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1389 results about "Breaking point" patented technology

Self-upgrade method for equipment in remote online monitoring system

The invention belongs to the field of wireless communication, and particularly relates to a self-upgrade method for equipment in a remote online monitoring system. The method is characterized in that: each piece of terminal equipment performs self-upgrade and self-maintenance through the remote online monitoring system consisting of a terminal table tool, a data acquisition unit and a background server based on a GPRS (General Packet Radio Service). The method mainly comprises the following steps that: the background server manages an application program and version information; the data acquisition unit periodically inquires a version log and downloads a new version program; the data acquisition unit realizes self-upgrade and upgrades the terminal table tool; and after the new version program is updated successfully, skipping is performed and an old version program is still kept for later use. In the method, the GPRS, storage space management, a file sub-package mechanism, a transmission response mechanism, a mode for continuous transmission at break-points and an IAP (Internet Access Provider) program programming mode are combined, and the accuracy and reliability of data transmission are ensured; and under the condition of not influencing normal use of a user, the equipment upgrading and maintaining problems of large quantity and wide distribution are solved quickly and efficiently.
Owner:杭州先锋电子技术股份有限公司

Automatic grading method and automatic grading equipment for read questions in test of spoken English

ActiveCN103065626ADoes not deviate from human scoringSpeech recognitionTeaching apparatusSpoken languageAlgorithm
The invention provides an automatic grading method and automatic grading equipment for read questions in a test of spoken English. According to the automatic grading method, preprocessing is carried out on input voice; the preprocessing comprises framing processing; phonetic feature is extracted from the preprocessed voice; by means of a linear grammar network and an acoustic model set up by reading texts, phonetic feature vector order is forcedly aligned to acquire information of the each break point of each phoneme; according to the information of the each break point of each phoneme, the posterior probability of each phoneme is calculated; based on the posterior probability of each phoneme, multi-dimensional grading characteristics are extracted; and based on the grading characteristics and manual grading information, a nonlinear regression model is trained by means of a support vector regression method, so that the nonlinear regression model is utilized to grade on reading of spoken English. The grading model is trained by means of expert scoring data, and therefore a result of machining grading is guaranteed not to deviate from a manual grading result in statistics, and the high simulation of a computer on the expert grading is achieved.
Owner:INST OF ACOUSTICS CHINESE ACAD OF SCI +1
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