Increase Microgrid's Consumer Comfort by Using Fuzzy and Optimization Algorithms

Whereas the most important fundamental factor for today’s human is energy and wasting energy leads to increasing costs and destruction of natural resources, it is attempted through using modern and electronic methods to optimize the energy consumption and preventing of wasting energy. According to technological advancements and level of knowledge of people and having different electronic means, it is applied from several methods including: wireless sensor networks at home automation, energy management system, BEMS system and intelligent electrical keys on building to respond the requirements of users that leads to comfort of users, reducing costs, optimization of energy consumption and prevention of wasting energy. In this article, it is benefit from intelligent control methods by using optimization algorithms (PSO & GA) and fuzzy logic for controlling energy of building in order to obtain the maximum welfare and comfort of inhabitants in a building using from new pneumatic and solar recyclable resources. In order to show this performance, it is benefit from simulation at MATLAB environment

A Novel Decentralized Fuzzy Based Approach for Grid Job

In this paper with the aid of fuzzy theory we present a new method for scheduling on Grid system. Grid computing is a technology to meet the growing computational requires. In fact grid computing is one of the most popular types of distributed system. Its aim is to produce an enormous, autonomous and effective virtual machine, and it is produced by collecting different nodes with the aim of sharing their data and computational power. This paper follows the identification of grid scheduling with the help of fuzzy theory and seeking to present a new method for grid scheduling with respect to exiting obstacles. In our method we use the intermediate load of nodes of each clusters, the average of computing power which determines the node premiership and job premiership as the input parameters of fuzzy system, and regarding to the output value of fuzzy system the suitable nodes determines. We evaluate the performance of our method with some grid scheduling methods. The results of the experiments show the efficiency of the proposed method in term of makespan and Standard deviation of the load of cluster

Complex factors related to marital and sexual satisfaction among couples undergoing infertility treatment: A cross-sectional study

Objectives: This study assesses complex factors related to marital and sexual satisfaction among couples undergoing infertility treatment. Methods: This cross-sectional study was conducted with 140 couples who visited fertility centers in Iran, between September 2015 and July 2016. Data collection was done by Marital and Sexual Satisfaction Questionnaires and were analyzed by the IBM SPSS 26 software. Results: There was a significant difference between wives and husbands in the MSQ total scores (p = 0.027). However, there was no significant difference between wives and husbands in the SSQ total scores (p = 0.398). Sexual satisfaction and decision-maker in life among wives and husbands were significant predictors of MSQ. The kind of treatment, cause of infertility and BMI among wives and kinds of treatment, cause of infertility, and decision-maker among husbands were also significant predictors of SSQ. Conclusion: The findings of this study showed that there is a difference between the understanding of marital and sexual satisfaction in wives and their husbands. Healthcare providers need to pay more attention to these differences