6,301 research outputs found

    Sustainability ranking of desalination plants using Mamdani Fuzzy Logic Inference Systems

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    As water desalination continues to expand globally, desalination plants are continually under pressure to meet the requirements of sustainable development. However, the majority of desalination sustainability research has focused on new desalination projects, with limited research on sustainability performance of existing desalination plants. This is particularly important while considering countries with limited resources for freshwater such as the United Arab Emirates (UAE) as it is heavily reliant on existing desalination infrastructure. In this regard, the current research deals with the sustainability analysis of desalination processes using a generic sustainability ranking framework based on Mamdani Fuzzy Logic Inference Systems. The fuzzy-based models were validated using data from two typical desalination plants in the UAE. The promising results obtained from the fuzzy ranking framework suggest this more in-depth sustainability analysis should be beneficial due to its flexibility and adaptability in meeting the requirements of desalination sustainability

    Societal Rather than Governmental Change: Religious Discrimination in Muslim-Majority Countries after the Arab Uprisings

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    This study examines shifts in governmental religion policy and societal discrimination against religious minorities in Muslim-Majority states after the Arab Uprisings by using the Religion and State round 3 (RAS3) dataset for the years 2009-2014 and by focusing on 49 Muslim-majority countries and territories. We build on threads of literature on religious pluralism in transitional societies to explain the changes in governmental religion policy and societal discrimination against religious minorities after the Arab Uprisings. This literature predicts a rise in all forms of discrimination in Arab Uprising states as compared to other Muslim-majority states, and an even more significant rise in societal religious discrimination since societal behavior can change more quickly than government policy, especially at times of transition. The results partially conform to these predictions. There was no significant difference in the shifts in governmental religion policy between Arab Uprising and other Muslim-Majority states, but societal religious discrimination increased substantially in Arab Uprising states as compared to non-Arab Uprising states. Understanding the nature of religion policies and religious discrimination provides further opportunities to unveil the dynamics of regional politics as well as conflict prevention in the region

    Democracy’s Fourth Wave? Digital Media and the Arab Spring

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    Did digital media really "cause" the Arab Spring, or is it an important factor of the story behind what might become democracy's fourth wave? An unlikely network of citizens used digital media to start a cascade of social protest that ultimately toppled four of the world's most entrenched dictators. Howard and Hussain find that the complex causal recipe includes several economic, political and cultural factors, but that digital media is consistently one of the most important sufficient and necessary conditions for explaining both the fragility of regimes and the success of social movements. This book looks at not only the unexpected evolution of events during the Arab Spring, but the deeper history of creative digital activism throughout the region.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/117564/1/Democracy's Fourth Wave.pdfDescription of Democracy's Fourth Wave.pdf : PD

    Performance Comparison of Several Control Algorithms for Tracking Control of Pantograph Mechanism

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    A sort of parallel manipulator known as a pantograph robot mechanism was created primarily for industrial requests that required high precision and satisfied speed. While tracking a chosen trajectory profile requires a powerful controller. Because it has four active robot links and one robot passive link in place of just two links like the open chain does, it can carry more loads than the open chain robot mechanism while maintaining accuracy and stability. The calculated model for a closed chain pantograph robot mechanism presented in this paper takes into account the boundary conditions. For the purpose of simulating the dynamics of the pantograph robot mechanism, an entire MATLAB Simulink has been created. The related Simscape model had been created to verify the pantograph mathematical model that had been provided. Five alternative tracking controllers were also created and improved using the Flower Pollination (FP) algorithm. The PID controller, which is used in many engineering applications, is the first control. An enriched Fractional Order PID (FOPID) controller is the second control. The third control considers an improved Nonlinear conventional PID (NLPID) controller, and the parameters for this controller were likewise determined using (FP) optimization using the useful objective function. Model Reference Adaptive Control (MRAC) with PID Compensator is the fourth control. The Fuzzy PD+I Control is the last and final controller. A comparison of the different control methods was completed. A rectangular trajectory was chosen as the end effector of the pantograph robot\u27s position reference because it displays performance during sharp edges and provides a more accurate study. The proposed controllers were used for this task to analyse the performance. The outcomes demonstrate that the Fuzzy PD+I control outperforms the PID, FOPID, NLPID, and MRAC with PID Compensator controllers in terms of performance. In the case of the Fuzzy PD+I control, the angles end effector has a lower rise time, a satisfied settling time, and low overshoot with good precision

    Sentiment Analysis System for Mapping Hate Speech Against Women in Social Media using GIS System

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    This study aims to map hate speech against women in the Middle East using a Geographic Information System GIS and sentiment analysis with the goal of identifying patterns The hate speech terms that were utilized in the research were gathered from more than 3600 women in the study region according to the dat

    A Machine Learning Approach For Opinion Holder Extraction In Arabic Language

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    Opinion mining aims at extracting useful subjective information from reliable amounts of text. Opinion mining holder recognition is a task that has not been considered yet in Arabic Language. This task essentially requires deep understanding of clauses structures. Unfortunately, the lack of a robust, publicly available, Arabic parser further complicates the research. This paper presents a leading research for the opinion holder extraction in Arabic news independent from any lexical parsers. We investigate constructing a comprehensive feature set to compensate the lack of parsing structural outcomes. The proposed feature set is tuned from English previous works coupled with our proposed semantic field and named entities features. Our feature analysis is based on Conditional Random Fields (CRF) and semi-supervised pattern recognition techniques. Different research models are evaluated via cross-validation experiments achieving 54.03 F-measure. We publicly release our own research outcome corpus and lexicon for opinion mining community to encourage further research
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