742 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 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.

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 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.

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 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 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 utility model discloses an easy-to-clean sliding window, which relates to the technical field of sliding windows and comprises a top frame, side frames are fixedly connected to two sides of the lower end of the top frame, bottom frames are fixedly connected to the lower ends of the two groups of side frames, an upper transverse frame is fixedly connected to the middle upper parts of the two groups of side frames, and a fixed glass sash is fixedly mounted between the upper transverse frame and the top frame. Two sets of push-pull guide rails are fixedly arranged at the upper end of the bottom frame, movable window frames are slidably installed on the two sets of push-pull guide rails, the upper ends of the movable window frames are slidably connected to the lower end of the upper transverse frame, an upper end leakage groove is formed in the side, close to the outdoor space, of the upper end of the bottom frame, and a sewage draining through groove is formed in the side, close to the outdoor space, of the bottom frame. A cleaning assembly used for cleaning dust is installed on the bottom frame. Dust falling into the bottom frame is discharged by arranging the sewage discharging inclined seat, the driving screw is driven to rotate by rotating the driving rotating handle, the cleaning push seat is driven to horizontally move by utilizing a screw rod transmission principle, and therefore the dust is pushed into the sewage discharging through groove to be discharged.

The invention discloses an intelligent door lock safety management and control system based on the Internet of Things, and relates to the technical field of door lock management and control. A sliding window is adopted to process data, and improved adaptive median filtering is used for noise reduction; environment parameter dynamic features are extracted, and a three-dimensional environment feature vector is constructed; handle pressure distribution is collected, the angle change rate and complexity are calculated, and behavior feature vectors are constructed; generating a 128-bit dynamic key in combination with environment and behavior characteristics; and mixing the dynamic key and the master key, encrypting and transmitting to the cloud for password authentication and instruction updating. Multi-dimensional environment parameters are collected in real time, space-time association fusion is carried out on the multi-dimensional environment parameters and user operation behaviors, a dynamic secret key is generated, it is ensured that each authentication process is bound with the current environment and user operation characteristics, the secret key cannot be predicted or copied through historical data, and the defense capacity for man-in-the-middle attacks and data stealing is improved.

A seal for a sill for a sliding door and / or sliding window system (e.g., a lifting sliding door and / or lifting sliding window system which may include a sash and a sliding or lifting sliding sash, which can be moved in a displacement direction relative to the sash) may include a connecting part with a joint head for (e.g., form-fitting and / or force-fitting) attachment to a lateral end face of the sill extending in the displacement direction, and a sealing part with a sealing lip for sealing with respect to a base or floor, and a joint socket. The joint socket, for coupling the sealing part and the connecting part to one another, may engage around the joint head (e.g., in a form-fitting manner) and, in the coupled state of the sealing part and the connecting part, may be rotated relative to the joint head.

The invention discloses a copper ore classification method based on a lightweight sliding window converter. The method comprises the following steps: acquiring a dual-energy X-ray image of copper ore and constructing a data set; constructing a lightweight copper ore classification model, inputting the dual-energy X-ray image of the copper ore into the lightweight copper ore classification model, and classifying the copper ore; the method for constructing the lightweight copper ore classification model comprises the following steps: constructing an improved sliding window converter and a lightweight sliding window converter; taking the improved sliding window converter and the lightweight sliding window converter as a teacher model and a student model respectively; performing knowledge distillation on the teacher model and the student model to obtain a lightweight copper ore classification model; according to the method, a lightweight copper ore classification model is designed, and the parameter quantity of the model is reduced while the classification performance of the model is improved by combining comparative learning and knowledge distillation.

The invention discloses a time series data anomaly detection method and device, electronic equipment and a computer program product. The method comprises the following steps: acquiring a to-be-analyzed time sequence queue comprising a plurality of to-be-analyzed time sequence data; sliding a preset sliding window on the to-be-analyzed time sequence queue to obtain window data corresponding to the preset sliding window after each sliding; detecting a short-time trend of the window data according to a plurality of pieces of window data in the first window sequence; under the condition that the short-time trend shows that trend change occurs in the multiple pieces of window data in the first window sequence, the long-time trend of the window data is detected according to the multiple pieces of window data in a second window sequence, and the length of the second window sequence is larger than that of the second window sequence; and generating abnormal early warning information under the condition that the long-time trend shows that trend change occurs in the multiple pieces of window data in the second window sequence. The technical problem that in the prior art, the accuracy rate of an anomaly detection result obtained through trend detection is low is solved.

To provide fittings capable of suppressing interference of a handle with respect to a frame body.SOLUTION: In a sliding window, a door end stile 43 is constituted by a metal stile material 431 and a resin stile material 531. The metal stile material 431 includes: a stile body part 430 positioned further on the outer peripheral side than a panel 46; and a panel mounting groove 431A which has an indoor aspect face part 435 formed on the inner peripheral side with respect to the stile body part 430 and opposing to the panel 46 in a Z-axis direction, and in which the panel 46 is arranged. The resin stile material 531 includes a body frame part 532 arranged opposing to the indoor aspect face part 435 in the Z-axis direction. At the body frame part 532, an opening 102 for mounting a handle 16 is formed. The handle 16 is mounted on a mounting member 80 which is fixed to the metal stile material 431 via an opening 102.SELECTED DRAWING: Figure 3

The utility model relates to the field of fireproof windows, in particular to a fireproof sealing sliding window which comprises a window frame, a ventilation opening is formed in the window frame, a fireproof window sash is arranged on the window frame in a sliding mode, and a set of guide rails used for guiding the fireproof window sash to seal or open the ventilation opening are arranged on the window frame. The moving direction of the fireproof window sashes is inclined to the plane direction of the fireproof window sashes, the fireproof window sashes can abut against the corresponding ventilation openings, fireproof sealing strips are arranged on the sides, facing the ventilation openings, of the fireproof window sashes, and locking assemblies used for locking the fireproof window sashes to the ventilation openings are arranged on the window frame. Flames are effectively prevented from spreading, smoke is effectively prevented from passing through the window, and the fireproof sealing performance of the window is improved.

The invention relates to a tilt stay (2) for a translation tilt fitting (1) of a translation tilt window or a translation tilt door, comprising a base plate (13) fixed to a cover rail (8). The retaining arm (6) is supported on the heightened portion (14) of the base plate (13), and the control arm (20) is supported on the lower portion (19) of the base plate. Therefore, the inclined support (2) is particularly compact in structure.

The application relates to the technical field of doors and windows, and particularly discloses a high-air-tightness sliding window, which comprises a window frame and a movable window, the window frame is provided with an upper track profile and a lower track profile, the movable window is movably arranged in sliding grooves of the upper track profile and the lower track profile, the movable window comprises a rectangular frame composed of two vertical profiles and two horizontal profiles, the sliding grooves of the upper track profile and the lower track profile are both provided with convex edges, a rubber strip pressing groove is arranged on the inner side of each convex edge, a guide wheel set that interacts with the convex edges on the two sides of the upper track profile is arranged in the upper horizontal profile, and a roller sliding mechanism is arranged between the lower horizontal profile and the lower track profile; the high-air-tightness sliding window can adjust the interaction effect between the sealing rubber strip and the track profile according to the state of the movable window, so that the high-air-tightness sliding window can effectively reduce the problems of large pushing resistance and serious rubber strip abrasion caused by the friction of the sealing rubber strip under the premise of high air tightness.

The utility model discloses a dustproof sliding window, which is characterized in that baffles movably covering grooves are arranged in a track, the baffles are positioned below side plates and are in one-to-one correspondence with the side plates, the baffles are connected with the track in a sliding manner, vertically rotating gears are arranged between the baffles and the side plates, and the baffles and the side plates are respectively provided with driven racks and driving racks which are matched with the gears; the driving rack and the driven rack are connected to the upper side and the lower side of the gear in a meshed mode respectively, the baffles are in transmission connection with the side plates through the gear and move oppositely in the opposite direction, sealing pieces extending elastically are arranged on the inner sides of the baffles, and the sealing pieces shield the gap between the two baffles. The baffles movably covering the grooves are arranged, when the window frame slides to one end of the track, the baffles synchronously slide to the other end of the track, the baffles cover the grooves, the sealing pieces elastically extend relative to the inner sides of the baffles to shield the gap between the two baffles, the grooves are in a closed state, and dust and garbage can be prevented from entering the grooves.

The present application relates to the field of engineering machinery, provide a sliding window and working machine, including: frame, its lower end inside is equipped with cavity;First sash and second sash, set up on the frame, second sash relative to the first sash sliding;Drainage part, set up in the lower end of first sash and second sash, for the rainwater is introduced into the cavity, drainage part is equipped with with the self-sealing mouth that communicates with the cavity, and the self-sealing mouth is in the normal closed state;Drainage hole, set up in the first side of cavity, for the rainwater in the cavity is discharged. Thus if it rains, rainwater falls on the sash, flows down and flows to the drainage part. Under the action of gravity of rainwater, the self-sealing mouth opens, rainwater flows into the cavity through the self-sealing mouth, and is discharged by drainage hole again, to form drainage channel. At the same time because the self-sealing mouth is in the normal closed state, can effectively avoid the external dust from drainage channel into the cab inside.