Research of the factorial knowledge assessment paradigm efficiency illustrated by an example of testing students in the automatic control theory

An algorithm for constructing test materials and the test results evaluation techniques that allow combining high estimate rate and test objectivity are developed. The test system in this case can be considered as an assessment tool for the knowledge level under investigating the appropriate modules. The decomposition of knowledge into lots of sections is conducted for the knowledge systematization. At that, each section is associated to a set of sub-sections which, in turn, consists of a subset of questions, the answers to which reveal the level of knowledge of each section. The test assignment is formulated in such a way that upon answer, a set of responses revealing the knowledge level of a certain subsection is to be given. Since the test development process is considered as a construction of multivariable dependence, it is proposed to approach the problem from the perspective of planning multifactor experiments. In this case, a set of answers is presented as a set of factors taking on certain values. With their varying on two levels, the problem is reduced to the construction of the experiment that implements all possible combinations of factors, i.e. to a complete factorial experiment. The technique of applying the technology of two-level multifactor experiment planning that allows formalizing the evaluation of partially incomplete knowledge, and implementing the formation of the multifactor tests of different kinds of complexity is offered. To illustrate this technique, the examples of the construction of tests for the discipline “Automatic control theory” assessing the degree of the knowledge level formation are considered. The statistical analysis of the test results has shown the knowledge level of the testees, as well as the credibility of this knowledge

Formalization of dynamic model of pneumatic drive with variable structure

The work is devoted to solving the actual technical problem of increasing the speed and accuracy of pneumatic servo drives. Pneumatic drives have a large number of advantages (high speed of the output link, environmental friendliness, low cost, etc.). But having a high compressibility of compressed air limits the possibility of realizing optimal trajectories of motion of control objects. The complexity in the organization of controlling the follow-up pneumatic drive is also introduced by a mathematical apparatus that takes into account the thermodynamic processes during the filling and emptying of the working cavities of a pneumatic cylinder. In connection with this, the goal of this work was the development of a mathematical model of a servomotor with a variable structure that takes into account the various structures of pneumatic valves with proportional control. The proposed mathematical model will make it possible to use the synergetic approach in controlling the pneumatic drive. This makes it possible to take into account not less important drive parameters such as energy efficiency, etc., with increasing speed and accuracy of the drive

Formalization of dynamic model of pneumatic drive with variable structure

The work is devoted to solving the actual technical problem of increasing the speed and accuracy of pneumatic servo drives. Pneumatic drives have a large number of advantages (high speed of the output link, environmental friendliness, low cost, etc.). But having a high compressibility of compressed air limits the possibility of realizing optimal trajectories of motion of control objects. The complexity in the organization of controlling the follow-up pneumatic drive is also introduced by a mathematical apparatus that takes into account the thermodynamic processes during the filling and emptying of the working cavities of a pneumatic cylinder. In connection with this, the goal of this work was the development of a mathematical model of a servomotor with a variable structure that takes into account the various structures of pneumatic valves with proportional control. The proposed mathematical model will make it possible to use the synergetic approach in controlling the pneumatic drive. This makes it possible to take into account not less important drive parameters such as energy efficiency, etc., with increasing speed and accuracy of the drive

Visual gamma oscillations predict sensory sensitivity in females as they do in males

Abstract Gamma oscillations are driven by local cortical excitatory (E)–inhibitory (I) loops and may help to characterize neural processing involving excitatory-inhibitory interactions. In the visual cortex reliable gamma oscillations can be recorded with magnetoencephalography (MEG) in the majority of individuals, which makes visual gamma an attractive candidate for biomarkers of brain disorders associated with E/I imbalance. Little is known, however, about if/how these oscillations reflect individual differences in neural excitability and associated sensory/perceptual phenomena. The power of visual gamma response (GR) changes nonlinearly with increasing stimulation intensity: it increases with transition from static to slowly drifting high-contrast grating and then attenuates with further increase in the drift rate. In a recent MEG study we found that the GR attenuation predicted sensitivity to sensory stimuli in everyday life in neurotypical adult men and in men with autism spectrum disorders. Here, we replicated these results in neurotypical female participants. The GR enhancement with transition from static to slowly drifting grating did not correlate significantly with the sensory sensitivity measures. These findings suggest that weak velocity-related attenuation of the GR is a reliable neural concomitant of visual hypersensitivity and that the degree of GR attenuation may provide useful information about E/I balance in the visual cortex