Battle Damage Assessment based on Bayesian Network

Geetha, D. Evangelin; Reddy, Ch. Ram Mohan; Kumar, T. V. Suresh; Kanth, K. Rajani

doi:10.1109/snpd.2007.421

Cited by 3 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…an important judging index, the probability of the flying-off or put-down of the airplane, is offered in order to estimate the damage degree of the airfield accurately [5]. In 2008, using the method of Bayesian Network, the airport damage assessment method based on Bayesian Network is given by Ma Zhijun [6]. Based on the airport target features, considering interactions among physical damage effects propose a principle of selecting effects and construct a network-based evaluation model against airfield targets' characteristics, Li Dawei gave the evaluation method of airport damage effect based on network graph [7].…”

Section: Introductionmentioning

confidence: 99%

Damage Assessment of Airport Target Based on Uncertain Information

Chen¹,

Yu²

2016

IJCA

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Damage Assessment of Airport Target Based on Uncertain Information

Chen¹,

Yu²

2016

IJCA

View full text Add to dashboard Cite

show abstract

Simulative Performance Evaluation of Information Retrieval Systems

Geetha

Naidu

Kumar

et al. 2008

2008 Second Asia International Conference on Modelling &Amp; Simulation (AMS)

View full text Add to dashboard Cite

Framework for hybrid performance prediction process model

Geetha

Kumar

Kanth

2011

SIGSOFT Softw. Eng. Notes

View full text Add to dashboard Cite

The dynamic behavior of distributed systems requires that their performance characteristics be determined rigorously, preferably in the early stages of software engineering process. Evaluation of the performance at the end of software development leads to increase in the cost of design change. To compare design alternatives or to identify system bottlenecks, quantitative system analysis must be carried out from the early stages of the software development life cycle. In this paper we describe a process model, Hybrid Performance Prediction Process Model that allows modeling and evaluating distributed systems with the explicit goal of assessing performance of the software system during feasibility study. The use case performance engineering approach proposed in this paper exploits use case model and provides flexibility to integrate the software performance prediction process with software engineering process. We use an e-parking application to demonstrate various elements in our framework. The performance metrics are obtained and analyzed by considering two software architectures. Sensitivity analysis on the behavior of resources is carried out. This analysis helps to determine the capacity of the execution environment to obtain the defined performance objectives.

show abstract

Battle Damage Assessment based on Bayesian Network

Cited by 3 publications

References 4 publications

Damage Assessment of Airport Target Based on Uncertain Information

Damage Assessment of Airport Target Based on Uncertain Information

Simulative Performance Evaluation of Information Retrieval Systems

Framework for hybrid performance prediction process model

Contact Info

Product

Resources

About