Abstract: A blood glucose control system according to an embodiment of the present invention includes a continuous blood glucose meter configured to continuously measuring blood glucose of a patient, a bio-signal sensor configured to acquire a bio-signal of the patient, a lifelog data collector configured to collect lifelog data of the patient, an insulin injection controller configured to determine an insulin injection amount and an injection rate based on one or more of blood glucose measurement information and blood glucose metabolism characteristic information received from the continuous blood glucose meter, the bio-signal acquired by the bio-signal sensor or a stress level of the patient indexed by the bio-signal, and the lifelog data collected by the lifelog data collector, and an insulin pump configured to inject insulin into a body of the patient according to the insulin injection amount and the injection rate determined by the insulin injection controller.

Abstract: Provided are a neural adaptive learning device using question types and relevant concepts and a learning method using the same, the device being capable of: storing curriculum, chapters, question types, problem types, problems, concepts and a relationship between the concepts; providing learning content to a user by using the stored data; connecting a learning history of each user for each problem in association with a chapter, a question type, a problem type and one or more concepts so as to extract a problem to be provided to a user by a neural adaptive method according to a rule defined for each of a plurality of learning levels on the basis of a mutually connected structure; adjusting the priority of a plurality of question types; and providing a concept cloud map for learning.

Abstract: Provided are a neural adaptive learning device and a neural adaptive learning method using a relational concept map, which: store problems for learning, concepts related to the problems, and relations among the concepts; provide a cloud map as a relational concept map to a user by utilizing the problems, the concepts, the concept map, and the learning history; relate and connect the learning history with the problems and one or more concepts; enable the extraction of the concept selected by the user and searching for the desired concept of the user; provide the cloud map for a user equipment of the user by using the extracted concept and the related concept; and extract the connected problems from a problem storage unit to enable learning.