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RISS 인기검색어
- 검색키워드
- 저자 : Ali Aminian (검색결과 3 건)
- 무료
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Ali Aminian,Mansour Jahangiri 한국화학공학회 2014 Korean Journal of Chemical Engineering Vol.31 No.5
Velocity profiles are helpful for the confident design of mixing tanks and chemical reactors in mixing processes. A fuzzy model and an artificial neural network have been presented for accurate prediction of velocity distributionof Rushton turbine impeller (RTI) for the mixing of polymeric liquids in the lower transition region: 35<Re'<1800. Local tangential and radial velocities were predicted along the discharge plane of the impeller. Experimental data wereused for training, validation, and testing the neuromorphic models. The presented models are very accurate and reliablein predicting the velocity profiles over wide ranges of polymer concentrations and rotational speed. Comparison of thesuggested fuzzy model and the empirical correlations shows that the proposed model outperforms the other alternativesboth in accuracy and generality. The results show that the proposed neuromorphic models can successfully be usedfor prediction of velocity distribution in agitated tanks for viscoelastic polymeric fluids.
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Bahman Zarenezhad,Ali Aminian 한국화학공학회 2011 Korean Journal of Chemical Engineering Vol.28 No.5
A multi-layer feed-forward artificial neural network has been presented for accurate prediction of the vapor liquid equilibrium (VLE) of CO_2+alkanol mixtures. Different types of alkanols namely, 1-propaol, 2-propanol, 1-butanol,1-pentanol, 2-pentanol, 1-hexanol and 1-heptanol, are used in this study. The proposed network is trained using the Levenberg-Marquardt back propagation algorithm, and the tan-sigmoid activation function is applied to calculate the output values of the neurons of the hidden layers. According to the network's training, validation and testing results,a six layer neural network is selected as the best architecture. The presented model is very accurate over wide ranges of experimental pressure and temperatures. Comparison of the suggested neural network model with the most important thermodynamic correlations shows that the proposed neuromorphic model outperforms the other available alternatives. The predicted equilibrium pressure and vapor phase CO_2 mole fraction are in good agreement with experimental data suggesting the accuracy of the proposed neural network model for process design.
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Mansour-Ghanaei, Fariborz,Sokhanvar, Homayoon,Joukar, Farahnaz,Shafaghi, Afshin,Yousefi-Mashhour, Mahmud,Valeshabad, Ali Kord,Fakhrieh, Saba,Aminian, Keyvan,Ghorbani, Kambiz,Taherzadeh, Zahra,Sheykhia Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.4
Background & Objectives: Gastric cancer is a leading cause of cancer-related deaths in both sexes in Iran. This study was designed to assess upper GI endoscopic findings among people > 50 years targeted in a mass screening program in a hot-point region. Methods: Based on the pilot results in Guilan Cancer Registry study (GCRS), one of the high point regions for GC-Lashtenesha- was selected. The target population was called mainly using two methods: in rural regions, by house-house direct referral and in urban areas using public media. Upper GI endoscopy was performed by trained endoscopists. All participants underwent biopsies for rapid urea test (RUT) from the antrum and also further biopsies from five defined points of stomach for detection of precancerous lesions. In cases of visible gross lesions, more diagnostic biopsies were taken and submitted for histopathologic evaluation. Results: Of 1,394 initial participants, finally 1,382 persons (702 women, 680 men) with a mean age of $61.7{\pm}9.0$ years (range: 50-87 years) underwent upper GI endoscopy. H. pylori infection based on the RUT was positive in 66.6%. Gastric adenocarcinoma and squamous cell carcinoma of esophagus were detected in seven (0.5%) and one (0.07%) persons, respectively. A remarkable proportion of studied participants were found to have esophageal hiatal hernia (38.4%). Asymptomatic gastric masses found in 1.1% (15) of cases which were mostly located in antrum (33.3%), cardia (20.0%) and prepyloric area (20.0%). Gastric and duodenal ulcers were found in 5.9% (82) and 6.9% (96) of the screened population. Conclusion: Upper endoscopy screening is an effective technique for early detection of GC especially in high risk populations. Further studies are required to evaluate cost effectiveness, cost benefit and mortality and morbidity of this method among high and moderate risk population before recommending this method for the GC surveillance program at the national level.
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