Running is very popular among professional and amateur sportsmen. To achieve good training results it is necessary to evaluate training effectiveness. Running dynamics, as indicator for effectiveness measure, typically computed from heart rate and trajectory data. Available on market non-expensive devices do not provide enough accuracy and may not include all necessary sensors. In this paper, we discuss the prototype of the non-expensive system for computing running dynamics. The accurate and smooth trajectory is crucial to compute that characteristics with enough accuracy. In order to achieve it the new method of integration GSNS and IMU measurements is used.

The current state of the environment causes increasing concerns. At the same time, the tasks of economic development require expansion of industrial production, which in turn increases the burden on the environment. The solution to this contradiction is seen in using the best available technologies (BAT) as an economically more effective alternative to “green” technologies. Since the best available technologies do not involve the abandonment of the use of hazardous process substances, environmental monitoring systems that show the level of environmental contamination from them should be the most important concomitant element of these technologies. Solid-state chemical sensors can be used as the basis of such systems. To achieve high technical efficiency, the systems must be automatic or at least automated that will increase the level of public confidence in their work.