Abstract: Provided are a floor material identification method, system and device, and a storage medium. The floor material identification method the floor material identification method includes: acquiring a vibration signal generated by a cleaning robot when operating on a floor of a material of a plurality of materials; determining at least one identification parameter for floor material identification based on the vibration signal; and identifying a floor material type based on the at least one identification parameter. Floor materials are distinguished by characteristics of different vibration signals from the floor of different materials, and thus problems such as high cost, low reliability and inaccurate identification result of the existing floor material identification method can be solved.

Abstract: A wearable robot for integrated fracture reduction and rehabilitation, comprising a proximal ring, a distal ring, six driving branch chains, motor driving device and manual driving device; the six driving branch chains are divided into two groups, each of them comprises a platform connecting sleeve, a sliding bearing, a bearing locking nut, a proximal Hooke hinge, an intermediate prismatic pair, a sleeve, a force sensor, and a distal Hooke hinge; one end of the driving branch chain is connected with the proximal ring by a connecting sleeve fastener, and the other end is connected with the distal ring by nut, each driving branch chain is connected with the driving devices via D-shaped shaft sleeve. The wearable robot has electric-manual dual model driving, and the branch chain can be quickly replaced during and after the operation.

Abstract: A ramp generator includes an operational amplifier having an output to generate a ramp signal. An integration current source is coupled to a first input and a reference voltage is coupled to a second input of the operational amplifier. A feedback capacitor is coupled between the first input and the output of the operational amplifier. A monitor circuit is coupled to the first and second inputs of the operational amplifier to generate an output flag in response to a comparison of the first and second inputs. A trimming control circuit is configured to generate a trimming signal in response to the output flag. An assist current source is configured to conduct an assist current from the output of the operational amplifier to ground in response the trimming signal generated by the trimming control circuit.

Abstract: The present disclosure discloses a method and apparatus for training a model, a method and apparatus for synthesizing a speech, a device and a storage medium, and relates to the field of natural language processing and deep learning technology. The method for training a model may include: determining a phoneme feature and a prosodic word boundary feature of sample text data; inserting a pause character into the phoneme feature according to the prosodic word boundary feature to obtain a combined feature of the sample text data; and training an initial speech synthesis model according to the combined feature of the sample text data, to obtain a target speech synthesis model.

Abstract: The present disclosure provides a method and apparatus of synthesizing a speech, a method and apparatus of training a speech synthesis model, an electronic device, and a storage medium. The method of synthesizing a speech includes acquiring a style information of a speech to be synthesized, a tone information of the speech to be synthesized, and a content information of a text to be processed; generating an acoustic feature information of the text to be processed, by using a pre-trained speech synthesis model, based on the style information, the tone information, and the content information of the text to be processed; and synthesizing the speech for the text to be processed, based on the acoustic feature information of the text to be processed.

Abstract: A cable trench inspection robot. The cable trench inspection robot includes a base spreading system, and a camera lifting system disposed on the base spreading system, where the base spreading system includes a base plate, a linear action unit, a cantilever plate, a walking assembly, and a jacking assembly, and the camera lifting system includes a travel block, an imitated four-bar assembly, a support rod, and a camera assembly. Such inspection can realize a through-wall operation by using a cable trench, thereby avoiding many use problems caused by a firewall, and efficiently completing a predetermined inspection task.

Abstract: A training system may create and train a machine learning model with knowledge transfer. The knowledge transfer may transfer knowledge that is acquired by another machine learning model that has been previously trained to the machine learning model that is under training. The knowledge transfer may include a combination of representation transfer and instance transfer, the two of which may be performed alternatingly. The instance transfer may further include a filter mechanism to selectively identify instances with a satisfactory performance to implement the knowledge transfer.

Abstract: Aspects disclosed herein include an electrochemical cell comprising: an anode comprising: a first surface comprising aluminum metal or an aluminum alloy; a liquid metal on the first surface, the liquid metal being in liquid state during operation of the battery and the liquid metal having a different composition than that of the first surface; and aluminum-rich dendrites extending from the first surface and in contact with an electrolyte; a positive electrode; and the electrolyte between the positive electrode and the negative electrode, the electrolyte being capable of conducting ions.

Abstract: A ramp buffer circuit includes an input device having an input coupled to receive a ramp signal. A bias current source is coupled to an output of the input device. The input device and the bias current source are coupled between a power line and ground. An assist current source is coupled between the output of the input device and ground. The assist current source is configured to conduct an assist current from the output of the input device to ground only during a ramp event generated in the ramp signal.

Abstract: This application provides a parameter configuration method, including: receiving a configuration parameter of a service system and a service objective of the service system through a standard interface, performing parameter optimization on the configuration parameter to obtain a recommended parameter value that meets the service objective, and then outputting the recommended parameter value, to implement parameter configuration for the service system. The method abstracts parameter configuration problems in different service scenarios into a mathematical problem of inputting and expression through a standard interface. In this way, a universal parameter configuration method is provided, without case-by-case parameter configuration. In addition, an expert in the service field can independently complete parameter configuration without artificial intelligence experience, thereby improving configuration efficiency and reducing configuration costs.

Abstract: A video generation method, a video playing method, a video generation device, a video playing device, an electronic apparatus and a computer-readable storage medium are provided. The video generation method includes: acquiring a first video; executing Gaussian blur special effect processing on the first video to obtain a second video; superimposing an additional dynamic effect on the second video to generate a third video, wherein the additional dynamic effect is a dynamic image that presents a related information corresponding to the first video in a dynamic effect; and splicing the first video with the third video to generate a fourth video, wherein an image area of the fourth video comprises a first image area configured to display an image of the first video and a second image area configured to display an image of the third video.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for presenting a recommendation. In one embodiment, a system is introduced that includes a plurality of models for obtaining a recommendation score. The recommendation score may be obtained using one or more models which can include supervised and unsupervised learning as well as a combination of user information and transactions. In another embodiment, the system is introduced that can provide a total recommendation score and recommendation generated by an ensemble model whose input can include the one or more recommendation scores previously obtained.

Abstract: The present disclosure discloses a calibration method and system for medical imaging. The calibration method comprising: obtaining imaging data; dividing the imaging data into a plurality of patches; and calibrating the imaging data based on one or more target patches of the plurality of patches, wherein the one or more target patches is a part of the plurality of patches.

Abstract: The present disclosure relates to the technical field of video playback, and provides a multimedia information playback method and apparatus, an electronic device, and a computer readable storage medium. The method includes: during a process of an information flow being browsed, in response to that display time of a target information entry in the information flow on a display interface of the information flow reaches a first time threshold, displaying a preset prompt message on an upper layer of the target information entry, so as to prompt a user to input a corresponding gesture; and in response to that a preset gesture operation to the target information entry inputted by the user is detected, playing multimedia information corresponding to the target information entry.

Abstract: The present disclosure provides a display panel, a display device and a method for manufacturing a display panel. The display panel includes: a base, wherein the base includes a plurality of island regions and at least one perforated region, and the perforated region has an opening that penetrate through the base; and pixel units disposed in the island regions and an elastic filling layer disposed in each of the at least one perforated region.

Abstract: A method of training a speech synthesis method, a method of synthesizing a speech, a device and a storage medium are provided, which relate to a field of artificial intelligence technology, in particular to a field of speech synthesis technology. The specific implementation scheme includes: processing training data by using the speech synthesis model, so as to determine a content encoding sequence, a style encoding sequence, a timbre encoding vector, a noise environment vector and a target Mel spectrum sequence corresponding to the training data; determine a total loss value according to the content encoding sequence, the style encoding sequence, the timbre encoding vector, the noise environment vector and the target Mel spectrum sequence; and adjusting a parameter of the speech synthesis model according to the total loss value.

Abstract: Disclosed are a displaying substrate, a manufacturing method thereof, and a display panel.

Abstract: Disclosed are a preparation method thereof, a display panel, and a display device. The drive backboard comprises: a pixel circuit disposed on a base substrate; an anode disposed on a side of the pixel circuit facing away from the base substrate and electrically connected to the pixel circuit; and a first insulating layer disposed between the base substrate and the anode; the first insulating layer is provided with a groove surrounding the pixel circuit, the anode covers the first insulating layer, and an edge of the anode extends to an inner wall of the groove.

Abstract: A voice generating method and apparatus, an electronic device and a storage medium. The specific implementation solution includes: acquiring a text to be processed, and determining an associated text of the text to be processed; acquiring an associated prosodic feature of the associated text; determining an associated text feature of the associated text based on the text to be processed; determining a spectrum feature to be processed of the text to be processed based on the associated prosodic feature and the associated text feature; and generating a target voice corresponding to the text to be processed based on the spectrum feature to be processed.

Abstract: A method and an apparatus for converting a voice timbre, and a method for training a model. The solution includes: obtaining a target acoustic feature by encoding a sample audio using an encoding branch in a voice timbre conversion model; obtaining a target text feature by performing feature extraction on a real text sequence labeled by the sample audio; training the encoding branch based on a difference between the target acoustic feature and the target text feature; obtaining a first spectrum feature having an original timbre by decoding the target text feature using a decoding branch in the voice timbre conversion model based on the original timbre corresponding to the identification information carried in the sample audio; obtaining a second spectrum feature by performing spectrum feature extraction on the sample audio; and training the decoding branch based on a difference between the first spectrum feature and the second spectrum feature.