Abstract: A computer-implemented method is provided. The computer-implemented method includes obtaining a bipartite network; a first multi-view homogeneous network; and a second multi-view homogeneous network; performing an embedding learning process for the bipartite network; performing an embedding learning process for the first multi-view homogeneous network; performing an embedding learning process for the second multi-view homogeneous network; and predicting association relationships between nodes of a first object type and nodes of a second object type.

Abstract: A multi-objective optimized evaluation method of anti-seismic performance of a slope reinforced by a pile-anchor system is provided. The method includes: training an initial three-dimensional slope numerical calculation model to obtain an target three-dimensional slope numerical calculation model; determining numerical values to be imported into the target three-dimensional slope numerical calculation model according to deformation differences, to obtain a model analysis result; obtaining a simulation operation result according to a reinforcement scheme working condition table of the pile-anchor system; based on the model analysis result and the simulation operation result, evaluating anti-seismic reinforcing performance of the pile-anchor system to obtain comprehensive evaluation values, and then optimizing and evaluating the reinforcement schemes of an overall slope to be reinforced.

Abstract: The present disclosure provides a test system and method for an anchoring performance of a full-size rock mass anchor bolt under combined load and relates to the technical field of detection test equipment. The system includes a primary frame, a co-directional pull-twist loading mechanism and a vertical shear loading mechanism. The primary frame includes a dual-parallel horizontal reaction frame and a vertical reaction frame. The co-directional pull-twist loading mechanism and the vertical shear loading mechanism are arranged in synergy with the primary frame. The co-directional pull-twist loading mechanism performs synchronous pull and twist loading for the anchored rock mass and the vertical shear loading mechanism applies a static load or simulates a dynamic load disturbance. The co-directional pull-twist loading mechanism and the vertical shear loading mechanism perform separate loading.

Abstract: A test system for an anchoring performance of a full-size rock mass anchor bolt under combined load and relates to the technical field of detection test equipment includes a primary frame, a co-directional pull-twist loading mechanism and a vertical shear loading mechanism. The primary frame includes a dual-parallel horizontal reaction frame and a vertical reaction frame. The co-directional pull-twist loading mechanism and the vertical shear loading mechanism are arranged in synergy with the primary frame. The co-directional pull-twist loading mechanism performs synchronous pull and twist loading for the anchored rock mass and the vertical shear loading mechanism applies a static load or simulates a dynamic load disturbance. The co-directional pull-twist loading mechanism and the vertical shear loading mechanism perform separate loading.

Abstract: A linewidth measurement method and apparatus, a computing and processing device, a computer program and a computer readable medium are provided for measuring a width of a line.

Abstract: Disclosed in the present disclosure is a double-deck multi-span bridge construction method. According to the double-deck bridge construction method of the present disclosure, construction is carried out by using a method of disassembling a support jig frame in a graded and span-separated mode, an upper chord jig frame and a lower chord jig frame can be used in a recycle manner, and construction costs are reduced. In addition, a construction period of building the support jig frame is shortened, and other construction operations can be synchronously carried out on a span in which the jig frame is disassembled, for example, fire retardant coating construction can be carried out on a mounted bridge deck after the jig frame is disassembled, and the construction period of a double-deck multi-span bridge is effectively shortened.

Abstract: The disclosure discloses a method and a device for controlling cylinder switching of a compressor, a unit and an air conditioning system. The method includes: determining whether the compressor needs to perform cylinder switching; if so, adjusting current operating frequency according to a system pressure difference so that both the adjusted operating frequency and the system pressure difference meet a cylinder switching condition of the compressor; and controlling the compressor to perform cylinder switching. At the moment, the system pressure difference and the operation frequency are stable, and would not interfere the compressor's maintaining of the single-cylinder or double-cylinder operation state, which guarantees the energy efficiency of the unit where the compressor is located, and improves the use experience of a user.

Abstract: A method for controlling the power-on or power-off of an air conditioner is provided. The method includes the following steps: determining whether a variable capacity compressor of the air conditioner is in a standby single-cylinder operation state before starting the air conditioner, where the variable capacity compressor is configured to be switchable between a single-cylinder operation state and a dual-cylinder operation state; if so, starting the air conditioner; if not, switching the variable capacity compressor to the standby single-cylinder operation state, and then starting the air conditioner. With this control method, regardless of whether the air conditioner is shut down because the power supply of the unit is cut off or because a power-off signal is received, the air conditioner can be started in a single-cylinder operation state in the next startup, so that the operation state of the cylinder is always determined when starting the air conditioner.

Abstract: A method and a device for controlling a capacity change of a compressor, and a smart home appliance. The method includes: determining whether a capacity of the compressor is required to be changed; if yes, determining an intermediate frequency; changing the capacity of the compressor while maintaining the operating frequency of the compressor at the intermediate frequency; and the maintaining the operating frequency of the compressor at the intermediate frequency reduces a sudden change in output of the compressor after the changing the capacity.

Abstract: Disclosed are a variable capacity compressor operation mode determination method and device, a variable capacity compressor and an air conditioner. The variable capacity compressor operation mode determination method includes: detecting a current value of a compressor at present as A1 before switching an operation mode of the compressor; detecting the current value of the compressor at present as A2 after switching the operation mode of the compressor and reaching a preset time; comparing A1 and A2, determining that the switching of the operation mode of the compressor is successful when a ratio relationship between A1 and A2 satisfies a preset condition, and determining that switching of the operation mode of the compressor is failed when the ratio relationship between A1 and A2 dissatisfies a preset condition.

Abstract: The present application discloses a data processing method, apparatus, system, device, and storage medium. The method includes: receiving IoT data reported by an IoT terminal device; according to a preset rule transmitted by a service system, determining target IoT data in the IoT data, wherein the preset rule is a condition for indicating storage processing of the IoT data; and storing the target IoT data in a storage location corresponding to the preset rule.

Abstract: The present disclosure discloses a networking method device and terminal for an air conditioning unit. The networking method includes: detecting an outside ambient temperature after a target networking indoor unit is started; determining a target operating mode of the target networking indoor unit according to the outside ambient temperature; detecting a system pressure value of a multi-split air conditioning system after an operating duration of the target networking indoor unit in the target operating mode is greater than a preset operating duration; and determining whether the target networking indoor unit belongs to a target networking system according to the system pressure value.

Abstract: Techniques for identifying fraudulent transactions are described. In one example method, an operation sequence and time difference information associated with a transaction are identified by a server. A probability that the transaction is a fraudulent transaction is predicted based on a result provided by a deep learning network, where the deep learning network is trained to predict fraudulent transactions based on operation sequences and time differences associated with a plurality of transaction samples, and where the deep learning network provides the result in response to input including the operation sequence and the time difference information associated with the transaction.

Abstract: A plurality of variable data of personal attribute information associated with at least one vehicle insurance user is received at a prediction server. Based on a service scenario requirement, a pre-constructed prediction algorithm is selected. The plurality of variable data is processed by one or more processors using the pre-constructed prediction algorithm. At least one prediction result is generated as the prediction server.

Abstract: Implementations of the present specification provide abnormal sample prediction methods and apparatuses. The method includes: obtaining a sample to be tested, wherein the sample to be tested comprises feature data with a given dimension, and wherein the given dimension is a first quantity; performing dimension reduction processing on the sample to be tested by using multiple dimension reduction methods to obtain multiple processed samples; inputting the multiple processed samples to multiple corresponding processing models to obtain scores of the multiple processed samples, wherein an ith processing model Mi in the multiple processing models scores the corresponding processed sample Si based on a hypersphere Qi; determining a comprehensive score of the sample to be tested based on scores of the multiple processed samples; and classifying, based on the comprehensive score, the sample to be tested as an abnormal sample.

Abstract: The present specification discloses a method and an apparatus for training a transaction feature generation model, and a method and an apparatus for generating a transaction feature. The method for generating a transaction feature can include the following: obtaining a target dataset, where the target dataset includes some pieces of transaction data; obtaining some original features of the transaction data and determining one or more combination methods for the original features; determining a feature vector of a new feature that is obtained by combining the original features based on each combination method; inputting the feature vector into a trained transaction feature generation model, and outputting a prediction result of the new feature; and selecting some new features whose prediction results meet a specified condition as transaction features generated for the target dataset.

Abstract: The invention relates to a method and system for selecting a least-loaded route based on a naive Bayes classifier, so that the performance of a method for selecting a least-loaded route is improved. A network snapshot records historical network status information, and a naive Bayes classifier is used to predict the potential future network blocking probability if a service connection is established along a candidate route between each node pair. A network snapshot corresponds to each service request that arrives, and records the number of busy capacity units on each link.

Abstract: A method for controlling the power-on or power-off of an air conditioner is provided. The method includes the following steps: determining whether a variable capacity compressor of the air conditioner is in a standby single-cylinder operation state before starting the air conditioner, where the variable capacity compressor is configured to be switchable between a single-cylinder operation state and a dual-cylinder operation state; if so, starting the air conditioner; if not, switching the variable capacity compressor to the standby single-cylinder operation state, and then starting the air conditioner. With this control method, regardless of whether the air conditioner is shut down because the power supply of the unit is cut off or because a power-off signal is received, the air conditioner can be started in a single-cylinder operation state in the next startup, so that the operation state of the cylinder is always determined when starting the air conditioner.

Abstract: Disclosed are a variable capacity compressor operation mode determination method and device, a variable capacity compressor and an air conditioner. The variable capacity compressor operation mode determination method includes: detecting a current value of a compressor at present as A1 before switching an operation mode of the compressor; detecting the current value of the compressor at present as A2 after switching the operation mode of the compressor and reaching a preset time; comparing A1 and A2, determining that the switching of the operation mode of the compressor is successful when a ratio relationship between A1 and A2 satisfies a preset condition, and determining that switching of the operation mode of the compressor is failed when the ratio relationship between A1 and A2 dissatisfies a preset condition.

Abstract: The invention relates to a method and system for selecting a least-loaded route based on a naive Bayes classifier, so that the performance of a method for selecting a least-loaded route is improved. A network snapshot records historical network status information, and a naive Bayes classifier is used to predict the potential future network blocking probability if a service connection is established along a candidate route between each node pair. A network snapshot corresponds to each service request that arrives, and records the number of busy capacity units on each link.