37results about How to "Involving a wide range" patented technology

The invention relates to a method for evaluating the operation state of a gateway electrical energy metering device, and the method is characterized in that the method comprises the following steps: 1) collecting the raw data of an on-site gateway electrical energy metering device through a remote metering device on-line monitoring system, and uploading the raw data to a data server of an upper PC; 2) classifying the raw data through the upper PC, and building a mathematic model of operation evaluation of the gateway electrical energy metering device according to the classified raw data; 3) carrying out the grade evaluation of the operation state of the gateway electrical energy metering device according to the built mathematic model of operation evaluation of the gateway electrical energy metering device, building an operation evaluation system for the gateway electrical energy metering device, predicting the operation tendency of the gateway electrical energy metering device according to the operation evaluation system for the gateway electrical energy metering device, and carrying out early warning. Compared with the prior art, the method is scientific and reasonable, is large in specific number of research objects, covers a wide range, is systematized, and is intelligent.

The invention discloses a vocal integrated training system The vocal integrated training system comprises a sound collection module, a throat position detection module, a respiratory frequency acquisition module, a characteristic signal acquisition module, a data processing module, a pitch beat extraction module, an overtone feature extraction module, a note pitch and note time value modeling module, a music score generation module, a singing skill primary evaluation module, a singing skill comprehensive evaluation module, an integrated training program output module, a mathematical modeling module, a virtual parameter action module, a virtual sensor, and a simulation analysis module. The training system realizes the automatic acquisition and evaluation of the data in the whole vocal training process, can complete training and detection analysis of the conditions of position and stability of the throat, tone quality of the sound, audio penetration, overtone utilization, holding of the pronunciation in the utterance, high and low bass standard, and breathing control in one step, and obtains a targeted training program, thereby realizing the individualized quality education in the real sense.

The invention discloses a performance predicting method for a software system based on a UML (Unified Modeling Language) architecture. The performance predicting method comprises the following steps: firstly, establishing a UML model of the software system; adding a stereotype and a marking value on a UML diagram and enabling the stereotype and the marking value to be converted into the UML diagram with labels to generate a UMLSPT (Unified Modeling Language Subsystem Parameter Table) model; generating a queue network model algorithm and a queue network model by using the UML model; and finally, calculating to obtain a software performance parameter value according to a solving method of the queue network module performance parameter and realizing the prediction of software performances. According to the software performance predicting method provided by the invention, a user can solve the performance index of the software by establishing the UML model of the software system and adding the stereotype and the marking value and enabling the stereotype and the marking value to become the UMLSPT model. Therefore, the complexity of software performance prediction is greatly reduced and the development efficiency of the software is improved.

The invention discloses a singing skill detection system for vocal music teaching. The singing skill detection system comprises a sound acquisition module, a throat position detection module, a characteristic signal acquisition module, a data processing module, a sound processing module, a pitch extractor, a beat extractor, an overtone feature extraction module , a note pitch and note value model construction module, a singing skill primary evaluation module, a singing skill comprehensive evaluation module, an expert decision-making module, and a central processor. The singing skill detection system completes data acquisition and evaluation during an entire singing skill detection process based on a computer system, is high in automation level, and wide in coverage. The throat position and stability, tone quality, audio penetration, overtone utilization and pronunciation retaining in singing can be detected and analyzed in one time, thereby providing a targeted training scheme.