Abstract: A system and method for securely defensing against a collusion attack under Internet of Vehicles (IoV) are provided. The present disclosure can repair a vulnerability, of a reputation system in the IoV, that the IOC attackers can manipulate a traffic-related message aggregation model (TMAM) by increasing their own reputation scores in an inside-and-outside collusion (IOC) manner. In addition, the present disclosure can detect IOC attacks quickly to improve the security of the IoV; can eliminate suspicious providers recursively and provide a reputation fluctuation association rule, to avoid overload of the TMAM; and can deprive IOC attackers of the opportunity to improve their reputation scores and ensure credible information in the IoV, to ensure the fairness and availability of the TMAM without the interference from the IOC attackers.

Abstract: A system for generating and receiving a polarization multiplexed single sideband signal is provided, which includes a light wave generating unit connected with a signal modulating unit and configured to generate a light wave; a driving signal generating unit connected with the signal modulating unit and configured to generate a driving signal; the signal modulating unit configured to split the light wave into two orthogonal polarized light waves, and modulate the driving signal on the polarized light waves to obtain a polarization multiplexed upper sideband optical signal and a polarization multiplexed lower sideband optical signal which are coupled to output a mixed signal, the mixed signal is transmitted to a separating and converting unit to obtain electrical millimeter wave signals; the electrical millimeter wave signals are transmitted through an MIMO wireless link to a signal sampling and processing unit to be converted into digital signals for digital signal processing.

Abstract: The present disclosure is generally directed to lighting systems that enhance the distribution of light. As set forth herein, the disclosed embodiments can include a lighting device, such as a strip of light emitting diodes (LEDs) and an asymmetric total internal reflection (TIR) lens.

Abstract: Provided are a content search method, apparatus, and device, and a storage medium. The present disclosure enables: receiving a search content; and displaying a plurality of answer viewpoints and first contents in a search result interface, wherein each answer viewpoint corresponds to one category of search results, the search results are results obtained by searching the search content, the first contents comprises keywords, the keywords are used for indicating reasons for displaying a target answer viewpoint among the plurality of answer viewpoints, and the keywords are extracted from a target category of search results corresponding to the target answer viewpoint.

Abstract: A tuning method for a collimator of a CT machine, which, in each cycle of X-ray scan operation and stop, may include determining whether an X-ray is generated from the anode plate; calculating the Z-direction heating displacement of the slot plate during the current scan based on a detected X-ray, driving the slot plate to move by the heating displacement in the Z-direction, calculating the total Z-direction heating displacement of the slot plate at the end of the current scan, calculating the cooling displacement of the slot plate during the current stop based on the stop time of the X-ray, and driving the slot plate to move.

Abstract: Disclosed are an extruded honeycomb catalyst, a process for preparing the catalyst, a method for reducing NOx in the exhaust gas from an internal combustion engine by using the catalyst, and a method for treatment of the emission gas generated from power plant comprising exposing the emission gas to the catalyst.

Abstract: The present invention relates to a knowledge-graph extrapolating method and system based on multi-layer perception, the method comprising: using relational graph convolutional network encoders to learn embedding representations, and capturing dynamic evolution of a fact; designing emerging task processing units to construct multiple layers of entity sets, and assigning a matching historical relevance; classifying prediction tasks into different reasoning scenes, and connecting them to the corresponding processing unit for partition of entity sets; and using a multi-class task solving method to acquire predicted probability distributions of target entities, and taking the highest one as a prediction answer, so as to accomplish extrapolation of a temporal knowledge graph, wherein the prediction tasks are classified into different reasoning scenes according to whether it contains any entity or relation that has never appeared historically.

Abstract: The present disclosure discloses a distributed consensus algorithm and apparatus for rapidly generating a block. The algorithm includes: broadcasting a new transaction to all nodes (S110); collecting, by each of the nodes, the new transaction into a block (S120); evaluating a trust value of each of the nodes to obtain an evaluation result (S130); selecting honest miners according to the evaluation result (S140); obtaining negotiation rules (S150); creating, by the honest miners, a new block according to the negotiation rules, and broadcasting the new block to all the nodes (S160); and when all transactions in the nodes are valid but do not take effect, receiving the new block and adding the new block to a blockchain (S170).

Abstract: The present disclosure provides a photonics-aided vector terahertz signal communication system. The system includes an optical frequency comb generation module, a vector terahertz signal generation module, an optical fiber transmission module, a vector terahertz signal detection module, and a vector terahertz signal emission module that are sequentially connected, where the vector terahertz signal generation module includes a first binary sequence generator, a first electronic amplifier, and a first intensity modulator that are sequentially connected, the first binary sequence generator generates binary data representing to-be-transmitted data, the first intensity modulator performs, based on the binary data, amplitude modulation on an optical frequency comb entering the first intensity modulator, and an optical signal obtained after the modulation of the first intensity modulator is a vector terahertz signal carrying the to-be-transmitted data.

Abstract: Disclosed herein are catalyst compositions for removing formaldehyde, volatile organic compounds, and other pollutants from an air flow stream. In one embodiment, a catalyst composition comprises manganese oxide particles and rare earth metal catalyst particles.

Abstract: An automatic locking device for assembling a part to a workpiece is provided. The device includes a feeding mechanism, a fixture mechanism, a loading and unloading mechanism, a lifting mechanism, a rotating mechanism, and a locking mechanism. The feeding mechanism feeds the part to the fixture mechanism. The loading and unloading mechanism places the workpiece on the part. The lifting mechanism lifts up the fixture mechanism together with the part and the workpiece. The rotating mechanism rotates the fixture mechanism. The locking mechanism locks the part to the workpiece after the part and the workpiece are rotated by the rotating mechanism. The automatic locking device integrates multiple functions in a single station, reduces the number of the work stations and operatives, lowers the cost, and improves accuracy of the assembly. An assembling apparatus including the automatic locking device is also provided.

Abstract: The present invention relates to a method for temporal knowledge graph reasoning based on distributed attention, comprising: recombining a temporal knowledge graph in a temporal serialization manner, accurately expressing the structural dependencies between time-evolution features and temporal subgraphs, and then extracting historical repetition facts and historical frequency information based on the sparse matrix storing historical subgraph information; assigning, by the query fact, initial first-layer attention to the facts that are historically repeated using an attention mechanism, and then by capturing the latest changes in the historical frequency information, assigning attention reward and punishment of the second-layer attention to the scores of the first-layer attention, respectively, to make attention more adaptable to time-varying features; finally, using the scores of the two layers of attention to make reasoning-based prediction about future events.

Abstract: An optical construction (100) includes a lightguide (102), a transmissive reflector (112), and an optical sensor (114). The lightguide (102) includes a first major surface (104) and a second major surface (106) opposite to the first major surface (104). The first major surface (104) includes a first portion (108) and an adjoining second portion (110). The transmissive reflector (112) is disposed adjacent to the first major surface (104) of the lightguide (102). The optical sensor (114) is disposed adjacent to the transmissive reflector (112) opposite to the lightguide (102). The optical sensor (114) is aligned with the first portion (108) of the first major surface (104) of the lightguide (102), such that the optical sensor (114) receives at least a portion of light passing through the first portion (108) of the first major surface (104) and transmitted by the transmissive reflector (112).

Abstract: The present invention relates to an interference-based method for knowledge graph completion and system thereof, wherein the method at least comprises: when performing sampling on a knowledge graph, constructing a knowledge graph completion model; performing model training and performance evaluation on the knowledge graph completion model; and performing prediction on missing elements of incomplete triples in the knowledge graph; the knowledge graph completion model is constructed through: based on optical interference and superposition principles, constructing a score function from data of superposed luminous intensities, mirroring the triples in the knowledge graph to a process of superposition of the luminous intensities, and differentiating between positives and negatives obtained during the sampling of the knowledge graph.

Abstract: The present invention relates to knowledge graph reasoning model, system and reasoning method based on Bayesian few-shot learning, wherein the method at least comprises: building a Gaussian mixture model to entities and relations in a knowledge graph so as to reduce uncertainty of the knowledge graph; taking each said entity as a task to simulate a meta-training process of a newly appearing entity in the dynamic knowledge graph and perform task sampling; constructing a meta learner based on a graph neural network and conducing random reasoning; and training the meta learner so as to use a support set to represent the newly appearing entity. The trained knowledge graph reasoning model in the present invention is highly adaptive and able to infer new facts or new entities without retraining.

Abstract: The present invention relates to a relation-enhancement knowledge graph embedding method and system, wherein the method at least comprises: performing collaborative coordinate-transformation on entities in the knowledge graph; performing relation core enhancement by means of relation-entropy weighting, so as to endow entity vectors with strong relation property; building an interpretability mechanism for a knowledge graph embedding model, and accounting for effectiveness and feasibility of the relation enhancement by proving convergence of the knowledge graph embedding model; and using a dynamic parameter-adjusting strategy to perform learn representation learning of to the vectors in the knowledge graph, and configuring deviation control to ensure accurate embedding.

Abstract: The present disclosure provides a pre-equalization compensation method and device for a link, a storage medium and an electronic device. The method includes: in response to that an Active Antenna Unit (AAU) is powered on, parsing a prestored off-line compensation table to obtain first non-flatness equalization coefficients of an RF link with a plurality of sub-carriers and second non-flatness equalization coefficients of a wave control link with the plurality of sub-carriers, with each one of the plurality of sub-carriers corresponding to one of the first non-flatness equalization coefficients and one of the second non-flatness equalization coefficients; combining the first non-flatness equalization coefficients of the plurality of sub-carriers and the second non-flatness equalization coefficients of the plurality of sub-carriers to obtain a combined carrier non-flatness coefficient; and performing equalization compensation on the link according to the combined carrier non-flatness coefficient.

Abstract: A method for production of vanadium catalysts, including steps of 1) providing a mixture comprising a TiO2-based support and a composite oxide containing vanadium and antimony; 2) preparing a slurry containing the mixture obtained from step 1), and additive comprising at least one species selected from the group consisting of Si, Al, Zr, Ti, W and Mo, and a solvent; and 3) applying the slurry onto a substrate or processing the slurry into shaped bodies. The vanadium catalysts obtained/obtainable from the method, and use thereof for abatement of nitrogen oxides (NOx).

Abstract: The present invention relates to a relation-enhancement knowledge graph embedding method and system, wherein the method at least comprises: performing collaborative coordinate-transformation on entities in the knowledge graph; performing relation core enhancement by means of relation-entropy weighting, so as to endow entity vectors with strong relation property; building an interpretability mechanism for a knowledge graph embedding model, and accounting for effectiveness and feasibility of the relation enhancement by proving convergence of the knowledge graph embedding model; and using a dynamic parameter-adjusting strategy to perform learn representation learning of to the vectors in the knowledge graph, and configuring deviation control to ensure accurate embedding.

Abstract: Compositions and methods for the treatment of COVID-19 in a subject infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The methods may include, among other embodiments, administering to the subject a therapeutically effective amount of a composition or formulation comprising nobiletin or salt, solvate, or prodrug thereof.