38results about How to "Exclude subjective factors" patented technology

Disclosed is a method for the detection and quantification of defects in transparent substrates and, more particularly, in glass sheets. The method comprises providing a transparent planar substrate having a top surface and a bottom surface. The surface topography of at least a portion of the top surface of the provide transparent planar substrate is measured to obtain a three dimensional top surface profile having a sub-nanometer level of precision. From the three dimensional surface profile measurement, the existence of one or more surface variations in the three dimensional surface profilehaving an amplitude greater than a predetermined tolerance can be identified and / or quantified.

The invention discloses a spectrum wave number selection method. Correction samples are randomly sampled many times according to wave numbers of spectra, a partial least square regression model is built, a variable projection importance coefficient of each wave number is calculated, the variable projection importance coefficients are sequenced in a descending mode, wave number sets corresponding to the distribution sequence are obtained, the re-sequenced wave number sets are subjected to wave number screening step by step, a result of each time of wave number selection is calculated, and a wave number primary selection set is obtained; then, absolute values of a partial least square regression coefficient of each wave number in the wave number primary selection sets is counted and correspondingly processed, the processed partial least square regression coefficients are sequenced in a descending mode, a corresponding wave number distribution sequence is recorded, then a strategy for reversely eliminating wake-correlation wave numbers is adopted, and the optimal feature wave number set is obtained. The method can fully mine effective information in wave numbers, effectively solves the subjectivity problem of wave number selection, extracts feature wave numbers to the largest extent, eliminates influences of weak correlation factors, and remarkably improves robustness and precision of the model.

The invention discloses a method for efficiently processing song volume equalization, which comprises the following steps of: 1, obtaining a song sample library, extracting audio data of each song inthe song sample library, and then calculating to obtain an average value of the audio volume of each song; measuring the volume of each song according to the average value of the song audio volume; step 2, obtaining a volume equalization standard value M or a range of M; and step 3, carrying out volume equalization. The volume detection method is simple and visual; the detection speed is high, batch and automation of the equalization processing process are realized, simultaneous deployment and cooperative work can be performed on multiple computers, the speed is high, the equalization result is standardized, the original sound and accompaniment volumes of the same song are unified, the left and right audio track volumes of the original sound or accompaniment are unified, artificial subjective factors are eliminated, and the song music quality is not influenced.