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A Novel Cultural Crowd Model Toward Cognitive Artificial Intelligence

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Computers, Materials & Continua 2021年第12期69卷 3337-3363页

作者： Fatmah Abdulrahman Baothman Osama Ahmed Abulnaja Fatima jafar Muhdher Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21431Kingdom of Saudi Arabia

Existing literature shows cultural crowd management has unforeseen issues due to four dynamic elements;time,capacity,speed,and *** variations are increasing the complexity level because each mass and event have different characteristics and ***,no prior study has employed the six Hofstede Cultural Dimensions(HCD)for predicting crowd *** study aims to develop the Cultural Crowd-Artificial Neural Network(CC-ANN)learning model that considers crowd’s HCD to predict their physical(distance and speed)and social(collectivity and cohesion)*** model was developed towards a cognitive intelligent decision support tool where the predicted characteristics affect the estimated regulation plan’s time and *** designed the experiments as four groups to analyze the proposed model’s outcomes and extract the interrelations between the HCD of crowd’s grouped individuals and their physical and social ***,the extracted interrelations were verified with the dataset’s statistical correlation analysis with a P-value<*** demonstrate that the predicted crowd’s characteristics were positively/negatively affected by their considered cultural ***,analyzing outcomes identified the most influential HCD for predicting crowd *** results also show that the CC-ANN model improves the prediction and learning performance for the crowd behavior because the achieved accepted level of accuracy does not exceed 10 to 20 epochs in most ***,the performance improved by 90%,93%respectively in some ***,all prediction best cases were related to one or more cultural features with a low error of 0.048,0.117,0.010,and 0.014 mean squared error,indicating a novel cultural learning model.

关键词： Cultural crowds learning model artificial neural network hHofstede cultural dimensions predicting group behaviors crowd management

Multigene genetic programming for sediment transport modeling in sewers for conditions of non-deposition with a bed deposit

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International Journal of Sediment Research 2018年第3期33卷 262-270页

作者： Mir jafar Sadegh Safari Ali Danandeh Mehr Department of Civil Engineering Urmia University Department of Civil Engineering University of Tabriz Department of Civil Engineering Antalya Bilim University

It is known that construction of large sewers based on consideration of flow with non-deposition without a bed deposit is not economical. Sewer design based on consideration of flow with nondeposition with a bed deposit reduces channel bed slope and construction cost in which the presence of a small depth of sediment deposition on the bed increases the sediment transport capacity of the *** paper suggests a new Pareto-optimal model developed by the multigene genetic programming(MGGP) technique to estimate particle Froude number(Frp) in large sewers with conditions of sediment deposition on the bed. To this end, four data sets including wide ranges of sediment size and concentration, deposit thickness, and pipe size are used. On the basis of different statistical performance indices, the efficiency of the proposed Pareto-optimal MGGP model is compared to those of the best MGGP model developed in the current study as well as the conventional regression models available in the literature. The results indicate the higher efficiency of the MGGP-based models for Frp estimation in the case of no additional deposition onto a bed with a sediment deposit. Inasmuch as the Pareto-optimal MGGP model utilizes a lower number of input parameters to yield comparatively higher performance than the conventional regression models, it can be used as a parsimonious model for self-cleansing design of large sewers in practice.

关键词： Bed load Bed deposition Non-deposition Multigene genetic programming Sediment transport Sewer

Towards a self-adaptive service-oriented methodology based on extended SOMA

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Frontiers of Information Technology & Electronic Engineering 2015年第1期16卷 43-69页

作者： Alireza PARVIZI-MOSAED Shahrouz MOAVEN jafar HABIBI Ghazaleh BEIGI Mahdieh NASER-SHARIAT Computer Engineering Department Sharif University of Technology Tehran 11155-11365 Iran

We propose a self-adaptive process （SAP） that maintains the software architecture quality using the MAPE-K standard model. The proposed process can be plugged into various software development processes and service-oriented meth- odologies due to its explicitly defined inputs and outputs. To this aim, the proposed SAP is integrated with the service-oriented modeling and application （SOMA） methodology in a two-layered structure to create a novel methodology, named self-adaptive service-oriented architecture methodology （SASOAM）, which provides a semi-automatic self-aware method by the composition of architectural tactics. Moreover, the maintenance activity of SOMA is improved using architectural and adaptive patterns, which results in controlling the software architecture quality. The improvement in the maintainability of SOMA is demonstrated by an analytic hierarchy process （AHP） based evaluation method. Furthermore, the proposed method is applied to a case study to represent the feasibility and practicality of SASOAM.

关键词： Service-oriented architecture Self-adaptive process Architectural pattern Quality attribute Adaptation pattern Architectural tactic

The Comparative Study of Gelatin/CNT-contained Mg-Ca-P Bone Cement with the Plain and CNT-reinforced Ones

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Journal of Bionic Engineering 2021年第3期18卷 623-636页

作者： Mohammad Hossein Esnaashary Masoud Karfarma Hamid Reza Rezaie Alireza Khavandi jafar Javadpour School of Metallurgical and Materials Engineering Iran University of Science and TechnologyNarmakTehran16844Iran

Mimicking compositional and constructional features of the extracellular matrix(ECM)is an effective parameter in improving the biological response of *** this regard,carbon nanotube(CNT)and gelatin were added to magnesium-calcium phosphate cement(CNG)to mimic fibrillar construction and organic composition of ECM,respectively,besides the CNG performance was compared with the plain and CNT-reinforced *** behavior of the cements was investigated by evaluating their setting time,cement composition variation during setting,and viscosity ***,compressive strength,degradation,and cell response of the cements were *** 5 wt.%gelatin reduced setting time about 60%,because of gel formation,not due to struvite ***,the gelatin decreased compressive strength by about 20%.Although gelatin decreased compressive strength,the strength remained in the range attributed to trabecular *** the types of cement indicated shear thinning behavior that made their injectability *** to other types of cement,CNG enhanced proliferation and differentiation of mesenchymal stem cells besides faster degradation,nontoxicity and suitable cell ***,mimicking features of CNG enhanced osteoconductivity and osteoinductivity of the cement compared to the plain one.

关键词： magnesium phosphate cement gelatin carbon nanotube bone mimicking cell response bone cement biomaterials

Developing a multi-objective,multi-item inventory model and three algorithms for its solution

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Journal of Zhejiang University-Science C(Computers and Electronics) 2012年第8期13卷 601-612页

作者： Ommolbanin YOUSEFI Mirbahadorgholi ARYANEZHAD Seyed jafar SADJADI Arash SHAHIN Department of Industrial Engineering Iran University of Science and TechnologyTehranIran Department of Management University of IsfahanIsfahanIran

We develop a multi-objective model in a multi-product inventory *** proposed model is a joint replenishment problem(JRP) that has two objective *** first one is minimization of total ordering and inventory holding costs,which is the same objective function as the classic *** increase the applicability of the proposed model,we suppose that transportation cost is independent of time,is not a part of holding cost,and is calculated based on the maximum of stored inventory,as is the case in many real inventory ***,the second objective function is minimization of total transportation *** solve this problem three efficient algorithms are ***,the RAND algorithm,called the best heuristic algorithm for solving the JRP,is modified to be applicable for the proposed problem.A multi-objective genetic algorithm(MOGA) is developed as the second algorithm to solve the ***,the model is solved by a new algorithm that is a combination of the RAND algorithm and *** performances of these algorithms are then compared with those of the previous approaches and with each other,and the findings imply their ability in finding Pareto optimal solutions to 3200 randomly produced problems.

关键词： Joint replenishment oroblem Multi-obiective genetic algorithm RAND al-orithm

Laser-assisted growth of hierarchically architectured 2D MoS2 crystals on metal substrate for potential energy applications

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International Journal of Extreme Manufacturing 2022年第4期4卷 235-244页

作者： Parvin Fathi-Hafshejani jafar Orangi Majid Beidaghi Masoud Mahjouri-Samani Department of Electrical and Computer Engineering Auburn UniversityAuburnAL 36849United States of America Department of Mechanical and Material Engineering Auburn UniversityAuburnAL 36849United States of America

Recently, there has been substantial interest in the large-scale synthesis of hierarchically architectured transition metal dichalcogenides and designing electrodes for energy conversion and storage applications such as electrocatalysis, rechargeable batteries, and supercapacitors. Here we report a novel hybrid laser-assisted micro/nanopatterning and sulfurization method for rapid manufacturing of hierarchically architectured molybdenum disulfide (MoS2) layers directly on molybdenum sheets. This laser surface structuring not only provides the ability to design specific micro/nanostructured patterns but also significantly enhances the crystal growth kinetics. Micro and nanoscale characterization methods are employed to study the morphological, structural, and atomistic characteristics of the formed crystals at various laser processing and crystal growth conditions. To compare the performance characteristics of the laser-structured and unstructured samples, Li-ion battery cells are fabricated and their energy storage capacity is measured. The hierarchically architectured MoS2 crystals show higher performance with specific capacities of about 10 mAh cm-2, at a current rate of 0.1 mA cm-2. This rapid laser patterning and growth of 2D materials directly on conductive sheets may enable the future large-scale and roll-to-roll manufacturing of energy and sensing devices.

关键词： 2D materials laser manufacturing laser patterning energy applications Li-ion battery

Nanocrystalline Growth Activation Energy of Zirconia Polymorphs Synthesized by Mechanochemical Technique

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Journal of Materials Science & Technology 2014年第4期30卷 387-393页

作者： Taghi Dallali Isfahani jafar Javadpour Alireza Khav Massoud Goodarzi Hamid Reza Rezaie Department of Materials Science and Engineering Golpayegan University of Technology School of Metallurgy and Materials Engineering Iran University of Science and Technology(IUST)

The synthesis of ZrO2 by mechanochemical reaction using ZrCI4 and CaO as raw materials and subsequent annealing of the products were investigated. The effect of thermal treatment on the structural evolution and morphological characteristics of the nanopowders was studied by X-ray diffractometry, Raman spectroscopy, transmission electron microscopy, scanning electron microscopy, differential thermal analysis and Rietveld refinement. The results showed that the average crystallite size of Zr02 was less than 100 nm up to around 1100 ℃. The activation energy for ZrO2 nanocrystallite growth during calcination was calculated to be about 13,715 and 27,333 J/too Mechanism of the nanocrysta for tetragonal （t-ZrO2） and monoclinic （m-Zr02） polymorphs, respectively. ite growth of the ZrO2 polymorphs during annealing is primarily investigated.

关键词： Zirconia nanoparticles Mechanochemical synthesis Characterization methods Activation energy Phase transformation

Assessing the response of dryland barley yield to climate variability in semi-arid regions,Iran

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Journal of Arid Land 2021年第9期13卷 905-917页

作者： Mohammad KHEIRI jafar KAMBOUZIA Reza DEIHIMFARD Saghi M MOGHADDAM Seyran ANVARI Department of Agroecology Environmental Sciences Research InstituteShahid Beheshti UniversityTehran ***Iran Faculty of Environmental Sciences Czech University of Life Sciences PraguePrague 16500Czech Republic

Precipitation and temperature are the most abiotic factors that greatly impact the yield of crop,particularly in ***,as the main cereal is predominantly cultivated in dryland and the livelihood of smallholders depends on the production of this crop,particularly in arid and semi-arid *** study aimed to investigate the response of the grain yield of dryland barley to temperature and precipitation variations at annual,seasonal and monthly scales in seven counties of East and West Azerbaijan provinces in northwestern Iran during *** index(HI)was calculated and its relationship with dryland barley yield was evaluated at annual and monthly *** results showed that the minimum,maximum and mean temperatures increased by 0.19℃/a,0.11℃/a and 0.10℃/a,respectively,while annual precipitation decreased by 0.80 mm/a during *** in study area has become drier by 0.22/a in annual HI during the study *** effects of increasing temperature on the grain yield of dryland barley were more severe than the positive effects of increasing ***,weather variations in April and May were related more to the grain yield of dryland barley than those in other *** grain yield of dryland barley was more drastically affected by the variation of annual minimum temperature comparing with other weather ***,our findings illustrated that the grain yield of dryland barley increased by 0.01 t/hm^(2) for each unit increase in annual HI during ***,any increase in the monthly HI led to crop yield improvement in the study area,particularly in the drier counties,i.e.,Myaneh,Tabriz and Khoy in Iran.

关键词： humidity index crop yield spatiotemporal variation temperature precipitation

Scleractinian coral communities of Hormuz Island in the PersianGulf

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Acta Oceanologica Sinica 2022年第12期41卷 48-57页

作者： Yamin Pouryousef jafar Seyfabadi Hamid Rezai Alireza Mahvari Mohammad Ali jafari Department of Marine Biology Faculty of Marine SciencesTarbiat Modares UniversityNoor 46417Iran Darya Negar Pars Consulting Engineers Tehran 14669Iran Department of Environment Hormozgan Provincial Directorate Bandar Abbas 79168Iran

The abundance and health of scleractinian coral communities of Hormuz Island were *** this purpose,we employed 20 m line intercept transects—12 in the intertidal zone and 15 subtidally to evaluate coral cover and community *** estimated dead coral coverage was 6.21%±0.81%,while live coral coverage was 16.93%±1.81%,considered as very ***,12 genera were recorded,of which Porites with 11.9%±1.4%live cover was the dominant,while Goniopora had the least cover(0.07%±0.08%).Based on Mann-Whitney U-test,live coral coverage,dead coral coverage,algal coverage,cover of other benthic organisms and abiotic components showed significant univariate differences between zones(p<0.05).The Spearman correlation test between the abundance of biotic and abiotic components indicated significant negative correlation of live coral and sand with zoantharian and significant positive correlation of algae and other benthic organisms with *** reef health indices used for the corals indicated that,in general,the environmental conditions were not suitable,which could be attributed to both natural and anthropogenic factors,the most important of which was zoantharian’overgrowth on the scleractinian corals in this region.

关键词： scleractinian corals zoantharian reef health indices Hormuz Island Persian Gulf