338 research outputs found
sj-xlsx-3-eae-10.1177_0958305X221133256 - Supplemental material for Design islanded hybrid micro-grid and analyzing its socio-economic technical and environmental aspects for off-grid electrification in developing countries
No full textSupplemental material, sj-xlsx-3-eae-10.1177_0958305X221133256 for Design islanded hybrid micro-grid and analyzing its socio-economic technical and environmental aspects for off-grid electrification in developing countries by Saleem Ullah, Muhammad Yousif, Muhammad Zeeshan Abid, Muhammad Numan and Mubashar Aslam Kataria in Energy & Environment</p
sj-xlsx-2-eae-10.1177_0958305X221133256 - Supplemental material for Design islanded hybrid micro-grid and analyzing its socio-economic technical and environmental aspects for off-grid electrification in developing countries
No full textSupplemental material, sj-xlsx-2-eae-10.1177_0958305X221133256 for Design islanded hybrid micro-grid and analyzing its socio-economic technical and environmental aspects for off-grid electrification in developing countries by Saleem Ullah, Muhammad Yousif, Muhammad Zeeshan Abid, Muhammad Numan and Mubashar Aslam Kataria in Energy & Environment</p
sj-docx-4-eae-10.1177_0958305X221133256 - Supplemental material for Design islanded hybrid micro-grid and analyzing its socio-economic technical and environmental aspects for off-grid electrification in developing countries
No full textSupplemental material, sj-docx-4-eae-10.1177_0958305X221133256 for Design islanded hybrid micro-grid and analyzing its socio-economic technical and environmental aspects for off-grid electrification in developing countries by Saleem Ullah, Muhammad Yousif, Muhammad Zeeshan Abid, Muhammad Numan and Mubashar Aslam Kataria in Energy & Environment</p
sj-docx-1-eae-10.1177_0958305X221133256 - Supplemental material for Design islanded hybrid micro-grid and analyzing its socio-economic technical and environmental aspects for off-grid electrification in developing countries
No full textSupplemental material, sj-docx-1-eae-10.1177_0958305X221133256 for Design islanded hybrid micro-grid and analyzing its socio-economic technical and environmental aspects for off-grid electrification in developing countries by Saleem Ullah, Muhammad Yousif, Muhammad Zeeshan Abid, Muhammad Numan and Mubashar Aslam Kataria in Energy & Environment</p
Impact of demand response and network payment schemes on generation and transmission expansion planning with high renewable energy penetration
No full textNetwork Expansion Planning (NEP) plays a pivotal role in the development of power systems. It involves
investing in new generating units and transmission lines to meet growing load demands and ensure a reliable
electricity supply. Historically, the incorporation of demand response (DR) factors in power system planning has
been limited due to their complexity and evaluation challenges. However, with advancements in smart grid
technologies, increased integration of renewable energy, and the emergence of flexible loads, the inclusion of DR
models has become crucial for enhancing power system reliability. While numerous studies have delved into
generation and transmission expansion planning (GTEP) problems, only a few have explored the integration of
network payment schemes and DR within the GTEP framework. This study proposes a multi-annual generation
and transmission expansion planning model that incorporates three network payment schemes and two DR
techniques. The objective is to secure financing for new generating units and transmission lines while minimizing
the overall system cost. The proposed models employ the mixed-integer linear programming (MILP) optimization
method and are validated using a modified IEEE 24-bus system. Two key system performance metrics, namely
the network congestion index and network saturation index, are employed to assess system reliability and
effectiveness. These results demonstrate that the integration of network payment schemes and DR techniques
into the generation and transmission expansion planning model can lead to a cost reduction of 32.1% as
compared to base model, reduced power system congestion and saturation (22.1%, 2.73%) to allow more
renewable energy integration and enhanced power system reliability and operational flexibility
The effects of content familiarity and language ability on reading comprehension performance of low-and high-ability Saudi tertiary students studying English as a foreign language
No full textThis study investigates the effects of content familiarity and language ability (defined as general L2 proficiency) on the comprehension performance of low- and high-ability Saudi students of English as a foreign language. One hundred and thirty-two male and female university students participated in this study, performing two reading comprehension tests on two different types of text (familiar and unfamiliar). The results showed that content familiarity and language ability had significant effects on the students' comprehension performance. They indicated that content familiarity facilitated reading comprehension, and that language ability had a significant effect on the comprehension performance of students at different levels. Language ability level may have played a compensatory role in facilitating the comprehension of the unfamiliar text. Educators designing and implementing reading courses need to consider these related factors.Corresponding Author:
Dr. Yousif A. N. AL-Shumaimeri, Assistant Professor, Department of Curricula and Instructions, College of Education, King Saud University, P.O.Box: 2458, Riyadh: 11451, Saudi Arabia. Email: [email protected]
A support vector machine based approach for improving accuracy and performance of test oracles / Muhammad Elrashid Yousif Mohamed
No full textOne of the key structures in software development is software testing, where there is an increasing need to deal with the issue to provide automated test oracles. Test oracles are simplified and reliable sources that guide testers to undertake a testing process and evaluate faults detected in software. Throughout the years, there has been countless of research conducted on different formats of test oracles, all withholding a similar objective to conclude on whether the test oracle chosen an improvement to software is testing. The objective is to the obtain the challenges currently with existing test oracles and with that identify an approach to address those challenges, using methods such as black-box testing and applying pattern recognizers such just support vector machines as an automated test oracle. In this research, Support Vector Machine, a pattern recognizer based on automated test oracle is introduced to handle mapping and comparison automatically. Previous test oracles, such as Info Fuzzy Networks (IFN) introduced on regression testing contain numerous drawbacks including its limitations to only a single form of testing and its inability to acquire data from other test oracles. Artificial Neural Networks (ANN) based on a single network is a test oracle introduced, in favor of IFN, as it generated accurate data of 91.83% when undertaking testing process. Nevertheless, single network oracle based on ANN has a central drawback and that is its inability to test complex software, making it unreliable. The pattern recognizer SVM is functioned to improve classification performances which will be applied for detecting faults in a testing process. It also contains the capability of solving functional estimated problems and pattern recognition as well as able to undertake complex software. The implication of this research is to provide to software tester different testing methods to apply to projects that may improve accuracy rate as well as reduce cost
Oral History Interview with Dr. Naajiah Muhammad on August 11, 2020
No full textOral history interview with Dr. Naajiah Muhammad conducted by Zainab Yousif-Ahmad on August 11, 2020. Interview written by Dr. Alisa Perkins (Research Director) and Zainab Yousif-Ahmad. Dr. Naajiah Muhammad was born on August 16, 1958 in Detroit, Michigan. Her father was born in Springfield, Illinois, and her mother was born in Oklahoma. Both her parents migrated to Michigan in the 1940s. At the age of nine, Dr. Muhammad’s grandmother introduced her to herbal medicine and to her family’s Choctaw and Cherokee heritage. She was raised as an Episcopalian Christian and embraced Islam as a young adult after being introduced to the religion by her sister. In the interview, Dr. Muhammad discussed the importance of several different mentors and teachers who guided her study of Islam and the Arabic language throughout her life. She also discusses her enduring connection to the Muslim Center Mosque and Community Center. Dr. Muhammad has been a successful entreprenuer for many years. Her first business was jewelry making which she continues to this day. In her interview, Dr. Muhammad discusses how her own health challenges and dissatisfaction with mainstream healthcare motivated her to go back to school and pursue a career in alternative medicine. Currently, Dr. Muhammad works as a naturopathic doctor and teaches classes in holistic medicine. She encourages her patients from different faiths to combine healing and prayer. Dr. Muhammad presents monthly about the connection between Islam and healing at Muslimah University, a women’s learning circle, and also runs a series called Health Smart Kids, which promotes peer education among young people through creative video production. Throughout the interview, Dr. Muhammad emphasizes the importance of facing challenges and overcoming the limiting ideas of others to excel and thrive.https://scholarworks.wmich.edu/dream-storytelling-interviews/1007/thumbnail.jp
Phenotypic and Genetic Characterization of the Desert Goats in Northern Dar fur state – Sudan
No full textwould like to express my deepest thanks and gratitude to my
supervisor Dr. Ibrahim Abdel Salam Yousif for his keen advice and
supervision during the research time, data analysis and thesis writing.
Thanks are also extended to El Fasher University for granting
the scholarship which enabled me in the execution of this research.
Also I would like to thank the following for partially financing the
research expense, Ministry of Higher Education and Scientific
Research, Practical Action Organization - El Fasher Office, North Dar
fur, Sudan and El Fasher Research Station Staff for providing the pens
and some equipments for housing and rearing the animals. Also I wish
to extend my gratitude to Shambat Liberary Staff. The author is
indebted to Ustaz Ahmed Magzoub Khalid and Dr. Abdelaziz Ahmed
Fadlelmoula who helped in data analysis. Also my thanks extend to
those whom I feel indebted to for their help or assistance by any
means during the execution of this work. E special thanks to El outran
Abdul Esalam Yousif and Muneer Elyas Siddig for typing this
manuscript
Population dynamics of rhopalosiphum padi (L.) on wheat and myzus persicae (sulzer) on spinach under irrigation from two different water sources
No full textSeasonal abundance of Myzus persicae (Sulzer) on spinach leaves and Rhopalosiphumpadi (L.) on wheat stems were estimated in 1988 and 1989. Two types of water were used in irrigation (fresh water and treated municipal waste water). The aphid densitiesofthe first season on both crops were significantly higher than in the second season. M. persicaeand R. padi were first detected in late December and reached a peak early February. Type of water had shown no significant effect on population densities of both aphid species.Correspong Author:
Dr. Yousif N. Aldryhim, Professor of Entomology
College of Food & Agricultural Sciences, King Saud University, P.O. Box 2460, Riyadh 11451
Saudi Arabia. Email: [email protected]
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