3 results about "Self description" patented technology

Method and system for creating and implementing a cleaning-in-place installation cleaning process for a process installation, wherein an installation to be cleaned is represented as process modules that each include an item of self-description information with respect to the respective cleaning properties and that are each configured to transmit the self-description information, where the system has at least one auxiliary module that provides auxiliary services for the installation cleaning process, and a process planning unit that has an item of cleaning process information having cleaning steps needed at least for the installation cleaning process and model descriptions of cleaning efficiency for each cleaning step, and the process planning unit determines a cleaning schedule in a partially automated manner on a system-specific basis based on the cleaning process information supplemented with self-description information relating to the process modules and taking into account information relating to the at least one auxiliary module.

A method of registration of a certification entity of a data space for at least one target criterion associated with a service, the method being implemented by a data space management entity capable of managing the certification entity. The method includes: receiving self-description data from a candidate for certification entity status for the data space for the at least one target criterion, the candidate being capable of certifying at least one criterion of a service; and registering the candidate in a registry specific to the data space, as a certification entity of the data space for the at least one target criterion in the event that, based on the self-description data, the candidate is determined to be capable of verifying the conformity of the at least one target criterion with the service.

A personalized learning recommendation method based on a personalized knowledge graph, including knowledge graph construction, a learner filling in a learning style self-description and learning goal expectation content; and through an entrance test module, a preliminary investigation and evaluation is conducted on the current learning situation of the learner; an initial learner portrait model is established, the learner enters a database for learning, and a learning evaluation module conducts a periodic evaluation on the learning situation of the learner; the learner portrait model is updated, a learning path and learning resources suitable for the learner are generated by using a knowledge graph technology and a reinforcement learning DQN network; a learning path database is updated; and a new learning path is recommended to the learner; the learning data of the student is analyzed to determine the basic situation of the student, the learner portrait model is constructed, the personalized learning characteristics are adapted to the learning knowledge element sequence by using the knowledge graph technology and the learning recommendation algorithm, the personalized learning path recommendation mode is constructed, and the learning effect is improved.