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      • KCI등재

        Analysis of the Critical Current Density and Flux Pinning Properties in Iron-based Ba0.55K0.45Fe2As2 high-Tc Superconductor

        Dawood Ahmad,I. S. Park,G.C. Kim,Rock Kil Ko,J. H. Lee,김영철 한국물리학회 2013 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.62 No.12

        The critical current density and flux pinning properties of the Ba0.55K0.45Fe2As2 high-Tc superconductorwith Tc = 37 K are studied using the field and the time dependences of the magnetization. The temperature dependence of the critical current density Jc(T) has been found to follow the formJc / (1−T/Tc)n and is consistent with Tc-type pinning due to randomly-distributed defects thatare larger than the coherence length . The temperature dependence of the magnetic relaxationrate S exhibits a peak at a much lower temperature, which corresponds to a smaller pinning energyin the Ba0.55K0.45Fe2As2 superconductor. Moreover, the effective pinning potential Uo increaseswith increasing temperature and this behavior is in agreement with those of high-Tc cuprate superconductors.

      • SCOPUSKCI등재

        Reduction of the cetrorelix dose in a multiple-dose antagonist protocol and its impact on pregnancy rate and affordability: A randomized controlled multicenter study

        Dawood, Ayman S.,Algergawy, Adel,Elhalwagy, Ahmed The Korean Society for Reproductive Medicine 2017 Clinical and Experimental Reproductive Medicine Vol.44 No.4

        Objective: To determine whether reducing the cetrorelix dose in the antagonist protocol to 0.125 mg had any deleterious effects on follicular development, the number and quality of retrieved oocytes, or the number of embryos, and to characterize its effects on the affordability of assisted reproductive technology. Methods: This randomized controlled study was conducted at the Fertility Unit of Tanta Educational Hospital of Tanta University, the Egyptian Consultants' Fertility Center, and the Qurrat Aien Fertility Center, from January 1 to June 30, 2017. Patients' demographic data, stimulation protocol, costs, pregnancy rate, and complications were recorded. Patients were randomly allocated into two groups: group I (n = 61) received 0.125 mg of cetrorelix (the study group), and group II (n = 62) received 0.25 mg of cetrorelix (the control group). Results: The demographic data were comparable regarding age, parity, duration of infertility, and body mass index. The dose of recombinant follicle-stimulating hormone units required was $2,350.43{\pm}150.76$ IU in group I and $2,366.25{\pm}140.34$ IU in group II, which was not a significant difference (p= 0.548). The duration of stimulation, number of retrieved oocytes, and number of developed embryos were not significantly different between the groups. The clinical and ongoing pregnancy rates likewise did not significantly differ. The cost of intracytoplasmic sperm injection per cycle was significantly lower in group I than in group II (US $ $494.66{\pm}4.079$ vs. US $ $649.677{\pm}43.637$). Conclusion: Reduction of the cetrorelix dose in the antagonist protocol was not associated with any significant difference either in the number of oocytes retrieved or in the pregnancy rate. Moreover, it was more economically feasible for patients in a low-resource country.

      • SCOPUSKCI등재

        Current clinical applications of platelet-rich plasma in various gynecological disorders: An appraisal of theory and practice

        Dawood, Ayman Shehata,Salem, Hesham Abdelaziz The Korean Society for Reproductive Medicine 2018 Clinical and Experimental Reproductive Medicine Vol.45 No.2

        The purpose of this paper is to review the current clinical uses of platelet-rich plasma (PRP) in the field of gynecology. All relevant articles published from January 2000 to December 2017 were reviewed and analyzed. The articles on PRP in the field of gynecology were mainly case series, pilot studies, or case reports. PRP is currently considered a new therapeutic modality for some disorders that are refractory to conventional drugs.

      • KCI등재

        Envelopes Of Submodules

        Dawood Hassanzadeh-Lelekaami 호남수학회 2017 호남수학학술지 Vol.39 No.4

        We introduce and investigate envelope of submodules. We show that the proper envelopes of certain submodules is a union of prime submodules.

      • SCIESCOPUSKCI등재

        A New method for the Calculation of Leakage Reactance in Power Transformers

        Dawood, Kamran,Alboyaci, Bora,Cinar, Mehmet Aytac,Sonmez, Olus The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.5

        Transformers are one of the most precious elements of the electric power system. Stability and reliability of the electric power network mainly depend on the working of the transformer. Leakage reactance of the transformer is one of the important factors and accurate calculation of the leakage reactance is necessary for the transformer designers and electric distributors. Leakage reactance of the transformer depends on the geometry of the transformer. There are many different methods for the calculations of the leakage reactance however mostly are usable when the axial heights of the high voltage and low voltage windings are equal. When the axial heights of high voltage and low voltage windings are asymmetric most of the analytical methods are not reliable. In this study, a new analytical method is introduced for the calculation of the leakage reactance. Fourteen different transformers are investigated in this study and four of them are presented in this paper. The results of the new analytical method are compared with the experimental results. Other analytical and numerical methods are also compared with this new method. Results show that this method is more reliable and accurate as compared to the other analytical methods. The maximum relative error between short-circuit test and proposed method for these fourteen transformers was less than 2.8%.

      • KCI등재

        The doping dependence of the irreversibility line in grain-aligned Sm1−xEuxBa2Cu3O7−δ high-Tc superconductor

        Dawood Ahmad,송태권,Insuk Park,G.C. Kim,김영철 한국물리학회 2010 Current Applied Physics Vol.10 No.5

        The irreversible properties of a rare-earth high-Tc superconductor are investigated using grain-aligned Sm1-xEuxBa2Cu3O7−δ (x = 0.0, 0.3, 0.5, 0.7, and 0.9) samples. The samples were synthesized using the usual solid–state reaction method. It is found that the transition temperature Tc and the critical current density Jc calculated by the Bean model are significantly improved in the optimally doped samples (x = 0.5 and 0.7). Furthermore, the double logarithmic graph of the irreversibility line Birr in the grain-aligned series samples obeys approximately a power law dependence . Results show that in the case of optimally doped samples with x = 0.5 and 0.7 the graph of Birr is fitted well with the relation with the model-dependent parameter n ∼1.5 without any crossover in the entire temperature range, while in samples with x = 0.0, 0.3, and 0.9 Birr does show a prominent crossover and can be characterized with n ∼1.5 only near Tc, above which Birr varies more rapidly. Finally, it is suggested that Birr is strongly dependent on the extrinsic properties of our grain-aligned samples.

      • KCI등재

        Optimization and Analysis of Leakage Reactance for a Converter Transformer of the Electric Transport System

        Dawood Kamran,Kömürgöz Güven,Işik Fatih 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.1

        Converter transformers are widely used in the electric transport system and it is crucial equipment for the rectifer unit of the transport’s tracking substations. Leakage reactance is a crucial criterion during the development of a converter transformer. Almost all of the analytical methods consider only the axial leakage fux density during the evaluation of the leakage reactance. Radial leakage fux density is neglected in the analytical methods. Neglecting the radial leakage fux density during the computation of the leakage reactance in the two-winding transformers and other power transformers does not signifcantly afect the results. However, in the case of the converter transformers, radial leakage fux density also needs to be fully considered. In some of the converter transformers; windings, core, insulation material, and other parts of the transformer are so complex that analytical methods are impossible or difcult to implement. Hence, any other method is needed to evaluate the diferent parameters of the transformer. The optimal selection of leakage reactance is an important parameter during the design of the converter transformer. Numerical computational methods are one of the most commonly used techniques to solve and analyse the complex models of transformers. To accurately compute the leakage reactance of the electric transport system transformer (traction transformer), a transient method is used, which considers the efect of the radial leakage fux density. A prototype converter transformer of the electric transport system has been developed to obtain the experimental results. A transient method results and prototype transformer results show excellent agreement and verify the correctness of the fnite element model. The results of the traditional analytical and magnetostatics fnite element analysis are also compared with the short-circuit experimental test.

      • KCI등재

        Machine Learning Technique for the Prediction of Blended Concrete Compressive Strength

        Dawood S. A. Jubori,Abu B. Nabilah,Nor A. Safiee,Aidi H. Alias,Noor A. M. Nasir 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.2

        Predicting concrete strength is complex due to the high non-linearity involved in strength development, especially when using supplementary cementitious materials (SCMs) such as fly ash, silica fume, and GGBS. In this paper, an artificial neural network has been used to predict the compressive strength of concrete for four cases, namely concrete without cement replacement, and binary, ternary, and quaternary cement concretes corresponding to one, two and three different SCMs in the mix. To predict the strength accurately, a total of 1013 data were collected from 37 literature and trained using two training algorithms namely Levenberg-Marquardt (LM) and Bayesian Regularization (BR). The best predictions were achieved using one hidden layer with 14 and 15 neurons for LM and BR algorithms respectively. A high accuracy has been achieved with a correlation factor of 0.97 and 0.966 using the BR and LM algorithms respectively, with a20-index of 83%. Generally, the BR algorithm gives a better overall performance, while underestimating the compressive strength compared to LM. Sensitivity analysis has also been investigated using linear and quadratic regressions. The findings showed that the highest contributors to concrete strength were cement and water, while the lowest contributor was coarse aggregate.

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