Abstract: A traffic anomaly detection method includes obtaining a target time series including N elements; obtaining a target parameter of the target time series, where the target parameter includes at least one of a periodic factor or a jitter density, the periodic factor represents a wave-shaped change that is presented in the target time series and that is about a long-term trend, and the jitter density represents a deviation between an actual value and a target value of the target time series within a target time; determining, from a plurality of types based on the target parameter, a first type to which the target time series belongs, where each of the types corresponds to one parameter set, and the target parameter belongs to a parameter set corresponding to the first type; and detecting an anomaly of the target time series based on a first-type decision model corresponding to the first type.

Abstract: Disclosed is a real-time intelligent monitoring system for long-distance curved pipe jacking, which includes a pipe jacking mechanism and a working platform, wherein the working platform includes a control console and a main jacking hydraulic oil cylinder, the control console is arranged at one side of the main jacking hydraulic oil cylinder and is electrically connected with the main jacking hydraulic oil cylinder, the pipe jacking mechanism includes a pipe jacking machine, a curved jacking pipe and a jacking pipe, an arcing assembly is arranged inside the curved jacking pipe, a soil settlement monitoring assembly is arranged at the top of the jacking pipe, and laser induction assemblies are arranged inside the pipe jacking machine, the curved jacking pipe and the jacking pipe correspondingly.

Abstract: A network device may receive an original configuration that includes configuration objects, and may generate, based on the original configuration, a dependency graph that includes nodes representing and entries representing the configuration objects. The network device may receive a configuration update that includes new configuration objects, and may update the dependency graph based on the configuration update and to generate an updated dependency graph that includes new nodes and/or new entries representing the new configuration objects. The network device may test the configuration update, based on the updated dependency graph, to determine whether the configuration update fails or succeeds. The network device may selectively implement the configuration update based on the configuration update succeeding or perform a rollback of the configuration update, based on the configuration update failing, to restore the original configuration.

Abstract: A method for implementing transmission performance detection includes: after successively receiving data packets whose sequence numbers are N1 and N2, determining, by a detection apparatus, that N2 is greater than N1 and that N1 and N2 are inconsecutive; after receiving the data packet whose sequence number is N2, receiving a data packet whose sequence number is M1; and when determining N1<M1<N2 and T2?T1>=RTT, determining that the data packet whose sequence number is M1 is a retransmitted packet corresponding to an upstream packet loss, where T1 is a time for receiving the data packet whose sequence number is N2, T2 is a time for receiving the data packet whose sequence number is M1.

Abstract: Provided is an inorganic solid waste-microbial composite curing agent and its preparation method and application. The inorganic solid waste-microbial composite curing agent consists of the following raw materials in parts by weight: steel slag, active magnesium oxide, recycled powder, stearic acid, borax, carbonic anhydrase bacteria, Bacillus subtilis, and soluble calcium salts. The preparation method includes performing granulation on steel slag, active magnesium oxide, recycled powder, stearic acid, borax, etc. into porous materials through dry rolling extrusion and compression, and loading carbonic anhydrase bacteria and Bacillus subtilis into the porous materials. By adding inorganic solid waste-microbial composite curing agent into the sludge and introducing CO2, the sludge is quickly solidified through the carbonization and microbial mineralization of inorganic solid waste.

Abstract: Provided is an inorganic solid waste-microbial composite curing agent and its preparation method and application. The inorganic solid waste-microbial composite curing agent consists of the following raw materials in parts by weight: steel slag, active magnesium oxide, recycled powder, stearic acid, borax, carbonic anhydrase bacteria, Bacillus subtilis, and soluble calcium salts. The preparation method includes performing granulation on steel slag, active magnesium oxide, recycled powder, stearic acid, borax, etc. into porous materials through dry rolling extrusion and compression, and loading carbonic anhydrase bacteria and Bacillus subtilis into the porous materials. By adding inorganic solid waste-microbial composite curing agent into the sludge and introducing CO2, the sludge is quickly solidified through the carbonization and microbial mineralization of inorganic solid waste.

Abstract: A fault detection method includes: obtaining a video quality parameter of a monitored video stream, where the video quality parameter is determined according to a packet loss recovery method of the monitored video stream, the video quality parameter includes an effective packet loss factor, and the effective packet loss factor is used to indicate effectiveness of network packet loss recovery performed by using the packet loss recovery method of the monitored video stream; and performing fault detection based on the video quality parameter of the monitored video stream.

Abstract: The present disclosure provides a method for gait recognition based on visible light, infrared radiation and structured light. According to the method, three types of raw image data are obtained from a visible light sensor, an infrared sensor, and a structured light sensor, then image processing and multi-sensor image fusion are improved to obtain a fused image, and gait recognition is performed based on the fused image. The method effectively improves the robustness of a recognition algorithm, and can realize accurate identification of individuals under various extreme conditions. The method has good adaptability and has a broad application prospect.

Abstract: The present disclosure discloses a method for improving the performance of concrete aggregates, comprising the following steps: (1) adding composite microbial powders, recycled aggregates and water into a stirring pot in a certain ratio to be continuously and uniformly stirred; (2) placing the recycled aggregate obtained in step (1) and another microbial powder in a vacuum device so as to fill the microbial powder into the cracks of the recycled aggregate in a negative-pressure environment; and (3) spraying a calcium source solution to the surface of the recycled aggregate obtained in step (2) at an interval of 5-6 hours for repeating 3-5 times to maintain the wet surface of the recycled aggregate.

Abstract: A federated learning method includes: each second device in a plurality of second devices first obtains data distribution information and sends the data distribution information to a first device. The first device receives the data distribution information from the plurality of second devices participating in federated learning. The first device selects a matched federated learning policy based on the data distribution information. The first device sends a parameter reporting policy corresponding to the federated learning to at least one second device in the plurality of second devices. A second device that receives the parameter reporting policy is configured to obtain second gain information based on the parameter reporting policy and a current training sample, and the second gain information is for obtaining a second model of the second device.

Abstract: A processor-implemented method is disclosed.

Abstract: The present disclosure discloses a method for improving the performance of concrete aggregates, comprising the following steps: (1) adding composite microbial powders, recycled aggregates and water into a stirring pot in a certain ratio to be continuously and uniformly stirred; (2) placing the recycled aggregate obtained in step (1) and another microbial powder in a vacuum device so as to fill the microbial powder into the cracks of the recycled aggregate in a negative-pressure environment; and (3) spraying a calcium source solution to the surface of the recycled aggregate obtained in step (2) at an interval of 5-6 hours for repeating 3-5 times to maintain the wet surface of the recycled aggregate.

Abstract: A method for providing a dynamic user interface for navigating user account data is disclosed. The method includes: performing a first data transfer from a user account; updating an interaction model for the user account based on the first data transfer; receiving, from a client device associated with the user account, a query having at least one query term; determining, based on the interaction model and the at least one query term, that the query maps to a user intent associated with the first data transfer; and in response to determining that the query maps to a user intent associated with the first data transfer, providing, to the client device, a search result based on the first data transfer.

Abstract: A sample data annotation system includes an edge node and a central node. The edge node obtains a key feature of sample data, determines, based on the key feature, whether the sample data is unknown sample data, when the sample data is unknown sample data, performs annotation processing on the sample data to obtain a first annotation result, and sends the first annotation result to the central node. The central node receives the first annotation result, and determines whether the first annotation result indicates successful annotation; and when the first annotation result indicates that the unknown sample data is successfully annotated, performs consistency processing on the first annotation result to obtain a second annotation result, or when the annotation result indicates that the unknown sample data fails to be annotated, performs annotation processing on the unknown sample data to obtain a third annotation result.

Abstract: A method, an apparatus, and a computing device for constructing a prediction model, and a storage medium are disclosed, and relate to the field of artificial intelligence technologies. The method includes: obtaining, based on a target dataset of a target prediction scenario and/or scenario information of the target prediction scenario, model search space corresponding to the target prediction scenario; performing model training based on the target dataset and models and hyperparameters that are included in the model search space, to obtain trained prediction models; and obtaining, based on evaluation results of the trained prediction models, a prediction model corresponding to the target prediction scenario. Efficiency of constructing the prediction model can be improved.

Abstract: A modeling method and an apparatus are disclosed. The method includes: obtaining a first data set of a first indicator, and determining, based on the first data set, a second indicator similar to the first indicator; and determining a first model based on one or more second models associated with the second indicator. The first model is used to detect a status of the first indicator, and the status of the first indicator includes an abnormal state or a normal state. The second models are used to detect a status of the second indicator, and the status of the second indicator includes an abnormal state or a normal state.

Abstract: In certain embodiments, a forwarding device receives at least one service flow. The forwarding device obtains service information of the at least one service flow, where the service information of the service flow includes identification information of a network object to which the service flow belongs and M key performance indicators KPIs of the service flow. M is an integer greater than o, and the network object includes one or more devices. The forwarding device sends detection information to a first device, where the detection information includes the service information of the at least one service flow or a feature set obtained based on the service information of the at least one service flow. The detection information is used to detect whether the network object is in a faulty state.

Abstract: A soil solidification material based on solid waste and bioenzyme, and a preparation method thereof are disclosed. The soil solidification material is composed of the following components in parts by weight: recycled aggregate 22-35 parts, steel slag 20-30 parts, high-calcium fly ash 16-24 parts, the bioenzyme 5-15 parts, an inorganic adsorbent 10-18 parts, an organic adsorbent 8-20 parts, industrial waste gypsum 25-35 parts, an activator 20-30 parts, sodium citrate 1-3 parts, and slaked lime 0.02-0.2 parts. The present disclosure adopts the recycled aggregate, the steel slag, the industrial waste gypsum and the high-calcium fly ash as the main components of the soil solidification material to reduce the cost. The soil solidification material of the present disclosure prepared by optimizing the proportion is capable of significantly improving the engineering properties of the soil or the mixed contaminated soil, and has significant economic and environmental benefits.

Abstract: A model update system, which may be applied to the network control field, includes a site analysis device and a first analysis device. The site analysis device is configured to: receive a first model sent by the first analysis device; train the first model by using a first training sample to obtain a second model, where the first training sample includes first feature data of a network device in a site network corresponding to the site analysis device; obtain differential data between the first model and the second model; and send the differential data to the first analysis device. The first analysis device is configured to: send the first model to the site analysis device; receive the differential data sent by the site analysis device; and update the first model based on the differential data to obtain a third model.

Abstract: Disclosed is a real-time intelligent monitoring system for long-distance curved pipe jacking, which includes a pipe jacking mechanism and a working platform, wherein the working platform includes a control console and a main jacking hydraulic oil cylinder, the control console is arranged at one side of the main jacking hydraulic oil cylinder and is electrically connected with the main jacking hydraulic oil cylinder, the pipe jacking mechanism includes a pipe jacking machine, a curved jacking pipe and a jacking pipe, an arcing assembly is arranged inside the curved jacking pipe, a soil settlement monitoring assembly is arranged at the top of the jacking pipe, and laser induction assemblies are arranged inside the pipe jacking machine, the curved jacking pipe and the jacking pipe correspondingly.