Abstract: Embodiments of the present specification disclose a resource sharing method, apparatus, and device, where the method includes: obtaining, by a first blockchain node, a resource from a second blockchain node; performing, by the first blockchain node, a sharing operation to share the resource with one or more user terminals; generating, by the first blockchain node, sharing information related to the sharing operation; and broadcasting, by the first blockchain node, the sharing information to a blockchain network associated with the first blockchain node and the second blockchain node.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for toll fee charging. One of the computer-implemented methods includes obtaining information of a vehicle traveling on a toll road, where the vehicle is associated with a user account on a payment platform. For the vehicle and to a blockchain, recording a travel history by using a blockchain node corresponding to the tolling system in a blockchain network, where the travel history comprises a distance the vehicle is driven on the toll road. In response to determining that the distance the vehicle is driven reaches a predetermined distance, charging a toll fee using the payment platform.

Abstract: A computer-implemented method for simultaneous metric learning and variable selection in non-linear regression is presented. The computer-implemented method includes introducing a dataset and a target variable, creating a univariate neighborhood probability map for each reference point of the dataset, and determining a pairwise distance between each reference point and other points within the dataset. The computer-implemented method further includes computing a Hessian matrix of a quadratic programming (QP) problem, performing optimization of the QP problem, re-weighing data derived from the optimization of the QP problem, and performing non-linear regression on the re-weighed data.

Abstract: One or more implementations of the present specification provide a parking charging method, apparatus, and electronic device, applied to a parking charging system. The method includes the following: obtaining vehicle information of a parked vehicle in a parking space, where the vehicle information has a corresponding user account on a payment platform; publishing a vehicle parking record to a blockchain network by using a first blockchain node corresponding to the parking charging system in the blockchain network, where the vehicle parking record includes parking duration of the parked vehicle in the parking space; and performing an asset transfer operation related to the payment platform based on the vehicle parking record each time the parking duration reaches first predetermined duration, so as to charge an asset corresponding to the first predetermined duration.

Abstract: A method for processing a consensus request in a computer network comprises: determining a pending request set, the pending request set including one or more pending consensus requests; determining a number of subsets that are in a consensus stage, wherein the subsets comprise the pending consensus requests that are obtained from the pending request set; and when the number of subsets that are in the consensus stage is less than a preset concurrent number of the computer network, issuing a consensus proposal for a new subset to the computer network to cause the new subset to enter the consensus stage to process the pending consensus requests, wherein the preset concurrent number is an upper limit of the number of subsets that are permitted to be simultaneously in the consensus stage in the computer network.

Abstract: Parking lots can provide parking services to users for fees, and the user needs to pay a corresponding amount of fees to the parking lot based on parking duration of a vehicle in a parking environment. Parking information of a vehicle in a parking environment can be detected by using an IoT device associated with the parking fee collection system; parking fee payment information of the vehicle is determined when the parking information indicates that the vehicle exits the parking environment; and when the parking fee payment information indicates that fee payment for the vehicle is uncompleted, an overdue fee record related to the vehicle is published to a blockchain network by using a first blockchain node corresponding to the parking fee collection system in the blockchain network.

Abstract: Systems and methods are disclosed for parsing logs from arbitrary or unknown systems or applications by capturing heterogeneous logs from the arbitrary or unknown systems or applications; generating one pattern for every unique log message; building a pattern hierarchy tree by grouping patterns based on similarity metrics, and for every group it generates one pattern by combing all constituting patterns of that group; and selecting a set of patterns from the pattern hierarchy tree.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for charging toll fees. One of the computer-implemented methods includes obtaining information of a vehicle traveling on a road, where the vehicle is associated with a user account on a payment platform. In response to determining that a distance the vehicle is driven on the road reaches a predetermined distance, initiating a toll fee charging request for the vehicle to the payment platform to charge a toll fee corresponding to the predetermined distance.

Abstract: A method for processing a consensus request in a computer network comprises: determining a pending request set, the pending request set including one or more pending consensus requests; determining a number of subsets that are in a consensus stage, wherein the subsets comprise the pending consensus requests that are obtained from the pending request set; and when the number of subsets that are in the consensus stage is less than a preset concurrent number of the computer network, issuing a consensus proposal for a new subset to the computer network to cause the new subset to enter the consensus stage to process the pending consensus requests, wherein the preset concurrent number is an upper limit of the number of subsets that are permitted to be simultaneously in the consensus stage in the computer network.

Abstract: Systems and methods for time series prediction are described. The systems and methods include encoding driving series into encoded hidden states, the encoding including adaptively prioritizing driving series at each timestamp using input attention, the driving series including data sequences collected from sensors. The systems and methods further includes decoding the encoded hidden states to generate a predicting model, the decoding including adaptively prioritizing encoded hidden states using temporal attention. The systems and methods further include generating predictions of future events using the predicting model based on the data sequences. The systems and methods further include generating signals for initiating an action to devices based on the predictions.

Abstract: A heterogeneous log pattern editing recommendation system and computer-implemented method are provided. The system has a processor configured to identify, from heterogeneous logs, patterns including variable fields and constant fields. The processor is also configured to extract a category feature, a cardinality feature, and a before-after n-gram feature by tokenizing the variable fields in the identified patterns. The processor is additionally configured to generate target similarity scores between target fields to be potentially edited and other fields from among the variable fields in the heterogeneous logs using pattern editing operations based on the extracted category feature, the extracted cardinality feature, and the extracted before-after n-gram feature. The processor is further configured to recommend, to a user, log pattern edits for at least one of the target fields based on the target similarity scores between the target fields in the heterogeneous logs.

Abstract: A computer-implemented method for automatically analyzing log contents received via a network and detecting content-level anomalies is presented. The computer-implemented method includes building a statistical model based on contents of a set of training logs and detecting, based on the set of training logs, content-level anomalies for a set of testing logs. The method further includes maintaining an index and metadata, generating attributes for fields, editing model capability to incorporate user domain knowledge, detecting anomalies using field attributes, and improving anomaly quality by using user feedback.

Abstract: Embodiments of the present specification disclose a resource sharing method, apparatus, and device, where the method includes: obtaining, by a first blockchain node, a resource from a second blockchain node; performing, by the first blockchain node, a sharing operation to share the resource with one or more user terminals; generating, by the first blockchain node, sharing information related to the sharing operation; and broadcasting, by the first blockchain node, the sharing information to a blockchain network associated with the first blockchain node and the second blockchain node.

Abstract: Systems and methods for anomaly detection in complex physical systems, including extracting features representative of a temporal evolution of the complex physical system, and analyzing the extracted features by deriving vector trajectories using sliding window segmentation of time series, applying a linear test to determine whether the vector trajectories are linear, and performing subspace decomposition on the vector trajectory based on the linear test. A system evolution model is generated from an ensemble of models, and a fitness score is determined by analyzing different data properties of the system based on specific data dependency relationships. An alarm is generated if the fitness score exceeds a predetermined number of threshold violations for the different data properties.

Abstract: A system and method are provided for identifying security risks in a computer system. The system includes an event stream generator configured to collect system event data from the computer system. The system further includes a query device configured to receive query requests that specify parameters of a query. Each query request includes at least one anomaly model. The query request and the anomaly model are included in a first syntax in which a system event is expressed as {subject-operation-object}. The system further includes a detection device configured to receive at least one query request from the query device and continuously compare the system event data to the anomaly models of the query requests to detect a system event that poses a security risk. The system also includes a reporting device configured to generate an alert for system events that pose a security risk detected by the detection device.

Abstract: A method for processing a consensus request in a computer network comprises: determining a pending request set, the pending request set including one or more pending consensus requests; determining a number of subsets that are in a consensus stage, wherein the subsets comprise the pending consensus requests that are obtained from the pending request set; and when the number of subsets that are in the consensus stage is less than a preset concurrent number of the computer network, issuing a consensus proposal for a new subset to the computer network to cause the new subset to enter the consensus stage to process the pending consensus requests, wherein the preset concurrent number is an upper limit of the number of subsets that are permitted to be simultaneously in the consensus stage in the computer network.

Abstract: Methods for querying a database and database systems include optimizing a database query for parallel execution using spatial and temporal information relating to elements in the database, the optimized database query being split into sub-queries with sub-queries being divided spatially according to host and temporally according to time window. The sub-queries are executed in parallel. The results of the database query are outputted progressively.

Abstract: Systems and a method are provided. A system includes a Temporal Behavior Query Language (TBQL) server having a processor and a memory operably coupled to the processor. The TBQL server configured to construct a TBQL query using a grammar inference technique based on syntactic sugar to expedite query construction. The TBQL server is further configured to execute the TBQL query to generate TBQL query results.

Abstract: Automated security systems and methods include a set monitored systems, each having one or more corresponding monitors configured to record system state information. A progressive software behavioral query language (PROBEQL) database is configured to store the system state information from the monitored systems. A query optimizing module is configured to optimize a database query for parallel execution using spatial and temporal information relating to elements in the PROBEQL database. The optimized database query is split into sub-queries with sub-queries being divided spatially according to host and temporally according to time window. A parallel execution module is configured to execute the sub-queries on the PROBEQL database in parallel. A results module is configured to output progressive results of the database query. A security control system is configured to perform a security control action in accordance with the progressive results.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for charging toll fees. One of the computer-implemented methods includes obtaining information of a vehicle traveling on a road, where the vehicle is associated with a user account on a payment platform. In response to determining that a distance the vehicle is driven on the road reaches a predetermined distance, initiating a toll fee charging request for the vehicle to the payment platform to charge a toll fee corresponding to the predetermined distance.