12 research outputs found
The effects of concentrated system on the electrical parameters of GaInP/GaAs solar cell
No full textIII-V concentrator solar cells are suitable materials in order to reduce the cost of photovoltaic electricity. By using Fresnel lens in concentrating photovoltaic technology is an effective way to entirely use the sunlight. In the present study, the research on the efficiency analysis of the GaInP/GaAs concentrated solar cell stnicture with AlGaAs tunnel junction was performed. The electrical output parameters of this structure were determined by concentrated system with Fresnel lens. The current-voltage measurements of concentrated solar cell were carried out at room temperature under both dark and air mass 1.5 global radiations. The parameters of GaInP/GaAs concentrated solar cell at 1 Sun and at 32 Suns are compared. It is obtained that the integration of the concentrated system on the solar cell structure improves the device performance by approximate to 7.5%
Determination of the growth and solubilization capabilities of Trichoderma harzianum T1
Get PDFWOS: 000254045700005The growth capability of Trichoderma harzianum Rifaii T1 was tested on Malt Extract and Czapeks Dox agar containing different concentrations of Cu2+, Zn2+, Mn2+, Fe2+ and Ca2+. The T. harzianum T1 isolate was observed to produce mycelia and spores in various mineral-containing media. It showed the lowest tolerance to Ca2+ and the highest tolerance to Fe2+. Solubilization capability of T. harzianum, T1 for some insoluble minerals via acidification of medium has been tested On MnO2, CuO, Fe2O3 and metallic Zn. T. harzianum T1 was able to solubilize MnO2 and metallic Zn in a liquid medium
Thesis Pre-Processing ECG & Respiratory Signals for Detection of Stress
No full textThe main purpose of this thesis is the removal of different kinds of artifacts from incoming signals and the identification of relevant information which can be utilized for further analysis. This thesis proposes two designs which are used for the pre-processing of the electrocardiogram (ECG) signal and the respiratory signal. The ECG signal system design consists of an artifact removal system, a three-step quality check at the initial stage and after pre-processing the raw signal. The respiratory signal system consists of a two-step quality check, a artifact removal part and a part which calculates the respiratory rate from the respiratory signal
Kernel Quality of Some Sweet Corn Varieties in Relation to Processing
Get PDFThe quality characteristics (dry matter content, soluble solid concentration, kernel colour, sugar, starch and protein content) of fresh, frozen and canned kernels of seven sweet corn varieties ('Lumina', 'Merit', 'Sunshine', 'Jubilee', 'Challenger', 'Yellow Baby' and '2201') were studied. The present research was conducted during 2009 and 2010 in Eskisehir, Midwestern Turkey. The trials were set up in randomised complete block design, with four replications. Ears were harvested and randomly selected for analysis as fresh, frozen and canned. Dry matter content ranged from 34.2% ('2201') to 39.5% ('Yellow Baby), soluble solid concentration from 16.3% ('2201') to 27.4% ('Yellow Baby'). The sugar content of fresh kernels was higher than other treatments (frozen and canned) for all varieties. The starch content of the varieties was decreased after processing, except in 'Yellow Baby'. Fresh, frozen and canned sweet corn kernels had similar protein contents; the highest protein content was obtained, for all treatments, from 'Challenger', and it maintained its higher protein content after processing. '2201' had the highest sugar and the lowest starch content for fresh, frozen and canned varieties. When compared on a kernel basis, sweet corn marketed as fresh, frozen or canned, it may be feasible to select varieties for different sweet corn markets.Eskisehir Osmangazi University, The Scientific Research Projects CommissionEskisehir Osmangazi University [200823026]This work was supported by The Eskisehir Osmangazi University, The Scientific Research Projects Commission (project number:200823026)
Genetic Variability and Association Analysis of SomeQuantitative Characters in Sweet Corn
Get PDFThe objective of this study was to determine genetic variability, heritability, genetic advance, genotypic and phenotypic correlations of yield, yield components and kernel quality traits in seven sweet corn varieties. The present research was conducted during 2009 and 2010 growing season in Eskisehir, midwestern Turkey. The trials were set up in randomised complete block design with four replications. Analysis of variance observed highly significant differences for all the examined traits in both years. Sugar content, soluble solid concentration and number of leaves per plant revealed the highest genotypic and phenotypic coefficient of variation values. The high heritability estimates coupled with high genetic advance for sugar content, soluble solid concentration and starch content. Positive correlations were revealed between yield (husked, dehusked and fresh kernel) and yield components except plant height and 1000 seed weight. Negative correlations were found between kernel quality and yield and yield related traits. It can be concluded that, husked ear weight and dehusked ear weight could be used as the main criteria for yield improvement. It should be unfeasible to develop sweet corn varieties with satisfactory yield potential and improved kernel quality for the different sweet corn markets
Long noncoding RNA expression analysis in Crimean Congo hemorrhagic fever patients
No full textCrimean Congo hemorrhagic fever (CCHF) is an acute viral infection that can cause death. The detection of host transcriptome is important for understanding differences in the pathogenesis of the disease. Long noncoding RNAs (lncRNAs) regulate gene expression in different biological processes. They have also emerged as key molecules for therapeutic targets. We investigated the lncRNA gene expression profiles by utilizing the microarray for the first time in CCHF. LncRNAs were determined by the comparisons between case-control, fatal case-control, and fatal case-nonfatal cases. Quantitative polymerase chain reaction was applied to validate the microarray results of some lncRNAs. In our study, 39 lncRNAs (5 downregulated and 34 upregulated) were found to be significantly regulated in the cases when compared to the controls (p = 2). One hundred ten lncRNAs exhibited a statistically significant difference between fatal cases and controls. FER1L4, ECRP, and LOC100133669 are important lncRNAs in both case and fatal case groups compared with controls. These lncRNAs may be considered important therapeutic targets for the CCHF in further studies
Cyberattack Measures in Smart Cities and Grids
No full textIn recent years, the development of technology has contributed to the development of smart networks and cities. Internet of Things (IoT) technologies are used in smart cities and grids, and the security weaknesses of these technologies on communication protocols gain importance in terms of cybersecurity. Bus stops, traffic lights, public vehicles, street lamps, and similar materials in smart cities are designed by following the developing technology. In addition, the use of smart grids in the field of energy, such as natural gas, electricity, and water, has been increasing all over the world in recent years. Also, the rise of IoT can create wide vulnerabilities that cybercriminals and other malicious individuals can exploit. Neglecting cyberattacks poses a serious risk, as smart cities and grids are designed to increase productivity and efficiency in terms of well-being. Today, smart city systems have a very serious potential cybersecurity vulnerability, and these cyber risks can be reduced or eliminated with a few measures. With the development of technology, the cybersecurity problems of the systems used in smart networks and cities have become important. In this study, 17 cyberattacks in smart cities, grids, and used IoT systems, security vulnerabilities that may be encountered in these systems, and security measures that can be taken against them are given in detail. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG
Author Correction: Tunable optical and photovoltaic performance in PTB7-based coloured semi-transparent organic solar cells integrated MgF2/WO3 1D-photonic crystals via advanced light management
No full textA Lagrangian‐Eulerian hybrid model for the simulation of direct reduction of iron ore in fluidized beds
No full textFluidized bed and moving bed reactors are one of the most important technologies in several branches of process industry. Especially, it is known since decades that iron can be reduced rapidly and efficiently from iron carrier materials using such. The primary energy sources and reducing agents are natural gas, coal, coke, pulverized coal, which are finally released as CO2 and in a lesser extent as H2O to the environment. Iron reduction consumes about 70% of the energy during steelmaking therefore offering potential in energy and CO2 savings. Due to the limited accessibility for measurements, simulation methods have become one of the most important tools for optimizing the iron making processes. While the two-fluid model (Schneiderbauer et al., 2012) would be a good candidate to attack the simulation of large-scale multi-phase processes it lacks from a proper representation of the particle size distribution and the related physical phenomena. This, in turn, gives rise to particle-based approaches, such as the coupling between CFD and DEM methods, which can easily handle particle segregation, particle growth and particle mixing. Furthermore, chemical reactions can be evaluated per particle and it is not required to transfer these reactions to a continuum representation. However, CFD-DEM approaches require an appropriate coarse-graining to considerably reduce their computational demands. We, therefore, present a generalization of the Lagrangian-Eulerian hybrid model for the numerical assessment of reacting poly-disperse gas-solid flows (Schneiderbauer et al., 2016b) to fluidized beds used for iron ore reduction. The main idea of such a modeling strategy is to use a combination of a Lagrangian discrete phase model (DPM) and a coarse-grained two-fluid model (TFM) to take advantage of the benefits of those two different formulations. On the one hand, the DPM model unveils additional information such as the local particle size distribution, which is not covered by TFM. On the other hand, the TFM solution deflects the DPM trajectories due to the inter-particle stresses. This hybrid approach further enables the efficient evaluation of the gas-solid phase reduction of iron ore at a particle level using DPM. The predictive capability and numerical efficiency of this reactive hybrid modeling approach is demonstrated in the case of a lab-scale fluidized bed. The results show that the model is able to correctly predict fractional reduction of the iron ore. The results further give a closer insight about the temperatures and reaction gas consumption due to the reduction process.The authors want to acknowledge the support of Dr. Christoph Klaus-Nietrost, who provided the c-code for the reduction model developed during his PhD work "Development of Conversion Models for Iron-Carriers and Additives within a Melter-Gasifier or Blast Furnace" (Institute for Energy Systems and Thermodynamics, TU Vienna, 2016). This work was funded by the Christian-Doppler Research Association, the Austrian FederalMinistry of Economy, Family and Youth, and the Austrian National Foundation for Research, Technology and Development. The author also wants to acknowledge the financial support from the K1MET center for metallurgical research in Austria (www.k1-met.com).publishedVersio
Investigation of V-groove fabricated GaInNAs nipi solar cell structure
No full text© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.An anisotropic etching of 1 eV Ga0.92In0.08N0.03As0.97 grown on (100) p-type GaAs substrate was investigated. Effects of the V-groove etching profile and metallization on the photovoltaic performance of the GaInNAs nipi solar cell with five periods are presented. Experimental results were supported by simulation studies considering the metal–semiconductor junction characteristics in the electrodes of nipi photovoltaic device. Standard wet etching processes at room temperature is applied using sulfuric acid based H2SO4: H2O2: H2O [1:8:8] solution to form the V-groove shape on the nipi sample. The etching characteristics in the [100] and 〈 011 〉 crystal directions are determined by using an interdigitated square spiral photolithographic mask. The scanning electron microscope (SEM) is used to analyze the V-groove etch profile. Two type of V-grooves achieved, one of them is in the [1 1 ¯ 1] direction and suitable to form metal electrodes for nipi layers and the second one is in [1 ¯ 11] direction can be called a dovetail groove and not suitable for metal coating. Experimentally, the improvements observed in the short circuit current, open circuit voltage, and efficiency of the device despite some metallization failures. The effect of the metallization quality on the response to the spectrum can be clearly seen from the photovoltage spectrum. Essentially, these experimental results show that GaInNAs nipi devices have the potential to become high efficiency solar cells. Moreover, it can be possible to achieve high performance by integrating nipi devices into multijunction solar cells
