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Application of neural networks in prediction of tensile strength of absorbable sutures

Karpiński R., Gajewski J., Szabelski J., Barta D.

Applied Computer Science

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2017

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Vol. 13, no 4

76--86

EN

The paper presents results of research on neural network application in fore-casting the tensile strength of two types of sutures. The preliminary research was conducted in order to establish the accuracy of the proposed method and will be used for formulating further research areas. The neu-ral network enabled evaluation of suture material degradation after 3-to-6-days’ exposure to Ringer’s solution. The encountered problems regarding inaccuracies show that developing a single model for sutures may be difficult or impossible. Therefore future research should be conducted for a single type of sutures only and require applying additional parameters for the neural network.

2

Metoda oceny możliwości prowadzenia odkrywkowej działalności górniczej oddziałującej na obszary Natura 2000

Ptak M.

Górnictwo i Geoinżynieria

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2011

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R. 35, z. 3

275-290

PL

Rozwój górnictwa odkrywkowego dziś i w najbliższych latach będzie zależał od umiejętności rozwiązywania konfliktów w związku z oddziaływaniem eksploatacji na obszary Natura 2000. Wprowadzona z dniem 1 maja 2004 roku do krajowego systemu ochrony przyrody nowa forma, powoduje konieczność uwzględniania w planach przedsięwzięć działań ochronnych w celu zachowania właściwego stanu siedlisk przyrodniczych oraz siedlisk gatunków roślin i zwierząt chronionych. Niniejszy artykuł przedstawia istotę ochrony obszarów Natura 2000 wraz z założeniami opracowanej metody klasyfikacji złóż - KZN200/mAHP. Jednocześnie artykuł przedstawia wybrane udokumentowane złoża, których eksploatacja wpływa na obszary Natura 2000.

EN

The development of opencast mining today and in the upcoming years will depend on the ability to solve conflicts connected with the impact of the exploitation on Natura 2000 areas. This new form of environmental protection, which was introduced into the national system on May 1, 2004, makes it necessary to include protective actions in mining projects to maintain the proper condition of natural habitats and of protected animal and plant habitats. The article presents the essence of the protection of Natura 2000 areas together with assumptions for the developed method of deposit classification - KZN200/mAHP. Simultaneously the article presents chosen deposits, exploitation of which affects Natura 2000 areas.

3

Neuronal network for flexible process control in diesel engine

Sitnik L.

Silniki Spalinowe

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2007

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R. 46, nr SC3

354-360

EN

Technology of internal combustion engines is still researched and developed. Potential of engine manufacturing is very high and there are a lot of new engines in operation. Conventional fuels supply them first of all. Classical engines will replace with new ones, alternative power sources but the process of exchanging needs time. Combustion engine is equipped with peripheries goods and together are complex control systems. The control system is still developed. Many of them employed neuronal networks. Systems like that are going to be used for control in combustion engines. Neuronal networks have been used to model of engines, to control combustion process as well as diagnostics of engine. The introduced work is a continuation of earlier the author's works connected with implementations of neuronal nets to control the run of internal combustion engines. An application of neuronal nets to control of work of internal combustion engines requires a new approach to philosophy of that control. Results presented in this paper confirm earlier observations, that on the one hand it is possible to map of nowadays engine control unit, but on the other control processes in not satisfy because it is not able to flexible adapt operational conditions of engine changing very fast in addition. It could happen when engine is fuelled by alternative mixture of fuel as well as because of changing degradation level of engine components. The implantation of neuronal nets finds difficulties connected with their design, too. Present paper shows, that using of neuronal nets in diesel engine control is possible on the example of fuel dose control as well as angle of injection advance in each of cylinder separately. It was proved that for engine run control it is possible to use both Multi Layer Perceptron (MLP) and Radial Basis Function (RBF) net. Linear nets are useful in little scale. Particularly useful in control of engine setting, mentioned above, seems to be the RBF nets. Apply of these nets is easily. The optimization their structure is also simply (it restrains practically to selection of quantity of neurons in indirect layer). It does not have also the necessity of selection of function transformations. It is big advantage. It was showed that the RBF net is suitable both to modeling the advance angle of fuel injection and the fuel charge. In both applications the predictions of values of object responses are with high efficiencies. Essential is, that is possible to control operational processes in each cylinder independently. It is one of the requirements of flexible control. It was simultaneously noticed that it is possible to create MLP net, which gives better modeling of angle of injection advance than application of RBF net. On the another way this net gives worse model of size of fuel drop than RBF. It means that modeling of the different processes in engine needs different types of neuronal nets. These nets will be work simultaneously. Mentioned above observations have been found during modeling investigations. The experimental part of research was executed on test bench equipped with model of common rail fuel injection system. The simulations of behaviours of nets were conducted in computer. These conditions are different from natural exploitation ones and because of it is imperative to verify results. On the other hand the results of research are so encouraging to get publish and to continuation of hard working of this project.