نتایج جستجو برای: hybrid process

تعداد نتایج: 1481595  

2015
Hadi Mohasel Afshar Justin Domke

Hamiltonian Monte Carlo (HMC) is a successful approach for sampling from continuous densities. However, it has difficulty simulating Hamiltonian dynamics with non-smooth functions, leading to poor performance. This paper is motivated by the behavior of Hamiltonian dynamics in physical systems like optics. We introduce a modification of the Leapfrog discretization of Hamiltonian dynamics on piec...

2015
Eleftherios Avramidis Maja Popović Aljoscha Burchardt

The idea to improve MT quality by using deep linguistic and knowledge-driven information has frequently been expressed. If the goal is to use deep information for building an MT system, there are two extreme options: (1) to start from a purely knowledge-driven approach (RBMT) and try to arrive at the same recall found in current SMT systems; (2) to start from an SMT system and try to arrive at ...

Journal: :Expert Syst. Appl. 2013
José Luís Calvo-Rolle José Luís Casteleiro-Roca Héctor Quintián-Pardo María del Carmen Meizoso-López

With the aim to improve the steel rolling process performance, this research presents a novel hybrid system for selecting the best parameters for tuning in open loop a PID controller. The novel hybrid system combines rule based system and Artificial Neural Networks. With the rule based system, it is modeled the existing knowledge of the PID controller tuning in open loop and, with Artificial Ne...

2007
VYTAUTAS GALVANAUSKAS RIMVYDAS SIMUTIS

An approach for hybrid model parameter identification based on sensitivity equations approach is tested on a hybrid model for biosurfactant production process. The computer simulations were performed using software tools created in Matlab (The MathWorks, Inc.) environment. Possible difficulties and ways of practical implementation of the analyzed identification algorithms for the identification...

Journal: :international journal of information science and management 0
adeleh asemi department of artificial intelligence university of malaya asefeh asemi department of knowledge & information science university of isfahan

supplier evaluation and selection is complex which caused by the dynamic and fuzzy environment. current mcdm methods do not consider the nature of the environment that can affect the process of evaluation and ranking. the aim of this study is to propose a dynamic fuzzy hybrid mcdm method for evaluation, ranking and selection. the proposed method employs fuzzy analytic hierarchy process (fahp) f...

Journal: :فرآوری و نگهداری مواد غذایی 0

triticale (x triticosecale wittmack) is a hybrid seed plant result from wheat and secale. this seed has high amylolitic and protelytic activities, introducing it as adjuncts in mashing process. in this study, influence of malting process on physico-chemical properties variety of barley (namely sahra) and triticale and malt quality of them were investigate. malt of barley was selected as referen...

Journal: :مهندسی صنایع 0
یاسر رحیمی کارشناس ارشد مهندسی صنایع دانشگاه تهران جعفر رزمی عضو هیئت علمی دانشکدۀ مهندسی صنایع دانشگاه تهران اسماعیل چراغی دانشجوی کارشناسی ارشد مهندسی صنایع دانشگاه تهران سیروس شجاعی دانشجوی کارشناسی ارشد مهندسی صنایع دانشگاه علم و صنعت

this paper aims to present a model for agile supply chain model in construction enterprises with performance evaluation of suppliers and contractors. management and selection of suppliers and contractors plays an important role in process of constructions, because contractors are as corner stones of construction projects. also, contractors are the main factor in converting resources to the fina...

2014
Pablo Karelovic Aldo Cipriano

Process simulation is an increasingly useful tool for the analysis of processes in the mineral industry. The ability to simulate process behavior without having to disturb plant operation prevents the loss of man-hours and production. Additionally, simulation tools provide a platform for the development of control and optimization strategies. Model predictive control, in particular, relies heav...

Journal: :Chemical Engineering and Processing - Process Intensification 2018

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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"; } -->