A Framework of Cognitive Situation Modeling and Recognition

Jakobson, Gabriel; Buford, John F.; Lewis, Lundy

doi:10.1109/milcom.2006.302076

Cited by 31 publications

(22 citation statements)

References 8 publications

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“…Each area however has its own perspective [27]. For example, Active Database and Complex Event Processing efforts focus on real time streaming data (e.g.…”

Section: Related Workmentioning

confidence: 99%

Situation fencing

Pongpaichet

Singh

Jain

et al. 2013

Proceedings of the 1st ACM International Workshop on Personal Data Meets Distributed Multimedia

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Geo-fencing has recently been applied to multiple applications including media recommendation, advertisements, wildlife monitoring, and recreational activities. However current geo-fencing systems work with static geographical boundaries. Situation Fencing allows for these boundaries to vary automatically based on situations derived by a combination of global and personal data streams. We present a generic approach for situation fencing, and demonstrate how it can be operationalized in practice. The results obtained in a personalized allergy alert application are encouraging and open door for building thousands of similar applications using the same framework in near future.

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“…Each area however has its own perspective [27]. For example, Active Database and Complex Event Processing efforts focus on real time streaming data (e.g.…”

Section: Related Workmentioning

confidence: 99%

Situation fencing

Pongpaichet

Singh

Jain

et al. 2013

Proceedings of the 1st ACM International Workshop on Personal Data Meets Distributed Multimedia

View full text Add to dashboard Cite

show abstract

“…Level 2 utilises an action orientated design approach [19], in the form of a Bayesian Belief Network (BBN), as shown in figure 3. A BBN is a directed acyclic graph, using a collection of nodes denoting the random variables representing the situation domain.…”

Section: Vigilant + Level 2 -Mission Objective Surveillance Comprehenmentioning

confidence: 99%

VIGILANT ⁺ : mission objective interest groups for wireless sensor network surveillance applications

Ghataoura

Mitchell²,

Matich

2011

IET Wirel. Sens. Syst.

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In this paper a system termed VIGILANT + is outlined, which utilises situation awareness for the purposes of enabling distributed, autonomic, sensor management, so that savings on consumption of network resources can be achieved. VIGILANT + is a novel proposition allowing deployed, unattended, wireless sensor nodes to selforganise into dynamic groups and self-manage their transmissions efficiently, according to a current common mission objective. Firstly, a distributed situation assessment system named PORTENT models, detects and characterises potential situations occurring within an uncertain environment, using the metric, quality of surveillance information (QoSI). Secondly, a Bayesian Belief Network (BBN) is utilised to understand and analyse the significance associated with the potential situation, primarily to enable deployed sensors to selforganise and assign themselves to mission objectives autonomously. Thirdly, a system is introduced for distributed autonomic transmission control, which enables the efficient management of sensor network resource consumption. Simulations have been undertaken to verify the integrated VIGILANT + concepts and to demonstrate the effectiveness of the proposed approach in improving network efficiency, without compromising the presentation of mission surveillance utility.

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“…This is facilitated with a vital relation sketch that promotes a concise structure, representing the view of the current perceived situation. In general there exist two approaches to the modelling of situations within environments of interest 18 :…”

Section: Vigilant Level 2 -Comprehension and Group Formation Decisionmentioning

confidence: 99%

VIGILANT: "situation-aware" quality of information interest groups for wireless sensor network surveillance applications

Ghataoura

Mitchell

Matich³

2010

SPIE Proceedings

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Effective situation awareness is a critical element for decision support in a wide range of military and para-military operational surveillance scenarios. Effective situation awareness in a surveillance scenario can greatly increase operational effectiveness, by improving the quality and timeliness of decisions. In this paper we outline a three level integrated design approach to promote situation awareness. Our approach allows deployed wireless sensor nodes to efficiently self-organise into dynamic clusters, based on a current common perceived threat situation (context). Firstly our distributed predator aware situation assessment system (PORTENT) models, detects and presents, in terms of quality of information (QoI), potential situations occurring within an uncertain environment. Secondly, we utilise a Bayesian belief network to understand the significance associated with the potential situation. Finally in order to obtain a better shared awareness we have developed a "context aware" service protocol that supports group formation and efficient management of sensor network assets. By combining this three level approach, we present our VIGILANT "situation aware" QoI interest group system. Extensive simulations have been undertaken to verify the VIGILANT concept, to demonstrate the effectiveness of our approach, in improving performance for network management efficiency, through utilisation of a shared "context" service provision time and QoI surveillance presentation.

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A Framework of Cognitive Situation Modeling and Recognition

Cited by 31 publications

References 8 publications

Situation fencing

Situation fencing

VIGILANT ⁺ : mission objective interest groups for wireless sensor network surveillance applications

VIGILANT: "situation-aware" quality of information interest groups for wireless sensor network surveillance applications

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A Framework of Cognitive Situation Modeling and Recognition

Cited by 31 publications

References 8 publications

Situation fencing

Situation fencing

VIGILANT + : mission objective interest groups for wireless sensor network surveillance applications

VIGILANT: "situation-aware" quality of information interest groups for wireless sensor network surveillance applications

Contact Info

Product

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VIGILANT ⁺ : mission objective interest groups for wireless sensor network surveillance applications