979 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
Switching to the Inflation Targeting Regime: Does it necessary for the case of Egypt?
Get PDFThe purpose of this paper is to answer the question of whether the switching to the Inflation Targeting (IT) regime is necessary for the Egyptian case or not? Our judgment of applying IT regime in the Egyptian economy is established on doubled criterion. That is, the practical experience of the inflation targeters, and the efficiency of Monetary Targeting Regime (MTR) in the case of Egypt. Defining the efficiency of a monetary policy regime by the efficiency of the embedded nominal anchor to send the right message to all practitioners about the potential behavior of the price level, I assessed the efficiency of MTR in Egypt by measuring; whether there is a relationship between money and prices, the stability of the velocity of circulation, and the stability of the demand for money function. The study concluded that MTR is not efficient to tie down individuals expectations about the future path of inflation in Egypt. Taking into account that IT regime is a way to reform monetary policy and it does not worsen economic performance it becomes necessary for Egypt to switch to the IT regime once the prerequisites for IT regime have been met.inflation targeting; demand for money function; monetary policy in Egypt.
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
Towards smooth organisational adoption of cloud computing : a customer-provider security adaptation
No full textCloud computing is daily becoming more and more accepted as a promising computing paradigm. For some years now, cloud computing has been in common use for such applications as Google apps (email, documents, etc), MSN Messenger (instant messaging), Skype (voice communications), and Flickr (image sharing). The idea of offering cloud computing facilities as a public utility began as early as the 1960s with John McCarthy.1, 2, 3 and 4 Organisations and universities offered distributed computing starting in the late 1970s through dial-up access.5 Grid computing was introduced in the early 1990s with the idea of providing access to shared computing power similar to the way electricity is shared through the electric power grid. In addition, open source platforms were first introduced by Eucalyptus, OpenNebula, and Nimbus for deploying private and hybrid clouds.6, 7 and 8Although cloud computing has been available for some time, there is still some organisational resistance to its adoption, not least because of security concerns.Bilal Charif, of Luleå University of Technology, Sweden and Ali Ismail Awad of Luleå University and Al Azhar University, Egypt show that a number of organisations have no internal security responsibilities, nor do they have proper information security policies such as business and disaster recovery plans, all of which makes cloud adoption difficult. In contrast, cloud computing offers recovery plans for small and medium-sized organisations that will often otherwise not be implemented.</p
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
Application for student account management in an organization.
Get PDFCílem této práce je návrh a implementace webové aplikace pro malou organizaci spravující studentské účty podle svých požadavků. Každý student má unikátní RFID kartu a prostřednictvím aplikace si může označit svou docházku a vložit/vybrat virtuální měnu organizace. Pro motivaci studentů je za docházku každého studenta přidána pobídka. Tato pobídka přidává na studentský účet nastavitelnou částku virtuální měny. Čím pravidelnější docházka, tím vyšší motivace. Virtuální měnu lze použít při registraci na akce, nákupu oběda nebo nákupu zboží z obchodu organizace. Aplikace má administrátorskou část, která umožní správu studentů v systému. Aplikace je napsána v Pythonu pomocí webového frameworku Django a je nasazena na Google Cloud Platform pomocí principů DevOps.The goal of this thesis is to provide a web application for a small organization where they have to manage student accounts as per their requirements. Each student has a unique RFID card and through the application, they can mark their attendance and deposit/withdraw the organization’s virtual currency. To motivate the students, an incentive is added for each student’s attendance. This incentive adds an adjustable amount of the virtual currency to the stu- dent’s account. The more regular the attendance, the higher the incentive becomes. The virtual currency can be used when registering for events, buy- ing lunch or purchasing items from the organization’s store. The application has a dashboard for admins to able to manage students in the system. The application is written in Python using the Django web framework and is de- ployed to Google Cloud Platform using DevOps principles
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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