Abstract: An optical element driving mechanism is provided and includes a fixed assembly, a movable assembly, a driving assembly and a stopping assembly. The fixed assembly has a main axis. The movable assembly is configured to connect an optical element, and the movable assembly is movable relative to the fixed assembly. The driving assembly is configured to drive the movable assembly to move relative to the fixed assembly. The stopping assembly is configured to limit the movement of the movable assembly relative to the fixed assembly within a range of motion.

Abstract: A network learning system includes a host being coupled to a first user end and a second user end. A processor of the host end is configured to perform the following steps of: storing original lesson information being sent from the first user end in which the original lesson information has a plurality of content sections; selecting the content sections to form adaptive lesson information based on a learning condition of the second user end; sending the adaptive lesson information to the second user end so that an output device of the second user end outputs the adaptive lesson information based on a view of a simulated space; when the output device of the second user end outputs the adaptive lesson information, recording a value from an input device of the second user end.

Abstract: The present disclosure relates to a data analysis method and a data analysis system thereof. The data analysis method includes steps of: receiving a first learning content data, and adding multiple first segmentation marks to the first learning content data to divide multiple first learning sections on the first learning content data. The first learning sections are arranged according to a time axis. Searching a first keyword string corresponding to each first learning section from the first learning sections. Receiving a analysis command, and analyzing the analysis command with the first keyword string of each of the first learning content data to obtain multiple first similarities, corresponding to the analysis command and each of the first learning sections. Finally, searching for the first learning section with the highest similarity.

Abstract: The present disclosure relates to a data search method and a data search system thereof. The data search method includes steps of: receiving a first learning content data, wherein the first learning content data includes multiple first learning sections; analysing the first learning content data by a way of Natural Language Processing to search multiple first keyword strings corresponding to each of the first learning content data; receiving a search message; analysing the search message by the way of Natural Language Processing to generate a search string; comparing the search string with the first keyword strings; and generating a search list according to the first learning section, which corresponding to the first keyword string that matches the search string.

Abstract: A system for recommending multimedia data includes a storage device and a processor. The storage device includes a first storage unit and a second storage unit. The first storage unit is configured to store multimedia data segments. The second storage unit is connected to at least one client device through network, and configured to store operation data generated by the interaction between the at least one client device and the system. The processor coupled to the storage device is configured to analyze the multimedia data segments in the first storage unit in order to generate relevance links between the multimedia data segments, analyze the operation data in the second storage unit, and to generate, based on the relevance links and the operation data, a corresponding recommended list, wherein the recommended list records the multimedia data segments.

Abstract: A network learning system includes a host being coupled to a first user end and a second user end. A processor of the host end is configured to perform the following steps of: storing original lesson information being sent from the first user end in which the original lesson information has a plurality of content sections; selecting the content sections to form adaptive lesson information based on a learning condition of the second user end; sending the adaptive lesson information to the second user end so that an output device of the second user end outputs the adaptive lesson information based on a view of a simulated space; when the output device of the second user end outputs the adaptive lesson information, recording a value from an input device of the second user end.

Abstract: The present disclosure relates to a data search method and a data search system thereof. The data search method includes steps of: receiving a first learning content data, wherein the first learning content data includes multiple first learning sections; analysing the first learning content data by a may of Natural Language Processing to search multiple first keyword strings corresponding to each of the first learning content data; receiving a search message; analysing the search message by the may of Natural Language Processing to generate a search string; comparing the search string with the first keyword strings; and generating a search list according to the first learning section, which corresponding to the first keyword string that matches the search string.

Abstract: A system for recommending multimedia data includes a storage device and a processor. The storage device includes a first storage unit and a second storage unit. The first storage unit is configured to store multimedia data segments. The second storage unit is connected to at least one client device through network, and configured to store operation data generated by the interaction between the at least one client device and the system. The processor coupled to the storage device is configured to analyze the multimedia data segments in the first storage unit in order to generate relevance links between the multimedia data segments, analyze the operation data in the second storage unit, and to generate, based on the relevance links and the operation data, a corresponding recommended list, wherein the recommended list records the multimedia data segments.

Abstract: The present disclosure relates to a data analysis method and a data analysis system thereof. The data analysis method includes steps of: receiving a first learning content data, and adding multiple first segmentation marks to the first learning content data to divide multiple first learning sections on the first learning content data. The first learning sections are arranged according to a time axis. Searching a first keyword string corresponding to each first learning section from the first learning sections. Receiving a analysis command, and analyzing the analysis command with the first keyword string of each of the first learning content data to obtain multiple first similarities, corresponding to the analysis command and each of the first learning sections. Finally, searching for the first learning section with the highest similarity.