969 results about "Slide window" patented technology

The invention discloses a collision identification method and system for a window cleaning robot, and relates to the technical field of robot environment perception, and the method comprises the steps: carrying out the time difference compensation and space synchronization based on a glass material type and collision detection parameters through a distributed perception collaborative analysis method, and generating a three-dimensional space vibration information matrix; enhancing the three-dimensional space vibration information matrix through a dynamic wavelet packet decomposition algorithm and a sliding window analysis method according to the type of a glass material; according to the enhanced three-dimensional space vibration information matrix, collision coordinates are calculated through a time difference positioning algorithm, the characteristic frequency of the vibration waveform is analyzed, and collision characteristic information is obtained; based on the collision feature information, combining safety parameters of glass material types, adopting a hybrid decision algorithm to analyze the collision feature information, and generating and executing a robot obstacle avoidance instruction; according to the method, the high-resolution three-dimensional vibration field is constructed through space-time collaborative modeling, and the collision coordinate calculation precision and the anti-interference capability are improved.

The invention discloses a machine question and answer dialogue method and device. The method comprises the following steps: receiving a user request of a target user, and obtaining question information in a target round call corresponding to the user request from the user request; a memory document of the target user is obtained, a preset model is adopted to analyze the question information and the memory document, answers corresponding to the question information are generated, information in the memory document is updated through movement of the sliding window, and the memory document at least comprises one of a user portrait and historical dialogue information; and outputting the answer. According to the method and the device, the technical problem that the accuracy of the obtained answers is relatively low due to the fact that the answers can be recommended only according to several adjacent rounds of dialogues in the related technology is solved.

The invention discloses a robot dynamic grabbing method based on a sliding window self-attention mechanism, and the method comprises the steps: firstly installing a camera, and calculating a transformation matrix between the camera and a mechanical arm coordinate system based on a hand-eye calibration technology; processing the static data set by adopting affine transformation to generate a grabbed dynamic data set with speed information; then, a dynamic grabbing network model based on a sliding window multi-head self-attention mechanism is constructed, and a loss function optimization model considering the object movement speed and the grabbing posture at the same time is designed; and finally, the trained model is deployed in a robot grabbing environment, a visual servo grabbing control scheme based on the position is designed, and follow-up movement and grabbing action of an end effector of a mechanical arm on a to-be-grabbed object are achieved. According to the dynamic grabbing method of the robot, the grabbing posture and the movement speed of the object can be quickly and accurately predicted based on a group of continuous single-channel depth images collected by the camera, and the grabbing problem of a universal object in a complex dynamic environment is solved.

The invention relates to the technical field of artificial intelligence, and discloses a speech synthesis method and device, equipment and a medium, and the method comprises the steps: obtaining a to-be-synthesized text and a reference audio; dividing the to-be-synthesized text into a plurality of text segments by adopting a sliding window algorithm; generating an audio waveform corresponding to each text segment based on the reference audio and a pre-trained speech synthesis model; and performing speech synthesis on the audio waveform corresponding to each text segment to obtain a target speech. Through the mode, the input text is segmented by adopting the sliding window algorithm to form a plurality of smaller and easier-to-manage text segments, and the plurality of text segments and the parameter audio are input into the speech synthesis model, so that the speech synthesis model generates the audio sentence by sentence based on the shorter text segments; therefore, the model can focus on accurate voice and intonation details of each segment, the accuracy and natural fluency of audio output are ensured, the degradation problem caused by the fact that the text length exceeds a typical length parameter is solved, and the stability of voice generation is improved.

The invention discloses an intelligent cockpit driver intention prediction method and system fusing scene semantics, and the method comprises the steps: collecting cockpit interaction data and driving dynamic data, extracting a data sequence of a specified time length through a sliding window method, and constructing a driver interaction intention data set; constructing an instruction fine tuning data set of scene semantic understanding based on logic rules and manual inspection, and converting the driving dynamic data into a scene semantic text through a fine tuning large language model; training a deep learning model by using the constructed driver intention data set, and outputting the most probable driver interaction intention; according to the method, the limitation of independent modeling of a driver action sequence and spatio-temporal information in a traditional method is effectively solved, collaborative modeling of driver interaction actions and scene spatio-temporal characteristics is formed by fusing context information of a scene spatio-temporal causal relationship, and accurate prediction of interaction intentions of various services such as air conditioners, music and seats in an intelligent cabin is achieved.

A vehicular rear slider window assembly includes a fixed window panel, a movable window panel, and a frame portion fixed relative to the fixed window panel. The fixed window panel has an opening, and the movable window panel is movable along upper and lower rails of the frame portion between a closed position and an opened position. Electrically conductive traces are established at a surface of the fixed window panel, and electrically conductive traces are established at a surface of the movable window panel. Electrical power to the electrically conductive traces of the movable window panel is provided wirelessly throughout all positions of the movable window panel between and including the opened position and the closed position.

Methods, apparatus, and articles of manufacture have been disclosed for performance scaling with parallel processing of sliding window management on multi-core architecture. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to at least one of execute or instantiate the instructions to partition a packet flow into two or more sub flows based on a packet flow distribution configuration, the two or more sub flows associated respectively with two or more sliding windows that are able to slide in parallel, provide the two or more sub flows to a buffer to schedule distribution of the two or more sub flows, dequeue the two or more sub flows from the buffer to one or more hardware cores, and transmit the two or more sub flows to a destination device.

The invention provides a dynamic sliding window-based shadowboxing coherence scoring method and related equipment. The method comprises the following steps of: obtaining a shadowboxing video; 3D skeleton points and space coordinates are extracted from the shadowboxing video; according to the shadowboxing style to which the frame picture belongs, distributing a weight level for each 3D skeleton point; according to the weight levels of the 3D skeleton points, assigning a sliding window range for each 3D skeleton point; judging whether the space coordinates of the 3D skeleton points are changed or not in a specified sliding window range, and if not, judging that the action is lagging; respectively counting the number of lagging times of each 3D skeleton point, and calculating a greeting style coherence score of each shadowboxing greeting style according to the number of lagging times; according to the invention, different sliding window ranges are allocated according to the weight levels of the 3D skeleton points, so that the computing resources of the system and the accuracy of detection are balanced; the jamming times of each 3D skeleton point are counted, and the coherence score of each Tai Chi style is calculated according to the jamming times, so that the fluency degree of the action can be evaluated more comprehensively.

The invention provides a VAE-ALSTM-based bridge structure state anomaly detection method and system, and the method comprises the steps: carrying out the standardization and sliding window segmentation of vibration monitoring data, extracting potential features through a variational auto-encoder, and carrying out the time sequence prediction and reconstruction in combination with an attention-enhanced long-short-term memory network, thereby achieving the detection of the abnormal state of a bridge structure. Fusing the prediction error and the reconstruction error to generate an abnormal score; a threshold value is automatically set through quartile distance statistics, and self-adaptive judgment under different bridge types is achieved; when the score crosses the boundary, real-time alarm is triggered; the system correspondingly comprises a data preprocessing and sample construction module, a VAE-ALSTM model construction module, a training stage prediction and reconstruction module, an error calculation and anomaly scoring module, a threshold setting module and an anomaly judgment and alarm module. The method and the system do not need manual threshold parameter adjustment, are high in precision and good in real-time performance, and can be widely applied to the fields of bridge health monitoring, operation and maintenance early warning and the like.

At present, most researches on a visual synchronous localization and mapping (VSLAM) system are established on a static scene, and a dynamic target in a real scene can seriously influence the accuracy and robustness of the VSLAM system, so that the invention provides an RGB-D visual SLAM algorithm for an indoor dynamic scene. The method comprises the following steps: (1) fusing a lightweight YOLOv8 target detection network in an ORB-SLAM3 tracking thread, performing instance segmentation on an image frame, and generating semantic information; (2) processing the semantic information by using a sliding window mechanism and a template matching strategy, identifying a dynamic target and removing dynamic feature points; and (3) a PROSAC algorithm is adopted to replace an original RANSAC algorithm to remove mismatching of feature points, and the matching performance is improved. In order to evaluate the effectiveness of the method, an experiment is carried out on a disclosed TUM RGB-D data set, and compared with an original ORB-SLAM3 and a relatively advanced dynamic DynaSLAM algorithm, the method has the advantages that the algorithm positioning precision and robustness in a dynamic environment are greatly improved, the frame rate can reach 45 fps or above under the condition of no GPU acceleration, and real-time operation can be ensured.

The invention discloses a chapter-level Chinese ancient book image restoration method and related equipment, and belongs to the field of ancient book restoration. The method comprises the following steps: acquiring ancient book images, and screening out intact ancient book images and damaged ancient book images; for an intact ancient book image, simulating damage in a random mask mode, and constructing a training data pair; for the damaged ancient book image, marking the position of the incomplete character, and determining the specific content of the incomplete character; constructing a repair model based on the diffusion model, and training the repair model; and using the trained model to gradually realize the restoration of the chapter-level ancient book image in the form of an overlapped sliding window in an autoregression mode. According to the method, on the basis of the damaged positions and the damaged text content of the ancient books marked by human experts, the diffusion model technology is adopted, an autoregressive restoration method is combined, automatic restoration of the chapter-level damaged ancient book image is achieved, and the overall consistency of the font style and the background is effectively kept in the restoration process.

Window assembly (160) with: a fixed panel (170) defining an opening; a rail (224) attached to the fixed panel (170); a guide (300) provided on the rail (224) and defining grooves (320, 330); a shoe (310) which overlaps at least partially with the guide (300) and defines slots; and a movement panel (180) supported by the shoe (310) and interacting with the guide (300) through pins extending through the slots and into the grooves (320, 330) such that the slots, together with the grooves (320, 330), cause the movement panel (180) to slide within the slots and with respect to the fixed panel (170) between a closed state in which the movement panel (180) blocks the opening and is substantially aligned with the fixed panel (170), and an open state in which the movement panel (180) clears the opening.

The invention provides a horizontal sliding window hardware system with a locking function, which comprises a horizontal sliding hinge, a horizontal sliding driving mechanism, a transmission mechanism and a locking mechanism, and is characterized in that the horizontal sliding hinge is connected between a window sash and a window frame; the horizontal pushing driving mechanism is arranged on the window frame and used for providing acting force for driving the window sash to be opened or closed. One end of the transmission mechanism is connected with the output end of the horizontal pushing driving mechanism, and the other end of the transmission mechanism is connected with the window sash and used for opening or closing the window sash. The locking mechanism comprises a first locking assembly and a second locking assembly, the first locking assembly is connected to the output end of the horizontal pushing driving mechanism and located in the window frame, and the second locking assembly is arranged on the window sash. According to the scheme, the transmission mechanism and the locking mechanism are linked with the horizontal pushing driving mechanism at the same time. And the horizontal pushing driving mechanism and the transmission mechanism are arranged on the window frame together for linkage, so that the matching precision is reduced, and hardware is convenient to maintain.

The embodiment of the invention provides a video encoding and decoding method and system based on a sliding window, and the method comprises the steps: a client determines a to-be-played first video, and receives frame file index information and a sliding window TS file generated by a video server according to the video information of the first video; the client obtains frame file index information, requests TS files one by one based on the frame file index information and performs video playing; when a client plays a first video, a video server adjusts the TS size in real time according to the playing progress, the network state or the user operation of the first video, pauses subsequent TS transcoding when the TS cache number reaches a first threshold value, and replies subsequent TS transcoding when the TS cache number is lower than a second threshold value.

A UWB-IMU combined indoor positioning method based on a sliding window factor graph specifically includes the following steps: S1. Solve the initial position of the system and provide the initial value of the system; S2. Parameterize the position and error state of the IMU as the optimization variables of the factor graph; S3. Perform IMU pre-integration calculation; S4. When UWB data is detected, perform UWB non-line-of-sight discrimination, add UWB ranging factors to UWB line-of-sight observation values, and add IMU pre-integration factors to the factor graph; S5. Determine whether the sliding window of the factor graph is full. If the window is full, marginalize and delete the earliest state in the window to reduce the amount of system calculation. If the window is not full, directly perform joint optimization to solve the optimization result. The present invention provides a UWB-IMU combined indoor positioning method based on a sliding window factor graph, converting the combined positioning problem of UWB and IMU into a graph optimization problem, using UWB ranging values ​​and IMU pre-integration as factors in the factor graph, considering the non-line-of-sight discrimination and sliding window marginalization of UWB, and obtaining a positioning result with higher accuracy.

A carriage arrangement (3) for a sliding wing (2) of a sliding door or a sliding window has a locking slider (16) which is preloaded spring-elastically and, in a stop position, faces a locking pin (14). The locking slider (16) is supported on a control block (12) and projects over an opening (15) of a pocket (13) in the control block (12), the pocket (13) receiving the locking pin (14). Distortion of the components of the carriage arrangement (3) is avoided.

A fitting (3) for a tilt-and-slide window or door for moving a sash (2) relative to a frame (1) has a cover plate (37) for concealing a sash-side fitting part (9). The cover plate (37) has two locking hooks (38, 39) for locking with the sash-side fitting part (9) and a support bar (41). The support bar (41) engages a free end of a retaining arm (13) of a stay arm (10, 11) and secures the retaining arm (13) in the vertical direction.

The utility model relates to a trackless sliding window which comprises a window frame and two window sashes, the two window sashes are horizontally arranged in the window frame in a sliding mode, the two window sashes can slide to be parallel or parallel to each other, embedded lifting handles are hinged to frames of the window sashes, lock catch rods are further arranged on the frames of the window sashes in a sliding mode, and the lock catch rods are connected with the window sashes in a sliding mode. The lock catch rod can be locked with or separated from the outer side of the window frame by sliding the lock catch rod, the top of the lifting handle abuts against the lock catch rod, and the lock catch rod can be driven to slide on the frame of the window sash by pulling the lifting handle. According to the trackless sliding window, the window sash is arranged in the window frame in the sliding mode, a pulley and a track do not need to be adopted, a gap between the window sash and the window frame is reduced, and the sealing performance of the trackless sliding window is improved; the lifting handle is arranged on the frame of the window sash to pull the window sash to slide in the window frame, so that the operation convenience is improved; the window sash can be fixed to the outer side of the window frame by lifting the handle to be linked with the lock catch rod, and the stability of the window sash is improved.

The invention discloses a motion state data acquisition method, system and device and a medium. The method comprises the following steps: acquiring sensor data monitored by a wearable device worn by a clapping hand of a user and user information; the sensor data collected every time are sequentially stored in a sliding window according to the time sequence, and whether the ball hitting action exists in the sliding window or not is recognized; when the ball hitting action exists in the sliding window, the position of the sliding window is adjusted so that the ball hitting moment of the ball hitting action can be located at the middle position of the window; and analyzing the sensor data in the adjusted sliding window according to the user information to obtain motion state data of the user. According to the method, the exercise index data of the athlete can be evaluated conveniently, economically, quickly and accurately, so that targeted training can be performed.

The present invention discloses a robot dynamic grasping method based on a sliding window self-attention mechanism. The method first installs a camera and calculates the transformation matrix between the camera and the manipulator coordinate system based on the hand-eye calibration technology; uses affine transformation to process the static data set to generate a grasping dynamic data set with speed information; then constructs a dynamic grasping network model based on the sliding window multi-head self-attention mechanism, and designs a loss function optimization model that simultaneously considers the object's motion speed and grasping posture; finally, deploys the trained model into a robot grasping environment, designs a position-based visual servo grasping control scheme, and realizes the follow-up movement and grasping action of the manipulator end effector to the grasped object. The robot dynamic grasping method of the present invention can quickly and accurately predict the grasping posture and motion speed of an object based on a set of continuous single-channel depth images collected by the camera, solving the grasping problem of general objects in complex dynamic environments.

A vehicular rear slider window assembly includes a fixed window panel, a movable window panel, a frame portion fixed relative to the fixed window panel, and an opening through the fixed window panel. The movable window panel is movable along upper and lower rails of the frame portion between closed and opened positions. A slider bearing system includes a guide element disposed at least partially along the lower rail and a carriage disposed at a lower perimeter region of the movable window panel. The guide element includes a bearing element that is slidably and non-rotatably received at a bearing receiving portion of the carriage. The carriage moves in a direction parallel to a longitudinal axis of the bearing element when the movable window panel moves between the closed position and the opened position.

The present invention relates to a fitting arrangement for doors or windows, as well as for lift-and-slide elements, such as lift-and-slide doors or lift-and-slide windows, comprising a faceplate for covering a fitting groove formed in a door or window, and a drive rod guided so as to be translationally displaceable along the faceplate. The drive rod comprises a first section that rests against a surface of the faceplate and a second section that projects beyond one end of the faceplate. The fitting arrangement further comprises a sensor board, coupled at least indirectly to the faceplate, with at least one contactless sensor for detecting the position of the drive rod. The sensor board is located at the end of the faceplate and flanks the second section of the drive rod. The at least one sensor is located on the side of the sensor board facing the second section of the drive rod.

The invention provides a software jitter elimination method and system, and the method comprises the steps: calculating a triggering time interval based on a current user triggering interaction signal collected in real time; based on the trigger time interval and a preset time judgment threshold interval, obtaining a trigger operation type; if the trigger operation type meets a preset execution requirement, obtaining an operation time sequence based on a preset time sliding window, and obtaining statistical data according to the time sequence; calculating a current operation dynamic threshold based on the statistical data; and responding to user triggering interaction based on the dynamic threshold value so as to carry out jitter elimination on software interaction. The problem that in the prior art, due to the fact that a fixed time threshold value is adopted in a high-frequency-triggered interactive application scene, part of operation needing to be responded is ignored, and the software interaction reliability is poor is solved. According to the method, the triggering interval is adaptively adjusted, the corresponding time threshold value is calculated to serve as a reference to eliminate shake of software triggering, and the software interaction reliability is improved.

The present invention relates to a fitting assembly for doors or windows and for lift and slide elements such as, for example, lift and slide doors or lift and slide windows, having a cover rail for covering a fitting groove formed in a door or window and a connecting rod translationally movably guided along the cover rail. The connecting rod comprises a first portion, which rests against a surface of the cover rail, and a second portion, which projects beyond an end of the cover rail. The fitting assembly furthermore comprises a sensor board which is at least indirectly coupled to the cover rail and has at least one sensor, which operates in a non-contact manner, for sensing the position of the connecting rod, and the sensor board is located in continuation of the cover rail and at the end of same and flanks the second portion of the connecting rod. The at least one sensor is located on the side of the sensor board which faces the second portion of the drive rod.

The invention relates to an interactive short text topic identification method based on a DW-ICNN and a affair graph, and the method comprises the steps: obtaining an interactive short text, and carrying out the preprocessing of the interactive short text; a sliding window is set, in the sliding process of the sliding window, the preprocessed interactive short texts are combined, then event matching is conducted on the texts in the window, and all the interactive short texts are distributed to an event bag based on an event matching result; obtaining a feature mark of a speaker, inputting the feature mark and the text information in the event bag into the DW-ICNN model, and obtaining a recognition result; according to the identification result, short texts of the same event are merged to form a virtual long text, information related to the long text is retrieved, the long text and the related information are input into a QWEN2.5 large model, the event and evolution relation is obtained, and the event graph is constructed according to the event and evolution relation. According to the invention, accurate perception of community topics and demands is realized.

The invention relates to the technical field of image processing, in particular to a battery pole piece detection method and system based on image recognition. The method comprises the following steps: acquiring a surface image of a battery pole piece to obtain a battery pole piece area, setting a sliding window to slide in the battery pole piece area to obtain a plurality of sliding windows, and acquiring a gray abnormal characteristic value of each sliding window; obtaining abnormal windows according to the gray level abnormal characteristic value, combining adjacent abnormal windows to obtain a plurality of abnormal areas, clustering pixel points in each abnormal area to obtain two clusters of each abnormal area, and obtaining a gray level abnormal characteristic value according to the distance between the clustering centers of the two clusters of each abnormal area and the gray level difference value. And obtaining the possibility that each abnormal region contains the bubble defect, and identifying the bubble defect according to the possibility that each abnormal region contains the bubble defect, thereby improving the accuracy of bubble defect identification.

The utility model relates to the technical field of door and window frames, and discloses a low-heat-transfer high-sealing-performance energy-saving mute door and window frame system which comprises a window frame body, a fixed window is fixedly connected to the outer side of the interior of the window frame body, a sliding window is slidably connected to the inner side of the window frame body, and a screen window is arranged on the outer side of the sliding window. The screen window is rotationally connected into the window frame body. The window frame body comprises two sets of sliding frames and two sets of low-heat-transfer window frame guide rail profiles. According to the low-heat-transfer high-sealing-performance energy-saving silent door and window frame system, the window frame body is composed of the two sets of sliding frames and the two sets of low-heat-transfer window frame guide rail profiles, the sliding window is composed of the low-heat-transfer window frame profiles and the double-layer tempered glass, and the fixed window is composed of the double-layer tempered glass and the low-heat-transfer mullion profiles; the low-heat-transfer-conductivity door and window frame has low-heat-transfer-conductivity performance, plays a role in heat insulation and heat preservation on a door and window frame system, saves energy consumption of an indoor air conditioning system and meanwhile has a mute effect.

A system that incorporates the subject disclosure may include, for example, a processor that facilitates a performance of operations. The operations may include obtaining an identification of an action to monitor during a gameplay associated with a game, storing a representation of a sliding window of the gameplay in a first storage medium, monitoring, by the system, for the identification of the action during the gameplay, detecting the identification of the action during the gameplay responsive to the monitoring, and responsive to the detecting, storing the representation of the sliding window of the gameplay in a second storage medium that is different from the first storage medium. Additional embodiments are disclosed.

The invention discloses a robust visual inertia SLAM method fusing point-line flow features, a storage medium and equipment, and the method comprises the steps: 1, carrying out the image enhancement of an input image based on an SSR-CLAHE algorithm, and carrying out the data preprocessing of an SLAM system for the original data of an IMU and the enhanced image, and obtaining the IMU pre-integration data and visual feature data; 2, performing time alignment processing on the visual feature data and the IMU data to enable the visual feature data and the IMU data to be in the same time frame, initializing a camera pose, a speed and IMU offset, performing triangularization on visual features to generate a preliminary 3D new road sign, and constructing an initial environment map; 3, inputting the 3D new landmark data including the initial camera pose, speed and IMU offset and in the constructed initial environment map into a sliding window for optimization, and estimating the pose and speed of the camera and the offset of the IMU in real time; and step 4, carrying out closed-loop detection and optimization. And the positioning precision and robustness are improved so as to adapt to a complex and changeable indoor environment.

The invention relates to an abnormal data detection method and device. The detection method comprises the following steps that S0, a sliding window with a set window length is used for sliding along to-be-detected data for one time according to a set step length, and a sequence formed by data elements in the window obtained after sliding each time serves as a sub-sequence; the method comprises the following steps: S1, for any sequence element in a current sub-sequence, respectively calculating distances between the sequence element and all other sequence elements in the sub-sequence, and counting the number of the distances greater than a safety threshold as a safety degree element of the sequence element; s2, acquiring a set of safety degree elements of all sequence elements in the current sub-sequence as the safety degree of the current sub-sequence; and S3, performing analysis according to the element distribution condition in the safety degree of the current sub-sequence to obtain an outlier abnormal point. The abnormal data in the complex change data can be reliably and effectively detected.