Abstract: A voice call management method is provided. The voice call management method may be applied to an apparatus. The voice call management method may include the following steps. The apparatus may determine the current scenario associated with the operation environment of the apparatus. Then, the apparatus may determine to perform a voice call through a modem (MD) voice engine or through an application processor (AP) voice engine according to the current scenario.

Abstract: The present disclosure provides a method and a system for identifying mobile device according to information feature of applications of the mobile device. In an analysis device, obtaining a first information feature related to a first application and a second information feature related to a second application, wherein the first information feature is corresponding to one of the mobile devices, the second information feature is corresponding to one of the mobile devices. The analysis device compares the degree of similarity between the first information feature and the second information feature, and a comparison result determines whether the corresponding mobile device with the first information feature and the corresponding mobile device with the second information feature are the same mobile device. Thus, the method and the system can identify whether or not certain applications are already installed to the same mobile device.

Abstract: An information recommend system includes an information recommend device. The information recommend device is configured to store a operation model and a recommendation model. The operation model is composed of a plurality of operation mode data, and the recommendation model is composed of detailed data of a plurality of multimedia data. The information recommend device is further configured to receive a plurality of real-time viewing data, determine a real-time operation mode according to the real-time viewing data and the operation model, and determine recommending multimedia data and a time point for recommending form the detailed data of the multimedia data according to the real-time operation mode and the recommendation model.

Abstract: A system for automatically embedding behavior collection components into a mobile device application; the system includes a user interface module, a recording module, a marking module, and an embedding module. The user interface module provides an operation interface which includes tracking items. The tracking items correspond to behavior collection components. The behavior collection components transmit operation information of the mobile device to a server. The recording module records relational information respectively corresponds to each of the behavior collection components, and each relational information is a relational function selected from of a plurality of relational functions of a library. The marking module determines and marks embedding positions of the behavior collection components in the mobile device application based on the behavior collection components of the selected tracking items and relational information thereof.

Abstract: A device, a system, a method and a non-transitory computer-readable storage medium for identifying viewer profile are disclosed herein, in which the device includes a database, an input unit and a processing unit, and the processing unit is electrically coupled to the database and the input unit. The database is configured to store a plurality of viewer profiles. The input unit is configured to receive a plurality of real-time viewing data. The processing unit is configured to determine a real-time viewer profile according to the viewer profiles and the real-time viewing data.

Abstract: The present disclosure provides a method and a system for identifying mobile device according to information feature of applications of the mobile device. In an analysis device, obtaining a first information feature related to a first application and a second information feature related to a second application, wherein the first information feature is corresponding to one of the mobile devices, the second information feature is corresponding to one of the mobile devices. The analysis device compares the degree of similarity between the first information feature and the second information feature, and a comparison result determines whether the corresponding mobile device with the first information feature and the corresponding mobile device with the second information feature are the same mobile device. Thus, the method and the system can identify whether or not certain applications are already installed to the same mobile device.

Abstract: A system for automatically embedding behavior collection components into a mobile device application; the system includes a user interface module, a recording module, a marking module, and an embedding module. The user interface module provides an operation interface which includes tracking items. The tracking items correspond to behavior collection components. The behavior collection components transmit operation information of the mobile device to a server. The recording module records relational information respectively corresponds to each of the behavior collection components, and each relational information is a relational function selected from of a plurality of relational functions of a library. The marking module determines and marks embedding positions of the behavior collection components in the mobile device application based on the behavior collection components of the selected tracking items and relational information thereof.

Abstract: A method of removing silicon dioxide from a waste liquid is described. A solution containing fluoride ions is added into the waste liquid to form a reaction product. A method of cleaning a membrane tube for processing waste water is also described, wherein the membrane tube contains residues of waste water that include a first residue and a second residue containing silicon dioxide. A first cleaning step is conducted to reduce the concentration of the first residue in the membrane tube to a first concentration. A solution containing fluoride ions is added into the tube to react with the second residue to form a reaction product. A second cleaning step is then conducted to reduce the concentration of the residual fluorine ions in the membrane tube to a second concentration.

Abstract: A method of removing silicon dioxide from a waste liquid is described. A solution containing fluoride ions is added into the waste liquid to form a reaction product. A method of cleaning a membrane tube for processing waste water is also described, wherein the membrane tube contains residues of waste water that include a first residue and a second residue containing silicon dioxide. A first cleaning step is conducted to reduce the concentration of the first residue in the membrane tube to a first concentration. A solution containing fluoride ions is added into the tube to react with the second residue to form a reaction product. A second cleaning step is then conducted to reduce the concentration of the residual fluorine ions in the membrane tube to a second concentration.