摘要 :
Battlefield situational awareness is the core condition that determines the success or failure of the battlefield, and it is also an important application direction of photodetectors. The rapid development of AI technology in rece...
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Battlefield situational awareness is the core condition that determines the success or failure of the battlefield, and it is also an important application direction of photodetectors. The rapid development of AI technology in recent years is about to cause major changes in future wars. The new AI battlefield will also put forward new urgent needs for situational awareness. This article summarizes the current main modes of collaborative detection of battlefield situation awareness and its research status, including radar / infrared composite detection, multi-source data fusion of radar / infrared detection, cooperative target recognition, target tracking, etc. On this basis, combined with the current development trend of the intelligence level of the main battlefield equipment, we get the development needs of future intelligent battlefield situational awareness for new types of collaborative detection, including requirements for its style, angle, speed, and detection targets of distributed collaborative detection. Based on this, the key development directions and core issues to be solved for intelligent battlefield situational awareness in the future are proposed.
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摘要 :
Battlefield situation assessment has a positive significance on improving the efficiency of commanding decision-making; moreover, battlefield situation assessment cannot be made successfully without the support of some integrated ...
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Battlefield situation assessment has a positive significance on improving the efficiency of commanding decision-making; moreover, battlefield situation assessment cannot be made successfully without the support of some integrated and exact intelligence data. In this paper, basing on the demand of identifying the battlefield situation, the corresponding knowledge context database was first discussed; on this basic, construction of the intelligence data warehouse's framework was explored. Then, the study of data mining based on the intelligence data warehouse was made from the view of a holistic conception, and a detailed arithmetic was presented by making use of the tactic from data mining driven fishbone.
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摘要 :
Battlefield situation assessment has a positive significance on improving the efficiency of commanding decision-making; moreover, battlefield situation assessment cannot be made successfully without the support of some integrated ...
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Battlefield situation assessment has a positive significance on improving the efficiency of commanding decision-making; moreover, battlefield situation assessment cannot be made successfully without the support of some integrated and exact intelligence data. In this paper, basing on the demand of identifying the battlefield situation, the corresponding knowledge context database was first discussed; on this basic, construction of the intelligence data warehouse's framework was explored. Then, the study of data mining based on the intelligence data warehouse was made from the view of a holistic conception, and a detailed arithmetic was presented by making use of the tactic from data mining driven fishbone.
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摘要 :
The study in this paper accentuates the significant role of proliferation in communication, computation, and sensor technologies; and enumerates the paradigm shift in the battlefield environment where the objective is to win a dec...
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The study in this paper accentuates the significant role of proliferation in communication, computation, and sensor technologies; and enumerates the paradigm shift in the battlefield environment where the objective is to win a decisive battle. The contribution of this paper is twofold. First, the concept of Battlefield-of-Things (BoTs) is proposed. It integrates the utilisation of multi-layered system architecture for communication, remote deployments of manned-unmanned resources into a cohesive and coordinated fighting force. Second, to study & inter-relate the factors those affect the deployment of technology based on different dimensions in the battlefield; hierarchy and interpretation of distributed networks, its critical effect on decision making. The study states the implications of deployment of BoTs in a generic battlefield scenario. The paper concludes with the fact that the implications of deployment of BoTs has the potential to lead to faster and effective decision making, while enabling the dominance in Command, Control, Intelligence, Surveillance, Targeting, Acquisition; and Reconnaissance (C4ISTAR) with superiority in battlefield management. The future work urges the research community with the challenges envisaged.
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摘要 :
Intelligence preparation of the battlefield (IPB) is an important role to assess situation and threat missions in military operation. However, the existing systems for situation assessment and threat assessment provide still insuf...
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Intelligence preparation of the battlefield (IPB) is an important role to assess situation and threat missions in military operation. However, the existing systems for situation assessment and threat assessment provide still insufficient information with commanders. In real world, undiscovered and unidentified threat units, incomplete messages, and enemy's deception acts may cause expert systems to infer unreliable products. The military decision-making systems may suffer from incomplete, inconsistent, and incorrect intelligence. In this paper, we propose a new framework of knowledge-based system, STAFS, that is more suitable for military applications. STAFS will solve parts of these problems using the assumption-based truth maintenance system (A TMS), spatio-temporal reasoning, and uncertainty processing technologies and provide the enhanced products to commanders and intelligence staffs. STAFS is a near real-time knowledge-based IPB automation system.
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摘要 :
The Internet of Battlefield Things (IoBT) will advance the operational effectiveness of infantry units. However, this requires autonomous assets such as sensors, drones, combat equipment, and uncrewed vehicles to collaborate, secu...
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The Internet of Battlefield Things (IoBT) will advance the operational effectiveness of infantry units. However, this requires autonomous assets such as sensors, drones, combat equipment, and uncrewed vehicles to collaborate, securely share information, and be resilient to adversary attacks in contested multi-domain operations. CAPD addresses this problem by providing a context-aware, policy-driven framework supporting data and knowledge exchange among autonomous entities in a battlespace. We propose an IoBT ontology that facilitates controlled information sharing to enable semantic interoperability between systems. Its key contributions include providing a knowledge graph with a shared semantic schema, integration with background knowledge, efficient mechanisms for enforcing data consistency and drawing inferences, and supporting attribute-based access control. The sensors in the IoBT provide data that create populated knowledge graphs based on the ontology. This paper describes using CAPD to detect and mitigate adversary actions. CAPD enables situational awareness using reasoning over the sensed data and SPARQL queries. For example, adversaries can cause sensor failure or hijacking and disrupt the tactical networks to degrade video surveillance. In such instances, CAPD uses an ontology-based reasoner to see how alternative approaches can still support the mission. Depending on bandwidth availability, the reasoner initiates the creation of a reduced frame rate grayscale video by active transcoding or transmits only still images. This ability to reason over the mission sensed environment, and attack context permits the autonomous IoBT system to exhibit resilience in contested conditions.
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摘要 :
Enemy or threat courses of action are produced during intelligence preparation of the battlefield, during the military decision making process, and as part of the process of situation development. Due to the overwhelming amount of...
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Enemy or threat courses of action are produced during intelligence preparation of the battlefield, during the military decision making process, and as part of the process of situation development. Due to the overwhelming amount of information involved in these processes and the limited time available to intelligence analysts, significant efforts are underway to develop computer based tools to assist in these processes. For these to be successful there needs to be a way for formally representing enemy/threat courses of action. This paper investigates the requirements for and potential solutions to this problem using OWL, elements of JC3IEDM and the OWL time ontology.
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摘要 :
Sea-battlefield situation is a dynamic, nonlinear and multi-dimensional system where Artificial Intelligence (AI) system has a good role to play. Bayesian Network has a strong knowledge skills and reasoning ability to solve the pr...
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Sea-battlefield situation is a dynamic, nonlinear and multi-dimensional system where Artificial Intelligence (AI) system has a good role to play. Bayesian Network has a strong knowledge skills and reasoning ability to solve the problem of sea-battlefield situation assessment. After constructing the network, giving the probability, considering the time factor and then combining with Pattern Matching using a rule set, sea-battlefield situation assessment can be achieved. The knowledge representation will be discussed and how to complete reasoning through Bayesian Network and Pattern Matching will be researched. In the end, a simulation will illustrate the combining method has a good performance in sea-battle-field situation assessment.
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摘要 :
Sea-battlefield situation is a dynamic, nonlinear and multi-dimensional system where Artificial Intelligence (AI) system has a good role to play. Bayesian Network has a strong knowledge skills and reasoning ability to solve the pr...
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Sea-battlefield situation is a dynamic, nonlinear and multi-dimensional system where Artificial Intelligence (AI) system has a good role to play. Bayesian Network has a strong knowledge skills and reasoning ability to solve the problem of sea-battlefield situation assessment. After constructing the network, giving the probability, considering the time factor and then combining with Pattern Matching using a rule set, sea-battlefield situation assessment can be achieved. The knowledge representation will be discussed and how to complete reasoning through Bayesian Network and Pattern Matching will be researched. In the end, a simulation will illustrate the combining method has a good performance in sea-battle-field situation assessment.
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This paper presents a situation assessment system structure of the warships-airplanes joint operation and a new situation assessment algorithm based on parameter learning in Bayesian network. Previously, situation assessments are ...
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This paper presents a situation assessment system structure of the warships-airplanes joint operation and a new situation assessment algorithm based on parameter learning in Bayesian network. Previously, situation assessments are usually operated by using a normal kind of Bayesian network with immutable probability distribution, which may cause the evaluation is too subjective. Therefore, a Bayesian assessment network with parameter learning is considered for a more objective result of the situation assessment. Then a new assessment algorithm of the parameter learning is discussed, which will improve the performance of the assessment. Finally, a model of the battlefield situation assessment of the warships-airplanes joint operation is presented. Its situation assessment simulation results verify the effectiveness of the proposed algorithm.
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