27 results about "Single label" patented technology

The invention provides an object retrieval method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a retrieval target which comprises at least one seed object; extracting semantic features of each seed object from the description text of each seed object; according to the semantic features of the seed objects, a candidate object set similar to the retrieval target semantics is recalled from a candidate object library; under the condition that the data volume of the candidate object library is smaller than a threshold value, sorting the recalled candidate object sets by utilizing the attribute tags of the seed objects; and determining a similar object recommendation list corresponding to the retrieval target from the candidate object set according to the sorting result. According to the method, the deep semantics of the unstructured text and the concrete index of the structured tag are integrated, so that the problems of single matching dimension and insufficient accuracy caused by only depending on single tag matching are avoided, and the accuracy and comprehensiveness of similar object retrieval are remarkably improved.

This invention relates to a labeling device (1) for affixing labels to a container, comprising: at least one unfolding device (7a) for a label strip (7); at least one cutting blade (5) for cutting the label strip into individual labels; and a vacuum transfer cylinder (2) for transferring the labels to the container, wherein the vacuum transfer cylinder (2) has a plurality of movable vacuum suction rods (16a, 16b, 16c, 17a, 17b, 17c, 18a, 18b, 18c, 19a, 19b, 19c, 20a, 20b, 20c, 21a, 21b, 21c) for suction, conveying, and transferring the labels. The label is described, wherein at least one vacuum suction rod is assigned to each label to be transported; at least one rod controller is used to control the movement of the vacuum suction rod, wherein the rod controller includes at least one control cam that interacts with at least one control roller (16aa) of the vacuum suction rod (16a) to control the movement of the corresponding vacuum suction rod (16a), and wherein the at least one vacuum suction rod (16a) assigned to the label to be transported is controlled by the control cam (11a, 12a) of the rod controller, or wherein all vacuum suction rods (16a, 16b, 16c) assigned to the label to be transported are controlled by the control cam (11a, 12a) of the rod controller.

A hot melting labeling machine capable of preventing label warping comprises a pinch roll, a tension roll, a cutting rotary roll, a container conveying disc, a glue spreading roll, a fixed cutting mechanism, a telescopic cutting mechanism, a first sensor, a second sensor and a third sensor, the telescopic cutting mechanism is arranged on the cutting rotary roll, and the fixed cutting mechanism is arranged on the side of the cutting rotary roll. When the cutting rotating roller rotates until the inner cutter and the outer cutter are aligned, the inner cutter acts to cut off the label belt, then a label to be pasted is attached to the surface of the cutting rotating roller under the action of negative pressure, the label is pasted on a container after being coated with glue of the glue coating roller, and in the process, the label belt is cut into single labels, and then the single labels are pasted on the container. And the end part of the label cannot be wrinkled or twisted, so that the label adhered to the container cannot be warped.

The invention discloses a task prompt perception industrial defect detection model fine tuning method, and belongs to the field of model fine tuning, and the method comprises the steps: generating a task prompt feature for a detection model based on a segmentation target of a to-be-segmented image, and determining the image feature of the to-be-segmented image; performing feature fusion on the task prompt feature and the image feature to obtain a fusion feature of the to-be-segmented image; and performing segmentation reasoning based on the fusion feature to obtain a segmentation result of the to-be-segmented image under the segmentation target. According to the method, a task prompt perception mechanism is introduced in the fine tuning process, so that the model can further understand task semantics during segmentation reasoning, the accuracy and stability of a detection result are improved, negative effects caused by single labels or insufficient task understanding are reduced, and the detection efficiency is improved. And the generalization ability of the model under multiple defect categories and multiple scenes is enhanced.

The invention discloses a user interest modeling method and system based on user explicit interest labels and high-intention behavior weighting, and the method is characterized in that a user can independently select an interest label, and can add or cancel the interest label at any time; the system carries out matching recall on the platform information based on the interest label set to generate a candidate information set, and sorts the candidate information set to generate a recommendation list; the system monitors behaviors of the user in the recommendation list, low-intention behaviors and high-intention behaviors are distinguished, the high-intention behaviors trigger interest label weight updating, meanwhile, attenuation processing is executed on interest labels without behaviors for a long time, and a weight capping value is set; when the user actively cancels a single tag or all tags, the system stops tag recommendation or switches to first-level classification bottom recommendation; the updated interest label set and the corresponding weight participate in the next round of recommendation, dynamic closed-loop recommendation is achieved, and it is ensured that the recommendation result continuously fits the user interest and behavior data.

To provide a labeling device.SOLUTION: A conveyor of containers to be labelled along a path of travel, and one labelling unit comprising a respective transfer drum arranged along the path of travel and rotatable about its own axis of rotation with respect to the supporting base, and configured to receive from a supply station labels to be applied to the containers from the supply unit, and to transfer the labels received at the supply station to the respective containers at a transfer station angularly spaced from the supply station about the axis of rotation of the transfer drum; A sector is defined on the lateral surface of the transferring drum, extending along a portion of the circumferential extension, and containing a single label to be transferred to a corresponding container, a portion of the sector being rotatably movable about a rocking axis substantially parallel to and spaced apart from the rotation axis of the transferring drum, about a rocking axis arranged close to the axis of the transferring drum, about a rocking axis arranged spaced apart from the rotation axis of the transferring drum.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of in-image target recognition, and relates to a training set labeling and automatic generation method for in-image military target recognition. According to the specific technical scheme, the method comprises the steps of obtaining original pictures and unifying the size, dividing the original pictures into multiple groups of working directories, processing all the pictures in a two-focus manual labeling mode for each target category and forming a labeling file, labeling each picture in each group of working directories for the military target of the same target category, the method comprises the following steps of: performing first-stage merging processing on a single label file under each file directory, then performing sampling review, performing second-stage merging processing on a plurality of label files of the same picture under different groups of working directories, and automatically generating a training set by using the formed label files and original pictures according to a directory organization form required by a deep learning framework. The method is beneficial for realizing the automation of training set construction, and the manual labeling process adopts a simple and easy-to-implement method to quickly execute bifocus labeling, so that the manual efficiency can be effectively improved.

The application discloses a data labeling method and system, a model training method, a medium and an electronic device, and relates to the technical field of data processing. The data labeling method comprises the following steps: in response to a labeling personnel completing labeling of a piece of to-be-labeled data, determining a labeling duration of completing the labeling; periodically aggregating labeling durations of each labeling personnel; for each labeling personnel, determining a statistical feature of labeling durations of multiple pieces of to-be-labeled data completed by the labeling personnel; according to the statistical feature, quantifying the labeling durations of the multiple pieces of to-be-labeled data into corresponding reliability coefficients respectively; and outputting a structured data set, wherein the structured data set comprises labels of each piece of to-be-labeled data and corresponding reliability coefficients. Thus, by quantifying the labeling duration into the reliability coefficient, the labeled data is expanded from a single label to a structured data containing reliability information, which can provide differentiated sample weight basis for model training, and improve training efficiency and model precision.

This invention relates to the field of labeling machine technology and discloses a fully automatic labeling machine, comprising: a computer labeling machine, wherein a label suction module is provided at the end of a four-axis labeling robot in the computer labeling machine; the label suction module includes a base plate, a label suction seat, and a pushing module, the base plate is fixedly connected to the end of the four-axis labeling robot and moves synchronously with the four-axis labeling robot; multiple sets of label suction seats are arranged in a matrix array below the base plate, and each label suction seat is equipped with a vacuum adsorption unit at its bottom for independently adsorbing a single label; the pushing module includes two pushing arms and a kinetic energy supply module, and a transverse groove is opened through the center of the label suction seat, and the two pushing arms are slidably assembled in the transverse groove; this invention, by setting a pushing module including two pushing arms and a kinetic energy supply module, and performing a two-stage movement of "first pressing vertically down on the center, and then rolling horizontally in both directions", makes the center of the label paper first contact the surface to be labeled, and then continuously rolls from the center to both sides.

Embodiments of the present disclosure disclose a method, device, system and electronic medium for recognizing annotated incomplete images. A specific embodiment of the method includes: annotating an annotated incomplete image with a single label, inputting the annotated incomplete image into a feature extraction backbone network to extract a plurality of features at different levels; constructing a semantic mask module to generate a semantic mask according to a class activation map of the image and extract features of a single object from the features at different levels; constructing a mask optimization module to filter a certain amount of significant semantic masks for each class of object from all images; and constructing a bootstrap learning framework based on an expectation maximization algorithm to gradually recover and supplement constraint information in the network training stage by comparing semantic masks of objects of different labels, so that the network can more accurately recognize annotated incomplete images. The embodiment enhances the ability to distinguish, locate and recognize different objects in complex images, and improves accuracy through bootstrap.

Generally disclosed herein is an approach for modifying use of segment routing multiprotocol label switching (SR-MPLS) allowing an arbitrary MPLS control plane and traditional MPLS data plane to utilize a single MPLS label to represent two or more edges in a path. MPLS labels may be divided into smaller sub-labels, which together uniquely represent a pair of edges along a route. In one example, a single MPLS label may be divided into two sub-labels, the first sub-label representing a first edge, and the second sub-label representing a second edge. In this regard, longer source routes may be supported in a packet header in network designs that implement strict source routing.

The utility model relates to the technical field of labeling machines, in particular to an automatic labeling machine for cylindrical batteries. Comprising a machine table, a side frame, a battery conveying mechanism, a labeling device, a rolling and labeling mechanism, an unwinding mechanism, a deviation rectifying mechanism, a label tape cutting mechanism, a plurality of tape feeding guide rollers and a winding mechanism, wherein the deviation rectifying mechanism is arranged on the side frame and is positioned on the discharging side of the unwinding mechanism; the label tape cutting mechanism is arranged on the side frame and is positioned on the discharging side of the deviation rectifying mechanism; and the plurality of tape feeding guide rollers are distributed between the discharging side of the label tape cutting mechanism and the feeding side of the labeling device. According to the label material belt cutting device, a notch can be cut in the label material belt in an online mode so that a single label can be formed on the label material belt, due to the fact that only the notch is cut in the label material belt, waste cannot be generated during cutting, waste of the label material belt cannot be caused, the utilization rate of the label material belt is increased, energy is saved, and environment friendliness is achieved; and the label can be firmly rolled and pasted on the surface of the cylindrical battery, so that the labeling quality of the cylindrical battery is improved.

The invention relates to the technical field of data processing, in particular to an operation method and system based on data analysis. According to the method, the use behavior data and the use feedback data of the user are obtained, the value label and the preference label are correspondingly distributed, the commercial value level and the scene preference of the user are accurately positioned, the problem that a single label cannot comprehensively describe user attributes is solved, and the user experience is improved. An accurate user data support which is more suitable for a scene is provided for a background operation system; in addition, a marketing strategy matched with the user can be output from the marketing strategy library according to the value label and the preference label, and a personalized function interface is displayed, so that related services are pushed in a targeted manner, the conflict emotion of the user is reduced, and the marketing conversion efficiency is improved.

The invention relates to an intelligent doorbell advertising machine system supporting dynamic and global NFC interaction, and belongs to the technical field of Internet of Things advertising. According to the system, infrared induction and dual-mode NFC interaction technologies are creatively fused. The infrared sensor detects a human body and triggers voice advertisement broadcasting, and the server dynamically adjusts the advertisement sequence according to the induction frequency. The core of the system is that the NFC function module supports two working modes, namely a dynamic single-label working mode and a global selection working mode, wherein the dynamic single-label working mode dynamically updates NFC interaction content according to a currently played advertisement to realize accurate and direct operation; and the latter provides all selectable coupons or packages of the equipment to the user for selection by reading the ID of the fixed equipment. The system also adopts a double-sound-source architecture in which the doorbell and the advertisement volume are independently controlled. According to the method, the problems of single interaction and low conversion rate of a traditional advertising machine are solved, a whole-process closed loop from advertisement triggering to user registration, coupon receiving and payment is realized, and the accuracy of advertisements and the autonomous selection right of users are greatly improved.

A labeling station in labeling machines for pre-adhesive labels, including a feeding assembly with unwinding rollers of a respective spool of backing tape with adhesive labels applied thereto and at least one assembly for applying the labels which has a peeling device located proximate to the containers to be labeled and adapted to separate the individual labels from the backing tape for application, and at least two mutually composable parts, respectively a first part, which includes a first support which forms a first worktable, on which the application assembly is mounted, and a second part, which includes a second support, on which at least the feeding assembly is mounted. The feeding assembly further includes a splicing system for joining the backing tapes which are unwound from the unwinding rollers and a group of dandy rolls, while at least one first redirection roller is mounted on the first worktable.

The invention discloses a steel raw material conveying mistake proofing method and electronic equipment, and relates to the field of steel raw material conveying. The method comprises the following steps: establishing a binding relationship between a raw material number and a material storage unit, a service range and an authorized material number set of feeding equipment, and a conveying process template containing a target raw material number and a process path in advance, and sequentially executing material storage availability verification, equipment capability verification and material object consistency verification before starting a conveying task each time; and plan-equipment-real object triple closed-loop verification is realized. The three-layer verification mechanism fundamentally solves the typical problems that a traditional system only depends on a single label or manual verification, so that no real material exists, equipment is misused, and the materials are not aligned to a bin, and it is ensured that conveying is allowed to be started only under the conditions that the raw material state is available, the equipment has the processing qualification, and the real material in the bin is completely consistent with a plan; therefore, the risk of wrong materials is eradicated from the source.

1. Name of the designed product: label separating mechanism. 2. Use of the designed product: used for separating two labels printed continuously, and forming two single labels. 3. Design points of the designed product: in shape. 4. Picture or photo showing the design points: left view.

A labeling unit and a method for applying labels to containers are described. According thereto, the labeling unit comprises an unwinding device for unwinding a label-backing tape from at least one supply reel, a processing device for separating the label-backing tape into the individual labels and for transferring the labels onto the containers, and, arranged in-between, a loop buffer which is variable in size and is intended for temporarily storing the label-backing tape. Owing to the fact that the loop buffer comprises at least two, pivotably-mounted for changing the size, deflecting pulleys for the label-backing tape, and is designed and arranged to provide the sole, temporary storage between the supply reel and the separation unit, the label-backing tape can be temporarily stored with comparatively high storage dynamics and sufficiently high storage capacity for changing the label-backing tape, and also with a low outlay on an apparatus.

The invention relates to a double-task vulnerability intelligent evaluation method and system, belongs to the technical field of vulnerability analysis, and solves the problem that in the prior art, vulnerability evaluation only supports single-label and multi-task mutual isolation. The method comprises the following steps: acquiring a vulnerability description text and a vulnerability source code fragment of a to-be-evaluated vulnerability, and encoding the vulnerability description text and the vulnerability source code fragment according to a preset encoding rule to obtain a corresponding vulnerability encoding sequence; extracting a feature vector of the vulnerability coding sequence by using a target vector acquisition module to obtain a vulnerability feature vector; according to the vulnerability characteristic vector, determining the vulnerability type of the to-be-evaluated vulnerability by using the target linear classification head; and according to the vulnerability characteristic vector, using the target ordinal regression classification head to determine the vulnerability threat level of the to-be-evaluated vulnerability. Automatic multi-label classification and synchronous evaluation of classification tasks and hierarchical tasks in vulnerability evaluation are realized, the robustness and accuracy of vulnerability evaluation are improved, and the processing time delay and calculation overhead are reduced.

The application discloses a kind of ultra-wide positioning and directional label based on geometric constraint and method thereof, the label, modular in structure, single label is provided with double UWB antenna, can flexibly deploy antenna according to specific environment, install on a variety of complex mobile positioning platform, it is easy to assemble disassembly, deployment flexibility is high;The method is customized for label, with the actual distance len between first and second UWB antenna as geometric constraint condition, first, identify and exclude the base station most affected by non-line-of-sight, second, introduce direction angle auxiliary correction positioning coordinate, finally, obtain the optimal solution of label position and direction by Kalman filtering, gradually decompose the label position and direction problem solved under non-line-of-sight environment into the label position and direction problem solved under line-of-sight environment under four, three or two base station conditions.

The application discloses an MPLS label feature flow monitoring anomaly detection method and device and a storage medium, comprising: collecting label-level statistical data of a single MPLS label in an MPLS network; constructing a multi-dimensional feature vector in each sliding time window according to the label-level statistical data; inputting the multi-dimensional feature vector into an isolation forest model to obtain an anomaly score; if the anomaly score is in a warning interval, inputting the multi-dimensional feature vector into a self-encoder model to calculate a reconstruction error, and determining that the flow is abnormal when the reconstruction error exceeds a reconstruction error threshold; and if the anomaly score is not in the warning interval, determining whether the flow is normal or abnormal according to the deviation direction of the anomaly score relative to the warning interval. The application constructs a multi-dimensional vector based on MPLS label fine-grained features, uses an isolation forest to quickly screen normal and clear abnormal flows, calls a self-encoder to review boundary samples, and achieves the technical effect of giving consideration to detection efficiency and accuracy.

The invention provides an automatic browser testing method and device, a program product, a medium and equipment, in the automatic browser testing process, connection with a corresponding target label page is tried to be established based on a target label page identifier, the connection state is monitored in real time so as to capture possible connection abnormity, and when the connection abnormity is captured, the browser is automatically tested. The method comprises the following steps: sending an information query request to a debugging information interface of a browser to obtain metadata of a target label page, so as to refresh connection context information, obtain a latest label page state, and then retry to establish connection with the target label page according to the metadata. Therefore, the problem of disconnection can be automatically processed through a built-in exception capture and recovery retry mechanism, interruption of the whole automatic test task caused by accidental closing of a single label page is avoided, dependence on external monitoring and manual restarting of the system is reduced, and the test efficiency is effectively improved.

The invention discloses a default behavior portrait construction method and device based on a combined feature effect, and relates to the field of default behavior portrait construction, and the method comprises the steps: obtaining a to-be-predicted loan data set; the to-be-predicted loan data set comprises a plurality of to-be-predicted loan samples; predicting the loan overdue probability of each to-be-predicted loan sample by using a loan overdue probability prediction model to obtain a loan overdue probability prediction result; calculating the contribution of each feature of a loan person in each to-be-predicted loan sample to a loan overdue probability prediction result by using an SHAP method, and obtaining a Shapley value of each feature of the loan person in each to-be-predicted loan sample; and screening key features according to the Shapley value of each feature to construct a default behavior portrait. According to the method and the device, the default behavior portrait is constructed by utilizing multiple features, so that a portrait mode based on a single label is broken through, and the comprehensiveness and the accuracy of portrait construction are improved.

The invention belongs to the field of data enhancement of training data, and particularly discloses hierarchical data enhancement of expression data and an emotion recognition method and system based on the hierarchical data enhancement. According to the method, explicit perception of implicit features in a data set is realized by introducing a pseudo-age recognition model, fine-grained division is performed on the face image data set in combination with age and emotion categories, and data enhancement is further performed by adopting a difference dynamic adjustment enhancement strategy for samples of sub-groups of different sample sparse levels. According to the method, the limitation that simple sampling or unified enhancement is carried out only based on a single label in a traditional data equalization method is broken through, layered and differentiated data equalization processing can be realized in multiple dimensions, and the enhancement process is adaptively focused on a data scarce group (such as an elderly negative emotion sample); the method effectively improves the recognition consistency and fairness of the emotion recognition model in different ages and emotion categories, and provides a technical support with higher reliability and generalization ability for the emotion monitoring and emotion accompanying application of old people.

1. Name of the designed product: single label in a label roll. 2. Use of the designed product: used as a label in a roll; use of the claimed part of the design: used as a single label in a label roll. 3. Design points of the designed product: in the shape of a single label in a label roll. 4. Pictures or photos best indicating the design points: perspective view. 5. Other circumstances needing explanation Other explanations: this application claims partial protection, the part drawn by dotted line in the drawing is not claimed; the long and short alternate dot and dash line is used to indicate the boundary between the claimed part and the unclaimed part.

The invention discloses a paper box double-sided labeling mechanism and method, and the paper box double-sided labeling mechanism comprises a conveying device and a labeling mechanism, and further comprises a reversing mechanism; the conveying device is used for feeding paper boxes and outputting the paper boxes; the conveying device comprises a left conveying line and a right conveying line which are arranged in parallel, labeling mechanisms are erected on the left conveying line and the right conveying line which are arranged in parallel, and meanwhile a reversing mechanism is arranged on one set of the left conveying line and the right conveying line. The labeling mechanism is used for stripping a single label from a base material and pasting the label on a paper box by using a coiled self-adhesive label; the reversing mechanism is used for turning over the paper box with the label pasted on one side; according to the full-automatic paper box production line, a plurality of working procedures such as paper box conveying, double-face labeling, overturning and pressing are integrated into a complete automatic production line; through cooperative work of the two parallel conveying lines and the reversing mechanism, automatic circulation and 180-degree overturning of a paper box between stations are achieved, the mode that manual intervention is needed for overturning of the paper box after traditional single-face labeling is thoroughly changed, and the production efficiency is improved.

A method for grouping of multiple tabs in a web browser includes displaying a plurality of tabs by the web browser. Each tab has separate webpage content associated therewith. Two or more webpages are grouped into at least one category based on semantics of corresponding webpage content. Two or more tabs associated with the two or more grouped webpages are merged into a single tab. The single tab represents the grouped webpages. An aggregated view of contents associated with the grouped webpages is generated and displayed in a single browser window associated with the single tab. The aggregated view has two or more portions. Each portion of the aggregated view concurrently displays content of a corresponding grouped webpage.