64 results about "Categorical analysis" patented technology

Authenticating an authentic article having an authentication mark. Acquiring a set of spectral images of the authentication mark, for forming a set of single-authentication mark spectral fingerprint data (FIG. 1). Identifying at least one spectral shift in the set of single-authentication mark spectral fingerprint data, for forming an intra-authentication mark physicochemical region group including sub-sets of intra-authentication mark spectral fingerprint pattern data, such that data elements in each sub-set are shifted relative to corresponding data elements in remaining sub-sets in the same intra-authentication mark physicochemical region group (FIG. 2). Forming a set of intra-authentication mark physicochemical properties and characteristics data relating to the imaged authentication mark, by performing pattern recognition and classification analysis on the intra-authentication mark physicochemical region group (FIG. 3). Comparing and matching elements in the set of intra-authentication mark physicochemical properties and characteristics data to corresponding reference elements in reference set of data, thereby authenticating the authentic article.

Methods and apparatus for use in complex genetics classification are disclosed. In one illustrative example, a method is performed using data from a sample population which includes counts of individuals in the sample population associated with both a particular diploid haplotype pair and a particular genetic trait class. A correspondence to analysis (COA) on the data from the sample population is performed (at least in part) so as to determine a first plurality of n-dimensional coordinates for each diploid haplotype pair and a second plurality of n-dimensional coordinates for each genetic trait class. A linear or quadratic classification analysis is then performed based on the first and the second pluralities of n-dimensional coordinates and diploid haplotype pairs of the at least two genes from an individual sample. Advantageously, the individual sample can be accurately classified into one of the genetic trait classes using the method.

The invention discloses a multi-dimensional IRT-based teachers teaching ability evaluation method. The evaluation method comprises the following steps: a step of information collection before teachersteaching evaluation, a step of collecting the students evaluation of the teachers classroom language teaching ability which is needed for teachers ability evaluation, a step of preparation for the teachers teaching evaluation, a step of classification analysis on teachers teaching ability, and a step of summarizing the teachers teaching evaluation. The beneficial effects of the method are that via multi-dimensional IRT-based teachers teaching ability evaluation method, comprehensive evaluation of the teachers teaching ability can be realized, operation is simple, the teachers teaching abilityis fully explored, influence exerted by human factors can be prevented, veracity of teachers teaching ability evaluation can be ensured, the method can help reduce the evaluation of teachers teaching, multi-faceted evaluation is adopted, the accuracy of the evaluation of teachers teaching ability can be improved, and evaluation of competent teachers can be facilitated.