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A cloud computing framework on demand side management game in smart energy hubs

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The presence of energy hubs in the future vision of energy networks creates an opportunity for electrical engineers to move toward more efficient energy systems. At the same time, it is envisioned that smart grid can cover the natural gas...

A Cluster Based Multi-Radio Multi-Channel Assignment Approach in Wireless Mesh Networks

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Wireless mesh networks (WMNs) are receiving increasing attention as an effective means to provide  broadband internet. Throughput is a major QoS in WMNs keeping in view of their perceived application areas and others being connectivity and reliability. WMNs use multiple...

A collaborative methodology for tacit knowledge management: Application to scientific research

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Tacit knowledge, which refers to the know-how, is critical to understand and reuse since it is located in the human heads. It represents the foremost element for human and team evaluation. Seeking for tacit  knowledge is achieved only by communicating...

A Combined Gate Replacement and Input Vector Control Approach for Leakage Current Reduction

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Input vector control (IVC) is a popular technique for leakage power reduction. It utilizes the transistor stack effect in CMOS gates by applying a minimum leakage vector (MLV) to the primary inputs of combinational  circuits during the standby mode. However,...

A combined methodology for supplier selection and performance evaluation

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Today, organizations that wish to carry on the sustainable growing need a robust strategic performance measurement and evaluation system because of changing demands of consumers, reduced product life cycle, competitive and globalised markets. In this study, a new methodology is...

A Comparison of Approaches to Large-Scale Data Analysis

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A Comparison of Approaches to Large-Scale Data Analysis

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There is currently considerable enthusiasm around the MapReduce(MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in  parallel SQL database management systems (DBMS) for over 20 years, some have called MR a...

A comparison of neural network models, fuzzy logic, and multiple linear regression for prediction of hatchability

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Application of appropriate models to approximate the performance function warrants more precise prediction and helps to make the best decisions in the poultry industry. This study reevaluated the factors affecting hatchability in laying hens from 29 to 56 wk of...

A comparison of neural network models, fuzzy logic, and multiple linear regression for prediction of hatchability

0 از 5
0امتیاز
تومان
Application of appropriate models to approximate the performance function warrants more precise prediction and helps to make the best  decisions in the poultry industry. This study reevaluated the factors affecting hatchability in laying hens from 29 to 56 wk of...

A comparison of performance of Islamic and conventional banks 2004–2009

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We compare the efficiency of Islamic and conventional banks during the period 2004–2009 using data  envelopment analysis (DEA) and meta-frontier analysis (MFA). The use of the non-parametric MFA allows for the decomposition of gross efficiency (i.e. the efficiency of banks...
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