Abstract-Digital image watermarking techniques have been developed widely in recent years to maintain the broadcasting media and content authentication, broadcast monitoring, copy control, and many other applications. Therefore, many studies have used digital image watermarking to solve these problem. This paper highlights digital image watermarking. It starts with a basic model of digital image watermarking, it discusses the main requirements and applications. Moreover, it reviews some of the techniques and algorithm used in image watermarking. In addition, digital image watermarking attacks are discussed. Lastly, Watermarking evaluation system is described.
Fetomaternal hemorrhage refers to the entry of fetal blood into the maternal circulation before or during delivery. Very small amount of fetal red cells are normally detectable in all pregnancies. Massive fetomaternal bleed is very rare and even rarer is the resultant severe anemia causing early neonatal death, despite an uneventful normal pregnancy until the end. Antenatal fetomaternal hemorrhage is a pathological condition with a wide spectrum of clinical variation. Secondary to the resultant anemia, fetomaternal hemorrhage may have devastating consequences for the fetus such as neurologic injury, stillbirth, or neonatal death. The Presentation is frequently without an evident precipitating factor. Recognition may become apparent only after injury has occurred, if at all. The most common antenatal presentation is decreased fetal activity and a heightened index of suspicion is warranted in cases of persistent maternal perception of decreased fetal movements.
HSDUWPHQW RI (OHFWULFDO DQG &RPSXWHU (QJLQHHULQJ )DFXOW\ RI (QJLQHHULQJ ,QWHUQDWLRQDO ,VODPLF XQLYHUVLW\ 0DOD\VLD ,,80 .XDOD /XPSXU 0DOD\VLD 'HSDUWPHQW RI ,QIRUPDWLRQ 6\VWHP )DFXOW\ RI RI ,QIRUPDWLRQ &RPPXQLFDWLRQ 7HFKQRORJ\ ,QWHUQDWLRQDO ,VODPLF 8QLYHUVLW\ 0DOD\VLD .XDOD /XPSXU 0DOD\VLD PRKDVDODK#JPDLOFRP NKDOLID#LLXPHGXP\ IUDVLGDK#LLXPHGXP\ DNUDP]HNL#LLXPHGXP\ $EVWUDFW²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
Citation classification is the task of assigning a category to a reference or citation. The current sets of categories or classes proposed in the literature vary in size and they are based on the analysis of a small sample of citation sentences. We are developing a process to automatically generate such categories and base them on the analysis of a large corpus of papers. Part of the generation process involves selecting the main verb relevant to the reference being cited in the sentence. In this paper we present our recently developed technique that automatically identifies the relevant verb in a citation sentence. The technique uses heuristic rules, which are dependent on the results of a semantic role labeler. Four test sets were collected, and the common annotations of the test sets annotated by three people were used to assess the accuracy of the rules. Through experimentation we show that the average accuracy achieved using our technique that automatically extracts verbs from citation sentences across the four test sets is reasonable at 75%.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.