Abstract: A document sentence concept labeling system, a training method and a labeling method thereof are provided. The labeling method of the document sentence concept labeling system includes the following steps. An unlabeled document and one or more sentence concepts are inputted to a pre-trained language model to obtain a set of word embeddings of the unlabeled document. The set of word embeddings of the unlabeled document is inputted into a document analysis model to obtain a start position and an end position of a sentence set corresponding to each of the sentence concepts in the unlabeled document. According to each of the start positions and each of the end positions, each of the sentence sets is obtained.

Abstract: A question-answering learning method including the following steps is provided. Firstly, several classifiers are created according to N1 labeled sentences among N sentences. Then, at least one corresponding sentence type of each of the N2 unlabeled sentences among the N sentences is determined by each classifier. Then, N3 sentences are selected from the N2 unlabeled sentences according to a degree of consistency of determined results of the classifiers, wherein the determined results of the N3 sentences are determined by the classifiers and are inconsistent. Then, N4 mutually complementary sentences are selected as to-be-labeled sentences from the N3 sentences. Then, after the N4 selected to-be-labeled sentences are labeled, several classifiers are re-created according to the N1 labeled sentences and the N4 selected to-be-labeled sentences. Then, at least one of the previously created classifiers is added to the currently created classifiers to be members of the classifiers.

Abstract: A wireless sensing system and a method thereof are provided. The wireless sensing system includes: a data processing center; and a first sensor module for processing a first source data into a first dynamic counting sketch data structure. The first dynamic counting sketch data structure has a bit length determined based on the first source data. The data processing center estimates the first source data based on the first dynamic counting sketch data.

Abstract: A wireless sensor network and data sensing method thereof are provided. A prediction model is established according to sensed data. When statistical value of the sensed data is within a user allowable range, the average value of the sensed data is returned to a user based on the prediction model. Alternatively, when the statistical value of the sensed data is beyond the user allowable range, actually sensed data is returned to the user based on the prediction model. In addition, the prediction model may further be dynamically updated according to subsequently received sensed data.

Abstract: A wireless sensing system and a method thereof are provided. The wireless sensing system includes: a data processing center; and a first sensor module for processing a first source data into a first dynamic counting sketch data structure. The first dynamic counting sketch data structure has a bit length determined based on the first source data. The data processing center estimates the first source data based on the first dynamic counting sketch data.

Abstract: A wireless sensor network and data sensing method thereof are provided. A prediction model is established according to sensed data. When statistical value of the sensed data is within a user allowable range, the average value of the sensed data is returned to a user based on the prediction model. Alternatively, when the statistical value of the sensed data is beyond the user allowable range, actually sensed data is returned to the user based on the prediction model. In addition, the prediction model may further be dynamically updated according to subsequently received sensed data.