scholarly journals Application of Augmented Reality, Mobile Devices, and Sensors for a Combat Entity Quantitative Assessment Supporting Decisions and Situational Awareness Development

2019 ◽  
Vol 9 (21) ◽  
pp. 4577 ◽  
Author(s):  
Mariusz Chmielewski ◽  
Krzysztof Sapiejewski ◽  
Michał Sobolewski
Keyword(s):  
Decision Support ◽  
Augmented Reality ◽  
Crisis Management ◽  
Mobile Applications ◽  
Situational Awareness ◽  
Analytical Data ◽  
Mission Planning ◽  
Military Operations ◽  
Support Tools ◽  
Threat Level

This paper presents advances in the development of specialized mobile applications for combat decision support utilizing augmented reality technologies used for the production of contextual data delivered to any tactical smartphone. Handhelds and decision support systems have been present in military operations since the 1990s. Due to the development of hardware and software platforms, smartphones are capable of running complex algorithms for individual soldiers and low-level commander support. The utilization of tactical data (force location, composition, and tasks) in dynamic mobile networks that are accessible anywhere during a mission provides means for the development of situational awareness and decision superiority. These two elements are key factors in 21st-century military operations, as they influence the efficiency of recognition, identification, and targeting. Combat support tools and their analytical capabilities can serve as recon data hubs, but most of all they can support and simplify complex analytical tasks for commanders. These tasks mainly include topographical and tactical orientation within the battlespace. This paper documents the ideas for and construction details of mobile support tools used for supporting the specific operational activities of military personnel during combat and crisis management. The presented augmented reality-based evaluation methods formulate new capabilities for the visualization and identification of military threats, mission planning characteristics, tasks, and checkpoints, which help individuals to orientate within their current situation. The developed software platform, mobile common operational picture (mCOP), demonstrates all research findings and delivers a personalized combat-oriented distributed mobile system, supporting blue-force tracking capabilities and reconnaissance data fusion as well as threat-level evaluations for military and crisis management scenarios. The mission data are further fused with Geographic Information System (GIS) topographical and vector data, supporting terrain evaluations for mission planning and execution. The application implements algorithms for path finding, movement task scheduling, assistance, and analysis, as well as military potential evaluation, threat-level estimation, and location tracking. The features of the mCOP mobile application were designed and organized as mission-critical functions. The presented research demonstrates and proves the usefulness of deploying mobile applications for combat support, situation awareness development, and the delivery of augmented reality-based threat-level analytical data to extend the capabilities and properties of software tools applied for supporting military and border protection operations.

scholarly journals A Solution Approach for UAV Fleet Mission Planning in Changing Weather Conditions

2019 ◽  
Vol 9 (19) ◽  
pp. 3972 ◽  
Author(s):  
Thibbotuwawa ◽  
Bocewicz ◽  
Zbigniew ◽  
Nielsen
Keyword(s):  
Decision Support ◽  
Traffic Control ◽  
Weather Conditions ◽  
Mission Planning ◽  
Multiple Perspectives ◽  
Solution Approach ◽  
Delivery Performance ◽  
Support Tools ◽  
Outdoor Environments ◽  
Number Of Customers

With a rising demand for utilizing unmanned aerial vehicles (UAVs) to deliver materials in outdoor environments, particular attention must be given to all the different aspects influencing the deployment of UAVs for such purposes. These aspects include the characteristics of the UAV fleet (e.g. size of fleet, UAV specifications and capabilities), the energy consumption (highly affected by weather conditions and payload) and the characteristics of the network and customer locations. All these aspects must be taken into account when aiming to achieve deliveries to customers in a safe and timely manner. However, at present, there is a lack of decision support tools and methods for mission planners that consider all these influencing aspects together. To bridge this gap, this paper presents a decomposed solution approach, which provides decision support for UAVs’ fleet mission planning. The proposed approach assists flight mission planners in aerospace companies to select and evaluate different mission scenarios, for which flight-mission plans are obtained for a given fleet of UAVs, while guaranteeing delivery according to customer requirements in a given time horizon. Mission plans are analyzed from multiple perspectives including different weather conditions (wind speed and direction), payload capacities of UAVs, energy capacities of UAVs, fleet sizes, the number of customers visited by a UAV on a mission and delivery performance. The proposed decision support-driven declarative model supports the selection of the UAV mission planning scenarios subject to variations on all these configurations of the UAV system and variations in the weather conditions. The computer simulation based experimental results, provides evidence of the applicability and relevance of the proposed method. This ultimately contributes as a prototype of a decision support system of UAVs fleet-mission planning, able to determine whether is it possible to find a flight-mission plan for a given fleet of UAVs guaranteeing customer satisfaction under the given conditions. The mission plans are created in such a manner that they are suitable to be sent to Air Traffic Control for flight approval.

scholarly journals Smart Simulation for Decision Support at Headquarters

2019 ◽  
Vol 25 (3) ◽  
pp. 81-90
Author(s):  
Ariane Bitoun ◽  
Hans ten Bergen ◽  
Yann Prudent
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Situation Awareness ◽  
Military Operations ◽  
Operations Planning ◽  
Support Tools ◽  
First Results ◽  
Decision Making Processes ◽  
And Control ◽  
Command And Control System

Abstract While serious games are being widely adopted by NATO and partner nations, their use is currently limited to training and operations planning. In this paper, we explore new methods that use simulations for decision support during the execution of military operations. During this phase, the commander makes decisions based on knowledge of the situation and the primary objectives. We propose here to take a simulation containing smart and autonomous units, and use it to create new kinds of decision support tools capable of improving situation awareness, and consequently the quality of decisions. The breakthrough behind this initiative is the realization that we can provide HQ decision makers with access to a version of the information that smart simulated units use to make decisions. To ensure the approach was sound we first studied decision-making processes, and analyzed how situation awareness improves decision-making. After analysis of the decision-making processes at various headquarters, and the types of decision criteria employed, we are able to produce innovative information, computed by the simulation, and fed by the command and control system. We then propose a prerequisite architecture and describe the first results of our proof of concept work based on the SWORD (Simulation War gaming for Operational Research and Doctrine) simulation.

scholarly journals MCDA stakeholder workshops

2020 ◽  
Vol 55 ◽  
pp. S193-S196 ◽  
Author(s):  
T. Duranova ◽  
E. van Asselt ◽  
T. Müller ◽  
J. Bohunova ◽  
C.J.W. Twenhöfel ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Analysis ◽  
Crisis Management ◽  
End Users ◽  
Decision Support Tools ◽  
Robust Decision Making ◽  
Radiological Emergency ◽  
Multi Criteria Decision Analysis ◽  
Support Tools

Within the CONFIDENCE project, comprehensive methods have been developed for better support of decision making under uncertain conditions, mainly by use of Multi Criteria Decision Analysis (MCDA). While MCDA in general was available for use in the radiological crisis management community, no method of analysing uncertain conditions and supporting robust decision making under these conditions was available. During the CONFIDENCE project, the existing MCDA tool was improved and enhanced to deal with these requirements. For providing solid and reliable decision support for such a situation as a radiological emergency, the evaluation of decision-support tools by the stakeholders and their feedback is important, especially when considering their heterogeneous background caused by e.g. living in different countries. Therefore, several stakeholder panels in different countries were organized to include the end users’ opinions and to assure the usability of the final tool.

scholarly journals The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition

2021 ◽  
Vol 9 (7) ◽  
Author(s):  
Berkeley N. Limketkai ◽  
Kasuen Mauldin ◽  
Natalie Manitius ◽  
Laleh Jalilian ◽  
Bradley R. Salonen
Keyword(s):  
Decision Support ◽  
Mobile Applications ◽  
Digital Technology ◽  
Mobile Apps ◽  
Clinical Nutrition ◽  
Decision Support Tools ◽  
Wearable Technologies ◽  
Related Data ◽  
Support Tools ◽  
Remote Assessment

Abstract Purpose of review Computing advances over the decades have catalyzed the pervasive integration of digital technology in the medical industry, now followed by similar applications for clinical nutrition. This review discusses the implementation of such technologies for nutrition, ranging from the use of mobile apps and wearable technologies to the development of decision support tools for parenteral nutrition and use of telehealth for remote assessment of nutrition. Recent findings Mobile applications and wearable technologies have provided opportunities for real-time collection of granular nutrition-related data. Machine learning has allowed for more complex analyses of the increasing volume of data collected. The combination of these tools has also translated into practical clinical applications, such as decision support tools, risk prediction, and diet optimization. Summary The state of digital technology for clinical nutrition is still young, although there is much promise for growth and disruption in the future.

Context-Driven Proactive Decision Support for Hybrid Teams

AI Magazine ◽  
2019 ◽  
Vol 40 (3) ◽  
pp. 41-57
Author(s):  
Manisha Mishra ◽  
Pujitha Mannaru ◽  
David Sidoti ◽  
Adam Bienkowski ◽  
Lingyi Zhang ◽  
...  
Keyword(s):  
Decision Support ◽  
Situational Awareness ◽  
Feature Space ◽  
Human Interaction ◽  
Superior Performance ◽  
Uncertain Environments ◽  
Cognitive States ◽  
Contextual Elements ◽  
Human Operators ◽  
Smart Machine

A synergy between AI and the Internet of Things (IoT) will significantly improve sense-making, situational awareness, proactivity, and collaboration. However, the key challenge is to identify the underlying context within which humans interact with smart machines. Knowledge of the context facilitates proactive allocation among members of a human–smart machine (agent) collective that balances auto­nomy with human interaction, without displacing humans from their supervisory role of ensuring that the system goals are achievable. In this article, we address four research questions as a means of advancing toward proactive autonomy: how to represent the interdependencies among the key elements of a hybrid team; how to rapidly identify and characterize critical contextual elements that require adaptation over time; how to allocate system tasks among machines and agents for superior performance; and how to enhance the performance of machine counterparts to provide intelligent and proactive courses of action while considering the cognitive states of human operators. The answers to these four questions help us to illustrate the integration of AI and IoT applied to the maritime domain, where we define context as an evolving multidimensional feature space for heterogeneous search, routing, and resource allocation in uncertain environments via proactive decision support systems.

Decision Support Tools For Assessing Petroleum Upstream Investments

2020 ◽  
pp. 323
Author(s):  
Nour Elislam Djedaa ◽  
Abderrezak Moulay Lakhdar
Keyword(s):  
Decision Support ◽  
Decision Support Tools ◽  
Support Tools
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