Abstract: A stair cleaning robot based on retractable rotational arms, including a cleaning robot body, wherein the cleaning robot body includes a machine body, a control system disposed at the top of the machine body, and a cleaning mechanism disposed at the bottom of the machine body; a first retractable rotational arm mechanism is disposed on the left side of the machine body, a second retractable rotational arm mechanism is disposed on the right side of the machine body, and the first retractable rotational arm mechanism and the second retractable rotational arm mechanism are disposed in a bilateral symmetry manner; the control system includes a control plate, a battery and a radar which are disposed on a control seat; a first reset sensor is disposed near the radar, and a second reset sensor is disposed near the control plate.

Abstract: The present disclosure discloses a measurement electrode and a wearable device. The measurement electrode includes a bottom layer, an electrode layer, and a pad. The bottom layer and the electrode layer are stacked. The pad is disposed between the bottom layer and the electrode layer, both an area of the electrode layer and an area of the bottom layer are greater than an area of the pad. The bottom layer and the electrode layer cover the pad. Through the above manner, the measurement electrode of the present disclosure can better conform to the skin and reduce motion artifacts.

Abstract: A motion monitoring method (500) is provided, which includes: obtaining a movement signal of a user during motion, wherein the movement signal includes at least an electromyographic signal or an attitude signal (510); and monitoring a movement of the user during motion based at least on feature information corresponding to the electromyographic signal or the feature information corresponding to the attitude signal (520).

Abstract: Example embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media for status notifications of access network for time sensitive communication. In example embodiments, a terminal device determines a target access device via which the terminal device communicates with a target gateway device. Further, the terminal device transmits, to a source gateway device with which the terminal device communicates via a source access device, a message indicating a handover from the source access device to the target access device. Moreover, the terminal device communicates with the target gateway device based on the same context associated with the terminal device as the source gateway device does.

Abstract: A multi-objective optimization method for structural parameters of a superconducting cable, comprising steps of: S1, obtaining structural parameters and performance parameters of the superconducting cable, setting a constraint range of the structural parameters of the superconducting cable, based on the structural parameters and performance parameters of the superconducting cable, constructing an objective function, to establish a multi-objective optimization model of the structural parameters of the superconducting cable; and S2, through an improved multi-objective grey wolf optimization algorithm, iteratively solving the multi-objective optimization model of the structural parameters of the superconducting cable, to obtain an optimal solution for each of the structural parameters of the superconducting cable; where, to an iteration coefficient in a multi-objective grey wolf optimization algorithm, a weight coefficient negatively correlated with an overall sensitivity index of each of the structural paramete

Abstract: Embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media of a wake up procedure for a hibernating cell. The method comprises determining whether configuration information for transmitting a wake up signal is received from a second device, the wake up signal used for waking up the second device in a hibernation mode; in accordance with a determination that the configuration information is missed, obtaining one or more reference parameters associated with the wake up signal; and transmitting the wake up signal to the second device based on the one or more reference parameters. In this way, a hibernating network could be waked up and provide service at any time when the UE requires the network service. The requirement for reducing power consumption of 5G site can be realized and meanwhile the service to be provided to the UE is not downgraded.

Abstract: Disclosed are a method for acquiring information. The method includes: acquiring a file to be processed and an information type; recognizing at least one piece of candidate information related to the information type from the file to be processed; determining a target recognition feature and a semantic feature of each piece of candidate information, the target recognition feature is configured to describe a matching condition between the each piece of candidate information and the information type; and determining target information from the at least one piece of candidate information based on the target recognition feature and the semantic feature.

Abstract: The embodiments of the present disclosure provide a signal processing circuit and a signal processing method. The signal processing circuit may include a control circuit, a switch circuit, an analog circuit, and at least two signal acquisition circuits. The at least two signal acquisition circuits may be configured to acquire at least two-channel target signals. The switch circuit may be configured to control conduction between the at least two signal acquisition circuits and the analog circuit, so that the target signal acquired by a part of the at least two signal acquisition circuits may be transmitted to the analog circuit at the same time. The analog circuit may be configured to process the received target signal. The control circuit may be configured to receive the processed target signal and sample the processed target signal.

Abstract: A system and method for monitoring an earth pressure and displacement of a miniature steel pipe pile body. Sensor installation holes are drilled at predetermined positions outside the steel pipe pile body and sensor metal protective shell with a thickness slightly lower than that of the XY-TY02A resistance-type miniature earth pressure gauge is welded on the steel pipe pile body. The XY-TY02A resistance-type miniature earth pressure gauges are stuck on the steel pipe pile body. The transmission line of the XY-TY02A resistance-type miniature earth pressure gauges passes through the sensor installation holes and are connected to data acquisition system. The reflective sheet base is welded at the preset position of the miniature steel pipe pile and the reflective sheet is attached to the reflective sheet base to realize displacement monitoring.

Abstract: The present invention provides an improved method and system for denoising high-frequency ultrasound based on a multipath matching pursuit algorithm. The method includes: acquiring a high-frequency ultrasound detection signal of a to-be-tested sample; constructing a discrete overcomplete dictionary according to the high-frequency ultrasound detection signal, and training the discrete overcomplete dictionary; reconstructing the high-frequency ultrasound detection signal by using a trained dictionary and using a multipath matching pursuit algorithm, and obtaining a global optimal atom; performing interpolation on the global optimal atom, and constructing a consecutive atomic library; and reconstructing the high-frequency ultrasound detection signal in the consecutive atomic library according to a parameter of the global optimal atom, to complete signal denoising.

Abstract: Provided is an array substrate. The array substrate includes a plurality of sub-pixels; wherein a storage capacitor and an extended storage capacitor are disposed in each of the plurality of sub-pixels, the extended storage capacitor and the storage capacitor being connected in parallel; and the array substrate includes a gate electrode layer, a source and drain electrode layer, and a pixel electrode.

Abstract: The present invention provides an improved method and system for denoising high-frequency ultrasound based on a multipath matching pursuit algorithm. The method includes: acquiring a high-frequency ultrasound detection signal of a to-be-tested sample; constructing a discrete overcomplete dictionary according to the high-frequency ultrasound detection signal, and training the discrete overcomplete dictionary; reconstructing the high-frequency ultrasound detection signal by using a trained dictionary and using a multipath matching pursuit algorithm, and obtaining a global optimal atom; performing interpolation on the global optimal atom, and constructing a consecutive atomic library; and reconstructing the high-frequency ultrasound detection signal in the consecutive atomic library according to a parameter of the global optimal atom, to complete signal denoising.

Abstract: Provide is a wearable device comprising at least two electrodes and a wearable structure. The at least two electrodes are configured to fit against the skin of a human body to collect an electrocardiogram (ECG) signal of the human body, and the wearable structure is configured to carry the at least two electrodes and fit the at least two electrodes to a waist region of the human body. The at least two electrodes are spaced apart on the wearable structure, and disposed on two sides of a mid-sagittal plane of the human body when the human body wears the wearable structure.

Abstract: The present disclosure provides a wearable device. The wearable device comprises at least two electrodes, configured to be attached to a human skin to collect an electrocardiograph (ECG) signal of a human body; a wearable structure, configured to carry the at least two electrodes and attach the at least two electrodes to two sides of a midsagittal plane of the human body; and a processor, configured to determine a heart rate variability (HRV) of the human body based on the ECG signal, and determine a physical state of the human body based at least on the HRV.

Abstract: Disclosed is a signal measuring device including: at least one electrode configured to contact with a human body to collect an electromyographic (EMG) signal of the human body in a target frequency range; an alternating current (AC) excitation source electrically connected to the at least one electrode, the AC excitation source being configured to provide an excitation signal at a first frequency to generate a detection signal reflecting a contact impedance between the at least one electrode and the human body; and a gain circuit configured to provide a gain for the EMG signal and the detection signal. In the present disclosure, by providing the gain circuit, gains are provided for the EMG signal and the detection signal collected so as to improve strengths and qualities of the EMG signal and the detection signal, and enable an accurate monitoring of the signal measuring device.

Abstract: The embodiments of the present disclosure disclose a signal measurement circuit and method. The signal measurement circuit include: a plurality of electrodes configured to be attached to a human body and collect physiological signals of the human body; a contact impedance detection circuit electrically connected with the plurality of electrodes, the contact impedance detection circuit being configured to measure a contact impedance between each of the plurality of electrodes and the human body; and a switching circuit configured to control a conduction state between the plurality of electrodes and the contact impedance detection circuit, such that only a portion of the plurality of electrodes are in the conduction state with the contact impedance detection circuit simultaneously.

Abstract: Embodiments of the present disclosure provide a signal acquisition system including a wearable body; a plurality of electrodes fixed on the wearable body and in contact with the skin of a user, and a processing circuit. The plurality of electrodes include a first electrode set and a second electrode set, and the first electrode set is configured to acquire a physiological signal and the second electrode set is configured to acquire a detection signal. The processing circuit configured to eliminate, based on the detection signal, motion artifacts in the physiological signal.

Abstract: Embodiments of the present disclosure disclose a signal measurement method and circuit, comprising: receiving a detection signal, the detection signal reflecting a difference between two contact impedances, each of which is a contact impedance between one of two electrodes and a human body, and the two electrodes being affixed to the human body and being configured to collect a physiological signal of the human body; and determining an indicator parameter value reflecting a quality of the physiological signal based on the detection signal. The signal measurement method and circuit provided in the present disclosure can detect the contact impedance between each of the two electrodes and the human body in real-time, and determine, based on the contact impedance, state between each of the two electrodes and the human body, and thus ensure that a physiological signal collected by the electrodes have a high quality.

Abstract: An electrocardio monitoring system and method are provided. The electrocardio monitoring system includes at least two sets of electrocardio channels and a processing circuit. Each of the at least two sets of electrocardio channels includes at least two electrodes, and each of the at least two sets of electrocardiographic channels is configured to collect signals from a human body through the at least two electrodes, respectively. The processing circuit is configured to extract the electrocardio signal from the signals collected by the at least two sets of electrocardiographic channels.

Abstract: The disclosure provides a sentence generation method based on a large language model including: obtaining a query sentence, in which the query sentence has at least one candidate description object; performing semantic recognition on the query sentence to obtain first semantic information and second semantic information corresponding to the query sentence, in which categories of the first semantic information and the second semantic information are different; inputting the at least one candidate description object and the first semantic information into the large model, to identify a target description object from the at least one candidate description object based on the large model; selecting target service data from at least one piece of service data corresponding to the target description object based on the second semantic information; and generating a reply sentence corresponding to the query sentence according to the target service data.