نتایج جستجو برای: dynamic probing

تعداد نتایج: 434662  

2011
N. Daniel Kumar Fabian Monrose Michael K. Reiter

Internet measurement studies often require prolonged probing of remote targets to collect information, yet almost all such studies of which we are aware were undertaken without considering the polluting effects of their unconstrained probing behavior. To help researchers conduct experiments in a more responsible fashion, we present a framework and technique that enables efficient execution of l...

2017
Vedran S. Peric Xavier Bombois Luigi Vanfretti

This paper proposes a methodology for the design of a probing signal used for power system electromechanical mode estimation. Firstly, it is shown that probing mode estimation accuracy depends solely on the probing signal’s power spectrum and not on a specific time-domain realization. A relationship between the probing power spectrum and the accuracy of the mode estimation is used to determine ...

2010
Gordon Lyon

Linear probing of a scatte r (or hash) table interpre ts each key or item (these terms are inte rchangea ble here) as a probe index into the table [1]. 1 Typically, a key is divided by the table size and the remainder is used for indexing. If the selected slot is empty, the item is not present. Should the slot contain some other key, eacl1 next highe r location is checked until the item is foun...

Journal: :J. Algorithms 1987
Boris Pittel

The worst-case performance of a linear probing algorithm is studied under assumption that each of m locations can contain at most one record. It is shown that the length of the longest sequence of probes needed to insert (locate) a record grows, in probability, as c-‘log m if m and n. the total number of records, approach 03 in such a way that the load factor a = n/m is bounded away from 0 and ...

Journal: :CoRR 2016
Kaan Bingöl Bahaeddin Eravci Çagri Özgenç Etemoglu Hakan Ferhatosmanoglu Bugra Gedik

As social networks are constantly changing and evolving, methods to analyze dynamic social networks are becoming more important in understanding social trends. However, due to the restrictions imposed by the social network service providers, the resources available to fetch the entire contents of a social network are typically very limited. As a result, analysis of dynamic social network data r...

2003
Chiping Tang Philip K. McKinley

Path probing is essential to maintaining an efficient overlay network topology. However, the cost of a full-scale probing is as high as , which is prohibitive in large-scale overlay networks. Several methods have been proposed to reduce probing overhead, although at a cost in terms of probing completeness. In this paper, an orthogonal solution is proposed that trades probing overhead for estima...

Journal: :journal of dentistry, tehran university of medical sciences 0
ak.khoshkhoo nejad sh. mohseni salehi monfared m. rooeintan

statement of problem: among periodontal defects, the furcation involvement represents one of the most chalenging scenarios due to the difficulty of achieving a predictable improvement regardless of the type of periodontal therapy. moreover, the presence of furcation involvement has been demonstrated to considerably affect tooth prognosis. thus, treatment of furcation defects is a challenge in c...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده مهندسی 1389

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

2014
David Eppstein Michael T. Goodrich Michael Mitzenmacher Pawel Pszona

We study wear-leveling techniques for cuckoo hashing, showing that it is possible to achieve a memory wear bound of log logn + O(1) after the insertion of n items into a table of sizeCn for a suitable constantC using cuckoo hashing. Moreover, we study our cuckoo hashing method empirically, showing that it significantly improves on the memory wear performance for classic cuckoo hashing and linea...

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function paginate(evt) { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term pg=parseInt(evt.target.text) var data={ "year":filter_year, "term":term, "pgn":pg } filtered_res=post_and_fetch(data,url) window.scrollTo(0,0); } function update_search_meta(search_meta) { meta_place=document.getElementById("search_meta_data") term=search_meta.term active_pgn=search_meta.pgn num_res=search_meta.num_res num_pages=search_meta.num_pages year=search_meta.year meta_place.dataset.term=term meta_place.dataset.page=active_pgn meta_place.dataset.num_res=num_res meta_place.dataset.num_pages=num_pages meta_place.dataset.year=year document.getElementById("num_result_place").innerHTML=num_res if (year !== "unfilter"){ document.getElementById("year_filter_label").style="display:inline;" document.getElementById("year_filter_place").innerHTML=year }else { document.getElementById("year_filter_label").style="display:none;" document.getElementById("year_filter_place").innerHTML="" } } function update_pagination() { search_meta_place=document.getElementById('search_meta_data') num_pages=search_meta_place.dataset.num_pages; active_pgn=parseInt(search_meta_place.dataset.page); document.getElementById("pgn-ul").innerHTML=""; pgn_html=""; for (i = 1; i <= num_pages; i++){ if (i===active_pgn){ actv="active" }else {actv=""} pgn_li="
  • " +i+ "
  • "; pgn_html+=pgn_li; } document.getElementById("pgn-ul").innerHTML=pgn_html var pgn_links = document.querySelectorAll('.mypgn'); pgn_links.forEach(function(pgn_link) { pgn_link.addEventListener('click', paginate) }) } function post_and_fetch(data,url) { showLoading() xhr = new XMLHttpRequest(); xhr.open('POST', url, true); xhr.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); xhr.onreadystatechange = function() { if (xhr.readyState === 4 && xhr.status === 200) { var resp = xhr.responseText; resp_json=JSON.parse(resp) resp_place = document.getElementById("search_result_div") resp_place.innerHTML = resp_json['results'] search_meta = resp_json['meta'] update_search_meta(search_meta) update_pagination() hideLoading() } }; xhr.send(JSON.stringify(data)); } function unfilter() { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":"unfilter", "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } function deactivate_all_bars(){ var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(bar) { bar.dataset.active = false bar.style = "stroke:#71a3c5;" }) } year_chart.on("created", function() { var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(check) { check.addEventListener('click', checkIndex); }) }); function checkIndex(event) { var yrchart = document.querySelectorAll('.ct-bar'); var year_bar = event.target if (year_bar.dataset.active == "true") { unfilter_res = unfilter() year_bar.dataset.active = false year_bar.style = "stroke:#1d2b3699;" } else { deactivate_all_bars() year_bar.dataset.active = true year_bar.style = "stroke:#e56f6f;" filter_year = chart_data['labels'][Array.from(yrchart).indexOf(year_bar)] url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":filter_year, "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } } function showLoading() { document.getElementById("loading").style.display = "block"; setTimeout(hideLoading, 10000); // 10 seconds } function hideLoading() { document.getElementById("loading").style.display = "none"; } -->