Abstract: The application discloses a pneumatic valve control device, which comprises an air cylinder provided with a first piston and an air outlet and a hydraulic cylinder provided with a second piston and an air vent; a partition is arranged between the hydraulic cylinder and the air cylinder, and a partition channel is arranged on the partition; the second piston is connected with a piston rod capable of passing through the partition channel; the piston rod is connected with a tappet valve for opening and closing the partition channel, and the tappet valve is capable of withdrawing from the partition channel with an upward movement of the piston rod and jacking up the first piston; and the air cylinder further comprises a locking and releasing mechanism capable of locking and releasing the first piston that is jacked up; and herein, when the locking and releasing mechanism is unlocked and the first piston is in a descending, falling back state, the partition channel is in a closed state, and the air outlet is in an

Abstract: Disclosed are method and apparatus for predicting hard disk fault occurrence time of hard disk failure, and storage medium. The method includes steps of: screening a hard disk on the verge of failure from a plurality of hard disks according to state data acquired of hard disks; calculating variation quantity and discrete quantity of each piece of the state data of the hard disk on the verge of failure acquired over a first preset period of time, to obtain a first predicted data set; and inputting the first predicted data set into a first training model to obtain probability of occurrence of failure for the hard disk on the verge of failure over a future second preset period of time.

Abstract: Embodiments provide for automated testing of an Application Under Test (AUT) that utilizes an infinite scroll element. Automated testing of the AUT can comprise executing one or more test scripts on the AUT which can present a user interface including a plurality of elements and the test scripts can perform one or more functional tests on the AUT through the plurality of elements of the user interface. During performance of the one or more functional tests, a scroll event associated with an element of the user interface can be detected and a determination can be made as to whether the element associated with the scroll event is an infinite scroll element. In response to determining the element is an infinite scroll element, a set of test results for the functional test can be recorded including results for the infinite scroll element and an interaction with the infinite scroll element.

Abstract: A system for testing a spectral response speed of a tunable filter is disclosed, which includes a collimating light source, a beam splitting element, a focusing lens, and an image recording device of light spot position arranged successively. The tunable filter is disposed between the collimating light source and the beam splitting element and configured to be continuously tuned within a certain wavelength range during testing. The beam splitting element is used to form light beams of different wavelength bands passing through the tunable filter into diffracted beams or refracted beams corresponding to different wavelength bands. The focusing lens is used to perform focusing. The image recording device of light spot position is used to record change information about positions where the diffracted beams or refracted beams corresponding to different wavelength bands are imaged.

Abstract: Provided are a file sending method, a file receiving method, and a file transceiving apparatus. The file sending method includes: creating a data sending process; acquiring a file to be sent, corresponding to the data sending process, from a data cache region in a user space; constructing metadata for the data sending process, and recording the metadata in a data reading and sending region in the user space; and sending the file to be sent and the metadata to a network adapter by means of a user-mode network device driver, and sending the file to be sent and the metadata by means of the network adapter.

Abstract: Systems and methods of associating text with a graphical user interface (GUI) object are disclosed. Disclosed systems and methods include identifying a GUI object and a text string. A positional relationship between the GUI object and the text string is determined. Based on the positional relationship between the GUI object and the text string, a map with an indication associating the GUI object with the text string is updated.

Abstract: The present application discloses a dual remote automobile diagnostic method, system, apparatus and a computer equipment. By establishing a remote communication connection with a target terminal, the second diagnostic apparatus obtains automobile data received by the service device while the first diagnostic apparatus is in continuous communication connection with the target terminal, so that the second diagnostic apparatus can perform remote diagnosis of the automobile. The target terminal can also directly perform remote control on the first diagnostic apparatus, so that the first diagnostic apparatus can diagnose faults of an automobile under the control of the target terminal. Namely, the faults can be diagnosed using the dual remote diagnostic method, so that there is no need to drive the automobile to the repair shop for professional maintenance. For local diagnosis or single-remote diagnosis, a continuous remote communication may be carried out during the remote diagnosis process.

Abstract: A cleaning method and a cleaning robot are provided. The method includes: after the cleaning robot obtains a cleaning instruction for a target scene, acquiring a current power of the cleaning robot and a scene map for the target scene; if it is determined that the current power is insufficient to clean all areas to be cleaned in the target scene, determining a target cleaning area from all the areas to be cleaned in the target scene, based on a target dirtiness level for each of the areas to be cleaned; cleaning the target cleaning area based on the scene map, the target dirtiness level for the target cleaning area and the current power. A more intelligent cleaning robot and a more reasonable cleaning process are realized.

Abstract: Separation media includes a membrane and a plurality of ligands immobilized on the membrane, the plurality of ligands comprising anion-exchange ligands, cation-exchange ligands, thiophilic ligands, hydrophilic ligands, hydrophobic interaction ligands, or a combination thereof. The separation media may be multimodal. The separation media may be configured for separation of target molecules comprising a nucleic acid, nucleotide, nucleoside, nucleobase, or an analogue or derivative thereof, from a reaction mixture. The separation media may be configured for use with organic solvents. A separation device includes the separation media. Materials including a nucleic acid, nucleotide, nucleoside, nucleobase, or an analogue or derivative thereof, may be purified at high speeds using the separation device.

Abstract: Disclosed are methods for forming an activated membrane that can be further derivatized for use purifying plasmid DNA using hydrophobic interaction separation methods. Activated membrane and derivatized membrane formed by the methods are also described. HIC systems incorporating the derivatized membrane as described herein can exhibit a high plasmid DNA binding capacity and short residence times.

Abstract: A control method for light sources of a vision machine and the vision machine. The control method includes the following steps: activating at least one first light source among n light sources to sense spatial information of an object in a field of view; and selectively activating the n light sources according to the spatial information of a sensed object; wherein the n light sources are distributed on a periphery of a front mirror surface of a lens of the vision machine, and n is a natural number greater than or equal to 2. The embodiment of the present disclosure enlarges the field of view of the vision machine, capable of providing corresponding light illumination based on environmental requirements, reducing the interference signal caused by reflection of a single light source, expanding the sensing range of the vision machine, and improving the sensing ability.

Abstract: Embodiments provide for automated testing of an Application Under Test (AUT) that utilizes an infinite scroll element. Automated testing of the AUT can comprise executing one or more test scripts on the AUT which can present a user interface including a plurality of elements and the test scripts can perform one or more functional tests on the AUT through the plurality of elements of the user interface. During performance of the one or more functional tests, a scroll event associated with an element of the user interface can be detected and a determination can be made as to whether the element associated with the scroll event is an infinite scroll element. In response to determining the element is an infinite scroll element, a set of test results for the functional test can be recorded including results for the infinite scroll element and an interaction with the infinite scroll element.

Abstract: A method and device for restoring and reconstructing a light source spectrum based on a hyperspectral image are provided. A hyperspectral image is processed to obtain a first maximum spectrum. The first maximum spectrum is matched with a light source spectral basis vector set in a light source spectrum dictionary, and a linear decomposition is performed to obtain a dictionary set. The maximum value of each waveband is obtained and iterative approximation is performed. Therefore, it can quickly restore the spectrum of the light source of the shooting environment from a single hyperspectral image using a relatively simple calculation process, and can still achieve a good restoration effect for monochromatic image scenes or image scenes with few colors, even close to the real light source spectrum. After the light source spectrum is obtained, this information can be further utilized for different kinds of applications.

Abstract: The disclosure relates to a method for generating personalized dialogue content, in which an implicit association between personalized characteristics and corresponding dialogue replies is extracted by collecting a set of personalized dialogue data; a vector representation of a dialogue context and texts of the personalized characteristics is learned with a Transformer model; finally, through learning a sequence dependency between natural languages, a subsequent content may be automatically predicted and generated from a previous text, so that the generating of corresponding reply content may be achieved according to the dialogue context. With various optimization algorithms added, a generation probability of universal reply can be reduced and a diversity of the generated dialogue content can be improved.

Abstract: This disclosure provides a sequential recommendation method based on long-term and short-term interests, in which an interaction sequence between a user and products is obtained by processing a purchase sequence of the user and a question data of the user in a dataset, characteristics of the products are represented with extracted comments of the user on the products; next, a stable long-term preference of the user is learned from a historical purchase sequence of the user with a recursive neural network, and immediate interests of the user are modeled with the question data. For the stable long-term preference and dynamic immediate interests, a dependence of different users on the two characteristics is described with an Attention mechanism, so as to effectively solve a problem of an inaccurate recommendation caused by an evolution of the preference of the user, while different dependence degrees of the different users on the long-term preference and immediate interests can represented effectively.

Abstract: Applications under test (AUT) may be tested by automated testing systems utilizing machine vision to recognize visual elements presented by the AUT and apply inputs to graphical elements, just as a human would. By utilizing the smallest image patch available, processing demands of the testing system are minimized. However, the image patch used to identify a portion of an AUT must be identifiable to the automated system. By selecting image patches that comprise the smallest size, but can be identified in an AUT by an automated system using machine vision, even as the AUT display is resized, reproportioned, noisy, or otherwise altered from the testing platform that was utilized for training.

Abstract: The disclosure provides an identification method based on an expert feedback mechanism, in which the expert properly give a feedback to results of a static model, the model is dynamically adjusted and updated according to the feedback of the expert each time, so that identifications for similar objects can be changed from a wrong identification to a correct identification. The model can adapt to dynamic changes of the environment, so that an identification accuracy and robustness of the model under the dynamic environment are improved with an expertise. The accuracy of the identification model is improved without repeated training, which solves a problem that the accuracy of the static model decreases in the dynamic environment, raising an adaptability of the identification model to environmental changes, shortening updating time of the model and improving working efficiency of the identification application system.

Abstract: This disclosure provides an accurate and personalized recommendation method based on a knowledge graph, which includes following steps: acquiring relevant knowledge of objects from a knowledge base according to historical behaviors of a user, and constructing a knowledge graph; initializing a vector representation of each node and its connection, and determining a receptive field of the node; generating training samples according to the historical behaviors of the user, and initializing a vector representation of all users and objects; acquiring a receptive field of an entity in the knowledge graph corresponding to the object in the training sample, then inputting the receptive field and the training sample to a graph neural network model to obtain predicted values of a possibility of an interaction between the user and the object.

Abstract: This disclosure provides a method for generating a personalized product description based on multi-source crowd data, which includes following steps: collecting data required for the personalized product description, the required data including reviews for crowd products and historical reviews of a crowd of users; portraiting the product and user to obtain a user preference label and a product label, which are then matched to obtain a personalized preference label; and generating the personalized product description in conjunction with the personalized preference labels. For different product attributes, different text generation methods are employed, and with different characteristics of the text generation methods such as extracted text generation and generated text generation, multi-source data are fused, so that the generated product description is smoother.

Abstract: The disclosure relates to a video anomaly detection method based on human-machine cooperation, in which video frames and traditional descriptors of optical stream of an image are utilized as an input for auto-encoder neural network coding, and converted into a representation content of a hidden layer, and then the representation content of the hidden layer is decoded, reconstructed and output. The auto-encoder network is trained with normal samples. In a test stage, if an input is a normal sample, a final reconstructed error keeps high similarity with an input sample; on the contrary, if the input is an abnormal sample, the final reconstructed error deviates greatly from the input sample.