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Interval-Valued Neutrosophic Soft Expert Set from Real Space to Complex Space

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Computer Modeling in Engineering & Sciences 2022年第7期132卷 267-293页

作者： Faisal al-Sharqi Abd Ghafur Ahmad Ashraf al-Quran Department of Mathematical Sciences Faculty of Science and TechnologyUniversiti Kebangsaan MalaysiaBangiSelangor43600Malaysia Department of Mathematics Faculty of Education for Pure SciencesUniversity of AnbarRamadi55431Iraq Preparatory Year Deanship King Faisal UniversityHofufAl-Ahsa31982Saudi Arabia

A fuzzy system is a novel computing technique that accesses uncertain information by fuzzy *** the decision-making process,fuzzy system and soft computing are effective tools that are tolerant to imprecision,uncertainty,and partial *** fuzzy systems have been developed with the appearance of interval fuzzy,dual fuzzy,hesitant fuzzy,neutrosophic,plithogenic representations,***,by capturing compound features and convey multi-dimensional data,complex numbers are utilized to generalize fuzzy and neutrosophic fuzzy *** this paper,a representation of neutrosophic soft expert systems based on the real and complex numbers in the interval form is *** interval-valued neutrosophic soft expert set(I-VNSES)is defined,and the interval-valued complex neutrosophic soft expert set(I-VCNSES)is formally generalized from the concept of *** both I-VNSES and I-VCNSES,we introduce the relevant basic theoretical operations and study their *** on these new concepts,a generalized algorithm is proposed and applied to handle the imbedded indeterminacy in the two-dimensional interval *** proposed algorithm is tested on the economic factors that affected the Malaysian economy in 2020 to see which ones are the most ***,a comparison of three current approaches is used to back up this study.

关键词： Interval-valued neutrosophic set complex neutrosophic set interval-valued complex neutrosophic set soft expert set decision making

NUMERICal SIMULATION OF FLOWS FOR SECOND-ORDER VISCOELASTIC FLUID COUPLED WITH HEAT TRANSFER BY DIFFERENTIal QUADRATURE METHOD

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Journal of Hydrodynamics 2005年第2期17卷 209-215页

作者： al-SAIF A.S.J. Shanghai Institute of Applied Mathematics and Mechanics Shanghai University Shanghai 200072 China

The problem of two-dimensional steady flow of an incompressible second-order viscoelastic fluid coupled with heat transfer between parallel plates was considered. A viscous dissipation function was included in the energy equation. When the elastic property of the fluid is weaker, the zeroth-order and first-order approximate governing equations were obtained by means of the perturbation method. To understand the behavior of flow near the tube wall, the half-domain was divided into two sub-domains, in which one is a thin layer near the wall called the inner domain and the remainder is called the outer domain. The governing equations in the inner domain and in the outer domain were discretized respectively by using the Differential Quadrature Method (DQM). The matching conditions at the interface between the inner and outer domains were presented. An iterative method for solving these discretized equations was given in this paper. The numerical results obtained agree with existing results.

关键词： momentum equations heat equation second-order viscoelastic fluid Differential Quadrature Method (DQM)

Ferrofluid magnetoviscous control of wall flow channeling in porous media

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China Particuology 2007年第1期5卷 50-60页

作者： Faal Larachi Damien Desvigne Department of Chemical Engineering Laval University Que. G1K 7P4 Canada

We analyzed the phenomenon of ferrofiuid magnetoviscosity in high-permeability wall-region non-magnetic porous media of the Müller kind. After upscaling the pore-level ferrohydrodynamic model, we obtained a simplified volume-average zero-order axisymmetric model for non-Darcy non-turbulent flow of steady-state isothermal incompressible Newtonian ferrofluids through a porous medium experiencing external constant bulk-flow oriented gradient magnetic field, ferrofluid self-consistent demagnetizing field and induced magnetic field in the solid. The model was explored in contexts plagued by wall flow maldistribution due to low column-to-particle diameter ratios. It was shown that for proper magnetic field arrangement, wall channeling can be reduced by inflating wall flow resistance through magnetovisco-thickening and Kelvin body force density which reroute a fraction of wall flow towards bed core. 　　

关键词： Ferrofluid Magnetosviscosity Porous medium Volume-average ferrohydrodynamic model Kelvin body force Spin-vorticity coupling

Ciprofloxacin adsorption from aqueous solution onto chemically prepared carbon from date palm leaflets

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Journal of Environmental Sciences 2012年第9期24卷 1579-1586页

作者： El-Said Ibrahim El-Shafey Haider al-Lawati Asmaa Soliman al-Sumri Department of Chemistry College of ScienceSultan Qaboos UniversityP.O.Box 36-Al-Khodh 123MuscatOman

A chemically prepared carbon was synthesized from date palm leaflets via sulphuric acid carbonization at 160℃. Adsorption of ciprofloxacin （CIP） from aqueous solution was investigated in terms of time, pH, concentration, temperature and adsorbent status （wet and dry）. The equilibrium time was found to be 48 hr. The adsorption rate was enhanced by raising the temperature for both adsorbents, with adsorption data fitting a pseudo second-order model well. The activation energy, Ea, was found to be 17 kJ/mol, indicating a diffusion-controlled, physical adsorption process. The maximum adsorption was found at initial pH 6. The wet adsorbent showed faster removal with higher uptake than the dry adsorbent, with increased performance as temperature increased （25--45℃）. The equilibrium data were found to fit the Langmuir model better than the Freundlich model. The thermodynamic parameters showed that the adsorption process is spontaneous and endothermic. The adsorption mechanism is mainly related to cation exchange and hydrogen bonding.

关键词： ciprofloxacin carbon adsorption palm leaflets

IMPORTANCE OF MOIST AMBIENT AND ITS HELICal ENHANCEMENT EFFECT TO STORM INTENSITY

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Journal of Hydrodynamics 2004年第6期16卷 743-755页

作者： al-FalAHI Fadha Sh. Key Laboratory of Mesoscale Severe Weather Ministry of Education Department of Atmospheric Sciences Nanjing University Nanjing 210093 China

A crucial issue in evolution of severe storm, such as typhoon and even singlesupercell, is to diagnose and predict the sudden intensifying in storm. This paper describes anattempt to investigate the influence and effect of ambient moisture in the development of storm. Itwas mainly through a dynamic way to detect the helical enhancement by ambient moisture. It was foundthat the correlation between the ambient moistness and the intensity of rotating convective cellscan be well analyzed by helicity dynamics. The correlation between environmental streamwisevorticity (i. e. helicity) and vertical velocity (storm updraft or downdraft) is a powerfulindicator to catch favorable or unfavorable conditions for storm evolution. For this purpose, athree-dimensional non-hydrostatic storm-scale model, Advanced Regional Prediction System CARPS) wasemployed in order to numerically simulate a well-documented case of Del City supercell storm indifferent kinds of environmental moistness. Moreover, such different kinds of ambient moistenvironment and the resultant different morphologies and evolutions in the storm clearlydemonstrated that the abundant moistness in the environment that the storm embedded significantlystrengthens tbe storm intensity. In fact, the storm is embedded in much moist environment andtherefore larger instability propagates faster than the one in the drier air. It further producesstronger low-level mesocyclone with a much longer lifetime. The stronger convection and twist in theupdraft indicates that helical enhancement effect by moisture lead to stronger tornadic activity insevere storm.

关键词： moist ambient intensity of storm helical enhancement

Efficient Relational Techniques for Processing Graph Queries

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Journal of Computer Science & Technology 2010年第6期25卷 1237-1255页

作者： Sherif Sakr Ghazi al-Naymat School of Computer Science and Engineering University of New South Wales Managing Complexity Group National ICT Australia (NICTA)

Graphs are widely used for modeling complicated data such as social networks,chemical compounds,protein interactions and semantic *** effiectively understand and utilize any collection of graphs,a graph database that efficiently supports elementary querying mechanisms is crucially *** example,Subgraph and Supergraph queries are important types of graph queries which have many applications in practice.A primary challenge in computing the answers of graph queries is that pair-wise comparisons of graphs are usually hard *** database management systems（RDBMSs） have repeatedly been shown to be able to efficiently host different types of data such as complex objects and XML *** derive much of their performance from sophisticated optimizer components which make use of physical properties that are specific to the relational model such as sortedness,proper join ordering and powerful indexing *** this article,we study the problem of indexing and querying graph databases using the relational *** present a purely relational framework for processing graph *** framework relies on building a layer of graph features knowledge which capture metadata and summary features of the underlying graph *** describe different querying mechanisms which make use of the layer of graph features knowledge to achieve scalable performance for processing graph ***,we conduct an extensive set of experiments on real and synthetic datasets to demonstrate the efficiency and the scalability of our techniques.

关键词： graph database graph query subgraph query supergraph query

Degradation pathways of amino acids during thermal utilization of biomass: a review

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Frontiers of Chemical Science and Engineering 2024年第7期18卷 67-95页

作者： Mubarak al-Kwradi Mohammednoor altarawneh Department of Chemical and Petroleum Engineering United Arab Emirates UniversityAl-Ain 15551United Arab Emirates

Amino acids are important nitrogen carriers in biomass and entail a broad spectrum of industrial uses,most notably as food additives,pharmaceutical ingredients,and raw materials for bio-based *** detailed information in regard to the fragmentation of amino acids is essential to comprehend the nitrogen transformation chemistry at conditions encountered during hydrothermal and pyrolytic degradation of *** underlying aim of this review is to survey literature studies pertinent to the complex structures of amino acids,their formation yields from various categories of biomass,and their fragmentation routes at elevated temperatures and in the aqueous *** predominant degradation reactions ensue in the decomposition of amino acids,namely deamination and ***,minor differences in structure can greatly affect the fate for each amino ***,amino acids,being nitrogen-rich compounds,play pivotal roles across various *** is a growing interest in producing varied types and configurations of amino *** fermentation appears to a viable approach to produce amino acids at an industrial *** innovative method under investigation is catalytic synthesis using renewable biomass as *** a method taps into the inherent nitrogen in biomass sources like chitin and proteins,eliminating the need for external nitrogen *** environmentally friendly approach is in line with green chemistry principles and has been gathering momentum in the scientific community.

关键词： amino acids pyrolysis biomass nitrogen mechanisms bioenergy

A Low-Cost,Real-Time Rooftop IoT-Based Photovoltaic(PV)System for Energy Management and Home Automation

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Energy Engineering 2022年第1期119卷 83-101页

作者： Muhammad Uzair Salah al-Kafrawi Karam al-Janadi Ibrahim al-Bulushi Electrical Engineering Department Islamic University of MedinaMedina42315Saudi Arabia

This work discusses the importance of monitoring and energy management of green energy resources in order to minimize the negative impacts of electricity generation by regular power *** paper introduces a highly efficient,low-cost rooftop photovoltaics(PV)solar panel system which can provide monitoring,controlling and *** proposed system is based on Internet of Things(IoT)and can be used to control different utilities in any premises automatically or set by the user-defined priority list,as compared to the existing IoT-based PV systems which can only perform monitoring and maintenance of the PV panels or only certain parameters,i.e.,temperature,dust,*** is a new step in improving the efficiency of IoT-based PV system where the facility loads are automated by the IoT *** proposed system can also provide a constant feedback about different parameters,i.e.,voltage,dust,sun irradiance and humidity,etc.,via low-cost open-source platforms for telemonitoring and controlling *** simulation results showthat the proposed system provides a high efficiency to energize the utilities and utilize the available energy as compared to the manual control.

关键词： Photovoltaic internet of things automation monitoring performance analysis

Hybrid immunizing solution for job recommender system

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Frontiers of Computer Science 2017年第3期11卷 511-527页

作者： Shaha al-OTAIBI Mourad YKHLEF Department of Information Systems College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Riyadh 11671 Saudi Arabia Department of Information Systems College of Computer and Information Sciences King Saud University Riyadh 11543 Saudi Arabia

Two traditional recommendation techniques, content-based and collaborative filtering （CF）, have been widely used in a broad range of domain areas. Both meth- ods have their advantages and disadvantages, and some of the defects can be resolved by integrating both techniques in a hybrid model to improve the quality of the recommendation. In this article, we will present a problem-oriented approach to design a hybrid immunizing solution for job recommen- dation problem from applicant＇s perspective. The proposed approach aims to recommend the best chances of opening jobs to the applicant who searches for job. It combines the artificial immune system （AIS）, which has a powerful explo- ration capability in polynomial time, with the collaborative filtering, which can exploit the neighbors＇ interests. We will discuss the design issues, as well as the hybridization process that should be applied to the problem. Finally, experimental studies are conducted and the results show the importance of our approach for solving the job recommendation problem.

关键词： content-based collaborative filtering (CF) hy- bridization computational intelligence (CI) artificial im- mune system (AIS) clonal selection correlation-based simi- larity