Journal of Engineering Sciences / Журнал інженерних наук
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Item TOPSIS method for optimization of an apparatus for water and soil treatments(Sumy State University, 2025) Javanbakht, T.The article focuses on the design and application of a new apparatus for water and soil treatments and its optimization with the technique for order of preference by similarity to the ideal solution (TOPSIS). Achieving sustainability required developing experience with new devices, which improved the water and soil treatment outputs. Essential principles, including the irradiation process, treatment capability, and industrial development, were discussed. Water and soil treatments with new nanocomposites based on biocompatible and natural materials were also discussed. A well-implemented approach requires the consideration of creative design. The article addressed these issues by representing the apparatus characteristics of reliable decontamination of drinking water, wastewater, seawater, and soil. A user-centered design approach for apparatus development was also considered. The design for its industrial development was presented and discussed, emphasizing this approach’s commercial viability. The novelty of the proposed apparatus is in decreasing light reflection due to the oxygen uptake, which could be affected by water or soil extraction decontamination. The Fourier transform infrared spectroscopy showed the characteristic peak intensities of superparamagnetic iron oxide nanoparticles and silk fibroin nanoparticles. The predicted theoretical and experimental decrease in light reflection due to nanoparticle oxygen uptake was determined. Moreover, the analysis of the removal of water contaminants using the inductively coupled plasma mass spectrometry analysis showed a concentration decrease of 48 % for Cd and 50 % for Zn after water treatment with nanoparticles. The optimization results using the TOPSIS method showed that the choice of parameters corresponding to the designed apparatus (contaminants separation due to water treatment and experiment duration) and their weights could impact the candidates’ ranks. Moreover, the ranking could be changed due to improved water and soil treatment procedures. The designed apparatus based on the presented optimization can improve water and soil treatments and further applications in environmental science.Item Comparative analysis of dielectric properties of polyvinyl alcohol and polyethylene(Sumy State University, 2024) Javanbakht, T.The article presents a new comparative analysis of the dielectric properties of polyvinyl alcohol (PVA) and polyethylene (PE) at different temperatures and their other physical properties. The characteristic peaks were observed in the FTIR spectra of the polymers. The amounts of carbon and oxygen on PVA’s surface differed from PE. It was hypothesized that these properties could be affected by the increase in temperature and difference in the chemical structures of the polymers. We investigated the dielectric properties of these polymers between 20 °C and 100 °C. Our results revealed that the dielectric properties of these polymers were not the same. The actual permittivity values of PVA at low temperatures were almost constant for all frequency values and increased at higher temperatures with the decrease in frequency. The same pattern concerning the increase of imaginary permittivity of this polymer was observed at low frequencies. The increase of the real and imaginary permittivity of the PVA accompanied the increase in temperature. The actual permittivity of PE was almost constant with the frequency at different temperatures. However, the imaginary permittivity of this polymer showed an increase at low frequencies. The increase in temperature accompanies the increase of the PE’s imaginary permittivity. As expected, the capacitance, like permittivity, changed differently for the polymers. Moreover, an increase in temperature had more effect on the conductivity of PVA than that of PE. The difference in these polymers’ dielectric properties could be due to their chemical structures. The results of this article can be used for further applications of PVA and PE in science and engineering.Item Optimization of Cdx transcription factors characteristics(Sumy State University, 2023) Javanbakht, T.This study presents a new application of TOPSIS for the optimization of transcription factors characteristics. This application is essential as it can help compare the characteristics of these proteins and determine the optimized output of their comparison with this decision-making method. The hypothesis in this article was that according to the previous study of the Cdx transcription factors, as the Cdx2 transcription factor showed more robust characteristics than Cdx1 and Cdx4, the TOPSIS method would show a better rank position of these first proteins in comparison with the two other ones. Moreover, the engrailed repressor domain EnRCdx1 used in the plasmid showed the reduction of the pax3 gene expression in comparison with the induced regulation of the gene expression with the production of the Cdx1, Cdx2, and Cdx4 transcription factors using the corresponding plasmids, the worst rank position with TOPSIS was expected for this repressor domain. The results obtained with this ranking method showed that the rank positions of the transcription factors and the repressor domain corresponded to their compared properties. Moreover, the change in the weight values of the candidates showed the modification of their distances from the best and worst alternatives and closeness coefficients. However, as expected, the candidates’ rank positions were unchanged, and the Cdx2 transcription factor was still the best candidate. The results of this article can be used in computer engineering to improve biological applications of these proteins.Item Optimization of graphene oxide’s characteristics with TOPSIS using an automated decision-making process(Sumy State University, 2023) Javanbakht, T.The present study focuses on a new application of TOPSIS to predict and optimize graphene oxide’s characteristics. Although this carbon-based material has been investigated previously, its optimization with this method using an automated decision-making process has not been performed yet. The major problem in the design and analysis of this nanomaterial is the lack of information on comparing its characteristics, which has led to the use of diverse methods that have not been appropriately compared. Moreover, their advantages and inconveniences could be investigated better once this investigation provides information on optimizing its candidates. In the current research work, a novel automated decision-making process was used with the TOPSIS algorithm using the Łukasiewicz disjunction, which helped detect the confusion of properties and determine its impact on the rank of candidates. Several characteristics of graphene oxide, such as its antibiofilm activity, hemocompatibility, activity with ferrous ions in hydrogen peroxide, rheological properties, and the cost of its preparation, have been considered in its analysis with TOPSIS. The results of this study revealed that the consideration of the criteria of this nanomaterial as profit or cost criteria would impact the distances of candidates from the alternatives. Moreover, the ranks of the candidates changed when the rheological properties were considered differently in the data analysis. This investigation can help improve the use of this nanomaterial in academic and industrial investigations.Item A novel automated decision-making process for analysis of ions and organic materials in drinking water(Sumy State University, 2023) Javanbakht, T.This paper applies a novel automated decision-making process with TOPSIS to analyze ions and organic materials in drinking water. The hypothesis was that the modified TOPSIS algorithm with the Łukasiewicz fuzzy disjunction would be appropriate to optimize the drinking water samples. The maximum output values were set to one to apply the fuzzy disjunction. The concentrations of ions and organic materials in the drinking water samples were considered from the values for naturally occurring chemicals that would be of health significance. Materials with positive effects on the body were considered profit criteria, whereas other ones with negative impacts on human health were considered cost criteria. The analysis of samples with unmodified TOPSIS showed that profit criteria having high concentrations and cost criteria having low concentrations had the dominant effects on the candidates’ ranking. The modified TOPSIS showed that the candidates’ ranking in the second analysis series was the same as in the first. However, the value of 1.0 for the fourth candidate’s concentration of nitrite, which resulted from the fuzzy disjunction in the algorithm of the modified TOPSIS, was attributed to the confusion of the drinking water and undrinkable water categories. The optimization results for drinking water samples could be applied in science and engineering based on the concentrations of their ions and organic materials with the automated decision-making process for their distinction from undrinkable water.