A method for unlocking a display panel and a display assembly are provided. The method includes: acquiring a plurality of preset pictures, wherein different preset pictures among the plurality of preset pictures correspond to different preset inputs; performing at least one unlocking process, wherein each of the at least one unlocking process includes: causing the display panel to display at least one preset picture of the plurality of preset pictures and receive a verification input from a user, when the display panel is in a locked state; determining whether the verification input is identical with the preset input corresponding to a displayed preset picture; and switching the display panel to an unlocked state, if the verification input is identical with the preset input corresponding to the displayed preset picture.

A method for unlocking a display panel and a display assembly are provided. The method includes: acquiring a plurality of preset pictures, wherein different preset pictures among the plurality of preset pictures correspond to different preset inputs; performing at least one unlocking process, wherein each of the at least one unlocking process includes: causing the display panel to display at least one preset picture of the plurality of preset pictures and receive a verification input from a user, when the display panel is in a locked state; determining whether the verification input is identical with the preset input corresponding to a displayed preset picture; and switching the display panel to an unlocked state, if the verification input is identical with the preset input corresponding to the displayed preset picture.

Techniques for instructions for min-max operations are described. An example apparatus comprises decoder circuitry to decode a single instruction, the single instruction to include fields for identifiers of a first source operand, a second source operand, an a destination operand, a field for an immediate operand, and a field for an opcode, the opcode to indicate execution circuitry is to perform a min-max operation, and execution circuitry to execute the decoded instruction according to the opcode to perform the min-max operation to determine a particular operation of five or more minimum and maximum operations in accordance with a value of the immediate operand, perform the determined particular operation on the identified first source operand and the identified second source operand to return a result, and store the result into the identified destination operand. Other examples are described and claimed.

Techniques for instructions for min-max operations are described. An example apparatus comprises decoder circuitry to decode a single instruction, the single instruction to include fields for identifiers of a first source operand, a second source operand, an a destination operand, a field for an immediate operand, and a field for an opcode, the opcode to indicate execution circuitry is to perform a min-max operation, and execution circuitry to execute the decoded instruction according to the opcode to perform the min-max operation to determine a particular operation of five or more minimum and maximum operations in accordance with a value of the immediate operand, perform the determined particular operation on the identified first source operand and the identified second source operand to return a result, and store the result into the identified destination operand. Other examples are described and claimed.

A system and method for estimating a system state. The method includes making a first measurement and a second measurement of a value of a characteristic of a state of a system. The method includes constructing first filter measurement and time estimates after the second measurement coinciding with the first measurement including corresponding covariance matrices describing an accuracy of the first filter measurement and time estimates. The method includes constructing second filter measurement and time estimates coinciding with the second measurement including corresponding covariance matrices describing an accuracy of the second filter measurement and time estimates. The method includes constructing a smoothing estimate from the first and second filter measurement estimates. The method includes constructing a first prediction estimate that provides a forecast of a value of the characteristic of the state of the system including a first prediction covariance matrix describing an accuracy of the first prediction estimate.

A system and method for estimating a system state. The method includes making a first measurement and a second measurement of a value of a characteristic of a state of a system. The method includes constructing first filter measurement and time estimates after the second measurement coinciding with the first measurement including corresponding covariance matrices describing an accuracy of the first filter measurement and time estimates. The method includes constructing second filter measurement and time estimates coinciding with the second measurement including corresponding covariance matrices describing an accuracy of the second filter measurement and time estimates. The method includes constructing a smoothing estimate from the first and second filter measurement estimates. The method includes constructing a first prediction estimate that provides a forecast of a value of the characteristic of the state of the system including a first prediction covariance matrix describing an accuracy of the first prediction estimate.

A data sorting system based on HC-TABLEs and an implementation method thereof are provided, relating to a technical field of computer application. The system provided by the present invention consists of a rule library and a sorting scheduling module. The rule library includes a sorting configuration library constituting the HC-TABLEs, and a sorting rule library and a sorting result set library based on the HC-TABLEs. The sorting scheduling module provides functions of scheduling and distribution. The scheduling function is able to transfer a structured query language of to each sorting result set into an actual data file in a task form; and the distribution function is able to distribute the data file. The present invention realizes sorting customized processing of data, has advantages of good expansibility and wide application range, and can be effectively applied in various business-type systems.

A data sorting system based on HC-TABLEs and an implementation method thereof are provided, relating to a technical field of computer application. The system provided by the present invention consists of a rule library and a sorting scheduling module. The rule library includes a sorting configuration library constituting the HC-TABLEs, and a sorting rule library and a sorting result set library based on the HC-TABLEs. The sorting scheduling module provides functions of scheduling and distribution. The scheduling function is able to transfer a structured query language of to each sorting result set into an actual data file in a task form; and the distribution function is able to distribute the data file. The present invention realizes sorting customized processing of data, has advantages of good expansibility and wide application range, and can be effectively applied in various business-type systems.

System and method for multi-core processing based time series management, capable of handling high volume time series data with high speed processing for time series forecasting. The method includes storing each time series as a Structured Query Language (SQL) array in a single row using a plurality of time series parameters. Further, stored plurality of time series are analyzed on receiving a forecast request using a correlation based pattern detection mechanism. The pattern detection mechanism enables deriving a subset of forecasting models, from which an optimal or best-fit forecasting model is identified to generate one or more forecasted time series.

System and method for multi-core processing based time series management, capable of handling high volume time series data with high speed processing for time series forecasting. The method includes storing each time series as a Structured Query Language (SQL) array in a single row using a plurality of time series parameters. Further, stored plurality of time series are analyzed on receiving a forecast request using a correlation based pattern detection mechanism. The pattern detection mechanism enables deriving a subset of forecasting models, from which an optimal or best-fit forecasting model is identified to generate one or more forecasted time series.