Locating Leaks with TrustRank Algorithm Support

نویسندگان

  • Luísa Ribeiro
  • Joaquim Sousa
  • Alfeu Sá Marques
  • Nuno E. Simões
  • Luís Reis Santos
  • Andreas Angelakis
چکیده

This paper presents a methodology to quantify and to locate leaks. The original contribution is the use of a tool based on the TrustRank algorithm for the selection of nodes for pressure monitoring. The results from these methodologies presented here are: (I) A sensitivity analysis of the number of pressure transducers on the quality of the final solution; (II) A reduction of the number of pipes to be inspected; and (III) A focus on the problematic pipes which allows a better office planning of the inspection works to perform atthe field. To obtain these results, a methodology for the identification of probable leaky pipes and an estimate of their leakage flows is also presented. The potential of the methodology is illustrated with several case studies, considering different levels of water losses and different sets of pressure monitoring nodes. The results are discussed and the solutions obtained show the benefits of the developed methodologies.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Fraudulent Support Telephone Number Identification Based on Co-Occurrence Information on the Web

“Fraudulent support phones” refers to the misleading telephone numbers placed on Web pages or other media that claim to provide services with which they are not associated. Most fraudulent support phone information is found on search engine result pages (SERPs), and such information substantially degrades the search engine user experience. In this paper, we propose an approach to identify fraud...

متن کامل

Fast Asynchronous Anti-TrustRank for Web Spam Detection

Web spam detection is an important problem in Web search. Since Web spam pages tend to have a lot of spurious links, many Web spam detection algorithms exploit the hyperlink structure between the Web pages to detect the spam pages. Anti-TrustRank algorithm is a well-known link-based spam detection algorithm which follows the principle that spam pages are likely to be referenced by other spam pa...

متن کامل

Locating leaks & dumps in open channels with minimal sensing

In this paper, we investigate methods for automated localization of leaks and dumps in an open channel flow. We propose a framework under which we solve this important system health monitoring problem by using a network of level sensors and estimation algorithms. We first discuss numerical techniques for simulating a channel with leaks or dumps. We then give results of a multiple-model estimati...

متن کامل

Exploiting Bidirectional Links: Making Spamming

Previous anti-spamming algorithms based on link structure suffer from either the weakness of the page value metric or the vagueness of the seed selection. In this paper, we propose two page value metrics, AVRank and HVRank. These two “values” of all the web pages can be well assessed by using the bidirectional links’ information. Moreover, with the help of bidirectional links, it becomes easier...

متن کامل

Efficient Methodologies to Handle Hanging Pages Using Virtual Node

In this paper we first explain the Knowledge Extraction (KE) process from World Wide Web (WWW) using Search engines. Then we explore the PageRank algorithm of Google Search engine (one of the famous link based search engine) with its hidden Markov analysis. In that we also explore one of the problems of Link based ranking algorithms called hanging pages or dangling pages (pages without any forw...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015