Soil erosion assessment and prioritization of affecting factors at plot scale using the Taguchi method

Sadeghi, Seyed Hamidreza; Moosavi, Vahid; Karami, Ayoob; Behnia, Negin

doi:10.1016/j.jhydrol.2012.04.038

Cited by 75 publications

(25 citation statements)

References 45 publications

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“…The Taguchi method has been extensively and successfully used for determination of the optimum process parameters in different subject areas such as aerospace (Singaravelu et al, 2009), food (Sahin et al, 2007), sports (Burton et al, 2010), communications (Al-Darrab et al, 2009), environment (Aber et al, 2010;Zolfaghari et al, 2011), construction (Türkmen et al, 2008), energy (Chang et al, 2009;Zeng et al, 2010), material manufacturing (Dingal et al, 2008), milling (Zhang et al, 2007), welding (Lakshminarayanan and Balasubramanian, 2008), mechanical engineering (Palanikumar et al, 2008;Hascalik and Caydas, 2008;Rosa et al, 2009), dental science Geerts Greta et al, 2008) and soil erosion and sediment yield (Sadeghi et al, 2012). However, no application of the Taguchi method to tree crown and forest studies has been reported until the present time.…”

Section: International Archives Of Thementioning

confidence: 99%

“…Taguchi (1990) developed a family of FFE matrices that could be utilized in various situations. This method has been generally adopted to optimize the design parameters (based on a signal to noise parameter) and significantly minimize the overall testing time and the experimental costs (Erzurumlu and Ozcelik, 2006;Wang and Huang, 2007;Chou et al, 2009;Yang et al, 2011;Sadeghi et al, 2012) following a systematic approach to confine the number of experiments and tests.…”

Section: Introductionmentioning

confidence: 99%

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Tree Crown Delineation on VHR Aerial Imagery With SVM Classification Technique Optimized by Taguchi Method: A Case Study in Zagros Woodlands

Erfanifard

Behnia

Moosavi

2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The Support Vector Machine (SVM) is a theoretically superior machine learning methodology with great results in classification of remotely sensed datasets. Determination of optimal parameters applied in SVM is still vague to some scientists. In this research, it is suggested to use the Taguchi method to optimize these parameters. The objective of this study was to detect tree crowns on very high resolution (VHR) aerial imagery in Zagros woodlands by SVM optimized by Taguchi method. A 30 ha plot of Persian oak (Quercus persica) coppice trees was selected in Zagros woodlands, Iran. The VHR aerial imagery of the plot with 0.06 m spatial resolution was obtained from National Geographic Organization (NGO), Iran, to extract the crowns of Persian oak trees in this study. The SVM parameters were optimized by Taguchi method and thereafter, the imagery was classified by the SVM with optimal parameters. The results showed that the Taguchi method is a very useful approach to optimize the combination of parameters of SVM. It was also concluded that the SVM method could detect the tree crowns with a KHAT coefficient of 0.961 which showed a great agreement with the observed samples and overall accuracy of 97.7% that showed the accuracy of the final map. Finally, the authors suggest applying this method to optimize the parameters of classification techniques like SVM.

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Section: International Archives Of Thementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tree Crown Delineation on VHR Aerial Imagery With SVM Classification Technique Optimized by Taguchi Method: A Case Study in Zagros Woodlands

Erfanifard

Behnia

Moosavi

2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Among them, the Taguchi method can be applied to optimise input welding parameters. Process parameters optimisation is the key step in the Taguchi method in achieving elevated quality without escalating the cost [15,16]. In welding processes, the input parameters influence the mechanical properties of the welded joints.…”

Section: Introductionmentioning

confidence: 99%

Investigation on TIG welding parameters of 2205 duplex stainless steel

Ravichandran¹,

Sait²,

Vignesh³

2017

Int. J. Automot. Mech. Eng.

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TIG welding process parameters were analysed for joining duplex stainless-steel plates. Signal to noise (SN) ratio and Analysis of Variance (ANOVA) analyses were applied for investigating the selected welding parameters. The selected parameters were current (A), gas flow rate (L/min) and speed (mm/min). The purpose of this work is to produce weld joints with maximum impact of strength and hardness. L9 orthogonal array was selected according to the aforementioned factors with three levels. The impact strength of the joints was found using the Izord impact testing machine and hardness of all joints was measured using the Brinell Hardness machine. From the SN ratio analysis, it was observed that for the high impact strength, the required welding current was 150 A, gas flow rate was 14 L/min and the welding speed was 210 mm/min while for high hardness, the welding current was 190 A, gas flow rate was 12 L/min and the welding speed was 175 mm/min. ANOVA analysis indicated that the gas flow rate was the most significant one for both impact strength and hardness of the joints.

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“…In last decades, some statistical and optimization tools such as multiple linear regression analyses [7], artifi cial neural networks [7,8], Box-Behnken designs [9], Taguchi orthogonal arrays [10][11][12] etc. are used for investigation of pollution in different environments.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Meteorological Factors on Particulate Pollution: Design of Optimization Procedure

Özdemir¹

2016

J Civil Eng Environ Sci

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In this study, Taguchi L 8 orthogonal array design was applied to determine the most polluted meteorological conditions in Kocaeli. Meteorological factors were decided as temperature, relative humidity and rainfall in two different levels. Larger is better function was applied for calculation of signal-to-noise ratios. The impact ratios of meteorological factors were also determined by using Taguchi model. PM 10 concentrations were predicted by the model. Results of the model showed that predicted and obtained concentrations were closer to each other. These calculations and results show the success of Taguchi model in this study.

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Soil erosion assessment and prioritization of affecting factors at plot scale using the Taguchi method

Cited by 75 publications

References 45 publications

Tree Crown Delineation on VHR Aerial Imagery With SVM Classification Technique Optimized by Taguchi Method: A Case Study in Zagros Woodlands

Tree Crown Delineation on VHR Aerial Imagery With SVM Classification Technique Optimized by Taguchi Method: A Case Study in Zagros Woodlands

Investigation on TIG welding parameters of 2205 duplex stainless steel

Impacts of Meteorological Factors on Particulate Pollution: Design of Optimization Procedure

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