doi:10.24996/ijs.2020.61.1.14

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Publication Date

Sun Jan 26 2020

Journal Name

Iraqi Journal Of Science

Volume

61

Issue Number

1

DOI

10.24996/ijs.2020.61.1.14

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sp[Î³,Î³^(* ) ]-open sets and sp[Î³,Î³^(* ) ]-compact spaces

sp[Î³

Î³^(* ) ]-open set

sp[Î³

Î³^(* ) ]-closed

sp[Î³

Î³^(* ) ]-closure

sp[Î³

Î³^(* ) ]-regular space

sp[Î³

Î³^(* ) ]-compact space

Jamil Mahmoud

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In this work, we present the notion of sp[Î³,Î³^(* ) ]-open set, sp[Î³,Î³^(* ) ]-closed, and sp[Î³,Î³^(* ) ]-closure such that several properties are obtained. By using this concept, we define a new type of spaces named sp[Î³,Î³^(* ) ]-compact space.

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Publication Date

Wed Apr 25 2018

Journal Name

Ibn Al-haitham Journal For Pure And Applied Sciences

Different Estimation Methods for System Reliability Multi-Components model: Exponentiated Weibull Distribution

Exponentiated Weibull Distribution (EWD)

Reliability of multi-component Stress â€“ Strength models R(s

k)

Maximum likelihood estimator (MLE)

Moment estimator (MOM)

shrinkage method (Sh)

Least Squares Estimator (LS)

Rank Set Sampling (RSS). and mean squared error (MSE).

Abbas Najim

Fatima Hadi

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In this paper, estimation of system reliability of the multi-components in stress-strength model R_(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter Î¸ and, the second shape parameter Î± is unknown using different estimation methods. Comparisons among the proposed estimators through Monte Carlo simulation technique were made depend on mean squared error (MSE) criteria

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Publication Date

Wed Mar 01 2023

Journal Name

Baghdad Science Journal

A Study on Co – odd (even) Sum Degree Edge Domination Number in Graphs

Co-odd (even) sum degree edge dominating set

Co-odd (even) sum degree edge domination number

Co-odd (even) sum degree edge domination value

Odd (even) sum degree edge domination number

Odd (even) sum degree edge domination value

D

P

D

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An edge dominating set of a graph is said to be an odd (even) sum degree edge dominating set (osded (esded) - set) of G if the sum of the degree of all edges in X is an odd (even) number. The odd (even) sum degree edge domination number is the minimum cardinality taken over all odd (even) sum degree edge dominating sets of G and is defined as zero if no such odd (even) sum degree edge dominating set exists in G. In this paper, the odd (even) sum degree domination concept is extended on the co-dominating set E-T of a graph G, where T is an edge dominating set of G. The corresponding parameters co-odd (even) sum degree edge dominating set, co-odd (even) sum degree edge domination number and co-odd (even) sum degree edge domin

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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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