Neural prediction of heat loss in the pig manure composting process

Boniecki, P.; Dach, Jacek; Mueller, W.; Koszela, Krzysztof; Przybył, J.; Pilarski, Krzysztof; Olszewski, Tomasz K.

doi:10.1016/j.applthermaleng.2013.04.011

Cited by 57 publications

(14 citation statements)

References 30 publications

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“…The results of previous comparative analyses revealed that the bioreactor setup faithfully reproduces composting processes occurring in nature (Boniecki et al, 2012(Boniecki et al, , 2013Wolna-Maruwka and Dach, 2009;Wolna-Maruwka et al, 2012).…”

Section: Experimental Design and Setupmentioning

confidence: 89%

Model of the sewage sludge-straw composting process integrating different heat generation capacities of mesophilic and thermophilic microorganisms

Białobrzewski

Mikš-Krajnik²,

Dach

et al. 2015

Waste Management

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Section: Experimental Design and Setupmentioning

confidence: 89%

Model of the sewage sludge-straw composting process integrating different heat generation capacities of mesophilic and thermophilic microorganisms

Białobrzewski

Mikš-Krajnik²,

Dach

et al. 2015

Waste Management

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“…Artificial Neural Networks (ANN) are acknowledged data classifiers, also graphical data in the form of images [25][26][27]. For a digital image to be introduced into an ANN, it has to be expressed as a sequence of numbers registered in the form of a multidimensional vector [28]. Introducing the whole picture into the network would require thousands of vector components, and, as a consequence, the same number of input neurons of the ANN.…”

Section: Methodsmentioning

confidence: 99%

Neural image analysis in the process of quality assessment: domestic pig oocytes

et al. 2014

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The questions related to quality classification of animal oocytes are explored by numerous scientific and research centres. This research is important, particularly in the context of improving the breeding value of farm animals. The methods leading to the stimulation of normal development of a larger number of fertilised animal oocytes in extracorporeal conditions are of special importance. Growing interest in the techniques of supported reproduction resulted in searching for new, increasingly effective methods for quality assessment of mammalian gametes and embryos. Progress in the production of in vitro animal embryos in fact depends on proper classification of obtained oocytes.The aim of this paper was the development of an original method for quality assessment of oocytes, performed on the basis of their graphical presentation in the form of microscopic digital images. The classification process was implemented on the basis of the information coded in the form of microphotographic pictures of the oocytes of domestic pig, using the modern methods of neural image analysis.

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“…Boniecki et al [68] analyzed heat of the composting process of solid natural fertilizers with neural network modeling. This research highlighted the problem of neural prediction of heat processes accompanying the composting of selected natural fertilizers and focused on the estimation of lost heat generated as part of the exothermic reactions taking place during the process.…”

Section: Several Important Composting Energy Modelsmentioning

confidence: 99%

Comprehensive review of models and methods used for heat recovery from composting process

Zhao

Gao

Guo

2017

International Journal of Agricultural and Biological Engineering

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The large amount of heat produced from solid waste composting has stimulated great interest in heat recovery and utilization. This paper reviews the advances in composting heat recovery researches in the last decade. Some experimental results and theoretical studies on composting heat utilization are summarized. The results indicate a great potential for utilization of heat produced by the composting process. Common problems experienced by current methods are how to realize the maximum heat recovery without negatively impacting compost quality and the economics of heat recovery methods. Further advancement of these methods is currently receiving comprehensive interests, both academically and commercially.

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Neural prediction of heat loss in the pig manure composting process

Cited by 57 publications

References 30 publications

Model of the sewage sludge-straw composting process integrating different heat generation capacities of mesophilic and thermophilic microorganisms

Model of the sewage sludge-straw composting process integrating different heat generation capacities of mesophilic and thermophilic microorganisms

Neural image analysis in the process of quality assessment: domestic pig oocytes

Comprehensive review of models and methods used for heat recovery from composting process

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