Archives of historical photographs have a great potential for "geo-or spatial sciences", for they can provide highly relevant visual data on historical landscapes, populated places and settlement structures, including those now destroyed. Processing of these archives represents many challenges, among them the application of geoinformatic concepts and information technologies. The article presents the example of geo-referencing, crowdsourcing, and other computer-based technologies applied to the archival photographs of today-destroyed sites on the Czech -Bavarian border, where many villages, farm sites and monuments were destroyed in the 1950s or abandoned as a consequence of post-WWII development. In the situation of dramatically changing landscape and land use, historical photographs are an important source of documentation for both research and virtual reconstruction of disappeared places, landscape, and society.
This contribution discusses algorithms for strong authentication of applications in mobile devices. The current LTE and IMS networks provide strong authentication using USIM smart cards based on AKA algorithm. The problem of this authentication is that this authentication is under the sole control of Telco operators. We can expect that more applications will be placed into the IMS environment in the future. These applications will be based either on SIP (video on demand etc.) or HTTP-based protocols (e.g. as government applications or banking applications etc.). They will be provided not only by Telco operators, but also especially by independent third parties -application (content) providers (e.g. government, banks etc.). This contribution proposes new authentication algorithms that combine AKA algorithm with other authentication algorithms. Therefore, the authentication is not under the sole control of Telco operators, still using strong authentication AKA protocol.
The problem of building a mathematical model of the dynamics of nitrogen dioxide concentrations at different parts of the city is considered in the paper. The peculiarities of the construction of such models on the basis of periodic measurement of concentrations of harmful substances and identification on the basis of the measurements obtained are considered. This paper also proposes an ontological approach as a control tool that greatly simplifies the systematic standardized methods of the models storage, the process of their construction and appropriate usage in practice. The use of the ontological model allows formalizing the process of obtaining, storing and using relevant knowledge and is suitable for more intelligent systems, such as identification of obviously erroneous solutions based on the model, predictive control of the model, optimization of the decision-making process based on knowledge and modeling of an appropriate technological flow chart. This paper also describes the features of the construction of the corresponding ontological model, the pattern of choice of a nonlinear model with "switching" to different conditions. Relevant experimental studies have also been conducted to confirm the effectiveness of the proposed approach.
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