7 results about "Assignment rule" patented technology

A method of encoding data, a method of decoding data, an encoder, and a decoder are provided. The decoder is configured to determine a convolutionally coded message from two or more symbol sequences, wherein each of the symbol sequences is assigned to different bit sequences according to an assignment rule and the convolutionally coded message corresponds to a bit sequence that is assigned to all symbol sequences according to the common assignment rule, and to decode the convolutionally coded message.

In some examples, a method involves rendering a graphical user interface having an Assignment Map canvas for specifying an Assignment Map, the Assignment Map graphically representing configuration data for a set of one or more user devices. User input specifies a set of conditional logic blocks at respective graphical positions within the Assignment Map canvas, each conditional logic block comprising one or more conditional logic nodes, each conditional logic node having a respective assignment rule and a respective set of Library Items. For each user device, the set of conditional logic blocks are evaluated in an order determined by a relative graphical position of each conditional logic block along a root line within the Assignment Map canvas. Each user device is then configured using respective configuration data generated based on an evaluation outcome of the plurality of conditional logic blocks.

The present invention discloses a containerized deployment method, tool and system for a graph database, wherein the method is used to perform adaptive deployment at the current node based on key parameters input by the user, and includes the following steps: based on the key parameters, matching with preset dynamic templates to obtain corresponding candidate templates, each dynamic template contains placeholders, assignment rules and dependency relationships corresponding to each placeholder; using the corresponding placeholders in the obtained candidate templates as points and the dependency relationships as edges to generate a corresponding dependency graph, which is a directed acyclic graph; based on the dependency graph, deriving the actual values ​​corresponding to each placeholder in turn according to the corresponding assignment rules, and generating corresponding deployment parameters; and performing container deployment at the current node based on the deployment parameters. Compared with existing static templates based on manual adjustment or simple default value overwriting, the present invention automatically derives the required parameters through the design of dynamic templates and dependency graphs, effectively improving deployment efficiency.

The present disclosure provides a field assignment method and device, the method comprising: sequentially reading each configuration item in an assignment configuration file; parsing the currently read configuration item to obtain source configuration information, destination configuration information and configuration information of a conversion function in the currently read configuration item; determining a field value to be converted according to the source configuration information; calling the conversion function according to the configuration information of the conversion function to convert the field value to be converted to obtain a converted field value; and assigning a destination field according to the destination configuration information and the converted field value, thereby achieving dynamic processing of field assignment logic of different message types without modifying and recompiling code to adjust the field assignment rule each time, improving field assignment flexibility; in addition, when the message type increases, only the corresponding configuration item needs to be added in the assignment configuration file, without modifying and extending complex code logic, improving system maintainability and scalability.

A method for encoding data, a method for decoding data, an encoder, and a decoder are shown. The decoder is configured to determine a convolutionally encoded message consisting of two or more symbol strings, where each of the symbol strings is assigned to different bit sequences according to an assignment rule, and the convolutionally encoded message corresponds to a bit sequence assigned to all symbol strings according to the common assignment rule, and to decode the convolutionally encoded message.

This invention provides a method, system, readable storage medium, and computer equipment for transparent class assignment between teachers and students. The method includes setting up a standalone operating environment; collecting transparent class assignment data to obtain a class assignment data package and importing the class assignment data package into the standalone operating environment; setting class assignment rules in the standalone operating environment, including configuring student class assignment rules and generating school random codes; initially dividing the current school's student classes according to the school random codes, numbering the student classes, and randomly assigning teacher teams according to the student class numbers to bind teachers to student classes, and generating a unique random code for each teacher; randomly selecting a specified number of students from the student pool corresponding to the student class based on the student class assignment rules, and generating a unique random code for each student to obtain the class assignment results, and displaying the class assignment results in a loop. This invention can achieve random class assignment and can ensure the authenticity and credibility of the class assignment.

A method for processing sensor data in a control device of a vehicle. The method includes: evaluating sensor data generated by different sensors of the vehicle for detecting its environment, via different evaluation functions which convert at least part of the sensor data as input data into output data, wherein the output data are assigned a priority using an assignment rule based on known insufficiencies of the sensors and / or the evaluation functions and the output data are used according to their priority in order to update an environment model that stores information about objects in the environment of the vehicle; recognizing an insufficiency that differs from the known insufficiencies using at least a part of the sensor data and / or at least a part of the output data; updating the assignment rule based on the recognized insufficiency.