Abstract: A data processing method based on a memristor array and an electronic apparatus are disclosed. The data processing method based on a memristor array includes: acquiring a plurality of first analog signals; setting the memristor array, and writing data corresponding to a convolution parameter matrix of a convolution processing into the memristor array; inputting the plurality of first analog signals respectively into a plurality of column signal input terminals of the memristor array that has been set, controlling operation of the memristor array to perform the convolution processing on the plurality of first analog signals, and obtaining a plurality of second analog signals after performing the convolution processing at a plurality of row signal output terminals of the memristor array, respectively.

Abstract: A method for treating a tumor or cancer by means of a treatment scheme of using endostatin in combination with induction of DNA double-strand breaks, and a medication. The method and composition are used for treating a tumor or cancer related to loss of p53 function, or a tumor or cancer occurring when p53 function is normal.

Abstract: A cloud data center tenant-level outbound rate limiting method includes: starting a timer, receiving and generating statistics of outbound packets of tenants in a current period, obtaining local traffic rate information of the tenants based on all the outbound packets of the tenants in the current period, and generating local bandwidth demand frames of the tenants based on the local traffic rate information of the tenants; when a timing of the timer reaches the end of the current period, sending the local bandwidth demand frames of the tenants to a switch; receiving a global bandwidth demand frame sent by the switch, and computing bandwidth budgets of the tenants based on the local traffic rate information of the tenants and the global bandwidth demand frames of the tenants; modifying rate limiting parameters, and limiting the rate of the outbound packets of the tenants in a next period.

Abstract: Embodiments of the present disclosure provide a cone-rod dual-modality neuromorphic vision sensor, including: a first preset quantity of voltage-mode active pixel sensor (APS) circuits and a second preset quantity of current-mode APS circuits, where each of the voltage-mode APS circuits includes a first-type photosensitive device, and each of the current-mode APS circuits includes a second-type photosensitive device. The voltage-mode APS can output a target voltage signal representing light intensity information in a target light signal. The obtained target voltage signal represents the light intensity information with a higher precision, and therefore an image with higher quality can be obtained, that is, the image has a higher signal-noise ratio.

Abstract: The application provides a method, device, electronic device for vehicle cooperative decision-making as well as a computer storage medium. The method for vehicle cooperative decision-making applied at a cloud server includes: receiving a cooperative decision request sent by a roadside device, wherein the cooperative decision request is a request sent by the roadside device after it is recognized that a road is congested based on acquired real-time road information; acquiring information of a road scene included in the cooperative decision request; determining a congestion scene type based on the information of the road scene; calculating multi-vehicle oriented decision planning schemes using a preset scene cooperative decision model based on the congestion scene type; and sending the decision planning schemes to respective vehicles, so that the vehicles perform respective driving operations according to the decision planning schemes.

Abstract: A photographing apparatus and an inspection device are provided. The photographing apparatus comprises a camera, a light supplementing structure, and a closed housing; the camera is provided with a lens, and positioned in and connected to the housing; the housing is provided with at least one photographing portion configured to be attached to an object to be photographed, and a space is formed between the lens and the photographing portion; the light supplementing structure is positioned in and connected to the housing, the light supplementing structure is configured to emit light to said object through the space and the photographing portion, and the lens is configured to capture an image of said object via the photographing portion. The inspection device comprises a rack and the photographing apparatus, and the housing is connected to the rack.

Abstract: The present invention provides a virtual keyboard for inputting Chinese characters and a configuring method thereof, an input method, and a Chinese character input system. The configuring method includes the following steps: setting a geometric layout of the virtual keyboard; and setting initials and finals on available keys of the virtual keyboard respectively using a cost function-based search algorithm so as to obtain an optimal layout of initial keys and final keys, wherein the initial keys and the final keys in the optimal layout are set based on a minimum cost function value for spelling all Chinese syllables, and the minimum cost function value is a minimum sum of weighted distances of the initial keys and the final keys for all the Chinese syllables.

Abstract: The invention proposes an automatic throat swab sampling system, which comprises an automatic to-be-tested person identity information checking and collection prompting unit, a to-be-tested person head positioning unit, a navigation positioning unit which enters the oral cavity of a to-be-detected person along with the tail end of the sample collection execution unit for collecting a throat image and determining depth information between a depth sensor and the throat of the to-be-detected person, a sample collection execution unit including a three-degree-of-freedom guide rail type device and a one-degree-of-freedom end execution mechanism, an automatic throat swab loading and unloading unit and a remote monitoring unit which are arranged on a working platform.

Abstract: A method for diagnosing degradation of a fuel cell stack, including: S10, qualitatively determining a degradation type of the fuel cell stack according to a voltage-current curve of the fuel cell stack; S20, quantitatively measuring parameter values of each of individual cells of the fuel cell stack according to the degradation type, and quantitatively determining a degradation degree of each of the individual cells according to the parameter values; S30, determining a uniformity degradation degree among the individual cells of the fuel cell stack according to a non-uniformity degree of a voltage distribution of the individual cells. By qualitatively determining the degradation type of the fuel cell stack, the degradation condition of the entire fuel cell stack may be obtained.

Abstract: A pressure-driven solar photovoltaic panel automatic tracking device includes a photovoltaic panel, a rotating shaft, a rotating wheel, a transmission component, a first counterweight, a second counterweight, a bellow tube, and a gas supply mechanism; the photovoltaic panel is fixed to the rotating shaft, the rotating wheel is fixed to the rotating shaft, the rotating wheel is provided with the transmission component, and both ends of the transmission component are respectively connected to the first counterweight and the second counterweight; the first counterweight is connected to the bellow tube, and the bellow tube is connected to the gas supply mechanism; and the bellow tube is expanded and contracted by controlling the gas supply mechanism, so that the first counterweight moves in the vertical direction, thereby driving the rotating wheel to rotate, so as to realize the automatic tracking of the sunlight by the photovoltaic panel.

Abstract: Provided is a method for a dynamic state estimation of a natural gas network considering dynamic characteristics of natural gas pipelines. The method can obtain a result of the dynamic state estimation of the natural gas network by establishing an objective function of the dynamic state estimation of the natural gas network, a state quantity constraint of a compressor, a state quantity constraint of the natural gas pipeline and a topological constraint of the natural gas network, and using a Lagrange method or an interior point method to solve a state estimation model of the natural gas network. The method takes the topological constraint of the natural gas network into consideration, and employs a pipeline pressure constraint in a frequency domain to implement linearization of the pipeline pressure constraint, thereby obtain a real-time, reliable, consistent and complete dynamic operating state of the natural gas network.

Abstract: The present disclosure provides a stability criterion for time-delay of cyber-physical power systems under distributed control, which relates to a field of cyber-physical power systems technologies.

Abstract: A torsion balance is provided which includes a twisting wire and a reflector. The twisting wire is a suspended carbon nanotube. The reflector is hung on the twisting wire. The reflector further includes a film, a first reflecting layer, and a second reflecting layer; and the film includes a first surface and a second surface opposite to the first surface, and the first reflecting layer is located on the first surface and the second reflecting layer is located on the second surface.

Abstract: The disclosure provides a method for monitoring a short-term voltage stability of a power system. The method includes: obtaining a topology and time series of a current power system; inputting the topology and the time series of the current power system into a trained spatial-temporal graph network model, the trained spatial-temporal graph network model being obtained by classification learning on a spatial-temporal graph network model based on a simulation sample dataset; outputting a status of the short-term voltage stability of the power system; and sending an alarm signal in response to outputting an unstable status of the short-term voltage stability of the power system.

Abstract: The present disclosure relates to the technical field of energy and power, in particular to an ejector with a core needle cooled by cooling medium. In the ejector with a core needle cooled by cooling medium, a cooling section is arranged between a stepping motor and a nozzle; the stepping motor, the cooling section and the nozzle are arranged coaxially, a partition plate and a sealing element are used to isolate the cooling medium from the primary flow medium, and the cooling medium is introduced into the cooling section to effectively cool the core needle therein, without affecting the adjustment function of the core needle for an area of the nozzle throat, so as to effectively improve the performance of the ejector. As the core needle is cooled, the adjustable ejector can be used in the primary flow fields with high temperature.

Abstract: A thin film transistor includes a gate electrode, a gate insulating layer, a carbon nanotube structure, a source electrode and a drain electrode. The gate insulating layer is located on the gate electrode. The carbon nanotube structure is located on the gate insulating layer. The source electrode and the drain electrode are arranged at intervals and electrically connected to the carbon nanotube structure respectively. The thin film transistor further includes an interface charge layer, and the interface charge layer is located between the carbon nanotube structure and the gate insulating layer.

Abstract: A method for detecting image information includes: acquiring at least one sample of image pair to be processed; calculating a reconstruction loss function of the second feature extraction model based on the first image samples and the first reconstructed image feature information; calculating an adversarial loss function of the third feature extraction model based on the second reconstructed image feature information and the first image samples; optimizing the first model parameters in the first feature extraction model based on the reconstruction and the adversarial loss function to generate the optimized first feature extraction model; inputting the acquired image pair to be processed into the optimized first feature extraction model to generate the difference information. The method reduces the first feature extraction model's dependence on the labeled data and improves the model's recognition efficiency and accuracy by using the samples without the labeled difference information.

Abstract: An embodiment of the present disclosure discloses a wireless charging device comprising a wireless receiving module, a controller, a first charging module, and a second charging module. The wireless receiving module is configured to receive a wireless charging signal in response to the wireless charging device being in a wireless sensing area, transmit a state indication signal to the controller, receive a charging indication signal from the controller, and determine whether to transmit the wireless charging signal to the first charging module according to the charging indication signal.

Abstract: The present disclosure provides a method for planning a distribution network with reliability constraints based on a feeder corridor, including determining installation states of respective elements in the distribution network; determining an objective function, the objective function being an objective function of minimizing a total investment cost of the distribution network; obtaining fault-isolation-and-load-transfer time and fault recovery time in a case where the feeder segment of each feeder line that is contained in each feeder corridor fails; determining constraint conditions including reliability constraints; building a distribution network planning model according to the objective function and the constraints; and solving the distribution network planning model built to obtain optimal solutions as planning states and reliability indexes to plan the distribution network.

Abstract: Disclosed is a self-propelled soft robot body, including a tube which is internally and axially provided with a tube cavity, and at least one propelling structure, comprising a first driving unit, a second driving unit and a third driving unit, which are evenly fixed on a peripheral wall of the tube cavity, relative to an axis thereof, and along the axis of the tube; and the first driving unit, the second driving unit and the third driving unit are respectively telescopic along the axis of the tube; at least two support structures, with each two adjacent support structures having at least one propelling structure arranged therebetween, the support structures are fixedly connected with the propelling structure and arranged on the peripheral wall of the tube cavity.