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Article
Publication date: 1 August 2016

Chin-Fu Kuo, Yung-Feng Lu and Bao-Rong Chang

The purpose of this paper is to investigate the scheduling problem of real-time jobs executing on a DVS processor. The jobs must complete their executions by their deadlines and…

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Abstract

Purpose

The purpose of this paper is to investigate the scheduling problem of real-time jobs executing on a DVS processor. The jobs must complete their executions by their deadlines and the energy consumption also must be minimized.

Design/methodology/approach

The two-phase energy-efficient scheduling algorithm is proposed to solve the scheduling problem for real-time jobs. In the off-line phase, the maximum instantaneous total density and instantaneous total density (ITD) are proposed to derive the speed of the processor for each time instance. The derived speeds are saved for run time. In the on-line phase, the authors set the processor speed according to the derived speeds and set a timer to expire at the corresponding end time instance of the used speed.

Findings

When the DVS processor executes a job at a proper speed, the energy consumption of the system can be minimized.

Research limitations/implications

This paper does not consider jobs with precedence constraints. It can be explored in the further work.

Practical implications

The experimental results of the proposed schemes are presented to show the effectiveness.

Originality/value

The experimental results show that the proposed scheduling algorithm, ITD, can achieve energy saving and make the processor fully utilized.

Details

Engineering Computations, vol. 33 no. 6
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 23 July 2024

Kobra Torfei Monfared, Marjan Vahedi, Roya Eshraghi Samani and Homayoon Moradnezhadi

The purpose of this research is to investigate factors influencing the intention of villagers to use renewable energy. In this regard, by using the modified model of planned…

60

Abstract

Purpose

The purpose of this research is to investigate factors influencing the intention of villagers to use renewable energy. In this regard, by using the modified model of planned behavior, perceived behavioral control factors, perceived usefulness, perceived ease, mental norm and attitude toward energy sources for the intention of villagers to use energy sources. Therefore, the impact of each of these five variables was investigated in the form of research hypotheses.

Design/methodology/approach

This research has been done using a quantitative paradigm and a descriptive-correlation method. The statistical population of the study consisted of households (384) living in rural areas of Ilam province. A multistage cluster method was used to select the sample size. The data collection tool was a researcher-made questionnaire that was developed based on the research background and research problem. Face validity of the research tool by professors of Islamic Azad University of Ilam and construct validity and reliability of research tools were confirmed by Cronbach’s alpha coefficient and composite reliability. Data were analyzed statistically using SPSS26 and SmartPLS3 software.

Findings

The results showed that the intention to use renewable energies (REs) among the rural peoples of Ilam province is affected by factors such as mental norms, attitude, perceived usefulness and perceived behavioral control and there is a positive and significant relationship between them.

Originality/value

In Iran, there is a lot of potential for usage of RE in rural communities, but compared to fossil fuels, had a small share in the current energy supply (Rezaei et al., 2022). RE technologies have not been sufficiently accepted and used by Iranian rural people (Rezaei and Ghafranfarid, 2018). Se the public acceptance of RE technologies is vital for successful process energy transfer (Huijts et al., 2012), non-acceptance of RE by society is a major obstacle to establishing RE technologies in Iran (Savari and Razmavar, 2022). It is expected that this research will fill the gap in the research literature.

Details

International Journal of Energy Sector Management, vol. 19 no. 2
Type: Research Article
ISSN: 1750-6220

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