Abstract: A control method of a driving mechanism is provided, including: the driving mechanism provides a first electrical signal from a control assembly to the driving mechanism to move the movable portion into an initial position relative to the fixed portion, wherein the control assembly includes a control unit and a position sensing unit; the status signal of an inertia sensing unit is read; the control unit sends the status signal to the control unit to calculate a target position; the control unit provides a second electrical signal to the driving assembly according to the target position for driving the driving assembly; a position signal is sent from the position sensing unit to the control unit; the control unit provides a third electric signal to the driving assembly to drive the driving assembly according the position signal.

Abstract: A protection circuit, applied to a flash memory including a power supply pin, includes a capacitor and a switch. A power supply provides a reference voltage. The capacitor is electrically connected to the power supply pin and a ground point. The switch is electrically connected between the power supply pin and the power supply. When the reference voltage is higher than a threshold voltage, the switch is turned on, such that the reference voltage is inputted into the power pin via the switch. When the reference voltage is lower than the threshold voltage, the switch is turned off.

Abstract: A method to generate dialogue manager (DM) is provided, in which a plurality DMs with the same purpose but having different dialogue acts is automatically generated according to a DM designed by a designer. An automatic aiding tool facilitates the design of a dialogue flow and the adjustment of DM rules, and also helps a system designer to find out potential problems in the original DM. The method adopts the current DM combined with a user simulation technique and further employs a specially designed scoring function, so as to automatically generate a plurality of new DMs. The new DMs achieve the same dialogue purpose as the original DM, but differ from the original DM in system acts and responses during the dialogue process. The dialogue flow of the dialogue system is enhanced, and meanwhile, the design and improvement of the DM are also accelerated.

Abstract: A recommendation method and a recommender computer system using dynamic language model are provided. The recommender computer system using dynamic language model includes a language model constructing computer module, a language model adapting computer module, a sentence selecting computer module and a sentence recommendation computer module. The language model constructing computer module is used for constructing a language model. The language model adapting computer module is used for dynamically emerging different language models to construct a dynamic language model. The sentence selecting computer module generates a plurality of recommended sentences from a database according to a search keyword. The sentence recommendation computer module analyzes the difference level between the recommended sentences and the dynamic language model and sorts recommended sentences to provide a recommendation list.

Abstract: Disclosed is directed an apparatus and method to reduce recognition errors through context relations among multiple dialogue turns. The apparatus includes a rule set storage unit having a rule set containing one or more rules, an evolutionary rule generation module connected to the rule storage unit, and a rule trigger unit connected to the rule storage unit. The rule set uses dialogue turn as a unit for the information described by each rule. The method analyzes a dialogue history through an evolutionary massive parallelism approach to get a rule set describing the context relation among dialogue turns. Based on the rule set and recognition result of an ASR system, it reevaluates the recognition result, and measures the confidence measure of the reevaluated recognition result. After each successful dialogue turn, the rule set is dynamically adapted.

Abstract: A method to generate dialogue manager (DM) is provided, in which a plurality DMs with the same purpose but having different dialogue acts is automatically generated according to a DM designed by a designer. An automatic aiding tool facilitates the design of a dialogue flow and the adjustment of DM rules, and also helps a system designer to find out potential problems in the original DM. The method adopts the current DM combined with a user simulation technique and further employs a specially designed scoring function, so as to automatically generate a plurality of new DMs. The new DMs achieve the same dialogue purpose as the original DM, but differ from the original DM in system acts and responses during the dialogue process. The dialogue flow of the dialogue system is enhanced, and meanwhile, the design and improvement of the DM are also accelerated.

Abstract: Disclosed is directed an apparatus and method to reduce recognition errors through context relations among multiple dialogue turns. The apparatus includes a rule set storage unit having a rule set containing one or more rules, an evolutionary rule generation module connected to the rule storage unit, and a rule trigger unit connected to the rule storage unit. The rule set uses dialogue turn as a unit for the information described by each rule. The method analyzes a dialogue history through an evolutionary massive parallelism approach to get a rule set describing the context relation among dialogue turns. Based on the rule set and recognition result of an ASR system, it reevaluates the recognition result, and measures the confidence measure of the reevaluated recognition result. After each successful dialogue turn, the rule set is dynamically adapted.