Informacionnye Tehnologii

The paper proposes and substantiates a new methodology for evaluating the effectiveness of quadcopter operator training Digital Behavioral Trace Analysis, based on end-to-end analysis of the digital trace of small managerial actions. Unlike traditional approaches that rely on objective performance metrics, psychological questionnaires or expensive physiomonitoring, Digital Behavioral Trace Analysis captures high-frequency control parameters: reaction time to a command, frequency of stick micro-corrections, statistics of deviations from the optimal trajectory and additional attributes. To test the methodology, a quadrocopter flight simulator was used, in which 10 operators performed five runs of a standard scenario "takeoff — maneuver — landing". Using automated logging, data were collected for four key attributes, after which the mean values for each participant underwent clustering using the K-means method. The experimental results showed a clear separation of the participants into two groups: "confident" operators with low reaction times and infrequent micro-corrections and uncertain participants with elongated reaction times and high frequency of minor corrections. Identifying latent patterns of behavior without involving subjective assessments or sophisticated equipment provides new opportunities for adaptive simulators and predictive monitoring systems. In particular, DBTA can serve as a basis for automatic adjustment of the complexity of training tasks in real time, timely detection of operator fatigue or overload, and more objective selection of candidates for the position of UAV pilot. In the future, the methodology is planned to be extended to include additional attributes: camera operation, trajectory analysis, interaction with the user interface, and application of supervised models for predicting readiness to perform complex flight scenarios.

The problem of finding hidden patterns in nested samples of objects, the measurement of feature values was considered. The objects of each sample were divided into representatives of two non-intersecting classes. Using a recursive method, the feature values were divided into intervals within which representatives of one of the classes dominated. The results of the partitioning were used to calculate the stability of features. The presence of restrictions on the set of admissible stability values is explained through the properties of membership functions to fuzzy sets. The results of the computational experiment were used to predict the survival of patients with chronic lymphocytic leukemia, depending on the stages of their examination.

A new approach to building secure network channels (tunnels) over the Internet for servicing web services in distributed systems based on the use of the Cryptographic Message Syntax (CMS) standard for secure data representation on the network is considered. Unlike VPN technology, the described approach is strictly focused on supporting only HTTP/SOAP interactions in distributed systems — the basis of network.NET architecture. This approach is based on creating a secure "tunnel" through the Internet that uses the structure of a secure CMS message as a secure "container" for transporting HTTP/SOAP documents over the network: information requests to web services and "responses" to them. The approach implies the use of special gateways that provide encapsulation of HTTP/SOAP-documents into the safe CMS-message structures on the sender side and deencaptulating on the receiver side to make up a "transparent" communication channel for system components. It is assumed that both client programs and web servers are located in the same secure private network (or even on the same network node) with the gateways serving them, and only the interaction between the gateways is carried out through the public network. The implementation of the approach in the Linux environment and the results of an experimental study are described. As this study has shown, the use of OpenSSL crypto-libraries can significantly speed up the work of CMS-based data protection tools, which is of great importance in the development of distributed systems based on the.NET network architecture.