Spirometric Measurement Postprocessing: Expiration Data Recovery

Lay-Ekuakille, A.; Vendramin, G.; Trotta, A.

doi:10.1109/jsen.2009.2035743

Cited by 22 publications

(12 citation statements)

References 18 publications

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“…Also, other related hybrid techniques such as controlled genetic algorithm [40] and genetic doping algorithm [41] can be considered in the future for devising another velocity-wise reliability index.…”

Section: Applications and Resultsmentioning

confidence: 99%

Multiobjective Optimization of Water Distribution Networks Using Fuzzy Theory and Harmony Search

Geem

2015

Water

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Thus far, various phenomenon-mimicking algorithms, such as genetic algorithm, simulated annealing, tabu search, shuffled frog-leaping, ant colony optimization, harmony search, cross entropy, scatter search, and honey-bee mating, have been proposed to optimally design the water distribution networks with respect to design cost. However, flow velocity constraint, which is critical for structural robustness against water hammer or flow circulation against substance sedimentation, was seldom considered in the optimization formulation because of computational complexity. Thus, this study proposes a novel fuzzy-based velocity reliability index, which is to be maximized while the design cost is simultaneously minimized. The velocity reliability index is included in the existing cost optimization formulation and this extended multiobjective formulation is applied to two bench-mark problems. Results show that the model successfully found a Pareto set of multiobjective design solutions in terms of cost minimization and reliability maximization.

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Section: Applications and Resultsmentioning

confidence: 99%

Multiobjective Optimization of Water Distribution Networks Using Fuzzy Theory and Harmony Search

Geem

2015

Water

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“…7 shows a clear improvement of the FP's reproducibility obtained by using the correction based on the theoretical model. This correction can also result useful during spirometry, where the accuracy of flow measurements plays a crucial role in the evaluation of respiratory system pathologies, in particular when techniques of expiratory recovery are required [18]. The mean of the difference absolute values is much lower using the correction (0.095 L min À1 ) than not using it (0.23 L min À1 ).…”

Section: Discussionmentioning

confidence: 99%

Linearity dependence on oxygen fraction and gas temperature of a novel Fleisch pneumotachograph for neonatal ventilation at low flow rates

et al. 2012

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“…The two techniques are based on work of breath (WOB) and controlled genetic algorithm (CGA), respectively. A comparison is performed between the two techniques; the WOB is calculated by assuming classes of fixed resistance R according to the age, to the sex, to the previous pathologies, etc., while the CGA technique provides a strict monitoring of GA steps in order to reduce uncertainty of final results [4]. Hybrid diversification operator-based evolutionary approach towards tomographic image reconstruction algorithm introduces a new and efficient hybrid diversification operator (HDO) in the evolution cycle to improve the tomographic image reconstruction and diversity in the population by using simulated annealing (SA), and the modified form of decreasing law of mutation probability.…”

Section: Related Workmentioning

confidence: 99%

Diagnosis of Lung Disorder Using Immune Genetic Algorithm and Fuzzy logic to Handle Incertitude

Othiyappan¹

2018

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In this paper, we present an immune based fuzzy-logic approach for computer-aided diagnosis scheme in medical imaging. The scheme applies to lung CT images and to detect and classify lung nodules. Classification of lung tissue is a significant and challenging task in any computer aided diagnosis system. This paper presents a technique for classification of lung tissue from computed tomography of the lung using the Gaussian interval type-2 fuzzy logic system. The type-2 Gaussian membership functions (T2MFs) and their footprint of uncertainty (FOU) are tuned by immune, genetic algorithm, which is the combination of immune genetic algorithm (GA) and local exploration operator. An immune, genetic algorithm estimates the parameters of the type-2 fuzzy membership function (T2MF). By using immune, genetic algorithm, converging speed is increased. The proposed local exploration operator helps in finding the best Gaussian distribution curve of a particular feature which improves the efficiency and accuracy of the diagnosis system.

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Spirometric Measurement Postprocessing: Expiration Data Recovery

Cited by 22 publications

References 18 publications

Multiobjective Optimization of Water Distribution Networks Using Fuzzy Theory and Harmony Search

Multiobjective Optimization of Water Distribution Networks Using Fuzzy Theory and Harmony Search

Linearity dependence on oxygen fraction and gas temperature of a novel Fleisch pneumotachograph for neonatal ventilation at low flow rates

Diagnosis of Lung Disorder Using Immune Genetic Algorithm and Fuzzy logic to Handle Incertitude

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