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: 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: 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: 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: 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 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 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 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: 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: 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: 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.

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: Provided are a three-dimensional reconstruction method, apparatus and system of a dynamic scene, a server and a medium. The method includes: acquiring multiple continuous depth image sequences of the dynamic scene, where the multiple continuous depth image sequences are captured by an array of drones equipped with depth cameras; fusing the multiple continuous depth image sequences to establish a three-dimensional reconstruction model of the dynamic scene; obtaining target observation points of the array of drones through calculation according to the three-dimensional reconstruction model and current poses of the array of drones; and instructing the array of drones to move to the target observation points to capture, and updating the three-dimensional reconstruction model according to multiple continuous depth image sequences captured by the array of drones at the target observation points.

Abstract: The disclosure provides a collaborative deep learning method and a collaborative deep learning apparatus. The method includes: sending an instruction for downloading a global model to a plurality of user terminals; receiving a set of changes from each user terminal; storing the set of changes; recording a hash value of the set of changes into a blockchain; obtaining a storage transaction number from the blockchain for the hash value of the set of changes; sending the set of changes and the storage transaction number to the plurality of user terminals; receiving the set of target user terminals from the blockchain; updating the current parameters of the global model based on sets of changes corresponding to the set of target user terminals; and returning the sending the instruction, to update the global model until the global model meets a preset condition.

Abstract: The present disclosure relates to a copolymer A, which has (i) at least one repeating unit carrying an amide group and a carboxyl and/or its ammonium salt, (ii) at least one repeating unit derived from linear or branched C2-C18 ?-monoolefin, and (iii) at least one repeating unit derived from a monomer having at least two carbon-carbon unsaturated double bonds. The present disclosure also relates to an article comprising a component formed from the adhesive of the present invention.

Abstract: A method for making a field effect transistor includes providing a graphene nanoribbon composite structure. The graphene nanoribbon composite structure includes a substrate and a plurality of graphene nanoribbons spaced apart from each other. The substrate includes a plurality of protrusions spaced apart from each other, and one of the plurality of graphene nanoribbons is on the substrate and between two adjacent protrusions. An interdigital electrode is placed on the graphene nanoribbon composite structure, and the interdigital electrode covers the plurality of protrusions and is electrically connected to the plurality of graphene nanoribbons.

Abstract: A method of making photolithography mask plate is provided. The method includes: providing a carbon nanotube layer on a substrate; depositing a chrome layer on the carbon nanotube layer, wherein the chrome layer includes a first patterned chrome layer and a second patterned chrome layer, the first patterned chrome layer is located on the carbon nanotube layer, and the second patterned chrome layer is deposited on the substrate corresponding to holes of the carbon nanotube layer; transferring the carbon nanotube layer with the first patterned chrome layer thereon from the substrate to a base, and the carbon nanotube layer being in contact with the base; and depositing a cover layer on the first patterned chrome layer.

Abstract: A method of making photolithography mask plate is provided. The method includes: providing a carbon nanotube composite structure, wherein the carbon nanotube composite structure comprises a carbon nanotube layer and a chrome layer coated on the carbon nanotube layer; locating the carbon nanotube composite structure on a substrate to expose partial surfaces of the substrate; and depositing a cover layer on the carbon nanotube composite structure.