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Modeling viscosity of methane,nitrogen,and hydrocarbon gas mixtures at ultra-high pressures and temperatures using group method of data handling and gene expression programming techniques

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Chinese Journal of Chemical Engineering 2021年第4期34卷 431-445页

作者： Farzaneh Rezaei saeed Jafari Abdolhossein Hemmati-Sarapardeh amir H.Mohammadi Department of Petroleum Engineering Shahid Bahonar University of KermanKermanIran Institute of Research and Development Duy Tan UniversityDa Nang 550000Vietnam Faculty of Environment and Chemical Engineering Duy Tan UniversityDa Nang 550000Vietnam Institut de Recherche en Genie Chimique et Petrolier(IRGCP) Paris CedexFrance Discipline of Chemical Engineering School of EngineeringUniversity of KwaZulu-NatalHoward College CampusKing George V AvenueDurban 4041South Africa

Accurate gas viscosity determination is an important issue in the oil and gas *** approaches for gas viscosity measurement are timeconsuming,expensive and hardly possible at high pressures and high temperatures(HPHT).In this study,a number of correlations were developed to estimate gas viscosity by the use of group method of data handling(GMDH)type neural network and gene expression programming(GEP)techniques using a large data set containing more than 3000 experimental data points for methane,nitrogen,and hydrocarbon gas *** is worth mentioning that unlike many of viscosity correlations,the proposed ones in this study could compute gas viscosity at pressures ranging between 34 and 172 MPa and temperatures between 310 and 1300 ***,a comparison was performed between the results of these established models and the results of ten wellknown models reported in the *** absolute relative errors of GMDH models were obtained 4.23%,0.64%,and 0.61%for hydrocarbon gas mixtures,methane,and nitrogen,*** addition,graphical analyses indicate that the GMDH can predict gas viscosity with higher accuracy than GEP at HPHT ***,using leverage technique,valid,suspected and outlier data points were ***,trends of gas viscosity models at different conditions were evaluated.

关键词： Gas Viscosity High pressure high temperature Group method of data handling Gene expression programming

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Distributed Optimal Control for Traffic Networks with Fog Computing

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China Communications 2019年第10期16卷 202-213页

作者： Yijie Wang Lei Wang saeed amir Qing-Guo Wang Department of Operations Research at the University of Texas at Austin AustinTexas76019 USA School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191 China Faculty of Engineering and the Built Environment Institute for Intelligent SystemsUniversity of JohannesburgJohannesburg 2006South Africa

This paper presents a distributed optimization strategy for large-scale traffic network based on fog computing. Different from the traditional cloud-based centralized optimization strategy, the fog-based distributed optimization strategy distributes its computing tasks to individual sub-processors, thus significantly reducing computation time. A traffic model is built and a series of communication rules between subsystems are set to ensure that the entire transportation network can be globally optimized while the subsystem is achieving its local optimization. Finally, this paper numerically simulates the operation of the traffic network by mixed-Integer programming, also, compares the advantages and disadvantages of the two optimization strategies.

关键词： fog computing traffic network distributed optimization distributed control

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Biodistribution study of [^(61)Cu]pyruvaldehyde-bis (N-4-methylthiosemicarbazone) in normal rats as a PET tracer

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Nuclear Science and Techniques 2008年第3期19卷 159-164页

作者： amir Reza JALILIAN saeed SHANESAZZADEH Pejaman ROWSHANFARZAD Fatemeh BOLOURINOVIN Abbas MAJDABADI Nuclear Medicine Research Group Agriculture Medicine and Industrial Research School (AMIRS) Karaj Iran Department of Medical Physics Tehran University of Medical Sciences Tehran Iran

[61Cu]-labeled pyruvaldehyde-bis(N-4-methylthiosemicarbazone) (61Cu-PTSM), a promising agent made for imaging blood perfusion, was produced via the natZn(p,x)61Cu nuclear reaction in a 30 MeV cyclotron, and separated by a two-step column chromatography method developed in our laboratory using a cation and an anion exchange resin. After 150 μA irradiation for 76 min, about 6.006 Ci of 61Cu2+ was obtained with a radiochemical separation yield of 95% and a radionuclidic purity of 99%. Cu-PTSM was prepared using an optimized method with 61 in-house synthesized PTSM ligand for radiolabeling following quality control procedures using RTLC and HPLC. The tracer is mostly incorporated in heart, kidneys and brain compared to free copper cation as a control. These are in agreement with former reports. In conclusion, [61Cu]-PTSM was prepared at the radiopharmaceutical scales with high quality and is a potential PET tracer in the perfusion study of the heart, kidney, brain and tumors.

关键词：同位素放射诊断体内分解放射性同位素示踪

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Biochemical response to lamivudine treatment in HBeAg negative chronic hepatitis B patients in Iran

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World Journal of Gastroenterology 2006年第26期12卷 4203-4205页

作者： amir Houshang Mohammad Alizadeh Mitra Ranjbar Babak Karimi saeed Hatami Research Center for Gastroenterology and Liver Disease Shaheed Beheshti University of Medical Sciences TehranIran Infectious Disease Specialist Hamadan University of Medical Sciences and Health Services Iran General Practitioner Hamadan University of Medical Sciences and Health Services Iran

AIM： To study the effect of a one-year lamivudine regimen in patients with chronic hepatitis B. METHODS： Medical records of HBeAg negative hepatitis B patients who attended a hepatitis clinic in Tehran between March 2002-March 2004 were evaluated. The patients received 100 mg lamivudine tablets once daily for at least 12 mo. Liver enzymes and complete blood count were checked at baseline and the end of treatment （12th mo） and 6 mo after discontinuation of treatment. RESULTS： Of all patients, 24 were excluded. Of 71 patients left, 58 （81.7%） were men. Mean age of the patients was 38 ± 14 years. Mean level of ALT in serum was 1437 ± 205 nkat/L at baseline with a significant reduction at the end of treatment to a mean level of 723 ± 92 nkat/L （P = 0.002）. In 38 patients （53.5%）, the ALT level was normal after one-year treatment. Five patients （7.3%） relapsed （biochemically） within 6 mo after discontinuing lamivudine therapy （the patients with good end of treatment response）. Mean level of AST in serum was 1060 ± 105 nkat/L at baseline which decreased significantly to 652 ± 75 nkat/L at the end of treatment （P = 0.002）. CONCLUSION： Over half （53.5%） of chronic hepatitis B patients with HBeAg negative have normal liver enzyme level at 12-mo lamivudine therapy.

关键词： Chronic hepatitis B Lamivudine HBeAg

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Courtyard design impact on indoor thermal comfort and utility costs for residential households: Comparative analysis and deep-learning predictive model

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Frontiers of Architectural Research 2022年第5期11卷 963-980页

作者： amir Tabadkani Sara Aghasizadeh saeed Banihashemi Aso Hajirasouli School of Architecture and Built Environment Deakin UniversityGeelongAustralia Department of Architectural Technology Faculty of Architecture and UrbanismUniversity of ArtTehranIran Design&Built Environment School University of CanberraCanberraAustralia School of Architecture and Built Environment Queensland University of TechnologyQueenslandAustralia

A courtyard is an architectural design element which is often known as microclimate modifiers and is responsible to increase the indoor occupant comfort in traditional architecture. The aim of this study is to conduct a parametric evaluation of courtyard design variants in a residential building of different climates with a focus on indoor thermal comfort and utility costs. A brute-force approach is applied to generate a wide range of design alternatives and the simulation workflow is conducted by Grasshopper together with the environmental plugins Ladybug and Honeybee. The main study objective is the evaluation of the occupant thermal comfort in an air-conditioned residential building, energy load, and cost analysis, derived from different design variables including courtyard geometry, window-to-wall ratio, envelope materials, heating, and cooling set-point dead-bands, and building geographical location. Furthermore, a Deep Learning model is developed using the inputs and outputs of the simulation and analysis to transform the outcomes into the algorithmic and tangible environment feasible for predictive applications. The results suggest that regarding the thermal loads, costs, and indoor thermal comfort index (PMV), there are high correlations between the outdoor weather variation and dead-band ranges, while in extreme climates such as Singapore, courtyard spaces might not be efficient enough as expected. Finally, the highly accurate deep learning model is also developed, delivering superior predictive capabilities for the thermal comfort and utility costs of the courtyard designs.

关键词： Parametric design Courtyard microclimate Occupant comfort Building energy consumption Deep learning neural network Residential

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Real-Time Detection of Cracks on Concrete Bridge Decks Using Deep Learning in the Frequency Domain

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Engineering 2021年第12期7卷 1786-1796页

作者： Qianyun Zhang Kaveh Barri saeed K.Babanajad amir H.Alavi Department of Civil and Environmental Engineering University of PittsburghPittsburghPA 15261USA Wiss JanneyElstner Associates Inc.NorthbrookIL 60062USA Department of Computer Science and Information Engineering Asia UniversityTaichungTaiwan 41354China

This paper presents a vision-based crack detection approach for concrete bridge decks using an integrated one-dimensional convolutional neural network(1D-CNN)and long short-term memory(LSTM)method in the image frequency *** so-called 1D-CNN-LSTM algorithm is trained using thousands of images of cracked and non-cracked concrete bridge *** order to improve the training efficiency,images are first transformed into the frequency domain during a preprocessing *** algorithm is then calibrated using the flattened frequency *** is used to improve the performance of the developed network for long sequence *** accuracy of the developed model is 99.05%,98.9%,and 99.25%,respectively,for training,validation,and testing *** implementation framework is further developed for future application of the trained model for large-scale *** proposed 1D-CNN-LSTM method exhibits superior performance in comparison with existing deep learning methods in terms of accuracy and computation *** fast implementation of the 1D-CNN-LSTM algorithm makes it a promising tool for real-time crack detection.

关键词： Crack detection Concrete bridge deck Deep learning Real-time

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Condition Monitoring of an Industrial Oil Pump Using a Learning Based Technique

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Sound & Vibration 2020年第4期54卷 257-267页

作者： Amin Ranjbar amir Abolzafl Suratgar saeed Shiry Ghidary Jafar Milimonfared Distributed and Intelligent Optimization Research Laboratory Department of Electrical EngineeringAmirkabir University of TechnologyTehran***Iran Department of Computer Engineering Amirkabir University of TechnologyTehran***Iran Department of Electrical Engineering Amirkabir University of TechnologyTehran***Iran

This paper proposes an efficient learning based approach to detect the faults of an industrial oil *** proposed method uses the wavelet transform and genetic algorithm(GA)ensemble for an optimal feature extraction *** features,which are dominated through this method,can remarkably represent the mechanical faults in the damaged *** the aim of condition monitoring,we considered five common types of malfunctions such as casing distortion,cavitation,looseness,misalignment,and unbalanced mass that occur during the machine *** proposed technique can determine optimal wavelet parameters and suitable statistical functions to exploit excellent features via an appropriate distance criterion ***,our optimization algorithm chooses the most appropriate feature submatrix to improve the final accuracy in an iterative *** a case study,the proposed algorithms are applied to experimental data gathered from an industrial heavy-duty oil pump installed in Arak Oil Refinery *** experimental results are very promising.

关键词： Condition monitoring fault assessment industrial pump genetic algorithm wavelet packet decomposition

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In vitro anti-leishmanial activity of methanolic extracts of Calendula officinalis flowers, Datura stramonium seeds, and Salvia officinalis leaves

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Chinese Journal of Natural Medicines 2014年第6期12卷 423-427页

作者： Banafsheh Nikmehr Habib Ghaznavi amir Rahbar Samira Sadr saeed Mehrzadi Department of Anatomy Tehran University of Medical Sciences Tehran Iran Cellular and Molecular Research Center Zahedan University of Medical Sciences Zahedan Iran Department of Pharmacology School of Medicine Iran University of Medical Sciences Tehran Iran Department of Pathobiology Veterinary Faculty Shahid Chamran University Ahwaz Iran Faculty of Veterinary Medicine University of Tehran Tehran Iran Core Facilities Iran University of Medical Sciences Tehran Iran

AIM: The anti-leishmanial activity of methanolic extracts of Calendula officinalis flowers, Datura stramonium seeds, and Salvia officinalis leaves against extracellular(promastigote) and intracellular(amastigote) forms of Leishmania major were evaluated in this study. METHOD: In the first stage, promastigote forms of L. major, were treated with different doses of the plant extracts in a 96-well tissue-culture microplate and IC50 values for each extract were measured with colorimetric MTT assay. In the second stage, macrophage cells were infected with L. major promastigotes. Infected macrophages were treated with plant extracts. Then the macrophages were stained with Gimsa and the number of infected macrophages and amastigotes were counted with a light microscope. RESULTS: The results indicated that the plant extracts inhibited the growth of promastigotes and amastigotes of L. major. Inhibitory concentrations(IC50) for promastigote assay were 108.19, 155.15, and 184.32 μg·mL-1 for C. officinalis flowers, D. stramonium seeds and S. officinalis, respectively. The extracts also reduced the number of amastigotes in macrophage cells from 264 for control group to 88, 97, and 102 for test groups. Although the anti-leishmanial activity of the extracts were not comparable with the standard drug, miltefosine; but they showed significant efficiency in reducing the number of amastigotes in macrophages, in comparison with the control group(P < 0.001). These plant extracts had lower toxicity compared with miltefosine. CONCLUSION: This study demonstrates the potential efficacy of the methanolic extracts of C. officinalis flowers, D. stramonium seeds, and S. officinalis leaves to control of cutaneous leishmaniasis.

关键词： Leishmania major Promastigote Amastigote Calendula officinalis Datura stramonium Salvia officinalis

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Prediction of new perforation intervals in a depleted reservoir to achieve the maximum productivity: A case study of PNN logging in a cased-well of an Iranian oil reservoir

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Petroleum 2020年第2期6卷 170-176页

作者： saeed Zaker Shahab mohamadi nafchi Mahdi Rastegarnia Soheila Bagheri Ali Sanati amir Naghibi Islamic Azad University Science and Research BranchTehranIran Islamic Azad University Central BranchTehranIran Head of Petrophysics Section Petro Pardazesh Aria CompanyTehranIran Senior Petrophysicist OTS CompanyTehranIran School of Petrochemical and Petroleum Engineering Hakim Sabzevari UniversitySabzevarIran Senior Petrophysicist Iranian Central Oil Field CompanyTehranIran

Pulsed neutron-neutron(PNN)logging is based on emitting neutrons into the near-wellbore zone and computing the neutron count decay due to scattering and *** main application of this logging tool is to determine the current oil saturation and to detect channeling in perforated and non-perforated intervals behind the *** interpretation of the results obtained from PNN logging enables engineers to predict new perforation intervals in depleted *** study examines the application of PNN logging in a well located in one of Iranian oil *** interpretation procedure is described step by *** principle of the PNN logging and the specifications of the tool are discussed and the applications of PNN logging in evaluation of oil saturation,identification of water flooded zones and prediction of potential perforating zones are *** is also investigated between all layers,good and poor oil zones are characterized based on the calculated oil saturations and new perforation intervals are suggested with the aim to boost oil production from the *** results of this study show that zones 1 to 5 having low oil saturations,are interpreted as depleted oil *** 6 to 8 are interpreted as good oil zones having high potential to produce *** 9 is interpreted as a water zone.

关键词： Pulse neutron-neutron(PNN)logging Sigma value Remaining oil saturation Conventional logging Perforation intervals Depleted reservoir

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Isothermal, kinetic, and thermodynamic studies for solid-phase extraction of uranium(VI) via hydrazine-impregnated carbonbased material as efficient adsorbent

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Nuclear Science and Techniques 2019年第11期30卷 41-51页

作者： A.Morsy M.H.Taha Muhammad saeed amir Waseem Muhammad Asad Riaz M.M.Elmaadawy Nuclear Materials Authority El MaddiP.O.Box 530CairoEgypt Department of Chemistry Quaid-i-Azam UniversityIslamabad 45320Pakistan

The current study describes the application of a new extraction method for efficient uranium adsorption via cost-effective hydrazine-impregnated activated *** experimental parameters such as time, adsorbent weight, temperature(°C), and uranium concentration were thoroughly investigated. The synthesized adsorbent was characterized via X-ray diffraction, Fourier transformation infrared spectroscopy(FT-IR), scanning electron microscopy, and thermogravimetric analysis. The results showed86% uranium extraction under optimized conditions(20% P2O5 at 25 °C, 120 min). The obtained findings fit well with thermodynamic and isothermal(Langmuir and Freundlich isotherms) models and pseudo second-order kinetics. In thermodynamic studies, the negative sign of(DG°) specified the spontaneity of process, the negative sign of(DH°) revealed endothermicity, and the positive sign of(DS°) showed high randomness after adsorption.

关键词： Uranium Adsorption Phosphoric acid Hydrazine Carbon

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