505 research outputs found
2026: Ruth Awad
No full textRuth Awad is a Lebanese-American disabled poet, a 2021 NEA Poetry fellow, and the author of Outside the Joy (Third Man Books, 2024) and Set to Music a Wildfire (Southern Indiana Review Press, 2017), winner of the 2016 Michael Waters Poetry Prize and the 2018 Ohioana Book Award for Poetry. Her work can be found in The Atlantic, AGNI, Poetry, Poem-a-Day, The Believer, The New Republic, and elsewhere. She has an MGA in poetry from Southern Illinois University Carbondale, and she lives and writes in Columbus, Ohio.https://thekeep.eiu.edu/lionsinwinter_writers/1055/thumbnail.jp
Architectural Education Today : Cross-Cultural Perspectives
No full textFrom the Introduction: Recent literature on architectural education notes that there are continuous attempts to massage architectural curricula, to reconfigure the structure of the educational process, to test accepted ideas, and to probe future visions. However, research findings reveal some fundamental disagreements over the goals and objectives, structure and contents, and tools and techniques required for architectural education today. Since education is the cornerstone of the profession and since the approach to and the content of that education is the backbone of architectural practice, it is essential to encounter the subject in its broadest sense and to deal with it as a rich field of research whose knowledge base, content, and methods can be examined, questioned, and debated. Very few attempts have been developed over the last decade or so by individual scholars to explore the rituals of education in a systematic, visionary, and research-based manner. This indicates the need for more published research and experiments on architectural education and practice. Architectural Education Today is a response to this lack, and is divided into four parts, each of which seeks to provide an exploration of answers to critical questions that pertain to knowledge, professional practice, educational experiments and experiences, and their supporting tools. The intent is not to provide a blue print on how improvement might occur or to offer ready-made or definitive answers, but to further open architectural education to discussion; a subject that continued for years to get sparse attention. Foreword: Suha Ozkan, Aga Khan Trust for Culture, Geneva Introduction: Ashraf Salama and Kaj Noschis The book includes visionary and research articles of: Hallina Dunin Woyseth, Oslo, Norway; Peter Rowe, Cambridge, MA: USA; Samer Akkach, Adelaide, Australia; Emel Akozer, Ankara, Turkey; Ashraf Salama, Cairo, Egypt; Marwan Ghandour, Beirut, Lebanon; Hana Alamuddin, Beirut, Lebanon; Mohamed Awad, Alexandria, Egypt; Pierre Von Meiss, Lausanne, Switzerland; Attilio Petruccioli, Bari, Italy; Kambis Navai, Tehran, Iran; Heba Safey El-deen, Cairo, Egypt; Mohamed Al Asad, Amman, Jordan; Sultan Barakat, York, UK; Roger MacGinty, York, UK; Sultan Al Harithy, Muscat, Oman; Ann Beamish, Cambridge, MA: USA; Amr Abdel Kawi, Cairo, Egypt; Nasser Rabbat, Cambridge, MA: USA
Kôm Ombo (2023)
No full textDonnée scientifiques produites :https://www.ifao.egnet.net/archeologie/kom-ombo/En raison de sa nomination à la tête du Musée égyptien du Caire, le Prof. Ali AbdelHalim Ali n’a pas pu participer à la mission 2023.L’équipe scientifique était secondée dans les travaux de terrain et à la maison de fouille par Ahmed Ragab (responsable de l’intendance), Ashraf Zawan Mahmoud (raïs), Ihab Awad Mohamed et Amer Hasan Metwally Abd Allah (cuisiniers), et les ouvriers spécialisés Waleed Mohamad Yousef, ..
Multicomponent image segmentation using a genetic algorithm and artificial neural network
No full textImage segmentation is an essential process for image analysis. Several methods were developed to segment multicomponent images, and the success of these methods depends on several factors including 1) the characteristics of the acquired image and 2) the percentage of imperfections in the process of image acquisition. The majority of these methods require a priori knowledge, which is difficult to obtain. Furthermore, they assume the existence of models that can estimate its parameters and fit to the given data. However, such a parametric approach is not robust, and its performance is severely affected by the correctness of the utilized parametric model. In this letter, a new multicomponent image segmentation method is developed using a nonparametric unsupervised artificial neural network called Kohonen's self-organizing map (SOM) and hybrid genetic algorithm (HGA). SOM is used to detect the main features that are present in the image; then, HGA is used to cluster the image into homogeneous regions without any a priori knowledge. Experiments that are performed on different satellite images confirm the efficiency and robustness of the SOM-HGA method compared to the Iterative Self-Organizing DATA analysis technique (ISODATA). © 2007 IEEE.ARIA EH, 2004, P 20 ISPRS C IST TUR, P117; AWAD M, IN PRESS INT J REMOT; BACAO F, 2005, P ICCS 2005 C, P476; Baker J. E., 1987, P 2 INT C GEN ALG, P14; CHEN Q, 2004, LECT NOTES COMPUT SC, V33, P621; Chun DN, 1996, PATTERN RECOGN, V29, P1195, DOI 10.1016-0031-3203(95)00148-4; Fauzi M., 2003, P BRIT MACH VIS C, P519; HOLLLAND J, 1975, ADAPT NATURAL ARTIFI; HUAPT R, 2004, PRACTICAL GENETIC AL; Jensen J. R., 1996, INTRO DIGITAL IMAGE; Kohavi R., 1998, APPL MACHINE LEARNIN, V30, P271; Levine M. D., 1985, VISION MAN MACHINE; NEVATIA R, 1980, COMPUT VISION GRAPH, V13, P257, DOI 10.1016-0146-664X(80)90049-0; Ng SC, 1996, IEEE SIGNAL PROC MAG, V13, P38, DOI 10.1109-79.543974; PARZEN E, 1962, ANN MATH STAT, V33, P1065, DOI 10.1214-aoms-1177704472; PERKINS S, 2000, FUZZY SYST EVOL COMP, V3, P52; Pina P, 2003, INT GEOSCI REMOTE SE, P3516; PRATT W, 1991, DIGITA IMAGE PROCESS; Tou J.T., 1974, PATTERN RECOGNITION; Wang X., 2004, P IEEE C ROB AUT MEC, P991; Xiaoying Jin, 2003, Proceedings of the 12th IEEE International Conference on Fuzzy Systems (Cat. No.03CH37442); Xu BG, 2002, AATCC REV, V2, P42; Yao KC, 2000, PATTERN RECOGN, V33, P1575, DOI 10.1016-S0031-3203(99)00135-1; YIN HJ, 1995, NEURAL COMPUT, V7, P1178, DOI 10.1162-neco.1995.7.6.117834232
The sorption of ammonia on brown coal
No full text© 1978 Dr. Awad Rizk OussaThis thesis is a report of an investigation carried out by the author between 1st April 1969 to 31st October 1973 on a full time basis and from 1st December 1975 to 31st July 1978 on a part time basis. The research project was conducted by the author in the Department of Chemical Engineering, University of Melbourne, and on the premises of Australian Char Pty. Ltd., Morwell.
The project was based on the premise that useful information on the brown coal-ammonia system can be obtained from sorption isotherms. The author designed and assembled the apparatus with this in mind, and developed a method of obtaining a self-consistent and meaningful interpretation of the sorption isotherms. Thermodynamic data for the ammonia sorption process was derived and used to develop a preliminary model for the ammonia-brown coal system.
No separate literature review has been presented in the thesis, though frequent reference to the literature has been made in the discussions in each chapter.
Finally, the experimental details have been included in the appendices at the end of the thesis
Superconducting properties of zinc substitution in Tl-2223 phase
No full textThe effect of partial replacement of copper by zinc in Tl2Ba2Ca2Cu3O10-δ superconductor phase is studied. Superconducting samples of the nominal composition Tl2Ba2Ca2Cu3-xZnx O10-δ with x ranging from 0 to 0.6 are prepared under normal pressure by a one step of solid-state reaction technique. The samples are characterized by using X-ray powder diffraction, scanning electron microscope (SEM) and EDX. The X-ray data indicate that the partial replacement of Cu2+ions by Zn2+ions does not influence the tetragonal structure of the samples, and the lattice parameters a and c vary according to the difference in the ionic radii of Cu and Zn. The superconducting parameters, such as superconducting transition temperature Tc, critical current density Jc and irreversibility field Bir are calculated from electrical resistivity and AC-magnetic susceptibility measurements. © 2007 Elsevier B.V. All rights reserved.Abou-Aly A.I., 2002, INT C RES TRENDS SCI, V91; ADACHI S, 1990, PHYSICA C, V111, P543; Awad R, 2000, PHYSICA C, V341, P685, DOI 10.1016-S0921-4534(00)00650-X; Awad R, 2007, SUPERCOND SCI TECH, V20, P401, DOI 10.1088-0953-2048-20-4-017; Awad R, 2001, PHYSICA B, V307, P72, DOI 10.1016-S0921-4526(01)00971-1; Batista-Leyva AJ, 2003, SUPERCOND SCI TECH, V16, P857, DOI 10.1088-0953-2048-16-8-305; BEAN CP, 1964, REV MOD PHYS, V36, P31, DOI 10.1103-RevModPhys.36.31; BERKLEY DD, 1993, PHYS REV B, V47, P5524, DOI 10.1103-PhysRevB.47.5524; CHEN DX, 1990, PHYSICA C, V167, P317, DOI 10.1016-0921-4534(90)90349-J; Chu SY, 2000, PHYSICA C, V337, P229, DOI 10.1016-S0921-4534(00)00107-6; Fradina IA, 1999, PHYSICA C, V311, P81, DOI 10.1016-S0921-4534(98)00563-2; Glowacki BA, 1997, CRYOGENICS, V37, P609, DOI 10.1016-S0011-2275(97)00053-2; HAZEN RM, 1988, PHYS REV LETT, V60, P1657, DOI 10.1103-PhysRevLett.60.1657; Isber S, 2005, SUPERCOND SCI TECH, V18, P311, DOI 10.1088-0953-2048-18-3-018; Isber S, 2006, J PHYS CONF SER, V43, P450, DOI 10.1088-1742-6596-43-1-112; Kayed TS, 2003, CRYST RES TECHNOL, V38, P946, DOI 10.1002-crat.200310118; Kuhberger M, 2003, PHYSICA C, V390, P263, DOI 10.1016-S0921-4534(03)00706-8; LEE MW, 1995, PHYSICA C, V245, P6, DOI 10.1016-0921-4534(95)00100-X; Mezzetti E, 2000, PHYSICA C, V332, P115, DOI 10.1016-S0921-4534(00)00008-3; MOHAMMED NH, 2005, ARAB INT C REC ADV P, P9; Nishida A, 2003, PHYSICA C, V392, P349, DOI 10.1016-S0921-4534(03)00848-7; Pavard S, 1999, PHYSICA C, V316, P198, DOI 10.1016-S0921-4534(99)00259-2; Ravi S, 2000, PHYSICA C, V330, P58, DOI 10.1016-S0921-4534(99)00611-5; REN ZF, 1991, PHYSICA C, V184, P24, DOI 10.1016-0921-4534(91)91496-Q; RUCKENSTEIN E, 1989, MATER LETT, V8, P421, DOI 10.1016-0167-577X(89)90065-7; Tang H, 1997, PHYSICA C, V282, P2111, DOI 10.1016-S0921-4534(97)01171-4; Triscone G, 1996, PHYSICA C, V264, P233, DOI 10.1016-0921-4534(96)00262-6; VANDERAH TA, 1992, CHEM SUPERCONDUCTOR, P90; WANG YB, 1993, J LOW TEMP PHYS, V15, P169; WESTERHOLT K, 1989, PHYS REV B, V39, P11680, DOI 10.1103-PhysRevB.39.11680; Wisniewski A, 2000, PHYS REV B, V61, P791, DOI 10.1103-PhysRevB.61.791; XU YW, 1990, PHYSICA C, V169, P205, DOI 10.1016-0921-4534(90)90177-G; Yamauchi H, 1998, SUPERCOND SCI TECH, V11, P1006, DOI 10.1088-0953-2048-11-10-022; Yang Li, 1994, Physics Letters A, V18543
Adverbial Errors in Arabic-English Bidirectional Translation among English Department Sophomore and Junior Students at the Islamic University of Gaza
No full textAdverbial Errors in Arabic-English Bidirectional Translation among English Department Sophomore and Junior Students at the Islamic University of Gaz
Modeling the Cumulative Impact of Change Orders
No full textChange orders occur in almost every construction project and regularly cause variations
to the contractors’ anticipated working conditions, resources, and manner of work completion.
Change orders are major source of additional congestion, change in sequence, and loss of
momentum in the construction jobsite. They frequently cause unforeseen labor productivity loss,
which forces contractors to extend their stays on projects. Contractors encounter a lot of
resistance from owners when proving productivity loss attributable to change orders, which may
lead to unresolved disputes and lengthy litigations.
Previous researchers attempted to set standards and methods in order to quantify the
cumulative impact of changes on labor productivity. Some of the previous studies were based on
case studies of two or three projects, others included a larger number of projects and more
reliable analysis. Generally, it is very difficult to conclusively determine the exact amount of
productivity loss attributable to change orders. As a result, there is a continuous need to enhance
and enrich the cumulative impact research field.
This current research is based on a database of one hundred and forty-five mechanical
and electrical projects, encompassing two project groups: projects impacted by changes, and
projects unimpacted by changes. Using two-sample -tests and Chi-squared tests, a series of
numerical and categorical variables were found to be significant in distinguishing between
impacted and unimpacted projects, thus revealing the underlying causes of productivity loss
associated with change orders.
Furthermore, sixty-eight impacted projects were used in order to quantify the cumulative
impact of changes using linear regression analysis. A series of statistical model selection criteria
were applied in order to carefully identify the best predictive models. Candidate models were
statistically diagnosed and thoroughly tested to check their validity. Statistical tests and measures
were used in order to check whether there are outlying or influential observations in the models.
In addition to that, new projects were collected to verify the future predictive ability of the
candidate models. The analysis identified the following six factors as best cumulative impact
predictors: percent owner initiated change orders, overmanning, turnover, absenteeism, percent
time spent by project manager on project, and productivity tracking. The models developed in
this research provide the construction industry with means that could be used during dispute
resolutions to support the contractors’ calculations and assertions for cumulative impact claims.
Finally, this study incorporates a significant statistical component that highlights the most
common challenges that analysts face when building linear regression models, such as
multicollinearity and the presence of hidden extrapolations. The models developed in this
research were extensively analyzed in full details through various statistical tests and measures in
order to avoid misleading and deceptive results
Effect of Seed Pelleting and Water Regime on the Performance of Some Forage Species
No full textAn experiment was conducted during the season 2008 in the Nursery of the
Faculty of Agriculture, University of Khartoum, Shambat, Sudan, to investigate the
effect of different levels of water regimes and three types of pelleting on growth
and yield of Alfalfa ( Medicago sativa L.), Teff grass (Eragrostis tef), Rhodes
grass (Choris gayana L.) and Siratro (Macroptilium atropurpureum). Pelleting
treatments used were farmyard manure, clay and silt in ratio of 1:3 and control
using the gum Arabic as a cementing material. Three irrigation intervals were used
namely every other day, every 4 days and every 6 days. The treatments were
arranged in a completely randomized design with three replications. The results
showed that plant height, number of leaves, number of plant per unit area, leaf area
index and forage fresh and dry weights increased significantly with reduction of
irrigation interval. Growth attribute and yield were higher in Teff grass and Rhodes
grass than Alfalfa and Siratro. Pelleting techniques had no significant effects on
yield growth parameters, except plant hight. However, generally the highest
growth attributes seed pelleting treatments were recorded farmyard manure,
followed by clay-silt mixture and lastly control
Progressive image transmission using edge detection
No full textIn this paper, a progressive image compression and transmission using edge detection scheme is adopted. The image is decomposed into two (primary and secondary) components. Canny method is adopted to detect the edges of the encoded image. These edges are replaced with a pre-designed nine basis nameplates. Then, the Macro edge detection technique is used to reduce the number of these nameplates and keep only the edges that are necessary for visual quality.
Eight directional predictions and interpolation technique will be performed on the encoded edges to reconstruct the first layer of the primary component at both receiver and transmitter sides. This is called the 1st stage reconstructed image, which is subtracted from the original to have the 1st stage smooth component. Then, this process will be repeated for the 2nd and the 3rd stage components.
The 3rd stage smooth component is filtered using an optimal decomposition filter and then decimated by a factor of 2. The decimated component is encoded using VQ. The decoded result of the smooth image is added to the three layers that form the primary component to have the reconstructed image. An excellent reconstructed images are found at an average of 0.179 bpp (compression ratio 45:1) and with an average PSNR of 39.45 dB. This algorithm is found to be of lower bit rate than existing image compression techniques.Corresponding Author:
Prof. Awad Kh. Al-Asmari
Electrical Engineering Department
College of Engineering in Al-Kharj, King Saud University, Riyadh 11421, Saudi Arabia
E-mail: [email protected]
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