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In this paper, the development of Extensible Markup Language (XML) schema of newly proposed Human body description format (HBDF) is proposed and further, the software and hardware solution for processing and acquiring the anthropometric parameters of the human body is presented. The analysis covers information on the HBDF format and specific measurement procedures that are associated with the format and together form a coherent structure for the recording of such data. The structure of the format itself is implemented as XML schema, determining the content of XML outputs. Experimental software solution is designed and proves valid in the examination of HBDF structure. The experimental hardware is proposed to introduce new approach to measurement using the physical real-world device. Proposed hardware solution also implements HBDF structure. Schema ensures the data coherency and integrity,while the proposed solution ensures the import, operation, and export of data. The XML schema was experimentally tested as a part of multiple research projects.

The broad goal of this study is the estimation of dimensions of real-world multidimensional objects. The focus is on the human being and its dimensional parameters, primarily the height. The approach to the estimation of the height in a single camera environment is presented and is experimentally verified. The proposed method presumes that the distance from the optical device to the human body and its Vertical Field of View (VFOV) are known. The VFOV has to be calculated or acquired only once for a specific device. The accuracy of the proposed method is validated by a series of test scenarios including, e.g., statistical height measurements.

This article deals with the implementation and experimental verification of the suitability of the TinyIPFIX protocol for data transmission in the Internet of Things environment. The work was devoted to the creation of three main components, namely TinyIPFIX exporter, collector, and mediator. The implementation of these tools made it possible to extend the possibility of monitoring a common network with an IoT environment. The experiments confirmed the success of the implementation of the protocol based on standards and pointed out the suitability of the implementation of the TinyIPFIX protocol mainly due to its optimized processes, which save up to 72% of bandwidth consumption compared to the IPFIX protocol when transmitting one data unit. Thanks to the modular approach during implementation, it is possible to deploy the protocol in the environment regardless of the transport technology. The created solution can therefore also be used in UAV sensor networks. [ABSTRACT FROM AUTHOR]

The aim of the research is the proposal and experimental implementation of a solution based on Raspberry Pi that is to allow face recognition with subsequent user notification. Proposal of whole system discusses the possible negative factors that can endanger functionality of the system. Once the face is recognized or not recognized, the message is sent to the administrator and access is permitted or denied. This represents the elevated level of system hardening. The system in this research is built on histogram of oriented gradients (HOG) and neural network (NN). Testing of the software system solution has been also carried out and proves the usability with detection and recognitions rates above 90%. The implemented system may be used as a part of complex IoT (Internet of Things) security solution. [ABSTRACT FROM AUTHOR]