Abstract: A driving device including a transmission mechanism, a lever handle, and a locking mechanism. The transmission mechanism includes a mounting housing and a movable member. The mounting housing is formed with a sliding groove, and the stopper edges are respectively disposed on the tops of two sidewalls of the sliding groove. The movable member is configured to pass through the sliding groove. The bottom wall of the movable member is provided with a transmission rack. The lever handle includes a handle, a mount, a connection shaft, and a second fastener. An end of the handle is formed with a second mounting groove that is provided with an internal tooth portion. The mount is disposed in the second mounting groove and can be connected to a section bar member. The connection shaft is rotatably disposed in the mount and includes a first external tooth portion and a second external tooth portion.

Abstract: An image recognition method and a terminal, where the method includes obtaining, by the terminal, an image file comprising a target object, recognizing, by the terminal, the target object based on an image recognition model in the terminal to obtain object category information of the target object, and storing, by the terminal, the object category information as first label information of the target object. Hence, image recognition efficiency of the terminal can be improved, and privacy of a terminal user can be effectively protected.

Abstract: A recommendation method applied to a terminal includes a rule platform with system-level permission, the rule platform is configured to save system resources and remind a user of a function of an application. The rule platform obtains a first event and a first rule related to the first event from a rule base. The rule platform includes the rule base including a rule and each rule includes a condition. The rule platform updates a matching status of a first condition corresponding to the first event in the first rule. The terminal displays a recommendation result corresponding to the first rule when a matching status of each condition in the first rule indicates that the matching is successful. The first rule is one of the rule related to the first event.

Abstract: A recommendation method applied to a terminal includes a rule platform with system-level permission, the rule platform is configured to save system resources and remind a user of a function of an application. The rule platform obtains a first event and a first rule related to the first event from a rule base. The rule platform includes the rule base including a rule and each rule includes a condition. The rule platform updates a matching status of a first condition corresponding to the first event in the first rule The terminal displays a recommendation result corresponding to the first rule when a matching status of each condition in the first rule indicates that the matching is successful. The first rule is one of the rule related to the first event.

Abstract: An image recognition method and a terminal, where the method includes obtaining, by the terminal, an image file including a target object recognizing, by the terminal, the target object based on an image recognition model in the terminal using a neural network computation apparatus in the terminal to obtain object category information of the target object, and storing, by the terminal, the object category information in the image file as first label information of the target object. Hence, image recognition efficiency of the terminal can be improved, and privacy of a terminal user can be effectively protected.

Abstract: An image recognition method and a terminal, where the method includes obtaining, by the terminal, an image file comprising a target object, recognizing, by the terminal, the target object based on an image recognition model in the terminal to obtain object category information of the target object, and storing, by the terminal, the object category information as first label information of the target object. Hence, image recognition efficiency of the terminal can be improved, and privacy of a terminal user can be effectively protected.

Abstract: A data processing method and device, where the method includes obtaining a usage frequency value of software, compressing a target file of the software to obtain a compressed file when the usage frequency value is less than a preset usage frequency value, receiving a startup instruction for starting the software, querying the compressed file of the software, and decompressing the compressed file using a high-priority process to obtain the target file, where the high-priority process is performed as an essential highest-priority process relative to another process, and starting the software based on the target file.

Abstract: An image recognition method and a terminal, where the method includes obtaining, by the terminal, an image file including a target object recognizing, by the terminal, the target object based on an image recognition model in the terminal using a neural network computation apparatus in the terminal to obtain object category information of the target object, and storing, by the terminal, the object category information in the image file as first label information of the target object. Hence, image recognition efficiency of the terminal can be improved, and privacy of a terminal user can be effectively protected.

Abstract: Embodiments of the present invention relate to a method and an apparatus for optimizing a model applicable to pattern recognition, and a terminal device. The terminal device receives a universal model delivered by a server, where the universal model includes an original feature parameter; recognizes target information by using the universal model, and collects a plurality of local samples; when a model optimization condition is met, corrects the original feature parameter by using a first training algorithm to obtain a new feature parameter; and optimizes the universal model according to a second training algorithm and the new feature parameter, to obtain an optimized universal model. That is, in the present invention, the terminal device further optimizes, according to the collected local samples, the universal model received from the server to obtain a relatively personalized model applicable to pattern recognition.

Abstract: A method and an apparatus for converting a speech-to-text in a multiparty call. Receiving speech-to-text requests sent by at least two terminals, where the speech-to-text requests include a first identifier and a second identifier; allocating a session to the at least two terminals, so that in the speech-to-text requests sent by the at least two terminals, terminals that have a same first identifier or a same second identifier have a same session; receiving, by using a packet-switched domain, a voice stream whose sampling rate is greater than 8 KHz and that is sent by at least one terminal in one multiparty call, where the multiparty call corresponds to one session; converting the voice stream into a text; and sending the text to a terminal in the multiparty call.

Abstract: Embodiments of this application provide a recommendation method applied to a terminal, where the terminal includes a rule platform with system-level permission, and the rule platform is configured to save system resources and remind a user of a function of an application. The method includes: obtaining, by the rule platform, a first event; obtaining, by the rule platform, at least one rule related to the first event from a rule base, where the rule platform includes the rule base, the rule base includes at least one rule, each rule includes at least one condition; updating, by the rule platform, a matching status of a first condition corresponding to the first event in the at least one rule related to the first event; and when a matching status of each condition in a first rule indicates that matching is successful, displaying, by the terminal, a recommendation result corresponding to the first rule, where the first rule is one of the at least one rule related to the first event.

Abstract: A user profile generation method and a terminal. The terminal includes a user profile platform and a first application. The method includes: receiving, by the user profile platform, a first request sent by the first application, where the first request is used to request a current user profile; obtaining, by the user profile platform based on the first request, a first user profile type required by the first application; in response to the first request, obtaining, by the user profile platform according to a user profile model, a current user profile corresponding to the first user profile type, where the user profile model is included in the user profile platform; and sending, by the user profile platform, the obtained current user profile to the first application.

Abstract: A method is provided that includes: displaying, by the terminal, a randomly generated dynamic password on a display interface, and starting a voice receiving device of the terminal; obtaining by using the voice receiving device, voice information when a user reads the dynamic password, converting the voice information into a text password, and extracting a voiceprint feature of the voice information; and when the text password is the same as the dynamic password, determining terminal usage permission of the user according to a prestored correspondence between terminal usage permission and a voiceprint feature, and setting the display interface to an unlocked or locked state according to the determined terminal usage permission; or setting the display interface to a locked state when the text password is different from the dynamic password.

Abstract: Embodiments of the present invention relate to a method and an apparatus for optimizing a model applicable to pattern recognition, and a terminal device. The terminal device receives a universal model delivered by a server, where the universal model includes an original feature parameter; recognizes target information by using the universal model, and collects a plurality of local samples; when a model optimization condition is met, corrects the original feature parameter by using a first training algorithm to obtain a new feature parameter; and optimizes the universal model according to a second training algorithm and the new feature parameter, to obtain an optimized universal model. That is, in the present invention, the terminal device further optimizes, according to the collected local samples, the universal model received from the server to obtain a relatively personalized model applicable to pattern recognition.

Abstract: An image recognition method and a terminal, where the method includes obtaining, by the terminal, an image file including a target object recognizing, by the terminal, the target object based on an image recognition model in the terminal using a neural network computation apparatus in the terminal to obtain object category information of the target object, and storing, by the terminal, the object category information in the image file as first label information of the target object. Hence, image recognition efficiency of the terminal can be improved, and privacy of a terminal user can be effectively protected.

Abstract: An information processing method and apparatus in the field of mobile communications technologies is provided. In the method, a first terminal obtains, during a call with a second terminal by using voice information sent by the second terminal, to-be-obtained information and object information of an object to which the to-be-obtained information belongs. The first terminal determines at least one category to which the to-be-obtained information belongs and determines a group that is in any category of the at least one category and corresponding to the object to which the to-be-obtained information belongs. The first terminal searches information in the corresponding group in any category for target information associated with the object information and processes the target information with no manual searching being performed.

Abstract: A data processing method and device, where the method includes obtaining a usage frequency value of software, compressing a target file of the software to obtain a compressed file when the usage frequency value is less than a preset usage frequency value, receiving a startup instruction for starting the software, querying the compressed file of the software, and decompressing the compressed file using a high priority process to obtain the target file, where the high-priority process is performed as an essential highest-priority process relative to another process, and starting the software based on the target file.

Abstract: A method and an apparatus for converting a speech-to-text in a multiparty call. Receiving speech-to-text requests sent by at least two terminals, where the speech-to-text requests include a first identifier and a second identifier; allocating a session to the at least two terminals, so that in the speech-to-text requests sent by the at least two terminals, terminals that have a same first identifier or a same second identifier have a same session; receiving, by using a packet-switched domain, a voice stream whose sampling rate is greater than 8 KHz and that is sent by at least one terminal in one multiparty call, where the multiparty call corresponds to one session; converting the voice stream into a text; and sending the text to a terminal in the multiparty call.

Abstract: An information processing method and apparatus in the field of mobile communications technologies is provided. In the method, a first terminal obtains, during a call with a second terminal by using voice information sent by the second terminal, to-be-obtained information and object information of an object to which the to-be-obtained information belongs. The first terminal determines at least one category to which the to-be-obtained information belongs and determines a group that is in any category of the at least one category and corresponding to the object to which the to-be-obtained information belongs. The first terminal searches information in the corresponding group in any category for target information associated with the object information and processes the target information with no manual searching being performed.

Abstract: The present invention provides an apparatus and a method for improving terminal security to improve security of a terminal. The method in the present invention includes: displaying, by the terminal, a randomly generated dynamic password on a display interface, and starting a voice receiving device of the terminal; obtaining by using the voice receiving device, voice information when a user reads the dynamic password, converting the voice information into a text password, and extracting a voiceprint feature of the voice information; and when the text password is the same as the dynamic password, determining terminal usage permission of the user according to a prestored correspondence between terminal usage permission and a voiceprint feature, and setting the display interface to an unlocked or locked state according to the determined terminal usage permission; or setting the display interface to a locked state when the text password is different from the dynamic password.