Problems of History, Politics and Culture of Abkhazia, Georgia

Th e ethno-political history of the Autonomous Region of Georgia – Abkhazia is spotlighted in the book, as well as the main ancient monuments belonging to Christian culture. According to the grounded opinion and conclusion the territory of modern Abkhazia from ethnic, political and cultural aspects has always been the Georgian Region, where the demographic changes occurred only in the late medieval centuries. Th e authors talk about the hybrid war of the years of 1992-1993 pursued by Russia against Georgia and the overt aggression of the same Russia in 2008. Th e humanistic catastrophe, occupation of Abkhazia as the outcome of the above mentioned war and the Geopolitical changes equally harmful for the Euro-Atlantic space are clearly shown in the book; Th e necessity of solving the permanent confl ict by means of peaceful methods with the support of the International Organizations is also given a strong emphasi

Use of serverless functions in the algorithm for calculating the target point of the trajectory under dynamic loading

Implemented architecture using server-free functions for the analysis of the exit to the target point of the trajectory of a swarm member in conditions of dynamic loading with lower energy consumption. Using the approach, implementing the mathematical apparatus of calculating the target point and validating the output at this point, in terms of the task allows more efficient use of energy at the synchronization node by 37.5%, and since the calculations are transferred to the cloud, costs in other parts energy consumption for data transmission. This allows you to significantly continue the work of the swarm in conditions of limited energy resources and increase the flight time of the swarm

Using IOT to synchronize drone flight paths

An analysis of the experience of reasoned use of drones in various fields of human activity and demonstrates the need to study the use of IoT architectures to build a control system for several drones. The paper considers the problems of increased requirements for computing power required for the analysis of photo / video sensor data. The use of "cloud sensor" technology is also proposed

Real-time video stream analysis based on Azure serverless services

An analysis of existing architectural solutions was carried out, taking into account the principle of cold/hot analysis of video streams based on various services. The obtained results made it possible to choose an architectural approach based on services[1], which allows for obtaining additional information about the state of the environment where the swarm executes the flight plan. The principle of modularity, optionality and the possibility of stopping the video flow analysis module without affecting the control module was implemented, which made it possible to increase the flexibility of the system's economic efficiency. The implemented mechanism of selective filtering of frames of video streams allows to reduce the load on the communication channel by 4 times, and the two-circuit approach to the analysis of the video stream allows for obtaining analysis data faster when using surface analysis and carrying out resource-intensive (in terms of time) analysis operations on the second circuit

Synchronization of flight trajectories based on the architecture of THE "Internet of Things" in the implementation of swarm management

An implemented approach using the architecture of the "Internet of Things" (IoT) [1] to solve the problem of loss of synchronization by members of the drone swarm when working out a determined flight plan at the same time. To synchronize the execution of trajectories, the proposed approach uses the analysis of telemetry data of each drone with a given discreteness as feedback swarm control. In addition, the basic requirements for the speed of feedback from drones and the impact of feedback time on the dynamics of swarm control, in general, are identified

Increasing the reliability of the communication channel between agents in a multi-agent environment based on Azure IoT services

An architectural approach is considered and proposed for increasing the reliability of the communication channel, which allows guaranteeing the delivery of messages in the middle of the system from each member of the system, provided that there is an active communication channel. At the same time, the used policy of restoring the communication channel on the side of each agent implements the "circuit breaker" pattern, which allows for minimizing the time of each agent offline and avoids excessive analysis of irrelevant data of agents operating in real-time

Improving the efficiency of streaming video processing through the use of serverless technologies

An architecture with classical dedicated servers for video analytics is considered, and architecture using serverless technologies for video analysis with more than one video streaming source is proposed. A comparison of two architectural approaches is made, and for the revealed shortcomings the architecture with the use of serverless functions is offered

Application of artificial intelligence models to solve the problem of losing control over a drone

The object of the study is the process of managing a swarm of drones with a possible break in the communication channel with the control hub, which will reduce the risks of losing swarm members in case of loss of communication with the hub, due to the construction of a duplicate control system. The aim of the work is to avoid the drone hanging in an uncertain state when communication with the control hub is lost due to the construction of a redundant control system module based on the IoT Edge Module, which uses a simple pre-trained image classifier to search for a gesture and launches a landing scenario in case of loss of communication with IoT hub. The proposed approach allows the module to be deployed on each member of the swarm, imposing interoperability requirements, and the deployment on each drone allows the autonomous landing scenario operations to be performed independently, in isolation. The use of the IoT Edge deployment model allows building independent modules for state monitoring and control, which makes it possible to build more complex logic of the swarm control system, and the use of a pre-trained recognition model does not require deep knowledge of neural networks. Ref. 12, fig.

ИСПОЛЬЗОВАНИЕ «БОЛЬШИХ» ТРАНСПЛАНТАТОВ ЛЕВОГО ЛАТЕРАЛЬНОГО СЕКТОРА ПЕЧЕНИ У ДЕТЕЙ РАННЕГО ВОЗРАСТА

Transplantation of liver left lateral section (LLS) firmly established itself as a radical and effective method of treatment of advanced diffuse and unresectable focal liver diseases in pediatric patients. At the same time surgical community faced the challenge of matching the size of the adult donor’s graft to the volume of the child’s abdomen. Review of the literature presents historical aspects of transplantology, some approaches to measurement of the required liver parenchyma functional mass and methods to prevent complications associated with the usage of large LLS grafts in infants. In addition, the latest data on estimation of intra-abdominal pressure and development of intra-abdominal hypertension syndrome are also presented. Трансплантация левого латерального сектора печени зарекомендовала себя как радикальный и эффективный метод лечения диффузных и нерезектабельных очаговых болезней печени в педиатрической практике. В то же время хирургическое сообщество столкнулось с проблемой соответствия размеров трансплантата, полученного от взрослого человека, объему брюшной полости ребенка. В обзоре литературы представлены исторические аспекты развития данной отрасли трансплантологии, подходы к измерению необходимой, функциональной массы паренхимы печени, методы профилактики развития осложнений, связанных с использованием «больших» трансплантатов левого латерального сектора печени у детей первого года жизни. Кроме того, представлены новейшие данные по опыту измерения внутрибрюшного давления и развития синдрома интраабдоминальной гипертензии.