Analysis of training accompaniment needs through prediction models assisted by machine learning

The purpose of this study is to analyze tendencies in the needs of students in accompaniment in a perspective of prediction of the measures to be taken during the training. This approach consists in measuring, with adapted prediction models, the tendencies of accompaniment needs in three areas of competence of the training: competencies practices, written competencies and oral competencies. To this end, the accuracy of the models in these three areas of competence must be verified in order to classify their prediction parameters. In a first step we used data modeling of machine learning with data partitioning, 70% learning, 30% testing of all data. Then we compared the predictive models (SVM, Neural Network, Bayasian Network, CART, CHAID, C5) using the global precision index. This allowed us to select the best model based on its accuracy performance in the three areas of expertise already mentioned.

Effect of the Sowing Speed on the Distribution Regularity of Maize Seeds

This work aimed to evaluate the influence of the sowing speed on the regularity of longitudinal distribution of maize seeds through a pneumatic metering seeder. The experimentation of 4 sowing speeds (4, 6, 8 and 10 km h-1) was performed in randomized blocks design with four replicates. The parameters evaluated were the mean distance between plants, coefficient of variation of the distance between plants, percentage of acceptable, flawed and double spacings, precision index, plant stand, initial population, mean seed deposition depth, and coefficient of variation of the seed deposition depth. The increase in the operating speed linearly reduced the percentage of acceptable spacings, plant stand, initial population, and mean seed deposition depth. Conversely, it linearly increased the values of mean distance between plants, coefficient of variation of the distance between plants, percentage of double and flawed spacings, precision index, and coefficient of variation of the deposition depth. Therefore, the increase in the displacement speed of the tractor-seeder set reduced the regularity of the longitudinal distribution of the plants, as well as the sowing quality.

Online_DPI: a web server to calculate the diffraction precision index for a protein structure

An online computing server,Online_DPI(where DPI denotes the diffraction precision index), has been created to calculate the `Cruickshank DPI' value for a given three-dimensional protein or macromolecular structure. It also estimates the atomic coordinate error for all the atoms available in the structure. It is an easy-to-use web server that enables users to visualize the computed values dynamically on the client machine. Users can provide the Protein Data Bank (PDB) identification code or upload the three-dimensional atomic coordinates from the client machine. The computed DPI value for the structure and the atomic coordinate errors for all the atoms are included in the revised PDB file. Further, users can graphically view the atomic coordinate error along with `temperature factors' (i.e.atomic displacement parameters). In addition, the computing engine is interfaced with an up-to-date local copy of the Protein Data Bank. New entries are updated every week, and thus users can access all the structures available in the Protein Data Bank. The computing engine is freely accessible online at http://cluster.physics.iisc.ernet.in/dpi/.

Application of Image-Pro Plus in the Groove Filter Rod Characteristic Parameters Measurement

Basing on the Image-Pro plus (IPP) technique, a kind of groove filter rod characteristic parameters (such as groove depth, channel ventilation area, number of grooves) measurement system was build. Method: put 5 groups of standard channel ventilation area-known groove rods and 10 pre-cut self-made groove filters under the microscope with the groove sides up, adjust the intensity of the light and the focal length, take the pictures of all. Use IPP to measure all the parameters, and MINTAB to analyze the accuracy and precision of the IPP system. Results: (1) the IPP system is convenient to operate, easy to use and fast to measure the characteristic parameters such as channel ventilation areas, groove depth as well as groove numbers of the groove filters. (2) the measurements for the channel ventilation area, groove depth doesn't exist linear bias. The channel ventilation area precision index GageR&R = 24.66 < 30, and groove depth precision index GageR&R = 26.40 < 30, which means measurement precision is good.( 3)The manual measurement mode and automatic measurement mode of IPP system in regard to the measurement results bear no significant difference (P > 0.05), and can be chosen for different needs. The measuring method provides help in the research of groove filters rod’ tar-reducing mechanism as well as in the increase of production process control capacity.

Computing Method of Auto-Rotated Precision Index of Gun Barrel Based on Exterior Ballistic Computation

Auto-rotated precision of gun barrel is a key operation of firing, and the research of its testing method should depend on its index computing. According to discrete value in the firing table and the exterior ballistic computation based on least square polynomial fit method, the mapping function between battle sight and range dispersion was confirmed. And by analyzing the effect of offset induced by auto-rotated precision of gun barrel, the index function which could offer a data origination for the verification of testing method of auto-rotated precision of gun barrel was provided.

Conflict Resolution Strategy on Parameters Optimization in BTA Deep-Hole Processing

Conflict resolution is proposed for BTA boring based on optimization algorithm in this paper, which is capable of finding the bottleneck of value assignment by taking advantages of redundant extensibility in the range of constraint parameters. It can realize the optimum precision index of manufactured component with the minimal loss parameter interval, which is through establishing the relaxation model for parameter range optimization considering strategy of conflict resolution. The potential conflict in technical plan can be detected at the beginning of parameter selection accompanied with the constraint consistency algorithm. The conflict resolution strategy can implement effectively for the range of quantitative parameters. The bottleneck restricting the values can be found by taking the advantages of the redundant expandability of constraint parameters ranges, to realize the optimum processing precision index for components at the lowest loss of parameters ranges. At last, the calculation case verifies the effectiveness of the research methods.