Abstract: A pulsed electron paramagnetic resonance spectrometer comprises: a microwave excitation generating unit for generating at least one microwave pulse; a microwave conducting unit comprising a resonant cavity and a microwave transmission line for transmitting microwaves, wherein the microwave transmission line is connected between the microwave excitation generating unit and the resonant cavity, and the resonant cavity is for placing a sample; a cryostat and magnet unit comprising a cryostat that performs ultra-low temperature cooling for the microwave resonant cavity, the microwave transmission line being disposed to pass through the cryostat and connected to the resonant cavity; the cryostat and magnet unit further comprises a magnet that provides a resonance test magnetic field around the sample, the resonant cavity being disposed in a room temperature gap of the magnet. The device of the present disclosure characteristics in ultra-low sample temperature (0.

Abstract: A tool-transition-free machining method includes: first, a primary turning is conducted, then holes are drilled out by a machining center, and finally a secondary turning is conducted.

Abstract: Provided is a plasmid library comprising a DNA insertion site and two barcode sequences located upstream and downstream of the site. The combinations of two barcode sequences of any two plasmids selected from the library are different. Also provided is a method for high-throughput paired-end sequencing of an inserted DNA using the plasmid library.

Abstract: Methods, systems, and computer program products for detection of an arbitrarily-shaped source of an abnormal event via use of a hierarchical reconstruction method are provided herein. A computer-implemented method includes detecting an abnormal event based on analysis of sensor data, wherein said analysis of the sensor data comprises comparing the sensor data to a user-defined threshold; generating a query based on the detected abnormal event; processing the query against one or more given data repositories; executing an inverse model using an output generated in relation to said processing to identify a source of the detected abnormal event, wherein the source comprises an arbitrary shape; and outputting the identified source of the detected abnormal event.

Abstract: Processes for fabricating multi- and monolayer silicene on catalyst metal surfaces by means of plasma-enhanced chemical vapor deposition (PECVD). Silicene is grown by means of PECVD from a starting mixture of H2 and SiH4 having an H2:SiH4 ratio of 100 to 400 on an Ag(111) substrate having a substrate temperature between 20° C. and 290° C., with the deposition being performed for about 10-25 minutes at an RF power between 10 W and 500 W and under a chamber pressure between about 100 mTorr and 1300 mTorr. In most cases, the substrate will be in the form of an Ag(111) film sputtered on a fused silica substrate. A multi-layer silicene film can be formed by extending the deposition time past 25 minutes.

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: The present disclosure provides a picture recognition method and apparatus, a computer device and a computer-readable medium. The method comprises: obtaining a to-be-recognized picture; according to the to-be-recognized picture and a pre-trained picture recognition model, acquiring a predicted class tag of the to-be-recognized picture; the pre-trained picture recognition model employs a convolutional neural network model, and the convolutional neural network model comprises at least one layer of kernel pooling layer upgrading a dimensionality of a channel from one dimension to multiple dimensions; recognizing a class of the to-be-recognized picture according to the predicted class tag of the to-be-recognized picture. By recognizing the to-be-recognized picture by using the picture recognition model having the kernel pooling layer, the present disclosure can achieve recognition of picture classes with finer granularities and effectively improve the picture recognition accuracy and efficiency.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for recognizing a body movement. A specific embodiment of the method includes: sampling an input to-be-recognized video to obtain a sampled image frame sequence of the to-be-recognized video; performing key point detection on the sampled image frame sequence by using a trained body key point detection model, to obtain a body key point position heat map of each sampled image frame in the sampled image frame sequence, the body key point position heat map being used to represent a probability feature of a position of a preset body key point; and inputting body key point position heat maps of the sampled image frame sequence into a trained movement classification model to perform classification, to obtain a body movement recognition result corresponding to the to-be-recognized video.

Abstract: A method and an apparatus for processing an image are provided. A method may include: acquiring a to-be-processed foggy image, and performing minimum value filtering on the to-be-processed foggy image to obtain a grayscale image of the to-be-processed foggy image; selecting, in a descending order of pixel values, a target number of pixel points from the grayscale image, and determining an image area corresponding to the selected pixel points from the to-be-processed foggy image; acquiring pixel values of the pixel points included in the image area, and determining an atmospheric light value based on the acquired pixel values; and performing image defogging processing on the to-be-processed foggy image based on the grayscale image and the atmospheric light value to obtain a processed image. The effect of image display and the efficiency of image processing can be improved.

Abstract: Disclosed is a manual adjustable tensioning device. Slope guide slots are formed in the periphery of a lead screw nut, and contacts are provided with slopes having the same angles and placed in the guide slots of the lead screw nut; two ends of a lead screw are respectively supported in threaded holes of a shell and an end cover; screws are connected to the lead screw nut via threaded holes, the tail end of each screw is in contact with one end of a lever, the other end of the lever is in contact with the slope of the lead screw nut, a roller is mounted at the tail end of the lever, and an extension spring is mounted at the end of the slope of the lead screw nut.

Abstract: The present application provides a lathe fixture for clamping an automobile hub, including a first base, a deflection block support block, a deflection block, a deflection block guide shaft, a circular plate and the like, a second base is connected with the first base via a group of eighth screws and a second pin, the circular plate is connected with the first base via a group of sixth screws, a power chuck is connected to the second base via a group of third screws, and an O-shaped rubber ring is placed between a power chuck and a groove of the second base. Compared with the conventional automobile hub lathe fixture, the lathe fixture has a large relaxing/clamping travel and may adapt to the machining of hubs of multiple sizes.

Abstract: The present application discloses a flexible clamping device. A sleeve is fixed on a base, an adjusting shaft is connected with a mandrel and the sleeve respectively, the mandrel is fixed on the upper end face of the adjusting shaft, and the bottom outer wall of the adjusting shaft is in small clearance fit with the inner wall of the sleeve; a lock screw is installed on the upper right side wall of the sleeve, a pinion is installed on the upper left side wall of the sleeve via a rotating shaft, saw teeth are provided on the side wall of a adjusting shaft, and the pinion can be engaged with the side teeth of the adjusting shaft.

Abstract: Embodiments of the present disclosure provide a method and apparatus for generating an animation. A method may include: extracting an audio feature from target speech segment by segment, to aggregate the audio feature into an audio feature sequence composed of an audio feature of each speech segment; inputting the audio feature sequence into a pre-trained mouth-shape information prediction model, to obtain a mouth-shape information sequence corresponding to the audio feature sequence; generating, for mouth-shape information in the mouth-shape information sequence, a face image including a mouth-shape object indicated by the mouth-shape information; and using the generated face image as a key frame of a facial animation, to generate the facial animation.

Abstract: The described examples provide for output of first content from a first source of a set top box output terminal for presentation in the full display area of display device. In response to receiving a wait request from a user input device, the outputting of the first content is switching to outputting second content from a second set top box source. While outputting the second content for presentation on the display device, the first content currently being provided by the first source is periodically output for a predetermined duration in a display device portion inset within the full display area that is presenting the second source content. In response to a return input from the user input device, the set top box switches from outputting the second content source to outputting first content currently obtained from the first source.

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 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 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: 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: 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, 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.