Abstract: The application discloses a motion detection method and an electronic device applying the same. A plurality of transmission packets are transmitted and a plurality of received packets are received. A received packet among the plurality of received packets is compensated into a compensated received packet. Cross packet cancellation is performed on the compensated received packet. A packet difference between the compensated received packet and another received packet among the plurality of received packets is determined. Whether an object is detected based on the packet difference is determined.

Abstract: A cosmetic container that enables a user to easily mix a first product and a second product, that are stored separately within the cosmetic container, with a simple twist of the dialer before the first use. The first product is in a first product container, while the second is in a second product container. The cosmetic container includes the first product container, the second product container, a pump dispenser, an outer cap, a seal cap, a piston, an elevator, and the dialer. The dialer encloses the second product container and, when rotated, moves the elevator, which in turn pushes the piston inside the second product container. The piston, with a central rod, creates an aperture in the seal cap for the second product to flow into the first product container. This process ensures easy mixing before dispensing by removing the outer cap and using the pump dispenser.

Abstract: Computer implemented methods, systems, and computer program products include program code executing on a processor(s) that obtain a query comprising a JOIN statement that references two or more tables in the one or more remote databases. The program code determines, for each table of the two or more tables, whether executing the JOIN statement utilizes system resources above a pre-defined allotment. Based on determining, for at least one table the program code generates a filter for the at least one table based on an intersection between predicates in the query. The program code applies the filer to the at least one table to fetch results for the query and exclude unrelated data from the fetching.

Abstract: A data virtualization layer (DV) receives a join query request related to a plurality of tables respectively stored in a plurality of distributed database servers. A plurality of candidate query plans for the join query request is generated where each of the plurality of candidate query plans indicates an order for transmitting the tables respectively stored in the database servers to the DV. For each of the plurality of candidate query plans, a query cost for the candidate query plan is calculated based on a data amount of the tables to be transmitted according to the candidate query plan. From the plurality of candidate query plans, a query plan is determined for the join query request which has a lowest query cost.

Abstract: A power tool apparatus includes a housing, a control board, a working part, a motor and a fan. The housing has a battery pack cavity. The battery pack cavity is configured to install a battery pack. The control board is disposed within the housing. The working part is disposed on the housing. The motor is disposed within the housing. The motor drives the working part to operate. The air duct is disposed within the housing. The air duct is configured for heat dissipation of the power tool apparatus. The fan is fixedly connected to an output shaft of the motor. The fan is configured to drive air to flow along the air duct when rotating. The housing has at least two air inlets and at least one first air outlet. The air duct is disposed between the air inlets and the first air outlet.

Abstract: Provided is a dyeing effect prediction method, a training method of a dyeing effect prediction model, an electronic device, and a storage medium, relating to the field of computers, and in particular to artificial intelligence technologies, neural network model technologies and model training technologies. The dyeing effect prediction method includes decomposing Raman spectrum data of a to-be-detected yarn spindle into a plurality of sub-signal data by using a wavelet basis function; determining a feature of the to-be-detected yarn spindle according to at least a part of target sub-signal data in the plurality of sub-signal data; and predicting to obtain a first dyeing label according to the feature of the to-be-detected yarn spindle by using a dyeing effect prediction model, wherein the first dyeing label is used for representing a dyeing effect grade.

Abstract: An approach is provided for optimizing multi-datasource queries in a networked computing environment. A procedure that contains a set of queries designed to access a specific set of data from a plurality of datasources in a virtualized hybrid storage environment (e.g., a virtualized hybrid cloud) is obtained. A set of mapped store procedures is created for the set of datasources referenced in the procedure. Each mapped store procedure includes a subset of queries that are applicable to a corresponding datasource from the set of queries in the procedure. These mapped store procedures are forwarded to the corresponding datasource for storage on the corresponding datasource. In response to a running of the procedure, execution of the mapped store procedure is commenced on each of the corresponding datasources on which they are stored.

Abstract: Provided is a training method for an image recognition model, a spinneret plate detection method, a spinneret plate detection device, and a storage medium, relating to the fields of image recognition and deep learning technologies. The training method includes: processing a spinneret plate sample image based on a first image recognition model to obtain annotation state information of each micro hole in the spinneret plate sample image, wherein the spinneret plate sample image is a projection image formed on an imaging member after light emitted by a light source passes through each micro hole of a spinneret plate sample and is amplified by an amplifying member, the annotation state information is used to characterize a shape state of a micro hole corresponding thereto; and training a preset image recognition model based on the spinneret plate sample image and the annotation state information to obtain a target image recognition model.

Abstract: An approach for optimizing statistical query performance. The approach receives a structured query language set. The approach identifies a first set of parameters associated with the statements of the SQL set. The approach creates a merged SQL statement based on one or more matching parameters of SQL statements in the SQL set. The approach binds a second set of parameters associated with the merged SQL statement to the merged SQL statement. The approach generates a SQL statement based on the merged SQL statement. The approach generates a remote SQL statement based on the SQL statement. The approach executes a commit statement on the remote SQL statement.