An overview of the current state of women’s leadership in higher education in Saudi Arabia and a proposal for future research directions

Despite the predominance of perspectives on women’s leadership, which consistently emphasize the underrepresentation of women in virtually every sphere of political and economic life in countries around the world, very little is known about women’s leadership, especially in higher education, in the Kingdom of Saudi Arabia (KSA). This has resulted in a gap in the literature, since higher education is one area of employment where Saudi women have made progress, and in spite of complex social, religious, cultural and organisational barriers, some have broken through the glass ceiling into higher education leadership. One goal of this paper is to highlight, through a synthesis of existing literature, the current state of women’s higher education leadership in Saudi Arabia. The second goal of this paper is to propose new directions for future research to address the current dearth of empirical work on women’s leadership in higher education in Saudi Arabia. This may be relevant to other regions of the Middle East and elsewhere

Recognition of off-line printed Arabic text using Hidden Markov Models.

yesThis paper describes a technique for automatic recognition of off-line printed Arabic text using Hidden Markov Models. In this work different sizes of overlapping and non-overlapping hierarchical windows are used to generate 16 features from each vertical sliding strip. Eight different Arabic fonts were used for testing (viz. Arial, Tahoma, Akhbar, Thuluth, Naskh, Simplified Arabic, Andalus, and Traditional Arabic). It was experimentally proven that different fonts have their highest recognition rates at different numbers of states (5 or 7) and codebook sizes (128 or 256). Arabic text is cursive, and each character may have up to four different shapes based on its location in a word. This research work considered each shape as a different class, resulting in a total of 126 classes (compared to 28 Arabic letters). The achieved average recognition rates were between 98.08% and 99.89% for the eight experimental fonts. The main contributions of this work are the novel hierarchical sliding window technique using only 16 features for each sliding window, considering each shape of Arabic characters as a separate class, bypassing the need for segmenting Arabic text, and its applicability to other languages

STRATEGIC RESEARCH PROJECTS BRIEF

Introduction n Strategic planning is essential to the continuous improvement of an institution n The vision for the future development of research at KFUPM is based on the integral role that the University must play in its sustainable development, and cultural, social, and economic transformation, of Saudi Arabi

STRATEGIC RESEARCH PROJECTS BRIEF

Introduction n Strategic planning is essential to the continuous improvement of an institution n The vision for the future development of research at KFUPM is based on the integral role that the University must play in its sustainable development, and cultural, social, and economic transformation, of Saudi Arabi

Water trees diagnostic of extruded underground cables: a case study in Saudi Arabia eastern province

In this paper, different electrical diagnostic techniques reported in the literature to predict the condition of extruded underground power cables are reviewed. Two of these techniques, namely the DC leakage current method and the DC conductivity method are applied to 14 underground cable samples rated between 15 kV and 69 kV collected from the Eastern Province of the Kingdom of Saudi Arabia. For this purpose, a setup has been constructed at the High Voltage Laboratory of King Fahd University of Petroleum & Minerals, Dhahran-Saudi Arabia. The results obtained show a correlation between the DC leakage current and the conductivity testing and the presence of water trees in the insulation material of cables. Samples suspected to have water trees are examined using the microscopic testing of the insulating material. The results obtained are in agreement with the electrical testing findings

Water trees diagnostic of extruded underground cables: a case study in Saudi Arabia eastern province

In this paper, different electrical diagnostic techniques reported in the literature to predict the condition of extruded underground power cables are reviewed. Two of these techniques, namely the DC leakage current method and the DC conductivity method are applied to 14 underground cable samples rated between 15 kV and 69 kV collected from the Eastern Province of the Kingdom of Saudi Arabia. For this purpose, a setup has been constructed at the High Voltage Laboratory of King Fahd University of Petroleum & Minerals, Dhahran-Saudi Arabia. The results obtained show a correlation between the DC leakage current and the conductivity testing and the presence of water trees in the insulation material of cables. Samples suspected to have water trees are examined using the microscopic testing of the insulating material. The results obtained are in agreement with the electrical testing findings