scholarly journals Generalized Net Model of Forest Zone Monitoring by UAVs

Mathematics ◽  
2021 ◽  
Vol 9 (22) ◽  
pp. 2874
Author(s):  
Krassimir T. Atanassov ◽  
Peter Vassilev ◽  
Vassia Atanassova ◽  
Olympia Roeva ◽  
Rosen Iliev ◽  
...  
Keyword(s):  
Decision Making ◽  
Unmanned Aerial Vehicles ◽  
Information Flow ◽  
Forest Fires ◽  
Rapid Detection ◽  
Sensory Information ◽  
Decision Making Process ◽  
Forest Zone ◽  
Aerial Vehicles ◽  
Generalized Net

The paper presents a generalized net (GN) model of the process of terrain observation with the help of unmanned aerial vehicles (UAVs) for the prevention and rapid detection of wildfires. Using a GN, the process of monitoring a zone (through a UAV, which is further called a reconnaissance drone) and the localization of forest fires is described. For a more indepth study of the terrain, the reconnaissance drone needs to coordinate with a second UAV, called a specialized drone, so that video and sensory information is provided to the supervising fire command operational center. The proposed GN model was developed to assist in the decision-making process related to the coordination of the operation of both UAVs under dynamically changing terrain circumstances, such as those related to preventing or quickly containing wildfires. It describes the stages (transitions), logical determinants (transition predicate matrices), and directions of information flow (token characteristics) within the process of localization of fires using the pair of reconnaissance and specialized drones.

scholarly journals Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision-Making for Defence

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Mustafa Hamurcu ◽  
Tamer Eren
Keyword(s):  
Decision Making ◽  
Unmanned Aerial Vehicles ◽  
Selection Process ◽  
Critical Role ◽  
Multicriteria Decision Making ◽  
Critical Factor ◽  
Unmanned Systems ◽  
Multicriteria Decision ◽  
Aerial Vehicles ◽  
Selection Of

The unmanned systems have been seeing a significant boom in the last ten years in different areas together with technological developments. One of the unmanned systems is unmanned aerial vehicles (UAVs). UAVs are used for reconnaissance and observation in the military areas and play critical role in attack and destroy missions. These vehicles have been winning more features together with developing technology in todays world. In addition, they have been varying with different features. A systematic and efficient approach for the selection of the UAV is necessary to choose a best alternative for the critical tasks under consideration. The multicriteria decision-making (MCDM) approaches that are analytic processes are well suited to deal intricacy in selection of alternative vehicles. This study also proposes an integrated methodology based on the analytic hierarch process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) to evaluate UAV alternatives for selection process. Firstly, AHP, a MCDM method, is used to determine the weights of each critical factor. Subsequently, it is utilized with the TOPSIS approach to rank the vehicle alternatives in the decision problem. Result of the study shows that UAV-1 was selected as the most suitable vehicle. In results, it is seen that the weights of the evaluation criteria found by using AHP affect the decision-making process. Finally, the validation and sensitivity analysis of the solution are made and discussed.

The Importance of Information in Crisis Management

2020 ◽  
Vol 12 (1) ◽  
pp. 85-95
Author(s):  
Barbara Kaczmarczyk
Keyword(s):  
Decision Making ◽  
Crisis Management ◽  
Information Flow ◽  
Flow System ◽  
Human Life ◽  
Decision Making Process ◽  
Threat Analysis ◽  
Nature Of Information ◽  
Channel Information ◽  
Made In

Threats have accompanied humanity since the dawn of time. Most of them can develop into crisis situations that can be interpreted in many different ways. The crisis situation is closely linked with the concept of crisis management, which is implemented in four phases. At every stage of work, various elements are significant in terms of crisis management. There are also elements that are very important at every stage. These include: threat analysis, estimation of the probability of their occurrence in a given area, and assessment of their sensitivity. An appropriate information flow system supports the implementation of the above elements. This system should be effective in such relations as between services and between services and society. The effectiveness of information flow depends on the reliability of this information and its flow channel. Information is of particular importance in the decision-making process. It should have appropriate features and properties. Based on the information, both good and bad decisions can be made. In crisis management, this can be relevant to human health and even human life. This article discusses issues related to the nature of information in crisis management.

scholarly journals A decision-making framework for safe operations of unmanned aerial vehicles in urban scenarios

2020 ◽  
Vol 12 (1) ◽  
pp. 11
Author(s):  
Marcos Quiñones ◽  
Timothy Darrah ◽  
Gautam Biswas ◽  
Chetan Kulkarni
Keyword(s):  
Decision Making ◽  
Unmanned Aerial Vehicles ◽  
Environmental Conditions ◽  
System Performance ◽  
Trajectory Optimization ◽  
Contingency Management ◽  
The State ◽  
Urban Mobility ◽  
Aerial Vehicles ◽  
Number Of Factors

This paper presents a decision-making scheme at the level of individual unmanned aerial vehicles (UAVs) with the goal of maintaining safe operations for urban mobility. The decision-making approach for a single UAV will consider the risks associated with the current trajectory given the existing environmental conditions and the state of the vehicle. The proposed scheme combines the analysis of system performance, environmental conditions, and mission level parameters for contingency management, i.e., make a determination on: (1) to abort mission and land safely; (2) re-plan current mission in full or abbreviated form; and (3) change mission.  A path planning and trajectory optimization algorithm with the goal of minimizing the overall risk of mission failure by considering a number of factors such as the uncertainties in the environment and operating state of the vehicle is proposed. We will consider the mission failure as the loss of control of the vehicle resulting in a collision with other objects or a crash into the ground. An offline part of the framework generates an initial mission plan by considering the state of the vehicle, the environmental, conditions, and the static features of a map of the environment. Once the vehicle takes off, the risk of mission’ failure associated with the remaining trajectory is re-computed in an online framework to assess whether re-planning is required or not. A key challenge that we consider in this paper is to study the effects of multiple interacting subsystems of the UAV on system performance, especially under degraded conditions.

Sign in / Sign up

Export Citation Format

Share Document