and navigation. The small quad-rotor unmanned aerial vehicle can rapidly enter a complex environment which a mobile robot cannot enter, carried laser radar is utilized to construct a two-dimensional map in real time according to an SLAM method, self localization and navigation of the unmanned aerial vehicle can be achieved by combining an IMU device and the like, and efficient exploration of a true complex area is achieved; the height of the small quad-rotor unmanned aerial vehicle can be conveniently adjusted to obtain two-dimensional maps on horizontal planes of different heights; the small quad-rotor unmanned aerial vehicle is rapid in movement speed and more flexible, movement and mapping of the small quad-rotor unmanned aerial vehicle are not subject to disturbance of obstacles on the ground, the range limitation of a detecting robot is broken through, the small quad-rotor unmanned aerial vehicle is extremely high in practical value, and accurate and rapid map construction can be achieved; compared with robot environment composition, the rotor wing robot can perform environment scouting more rapidly and more flexibly, and three-dimensional spatial images can be obtained.

The invention discloses a target detection method in a Codebook dynamic scene based on superpixels. The method is characterized by comprising the following steps that (1) a superpixel partition method is used for partitioning video frames, K superpixels are obtained by partitioning; (2) a Codebook background modeling method is used, a Codebook is established for each superpixel partitioned in the step (1), each Codebook comprises one or more Codewords, each Codeword has the maximin threshold values during learning, the maximin threshold values are detected, background modeling is completed; (3) after background modeling is completed, currently-entering video frames are subjected to target detection, if a certain pixel value of the current frames accords with distribution of the background pixel values, the certain pixel value is marked as the background, otherwise, the certain pixel value is marked as the foreground; finally the current video frames are used for updating the background model. The method solves the problems that a traditional Codebook background modeling algorithm is large in calculated amount and high in memory requirement, and established Codewords are not accurate are solved, target detecting accuracy and speed are improved, the requirement for real-time accuracy is met, and accordingly the requirement for intelligent monitoring in real life is met.

The invention provides an airborne laser point cloud classification method based on a high-order conditional random field. The airborne laser point cloud classification method specifically comprises the following steps: (1) point cloud segmentation based on DBSCAN clustering; (2) point cloud over-segmentation based on the K-means cluster; (3) construction of a point set adjacency relation based onthe Meanshift clustering; and (4) construction of a point cloud classification method of a high-order conditional random field based on the multi-level point set. The method has the advantages that:(1) a multi-layer clustering point set structure construction method is provided, and a connection relation between point sets is constructed by introducing a Meanshift point set cluster constrained by category labels, so that the categories of the point sets can be classified more accurately; (2) a multi-level point set of the non-linear point cloud number can be adaptively constructed, and information such as the structure and the shape of a point cloud target can be more completely represented; and (3) a CRF model is constructed by taking the point set as a first-order item, and higher efficiency and a classification effect are achieved, so that a higher framework is integrated, and a better effect is obtained.

The invention discloses a three-dimensional geological model constructing and integrating method for a mountain city area, and belongs to the field of three-dimensional geological models. The construction of the three-dimensional geological model for the mountain city area is achieved through the method; due to the fact that the features of the geological structure of the mountain city area are combined, according to the process of constructing a sectional framework, drawing a section and constructing a geological model and the method for constructing the geological model by utilizing the section, the construction of the three-dimensional geological model for the mountain city area is completed more accurately. According to the three-dimensional geological model constructing and integrating method, visualization integration of the three-dimensional regional geological model is further achieved, and a data basis is provided for application analysis of geological topics. Moreover, with regard to the result data of the formed three-dimensional regional geological model, visual integration simulation on a three-dimensional digital city platform is achieved, and real-time geological analysis of the three-dimensional geological model can be achieved in a three-dimensional scene.

The invention discloses an indoor map construction method for a mobile robot integrated with multiple sensors. The indoor map construction method comprises the following steps of respectively acquiring distance information of the mobile robot and an anchor point, gesture information of the mobile robot and environmental information by UWB, a speedometer and laser radar; building a top point-constraint map according to the distance information, the gesture information and the environmental information; optimizing the top point-constraint map by a map optimization algorithm, and acquiring optimized track data of the mobile robot; and building a raster map according to the optimized track data of the mobile robot and the environmental information. The speedometer is used for providing accurate gesture change within a short time of the robot, long-time accurate gesture change can be provided by integrating UWB positioning information, map construction is performed by combining the data ofthe laser radar, and the problem of poor accuracy during constructing indoor complicated environmental map by the laser radar is solved.

Embodiments of the invention disclose a method and a device for information recommendation based on conversation interaction, a server, and a storage medium. The method comprises: according to user behavior characteristics on historical reading interfaces and/or a user model, generating a reading theme inquiry message, the user model including at least one of the followings: user interest, user concerned topics, and user concerned authors; according to the generated reading theme inquiry message, performing conversation interaction with a user; according to contents of the conversation interaction, determining a reading theme of the user; and pushing information matched with the reading theme to the user. The method connects different topic information streams through natural language understanding and artificial intelligence technologies based on conversation interaction, to help users to explore potential interest and improve user duration and viscidity. A user model is established more accurately and controlled, so as to improve user experience.

A system to meter multiple agricultural products according to an independently prescribed rate for each in a variable-ratio blend of the agricultural products from a single opener in a plurality of such systems and openers across an applicator such as a drill. Bulk storage compartments associated with the applicator deliver multiple agricultural products to metering assemblies mounted in clusters or pods across the applicator. The agricultural products are fed from the metering assemblies, via a flow re-director, into a manifold, and then into a corresponding single opener having conduits to transport the agricultural product into the soil. Controllers independently regulate metering by the metering assemblies. The flow re-director and manifold provide blending of combinations of the agricultural products for each opener according to a field prescription.

The invention discloses an image retrieval method based on multiple intelligent algorithms and an image fusion technology. According to the method, on the basis of a reinforced learning and genetic algorithm and a clustering algorithm, an intelligent learning framework for active learning is constructed; the image fusion technology and the genetic algorithm are used during relevant feedback, so that an inquiry vector and a similarity matching model are corrected; and the inquiry precision and the inquiry efficiency are improved. The image retrieval method has the advantages of higher inquiry precision and inquiry efficiency and relatively high robustness for translation, rotation and scale transformation; furthermore, after a certain number of inquiries and learning, intelligent retrieval can be realized; and the inquiry precision and the inquiry efficiency are further improved.

The invention provides an event-oriented dynamic knowledge graph construction method. The event-oriented dynamic knowledge graph construction method comprises the following steps: data acquisition; event trigger word extraction, wherein trigger words in the first to-be-processed data are obtained through training of a first extraction model; event element identification: event elements in event sentences are acquired through a second extraction model, and the event sentences comprise trigger words; event relationship extraction: the event elements are processed through a third extraction modelto obtain event relationships among the event elements; the event ontology is constructed, the co-reference relationship in the event relationship is identified, the co-reference events are merged, and in addition, the invention further provides electronic equipment capable of realizing the method. According to the event-oriented dynamic knowledge graph construction method and device provided bythe invention, for event representation and processing, the entity knowledge base is used as a basis and a template, and the the event-oriented dynamic knowledge graph construction method and device have unique constituent elements and architecture and can be associated with the entity knowledge base, so that more accurate dynamic knowledge graph construction is realized.

The present invention relates to a construction method and a construction system for a stock standard news library. The construction method comprises: acquiring stock news information; constructing a stock standard library Z0; pre-compiling texts in the stock standard library; marking text features, and selecting feature words; computing information gain of the feature words so as to obtain feature values of the feature words; training and supporting an SVM algorithm by use of the feature values so as to obtain a classification module for extracting news features; updating the stock standard library by use of the classification model; updating and adjusting news composition in the stock standard library; and determining whether grabbed news information is positive news or negative news so as to construct the classification model, and continuously updating the news information in a database by virtue of a vector machine algorithm so as to realize the construction of the news library. The data base construction method is simple, is convenient in implementation, and is high in news data processing efficiency, and data information is updated in time and is accurate.

A method of making an article includes determining the greatest dimension of an article along a selected axis, and manufacturing a first part of the article between an end and a face lying in the laterally extending plane containing the dimension. The method further includes placing the article on the support of direct layer deposition (DLD) apparatus with the face upwards, and forming the remaining part of the article using the DLD apparatus.

The invention belongs to the field of medical rehabilitation technology, and discloses a virtual reality cerebral apoplexy upper limb rehabilitation training system and a control method thereof. The system comprises a scene constructing module, an action data acquisition module, a parameter configuring module, a central control module, an expert diagnosis module, a rehabilitation reminding module,a massage module, a VR displaying module and a training data generating module. According to the system of the invention, a rehabilitation plan which is made by medical caring personnel is compared with a stored rehabilitation plan through the rehabilitation reminding module; on the condition of no conflict, the rehabilitation plan is stored and preset reminding time is set, thereby facilitatingaccuracy in making the rehabilitation plan; furthermore through reminding a patient at preset reminding time, executing efficiency and accuracy of the rehabilitation plan can be improved; and furthermore virtual training can be realized through the scene constructing module, the action data acquisition module and the VR displaying module. The virtual reality cerebral apoplexy upper limb rehabilitation training system and the control method thereof have advantages of reducing training space occupation space, enriching training modes and improving rehabilitation training effect.

The invention discloses a floor sweeping robot based on a depth camera. The floor sweeping robot comprises a shell, the depth camera, a sensor device, a walking mechanism, a cleaning device, a drivingassembly and a control device. The depth camera is arranged on the shell. The control device positions the floor sweeping robot and establishes a surrounding map according to color information and depth information of a space environment acquired by the depth camera, and a sweeping route is planned on the basis; the driving assembly controls the floor sweeping robot to move according to the planned sweeping route, and the movement direction of the moving robot is adjusted in real time in the moving process according to surrounding sensing information acquired by a sensor array; the control device is further used for controlling the cleaning assembly to execute corresponding sweeping through the driving assembly according to a sweeping mode set by a user. The floor sweeping robot can capture richer space information, thus, the map is accurately established, the sweeping route is planned, and the cost is greatly reduced.

The invention relates to an intelligent terminal-based virtualized fitting method which is applied to a virtualized fitting system formed by an intelligent terminal, a third party fitting platform and at least one apparel design terminal; an apparel factory sends apparel parameters of all apparel samples to the third party fitting platform, the third party fitting platform builds apparel sample virtual fitting models, a client sends own actual posture parameters to the third party fitting platform, and the third party fitting platform builds a human body virtual fitting model of the client after building a human body three dimensional sample model in advance; recommended apparel samples matching with the actual posture parameters of the client, corresponding recommended apparel sample virtual fitting models, all stored apparel sample parameters and the apparel sample virtual fitting models are obtained after screening operation and then sent to the intelligent terminal of the client; the client puts favorite apparel sample virtual fitting models on the human body virtual fitting model of the client on the intelligent terminal, and whether dressing effects are satisfying can be observed.

The invention discloses a building method for a semantic knowledge base based on a dictionary. The method comprises the following steps that a knowledge database based on a dictionary semantic knowledge expression model is built; semantic knowledge paraphrased by semantic items are extracted according to a semantic knowledge extraction rule; the semantic item mapping for extracting the semantic knowledge is realized; the rest semantic knowledge paraphrased by the semantic items are extracted. The method provided by the invention can be used for flexibly and fast building the knowledge base containing rich semantics from the dictionary, and in addition, the knowledge expressed in the knowledge base has universality and authority. The invention simultaneously provides a deep semantic knowledge expression method and semantic similarity calculation method for semantic information processing of natural languages, wide application values are realized in the natural language processing field such as the information retrieval field, and the retrieval based on the semantics instead of keywords can be realized, so that the deep semantic retrieval result closer to the requirements of the user can be obtained.

The invention discloses a carotid artery three-dimensional image building device. The carotid artery three-dimensional image building device comprises a handheld scanning auxiliary device, an ultrasonic probe, an image frame capture module and a processing system. The ultrasonic probe is fixed to the handheld scanning auxiliary device; the handheld scanning auxiliary device drives the ultrasonic probe to move to enable the ultrasonic probe to be capable of continuously and stably collecting carotid artery two-dimensional slice images at different positions at a first speed; the ultrasonic probe is connected with the image frame capture module through a first data connecting line; the image frame capture module collects the carotid artery two-dimensional slice images transmitted by the ultrasonic probe at a second speed and transmits the collected carotid artery two-dimensional slice images to the processing system through a second data connecting line; the processing system extracts the carotid artery two-dimensional slice images collected by the image frame capture module at a third speed; and the carotid artery two-dimensional slice images are built into carotid artery three-dimensional images. By means of the carotid artery three-dimensional image building device, the carotid artery three-dimensional images used for auxiliary diagnosis can be accurately built.

An automated build-by-layer rainbow pallet system comprises a layer build track and a layer build cart that carries a layer build robot and has a number of positions for building rainbow pallets, for storing emptied supply pallets, and for storing empty half-pallets. On the rail-sides are dozens or hundreds of supply pallet conveyors for pallets of products to be picked-from when building the rainbow pallets. These are placed on one or both sides of the layer build track. The layer build robot can position itself in front of the appropriate supply pallet conveyor for picking. Once in position, half or full layers can be picked from the supply pallets and positioned over the target rainbow pallet to be built. The process of picking and building layers as the layer build cart repositions in front of the appropriate supply pallet conveyor is repeated until all of the on-board rainbow pallets have been built. The layer build cart returns to an unloading area where the emptied supply pallets and built rainbow pallets are conveyed off to respective exit conveyors. Several empty pallets are then moved from an empty pallet supply, and placed in the individual rainbow pallet build locations either by robot or conveying. The system is then ready to build more rainbow pallets. The system is controlled by a software program for orchestrating the overall movement and building of pallets.