The article presents a set-theoretic model that generalizes the concept of a monitoring system. The model is a tuple that includes a monitoring object, the infrastructure of the monitoring system, initial data and monitoring results, and a set of relationships between the components of the model. Each component of the model is detailed at 1-2 levels of detail. For some elements of the model, examples from existing monitoring systems are given. The model can be used to create new or modify existing monitoring systems.
Keywords: monitoring system, monitoring object, set-theoretic model, tuple, data processing, infrastructure, sensor, software
The paper deals with the construction of an algorithm for nonparametric estimation of the transition probability distribution density for the Markov model of the dynamics of the number of university employees. The problem of reconstruction of transition probability distribution density on a retrospective sample of small volume is solved. The result of the solution is the transition probability matrix, the elements of which are random variables with distribution laws obtained from retrospective data. A distinctive feature of the algorithm is the simultaneous consideration of regional and functional constraints on the values of transition probabilities. The convergence of the algorithm has been experimentally confirmed.
Keywords: probability density, nonparametric estimation, Markov model, simulation modeling, university staff movement, publication activity
In this paper, we review a number of algorithms for solving the problem of building a map and the problem of SLAM - Simultaneous localization and mapping - in various formulations. These tasks are solved on a graph structure that describes a mine working, in which a localization system from stationary access points is installed. To solve the SLAM problem, the FastSLAM algorithm is used in various modifications, depending on the method for estimating the positions of access points. In all the proposed solutions, it was possible to achieve an error in estimating the positions of access points of no more than 2 meters. The problem of building a map is solved as a combinatorial problem of searching for a permutation of access points by known positions. The proposed permutation search algorithm showed tangible advantages in terms of execution time over the exhaustive search method on systems with 5 or more access points.
Keywords: graph, mining, localization, map construction, SLAM, MCMC, particle filter, Kalman filter, Bayes method
This article describes the developed universal system for ensuring the safe movement of multicopter indoors. The system solves the problem of the avoiding the obstacles when multicopter moves. System includes the following devices: 8 ultrasonic distance sensors, one infrared distance sensor, the electronic board to control sensors and multicopter, and radio. The ultrasonic sensors detect the obstacles in the horizontal plane of the multicopter. Infrared sensor is used to stabilize the height of multicopter. The system captures device management from operator when the machine enters the danger area. It calculates the best driving direction that multicopter not to collide with an obstacle, and drives the multicopter to a safe distance.
Keywords: drone, multicopter, safety, obstacle avoidance, management
Two approaches are proposed for constructing a road graph for routing mobile robot in a closed system of corridors with a focus on the use of the robot computer vision to identify the entrances to the rooms from the hallway. In the first version of the graph the vertices correspond to the two types of objects: connection points (branching intersection) corridors and location of entrances - each input corresponds to only one vertex. The second version for the formation of the graph allows to concider returns of the robot and the robot motion in the joints of the corridors. For each room's entry formed two vertices to describe the robot motion in all directions.
Keywords: routing, road graph, mobile robot