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RISS 인기검색어
- 검색키워드
- 저자 : Shariq HUSSAIN (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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Discharge coefficient estimation for rectangular side weir using GEP and GMDH methods
Hussain, Ajmal,Shariq, Ali,Danish, Mohd,Ansari, Mujib A. Techno-Press 2021 Advances in computational design Vol.6 No.2
Flow through the rectangular side weir is a spatially varied type flow with decreasing discharge and used as a flow diversion structure. They are mainly used in the field of hydraulic, irrigation, and environmental engineering for diverting and controlling the flow of water in irrigation-drainage systems, drainage canal systems, and wastewater channels. In this study, gene expression programming and group method of data handling were used to estimate the coefficient of discharge for rectangular side weir under subcritical flow condition. Based on dimensional analysis, the coefficient of the discharge depends on the ratio of the crest height to length, ratio of the width of channel to crest length, ratio of the upstream depth in the channel to crest length and the approach Froude number. The performance of the proposed GMDH and GEP model is based on the coefficient of correlation (0.91), mean absolute percentage error (3.54), average absolute deviation (3.3), root mean square error (0.027) and the coefficient of correlation (0.905), mean absolute percentage error (4.12) average absolute deviation (3.9), root mean square error (0.029), respectively. Finally, the results reveal that GMDH model could provide more satisfactorily estimations as compared to those obtained by traditional regression and GEP models.
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Bloom to Gloom-Emotional Intelligence and Employee Silence: An Empirical Study from Pakistan
Sadia SAEED,Naveed AKHTAR,Shariq HUSSAIN 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.12
The objective of the current research study is to examine those elements/factors that can reduce silence so that organizations can become more efficient, innovative, and adaptable by sharing knowledge and work-related problems. The purpose behind conducting this research was to explore the effects of emotional intelligence on silent behavior. The study also focuses on other individual negative aspects that can increase counterproductive behavior like silence and examines the effects of emotional intelligence on silence through moral disengagement. Data was collected from 400 employees using stratified sampling to ensure adequate representation of males and females. Data was collected from nurses and young doctors using the adopted measurement scale through a self-administered questionnaire. Since the sample included nursing staff and they usually are not well versed in English, the instrument was translated into Urdu. Data were analyzed using SEM to assess the direct and indirect effects of EI on employee silence. The result indicates that emotional intelligence has a positive impact on employee silence and moral disengagement. In contradiction to theory, the findings suggest that people with high emotional intelligence tend to get morally disengaged. As a result, they will remain silent and withhold information regarding work-related issues and problems.
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