4 research outputs found

    DC Microgrid based on Battery, Photovoltaic, and fuel Cells; Design and Control

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    Microgrids offer flexibility in power generation in a way of using multiple renewable energy sources. In the past few years, microgrids become a very active research area in terms of design and control strategies. Most of the microgrids use DC/DC converters to connect renewable energy sources to the load. In this paper, the simulation model of a DC microgrid with three different energy sources (Lithium-ion battery (LIB), photovoltaic (PV) array, and fuel cell) and external variant power load is built with MATLAB/Simulink and the simulative results show that the stability of DC microgrid can be guaranteed by the proposed maximum power point controller MPPT. The three energy sources are connected to the load through DC/DC converters, one for each. This type of topology ensures protection for each energy source as well as optimum stability at the load

    Arabizi - Help or Harm? An Analysis of the Impacts of Arabizi - Threat or Benefit to the Written Arabic Language?

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    In the 21st century, the Arab world has undergone significant change, which has had profound impacts in the lives of Arab people throughout many occupations, fields, and locations. New technological advancements, communication innovations, and globalization efforts have been the core drivers to open the Arab world to Western civilization. The Arab world is characterized by unique cultural traditions, moral principles, and religious beliefs that differ greatly from those of the West. However, the globalization movement has had multiple impacts on Arab culture and the Arabic language. When comparing the Arabic language with the languages of Latin origin, it becomes clear that there exists multiple distinctions, especially in their writings and language. These distinctions did not play such a serious role several centuries ago, but with the increased cooperation between Arab nations and the Western world, these language dissimilarities have become well-recognized. Social media such as internet chatting and cell phone texting have appealed to the younger Arab generation as a platform for them to adapt with the changing times. Arabizi has emerged as a form of shorthand combining traditional Arabic with English numerals. Arabizi is an efficient and effective solution for young Arabs to reduce the gap between Arabic and English and ease communication.However, as with any important social change, the widespread use of Arabizi in the modern Arab world has had both positive and negative effects on Arab language and culture. Identifying these positive and negative impacts is a critical issue. Multiple researchers, such as Wid Allehaiby, Ibrahim Al-Shaer, Lamiyah Bahrainwala, Ruba Mustafa have been interested in researching the effects of Arabizi such as diminished language skills such as poorer spelling and writing skills in the native Arabic language. This paper examines their research and studies to explore the benefits of using Arabizi in the modern Arab world. Also, because the Arabic language is so closely tied with Arab culture and the Muslim religion, a brief look at these threats is included

    Arabizi - Help or Harm? An Analysis of the Impacts of Arabizi - Threat or Benefit to the Written Arabic Language?

    No full text
    In the 21st century, the Arab world has undergone significant change, which has had profound impacts in the lives of Arab people throughout many occupations, fields, and locations. New technological advancements, communication innovations, and globalization efforts have been the core drivers to open the Arab world to Western civilization. The Arab world is characterized by unique cultural traditions, moral principles, and religious beliefs that differ greatly from those of the West. However, the globalization movement has had multiple impacts on Arab culture and the Arabic language. When comparing the Arabic language with the languages of Latin origin, it becomes clear that there exists multiple distinctions, especially in their writings and language. These distinctions did not play such a serious role several centuries ago, but with the increased cooperation between Arab nations and the Western world, these language dissimilarities have become well-recognized. Social media such as internet chatting and cell phone texting have appealed to the younger Arab generation as a platform for them to adapt with the changing times. Arabizi has emerged as a form of shorthand combining traditional Arabic with English numerals. Arabizi is an efficient and effective solution for young Arabs to reduce the gap between Arabic and English and ease communication.However, as with any important social change, the widespread use of Arabizi in the modern Arab world has had both positive and negative effects on Arab language and culture. Identifying these positive and negative impacts is a critical issue. Multiple researchers, such as Wid Allehaiby, Ibrahim Al-Shaer, Lamiyah Bahrainwala, Ruba Mustafa have been interested in researching the effects of Arabizi such as diminished language skills such as poorer spelling and writing skills in the native Arabic language. This paper examines their research and studies to explore the benefits of using Arabizi in the modern Arab world. Also, because the Arabic language is so closely tied with Arab culture and the Muslim religion, a brief look at these threats is included

    Hybrid GRU-LSTM Recurrent Neural Network-Based Model for Real Estate Price Prediction

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    Real estate prices are an important reflection of the economy and their prices are great interest to both buyers and sellers. Hundreds of houses are sold every day and the buyer asks himself what is the reasonable price that this house deserves. In this paper, a new regression model is proposed for the accurate prediction of house prices. This model is based on the hybrid recurrent neural network where the Gated Recurrent Unit (GRU) is fused with the Long Short-Term Memory (LSTM) and applied to a particular dataset that characterizes houses in Boston. Massachusetts dataset from Scikit-learn is used in this research to train and evaluate this regression model using the data on Boston housing. Several experiments were conducted on the proposed algorithm and evaluated with the commonly used metrics. The results of these experiments showed that the proposed model has better performance when the networks are used in the fusion process than when they act individually. It also has better accuracy and lower Root Mean Square Error when compared to several states of art methodologies.</p
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