28 research outputs found
From water scarcity to sustainable water use in the West Bank, Palestine
No full textWatermanagementCivil Engineering and Geoscience
Detecting correlated Gaussian databases
No full textCCF-1955981 - National Science Foundationhttps://arxiv.org/abs/2206.12011First author draf
Q-measures for binary divided networks: an investigation within the field of informetrics
No full textQ-measures for binary divided networks, as introduced by Flom, Friedman, Strauss and Neaigus are studied. These measures try to capture the idea of bridges between two groups in a connected undirected network. Values for these measures are calculated for building blocks such as line and star networks. As an application two small co-author networks are analyzed
Dynamic current testing for CMOS domino circuits
No full textIn this paper, we propose a method for testing CMOS domino circuits using the transient power supply current. The method is based on monitoring and processing the transient current. We evaluate the effectiveness of this testing method through simulations of various domino circuits of different sizes. Moreover, we propose a normalising technique to mask the process variations effect associated with current testing. Furthermore, we present a test vector generation algorithm for testing large domino circuits, and develop and implement a clustering technique to improve the fault coverage of the test method when used with large circuits. The clustering algorithm divides the circuit into different clusters where each cluster is fed by a different power supply branch.Aaraj N., 2004, Proceedings. 19th IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems; Aitken RC, 1999, COMPUTER, V32, P46, DOI 10.1109-2.803640; Bollinger S. W., 1991, Proceedings. International Test Conference 1991 (IEEE Cat. No.91CH3032-0); BRUNI L, 1992, P IEEE INT S CIRC SY, P431; Chang JTY, 1997, IEEE INTERNATIONAL WORKSHOP ON IDDQ TESTING, DIGEST OF PAPERS, P106; Chang J. T.-Y., 1998, Proceedings International Test Conference 1998 (IEEE Cat. No.98CH36270), DOI 10.1109-TEST.1998.743280; CHEHAB A, 2002, P 1 INT WORKSH EL DE; CHEHAB A, 2004, IEEE INT WORKSH CURR, P11; Cheng CH, 2000, PROCEEDINGS OF THE NINTH ASIAN TEST SYMPOSIUM (ATS 2000), P435; CHENG CH, 1999, IEEE INT S DEF FAULT, P77; Cheng KT, 1999, COMPUTER, V32, P58; FERGUSON FJ, 1990, P INT TEST C; GERMIDA A, 1999, P INT TEST C, P67; Goldstein L. H., 1980, Proceedings of the 17th Design Automation Conference, DOI 10.1145-800139.804528; Heragu K, 2001, IEEE VLSI TEST SYMP, P396; JHA NK, 1988, IEEE T COMPUT AID D, V7, P109, DOI 10.1109-43.3138; JHA NK, 1990, IEEE J SOLID-ST CIRC, V25, P800, DOI 10.1109-4.102678; Kundu R., 2003, Proceedings. International Test Conference 2003 (IEEE Cat. No.03CH37494); KUNDU R, 2002, VLSI TEST S, P379; LEE K, 1991, P VLSI TEST S, P303; LEE KJ, 1990, PROCEEDINGS : INTERNATIONAL TEST CONFERENCE 1990, P417, DOI 10.1109-TEST.1990.114050; Makki RZ, 1995, PROCEEDINGS - INTERNATIONAL TEST CONFERENCE 1995, P892, DOI 10.1109-TEST.1995.529922; Maxwell P. C., 1992, Journal of Electronic Testing: Theory and Applications, V3, DOI 10.1007-BF00135334; MCEUEN S, 1991, P IEEE VLSI TEST S, P285; McEuen S. D., 1992, Journal of Electronic Testing: Theory and Applications, V3, DOI 10.1007-BF00135336; MIN Y, 1997, AS TEST S, P378; Natarajan S., 2001, Proceedings International Test Conference 2001 (Cat. No.01CH37260), DOI 10.1109-TEST.2001.966653; PURI R, 1996, P IEEE ACM INT C COM, P2, DOI 10.1109-ICCAD.1996.568901; REDDY SM, 1973, IEEE T COMPUT, VC-22, P1016, DOI 10.1109-T-C.1973.223638; Rodriguez-Montanes R., 1991, Proceedings. International Test Conference 1991 (IEEE Cat. No.91CH3032-0); Sachdev M., 1998, Proceedings International Test Conference 1998 (IEEE Cat. No.98CH36270), DOI 10.1109-TEST.1998.743153; *SIS, 2005, SIS 1 3 UNOFFICIAL D; SU ST, 1995, J ELECTRON TEST, V6, P23, DOI 10.1007-BF00993128; Vinnakota B., 1996, Proceedings. 14th IEEE VLSI Test Symposium (Cat. No.96TB100043), DOI 10.1109-VTEST.1996.510897; WALKER A, 1997, IEEE INT S DEF FAULT, P272; WISCOMBE C, 1993, P INT TEST C, P29311
Cross-Domain Semantic Web Model for Understanding Multilingual Natural Language Queries: English/Arabic Health/Food Domain Use Case
No full textAbstractWith the growth of the Semantic Web and its applications, the need to use it in different languages, such as Arabic, is becoming more important. Two of the challenges with the Semantic Web technologies are the lack of multilingual support and the complexity of integrating multiple ontologies used by this technology. The objective of this paper is to present efforts that will help users who use the Arabic language to ask natural language questions and then get their semantic representation in SPARQL that allows them to be executed and get the relevant semantic results. This natural language interface makes more use of the cross-domain ontologies and hence improves the understanding of their inquiries, which is needed in some critical domains such as health and food where precise advice is essential. The approach we followed is multilingual and overcomes the limitations in the published relevant systems. With the proposed approach, users who speak Arabic can use the widely published ontologies in English without concern for the translation of their questions. The proposed approach will take care of matching the entered questions with the relevant ontologies to produce their semantic Web queries. The proposed approach has been implemented and empirically evaluated. The experimental results are promising, which will help in improving the awareness and usage of the Semantic Web by different lingual and cultural users
Environmental hazards of wastewater disposal on groundwater at the West Sohag site, Egypt
No full textAbstract Effluent infiltration from wastewater treatment plants into groundwater systems can be a source of contaminants of emerging concern that are not fully removed during the treatment processes. In the lowland desert area in Upper Egypt between the Eocene Limestone plateau and the new floodplain, wastewater disposal plants have been set up. Woody farmland will be irrigated with the treated wastewater. Some wastewater disposal sites, including the west Sohag site, have been operating since 1990. This site is considered a very hazardous source of soil and groundwater pollution. The current work aims to assess the environmental impact of the sewage water treatment plants (west Sohag site) in the Sohag Governorate, Egypt, using remote sensing and geochemical techniques. Monitoring the continuous extent of sewage water leakage and heavy metal mobility in the groundwater. The detailed visual interpretation of the different remote sensing data showed that the contaminated areas increased substantially. The area was classified into four classes, namely Urban centers, agricultural areas, water courses, and barren lands. The study showed that insufficient land is available to accommodate the projected quantities of wastewater. The hydraulic conductivity varies between 0.29 and 3.72 m/day with an average porosity of 38.9%. Excess raw wastewater accumulates on the ground surface at current operating sites, forming large, uncontrolled ponds. When soil, crops, and water supplies are contaminated chemically and bacteriologically, such ponds pose a risk to the ecosystem and could have catastrophic health consequences. Average heavy metal concentrations in the analyzed groundwater decreased from Zn > Cu > Pb > Cd, with mean values of 8.55 > 0.421 > 0.282 > 0.207 ppm, respectively. The correlations between heavy elements in the water are very high, with correlation coefficients greater than 0.8 between Pb & Cd, Pb & Cu, Pb & Zn, Cd & Cu, Cd & Zn, and Cu & Zn. According to speciation analysis, Zn, Cu, Pb, and Cd are highly mobile metals in the study area. Our findings confirmed the occurrence of sewage water leaking into the groundwater aquifer in the study area. These results offer useful data for examining the transport properties of heavy metal contaminants and developing practical remediation strategies
Transient current testing of dynamic CMOS circuits
No full textWe propose methods for testing dynamic CMOS circuits using the transient power supply current, iDDT. The methods are based on setting the primary inputs of the circuit under test, switching the clock signal and monitoring iDDT. We target resistive open defects that can either cause the circuit to fail, or introduce unacceptable delay and hence result in degraded circuit performance. Results of fault simulation of domino CMOS circuits show a high rate of detection for resistive open faults that cannot be otherwise detected using traditional voltage or IDDQ testing. We also show that by using a normalization procedure, the defects can be detected with a single threshold setup in the presence of leakage and process variations. © 2004 IEEE.ADAMS RD, 1999, P VLSI TEST S; BOLLINGER SW, 1991, INTERNATIONAL TEST CONFERENCE 1991, P598; CHANG J, 1997, P IEEE INT WORKSH ID; CHEHAB A, 2002, P 1 INT WORKSH EL DE; CHEHAB A, 2004, P IEEE INT WORKSH DE; GERRNIDA A, 1999, P INT TEST C, P67; LEE K, 1991, P VLSI TEST S, P303; LEE KJ, 1990, PROCEEDINGS : INTERNATIONAL TEST CONFERENCE 1990, P417, DOI 10.1109-TEST.1990.114050; LEE KJ, 1990, P IEEE INT S CIRC SY, P5; MACDONALD E, 2000, P 9 AS TEST S; Malaiya Y. K., 1982, P INT TEST C, P25; MAXWELL PM, 1992, J ELECTRON TEST, P305; MCEUEN S, 1991, P IEEE VLSI TEST S, P285; McEuen S. D., 1992, Journal of Electronic Testing: Theory and Applications, V3, DOI 10.1007-BF00135336; ROSING R, 1998, P IEEE INT WORKSH ID; Sachdev M., 1998, Proceedings International Test Conference 1998 (IEEE Cat. No.98CH36270), DOI 10.1109-TEST.1998.743153; SU S, 1995, J ELECTRON TEST, P23; Vinnakota B., 1996, Proceedings. 14th IEEE VLSI Test Symposium (Cat. No.96TB100043), DOI 10.1109-VTEST.1996.510897; WALKER A, 1997, P WORKSH DEF FAULT T20
On the biology of Eristalis aeneus (Scopoli) in Saudi Arabia ( Diptera: Syrphidae).
No full textAdults were diurnal and attracted to yellow and blue flowers, feeding upon their nectar. They were photopositive as long as the temperature does not exceed 30oC. Preoviposition, oviposition, postoviposition periods, the fecundity of females and the longevity of both sexes were determined. Duration of the immature stages and the effect of humidity on the viability and hatchability of eggs were investigated. Larval feeding habits and their number of instars were observed. -from Author
The Intellectual Representative of the School of objective Criticism: Azhar Ghouri: مکتبۂ معروضی نقد ونظر کا فکری نمایندہ: اظہر غوری
No full textObject oriented approach of criticism has its roots in post continental philosophies based on perdiction and vision. Azhar Ghouri has strong advocacy for universalization of values and global adaptation of critical thinking styles. He believes in sublimity of Art and architecture regardless of classic or modern as a label for critical analysis. He believes in exploration of ideas and vision with insight in any piece of literature beyond its mechanical structure. Colonialism, exploitation, industrialisation, hunger, fear, shelter, peace and justice are controversial in global village according to A. G which needed to be reflected in art and literature in modes of individual’s interest. Author of this artical has explored gross root level realities and fundamental beliefs of object oriented approach in literary works of A.G. The agitation through pen has always been an eye opener initiative to stimulate the reader same has been highlighted by the author in the artical.
Reference:
Azhar Ghori ,do tehzibo ki dohri maanwiyat kay hamil afsanay,mazmoon mashmoola,jahan e rang o boo,az nayar aqbal alwi,Lahore,multi media,affairs,2005,s 7.
Azhar Ghori,Nazriyati murassa kaar afsaana nigar,Sami Ajaow,gair muratba,19 July,2023
Azhar Ghori,Takhliqi shaoor ki Shairi,Ghair muratba,2002.
Azhar Ghori,Awam dushman nizam ko badalnay ka muharak,,nukta nazer ,mutbuaa ,haft rooza,siraat ,2009.
Azhar Ghori,ghair mutboowa mazmmon,2021.
Azhar Ghori ,Tareikhi shasoor ki hamil shairi,ghair mutbuaa,16 junauary,2023.
Azhar Ghori,Sufaid jhoot,Dr uzma aziz khan kay shahkaar afsanchay,Lahore ,multi media affairs,2023,s.107
Analysis of BoostOR: A Twitter Bot Detection Classification Algorithm
No full textabstract: The prevalence of bots, or automated accounts, on social media is a well-known problem. Some of the ways bots harm social media users include, but are not limited to, spreading misinformation, influencing topic discussions, and dispersing harmful links. Bots have affected the field of disaster relief on social media as well. These bots cause problems such as preventing rescuers from determining credible calls for help, spreading fake news and other malicious content, and generating large amounts of content which burdens rescuers attempting to provide aid in the aftermath of disasters. To address these problems, this research seeks to detect bots participating in disaster event related discussions and increase the recall, or number of bots removed from the network, of Twitter bot detection methods. The removal of these bots will also prevent human users from accidentally interacting with these bot accounts and being manipulated by them. To accomplish this goal, an existing bot detection classification algorithm known as BoostOR was employed. BoostOR is an ensemble learning algorithm originally modeled to increase bot detection recall in a dataset and it has the possibility to solve the social media bot dilemma where there may be several different types of bots in the data. BoostOR was first introduced as an adjustment to existing ensemble classifiers to increase recall. However, after testing the BoostOR algorithm on unobserved datasets, results showed that BoostOR does not perform as expected. This study attempts to improve the BoostOR algorithm by comparing it with a baseline classification algorithm, AdaBoost, and then discussing the intentional differences between the two. Additionally, this study presents the main factors which contribute to the shortcomings of the BoostOR algorithm and proposes a solution to improve it. These recommendations should ensure that the BoostOR algorithm can be applied to new and unobserved datasets in the future
