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Incremental C-Rank: An effective and efficient ranking algorithm for dynamic Web environments
Koo, Jangwan,Chae, Dong-Kyu,Kim, Dong-Jin,Kim, Sang-Wook Elsevier 2019 Knowledge-based systems Vol.176 No.-
<P><B>Abstract</B></P> <P>Web page ranking is one of the core components of search engines. Given a user query, ranking aims to provide a ranked list of Web pages that the user is likely to prefer the most. By and large, the ranking algorithms can be categorized into content-based approaches, link-based approaches, and hybrid approaches. Hybrid ranking algorithms, which exploit both the content and link information, are the most popular and extensively studied techniques. Among the hybrid algorithms, <I>C-Rank</I> combines content and link information in a very effective way using the concept of <I>contribution</I>. This algorithm is known to provide high performance in terms of both accurate and prompt responses to user queries. However, C-Rank suffers from very high costs to reflect the highly dynamic and extremely frequent changes in the World Wide Web, because it re-computes all of the C-Rank scores used for ranking from scratch to reflect the changes. As a result, C-Rank may be considered inappropriate to provide users with accurate and up-to-date search results. This paper aims to remedy this limitation of C-Rank. We propose <I>incremental C-Rank</I>, which is designed to update the C-Rank scores of <I>only a carefully chosen portion of the Web pages</I> rather than those of all of the Web pages <I>without any accuracy loss</I>. Our experimental results on a real-world dataset confirm both the effectiveness and efficiency of our proposed method.</P>
Water quality of an Indian tributary affected by various industrial effluents- a case study
Bharti, Bharti,Jangwan, J.S.,Kumar, Amrish,Kumar, Vivek Techno-Press 2020 Advances in environmental research Vol.9 No.1
Industrialization and urbanization are modern need and trends. Such trends affect the natural ecosystem of rivers. Indian rivers face such problems in a high ratio. The aim of this study is to investigate the cause and amount of pollution in a tributary river Krishni. Pre-monsoon sampling of Krishni river water was performed as per APHA standard. Water samples were collected from different sites of Krishni river. Physiochemical parameters as well as trace elements concentrations have been analysed and results were compared with BIS-2012, WHO-2017 and EPA-2001 recommendations. The presence of high BOD, COD, TDS and others physiochemical parameters along with heavy metals reveals that tributary is highly polluted owing to industrial and domestic discharge either directly or through drains. High values of these parameters are harmful for the ecological health of the river because it makes survival of aquatic flora and fauna at risk. On the basis of the results obtained by the present study, it was concluded that level of the pollution in river Krishni is at alarming phase, where if strong action for the rejuvenation of river not takes place, river becomes a dead pool.
Hwang, Sean,Ha, Jangwan,Choi, Min Young,Jung, Seunguk The Korean Society of Clinical Neurophysiology 2022 Annals of Clinical Neurophysiology Vol.24 No.2
Posterior reversible encephalopathy syndrome (PRES) and reversible cerebral vasoconstriction syndrome (RCVS) are relatively uncommon neurological disorders. These two independent syndromes can be concurrent as a part of a continuum process; however, the specific mechanism is not well known. Although the relationship between RCVS and PRES is currently unclear, they could share a common pathophysiology. This case report aimed to determine the pathophysiology underlying the co-occurrence of PRES and RCVS in a patient with an acute exacerbation of chronic obstructive pulmonary disease.