Study on Chinese Retired Athletes Job Placement Countermeasure Based on Bayes Discriminant Analysis Classification Method

As Chinese Olympic Games, National Games these large-scale sports meetings are now behind us; retirement situation of a group of senior athletes also becomes prevalent. Therefore, the paper carries out specific research on employment situation of Chinese retired athletes. The paper investigates retired athletes’ current situations, and makes comparative analysis, finds that though Chinese retired athletes has acquired some subsidies materially, their life demands cannot be fully satisfied; evaluate on Chinese retired athletes comprehensive quality by discriminant analysis and comprehensive evaluation approach, think that Chinese athletes professional levels are very high but social skills and learning capacity in comprehensive quality are still to be improved, therefore suggest to arrange athletes of rather excellent techniques to participate in cultivation of teenager athlete; present relative opinions on Chinese future retired athletes’ allocation, which is the protection of Chinese vulnerable groups in the background of harmonious development of Chinese socialism so that Chinese society can balanced, coordinated and sustainable move forward.

Statistical Analyses of Femur Parameters for Designing Anatomical Plates

Femur parameters are key prerequisites for scientifically designing anatomical plates. Meanwhile, individual differences in femurs present a challenge to design well-fitting anatomical plates. Therefore, to design anatomical plates more scientifically, analyses of femur parameters with statistical methods were performed in this study. The specific steps were as follows. First, taking eight anatomical femur parameters as variables, 100 femur samples were classified into three classes with factor analysis and Q-type cluster analysis. Second, based on the mean parameter values of the three classes of femurs, three sizes of average anatomical plates corresponding to the three classes of femurs were designed. Finally, based on Bayes discriminant analysis, a new femur could be assigned to the proper class. Thereafter, the average anatomical plate suitable for that new femur was selected from the three available sizes of plates. Experimental results showed that the classification of femurs was quite reasonable based on the anatomical aspects of the femurs. For instance, three sizes of condylar buttress plates were designed. Meanwhile, 20 new femurs are judged to which classes the femurs belong. Thereafter, suitable condylar buttress plates were determined and selected.

Study on Bayes Discriminant Analysis of EEG Data

Objective: In this paper, we have done Bayes Discriminant analysis to EEG data of experiment objects which are recorded impersonally come up with a relatively accurate method used in feature extraction and classification decisions. Methods: In accordance with the strength of α wave, the head electrodes are divided into four species. In use of part of 21 electrodes EEG data of 63 people, we have done Bayes Discriminant analysis to EEG data of six objects. Results in use of part of EEG data of 63 people, we have done Bayes Discriminant analysis, the electrode classification accuracy rates is 64.4%. Conclusions: Bayes Discriminant has higher prediction accuracy, EEG features (mainly α wave) extract more accurate. Bayes Discriminant would be better applied to the feature extraction and classification decisions of EEG data.