13results about How to "Resolve confusion" patented technology

Embodiments of the present specification provide a method and apparatus for training a generation model and generating training samples for a text classifier. In the method for training the generation model, first processing and second processing are performed on a first text sample. The first processing includes determining a semantic vector of the first text sample by a first encoder. A first category of the first text sample is predicted based on the semantic vector by a text classifier, and a first prompt text corresponding to the first category is constructed. The second processing includes determining a first discrete vector corresponding to the first text sample in a target vector space by a second encoder. A reconstructed text of the first text sample is determined based on the first prompt text and the first discrete vector by a decoder. The generation model is trained based on a reconstruction loss determined based on the first text sample and the reconstructed text.

The utility model provides a textile cloth cleaning device which comprises a suction box and a penetrating box transversely penetrating through the suction box, a mounting shaft located above the penetrating box is further arranged in the suction box, and a driver for driving the mounting shaft to rotate is arranged outside the suction box. A plurality of attachment rods extending from one end of the mounting shaft to the other end of the mounting shaft are further fixedly arranged on the periphery of the mounting shaft, an exhaust pipe is further fixedly connected to the suction box, an exhaust fan is connected to the tail end of the exhaust pipe, and when the exhaust fan runs, airflow in the suction box enters the exhaust pipe after passing through the attachment rods; an inlet and a guide outlet which are located outside the suction box are formed in the two ends of the penetrating box respectively, an air outlet and an air inlet which are located in the suction box and located in the top face and the bottom face of the penetrating box respectively are further formed in the penetrating box, and an air inlet is further formed in the bottom face of the suction box; a filter box is further arranged on the suction box, and a filter plate is further arranged in the filter box in a drawing mode. The textile fabric suction device solves the problem that in the prior art, in the suction process of textile fabric, warp and weft are likely to be disordered or sucked into an exhaust fan from the lower portion.

The utility model discloses a kind of quick slotting marking device of plastic bobbin, including rack, bobbin positioning mechanism, slotting execution mechanism and control system.Bobbin positioning mechanism is installed on rack, its positioning groove is V type or half-enclosing structure, cooperate semicircular positioning sleeve and limit block, realize bobbin fast accurate positioning, prevent deviation and shift.Slotting execution mechanism is integrated below positioning groove, contain linear slide, high-speed electric spindle and conical milling cutter, linear slide provides high-precision linear feed, ensure quick processing.Control system is composed of PLC controller and foot switch, cooperative control device operation.The utility model improves consistency and stability of clamping, optimizes structure layout, shortens tool stroke, realizes bobbin fast clamping, accurate positioning and high-efficiency slotting, single-piece processing time is short, marking has permanence, degree of automation is high, reduces artificial cost etc., comprehensive benefit is remarkable.

The application provides a live conference real-time subtitle generation method and system fused with AI, relates to the field of real-time subtitle generation, and comprises the following steps: collecting an audio stream and dividing the audio stream into segments, assigning a sound source identifier to each audio subsegment after sound source separation and identification; performing speech recognition on the identified audio and associating the sound source to generate identified text; correcting text ambiguity by using a context knowledge base containing a subject word table and historical text; cutting the text according to an audio energy envelope to form a subtitle unit; calculating a subtitle display time, assigning a vertical offset to subtitles with overlapping time but different sound sources to realize spatial separation; adjusting the subtitle display coordinates in combination with a disabled area determined by a video frame foreground, and rendering and outputting. The method realizes clear distinction and accurate presentation of multi-speaker subtitles, and improves the readability and user experience of conference live subtitles.

The application belongs to the technical field of natural language processing and knowledge engineering, and particularly relates to an HPC trusted data question and answer method and system based on closed-loop feedback, a device and an HPC trusted data knowledge base construction method. The method comprises the following steps: S1, collecting text data in the HPC field and screening out trusted text data; constructing a triple in the HPC field according to the trusted text data; S2, for the triple without conflict, removing the triple with consistent semantics, merging the triple with complementary information, and retaining the triple with refined description for the triple with refined attributes; for the triple with conflict, performing conflict resolution to obtain the triple without conflict; the conflict resolution comprises: retaining the triple with higher credibility; S3, constructing a vector knowledge base of HPC trusted data. The application solves the technical problem that the existing technology lacks adaptive trusted evaluation and conflict resolution mechanism in establishing a knowledge base, resulting in the generation of confused or wrong answers.

This application relates to the field of fire monitoring technology and provides a multimodal remote sensing fire smoke recognition method. First, remote sensing images are input into a target detection model, and features are extracted through multiple branches to output directional detection information. These multiple branches include a first branch and a second branch. The first branch extracts features from the input visible light spectral image, near-infrared image, and short-wave infrared image respectively; the second branch extracts features from the input thermal infrared image across multiple bands respectively. The directional detection information includes the category label, geometric center point coordinates, and rotated bounding box of the fire smoke target. Then, the directional detection information is input into a SAM model to segment the input remote sensing image, outputting a segmentation mask of the fire smoke target. Finally, the attribute information of the fire smoke target region is determined based on the input segmentation mask, including the coverage area and shape attributes of the fire smoke target.

The application discloses a kind of based on time series filtering aquaculture area extraction method.The method includes: obtaining multi-temporal optical image data to target area and pre-processing, constructs time series image dataset;Sample dataset for aquaculture area extraction model training is constructed;A kind of aquaculture area extraction model with hierarchical progressive characteristics and spatial adaptive capacity is constructed;Model training learns the spatial structure characteristics and time evolution characteristics of aquaculture area, obtains aquaculture area initial mask;Time series filtering processing is executed, through constructing time sequence stability discrimination mechanism, transient noise is inhibited, and the extraction result of time series consistent aquaculture area is obtained;Change analysis module of aquaculture area is constructed, and the spatial distribution of aquaculture area in different time phases is automatically compared and analyzed, and the boundary extraction and spatial area quantitative representation of each time phase aquaculture area are obtained.The present application can effectively alleviate the problem of spectral confusion and space-time change interference, improve the stability and reliability of aquaculture area extraction result in time dimension.

The utility model discloses an intelligent tourist guiding and indicating device for a scenic spot, and relates to the technical field of scenic spot equipment. The device comprises a stand column, a supporting sleeve is fixedly connected to the surface of the stand column, and an indication board is installed on one side of the supporting sleeve. A guide assembly is arranged on one side of the stand column and comprises a base installed on one side of the stand column, a map board installed on the top of the base and a route strip installed in the map board. Through the cooperation of the guiding assembly and the indicating assembly, the situation that in the prior art, tourists are mixed up due to the fact that the indicating angles of scenic spot guiding indication boards are close is effectively solved, the advancing routes of the tourists can be clearly and accurately indicated through the arrangement of the multiple indication boards and the lamp strips, and the tourist guiding effect is improved. The situation that the tourist walks in the wrong direction due to indefinite indication is avoided, in addition, the device is further provided with a voice broadcast function, the use experience of the tourist is further improved, and the tourist can obtain the needed information more conveniently.

The invention discloses a mobile medical vehicle with intelligent navigation and emergency call functions, and relates to the technical field of medical vehicles, the mobile medical vehicle comprises a medical bed, one side of the medical bed is connected with a navigation panel, the medical bed is internally provided with a connecting cylinder, the connecting cylinder can slide up and down along the height direction of the medical bed, and the connecting cylinder is connected with the navigation panel. An external thread groove is formed in the outer surface of the connecting cylinder, a mounting plate is connected into the medical bed, an internal thread groove matched with the external thread groove is formed in the mounting plate, and when the connecting cylinder is pressed to move downwards, the mounting plate and the external thread groove are matched with each other to drive the connecting cylinder to axially rotate; a signal can be transmitted to the navigation panel through the conflict switch by pressing the connecting cylinder by a patient, so that medical staff can be reminded in time; when the illness state is critical, the buzzer body is matched with the connecting plug to give out a strong alarm to quickly attract surrounding support. By means of the design, medical staff can efficiently deal with emergencies while focusing on the state of the patient.

This invention discloses a method and system for snow and ice identification based on remote sensing images. The method includes: acquiring remote sensing images of the target area and performing sensor-specific preprocessing and topographic radiometric correction to obtain a standardized surface reflectance image; extracting improved spectral index features, scale-adaptive texture features, and topographic occlusion compensation features based on multi-level feature coupling rules to construct a multi-dimensional feature set; generating a snow and ice probability map through a feature pyramid network based on an attention mechanism; generating an initial snow and ice mask using a dynamic window adaptive threshold segmentation strategy, combined with elevation zonation constraints and multi-temporal change trajectories; and finally, removing transient coverage and noise through spatiotemporal consistency joint optimization to generate an accurate snow and ice coverage map. This invention effectively solves the problem of spectral confusion between snow and ice, clouds, and bare rock, overcomes the influence of topographic shadows and transient interference, and significantly improves the accuracy and reliability of snow and ice identification in complex environments.

The invention relates to the technical field of natural language processing, in particular to a dialogue abstract generation method based on a large-scale language model LLM auxiliary tag and two-dimensional centrality and a storage medium thereof.The method comprises the steps that the large-scale language model LLM is used for generating an intention tag of a dialogue utterance, and a training set TS with a high-quality tag is constructed after confidence coefficient screening; taking a pre-training model as a backbone, and training a deep learning network model fusing a large-scale language model LLM auxiliary label and two-dimensional centrality based on the training set TS; inputting a to-be-processed dialogue into the trained deep learning network model F, and outputting a dialogue abstract; according to the method, the accuracy, the integrity and the interpretability of the dialogue abstract can be improved.

The present application belongs to the technical field of forestry remote sensing monitoring and image processing, and in particular to a forest canopy density estimation method based on a lightweight gradient morphological perception network. The method comprises the following steps: step 1: obtaining a forest canopy remote sensing image dataset; step 2: constructing a tree crown segmentation model based on a lightweight gradient morphological perception network; step 3: training with a boundary-enhanced compound loss function; and step 4: using the trained model for inference and forest canopy density estimation. The present application can efficiently run directly on a consumer-grade unmanned aerial vehicle or a portable device, meet the needs of rapid forestry investigation, accurately capture the small gradient changes between tree crowns, effectively cut the adhered tree crown boundaries, significantly improve the geometric precision of segmentation, effectively filter out redundant information such as undergrowth background and non-tree crown shadows, solve the texture confusion problem, and have extremely high practical value.

The utility model belongs to the technical field of plastic product production unloading, especially a kind of unloading device for plastic product production, including unloading guide frame, the front side fixed mounting of unloading guide frame has fixed frame, cooling setting box is cooperated with fan, cooling cooling in the transmission process of plastic product, accelerate product setting, avoid the deformation problem caused by temperature too high;Compared with the function that only transmission unloading of traditional unloading device can be carried out, the design ensures the form stability of plastic product in the unloading stage, improves product quality stability;Industrial high-definition camera and fill light can carry out quality detection to plastic product, realize automatic classification in combination with subsequent transmission structure: qualified product is transferred to second conveying belt by suction cup after being transmitted by first conveying belt;Unqualified product falls into collecting frame through unqualified product guide frame;This automatic classification replaces manual screening, solves the problem that qualified product and unqualified product are confused, reduces the artificial cost of warehouse link.