Abstract: The present disclosure relates to a ceramic tile decorated with dry particles to give a three-dimensional pattern and a manufacturing method thereof. The manufacturing method comprises the steps of A: glazing a surface of a green body with a ground coat; B: decorating a surface of the ground coat of the green body to form a pattern; C: drying the green body; D: embellishing the green body with dry particles; E: spraying a protective glaze on the surface of the green body; and F: firing the green body after the green body is sprayed with the protective glaze of step E to produce the ceramic tile decorated with dry particles. The manufacturing method can make the ceramic tile produced have a clear pattern, distinct layers, low glaze glossiness, a good non-slip effect, an obvious sense of dry particles, a strong three-dimensional effect, rich colors, and stable properties.

Abstract: The present disclosure discloses a text classification system based on feature selection and a method thereof in the technical field of natural language processing and short text classification, comprising: acquiring a text classification data set; dividing the text classification data set into a training text set and a test text set, and then pre-processing the training text set and the test text set; extracting feature entries from the pre-processed training text set through improved chi-square statistics to form feature subsets; using TF-IWF algorithm to give the weight to the extracted feature entries; based on the weighted feature entries, establishing a short text classification model based on a support vector machine; and classifying the pre-processed test text set by the short text classification model. The present disclosure solves the problem that the short text content is sparse to some extent, thereby improving the performance of short text classification.

Abstract: The present disclosure discloses a text classification system based on feature selection and a method thereof in the technical field of natural language processing and short text classification, comprising: acquiring a text classification data set; dividing the text classification data set into a training text set and a test text set, and then pre-processing the training text set and the test text set; extracting feature entries from the pre-processed training text set through improved chi-square statistics to form feature subsets; using TF-IWF algorithm to give the weight to the extracted feature entries; based on the weighted feature entries, establishing a short text classification model based on a support vector machine; and classifying the pre-processed test text set by the short text classification model. The present disclosure solves the problem that the short text content is sparse to some extent, thereby improving the performance of short text classification.

Abstract: A method for training a neural network, includes: training a super network to obtain a network parameter of the super network, wherein each network layer of the super network includes multiple candidate network sub-structures in parallel; for each network layer of the super network, selecting, from the multiple candidate network sub-structures, a candidate network sub-structure to be a target network sub-structure; constructing a sub-network based on target network sub-structures each selected in a respective network layer of the super network; and training the sub-network, by taking the network parameter inherited from the super network as an initial parameter of the sub-network, to obtain a network parameter of the sub-network.

Abstract: A search method for a neural network model structure, includes: generating an initial generation population of network model structure based on multi-objective optimization hyper parameters, as a current generation population of network model structure; performing selection and crossover on the current generation population of network model structure; generating a part of network model structure based on reinforcement learning mutation, and generating a remaining part of network model structure based on random mutation on the selected and crossed network model structure; generating a new population of network model structure based on the part of network model structure generated by reinforcement learning mutation and the remaining part of network model structure generated by random mutation; and searching a next generation population of network model structure based on the current generation population of network model structure and the new population of network model structure.

Abstract: In accordance with the purpose(s) of the present disclosure, as embodied and broadly described herein, the disclosure relates to a method for producing C4 olefins from acetylene using supported metal-based catalysts and metal-based promoters. The method is inexpensive, efficient, and environmentally sound. Additionally, the method is selective for C4 olefins and other value-added products based on changes to reaction parameters including temperature, feed gas composition, and promoter identity. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present disclosure.

Abstract: A method for certificate transaction validation of a blockchain-based resource public key infrastructure aims to avoid security threats caused by conflicts or illegal transactions during transactions and improve security. A technical solution is as follows: constructing a resource public key infrastructure RPKIB system composed of a resource issuer, a resource transaction application client, a resource receiver, a blockchain network and a validation node; designing operations of a resource certificate and route origin authorization ROA as transactions, submitting operations of various resource transactions initiated by a resource issuer as transactions to the blockchain network, running, by the validation node, a smart contract to verify the transactions, and distinguishing whether the operations are malicious behaviors or normal operations of an authority.

Abstract: The present disclosure relates to a ceramic tile decorated with dry particles to give a three-dimensional pattern and a manufacturing method thereof. The manufacturing method comprises the steps of A: glazing a surface of a green body with a ground coat; B: decorating a surface of the ground coat of the green body to form a pattern; C: drying the green body; D: embellishing the green body with dry particles; E: spraying a protective glaze on the surface of the green body; and F: firing the green body after the green body is sprayed with the protective glaze of step E to produce the ceramic tile decorated with dry particles. The manufacturing method can make the ceramic tile produced have a clear pattern, distinct layers, low glaze glossiness, a good non-slip effect, an obvious sense of dry particles, a strong three-dimensional effect, rich colors, and stable properties.

Abstract: The disclosure discloses a method for bidirectional authorization of a blockchain-based resource public key infrastructure, aiming at solving security threat problems that a legal BGP route is illegal and a legal IP address is blocked caused by malicious operations.

Abstract: A system and method for generating a pressure-volume curve for a hydraulic system in a vehicle. The system includes a plunger coupled to the hydraulic system, a pressure sensor configured to detect a pressure of the hydraulic system, and an electronic controller configured to access a prior pressure-volume curve from a memory, generate a signal to move the plunger, receive a pressure from the pressure sensor, generate a new pressure-volume curve based upon the received pressure and a position of the plunger, compare the new pressure-volume curve to the prior pressure-volume curve, in response to the new pressure-volume curve and the prior pressure-volume curve differing by at least a threshold value, replace the prior pressure-volume curve with the new pressure-volume curve in the memory, and actuating the hydraulic system based upon the stored pressure-volume curve.

Abstract: The disclosure disclosures a blockchain-based verifiable inter-domain routing validation method, which includes: constructing a blockchain-based verifiable inter-domain routing system consisting of a verifiable inter-domain routing and a routing behavior validation subsystem; constructing, by a sender router R1, a routing behavior validation terminal of an autonomous domain to which the R1 belongs, and the routing validation blockchain system, a routing evidence and a routing evidence validation proposal, validating and endorsing the proposal, determining whether the proposal satisfies an endorsement policy, generating a routing evidence transaction, conducting consensus ordering on the transaction and updating a routing validation blockchain; and constructing, by a receiver router T, a routing behavior validation terminal of an autonomous domain to which the T belongs, and the routing validation blockchain system, a routing request validation message and retrieving whether a routing evidence corresponding to

Abstract: In accordance with the purpose(s) of the present disclosure, as embodied and broadly described herein, the disclosure relates to a method for producing C4 olefins from acetylene using supported metal-based catalysts and metal-based promoters. The method is inexpensive, efficient, and environmentally sound. Additionally, the method is selective for C4 olefins and other value-added products based on changes to reaction parameters including temperature, feed gas composition, and promoter identity. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present disclosure.

Abstract: A system and method for generating a pressure-volume curve for a hydraulic system in a vehicle. The system includes a plunger coupled to the hydraulic system, a pressure sensor configured to detect a pressure of the hydraulic system, and an electronic controller configured to access a prior pressure-volume curve from a memory, generate a signal to move the plunger, receive a pressure from the pressure sensor, generate a new pressure-volume curve based upon the received pressure and a position of the plunger, compare the new pressure-volume curve to the prior pressure-volume curve, in response to the new pressure-volume curve and the prior pressure-volume curve differing by at least a threshold value, replace the prior pressure-volume curve with the new pressure-volume curve in the memory, and actuating the hydraulic system based upon the stored pressure-volume curve.

Abstract: The present disclosure provides aerostat display, which utilizes the aerial display by exploiting the visual residue of pointolites rotating around the outer surface of the aerostat on human eyes.

Abstract: The disclosure discloses a method for bidirectional authorization of a blockchain-based resource public key infrastructure, aiming at solving security threat problems that a legal BGP route is illegal and a legal IP address is blocked caused by malicious operations.

Abstract: The disclosure disclosures a blockchain-based verifiable inter-domain routing validation method, which includes: constructing a blockchain-based verifiable inter-domain routing system consisting of a verifiable inter-domain routing and a routing behavior validation subsystem; constructing, by a sender router R1, a routing behavior validation terminal of an autonomous domain to which the R1 belongs, and the routing validation blockchain system, a routing evidence and a routing evidence validation proposal, validating and endorsing the proposal, determining whether the proposal satisfies an endorsement policy, generating a routing evidence transaction, conducting consensus ordering on the transaction and updating a routing validation blockchain; and constructing, by a receiver router T, a routing behavior validation terminal of an autonomous domain to which the T belongs, and the routing validation blockchain system, a routing request validation message and retrieving whether a routing evidence corresponding to

Abstract: A method for certificate transaction validation of a blockchain-based resource public key infrastructure aims to avoid security threats caused by conflicts or illegal transactions during transactions and improve security. A technical solution is as follows: constructing a resource public key infrastructure RPKIB system composed of a resource issuer, a resource transaction application client, a resource receiver, a blockchain network and a validation node; designing operations of a resource certificate and route origin authorization ROA as transactions, submitting operations of various resource transactions initiated by a resource issuer as transactions to the blockchain network, running, by the validation node, a smart contract to verify the transactions, and distinguishing whether the operations are malicious behaviors or normal operations of an authority.

Abstract: A method for training a neural network, includes: training a super network to obtain a network parameter of the super network, wherein each network layer of the super network includes multiple candidate network sub-structures in parallel; for each network layer of the super network, selecting, from the multiple candidate network sub-structures, a candidate network sub-structure to be a target network sub-structure; constructing a sub-network based on target network sub-structures each selected in a respective network layer of the super network; and training the sub-network, by taking the network parameter inherited from the super network as an initial parameter of the sub-network, to obtain a network parameter of the sub-network.

Abstract: A search method for a neural network model structure, includes: generating an initial generation population of network model structure based on multi-objective optimization hyper parameters, as a current generation population of network model structure; performing selection and crossover on the current generation population of network model structure; generating a part of network model structure based on reinforcement learning mutation, and generating a remaining part of network model structure based on random mutation on the selected and crossed network model structure; generating a new population of network model structure based on the part of network model structure generated by reinforcement learning mutation and the remaining part of network model structure generated by random mutation; and searching a next generation population of network model structure based on the current generation population of network model structure and the new population of network model structure.

Abstract: A method for subnetwork sampling is applicable to a hypernetwork topoloyly. The hypernetwork topology includes n layers, each layer includes at least two substructures, and each substructure includes hatch normalization (BN) modules in one-to-one correspondence with the substructures of a closest upper layer, n>0 and n being a positive integer. The method includes: a substructure A(N) of an N-th layer is selected, 1>N?n; a selected substructure A(N-1) of an (N?1)-th layer is determined; a BN module C(B) in one-to-to correspondence with A(N-1) is determined from the substructure A(N); and the substructure A(N) is added into a subnetwork through the BN module C(B).