279 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
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
Herpes simplex keratitis following coronavirus disease 2019 vaccination: an observational study of forty-three cases with different presentations
No full textObjective The aim of this study was to evaluate the cases diagnosed with different presentations of herpes simplex virus (HSV) keratitis following coronavirus disease 2019 (COVID-19) vaccination and to describe the relationship between the disease presentation, the type of vaccine, and the duration between vaccination and disease onset.
Patients and methods This is a retrospective observational clinical study of HSV keratitis cases that was carried out by the Cornea Team at Alexandria Ophthalmology Hospital, Alexandria, Egypt, between March and September 2022. Full medical and ophthalmic history was taken, followed by a thorough ophthalmic examination. The vaccination data of the patients were recorded. The hospital records of the patients visiting the outpatient clinics, at that period, were collected regarding the number of vaccinated and nonvaccinated patients and the type of vaccine received.
Results The study included 43 eyes of 43 patients. Typical dendritic corneal ulcer occurred in 21 (48.8%) eyes, while 5 (11.6%) eyes presented with a geographic ulcer, and 14 (32.6%) eyes were diagnosed as interstitial keratitis with or without ulceration. The remaining 3 (6.98%) eyes presented with disciform keratitis. Vaccination was previously received by 40 (93.02%) patients, while only 3 patients did not receive any vaccine. Oxford-Astra Zeneca vaccine was received by 14 (35%) patients, while the Pfizer-BioNTech vaccine was received by 13 (32.5%) patients, Sinovac vaccine by 10 (25%) patients, and other types of vaccines by three (7.5%) patients. The duration between the last dose received from the vaccine and the onset of symptoms ranged between 2 and 58 days (mean=18.35±13.3 days). Reviewing the hospital records, out of the 65 321 patients who visited the hospital during that period, 47% were nonvaccinated, and 53% were vaccinated with one dose or more of COVID-19 vaccine (Odds ratio=11.8207 indicating a significant association between HSV keratitis and vaccination).
Conclusion Reactivation of HSV keratitis may follow COVID-19 vaccination with different presentations of herpetic keratitis. The Oxford-AstraZeneca and the Pfizer-BioNTech vaccines were significantly associated with HSV ocular infection more than any other type of vaccine
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
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]
TERNIMET FARIS THE BIOGRAPHY NOVEL FOR AWAD ALAAQMI STUDY IN NARRATIVE ELEMENTS AND CONSTITUENTS
No full textتعد الرواية السيرذاتية من أنواع الكتابة السردية الحديثة، فهي تجمع بين خصائص فنين سرديين معروفين هما السيرة والرواية. تنتمي رواية (ترنيمة فارس) لعوض العلقمي إلى هذا النوع من الكتابة، حيث يسرد فيها مؤلفُها الأحداثَ التي مر بها هو وأفراد عائلته ومنطقته منذ عهد حكم السلطنات في خمسينات القرن الماضي وصولًا إلى عام 2018م زمن كتابة هذه الرواية التي قسَّمها مؤلفُها على أربع بنيات حكائية جاءت خيوطها السردية متناسقة ومتماسكة؛ وهي: حكاية مولد الصبار، وحكاية المهجَّرين، وحكاية رجولة قبل الأوان، وحكاية العودة المرتقبة. ونستعرضها نقديًا من ناحية العناصر الشكلية كالعنوان واسم المؤلف والنص الملحق، وكذلك بنية الشخصيات الرئيسة والثانوية، والبنية المكانية والزمنية، سالكين في دراستنا هذه المنهج الوصفي التحليلي. ثم خلصنا إلى إيراد ما توصلنا إليه من نتائج.The biography novel is a modern narrative writing genre, combining between two well-known narrative artists characteristics, the biography and the novel. The novel of “Hymn of Persia” (ternimet Faris) by Awad Al-Alqami is belongs to this type of writing, in which the author recounts the events that he and his family and region have experienced since the rule of the Sultanates in the 1950s till 2018s the time of writing this novel, which divided it by the Author into four tales’ structure whose narrative threads were consistent and coherent. It is: Cactus's born tale, Displaced people tale, manhood prematurely tale, and an expected return story. We have reviewed it critically, in terms of formal elements such as title, author's name and supplementary text, as well as the structure of the main and secondary characters, spatial and temporal structure. In our study, we took this descriptive and analytical curriculum. Then we concluded to these results
Prediction of sand production from a Saudi sandstone reservoir
No full textSand production is encountered in some Saudi oil fields. Six sand samples produced from different wells in a Saudi oil reservoir were obtained. Sandstone samples obtained from the same reservoir were subjected to uniaxial and triaxial failure tests. The debris produced from the sandstone samples and the six sand samples were characterized for their mineralogy using X-ray diffractometer and grain size distribution using standard sieves. Statistical analyses were employed to check whether a statistical difference between the sand samples produced from oil wells and debris collected from the failed sandstone specimens is significant or not. The critical oil rates of the Saudi oil reservoir were also calculated for different well inclination angles. Results show that, no significant statistical difference between the sand samples and debris exists at a confidence level of 95%. Two obvious failure mechanisms, splitting and shear failure, are responsible for sand production from the studied Saudi oil reservoir. The maximum sand-free production for the studied oil reservoir range from 960 to 4080 barrels per day.Corresponding Author:
Professor Musaed N. J. Al-Awad, Petroleum and Natural Gas Engineering, Department, College of Engineering, King Saud University, PO Box 800, Riyadh 11421, Saudi Arabia.
Email: [email protected]
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Digitally-Calibrated Reconfigurable Analog-to-Digital Converters
No full textModern digital communication systems target satisfying multiple standards and different operating scenarios. Applications include read channels of data storage systems, PCIe links, FPGA I/Os, and multi-standard radios. This stimulates the research on reconfigurable analog-to-digital converters (ADCs) to serve as a key building block at the front-end of such systems. Conventional reconfigurable designs suffer from poor figure-of-merit (FoM) scaling with different resolutions, which reduces their flexibility. The limited efficiency of these techniques is attributed to the fact that they fix the ADC architecture for all configurations, whereas the optimum architecture depends on the target resolution. This dissertation introduces an architecture reconfigurable ADC that efficiently covers a wide range of resolutions by configuring the ADC to the proper architecture for each resolution. This leads to a reconfigurable ADC nearly as efficient as dedicated designs in both area and power. Device matching is the heart of precision analog design. Basically, well matched devices come at the expense of larger die, parasitic capacitance and power consumption. Instead of only sizing the devices to achieve the desired accuracy, the intrinsic accuracy of an area efficient converter is designed worse than its resolution. Before or during chip usage, self-calibration automatically detects and corrects for elements mismatches and leads to reduced silicon area and improved yield. This dissertation investigates the efficiency of using body voltage trimming calibration for data converters. The tradeoffs of this technique are studied in details. Suggested methods have been presented to extend the use of bulk voltage trimming beyond technology limitations with minimal area and power overhead and no special technology requirements. The study shows that best results are achieved when mixing bulk trimming with other calibration techniques.Two prototype chips are implemented in 65-nm CMOS to verify the results of this study. The first chip is a 2.5-10GS/s reconfigurable flash ADC. The ADC can be configured to work as a 3-bit, a 4-bit, or a 5-bit ADC with worst case integral nonlinearity (INL) and differential nonlinearity (DNL) of 0.48LSB and 0.35LSB respectively. The ADC achieves a figure-of-merit of 0.46pJ/conv-step and the active area is 0.13mm2. The second chip is a 1.5-4GS/s "architecture" reconfigurable ADC. The ADC covers resolution range from 3b to 7b, and achieves a figure-of-merit of 0.46pJ/conv-step at 7-bit and the active area is 0.15mm2
Multicomponent image segmentation: A comparative analysis between a hybrid genetic algorithm and self-organizing maps
No full textImage segmentation is an essential process in image analysis. Several methods have been developed to segment multicomponent images and the success of these methods depends on the characteristics of the acquired image and the percentage of imperfections in the process of its acquisition. Many of the segmentation methods are parametric, which means that many parameters need to be computed or provided before the segmentation process, and any method that works on one type of multicomponent image cannot necessarily work on another. In addition, many segmentation methods are supervised, where a priori knowledge is needed, such as the number of classes. To overcome these obstacles, a self-organizing map (SOM), which is an unsupervised nonparametric method, was used to segment four different types of multicomponent images (Landsat, SPOT, IKONOS and CASI), and the results compared to those of a new nonparametric unsupervised genetic algorithm (GA) for image segmentation. To improve the performance of the GA, a hill-climbing process and another random heuristic module were added to escape the local-minima trap and to improve the speed of the GA; the new algorithm is called the hybrid genetic algorithm (HGA). Verification of the results was performed using two different techniques: field verification and the functional model. These verification techniques show that the HGA is more accurate in multicomponent image segmentation than the SOM.ARIA E, 1973, P 20 INT SOC PHOT RE, P117; BAKER EB, 1987, P 2 INT C GEN ALG L, P14; BHANU B, 1995, IEEE T SYST MAN CYB, V25, P1543, DOI 10.1109-21.478442; BRICE CR, 1970, ARTIF INTELL, V1, P205, DOI 10.1016-0004-3702(70)90008-1; CHANG YL, 1994, IEEE T IMAGE PROCESS, V3, P868; Chun DN, 1996, PATTERN RECOGN, V29, P1195, DOI 10.1016-0031-3203(95)00148-4; Cohen J, 1960, EDUC PSYCHOL MEAS, V20, P46; COLLET C, 1995, GRESTI STUDY RES GRO, V2, P569; CONGALTON RG, 1991, REMOTE SENS ENVIRON, V37, P35, DOI 10.1016-0034-4257(91)90048-B; Cormen T., 2001, INTRO ALGORITHMS; DEMPSTER AP, 1977, J ROY STAT SOC B MET, V39, P1; Haupt R L, 2004, PRACTICAL GENETIC AL; Holland J. H., 1975, ADAPTATION NATURAL A; Jiang T., 2001, ELECT NOTES THEORETI, V46, P1; KHUNKAY S, 1997, P 1997 INT C INF COM, V2, P713; Kim EY, 2000, IEEE SIGNAL PROC LET, V7, P301, DOI 10.1109-97.873564; KIM HJ, 1998, ELECTRON LETT, V34, P1394; Kohavi R., 1998, APPL MACHINE LEARNIN, V30, P271; Kohonen T., 2001, SPRINGER SERIES INFO, V30; Levine M. D., 1985, VISION MAN MACHINE; Lo Bosco G, 2001, 11TH INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, PROCEEDINGS, P262; Ng SC, 1996, IEEE SIGNAL PROC MAG, V13, P38, DOI 10.1109-79.543974; OHLANDER R, 1978, COMPUT VISION GRAPH, V8, P313, DOI 10.1016-0146-664X(78)90060-6; OJOLA T, 1998, PATTERN RECOGN, V19, P1213; PARZEN E, 1962, ANN MATH STAT, V33, P1065, DOI 10.1214-aoms-1177704472; Pham DL, 2000, ANNU REV BIOMED ENG, V2, P315, DOI 10.1146-annurev.bioeng.2.1.315; Pratt WK, 1991, DIGITAL IMAGE PROCES; Schalkoff R.J, 1992, PATTERN RECOGNITION; Shapiro L., 2001, COMPUTER VISION; 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.1995.7.6.1178; Yoshimura M, 1999, PATTERN RECOGN, V32, P2041, DOI 10.1016-S0031-3203(99)00004-7; ZHANG P, 2003, P IEEE C EV COMP CEC, P634; Zouagui T, 2004, PATTERN RECOGN, V37, P1785, DOI 10.1016-j.patcog.2003.12.01462
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