Abstract: A human body tracing method, apparatus, and device, and a storage medium. The method includes: obtaining a current frame image captured by a target photographing device at a current moment; detecting each human body in the current frame image to obtain first position information of the each human body in the current frame image; calculating second position information of a first human body in the current frame image; determining target position information of the each human body in the current frame image according to the second position information of the first human body in the current frame image, the first position information of the each human body in the current frame image, and pedestrian features of all traced pedestrians stored in a preset list.

Abstract: A method, apparatus, device, and storage medium for predicting the number of people of a dense crowd, including: converting a first image, in which the number of people is to be determined, into a corresponding first thermodynamic chart according to a thermodynamic chart conversion model; and determining the number of people in the first image according to the first thermodynamic chart, wherein the thermodynamic chart conversion model is obtained by training according to a pre-marked second image and a thermodynamic chart corresponding to each second image, thereby achieving prediction of the number of people of a dense crowd, improving the accuracy in predicting the number of people of the dense crowd while improving management efficiency.

Abstract: A method and an apparatus for human behavior recognition, and a storage medium, the method includes: obtaining a human behavior video captured by a camera; extracting a start point and an end point of a human motion from the human behavior video, where the human motion between the start point and the end point corresponds to a sliding window; determining whether the sliding window is a motion section; and if the sliding window is a motion section, anticipating a motion category of the motion section using a pre-trained motion classifying model. Thus, accurate anticipation of a motion in a human behavior video captured by a camera is realized without human intervention.

Abstract: The present invention discloses a roller-type wheel flange surface powder removing device, that includes a corresponding roller brush that is replaced according to the size of a wheel to be processed. A manipulator places the wheel at corresponding positions of limit discs, output ends of cylinders extend to drive pressure blocks to press the wheel, and a sliding seat and a mechanism thereon reciprocate along with a rack within the travel range of guide pillars. While a second motor starts working, a first motor drives a second gear to rotate, and a first gear transmits the rotation speed to the roller brush through a support shaft according to a certain transmission ratio. The roller brush is driven by a third gear 23 and a rack 24 while rotating with the support shaft. The roller brush reciprocates to clean the surface of the wheel.

Abstract: A method for human motion analysis, an apparatus for human motion analysis, a device, and a storage medium. The method includes: acquiring image information captured by a number of photographing devices, where at least one of the number of photographing devices is disposed above a shelf; performing human tracking according to the image information captured by the plurality of photographing devices, and determining position information in space of at least one human body and identification information of the at least one human body; acquiring, according to the position information in space of a target human body of the at least one human body, a target image captured by the photographing device above a shelf corresponding to the position information; and recognizing an action of the target human body according to the target image and detection data of a non-visual sensor corresponding to the position information.

Abstract: A method, apparatus and a system for human body tracking processing, where an apparatus for video collection processing in the system has a built-in intelligent chip, and before uploading video data to a cloud server, the intelligent chip performs a pre-processing on the video data, retains a key image frame and performs a human body detection and a tracking processing on the key image frame by using human body detection tracking algorithm to acquire a first human body detection tracking result. Afterwards, the intelligent chip sends the first human body detection tracking result to the cloud server, so that the cloud server performs a human body re-identification algorithm processing and/or three-dimensional reconstruction algorithm processing on the first human body detection tracking result to acquire a second human body detection tracking result.

Abstract: A wheel flange plane cleaning device, in which three second cylinders drive respective first pressure blocks to extend to contact the rim of a wheel, then stepped limit rings, second cylinders and first pressure blocks position and clamp the wheel in the centers of end face support plates, the output end of a first hydraulic cylinder drives a lifting plate, a servo motor and a brush plate to extend to the positions where a brush is in firm contact with the flange plane of the wheel, the output end of the servo motor drives the brush and the brush plate to rotate at a certain speed, the servo motor stops rotating after a period of time, and the three second cylinders drive the respective first pressure blocks to contract to the positions where the wheel can be freely pulled up.

Abstract: A wheel fixture is disclosed. A main shaft drives a first positioning pull rod on a chuck body to extend and contract in the radial direction via a tightening screw, a clamping jaw is at a position within the travel range of extension and contraction, a wheel is positioned and clamped by the fixture, airtight support blocks are pressed down by the wheel and flush with the support plane of the clamping jaw, at this time, airtight ejector rods press second O rings to prevent air from flowing out of the airtight detection position, a detection system of a machine tool detects a preset air pressure value which indicate that the wheel has been placed correctly, and if the wheel is not placed correctly on the fixture, the machine tool will alarm through the detected pressure feedback.

Abstract: A professional video converter is a video signal processing device built for audio-video applications to convert from one video format to another. It includes a heavy-duty enclosure, an electronic circuit to convert/distribute/scale/buffer/amplify video and/or audio and an internal power supply unit. The power supply comes from a mains-level electrical input connector. An additional electrical output connector may be added to power extra equipment. The unit can be installed and suspended safely, thanks to a built-in rigging thread and attachment points on its enclosure. The unit may be placed securely on any surface using the rubber pad, and magnets allow clean stacking of multiple devices. The connectors are also protected by the specific shape of the enclosure of the converter.

Abstract: A method for producing a sputtered stoichiometric a-Al2O3 thin film. A substrate is placed into a chamber containing an Al target to be sputtered. The chamber is evacuated to a base pressure of about 7×10?8 Torr or lower and the temperature of the substrate is maintained. With a sputtering shutter in the chamber closed, Ar gas is flowed into the chamber to backsputter the Al target and Ar and O2 gases are flowed into the chamber to presputter the target. The shutter is opened and Al is sputtered onto the substrate in the presence of the Ar and O2 gases to obtain a sputtered a-Al2O3 film on the substrate.

Abstract: A method for producing high-temperature sputtered stoichiometric TiN thin films. A substrate is placed in a sputtering chamber a Ti target to be sputtered and the substrate temperature is controlled to be between room temperature and about 800° C. The sputtering chamber is evacuated to a base pressure of 2×10?7 Torr or lower, The Ti target is presputtered under an Ar gas flow at a pressure of 2-15 mTorr in a radio frequency (RF) power of 50-200 W. The Ti is then sputtered onto the substrate in the presence of N2 and Ar gas flows under the same pressure and RF power, with the ratio of N2 to Ar favoring N to ensure that the film is nitrogen-saturated.

Abstract: Disclosed is a wheel flange drainage channel cleaning device, comprising a frame, lifting cylinders, guide posts, a servo motor, a lifting platform, a bearing seat, a shaft, a bearing, a rotating platform, a sleeve and the like. Four clamping cylinders move synchronously to clamp a wheel, the lifting cylinders may control ascending and descending of the lifting platform, the servo motor may control rotation of the rotating platform, and when the linear motor drives the racks to reciprocate up and down, the brushes swing left and right, so that aluminum scraps blocked in drainage channels beside the central hole and outside the central hole are easily cleaned.

Abstract: The present application provides a stationary fixture for machining of an aluminum alloy wheel, includes a machine tool base, first supports, end covers, a first power shaft, bearings, a second end cover, and the like, wherein the first support and a second support are mounted on the machine tool base, the first power shaft is mounted inside a bearing seat, a group of bearings is mounted between the bearing seat and the first power shaft, a nut is mounted at the left end of each bearing to position the inner ring of the bearing, the first end cover is mounted on the left side of the bearing seat at the upper end of the first support by screws, the first sealing ring is mounted between the first end cover and the first power shaft, and the second end cover is fixed to the right side of the bearing seat.

Abstract: The invention discloses a wheel machining tool. A rough turning tool and a finish turning tool are respectively arranged on two sides of a tool head, the primary declination angle ? of the rough turning tool is set to 90° to 120°, and the primary declination angle ? of the finish turning tool is set to 85° to 95°; the axial height difference between the rough turning tool and the finish turning tool is set to 0.2-0.5 mm; the distance c between the rough turning tool and the tool head is set to 5-8 mm, and the distance b between the finish turning tool and the tool head is set to 3-5 mm. The rake angle ? of the rough turning tool is set to 12°-15°, the rake angle ? of the finish turning tool is set to 14°-17°.

Abstract: In certain embodiments, a Service Deployment Infrastructure (SDI) instance is disclosed. The SDI instance can intelligently allocate resources of a rack to one or more virtual machines as part of provisioning a requested service. The SDI instance can use machine-learning techniques to evaluate historical data associated with a requested service. The machine-learning techniques can be used to generate one or more models that simulate the possible configurations of sizes for virtual machines for a particular service. The one or more models can be accessed at runtime to fit virtual machines of a requested service into servers of a rack in a manner that minimizes unused resources with multi-dimensional constraints.

Abstract: Novel thermoplastic polyhydroxyether-based compositions for use as a laser-releasable composition for temporary bonding and laser debonding processes are provided. The inventive compositions can be debonded using various UV lasers, leaving behind little to no debris. The layers formed from these compositions possess good thermal stabilities and are soluble in commonly-used organic solvents (e.g., cyclopentanone). The compositions can also be used as build-up layers for RDL formation.

Abstract: A method for tracking a target profile in a video includes: determining position information of corner points of the target profile and parameter information of a first edge formed by adjacent corner points in a previous image frame adjacent to a current image frame; tracking corner points of the target profile in the previous image frame to acquire position information of the corner points of the target profile in the current image frame to determine parameter information of a second edge; predicting to acquire predicted parameter information, and generating candidate target profiles based on the predicted parameter information, in response to determining that a similarity between the first edge and a second edge corresponding to the first edge being less than a first preset threshold; and determining a final position of the target profile in the current image frame based on the candidate target profiles.

Abstract: A method and apparatus for processing an image are provided. A specific embodiment of the method includes: acquiring a target image and a to-be-inserted image, and determining an insertion area in the target image; adjusting, based on an average lightness value of the insertion area and an average lightness value of the to-be-inserted image, a lightness value of a pixel included in the to-be-inserted image, an average lightness value being used to represent a lightness of an image; and adjusting, in response to determining that a difference between a color attribute value of the acquired to-be-inserted image and a color attribute value of the insertion area is outside a preset range, the color attribute value of the to-be-inserted image such that the difference is within the preset range. This embodiment improves the pertinence of adjusting image data.

Abstract: Embodiments of the present disclosure disclose a method and an apparatus for processing an image. A specific embodiment of the method includes: acquiring a target image including a polygon image; inputting the target image into a pre-trained convolutional neural network to obtain a characteristic vector of the target image, the convolutional neural network being used to represent a correspondence relationship between an image and a characteristic vector, and the characteristic vector being a vector including a category feature, a position feature, and a keypoint feature of the polygon image; and recognizing an image area of the polygon image based on the category feature, the position feature, and the keypoint feature. This embodiment improves the accuracy of polygon image recognition.

Abstract: A downlink Hybrid Automatic Repeat Request (HARQ) feedback method is provided, and includes: determining whether a currently used frame structure needs to be reconfigured; determining an uplink subframe for implementing a downlink HARQ feedback corresponds to each downlink subframe according to the currently used frame structure, when no reconfiguration is needed; determining an uplink subframe for implementing the downlink HARQ feedback corresponds to each downlink subframe in a last radio frame before the reconfiguration time point, when the reconfiguration is needed, according to a first frame structure used before a reconfiguration time point and a second frame structure to be used; determining an uplink subframe for implementing the downlink HARQ feedback corresponds to each downlink subframe in a last radio frame before the reconfiguration time point; when receiving downlink data sent by a base station on any downlink subframe, sending a HARQ feedback message for the downlink data.