The development of individual respiratory protection (masks) during a coronavirus pandemic is relevant. Modern technologies of design and manufacture allow creating masks taking into account individual anatomical features of the person. The paper considers different types of construction of protective masks. It is necessary to create masks taking into account the anatomical features of the person. To address this issue, various countries are holding competitions to create a new generation of masks, such as the Mask Innovation Challenge in the United States. We offer creation of a protective mask with use of modern computer technologies on the basis of information model. The general approach and an option of practical realization of creation of a mask taking into account individual features of the person are considered. The information model has 5 main stages of creating a protective mask. To create a model of the human head, the method of photogrammetry is used, when its three-dimensional model is formed from two-dimensional photographs. On the surface of the head model in the program Autodesk 3DS Max created the basis of the mask frame using retopology technology. Then a three-dimensional solid model of the mask frame was developed, which was tested for mechanical loads when changing facial expressions. The creation of a solid model of the mask frame and simulation of mechanical loads were carried out in the program Autodesk Fusion 360. Fabrication of the supporting frame of the mask using additive technology is simulated. As a result, a mask is created using a replaceable multilayer filter. A further development of the work is the design of a reusable mask using different types of filters.

g. This paper considers the impact of Internet of Things traffic, which is formed by monitoring and control systems or other systems, when the properties of this traffic are described by the properties of the regular flow. The impact of this traffic on such key QoS indicators as data delivery delay and probability of loss is estimated. As a model of communication network the system of queuing (SMO) with the combined discipline of service is considered. The analysis of trends in the development of the infocommunication system shows that the share of IP traffic in promising communication networks will significantly increase, which will lead to its impact on the quality of service .Given that the traffic in the network will also include telemetry traffic, this impact can have a significant impact on the quality of its service. Modern AD-HOC networks are based on the principle of “averaging”. According to statistics, many data streams with random variations in density will result in some average traffic. However, this approach does not work in networks prone to strong peak emissions. Such peculiar, time-localized “congestions” cause significant packet losses, even when the total demand of all flows is far from the maximum allowable values. This negatively affects the efficiency of network bandwidth utilization. The classical Poisson model of traffic, which was used in the design of network protocols, does not reflect the real reality: the data of real network traffic have the property of self-similarity.