http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
FIXED POINT THEOREMS FOR (α,p)-NONEXPANSIVE MAPPINGS IN CAT(0) SPACES
Mehdi Asadi,Shahrokh Ghasemzadehdibagi,Somayeh Haghayeghi,Naeem Ahmad 경남대학교 기초과학연구소 2021 Nonlinear Functional Analysis and Applications Vol.26 No.5
We present some fixed point theorems for ((α_1, α_2, · · · , α_n), p)-nonexpansive mappings in CAT(0) spaces. Moreover the properties of the fixed points set are studied. Many of them have been derived from new condition on these mappings, which makes the nonexpansivemapping T_α :=α_1 T ⊕ α_2 T^2 ⊕ ·· ·⊕ α_n T^n.
Ata Allah Nadiri,Somayeh Asadi,Hamed Babaizadeh,Keivan Naderi 사단법인 한국계산역학회 2018 Computers and Concrete, An International Journal Vol.21 No.1
This study introduces the supervised committee fuzzy model as a hybrid fuzzy model to predict compressive strength (CS) of geopolymers prepared from alumina-silica products. For this purpose, more than 50 experimental data that evaluated the effect of Al2O3/SiO2, Na2O/Al2O3, Na2O/H2O and Na/[Na+K] on (CS) of geopolymers were collected from the literature. Then, three different Fuzzy Logic (FL) models (Sugeno fuzzy logic (SFL), Mamdani fuzzy logic (MFL), and Larsen fuzzy logic (LFL)) were adopted to overcome the inherent uncertainty of geochemical parameters and to predict CS. After validating the model, it was found that the SFL model is superior to MFL and LFL models, but each of the FL models has advantages to predict CS. Therefore, to achieve the optimal performance, the supervised committee fuzzy logic (SCFL) model was developed as a hybrid method to combine the benefits of individual FL models. The SCFL employs an artificial neural network (ANN) model to re-predict the CS of three FL model predictions. The results also show significant fitting improvement in comparison with individual FL models.
Majid Abdouss,Ebadullah Asadi,Saman Azodi-Deilami,Davood Kordestani,Alireza Rahimi,Somayeh Asadi 한국화학공학회 2014 Korean Journal of Chemical Engineering Vol.31 No.6
We prepared high selective imprinted nanoparticle polymers by a miniemulsion polymerization technique,using risperidone as the template, MAA as the functional monomers, and TRIM as the cross-linker in acetonitrileas solvent. The morphology of the nanoparticles determined by scanning electron microscopy (SEM) images and drugrelease, binding properties and dynamic light scattering (DLS) of molecularly imprinted polymers (MIPs) were studied. Controlled release of risperidone from nanoparticles was investigated through in 1% wt sodium dodecyl sulfate aqueoussolution and by measuring the absorbance by HPLC-UV. The results showed that the imprinted nanoparticles exhibiteda higher binding level and slower release rate than non-imprinted nanoparticles, which contributed to interaction ofrisperidone with imprinted cavities within nanoparticles. Furthermore, the results from HPLC showed good precision(5% for 50.0 g L-1) and recoveries (between 86-91) using MIP from human plasma samples.