Изотопный состав и радиационные характеристики отработавшего топливного блока ВТГР

В ходе настоящих исследований создана расчетная модель эквивалентной ячейки ВГТРУ, а также трехмерная модель топливного блока для определения радиационных характеристик ОЯТ ВГТРУ. В численных экспериментах выполнен расчет изотопного состава ОЯТ топливного блока ВГТРУ. Проведена расчетная оценка функционалов необходимых для разработки процедур и регламентов обращения с ОЯТ в ЯТЦ нового поколения.In this work a computational 3-D model of core cell and fuel block of HGTRU were created. In numerical experiments, the isotopic composition of SNF of the HGTRU fuel block was calculated. A calculation estimation of the functionals necessary for the development of procedures and regulations for the management of SNF in a new generation nuclear fuel cycle was carried out. The most important for the development of procedures and regulations for the SNF management in a nuclear fuel cycle of new generation neutron and gamma flux functionals were calculated

Исследование параметров плазмы реактивного магнетронного разряда с помощью зонда Ленгмюра

One of the most prospective methods of making the biocompatible coatings is reactive magnetron sputtering. It allows obtaining coatings with well controllable chemical composition. In order to control magnetron plasma parametersa Langmuir probe is widely used. A method for probe data processing has been developed. It includes raw data averaging and least-square methods for determining of plasma parameters such as electron temperature and ion density. The averaging is used in order to reduce an impact of data oscillations caused by proximity of probe and discharge frequencies. Using the method, plasma discharge parameters dependence on reactive gas mixture type has been investigated

Detection of Typical Compensatory Movements during Autonomously Performed Exercises Preventing Low Back Pain (LBP)

With the growing number of people seeking medical advice due to low back pain (LBP), individualised physiotherapeutic rehabilitation is becoming increasingly relevant. Thirty volunteers were asked to perform three typical LBP rehabilitation exercises (Prone-Rocking, Bird-Dog and Rowing) in two categories: clinically prescribed exercise (CPE) and typical compensatory movement (TCM). Three inertial sensors were used to detect the movement of the back during exercise performance and thus generate a dataset that is used to develop an algorithm that detects typical compensatory movements in autonomously performed LBP exercises. The best feature combinations out of 50 derived features displaying the highest capacity to differentiate between CPE and TCM in each exercise were determined. For classifying exercise movements as CPE or TCM, a binary decision tree was trained with the best performing features. The results showed that the trained classifier is able to distinguish CPE from TCM in Bird-Dog, Prone-Rocking and Rowing with up to 97.7% (Head Sensor, one feature), 98.9% (Upper back Sensor, one feature) and 80.5% (Upper back Sensor, two features) using only one sensor. Thus, as a proof-of-concept, the introduced classification models can be used to detect typical compensatory movements in autonomously performed LBP exercises