نتایج جستجو برای: manual gain function

تعداد نتایج: 1414574  

2014
Naotoshi Abekawa Hiroaki Gomi

Running head: 9 Updating gain for online visuomotor control 10

Journal: :Journal of neurophysiology 2015
Naotoshi Abekawa Hiroaki Gomi

To capture objects by hand, online motor corrections are required to compensate for self-body movements. Recent studies have shown that background visual motion, usually caused by body movement, plays a significant role in such online corrections. Visual motion applied during a reaching movement induces a rapid and automatic manual following response (MFR) in the direction of the visual motion....

2018
Haiming Tang Christopher J Mungall Huaiyu Mi Paul D Thomas

The Gene Ontology aims to define the universe of functions known for gene products, at the molecular, cellular and organism levels. While the ontology is designed to cover all aspects of biology in a “species independent manner,” the fact remains that many if not most biological functions are restricted in their taxonomic range. This is simply because functions evolve, i.e. like other biologica...

2011
Marie Wasielewski Asad A Usman Peter J Weale James Carr

Background Computer-based inline VF software can aid in the quantitative analysis of left ventricular (LV) function. Inline VF automatically locates the LV base and apex, detects endoand epicardial contours in each cardiac slice and phase, and performs a volumetric calculation to determine ejection fraction (EF), end-diastolic volume (EDV), end-systolic volume (ESV). The method presents an oppo...

Journal: :Journal of analytical toxicology 2009
Sandra C Bishop Glenn Johnson Lisa Smith Dary D Fiorentino Tatiana Garcia Rafael Garcia Christopher Breyer Warren D Loomis

Utilization of a manual sampling function as an alternative to the automatic sampling function in the Alco-Sensor IV Black Dot Model has been recognized by the manufacturer to potentially underestimate an individual's true breath alcohol content (BrAC). A controlled human subject study was conducted to analyze the possible breath-sampling differences between the standard automatic technique and...

2014
Martine Blouin Mathieu Lalumière Dany Gagnon Félix Chénier Rachid Aissaoui

This study describes a new simulator that provides haptic biofeedback to help manual wheelchair users gain a more effective propulsion pattern. Propulsion effectiveness is measured using the mechanical effective force (MEF). The simulator implements a dynamic model that replicates overground propulsion conditions. Haptic biofeedback increases the feeling of rolling resistance if the user’s MEF ...

2007
Kai Yu Mark J. F. Gales Philip C. Woodland

The performance of unsupervised discriminative training has been found to be highly dependent on the accuracy of the initial automatic transcription. This paper examines a strategy where a relatively small amount of poorly recognised data are manually transcribed to supplement the automatically transcribed data. Experiments were carried out on a Mandarin broadcast transcription task using both ...

2015
Rishab Jain Rajesh Kaluri

To develop and deliver software to the customer, validating its quality is highly important. Software testing can be performed manually or using automation tools to identify defects, assess the quality of the product and gain confidence in the software being developed. Automation tools helps in design and execution of test scripts saving time and cost involved in manual testing. This paper main...

2004
Simeon Potts Torsten Möller

Manual opacity transfer function editing for volume rendering can be a difficult and counter-intuitive process. This paper proposes a logarithmically scaled editor, and argues that such a scale relates the height of the transfer function to the rendered intensity of a region of particular density in the volume almost directly, resulting in much improved, simpler manual transfer function editing.

2007
K. Yu M.J.F. Gales

The performance of unsupervised discriminative training has been found to be highly dependent on the accuracy of the initial automatic transcription. This paper examines a strategy where a relatively small amount of poorly recognised data are manually transcribed to supplement the automatically transcribed data. Experiments were carried out on a Mandarin broadcast transcription task using both ...

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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"; } -->