doi:10.24996/ijs.2023.64.1.35

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Publication Date

Mon Jan 30 2023

Journal Name

Iraqi Journal Of Science

Volume

64

Issue Number

1

DOI

10.24996/ijs.2023.64.1.35

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On Soft Somewhere Dense Open Functions and Soft Baire Spaces

soft open

soft semiopen

soft somewhat open

soft somewhere dense open

Baire space

fuzzy Baire space

soft Baire space

Baravan A.

Tareq M.

Zanyar A.

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The paper starts with the main properties of the class of soft somewhere dense open functions and follows their connections with other types of soft open functions. Then preimages of soft sets with Baire property and images of soft Baire spaces under certain classes of soft functions are discussed. Some examples are presented that support the obtained results. Further properties of somewhere dense open functions related to different types of soft functions are found under some soft topological properties.

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Publication Date

Tue Mar 31 2015

Journal Name

Al-khwarizmi Engineering Journal

Intelligent H2/H∞ Robust Control of an Active Magnetic Bearings System

Keywords: Active Magnetic Bearings (AMB)

Adaptive Neuro Fuzzy Inference System (ANFIS)

H2/H∞ robust controller

modelling errors

uncertainty bounds.

Safanah M.

Rini

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Abstract

Robust controller design requires a proper definition of uncertainty bounds. These uncertainty bounds are commonly selected randomly and conservatively for certain stability, without regard for controller performance. This issue becomes critically important for multivariable systems with high nonlinearities, as in Active Magnetic Bearings (AMB) System. Flexibility and advanced learning abilities of intelligent techniques make them appealing for uncertainty estimation. The aim of this paper is to describe the development of robust H₂/H_∞ controller for AMB based on intelligent estimation of uncertainty bounds using Adaptive Neuro Fuzzy Inference System (ANFIS). Simulatio

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Publication Date

Mon Dec 25 2017

Journal Name

Al-khwarizmi Engineering Journal

Utilizing a Magnetic Abrasive Finishing Technique (MAF) Via Adaptive Nero Fuzzy(ANFIS)

Keywords:Magnetic abrasive finishing (MAF)

adaptive Neuro fuzzy inference system (ANFIS)

(AR) average roughness

(RMSE) root mean square error

membership function (MF).

Amer A.

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Abstract

An experimental study was conducted for measuring the quality of surface finishing roughness using magnetic abrasive finishing technique (MAF) on brass plate which is very difficult to be polish by a conventional machining process where the cost is high and much more susceptible to surface damage as compared to other materials. Four operation parameters were studied, the gap between the work piece and the electromagnetic inductor, the current that generate the flux, the rotational Spindale speed and amount of abrasive powder size considering constant linear feed movement between machine head and workpiece. Adaptive Neuro fuzzy inference system (ANFIS) was implemented for evaluation of a serie

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Publication Date

Mon Jun 19 2023

Journal Name

Journal Of Engineering

Linguistic Fuzzy Trust Model over Oscillating Wireless Sensor Networks

Oscillating WSN

linguistic fuzzy trust model

bio-inspired trust and reputation model for wireless sensor networks

trustworthy servers

and malicious servers.

Firas Ali

Sura Fawzi

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Simulation of the Linguistic Fuzzy Trust Model (LFTM) over oscillating Wireless Sensor Networks (WSNs) where the goodness of the servers belonging to them could change along the time is presented in this paper, and the comparison between the outcomes achieved with LFTM model over oscillating WSNs with the outcomes obtained by applying the model over static WSNs where the servers maintaining always the same goodness, in terms of the selection percentage of trustworthy servers (the accuracy of the model) and the average path length are also presented here. Also in this paper the comparison between the LFTM and the Bio-inspired Trust and Reputation Model for Wireless Sensor Network

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Publication Date

Sat Oct 01 2016

Journal Name

Journal Of Theoretical And Applied Information Technology

Factors affecting global virtual teams’ performance in software projects

Today the trend is to perform software development work via distributed geographical area among team

individual or even as an organization. However

due to the global market and international presence of many companies

there is a need to implement a global virtual teams. The global virtual team members are gradually engaged in globalized business environments across space

time and organizational boundaries via information and communication technologies. A global virtual team relies on communication

collaboration

and information exchange are the most important criteria in global virtual teams’ operations. The purpose of this paper is to answer two research questions. The first research question is to identify the factors affecting global virtual teams’ performance. A systematic literature review was conducted to answer the first research question. The second research question is on what the rank of the factor affecting the global virtual teams’ performance according to their level of effect on global virtual teams’ performance. Online survey was conducted within 103 developers and IT managers from eight IT companies to answer the second research question. The Statistical Package for Social Science (SPSS 22) was used to analyze the collected data. In this study

we investigated factors that affect global virtual teams’ performance

factors considered include cultural differences

language problems

time-zone differences

team size

technical problems

lack of trust

lack of sufficient training

and ICT problems. Also the findings indicated that lack of sufficient training is the highest level of effect on global virtual teams’ performance. On the other hand

Ali Yahya Gheni

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