WorldWideScience

Sample records for hanni anne luik

  1. [Raamat] / Viivi Luik

    Index Scriptorium Estoniae

    Luik, Viivi, 1946-

    2003-01-01

    Arvustus: Singer, Isaac Bashevis. Eksinud Ameerikasse / inglise keelest tõlkinud Udo Uibo. Tallinn : Vagabund, 2003. Ilmunud ka: Luik, Viivi. Kõne koolimaja haual. Tallinn : Tuum, 2006, lk. 82-83, pealk. "Eksinud Ameerikasse"

  2. Luik parlamendiliikmete maratonil esimene / Enriika Liiv

    Index Scriptorium Estoniae

    Liiv, Enriika

    2008-01-01

    Maailma parlamendiliikmete maratoni maailmameistrivõistlustel Krakowis pühapäeval tuli absoluutarvestuses võitjaks Lauri Luik ajaga 2 tundi 57 minutit. Eestit esindasid maratonil riigikogulased Lauri Luik, Jürgen Ligi ja Margus Lepik

  3. Luik on risk Ekspressi aktsiale / Tõnis Oja

    Index Scriptorium Estoniae

    Oja, Tõnis, 1957-

    2007-01-01

    Autor leiab, et Hans H. Luik on Ekspress Grupi suuromanikuna väikeaktsionärile suureks riskifaktoriks, sest keerulistel aegadel, kui tuleb valida väikeaktsionäride ja suuromaniku huvide vahel, eelistab ta väga suure tõenäosusega iseennast

  4. Hariduskulud kasvavad 7,9% / Lauri Luik

    Index Scriptorium Estoniae

    Luik, Lauri, 1982-

    2011-01-01

    Õpetajate palga tõstmisest. 2011. aasta riigieelarves on hariduskulude tõus 7,9 protsenti. Vastukaja Kalle Kalda avalikule kirjale: Lauri Luik, valet vähemaks enne valimisi! Õpetajate Leht 2010 8. okt. lk. 2

  5. Tülikas meediademokraat Hans H. Luik / Hans H Luik ; interv. Jaanika Merilo

    Index Scriptorium Estoniae

    Luik, Hans H., 1961-

    2006-01-01

    Ekspress Grupi omanik ja nõukogu liige Hans H. Luik vastab küsimustele, mis puudutavad Ekspress Grupi võimlikku börsile minekut, meediaportfelli laiendamist ning tema vastu suunatuid rünnakuid. Skeem: Ekspress Grupp. Tabelid: Eesti Ekspressi majandusnäitajad; Ekspress Grupi majandusnäitajad. Kommenteerivad: Tuomas Siltala, Karoly Kirber, Lauri Lind ja Peeter Koppel

  6. Mis on elus olulisim / Aita Kivi

    Index Scriptorium Estoniae

    Kivi, Aita, 1954-

    2002-01-01

    Sisu : Mitch Albom. Teisipäevad Morrie'ga; Santa Montefiore. Oota mind ombupuu all; Ridley Pearson. Tont teab kus; Sebastian Faulks. Linnulaul; Kerttu Rakke. Iluasjake; Merike Hanni. Kooliraha; Viivi Luik. Ajaloo ilu; Hermann Hesse. Stepihunt; Eesti luulet läbi aegade / [koostanud Marika Vingissar; Philip K. Dick. Ubik; Marion Zimmer Bradley. Avaloni udud; Kuus eesti luuletajat / koostanud Anne Lange

  7. Rotermanni proovijahuveski = Rotermann flour test sample mill / Ainar Luik, Emil Urbel

    Index Scriptorium Estoniae

    Luik, Ainar, 1968-

    2009-01-01

    Tallinna Rotermanni kvartali proovijahuveski renoveerimisest äri- ja kaubanduspindadeks. Arhitekt AB Emil Urbel, autorid Emil Urbel ja Ainar Luik, konstruktorid Tõnu Peipmann ja Andres Sokk. Projekt 2007, valmis 2008

  8. Luik andis Julianus Inkassos ohjad käest / Anne Oja

    Index Scriptorium Estoniae

    Oja, Anne, 1970-

    2010-01-01

    Julianus Grupp läks investoreile, kes on võlgade sissenõudmisse investeerinud üle 100 mln. krooni. 98,99% ulatuses Hans H. Luigele kuuluv Ice Credit Group (2008. aastani Julianus Grupp) pole 2009. aasta aruannet siiani esitanud

  9. Mahepõllumajandus saab parandada Läänemere seisundit / Anne Luik

    Index Scriptorium Estoniae

    Luik, Anne, 1949-

    2011-01-01

    BERAS projekti (Baltic Ecological Recycling Agriculture and Society Implementation) raames on esmatähtis anda edasi teadmisi, kuidas minna põllumajanduses üle ökoloogilisele taaskasutavale tootmisviisile

  10. Elmar Lepp ja Hans H. Luik lammutavad Pärnu veetorni / Peeter Raidla

    Index Scriptorium Estoniae

    Raidla, Peeter, 1955-

    2007-01-01

    Meediaärimees Hans H. Luik ja ettevõtja Elmar Lepp tahavad lammutada Pärnu veetorni ning ehitada selle asemele üheksakorruselise hoone, mis naaberkruntide omanike seas on tekitanud ägedat protesti. Vt. samas: Pärnu esimene kooperaator tahab varieteed. Kommenteerib Elmar Lepp

  11. Muutlik varjuteater / Jaak Jõerüü, Viivi Luik ; küsinud Doris Kareva

    Index Scriptorium Estoniae

    Jõerüüt, Jaak, 1947-

    2011-01-01

    Jaak Jõerüüt Viivi Luige romaanist "Varjuteater" ning Viivi Luige ja Hedi Rosma vestlusraamatust "Ma olen raamat" ; Viivi Luik Jaak Jõerüüdi luulekogust "Armastuse laiad, kõrged hooned" ja romaanist "Muutlik". Kõik teosed ilmusid 2010. a.

  12. Eesti Maanteemuuseumi välialad = Estonian Road Museum, outdoor areas / Ralf Lõoke, Karli Luik, Maarja Kask ; intervjueerinud Margit Mutso

    Index Scriptorium Estoniae

    Lõoke, Ralf, 1978-

    2011-01-01

    Arhitektid: Maarja Kask, Karli Luik, Ralf Lõoke, Pelle-Sten Viiburg (Salto AB). Näituse kujundajad: Malle Jürgenson, Tea Tammelaan, Krista Lepland (Laika, Belka & Strelka). Maarja Kask, Karli Luik ja Ralf Lõoke pälvisid Eesti Kultuurkapitali aastapreemia (2010) kõrgetasemelise panuse eest Eesti maa-arhitektuuri: Eesti Maanteemuuseumi välialad (kaasautor Pelle-Sten Viiburg), Sõmeru keskushoone (kaasautorid Kristiina Arusoo ja Margit Argus)

  13. iAnn

    DEFF Research Database (Denmark)

    Jimenez, Rafael C; Albar, Juan P; Bhak, Jong

    2013-01-01

    We present iAnn, an open source community-driven platform for dissemination of life science events, such as courses, conferences and workshops. iAnn allows automatic visualisation and integration of customised event reports. A central repository lies at the core of the platform: curators add subm...... disseminated to all portals that query the system. To facilitate the visualization of announcements, iAnn provides powerful filtering options and views, integrated in Google Maps and Google Calendar. All iAnn widgets are freely available....

  14. Ann tuleb Rakverest Võrru

    Index Scriptorium Estoniae

    2009-01-01

    Võru kultuurimajas Kannel etendub 17. aprillil Rakvere teatri noortelavastus "Kuidas elad? ...Ann?!" Aidi Valliku jutustuse põhjal. Lavastaja Sven Heiberg. Mängivad ka Viljandi Kultuuriakadeemia teatritudengid

  15. Maailma arhitektuurifestival = World Architecture Festival / Ingrid Ruudi ; kommenteerinud Maarja Kask, Karli Luik, Ralf Lõoke, Indrek Allmann, Martin Aunin

    Index Scriptorium Estoniae

    Ruudi, Ingrid, 1978-

    2011-01-01

    Barcelonas 2.-4. nov. 2011 toimunud 4. Maailma arhitektuurifestivalist (WAF). Muljeid jagavad II vooru pääsenud eesti arhitektid Maarja Kask, Karli Luik ja Ralf Lõoke AB-st Salto (Põhuteater, Sõmeru keskus), Martin Aunin (Must maja Nõmmel), Indrek Allmann AB-st Pluss (poolautonoomne saun). Üldvõitja - Media-ICT Barcelonas (Cloud 9 / Enric Ruiz-Geli)

  16. Tõnisson, Tali, Lesta või Raja Teele / Iivi Masso, Andrei Hvostov, Hans H. Luik...[jt.

    Index Scriptorium Estoniae

    2001-01-01

    Neli arvamusliidrit (politoloog Iivi Masso, ajaloolane Andrei Hvostov, meediaärimees Hans H. Luik ja kirjanik Mati Unt) jagavad näpunäiteid Estonia kontserdisaali presidenti valima tulevatele valijameestele. Samas diagramm: Kas tulevane president võib olla kuulunud komparteisse?

  17. Anne-Ly Reimaa : "Suhtlemisel on oluline avatus" / Anne-Ly Reimaa ; interv. Tiia Linnard

    Index Scriptorium Estoniae

    Reimaa, Anne-Ly

    2005-01-01

    Ilmunud ka: Severnoje Poberezhje : Subbota 3. september lk. 5. Intervjueeritav oma tööst Brüsselis, kus esindab Eesti linnade liitu ja Eesti maaomavalitsuste liitu. Arvamust avaldavad Anne Jundas ja Kaia Kaldvee. Lisa: CV

  18. Ann Tenno salapaigad / Margit Tõnson

    Index Scriptorium Estoniae

    Tõnson, Margit, 1978-

    2011-01-01

    Fotograaf Ann Tenno aiandushuvist, pildistamisest maailma erinevates paikades. Uutest suundadest (fototöötlus, fractal art, soojuskaameraga pildistamine) tema loomingus. Katkendeid Ann Tenno 2010. aastal ilmunud proosaraamatust "Üle unepiiri"

  19. Kõnelused Tartus / Anne Untera

    Index Scriptorium Estoniae

    Untera, Anne, 1951-

    2007-01-01

    8.-10. V Tartus toimunud eesti, läti ja saksa kunstiteadlaste ühisseminarist. Alexander Knorre rääkis Karl August Senffi, Ilona Audere Friedrich Ludwig von Maydelli, Mai Levin Karl Alexander von Winkleri, Kristiana Abele Johann Walter-Kurau (1869-1932), Anne Untera Konstantin ja Sally von Kügelgeni, Epp Preem Julie Hagen-Schwartzi, Friedrich Gross Eduard von Gebhardti ja Katharina Hadding Ida Kerkoviuse (1879-1970) loomingust

  20. (ann) based dynamic voltage restorer

    African Journals Online (AJOL)

    HOD

    artificial intelligence to provide smart triggering pulses for the DVR to mitigate and to provide compensation against ... the starting of large induction motor [6]. ... ANN-based DVR under voltage sags and swells phenomena. In this case, the ANN is trained off-line, and the trained network is employed for on-line control.

  1. Nox: Anne Carson's Scrapbook Elegy

    OpenAIRE

    Palleau-Papin, Françoise

    2014-01-01

    In the narrative Nox, Anne Carson composes an elegy for her deceased brother, as much as an elegy to the reproduction of the work of art, from the wax tablet to the digital age, by way of the stencil reproduction, to sustain a reflection on our times. She thus invites her readers to a creative reading, that encompasses loss and death.; Dans son récit Nox, Anne Carson compose une élégie à son frère disparu autant qu'une élégie à l'histoire de la reproduction de l'œuvre d'art, depuis la tablett...

  2. Mida teha, et mehed rohkem õpiksid? / Helena Antunes, Väino Luik, Külliki Kask, Jüri Ginter...[jt.

    Index Scriptorium Estoniae

    2008-01-01

    Küsimusele vastavad täiskasvanukoolitaja Helena Antunes, Viiratsi vallavanem Väino Luik, Tartu Karlova gümnaasiumi õpetaja Külliki Kask, Tartu Ülikooli kasvatusteaduse instituudi õppejõud Jüri Ginter, Tartu täiskasvanute gümnaasiumi õppealajuhataja Marika Kaasik ja Tartu täiskasvanute gümnaasiumi õpilane Kätlin Tali

  3. (ann) based dynamic voltage restorer

    African Journals Online (AJOL)

    HOD

    artificial intelligence to provide smart triggering pulses for the DVR to mitigate and to provide compensation against voltage sags and swells. The Artificial Neural Network (ANN) was trained ... 90% of the nominal rms value and lasting for 0.5cycles. (10msec for 50Hz power system) up to 1 minute. It is considered as the most ...

  4. Anne-Ly Võlli: Iga inimene ja asutus vajab omamoodi lähenemist / Anne-Ly Võlli ; intervjueerinud Jaanika Kressa

    Index Scriptorium Estoniae

    Võlli, Anne-Ly, 1976-

    2009-01-01

    MTÜ Jõgevamaa Omavalitsuste Aktiviseerimiskeskus kinnitas avaliku konkursi tulemusel juhatuse liikmeks Anne-Ly Võlli, kelle ülesandeks on keskuse tegevuse juhtimine ja koostöö arendamine partneromavalitsuste ja teiste koostööpartnerite vahel

  5. Annely Peebo kutsus presidendi kontserdile / Maria Ulfsak

    Index Scriptorium Estoniae

    Ulfsak, Maria, 1981-

    2003-01-01

    Laulja Anneli Peebo kohtus president Arnold Rüütliga, et anda üle kutse Andrea Bocelli ja Annely Peebo ühiskontserdile. Vt. samas: Andrea Bocelli ja Annely Peebo kontsert Tallinna lauluväljakul 23. augustil; Andrea Bocelli

  6. Ede Kurreli preemia Anneli Tammikule

    Index Scriptorium Estoniae

    2004-01-01

    23. septembrist Eesti Tarbekunsti- ja Disainimuuseumis Maria Puki ja Ivar Lubjaku kujundatud eesti kaasaegse ehtekunsti näitus "Laegas". Avamisel esitleti EKA ehte- ja sepakunsti eriala tutvustavat raamatut "Metall 2" ja anti 2004. a. Ede Kurreli preemia Anneli Tammikule roostevabast terasest fotosöövitatud sarja "2D-3D credit" eest. Parima üliõpilastöö autor Kertu Tuberg. 24. IX toimuva ettekannete päeva kava

  7. [Anne Arold. Kontrastive Analyse...] / Paul Alvre

    Index Scriptorium Estoniae

    Alvre, Paul, 1921-2008

    2001-01-01

    Arvustus: Arold, Anne. Kontrastive analyse der Wortbildungsmuster im Deutschen und im Estnischen (am Beispiel der Aussehensadjektive). Tartu, 2000. (Dissertationes philologiae germanicae Universitatis Tartuensis)

  8. Mary Anne Chambers | IDRC - International Development Research ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    A former Member of Provincial Parliament, Mary Anne served as Minister of Training, Colleges and Universities, and Minister of Children and Youth Services in the Government of Ontario. She is also a former senior vice-president of Scotiabank. A graduate of the University of Toronto, Mary Anne has received honorary ...

  9. THE FEMINISM AND FEMININITY OF ANN VERONICA IN H. G. WELLS' ANN VERONICA

    Directory of Open Access Journals (Sweden)

    Liem Satya Limanta

    2002-01-01

    Full Text Available H.G. Well's Ann Veronica structurally seems to be divided into two parts; the first deals with Ann Veronica's struggle to get equality with men and freedom in most aspects of life, such as in politics, economics, education, and sexuality; the second describes much the other side of her individuality which she cannot deny, namely her femininity, such as her crave for love, marriage, maternity, and beauty. H.G. Wells describes vividly the two elements in Ann Veronica, feminism and femininity. As a feminist, Ann Veronica rebelled against her authoritative Victorian father, who regarded women only as men's property to be protected from the harsh world outside. On the other side, Ann could not deny her being a woman after she fell in love with Capes. Her femininity from the second half of the novel then is explored. Although the novel ends with the depiction of the domestic life of Ann Veronica, it does not mean that the feminism is gone altogether. The key point is that the family life Ann chooses as a `submissive' wife and good mother is her choice. It is very different if it is forced on her to do. Thus, this novel depicts both sides of Ann Veronica, her feminism and her femininity.

  10. Feature Selection and ANN Solar Power Prediction

    Directory of Open Access Journals (Sweden)

    Daniel O’Leary

    2017-01-01

    Full Text Available A novel method of solar power forecasting for individuals and small businesses is developed in this paper based on machine learning, image processing, and acoustic classification techniques. Increases in the production of solar power at the consumer level require automated forecasting systems to minimize loss, cost, and environmental impact for homes and businesses that produce and consume power (prosumers. These new participants in the energy market, prosumers, require new artificial neural network (ANN performance tuning techniques to create accurate ANN forecasts. Input masking, an ANN tuning technique developed for acoustic signal classification and image edge detection, is applied to prosumer solar data to improve prosumer forecast accuracy over traditional macrogrid ANN performance tuning techniques. ANN inputs tailor time-of-day masking based on error clustering in the time domain. Results show an improvement in prediction to target correlation, the R2 value, lowering inaccuracy of sample predictions by 14.4%, with corresponding drops in mean average error of 5.37% and root mean squared error of 6.83%.

  11. „Ludzie i książki. Studia i szkice bibliologiczno-biograficzne. Księga pamiątkowa dedykowana Profesor Hannie Tadeusiewicz”, Łódź, Wydawnictwo Ibidem, 2011, ISBN 978-83-62331-12-3.

    Directory of Open Access Journals (Sweden)

    Magdalena Przybysz-Stawska

    2012-12-01

    Full Text Available Abstrakt w j. polskim:Tekst stanowi omówienie publikacji, która ukazała się z okazji jubileuszu 45-lecia pracy naukowej Profesor Hanny Tadeusiewicz. Zaprezentowano podział zawartego w książce materiału, jednocześnie charakteryzując pokrótce wybrane teksty. Zwrócono uwagę na walory wydawnictwa i jego cechy formalne. English Abstract:This paper treats about the publication which was printed on opportunity of 45th anniversary of scientific work of prof. Hanna Tadeusiewicz. It was shown the segregation of the included material, equally characterized in short selected texts. The attention was turn into the quality of the publication and its formal features.

  12. Hanny Demeersseman (leiding en eindredactie), Piet Vermeer ...

    African Journals Online (AJOL)

    rbr

    kamp-Visser). Aangezien de laatste, naar zij mij verteld heeft, alleen verant- woordelijk was voor het Afrikaanse grammaticaatje (pp. 409-414), lijken we te ... Een goede behandeling van de Afrikaanse voornaamwoorden en andere func- ... van de voornaamwoorden, geen volledigheid of ideale keus te verwachten —.

  13. Phosphorus component in AnnAGNPS

    Science.gov (United States)

    Yuan, Y.; Bingner, R.L.; Theurer, F.D.; Rebich, R.A.; Moore, P.A.

    2005-01-01

    The USDA Annualized Agricultural Non-Point Source Pollution model (AnnAGNPS) has been developed to aid in evaluation of watershed response to agricultural management practices. Previous studies have demonstrated the capability of the model to simulate runoff and sediment, but not phosphorus (P). The main purpose of this article is to evaluate the performance of AnnAGNPS on P simulation using comparisons with measurements from the Deep Hollow watershed of the Mississippi Delta Management Systems Evaluation Area (MDMSEA) project. A sensitivity analysis was performed to identify input parameters whose impact is the greatest on P yields. Sensitivity analysis results indicate that the most sensitive variables of those selected are initial soil P contents, P application rate, and plant P uptake. AnnAGNPS simulations of dissolved P yield do not agree well with observed dissolved P yield (Nash-Sutcliffe coefficient of efficiency of 0.34, R2 of 0.51, and slope of 0.24); however, AnnAGNPS simulations of total P yield agree well with observed total P yield (Nash-Sutcliffe coefficient of efficiency of 0.85, R2 of 0.88, and slope of 0.83). The difference in dissolved P yield may be attributed to limitations in model simulation of P processes. Uncertainties in input parameter selections also affect the model's performance.

  14. Ann Arbor, Michigan: Solar in Action (Brochure)

    Energy Technology Data Exchange (ETDEWEB)

    2011-10-01

    This brochure provides an overview of the challenges and successes of Ann Arbor, Michigan, a 2007 Solar America City awardee, on the path toward becoming a solar-powered community. Accomplishments, case studies, key lessons learned, and local resource information are given.

  15. Obituary: Anne Barbara Underhill, 1920-2003

    Science.gov (United States)

    Roman, Nancy Grace

    2003-12-01

    Anne was born in Vancouver, British Columbia on 12 June 1920. Her parents were Frederic Clare Underhill, a civil engineer and Irene Anna (née Creery) Underhill. She had a twin brother and three younger brothers. As a young girl she was active in Girl Guides and graduated from high school winning the Lieutenant Governor's medal as one of the top students in the Province. She also excelled in high school sports. Her mother died when Anne was 18 and, while undertaking her university studies, Anne assisted in raising her younger brothers. Her twin brother was killed in Italy during World War II (1944), a loss that Anne felt deeply. Possibly because of fighting to get ahead in astronomy, a field overwhelming male when she started, she frequently appeared combative. At the University of British Columbia, Anne obtained a BA (honors) in Chemistry (1942), followed by a MA in 1944. After working for the NRC in Montreal for a year, she studied at the University of Toronto prior to entering the University of Chicago in 1946 to obtain her PhD. Her thesis was the first model computed for a multi-layered stellar atmosphere (1948). During this time she worked with Otto Struve, developing a lifetime interest in hot stars and the analysis of their high dispersion spectra. She received two fellowships from the University Women of Canada. She received a U.S. National Research Fellowship to work at the Copenhagen Observatory, and upon its completion, she returned to British Columbia to work at the Dominion Astrophysical Observatory as a research scientist from 1949--1962. During this period she spent a year at Harvard University as a visiting professor and at Princeton where she used their advanced computer to write the first code for modeling stellar atmospheres. Anne was invited to the University of Utrecht (Netherlands) as a full professor in 1962. She was an excellent teacher, well liked by the students in her classes, and by the many individuals that she guided throughout her

  16. Katherine Anne Porter on Her Contemporaries.

    Science.gov (United States)

    Bridges, Phyllis

    Personal experiences with and critical judgments of leading artists and intellectuals of the twentieth century are recorded in Katherine Anne Porter's essays, letters and conversations which provide snapshots of her attitudes and encounters. Porter's commentaries about such contemporaries as Ernest Hemingway, William Faulkner, Saul Bellow,…

  17. Ei viitsi! / Aado Luik

    Index Scriptorium Estoniae

    Luik, Aado, 1937-

    2002-01-01

    Põhjus-tagajärg diagramm (Ishikawa diagramm) annab piltliku ülevaate põhjustest, miks õpilased ei viitsi õppida. Pareto diagramm kajastab näitlikult erinevate põhjuste osa halva tagajärje kujunemises

  18. Comparison of single and modular ANN based fault detector and ...

    African Journals Online (AJOL)

    user

    development of the architecture of modular ANN based fault detector and classifier is same as that of single ANN based fault detector and classifier. The final architecture of modular ..... phases B1, C2 are high and other phases outputs are well below the threshold limit 0.3. However, neutral “N” output of single. ANN based ...

  19. Anneli Randla kaitses doktorikraadi Cambridge'is / Anneli Randla ; interv. Reet Varblane

    Index Scriptorium Estoniae

    Randla, Anneli, 1970-

    1999-01-01

    5. mail kaitses Cambridge'is esimese eesti kunstiteadlasena doktorikraadi Anneli Randla. Töö teema: kerjusmungaordukloostrite arhitektuur Põhja-Euroopas. Juhendaja dr. Deborah Howard. Doktorikraadile esitatavatest nõudmistest, doktoritöö kaitsmisest, magistrikraadi kaitsnu õppimisvõimalustest Cambridge's.

  20. Sonu Shamdasani interviewed by Ann Casement.

    Science.gov (United States)

    Shamdasani, Sonu

    2010-02-01

    Sonu Shamdasani interviewed by Ann Casement about Jung's The Red Book: Liber Novus in the course of which they range over issues to do with what drew Shamdasani to Jung; how he came to be involved in editing, translating and publishing Liber Novus; why he is so passionate about it; where it stands in relation to Jung's other work; some of the central figures that appear in the book such as Philemon and Izdubar; what Liber Novus might offer training candidates and succeeding generations of Jungians; how it has changed Shamdasani's own impression of Jung and what he hopes this enormous project will achieve; why Jung did not publish it in his own lifetime and whether he was mistaken in not doing so; and what impact the publication of Liber Novus will have on Jung's reputation worldwide as well as within the Jungian community.

  1. Application of ANN and fuzzy logic algorithms for streamflow ...

    Indian Academy of Sciences (India)

    Tokar and Johnson (1999) developed ANN model to predict daily streamflow from daily rainfall, evaporation, temperature and snowmelt for watershed. ANN can also be applied to streamflow forecasting (Shivakumar et al. 2002;. Sinha Jitendra et al. 2013), reservoir inflow fore- casting (Jain and Srivastava 1999), sediment ...

  2. An ANN That Applies Pragmatic Decision on Texts.

    Science.gov (United States)

    Aretoulaki, Maria; Tsujii, Jun-ichi

    A computer-based artificial neural network (ANN) that learns to classify sentences in a text as important or unimportant is described. The program is designed to select the sentences that are important enough to be included in composition of an abstract of the text. The ANN is embedded in a conventional symbolic environment consisting of…

  3. Alice-Anne Martin (1926 - 2016)

    CERN Multimedia

    2016-01-01

    Alice-Anne Martin, known as “Schu” from her maiden name Schubert, passed away on 8 January 2016.   (Image: Gérard Bertin) Hired the year CERN was founded, 1954, when the construction of the Laboratory had not even begun, Schu first worked at the Villa de Cointrin (a historic building now within the grounds of Geneva airport) as a secretary. In this role, she typed the convention between CERN and the Swiss Confederation, prepared by Stéphanie Tixier, as well as some of the "Yellow Reports" that have marked key points in the Laboratory’s history. For example, using a special typewriter with two keyboards – Latin and Greek – she typed the Yellow Report on the KAM theorem by Rolf Hagedorn. Schu also worked with Felix Bloch, the first Director-General of CERN, and later became the secretary of Herbert Coblenz, the first CERN librarian. She was head of the team that edited the proceedings of the ...

  4. Final Technical Report, Wind Generator Project (Ann Arbor)

    Energy Technology Data Exchange (ETDEWEB)

    Geisler, Nathan [City of Ann Arbor, MI (United States)

    2017-03-20

    A Final Technical Report (57 pages) describing educational exhibits and devices focused on wind energy, and related outreach activities and programs. Project partnership includes the City of Ann Arbor, MI and the Ann Arbor Hands-on Museum, along with additional sub-recipients, and U.S. Department of Energy/Office of Energy Efficiency and Renewable Energy (EERE). Report relays key milestones and sub-tasks as well as numerous graphics and images of five (5) transportable wind energy demonstration devices and five (5) wind energy exhibits designed and constructed between 2014 and 2016 for transport and use by the Ann Arbor Hands-on Museum.

  5. Application of artificial neural networks (ANNs) in wine technology.

    Science.gov (United States)

    Baykal, Halil; Yildirim, Hatice Kalkan

    2013-01-01

    In recent years, neural networks have turned out as a powerful method for numerous practical applications in a wide variety of disciplines. In more practical terms neural networks are one of nonlinear statistical data modeling tools. They can be used to model complex relationships between inputs and outputs or to find patterns in data. In food technology artificial neural networks (ANNs) are useful for food safety and quality analyses, predicting chemical, functional and sensory properties of various food products during processing and distribution. In wine technology, ANNs have been used for classification and for predicting wine process conditions. This review discusses the basic ANNs technology and its possible applications in wine technology.

  6. On The Comparison of Artificial Neural Network (ANN) and ...

    African Journals Online (AJOL)

    West African Journal of Industrial and Academic Research ... This work presented the results of an experimental comparison of two models: Multinomial Logistic Regression (MLR) and Artificial Neural Network (ANN) for ... Keywords: Multinomial Logistic Regression, Artificial Neural Network, Correct classification rate.

  7. Hubane hambaravi / Ann-Liis Ojaots, Arina Palm-Lillepea

    Index Scriptorium Estoniae

    Ojaots, Ann-Liis

    2014-01-01

    Intervjuu KliinikPluss hambaravikliiniku omaniku Arina Palm-Lillepea ja psühholoogi Ann-Liis Ojaotsaga Sõpruse Ärimajas asuva hambaravi erilisest lähenemisest hambaravile ja teistele toitumisega seotud haigustele nagu nt buliimia

  8. Anne-Marie Sargueil: ilu on kasulik / intervjueerinud Emilie Toomela

    Index Scriptorium Estoniae

    Sargueil, Anne-Marie

    2015-01-01

    Prantsuse Disainiinstituudi juht Anne-Marie Sargueil rääkis prantsuse ja skandinaavia disainist, prantslaste disainieelistustest, uutest suundadest disaini valdkonnas, Eesti Tarbekunsti- ja Disainimuuseumis avatud näitusest "20 prantsuse disainiikooni"

  9. In memoriam dr. Anne van Wijngaarden (1925-2004)

    OpenAIRE

    Broekhuizen, S.; Laar, van, V.

    2005-01-01

    Op 4 oktober 2004 overleed Dr. Anne van Wijngaarden op 78-jarige leeftijd in zijn huis bij Millac- Carlux, Frankrijk. Hij was een van de Nederlandse oprichters van de Vereniging voor Zoogdierkunde en Zoogdierbescherming. Nadat zijn eindexamen op de middelbare school wilde Anne aanvankelijk geologie studeren, maar toen de verplichte excursies te duur bleken, werd het biologie. Nog voordat hij doctoraal-examen had gedaan, kreeg hij een baan bij de Plantenziektenkundige Dienst. Zijn eerste opdra...

  10. Spectrophotometric determination of synthetic colorants using PSO-GA-ANN.

    Science.gov (United States)

    Benvidi, Ali; Abbasi, Saleheh; Gharaghani, Sajjad; Dehghan Tezerjani, Marzieh; Masoum, Saeed

    2017-04-01

    Four common food colorants, containing tartrazine, sunset yellow, ponceau 4R and methyl orange, are simultaneously quantified without prior chemical separation. In this study, an effective artificial neural network (ANN) method is designed for modeling multicomponent absorbance data with the presence of shifts or changes of peak shapes in spectroscopic analysis. Gradient descent methods such as Levenberg-Marquardt function are usually used to determine the parameters of ANN. However, these methods may provide inappropriate parameters. In this paper, we propose combination of genetic algorithms (GA) and partial swarm optimization (PSO) to optimize parameters of ANN, and then the algorithm is used to process the relationship between the absorbance data and the concentration of analytes. The hybrid algorithm has the benefits of both PSO and GA techniques. The performance of this algorithm is compared to the performance of PSO-ANN, PC-ANN and ANN based Levenberg-Marquardt function. The obtained results revealed that the designed model can accurately determine colorant concentrations in real and synthetic samples. According to the observations, it is clear that the proposed hybrid method is a powerful tool to estimate the concentration of food colorants with a high degree of overlap using nonlinear artificial neural network. Copyright © 2016 Elsevier Ltd. All rights reserved.

  11. Anne Veski : "Ju siis ei ole minu rahvusvaheline kuulsus meie presidendi kõrvu jõudnud" / Anne Veski ; interv. Tiia Linnard

    Index Scriptorium Estoniae

    Veski, Anne, 1956-

    2008-01-01

    Laulja Anne Veski arutlusi kontserttegevusest Venemaal ja elust Eestis. Muuhulgas on juttu ka sellest, et Anne Veskit pole kunagi kutsutud presidendi iseseisvuspäeva vastuvõtule. Ilmunud ka: Severnoje Poberezhje 20. märts 2008, lk. 6

  12. Representation of Female Poetics in Anne Finch’s Poe

    Directory of Open Access Journals (Sweden)

    Dilek Sarikaya

    2009-11-01

    Full Text Available Anne Kingsmill Finch, the Countess of Winchelsea (1661-1720, holds an undeniably significant position in the history of women's writing. Although she was among the well-known poets during the 18th century, Anne Finch has only recently received literary appreciation which she deserves. Instead of complying with the conventions of masculine tradition, and prefers to follow a different path from her contemporaries. She concentrates mainly on the negative stereotypes of women and questions the assumptions of 18th century masculine poetic conventions. Undermining the socially constructed ideas about female identity, Anne Finch is very outspoken in her critique of male resistance to the poetry of women. In her poetry, Finch courageously demonstrates a challenging attitude to the prejudiced opinions about women's creative poetic capabilities. Hence, the poetry of Anne Finch which seem to be personal in its exploration of the experiences of a woman poet in the 18th century, it is in fact, fully embedded with ideological arguments trying to change strongly established conventions of writing in her own time. Therefore, through a detailed analysis of her poetry, the major concern of this paper will be to demonstrate that Anne Finch's poetry is specifically committed to the creation of a consciousness for women writers, distinguishing herself and her poetry from the general trend of her own period which attempts to eliminate women writers from the domain of male writing tradition.

  13. Playing tag with ANN: boosted top identification with pattern recognition

    Energy Technology Data Exchange (ETDEWEB)

    Almeida, Leandro G. [Institut de Biologie de l’École Normale Supérieure (IBENS), Inserm 1024- CNRS 8197,46 rue d’Ulm, 75005 Paris (France); Backović, Mihailo [Center for Cosmology, Particle Physics and Phenomenology - CP3,Universite Catholique de Louvain,Louvain-la-neuve (Belgium); Cliche, Mathieu [Laboratory for Elementary Particle Physics, Cornell University,Ithaca, NY 14853 (United States); Lee, Seung J. [Department of Physics, Korea Advanced Institute of Science and Technology,335 Gwahak-ro, Yuseong-gu, Daejeon 305-701 (Korea, Republic of); School of Physics, Korea Institute for Advanced Study,Seoul 130-722 (Korea, Republic of); Perelstein, Maxim [Laboratory for Elementary Particle Physics, Cornell University,Ithaca, NY 14853 (United States)

    2015-07-17

    Many searches for physics beyond the Standard Model at the Large Hadron Collider (LHC) rely on top tagging algorithms, which discriminate between boosted hadronic top quarks and the much more common jets initiated by light quarks and gluons. We note that the hadronic calorimeter (HCAL) effectively takes a “digital image' of each jet, with pixel intensities given by energy deposits in individual HCAL cells. Viewed in this way, top tagging becomes a canonical pattern recognition problem. With this motivation, we present a novel top tagging algorithm based on an Artificial Neural Network (ANN), one of the most popular approaches to pattern recognition. The ANN is trained on a large sample of boosted tops and light quark/gluon jets, and is then applied to independent test samples. The ANN tagger demonstrated excellent performance in a Monte Carlo study: for example, for jets with p{sub T} in the 1100–1200 GeV range, 60% top-tag efficiency can be achieved with a 4% mis-tag rate. We discuss the physical features of the jets identified by the ANN tagger as the most important for classification, as well as correlations between the ANN tagger and some of the familiar top-tagging observables and algorithms.

  14. LFC based adaptive PID controller using ANN and ANFIS techniques

    Directory of Open Access Journals (Sweden)

    Mohamed I. Mosaad

    2014-12-01

    Full Text Available This paper presents an adaptive PID Load Frequency Control (LFC for power systems using Neuro-Fuzzy Inference Systems (ANFIS and Artificial Neural Networks (ANN oriented by Genetic Algorithm (GA. PID controller parameters are tuned off-line by using GA to minimize integral error square over a wide-range of load variations. The values of PID controller parameters obtained from GA are used to train both ANFIS and ANN. Therefore, the two proposed techniques could, online, tune the PID controller parameters for optimal response at any other load point within the operating range. Testing of the developed techniques shows that the adaptive PID-LFC could preserve optimal performance over the whole loading range. Results signify superiority of ANFIS over ANN in terms of performance measures.

  15. The Royal Summer Palace, Ferdinand I and Anne

    Directory of Open Access Journals (Sweden)

    Sylva Dobalová

    2015-12-01

    Full Text Available This essay examines the iconography of the best-known relief from the renaissance Royal Summer Palace at the Prague Castle, depicting Ferdinand I of Habsburg and his wife Anne Jagiello. It highlights its marriage symbolism and the question of the dowry. In the relief Anne, heiress to the Czech Lands, gives her husband an olive branch symbolising peace. In the context of the political significance of the palace’s decoration the relief expresses Ferdinand’s view of his claim to the Bohemian throne, based on his marriage to the heiress. Due to opposition from the Bohemian Estates, this finally became his lawful right in 1545, 24 years after the royal wedding. The Italian sculptor Paolo della Stella expressed a search for a peaceful solution to Ferdinand’s succession. The relief was carved between 1540 and 1550. The interpretations do not rule out the possibility that it was made after Anne had died (1547.

  16. Sammas number kaks / Karli Luik

    Index Scriptorium Estoniae

    Luik, Karli, 1977-

    2011-01-01

    Eesti Kunstiakadeemia uue hoone arhitektuurikonkursi võidutöö "Art Plaza" (Taani arhitektuuribürood Sea ja Effekt) muudetud joonistest. Kadunud on hoonesisene avar avalik ruum ja alles on jäänud tihedad, sügavad, kitsaste pimedate koridoridega korrused

  17. Huvialaring igale lapsele / Lauri Luik

    Index Scriptorium Estoniae

    Luik, Lauri, 1982-

    2008-01-01

    Ilmunud ka: Vooremaa 20. märts lk. 2, Lääne Elu, Põhjarannik, Severnoje Poberezhje 25. märts lk. 2,4,4, Kuulutaja 28. märts lk. 4, Elva Postipoiss 29. märts lk. 4, Pärnu Postimees 4. apr. lk. 21, Paremad Uudised apr. nr. 3 lk. 7, Sakala 2. mai lk. 2. Huvialaringide riiklikust rahastamisest

  18. Leonardot Eestisse oodates / Riina Luik

    Index Scriptorium Estoniae

    Luik, Riina, 1962-

    2010-01-01

    Ühest Itaalia erakogust leitud Leonardo da Vinci väidetavast autoportreest ja selle tuvastamise loost. Maali uurimisprotsessi kaasati Orest Kormašov, kes lõi teosest 3D mudeli. Portreemaali eksponeeritakse Kadrioru Kunstimuuseumis 5.-12. veebruarini 2010

  19. Partitioning and interpolation based hybrid ARIMA–ANN model for ...

    Indian Academy of Sciences (India)

    Time series forecasting; ARIMA; ANN; partitioning and interpolation; Box–Jenkins methodology ... Further, on different experimental TSD like sunspots TSD and electricity price TSD, the proposed hybrid model is applied along with four existing state-of-the-art models and it is found that the proposed model outperforms all ...

  20. 2016-2017 Travel Expense Reports for Mary Anne Chambers ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Beata Bialic

    Date(s):. 2016-08-14 to 2016-08-23. Destination(s):. Peru/Colombia. Airfare: $3,484.87. Other. Transportation: $0.00. Accommodation: $1,942.21. Meals and. Incidentals: $395.27. Other: $75.50. Total: $5,897.85. Comments: 2016-2017 Travel Expense Reports for Mary. Anne Chambers, Governor, Chairperson of the.

  1. 2016-2017 Travel Expense Reports for Margaret Ann Biggs ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Beata Bialic

    Purpose: Internal IDRC meetings. Date(s):. 2016-07-04 to 2016-07-06. Destination(s):. Ottawa. Airfare: $0.00. Other. Transportation: $39.00. Accommodation: $0.00. Meals and. Incidentals: $25.43. Other: $0.00. Total: $64.43. Comments: 2016-2017 Travel Expense Reports for. Margaret Ann Biggs, Chairperson.

  2. 2016-2017 Travel Expense Reports for Mary Anne Chambers ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Beata Bialic

    Purpose: Internal IDRC meetings. Date(s):. 2016-07-06. Destination(s):. Ottawa. Airfare: $482.11. Other. Transportation: $64.30. Accommodation: $0.00. Meals and. Incidentals: $25.28. Other: $0.00. Total: $571.69. Comments: 2016-2017 Travel Expense Reports for Mary. Anne Chambers, Governor, Chairperson of the.

  3. 2016-2017 Travel Expense Reports for Mary Anne Chambers ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Beata Bialic

    Purpose: Board meetings. Date(s):. 2016-11-20 to 2016-11-23. Destination(s):. Ottawa. Airfare: $445.14. Other. Transportation: $29.05. Accommodation: $786.80. Meals and. Incidentals: $76.79. Other: $0.00. Total: $1,337.78. Comments: 2016-2017 Travel Expense Reports for Mary. Anne Chambers, Governor, Chairperson ...

  4. 2017-2018 Travel Expense Reports for Mary Anne Chambers ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Chantal Taylor

    Ottawa. Airfare: $368.41. Other. Transportation: $69.95. Accommodation: $542.79. Meals and. Incidentals: $164.42. Other: $0.00. Total: $1,145.57. Comments: From residence in Thornhill, Ontario. 2017-2018 Travel Expense Reports for Mary. Anne Chambers, Governor, Chairperson of the. Human Resources Committee.

  5. 2016-2017 Travel Expense Reports for Mary Anne Chambers ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    chantal taylor

    Purpose: Board meetings. Date(s):. 2017-03-19 to 2017-03-22. Destination(s):. Ottawa. Airfare: $121.05. Other. Transportation: $51.92. Accommodation: $926.48. Meals and. Incidentals: $190.40. Other: $0.00. Total: $1,289.85. Comments: 2016-2017 Travel Expense Reports for Mary. Anne Chambers, Governor ...

  6. Eesti NATO ukselävel / Mari-Ann Kelam

    Index Scriptorium Estoniae

    Kelam, Mari-Ann, 1946-

    2002-01-01

    Seda, et NATO liitumisläbirääkimistele kutsutavate seas on ka Eesti, saab veel tänagi pidada üheks meie iseseisva riikluse suursaavutuseks, kui mitte imeks, kirjutab Riigikogu liige Mari-Ann Kelam. Autor: Isamaaliit. Parlamendisaadik

  7. Klaas ja mõis / Maie-Ann Raun

    Index Scriptorium Estoniae

    Raun, Maie-Ann, 1938-

    2007-01-01

    Klaasikunstinäitus "Ringkäik" Albu mõisas, kuraatorid Virve Kiil, Kati Kerstna, Kairi Orgusaar. Eksponeeritakse Tiina Sarapu, Mare Saare, Eeva Käsperi, Kai Kiudsoo-Värvi, Pilvi Ojamaa, Merle Bukoveci, Kalli Seina, Viivi-Ann Keerdo, Liisi Junolaineni, Kristiina Uslari, Ivo Lille töid

  8. Appraisal of ANN and ANFIS for Predicting Vertical Total Electron ...

    African Journals Online (AJOL)

    The propagation of the GPS signals are interfered by free electrons which are the massive particles in the ionosphere region and results in delays in the ... Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS) algorithms have been developed for the prediction of VTEC in the ionosphere.

  9. Ants Orasest ja Anne Lange monograafiast / Jüri Talvet

    Index Scriptorium Estoniae

    Talvet, Jüri, 1945-

    2005-01-01

    Arvustus: Oras, Ants. Luulekool. I, Apoloogia / koostajad Hando Runnel ja Jaak Rähesoo. Tartu : Ilmamaa, 2003 ; Oras, Ants. Luulekool II, Meistriklass. Tartu : Ilmamaa, 2004 ; Lange, Anne. Ants Oras : [kirjandusteadlane, -kriitik ja tõlkija (1900-1982)]. Tartu : Ilmamaa, 2004

  10. Application of ANN and fuzzy logic algorithms for streamflow ...

    Indian Academy of Sciences (India)

    The present study focusses on development of models using ANN and fuzzy logic (FL) algorithm for predicting the streamflow for catchment of Savitri River Basin. The input vector to these models were daily rainfall, mean daily evaporation, mean daily temperature and lag streamflow used. In the present study, 20 years ...

  11. Carol Ann Duffy: A Preliminary Bibliography | Bala | Gender and ...

    African Journals Online (AJOL)

    Carol Ann Duffy: A Preliminary Bibliography. I Bala. Abstract. No Abstract. Full Text: EMAIL FULL TEXT EMAIL FULL TEXT · DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT · AJOL African Journals Online. HOW TO USE AJOL... for Researchers · for Librarians · for Authors · FAQ's · More about AJOL · AJOL's Partners ...

  12. Toimus Endel Annuse bibliograafiapäev / Anne Valmas

    Index Scriptorium Estoniae

    Valmas, Anne, 1941-2017

    2012-01-01

    15. veebruaril 2012 peeti TLÜAR-is bibliograafiapäeva esimest korda Endel Annuse nimelisena, anti üle bibliograafiaauhind. Parimaks tunnistati Anneli Sepa koostatud "Uku Masing 100 : bibliograafia 1923-2009" ning "Eesti tehnikaartiklid 1936-1944. Registrid 1918-1944", mille koostas Riina Prööm ning isikunimede koostaja oli Helje Riives

  13. Decolonizing the Choctaws: Teaching LeAnne Howe's "Shell Shaker"

    Science.gov (United States)

    Hollrah, Patrice

    2004-01-01

    "Shell Shaker" (2001) by LeAnne Howe (Choctaw) is a novel that gives students an opportunity to learn that the history and culture of the Choctaw Nation of Oklahoma are alive today. Winner of the Before Columbus Foundation American Book Award in 2002, the novel deals with two parallel stories that converge in the present, one about the eighteenth…

  14. Vene ja prantsuse kunsti imetlemisest Londonis / Ann Alari

    Index Scriptorium Estoniae

    Alari, Ann

    2008-01-01

    Näitus "Venemaalt pärit prantsuse ja vene shedöövrid" kuningliku kunstiakadeemia saalides Londonis. Vaatluse all oli ajavahemik 1870 kuni 1925. Tööd olid pärit Moskvas elanud tekstiilitöösturitest suurärimeeste Sergei Shtshukini ja Ivan Morozovi kogudest, mis 1917. a. natsionaliseeriti. Kuraator Ann Dumas

  15. Kõvõmba olli Võrun kuun / Anneli Saro

    Index Scriptorium Estoniae

    Saro, Anneli, 1968-

    2007-01-01

    9.-11. nov. Võru Kultuurimajas Kannel toimuvast X harrastusteatrite riigifestivalist. Grand prix pälvis Teater Randlane (Jüri Tuuliku "Meretagune asi", lavastaja Maie Matvei), parim meesnäitleja Tiit Tammesson ("Ohvrit mängides"), parim naisnäitleja Anne Pangsepp ("Meretagune asi"), ansamblipreemia Tartu Üliõpilasteater (Fjodor Dostojevski "Sortsid", lavastaja Kalev Kudu)

  16. 2011 : Qu'elle année !

    CERN Multimedia

    Staff Association

    2012-01-01

    « Quelle année ! Et quelle fin d’année ! La star de l’année a été le LHC, avec ses expériences, qui une fois de plus ont été sous les feux de la rampe. Mais on doit aussi citer toute une troupe d’acteurs importants, dans des domaines aussi différents que l’antimatière et l’expérience CLOUD. » Voilà ce que le Directeur général nous a écrit le 20 décembre dans son message avec ses vœux de fin d’année. Sans oublier, bien sûr, les fameux neutrinos hyperrapides vers Gran Sasso qui ont mis le CERN sur le devant de la scène mondiale. Ces succès qui font la fierté et la force de l’Organisation ont été rendus possibles «&...

  17. ANNE TONER. Ellipsis in English Literature: Signs of Omission

    DEFF Research Database (Denmark)

    Lupton, Tina Jane

    2016-01-01

    As a freshman, I once met a PhD Student writing about the use of the comma in Jane Austen. For years the thesis topic kept me entertained as an example of how narrowly focused literary study could become. Reading Anne Toner's Ellipsis in English Literature commits me to a recantation of that joke...

  18. Hiina tervendus / kommenteerivad Anne, Julia, Weihong Song, Fagang Ren

    Index Scriptorium Estoniae

    2013-01-01

    Tallinnas Tulika 19 asuvast Bai Lan Hiina massaažisalongist, kus ravitakse kuputeraapia, gua sha kraapimisplaatide, moksa, nõelravi ja punktmassaaži abil. Tui na massaaži ja hiina loodusteraapia protseduure kommenteerivad spetsialistid ning patsiendid Anne ja Julia

  19. Leipzigi muinsuskaitse mess ja konverents 2006. aastal / Anneli Randla

    Index Scriptorium Estoniae

    Randla, Anneli, 1970-

    2007-01-01

    25.-28. X Leipzigis toimunud Euroopa restaureerimise, muinsuskaitse ja linnauuenduse messist "Denkmal 2006", kus osales 40 riiki 380 väljapanekuga. Konverentsist " Denkmalpflege in Europa. Aktuelle Tendenzen im Umgang mit dem historischen Erbe". Anneli Randla ettekanne puudutas konserveerimise teooriat ja praktikat Eestis

  20. Space partitioning strategies for indoor WLAN positioning with cascade-connected ANN structures.

    Science.gov (United States)

    Borenović, Miloš; Nešković, Aleksandar; Budimir, Djuradj

    2011-02-01

    Position information in indoor environments can be procured using diverse approaches. Due to the ubiquitous presence of WLAN networks, positioning techniques in these environments are the scope of intense research. This paper explores two strategies for space partitioning when utilizing cascade-connected Artificial Neural Networks (ANNs) structures for indoor WLAN positioning. A set of cascade-connected ANN structures with different space partitioning strategies are compared mutually and to the single ANN structure. The benefits of using cascade-connected ANNs structures are shown and discussed in terms of the size of the environment, number of subspaces and partitioning strategy. The optimal cascade-connected ANN structures with space partitioning show up to 50% decrease in median error and up to 12% decrease in the average error with respect to the single ANN model. Finally, the single ANN and the optimal cascade-connected ANN model are compared against other well-known positioning techniques.

  1. Anne Frank relaunched in the world of comics and graphic novels

    NARCIS (Netherlands)

    Ribbens, Kees

    2017-01-01

    Recently the Basel-based Anne Frank Fonds proudly presented the Graphic Diary of Anne Frank. The impression is created as if this is the first ever comic book version of Anne Frank’s narrative. This article shows that there were various predecessors.

  2. Type I (Hannis - Steinthal) Capitellar Fracture: Case Report | Mutiso ...

    African Journals Online (AJOL)

    Capitellar fractures of the elbow present with pain and swelling of the elbow following a fall on an outstretched arm and are rare injuries comprising 0.5-1% of all elbow fractures (1). This is a case report of an adult female who sustained this injury following a fall on her outstretched arm. CT scans revealed a Type I capitellar ...

  3. Estimation of Paddy Equilibrium Moisture Sorption Using ANNs

    Science.gov (United States)

    Amiri Chayjan, R.; Moazez, Y.

    In this research, Artificial Neural Networks (ANNs) used for prediction of Equilibrium Moisture Content (EMC) of three varieties of paddy (Sadri, Tarom and Khazar) as a new method. Feed forward back propagation and cascade forward back propagation networks with Levenberg-Marquardt and Bayesian regularization training algorithms used for training of input patterns. Optimized trained network has the ability of EMC prediction to test patterns at thermal boundary of 20-40°C and relative humidity boundary of 13.5-87% with R2 = 0.9929 and mean absolute error 0.0229. Comparison between optimized ANN result and empirical model of Henderson showed that artificial neural network not only can simultaneously predict the EMC of samples of all varieties but also has better coefficient of determination and less mean absolute error.

  4. Mary Anne Chambers | CRDI - Centre de recherches pour le ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Mary Anne siège actuellement au conseil d'administration du GraceKennedy Group. Elle a également siégé au conseil des gouverneurs de l'Université de Guelph, au conseil d'administration de l'Université de Toronto, ainsi qu'aux conseils d'autres organisations sans but lucratif, comme Cuso International, le Centre de ...

  5. Kuidas Soomes, Ann? Aidi Valliku noorsooraamatute retseptsioonist Soomes

    Directory of Open Access Journals (Sweden)

    Ele Süvalep

    2010-05-01

    Full Text Available The Finnish reception of the translations of two youth books by Aidi Vallik is analysed on the basis of published reviews, web comments and judgements, and the opinions expressed by a class on Estonian children’s literature held at the University of Oulu in 2008. The introductory part touches upon the concepts of young adult literature and youth literature and, briefly, upon some specific traits of youth literature which are important from the perspective of translation and reception. The analysis of the material revealed that the readers would mainly argue against the fi nal resolutions of the stories as those seem to lay too much emphasis on the adult viewpoint and the didactic aspect. The language use was also found problematic. Notably, in “How are you, Ann?” the main character’s narrative seemed too literary, for some readers, especially in comparison with the colourful diary of Ann’s mother, which makes Ann less interesting than her mother. The general attitude, especially for the first book, was nevertheless positive enough. Despite the reservations typical of youth literature the books of Ann were found interesting by most readers, providing an idea of Estonian youth problems and youth literature.

  6. Ann Back Propagation For Forecasting And Simulation Hydroclimatology Data

    Directory of Open Access Journals (Sweden)

    Syaefudin Suhaedi

    2017-10-01

    Full Text Available Government policies in distributing fertilizers and seeds of food crops such as rice and crops depend on the growing season of the farmers. Therefore before conducting the distribution it is necessary to spread early planting season in each region farmers so that the result of distribution is optimal. One of the alternatives that must be done first is to predict the pattern of hydroclimatological data cycle of the coming year to see the pattern of data of previous years. In this case required a method that can be used to predict the hydroclimatological data. The exact method used to make predictions is Artificial Neural Network ANN Back Propagation. As a follow-up step will be predicted by this ANN will be used to build system planning optimal cropping pattern for agricultural crops to avoid harvest failure puso in order to obtain maximum production results so as to support national food security. Based on the results of the simulation is known that ANN Back Propagation with two hidden layer are able to predict hydroclimatological data with an average accuracy of 95.72 - 96.61. While the prediction validation obtained an average percentage error of 1.12 with the accuracy of 99.76. The data used for training testing validation and prediction are data in Central Lombok NTB Indonesia.

  7. Anne Veesaar: Tartus tuli võõras naine mind kallistama : "Hea, et teie, Anne, elus olete!" / Aigi Viira

    Index Scriptorium Estoniae

    Viira, Aigi

    2006-01-01

    4. nov. Tartu-Tallinna maanteel Mõhkküla risti lähedal kokku põrganud Fordis ja Hyundais hukkus kolm inimest, nende seas Rakvere Teatri näitleja Dajan Ahmet. Õnnetuses said kannatada ka näitlejad Rednar Annus, Marika Korolev, Anne Veesaar ja Ksenia Agarkova. Näitleja Dan Põldroos juhtunust "Küünal on hinges..."

  8. Luksuslik ruum kõigile : vestlus arhitekt Anne Lacatoniga = Luxury space for everyone : interview with Anne Lacaton / intervjueerinud Katrin Paadam

    Index Scriptorium Estoniae

    Lacaton, Anne, 1955-

    2013-01-01

    Prantsuse arhitekt Anne Lacaton oma büroo (Lacaton & Vassal, Frédéric Druot, 2011) linnaehituslikult uuendusliku projekti järgi ümber ehitatud 1960. aastate korterelamust Tour du Bois-le-Prêtre Pariisis, sotsiaalelamute ehitusest Prantsusmaal, 1960.-1970. aastatel ehitatud elamute taaskasutusega seotud probleemidest, rekonstrueerimise kasulikkusest võrreldes elamu lammutamise ja uuesti ehitamisega, linnas elavatele inimestele paremate elamistingimuste loomisest, linnaplaneerimisest

  9. Doktoritööd : [2007, Anne Lange jt.

    Index Scriptorium Estoniae

    2007-01-01

    20. veebr. kaitseb Anne Lange doktoritööd "The poetics of translation of Ants Oras". 19. jaan. kaitses Tuuli Oder doktoritööd "The model of contemporary professional foreign language teacher". 16. jaan. kaitses Tiit Maran doktoritööd "Conservation biology of the European mink, Mustela lutreola (Linnaeus 1761): decline and causes of extinction". 12. jaan. kaitses Maris Saagpakk doktoritööd "Deutschbaltische Autobiographien als Dokumente des Zeit- und Selbstempfindens: vom Ende des 19. Jh. bis zur Umsiedlung 1939"

  10. The Sacred Object: Anne Carson and Simone Weil

    OpenAIRE

    Coles, Elizabeth

    2017-01-01

    Este artículo examina la relación entre la lectura crítica y el objeto crítico en la obra de la poeta y ensayista canadiense Anne Carson, principalmente los textos que surgen de su largo acercamiento a los escritos de la filósofa y mística cristiana Simone Weil. Mi lectura de Carson se centra en los deseos conflictuales de la relación crítica que se encuentran confesados y no confesados en su obra, y en las formas de intimidad que sus respuestas logran con la obra de Weil. Agudizadas por su e...

  11. The Indecisive Feminist: Study of Anne Sexton's Revisionist Fairy Tales

    Directory of Open Access Journals (Sweden)

    Nadia Fayidh Mohammed

    2015-02-01

    Full Text Available Fairy tales to female writers are major resource for their abundant writings, but for the feminist poets since 1960s, they become essential subject matter to often deal with in their literary production. With the motivation to address the conventional tradition of patriarchal society, and re-address the stereotype females inhabiting these tales, feminist writers set upon revealing the underlying sub-context of these tales, presenting them with more adult-suited themes. Anne Sexton's Transformation is a pioneering revision of Grimm's fairy tales in which the poet does not only satirize the patriarchal society she grew up in, but she also rejects the female stereotype that her upbringing intended her to be. In the following paper, the feminist messages which Sexton's fairy tales intended to deliver are examined to reveal the poet's position concerning feminism and her relationship with female role-models and the male figures she presents in her fairy tales. Keywords: Anne Sexton, feminism, fairy tales, revisionism, postmodernist poetry, Transformations

  12. IDI diesel engine performance and exhaust emission analysis using biodiesel with an artificial neural network (ANN)

    National Research Council Canada - National Science Library

    Prasada Rao, K; Victor Babu, T; Anuradha, G; Appa Rao, B.V

    ...) engine fueled with Rice Bran Methyl Ester (RBME) with Isopropanol additive. The investigation is done through a combination of experimental data analysis and artificial neural network (ANN) modeling...

  13. Anne-Sylvie Catherin, Head of the Human Resources Department

    CERN Multimedia

    2009-01-01

    Anne-Sylvie Catherin has been appointed Head of the Human Resources Department with effect from 1 August 2009. Mrs Catherin is a lawyer specialized in International Administration and joined CERN in 1996 as legal advisor within the Office of the HR Department Head. After having been promoted to the position of Group Leader responsible for social and statutory conditions in 2000, Mrs Catherin was appointed Deputy of the Head of the Human Resources Department and Group Leader responsible for Strategy, Management and Development from 2005 to date. Since 2005, she has also served as a member of CCP and TREF. In the execution of her mandate as Deputy HR Department Head, Mrs Catherin closely assisted the HR Department Head in the organization of the Department and in devising new HR policies and strategies. She played an instrumental role in the last five-yearly review and in the revision of the Staff Rules and Regulations.

  14. DESIGN OF A VISUAL INTERFACE FOR ANN BASED SYSTEMS

    Directory of Open Access Journals (Sweden)

    Ramazan BAYINDIR

    2008-01-01

    Full Text Available Artificial intelligence application methods have been used for control of many systems with parallel of technological development besides conventional control techniques. Increasing of artificial intelligence applications have required to education in this area. In this paper, computer based an artificial neural network (ANN software has been presented to learning and understanding of artificial neural networks. By means of the developed software, the training of the artificial neural network according to the inputs provided and a test action can be performed by changing the components such as iteration number, momentum factor, learning ratio, and efficiency function of the artificial neural networks. As a result of the study a visual education set has been obtained that can easily be adapted to the real time application.

  15. 2011 : Année internationale de la chimie

    OpenAIRE

    2011-01-01

    Lors de la 63e assemblée générale des Nations Unies, 2011 a été proclamée année internationale de la chimie. En France, les acteurs de la chimie sont mobilisés pour promouvoir quatre objectifs : mettre l’accent sur l’importance de la chimie pour un développement durable dans tous les aspects de la vie sur la planète ; accroître chez les jeunes l’intérêt pour la chimie ; susciter l’enthousiasme pour une chimie tournée vers l’avenir ; célébrer les travaux de Marie Curie et la contribution des f...

  16. The shape of a woman's life: Lady Anne Barnard's Memoir

    Directory of Open Access Journals (Sweden)

    M. Lenta

    1993-05-01

    Full Text Available In her old age, Lady Anne Barnard revised the diaries and letters which remained from her life in Scotland, London, and at the Cape. She shaped part of these records into a six-volume Memoir and since a man's memoir would concentrate attention on his public life and achievements, she cast it into a shape which recalls that of the female’ novel of the eighteenth century. She therefore presents her rejection of the lifestyle of her family, that of impoverished Scottish aristocrats, and her move to London, as a quest for a suitable marriage. This view of her life was not, however, entirely congenial to her: she had a strong sense of her achievements as an autonomous individual, rather than as the lesser partner in a marriage, and although the Memoir ends with her marriage, there is much evidence in it of her pride in having originated and achieved for herself a new lifestyle.

  17. ANN Modeling of a Chemical Humidity Sensing Mechanism

    Directory of Open Access Journals (Sweden)

    Souhil KOUDA

    2010-10-01

    Full Text Available This work aims to achieve a modeling of a resistive-type humidity sensing mechanism (RHSM. This model takes into account the parameters of non-linearity, hysteresis, temperature, frequency, substrate type. Furthermore, we investigated the TiO2 and PMAPTAC concentrations effects on the humidity sensing properties in our model. Using neuronal networks and Matlab environment, we have done the training to realize an analytical model ANN and create a component, accurately express the above parameters variations, for our sensing mechanism model in the PSPICE simulator library. Simulation has been used to evaluate the effect of variations of non-linearity, hysteresis, temperature, frequency, substrate type and TiO2 and PMAPTAC concentrations effects, where the output of this model is identical to the output of the chemical humidity sensing mechanism used.

  18. Anne Chapman y la etnografía mesoamericanista

    OpenAIRE

    Medina, Andrés

    2013-01-01

    Note portant sur l'auteur INTRODUCCIÓN La formación profesional de Anne Chapman como etnóloga se inicia en la Escuela Nacional de Antropología e Historia (enah) en los momentos mismos en que se sentaban las bases institucionales, teóricas y académicas de una tradición científica, que será llamada —tanto en sentido elogioso como peyorativo— la “Antropología Mexicana”, en lo que tiene mucho que ver su profunda articulación con el nacionalismo revolucionario, la ideología que domina el régimen p...

  19. Anne Tyler møder Shakespeare, og god litteratur opstår

    DEFF Research Database (Denmark)

    Davidsen-Nielsen, Niels

    2016-01-01

    Eftertanken. Amerikanske Anne Tyler er helt sin egen, en original og modig forfatter, der ikke viger tilbage fra at skrive opløftende litteratur.......Eftertanken. Amerikanske Anne Tyler er helt sin egen, en original og modig forfatter, der ikke viger tilbage fra at skrive opløftende litteratur....

  20. Flow forecast by SWAT model and ANN in Pracana basin, Portugal

    NARCIS (Netherlands)

    Demirel, M.C.; Venancio, Anabela; Kahya, Ercan

    2009-01-01

    This study provides a unique opportunity to analyze the issue of flow forecast based on the soil and water assessment tool (SWAT) and artificial neural network (ANN) models. In last two decades, the ANNs have been extensively applied to various water resources system problems. In this study, the

  1. Visual NNet: An Educational ANN's Simulation Environment Reusing Matlab Neural Networks Toolbox

    Science.gov (United States)

    Garcia-Roselló, Emilio; González-Dacosta, Jacinto; Lado, Maria J.; Méndez, Arturo J.; Garcia Pérez-Schofield, Baltasar; Ferrer, Fátima

    2011-01-01

    Artificial Neural Networks (ANN's) are nowadays a common subject in different curricula of graduate and postgraduate studies. Due to the complex algorithms involved and the dynamic nature of ANN's, simulation software has been commonly used to teach this subject. This software has usually been developed specifically for learning purposes, because…

  2. 75 FR 23745 - Jo-Ann Stores, Inc., Provisional Acceptance of a Settlement Agreement and Order

    Science.gov (United States)

    2010-05-04

    ... Robbie Ducky products at its retail stores nationwide during those periods for between $5 and $10 per... COMMISSION Jo-Ann Stores, Inc., Provisional Acceptance of a Settlement Agreement and Order AGENCY: Consumer... Agreement with Jo-Ann Stores, Inc., containing a civil penalty of $50,000.00. DATES: Any interested person...

  3. 76 FR 81991 - Tecumseh Products Corporation, Ann Arbor, MI; Notice of Termination of Investigation

    Science.gov (United States)

    2011-12-29

    ... Employment and Training Administration Tecumseh Products Corporation, Ann Arbor, MI; Notice of Termination of... Application for Reconsideration applicable to workers and former workers of Tecumseh Products Corporation, Ann... refrigerator compressors. The work who requested administrative reconsideration pursuant to 29 CFR 90.18 has...

  4. Anne Veesaar astus Valgas üles uudses rollis / Jaan Rapp

    Index Scriptorium Estoniae

    Rapp, Jaan

    2010-01-01

    2010. aasta iga kuu viimasel reedel esitab näitlejanna Anne Veesaar Raadio Ruudus katkendeid Valgamaa kirjanike loomingust. 14. jaanuaril kohtumisel lugejatega rääkis Valgas sündinud näitlejanna oma elulooraamatust "Anne Veesaar : elus, see on kõige tähtsam", mille on kirja pannud Helen Eelrand, ja oma praegustest tegemistest

  5. Tasuta õpivõimalused üle Eesti / Uudo Laane, Sirje Kuuseorg, Anne Tootmaa

    Index Scriptorium Estoniae

    Laane, Uudo

    2012-01-01

    Programmi "Täiskasvanute koolitus vabahariduslikes koolituskeskustes" rakendamisest räägivad Pärnu Rahvaülikooli juht Uudo Laane, Lasva Käsitööseltsi Maarahvaõpistu juhataja Sirje Kuuseorg ja MTÜ Saaremaa Kunstistuudio Erakunstikool Anne juhataja Anne Tootmaa

  6. Prediction of 305 d milk yield in Jersey Cattle Using ANN Modelling

    African Journals Online (AJOL)

    ozcan_eren

    Abstract. Artificial neural networks (ANNs) have been shown to be a powerful tool for system modelling in a wide range of .... neural networks have been applied to predict milk yield in dairy sheep (Salehi et al., 1988). Kominakis et al. ... It consists of the choice of ANN algorithm, the structure (number of layers and number of ...

  7. News from HR: a word from Anne-Sylvie Catherin

    CERN Multimedia

    2016-01-01

    Anne-Sylvie Catherin, head of HR Department, looks back over her years at CERN before taking up her new position at the European Central Bank.   At the end of July, I will be leaving CERN on a special leave of absence to take up a new position at the European Central Bank. This is a new chapter in my career, in a new context with its own challenges, and as I prepare for it, I would like to take a little time to look back over my years at CERN and share with you the enriching journey it has been, both for myself and for HR. It has always been my strong belief that any organisation’s greatest asset is its people. When an HR professional believes that, it’s only a short step to the conclusion that the best way to nurture those people is by adopting a professional approach to HR. In this respect, I arrived at a very fortuitous time. Enrico Chiaveri was head of HR and, although his background is in physics, we shared that same conviction. Enrico was the icebreaker in driving change, a...

  8. The Sacred Object: Anne Carson and Simone Weil

    Directory of Open Access Journals (Sweden)

    Elizabeth Coles

    2014-01-01

    Full Text Available Este artículo examina la relación entre la lectura crítica y el objeto crítico en laobra de la poeta y ensayista canadiense Anne Carson, principalmente los textosque surgen de su largo acercamiento a los escritos de la filósofa y mística cristiana Simone Weil. Mi lectura de Carson se centra en los deseos conflictuales de la relación crítica que se encuentran confesados y no confesados en su obra, y en las formas de intimidad que sus respuestas logran con la obra de Weil. Agudizadas por su encuentro con el pensamiento y la fe de Weil, las preguntasde Carson para la crítica ―sobre sus propios objetos y la resistencia de ellos ala interpretación, sobre la distinción entre crítica y literatura, y sobre la vanidadde la estética de la crítica misma― encuentran su articulación en varios génerosde la escritura: estudiando la complicidad de cada uno de estos con Weil, yla capacidad de cada uno a radicalizar sus cuestiones, llego a unas conclusionspropias para la crítica literaria.

  9. ANN & ANFIS Models for Prediction of Abrasive Wear of 3105 Aluminium Alloy with Polyurethane Coating

    Directory of Open Access Journals (Sweden)

    H. Alimam

    2016-06-01

    Full Text Available The quest for safety and reliability has increased significantly after Industrial revolution, so is the case for coating industries. In this paper 3105 Aluminium alloy sheet is coated with organic polyurethane coating. After the implementation of coating, various processes are undergone to check its reliability under elevated conditions. ANN & ANFIS model were developed and trained with an objective to find abrasive wear during the process. ANN & ANFIS model were compared with the experimental results. It is observed that the abrasive wear of a coated specimen can be predicted accurately and precisely using ANN and ANFIS models.

  10. Damage level prediction of non-reshaped berm breakwater using ANN, SVM and ANFIS models

    Digital Repository Service at National Institute of Oceanography (India)

    Mandal, S.; SubbaRao; Harish, N.; Lokesha

    Marine Structures Laboratory, Department of Applied Mechanics and Hydraulics, NITK, Surathkal, India. Soft computing techniques like Artificial Neural Network (ANN), Support Vector Machine (SVM) and Adaptive Neuro Fuzzy Inference system (ANFIS) models...

  11. Igal mõisal on oma lugu / Mari-Ann Remmel

    Index Scriptorium Estoniae

    Remmel, Mari-Ann

    2008-01-01

    Kirjastuselt "Tänapäev" ilmus raamat "Mõisalegendid. Harjumaa", koostaja Mari-Ann Remmel, kujundaja Angelika Schneider. Kogumik sisaldab ka ajaloolist ning genealoogilist teavet mõisahoonete ning -omanike kohta

  12. 2006 Maryland Department of Natural Resources Lidar: Caroline, Kent and Queen Anne Counties

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Maryland Department of Natural Resources requested the collection of LIDAR data over Kent, Queen Anne and Caroline Counties, MD. In response, EarthData acquired the...

  13. Thesis defence: Anneli Baran Possibilities for studying semantics in phraseology / Outi Lauhakangas

    Index Scriptorium Estoniae

    Lauhakangas, Outi

    2011-01-01

    15. märtsil 2011 kaitses Anneli Baran Tartu Ülikooli kultuuriteaduste ja kunstide instituudis doktoriväitekirja Fraseologismide semantika uurimisvõimalused, juhendaja Arvo Krikmann (Eesti Kirjandusmuuseum), oponent dr Outi Lauhakangas (Soome Kirjanduse Selts)

  14. Prediction of Splitting Tensile Strength of Concrete Containing Zeolite and Diatomite by ANN

    Directory of Open Access Journals (Sweden)

    E. Gülbandılar

    2017-01-01

    Full Text Available This study was designed to investigate with two different artificial neural network (ANN prediction model for the behavior of concrete containing zeolite and diatomite. For purpose of constructing this model, 7 different mixes with 63 specimens of the 28, 56 and 90 days splitting tensile strength experimental results of concrete containing zeolite, diatomite, both zeolite and diatomite used in training and testing for ANN systems was gathered from the tests. The data used in the ANN models are arranged in a format of seven input parameters that cover the age of samples, Portland cement, zeolite, diatomite, aggregate, water and hyper plasticizer and an output parameter which is splitting tensile strength of concrete. In the model, the training and testing results have shown that two different ANN systems have strong potential as a feasible tool for predicting 28, 56 and 90 days the splitting tensile strength of concrete containing zeolite and diatomite.

  15. Benthic Habitat Mapping - Dry Tortugas RoxAnn Acoustic Sensor Data Points

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — During April 2001 RoxAnn single-beam acoustic surveys were conducted at the North Unit of the Tortugas Ecological Reserve, Florida. Thirteen transects associated...

  16. Artificial Neural Networks (ANNs for flood forecasting at Dongola Station in the River Nile, Sudan

    Directory of Open Access Journals (Sweden)

    Sulafa Hag Elsafi

    2014-09-01

    Full Text Available Heavy seasonal rains cause the River Nile in Sudan to overflow and flood the surroundings areas. The floods destroy houses, crops, roads, and basic infrastructure, resulting in the displacement of people. This study aimed to forecast the River Nile flow at Dongola Station in Sudan using an Artificial Neural Network (ANN as a modeling tool and validated the accuracy of the model against actual flow. The ANN model was formulated to simulate flows at a certain location in the river reach, based on flow at upstream locations. Different procedures were applied to predict flooding by the ANN. Readings from stations along the Blue Nile, White Nile, Main Nile, and River Atbara between 1965 and 2003 were used to predict the likelihood of flooding at Dongola Station. The analysis indicated that the ANN provides a reliable means of detecting the flood hazard in the River Nile.

  17. Evaluation Of The Advanced Operating System Of The Ann Arbor Transportation Authority : AATA Web Survey

    Science.gov (United States)

    1999-01-01

    During 1997, visitors to the Ann Arbor (Michigan) Transportation Authority's worldwide web site were invited to complete an electronic questionnaire about their experience with the site. Eighty surveys were collected, representing a non-scientific se...

  18. Evaluation Of The Advanced Operating System Of The Ann Arbor Transportation Authority : Archives And Records

    Science.gov (United States)

    1999-01-01

    This study examines data regularly maintained by the AATA (Ann Arbor Transportation Authority) for evidence of AOS (Advanced Operating System) impact. These data include on-time performance, bus trips broken because of maintenance or other incidents,...

  19. Tallinna Ülikool / Leif Kalev, Anneli Leinpere, Tiit Land, Alessandro Centonze, Hannes Palang, Liis Kelberg

    Index Scriptorium Estoniae

    2008-01-01

    Ülikooli ja seal õpetatavaid erialasid tutvustavad dotsent Leif Kalev, kunstimagistrant Anneli Leinpere, professor Tiit Land, välisüliõpilane Milanost Alessandro Centonze, vanemteadur Hannes Palang ning kirjaliku tõlke magistrant Liis Kelberg

  20. Mart ja Mari-Ann Susi taotlevad omanikena Concordia pankrotti / Andri Maimets

    Index Scriptorium Estoniae

    Maimets, Andri, 1979-

    2003-01-01

    Concordia Ülikooli rektor Mart Susi esitas kohtule avalduse, milles taotleb ülikooli pidanud Concordia Varahalduse OÜ pankroti väljakuulutamist. Vt. samas: Mari-Ann Susi õigustas ülikooli raha kasutamist

  1. ANN-Based Control of a Wheeled Inverted Pendulum System Using an Extended DBD Learning Algorithm

    Directory of Open Access Journals (Sweden)

    David Cruz

    2016-05-01

    Full Text Available This paper presents a dynamic model for a self-balancing vehicle using the Euler-Lagrange approach. The design and deployment of an artificial neuronal network (ANN in a closed-loop control is described. The ANN is characterized by integration of the extended delta-bar-delta algorithm (DBD, which accelerates the adjustment of synaptic weights. The results of the control strategy in the dynamic model of the robot are also presented.

  2. Sodium Adsorption Ratio (SAR) Prediction of the Chalghazi River Using Artificial Neural Network (ANN) Iran

    OpenAIRE

    Gholamreza Asadollahfardi; Azadeh Hemati; Saber Moradinejad; Rashin Asadollahfardi

    2013-01-01

    Considering the significance of the Sodium Adsorption Ratio (SAR) for growing plants, its prediction is essential for water quality management for irrigation. The SAR prediction in Chelghazy River in Kurdistan, northwest of Iran, using an Artificial Neural Network (ANN) was studied. The study applied the Multilayer Perceptron (MLP) of the ANN to average monthly data, which was collected by the water authority of the Kurdistan province for the period of 1998-2009. The input parameters of the M...

  3. ANN-based wavelet analysis for predicting electrical signal from photovoltaic power supply system

    Energy Technology Data Exchange (ETDEWEB)

    Mellit, A. [Medea Univ., Medea (Algeria). Inst. of Science Engineering, Dept. of Electronics

    2007-07-01

    This study was conducted to predict different electrical signals from a photovoltaic power supply system (PVPS) using an artificial neural networks (ANN) with wavelet analysis. It involved the creation of a database of electrical signals (PV-generator current, voltage, battery current voltage, regulator current and voltage) obtained from an experimental PVPS system installed in the south of Algeria. The potential applications were for sizing and analyzing the performance of PVPS systems; control of maximum power point tracker (MPPT) in order to deliver the maximum energy from the PV-array; prediction of the optimal configuration (PV-array and battery sizing) of PVPS systems; expert configuration of PV-systems; faults diagnosis; supervision; and, control and monitoring. First, based on the wavelet analysis each electrical signal was mapped in several time frequency domains. The PV-system was then divided into 3-subsystems corresponding to ANN-PV generator model, ANN-battery model, and ANN-regulator model. An example of day-by-day prediction for each electrical signal was presented. The results of the proposed approach were in good agreement with experimental results. In addition, the accuracy of the proposed approach was more satisfactory when only ANN was used. It was concluded that this methodology offers the possibility of developing a new expert configuration of PVPS by implementing the soft computing ANN-wavelet program with a digital signal processing (DSP) circuit. 26 refs., 1 tab., 5 figs.

  4. The Anne Frank hiding place: A phase of the homosexual development

    Directory of Open Access Journals (Sweden)

    Federico Crisalidi

    2013-12-01

    Full Text Available The article describes the peculiar elements of the psychosexual development of homosexual: the few existing studies on the development of the homosexual identity have no developed what the authors consider the most distinctive element in gay adolescence, that is the “hide”.The study put in evidence the parallelism between the homosexual teenager and Anne Frank; in fact the gay teenager is forcing himself to hide in a “secret flat” that could be comparable to the one of Anne Frank during the holocaust. In the article a lot of parallelism between the psychological experience of Anne Frank and the homosexuals are shown. This takes care of the differences between the two experiences, in fact Anne Frank has been forced to hide while for homosexuals is a psychological experience.This auto-segregation in the secret flat foresee an evolutionary phase of the psychosexual development of a gay person. In the article links and connections of psychological experiences between Anne Frank and homosexual are showed. These experiences and connections allows to develop what the authors define “the Anne Frank phase”.

  5. Optimum coagulant forecasting by modeling jar test experiments using ANNs

    Directory of Open Access Journals (Sweden)

    S. Haghiri

    2018-01-01

    Full Text Available Currently, the proper utilization of water treatment plants and optimizing their use is of particular importance. Coagulation and flocculation in water treatment are the common ways through which the use of coagulants leads to instability of particles and the formation of larger and heavier particles, resulting in improvement of sedimentation and filtration processes. Determination of the optimum dose of such a coagulant is of particular significance. A high dose, in addition to adding costs, can cause the sediment to remain in the filtrate, a dangerous condition according to the standards, while a sub-adequate dose of coagulants can result in the reducing the required quality and acceptable performance of the coagulation process. Although jar tests are used for testing coagulants, such experiments face many constraints with respect to evaluating the results produced by sudden changes in input water because of their significant costs, long time requirements, and complex relationships among the many factors (turbidity, temperature, pH, alkalinity, etc. that can influence the efficiency of coagulant and test results. Modeling can be used to overcome these limitations; in this research study, an artificial neural network (ANN multi-layer perceptron (MLP with one hidden layer has been used for modeling the jar test to determine the dosage level of used coagulant in water treatment processes. The data contained in this research have been obtained from the drinking water treatment plant located in Ardabil province in Iran. To evaluate the performance of the model, the mean squared error (MSE and correlation coefficient (R2 parameters have been used. The obtained values are within an acceptable range that demonstrates the high accuracy of the models with respect to the estimation of water-quality characteristics and the optimal dosages of coagulants; so using these models will allow operators to not only reduce costs and time taken to perform

  6. Departure from Washington / Jüri Luik

    Index Scriptorium Estoniae

    Luik, Jüri, 1966-

    2008-01-01

    Ülevaade Eesti-USA suhetest ja rahvusvahelisest olukorrast aastatel 2003-2007. Artikli autor oli aastatel 2003-2007 Eesti Vabariigi suursaadik Ameerika Ühendriikides. Juttu on ka president Toomas Hendrik Ilvese visiidist Valgesse Majja ja kohtumisest USA presidendi George W. Bushiga 2007. a. juunis

  7. Tööturg paindlikumaks / Lauri Luik

    Index Scriptorium Estoniae

    Luik, Lauri, 1982-

    2008-01-01

    Töölepinguseaduse eelnõust. Ilmunud ka Järva Teataja 24. mai 2008, lk. 2 ; Koit 24. mai 2008, lk. 6 ; Vooremaa 22. mai 2008, lk. 2 ; Lääne Elu 29. mai 2008, lk. 2 ; Pärnu Postimees 4. juuni 2008, lk. 15

  8. Ai kui vahva idabisnis! / Hans H. Luik

    Index Scriptorium Estoniae

    Luik, Hans H., 1961-

    2006-01-01

    Ilmunud ka: Infopress 25. aug. nr. 34 lk. 155. Seoses Pakterminali käibelanguse põhjuste ja väiksemate Vene-suunaliste ebaõnnestumistega meenutab autor sõjaeelse Eesti Vabariigi äri bolshevike röövitud Tsaari-Venemaa kullaga

  9. Avastamas Lõuna-Tuneesiat / Riina Luik

    Index Scriptorium Estoniae

    Luik, Riina, 1962-

    2013-01-01

    Reisikiri Lõuna-Tuneesiast: Sahaara kõrb, Djerba saare ajalugu, saarel tugipunkti leidnud kreeka-türgi päritolu piraatidest - vendadest Barbarossadest, kellest vanima tegelik nimi oli Oruç Reis, juudi deasporaast saarel, vaatamisväärsused

  10. Prediction of solar radiation for solar systems by using ANN models with different back propagation algorithms

    Directory of Open Access Journals (Sweden)

    Neelamegam Premalatha

    2016-06-01

    Full Text Available Global solar radiation (GSR is an essential parameter for the design and operation of solar energy systems. Long-standing records of global solar radiation data are not available in many places because of the cost and maintenance of the measuring instruments. The major objective of this work is to develop an ANN model for accurately predicting solar radiation. Two ANN models with four different algorithms are considered in the present study. Meteorological data collected for the last 10 years from five different locations across India have been used to train the models. The best ANN algorithm and model are identified based on minimum mean absolute error (MAE and root mean square error (RMSE and maximum linear correlation coefficient (R. Further, the present study confirms that prediction accuracy of the ANN model depends on the complete set of data being used for training the network for the intended application. The developed ANN model has a low mean absolute percentage error (MAPE which ascertains the accuracy and suitability of the model to predict the monthly average global radiation so as to design or evaluate solar energy installations, where the meteorological data measuring facilities are not in place in India.

  11. Identification of drought in Dhalai river watershed using MCDM and ANN models

    Science.gov (United States)

    Aher, Sainath; Shinde, Sambhaji; Guha, Shantamoy; Majumder, Mrinmoy

    2017-03-01

    An innovative approach for drought identification is developed using Multi-Criteria Decision Making (MCDM) and Artificial Neural Network (ANN) models from surveyed drought parameter data around the Dhalai river watershed in Tripura hinterlands, India. Total eight drought parameters, i.e., precipitation, soil moisture, evapotranspiration, vegetation canopy, cropping pattern, temperature, cultivated land, and groundwater level were obtained from expert, literature and cultivator survey. Then, the Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) were used for weighting of parameters and Drought Index Identification (DII). Field data of weighted parameters in the meso scale Dhalai River watershed were collected and used to train the ANN model. The developed ANN model was used in the same watershed for identification of drought. Results indicate that the Limited-Memory Quasi-Newton algorithm was better than the commonly used training method. Results obtained from the ANN model shows the drought index developed from the study area ranges from 0.32 to 0.72. Overall analysis revealed that, with appropriate training, the ANN model can be used in the areas where the model is calibrated, or other areas where the range of input parameters is similar to the calibrated region for drought identification.

  12. Using ANN and EPR models to predict carbon monoxide concentrations in urban area of Tabriz

    Directory of Open Access Journals (Sweden)

    Mohammad Shakerkhatibi

    2015-09-01

    Full Text Available Background: Forecasting of air pollutants has become a popular topic of environmental research today. For this purpose, the artificial neural network (AAN technique is widely used as a reliable method for forecasting air pollutants in urban areas. On the other hand, the evolutionary polynomial regression (EPR model has recently been used as a forecasting tool in some environmental issues. In this research, we compared the ability of these models to forecast carbon monoxide (CO concentrations in the urban area of Tabriz city. Methods: The dataset of CO concentrations measured at the fixed stations operated by the East Azerbaijan Environmental Office along with meteorological data obtained from the East Azerbaijan Meteorological Bureau from March 2007 to March 2013, were used as input for the ANN and EPR models. Results: Based on the results, the performance of ANN is more reliable in comparison with EPR. Using the ANN model, the correlation coefficient values at all monitoring stations were calculated above 0.85. Conversely, the R2 values for these stations were obtained <0.41 using the EPR model. Conclusion: The EPR model could not overcome the nonlinearities of input data. However, the ANN model displayed more accurate results compared to the EPR. Hence, the ANN models are robust tools for predicting air pollutant concentrations.

  13. Kultuurivedur 2008 Anne Rande : lapsed ja lugemine, see ei ole mingi tilu-lilu / Rebekka Lotman ; kommenteerinud Evelin Ilves

    Index Scriptorium Estoniae

    Lotman, Rebekka, 1978-

    2009-01-01

    Ajalehe "Postimees" kultuuritoimetus pidas 2008. aasta Kultuuriveduri auhinna vääriliseks Eesti Lastekirjanduse Keskuse direktorit Anne Randet, kes räägib, miks ja kuidas viia lapsi lugemise juurde. President Toomas Hendrik Ilves on Anne Randet kui lastekirjanduse väärtustajat autasustanud Valgetähe V klassi teenetemärgiga. Kommenteerib Eesti Lastekirjanduse Keskuse patroon proua Evelin Ilves. Juuresoleval fotol Anne Rande koos Kadri Keiu Ilvesega

  14. Mapping brain circuits of reward and motivation: in the footsteps of Ann Kelley.

    Science.gov (United States)

    Richard, Jocelyn M; Castro, Daniel C; Difeliceantonio, Alexandra G; Robinson, Mike J F; Berridge, Kent C

    2013-11-01

    Ann Kelley was a scientific pioneer in reward neuroscience. Her many notable discoveries included demonstrations of accumbens/striatal circuitry roles in eating behavior and in food reward, explorations of limbic interactions with hypothalamic regulatory circuits, and additional interactions of motivation circuits with learning functions. Ann Kelley's accomplishments inspired other researchers to follow in her footsteps, including our own laboratory group. Here we describe results from several lines of our research that sprang in part from earlier findings by Kelley and colleagues. We describe hedonic hotspots for generating intense pleasure 'liking', separate identities of 'wanting' versus 'liking' systems, a novel role for dorsal neostriatum in generating motivation to eat, a limbic keyboard mechanism in nucleus accumbens for generating intense desire versus intense dread, and dynamic limbic transformations of learned memories into motivation. We describe how origins for each of these themes can be traced to fundamental contributions by Ann Kelley. Copyright © 2013 Elsevier Ltd. All rights reserved.

  15. Artificial neural network (ANN) approach for modeling Zn(II) adsorption in batch process

    Energy Technology Data Exchange (ETDEWEB)

    Yildiz, Sayiter [Engineering Faculty, Cumhuriyet University, Sivas (Turkmenistan)

    2017-09-15

    Artificial neural networks (ANN) were applied to predict adsorption efficiency of peanut shells for the removal of Zn(II) ions from aqueous solutions. Effects of initial pH, Zn(II) concentrations, temperature, contact duration and adsorbent dosage were determined in batch experiments. The sorption capacities of the sorbents were predicted with the aid of equilibrium and kinetic models. The Zn(II) ions adsorption onto peanut shell was better defined by the pseudo-second-order kinetic model, for both initial pH, and temperature. The highest R{sup 2} value in isotherm studies was obtained from Freundlich isotherm for the inlet concentration and from Temkin isotherm for the sorbent amount. The high R{sup 2} values prove that modeling the adsorption process with ANN is a satisfactory approach. The experimental results and the predicted results by the model with the ANN were found to be highly compatible with each other.

  16. Parameters estimation of squirrel-cage induction motors using ANN and ANFIS

    Directory of Open Access Journals (Sweden)

    Mehdi Ahmadi Jirdehi

    2016-03-01

    Full Text Available In the transient behavior analysis of a squirrel-cage induction motor, the parameters of the single-cage and double-cage models are studied. These parameters are usually hard to obtain. This paper presents two new methods to predict the induction motor parameters in the single-cage and double-cage models based on artificial neural network (ANN and adaptive neuro-fuzzy inference system (ANFIS. For this purpose, the experimental data (manufacturer data of 20 induction motors with the different power are used. The experimental data are including of the starting torque and current, maximum torque, full load sleep, efficiency, rated active power and reactive power. The obtained results from the proposed ANN and ANFIS models are compared with each other and with the experimental data, which show a good agreement between the predicted values and the experimental data. But the proposed ANFIS model is more accurate than the proposed ANN model.

  17. A page is turned with the departure of Anne-Sylvie Catherin

    CERN Multimedia

    Staff Association

    2016-01-01

    The Staff Association wants to thank Anne Sylvie Catherin for her achievements during her career at CERN, and in particular during her mandate of head of the Human Resources Department. Anne-Sylvie Catherin arrived at CERN as a lawyer specialized in labor law of International Organizations, and she brought along her knowledge, as well as an unparalleled energy and professionalism. The Staff Association has particularly appreciated her collaborative approach during discussions in the concertation process. This attitude has clearly contributed to the implementation of significant change in the management of human resources, while preserving social peace. We expect that the person who will succeed Anne-Sylvie Catherin will have the same constructive attitude, in respect of the concertation process, as well as a continuity in the definition and implementation of HR processes. Finally, we hope that the new head of HR will be able to develop a long-term vision for the Organization and its staff, measuring to the vi...

  18. Damage level prediction of non-reshaped berm breakwater using ANN, SVM and ANFIS models

    Directory of Open Access Journals (Sweden)

    Sukomal Mandal

    2012-06-01

    Full Text Available The damage analysis of coastal structure is very important as it involves many design parameters to be considered for the better and safe design of structure. In the present study experimental data for non-reshaped berm breakwater are collected from Marine Structures Laboratory, Department of Applied Mechanics and Hydraulics, NITK, Surathkal, India. Soft computing techniques like Artificial Neural Network (ANN, Support Vector Machine (SVM and Adaptive Neuro Fuzzy Inference system (ANFIS models are constructed using experimental data sets to predict the damage level of non-reshaped berm breakwater. The experimental data are used to train ANN, SVM and ANFIS models and results are determined in terms of statistical measures like mean square error, root mean square error, correlation coefficient and scatter index. The result shows that soft computing techniques i.e., ANN, SVM and ANFIS can be efficient tools in predicting damage levels of non reshaped berm breakwater.

  19. RSM and ANN Modeling of Micro Wire Electrical Discharge Machining of AL 2024 T351

    Directory of Open Access Journals (Sweden)

    Sivaprakasam Palani

    2015-01-01

    Full Text Available This paper presents modeling and analysis of machining characteristics of Micro Wire Electro Discharge Machining (Micro-WEDM process on Aluminium alloy (AL 2024 T351 using the Response Surface Methodology (RSM and Artificial Neural Network (ANN. The input variables of Micro-WEDM process were voltage, capacitance and feed rate. The surface roughness and material removal rate are considered as a response variables. Experiments were carried out on Aluminium alloy using Central Composite Design (CCD. The RSM and ANN models have been developed based on experimental designs. Analysis of variance (ANOVA has been employed to test the significance of RSM model. It has been found out that all the three process parameters are significant and their interaction effects are also significant on the surface roughness and material removal rate. Finally predicted values were compared with ANN.

  20. Analysis of RF MEMS Capacitive Switches by Using Switch EM ANN Models

    Directory of Open Access Journals (Sweden)

    Z. Marinković

    2015-11-01

    Full Text Available Artificial neural networks (ANNs have appeared to be an alternative to the conventional models of RF MEMS switches. In this paper, neural models of an RF MEMS capacitive switch are developed and used for the electrical design of the switch. Namely, an ANN model relating the switch resonant frequency and the bridge dimensions is used to analyze efficiently the switch behavior with changes of bridge dimensions. Furthermore, it is illustrated how the developed model can be used for the determination of bridge dimensions in order to achieve the desired switch resonant frequency. In addition, application of a switch inverse ANN model for the determination of bridge dimensions is analyzed as well.

  1. SIMULATION AND IMPLEMENTATION OF PID-ANN CONTROLLER FOR CHOPPER FED EMBEDDED PMDC MOTOR

    Directory of Open Access Journals (Sweden)

    M. Madheswaran

    2012-04-01

    Full Text Available The closed loop control of PMDC drive with an inner current controller and an outer PID-ANN (Proportional Integral Derivative – Artificial Neural Network based speed controller is designed and presented in this paper. Motor is fed by DC / DC buck converter (DC Chopper. The controller is used to change the duty cycle of the converter and thereby, the voltage fed to the PMDC motor to regulate the speed. The PID-ANN controller designed was evaluated by computer simulation and it was implemented using an 8051 based embedded system. This system will operate in forward motoring with variable speed.

  2. Effectiveness of ANN for seismic behaviour prediction considering geometric configuration effect in concrete gravity dams

    Directory of Open Access Journals (Sweden)

    Mohd. Saqib

    2016-09-01

    Full Text Available In this study, an Artificial Neural Networks (ANN model is built and verified for quick estimation of the structural parameter obtained for a concrete gravity dam section due to seismic excitation. The database of numerous inputs and outputs obtained through Abaqus which are further converted into dimensionless forms in the statistical software (MATLAB to build the ANN model. The developed model can be used for accurate estimation of this parameter. The results showed an excellent capability of the model to predict the outputs with high accuracy and reduced computational time.

  3. Okul Öncesi Dönem: Anne Baba Tutumları

    Directory of Open Access Journals (Sweden)

    Ramazan SAK

    2015-10-01

    Full Text Available Bu çalışmanın amacı 4-6 yaş aralığında çocuğu olan anne babaların ebeveynlik tutumlarını incelemektir. Çalışmada açıklayıcı karma yöntem kullanılmış; bu nedenle de ilk olarak nicel veriler toplanmış, ardından nicel verilerin açıklanması için nitel veriler toplanmıştır. Veri toplama sürecinde öncelikle 258 anne-babaya Ebeveyn Tutum Ölçeği (ETÖ  uygulanmış, sonrasında ise bu anne-babalardan 20’si ile görüşmeler yapılmıştır. Nicel verilerin analizinde bağımsız örneklemler için t testi ve tek faktörlü ANOVA kullanılmıştır. Nitel veriler ise kelime listeleme tekniği kullanılarak kodlanmıştır. Çalışma sonucunda, anne-babaların cinsiyetlerine, yaşadıkları bölgeye, öğrenim durumlarına, yaşlarına, evlendikleri yaşa ve sahip oldukları çocuk sayısına göre ebeveynlik tutumları arasında anlamlı farklar bulunmuştur. Çalışmanın sonuçlarına göre, anne-babaların çoğunun, kendi anne-babalık tutumu hakkında bir farkındalık sahibi olduğu ve sahip oldukları tutumları açıklarken alan yazına paralel ifadeler kullandıkları belirlenmiştir. Ayrıca, anne-babalar sahip oldukları anne-babalık tutumlarını etkileyen faktörler olarak en çok yetiştirilme tarzlarını ve psikolojik durumlarını ifade etmişlerdir.

  4. QSAR analysis of the toxicity of phenols and thiophenols using MLR and ANN

    Directory of Open Access Journals (Sweden)

    Mounir Ghamali

    2017-01-01

    This study shows that the results obtained by MLR were suitable and have served to predict toxicity, but compared to the results of the ANN model, we conclude that the prediction achieved by the latter is more effective and better than MLR model. The statistical results of the predictive performance indicate that the ANN model is statistically significant than the previous reported model based on CART-LS-SVR. Following to the obtained results, our proposed model may be useful to predict of toxicity and risk assessment of chemicals.

  5. ESTIMASI HUBUNGAN KUANTITATIF STRUKTUR-AKTIVITAS (HKSA MENGGUNAKAN ARTIFICIAL NEURAL NETWORKS (ANN

    Directory of Open Access Journals (Sweden)

    Supriyanto

    2009-05-01

    Full Text Available The Quantitative structure-Activity Relationship (QSAR study has been performed on pattern of structure-molecule relationship. Artificial Neural Network (ANN model used to estimate pattern of enzyme activity structure-molecule and atomic location in three-dimension for compound of flavonoid as the predictors. Value of determination coefficient used to compare between actual value and value of estimating by ANN models based on enzyme’s wavelength, so resulting cross validating is obtained. We use Quasy-Newton algorithm with Broyden-Fletcher-Goldfarb-Shanno (BFGS procedure.

  6. Cotton AnnGh3 encoding an annexin protein is preferentially expressed in fibers and promotes initiation and elongation of leaf trichomes in transgenic Arabidopsis.

    Science.gov (United States)

    Li, Bing; Li, Deng-Di; Zhang, Jie; Xia, Hui; Wang, Xiu-Lan; Li, Ying; Li, Xue-Bao

    2013-10-01

    The annexins are a multifamily of calcium-regulated phospholipid-binding proteins. To investigate the roles of annexins in fiber development, four genes encoding putative annexin proteins were isolated from cotton (Gossypium hirsutum) and designated AnnGh3, AnnGh4, AnnGh5, and AnnGh6. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) results indicated that AnnGh3, AnnGh4, and AnnGh5 were preferentially expressed in fibers, while the transcripts of AnnGh6 were predominantly accumulated in roots. During fiber development, the transcripts of AnnGh3/4/5 genes were mainly accumulated in rapidly elongating fibers. With fiber cells further developed, their expression activity was dramatically declined to a relatively low level. In situ hybridization results indicated that AnnGh3 and AnnGh5 were expressed in initiating fiber cells (0-2 DPA). Additionally, their expression in fibers was also regulated by phytohormones and [Ca(2+)]. Subcellular localization analysis discovered that AnnGh3 protein was localized in the cytoplasm. Overexpression of AnnGh3 in Arabidopsis resulted in a significant increase in trichome density and length on leaves of the transgenic plants, suggesting that AnnGh3 may be involved in fiber cell initiation and elongation of cotton. © 2013 Institute of Botany, Chinese Academy of Sciences.

  7. PAPERS OF THE ARABIC TEACHERS' WORKSHOP (ANN ARBOR, JUNE 8-18, 1965).

    Science.gov (United States)

    Center for Applied Linguistics, Washington, DC.

    THIS REPORT IS BASED ON PAPERS GIVEN AT THE ARABIC TEACHERS' WORKSHOP HELD IN ANN ARBOR, MICHIGAN, JUNE 8-18, 1965. THE REPORT IS DIVIDED INTO THREE PARTS--(1) METHODS OF TEACHING MODERN STANDARD ARABIC, (2) CONTENT OF ELEMENTARY ARABIC INSTRUCTION, (3) SELECTIVE LIST OF INSTRUCTIONAL MATERIALS FOR MODERN STANDARD ARABIC. THE SPECIAL PROBLEMS OF…

  8. Practitioner Profile: An Interview with Anne Brennan Malec, Ph.D.

    Directory of Open Access Journals (Sweden)

    Anne Brennan Malec

    2015-12-01

    Full Text Available Dr. Anne Brennan Malec is the founder and managing partner of Symmetry Counseling, a counseling, coaching, and psychotherapy group practice located in downtown Chicago. She has been the driving force behind Symmetry Counseling’s success – what started in 2011 with six offices and five counselors now houses over 25 clinicians.

  9. ANN reconstruction of geoelectrical parameters of the Minou fault zone by scalar CSAMT data

    Science.gov (United States)

    Spichak, V.; Fukuoka, K.; Kobayashi, T.; Mogi, T.; Popova, I.; Shima, H.

    2002-01-01

    Scalar controlled source AMT data collected in a northern part of the Minou fault area (Kyushu Island, Japan) are interpreted by means of the ANN Expert System MT-NET in terms of 3-D earth macro-parameters. A number of synthetic responses created in advance by means of forward modeling in typical 3-D geoelectrical models (conductive and resistive local bodies, fault, dyke, etc.) formed sequences for teaching an artificial neural network (ANN). MT-NET, once taught to the correspondence between the data images and the model parameters, is able to recognize unknown parameters given even incomplete and noisy data. The results of ANN reconstruction are compared with the resistivity distribution obtained for the same area using fast 3-D imaging based on synthesis of 1-D Bostick transforms of the apparent resistivities beneath each site as well as on 2-D TM mode inversion along four profiles. The best-fitting model reconstructed by ANN belongs to the guessed model class formed by "dykes buried in the two-layered earth", on the one hand, and to the equivalence class formed by all models giving rms misfit less than the noise level in the data, on the other hand.

  10. 78 FR 65376 - Notice of Inventory Completion: University of Michigan, Ann Arbor, MI

    Science.gov (United States)

    2013-10-31

    ... Potawatomi Nation, Oklahoma; Fond du Lac Band of the Minnesota Chippewa Tribe, Minnesota; Forest County... tooth, 2 stone abraders, 1 mussel shell, 23 ceramic sherds, 1 groundstone pendant, and 1 argillite disc... activities in a subdivision of Ann Arbor, MI. The remains of a middle- aged female were found inside a stone...

  11. A comparative study of ANN and neuro-fuzzy for the prediction of ...

    Indian Academy of Sciences (India)

    Istanbul Technical University, Faculty of Civil Engineering, Hydraulics and Water. Resources Division, Maslak 34469, Istanbul, Turkey. Singh et al (2005) examined the potential of the ANN and neuro-fuzzy systems application for the prediction of dynamic constant of rockmass. However, the model proposed by them has ...

  12. 78 FR 65366 - Notice of Inventory Completion: University of Michigan, Ann Arbor, MI

    Science.gov (United States)

    2013-10-31

    ... Act (NAGPRA), 25 U.S.C. 3003, of the completion of an inventory of human remains under the control of... National Park Service Notice of Inventory Completion: University of Michigan, Ann Arbor, MI AGENCY... inventory of human remains, in consultation with the appropriate Indian tribes or Native Hawaiian...

  13. 78 FR 65369 - Notice of Inventory Completion: University of Michigan, Ann Arbor, MI

    Science.gov (United States)

    2013-10-31

    ... Act (NAGPRA), 25 U.S.C. 3003, of the completion of an inventory of human remains under the control of... National Park Service Notice of Inventory Completion: University of Michigan, Ann Arbor, MI AGENCY... inventory of human remains, in consultation with the appropriate Indian tribes or Native Hawaiian...

  14. 78 FR 65382 - Notice of Inventory Completion: University of Michigan, Ann Arbor, MI

    Science.gov (United States)

    2013-10-31

    ... Act (NAGPRA), 25 U.S.C. 3003, of the completion of an inventory of human remains under the control of... National Park Service Notice of Inventory Completion: University of Michigan, Ann Arbor, MI AGENCY... inventory of human remains, in consultation with the appropriate Indian tribes or Native Hawaiian...

  15. Development and Testing of an ANN Model for Estimation of Runoff from a Snow Covered Catchment

    Science.gov (United States)

    Bhadra, A.; Bandyopadhyay, A.; Chakraborty, S.; Roy, S.; Kumar, T.

    2017-06-01

    In this study, an attempt has been made to develop an ANN model to estimate runoff from a snow covered catchment of eastern Himalaya using feed-forward back-propagation algorithm with Levenberg-Marquardt optimization technique. The ANN model was programmed in C++ whereas a user-friendly GUI was developed in VB. The effects of past days rainfall and present day temperature data was observed on the performance of the selected ANN architecture in modelling snowmelt and monsoon season runoff. For this purpose, 8 years' (2003-2010) daily data (rainfall, temperature, and discharge) were collected from CWC which were again divided into two parts (2003-2008 and 2009-2010) for training and testing of the ANN model, respectively. Initially it was found that the network can produce acceptable results with only rainfall data as input, but it needs at least past 3 days rainfall data to account for the antecedent moisture condition of the catchment. Networks 4-16-16-1 (with past 3 days rainfall) and 6-18-18-18-1 (with past 5 days rainfall) resulted modelling efficiency of 79.38 and 82.06% in training and 55.13 and 61.06% in validation, respectively. However, addition of present day temperature data as another input improved the performance in both training (ME 83.10 and 82.22%) and testing (ME 62.64 and 61.89%) marginally.

  16. Beginning and ending of Anne Hebert's 'Burden of Dreams' : Polysemy of a journey of identity

    NARCIS (Netherlands)

    Lintvelt, Jaap

    2007-01-01

    The protagonist of Anne Hebert's Burden of Dreams (1992) goes on a journey from Quebec to Paris that contributes to the evolution of his personal and cultural identity The novel's title already tells us that "dreams" will play. a key role both on a thematic level and in shaping the reading protocol.

  17. Joseph Campbell, Jung, Anne Tyler, and "The Cards": The Spiritual Journey in "Searching for Caleb."

    Science.gov (United States)

    Thomson, Karen M.

    Joseph Campbell, Carl Jung, and Anne Tyler have all dealt with spiritual journeys and card reading in their writings. In his book "Tarot Revelations," Joseph Campbell discusses his first association with tarot cards, dating from 1943, when he was introduced to the symoblism of playing cards by his friend and mentor, Heinrich Zimmer. Carl…

  18. A call for water-efficient technologies (an interview with dr. Anne Elings)

    NARCIS (Netherlands)

    Elings, A.

    2012-01-01

    During the recent International Flower Trade Expo in Nairobi, Wageningen UR Greenhouse Horticulture project leader and greenhouse horticulture specialist Anne Elings pointed out that Kenya is not a water scarce country but management of the same is wanting. HortiNews had a chat with him.

  19. Re-vision as Remediation : Hypermediacy and Translation in Anne Carson’s Nox

    NARCIS (Netherlands)

    Brillenburg Wurth, C.A.W.|info:eu-repo/dai/nl/167989685

    2013-01-01

    This article explores Anne Carson’s Nox (2010) in the light of remediation. Nox is a book about death and the recording of loss: lost time, a lost brother, and lost presence. It conveys this loss through the logic of hypermediacy and a word-for-word translation of Catullus 101. Nox reworks the

  20. Mapping a Self, Mapping Absence in Sally-Ann Murray's Small ...

    African Journals Online (AJOL)

    The essay analyses the figurative mapping in Sally-Ann Murray's first novel, Small Moving Parts (2009), which is a coming-of-age novel about the young Halley Murphy who grows up in the suburb of Umbilo in Durban in the 1960s. The essay begins by analysing the narrative topography of Durban in the 1960s in terms of J.

  1. The Nation behind the Diary: Anne Frank and the Holocaust of the Dutch Jews

    Science.gov (United States)

    Foray, Jennifer L.

    2011-01-01

    Since its first appearance in 1947, "The Diary of Anne Frank" has been translated into sixty-five different languages, including Welsh, Esperanto, and Faroese. Millions and perhaps even billions of readers, scattered throughout the globe and now spanning multiple generations, are familiar with the life and work of this young Jewish…

  2. Exploring Social Studies through Multicultural Literature: "Legend of the St Ann's Flood"

    Science.gov (United States)

    Fry, Sara Winstead

    2009-01-01

    The search for literature that is of high quality and interest, is written at age-appropriate levels for adolescent readers, addresses social studies topics, and presents multicultural perspectives can be daunting. "Legend of the St Ann's Flood" is a fiction trade book that meets all of these criteria. Its setting in Trinidad and Tobago…

  3. 78 FR 65375 - Notice of Inventory Completion: University of Michigan, Ann Arbor, MI

    Science.gov (United States)

    2013-10-31

    ... National Park Service Notice of Inventory Completion: University of Michigan, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The University of Michigan has completed an... inventory of human remains and associated funerary objects under the control of the University of Michigan...

  4. 78 FR 65360 - Notice of Inventory Completion: University of Michigan, Ann Arbor, MI

    Science.gov (United States)

    2013-10-31

    ... National Park Service Notice of Inventory Completion: University of Michigan, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The University of Michigan has completed an inventory of human remains and associated funerary objects, in consultation with the appropriate Indian...

  5. 77 FR 34991 - Notice of Inventory Completion: Museum of Anthropology, University of Michigan, Ann Arbor, MI...

    Science.gov (United States)

    2012-06-12

    ... National Park Service Notice of Inventory Completion: Museum of Anthropology, University of Michigan, Ann....S.C. 3003, of the completion of an inventory of human remains in the possession of the University of... minimum number of individuals in the Notice of Inventory Completion published in the Federal Register (74...

  6. Uudised : Indi-sahinad. Anne Erm ja Eero Raun on heliloojad. Imelaste lemmik on heavy metal

    Index Scriptorium Estoniae

    2007-01-01

    Ameerika laulja Kimya Dawson 7. juulil Kilingi-Nõmmel minifestivalil "Schilling". Pianist Martti Raide esitab festivali Eesti muusika päevad 2007 suurkontserdil 16. aprillil Eero Rauna klaveripala "Tritonata", üllatusheliloojaks on ka "Jazzkaare" produtsent Anne Erm. Inglismaal Noorte Talentide Rahvuslikus Akadeemias tehtud uuringust

  7. Prediction of IRI in short and long terms for flexible pavements: ANN and GMDH methods

    NARCIS (Netherlands)

    Ziari, H.; Sobhani, J.; Ayoubinejad, J.; Hartmann, Timo

    2015-01-01

    Prediction of pavement condition is one of the most important issues in pavement management systems. In this paper, capabilities of artificial neural networks (ANNs) and group method of data handling (GMDH) methods in predicting flexible pavement conditions were analysed in three levels: in 1 year,

  8. Artificial neural network (ANN)-based prediction of depth filter loading capacity for filter sizing.

    Science.gov (United States)

    Agarwal, Harshit; Rathore, Anurag S; Hadpe, Sandeep Ramesh; Alva, Solomon J

    2016-11-01

    This article presents an application of artificial neural network (ANN) modelling towards prediction of depth filter loading capacity for clarification of a monoclonal antibody (mAb) product during commercial manufacturing. The effect of operating parameters on filter loading capacity was evaluated based on the analysis of change in the differential pressure (DP) as a function of time. The proposed ANN model uses inlet stream properties (feed turbidity, feed cell count, feed cell viability), flux, and time to predict the corresponding DP. The ANN contained a single output layer with ten neurons in hidden layer and employed a sigmoidal activation function. This network was trained with 174 training points, 37 validation points, and 37 test points. Further, a pressure cut-off of 1.1 bar was used for sizing the filter area required under each operating condition. The modelling results showed that there was excellent agreement between the predicted and experimental data with a regression coefficient (R2 ) of 0.98. The developed ANN model was used for performing variable depth filter sizing for different clarification lots. Monte-Carlo simulation was performed to estimate the cost savings by using different filter areas for different clarification lots rather than using the same filter area. A 10% saving in cost of goods was obtained for this operation. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:1436-1443, 2016. © 2016 American Institute of Chemical Engineers.

  9. English for Specific Purposes: The State of the Art (An Online Interview with Ann M. Johns)

    Science.gov (United States)

    Johns, Ann M.; Salmani Nodoushan, M. A.

    2015-01-01

    This forum paper is based on a friendly and informative interview conducted with Professor Ann M. Johns. In providing answers to the interview questions, Professor Johns suggests that all good teaching is ESP, and also distinguishes between EOP and ESP in that the former entails much more "just in time" learning while the latter may be…

  10. Assessment of spatial distribution of soil heavy metals using ANN-GA, MSLR and satellite imagery.

    Science.gov (United States)

    Naderi, Arman; Delavar, Mohammad Amir; Kaboudin, Babak; Askari, Mohammad Sadegh

    2017-05-01

    This study aims to assess and compare heavy metal distribution models developed using stepwise multiple linear regression (MSLR) and neural network-genetic algorithm model (ANN-GA) based on satellite imagery. The source identification of heavy metals was also explored using local Moran index. Soil samples (n = 300) were collected based on a grid and pH, organic matter, clay, iron oxide contents cadmium (Cd), lead (Pb) and zinc (Zn) concentrations were determined for each sample. Visible/near-infrared reflectance (VNIR) within the electromagnetic ranges of satellite imagery was applied to estimate heavy metal concentrations in the soil using MSLR and ANN-GA models. The models were evaluated and ANN-GA model demonstrated higher accuracy, and the autocorrelation results showed higher significant clusters of heavy metals around the industrial zone. The higher concentration of Cd, Pb and Zn was noted under industrial lands and irrigation farming in comparison to barren and dryland farming. Accumulation of industrial wastes in roads and streams was identified as main sources of pollution, and the concentration of soil heavy metals was reduced by increasing the distance from these sources. In comparison to MLSR, ANN-GA provided a more accurate indirect assessment of heavy metal concentrations in highly polluted soils. The clustering analysis provided reliable information about the spatial distribution of soil heavy metals and their sources.

  11. [Reinhold Reith. Torsten Meyer (Hrsg.) Luxus und Konsum : eine historische Annäherung] / Raimo Pullat

    Index Scriptorium Estoniae

    Pullat, Raimo, 1935-

    2009-01-01

    Arvustus: Reith, Reinhold. Torsten Meyer (Hrsg.) Luxus und Konsum : eine historische Annäherung. Cottbuser Studien zur Geschichte von Technik, Arbeit und Umwelt. hrsg. von Günter Bayerl. Bd. 21. 2003. Collegium Johann Beckmann'i kolmanda teaduskonverentsi ettekannete kogumikust

  12. Mart ja Mari-Ann Susi taotlevad omanikena Concordia pankrotti / Andri Maimets

    Index Scriptorium Estoniae

    Maimets, Andri

    2003-01-01

    Concordia Ülikooli rektori kohast loobunud Mart Susi ning prorektori ametikohalt lahkunud Mari-Ann Susi taotlevad neile kuuluvat ülikooli pidanud miljonivõlgades firma pankrotti. Hiljuti loodi õppejõududest, tudengitest js töötajatest mittetulundusühing Concordia Akadeemiline Ühisus (CAU), selle nõukogu esimees on Hagi Šein

  13. "Boob teab" / Kalju Komissarov ja Rait Avestik ; kommenteerinud ja toimetanud Anneli Saro

    Index Scriptorium Estoniae

    Komissarov, Kalju, 1946-2017

    2010-01-01

    Teatriseminar sarjast "Eesti algupärandid Eesti teatris" toimus Tartu Kirjanduse Maja krüptis 28. märtsil 2005, seminari juhtis Anneli Saro. Urmas Lennuki näidendi kolmest lavastusest: Tallinna Linnateatris (esietendus 28. veebruaril 2004, lavastas Jaanus Rohumaa), Rakvere Teatris (esietendus 10. septembril 2004, lavastas Kalju Komissarov) ja Vikerraadios (esietendus 4. septembril 2004, lavastas Tamur Tohver)

  14. PREDICTION OF DAILY ACTIVE AND REACTIVE ENERGY CONSUMPTION FOR CITY BYY ANN

    OpenAIRE

    ETEM KÖKLÜKAYA

    1997-01-01

    Artıfıcal neural network (ANN), is used in predctıon of energy and load as it used ın many dıfferent areas of electrıc power system. Energy consuptıon usage center has non-linear veriatıon characteristic.

  15. 76 FR 36151 - Notice of Inventory Completion: Museum of Anthropology, University of Michigan, Ann Arbor, MI

    Science.gov (United States)

    2011-06-21

    ... National Park Service Notice of Inventory Completion: Museum of Anthropology, University of Michigan, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The Museum of Anthropology... Indian tribe, and has determined that there is a cultural affiliation between the human remains and a...

  16. Kuidas me Afganistani õpetajaid õpetasime / Silja Mets-Oja, Irena Bartels, Annely Kärema ... [jt.

    Index Scriptorium Estoniae

    2015-01-01

    Sel kevadel käisid Tallinna tervishoiu kõrgkoolis täienduskoolitusel Afganistani ämmaemandad, kes ise õpetavad Afganistani meditsiinikoolides. Uutmoodi kogemust kirjeldavad TTK ämmaemanduse õppetooli juhataja Silja Mets-Oja ning ämmaemanduse õppejõud Irena Bartels, Annely Kärema, Kaire Sildver, Aet Maarja Leberecht ja Marika Merits

  17. Wind speed forecasting in three different regions of Mexico, using a hybrid ARIMA-ANN model

    Energy Technology Data Exchange (ETDEWEB)

    Cadenas, Erasmo [Facultad de Ingenieria Mecanica, Universidad Michoacana de San Nicolas de Hidalgo, Santiago Tapia No. 403, Centro (Mexico); Rivera, Wilfrido [Centro de Ivestigacion en Energia, Universidad Nacional Autonoma de Mexico, Apartado Postal 34, Temixco 62580, Morelos (Mexico)

    2010-12-15

    In this paper the wind speed forecasting in the Isla de Cedros in Baja California, in the Cerro de la Virgen in Zacatecas and in Holbox in Quintana Roo is presented. The time series utilized are average hourly wind speed data obtained directly from the measurements realized in the different sites during about one month. In order to do wind speed forecasting Hybrid models consisting of Autoregressive Integrated Moving Average (ARIMA) models and Artificial Neural Network (ANN) models were developed. The ARIMA models were first used to do the wind speed forecasting of the time series and then with the obtained errors ANN were built taking into account the nonlinear tendencies that the ARIMA technique could not identify, reducing with this the final errors. Once the Hybrid models were developed 48 data out of sample for each one of the sites were used to do the wind speed forecasting and the results were compared with the ARIMA and the ANN models working separately. Statistical error measures such as the mean error (ME), the mean square error (MSE) and the mean absolute error (MAE) were calculated to compare the three methods. The results showed that the Hybrid models predict the wind velocities with a higher accuracy than the ARIMA and ANN models in the three examined sites. (author)

  18. The influence of emerging administrative scientists: an interview with Anne Miller.

    Science.gov (United States)

    Miller, Anne; Adams, Jeffrey M

    2015-04-01

    This department highlights emerging nursing leaders and scientists demonstrating promise in advancing innovation and patient care leadership in practice, policy, research, education, and theory. This interview profiles Anne Miller, PhD, BA, assistant professor jointly appointed to the Center of Interdisciplinary Health Workforce Studies and the School of Nursing at Vanderbilt University Medical Center.

  19. Symbolism--The Main Artistic Style of Katherine Anne Porter's Short Stories

    Science.gov (United States)

    Wang, Ru

    2010-01-01

    The paper takes Katherine Anne Porter's two short stories: "Flowering Judas", "The Grave" as objects of study. It will try to analyze Porter's writing style through her imaginary conception, vivid psychological description and multiple symbolisms so that we can understand her studies and her attitudes to female psychological…

  20. Understanding Anne Frank's "The Diary of a Young Girl": A Student Casebook to Issues, Sources, and Historical Documents.

    Science.gov (United States)

    Kopf, Hedda Rosner

    Anne Frank's "The Diary of a Young Girl" is the most widely read text about the Holocaust, yet it represents only one example of the tragic consequences of the Nazi policy to eliminate the Jews of Europe during World War II. This casebook enriches Anne Frank's remarkable personal account with a variety of historical documents that…

  1. Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research.

    Science.gov (United States)

    Agatonovic-Kustrin, S; Beresford, R

    2000-06-01

    Artificial neural networks (ANNs) are biologically inspired computer programs designed to simulate the way in which the human brain processes information. ANNs gather their knowledge by detecting the patterns and relationships in data and learn (or are trained) through experience, not from programming. An ANN is formed from hundreds of single units, artificial neurons or processing elements (PE), connected with coefficients (weights), which constitute the neural structure and are organised in layers. The power of neural computations comes from connecting neurons in a network. Each PE has weighted inputs, transfer function and one output. The behavior of a neural network is determined by the transfer functions of its neurons, by the learning rule, and by the architecture itself. The weights are the adjustable parameters and, in that sense, a neural network is a parameterized system. The weighed sum of the inputs constitutes the activation of the neuron. The activation signal is passed through transfer function to produce a single output of the neuron. Transfer function introduces non-linearity to the network. During training, the inter-unit connections are optimized until the error in predictions is minimized and the network reaches the specified level of accuracy. Once the network is trained and tested it can be given new input information to predict the output. Many types of neural networks have been designed already and new ones are invented every week but all can be described by the transfer functions of their neurons, by the learning rule, and by the connection formula. ANN represents a promising modeling technique, especially for data sets having non-linear relationships which are frequently encountered in pharmaceutical processes. In terms of model specification, artificial neural networks require no knowledge of the data source but, since they often contain many weights that must be estimated, they require large training sets. In addition, ANNs can combine

  2. Comparative Analysis of ANN and SVM Models Combined with Wavelet Preprocess for Groundwater Depth Prediction

    Directory of Open Access Journals (Sweden)

    Ting Zhou

    2017-10-01

    Full Text Available Reliable prediction of groundwater depth fluctuations has been an important component in sustainable water resources management. In this study, a data-driven prediction model combining discrete wavelet transform (DWT preprocess and support vector machine (SVM was proposed for groundwater depth forecasting. Regular artificial neural networks (ANN, regular SVM, and wavelet preprocessed artificial neural networks (WANN models were also developed for comparison. These methods were applied to the monthly groundwater depth records over a period of 37 years from ten wells in the Mengcheng County, China. Relative absolute error (RAE, Pearson correlation coefficient (r, root mean square error (RMSE, and Nash-Sutcliffe efficiency (NSE were adopted for model evaluation. The results indicate that wavelet preprocess extremely improved the training and test performance of ANN and SVM models. The WSVM model provided the most precise and reliable groundwater depth prediction compared with ANN, SVM, and WSVM models. The criterion of RAE, r, RMSE, and NSE values for proposed WSVM model are 0.20, 0.97, 0.18 and 0.94, respectively. Comprehensive comparisons and discussion revealed that wavelet preprocess extremely improves the prediction precision and reliability for both SVM and ANN models. The prediction result of SVM model is superior to ANN model in generalization ability and precision. Nevertheless, the performance of WANN is superior to SVM model, which further validates the power of data preprocess in data-driven prediction models. Finally, the optimal model, WSVM, is discussed by comparing its subseries performances as well as model performance stability, revealing the efficiency and universality of WSVM model in data driven prediction field.

  3. Anmeldelse: Anne Gjelsvik & Rikke Schubart : Women of ice and fire: Gender, Game of Thrones, and multiple media engagements, New York/London: Bloomsbury, 2016

    DEFF Research Database (Denmark)

    Konzack, Lars

    2017-01-01

    Anmeldelse af bogen Women of Ice and F ire: Gender, Game of Thrones redigeret af Anne Gjelsvik & Rikke Schubart.......Anmeldelse af bogen Women of Ice and F ire: Gender, Game of Thrones redigeret af Anne Gjelsvik & Rikke Schubart....

  4. Luik : Kennan muutis mõtteviisi / Jüri Luik ; interv. Erkki Bahovski

    Index Scriptorium Estoniae

    Luik, Jüri, 1966-

    2005-01-01

    Eesti USA suursaadiku sõnul muutis George Kennan Lääne mõtteviisi, pannes piiri demokraatiate taganemisele kommunistliku Venemaa ees. Lisa: George Frost Kennan. Vt. samas: Kaarel Kaas. Kommunismi ohjeldaja suri 101-aastasena. Vt. ka Lennart Meri. Suur ja väike : George F. Kennan 1904-2005, lk. 13

  5. Prophecy, patriarchy, and violence in the early modern household: the revelations of Anne Wentworth.

    Science.gov (United States)

    Johnston, Warren

    2009-10-01

    In 1676 the apostate Baptist prophet Anne Wentworth (1629/30-1693?) published "A True Account of Anne Wentworths Being Cruelly, Unjustly, and Unchristianly Dealt with by Some of Those People called Anabaptists," the first in a series of pamphlets that would continue to the end of the decade. Orignially a member of a London Baptist church, Wentworth left the congregation and eventually her own home after her husband used physical force to stop her writing and prophesying. Yet Wentworth persisted in her "revelations." These prophecies increasingly focused on her response to those who were trying to stop her efforts, especially within her own household. This article examines Wentworth's writings as an effort by an early modern woman, using arguments of spiritual agency, to assert ideas about proper gender roles and household responsibilities to denounce her husband and rebut those who criticized and attempted to suppress her.

  6. Steni muinasjutuvõistluse võitjad selgunud / Ants Roos, Ann Roos

    Index Scriptorium Estoniae

    Roos, Ants

    2008-01-01

    Steni XVI muinasjutuvõistluse žüriisse kuulusid: Ann Roos, Ants Roos, Leelo Tungal, Krista Kumberg, Leida Olszak, Ülle Väljataga. Tulemused: I koht Siim Niinelaid, II koht Julius Air Kull, III koht Mihkel Rammu. Žürii eriauhinnad: Anna Kristin Peterson, Elis Ruus, Rain Hallikas, Mariliis Peterson, Marjaliisa Palu, Karl Kirsimäe, Margaret Pulk. Ergutusauhinnad: Karmel Klaus, Martti Kaljuste, Kristina Korell, Mirjam Võsaste, Mihkel Põder, Iirys Kalde, Miriam Jamul, Mari-Ann Mägi, Ketlin Saar, Liisbeth Kirss. Muud eriauhinnad said: Allan Läll, Berle Mees, Anett Kuuse, Karl Erik Kübarsepp, Grete Tamm, Siim Niinelaid, Kaisa Marie Sipelgas, Ellen Anett Põldmaa, Evelin Laul, Karl Laas, Karl Stamm, Kerli Retter

  7. Multifraktalitas dan Studi Komparatif Prediksi Indeks dengan Metode Arima dan Artificial Neural Network (ANN

    Directory of Open Access Journals (Sweden)

    Harjum Muharam

    2008-09-01

    Full Text Available This paper discusses technical analysis widely used by investors. There are many methods that exist and used by investor to predict the future value of a stock. In this paper we start from finding the value of Hurst (H exponent of LQ 45 Index to know the form of the Index. From H value, we could determinate that the time series data is purely random, or ergodic and ant persistent, or persistent to a certain trend. Two prediction tools were chosen, ARIMA (Auto Regressive Integrated Moving Average which is the de facto standard for univariate prediction model in econometrics and Artificial Neural Network (ANN Back Propagation. Data left from ARIMA is used as an input for both methods. We compared prediction error from each method to determine which method is better. The result shows that LQ45 Index is persistent to a certain trend therefore predictable and for outputted sample data ARIMA outperforms ANN.

  8. Modeling of local scour depth downstream hydraulic structures in trapezoidal channel using GEP and ANNs

    Directory of Open Access Journals (Sweden)

    Yasser Abdallah Mohamed Moussa

    2013-12-01

    Full Text Available Local scour downstream stilling basins is so complex that it makes it difficult to establish a general empirical model to provide accurate estimation for scour depth. Lack estimation of local scour can endanger to stability of hydraulic structure and can cause risk of failure. This paper presents Gene expression program (GEP and artificial neural network (ANNs, to simulate local scour depth downstream hydraulic structures. The experimental data is collected from the literature for the scour depth downstream the stilling basin through a trapezoidal channel. Using GEP approach gives satisfactory results compared with artificial neural network (ANN and multiple linear regression (MLR modeling in predicting the scour depth downstream of hydraulic structures.

  9. Les premières années de The Himalayan Journal (1929-1940

    Directory of Open Access Journals (Sweden)

    Michel Raspaud

    2001-05-01

    Full Text Available IntroductionLa création de The Himalayan Club, sur le territoire de l’Empire des Indes à la fin de l’année 1927, s’accompagne presque aussitôt de la publication de The Himalayan Journal, en février 1929, soit mois de dix-huit mois après la création officielle de l’institution. L’objet du présent texte concerne donc la vie de The Himalayan Club lors de ses premières années d’existence, depuis la date de sa création jusqu’au début de la seconde guerre mondiale. Cependant, l’intérêt se focaliser...

  10. FPGA implementation of adaptive ANN controller for speed regulation of permanent magnet stepper motor drives

    Energy Technology Data Exchange (ETDEWEB)

    Hasanien, Hany M., E-mail: Hanyhasanien@ieee.or [Dept. of Elec. Power and Machines, Faculty of Eng., Ain Shams Univ., Cairo (Egypt)

    2011-02-15

    This paper presents a novel adaptive artificial neural network (ANN) controller, which applies on permanent magnet stepper motor (PMSM) for regulating its speed. The dynamic response of the PMSM with the proposed controller is studied during the starting process under the full load torque and under load disturbance. The effectiveness of the proposed adaptive ANN controller is then compared with that of the conventional PI controller. The proposed methodology solves the problem of nonlinearities and load changes of PMSM drives. The proposed controller ensures fast and accurate dynamic response with an excellent steady state performance. Matlab/Simulink tool is used for this dynamic simulation study. The main contribution of this work is the implementation of the proposed controller on field programmable gate array (FPGA) hardware to drive the stepper motor. The driver is built on FPGA Spartan-3E Starter from Xilinx. Experimental results are presented to demonstrate the validity and effectiveness of the proposed control scheme.

  11. Les comptes rendus de Durkheim à L’Année sociologique

    Directory of Open Access Journals (Sweden)

    Matthieu Béra

    2012-04-01

    Full Text Available « Proposition 98. Ce qui est juste, c’est ceci : la même proposition peut être traitée à un moment comme ce qui est à vérifier par l’expérience, à un autre moment comme une règle de la vérification. »Les comptes rendus de L’Année sociologique : un corpus encore largement sous-exploitéÉmile Durkheim (1858-1917 contribua pour une très grande part à alimenter en critiques bibliographiques L’Année sociologique, revue dont le premier numéro parut en 1898 et qu’il dirigea pendant quinze ans. Il ré...

  12. Discrete wavelet transform coupled with ANN for daily discharge forecasting into Três Marias reservoir

    Science.gov (United States)

    Santos, C. A. G.; Freire, P. K. M. M.; Silva, G. B. L.; Silva, R. M.

    2014-09-01

    This paper proposes the use of discrete wavelet transform (DWT) to remove the high-frequency components (details) of an original signal, because the noises generally present in time series (e.g. streamflow records) may influence the prediction quality. Cleaner signals could then be used as inputs to an artificial neural network (ANN) in order to improve the model performance of daily discharge forecasting. Wavelet analysis provides useful decompositions of original time series in high and low frequency components. The present application uses the Coiflet wavelets to decompose hydrological data, as there have been few reports in the literature. Finally, the proposed technique is tested using the inflow records to the Três Marias reservoir in São Francisco River basin, Brazil. This transformed signal is used as input for an ANN model to forecast inflows seven days ahead, and the error RMSE decreased by more than 50% (i.e. from 454.2828 to 200.0483).

  13. Vegetarian Eco-feminist Consciousness in Carol Ann Duffy’s Poetry

    Directory of Open Access Journals (Sweden)

    Jie Zhou

    2015-07-01

    Full Text Available This paper discusses vegetarian eco-feminist consciousness in Carol Ann Duffy’s poetry by close analysis of two poems, namely “The Dolphins” and “A Healthy Diet” from her poem collection Standing Female Nude. The former is a dramatic monologue of a dolphin, which is exploited by people, and the latter is a dramatic monologue of an omnipotent observer in a restaurant. Both poems criticized the species-ism, and together, they showed the poet’s vegetarian eco-feminist consciousness. A close reading of the two poems from the eco-feminist perspective helps the reader understand why Carol Ann Duffy is honored as the first woman poet laureate in British history, and better understand vegetarian eco-feminism and its influence in British society. Keywords: eco-feminism; consciousness, species-ism, vegetarian, animal, diet

  14. EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN.

    Science.gov (United States)

    Djemal, Ridha; AlSharabi, Khalil; Ibrahim, Sutrisno; Alsuwailem, Abdullah

    2017-01-01

    Autism spectrum disorder (ASD) is a type of neurodevelopmental disorder with core impairments in the social relationships, communication, imagination, or flexibility of thought and restricted repertoire of activity and interest. In this work, a new computer aided diagnosis (CAD) of autism ‎based on electroencephalography (EEG) signal analysis is investigated. The proposed method is based on discrete wavelet transform (DWT), entropy (En), and artificial neural network (ANN). DWT is used to decompose EEG signals into approximation and details coefficients to obtain EEG subbands. The feature vector is constructed by computing Shannon entropy values from each EEG subband. ANN classifies the corresponding EEG signal into normal or autistic based on the extracted features. The experimental results show the effectiveness of the proposed method for assisting autism diagnosis. A receiver operating characteristic (ROC) curve metric is used to quantify the performance of the proposed method. The proposed method obtained promising results tested using real dataset provided by King Abdulaziz Hospital, Jeddah, Saudi Arabia.

  15. A Woman Voice in an Epic: Tracing Gendered Motifs in Anne Vabarna's Peko

    Directory of Open Access Journals (Sweden)

    Andreas Kalkun

    2008-12-01

    Full Text Available In the article the gendered motifs found in Anne Vabarna’s Seto epic Peko are analysed. Besides the narrative telling of the life of the male hero, the motives regarding eating, refusing to eat or offering food, and the aspect of the female body or its control deserve to be noticed. These scenes do not communicate the main plot, they are often related to minor characters of the epic and slow down the narrative, but at the same time they clearly carry artistic purpose and meaning. I consider these motifs, present in the liminal parts of the epic, to be the dominant symbols of the epic where the author’s feminine world is being exposed. Observing these motifs of Peko in the context of Seto religious worldview, the life of Anne Vabarna and the social position of Seto women, the symbols become eloquent and informative.

  16. ANN based Estimation of Ultra High Energy (UHE) Shower Size using Radio Data

    Science.gov (United States)

    Sinha, Kalpana Roy; Datta, Pranayee; Sarma, Kandarpa Kumar

    2013-02-01

    Size estimation is a challenging area in the field of Ultra High Energy (UHE) showers where actual measurements are always associated with uncertainty of events and imperfections in detection mechanisms. The subtle variations resulting out of such factors incorporate certain random behaviour in the readings provided by shower detectors for subsequent processing. Field strength recorded by radio detectors may also be affected by this statistical nature. Hence there is a necessity of development of a system which can remain immune to such random behaviour and provide resilient readings to subsequent stages. Here, we propose a system based on Artificial Neural Network (ANN) which accepts radio field strength recorded by radio detectors and provides estimates of shower sizes in the UHE region. The ANN in feed-forward form is trained with a range of shower events with which it can effectively handle the randomness observed in the detector reading due to imperfections in the experimental apparatus and related set-up.

  17. Prediction of Tourism Demand in Iran by Using Artificial Neural Network (ANN and Supporting Vector Machine (SVR

    Directory of Open Access Journals (Sweden)

    Seyedehelham Sadatiseyedmahalleh

    2016-02-01

    Full Text Available This research examines and proves this effectiveness connected with artificial neural networks (ANNs as an alternative approach to the use of Support Vector Machine (SVR in the tourism research. This method can be used for the tourism industry to define the turism’s demands in Iran. The outcome reveals the use of ANNs in tourism research might result in better quotations when it comes to prediction bias and accuracy. Even more applications of ANNs in the context of tourism demand evaluation is needed to establish and validate the effects.

  18. Ocular adnexal lymphoma staging and treatment: American Joint Committee on Cancer versus Ann Arbor.

    Science.gov (United States)

    Graue, Gerardo F; Finger, Paul T; Maher, Elizabeth; Della Rocca, David; Della Rocca, Robert; Lelli, Gary J; Milman, Tatyana

    2013-01-01

    To evaluate the prognostic utility of the American Joint Committee on Cancer (AJCC) staging system for ocular adnexal lymphoma (OAL).
 A multicenter, consecutive case series of patients with biopsy-proven conjunctival, orbit, eyelid, or lacrimal gland/sac lymphoma was performed. The electronic pathology and clinical records were reviewed for new or recurrent cases of ocular adnexal lymphoma. The main outcome measures included pathology and clinical staging (AJCC and Ann Arbor systems), treatment, and recurrence (local and systemic). Statistical analysis included demographic evaluations and the Kaplan-Meier survival probability method.
 Extranodal marginal zone B-cell lymphoma of mucosa-associated lymphoid tissue were the most common (n=60/83, 72%). The most common Ann Arbor clinical stages were IE (76%) followed by IIE (17%) and IIIE (7%). Pathology identified 13 cases (15%) that were upstaged to group IV (p=0.017). Similarly, AJCC clinical stages were cT1NOMO (21.7%), cT2NOMO (44.6%), cT3N0M0 (5%), and cT4NOMO (2.4%). Local control was achieved in 75% of treated patients. There were 19 local recurrences from which 14 (74%) belonged to the non-radiation treatment groups. Lower-risk groups (T1 and T2 without lymph node involvement or metastatic disease of AJCC and IE of Ann Arbor) had longer disease-free survival than the higher-risk groups (AJCC T1, T2 with nodal involvement or metastatic disease, T3, and T4 as well as Ann Arbor II, III, and IV). The overall mean follow-up was 43.3 months (range 6-274).
 Regardless of stage, recurrence and disease-free survival were more closely related to treatment and histopathology rather than tumor size or site-specific location.

  19. Rapport de frais de 2017-2018 pour Mary Anne Chambers | CRDI ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Rapport de frais de 2017-2018 pour Mary Anne Chambers. Total des frais de déplacement : CAD$14,462.99. Constatation de l'impact de la recherche en Afrique de l'Est. 2 juillet 2017 au 12 juillet 2017. CAD$12,528.71. Réunion du Conseil des gouverneurs. 18 juin 2017 au 21 juin 2017. CAD$1,145.57. Représenter le ...

  20. Rapport de frais de 2016-2017 pour Mary Anne Chambers | CRDI ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Rapport de frais de 2016-2017 pour Mary Anne Chambers. Total des frais de déplacement : CAD$9,584.36. Réunion du Conseil des gouverneurs. 19 mars 2017 au 22 mars 2017. CAD$1,289.85. Assister au Cours de l'École de la fonction publique du Canada sur les sociétés d'État. 28 novembre 2016 au 29 novembre ...

  1. IDI diesel engine performance and exhaust emission analysis using biodiesel with an artificial neural network (ANN)

    OpenAIRE

    K. Prasada Rao; T. Victor Babu; Anuradha, G.; B.V. Appa Rao

    2016-01-01

    Biodiesel is receiving increasing attention each passing day because of its fuel properties and compatibility. This study investigates the performance and emission characteristics of single cylinder four stroke indirect diesel injection (IDI) engine fueled with Rice Bran Methyl Ester (RBME) with Isopropanol additive. The investigation is done through a combination of experimental data analysis and artificial neural network (ANN) modeling. The study used IDI engine experimental data to evaluat...

  2. Le 'problème anglophone' au Cameroun dans les années 1990

    NARCIS (Netherlands)

    Konings, P.J.J.

    1996-01-01

    À la suite de la libéralisation politique au Cameroun au début des années 1990, une partie de l'élite anglophone a commencé à s'organiser en de nombreuses associations et groupes de pression pour protester contre la prétendue position subordonnée de la minorité anglophone dans un État unitaire

  3. Ann O'Mara, PhD, RN, MPH | Division of Cancer Prevention

    Science.gov (United States)

    Dr. Ann O'Mara is Head of Palliative Research in the NCI Division of Cancer Prevention. She manages a portfolio of symptom management and palliative and end-of-life care research projects. The majority of these projects focus on the more common morbidities associated with cancer and its treatment, e.g., pain, chemotherapy induced neuropathy, fatigue, sleep disturbances, and psychosocial issues, such as distress, anxiety and depression. |

  4. Artificial neural networks (ANN): prediction of sensory measurements from instrumental data

    OpenAIRE

    Carvalho,Naiara Barbosa; Minim,Valéria Paula Rodrigues; Silva,Rita de Cássia dos Santos Navarro; Della Lucia,Suzana Maria; Minim,Luis Aantonio

    2013-01-01

    The objective of this study was to predict by means of Artificial Neural Network (ANN), multilayer perceptrons, the texture attributes of light cheesecurds perceived by trained judges based on instrumental texture measurements. Inputs to the network were the instrumental texture measurements of light cheesecurd (imitative and fundamental parameters). Output variables were the sensory attributes consistency and spreadability. Nine light cheesecurd formulations composed of different combination...

  5. From Ann Arbor to Sheffield: Around the World in 80 Years. I

    CERN Document Server

    Hoover, William Graham

    2016-01-01

    Childhood and graduate school at Ann Arbor Michigan prepared Bill for an interesting and rewarding career in physics. Along the way came Carol and many joint discoveries with our many colleagues to whom we both owe this good life. This summary of Bill's early work prior to their marriage and sabbatical in Japan is Part I, prepared for Bill's 80th Birthday celebration at the University of Sheffield in July 2016.

  6. Development of a new software tool, based on ANN technology, in neutron spectrometry and dosimetry research

    Energy Technology Data Exchange (ETDEWEB)

    Ortiz R, J.M.; Martinez B, M.R.; Vega C, H.R. [Universidad Autonoma de Zacatecas, Av. Ramon Lopez Velarde 801, A.P. 336, 98000 Zacatecas (Mexico)

    2007-07-01

    Artificial Intelligence is a branch of study which enhances the capability of computers by giving them human-like intelligence. The brain architecture has been extensively studied and attempts have been made to emulate it as in the Artificial Neural Network technology. A large variety of neural network architectures have been developed and they have gained wide-spread popularity over the last few decades. Their application is considered as a substitute for many classical techniques that have been used for many years, as in the case of neutron spectrometry and dosimetry research areas. In previous works, a new approach called Robust Design of Artificial Neural network was applied to build an ANN topology capable to solve the neutron spectrometry and dosimetry problems within the Mat lab programming environment. In this work, the knowledge stored at Mat lab ANN's synaptic weights was extracted in order to develop for first time a customized software application based on ANN technology, which is proposed to be used in the neutron spectrometry and simultaneous dosimetry fields. (Author)

  7. Dispersion compensation of fiber optic communication system with direct detection using artificial neural networks (ANNs)

    Science.gov (United States)

    Maghrabi, Mahmoud M. T.; Kumar, Shiva; Bakr, Mohamed H.

    2018-02-01

    This work introduces a powerful digital nonlinear feed-forward equalizer (NFFE), exploiting multilayer artificial neural network (ANN). It mitigates impairments of optical communication systems arising due to the nonlinearity introduced by direct photo-detection. In a direct detection system, the detection process is nonlinear due to the fact that the photo-current is proportional to the absolute square of the electric field intensity. The proposed equalizer provides the most efficient computational cost with high equalization performance. Its performance is comparable to the benchmark compensation performance achieved by maximum-likelihood sequence estimator. The equalizer trains an ANN to act as a nonlinear filter whose impulse response removes the intersymbol interference (ISI) distortions of the optical channel. Owing to the proposed extensive training of the equalizer, it achieves the ultimate performance limit of any feed-forward equalizer (FFE). The performance and efficiency of the equalizer is investigated by applying it to various practical short-reach fiber optic communication system scenarios. These scenarios are extracted from practical metro/media access networks and data center applications. The obtained results show that the ANN-NFFE compensates for the received BER degradation and significantly increases the tolerance to the chromatic dispersion distortion.

  8. Prediction of Frequency for Simulation of Asphalt Mix Fatigue Tests Using MARS and ANN

    Directory of Open Access Journals (Sweden)

    Ali Reza Ghanizadeh

    2014-01-01

    Full Text Available Fatigue life of asphalt mixes in laboratory tests is commonly determined by applying a sinusoidal or haversine waveform with specific frequency. The pavement structure and loading conditions affect the shape and the frequency of tensile response pulses at the bottom of asphalt layer. This paper introduces two methods for predicting the loading frequency in laboratory asphalt fatigue tests for better simulation of field conditions. Five thousand (5000 four-layered pavement sections were analyzed and stress and strain response pulses in both longitudinal and transverse directions was determined. After fitting the haversine function to the response pulses by the concept of equal-energy pulse, the effective length of the response pulses were determined. Two methods including Multivariate Adaptive Regression Splines (MARS and Artificial Neural Network (ANN methods were then employed to predict the effective length (i.e., frequency of tensile stress and strain pulses in longitudinal and transverse directions based on haversine waveform. It is indicated that, under controlled stress and strain modes, both methods (MARS and ANN are capable of predicting the frequency of loading in HMA fatigue tests with very good accuracy. The accuracy of ANN method is, however, more than MARS method. It is furthermore shown that the results of the present study can be generalized to sinusoidal waveform by a simple equation.

  9. On-line dynamic monitoring automotive exhausts: using BP-ANN for distinguishing multi-components

    Science.gov (United States)

    Zhao, Yudi; Wei, Ruyi; Liu, Xuebin

    2017-10-01

    Remote sensing-Fourier Transform infrared spectroscopy (RS-FTIR) is one of the most important technologies in atmospheric pollutant monitoring. It is very appropriate for on-line dynamic remote sensing monitoring of air pollutants, especially for the automotive exhausts. However, their absorption spectra are often seriously overlapped in the atmospheric infrared window bands, i.e. MWIR (3 5μm). Artificial Neural Network (ANN) is an algorithm based on the theory of the biological neural network, which simplifies the partial differential equation with complex construction. For its preferable performance in nonlinear mapping and fitting, in this paper we utilize Back Propagation-Artificial Neural Network (BP-ANN) to quantitatively analyze the concentrations of four typical industrial automotive exhausts, including CO, NO, NO2 and SO2. We extracted the original data of these automotive exhausts from the HITRAN database, most of which virtually overlapped, and established a mixed multi-component simulation environment. Based on Beer-Lambert Law, concentrations can be retrieved from the absorbance of spectra. Parameters including learning rate, momentum factor, the number of hidden nodes and iterations were obtained when the BP network was trained with 80 groups of input data. By improving these parameters, the network can be optimized to produce necessarily higher precision for the retrieved concentrations. This BP-ANN method proves to be an effective and promising algorithm on dealing with multi-components analysis of automotive exhausts.

  10. ANN-PSO Integrated Optimization Methodology for Intelligent Control of MMC Machining

    Science.gov (United States)

    Chandrasekaran, Muthumari; Tamang, Santosh

    2017-08-01

    Metal Matrix Composites (MMC) show improved properties in comparison with non-reinforced alloys and have found increased application in automotive and aerospace industries. The selection of optimum machining parameters to produce components of desired surface roughness is of great concern considering the quality and economy of manufacturing process. In this study, a surface roughness prediction model for turning Al-SiCp MMC is developed using Artificial Neural Network (ANN). Three turning parameters viz., spindle speed ( N), feed rate ( f) and depth of cut ( d) were considered as input neurons and surface roughness was an output neuron. ANN architecture having 3 -5 -1 is found to be optimum and the model predicts with an average percentage error of 7.72 %. Particle Swarm Optimization (PSO) technique is used for optimizing parameters to minimize machining time. The innovative aspect of this work is the development of an integrated ANN-PSO optimization method for intelligent control of MMC machining process applicable to manufacturing industries. The robustness of the method shows its superiority for obtaining optimum cutting parameters satisfying desired surface roughness. The method has better convergent capability with minimum number of iterations.

  11. Structure-activity correlations for illicit amphetamines using ANN and constitutional descriptors.

    Science.gov (United States)

    Gosav, S; Praisler, M; Dorohoi, D O; Popa, G

    2006-12-15

    The goal of this study was to develop an expert system capable to identify the potential biological activity of new substances having a molecular structure similar to illicit amphetamines. For this purpose we have designed two types of artificial neural network (ANN) systems, which have been trained to classify amphetamines according to their toxicological activity (stimulant amphetamines or hallucinogenic amphetamines) and distinguish them from nonamphetamines. Such a system is essential for testing new molecular structures for epidemiological, clinical, and forensic purposes. The first type of artificial neural network is a "spectral" neural network, which has as input variables the most important 100 absorption intensities from a total of 260 measured for each normalized infrared spectrum 10cm(-1) apart. The spectral data consists of a database built with the GC-FT-IR spectra of the most popular drugs of abuse (mainly central stimulants, hallucinogens, sympathomimetic amines, narcotics and other potent analgesics), precursors and derivatized counterparts. All samples were also characterized by their constitutional descriptors (CDs). For each sample, a number of 45 CDs were computed and introduced as input variables for a second type of ANN, which uses a structural database. The efficiency of this "structural" artificial neural network (CD-ANN) has been improved by optimizing the training set and increasing the number of input variables (CDs). A comparative analysis of the spectral and the structural networks is presented.

  12. Predicting the Deflections of Micromachined Electrostatic Actuators Using Artificial Neural Network (ANN

    Directory of Open Access Journals (Sweden)

    Hing Wah LEE

    2009-03-01

    Full Text Available In this study, a general purpose Artificial Neural Network (ANN model based on the feed-forward back-propagation (FFBP algorithm has been used to predict the deflections of a micromachined structures actuated electrostatically under different loadings and geometrical parameters. A limited range of simulation results obtained via CoventorWare™ numerical software will be used initially to train the neural network via back-propagation algorithm. The micromachined structures considered in the analyses are diaphragm, fixed-fixed beams and cantilevers. ANN simulation results are compared with results obtained via CoventorWare™ simulations and existing analytical work for validation purpose. The proposed ANN model accurately predicts the deflections of the micromachined structures with great reduction of simulation efforts, establishing the method superiority. This method can be extended for applications in other sensors particularly for modeling sensors applying electrostatic actuation which are difficult in nature due to the inherent non-linearity of the electro-mechanical coupling response.

  13. Predicting PM10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN).

    Science.gov (United States)

    Park, Sechan; Kim, Minjeong; Kim, Minhae; Namgung, Hyeong-Gyu; Kim, Ki-Tae; Cho, Kyung Hwa; Kwon, Soon-Bark

    2018-01-05

    The indoor air quality of subway systems can significantly affect the health of passengers since these systems are widely used for short-distance transit in metropolitan urban areas in many countries. The particles generated by abrasion during subway operations and the vehicle-emitted pollutants flowing in from the street in particular affect the air quality in underground subway stations. Thus the continuous monitoring of particulate matter (PM) in underground station is important to evaluate the exposure level of PM to passengers. However, it is difficult to obtain indoor PM data because the measurement systems are expensive and difficult to install and operate for significant periods of time in spaces crowded with people. In this study, we predicted the indoor PM concentration using the information of outdoor PM, the number of subway trains running, and information on ventilation operation by the artificial neural network (ANN) model. As well, we investigated the relationship between ANN's performance and the depth of underground subway station. ANN model showed a high correlation between the predicted and actual measured values and it was able to predict 67∼80% of PM at 6 subway station. In addition, we found that platform shape and depth influenced the model performance. Copyright © 2017 Elsevier B.V. All rights reserved.

  14. ANN based Performance Evaluation of BDI for Condition Monitoring of Induction Motor Bearings

    Science.gov (United States)

    Patel, Raj Kumar; Giri, V. K.

    2017-06-01

    One of the critical parts in rotating machines is bearings and most of the failure arises from the defective bearings. Bearing failure leads to failure of a machine and the unpredicted productivity loss in the performance. Therefore, bearing fault detection and prognosis is an integral part of the preventive maintenance procedures. In this paper vibration signal for four conditions of a deep groove ball bearing; normal (N), inner race defect (IRD), ball defect (BD) and outer race defect (ORD) were acquired from a customized bearing test rig, under four different conditions and three different fault sizes. Two approaches have been opted for statistical feature extraction from the vibration signal. In the first approach, raw signal is used for statistical feature extraction and in the second approach statistical features extracted are based on bearing damage index (BDI). The proposed BDI technique uses wavelet packet node energy coefficients analysis method. Both the features are used as inputs to an ANN classifier to evaluate its performance. A comparison of ANN performance is made based on raw vibration data and data chosen by using BDI. The ANN performance has been found to be fairly higher when BDI based signals were used as inputs to the classifier.

  15. IDI diesel engine performance and exhaust emission analysis using biodiesel with an artificial neural network (ANN

    Directory of Open Access Journals (Sweden)

    K. Prasada Rao

    2017-09-01

    Full Text Available Biodiesel is receiving increasing attention each passing day because of its fuel properties and compatibility. This study investigates the performance and emission characteristics of single cylinder four stroke indirect diesel injection (IDI engine fueled with Rice Bran Methyl Ester (RBME with Isopropanol additive. The investigation is done through a combination of experimental data analysis and artificial neural network (ANN modeling. The study used IDI engine experimental data to evaluate nine engine performance and emission parameters including Exhaust Gas Temperature (E.G.T, Brake Specific Fuel Consumption (BSFC, Brake Thermal Efficiency (B.The and various emissions like Hydrocarbons (HC, Carbon monoxide (CO, Carbon dioxide (CO2, Oxygen (O2, Nitrogen oxides (NOX and smoke. For the ANN modeling standard back propagation algorithm was found to be the optimum choice for training the model. A multi-layer perception (MLP network was used for non-linear mapping between the input and output parameters. It was found that ANN was able to predict the engine performance and exhaust emissions with a correlation coefficient of 0.995, 0.980, 0.999, 0.985, 0.999, 0.999, 0.980, 0.999, and 0.999 for E.G.T, BSFC, B.The, HC, O2, CO2, CO, NOX, smoke respectively.

  16. Tagasipöördumine esteetika juurde = Return to aesthetics / Keith Moxey, Michael Ann Holly ; interv. Anu Allas

    Index Scriptorium Estoniae

    Moxey, Keith

    2007-01-01

    Ameerika kunstiajaloolased Keith Moxey ning Michael Ann Holly tutvustavad uut lähenemist kunstiajaloole (new art history). Nn. naasmine esteetika juurde tähendab püüet integreerida kunstiajalukku ja -teooriasse uuesti ja tugevamalt kunstiteos

  17. Kuidas jagate oma linnas 1. klassi minevate laste vahel koolikohti? / Andrus Haugas, Helle Aunap, Maira Bogdanova, Anneli Rants

    Index Scriptorium Estoniae

    2008-01-01

    Küsimusele vastavad Pärnu linnavalitsuse haridusosakonna juhataja Andrus Haugas, Viljandi aselinnapea Helle Aunap, Tartu linnavalitsuse haridusosakonna peaspetsialist Maira Bogdanova, Valga linnavalitsuse haridus- ja kultuuriosakonna juhataja Anneli Rants

  18. Evaluation Of The Advanced Operating System Of The Ann Arbor Transportation Authority : Evaluation Of Automatic Vehicle Location Accuracy

    Science.gov (United States)

    1999-01-01

    In 1997, the Ann Arbor (Michigan) Transportation Authority began deploying advanced public transportation systems (APTS) technologies in its fixed route and paratransit operations. The project's concept is the integration of a range of such technolog...

  19. ANN based evaluation of the NOx concentration in the exhaust gas of a marine two-stroke diesel engine

    National Research Council Canada - National Science Library

    Kowalski, Jerzy

    2009-01-01

    ...) to the evaluation of NOx concentration in the exhaust gas of a marine two-stroke Diesel engine. A concept is presented how to use the ANN as an alternative to direct measurements carried out on a ship at sea...

  20. Review: Miller, Michelle Ann (2009, Rebellion and Reform in Indonesia – Jakarta’s Security and Autonomy Policies in Aceh

    Directory of Open Access Journals (Sweden)

    Antje Missbach

    2009-01-01

    Full Text Available Review of the monograph: Miller, Michelle Ann, Rebellion and Reform in Indonesia – Jakarta’s Security and Autonomy Policies in Aceh, London/ New York: Routledge, 2009, ISBN 13: 978-0-415-45467-4, 240 pages.

  1. Kommunikatsioonijuht saab aidata arsti ja patsienti / Eda Amur, Anneli Bogens, Svea Talving, Krista Valdvee ; intervjueerinud Küllike Heide

    Index Scriptorium Estoniae

    2013-01-01

    Meditsiinivaldkonna kommunikatsiooniga seotud küsimuste ja probleemide üle arutlevad nelja haigla kommunikatsioonijuhid: Eda Amur Pärnu haiglast, Anneli Bogens Ida-Viru keskhaiglast, Svea Talving Ida-Tallinna keskhaiglast ning Krista Valdvee Viljandi haiglast

  2. La télévision dans les démocraties. Années 30-années 1980

    Directory of Open Access Journals (Sweden)

    Evelyne Cohen

    2004-09-01

    Full Text Available Entre les années 1930 et les années 1980, la télévision s´est transformée en acteur essentiel du débat et de la vie politique, sociale, culturelle des démocraties occidentales. A la fin de la deuxième guerre mondiale la télévision s´associe à l´expression des idéaux démocratiques de la société. Entre 1945 et 1980, à travers plusieurs étapes, l´audiovisuel tend à échapper au contrôle de l´Etat. Une nouvelle télévision voit le jour.Entre los años 1930 y los años 1980, la televisión se convirtió en un actor fundamental del debate y de la vida política, social, cultural de las democracias occidentales. Cuando acaba la Segunda Guerra Mundial, la televisión participa a la difusión de los ideales democráticos. Entre 1945 y 1980, el mundo audiovisual tiende a escapar al control del Estado. Una nueva televisión nace en ese momento.Between the thirties and the eighties, television was transformed into an essential actor on the political, social and cultural scene of Western democracies. At the end of World War II, television started to be associated with the expression of the democratic ideals of society. Between 1945 and 1980, throughout several stages, the audiovisual gradually escaped State control. A new television was born.

  3. Prediction of event-based stormwater runoff quantity and quality by ANNs developed using PMI-based input selection

    Science.gov (United States)

    He, Jianxun; Valeo, Caterina; Chu, Angus; Neumann, Norman F.

    2011-03-01

    SummaryEvent-based stormwater runoff quantity and quality modeling remains a challenge since the processes of rainfall induced pollutant discharge are not completely understood. The complexity of physically-based models often limits the practical use of quality models in practice. Artificial neural networks (ANNs) are a data driven modeling approach that can avoid the necessity of fully understanding complex physical processes. In this paper, feed-forward multi-layer perceptron (MLP) network, a popular type of ANN, was applied to predict stormwater runoff quantity and quality including turbidity, specific conductance, water temperature, pH, and dissolved oxygen (DO) in storm events. A recently proposed input selection algorithm based on partial mutual information (PMI), which identifies input variables in a stepwise manner, was employed to select input variable sets for the development of ANNs. The ANNs developed via this approach could produce satisfactory prediction of event-based stormwater runoff quantity and quality. In particular, this approach demonstrated a superior performance over the approach involving ANNs fed by inputs selected using partial correlation and all potential inputs in flow modeling. This result suggests the applicability of PMI in developing ANN models. In addition, the ANN for flow outperformed conventional multiple linear regression (MLR) and multiple nonlinear regression (MNLR) models. For an ANN development of turbidity (multiplied by flow rate) and specific conductance, significant improvement was achieved by including a previous 3-week total rainfall amount into their input variable sets. This antecedent rainfall variable is considered a factor in the availability of land surface pollutants for wash-off. A sensitivity analysis demonstrated the potential role of this rainfall variable on modeling particulate solids and dissolved matters in stormwater runoff.

  4. Rimbaud’s influence on Jayne Anne Phillips: from Sweethearts to Shelter

    Directory of Open Access Journals (Sweden)

    Stéphanie Durrans

    2012-06-01

    Full Text Available Arthur Rimbaud emerges from Jayne Anne Phillips���s essays as a continual source of fascination. This paper explores the patterns of convergence that unite these two writers one century apart while aiming to provide a deeper and more meaningful appreciation of Phillips’ accomplishments in Shelter. It focuses on Rimbaud’s and Phillips’ conception of language and their emphasis on "visionary writing", before investigating the significance of such patterns on Shelter and exploring the stylistic affinities linking their respective works. In the end, linguistic deconstruction and regeneration appears as one of the ways in which both writers seek to express the hidden traumas of a society in the grips of violence.A en juger par les quelques essais de Jayne Anne Phillips dans lesquels il est mentionné, Arthur Rimbaud semble avoir exercé une véritable fascination sur la jeune nouvelliste et romancière américaine au moins jusque dans les années 1990. Cet article explore la filiation littéraire entre deux auteurs mus par un même souci de renouveler la langue par l’élaboration d’une « écriture visionnaire », à rebours des cadres normatifs et de toute pensée logique. A ce titre, le roman Shelter (1994 apparaît comme l’hommage le plus appuyé rendu par Phillips au poète français, notamment par le double processus de déconstruction et de régénération linguistique qui permet à son auteur d’exprimer les traumatismes individuels et collectifs d’une société hantée par la violence.

  5. High-Resolution Geologic Mapping of the Inner Continental Shelf: Cape Ann to Salisbury Beach, Massachusetts

    Science.gov (United States)

    Barnhardt, Walter A.; Andrews, Brian D.; Ackerman, Seth D.; Baldwin, Wayne E.; Hein, Christopher J.

    2009-01-01

    The geologic framework of the Massachusetts inner continental shelf between Cape Ann and Salisbury Beach has been shaped by a complicated history of glaciation, deglaciation, and changes in relative sea level. New geophysical data (swath bathymetry, sidescan sonar and seismic-reflection profiling), sediment samples, and seafloor photography provide insight into the geomorphic and stratigraphic record generated by these processes. High-resolution spatial data and geologic maps in this report support coastal research and efforts to understand the type, distribution, and quality of subtidal marine habitats in the Massachusetts coastal ocean.

  6. Runaway Classicists: Anne Carson and Alice Munro’s “Juliet” Stories

    OpenAIRE

    Rae, Ian

    2014-01-01

    Cet article examine les affinités entre le personnage de Juliet et la poétesse Anne Carson pour suggérer que l’intérêt que Munro porte à sa personne et à son œuvre est réinvesti dans la création d’un personnage de fiction. Il ne s’agit pas de lire la fiction de Munro sous l’angle de la biographie mais de réconcilier la lecture contextuelle et l’analyse littéraire.

  7. A contribuição de Ann Sharp: uma conversa com Matthew Lipman

    OpenAIRE

    Kennedy, David Knowles; Montclair State University

    2010-01-01

    A recente morte de Ann Sharp, co-fundadora e diretora associada do Instituto para o Desenvolvimento da Filosofia para Crianças, aos 68 anos de idade, deixou muitos dos comprometidos com o movimento de filosofia para/com crianças despojados, sem dúvida de diferentes formas. A afetividade e a intensidade de sua dedicação pessoal e profissional, a claridade de seu pensamento e sua ilimitada energia no trabalho pela disseminação da concepção e prática do filosofar com crianças ressoa ainda mais ...

  8. The Short Fiction of Bobbie Ann Mason: Silent Voices, Silenced Voices, Voicing Silence.

    OpenAIRE

    Delgado Marín, Candela

    2015-01-01

    La presente tesis doctoral se enmarca dentro del campo de los estudios norteamericanos, centrándose en el relato breve de la escritora sureña Bobbie Ann Mason. El título de este proyecto apunta al foco de la investigación: el silencio. He utilizado tres puntos de vista diferentes para examinar los cuentos de esta escritora: el contexto socio-cultural, estudios comparativos literarios y teóricos y, por último, el análisis textual de su narrativa. Considero la producción literaria de Bobbie ...

  9. Autour des critiques du concept de sexe. Entretien avec Anne Fausto-Sterling

    OpenAIRE

    Fausto-Sterling, Anne; Touraille, Priscille

    2015-01-01

    Ce dialogue entre Anne Fausto-Sterling, professeure émérite de biologie et d’études sur le genre à Brown University (Providence, Rhode Island) et Priscille Touraille, anthropologue au CNRS (laboratoire éco-anthropologie et ethnobiologie du Muséum national d’histoire naturelle, Paris) revient sur les questions essentielles de la confrontation entre deux épistémologies disciplinaires, celle des études sur le genre et celle qui ont cours en biologie. Sur la base des travaux développés depuis les...

  10. Fact and fiction: subverting orientalism in Ann Bridge's The dark moment

    Directory of Open Access Journals (Sweden)

    Isil Bas

    2013-12-01

    Full Text Available While postcolonial criticism has extensively traced the Western women writers's accounts of the Orient, Ann Bridge's contribution to the genre remained unheard-of. In The Dark Moment she tells the story of the foundation of the Turkish republic after the struggle against Western imperialism, a theme highly controversial for a British diplomat's wife. Moreover, she plays with the conventions and representational strategies of traditional Orientalist narratives inverting each in turn to create an unprejudiced awareness of the historical context and the social and cultural specificities of Turkey and the Turk thereby foregrounding dialogical transculturality over intercultural penetration.

  11. ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms

    DEFF Research Database (Denmark)

    Aumüller, Martin; Bernhardsson, Erik; Faithfull, Alexander

    2017-01-01

    This paper describes ANN-Benchmarks, a tool for evaluating the performance of in-memory approximate nearest neighbor algorithms. It provides a standard interface for measuring the performance and quality achieved by nearest neighbor algorithms on different standard data sets. It supports several...... for their similarity search task; in the longer term, algorithm designers will be able to use this overview to test and refine automatic parameter tuning. The paper gives an overview of the system, evaluates the results of the benchmark, and points out directions for future work. Interestingly, very different...

  12. “Emotions, Media and Political Campaign” by Professor Ann Crigler

    OpenAIRE

    Ricaud, Raphaël; Lechaux, Bleuwenn

    2012-01-01

    Ann Crigler, Professor of Political Science and Chair at the University of Southern California’s Dornsife College of Letters, Arts and Sciences, came to Paris VIII’s LabTop final 2010/2011 seminar on June 27, 2011, for a lecture entitled “Emotions, Media and Political Campaign”. She started out by insisting that the sum of the data and original findings she was presenting us with was a collaborative piece. Professor Crigler, two of her colleagues (Matthew Baum, from Harvard University and Mar...

  13. Accidents du travail et mesures de prévention - Année 2004

    CERN Document Server

    Avedian, E

    2005-01-01

    Ce rapport présente les statistiques relatives aux accidents du travail pour l’année 2004 pour les membres du personnel CERN et du personnel entreprise. Il fournit les taux de fréquence et de gravité, la répartition des accidents par cause et par lésion. Ce rapport présente également une synthèse de l’analyse des accidents les plus graves et des recommandations associées.

  14. Accidents du travail et mesures de prévention Année 2003

    CERN Document Server

    Kerhoas, A

    2004-01-01

    Ce rapport présente les statistiques relatives aux accidents du travail pour l’année 2003 pour les membres du personnel CERN et du personnel entreprise. Il fournit les taux de fréquence et de gravité, la répartition des accidents par cause et par lésion. Ce rapport présente également une synthèse de l’analyse des accidents les plus graves et des recommandations associées.

  15. Accidents du travail et mesures de prévention -Année 2006

    CERN Document Server

    Fassnacht, Véronique

    2007-01-01

    Ce rapport présente les statistiques relatives aux accidents du travail pour l’année 2006 pour les membres du personnel CERN et du personnel entreprise. Il fournit les taux de fréquence et de gravité, la répartition des accidents par cause et par lésion. Ce rapport présente également une synthèse de l’analyse des accidents les plus graves et des recommandations associées.

  16. SU-E-T-206: Improving Radiotherapy Toxicity Based On Artificial Neural Network (ANN) for Head and Neck Cancer Patients

    Energy Technology Data Exchange (ETDEWEB)

    Cho, Daniel D; Wernicke, A Gabriella; Nori, Dattatreyudu; Chao, KSC; Parashar, Bhupesh; Chang, Jenghwa [Weill Cornell Medical College, NY, NY (United States)

    2014-06-01

    Purpose/Objective(s): The aim of this study is to build the estimator of toxicity using artificial neural network (ANN) for head and neck cancer patients Materials/Methods: An ANN can combine variables into a predictive model during training and considered all possible correlations of variables. We constructed an ANN based on the data from 73 patients with advanced H and N cancer treated with external beam radiotherapy and/or chemotherapy at our institution. For the toxicity estimator we defined input data including age, sex, site, stage, pathology, status of chemo, technique of external beam radiation therapy (EBRT), length of treatment, dose of EBRT, status of post operation, length of follow-up, the status of local recurrences and distant metastasis. These data were digitized based on the significance and fed to the ANN as input nodes. We used 20 hidden nodes (for the 13 input nodes) to take care of the correlations of input nodes. For training ANN, we divided data into three subsets such as training set, validation set and test set. Finally, we built the estimator for the toxicity from ANN output. Results: We used 13 input variables including the status of local recurrences and distant metastasis and 20 hidden nodes for correlations. 59 patients for training set, 7 patients for validation set and 7 patients for test set and fed the inputs to Matlab neural network fitting tool. We trained the data within 15% of errors of outcome. In the end we have the toxicity estimation with 74% of accuracy. Conclusion: We proved in principle that ANN can be a very useful tool for predicting the RT outcomes for high risk H and N patients. Currently we are improving the results using cross validation.

  17. Estimation of Optimum Dilution in the GMAW Process Using Integrated ANN-GA

    Directory of Open Access Journals (Sweden)

    P. Sreeraj

    2013-01-01

    Full Text Available To improve the corrosion resistant properties of carbon steel, usually cladding process is used. It is a process of depositing a thick layer of corrosion resistant material over carbon steel plate. Most of the engineering applications require high strength and corrosion resistant materials for long-term reliability and performance. By cladding these properties can be achieved with minimum cost. The main problem faced on cladding is the selection of optimum combinations of process parameters for achieving quality clad and hence good clad bead geometry. This paper highlights an experimental study to optimize various input process parameters (welding current, welding speed, gun angle, and contact tip to work distance and pinch to get optimum dilution in stainless steel cladding of low carbon structural steel plates using gas metal arc welding (GMAW. Experiments were conducted based on central composite rotatable design with full replication technique, and mathematical models were developed using multiple regression method. The developed models have been checked for adequacy and significance. In this study, artificial neural network (ANN and genetic algorithm (GA techniques were integrated and labeled as integrated ANN-GA to estimate optimal process parameters in GMAW to get optimum dilution.

  18. Experimental Study and ANN Dual-Time Scale Perturbation Model of Electrokinetic Properties of Microbiota.

    Science.gov (United States)

    Liu, Yong; Munteanu, Cristian R; Fernandez-Lozano, Carlos; Pazos, Alejandro; Ran, Tao; Tan, Zhiliang; Yu, Yizun; Zhou, Chuanshe; Tang, Shaoxun; González-Díaz, Humberto

    2017-01-01

    The electrokinetic properties of the rumen microbiota are involved in cell surface adhesion and microbial metabolism. An in vitro study was carried out in batch culture to determine the effects of three levels of special surface area (SSA) of biomaterials and four levels of surface tension (ST) of culture medium on electrokinetic properties (Zeta potential, ξ; electrokinetic mobility, μe), fermentation parameters (volatile fatty acids, VFAs), and ST over fermentation processes (ST-a, γ). The obtained results were combined with previously published data (digestibility, D; pH; concentration of ammonia nitrogen, c(NH3-N)) to establish a predictive artificial neural network (ANN) model. Concepts of dual-time series analysis, perturbation theory (PT), and Box-Jenkins Operators were applied for the first time to develop an ANN model to predict the variations of the electrokinetic properties of microbiota. The best dual-time series Radial Basis Functions (RBR) model for ξ of rumen microbiota predicted ξ for >30,000 cases with a correlation coefficient >0.8. This model provided insight into the correlations between electrokinetic property (zeta potential) of rumen microbiota and the perturbations of physical factors (specific surface area and surface tension) of media, digestibility of substrate, and their metabolites (NH3-N, VFAs) in relation to environmental factors.

  19. Experimental Study and ANN Dual-Time Scale Perturbation Model of Electrokinetic Properties of Microbiota

    Directory of Open Access Journals (Sweden)

    Yong Liu

    2017-06-01

    Full Text Available The electrokinetic properties of the rumen microbiota are involved in cell surface adhesion and microbial metabolism. An in vitro study was carried out in batch culture to determine the effects of three levels of special surface area (SSA of biomaterials and four levels of surface tension (ST of culture medium on electrokinetic properties (Zeta potential, ξ; electrokinetic mobility, μe, fermentation parameters (volatile fatty acids, VFAs, and ST over fermentation processes (ST-a, γ. The obtained results were combined with previously published data (digestibility, D; pH; concentration of ammonia nitrogen, c(NH3-N to establish a predictive artificial neural network (ANN model. Concepts of dual-time series analysis, perturbation theory (PT, and Box-Jenkins Operators were applied for the first time to develop an ANN model to predict the variations of the electrokinetic properties of microbiota. The best dual-time series Radial Basis Functions (RBR model for ξ of rumen microbiota predicted ξ for >30,000 cases with a correlation coefficient >0.8. This model provided insight into the correlations between electrokinetic property (zeta potential of rumen microbiota and the perturbations of physical factors (specific surface area and surface tension of media, digestibility of substrate, and their metabolites (NH3-N, VFAs in relation to environmental factors.

  20. Wives, love and animals: themes in the Poetry of Adrienne Rich and Carol Ann Duffy

    Directory of Open Access Journals (Sweden)

    Eleonora Rao

    2013-10-01

    Full Text Available This paper discusses firstly, the  poetical space of celebrated American poet Adrienne Rich who died in March 2012, at the age of 82. The analysis focuses on Rich’s complex  figurations of female subjectivity as well as on her nuanced positions in relation to the public role of the poet today. Rich’s attention to the political dimension did not exclude intimate reflections on personal relationships and on their modalities. In this respect her poetry is close to another important lesbian author, the poet laureate Coral Ann Duffy. In The World’s Wife (1999, Carol Ann Duffy presents thirty sketches of famed men from both history and mythology by their wives. Each wife extols or criticizes her own husband in a combination of sarcasm and sentimentalism, with peaks of  extreme bitterness and self-pity. Such singular and irreverent feminine versions show a series of references to the animal world. As a matter of fact, Duffy creates a downright vast and varied bestiary, which focuses on the problematic association between the female and the animal body. The aim of this essay is to explore the multiple possibilities of representation and placement of the human body in the space, through the lenses of ecocriticism and posthumanism.

  1. EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN

    Directory of Open Access Journals (Sweden)

    Ridha Djemal

    2017-01-01

    Full Text Available Autism spectrum disorder (ASD is a type of neurodevelopmental disorder with core impairments in the social relationships, communication, imagination, or flexibility of thought and restricted repertoire of activity and interest. In this work, a new computer aided diagnosis (CAD of autism ‎based on electroencephalography (EEG signal analysis is investigated. The proposed method is based on discrete wavelet transform (DWT, entropy (En, and artificial neural network (ANN. DWT is used to decompose EEG signals into approximation and details coefficients to obtain EEG subbands. The feature vector is constructed by computing Shannon entropy values from each EEG subband. ANN classifies the corresponding EEG signal into normal or autistic based on the extracted features. The experimental results show the effectiveness of the proposed method for assisting autism diagnosis. A receiver operating characteristic (ROC curve metric is used to quantify the performance of the proposed method. The proposed method obtained promising results tested using real dataset provided by King Abdulaziz Hospital, Jeddah, Saudi Arabia.

  2. Tribological behaviour predictions of r-GO reinforced Mg composite using ANN coupled Taguchi approach

    Science.gov (United States)

    Kavimani, V.; Prakash, K. Soorya

    2017-11-01

    This paper deals with the fabrication of reduced graphene oxide (r-GO) reinforced Magnesium Metal Matrix Composite (MMC) through a novel solvent based powder metallurgy route. Investigations over basic and functional properties of developed MMC reveals that addition of r-GO improvises the microhardness upto 64 HV but however decrement in specific wear rate is also notified. Visualization of worn out surfaces through SEM images clearly explains for the occurrence of plastic deformation and the presence of wear debris because of ploughing out action. Taguchi coupled Artificial Neural Network (ANN) technique is adopted to arrive at optimal values of the input parameters such as load, reinforcement weight percentage, sliding distance and sliding velocity and thereby achieve minimal target output value viz. specific wear rate. Influence of any of the input parameter over specific wear rate studied through ANOVA reveals that load acting on pin has a major influence with 38.85% followed by r-GO wt. % of 25.82%. ANN model developed to predict specific wear rate value based on the variation of input parameter facilitates better predictability with R-value of 98.4% when compared with the outcomes of regression model.

  3. Elemental Study on Auscultaiting Diagnosis Support System of Hemodialysis Shunt Stenosis by ANN

    Science.gov (United States)

    Suzuki, Yutaka; Fukasawa, Mizuya; Mori, Takahiro; Sakata, Osamu; Hattori, Asobu; Kato, Takaya

    It is desired to detect stenosis at an early stage to use hemodailysis shunt for longer time. Stethoscope auscultation of vascular murmurs is useful noninvasive diagnostic approach, but an experienced expert operator is necessary. Some experts often say that the high-pitch murmurs exist if the shunt becomes stenosed, and some studies report that there are some features detected at high frequency by time-frequency analysis. However, some of the murmurs are difficult to detect, and the final judgment is difficult. This study proposes a new diagnosis support system to screen stenosis by using vascular murmurs. The system is performed using artificial neural networks (ANN) with the analyzed frequency data by maximum entropy method (MEM). The author recorded vascular murmurs both before percutaneous transluminal angioplasty (PTA) and after. Examining the MEM spectral characteristics of the high-pitch stenosis murmurs, three features could be classified, which covered 85 percent of stenosis vascular murmurs. The features were learnt by the ANN, and judged. As a result, a percentage of judging the classified stenosis murmurs was 100%, and that of normal was 86%.

  4. Spent wash decolourization using nano-Al2O3/kaolin photocatalyst: Taguchi and ANN approach

    Directory of Open Access Journals (Sweden)

    Charles David

    2015-09-01

    Full Text Available The intense colour of the spent wash effluent leads to crucial ecological issue when released untreated into the environment. The decolourization of distillery spent wash effluent is known to be a very challenging task. In this study, the degradation of organic pollutants in the form of colour was performed using nano photocatalyst prepared using aluminium oxide (Al2O3 nanoparticle and kaolin clay. As-synthesized nano-Al2O3/kaolin composites were used as photocatalyst for colour degradation of spent wash effluent. The process parameters such as dosage, pH, temperature and agitation were optimized to attain the maximum decolourization efficiency. The structural and the textural characteristics of the photocatalyst were analysed by X-ray diffraction (XRD, Brunauer–Emmett–Teller (BET surface area analysis, High Resolution Scanning Electron Microscope (HRSEM and Energy Dispersive X-ray (EDAX. Optimization of the process parameters using Taguchi Orthogonal Array (OA design resulted in a maximum of 80% spent wash decolourization. Using Artificial Neural Network (ANN, a two layered feedforward backpropagation model resulted as the best performance and predictive model for spent wash decolourization. The experimental data were found to be in excellent agreement with the predicted results from the ANN model.

  5. Performance measurement of plate fin heat exchanger by exploration: ANN, ANFIS, GA, and SA

    Directory of Open Access Journals (Sweden)

    A.K. Gupta

    2017-01-01

    Full Text Available An experimental work is conducted on counter flow plate fin compact heat exchanger using offset strip fin under different mass flow rates. The training, testing, and validation set of data has been collected by conducting experiments. Next, artificial neural network merged with Genetic Algorithm (GA utilized to measure the performance of plate-fin compact heat exchanger. The main aim of present research is to measure the performance of plate-fin compact heat exchanger and to provide full explanations. An artificial neural network predicted simulated data, which verified with experimental data under 10–20% error. Then, the authors examined two well-known global search techniques, simulated annealing and the genetic algorithm. The proposed genetic algorithm and Simulated Annealing (SA results have been summarized. The parameters are impartially important for good results. With the emergence of a new data-driven modeling technique, Neuro-fuzzy based systems are established in academic and practical applications. The neuro-fuzzy interference system (ANFIS has also been examined to undertake the problem related to plate-fin heat exchanger performance measurement under various parameters. Moreover, Parallel with ANFIS model and Artificial Neural Network (ANN model has been created with emphasizing the accuracy of the different techniques. A wide range of statistical indicators used to assess the performance of the models. Based on the comparison, it was revealed that technical ANFIS improve the accuracy of estimates in the small pool and tropical ANN.

  6. Parametric Analyses on Compressive Strength of Furan No Bake Mould System Using ANN

    Directory of Open Access Journals (Sweden)

    Acharya S.G.

    2016-12-01

    Full Text Available Casting is the most widely used manufacturing technique. Furan No-bake mould system is very widely accepted in competitive foundry industries due to its excellent characteristics of producing heavy and extremely difficult castings. These castings have excellent surface finish and high dimensional stability. Self setting and high dimensional stability are the key characteristics of FNB mould system which leads to reduce production cycle time for foundry industries which will ultimately save machining cost, labour cost and energy. Compressive strength is the main aspect of furan no bake mould, which can be improved by analyzing the effect of various parameters on it. ANN is a useful technique for determining the relation of various parameters like Grain Fineness Number, Loss on Ignition, pH, % resin and temperature of sand with compressive strength of the FNB mould. Matlab version: R2015a version 8.3 software with ANN tool box can be used to gain output of relation. This paper deals with the representation of relationship of various parameters affecting on the compressive strength of FNB mould.

  7. Accidents du travail et mesures de prévention Année 2002

    CERN Document Server

    Kerhoas, A; Paulat, E; Orry, G

    2003-01-01

    Ce rapport présente les statistiques relatives aux accidents du travail pour l’année 2002 pour les membres du personnel CERN et les entreprises. Il fournit également des analyses et recommandations relatives à l’ensemble des accidents et met en évidence l’évolution des taux de fréquence et de gravité, la répartition des accidents par cause et par lésion. Ce rapport montre aussi des résumés de rapports d’enquête d’accidents. Pour le personnel CERN, le taux de gravité poursuit une diminution notable Tg (-59%) et Tg (-66%) des accidents hors trajet. Pour le personnel des entreprises hors projet LHC, on constate une diminution des taux de fréquence Tf (-48%) et gravité Tg (-39%) qui étaient en légère hausse l’année dernière. De plus, il n’y a eu aucun accident de trajet avec arrêt en 2002. Pour le personnel LHC génie civil, les résultats poursuivent leur amélioration à la fois sur le plan fréquence des accidents (-30%) et sur le plan gravité (-51% ). Par contre, pour le p...

  8. Forecasting currency circulation data of Bank Indonesia by using hybrid ARIMAX-ANN model

    Science.gov (United States)

    Prayoga, I. Gede Surya Adi; Suhartono, Rahayu, Santi Puteri

    2017-05-01

    The purpose of this study is to forecast currency inflow and outflow data of Bank Indonesia. Currency circulation in Indonesia is highly influenced by the presence of Eid al-Fitr. One way to forecast the data with Eid al-Fitr effect is using autoregressive integrated moving average with exogenous input (ARIMAX) model. However, ARIMAX is a linear model, which cannot handle nonlinear correlation structures of the data. In the field of forecasting, inaccurate predictions can be considered caused by the existence of nonlinear components that are uncaptured by the model. In this paper, we propose a hybrid model of ARIMAX and artificial neural networks (ANN) that can handle both linear and nonlinear correlation. This method was applied for 46 series of currency inflow and 46 series of currency outflow. The results showed that based on out-of-sample root mean squared error (RMSE), the hybrid models are up to10.26 and 10.65 percent better than ARIMAX for inflow and outflow series, respectively. It means that ANN performs well in modeling nonlinear correlation of the data and can increase the accuracy of linear model.

  9. Artificial Neural Network (ANN) Model to Predict Depression among Geriatric Population at a Slum in Kolkata, India.

    Science.gov (United States)

    Sau, Arkaprabha; Bhakta, Ishita

    2017-05-01

    Depression is one of the most important causes of mortality and morbidity among the geriatric population. Although, the aging brain is more vulnerable to depression, it cannot be considered as physiological and an inevitable part of ageing. Various sociodemographic and morbidity factors are responsible for the depression among them. Using Artificial Neural Network (ANN) model depression can be predicted from various sociodemographic variables and co morbid conditions even at community level by the grass root level health care workers. To predict depression among geriatric population from sociodemographic and morbidity attributes using ANN. An observational descriptive study with cross-sectional design was carried out at a slum under the service area of Bagbazar Urban Health and Training Centre (UHTC) in Kolkata. Among 126 elderlies under Bagbazar UHTC, 105 were interviewed using predesigned and pretested schedule. Depression status was assessed using 30 item Geriatric Depression Scale. WEKA 3.8.0 was used to develop the ANN model and test its performance. Prevalence of depression among the study population was 45.7%. Various sociodemographic variables like age, gender, literacy, living spouse, working status, personal income, family type, substance abuse and co morbid conditions like visual problem, mobility problem, hearing problem and sleeping problem were taken into consideration to develop the model. Prediction accuracy of this ANN model was 97.2%. Depression among geriatric population can be predicted accurately using ANN model from sociodemographic and morbidity attributes.

  10. Artificial neural network (ANN velocity better identifies benign prostatic hyperplasia but not prostate cancer compared with PSA velocity

    Directory of Open Access Journals (Sweden)

    Lein Michael

    2008-09-01

    Full Text Available Abstract Background To validate an artificial neural network (ANN based on the combination of PSA velocity (PSAV with a %free PSA-based ANN to enhance the discrimination between prostate cancer (PCa and benign prostate hyperplasia (BPH. Methods The study comprised 199 patients with PCa (n = 49 or BPH (n = 150 with at least three PSA estimations and a minimum of three months intervals between the measurements. Patients were classified into three categories according to PSAV and ANN velocity (ANNV calculated with the %free based ANN "ProstataClass". Group 1 includes the increasing PSA and ANN values, Group 2 the stable values, and Group 3 the decreasing values. Results 71% of PCa patients typically have an increasing PSAV. In comparison, the ANNV only shows this in 45% of all PCa patients. However, BPH patients benefit from ANNV since the stable values are significantly more (83% vs. 65% and increasing values are less frequently (11% vs. 21% if the ANNV is used instead of the PSAV. Conclusion PSAV has only limited usefulness for the detection of PCa with only 71% increasing PSA values, while 29% of all PCa do not have the typical PSAV. The ANNV cannot improve the PCa detection rate but may save 11–17% of unnecessary prostate biopsies in known BPH patients.

  11. A calcium-binding protein, rice annexin OsANN1, enhances heat stress tolerance by modulating the production of H2O2.

    Science.gov (United States)

    Qiao, Bei; Zhang, Qian; Liu, Dongliang; Wang, Haiqi; Yin, Jingya; Wang, Rui; He, Mengli; Cui, Meng; Shang, Zhonglin; Wang, Dekai; Zhu, Zhengge

    2015-09-01

    OsANN1 is a member of the annexin protein family in rice. The function of this protein and the mechanisms of its involvement in stress responses and stress tolerance are largely unknown. Here it is reported that OsANN1 confers abiotic stress tolerance by modulating antioxidant accumulation under abiotic stress. OsANN1-knockdown [RNA interference (RNAi)] plants were more sensitive to heat and drought stresses, whereas OsANN1-overexpression (OE) lines showed improved growth with higher expression of OsANN1 under abiotic stress. Overexpression of OsANN1 promoted SOD (superoxide dismutase) and CAT (catalase) activities, which regulate H2O2 content and redox homeostasis, suggesting the existence of a feedback mechanism between OsANN1 and H2O2 production under abiotic stress. Higher expression of OsANN1 can provide overall cellular protection against abiotic stress-induced damage, and a significant accumulation of OsANN1-green fluorescent protein (GFP) signals was found in the cytosol after heat shock treatment. OsANN1 also has calcium-binding and ATPase activities in vitro, indicating that OsANN1 has multiple functions in rice growth. Furthermore, yeast two-hybrid and bimolecular fluorescence complementation (BiFC) assays demonstrated that OsANN1 interacts with OsCDPK24. This cross-talk may provide additional layers of regulation in the abiotic stress response. © The Author 2015. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

  12. Wavelets Application in Prediction of Friction Stir Welding Parameters of Alloy Joints from Vibroacoustic ANN-Based Model

    Directory of Open Access Journals (Sweden)

    Emilio Jiménez-Macías

    2014-01-01

    Full Text Available This paper analyses the correlation between the acoustic emission signals and the main parameters of friction stir welding process based on artificial neural networks (ANNs. The acoustic emission signals in Z and Y directions have been acquired by the AE instrument NI USB-9234. Statistical and temporal parameters of discomposed acoustic emission signals using Wavelet Transform have been used as input of the ANN. The outputs of the ANN model include the parameters of tool rotation speed and travel speed, and tool profile, as well as the tensile strength. A multilayer feed-forward neural network has been selected and trained, using Levenberg-Marquardt algorithm for different network architectures. Finally, an analysis of the comparison between the measured and the calculated data is presented. The model obtained can be used to model and develop an automatic control of the parameters of the process and mechanical properties of joint, based on the acoustic emission signals.

  13. Wavelet transform-based artificial neural networks (WT-ANN) in PM10 pollution level estimation, based on circular variables.

    Science.gov (United States)

    Shekarrizfard, Maryam; Karimi-Jashni, A; Hadad, K

    2012-01-01

    In this paper, a novel method in the estimation and prediction of PM(10) is introduced using wavelet transform-based artificial neural networks (WT-ANN). First, the application of wavelet transform, selected for its temporal shift properties and multiresolution analysis characteristics enabling it to reduce disturbing perturbations in input training set data, is presented. Afterward, the circular statistical indices which are used in this method are formally introduced in order to investigate the relation between PM(10) levels and circular meteorological variables. Then, the results of the simulation of PM(10) based on WT-ANN by use of MATLAB software are discussed. The results of the above-mentioned simulation show an enhanced accuracy and speed in PM(10) estimation/prediction and a high degree of robustness compared with traditional ANN models.

  14. Passenger Flows Estimation of Light Rail Transit (LRT System in Izmir, Turkey Using Multiple Regression and ANN Methods

    Directory of Open Access Journals (Sweden)

    Mustafa Özuysal

    2012-01-01

    Full Text Available Passenger flow estimation of transit systems is essential for new decisions about additional facilities and feeder lines. For increasing the efficiency of an existing transit line, stations which are insufficient for trip production and attraction should be examined first. Such investigation supports decisions for feeder line projects which may seem necessary or futile according to the findings. In this study, passenger flow of a light rail transit (LRT system in Izmir, Turkey is estimated by using multiple regression and feed-forward back-propagation type of artificial neural networks (ANN. The number of alighting passengers at each station is estimated as a function of boarding passengers from other stations. It is found that ANN approach produced significantly better estimations specifically for the low passenger attractive stations. In addition, ANN is found to be more capable for the determination of trip-attractive parts of LRT lines.   Keywords: light rail transit, multiple regression, artificial neural networks, public transportation

  15. Strategic planning for minimizing CO2 emissions using LP model based on forecasted energy demand by PSO Algorithm and ANN

    Energy Technology Data Exchange (ETDEWEB)

    Yousefi, M.; Omid, M.; Rafiee, Sh. [Department of Agricultural Machinery Engineering, University of Tehran, Karaj (Iran, Islamic Republic of); Ghaderi, S.F. [Department of Industrial Engineering, University of Tehran, Tehran (Iran, Islamic Republic of)

    2013-07-01

    Iran's primary energy consumption (PEC) was modeled as a linear function of five socioeconomic and meteorological explanatory variables using particle swarm optimization (PSO) and artificial neural networks (ANNs) techniques. Results revealed that ANN outperforms PSO model to predict test data. However, PSO technique is simple and provided us with a closed form expression to forecast PEC. Energy demand was forecasted by PSO and ANN using represented scenario. Finally, adapting about 10% renewable energy revealed that based on the developed linear programming (LP) model under minimum CO2 emissions, Iran will emit about 2520 million metric tons CO2 in 2025. The LP model indicated that maximum possible development of hydropower, geothermal and wind energy resources will satisfy the aim of minimization of CO2 emissions. Therefore, the main strategic policy in order to reduce CO2 emissions would be exploitation of these resources.

  16. Application of ANN and PCA to two-phase flow evaluation using radioisotopes

    Directory of Open Access Journals (Sweden)

    Hanus Robert

    2017-01-01

    Full Text Available In the two-phase flow measurements a method involving the absorption of gamma radiation can be applied among others. Analysis of the signals from the scintillation probes can be used to determine the number of flow parameters and to recognize flow structure. Three types of flow regimes as plug, bubble, and transitional plug – bubble flows were considered in this work. The article shows how features of the signals in the time and frequency domain can be used to build the artificial neural network (ANN to recognize the structure of the gas-liquid flow in a horizontal pipeline. In order to reduce the number of signal features the principal component analysis (PCA was used. It was found that the reduction of signals features allows for building a network with better performance.

  17. CUDA-accelerated genetic feedforward-ANN training for data mining

    Energy Technology Data Exchange (ETDEWEB)

    Patulea, Catalin; Peace, Robert; Green, James, E-mail: cpatulea@sce.carleton.ca, E-mail: rpeace@sce.carleton.ca, E-mail: jrgreen@sce.carleton.ca [School of Systems and Computer Engineering, Carleton University, Ottawa, K1S 5B6 (Canada)

    2010-11-01

    We present an implementation of genetic algorithm (GA) training of feedforward artificial neural networks (ANNs) targeting commodity graphics cards (GPUs). By carefully mapping the problem onto the unique GPU architecture, we achieve order-of-magnitude speedup over a conventional CPU implementation. Furthermore, we show that the speedup is consistent across a wide range of data set sizes, making this implementation ideal for large data sets. This performance boost enables the genetic algorithm to search a larger subset of the solution space, which results in more accurate pattern classification. Finally, we demonstrate this method in the context of the 2009 UC San Diego Data Mining Contest, achieving a world-class lift on a data set of 94682 e-commerce transactions.

  18. The heart of Blessed Anne-Madeleine Remuzat: a biomedical approach of "miraculous" heart conservation.

    Science.gov (United States)

    Charlier, Philippe; Huynh-Charlier, Isabelle; Poupon, Joël; Fox, Carles Lalueza; Keyser, Christine; Mougniot, Christian; Popescu, Spéranta-Maria; Brun, Luc; Pietri, Sylvia; Thévenard, Frédéric; Laquay, Laëtitia; Hurel, Agathe; Ellul, Jean-Pierre; Hervé, Christian

    2014-01-01

    We present here the results of our inter-disciplinary examination of the mummified heart of Blessed Anne-Madeleine Remuzat (1696-1730). This organ has been examined in the context of a canonization process. This analysis is related to important aspects of the early history of anatomy in Europe, that of "Holy autopsies", and to the relationship between anatomical investigations, Catholic theology, and religious/medical customs. According to anatomical, genetic, toxicological, and palynological analyses, it has been shown that this organ has not been naturally ("miraculously") conserved but embalmed using myrtle, honey, and lime. Moreover, a right ventricle dilatation has been diagnosed, that may represent a post-tuberculosis condition and may have played a role in the cause of death of this religious figure. Copyright © 2014 Elsevier Inc. All rights reserved.

  19. Artificial neural networks (ANN: prediction of sensory measurements from instrumental data

    Directory of Open Access Journals (Sweden)

    Naiara Barbosa Carvalho

    2013-12-01

    Full Text Available The objective of this study was to predict by means of Artificial Neural Network (ANN, multilayer perceptrons, the texture attributes of light cheesecurds perceived by trained judges based on instrumental texture measurements. Inputs to the network were the instrumental texture measurements of light cheesecurd (imitative and fundamental parameters. Output variables were the sensory attributes consistency and spreadability. Nine light cheesecurd formulations composed of different combinations of fat and water were evaluated. The measurements obtained by the instrumental and sensory analyses of these formulations constituted the data set used for training and validation of the network. Network training was performed using a back-propagation algorithm. The network architecture selected was composed of 8-3-9-2 neurons in its layers, which quickly and accurately predicted the sensory texture attributes studied, showing a high correlation between the predicted and experimental values for the validation data set and excellent generalization ability, with a validation RMSE of 0.0506.

  20. Seismic fragility analysis for geostructures using ANN-based response surface

    Science.gov (United States)

    Park, N. S.; Cho, S. E.

    2016-12-01

    Seismic fragility curve is an effective tool to predict the degree of damages to the structure probabilistically under seismic load. When the seismic fragility curve is to be prepared in general structures such as bridges or concrete structures, the seismic load is put as the random variable and then the fragility curve is established. However, in the case of the geostructures such as the cut slope and soil levee, there are uncertainties in the related geotechnical parameters. Therefore, they should be interpreted by considering the uncertainties. In this study, seismic fragility curves for levee and slope were prepared considering the uncertainty in the geotechnical parameter and using the pseudostatic analysis. For the probabilistic analysis, Monte Carlo Simulation(MCS) method was used based on the coefficient of variation(COV) provided from the previous studies. As far as MCS method is concerned, the number of simulation shall be increased to get a certain degree of reliability when the probability of failure is low. In this process, MCS method is unfavorable because it requires more time and expenses. To overcome these shortcomings, the response surface method using the artificial neural network(ANN) that improves the efficiency in preparing the fragility curve was applied. For the review of the applicability, the results were compared with the MCS-based fragility curves. In addition, fragility curves that depend on the variation of water level of levee were prepared using the ANN-based response surface. The results showed that the new method can get the fragility curve which is similar to the MCS-based fragility curve, and can be efficiently used to reduce the analysis time. Acknowledgements: This research was supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) with funding from the Ministry of Land, Infrastructure and Transport of the Korean government (16SCIP-B065985-04).

  1. Hybrid intelligence systems and artificial neural network (ANN approach for modeling of surface roughness in drilling

    Directory of Open Access Journals (Sweden)

    Ch. Sanjay

    2014-12-01

    Full Text Available In machining processes, drilling operation is material removal process that has been widely used in manufacturing since industrial revolution. The useful life of cutting tool and its operating conditions largely controls the economics of machining operations. Drilling is most frequently performed material removing process and is used as a preliminary step for many operations, such as reaming, tapping, and boring. Drill wear has a bad effect on the surface finish and dimensional accuracy of the work piece. The surface finish of a machined part is one of the most important quality characteristics in manufacturing industries. The primary objective of this research is the prediction of suitable parameters for surface roughness in drilling. Cutting speed, cutting force, and machining time were given as inputs to the adaptive fuzzy neural network and neuro-fuzzy analysis for estimating the values of surface roughness by using 2, 3, 4, and 5 membership functions. The best structures were selected based on minimum of summation of square with the actual values with the estimated values by artificial neural fuzzy inference system (ANFIS and neuro-fuzzy systems. For artificial neural network (ANN analysis, the number of neurons was selected from 1, 2, 3, … , 20. The learning rate was selected as .5 and .5 smoothing factor was used. The inputs were selected as cutting speed, feed, machining time, and thrust force. The best structures of neural networks were selected based on the criteria as the minimum of summation of square with the actual value of surface roughness. Drilling experiments with 10 mm size were performed at two cutting speeds and feeds. Comparative analysis has been done between the actual values and the estimated values obtained by ANFIS, neuro-fuzzy, and ANN analysis.

  2. Assessing the Long Term Impact of Phosphorus Fertilization on Phosphorus Loadings Using AnnAGNPS

    Directory of Open Access Journals (Sweden)

    Martin A. Locke

    2011-06-01

    Full Text Available High phosphorus (P loss from agricultural fields has been an environmental concern because of potential water quality problems in streams and lakes. To better understand the process of P loss and evaluate the effects of different phosphorus fertilization rates on phosphorus losses, the USDA Annualized AGricultural Non-Point Source (AnnAGNPS pollutant loading model was applied to the Ohio Upper Auglaize watershed, located in the southern portion of the Maumee River Basin. In this study, the AnnAGNPS model was calibrated using USGS monitored data; and then the effects of different phosphorus fertilization rates on phosphorus loadings were assessed. It was found that P loadings increase as fertilization rate increases, and long term higher P application would lead to much higher P loadings to the watershed outlet. The P loadings to the watershed outlet have a dramatic change after some time with higher P application rate. This dramatic change of P loading to the watershed outlet indicates that a “critical point” may exist in the soil at which soil P loss to water changes dramatically. Simulations with different initial soil P contents showed that the higher the initial soil P content is, the less time it takes to reach the “critical point” where P loadings to the watershed outlet increases dramatically. More research needs to be done to understand the processes involved in the transfer of P between the various stable, active and labile states in the soil to ensure that the model simulations are accurate. This finding may be useful in setting up future P application and management guidelines.

  3. Aivar Riisalu : loomulikult läksin üle piiri ja vabandan / Aivar Riisalu ; interv. Anneli Ammas

    Index Scriptorium Estoniae

    Riisalu, Aivar, 1961-

    2006-01-01

    Aivar Riisalu selgitab oma mõtteavaldusi Kanal 2 telesaates "Top 10" ning ütleb, et temas ei ole rassivaenu. Vt. samas: Anneli Ammas, Sigrid Laev. Kaitsepolitsei võib algatada kriminaalasja; Sigrid Laev. Riisalu pääses kriminaalmenetlusest. Lisa: Riisalu avaldused "Top 10" saates

  4. A data-parallelism approach for PSO-ANN based medical image reconstruction on a multi-core system

    Directory of Open Access Journals (Sweden)

    Subramanian Kartheeswaran

    Full Text Available This paper presents the sequential and parallel data decomposition strategies implemented on a Particle Swarm Optimization (PSO algorithm based Artificial Neural Network (PSO-ANN weights optimization for image reconstruction. The application system is developed for the reconstruction of two-dimensional spatial standard Computed Tomography (CT phantom images. It is running on a multi-core computer by varying the number of cores. The feed forward ANN initializes the weight between the ‘ideal’ images that are reconstructed using filtered back projection (FBP technique and the corresponding projection data of CT phantom. In an earlier work, ANN training time is too long. Hence, we propose that the ANN exemplar datasets are decomposed into subsets. Using these subsets, artificial sub neural nets (subnets are initialized and each subnet initial weights are optimized using PSO. Consequently, it was observed that the sequential approach of the proposed method consumes more training time. Hence the parallel strategy is attempted to reduce the computational training time. The parallel approach is further explored for image reconstruction from ‘noisy’ and ‘limited-angle’ datasets also. Keywords: Image reconstruction, Filtered back projection, Artificial neural networks, Particle swarm optimization, Multi-core processors

  5. Konverentsimuljeid tegijailt ja osalejailt / Monika Läänesaar, Ann Lumiste, Andrus Laansalu...[jt.] ; interv. Madis Kolk

    Index Scriptorium Estoniae

    2000-01-01

    Rahvusvahelisest konverentsist "Lavailm" ja näitusest "Teatrikunstnik...kes ta on?" (kuraator Ann Lumiste) Rotermanni soolalaos, teatrikunstniku positsioonist teatris, uue meedia ja teatri koostöö võimalikkusest, keskkonna ja visuaalsete elementide mõju lavastaja- ja näitlejatööle.

  6. Kuis saada läbi Siirita? / Mari-Ann Kelam, Erika Salumäe, Sirje Endre

    Index Scriptorium Estoniae

    Kelam, Mari-Ann, 1946-

    2001-01-01

    Riigikogu uude juhatusse ei kuulu ühtegi naist : Keskerakond valis Siiri Oviiri asemele Riigikogu aseesimehe kohale Peeter Kreitzbergi. Naiste osalemisvõimalust poliitikas kommenteerivad Riigikogu naisliikmed Mari-Ann Kelam, Erika Salumäe, Sirje Endre, Jaana Padrik, Viive Rosenberg, Mai Treial, Ivi Eenmaa, Liis Klaar, Liia Hänni, Laine Tarvis

  7. Anne K. Bang: Islamic Sufi Networks in the Western Indian Ocean (c. 1880-1940. Ripples of Reform.

    Directory of Open Access Journals (Sweden)

    Angelika Brodersen

    2015-03-01

    Full Text Available This contribution offers a review of Anne K. Bang's book: Islamic Sufi Networks in the Western Indian Ocean (c. 1880-1940. Ripples of Reform. Islam in Africa, Volume 16. Leiden: Brill 2014. xiv + 227 pages, € 104.00, ISBN 978-900-425-1342.

  8. Tunnustati parimaid üliõpilasteadlasi / Elsa Suuster, Marit Alas, Annely Aleksejev ; küsitlenud Vilma Rauniste

    Index Scriptorium Estoniae

    Putku, Elsa, 1984-

    2009-01-01

    Vestlus üliõpilaste teadustööde riikliku konkursi kolme laureaadiga, kelle uurimistöö oli tehtud Saare maakonnas. Nendeks on Elsa Suuster ja Annely Aleksejev Eesti Maaülikoolist ning Marit Alas Tallinna Ülikoolist

  9. Noored hoolivad Eestist väga / Viio Aitsam, Anneli Aasmäe, Merike Pitk, Rein Raudvere

    Index Scriptorium Estoniae

    2007-01-01

    Rapla Vesiroosi Gümnaasiumi abiturient Mari Tammar, Tõrva Gümnaasiumi abiturient Asso Toming, Kuressaare Gümnaasiumi abiturient Marti Mereäär, Võru Kreutzwaldi Gümnaasiumi abiturient Kersti Ploom, Puka Keskkooli abiturient Anne Kull ja Puhja Gümnaasiumi abiturient Siim Sups kirjutasid küpsuskirjandi teemal, milles arutlesid Eesti kui rahvusriigi tuleviku üle

  10. SA Virumaa Muuseumid Viru-Nigula pastopraadimuuseum / Fredi-Armand Tomps, Leila Pärtelpoeg, Annes Hermann

    Index Scriptorium Estoniae

    Tomps, Fredi-Armand, 1928

    2008-01-01

    12 ill.; fotod: Sven Arbet, Arvi Kriis; pastoraadimajas on renoveeritud esimesed ruumid, s.h. saal (arhitekt Fredi Tomps, sisearhitekt Leila Pärtelpoeg); sohva koopia on valminud 1990-ndate algul L. Pärtelpoja jooniste järgi Tartu kunstikooli mööbliosakonna õpilaste diplomitööna Annes Hermanni juhendamisel

  11. Prediction by Artificial Neural Networks (ANN of the diffusivity, mass, moisture, volume and solids on osmotically dehydrated yacon (Smallantus sonchifolius

    Directory of Open Access Journals (Sweden)

    Julio Rojas Naccha

    2012-09-01

    Full Text Available The predictive ability of Artificial Neural Network (ANN on the effect of the concentration (30, 40, 50 y 60 % w/w and temperature (30, 40 y 50°C of fructooligosaccharides solution, in the mass, moisture, volume and solids of osmodehydrated yacon cubes, and in the coefficients of the water means effective diffusivity with and without shrinkage was evaluated. The Feedforward type ANN with the Backpropagation training algorithms and the Levenberg-Marquardt weight adjustment was applied, using the following topology: 10-5 goal error, 0.01 learning rate, 0.5 moment coefficient, 2 input neurons, 6 output neurons, one hidden layer with 18 neurons, 15 training stages and logsig-pureline transfer functions. The overall average error achieved by the ANN was 3.44% and correlation coefficients were bigger than 0.9. No significant differences were found between the experimental values and the predicted values achieved by the ANN and with the predicted values achieved by a statistical model of second-order polynomial regression (p > 0.95.

  12. Kuidas te lapsi kooli olete toonud? / Tõnu Mändveer, Alli Lunter, Anne Änilane .. [jt.

    Index Scriptorium Estoniae

    2011-01-01

    Küsimusele vastasid: Loo keskkooli õpetaja Tõnu Mändveer, Viljandi maagümnaasiumi õpetaja Alli Lunter, Kodila põhikooli direktor Anne Änilane, Jaan Tõnissoni instituudi kodanikuhariduse keskuse juhataja Sulev Valdmaa ja Viljandi Carl Robert Jakobsoni gümnaasiumi õppealajuhataja Kaie Lõhmus

  13. Analyzing powers and spin correlations ANN and ALL for pp-->npπ+ at 650 and 800 MeV

    Science.gov (United States)

    Bhatia, T. S.; Boissevain, J. G. J.; Jarmer, J. J.; Silbar, R. R.; Simmons, J. E.; Glass, G.; Hiebert, J. C.; Kenefick, R. A.; Northcliffe, L. C.; Tippens, W. B.; Kloet, W. M.; Dubach, J.

    1983-11-01

    We report first measurements of the spin correlation parameters, ANN and ALL, for pp-->npπ+ above the Δ-production threshold. Our results for this dominant inelastic channel are in good agreement with a theoretical model that does not include any dibaryon resonances.

  14. DeAnnIso: a tool for online detection and annotation of isomiRs from small RNA sequencing data.

    Science.gov (United States)

    Zhang, Yuanwei; Zang, Qiguang; Zhang, Huan; Ban, Rongjun; Yang, Yifan; Iqbal, Furhan; Li, Ao; Shi, Qinghua

    2016-07-08

    Small RNA (sRNA) Sequencing technology has revealed that microRNAs (miRNAs) are capable of exhibiting frequent variations from their canonical sequences, generating multiple variants: the isoforms of miRNAs (isomiRs). However, integrated tool to precisely detect and systematically annotate isomiRs from sRNA sequencing data is still in great demand. Here, we present an online tool, DeAnnIso (Detection and Annotation of IsomiRs from sRNA sequencing data). DeAnnIso can detect all the isomiRs in an uploaded sample, and can extract the differentially expressing isomiRs from paired or multiple samples. Once the isomiRs detection is accomplished, detailed annotation information, including isomiRs expression, isomiRs classification, SNPs in miRNAs and tissue specific isomiR expression are provided to users. Furthermore, DeAnnIso provides a comprehensive module of target analysis and enrichment analysis for the selected isomiRs. Taken together, DeAnnIso is convenient for users to screen for isomiRs of their interest and useful for further functional studies. The server is implemented in PHP + Perl + R and available to all users for free at: http://mcg.ustc.edu.cn/bsc/deanniso/ and http://mcg2.ustc.edu.cn/bsc/deanniso/. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

  15. Quantification of phenylpropanoids in commercial Echinacea products using TLC with video densitometry as detection technique and ANN for data modelling.

    Science.gov (United States)

    Agatonovic-Kustrin, S; Loescher, Christine M; Singh, Ragini

    2013-01-01

    Echinacea preparations are among the most popular herbal remedies worldwide. Although it is generally assigned immune enhancement activities, the effectiveness of Echinacea is highly dependent on the Echinacea species, part of the plant used, the age of the plant, its location and the method of extraction. The aim of this study was to investigate the capacity of an artificial neural network (ANN) to analyse thin-layer chromatography (TLC) chromatograms as fingerprint patterns for quantitative estimation of three phenylpropanoid markers (chicoric acid, chlorogenic acid and echinacoside) in commercial Echinacea products. By applying samples with different weight ratios of marker compounds to the system, a database of chromatograms was constructed. One hundred and one signal intensities in each of the TLC chromatograms were correlated to the amounts of applied echinacoside, chlorogenic acid and chicoric acid using an ANN. The developed ANN correlation was used to quantify the amounts of three marker compounds in Echinacea commercial formulations. The minimum quantifiable level of 63, 154 and 98 ng and the limit of detection of 19, 46 and 29 ng were established for echinacoside, chlorogenic acid and chicoric acid respectively. A novel method for quality control of herbal products, based on TLC separation, high-resolution digital plate imaging and ANN data analysis has been developed. The method proposed can be adopted for routine evaluation of the phytochemical variability in Echinacea formulations available in the market. Copyright © 2012 John Wiley & Sons, Ltd.

  16. Algõpetuse peajoon ja harupedagoogikad / Sirje Piht, Elve Voltein, Anne Uusen, Inge Timoštšuk

    Index Scriptorium Estoniae

    2012-01-01

    Intervjuu Sirje Pihti ja Anne Uuseniga Tallinna Ülikooli algõpetuse osakonnast, Elve Volteiniga Tartu Ülikooli haridusteaduste instituudi õpetajate seminarist ja Inge Timoštšukiga Tallinna Ülikooli kasvatusteaduste instituudi pedagoogilise praktika keskusest

  17. Finding the Hole in the Wreck: Shamanic practice in the Poetry of Adrienne Rich and Anne Sexton

    DEFF Research Database (Denmark)

    Elias, Camelia

    2013-01-01

    to argue that both Adrienne Rich and Anne Sexton manipulate with visualization techniques in their symbolic imagery in order to create an atmosphere that is akin to a shamanic journey. The poetic examples that I want to discuss demonstrate how the “language of the suicides” (Sexton) and “the thing itself...

  18. 78 FR 10172 - Lisa Anne Cornell and G. Ware Cornell, Jr. v. Princess Cruise Lines, Ltd. (Corp), Carnival PLC...

    Science.gov (United States)

    2013-02-13

    ... Lisa Anne Cornell and G. Ware Cornell, Jr. v. Princess Cruise Lines, Ltd. (Corp), Carnival PLC, and..., Jr., hereinafter ``Complainants,'' against Princess Cruise Lines, Ltd (Corp), Carnival plc, and... common carrier for hire of passengers from ports in the United States;'' Respondent Carnival plc ``is a...

  19. Tandem Paul ja Anne Daniela Rodgers, Kaunase modernistid ja arenev Meiu Münt / Juta Kivimäe

    Index Scriptorium Estoniae

    Kivimäe, Juta, 1952-

    2006-01-01

    Kuni 23. IV Tartu Kunstimuuseumis avatud Paul ja Anne Daniela Rodgersi näitusest. 15. II-13. III Tartu kaheksas galeriis avatud Kaunase kunstnike näitusest, Arvidas Zhalpyse installatsioonist "Kõik toolist" ja Agne Jonkute maalist "Olematuse faktid" Tartu Kunstimajas. Kuni 25. III G-galeriis avatud Meiu Mündi näitusest "Päev on pime"

  20. Application of Artificial Neural Networks (ANNs for Weight Predictions of Blue Crabs (Callinectes sapidus RATHBUN, 1896 Using Predictor Variables

    Directory of Open Access Journals (Sweden)

    C. TURELI BILEN

    2011-10-01

    Full Text Available An evaluation of the performance of artificial networks (ANNs to estimate the weights of blue crab (Callinectes sapidus catches in Yumurtalık Cove (Iskenderun Bay that uses measured predictor variables is presented, including carapace width (CW, sex (male, female and female with eggs, and sampling month. Blue crabs (n=410 were collected each month between 15 September 1996 and 15 May 1998. Sex, CW, and sampling month were used and specified in the input layer of the network. The weights of the blue crabs were utilized in the output layer of the network. A multi-layer perception architecture model was used and was calibrated with the Levenberg Marguardt (LM algorithm. Finally, the values were determined by the ANN model using the actual data. The mean square error (MSE was measured as 3.3, and the best results had a correlation coefficient (R of 0.93. We compared the predictive capacity of the general linear model (GLM versus the Artificial Neural Network model (ANN for the estimation of the weights of blue crabs from independent field data. The results indicated the higher performance capacity of the ANN to predict weights compared to the GLM (R=0.97 vs. R=0.95, raw variable when evaluated against independent field data.

  1. Comparison of TS and ANN Models with the Results of Emission Scenarios in Rainfall Prediction

    Directory of Open Access Journals (Sweden)

    S. Babaei Hessar

    2016-02-01

    Full Text Available Introduction: Precipitation is one of the most important and sensitive parameters of the tropical climate that influence the catchments hydrological regime. The prediction of rainfall is vital for strategic planning and water resources management. Despite its importance, statistical rainfall forecasting, especially for long-term, has been proven to be a great challenge due to the dynamic nature of climate phenomena and random fluctuations involved in the process. Various methods, such as time series and artificial neural network models, have been proposed to predict the level of rainfall. But there is not enough attention to global warming and climate change issues. The main aim of this study is to investigate the conformity of artificial neural network and time series models with climate scenarios. Materials and Methods: For this study, 50 years of daily rainfall data (1961 to 2010 of the synoptic station of Urmia, Tabriz and Khoy was investigated. Data was obtained from Meteorological Organization of Iran. In the present study, the results of two Artificial Neural Network (ANN and Time Seri (TS methods were compared with the result of the Emission Scenarios (A2 & B1. HadCM3 model in LARS-WG software was used to generate rainfall for the next 18 years (2011-2029. The results of models were compared with climate scenarios over the next 18 years in the three synoptic stations located in the basin of the Lake Urmia. At the first stage, the best model of time series method was selected. The precipitation was estimated for the next 18 years using these models. For the same period, precipitation was forecast using artificial neural networks. Finally, the results of two models were compared with data generated under two scenarios (B1 and A2 in LARS-WG. Results and Discussion: Different order of AR, MA and ARMA was examined to select the best model of TS The results show that AR(1 was suitable for Tabriz and Khoy stations .In the Urmia station MA(1 was

  2. A Hybrid ANN-GA Model to Prediction of Bivariate Binary Responses: Application to Joint Prediction of Occurrence of Heart Block and Death in Patients with Myocardial Infarction.

    Science.gov (United States)

    Mirian, Negin-Sadat; Sedehi, Morteza; Kheiri, Soleiman; Ahmadi, Ali

    2016-01-01

    In medical studies, when the joint prediction about occurrence of two events should be anticipated, a statistical bivariate model is used. Due to the limitations of usual statistical models, other methods such as Artificial Neural Network (ANN) and hybrid models could be used. In this paper, we propose a hybrid Artificial Neural Network-Genetic Algorithm (ANN-GA) model to prediction the occurrence of heart block and death in myocardial infarction (MI) patients simultaneously. For fitting and comparing the models, 263 new patients with definite diagnosis of MI hospitalized in Cardiology Ward of Hajar Hospital, Shahrekord, Iran, from March, 2014 to March, 2016 were enrolled. Occurrence of heart block and death were employed as bivariate binary outcomes. Bivariate Logistic Regression (BLR), ANN and hybrid ANN-GA models were fitted to data. Prediction accuracy was used to compare the models. The codes were written in Matlab 2013a and Zelig package in R3.2.2. The prediction accuracy of BLR, ANN and hybrid ANN-GA models was obtained 77.7%, 83.69% and 93.85% for the training and 78.48%, 84.81% and 96.2% for the test data, respectively. In both training and test data set, hybrid ANN-GA model had better accuracy. ANN model could be a suitable alternative for modeling and predicting bivariate binary responses when the presuppositions of statistical models are not met in actual data. In addition, using optimization methods, such as hybrid ANN-GA model, could improve precision of ANN model.

  3. AnnAGNPS Model Application for Nitrogen Loading Assessment for the Future Midwest Landscape Study

    Directory of Open Access Journals (Sweden)

    Michael A. Jackson

    2011-02-01

    Full Text Available The Future Midwest Landscape (FML project is part of the US Environmental Protection Agency (EPA’s new Ecosystem Services Research Program, undertaken to examine the variety of ways in which landscapes that include crop lands, conservation areas, wetlands, lakes, and streams affect human well-being. The goal of the FML project is to quantify current and future ecosystem services across the region and to examine changes expected to occur as a result of the growing demand for biofuels. This study is one of several pilots taking place under the umbrella of the FML research project. In this study, the USDA Annualized Agricultural Non-Point Source Pollution (AnnAGNPS model was applied to the East Fork Kaskaskia River watershed (289.3 km2 located in the Kaskaskia River Basin within the Upper Mississippi River Basin in Illinois. The effect of different spatial resolutions on model performance was investigated by comparing the observed runoff with the AnnAGNPS simulated results. Alternative future scenarios such as meeting future biofuel target were also simulated and analyzed. All delineations of the study area (coarser to finer produced satisfactory results in simulating monthly and annual runoff. However, the size of the delineation does impact the simulation results. Finer delineations better represented the actual landscape and captured small critical areas that would be homogenized in coarser delineation. Those small critical areas are important to target to achieve maximum environment benefit. Simulations of alternative future scenarios showed that as corn production increases to meet future biofuel needs, total nitrogen loss increases. For this watershed, total N loss would be more than doubled if converting all corn/soybean rotation (15,871.2 ha to continuous corn comparing with the base year total N loss which is 11.2 kg/ha. Conservation practices are needed to reduce total nitrogen loss from the watershed. This study provides an important

  4. SSVEP and ANN based optimal speller design for Brain Computer Interface

    Directory of Open Access Journals (Sweden)

    Irshad Ahmad Ansari

    2015-07-01

    Full Text Available This work put forwards an optimal BCI (Brain Computer Interface speller design based on Steady State Visual Evoked Potentials (SSVEP and Artificial Neural Network (ANN in order to help the people with severe motor impairments. This work is carried out to enhance the accuracy and communication rate of  BCI system. To optimize the BCI system, the work has been divided into two steps: First, designing of an encoding technique to choose characters from the speller interface and the second is the development and implementation of feature extraction algorithm to acquire optimal features, which is used to train the BCI system for classification using neural network. Optimization of speller interface is focused on representation of character matrix and its designing parameters. Then again, a lot of deliberations made in order to optimize selection of features and user’s time window. Optimized system works nearly the same with the new user and gives character per minute (CPM of 13 ± 2 with an average accuracy of 94.5% by choosing first two harmonics of power spectral density as the feature vectors and using the 2 second time window for each selection. Optimized BCI performs better with experienced users with an average accuracy of 95.1%. Such a good accuracy has not been reported before in account of fair enough CPM.DOI: 10.15181/csat.v2i2.1059

  5. ANN modeling of water consumption in the lead-acid batteries

    Energy Technology Data Exchange (ETDEWEB)

    Karimi, Mohammad Ali [Department of Chemistry, Payame-Noor University of Sirjan, Sirjan (Iran); Department of Chemistry, Shahid Bahonar University of Kerman, Kerman (Iran); Karami, Hassan [Department of Chemistry, Payame-Noor University of Abhar, Abhar (Iran); Mahdipour, Maryam [Department of Chemistry, Payame-Noor University of Sirjan, Sirjan (Iran); R and D Center, Sepahan Battery Industrial Complex, Oshtorjan Industrial Zone, Isfahan (Iran)

    2007-10-25

    Due to importance of the quantity of water loss in the life cycle of lead-acid batteries, water consumption tests were performed on 72 lead-acid batteries with low antimony grid alloy at different charge voltages and temperatures. Weight loss of batteries was measured during a period of 10 days. The behavior of batteries in different charge voltages and temperatures were modeled by artificial neural networks (ANNs) using MATLAB 7 media. Four temperatures were used in the training set, out of which three were used in prediction set and one in validation set. The network was trained by training and prediction data sets, and then was used for predicting water consumption in all three temperatures of prediction set. Finally, the network obtained was verified while being used in predicting water loss in defined temperatures of validation set. To achieve a better evaluation of the model ability, three models with different validation temperatures were used (model 1 = 50 C, model 2 = 60 C and model 3 = 70 C). There was a good agreement between predicted and experimental results at prediction and validation sets for all the models. Mean prediction errors in modeling charge voltage-temperature-time behavior in the water consumption quantity for models 1-3 were below 0.99%, 0.03%, and 0.76%, respectively. The model can be simply used by inexpert operators working in lead-acid battery industry. (author)

  6. Baring Skills, Not Soul: Carol Ann Duffy’s Intertextual Games

    Directory of Open Access Journals (Sweden)

    Catherine LANONE

    2008-10-01

    Full Text Available Maîtrisant à merveille la contre-interpellation ludique dans The World’s Wife, Carol Ann Duffy  est réputée pour ses jeux intertextuels et ses réécritures féministes des grands mythes, donnant la parole aux figures féminines que l’histoire effaçait pour faire triompher le féminin et rire du masculin. Mais son recueil Rapture, publié en 2005, s’écarte radicalement du modèle féministe pour tenter une appropriation plus discrète de la tradition pétrarquisante de la poésie amoureuse. Resémiotisant les clichés, jouant sur une simplicité incantatoire, Duffy pratique ici l’écho plutôt que la réécriture, dans un dépouillement sensuel, explorant amour puis désamour au rythme d’une poésie qui emprunte au jazz ses variations fluides ou syncopées.

  7. The Anne Frank Haven: A case of an alternative educational program in an integrative Kibbutz setting

    Science.gov (United States)

    Ben-Peretz, Miriam; Giladi, Moshe; Dror, Yuval

    1992-01-01

    The essential features of the programme of the Anne Frank Haven are the complete integration of children from low SES and different cultural backgrounds with Kibbutz children; a holistic approach to education; and the involvement of the whole community in an "open" residential school. After 33 years, it is argued that the experiment has proved successful in absorbing city-born youth in the Kibbutz, enabling at-risk populations to reach significant academic achievements, and ensuring their continued participation in the dominant culture. The basic integration model consists of "layers" of concentric circles, in dynamic interaction. The innermost circle is the class, the learning community. The Kibbutz community and the foster parents form a supportive, enveloping circle, which enables students to become part of the outer community and to intervene in it. A kind of meta-environment, the inter-Kibbutz partnership and the Israeli educational system, influence the program through decision making and guidance. Some of the principles of the Haven — integration, community involvement, a year's induction for all new students, and open residential settings — could be useful for cultures and societies outside the Kibbutz. The real "secret" of success of an alternative educational program is the dedicated, motivated and highly trained staff.

  8. Comparing ANNs, EAs, and Trees: a basic machine-learning approach to predictive environmental models.

    Science.gov (United States)

    Williams, J.; Poff, N.

    2005-05-01

    Machine learning techniques for ecological applications or "eco-informatics" are becoming increasingly useful and accessible for ecologists. We evaluated the predictive ability of three commercially available (i.e. user-friendly) software packages for artificial neural networks (ANNs), evolutionary algorithms (EAs), and classification/regression trees (Trees). We analyzed fish and habitat data for streams in the mid-Atlantic region of the U.S., which was collected by the U.S. Environmental Protection Agency (EPA). The data includes over 200 environmental descriptors summarizing watershed, stream, and water chemistry characteristics in addition to derived fish community metrics (i.e. richness, IBI scores, % exotics). In our analysis we predicted individual species presence/absence and fish community metrics as a function of these local and regional scale habitat variables. Predictive ability is evaluated with independent validation data. These approaches could prove especially useful for conservation or management applications where ecologists seek to utilize the most comprehensive data to make predictions at various scales. By employing "user-friendly" software we hope to show that ecologists, without extensive knowledge of computational science, can benefit from these techniques by extracting more information about complex ecosystems. Relative strengths and weaknesses of these three approaches are compared and recommendations for their use in conservation applications are presented.

  9. The Segmentation of Point Clouds with K-Means and ANN (artifical Neural Network)

    Science.gov (United States)

    Kuçak, R. A.; Özdemir, E.; Erol, S.

    2017-05-01

    Segmentation of point clouds is recently used in many Geomatics Engineering applications such as the building extraction in urban areas, Digital Terrain Model (DTM) generation and the road or urban furniture extraction. Segmentation is a process of dividing point clouds according to their special characteristic layers. The present paper discusses K-means and self-organizing map (SOM) which is a type of ANN (Artificial Neural Network) segmentation algorithm which treats the segmentation of point cloud. The point clouds which generate with photogrammetric method and Terrestrial Lidar System (TLS) were segmented according to surface normal, intensity and curvature. Thus, the results were evaluated. LIDAR (Light Detection and Ranging) and Photogrammetry are commonly used to obtain point clouds in many remote sensing and geodesy applications. By photogrammetric method or LIDAR method, it is possible to obtain point cloud from terrestrial or airborne systems. In this study, the measurements were made with a Leica C10 laser scanner in LIDAR method. In photogrammetric method, the point cloud was obtained from photographs taken from the ground with a 13 MP non-metric camera.

  10. ANN Sizing Procedure for the Day-Ahead Output Power Forecast of a PV Plant

    Directory of Open Access Journals (Sweden)

    Francesco Grimaccia

    2017-06-01

    Full Text Available Since the beginning of this century, the share of renewables in Europe’s total power capacity has almost doubled, becoming the largest source of its electricity production. In 2015 alone, photovoltaic (PV energy generation rose with a rate of more than 5%; nowadays, Germany, Italy, and Spain account together for almost 70% of total European PV generation. In this context, the so-called day-ahead electricity market represents a key trading platform, where prices and exchanged hourly quantities of energy are defined 24 h in advance. Thus, PV power forecasting in an open energy market can greatly benefit from machine learning techniques. In this study, the authors propose a general procedure to set up the main parameters of hybrid artificial neural networks (ANNs in terms of the number of neurons, layout, and multiple trials. Numerical simulations on real PV plant data are performed, to assess the effectiveness of the proposed methodology on the basis of statistical indexes, and to optimize the forecasting network performance.

  11. An Emotional ANN (EANN) approach to modeling rainfall-runoff process

    Science.gov (United States)

    Nourani, Vahid

    2017-01-01

    This paper presents the first hydrological implementation of Emotional Artificial Neural Network (EANN), as a new generation of Artificial Intelligence-based models for daily rainfall-runoff (r-r) modeling of the watersheds. Inspired by neurophysiological form of brain, in addition to conventional weights and bias, an EANN includes simulated emotional parameters aimed at improving the network learning process. EANN trained by a modified version of back-propagation (BP) algorithm was applied to single and multi-step-ahead runoff forecasting of two watersheds with two distinct climatic conditions. Also to evaluate the ability of EANN trained by smaller training data set, three data division strategies with different number of training samples were considered for the training purpose. The overall comparison of the obtained results of the r-r modeling indicates that the EANN could outperform the conventional feed forward neural network (FFNN) model up to 13% and 34% in terms of training and verification efficiency criteria, respectively. The superiority of EANN over classic ANN is due to its ability to recognize and distinguish dry (rainless days) and wet (rainy days) situations using hormonal parameters of the artificial emotional system.

  12. SVM and ANN Based Classification of Plant Diseases Using Feature Reduction Technique

    Directory of Open Access Journals (Sweden)

    Jagadeesh D.Pujari

    2016-06-01

    Full Text Available Computers have been used for mechanization and automation in different applications of agriculture/horticulture. The critical decision on the agricultural yield and plant protection is done with the development of expert system (decision support system using computer vision techniques. One of the areas considered in the present work is the processing of images of plant diseases affecting agriculture/horticulture crops. The first symptoms of plant disease have to be correctly detected, identified, and quantified in the initial stages. The color and texture features have been used in order to work with the sample images of plant diseases. Algorithms for extraction of color and texture features have been developed, which are in turn used to train support vector machine (SVM and artificial neural network (ANN classifiers. The study has presented a reduced feature set based approach for recognition and classification of images of plant diseases. The results reveal that SVM classifier is more suitable for identification and classification of plant diseases affecting agriculture/horticulture crops.

  13. The educational challenge of Paediatric Virology: An interview with Professor of Neonatology Anne Greenough.

    Science.gov (United States)

    Mammas, Ioannis N; Spandidos, Demetrios A

    2017-10-01

    According to Professor Anne Greenough, Professor of Neonatology and Clinical Respiratory Physiology at the King's College London (London, UK), Paediatric Virology is indeed a rapidly increasing educational challenge. Professor Greenough, who in 1992 wrote her book on congenital, perinatal and neonatal infections, believes that during the past 3 decades, paediatric health professionals are becoming increasingly involved in specialised care and follow-up of paediatric patients with viral diseases, who require advanced medical care and innovative technological services. Moreover, she highlights the expected role of new vaccines and antiviral agents that are currently under investigation, as well as the impact of emerging viral diseases that require novel prevention strategies and therapeutic protocols. However, she notes that the number of Paediatric Virologists in any one country is likely to be small; hence, a separate paediatric subspecialty needs to be considered carefully. In the context of the 3rd Workshop on Paediatric Virology, which will be held in Athens, Greece, on October 7th, 2017, Professor Greenough will give her plenary lecture on the impact of viral infections on the long term outcomes of prematurely born infants.

  14. Prediction and Control of Cutting Tool Vibration in Cnc Lathe with Anova and Ann

    Directory of Open Access Journals (Sweden)

    S. S. Abuthakeer

    2011-06-01

    Full Text Available Machining is a complex process in which many variables can deleterious the desired results. Among them, cutting tool vibration is the most critical phenomenon which influences dimensional precision of the components machined, functional behavior of the machine tools and life of the cutting tool. In a machining operation, the cutting tool vibrations are mainly influenced by cutting parameters like cutting speed, depth of cut and tool feed rate. In this work, the cutting tool vibrations are controlled using a damping pad made of Neoprene. Experiments were conducted in a CNC lathe where the tool holder is supported with and without damping pad. The cutting tool vibration signals were collected through a data acquisition system supported by LabVIEW software. To increase the buoyancy and reliability of the experiments, a full factorial experimental design was used. Experimental data collected were tested with analysis of variance (ANOVA to understand the influences of the cutting parameters. Empirical models have been developed using analysis of variance (ANOVA. Experimental studies and data analysis have been performed to validate the proposed damping system. Multilayer perceptron neural network model has been constructed with feed forward back-propagation algorithm using the acquired data. On the completion of the experimental test ANN is used to validate the results obtained and also to predict the behavior of the system under any cutting condition within the operating range. The onsite tests show that the proposed system reduces the vibration of cutting tool to a greater extend.

  15. THE SEGMENTATION OF POINT CLOUDS WITH K-MEANS AND ANN (ARTIFICAL NEURAL NETWORK

    Directory of Open Access Journals (Sweden)

    R. A. Kuçak

    2017-05-01

    Full Text Available Segmentation of point clouds is recently used in many Geomatics Engineering applications such as the building extraction in urban areas, Digital Terrain Model (DTM generation and the road or urban furniture extraction. Segmentation is a process of dividing point clouds according to their special characteristic layers. The present paper discusses K-means and self-organizing map (SOM which is a type of ANN (Artificial Neural Network segmentation algorithm which treats the segmentation of point cloud. The point clouds which generate with photogrammetric method and Terrestrial Lidar System (TLS were segmented according to surface normal, intensity and curvature. Thus, the results were evaluated. LIDAR (Light Detection and Ranging and Photogrammetry are commonly used to obtain point clouds in many remote sensing and geodesy applications. By photogrammetric method or LIDAR method, it is possible to obtain point cloud from terrestrial or airborne systems. In this study, the measurements were made with a Leica C10 laser scanner in LIDAR method. In photogrammetric method, the point cloud was obtained from photographs taken from the ground with a 13 MP non-metric camera.

  16. On the recovery of an ancient text: Principles of editing, The diaries of Lady Anne Barnard

    Directory of Open Access Journals (Sweden)

    M. Lenta

    1997-05-01

    Full Text Available The unrevised and handwritten Cape diaries of Lady Anne Barnard for the years 1799 and 1800 have recently been transcribed and are now in the process of being edited. Since they are very long, and would be expensive to publish in their entirely, the question has arisen for their editors what principles of selection and emphasis should be followed in the editorial process. The diaries are private documents, intended to be read by no one but the author herself, and they are frequently non-standard in punctuation, spelling and even at times in syntax. The editors therefore face other issues, concerning their right to correct or standardise the text, which as it stands, is an illustration of the practice of a highly intelligent and experienced woman with almost no formal education - a woman who in many respects is representative of her time and class. The different kinds of interest present within the text - Cape and European history, the history of women, of slaves and of colonialism, as well as of the indigenous peoples of the Cape hinterland, may well represent alternative focuses between which the editors, in an abbreviated text, must choose, since the final decision concerning publication is likely to be an economic one. Finally the editors’ recommendations are likely to be based on the degree of interest possessed by the text in its component parts - are all its subjects equally interesting to the envisaged reader, the amateur of history of the present day?

  17. ANN modeling of water consumption in the lead-acid batteries

    Science.gov (United States)

    Karimi, Mohammad Ali; Karami, Hassan; Mahdipour, Maryam

    Due to importance of the quantity of water loss in the life cycle of lead-acid batteries, water consumption tests were performed on 72 lead-acid batteries with low antimony grid alloy at different charge voltages and temperatures. Weight loss of batteries was measured during a period of 10 days. The behavior of batteries in different charge voltages and temperatures were modeled by artificial neural networks (ANNs) using MATLAB 7 media. Four temperatures were used in the training set, out of which three were used in prediction set and one in validation set. The network was trained by training and prediction data sets, and then was used for predicting water consumption in all three temperatures of prediction set. Finally, the network obtained was verified while being used in predicting water loss in defined temperatures of validation set. To achieve a better evaluation of the model ability, three models with different validation temperatures were used (model 1 = 50 °C, model 2 = 60 °C and model 3 = 70 °C). There was a good agreement between predicted and experimental results at prediction and validation sets for all the models. Mean prediction errors in modeling charge voltage-temperature-time behavior in the water consumption quantity for models 1-3 were below 0.99%, 0.03%, and 0.76%, respectively. The model can be simply used by inexpert operators working in lead-acid battery industry.

  18. Modeling the QSAR of ACE-Inhibitory Peptides with ANN and Its Applied Illustration

    Directory of Open Access Journals (Sweden)

    Ronghai He

    2012-01-01

    Full Text Available A quantitative structure-activity relationship (QSAR model of angiotensin-converting enzyme- (ACE- inhibitory peptides was built with an artificial neural network (ANN approach based on structural or activity data of 58 dipeptides (including peptide activity, hydrophilic amino acids content, three-dimensional shape, size, and electrical parameters, the overall correlation coefficient of the predicted versus actual data points is =0.928, and the model was applied in ACE-inhibitory peptides preparation from defatted wheat germ protein (DWGP. According to the QSAR model, the C-terminal of the peptide was found to have principal importance on ACE-inhibitory activity, that is, if the C-terminal is hydrophobic amino acid, the peptide's ACE-inhibitory activity will be high, and proteins which contain abundant hydrophobic amino acids are suitable to produce ACE-inhibitory peptides. According to the model, DWGP is a good protein material to produce ACE-inhibitory peptides because it contains 42.84% of hydrophobic amino acids, and structural information analysis from the QSAR model showed that proteases of Alcalase and Neutrase were suitable candidates for ACE-inhibitory peptides preparation from DWGP. Considering higher DH and similar ACE-inhibitory activity of hydrolysate compared with Neutrase, Alcalase was finally selected through experimental study.

  19. Gênero e tradução: a escritora quebequense Anne Hébert em foco

    Directory of Open Access Journals (Sweden)

    Lilian Virginia Porto

    2014-07-01

    Full Text Available http://dx.doi.org/10.5007/2175-7968.2014v1n33p51 Este trabalho tem por objetivo mostrar a importância da escritora quebequense Anne Hébert (1916-2000 no desencadeamento de uma nova prática de tradução no Canadá, a tradução feminista, que tem como maiores representantes Barbara Godard, Susanne de Lotbinière-Harwood, Luise von Flotow e Sherry Simon. Destaca-se a discussão, entre Hébert e Frank Scott, em torno da tradução do poema hebertiano Le tombeau des rois, realizada por Scott. São mencionados os temas recorrentes da obra de Hébert que, a partir dos anos de 1990, passou a ser lida pelo viés feminista: relações familiares conflituosas, revolta e violência das personagens, clausura interior do ser humano e seu desejo de liberação, ressaltando-se o tratamento dado ao universo feminino. São comentados, ainda, problemas de gênero envolvendo duas traduções do romance hebertiano Kamouraska.

  20. François Audigier, Pascal Girard, dirs, Se battre pour ses idées. La violence militante en France des années 1920 aux années

    OpenAIRE

    Schmidt-Trimborn, Anne-Catherine

    2013-01-01

    Une journée d’études organisée par François Audigier et Pascal Girard, avec le soutien du Centre de recherche universitaire lorrain d’histoire et du ministère de la Défense, s’est tenue à Nancy le 8 juin 2010 avec pour ambition d’appréhender « La violence militante en France des années 1920 aux années 1970 ». Les débats de cette journée ont donné lieu à la publication. D’abord, les organisateurs s’attachent à définir le concept de violence politique qui comprend à la fois les violences physiq...

  1. Huviharidus ei ole ainult soe bussipeatus / Piret Hartman, Ardo Rohtla, Annely Köster ... [jt.] ; intervjueerinud Maris Hellrand

    Index Scriptorium Estoniae

    2016-01-01

    Noorte huvitegevuse toetussüsteemi kontseptsioon toob järgmisel sügisel valdkonda lisaraha. Vestlusringis huvihariduse probleemide üle osalesid kultuuriministri nõunik Piret Hartman, haridus- ja teadusministeeriumi noorteosakonna asejuhataja Ardo Rohtla, Sally Stuudio juhataja Annely Köster, Eesti Muusikakoolide Liidu juhatuse esimees Kadri Leivategija, Rakvere abilinnapea Kairit Pihlak, Eesti Teadushuvihariduse Liidu juhatuse liige Heilo Altin ja MTÜ Loovkirjutamise Keskus juhatuse liige Katriin Fisch-Uibopuu

  2. Uhked naised / Kozik, Eerika; Tomingas, Triin; Sepp, Karin; Liik, Kadi; Kliimask, Katrin; Saunpere, Anne ; tekst Kärt Kross

    Index Scriptorium Estoniae

    2007-01-01

    Mille üle oled enda juures tõeliselt uhke, mida võid enda kiituseks öelda? Küsimusele vastavad Starland Salongi omanik ja Loyd Tootmine OÜ osanik Eerika Kozik, psühholoog Triin Tomingas, Kontuur Leo Burnett projektidirektor Karin Sepp, Tallinna Ülikooli õppejõud Kadi Liik, AS Koolibri turundusjuht Katrin Kliimask ja eraettevõtja Anne Saunpere

  3. Seafloor monitoring west of Helgoland (German Bight, North Sea) using the acoustic ground discrimination system RoxAnn

    Science.gov (United States)

    Hass, H. Christian; Mielck, Finn; Fiorentino, Dario; Papenmeier, Svenja; Holler, Peter; Bartholomä, Alexander

    2017-04-01

    Marine habitats of shelf seas are in constant dynamic change and therefore need regular assessment particularly in areas of special interest. In this study, the single-beam acoustic ground discrimination system RoxAnn served to assess seafloor hardness and roughness, and combine these parameters into one variable expressed as RGB (red green blue) color code followed by k-means fuzzy cluster analysis (FCA). The data were collected at a monitoring site west of the island of Helgoland (German Bight, SE North Sea) in the course of four surveys between September 2011 and November 2014. The study area has complex characteristics varying from outcropping bedrock to sandy and muddy sectors with mostly gradual transitions. RoxAnn data enabled to discriminate all seafloor types that were suggested by ground-truth information (seafloor samples, video). The area appears to be quite stable overall; sediment import (including fluid mud) was detected only from the NW. Although hard substrates (boulders, bedrock) are clearly identified, the signal can be modified by inclination and biocover. Manually, six RoxAnn zones were identified; for the FCA, only three classes are suggested. The latter classification based on `hard' boundaries would suffice for stakeholder issues, but the former classification based on `soft' boundaries is preferred to meet state-of-the-art scientific objectives.

  4. Long-term solar UV radiation reconstructed by ANN modelling with emphasis on spatial characteristics of input data

    Directory of Open Access Journals (Sweden)

    U. Feister

    2008-06-01

    Full Text Available Artificial Neural Networks (ANN are efficient tools to derive solar UV radiation from measured meteorological parameters such as global radiation, aerosol optical depths and atmospheric column ozone. The ANN model has been tested with different combinations of data from the two sites Potsdam and Lindenberg, and used to reconstruct solar UV radiation at eight European sites by more than 100 years into the past. Special emphasis will be given to the discussion of small-scale characteristics of input data to the ANN model.

    Annual totals of UV radiation derived from reconstructed daily UV values reflect interannual variations and long-term patterns that are compatible with variabilities and changes of measured input data, in particular global dimming by about 1980/1990, subsequent global brightening, volcanic eruption effects such as that of Mt. Pinatubo, and the long-term ozone decline since the 1970s. Patterns of annual erythemal UV radiation are very similar at sites located at latitudes close to each other, but different patterns occur between UV radiation at sites in different latitude regions.

  5. Application of Artificial Neural Network (ANN for the prediction of EL-AGAMY wastewater treatment plant performance-EGYPT

    Directory of Open Access Journals (Sweden)

    Mahmoud S. Nasr

    2012-03-01

    Full Text Available A reliable model for any Wastewater Treatment Plant WWTP is essential in order to provide a tool for predicting its performance and to form a basis for controlling the operation of the process. This would minimize the operation costs and assess the stability of environmental balance. This paper focuses on applying an Artificial Neural Network (ANN approach with a Feed-Forward Back-Propagation to predict the performance of EL-AGAMY WWTP-Alexandria in terms of Chemical Oxygen Demand (COD, Biochemical Oxygen Demand (BOD and Total Suspended Solids (TSSs data gathered during a research over a 1-year period. The study signifies that the ANN can predict the plant performance with correlation coefficient (R between the observed and predicted output variables reached up to 0.90. Moreover, ANN provides an effective analyzing and diagnosing tool to understand and simulate the non-linear behavior of the plant, and is used as a valuable performance assessment tool for plant operators and decision makers.

  6. A new thermographic NDT for condition monitoring of electrical components using ANN with confidence level analysis.

    Science.gov (United States)

    Huda, A S N; Taib, S; Ghazali, K H; Jadin, M S

    2014-05-01

    Infrared thermography technology is one of the most effective non-destructive testing techniques for predictive faults diagnosis of electrical components. Faults in electrical system show overheating of components which is a common indicator of poor connection, overloading, load imbalance or any defect. Thermographic inspection is employed for finding such heat related problems before eventual failure of the system. However, an automatic diagnostic system based on artificial neural network reduces operating time, human efforts and also increases the reliability of system. In the present study, statistical features and artificial neural network (ANN) with confidence level analysis are utilized for inspection of electrical components and their thermal conditions are classified into two classes namely normal and overheated. All the features extracted from images do not produce good performance. Features having low performance reduce the diagnostic performance. The study reveals the performance of each feature individually for selecting the suitable feature set. In order to find the individual feature performance, each feature of thermal image was used as input for neural network and the classification of condition types were used as output target. The multilayered perceptron network using Levenberg-Marquardt training algorithm was used as classifier. The performances were determined in terms of percentage of accuracy, specificity, sensitivity, false positive and false negative. After selecting the suitable features, the study introduces the intelligent diagnosis system using suitable features as inputs of neural network. Finally, confidence percentage and confidence level were used to find out the strength of the network outputs for condition monitoring. The experimental result shows that multilayered perceptron network produced 79.4% of testing accuracy with 43.60%, 12.60%, 21.40, 9.20% and 13.40% highest, high, moderate, low and lowest confidence level respectively

  7. AI-based (ANN and SVM) statistical downscaling methods for precipitation estimation under climate change scenarios

    Science.gov (United States)

    Mehrvand, Masoud; Baghanam, Aida Hosseini; Razzaghzadeh, Zahra; Nourani, Vahid

    2017-04-01

    Since statistical downscaling methods are the most largely used models to study hydrologic impact studies under climate change scenarios, nonlinear regression models known as Artificial Intelligence (AI)-based models such as Artificial Neural Network (ANN) and Support Vector Machine (SVM) have been used to spatially downscale the precipitation outputs of Global Climate Models (GCMs). The study has been carried out using GCM and station data over GCM grid points located around the Peace-Tampa Bay watershed weather stations. Before downscaling with AI-based model, correlation coefficient values have been computed between a few selected large-scale predictor variables and local scale predictands to select the most effective predictors. The selected predictors are then assessed considering grid location for the site in question. In order to increase AI-based downscaling model accuracy pre-processing has been developed on precipitation time series. In this way, the precipitation data derived from various GCM data analyzed thoroughly to find the highest value of correlation coefficient between GCM-based historical data and station precipitation data. Both GCM and station precipitation time series have been assessed by comparing mean and variances over specific intervals. Results indicated that there is similar trend between GCM and station precipitation data; however station data has non-stationary time series while GCM data does not. Finally AI-based downscaling model have been applied to several GCMs with selected predictors by targeting local precipitation time series as predictand. The consequences of recent step have been used to produce multiple ensembles of downscaled AI-based models.

  8. Tuberculosis screening at the Sainte-Anne Hospital in Paris - results of first and second IGRA.

    Science.gov (United States)

    Nienhaus, Albert; Gariepy, Paul-Kenneth; Trouve, Catherine; Lhaumet, Christiane; Toureau, Jean; Peters, Claudia

    2014-01-01

    Healthcare workers (HCWs) are exposed to Mycobacterium tuberculosis (MTB) and therefore are screened for tuberculosis (TB). Results of TB screenings with the Interferon-γ Release Assay (IGRA) in a French psychiatric hospital without a TB ward are described. At the Sainte-Anne Hospital, a referral centre for psychiatric patients throughout the municipal region of Paris, IGRA screening is performed during pre-employment and general health examination or after potential contact to MTB. The QuantiFERON Gold in tube (QFT) is used and data on TB history are assessed in a standardized manner. Between August 2008 und August 2013 in total 1.192 HCWs were tested and the QFT was positive in 265 (22.2%). Probability of a positive QFT increased with age. A second QFT was performed in 144 HCWs with a positive QFT and 53 (36.8%) HCWs had a reversion. With a positive QFT close to the cut-off (e.g. 0.35-0.7 IU/ml) the odds ratio for a reversion was 4.6 compared to an INF-γ concentration of ≥3.0 IU/ml. Probability of reversion was not influenced by preventive chemotherapy, which was completed by 28 (19.4%) HCWs with a positive QFT. No active TB was detected. Prevalence of positive IGRA is high in French HCWs as is the number of reversions in IGRA. Reversion rate is particularly high around the cut-off of the IGRA. A borderline zone will therefore reduce the influence of test variability.

  9. E-kursus nõuab aega ja pühendumist / Ivo Leito, Irja Helm, Anne Krull ; intervjueerinud Laura Vetik

    Index Scriptorium Estoniae

    Leito, Ivo, 1972-

    2015-01-01

    Intervjuu Tartu Ülikooli keemiakursuse "Estimation of Measurement Uncertainty in Chemical Analysis" autorite Ivo Leito ja Irja Helmiga ning Tartu Kutsehariduskeskuse e-kursuse "Praktiline keemia" autori Anne Krulliga

  10. Modeling and optimization of thermal conductivity and viscosity of MnFe2O4nanofluid under magnetic field using an ANN.

    Science.gov (United States)

    Amani, Mohammad; Amani, Pouria; Kasaeian, Alibakhsh; Mahian, Omid; Pop, Ioan; Wongwises, Somchai

    2017-12-12

    This research investigates the applicability of an ANN and genetic algorithms for modeling and multiobjective optimization of the thermal conductivity and viscosity of water-based spinel-type MnFe 2 O 4 nanofluid. Levenberg-Marquardt, quasi-Newton, and resilient backpropagation methods are employed to train the ANN. The support vector machine (SVM) method is also presented for comparative purposes. Experimental results demonstrate the efficacy of the developed ANN with the LM-BR training algorithm and the 3-10-10-2 structure for the prediction of the thermophysical properties of nanofluids in terms of the significantly superior accuracy compared to developing the correlation and employing SVM regression. Moreover, the genetic algorithm is implemented to determine the optimal conditions, i.e., maximum thermal conductivity and minimum nanofluid viscosity, based on the developed ANN.

  11. Evaluation Of The Advanced Operating System Of The Ann Arbor Transportation Authority : Transfer And On-Time Performance Study : Before And After AOS Implementation, October 1996 - May 1999

    Science.gov (United States)

    1999-01-01

    In 1997, the Ann Arbor (Michigan) Transportation Authority began deploying advanced public transportation systems (APTS) technologies in its fixed route and paratransit operations. The project's concept is the integration of a range of such technolog...

  12. Robert Delpire, un précurseur dans l’édition pour la jeunesse des années 1950-1970

    Directory of Open Access Journals (Sweden)

    Michèle Piquard

    2010-06-01

    Full Text Available Je vais tenter, au cours de cet exposé, de montrer comment certains facteurs hétérogènes peuvent expliquer la stabilité relative de la production des éditeurs pour la jeunesse du début des années 1950 jusqu’au milieu des années 1960, puis son renouveau au cours des dix années suivantes, et quel rôle précurseur a joué, dans ce secteur, Robert Delpire.L’édition pour la jeunesse, dans les années 1950, est en partie l’héritière d’une industrie capitaliste qui s’est structurée au XIXe siècle autou...

  13. Evaluation Of The Advanced Operating System Of The Ann Arbor Transportation Authority : Driver And Dispatcher Perceptions Of AATA'S Advanced Operating System

    Science.gov (United States)

    1999-01-01

    In 1997, the Ann Arbor (Michigan) Transportation Authority began deploying advanced public transportation systems (APTS) technologies in its fixed route and paratransit operations. The project's concept is the integration of a range of such technolog...

  14. Evaluation Of The Advanced Operating System Of The Ann Arbor Transportation Authority : Cost Study : Before, During And After AOS Implementation (October 1996-May 1999)

    Science.gov (United States)

    1999-01-01

    In 1997, the Ann Arbor (Michigan) Transportation Authority (AATA) began deploying advanced public transportation systems (APTS) technologies in its fixed route and paratransit operations. The project's concept is the integration of a range of such te...

  15. Application of back-propagation artificial neural network (ANN) to predict crystallite size and band gap energy of ZnO quantum dots

    Science.gov (United States)

    Pelicano, Christian Mark; Rapadas, Nick; Cagatan, Gerard; Magdaluyo, Eduardo

    2017-12-01

    Herein, the crystallite size and band gap energy of zinc oxide (ZnO) quantum dots were predicted using artificial neural network (ANN). Three input factors including reagent ratio, growth time, and growth temperature were examined with respect to crystallite size and band gap energy as response factors. The generated results from neural network model were then compared with the experimental results. Experimental crystallite size and band gap energy of ZnO quantum dots were measured from TEM images and absorbance spectra, respectively. The Levenberg-Marquardt (LM) algorithm was used as the learning algorithm for the ANN model. The performance of the ANN model was then assessed through mean square error (MSE) and regression values. Based on the results, the ANN modelling results are in good agreement with the experimental data.

  16. Käopoeg võõras pesas / Riina Luik

    Index Scriptorium Estoniae

    Luik, Riina, 1962-

    2004-01-01

    Äsja Saksamaal ilmunud raamat "Käo-faktor" tekitas riigis lauspaanika - nimelt väidavad DNA-uurijad, et keskeltläbi iga kümnes sakslane on sündinud oma ema kõrvalsuhtest. Samas vastab küsimustele raamatu autor, bioloog ja Müncheni geeniuuringulabori Genedia juht dr. Hildegard Haas. Vt. ka Infopress 10. dets., lk. 32-33

  17. Prantsusmaa silub Ida-Euroopga suhteid / Riina Luik

    Index Scriptorium Estoniae

    Luik, Riina, 1962-

    2004-01-01

    Prantsusmaa peaminister Jean-Pierre Raffarin kohtus Pariisis Ida-Euroopa ajakirjanikega ja rääkis EL-i riikide suhetest ja majanduskoostööst. Vt. samas: Andres Kasekamp. Näpuga viibutamise aeg on möödas. Lisa: Jean-Pierre Raffarin (55)

  18. Rulasõidu evolutsioon linnadžunglis / Ats Luik

    Index Scriptorium Estoniae

    Luik, Ats

    2011-01-01

    2.- 4. veebr. kinos Artis toimuvast Simpel Session 11 rula- ja rattafilmide festivalist. 3. veebruaril saab näha Coan Nicholsi ja Rick Charnoski filmi "Deathbowl to Downtown - The Evolution of Skateboarding in New York City" (USA 2010)

  19. Salto! / Karli Luik, Maarja Kask, Ralf Lõoke ; intervjueerinud Margit Mutso

    Index Scriptorium Estoniae

    Luik, Karli, 1977-

    2011-01-01

    Eesti Kultuurkapitali 2010. a. arhitektuuri peapreemia pälvis AB Salto Eesti Maanteemuuseumi väliala ja Sõmeru keskusehoone lahenduse eest. Büroo arhitektid oma büroost, osalemiset arhitektuurivõistlustel, valminud ja käsilolevatest töödest. Valik AB Salto arhitektuurikonkursil pälvitud jt. preemiatest

  20. Interview with Karli Luik from Salto / intervjueerinud Eero Epner

    Index Scriptorium Estoniae

    Luik, Karli, 1977-

    2011-01-01

    2004. a. loodud arhitektuuribüroost Salto. Büroo kavandatud hoonete arhitektuurist, selle omapärast, ühiskondlike hoonete suurest osakaalust, arvestamisest keskkonnaga, Eesti varasema arhitektuuri mõjust, büroo hetkeseisust ja tulevikuplaanidest

  1. Kohtumine vaikuse teel / Norbert Roztock ; intervjueerinud Riina Luik

    Index Scriptorium Estoniae

    Roztock, Norbert

    2009-01-01

    Poola fotograafi Norbert Roztocki fotonäitus Bielany eremiitliku mungakloostri elust "Camaldoli pühad isad" Tallinnas Dominiiklaste kloostris 20. augustini. Autor fotosarja sünnist, tagamaadest, kloostris veedetud ajast

  2. Troopiline paradiis otse Euroopa südames / Riina Luik

    Index Scriptorium Estoniae

    Luik, Riina, 1962-

    2010-01-01

    Berliini-Dresdeni kiirtee ääres asuvast troopilisest veekeskusest Tropical Islands, mis pakub siseruumis rannapuhkust ja rõõmustab puhkajat ookeani, vihmametsa, kämpinguala, kohvikute, jõusaali, saunade, erinevate meelelahutusetendustega jne

  3. Ronald Reagan ja Eesti iseseisvus / Jüri Luik

    Index Scriptorium Estoniae

    Luik, Jüri, 1966-

    2004-01-01

    Eesti suursaadik USA-s kinnitab, et USA ekspresident Ronald Reagan äratas idablokis inimeste moraalse ja vaimse jõu, hävitas hirmu ning Eesti võlgneb talle huku äärelt pääsemise. Reagani revolutsioonilisest jõust nii sise- kui välispoliitikas, kommunismivastasusest ja NSVL-i vaimsest purustamisest

  4. Lilleke, Luik ja Sinine Ingel / Agnes Jürgens

    Index Scriptorium Estoniae

    Jürgens, Agnes, 1954-

    2008-01-01

    Keskkonnaministeeriumi tellimusel valminud Säästva Eesti Instituudi uuringust selgus, et Eestis müüakse enim Põhjamaade Luige, Euroopa Liidu Lillekese ja Saksamaa Sinise Ingli ökomärgist kandvaid tooteid

  5. Palvetaks õige president Bushi eest? / Hans H. Luik

    Index Scriptorium Estoniae

    Luik, Hans H., 1961-

    2008-01-01

    USA kohtus pole arutusele võetud ühtegi 2001. aasta 11. septembril hukkunute lähedaste hagi. Kui kohus hakkaks asja sisuliselt arutama, peaks valitsus esitama tõendeid, mida katastroofi kohta on kogutud. Muuhulgas on juttu ka artikli autori nelja aasta tagusest kihlveost Toomas Hendrik Ilvesega, kes oli tollal Euroopa Parlamendi väliskomisjoni aseesimees. T. H. Ilves vedas kihla, et suudab leida liikuva pildi või foto sellest, kuidas Boeing 757 sõidab 11. septembril 2001 sisse USA sõjaministeeriumi hoonesse, kuid kaotas kihlveo

  6. Suurkogu ja Suurmõmmik / Hans H. Luik

    Index Scriptorium Estoniae

    Luik, Hans H., 1961-

    2011-01-01

    Mart Laar on IRL-i juhatuses pigem Res Publica pantvang, sümbol valijate jaoks. Autori hinnangul võib Mart Laar, nähes, et tal tuleval aastal IRLi suurkogul šanssi ei ole, ühineda ehk ka ise endiste Isamaaliidu juhatuse liikmetega

  7. Steve Jobs, Ameerika Hans H. Luik / Kertu Ruus

    Index Scriptorium Estoniae

    Ruus, Kertu, 1977-

    2007-01-01

    Autor võrdleb Apple'i asutajat ja juhti Steve Jobsi Eesti meediaärimehe Hans H. Luigega. Vt. samas: Jobs: ärge raisake aega teiste elu elamisele; Forbes: iPhone'ist saab Apple'i suur hitt; CV: Steven Paul Jobs. Diagramm: Apple'i aktsia

  8. Facteurs prédictifs de succès des étudiants en première année de ...

    African Journals Online (AJOL)

    Conclusion: Les meilleurs prédicateurs du succès en première année étaient une bonne moyenne en sciences physiques au BAC et une mention bien. La prise en compte de ces éléments dans le recrutement des étudiants en première année pourrait améliorer les résultats académiques. Pan African Medical Journal 2016 ...

  9. Kuldne Salto: Ralf Lõoke, Maarja Kask ja Karli Luik / Ralf Lõoke, Maarja Kask, Karli Luik ; intervjueerinud Tanel Veenre

    Index Scriptorium Estoniae

    Lõoke, Ralf, 1978-

    2010-01-01

    Arhitektuurivõistlustel edukalt esinenud büroo Salto arhitektid buumiajast, kui tööd oli meeletult palju, tööde skaalast, reisimisest, oma tööst ja meeskonnatööst, konkurssidel osalemisest, projektist "Gaasitoru", Tallinnast, unistuste kodust. Konkursivõite 2004-2009

  10. Land Degradation Monitoring in the Ordos Plateau of China Using an Expert Knowledge and BP-ANN-Based Approach

    Directory of Open Access Journals (Sweden)

    Yaojie Yue

    2016-11-01

    Full Text Available Land degradation monitoring is of vital importance to provide scientific information for promoting sustainable land utilization. This paper presents an expert knowledge and BP-ANN-based approach to detect and monitor land degradation in an effort to overcome the deficiencies of image classification and vegetation index-based approaches. The proposed approach consists of three generic steps: (1 extraction of knowledge on the relationship between land degradation degree and predisposing factors, which are NDVI and albedo, from domain experts; (2 establishment of a land degradation detecting model based on the BP-ANN algorithm; and (3 land degradation dynamic analysis. A comprehensive analysis was conducted on the development of land degradation in the Ordos Plateau of China in 1990, 2000 and 2010. The results indicate that the proposed approach is reliable for monitoring land degradation, with an overall accuracy of 91.2%. From 1990–2010, a reverse trend of land degradation is observed in Ordos Plateau. Regions with relatively high land degradation dynamic were mostly located in the northeast of Ordos Plateau. Additionally, most of the regions have transferred from a hot spot of land degradation to a less changed area. It is suggested that land utilization optimization plays a key role for effective land degradation control. However, it should be highlighted that the goals of such strategies should aim at the main negative factors causing land degradation, and the land use type and its quantity must meet the demand of population and be reconciled with natural conditions. Results from this case study suggest that the expert knowledge and BP-ANN-based approach is effective in mapping land degradation.

  11. Using ANN to predict E. coli accumulation in coves based on interaction amongst various physical, chemical and biological factors

    Science.gov (United States)

    Dwivedi, D.; Mohanty, B. P.; Lesikar, B. J.

    2008-12-01

    The accumulation of Escherichia Coli (E. coli) in canals, coves and streams is the result of a number of interacting processes operating at multiple spatial and temporal scales. Fate and transport of E. coli in surface water systems is governed by different physical, chemical, and biological processes. Various models developed to quantify each of these processes occurring at different scales are not so far pooled into a single predictive model. At present, very little is known about the fate and transport of E. coli in the environment. We hypothesize that E. coli population heterogeneity in canals and coves is affected by physical factors (average stream width and/ depth, secchi depth, flow and flow severity, day since precipitation, aquatic vegetation, solar radiation, dissolved and total suspended solids etc.); chemical factors (basic water quality, nutrients, organic compounds, pH, and toxicity etc.); and biological factors (type of bacterial strain, predation, and antagonism etc.). The specific objectives of this study are to: (1) examine the interactions between E. coli and various coupled physical, chemical and biological factors; (2) examine the interactions between E. coli and toxic organic pollutants and other pathogens (viruses); and (3) evaluate qualitatively the removal efficiency of E. coli. We suggest that artificial neural networks (ANN) may be used to provide a possible solution to this problem. To demonstrate the application of the approach, we develop an ANN representing E. coli accumulation in two polluted sites at Lake Granbury in the upper part of the Brazos River in North Central Texas. The graphical structure of ANN explicitly represents cause- and-effect relationship between system variables. Each of these relationships can then be quantified independently using an approach suitable for the type and scale of information available. Preliminary results revealed that E. coli concentrations in canals show seasonal variations regardless of change

  12. Metaphor as Self-Discovery in Anne Carson’s Autobiography of Red: A Novel in Verse

    Directory of Open Access Journals (Sweden)

    Sébastien DUCASSE

    2007-06-01

    Full Text Available In the gap between what one wants to say (or what one perceives there is to say and what one can say (what is sayable, words provide for a collaboration and a desertion. We delight in our sensuous involvement with the materials of language, we long to join words to the world- to close the gap between ourselves and things- and we suffer from doubt and anxiety because of our inability to do so. (Lyn Hejinian The Language of InquiryAnne Carson is a contemporary Canadian poet, essayist and tra...

  13. Metaphor as Self-Discovery in Anne Carson’s Autobiography of Red: A Novel in Verse

    OpenAIRE

    DUCASSE, Sébastien

    2012-01-01

    In the gap between what one wants to say (or what one perceives there is to say) and what one can say (what is sayable), words provide for a collaboration and a desertion. We delight in our sensuous involvement with the materials of language, we long to join words to the world- to close the gap between ourselves and things- and we suffer from doubt and anxiety because of our inability to do so. (Lyn Hejinian The Language of Inquiry)Anne Carson is a contemporary Canadian poet, essayist and tra...

  14. Ann Crabbé and Pieter Leroy, 2008, The Handbook of Environmental Policy Evaluation, Earthscan, London, 202 p.

    Directory of Open Access Journals (Sweden)

    François Destandau

    2010-09-01

    Full Text Available Ann Crabbé de l’Université d’Anvers (Belgique et Pieter Leroy de l’Université de Nijmegen (Pays-Bas proposent ici un ouvrage pionnier sur l’évaluation appliquée aux politiques environnementales. Ce manuel s’inspire des enseignements théoriques et méthodologiques des sciences politiques et sociales. Les auteurs y présentent un panel de méthodes adaptées aux politiques environnementales, de façon pratique et accessible. « Peut-on identifier une relation de causalité entre l’intervention polit...

  15. AnnAGNPS model as a potential tool for seeking adequate agriculture land management in Navarre (Spain)

    Science.gov (United States)

    Chahor, Y.; Giménez, R.; Casalí, J.

    2012-04-01

    Nowadays agricultural activities face two important challenges. They must be efficient from an economic point of view but with low environment impacts (soil erosion risk, nutrient/pesticide contamination, greenhouse gases emissions, etc.). In this context, hydrological and erosion models appear as remarkable tools when looking for the best management practices. AnnAGNPS (Annualized Agricultural Non Point Source Pollution) is a continuous simulation watershed-scale model that estimates yield and transit of surface water, sediment, nutrients, and pesticides through a watershed. This model has been successfully evaluated -in terms of annual runoff and sediment yield- in a small (around 200 ha) agricultural watershed located in central eastern part of Navarre (Spain), named Latxaga. The watershed is under a humid Sub-Mediterranean climate. It is cultivated almost entirely with winter cereals (wheat and barley) following conventional soil and tillage management practices. The remaining 15% of the watershed is covered by urban and shrub areas. The aim of this work is to evaluate in Latxga watershed the effect of potential and realistic changes in land use and management on surface runoff and sediment yield by using AnnAGNPS. Six years (2003 - 2008) of daily climate data were considered in the simulation. This dataset is the same used in the model evaluation previously made. Six different scenarios regarding soil use and management were considered: i) 60% cereals25% sunflower; ii) 60% cereals, 25% rapeseed; iii) 60% cereals, 25% legumes; iv) 60% cereals, 25% sunflower + rapeseed+ legumes, in equal parts; v) cereals, and alternatively different amount of shrubs (from 20% to 100% ); vi) only cereal but under different combinations of conventional tillage and no-tillage management. Overall, no significant differences in runoff generation were observed with the exception of scenario iii (in which legume is the main alternative crops), whit a slight increase in predicted

  16. Determination of oil well production performance using artificial neural network (ANN linked to the particle swarm optimization (PSO tool

    Directory of Open Access Journals (Sweden)

    Mohammad Ali Ahmadi

    2015-06-01

    In this work, novel and rigorous methods based on two different types of intelligent approaches including the artificial neural network (ANN linked to the particle swarm optimization (PSO tool are developed to precisely forecast the productivity of horizontal wells under pseudo-steady-state conditions. It was found that there is very good match between the modeling output and the real data taken from the literature, so that a very low average absolute error percentage is attained (e.g., <0.82%. The developed techniques can be also incorporated in the numerical reservoir simulation packages for the purpose of accuracy improvement as well as better parametric sensitivity analysis.

  17. Another Deleuzian Resnais: l'année dernière à Marienbad as conflict between sadism and masochism

    OpenAIRE

    Reader, K.

    2008-01-01

    The Deleuzian reading of L'Année dernière à Marienbad proposed here draws less on what has become a virtually canonical concept in film studies – Deleuze's time-image – than on a much earlier work by the same author, Masochism, which treats sadism and masochism as qualitatively different symbolic universes. Resnais's film, with its deployment of mirrors and statuary and its suggestion of a contract between the characters A and X, presents striking resemblances to the world of masochism as des...

  18. Capacitance Estimation Algorithm based on DC-Link Voltage Harmonics Using ANN in Three-Phase Motor Drive Systems

    DEFF Research Database (Denmark)

    Soliman, Hammam Abdelaal Hammam; Davari, Pooya; Wang, Huai

    2017-01-01

    to industry. In this digest, a condition monitoring methodology that estimates the capacitance value of the dc-link capacitor in a three phase Front-End diode bridge motor drive is proposed. The proposed software methodology is based on Artificial Neural Network (ANN) algorithm. The harmonics of the dc......-link voltage are used as training data to the Artificial Neural Network. Fast Fourier Transform (FFT) of the dc-link voltage is analysed in order to study the impact of capacitance variation on the harmonics order. Laboratory experiments are conducted to validate the proposed methodology and the error analysis...

  19. Análise das principais etiologias de deficiência auditiva em Escola Especial "Anne Sullivan"

    OpenAIRE

    Cecatto Suzana B.; Garcia Roberta I. D.; Costa Kátia S.; Abdo Tatiana R. T.; Rezende Carlos E. B.; Rapoport Priscila B.

    2003-01-01

    OBJETIVO: Determinar as principais etiologias de deficiência auditiva em estudantes da Escola de Ensino Especial para surdos "Anne Sullivan" em São Caetano do Sul e comparar com os dados da literatura mundial. FORMA DE ESTUDO: Estudo retrospectivo. MATERIAL E MÉTODO: Cento e trinta e um alunos da escola no ano de 2001 foram avaliados através de análise de seus prontuários, levando-se em conta dados de anamnese com a família, exame físico otorrinolaringológico, avaliação fonoaudiológica e psic...

  20. WE-A-201-00: Anne and Donald Herbert Distinguished Lectureship On Modern Statistical Modeling

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2016-06-15

    Regulatory Commission and may be remembered for his critique of the National Academy of Sciences BEIR III report (stating that their methodology “imposes a Delphic quality to the .. risk estimates”.) This led to his appointment as a member of the BEIR V committee. Don presented refresher courses at the AAPM, ASTRO and RSNA meetings and was active in the AAPM as a member or chair of several committees. He was the principal author of AAPM Report 43, which is essentially a critique of established clinical studies prior to 1992. He was co-editor of the Proceedings of many symposia on Time, Dose and Fractionation held in Madison, Wisconsin. He received the AAPM lifetime Achievement award in 2004. Don’s second wife of 46 years, Ann, predeceased him and he is survived by daughters Hillary and Emily, son John and two grandsons. Don was a true gentleman with a unique and erudite writing style illuminated by pithy quotations. If he had a fault it was, perhaps, that he did not realize how much smarter he was than the rest of us. This presentation draws heavily on a biography and video interview in the History and Heritage section of the AAPM website. The quote is his own. Andrzej Niemierko: Statistical modeling plays an essential role in modern medicine for quantitative evaluation of the effect of treatment. This session will feature an overview of statistical modeling techniques used for analyzing the many types of research data and an exploration of recent advances in new statistical modeling methodologies. Learning Objectives: To learn basics of statistical modeling methodology. To discuss statistical models that are frequently used in radiation oncology To discuss advanced modern statistical modeling methods and applications.

  1. Comparison between Possibilistic c-Means (PCM and Artificial Neural Network (ANN Classification Algorithms in Land use/ Land cover Classification

    Directory of Open Access Journals (Sweden)

    Ganchimeg Ganbold

    2017-03-01

    Full Text Available There are several statistical classification algorithms available for landuse/land cover classification. However, each has a certain bias orcompromise. Some methods like the parallel piped approach in supervisedclassification, cannot classify continuous regions within a feature. Onthe other hand, while unsupervised classification method takes maximumadvantage of spectral variability in an image, the maximally separableclusters in spectral space may not do much for our perception of importantclasses in a given study area. In this research, the output of an ANNalgorithm was compared with the Possibilistic c-Means an improvementof the fuzzy c-Means on both moderate resolutions Landsat8 and a highresolution Formosat 2 images. The Formosat 2 image comes with an8m spectral resolution on the multispectral data. This multispectral imagedata was resampled to 10m in order to maintain a uniform ratio of1:3 against Landsat 8 image. Six classes were chosen for analysis including:Dense forest, eucalyptus, water, grassland, wheat and riverine sand. Using a standard false color composite (FCC, the six features reflecteddifferently in the infrared region with wheat producing the brightestpixel values. Signature collection per class was therefore easily obtainedfor all classifications. The output of both ANN and FCM, were analyzedseparately for accuracy and an error matrix generated to assess the qualityand accuracy of the classification algorithms. When you compare theresults of the two methods on a per-class-basis, ANN had a crisperoutput compared to PCM which yielded clusters with pixels especiallyon the moderate resolution Landsat 8 imagery.

  2. An experimental study of interstitial lung tissue classification in HRCT images using ANN and role of cost functions

    Science.gov (United States)

    Dash, Jatindra K.; Kale, Mandar; Mukhopadhyay, Sudipta; Khandelwal, Niranjan; Prabhakar, Nidhi; Garg, Mandeep; Kalra, Naveen

    2017-03-01

    In this paper, we investigate the effect of the error criteria used during a training phase of the artificial neural network (ANN) on the accuracy of the classifier for classification of lung tissues affected with Interstitial Lung Diseases (ILD). Mean square error (MSE) and the cross-entropy (CE) criteria are chosen being most popular choice in state-of-the-art implementations. The classification experiment performed on the six interstitial lung disease (ILD) patterns viz. Consolidation, Emphysema, Ground Glass Opacity, Micronodules, Fibrosis and Healthy from MedGIFT database. The texture features from an arbitrary region of interest (AROI) are extracted using Gabor filter. Two different neural networks are trained with the scaled conjugate gradient back propagation algorithm with MSE and CE error criteria function respectively for weight updation. Performance is evaluated in terms of average accuracy of these classifiers using 4 fold cross-validation. Each network is trained for five times for each fold with randomly initialized weight vectors and accuracies are computed. Significant improvement in classification accuracy is observed when ANN is trained by using CE (67.27%) as error function compared to MSE (63.60%). Moreover, standard deviation of the classification accuracy for the network trained with CE (6.69) error criteria is found less as compared to network trained with MSE (10.32) criteria.

  3. Design of an Experiment to Measure ann Using 3H(γ, pnn at HIγS★

    Directory of Open Access Journals (Sweden)

    Friesen F.Q.L.

    2016-01-01

    Full Text Available We provide an update on the development of an experiment at TUNL for determining the 1S0 neutron-neutron (nn scattering length (ann from differential cross-section measurements of three-body photodisintegration of the triton. The experiment will be conducted using a linearly polarized gamma-ray beam at the High Intensity Gamma-ray Source (HIγS and tritium gas contained in thin-walled cells. The main components of the planned experiment are a 230 Ci gas target system, a set of wire chambers and silicon strip detectors on each side of the beam axis, and an array of neutron detectors on each side beyond the silicon detectors. The protons emitted in the reaction are tracked in the wire chambers and their energy and position are measured in silicon strip detectors. The first iteration of the experiment will be simplified, making use of a collimator system, and silicon detectors to interrogate the main region of interest near 90° in the polar angle. Monte-Carlo simulations based on rigorous 3N calculations have been conducted to validate the sensitivity of the experimental setup to ann.

  4. Probing into the Molecular Requirements for Antioxidant Activity in Plant Phenolic Compounds Utilizing a Combined Strategy of PCA and ANN.

    Science.gov (United States)

    Agatonovic-Kustrin, Snezana; Morton, David W; Ristivojevic, Petar

    2017-01-01

    This study investigates molecular structural requirements that are responsible for the antioxidant activity in phenolic compounds. Antioxidant activity of compounds was determined with a 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical assay. Principal component analysis (PCA) was used to classify phenolic antioxidants according to the key molecular features that contribute to their antioxidant activity. Artificial neutral networks (ANNs) was used to develop a predictive QSAR model. Both models agreed that structural characteristics of phenolic compounds responsible for the antioxidant activity include: (1) number and position of alcohol groups on the aromatic ring; (2) molecular size; (3) flexibility/bulkiness; and (4) water solubility. PCA has classified data into phenolic acids and flavonoids, suggesting two distinct mechanisms of action. ANN has confirmed different mechanisms of action for flavonoids and polyphenolic acids, i.e. breaking of free radical chain reactions by donation of a hydrogen atom to neutralise a free radical and the chelating ability of polyphenolic acids. Although two phenolic acids may have the same relative polarity, their different functional groups may drastically change the nature of their interactions with free radicals, and their antioxidant activity. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  5. ANN and RSM approach for modeling and optimization of designing parameters for a V down perforated baffle roughened rectangular channel

    Directory of Open Access Journals (Sweden)

    Sunil Chamoli

    2015-09-01

    Full Text Available The turbulence promoters are widely used to enhance the performance of rectangular channel which were used for turbine blade passage cooling. In the present study, the influence of design parameters of the V down perforated baffle roughened rectangular channel on the heat transfer and friction factor was investigated using RSM and ANN. The quadratic model generated by RSM is used to predict the performance parameters, i.e. Nusselt number and friction factor with reasonably good accuracy. The optimum values of the design parameters of the V down perforated baffle roughened rectangular channel are relative roughness pitch of 2.6, relative roughness height of 0.33, open area ratio of 18% and Reynolds number of 18,500, in the desirable range of the order of 0.95. The training of the experimental data is carried out using 4-10-2 neural network and the predicted values are compared with the experimental values and found deviation in the range of ±10% among predicted and experimental values. The comparison of predicted values by RSM and ANN with the experimental values was carried out for each run of experiment and it was observed that the RSM predicted values are in accord with the experimental values in the uncertainty range of ±5%.

  6. Application of experimental design approach and artificial neural network (ANN) for the determination of potential micellar-enhanced ultrafiltration process.

    Science.gov (United States)

    Rahmanian, Bashir; Pakizeh, Majid; Mansoori, Seyed Ali Akbar; Abedini, Reza

    2011-03-15

    In this study, micellar-enhanced ultrafiltration (MEUF) was applied to remove zinc ions from wastewater efficiently. Frequently, experimental design and artificial neural networks (ANNs) have been successfully used in membrane filtration process in recent years. In the present work, prediction of the permeate flux and rejection of metal ions by MEUF was tested, using design of experiment (DOE) and ANN models. In order to reach the goal of determining all the influential factors and their mutual effect on the overall performance the fractional factorial design has been used. The results show that due to the complexity in generalization of the MEUF process by any mathematical model, the neural network proves to be a very promising method in compared with fractional factorial design for the purpose of process simulation. These mathematical models are found to be reliable and predictive tools with an excellent accuracy, because their AARE was ±0.229%, ±0.017%, in comparison with experimental values for permeate flux and rejection, respectively. Copyright © 2010 Elsevier B.V. All rights reserved.

  7. An ANN-based approach to predict blast-induced ground vibration of Gol-E-Gohar iron ore mine, Iran

    Directory of Open Access Journals (Sweden)

    Mahdi Saadat

    2014-02-01

    Full Text Available Blast-induced ground vibration is one of the inevitable outcomes of blasting in mining projects and may cause substantial damage to rock mass as well as nearby structures and human beings. In this paper, an attempt has been made to present an application of artificial neural network (ANN to predict the blast-induced ground vibration of the Gol-E-Gohar (GEG iron mine, Iran. A four-layer feed-forward back propagation multi-layer perceptron (MLP was used and trained with Levenberg–Marquardt algorithm. To construct ANN models, the maximum charge per delay, distance from blasting face to monitoring point, stemming and hole depth were taken as inputs, whereas peak particle velocity (PPV was considered as an output parameter. A database consisting of 69 data sets recorded at strategic and vulnerable locations of GEG iron mine was used to train and test the generalization capability of ANN models. Coefficient of determination (R2 and mean square error (MSE were chosen as the indicators of the performance of the networks. A network with architecture 4-11-5-1 and R2 of 0.957 and MSE of 0.000722 was found to be optimum. To demonstrate the supremacy of ANN approach, the same 69 data sets were used for the prediction of PPV with four common empirical models as well as multiple linear regression (MLR analysis. The results revealed that the proposed ANN approach performs better than empirical and MLR models.

  8. Prediction of temperature and HAZ in thermal-based processes with Gaussian heat source by a hybrid GA-ANN model

    Science.gov (United States)

    Fazli Shahri, Hamid Reza; Mahdavinejad, Ramezanali

    2018-02-01

    Thermal-based processes with Gaussian heat source often produce excessive temperature which can impose thermally-affected layers in specimens. Therefore, the temperature distribution and Heat Affected Zone (HAZ) of materials are two critical factors which are influenced by different process parameters. Measurement of the HAZ thickness and temperature distribution within the processes are not only difficult but also expensive. This research aims at finding a valuable knowledge on these factors by prediction of the process through a novel combinatory model. In this study, an integrated Artificial Neural Network (ANN) and genetic algorithm (GA) was used to predict the HAZ and temperature distribution of the specimens. To end this, a series of full factorial design of experiments were conducted by applying a Gaussian heat flux on Ti-6Al-4 V at first, then the temperature of the specimen was measured by Infrared thermography. The HAZ width of each sample was investigated through measuring the microhardness. Secondly, the experimental data was used to create a GA-ANN model. The efficiency of GA in design and optimization of the architecture of ANN was investigated. The GA was used to determine the optimal number of neurons in hidden layer, learning rate and momentum coefficient of both output and hidden layers of ANN. Finally, the reliability of models was assessed according to the experimental results and statistical indicators. The results demonstrated that the combinatory model predicted the HAZ and temperature more effective than a trial-and-error ANN model.

  9. Le développement de la normalisation comptable et de la comptabilité nationale en France entre les années 1920 et les années 1960, des analogies singulières

    OpenAIRE

    Touchelay, Béatrice

    2010-01-01

    Les particularités de la relation entre la comptabilité privée et la comptabilité nationale en France s'inscrivent dans leur histoire. Elles témoignent d'une conception singulière de l'information économique et des relations entre l'Etat, les entreprises, les économistes et les comptables. Ces particularités tiennent à l'histoire de la comptabilité nationale et de la normalisation des comptabilités générale privées entre les années 1920, quand apparaît l'idée d'un usage macro économique des d...

  10. Comparison of estimation capabilities of response surface methodology (RSM with artificial neural network (ANN in lipase-catalyzed synthesis of palm-based wax ester

    Directory of Open Access Journals (Sweden)

    Salleh Abu

    2007-08-01

    Full Text Available Abstract Background Wax esters are important ingredients in cosmetics, pharmaceuticals, lubricants and other chemical industries due to their excellent wetting property. Since the naturally occurring wax esters are expensive and scarce, these esters can be produced by enzymatic alcoholysis of vegetable oils. In an enzymatic reaction, study on modeling and optimization of the reaction system to increase the efficiency of the process is very important. The classical method of optimization involves varying one parameter at a time that ignores the combined interactions between physicochemical parameters. RSM is one of the most popular techniques used for optimization of chemical and biochemical processes and ANNs are powerful and flexible tools that are well suited to modeling biochemical processes. Results The coefficient of determination (R2 and absolute average deviation (AAD values between the actual and estimated responses were determined as 1 and 0.002844 for ANN training set, 0.994122 and 1.289405 for ANN test set, and 0.999619 and 0.0256 for RSM training set respectively. The predicted optimum condition was: reaction time 7.38 h, temperature 53.9°C, amount of enzyme 0.149 g, and substrate molar ratio 1:3.41. The actual experimental percentage yield was 84.6% at optimum condition, which compared well to the maximum predicted value by ANN (83.9% and RSM (85.4%. The order of effective parameters on wax ester percentage yield were; respectively, time with 33.69%, temperature with 30.68%, amount of enzyme with 18.78% and substrate molar ratio with 16.85%, whereas R2 and AAD were determined as 0.99998696 and 1.377 for ANN, and 0.99991515 and 3.131 for RSM respectively. Conclusion Though both models provided good quality predictions in this study, yet the ANN showed a clear superiority over RSM for both data fitting and estimation capabilities.

  11. Une Nouvelle Forme d’Autobiographie dans Les Années d’Annie Ernaux: Autobiographie Impersonnelle

    Directory of Open Access Journals (Sweden)

    Seçil Yücedağ

    2017-12-01

    Full Text Available Annie Ernaux, considérée comme l’une des femmes écrivaines les plus célèbres du XXIe siècle, a exprimé l’angoisse commune de son âge et de son passé en rédigeant Les Années. Elle n’avait pas non seulement le but de décrire sa vie, mais aussi d’esquisser l’histoire de la société française à laquelle elle appartient. Lorsqu’elle est venue au monde en 1940, le monde était au seuil de la Seconde Guerre mondiale. Etant élevée dans cette atmosphère chaotique, elle a appris beaucoup de choses de sa société, de sa famille et de son environnement. Annie Ernaux a découvert le monde comme une jeune fille, une mère, une épouse et une grand-mère. Ses expériences sociales et familiales l’ont beaucoup mûrie et elle a commencé à rédiger ses pensées. Ses souvenirs ont fait partie de ses écritures autobiographiques. Dans Les Années, Annie Ernaux a profité de toutes ses expériences personnelles et sociales avec de différents moyens. Elle a essayé d’établir des liens entre l’histoire de sa vie et celle de la société. Elle a accordé une importance à la vie sociale plutôt que sa propre vie dans Les Années. Elle y a développé des propres techniques d’écriture en se servant des photos familiales et personnelles, d’un film, d’une vidéo, des marques de publicité, des chansons, d’un tableau, des notes de journal ainsi que des événements sociologiques et historiques. Elle a ainsi créé une nouvelle forme d’autobiographie : autobiographie impersonnelle.

  12. Forward Greedy ANN input selection in a stacked framework with Adaboost.RT - A streamflow forecasting case study exploiting radar rainfall estimates

    Science.gov (United States)

    Brochero, D.; Anctil, F.; Gagné, C.

    2012-04-01

    In input selection (or feature selection), modellers are interested in identifying k of the d dimensions that provide the most information. In hydrology, this problem is particularly relevant when dealing with temporally and spatially distributed data such as radar rainfall estimates or meteorological ensemble forecasts. The most common approaches for input determination of artifitial neural networks (ANN) in water resources are cross-correlation, heuristics, embedding window analysis (chaos theory), and sensitivity analyses. We resorted here to Forward Greedy Selection (FGS), a sensitivity analysis, for identifying the inputs that maximize the performance of ANN forecasting. It consists of a pool of ANNs with different structures, initial weights, and training data subsets. The stacked ANN model was setup through the joint use of stop training and a special type of boosting for regression known as AdaBoost.RT. Several ANN are then used in series, each one exploiting, with incremental probability, data with relative estimation error higher than a pre-set threshold value. The global estimate is then obtained from the aggregation of the estimates of the models (here the median value). Two schemes are compared here, which differ in their input type. The first scheme looks at lagged radar rainfall estimates averaged over entire catchment (the average scenario), while the second scheme deals with the spatial variation fields of the radar rainfall estimates (the distributed scenario). Results lead to three major findings. First, stacked ANN response outperforms the best single ANN (in the same way as many others reports). Second, a positive gain in the test subset of around 20%, when compared to the average scenario, is observed in the distributed scenario. However, the most important result from the selecting process is the final structure of the inputs, for the distributed scenario clearly outlines the areas with the greatest impact on forecasting in terms of the

  13. Modeling and prediction of surface roughness for running-in wear using Gauss-Newton algorithm and ANN

    Science.gov (United States)

    Hanief, M.; Wani, M. F.

    2015-12-01

    In this paper, surface roughness model for running-in and steady state of the wear process is proposed. In this work monotonously decreasing trend of surface roughness during running-in was assumed. The model was developed by considering the surface roughness as an explicit function of time during running-in, keeping other system parameters (velocity, load, hardness, etc.) constant. The proposed model being non-linear, optimal values of the model parameters were evaluated by Gauss-Newton (GN) algorithm. The experimental results adopted from the literature, for steel and Cu-Zn alloy specimens, were used for validation of the model. Artificial neural network (ANN) based model was also developed and was compared with the proposed model on the basis of statistical methods (coefficient of determination (R2), mean square error (MSE) and mean absolute percentage error (MAPE)).

  14. Capacitance Estimation Algorithm based on DC-Link Voltage Harmonics Using ANN in Three-Phase Motor Drive Systems

    DEFF Research Database (Denmark)

    Soliman, Hammam Abdelaal Hammam; Davari, Pooya; Wang, Huai

    2017-01-01

    to industry. In this digest, a condition monitoring methodology that estimates the capacitance value of the dc-link capacitor in a three phase Front-End diode bridge motor drive is proposed. The proposed software methodology is based on Artificial Neural Network (ANN) algorithm. The harmonics of the dc......-link voltage are used as training data to the Artificial Neural Network. Fast Fourier Transform (FFT) of the dc-link voltage is analysed in order to study the impact of capacitance variation on the harmonics order. Laboratory experiments are conducted to validate the proposed methodology and the error analysis......In modern design of power electronic converters, reliability of dc-link capacitors is one of the critical considered aspects. The industrial field have been attracted to the monitoring of their health condition and the estimation of their ageing process status. However, the existing condition...

  15. Le Yémen dans les années 80 : entre crises et développement

    Directory of Open Access Journals (Sweden)

    Paul Dresch

    2002-09-01

    Full Text Available Au cours des années 1980 se sont dessinées les tendances structurelles qui allaient modeler le régime politique et le développement économique du Yémen du Nord et, par la suite, le pays tout entier. Les « bonnes feuilles » qui suivent sont extraites de l’ouvrage A History of Modern Yemen, de Paul Dresch. Elles ont une double vocation : donner quelques aperçus de cet arrière-plan historique essentiel et encourager le lecteur à aller découvrir, dans cet ouvrage fondamental, des clefs de lecture qui lui permettront de décrypter la situation complexe du  Yémen contemporain.

  16. Rezension von: Catherine M. Orr, Ann Braithwaite, Diane Lichtenstein (Eds.: Rethinking Women’s and Gender Studies. London: Routledge 2012.

    Directory of Open Access Journals (Sweden)

    Jennifer Bühner

    2014-03-01

    Full Text Available Der Sammelband von Catherine M. Orr, Ann Braithwaite und Diane Lichtenstein bietet eine aktuelle Auseinandersetzung mit den zentralen Konzepten der Selbst-/Zuschreibung in den Women’s and Gender Studies (WGS im Kontext der gegenwärtigen Umstrukturierung der Universitäten – wie z. B. Methoden, Pädagogik, Community, Disziplin und Institutionalisierung. Dabei wird zum einen ein genealogischer Zugang gewählt, um die Funktionsweise dieser Konzepte aufzuzeigen, und zum anderen werden durch Selbstreflexion der Autor_innen auf ihre eigene Lehre und Position innerhalb der WGS Änderungsvorschläge eingebracht, um potentiell neue Richtungen für die Frauen- und Geschlechterforschung aufzuzeigen.

  17. Detecting Direction of Pepper Stem by Using CUDA-Based Accelerated Hybrid Intuitionistic Fuzzy Edge Detection and ANN

    Directory of Open Access Journals (Sweden)

    Mahit Gunes

    2016-01-01

    Full Text Available In recent years, computer vision systems have been used in almost every field of industry. In this study, image processing algorithm has been developed by using CUDA (GPU which is 79 times faster than CPU. We had used this accelerated algorithm in destemming process of pepper. 65 percent of total national production of pepper is produced in our cities, Kahramanmaras and Gaziantep in Turkey. Firstly, hybrid intuitionistic fuzzy algorithm edge detection has been used for preprocessing of original image and Otsu method has been used for determining automatic threshold in this algorithm. Then the multilayer perceptron artificial neural network has been used for the classification of patterns in processed images. Result of ANN test for detection direction of pepper has shown high accuracy performance in CPU-based implementation and in GPU-based implementation.

  18. Denier du reve de M. Yourcenar: lecture pirandellienne d’une critique politique des années trente

    Directory of Open Access Journals (Sweden)

    Maria Rosa Chiapparo

    2008-08-01

    Full Text Available Les essais yourcenariens publiés autour des années 1920-30 constituent un véritable laboratoire d’idées où l’auteur a puisé pour la création de ses œuvres. Le bref renvoi à Pirandello présent dans “Diagnostic de l’Europe” atteste notre hypothèse nous permettant de procéder à une relecture intéressante de Denier du rêve. Partant des propos de Pirandello sur le cinéma, nous avons pu saisir un autre aspect du roman, tout en éclaircissant la critique du fascisme que Yourcenar y élabore, à savoir : le rôle de la culture de l’image dans la mise en place d’un régime totalitaire comme le fut le fascisme italien.

  19. Numeric treatment of nonlinear second order multi-point boundary value problems using ANN, GAs and sequential quadratic programming technique

    Directory of Open Access Journals (Sweden)

    Zulqurnain Sabir

    2014-06-01

    Full Text Available In this paper, computational intelligence technique are presented for solving multi-point nonlinear boundary value problems based on artificial neural networks, evolutionary computing approach, and active-set technique. The neural network is to provide convenient methods for obtaining useful model based on unsupervised error for the differential equations. The motivation for presenting this work comes actually from the aim of introducing a reliable framework that combines the powerful features of ANN optimized with soft computing frameworks to cope with such challenging system. The applicability and reliability of such methods have been monitored thoroughly for various boundary value problems arises in science, engineering and biotechnology as well. Comprehensive numerical experimentations have been performed to validate the accuracy, convergence, and robustness of the designed scheme. Comparative studies have also been made with available standard solution to analyze the correctness of the proposed scheme.

  20. Messire Gilles de Chin natif de Tournesis, éd. Anne-Marie Liétard-Rouzé

    OpenAIRE

    Parussa, Gabriella

    2012-01-01

    Anne-Marie Liétard-Rouzé publie pour les Presses universitaires du Septentrion la biographie chevaleresque de Gilles de Chin en prose, d’après le manuscrit 50 du fonds Godefroy de la Bibliothèque municipale de Lille. Une autre version de cette même mise en prose a déjà été publiée en 1837 par R. Chalon et en 1954 par L. P. Cormier, d’après un deuxième manuscrit conservé à la Bibliothèque Royale de Belgique, sous la cote 10237. Le but de cette publication est donc de fournir une édition de la ...

  1. Baltoscandal vajab rakverelast! / Anne-Ly Sova

    Index Scriptorium Estoniae

    Sova, Anne-Ly, 1976-

    2008-01-01

    Kaja Kann ja Juha Valkeapää vajavad oma lavastusse "Viiskümmend armast viisi surra" ("50 Lovely Ways to Die") 14 vabatahtlikku ja Austria-Prantsuse trupp Superamas oma lavastusse "Big 3rd Episode. Happy/End" kümmet vabatahtlikku tantsijat

  2. Anneli Remme soovitab : Napoleon muusikas / Anneli Remme

    Index Scriptorium Estoniae

    Remme, Anneli, 1968-

    2007-01-01

    ERSO ja Eesti Filharmoonia Kammerkoori kontserdist "Napoleon muusikas" 8. nov. Võru kultuurimajas Kannel ja 9. nov. Estonia kontserdisaaalis, esitusel L. van Beethoveni Kolmas sümfooniaja J. Haydni "Nelsoni missa"

  3. Baltoscandal alustas proovidega / Anne-Ly Sova

    Index Scriptorium Estoniae

    Sova, Anne-Ly, 1976-

    2008-01-01

    Kaja Kann ja Juha Valkeapää ning 15 rakverelast alustasid "50 Lovely Ways to Die" proovidega. Samuti alustas proove lavastaja Erki Kasemets Rakvere teatri ja Polügoonteatri ühisettevõtmisega "Kool". Välisesinejatest tutvustavalt

  4. Anneli Remme soovitab : Iisrael Egiptuses / Anneli Remme

    Index Scriptorium Estoniae

    Remme, Anneli, 1968-

    2008-01-01

    Eesti Filharmoonia Kammerkoor esitab Georg Friedrich Händeli teose "Iisrael Egiptuses" 18. dets. Vanemuise kontserdimajas, 19. dets. Estonia kontserdisaalis, 20. dets. Jõhvi kontserdimajas ja 21. dets. Pärnu kontserdimajas (dirigent Daniel Reuss)

  5. [Sensitivity analysis of AnnAGNPS model's hydrology and water quality parameters based on the perturbation analysis method].

    Science.gov (United States)

    Xi, Qing; Li, Zhao-Fu; Luo, Chuan

    2014-05-01

    Sensitivity analysis of hydrology and water quality parameters has a great significance for integrated model's construction and application. Based on AnnAGNPS model's mechanism, terrain, hydrology and meteorology, field management, soil and other four major categories of 31 parameters were selected for the sensitivity analysis in Zhongtian river watershed which is a typical small watershed of hilly region in the Taihu Lake, and then used the perturbation method to evaluate the sensitivity of the parameters to the model's simulation results. The results showed that: in the 11 terrain parameters, LS was sensitive to all the model results, RMN, RS and RVC were generally sensitive and less sensitive to the output of sediment but insensitive to the remaining results. For hydrometeorological parameters, CN was more sensitive to runoff and sediment and relatively sensitive for the rest results. In field management, fertilizer and vegetation parameters, CCC, CRM and RR were less sensitive to sediment and particulate pollutants, the six fertilizer parameters (FR, FD, FID, FOD, FIP, FOP) were particularly sensitive for nitrogen and phosphorus nutrients. For soil parameters, K is quite sensitive to all the results except the runoff, the four parameters of the soil's nitrogen and phosphorus ratio (SONR, SINR, SOPR, SIPR) were less sensitive to the corresponding results. The simulation and verification results of runoff in Zhongtian watershed show a good accuracy with the deviation less than 10% during 2005- 2010. Research results have a direct reference value on AnnAGNPS model's parameter selection and calibration adjustment. The runoff simulation results of the study area also proved that the sensitivity analysis was practicable to the parameter's adjustment and showed the adaptability to the hydrology simulation in the Taihu Lake basin's hilly region and provide reference for the model's promotion in China.

  6. [Discriminating and quantifying potential adulteration in virgin olive oil by near infrared spectroscopy with BP-ANN and PLS].

    Science.gov (United States)

    Weng, Xin-Xin; Lu, Feng; Wang, Chuan-Xian; Qi, Yun-Peng

    2009-12-01

    In the present paper, the use of near infrared spectroscopy (NIR) as a rapid and cost-effective classification and quantification techniques for the authentication of virgin olive oil were preliminarily investigated. NIR spectra in the range of 12 000 - 3 700 cm(-1) were recorded for pure virgin olive oil and virgin olive oil samples adulterated with varying concentrations of sesame oil, soybean oil and sunflower oil (5%-50% adulterations in the weight of virgin olive oil). The spectral range from 12 000 to 5 390 cm(-1) was adopted to set up an analysis model. In order to handle these data efficiently, after pretreatment, firstly, principal component analysis (PCA) was used to compress thousands of spectral data into several variables and to describe the body of the spectra, and the analysis suggested that the cumulate reliabilities of the first six components was more than 99.999%. Then ANN-BP was chosen as further research method. The six components were secondly applied as ANN-BP inputs. The experiment took a total of 100 samples as original model examples and left 52 samples as unknown samples to predict. Finally, the results showed that the 52 test samples were discriminated accurately. And the calibration models of quantitative analysis were built using partial-least-square (PLS). The R values for PLS model are 98.77, 99.37 and 99.44 for sesame oil, soybean oil and sunflower oil respectively, the root mean standard errors of cross validation (RMSECV) are 1.3, 1.1 and 1.04 respectively. Overall, the near infrared spectroscopic method in the present paper played a good role in the discrimination and quantification, and offered a new approach to the rapid discrimination of pure and adulterated virgin olive oil.

  7. The use of artificial neural network (ANN) for the prediction and simulation of oil degradation in wastewater by AOP.

    Science.gov (United States)

    Mustafa, Yasmen A; Jaid, Ghydaa M; Alwared, Abeer I; Ebrahim, Mothana

    2014-06-01

    The application of advanced oxidation process (AOP) in the treatment of wastewater contaminated with oil was investigated in this study. The AOP investigated is the homogeneous photo-Fenton (UV/H2O2/Fe(+2)) process. The reaction is influenced by the input concentration of hydrogen peroxide H2O2, amount of the iron catalyst Fe(+2), pH, temperature, irradiation time, and concentration of oil in the wastewater. The removal efficiency for the used system at the optimal operational parameters (H2O2 = 400 mg/L, Fe(+2) = 40 mg/L, pH = 3, irradiation time = 150 min, and temperature = 30 °C) for 1,000 mg/L oil load was found to be 72%. The study examined the implementation of artificial neural network (ANN) for the prediction and simulation of oil degradation in aqueous solution by photo-Fenton process. The multilayered feed-forward networks were trained by using a backpropagation algorithm; a three-layer network with 22 neurons in the hidden layer gave optimal results. The results show that the ANN model can predict the experimental results with high correlation coefficient (R (2) = 0.9949). The sensitivity analysis showed that all studied variables (H2O2, Fe(+2), pH, irradiation time, temperature, and oil concentration) have strong effect on the oil degradation. The pH was found to be the most influential parameter with relative importance of 20.6%.

  8. Comparative study of wavelet-ARIMA and wavelet-ANN models for temperature time series data in northeastern Bangladesh

    Directory of Open Access Journals (Sweden)

    Ahmad Hasan Nury

    2017-01-01

    Full Text Available Time-series analyses of temperature data are important for investigating temperature variation and predicting temperature change. Here, Mann–Kendall (M–K analyses of temperature time-series data in northeastern Bangladesh indicated increasing trends (Sen’s slope of maximum and minimum yearly temperature at Sylhet of 0.03 °C and 0.026 °C, respectively, and a minimum temperature at Sreemangal of 0.024 °C except for the maximum temperature at Sreemangal. The linear trends showed that the maximum temperature is increasing by 2.97 °C and 0.59 °C per hundred years, and the minimum, by 2.17 °C and 2.73 °C per hundred years at the Sylhet and Sreemangal stations, indicating that climate change is affecting temperature in this area. This paper presents an alternative method for temperature prediction by combining the wavelet technique with an autoregressive integrated moving average (ARIMA model and an artificial neural network (ANN applied to monthly maximum and minimum temperature data. The data are divided into a training dataset (1957–2000 to construct the models and a testing dataset (2001–2012 to estimate their performance. The calibration and validation performance of the models is evaluated statistically, and the relative performance based on the predictive capability of out-of-sample forecasts is assessed. The results indicate that the wavelet-ARIMA model is more effective than the wavelet-ANN model.

  9. Women's translations of scientific texts in the 18th century: a case study of Marie-Anne Lavoisier.

    Science.gov (United States)

    Kawashima, Keiko

    2011-01-01

    In the 18th century, many outstanding translations of scientific texts were done by women. These women were important mediators of science. However, I would like to raise the issue that the 'selection,' which is the process by which intellectual women chose to conduct translation works, and those 'selections' made by male translators, would not be made at the same level. For example, Émilie du Châtelet (1706-1749), the only French translator of Newton's "Principia," admitted her role as participating in important work, but, still, she was not perfectly satisfied with the position. For du Châtelet, the role as a translator was only an option under the current conditions that a female was denied the right to be a creator by society. In the case of Marie-Anne Lavoisier (1743-1794), like du Châtelet, we find an acute feeling in her mind that translation was not the work of creators. Because of her respect toward creative geniuses and her knowledge about the practical situation and concrete results of scientific studies, the translation works done by Marie-Anne Lavoisier were excellent. At the same time, the source of this excellence appears paradoxical at a glance: this excellence of translation was related closely with her low self-estimation in the field of science. Hence, we should not forget the gender problem that is behind such translations of scientific works done by women in that era. Such a possibility was a ray of light that was grasped by females, the sign of a gender that was eliminated from the center of scientific study due to social systems and norms and one of the few valuable opportunities to let people know of her own existence in the field of science.

  10. Gesa Anne Busche: Über-Leben nach Folter und Flucht. Resilienz kurdischer Frauen in Deutschland. Bielefeld: transcript Verlag 2013.

    Directory of Open Access Journals (Sweden)

    Heinz-Jürgen Voß

    2013-10-01

    Full Text Available Die Asylbedingungen in der Bundesrepublik Deutschland sind für Menschen, die vor Verfolgung und Folter fliehen mussten, problematisch und teilweise lebensbedrohlich. Traumatisierungen werden nicht oder unzureichend behandelt und durch die Asylbedingungen häufig noch verstärkt. Gesa Anne Busche befragte vier kurdische Frauen, die vor Verfolgung und Folter in der Türkei geflohen sind und in der Bundesrepublik Asyl suchten. Sie gewährt mit ihrem Buch einen Zugang, der jedoch fundierter und näher an der Perspektive der interviewten Frauen hätte sein müssen. Ihre eigenen Vorannahmen hätten im Forschungsprozess aktiv und unter anderem auf Grundlage von Arbeiten von Frauen of Color reflektiert werden können – dass das nicht geschehen ist, schmälert den Ertrag des Buches deutlich.The conditions for asylum in the Federal Republic of Germany are problematic and in parts even life-threatening for people, who had to flee from persecution and torture. Traumatizations are not or insufficiently treated and often even intensified through the conditions for asylum. Gesa Anne Busche interviewed four Kurdish women, who fled from persecution and torture in Turkey and sought asylum in Germany. Her book offers an approach, which should, however, have been closer to the perspective of the interviewed women. During the research process, her own presuppositions could have been reflected on, among others, based on works by Women of Color – the fact that this was not done reduces the book’s benefit considerably.

  11. Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm

    Science.gov (United States)

    Prasad, Ramendra; Deo, Ravinesh C.; Li, Yan; Maraseni, Tek

    2017-11-01

    Forecasting streamflow is vital for strategically planning, utilizing and redistributing water resources. In this paper, a wavelet-hybrid artificial neural network (ANN) model integrated with iterative input selection (IIS) algorithm (IIS-W-ANN) is evaluated for its statistical preciseness in forecasting monthly streamflow, and it is then benchmarked against M5 Tree model. To develop hybrid IIS-W-ANN model, a global predictor matrix is constructed for three local hydrological sites (Richmond, Gwydir, and Darling River) in Australia's agricultural (Murray-Darling) Basin. Model inputs comprised of statistically significant lagged combination of streamflow water level, are supplemented by meteorological data (i.e., precipitation, maximum and minimum temperature, mean solar radiation, vapor pressure and evaporation) as the potential model inputs. To establish robust forecasting models, iterative input selection (IIS) algorithm is applied to screen the best data from the predictor matrix and is integrated with the non-decimated maximum overlap discrete wavelet transform (MODWT) applied on the IIS-selected variables. This resolved the frequencies contained in predictor data while constructing a wavelet-hybrid (i.e., IIS-W-ANN and IIS-W-M5 Tree) model. Forecasting ability of IIS-W-ANN is evaluated via correlation coefficient (r), Willmott's Index (WI), Nash-Sutcliffe Efficiency (ENS), root-mean-square-error (RMSE), and mean absolute error (MAE), including the percentage RMSE and MAE. While ANN models are seen to outperform M5 Tree executed for all hydrological sites, the IIS variable selector was efficient in determining the appropriate predictors, as stipulated by the better performance of the IIS coupled (ANN and M5 Tree) models relative to the models without IIS. When IIS-coupled models are integrated with MODWT, the wavelet-hybrid IIS-W-ANN and IIS-W-M5 Tree are seen to attain significantly accurate performance relative to their standalone counterparts. Importantly

  12. Prediction ofWater Quality Parameters (NO3, CL in Karaj Riverby Usinga Combinationof Wavelet Neural Network, ANN and MLRModels

    Directory of Open Access Journals (Sweden)

    T. Rajaee

    2016-10-01

    Full Text Available IntroductionThe water quality is an issue of ongoing concern. Evaluation of the quantity and quality of running waters is considerable in hydro-environmental management.The prediction and control of the quality of Karaj river water, as one of the important needed water supply sources of Tehran, possesses great importance. In this study, Performance of Artificial Neural Network (ANN, Wavelet Neural Network combination (WANN and multi linear regression (MLR models, to predict next month the Nitrate (NO3 and Chloride (CL ions of "gate ofBylaqan sluice" station located in Karaj River has been evaluated. Materials and MethodsIn this research two separate ANN models for prediction of NO3 and CL has been expanded. Each one of the parameters for prediction (NO3 / CL has been put related to the past amounts of the same time series (NO3 / CL and its amounts of Q in past months.From astatisticalperiod of10yearswas usedforthe input of the models. Hence 80% of entire data from (96 initial months of data as training set, next 10% of data (12 months and 10% of the end of time series (terminal 12 months were considered as for validation and test of the models, respectively. In WANNcombination model, the real monthly observed time series of river discharge (Q and mentioned qualityparameters(NO3 / CL were decomposed to some sub-time series at different levels by wavelet analysis.Then the decomposed quality parameters to predict and Q time series were used at different levels as inputs to the ANN technique for predicting one-step-ahead Nitrate and Chloride. These time series play various roles in the original time series and the behavior of each is distinct, so the contribution to the original time series varies from each other. In addition, prediction of high NO3 and CL values greater than mean of data that have great importancewere investigated by the models. The capability of the models was evaluated by Coefficient of Efficiency (E and the Root Mean Square

  13. Miks lootusrikkalt tehtud plaanid nurjuvad? / Anneli Lorenz, Jakob Kübarsepp, Kätlin Tiigi, Mikk Kasesalk ; küsitlenud Anna-Liisa Mets

    Index Scriptorium Estoniae

    2014-01-01

    Õpingute poolelijätmise põhjusi analüüsivad Eesti Maaülikooli õppeosakonna juhataja Anneli Lorenz, TTÜ õppeprorektor Jakob Kübarsepp, TTÜ Üliõpilaskonna juhatuse liige Kätlin Tiigi ja Tallinn Ülikooli karjäärinõustaja Mikk Kasesalk

  14. Teeninduse taseme hoidmine ja heade teenindajate leidmine on tööandjatele võtmeküsimus / Anu-Mall Naarits, Anneli Mere, Kristjan Laja, Inge Suder

    Index Scriptorium Estoniae

    2009-01-01

    Anu-Mall Naarits Maratist, Anneli Mere Matkasport OÜ-st, Kristjan Laja Ambient Marketingist ning Inge Suder AS-ist Eesti Post vastavad küsimustele, mis puudutavad tagasisidet teenindusele, teenindajatele pakutavaid koolitusi ja motivatsioonipakette, teeninduse taset Eestis, teenindustöötajate palgataset, hea teenindaja isikuomadusi ning raskemaid ülesandeid teenindaja töös

  15. Global Alliance'i president: harige ennast, sest kogemusest tänapäeval ei piisa / Anne Gregory ; intervjueerinud Annela Laaneots

    Index Scriptorium Estoniae

    Gregory, Anne

    2013-01-01

    Intervjuu ajakirja Kaja mõttekojas esinenud maailma suhtekorralduse ja kommunikatsioonijuhtimise organisatsioonide ühenduse Global Alliance presidendi Anne Gregoryga, kes annab nõu, mida kommunikatsioonijuht peaks tegema, et olla organisatsioonis hinnatud ning enda eesmärkidest Global Alliance'i presidendina

  16. PREDIKSI MASA KEDALUWARSA WAFER DENGAN ARTIFICIAL NEURAL NETWORK (ANN BERDASARKAN PARAMETER NILAI KAPASITANSI (Prediction of Wafer Shelf Life Using Artificial Neural Network Based on Capacitance Parameter

    Directory of Open Access Journals (Sweden)

    Erna Rusliana Muhamad Saleh

    2014-02-01

    Full Text Available Wafer is type of biscuit frequently found on expired condition in market, therefore prediction method should be implemented to avoid this condition. apart from the prediction of shelf-life of wafer done by laboratory test, which were time-consuming, expensive, required trained panelists, complex equipment and suitable ambience, artificial neural network (ANN based dielectric parameters was proposed in nthis study. The aim of study was to develop model to predict shelf-life employing aNN based capacitance parameter. Back propagation algorithm with trial and error was applied in variations of nodes per hidden layer, number of hidden layers, activation functions, the function of learnings and epochs. The result of study was the model was able to predict wafer shelf-life. The accuracy level was shown by low MSE value (0.01 and high coefficient correlation value (89.25%. Keywords: artificial Neural Network, shelf-life, waffer, dielectric, capacitance   ABSTRAK Wafer adalah jenis makanan kering yang sering ditemukan kedaluwarsa. Penentuan masa kedaluwarsa dengan observasi laboratorium memiliki beberapa kelemahan, diantaranya memakan waktu, panelis terlatih, suasana yang tepat, biaya dan alat uji yang kompleks. alternatif solusinya adalah penggunaan artificial Neural Network (ANN berbasiskan parameter kapasitansi. Tujuan kerja ilmiah ini adalah untuk memprediksi masa kedaluwarsa wafer menggunakan aNN berbasiskan parameter kapasitansi. algoritma pembelajaran yang digunakan adalah Backpropagation dengan trial and error variasi jumlah node per hidden layer, jumlah hidden layer, fungsi aktivasi, fungsi pembelajaran dan epoch. Hasil prediksi menunjukkan bahwa aNN hasil pelatihan yang dikombinasikan dengan parameter kapasitansi mampu memprediksi masa kedaluwarsa wafer dengan MSE terendah 0,01 dan R tertinggi 89,25%. Kata kunci: Jaringan Syaraf Tiruan, masa kedaluwarsa, wafer, dielektrik, kapasitansi

  17. Cinquante années de recherches sur les débuts de l'Aurignacien en Europe occidentale

    Directory of Open Access Journals (Sweden)

    François Djindjian

    2002-01-01

    Full Text Available Une histoire des cinquante dernières années de rechercties sur les débuts de l'Aurignacien est tentée ici. Cet historique retrace brièvement les débuts entre 1860 et 1950 de la connaissance de l'Aurignacien resituant dans leur contexte les apports respectifs de Lartet, De Mortlllet, Breuil et Peyrony. Puis, les résultats des recherches des années 1950 à 1990 des différents acteurs (D. de Sonnevllle-Bordes, F. Bordes, H. M. Movius, H. Delporte, G. Laplace, J. Hahn, N. Soler, F. Bazile, F. Champagne, etc. concernant les débuts de l'Aurignacien sont analysés à la lueur des nouvelles données de fouilles en Aquitaine (Roc de Combe, La Ferrassie, Le Facteur, Caminade, Le Flageolet I, Le Plage, en Pyrénées (Gatzarria, Cueva h/iorin, en Jura-Souabe (Geissenklosterle et sur la côte méditerranéenne (abri l\\Aochi, La Laouza, l'Arbreda, L'Esquicho-Grapaou. Les apports des recherches sur le paléoenvironnement pour la reconstitution du climat et des méthodes mathématiques et informatiques dans les années 70 à la structuration chronologique de l'Aurignacien sont développés. Les différentes données à l'origine de l'existence d'un Protoaurignacien, d'un Aurignacien 0 en Périgord, d'un Aurignacien initial et la question de l'interstratification entre Castelperronien et Aurignacien sont discutées. Les récentes critiques depuis le début des années 90 concernant la fiabilité du cadre paléoclimatique des remplissages d'abrissous- roctie et la pertinence des approches typologiques sont examinées. Les conclusions amènent l'auteur à proposer suggérer que les débuts de I'Aurignacien, encore mal connus, ne sont pas uniformes suivant les régions et dans le temps. En Europe occidentale, l'existence d'un Aurignacien initial semble prouvé sur la côte méditerranéenne de la Ligurie jusqu'en Catalogne. L'expansion aurignacienne suit alors la bordure septentrionale pyrénéenne de l'Aude jusqu'en Cantabres et en Asturies. Puis, sous

  18. Carol Anne Bond v the United States of America: how a woman scorned threatened the Chemical Weapons Convention.

    Science.gov (United States)

    Muldoon, Anna; Kornblet, Sarah; Katz, Rebecca

    2011-09-01

    The case of Carol Anne Bond v the United States of America stemmed from a domestic dispute when Ms. Bond attempted to retaliate against her best friend by attacking her with chemical agents. What has emerged is a much greater issue--a test of standing on whether a private citizen can challenge the Tenth Amendment. Instead of being prosecuted in state court for assault, Ms. Bond was charged and tried in district court under a federal criminal statute passed as part of implementation of the Chemical Weapons Convention (CWC). Ms. Bond's argument rests on the claim that the statute exceeded the federal government's enumerated powers in criminalizing her behavior and violated the Constitution, while the government contends legislation implementing treaty obligations is well within its purview. This question remains unanswered because there is dispute among the lower courts as to whether Ms. Bond, as a citizen, even has the right to challenge an amendment guaranteeing states rights when a state is not a party to the action. The Supreme Court heard the case on February 22, 2011, and, if it decides to grant Ms. Bond standing to challenge her conviction, the case will be returned to the lower courts. Should the court decide Ms. Bond has the standing to challenge her conviction and further questions the constitutionality of the law, it would be a significant blow to implementation of the CWC in the U.S. and the effort of the federal government to ensure we are meeting our international obligations.

  19. Experimental and numerical study of nanofluid in heat exchanger fitted by modified twisted tape: exergy analysis and ANN prediction model

    Science.gov (United States)

    Maddah, Heydar; Ghasemi, Nahid; Keyvani, Bahram; Cheraghali, Ramin

    2017-04-01

    Present study provides an experimental investigation of the exergetic efficiency due to the flow and heat transfer of nanofluids in different geometries and flow regimes of the double pipe heat exchangers. The experiments with different Geometrical Progression Ratio (GPR) of twists as the new modified twisted tapes and different nanofluid concentration were performed under similar operation condition. Pitch length of the proposed twisted tapes and consequently the twist ratios changed along the twists with respect to the Geometrical Progression Ratio (GPR) whether reducer (RGPR 1). Regarding the experimental data, utilization of RGPR twists together with nanofluids tends to increase exergetic efficiency. Since the Prediction of exergetic efficiency from experimental process is complex and time consuming, artificial neural networks for identification of the relationship, which may exist between the thermal and flow parameters and exergetic efficiency, have been utilized. The network input consists of five parameters ({Re} ,\\Pr ,φ, Tr, GPR) that crucially dominate the heat transfer process. The results proved that the introduced ANN model is reliable and capable in proposing a proper development plan for a heat exchanger and/or to determine the optimal plan of operation for heat transfer process.

  20. Biotreatment of zinc-containing wastewater in a sulfidogenic CSTR: Performance and artificial neural network (ANN) modelling studies.

    Science.gov (United States)

    Sahinkaya, Erkan

    2009-05-15

    Sulfidogenic treatment of sulfate (2-10g/L) and zinc (65-677mg/L) containing simulated wastewater was studied in a mesophilic (35 degrees C) CSTR. Ethanol was supplemented (COD/sulfate=0.67) as carbon and energy source for sulfate-reducing bacteria (SRB). The robustness of the system was studied by increasing Zn, COD and sulfate loadings. Sulfate removal efficiency, which was 70% at 2g/L feed sulfate concentration, steadily decreased with increasing feed sulfate concentration and reached 40% at 10g/L. Over 99% Zn removal was attained due to the formation of zinc-sulfide precipitate. COD removal efficiency at 2g/L feed sulfate concentration was over 94%, whereas, it steadily decreased due to the accumulation of acetate at higher loadings. Alkalinity produced from acetate oxidation increased wastewater pH remarkably when feed sulfate concentration was 5g/L or lower. Electron flow from carbon oxidation to sulfate reduction averaged 83+/-13%. The rest of the electrons were most likely coupled with fermentative reactions as the amount of methane production was insignificant. The developed ANN model was very successful as an excellent to reasonable match was obtained between the measured and the predicted concentrations of sulfate (R=0.998), COD (R=0.993), acetate (R=0.976) and zinc (R=0.827) in the CSTR effluent.

  1. A Comparative Study of Breast Mass Classification based on Spherical Wavelet Transform using ANN and KNN Classifiers

    Directory of Open Access Journals (Sweden)

    Pelin GÖRGEL

    2012-01-01

    Full Text Available Breast cancer may be missed by the radiologists at the early ages because of the mammography artifacts. Computer aided diagnosis can decrease the mortality rate by providing a second eye. The artifacts exist due to the noise and the inappropriate contrast in mammograms. Therefore a study that classifies the cropped region of interests (ROI’s as benign or malign and provides a second eye to the radiologists is proposed. The study consists of two steps: First step is the application of Spherical Wavelet Transform (SWT to the original ROI matrix prior to feature extraction. Second step is to extract some predetermined pixel and shape features both from wavelet and scaling coefficients. Finally, for classification the prepared feature matrix is given to Artificial Neural Networks (ANN and K-Nearest Neighbour (KNN systems which are widely used in image processing. The algorithms are tested on 60 abnormal digitized mammogram ROIs acquised from The Mammographic Image Analysis Society (MIAS which is a free mammogram database.

  2. A Historical Analysis of Media Practices and Technologies in Protest Movements: A Review of Crisis and Critique by Anne Kaun

    Directory of Open Access Journals (Sweden)

    Anne Laajalahti

    2017-05-01

    Full Text Available Dr. Anne Kaun’s book, Crisis and Critique: A Brief History of Media Participation in Times of Crisis (London: Zed Books, 2016, 131 pp., ISBN: 978-1-78360-736-5, is a concise but comprehensive analysis of the changing media practices and technologies in protest movements. The book overviews the topic within the context of major economic crises and scrutinises three richly detailed case studies in the United States: (a the unemployed workers’ movement during the Great Depression in the 1930s, (b the tenants’ rent strike movement of the early 1970s, and (c the Occupy Wall Street movement following the Great Recession of 2008. Kaun begins her book with an introduction to economic crises and protest movements and highlights the relationship of crisis and critique to media practices. She goes on to investigate historical forms of media participation in protest movements from three different perspectives: (a protest time, (b protest space, and (c protest speed. The book contributes to the recent discussion on the emerging role of social media in protest by providing a historically nuanced analysis of the media participation in times of crisis. As a whole, the book is valuable to anyone interested in media and social activism.

  3. Modeling and prediction of cutting forces during the turning of red brass (C23000 using ANN and regression analysis

    Directory of Open Access Journals (Sweden)

    M. Hanief

    2017-06-01

    Full Text Available The life of a cutting tool is greatly influenced by the forces acting on it during a cutting operation. A machining operation is a complex process. It is very difficult to develop a comprehensive model involving all the parameters. The present study aims to develop a model to investigate the effects of cutting parameters (speed, depth of cut and feed rate on the cutting forces during the turning operation of red brass (C23000 using high speed steel (HSS tool. The experimental results are based on full factorial design methodology to increase the reliability and confidence limit of the data. Artificial neural network and multiple regression approaches were used to model the cutting forces on the basis of cutting parameters. In order to check the adequacy of the regression model, analysis of variance (ANOVA was used. It was clear from the ANOVA that the regression model is capable to predict the cutting forces with high accuracy. However, ANN model was found to be more accurate than the regression model.

  4. Detection of Static Air-Gap Eccentricity in Three Phase induction Motor by Using Artificial Neural Network (ANN

    Directory of Open Access Journals (Sweden)

    Hayder O. Alwan

    2017-05-01

    Full Text Available This paper presents the effect of the static air-gap eccentricity on the performance of a three phase induction motor .The Artificial Neural Network (ANN approach has been used to detect this fault .This technique depends upon the amplitude of the positive and negative harmonics of the frequency. Two motors of (2.2 Kw have been used to achieve the actual fault and desirable data at no-load, half-load and full-load conditions. Motor Current Signature analysis (MCSA based on stator current has been used to detect eccentricity fault. Feed forward neural network and error back propagation training algorithms are used to perform the motor fault detection. The inputs of artificial neural network are the amplitudes of the positive and negative harmonics and the speed, and the output is the type of fault. The training of neural network is achieved by data through the experiments test on healthy and faulty motor and the diagnostic system can discriminate between “healthy” and “faulty” machine.

  5. Investigation of an HMM/ANN hybrid structure in pattern recognition application using cepstral analysis of dysarthric (distorted) speech signals.

    Science.gov (United States)

    Polur, Prasad D; Miller, Gerald E

    2006-10-01

    Computer speech recognition of individuals with dysarthria, such as cerebral palsy patients requires a robust technique that can handle conditions of very high variability and limited training data. In this study, application of a 10 state ergodic hidden Markov model (HMM)/artificial neural network (ANN) hybrid structure for a dysarthric speech (isolated word) recognition system, intended to act as an assistive tool, was investigated. A small size vocabulary spoken by three cerebral palsy subjects was chosen. The effect of such a structure on the recognition rate of the system was investigated by comparing it with an ergodic hidden Markov model as a control tool. This was done in order to determine if this modified technique contributed to enhanced recognition of dysarthric speech. The speech was sampled at 11 kHz. Mel frequency cepstral coefficients were extracted from them using 15 ms frames and served as training input to the hybrid model setup. The subsequent results demonstrated that the hybrid model structure was quite robust in its ability to handle the large variability and non-conformity of dysarthric speech. The level of variability in input dysarthric speech patterns sometimes limits the reliability of the system. However, its application as a rehabilitation/control tool to assist dysarthric motor impaired individuals holds sufficient promise.

  6. Study of parent-child communication in joint-reading process according the investigation of Beth Ann Beschorner, foreign researcher

    Directory of Open Access Journals (Sweden)

    Maksimova A.A.

    2016-01-01

    Full Text Available The article presents the analysis carried out by Ph. D. Beth Ann Beschorner (University of Iowa, USA which concerns the training program for parents aimed at teaching them how to arrange the Dialogic reading with their childrenand and which makes it possible to conclude that due to the experience and direct contact with the written language in preschool age the idea of literacy was being formed. The article compares the empirical data obtained independently in different areas of scientific knowledge, i.e., philosophy and psychology: the study of B.A. Beschorner has a lot in common with the principles of cultural-historical psychology, formulated by L. Vygotsky, M. Lisina and other national psychologists. Although B. A. Beschorner do not stick directly to cultural-historical and activity theory, her results correspond with the basic provisions of these theories. The analysis of B.A. Beschorner’s works confirms the commonality of her findings to those obtained in terms of the cultural-historical theory. It proves that scientific thoughts even going in independent ways, may lead to similar results, which ultimately demonstrates the validity of the findings and the versatility of approaches to the problem

  7. BP-ANN for fitting the temperature-germination model and its application in predicting sowing time and region for Bermudagrass.

    Directory of Open Access Journals (Sweden)

    Erxu Pi

    Full Text Available Temperature is one of the most significant environmental factors that affects germination of grass seeds. Reliable prediction of the optimal temperature for seed germination is crucial for determining the suitable regions and favorable sowing timing for turf grass cultivation. In this study, a back-propagation-artificial-neural-network-aided dual quintic equation (BP-ANN-QE model was developed to improve the prediction of the optimal temperature for seed germination. This BP-ANN-QE model was used to determine optimal sowing times and suitable regions for three Cynodon dactylon cultivars (C. dactylon, 'Savannah' and 'Princess VII'. Prediction of the optimal temperature for these seeds was based on comprehensive germination tests using 36 day/night (high/low temperature regimes (both ranging from 5/5 to 40/40°C with 5°C increments. Seed germination data from these temperature regimes were used to construct temperature-germination correlation models for estimating germination percentage with confidence intervals. Our tests revealed that the optimal high/low temperature regimes required for all the three bermudagrass cultivars are 30/5, 30/10, 35/5, 35/10, 35/15, 35/20, 40/15 and 40/20°C; constant temperatures ranging from 5 to 40°C inhibited the germination of all three cultivars. While comparing different simulating methods, including DQEM, Bisquare ANN-QE, and BP-ANN-QE in establishing temperature based germination percentage rules, we found that the R(2 values of germination prediction function could be significantly improved from about 0.6940-0.8177 (DQEM approach to 0.9439-0.9813 (BP-ANN-QE. These results indicated that our BP-ANN-QE model has better performance than the rests of the compared models. Furthermore, data of the national temperature grids generated from monthly-average temperature for 25 years were fit into these functions and we were able to map the germination percentage of these C. dactylon cultivars in the national scale

  8. Mathematical Modeling and Optimizing of in Vitro Hormonal Combination for G × N15 Vegetative Rootstock Proliferation Using Artificial Neural Network-Genetic Algorithm (ANN-GA).

    Science.gov (United States)

    Arab, Mohammad M; Yadollahi, Abbas; Ahmadi, Hamed; Eftekhari, Maliheh; Maleki, Masoud

    2017-01-01

    The efficiency of a hybrid systems method which combined artificial neural networks (ANNs) as a modeling tool and genetic algorithms (GAs) as an optimizing method for input variables used in ANN modeling was assessed. Hence, as a new technique, it was applied for the prediction and optimization of the plant hormones concentrations and combinations for in vitro proliferation of Garnem (G × N15) rootstock as a case study. Optimizing hormones combination was surveyed by modeling the effects of various concentrations of cytokinin-auxin, i.e., BAP, KIN, TDZ, IBA, and NAA combinations (inputs) on four growth parameters (outputs), i.e., micro-shoots number per explant, length of micro-shoots, developed callus weight (CW) and the quality index (QI) of plantlets. Calculation of statistical values such as R2 (coefficient of determination) related to the accuracy of ANN-GA models showed a considerably higher prediction accuracy for ANN models, i.e., micro-shoots number: R2 = 0.81, length of micro-shoots: R2 = 0.87, CW: R2 = 0.88, QI: R2 = 0.87. According to the results, among the input variables, BAP (19.3), KIN (9.64), and IBA (2.63) showed the highest values of variable sensitivity ratio for proliferation rate. The GA showed that media containing 1.02 mg/l BAP in combination with 0.098 mg/l IBA could lead to the optimal proliferation rate (10.53) for G × N15 rootstock. Another objective of the present study was to compare the performance of predicted and optimized cytokinin-auxin combination with the best optimized obtained concentrations of our other experiments. Considering three growth parameters (length of micro-shoots, micro-shoots number, and proliferation rate), the last treatment was found to be superior to the rest of treatments for G × N15 rootstock in vitro multiplication. Very little difference between the ANN predicted and experimental data confirmed high capability of ANN-GA method in predicting new optimized protocols for plant in vitro propagation.

  9. Mathematical Modeling and Optimizing of in Vitro Hormonal Combination for G × N15 Vegetative Rootstock Proliferation Using Artificial Neural Network-Genetic Algorithm (ANN-GA

    Directory of Open Access Journals (Sweden)

    Mohammad M. Arab

    2017-11-01

    Full Text Available The efficiency of a hybrid systems method which combined artificial neural networks (ANNs as a modeling tool and genetic algorithms (GAs as an optimizing method for input variables used in ANN modeling was assessed. Hence, as a new technique, it was applied for the prediction and optimization of the plant hormones concentrations and combinations for in vitro proliferation of Garnem (G × N15 rootstock as a case study. Optimizing hormones combination was surveyed by modeling the effects of various concentrations of cytokinin–auxin, i.e., BAP, KIN, TDZ, IBA, and NAA combinations (inputs on four growth parameters (outputs, i.e., micro-shoots number per explant, length of micro-shoots, developed callus weight (CW and the quality index (QI of plantlets. Calculation of statistical values such as R2 (coefficient of determination related to the accuracy of ANN-GA models showed a considerably higher prediction accuracy for ANN models, i.e., micro-shoots number: R2 = 0.81, length of micro-shoots: R2 = 0.87, CW: R2 = 0.88, QI: R2 = 0.87. According to the results, among the input variables, BAP (19.3, KIN (9.64, and IBA (2.63 showed the highest values of variable sensitivity ratio for proliferation rate. The GA showed that media containing 1.02 mg/l BAP in combination with 0.098 mg/l IBA could lead to the optimal proliferation rate (10.53 for G × N15 rootstock. Another objective of the present study was to compare the performance of predicted and optimized cytokinin–auxin combination with the best optimized obtained concentrations of our other experiments. Considering three growth parameters (length of micro-shoots, micro-shoots number, and proliferation rate, the last treatment was found to be superior to the rest of treatments for G × N15 rootstock in vitro multiplication. Very little difference between the ANN predicted and experimental data confirmed high capability of ANN-GA method in predicting new optimized protocols for plant in vitro

  10. BALANSARD, ANNE, «Technè» dans les «Dialogues » de Platon: l’empreinte de la sophistique. Por Nuria Sánchez Madrid

    Directory of Open Access Journals (Sweden)

    Nuria Sánchez Madrid

    2012-05-01

    Full Text Available Autor: Anne Balansard (2001. Editorial: Sankt Augustin, Academia Verlag. International Plato Studies; vol. 14. 430 pp., ISBN:3-89665-154-4. Quizá lo más significativo de esta obrade Anne Balansard —tesis doctoral de la autora dirigida por la helenista S. Saïd y defendida en diciembre de 1997 en la Universidadde Paris X-Nanterre— sea el habersabido encontrar un lugar de confluencia entre un marcado método e interés filológico y la sincera pretensión de generar debate en el seno de los estudios platónicos actuales [...

  11. Eddé Anne-Marie, Saladin, Éditions Flammarion, « Les Grandes Biographies », Paris, 2008, 761 p.

    Directory of Open Access Journals (Sweden)

    Abbès Zouache

    2010-06-01

    Full Text Available À elle seule, la parution du Saladin d’Anne-Marie Eddé constitue un événement : elle marque la réconciliation des médiévistes orientalistes français avec le genre dit de la biographie historique – jusque-là, seule la figure du Prophète Muḥammad avait fait l’objet de biographies tout aussi savantes qu’accessibles à un large lectorat. En outre, cette parution participe du renouvellement de ce genre, dont l’université française s’est emparée depuis quelques années sans rien en céder à ses tradit...

  12. Controller development of photo bioreactor for closed-loop regulation of O2 production based on ANN model reference control and computer simulation

    Science.gov (United States)

    Hu, Dawei; Zhang, Houkai; Zhou, Rui; Li, Ming; Sun, Yi

    2013-02-01

    When Bioregenerative Life Support System (BLSS) is used for long-term deep space exploration in the future, it is possible to perform closed-loop control on growth of microalgae to effectively regulate O2 production process in emergencies. However, designing controller of microalgae cultivating device (MCD) by means of traditional methods is very difficult or even impossible due to its highly nonlinearity and large operation scope. In our research, the Artificial Neural Network Model Reference Control (ANN-MRC) method was therefore utilized for model identification and controller design for O2 production process of a specific MCD prototype—photo bioreactor (PBR), based on actual experiment and computer simulation. The results demonstrated that the ANN-MRC servo controller could robustly and self-adaptively control and regulate the light intensity of PBR to make O2 concentrations in vent pipe be in line with step reference concentrations with prescribed dynamic response performance.

  13. Measurement of Spin-Correlation Parameters ANN, ASS, and ASL at 2.1GeV in Proton-Proton Elastic Scattering

    Science.gov (United States)

    Bauer, F.; Bisplinghoff, J.; Büßer, K.; Busch, M.; Colberg, T.; Demirörs, L.; Dahl, C.; Eversheim, P. D.; Eyser, O.; Felden, O.; Gebel, R.; Greiff, J.; Hinterberger, F.; Jonas, E.; Krause, H.; Lehmann, C.; Lindlein, J.; Maier, R.; Meinerzhagen, A.; Pauly, C.; Prasuhn, D.; Rohdjeß, H.; Rosendaal, D.; von Rossen, P.; Schirm, N.; Scobel, W.; Ulbrich, K.; Weise, E.; Wolf, T.; Ziegler, R.

    2003-04-01

    At the Cooler Synchrotron COSY/Jülich spin-correlation parameters in elastic proton-proton (pp) scattering have been measured with a 2.11GeV polarized proton beam and a polarized hydrogen atomic beam target. We report results for ANN, ASS, and ASL for c.m. scattering angles between 30° and 90°. Our data on ASS—the first measurement of this observable above 800MeV—clearly disagrees with predictions of available pp scattering phase-shift solutions while ANN and ASL are reproduced reasonably well. We show that in the direct reconstruction of the scattering amplitudes from the body of available pp elastic scattering data at 2.1GeV the number of possible solutions is considerably reduced.

  14. Anne Oruaas ja Mart Laanpere saavad Valgetähe V klassi ordeni / Ülle Tamm, Külli Koppelmaa

    Index Scriptorium Estoniae

    Tamm, Ülle

    2017-01-01

    Eesti Vabariigi president Kersti Kaljulaid annab Valgetähe V klassi teenetemärgi Tallinna Ülikooli Digitehnoloogiate instituudi haridustehnoloogia vanemteadurile Mart Laanperele, kes on märkimisväärselt panustanud digikultuuri edendamisse Eesti koolides ning emakeeleõpetajale ja kodukandi ajaloo uurimise ja jäädvustamisega tegeleva MTÜ Kehra Raudteejaam juhatuse liikmele Anne Oruaasale, kes on edendanud kohalikku elu Anija vallas ja eriti Kehras

  15. Applying high-frequency surrogate measurements and a wavelet-ANN model to provide early warnings of rapid surface water quality anomalies.

    Science.gov (United States)

    Shi, Bin; Wang, Peng; Jiang, Jiping; Liu, Rentao

    2018-01-01

    It is critical for surface water management systems to provide early warnings of abrupt, large variations in water quality, which likely indicate the occurrence of spill incidents. In this study, a combined approach integrating a wavelet artificial neural network (wavelet-ANN) model and high-frequency surrogate measurements is proposed as a method of water quality anomaly detection and warning provision. High-frequency time series of major water quality indexes (TN, TP, COD, etc.) were produced via a regression-based surrogate model. After wavelet decomposition and denoising, a low-frequency signal was imported into a back-propagation neural network for one-step prediction to identify the major features of water quality variations. The precisely trained site-specific wavelet-ANN outputs the time series of residual errors. A warning is triggered when the actual residual error exceeds a given threshold, i.e., baseline pattern, estimated based on long-term water quality variations. A case study based on the monitoring program applied to the Potomac River Basin in Virginia, USA, was conducted. The integrated approach successfully identified two anomaly events of TP variations at a 15-minute scale from high-frequency online sensors. A storm event and point source inputs likely accounted for these events. The results show that the wavelet-ANN model is slightly more accurate than the ANN for high-frequency surface water quality prediction, and it meets the requirements of anomaly detection. Analyses of the performance at different stations and over different periods illustrated the stability of the proposed method. By combining monitoring instruments and surrogate measures, the presented approach can support timely anomaly identification and be applied to urban aquatic environments for watershed management. Copyright © 2017 Elsevier B.V. All rights reserved.

  16. Rapport sur les deux premières années d'activités de l'Initiative ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Au cours de ses deux premières années d'activités, l'Initiative Think tank a soutenu 52 institutions établies dans quatre régions. Lisez le rapport​ pour en savoir plus sur les progrès réalisés, les bénéficiaires des subventions et les plans pour la suite.

  17. Louis Kahni mateeria, valguse ja energia arhitektuur = Louis Kahn's Architecture of Matter, Light and Energy / Anne Griswold Tyng ; tõlk. Tiina Randus

    Index Scriptorium Estoniae

    Tyng, Anne Griswold

    2007-01-01

    Louis Kahni betoonarhitektuurist (Weissi maja, 1947-1949), Yale'i kunstigaleriist (1951-1953), City Toweri projektist (1952-1958), Trentoni supelmajast (1954-1956), Salki instituudist (1959-1965, La Jolla, California), Kimbelli kunstimuuseumist (1968-1974), pealinnakompleksist Dhakas (1965-1974). Anne Griswold Tyng hakkas L. Kahni juures tööle 1945. a., tema algkooli projektist (1949-50), oma Philadelphia maja juurdeehitusest (1965-1968)

  18. Fookuses on lugemine : üks küsimus ajakirja "Raamatukogu" toimetuskolleegiumi liikmeile / Anneli Sepp, Hele Ellermaa, Mihkel Volt ... [jt.

    Index Scriptorium Estoniae

    2010-01-01

    Vastavad ERÜ esimees Anneli Sepp, Kõrveküla raamatukogu direktor Hele Ellermaa, Eesti Rahvusraamatukogu teadus- ja arenduskeskuse juhataja Mihkel Volt, Tartu Ülikooli Raamatukogu käsikirjade ja haruldaste raamatute osakonna juhataja Malle Ermel, Tartu Ülikooli Viljandi Kultuuriakadeemia infohariduse osakonna juhataja Ilmar Vaaro, Tallinna Ülikooli Akadeemlise Raamatukogu baltika ja haruldaste raamatute osakonna juhataja Katrin Kaugver, Tallinna Tehnikaülikooli Raamatukogu asedirektor Gerda Koidla ja Tartu Lutsu-nimelise Linnaraamatukogu direktor Asko Tamme

  19. ÖZ-DÜZENLEME STRATEJİLERİ VE MOTİVASYONEL İNANÇLARININ YORDAYICISI OLARAK ALGILANAN ANNE BABA TUTUMLARI

    OpenAIRE

    ÜREDİ, Işıl; ERDEN, Münire

    2009-01-01

    Araştırmanın temel amacı, algılanan anne baba tutumlarının öğrencilerin öz-düzenleme stratejileri ve motivasyonel inançlarını yordama gücünü incelemektir. Araştırmada Yılmaz (2000) tarafından Türkçeye uyarlanan, “Anne Baba Tutum Ölçeği” ile Üredi (2005) tarafından Türkçeye uyarlanan “Öğrenmeye İlişkin Motivasyonel Stratejiler Ölçeği” kullanılmıştır. Ölçekler İstanbul’da orta sosyo-ekonomik düzeyde bir ilköğretim okulunda 350, 8. sınıf öğrencisine uygulanmıştır. Bulgular, algılanan anne baba t...

  20. Use of artificial neural network (ANN) for the development of bioprocess using Pinus roxburghii fallen foliages for the release of polyphenols and reducing sugars.

    Science.gov (United States)

    Vats, Siddharth; Negi, Sangeeta

    2013-07-01

    In present study, different parameters, i.e., percentage of NaOH, loading volume, microwave power (watt) and volume of water during pretreatment were optimized by ANN for release of polyphenols and sugars from pine fallen foliage. ANN used was feed forward back propagation type with 72 input, 72 output and 10 hidden layers coupled with Lvenberg-Marquardt (LM) training algorithms. The predicted optimal values by generated neural network for alkali pretreatment were 6 ml (0.5% NaOH)/g of substrate, soaking time of 10 min followed by 1 min of 100 W microwave. Pretreated sample on enzymatic hydrolysis at 50°C for 20 h with cocktail of cellulase, xylanase and laccase produced by locally isolated consortia released 668.9 mg/g of total sugar and 265.06 mg/g of total polyphenols. Optimization by ANN showed good yield, therefore, indicating its suitability for bioprocess modeling and control for release of reducing sugars and polyphenols from pine foliage. Copyright © 2013 Elsevier Ltd. All rights reserved.

  1. Modeling of biosorption of Cu(II) by alkali-modified spent tea leaves using response surface methodology (RSM) and artificial neural network (ANN)

    Science.gov (United States)

    Ghosh, Arpita; Das, Papita; Sinha, Keka

    2015-06-01

    In the present work, spent tea leaves were modified with Ca(OH)2 and used as a new, non-conventional and low-cost biosorbent for the removal of Cu(II) from aqueous solution. Response surface methodology (RSM) and artificial neural network (ANN) were used to develop predictive models for simulation and optimization of the biosorption process. The influence of process parameters (pH, biosorbent dose and reaction time) on the biosorption efficiency was investigated through a two-level three-factor (23) full factorial central composite design with the help of Design Expert. The same design was also used to obtain a training set for ANN. Finally, both modeling methodologies were statistically compared by the root mean square error and absolute average deviation based on the validation data set. Results suggest that RSM has better prediction performance as compared to ANN. The biosorption followed Langmuir adsorption isotherm and it followed pseudo-second-order kinetic. The optimum removal efficiency of the adsorbent was found as 96.12 %.

  2. ANN Model-Based Simulation of the Runoff Variation in Response to Climate Change on the Qinghai-Tibet Plateau, China

    Directory of Open Access Journals (Sweden)

    Chang Juan

    2017-01-01

    Full Text Available Precisely quantitative assessments of stream flow response to climatic change and permafrost thawing are highly challenging and urgent in cold regions. However, due to the notably harsh environmental conditions, there is little field monitoring data of runoff in permafrost regions, which has limited the development of physically based models in these regions. To identify the impacts of climate change in the runoff process in the Three-River Headwater Region (TRHR on the Qinghai-Tibet Plateau, two artificial neural network (ANN models, one with three input variables (previous runoff, air temperature, and precipitation and another with two input variables (air temperature and precipitation only, were developed to simulate and predict the runoff variation in the TRHR. The results show that the three-input variable ANN model has a superior real-time prediction capability and performs well in the simulation and forecasting of the runoff variation in the TRHR. Under the different scenarios conditions, the forecasting results of ANN model indicated that climate change has a great effect on the runoff processes in the TRHR. The results of this study are of practical significance for water resources management and the evaluation of the impacts of climatic change on the hydrological regime in long-term considerations.

  3. A soft computing scheme incorporating ANN and MOV energy in fault detection, classification and distance estimation of EHV transmission line with FSC.

    Science.gov (United States)

    Khadke, Piyush; Patne, Nita; Singh, Arvind; Shinde, Gulab

    2016-01-01

    In this article, a novel and accurate scheme for fault detection, classification and fault distance estimation for a fixed series compensated transmission line is proposed. The proposed scheme is based on artificial neural network (ANN) and metal oxide varistor (MOV) energy, employing Levenberg-Marquardt training algorithm. The novelty of this scheme is the use of MOV energy signals of fixed series capacitors (FSC) as input to train the ANN. Such approach has never been used in any earlier fault analysis algorithms in the last few decades. Proposed scheme uses only single end measurement energy signals of MOV in all the 3 phases over one cycle duration from the occurrence of a fault. Thereafter, these MOV energy signals are fed as input to ANN for fault distance estimation. Feasibility and reliability of the proposed scheme have been evaluated for all ten types of fault in test power system model at different fault inception angles over numerous fault locations. Real transmission system parameters of 3-phase 400 kV Wardha-Aurangabad transmission line (400 km) with 40 % FSC at Power Grid Wardha Substation, India is considered for this research. Extensive simulation experiments show that the proposed scheme provides quite accurate results which demonstrate complete protection scheme with high accuracy, simplicity and robustness.

  4. Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM and Artificial Neural Network (ANN

    Directory of Open Access Journals (Sweden)

    Maria Grazia De Giorgi

    2014-08-01

    Full Text Available A high penetration of wind energy into the electricity market requires a parallel development of efficient wind power forecasting models. Different hybrid forecasting methods were applied to wind power prediction, using historical data and numerical weather predictions (NWP. A comparative study was carried out for the prediction of the power production of a wind farm located in complex terrain. The performances of Least-Squares Support Vector Machine (LS-SVM with Wavelet Decomposition (WD were evaluated at different time horizons and compared to hybrid Artificial Neural Network (ANN-based methods. It is acknowledged that hybrid methods based on LS-SVM with WD mostly outperform other methods. A decomposition of the commonly known root mean square error was beneficial for a better understanding of the origin of the differences between prediction and measurement and to compare the accuracy of the different models. A sensitivity analysis was also carried out in order to underline the impact that each input had in the network training process for ANN. In the case of ANN with the WD technique, the sensitivity analysis was repeated on each component obtained by the decomposition.

  5. Application of Ann for Prediction of Co2+, Cd2+ and Zn2+ Ions Uptake by R. Squarrosus Biomass in Single and Binary Mixtures

    Directory of Open Access Journals (Sweden)

    Nemeček Peter

    2014-06-01

    Full Text Available Discharge of heavy metals into aquatic ecosystems has become a matter of concern over the last few decades. The search for new technologies involving the removal of toxic metals from wastewaters has directed the attention to biosorption, based on metal binding capacities of various biological materials. Degree of sorbent affinity for the sorbate determines its distribution between the solid and liquid phases and this behavior can be described by adsorption isotherm models (Freundlich and Langmuir isotherm models representing the classical approach. In this study, an artificial neural network (ANN was proposed to predict the sorption efficiency in single and binary component solutions of Cd2+, Zn2+ and Co2+ ions by biosorbent prepared from biomass of moss Rhytidiadelphus squarrosus. Calculated non-linear ANN models presented in this paper are advantageous for its capability of successful prediction, which can be problematic in the case of classical isotherm approach. Quality of prediction was proved by strong agreement between calculated and measured data, expressed by the coefficient of determination in both, single and binary metal systems (R2= 0.996 and R2= 0.987, respectively. Another important benefit of these models is necessity of significantly smaller amount of data (about 50% for the model calculation. Also, it is possible to calculate Qeq for all studied metals by one combined ANN model, which totally overcomes a classical isotherm approach

  6. Simulation of Snowmelt Runoff Using SRM Model and Comparison With Neural Networks ANN and ANFIS (Case Study: Kardeh dam basin

    Directory of Open Access Journals (Sweden)

    morteza akbari

    2017-03-01

    of the basin with 2962 meters above sea level. Kardeh dam was primarily constructed on the Kardehriver for providing drinking and agriculture water demand with an annual volume rate of 21.23 million cubic meters. Satellite image: To estimate the level of snow cover, the satellite Landsat ETM+ data at path 35-159, rows 34-159 over the period 2001-2002 were used. Surfaces covered with snow were separated bysnow distinction normalized index (NDSI, But due to the lack of training data for image classification (areas with snow and no snow, the k-means unsupervised classification algorithm was used. Extracting the data from the meteorological and hydrological Since only a gauging station exists at the Kardeh dam site, the daily discharge data recorded at these stations was used. To extract meteorological parameters such as precipitation and temperature data, the records of the three stations Golmakan, Mashhad and Ghouchan, as the stations closest to the dam basin Kardeh were used. The purpose of this study was to simulate snowmelt runoff using SRM hydrological models and to compare the results with the outputs of the neural network models such as the ANN and the ANFIS model. Flow simulation was carried out using SRM, ANN model with the Multilayer Perceptron with back-propagation algorithm, and Sugeno type ANFIS. To evaluate the performance of the models in addition to the standard statistics such as mean square error or mean absolute percentage error, the regression coefficient measures and the difference in volume were used. The results showed that all three models are almost similar in terms of statistical parameters MSE and R and the differences were negligible. SRM model: SRM model is a daily hydrological model. This equation is composed of different components including 14 parameters. The input values were calculated based on the equations of degree-day factor. The evaluation of the model was performed with flow subside factor, coefficient and subtracting volume

  7. Kaubandustegevuse seadusest / Anne Laar

    Index Scriptorium Estoniae

    Laar, Anne

    2006-01-01

    Ülevaade kaubanduse õiguslikust regulatsioonist seoses kaubandustegevuse seaduse, majandustegevuse registri seaduse ning mitmete kauba müüki ning teenuse osutamist reguleerivate eriseaduste muudatuste jõustumisega

  8. Kurbade naer / Anne Lange

    Index Scriptorium Estoniae

    Lange, Anne

    1998-01-01

    Ülevaade The Times Literary Supplement 21. aug. 1998 artiklitest: George Orwelli Kogutud teostest (toim. Peter Davidson, kirj. Secker and Warburg) ja Gillian Fenwicki koostatud G. Orwelli bibliograafiast (New Castle : Oak Knoll Books). Ka G. Orwelli tõlkimisest eesti keelde

  9. Pop / Anneli Remme

    Index Scriptorium Estoniae

    Remme, Anneli, 1968-

    2004-01-01

    Heliplaatidest: Hortus Musicus "Eesti heliloojad III", Brad Mehldau Trio "Anything Goes", Vitamins For You "I'm sorry for ever and for always", The Coral "Nightfreak and the Sons of Becker", Lionel Richie "Just For You", David Byrne "Grown Backwards"

  10. Kestvusratsutajate aasta / Anne Rohtla

    Index Scriptorium Estoniae

    Rohtla, Anne

    2012-01-01

    2012. aastal viidi Eestis läbi kaheksa kestvusratsutamise võistlust, Väljaspool Eestit võisteldi Põhjamaade meistrivõistlustel Soomes, FEI noorhobuste MMil Ungaris, Euoopa juunioride meistrivõistlustel Belgias ning erinevatel CEI2* ja 3* võistlustel Soomes, Leedus ning Tšehhis

  11. Helena liinid / Anneli Remme

    Index Scriptorium Estoniae

    Remme, Anneli, 1968-

    2008-01-01

    Helena Tulve autoriplaadist "Lijnen". Esitavad NYYD Ensemble, dirigent Olari Elts, Stockholm Saxophone Quartet, Silesian String Quartet, solistid Arianna Savall, Emmanuelle Ophele-Gaubert ja Mihkel Peäske

  12. Teaduskohtumine Kanadas / Ann Paal

    Index Scriptorium Estoniae

    Paal, Ann

    2010-01-01

    Kanadas Vancouveris 7.-10. juunini toimunud 54. SRHSB (Society for research into Hydrocephalus and Spina Bifida) seltsi aastakoosolekust, kus kogunesid seljaajusonga- ja vesipeahaigetega tegelevad professionaalid üle maailma

  13. Graafikakiri Krakowist / Anne Untera

    Index Scriptorium Estoniae

    Untera, Anne, 1951-

    2006-01-01

    Krakowi graafikatriennaalist, mis tähistab tänavu 40. aastapäeva. 1991. aastast muutus graafikabiennaali rütm kolmeaastaseks - triennaaliks. Ühe kümnest võrdsest preemiast pälvis Evi Tihemets töödega "Pühendus (Leib)" ja "Pühendus (Pirnid)". Grand prix' - Ingrid Ledent. Virge Jõekalda, Marje Üksise, Ülle Marksi, Jüri Kassi, Davida Kiddi ja Basil Colin Franki töödest triennaalil. Torunis kutsutud osalejatega näitusel "Värv graafikas" osalevad Eestist Benjamin Vasserman ja Virge Jõekalda

  14. Provintsirokokoost klassitsismini / Anne Lõugas

    Index Scriptorium Estoniae

    Lõugas, Anne, 1951-

    2002-01-01

    Portreekunsti arengust 18. sajandil ja seda ala viljelevatest kunstnikest Eestis, portreedel kujutatud isikute ja kunstnike identifitseerimisest. G. C.Groothi (1716-1749), W. D. Budbergi (1740-1784), G. C. Welté (1748/49-1792), F. H. Barisieni (1724-1796), J. A. Darbes'i (1747-1810), K. F. Vernet' (1774-1825), P. Rotari (1707-1762), A. Graffi (1736-1813), K. A. Senffi (1770-1838), G. F. Kügelgeni (1772-1820) jt. portreeloomingust, ka miniatuurmaalidest ja siluettidest

  15. Maakunst Rakveres / Anne Kokkov

    Index Scriptorium Estoniae

    Kokkov, Anne

    2001-01-01

    Rahvusvaheline kunstirühmitus "The Circle" korraldab 5. augustini Rakveres V maakunstisümpoosioni. Osalejad on Eestist, Rootsist, Saksamaalt ja Venemaalt, nende seas rahvusvaheliselt tuntud kunstnikud Susan Walke ja Hans "Limbus" Tjörneryd, kes loob Rakvere kohal õhuskulptuuri.

  16. Uut moodi / Anne Vetik

    Index Scriptorium Estoniae

    Vetik, Anne

    2010-01-01

    Eesti moebrändidest, mis püüavad käivitada korrapärast tootmist ja haarata laiemat turgu. Lähemalt Mari Martini loodud kaubamärkidest Tallinn Dolls ja ReUse Republic, Kristina Viirpalu moeärist, Baltmani peadisaineri Antonio tegevusest

  17. Comparison of quality of chest compressions during training of laypersons using Push Heart and Little Anne manikins using blinded CPRcards.

    Science.gov (United States)

    Tanaka, Shota; White, Alexander E; Sagisaka, Ryo; Chong, Guanseng; Ng, Eileen; Seow, Jinny; Mj, Nurul Asyikin; Tanaka, Hideharu; Ong, Marcus Eng Hock

    2017-12-01

    Mass Cardio-Pulmonary Resuscitation (CPR) training using less expensive and easily portable manikins is one way to increase the number of trained laypeople in a short time. The easy-to-carry, low-cost CPR training model called Push Heart (PH) is widely used in Japan. The aim of this study was to examine if PH can achieve chest compression quality that is similar to that using more conventional Little Anne (LA) manikins for training laypersons. This prospective randomized crossover study was done during routine community CPR training of laypersons in Singapore. The participants were randomly allocated into two groups, using the PH and LA models respectively. They crossed over during the training so that both groups had measurements using both models. Chest compression data were collected using blinded CPRcards, which are credit card-sized devices with accelerometers and data capture. Participants did not receive any CPR feedback during measurement. Forty-two people had data captured for the study with 15 males. The median compression depth was 41.5 mm on LA and 38.0 mm on PH (p = 0.0664), and median compression rate was 105 cpm on LA and 103 cpm on PH (p = 0.2429). Overall, only 1.5% of compressions performed on the PH achieved adequate depth of between 50-70 mm compared to 5.5% achieved on LA (p = 0.049). In contrast, 84% of all compressions performed on the PH were within the adequate rate of 100-120 cpm compared to 79.5% on LA (p = 0.457). Only the under 20-year-old group was able to achieve adequate median compression depth (50.5 mm) on LA, while the older age groups did not (p = 0.0024). The other age groups performed similar quality of chest compression regardless of the model used. 73.8% of participants preferred the LA for training. After the training, participants felt similarly well-prepared with either model with a median score of 8/10 on LA compared to 7/10 on PH (p = 0.0011). The PH can be an alternative mass CPR training

  18. Le groupe de recherches transfusionnelles d’Afrique francophone: bilan des cinq premières années

    Science.gov (United States)

    Tagny, Claude Tayou; Murphy, Edward L.; Lefrère, Jean-Jacques

    2016-01-01

    Les travaux de recherches sur la sécurité transfusionnelle en Afrique sub-saharienne sont peu nombreux, souvent limités à des initiatives locales avec des conclusions difficilement représentatives de cette région. Le Groupe de recherches transfusionnelles en Afrique sub-saharienne francophone a été créé en mai 2007 avec pour objectif de développer des stratégies globales d’amélioration de la sécurité transfusionnelle mais adaptables à la situation de chaque pays. Les activités du Groupe à ce jour ont porté essentiellement sur l’obtention de données épidémiologiques et de laboratoire sur la transfusion sanguine et à proposer des stratégies de sécurité transfusionnelle dans le domaine des infections transmissibles par la transfusion. Pour mener à bien ces activités de recherche, le Groupe travaille en étroite collaboration avec les Centres nationaux de transfusion sanguine (CNTS), les Centres régionaux de transfusion sanguine (CRTS), les banques de sang hospitalières (BSH) et les postes de collecte de sang. Pour les 5 premières années, quatre priorités de recherche ont été identifiées: (i) des études descriptives sur les caractéristiques des donneurs de sang et des centres de transfusion; (ii) une estimation du risque résiduel post-transfusionnel des principales infections virales transmissibles par la transfusion; (iii) une analyse des stratégies de sélection médicale des donneurs de sang; et (iv) une description des stratégies de dépistage des ITT et une description du système d’assurance qualité externe existant. Durant cette période, sept projets ont été mis en œuvre au niveau national et publiés et cinq études multicentriques ont été réalisées et publiées. La présente étude rapporte les principales observations et recommandations de ces études. PMID:24360798

  19. Assessment of Runoff and Sediment Yields Using the AnnAGNPS Model in a Three-Gorge Watershed of China

    Directory of Open Access Journals (Sweden)

    Hongwei Nan

    2012-05-01

    Full Text Available Soil erosion has been recognized as one of the major threats to our environment and water quality worldwide, especially in China. To mitigate nonpoint source water quality problems caused by soil erosion, best management practices (BMPs and/or conservation programs have been adopted. Watershed models, such as the Annualized Agricultural Non-Point Source Pollutant Loading model (AnnAGNPS, have been developed to aid in the evaluation of watershed response to watershed management practices. The model has been applied worldwide and proven to be a very effective tool in identifying the critical areas which had serious erosion, and in aiding in decision-making processes for adopting BMPs and/or conservation programs so that cost/benefit can be maximized and non-point source pollution control can be achieved in the most efficient way. The main goal of this study was to assess the characteristics of soil erosion, sediment and sediment delivery of a watershed so that effective conservation measures can be implemented. To achieve the overall objective of this study, all necessary data for the 4,184 km2 Daning River watershed in the Three-Gorge region of the Yangtze River of China were assembled. The model was calibrated using observed monthly runoff from 1998 to 1999 (Nash-Sutcliffe coefficient of efficiency of 0.94 and R2 of 0.94 and validated using the observed monthly runoff from 2003 to 2005 (Nash-Sutcliffe coefficient of efficiency of 0.93 and R2 of 0.93. Additionally, the model was validated using annual average sediment of 2000–2002 (relative error of −0.34 and 2003–2004 (relative error of 0.18 at Wuxi station. Post validation simulation showed that approximately 48% of the watershed was under the soil loss tolerance released by the Ministry of Water Resources of China (500 t·km−2·y−1. However, 8% of the watershed had soil erosion of exceeding 5,000 t·km−2

  20. A parallel way of data decomposition approach for ANN based image reconstruction in e-MRI on a multi-core computer system

    Directory of Open Access Journals (Sweden)

    Subramanian Kartheeswaran

    2017-01-01

    Full Text Available This paper presents the performance of sequential data decomposition and parallel data decomposition strategies applied on a Back-Propagation Artificial Neural Network (BP-ANN algorithm. The application system is developed for reconstruction of two-dimensional spatial images from continuous wave electron magnetic resonance imaging (CW-EMRI tomography data, on a multi-core computer. The BP-ANN learns the relationship between the ‘ideal’ images that are reconstructed using filtered back projection (FBP technique and the corresponding projection data from various temporal data of in vivo objects. In an earlier work, it has been reported that as the exemplar sizes are too large, the training time is too long and image PSNR (Peak Signal to Noise Ratio values are too low. Hence, in the present work, we propose that the exemplar datasets are decomposed into subsets. Using these subsets, artificial sub neural nets (subnets are constructed and training is carried out on a multi-core system. Consequently, the sequential approach of the proposed method yields better PSNR images. However, it consumes more training time. But when the parallel approach is applied the computational training time becomes reduced. The parallel approach of BP-ANN is able to simplify reconstruction tasks and is seen improving both in accuracy and efficiency. The performance results are tabulated for different exemplar subset sizes, different subnet sizes and the number of multi-core processors. The parallel approach is further explored for image reconstruction from ‘noisy’ and ‘limited-angle’ datasets.

  1. Support vector machine regression (SVR/LS-SVM)--an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data.

    Science.gov (United States)

    Balabin, Roman M; Lomakina, Ekaterina I

    2011-04-21

    In this study, we make a general comparison of the accuracy and robustness of five multivariate calibration models: partial least squares (PLS) regression or projection to latent structures, polynomial partial least squares (Poly-PLS) regression, artificial neural networks (ANNs), and two novel techniques based on support vector machines (SVMs) for multivariate data analysis: support vector regression (SVR) and least-squares support vector machines (LS-SVMs). The comparison is based on fourteen (14) different datasets: seven sets of gasoline data (density, benzene content, and fractional composition/boiling points), two sets of ethanol gasoline fuel data (density and ethanol content), one set of diesel fuel data (total sulfur content), three sets of petroleum (crude oil) macromolecules data (weight percentages of asphaltenes, resins, and paraffins), and one set of petroleum resins data (resins content). Vibrational (near-infrared, NIR) spectroscopic data are used to predict the properties and quality coefficients of gasoline, biofuel/biodiesel, diesel fuel, and other samples of interest. The four systems presented here range greatly in composition, properties, strength of intermolecular interactions (e.g., van der Waals forces, H-bonds), colloid structure, and phase behavior. Due to the high diversity of chemical systems studied, general conclusions about SVM regression methods can be made. We try to answer the following question: to what extent can SVM-based techniques replace ANN-based approaches in real-world (industrial/scientific) applications? The results show that both SVR and LS-SVM methods are comparable to ANNs in accuracy. Due to the much higher robustness of the former, the SVM-based approaches are recommended for practical (industrial) application. This has been shown to be especially true for complicated, highly nonlinear objects.

  2. National Dam Safety Program. Lake Anne Dam (Inventory Number VA 05909), Potomac River Basin, Fairfax County, Virginia. Phase I Inspection Report.

    Science.gov (United States)

    1980-07-01

    left2 abutment. Wiehle Avenue, a four-lane highway, runs along the crest of the dam. A macadam path runs along the berm on the upstream slope...adequate cover of grass. NAME OF DAM: LAKE ANNE DAM 13 The junctions of the embankment and abutments are composed of vegetated earth. There is grouted ...rprap to El 327 where the Macadam path is located, it actually appears that the top of riprap is about 2 feet below the surface of the path (See Photo

  3. Reliable and accurate point-based prediction of cumulative infiltration using soil readily available characteristics: A comparison between GMDH, ANN, and MLR

    Science.gov (United States)

    Rahmati, Mehdi

    2017-08-01

    Developing accurate and reliable pedo-transfer functions (PTFs) to predict soil non-readily available characteristics is one of the most concerned topic in soil science and selecting more appropriate predictors is a crucial factor in PTFs' development. Group method of data handling (GMDH), which finds an approximate relationship between a set of input and output variables, not only provide an explicit procedure to select the most essential PTF input variables, but also results in more accurate and reliable estimates than other mostly applied methodologies. Therefore, the current research was aimed to apply GMDH in comparison with multivariate linear regression (MLR) and artificial neural network (ANN) to develop several PTFs to predict soil cumulative infiltration point-basely at specific time intervals (0.5-45 min) using soil readily available characteristics (RACs). In this regard, soil infiltration curves as well as several soil RACs including soil primary particles (clay (CC), silt (Si), and sand (Sa)), saturated hydraulic conductivity (Ks), bulk (Db) and particle (Dp) densities, organic carbon (OC), wet-aggregate stability (WAS), electrical conductivity (EC), and soil antecedent (θi) and field saturated (θfs) water contents were measured at 134 different points in Lighvan watershed, northwest of Iran. Then, applying GMDH, MLR, and ANN methodologies, several PTFs have been developed to predict cumulative infiltrations using two sets of selected soil RACs including and excluding Ks. According to the test data, results showed that developed PTFs by GMDH and MLR procedures using all soil RACs including Ks resulted in more accurate (with E values of 0.673-0.963) and reliable (with CV values lower than 11 percent) predictions of cumulative infiltrations at different specific time steps. In contrast, ANN procedure had lower accuracy (with E values of 0.356-0.890) and reliability (with CV values up to 50 percent) compared to GMDH and MLR. The results also revealed

  4. Pola Pencapaian Kesadaran Tokoh Utama Perempuan Tertindas Dalam Novel Far From The Madding Crowd Karya Thomas hardy dan The Tenant Of Wildfell Hall Karya Anne Bronte

    Directory of Open Access Journals (Sweden)

    Eva Leiliyanti

    2009-12-01

    Full Text Available Tulisan ini bertujuan mendeskripsikan pola pencapaian kesadaran tokoh utama perempuan tertindas dalam novel Far from the Madding Crowd karya Thomas Hardy dan The Tenant of Wildfell Hall karya Anne Bronte dengan pendekatan feminis. Tokoh utama bemama Bathsheba dalam Far From the Madding Crowd, sadar bahwa hidupnya berada dalam lingkungan patriarkal dan tertindas oleh dominasi laki-laki ketika ditinggal pcrgi suaminya Meskipun akhimya mcnikah dengan laki-laki yang dianggap lebih mencintainya, Bathsheba tetap berada pada posisi tersubordinasi oleh laki-laki. Kesadaran tokoh utama perempuan bemama Helen pada posisinya yang tertindas oleh laki-laki dan lingkungan patriarki dalam The Tenant of Wildfell Hall muncul saat mengetahui perselingkuhan suaminya. Agar dapat hidup bebas dan mandiri, Helen melarikan diri dari suaminya. Pilihan Anne Bronte pada solusi menuju zona liar untuk membebaskan perempuan dari ketertindasan menunjukkan konsistcnsinya sebagai perempuan pengarang, sedangkan laki-laki pengarang (Thomas Hardy memilih menempatkan tokoh perempuannya tetap bertahan dalam komunitasnya Abstract: This article aims to describe the awareness achievement pattern of the female main character being oppressed in Thomas Hardy's novel, Far From the Madding Crowd and Anne Bronte's novel. The Tenant of Wildfell Hall, by means of feminism approach. The main character in Far From the Madding Crowd, Bathsheba, realized that her life is in patriarchal surroundings and being oppressed by male domination when she was left by her husband. Although, she eventually got married to a man loving her more. Bathsheba is still in the position of subordinated by a male. The awareness of female character named Helen, in her position of being oppressed by male and patriarchal surroundings in The Tenant of Wildfell Hall, emerged when she found her husband adultery. To live free and liberated, Helen ran away from her husband. Anne Bronte's choice to a solution heading for the

  5. Trente années qui ébranlèrent la physique histoire de la théorie quantique

    CERN Document Server

    Gamow, George

    1968-01-01

    G. Gamow, dans cet ouvrage, déploie une fois encore ses qualités d'historien, de vulgarisateur et d'homme d'esprit. L'"histoire de la théorie quantique" raconte la naissance de la physique moderne au cours des trente premières années du siècle, en nous guidant ainsi à travers cette galerie de portraits où les grands noms de la physique sont présentés, par les textes, les photographies et les croquis, sous leur aspect le moins académique.

  6. Introduction to Reference Sources in the Health Sciences: an interview with Jo Anne Boorkman, Jeffrey T. Huber and Fred W. Roper. Interview by Elizabeth Connor.

    Science.gov (United States)

    Boorkman, Jo Anne; Huber, Jeffrey T; Roper, Fred W

    2005-01-01

    Few works serve as solid a framework for the field of health sciences librarianship or provide as many insights and detailed knowledge as Introduction to Reference Sources in the Health Sciences. Now in its fourth edition, the book's editors and contributors represent an impressive range of experience, expertise, and subject knowledge appreciated by practicing librarians in a variety of settings and by students of health sciences librarianship. Jo Anne Boorkman, Jeffrey T. Huber, and Fred W. Roper answered a series of questions about the latest edition of this seminal work, and offered opinions about reference works, services, and librarians.

  7. Predicting fuelwood prices in Greece with the use of ARIMA models, artificial neural networks and a hybrid ARIMA-ANN model

    Energy Technology Data Exchange (ETDEWEB)

    Koutroumanidis, Theodoros [Department of Agricultural Development, Democritus University of Thrace, Pantazidou 193, 68200 Orestiada (Greece); Ioannou, Konstantinos [Laboratory of Forest Informatics, School of Forestry and Natural Environment, Aristotle University of Thessaloniki, Box 247, 54 124 Thessaloniki (Greece); Arabatzis, Garyfallos [Department of Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace, Pantazidou 193, 68200 Orestiada (Greece)

    2009-09-15

    Throughout history, energy resources have acquired a strategic significance for the economic growth and social welfare of any country. The large-scale oil crisis of 1973 coupled with various environmental protection issues, have led many countries to look for new, alternative energy sources. Biomass and fuelwood in particular, constitutes a major renewable energy source (RES) that can make a significant contribution, as a substitute for oil. This paper initially provides a description of the contribution of renewable energy sources to the production of electricity, and also examines the role of forests in the production of fuelwood in Greece. Following this, autoregressive integrated moving average (ARIMA) models, artificial neural networks (ANN) and a hybrid model are used to predict the future selling prices of the fuelwood (from broadleaved and coniferous species) produced by Greek state forest farms. The use of the ARIMA-ANN hybrid model provided the optimum prediction results, thus enabling decision-makers to proceed with a more rational planning for the production and fuelwood market. (author)

  8. Evaluation of the AnnAGNPS Model for Predicting Runoff and Nutrient Export in a Typical Small Watershed in the Hilly Region of Taihu Lake

    Directory of Open Access Journals (Sweden)

    Chuan Luo

    2015-09-01

    Full Text Available The application of hydrological and water quality models is an efficient approach to better understand the processes of environmental deterioration. This study evaluated the ability of the Annualized Agricultural Non-Point Source (AnnAGNPS model to predict runoff, total nitrogen (TN and total phosphorus (TP loading in a typical small watershed of a hilly region near Taihu Lake, China. Runoff was calibrated and validated at both an annual and monthly scale, and parameter sensitivity analysis was performed for TN and TP before the two water quality components were calibrated. The results showed that the model satisfactorily simulated runoff at annual and monthly scales, both during calibration and validation processes. Additionally, results of parameter sensitivity analysis showed that the parameters Fertilizer rate, Fertilizer organic, Canopy cover and Fertilizer inorganic were more sensitive to TN output. In terms of TP, the parameters Residue mass ratio, Fertilizer rate, Fertilizer inorganic and Canopy cover were the most sensitive. Based on these sensitive parameters, calibration was performed. TN loading produced satisfactory results for both the calibration and validation processes, whereas the performance of TP loading was slightly poor. The simulation results showed that AnnAGNPS has the potential to be used as a valuable tool for the planning and management of watersheds.

  9. Le difficile retour du " collectif " dans la gestion de l’eau : Regards sur 15 années d’efforts en Camargue gardoise

    Directory of Open Access Journals (Sweden)

    Daniel Petit

    2004-11-01

    Full Text Available Suite aux grandes mutations des années 60-70 en Camargue gardoise et à l’obsolescence du Traité des Marais qui réglait la gestion collective des niveaux d’eau, les acteurs économiques liés à l’eau se sont positionnés sur des logiques individualistes. L’eau est devenue l’objet de maints conflits avec de graves conséquences sur les ressources et les milieux. La mise en œuvre d’une Charte de l’environnement et d’un SAGE au début des années 90 a constitué les prémices du retour du " collectif " dans la gestion de l’eau. Mais on est encore loin de l’eau comme vecteur d’une construction territoriale à travers une communauté de projet liée à l’eau.

  10. Removal of high concentration of sulfate from pigment industry effluent by chemical precipitation using barium chloride: RSM and ANN modeling approach.

    Science.gov (United States)

    Navamani Kartic, D; Aditya Narayana, B Ch; Arivazhagan, M

    2018-01-15

    Sulfate ions pose a major threat and challenge in the treatment of industrial effluents. The sample of wastewater obtained from a pigment industry contained large quantities of sulfate in the form of sodium sulfate which resulted in high TDS. As the removal of sulfate from pigment industry effluent was not reported previously, this work was focused on removing the sulfate ions from the effluent by chemical precipitation using barium chloride. The efficiency of sulfate removal was nearly 100% at an excess dosage of barium chloride, which precipitates the dissolved sulfate ions in the form of barium sulfate. Optimization of the parameters was done using Response Surface Methodology (RSM). This work is the first attempt for modeling the removal of sulfate from pigment industry effluent using RSM and Artificial Neural Network (ANN). Prediction by both the models was evaluated and both of them exhibited good performance (R2 value > 0.99). It was observed that the prediction by RSM (R2 value 0.9986) was closer to the experimental results than ANN prediction (R2 value 0.9955). The influence on the pH and conductivity of the solution by dosage of precipitant was also studied. The formation of barium sulfate was confirmed by characterization of the precipitate. Therefore, the sulfate removed from the effluent was converted into a commercially valuable precipitate. Copyright © 2017 Elsevier Ltd. All rights reserved.

  11. A comparison RSM and ANN surface roughness models in thin-wall machining of Ti6Al4V using vegetable oils under MQL-condition

    Science.gov (United States)

    Mohruni, Amrifan Saladin; Yanis, Muhammad; Sharif, Safian; Yani, Irsyadi; Yuliwati, Erna; Ismail, Ahmad Fauzi; Shayfull, Zamree

    2017-09-01

    Thin-wall components as usually applied in the structural parts of aeronautical industry require significant challenges in machining. Unacceptable surface roughness can occur during machining of thin-wall. Titanium product such Ti6Al4V is mostly applied to get the appropriate surface texture in thin wall designed requirements. In this study, the comparison of the accuracy between Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) in the prediction of surface roughness was conducted. Furthermore, the machining tests were carried out under Minimum Quantity Lubrication (MQL) using AlCrN-coated carbide tools. The use of Coconut oil as cutting fluids was also chosen in order to evaluate its performance when involved in end milling. This selection of cutting fluids is based on the better performance of oxidative stability than that of other vegetable based cutting fluids. The cutting speed, feed rate, radial and axial depth of cut were used as independent variables, while surface roughness is evaluated as the dependent variable or output. The results showed that the feed rate is the most significant factors in increasing the surface roughness value followed by the radial depth of cut and lastly the axial depth of cut. In contrary, the surface becomes smoother with increasing the cutting speed. From a comparison of both methods, the ANN model delivered a better accuracy than the RSM model.

  12. ANN Synthesis Model of Single-Feed Corner-Truncated Circularly Polarized Microstrip Antenna with an Air Gap for Wideband Applications

    Directory of Open Access Journals (Sweden)

    Zhongbao Wang

    2014-01-01

    Full Text Available A computer-aided design model based on the artificial neural network (ANN is proposed to directly obtain patch physical dimensions of the single-feed corner-truncated circularly polarized microstrip antenna (CPMA with an air gap for wideband applications. To take account of the effect of the air gap, an equivalent relative permittivity is introduced and adopted to calculate the resonant frequency and Q-factor of square microstrip antennas for obtaining the training data sets. ANN architectures using multilayered perceptrons (MLPs and radial basis function networks (RBFNs are compared. Also, six learning algorithms are used to train the MLPs for comparison. It is found that MLPs trained with the Levenberg-Marquardt (LM algorithm are better than RBFNs for the synthesis of the CPMA. An accurate model is achieved by using an MLP with three hidden layers. The model is validated by the electromagnetic simulation and measurements. It is enormously useful to antenna engineers for facilitating the design of the single-feed CPMA with an air gap.

  13. Annelerin Anne Sütünü Artırmaya Yönelik Aldıkları Besinler

    OpenAIRE

    Erkaya, Reyhan; GÜRSOY, Ayla AKKAŞ; GÜLER, Handan

    2015-01-01

    Annelerin anne sütünü artırmaya yönelik aldıkları besinleri belirlemek amacıyla tanımlayıcı olarak yapılan bu çalışma, Trabzon İl Sağlık Müdürlüğüne bağlı il merkezinde bulunan 15 Aile Sağlığı Merkezinde yapılmıştır. Örneklemi 335 anne olmuştur. Veriler araştırmacı tarafından literatüre göre hazırlanan soru formuyla toplanmıştır. Verilerin toplanabilmesi için Trabzon Valiliğinden resmi izin alınmış, anneler araştırma hakkında bilgilendirilmiş ve yazılı onamları alınmıştır. Veriler araştırmacı...

  14. Application of Social Cognitive Career Theory to Investigate the Effective Factors of the Career Decision-Making Intention in Iranian Agriculture Students by Using ANN

    Directory of Open Access Journals (Sweden)

    Somayeh Rajabi

    2012-12-01

    Full Text Available The main purpose of this study was to determine the factors that affect the career decision-making intention of agriculture students of Kermanshah University based on Social Cognitive Career Theory (SCCT, by using Artificial Neural Network (ANN. The research population included agriculture students (N = 1,122. Using stratified random sampling, a sample of 288 was constituted. Data were collected using a questionnaire, which consisted of four parts: Career Decision-Making Self-Efficacy (CDMSE, Career Decision-Making Outcome Expectation (CDMOE , Career Exploratory Plans or Intentions (CEPI, and NEO Five Factor Inventory (NEO-FFI. Back translation was used for validity, and reliability was assessed using Cronbach’s alpha coefficient. To analyze the data, statistical methods and ANN with MATLAB software were used. On the basis of trial and error, a network, including three layers with one hidden layer with 20 neurons, Levenberg–Marquardt training algorithm, and sigmoidal transfer functions, was selected to construct the network of career decision-making intention. After training and simulation, the validation of the network was tested by linear regression (R = .999. For assurance of the generalization, the network was tested again. Finally, analysis of variance was used to compare the network output.

  15. First and Second-Law Efficiency Analysis and ANN Prediction of a Diesel Cycle with Internal Irreversibility, Variable Specific Heats, Heat Loss, and Friction Considerations

    Directory of Open Access Journals (Sweden)

    M. M. Rashidi

    2014-04-01

    Full Text Available The variability of specific heats, internal irreversibility, heat and frictional losses are neglected in air-standard analysis for different internal combustion engine cycles. In this paper, the performance of an air-standard Diesel cycle with considerations of internal irreversibility described by using the compression and expansion efficiencies, variable specific heats, and losses due to heat transfer and friction is investigated by using finite-time thermodynamics. Artificial neural network (ANN is proposed for predicting the thermal efficiency and power output values versus the minimum and the maximum temperatures of the cycle and also the compression ratio. Results show that the first-law efficiency and the output power reach their maximum at a critical compression ratio for specific fixed parameters. The first-law efficiency increases as the heat leakage decreases; however the heat leakage has no direct effect on the output power. The results also show that irreversibilities have depressing effects on the performance of the cycle. Finally, a comparison between the results of the thermodynamic analysis and the ANN prediction shows a maximum difference of 0.181% and 0.194% in estimating the thermal efficiency and the output power. The obtained results in this paper can be useful for evaluating and improving the performance of practical Diesel engines.

  16. Facteurs prédictifs de succès des étudiants en première année de médecine à l'université de Parakou

    Science.gov (United States)

    Adoukonou, Thierry; Tognon-Tchegnonsi, Francis; Mensah, Emile; Allodé, Alexandre; Adovoekpe, Jean-Marie; Gandaho, Prosper; Akpona, Simon

    2016-01-01

    Introduction Plusieurs facteurs dont les notes obtenues au BAC peuvent influencer les performances académiques des étudiants en première année de médecine. L'objectif de cette étude était d’évaluer la relation entre les résultats des étudiants au BAC et le succès en première année de médecine. Méthodes Nous avons réalisé une étude analytique ayant inclus l'ensemble des étudiants régulièrement inscrits en première année à la Faculté de Médecine de l'université de Parakou durant l'année académique 2010-2011. Les données concernant les notes par discipline et mention obtenue au BAC ont été collectées. Une analyse multivariée utilisant la régression logistique et la régression linéaire multiple a permis d’établir les meilleurs prédicteurs du succès et de la moyenne de l’étudiant en fin d'année. Le logiciel SPSS version 17.0 a été utilisé pour l'analyse des données et un p 15/20 était associée au succès (OR: 2,8 [1,32- 6,00]). Pour la moyenne générale obtenue en fin d'année seule une mention bien obtenue au BAC était associée (coefficient de l'erreur standard: 0,130 Bêta =0,370 et p=0,00001). Conclusion Les meilleurs prédicateurs du succès en première année étaient une bonne moyenne en sciences physiques au BAC et une mention bien. La prise en compte de ces éléments dans le recrutement des étudiants en première année pourrait améliorer les résultats académiques. PMID:27313819

  17. 24 années d’épidémie de sida dans l’archipel indonésien

    Directory of Open Access Journals (Sweden)

    Laurence Husson

    2012-10-01

    Full Text Available L’ONUSIDA dans son bilan 2007 estimait le nombre de personnes infectées par le VIH dans le monde à 33 millions, avec 2,7 millions de nouvelles contaminations et 2 millions de décès dans l’année. Si l’Afrique subsaharienne était de loin la région du monde la plus durement touchée avec 22 millions de personnes infectées, l’Asie du Sud et du Sud-Est était aussi très concernée avec 4,2 millions de personnes porteuses du virus. Au sein de cette Asie, l’Indonésie, avec 240 millions d’habitants en 2...

  18. Histoire des forêts du versant nord des Pyrénées au cours des 30000 dernières années

    OpenAIRE

    Jalut, Guy; Galop, Didier; Belet, Jean-Marc; Aubert, Sandrine; Esteban Amat, A.; Bouchette, A.; Dedoubat, Jean-Jacques; Fontugne, Michel

    1998-01-01

    Les recherches playnologiques réalisées dans le versant nord des Pyrénées ainsi que les données anthracologiques disponibles et les études de macrorestes végétaux permettent de décrire les étapes de la mise en place des principales essences forestières au cours des 30000 dernières années. Dans les Pyrénées centrales, avant 30000 BP, l'épicéa était bien développé. Les données anthracologiques permettent de penser qu'il a disparu des Pyrénées vers 18000-17000 BP. Entre 11000 BP et 10000 BP, l'u...

  19. Anne-Claire Rebreyend, Intimités amoureuses, France, 1920-1975, Toulouse, Presses universitaires du Mirail, 2008, 340 p.

    Directory of Open Access Journals (Sweden)

    Rebecca Rogers

    2010-07-01

    Full Text Available Dans ce troisième volume de la collection « Le temps du genre » des Presses universitaires du Mirail, Anne-Claire Rebreyend analyse avec élégance la manière dont des hommes et des femmes « ordinaires » du XXe siècle parlaient des affaires du cœur et du corps. S’appuyant sur 247 textes inédits du fonds des Archives Pour l’Autobiographie (APA, ainsi que sur des fonds mieux connus – celui de Menie Grégoire, de Simone de Beauvoir et du Mouvement Français pour le Planning Familial – la  jeune che...

  20. L’émergence d’un nouveau modèle de jeunesse dans les années 1930 en Irak

    OpenAIRE

    Wien, Peter

    2017-01-01

    Ce texte présente l’émergence d’un nouveau modèle de jeunesse dans l’Irak des années 1930. Aux yeux des nationalistes panarabes, la jeunesse a joué le rôle d’avant-garde du nationalisme. J’évoquerai d’abord la façon dont les médias arabes irakiens ont utilisé le mouvement de jeunesse nationale pour construire une image de la jeunesse masculine. Dans le discours du nationalisme arabe, cette image repose sur une conception de la masculinité constituée par la bravoure, une bonne condition physiq...

  1. ANFIS, SVM and ANN soft-computing techniques to estimate daily global solar radiation in a warm sub-humid environment

    Science.gov (United States)

    Quej, Victor H.; Almorox, Javier; Arnaldo, Javier A.; Saito, Laurel

    2017-03-01

    Daily solar radiation is an important variable in many models. In this paper, the accuracy and performance of three soft computing techniques (i.e., adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and support vector machine (SVM) were assessed for predicting daily horizontal global solar radiation from measured meteorological variables in the Yucatán Peninsula, México. Model performance was assessed with statistical indicators such as root mean squared error (RMSE), mean absolute error (MAE) and coefficient of determination (R2). The performance assessment indicates that the SVM technique with requirements of daily maximum and minimum air temperature, extraterrestrial solar radiation and rainfall has better performance than the other techniques and may be a promising alternative to the usual approaches for predicting solar radiation.

  2. Une très riche année 2009 pour la défense et l’illustration de l’Évolution biologique

    OpenAIRE

    2010-01-01

    En cette année 2009, on commémore officiellement le cent cinquantenaire de la publication de L’Origine des espèces de Charles Darwin, ouvrage fondamental que l’on peut considérer à bon droit comme l’acte de naissance de toute la biologie évolutionniste et comparative moderne. De multiples manifestations en France comme à l’étranger (http://www.darwin2009.fr/) concrétiseront donc l’intérêt porté à l’œuvre de Darwin et à la thématique de l’évolution en général, L’Académie des Sciences publiera ...

  3. A Woman Leaving Twice to Arrive: The Journey as Quest for a Gendered Diasporic Identity in Anne Devlin’s After Easter

    Directory of Open Access Journals (Sweden)

    Mária Kurdi

    2010-03-01

    Full Text Available Nowadays the joint themes of living at the borderland of cultures and responding to the pressures which emerge during the necessary re-formation of identity are treated in an increasing number of literary works. The subject of the present paper is Anne Devlin’s After Easter, a drama which uses the trope of the journey to fuse the constraints of exilic existence with narratives of gender, race and generational tension. My analysis explores how Greta, questor of a new diasporic identity, manages to reinterpret conflicting images and discourses as she confronts them on revisiting her original home country, Troubles-ridden Northern Ireland. By the end of the journey she is able to invent her own story, intertwining concerns of origin and continuity, love of the mother(land as well as of the Other, and through that she re-constructs her identity as a self-assured migrant.

  4. Investigating the Effect of Sympathetic Skin Response Parameters on the Psychological Test Scores in Patients with Fibromyalgia Syndrome by Using ANNS

    Directory of Open Access Journals (Sweden)

    Murat Yıldız

    2013-01-01

    Full Text Available In this study, psychological tests such as Visual Analogue Pain Scale, Verbal Pain Scale, Beck Depression Inventory, Beck Anxiety Inventory, Hamilton Depression Rating Scale and Hamilton Anxiety Scale were applied to the selected healthy subjects and patients with Fibromyalgia Syndrome (FMS in Suleyman Demirel University, Faculty of Medicine, Department of Physical Medicine and Rehabilitation and the scores were recorded. A measurement system was established in the same department of the university to measure the sympathetic skin response (SSR from the subjects. The SSR was measured and recorded. The parameters such as latency time, maximum amplitude and the elapsed time were calculated by using Matlab software from the recorded SSR data. SSR parameters were added to the scores and diagnosis accuracy percentages of the FMS calculated by using artificial neural networks (ANNs. Obtained results from the simulations showed that the specified parameters of the SSR and FMS were concerned and these parameters can be used as a diagnostic method in FMS.

  5. Examination and comparative study of the Ascension of The Prophet of Islam In The View Of Michael Sells And Anne-mari e Shamil with Inter- Religious Attitude

    Directory of Open Access Journals (Sweden)

    Mahdi Azadi

    2015-09-01

    Full Text Available Michael Sells, American scholar of Quran,about the Ascension (Mi,raj of the prophet (PBUH focuses on three issues: First, the Mi,raj term is not used in the Quran and the ascension of the explanation is not enough. second, Mohammad is no different from the miracle of the Quran is the miracle of God,he is not anything else, Quran states. Third, Ascension of the prophet (PBUH has been in sleep and dream.According to him, the discussion about the layers of the subject is based mainly on the evidence of Quran.In this case, only limited information can be found in the Asra chapter (sooreh of the Quran.In addition, he has tried to make the Ascension event from Jewish traditions and the effects Bvdaysm.actually the orientalist`s goal is to prove the absence of ascension of the prophet(PBUH.  In contrast, Anne-marie Shamil stayes that prophet`s ascension derived from the first verse of Asra sura and believes that two processes(horizontal and verticalfor prophet happened.and unlike Michael,he knows mi,raj from the God miracles.Anne-Marie because her sufficient the Sunni sources is doubt with belief in the physical and spiritual ascension,in some of her votes,such as; visible or not visible in the ascension of God by the prophet.Despite the fundamental criticism that some elements of the theory of two Orientalists arrived,positive points are observed in their ideas.in this article we have tried to express the views of the Orientalists, then to review their ideas considered

  6. Juhtidega kommunikatsioonist: Eesti juhtidel jääb puudu väljendusoskusest / Anneli Kannus, Jüri Pruulmann, Magnus Lužkov ...[jt.] ; intervjueerinud Kertu Kärk

    Index Scriptorium Estoniae

    2014-01-01

    Organisatsiooni sise- ja väliskommunikatsiooni korraldusest, juhi rollist selles, enda kogemustest kommuniatsiooni vallas, Eesti juhtide kommunikatsioonioskusest ja koolitusvajadusest räägivad vestlusringis Tartu Tervishoiu Kõrgkooli rektor Anneli Kannus, ettevõtja Jüri Pruulmann, reklaamiagentuuri Optimist tegevjuht ja strateeg Magnus Lužkov, resideeruv ettevõtja Arengufondis Tiit Paananen ning juhtide coach ja personaliotsingu konsultant Tõnis Arro

  7. Development of a two-stage procedure for the automatic recognition of dysfluencies in the speech of children who stutter: II. ANN recognition of repetitions and prolongations with supplied word segment markers.

    Science.gov (United States)

    Howell, P; Sackin, S; Glenn, K

    1997-10-01

    This program of work is intended to develop automatic recognition procedures to locate and assess stuttered dysfluencies. This and the preceding article focus on developing and testing recognizers for repetitions and prolongations in stuttered speech. The automatic recognizers classify the speech in two stages: In the first the speech is segmented and in the second the segments are categorized. The units segmented are words. The current article describes results for an automatic recognizer intended to classify words as fluent or containing a repetition or prolongation in a text read by children who stutter that contained the three types of words alone. Word segmentations are supplied and the classifier is an artificial neural network (ANN). Classification performance was assessed on material that was not used for training. Correct performance occurred when the ANN placed a word into the same category as the human judge whose material was used to train the ANNs. The best ANN correctly classified 95% of fluent, and 78% of dysfluent words in the test material.

  8. Preliminary Analysis of the efficacy of Artificial neural Network (ANN) and Cellular Automaton (CA) based Land Use Models in Urban Land-Use Planning

    Science.gov (United States)

    Harun, R.

    2013-05-01

    This research provides an opportunity of collaboration between urban planners and modellers by providing a clear theoretical foundations on the two most widely used urban land use models, and assessing the effectiveness of applying the models in urban planning context. Understanding urban land cover change is an essential element for sustainable urban development as it affects ecological functioning in urban ecosystem. Rapid urbanization due to growing inclination of people to settle in urban areas has increased the complexities in predicting that at what shape and size cities will grow. The dynamic changes in the spatial pattern of urban landscapes has exposed the policy makers and environmental scientists to great challenge. But geographic science has grown in symmetry to the advancements in computer science. Models and tools are developed to support urban planning by analyzing the causes and consequences of land use changes and project the future. Of all the different types of land use models available in recent days, it has been found by researchers that the most frequently used models are Cellular Automaton (CA) and Artificial Neural Networks (ANN) models. But studies have demonstrated that the existing land use models have not been able to meet the needs of planners and policy makers. There are two primary causes identified behind this prologue. First, there is inadequate understanding of the fundamental theories and application of the models in urban planning context i.e., there is a gap in communication between modellers and urban planners. Second, the existing models exclude many key drivers in the process of simplification of the complex urban system that guide urban spatial pattern. Thus the models end up being effective in assessing the impacts of certain land use policies, but cannot contribute in new policy formulation. This paper is an attempt to increase the knowledge base of planners on the most frequently used land use model and also assess the

  9. Temporal dynamics of land use/land cover change and its prediction using CA-ANN model for southwestern coastal Bangladesh.

    Science.gov (United States)

    Rahman, M Tauhid Ur; Tabassum, Faheemah; Rasheduzzaman, Md; Saba, Humayra; Sarkar, Lina; Ferdous, Jannatul; Uddin, Syed Zia; Zahedul Islam, A Z M

    2017-10-17

    Change analysis of land use and land cover (LULC) is a technique to study the environmental degradation and to control the unplanned development. Analysis of the past changing trend of LULC along with modeling future LULC provides a combined opportunity to evaluate and guide the present and future land use policy. The southwest coastal region of Bangladesh, especially Assasuni Upazila of Satkhira District, is the most vulnerable to natural disasters and has faced notable changes in its LULC due to the combined effects of natural and anthropogenic causes. The objectives of this study are to illustrate the temporal dynamics of LULC change in Assasuni Upazila over the last 27 years (i.e., between 1989 and 2015) and also to predict future land use change using CA-ANN (cellular automata and artificial neural network) model for the year 2028. Temporal dynamics of LULC change was analyzed, employing supervised classification of multi-temporal Landsat images. Then, prediction of future LULC was carried out by CA-ANN model using MOLUSCE plugin of QGIS. The analysis of LULC change revealed that the LULC of Assasuni had changed notably during 1989 to 2015. "Bare lands" decreased by 21% being occupied by other land uses, especially by "shrimp farms." Shrimp farm area increased by 25.9% during this period, indicating a major occupational transformation from agriculture to shrimp aquaculture in the study area during the period under study. Reduction in "settlement" area revealed the trend of migration from the Upazila. The predicted LULC for the year 2028 showed that reduction in bare land area would continue and 1595.97 ha bare land would transform into shrimp farm during 2015 to 2028. Also, the impacts of the changing LULC on the livelihood of local people and migration status of the Upazila were analyzed from the data collected through focus group discussions and questionnaire surveys. The analysis revealed that the changing LULC and the occupational shift from paddy

  10. Comparative chemometric modeling of cytochrome 3A4 inhibitory activity of structurally diverse compounds using stepwise MLR, FA-MLR, PLS, GFA, G/PLS and ANN techniques.

    Science.gov (United States)

    Roy, Kunal; Pratim Roy, Partha

    2009-07-01

    Twenty-eight structurally diverse cytochrome 3A4 (CYP3A4) inhibitors have been subjected to quantitative structure-activity relationship (QSAR) studies. The analyses were performed with electronic, spatial, topological, and thermodynamic descriptors calculated using Cerius 2 version 10 software. The statistical tools used were linear [multiple linear regression with factor analysis as preprocessing step (FA-MLR), stepwise MLR, partial least squares (PLS), genetic function algorithm (GFA), genetic PLS (G/PLS)] and non-linear methods [artificial neural network (ANN)]. All the five linear modeling methods indicate the importance of n-octanol/water partition coefficient (logP) along with different topological and electronic parameters. The best model obtained from the training set (stepwise regression) based on highest external predictive R(2) value and lowest RMSEP value also showed good internal predictive power. Other models like FA-MLR, PLS, GFA and G/PLS are also of statistically significant internal and external validation characteristics. The best model [according to r(m)(2) for the test set, as defined by P.P. Roy, K. Roy, QSAR Comb. Sci. 27 (2008) 302-313] obtained from ANN showed a good r(2) value (determination coefficient between observed and predicted values) for the test set compounds, which was superior to those of other statistical models except the stepwise regression derived model. However, based upon the r(m)(2) value (test set), which penalizes a model for large differences between observed and predicted values, the stepwise MLR model was found to be inferior to other methods except PLS. Considering r(m)(2) value for the whole set, the G/PLS derived model appears to be the best predictive model for this data set. For choosing the best predictive model from among comparable models, r(m)(2) for the whole set calculated based on leave-one-out predicted values of the training set and model-derived predicted values for the test set compounds is suggested

  11. Hydrology and sediment budget of Los Laureles Canyon, Tijuana, MX: Modelling channel, gully, and rill erosion with 3D photo-reconstruction, CONCEPTS, and AnnAGNPS

    Science.gov (United States)

    Taniguchi, Kristine; Gudiño, Napoleon; Biggs, Trent; Castillo, Carlos; Langendoen, Eddy; Bingner, Ron; Taguas, Encarnación; Liden, Douglas; Yuan, Yongping

    2015-04-01

    Several watersheds cross the US-Mexico boundary, resulting in trans-boundary environmental problems. Erosion in Tijuana, Mexico, increases the rate of sediment deposition in the Tijuana Estuary in the United States, altering the structure and function of the ecosystem. The well-being of residents in Tijuana is compromised by damage to infrastructure and homes built adjacent to stream channels, gully formation in dirt roads, and deposition of trash. We aim to understand the dominant source of sediment contributing to the sediment budget of the watershed (channel, gully, or rill erosion), where the hotspots of erosion are located, and what the impact of future planned and unplanned land use changes and Best Management Practices (BMPs) will be on sediment and storm flow. We will be using a mix of field methods, including 3D photo-reconstruction of stream channels, with two models, CONCEPTS and AnnAGNPS to constrain estimates of the sediment budget and impacts of land use change. Our research provides an example of how 3D photo-reconstruction and Structure from Motion (SfM) can be used to model channel evolution.

  12. Comparison of two data mining techniques in labeling diagnosis to Iranian pharmacy claim dataset: artificial neural network (ANN) versus decision tree model.

    Science.gov (United States)

    Rezaei-Darzi, Ehsan; Farzadfar, Farshad; Hashemi-Meshkini, Amir; Navidi, Iman; Mahmoudi, Mahmoud; Varmaghani, Mehdi; Mehdipour, Parinaz; Soudi Alamdari, Mahsa; Tayefi, Batool; Naderimagham, Shohreh; Soleymani, Fatemeh; Mesdaghinia, Alireza; Delavari, Alireza; Mohammad, Kazem

    2014-12-01

    This study aimed to evaluate and compare the prediction accuracy of two data mining techniques, including decision tree and neural network models in labeling diagnosis to gastrointestinal prescriptions in Iran. This study was conducted in three phases: data preparation, training phase, and testing phase. A sample from a database consisting of 23 million pharmacy insurance claim records, from 2004 to 2011 was used, in which a total of 330 prescriptions were assessed and used to train and test the models simultaneously. In the training phase, the selected prescriptions were assessed by both a physician and a pharmacist separately and assigned a diagnosis. To test the performance of each model, a k-fold stratified cross validation was conducted in addition to measuring their sensitivity and specificity. Generally, two methods had very similar accuracies. Considering the weighted average of true positive rate (sensitivity) and true negative rate (specificity), the decision tree had slightly higher accuracy in its ability for correct classification (83.3% and 96% versus 80.3% and 95.1%, respectively). However, when the weighted average of ROC area (AUC between each class and all other classes) was measured, the ANN displayed higher accuracies in predicting the diagnosis (93.8% compared with 90.6%). According to the result of this study, artificial neural network and decision tree model represent similar accuracy in labeling diagnosis to GI prescription.

  13. Düşünme Stilleri Ve Anne-Baba Tutumları Arasındaki İlişki

    OpenAIRE

    Palut, Birsen

    2008-01-01

    Düşünme stili bireyin zihninde olup bitenlerin ve düşünme süreçlerinin farklı şekillerde dışa yansıması olarak tanımlanmaktadır. Düşünme stillerinin oluşum ve gelişim sürecinde bireyin sosyalleşme süreci önemli bir yer tutmaktadır. Bu süreçte anne ve baba tutumları bireylerde hangi tür düşünme süreçlerinin baskın hale geleceğinin belirlenmesinde en önemli faktörlerden birini oluşturmaktadır. Ailelerin içinde yaşadığı kültürel değerler ve inançlar ebeveynlerin çocuk yetiştirme değerlerini, gel...

  14. Anne-Babaların Yılmazlık Algılarının Bazı Değişkenler Açısından İncelenmesi

    Directory of Open Access Journals (Sweden)

    Sema Kaner

    2011-07-01

    Full Text Available Bu çalışmada, anne-babaların yılmazlık algıları, çocuklarında zihinsel yetersizliğin olup olmamasına, anne ya da baba olmalarına ve yaşlarına göre farklılaşıp farklılaşmadığı incelenmiştir. Araştırma grubu, zihinsel yetersizliği olan çocuğa sahip 105, çocuğu normal gelişim gösteren 419, toplam 524 anne-babadan oluşmaktadır. Araştırmada, Aile Yılmazlık Ölçeği kullanılmıştır. Veriler, MANCOVA ile analiz edilmiştir. Bulgular, Mücadelecilik, Öz-Yetkinlik, Yaşama Bağlılık alt ölçeklerinde ve ölçeğin toplamında normal gelişim gösteren çocuğa sahip anne-babaların kendilerini zihinsel yetersizliği olan çocuklu anne-babalara göre daha yılmaz algıladıklarını; babalara göre annelerin Öz-yetkinlik boyutunda daha yılmaz özelliklere sahip olduklarını; artan yaşla birlikte yılmazlığın öğelerinden olan öz-yetkinlik inançlarının ve yaşama bağlılığın anne-babalarda azaldığını ortaya koymuştur In this study, parental resilience was investigated in terms of having a child with and without intellectual disability, being mother or father, and parental age. Sample is consisted of 524 parents. 105 parents have children with intellectual disability, and 419 parents have typically developing children. Parental Resiliency Scale is used in this study. Data were analyzed by MANCOVA. Results showed that parents of children without disability perceived themselves more resilient in Challenge, Self-Efficacy, Commitment to Life subscales and also in Total than the other parent group; mothers have more resilient characteristics than fathers in SelfEfficacy subscale; parental resilience decreased by growth in age in Self-Efficacy and Commitment to Life subscales.

  15. Sinine Laguun - sinine pärl mustade laavaväljade embuses / Riina Luik

    Index Scriptorium Estoniae

    Luik, Riina, 1962-

    2010-01-01

    Islandi loodusest, geisritest ning kuumaveeallikatest ja nende kasutamisest saare kütteallikatena ning spaaturismis, täpsemalt Sinise Laguuni nimelise termaaljärve juurde ehitatud ülimoodsast sama nimelisest kompleksist, kus on nii spaa, restoran, kliinik psoriaasihaigetele, kui ka konverentsikeskus

  16. Kas Eesti kool on valmis õpilaste sülearvutite kasutuseks? / Piret Luik

    Index Scriptorium Estoniae

    Luik, Piret, 1967-

    2010-01-01

    2008/2009. õppeaastal said Eesti viie kooli 8. klassi õpilased pooleks aastaks enda käsutusse sülearvutid. Projektiga kaasnev uurimus püüdis välja selgitada, milliseid muutusi see õppimises kaasa toob

  17. Jaapanlased näevad Eestis uut turgu / Kazuhisa Sano ; interv. Riina Luik

    Index Scriptorium Estoniae

    Sano, Kazuhisa

    2005-01-01

    Jaapani suurima turismifirma Japan Travel Bureau tegevjuht vastab küsimustele, mis puudutavad Ettevõtluse Sihtasutusega sõlmitud koostöölepet, turismikoostöö arendamist Eestiga, jaapani turistide huvi Soome vastu, muljeid Eestist. Lisa: Jaapanlased Eestis

  18. Keenia hotelliplahvatust peetakse al-Quaida kätetööks / Riina Luik

    Index Scriptorium Estoniae

    Luik, Riina, 1962-

    2002-01-01

    Suitsiiditerroristide rünnakust Iisraeli turiste majutavas Keenia sadama- ja kuurortlinna Mombasa hotellis. Vt. samas: Siseminister Seppik: Keenia puutub ka meisse. Vt. ka sama autori art. lk. 11 Hotellirünnakus Keenias hukkus 15 inimest

  19. Kauglendudel tekkiv turistiklassi sündroom võttis uue ohvri / Riina Luik

    Index Scriptorium Estoniae

    Luik, Riina, 1962-

    2002-01-01

    Austraallanna Rebecca Yalesi surma põhjuseks on oletatavalt turistiklassi sündroom, mis tabab reeglina ruumipuuduse, füüsilise ebamugavuse ja tegevusetuse käes kannatavaid turistiklassi reisijaid. Skeem: Turistiklassi sündroom

  20. Zhenshtshina, razozlivshaja Putina = Naine, kes vihastas Putinit / Astrid Kannel ; interv. Riina Luik

    Index Scriptorium Estoniae

    Kannel, Astrid, 1967-

    2006-01-01

    Ajakirjanik vastab küsimustele, mis puudutavad Võidupäeva pidustuste raames Moskvas toimunud Venemaa presidendi Vladimir Putini pressikonverentsi, ajakirjanikutööd, eraelu ning hobisid. Lisa: Astrid Kannel CV

  1. Alguses oli HELI ja PÄRT, siis Jalaka LAVASTUS / Riina Luik

    Index Scriptorium Estoniae

    Luik, Riina, 1962-

    2010-01-01

    Tõnu Kaljuste ja Peeter Jalaka lavastusest "Alguses oli", lavastuse aluseks Arvo Pärdi teosed "In Principio" ja "Miserere", 17. augustil Noblesse valukojas toimunud etendusest, muusikaline juht Tõnu Kaljuste. Arvo Pärdi pidunädalate ürituste loetelu

  2. Kas õpetajate professionaalne areng saab toimuda e-toel? / Piret Luik

    Index Scriptorium Estoniae

    Luik, Piret, 1967-

    2015-01-01

    Õpetajate professionaalne areng on tõusnud päevakorda kogu Euroopas ja viinud õpetajakoolituse reformimiseni. Tartu ülikooli haridusteaduste instituut koostöös partneritega Euroopa ülikoolidest kutsus personaalsemate e-kursuste loomiseks 2013. aastal ellu Lifelong Learningi projekti „Social Networks in Teacher Education” (SoNetTE)

  3. Selgusid kirjanduse aastapreemiate saajad / Rein Veidemann ; komment. Karl Martin Sinijärv, Viivi Luik

    Index Scriptorium Estoniae

    Veidemann, Rein, 1946-

    2006-01-01

    Eesti Kultuurkapitali aastapreemiad: Kristiina Ehini luulekogu "Kaitseala" ja Jürgen Rooste luulekogu "Ilusaks inimeseks", Piret Raud "Sanna ja salakütid", Merle Karusoo näidend "Misjonärid", Madis Kõivu artiklikogumik "Luhta-minek". Tõlkepreemiad tõlkijatele Anu Saluäär, Heili Einasto, Lembi Loigu, Veronika Kivisilla, Risto Järv. Vabaauhind Käbi Laretei. Artiklipreemia Aare Pilv. Venekeelse autori kirjandusauhind Gohar Markosjan-Käsper, Svetlan Semenenko

  4. Euroopa turismiteenuste kõrge tase innustab ka Eesti ettevõtjaid / Riina Luik

    Index Scriptorium Estoniae

    Luik, Riina, 1962-

    2005-01-01

    6. aprillil autasustati Suurbritannia suursaadiku residentsis Tabasalus esmakordselt turismialal tegutsevaid Eesti väikeettevõtjaid diplomiga "Märk kindlast arengust". Turismiettevõtete kvaliteediprogrammist, Eesti ettevõtete teenuste kvaliteedist. Lisa: Diplomi "Märk kindlast arengust" pälvisid. Kommenteerib projekti nõustaja Roger Evans

  5. Surev luik, ärkavad mälestused ja radioaktiivsus / Kairi Prints

    Index Scriptorium Estoniae

    Prints, Kairi, 1977-

    2010-01-01

    Koreograaf-lavastaja Dmitri Hartšenko loodud Tallinna Tantsuteatri tantsuetendus "Vestlus luigega", koreograaf Jenni Kivelä "Ballroom for Beginners" tantsuteater ZICK, Jo Strømgreni "The Experiment" Jo Strømgren Kompanii esituses

  6. Villu Veski - mees, kes seisab ausa ja eheda muusika eest / Villu Veski ; intervjueerinud Riina Luik

    Index Scriptorium Estoniae

    Veski, Villu, 1962-

    2011-01-01

    7. mail Euroopa päeval koos Exotic European Band-iga esinev muusik räägib kontserdist, 2011. aasta tulevikumuusikafestivalist Juu Jääb ja Tallinn 2011 kultuuriprogrammi kuuluvast kontserditriloogiast "Mere rahvas"

  7. Tänavatants on jõudnud Põlvasse / Joel Juht ; interv. Kadri Luik

    Index Scriptorium Estoniae

    Juht, Joel

    2006-01-01

    2. veebr. toimus Põlva Tervisekeskuse tantsusaalis esimest korda JJ-Street Dance Company poolt korraldatud tänavatantsu treening, mida viisid läbi tantsustuudio looja Joel Juht ja treener Britta Gassmann

  8. Linnapea, keda rõõmustab titekisa / Jüri Ratas ; interv. Riina Luik

    Index Scriptorium Estoniae

    Ratas, Jüri, 1978-

    2006-01-01

    Tallinna linnapea vastab küsimustele, mis puudutavad tema suhtumist opositsiooni kriitikasse, linna juhtimist, perekonda, lapsepõlve, spordiga tegelemist, sõpruskonda, eraettevõtlusest loobumist ning suhteid kirikuga. Lisa: Jüri Ratas (27). Vt. samas lühiintervjuud linnapea abikaasa Karin Ratasega. Kommenteerib Jüri Ratase endine klassijuhataja Nõmme gümnaasiumist, võrkpallitreener Raimund Pundi

  9. Mozarti kadunud autograaf võtab publiku ees kuju / Riina Luik

    Index Scriptorium Estoniae

    Luik, Riina, 1962-

    2011-01-01

    Eesti Ajaloomuuseumis asuvast Mozarti autograafist 27. klaverikontserdi B-duur käsikirjast. Tiina Õuna uurimistööst Mozarti noodikäsikirja teekonna Viinist Tallinna uurimisel. 30. septembril Estonia kontserdisaalis toimuvast kontserdist, kus ettekandele tuleb ka 27. klaverikontsert

  10. Narod i ego vozhdi : [esseed] / Viivi Luik ; vene keelest tõlkinud Marina Tervonen

    Index Scriptorium Estoniae

    Luik, Viivi, 1946-

    1999-01-01

    Sisu: Narod i ego vozhdi ; Tshto s nami budjet ; O perenossimosti sveta ; Moda i modnost ; Shkaptshik tshelovetsheski. Orig.: Rahvas ja tema juhid ; Mis meist saab? ; Valguse tajumise küsimus ; Mood ja moesolemine ; Inimese kapike. Ka raamatust: Trett, Leonid. A. H. Tammsaare, nagu teda tundsin. Tallinn : Perioodika, 1998. (Loomingu Raamatukogu)

  11. Éclairage sur l’année 1896. Éléments chronologiques relatifs à l’introduction du spectacle cinématographique sur les champs de foire français

    OpenAIRE

    Hennion, Jean-Baptiste

    2011-01-01

    L’année 1896 est l’année révélatrice du nouveau spectacle cinématographique. Annoncé par les livres d’histoire du cinéma sur les foires françaises fin août ou début septembre 1896, le cinématographe intègre pourtant les métiers forains quelques mois plus tôt. Il y trouve son réel terrain d’envol. De nombreux montreurs forains, indépendants et possesseurs d’appareils analogues à celui des Lumière décident de présenter cette curiosité scientifique dans leurs baraques. Cette étude inventorie les...

  12. Sexualité des adolescents et concurrence des classes sociales : étude comparative entre les États-Unis et les Pays-Bas depuis les années 1880

    NARCIS (Netherlands)

    Wouters, Cas

    2014-01-01

    Cette étude a pour but de comparer l’évolution du processus sociologique des bonnes sociétés néerlandaises et américaines depuis les années 1880, alors que les usages pour faire la cour étaient encore sous le contrôle strict des parents. Elle décrit de quelle manière le système de rendez-vous aux

  13. Anneli Remme soovitab : Bachi Missa h-moll / Anneli Remme

    Index Scriptorium Estoniae

    Remme, Anneli, 1968-

    2006-01-01

    Eesti Filharmoonia Kammerkoori ja taani vanamuusikaorkestri Concerto Copenhagen kontserdist 12. apr. Vanemuise kontserdimajas, 13. apr. Jõhvi kontserdimajas, 14. apr. Estonia kontserdisaalis ja 15. apr. Pärnu kontserdimajas

  14. Anneli Remme soovitab : Kuressaare Kammermuusika Päevad / Anneli Remme

    Index Scriptorium Estoniae

    Remme, Anneli, 1968-

    2002-01-01

    Kuressaare kaheksandast kammermuusika festivalist 6.-10. augustini Kuressaare Kultuurikeskuse kontserdisaalis, Muusikakooli kammersaalis, Raekoja saalis ja Kuressaare linnuse kapiitlisaalis. Festivali kunstiline juht Andres Paas

  15. Anneli Remme soovitab : maailmaesiettekanne Eesti Filharmoonia Kammerkoorilt / Anneli Remme

    Index Scriptorium Estoniae

    Remme, Anneli, 1968-

    2002-01-01

    13. sept. Rakvere kirikus ja 14. sept. Tallinna Metodisti kirikus toimuvast Eesti Filharmoonia Kammerkoori kontserdist, kus esitusele tuleb Howard Skemptoni "Rise up, my love". Kontserdil kõlab ka Britteni, Tippetti, Pärdi, Desprez' ja Gesualdo muusika

  16. Anneli Remme soovitab : Fiesta de la quitarra / Anneli Remme

    Index Scriptorium Estoniae

    Remme, Anneli, 1968-

    2008-01-01

    Festivalist "Fiesta de la quitarra" 30.okt.-21.nov. Vanemuise kontserdimajas, Mederi saalis, Kuressaare linnuses, Maardu mõisas, Mooste mõisas, Eesti Muusika- ja Teatriakadeemias, Tartu Jaani kirikus, Pärnu hotellis Victoria jm

  17. Inimesed meie ümber / Anne-Ly Sova

    Index Scriptorium Estoniae

    Sova, Anne-Ly, 1976-

    2007-01-01

    Münchenis toimunud teatrifestivali "Spielart" mõnest etendusest: Stefan Kaegi ja Lola Ariase dokumentaallavastus "SOKO Sao Paulo", Tim Etchellsi ja Belgia trupi Victoria "That Night Follows Day", Alvis Hermanise "Väter"

  18. Anneli Remme soovitab : Ajaloo ilu - Johann Sebastian Bach / Anneli Remme

    Index Scriptorium Estoniae

    Remme, Anneli, 1968-

    2005-01-01

    Agentuuri Corelli Music ja Eesti Klavessiinisõprade Tsunfti korraldatavast klavessiinikontsertide sarjast "Ajaloo ilu - Johann Sebastian Bach" (avakontserdid 17. sept. Kadrioru lossis, 18. sept. Pärnu Eliisabeti kirikus)

  19. Anneli Remme soovitab : Prima la donna / Anneli Remme

    Index Scriptorium Estoniae

    Remme, Anneli, 1968-

    2002-01-01

    Rahvusooperis Estonia etenduvad 25. mail Straussi ooper "Salome", 23. mail ballett "Cassandra", 24. mail de Falla hispaania-eksootiline ooper "Lühike elu", 25. mail Carl Orffi "Tark naine", 26. mail Shtshedrini ballett "Anna Karenina" ja Bizet' ooper "Carmen"

  20. Comparative ANNs with Different Input Layers and GA-PLS Study for Simultaneous Spectrofluorimetric Determination of Melatonin and Pyridoxine HCl in the Presence of Melatonin’s Main Impurity

    Directory of Open Access Journals (Sweden)

    Amer M. Alanazi

    2013-01-01

    Full Text Available Melatonin (MLT has many health implications, therefore it is important to develop specific analytical methods for the determination of MLT in the presence of its main impurity, N-{2-[1-({3-[2-(acetylaminoethyl]-5-methoxy-1H-indol-2-yl}methyl-5-methoxy-1H-indol-3-yl]ethyl}acetaamide (DMLT and pyridoxine HCl (PNH as a co-formulated drug. This work describes simple, sensitive, and reliable four multivariate calibration methods, namely artificial neural network preceded by genetic algorithm (GA-ANN, principal component analysis (PCA-ANN and wavelet transform procedures (WT-ANN as well as partial least squares preceded by genetic algorithm (GA-PLS for the spectrofluorimetric determination of MLT and PNH in the presence of DMLT. Analytical performance of the proposed methods was statistically validated with respect to linearity, accuracy, precision and specificity. The proposed methods were successfully applied for the assay of MLT in laboratory prepared mixtures containing up to 15% of DMLT and in commercial MLT tablets with recoveries of no less than 99.00%. No interference was observed from common pharmaceutical additives and the results compared favorably with those obtained by a reference method.

  1. Optimization of microwave-assisted extraction of total extract, stevioside and rebaudioside-A from Stevia rebaudiana (Bertoni) leaves, using response surface methodology (RSM) and artificial neural network (ANN) modelling.

    Science.gov (United States)

    Ameer, Kashif; Bae, Seong-Woo; Jo, Yunhee; Lee, Hyun-Gyu; Ameer, Asif; Kwon, Joong-Ho

    2017-08-15

    Stevia rebaudiana (Bertoni) consists of stevioside and rebaudioside-A (Reb-A). We compared response surface methodology (RSM) and artificial neural network (ANN) modelling for their estimation and predictive capabilities in building effective models with maximum responses. A 5-level 3-factor central composite design was used to optimize microwave-assisted extraction (MAE) to obtain maximum yield of target responses as a function of extraction time (X 1 : 1-5min), ethanol concentration, (X 2 : 0-100%) and microwave power (X 3 : 40-200W). Maximum values of the three output parameters: 7.67% total extract yield, 19.58mg/g stevioside yield, and 15.3mg/g Reb-A yield, were obtained under optimum extraction conditions of 4min X 1 , 75% X 2 , and 160W X 3 . The ANN model demonstrated higher efficiency than did the RSM model. Hence, RSM can demonstrate interaction effects of inherent MAE parameters on target responses, whereas ANN can reliably model the MAE process with better predictive and estimation capabilities. Copyright © 2017. Published by Elsevier Ltd.

  2. La Croissance Economique De L’Economie Turque Aux Débuts Du XXIe Siècle Et Les Buts Economiques Pour L’Année 2023

    Directory of Open Access Journals (Sweden)

    Mustafa ÖZATEŞLER

    2013-09-01

    Full Text Available La Turquie pratique une économie au plan. Les taux de croissance économique de laTurquie doivent être élevés afin de diminuer l’écart avec les pays développés. Dans lesAnnées de 2000-2014, on examine les taux de croissance économique en Turquie, et, onpense que l’économie turque s’élève au niveau des économies des pays développés.Nous étudions les buts à long terme de la Turquie pour l’Année 2023 et on essaie dedéterminer le niveau de réalisation de ces buts. C’est la raison pour laquelle, nousexaminons les années de 2000-2012. En conclusion, on constate que l’économie turque sedéveloppe rapidement. Cependant, cela ne sera pas possible à l’avenir proche pours’élever au niveau des pays développés. Il faut que les hommes vivant en Turquie doiventtravailler d’une façon sérieuse, productive et efficace.

  3. A temível simetria do vampiro: interstício de significação entre William Blake e Anne Rice

    Directory of Open Access Journals (Sweden)

    Andrio J. R. dos Santos

    2017-07-01

    Full Text Available No romance The Tale Of The Body Thief (1991, Anne Rice aborda o poema iluminado The Tyger, de William Blake, como uma forma de discutir o tema do mal, assim como a malignidade que o vampiro protagonista, Lestat, reconhece em si mesmo. Tal questão é explorada a partir da possibilidade do personagem recuperar sua humanidade, uma vez que ele foi transformado em vampiro à força. Desse modo, pretendo desenvolver um estudo investigativo acerca das significações intercambiáveis entre as obras de Rice e Blake. Para dar conta desse problema de pesquisa, trabalho a partir das concepções teóricas da tradução intersemiótica. Sigo pela via proposta por autores como Diniz (1998, Clüver (2006 e Plaza (2008, que compreendem tradução intersemiótica essencialmente como um diálogo de significados intermídia e sempre em expansão.Tal concepção permite investigar e discutir a maneira como Rice reinterpreta, traduz e recria as significações da poesia e da pintura blakeanas em seu romance. A partir de tais aparatos teóricos, é possível considerar que o poema de Blake é semioticamente traduzido por Rice em duas instâncias. Na primeira delas, The Tyger opera como uma metáfora para a natureza do próprio vampiro Lestat, um predador terrível e belo, sublime em sua própria imagem. Na segunda instância, The Tyger relaciona-se com o romance de forma remissiva, diretamente ativa em relação à construção do enredo da obra.

  4. ANN-QSAR model for virtual screening of androstenedione C-skeleton containing phytomolecules and analogues for cytotoxic activity against human breast cancer cell line MCF-7.

    Science.gov (United States)

    Prakash, Om; Khan, Feroz; Sangwan, Rajender Singh; Misra, Laxminarain

    2013-01-01

    The present study deals with the development of an artificial neural network based quantitative structure activity relationship (QSAR) model for virtual screening of active compounds which contain androstenedione carbonskeleton or their similar skeleton at the core. An empirical data modeling (with fitted data mapping) has been performed on the basis of bioassay record for human breast cancer cell line MCF7. The whole experimental data set was considered as test set. Standard feed-forward back-propagation neural network technique was applied to build the model. Leave-One- Out (LOO) cross-validation was performed to evaluate the performance of the model. The mapped model became the basis for selection best mapped compounds followed by development of Pharmacophore specific secondary QSAR model. In the present study, two best mapped molecules '4beta-hydroxy Withanolide-E' and '7, 8-Dehydrocalotropin' were used for development of the secondary QSAR model. These secondary-QSAR models were resulted with R2 LOOCV value 0.9845 and 0.9666 respectively. Docking studies, in silico phamacokinetic and toxicity analysis was also done for selected compounds. The screened compounds CID_73621, CID_16757497, CID_301751, CID_390666 and CID_46830222 were found with promising binding affinity value with aromatase with reference to the co-crystallized control compound androstenedione. Due to excellent extent of variance coverage in ANN based QSAR map model, it can be used as a robust non-linear QSAR model for androstenedione carbon-skeleton containing molecules and the protocol can be used to derive secondary QSAR models for other compounds set.

  5. Pizarre n'est pas arrivé au Pérou durant une année El Niño

    Directory of Open Access Journals (Sweden)

    1990-01-01

    Full Text Available Un examen attentif des sources historiques provenant des témoins oculaires de l’arrivée de Pizarre dans le Nord du Pérou ne permet pas de retenir l’hypothèse, proposée récemment par Quinn et collaborateurs, que 1531-32 aient été des années El Niño. Durant le voyage antérieur des Conquistadores, en 1525-26, il n’apparaît pas non plus d'indice clair de manifestation de ce phénomène. PIZARRO NO LLEGÓ AL PERÚ DURANTE UN AÑO EL NIÑO. Un cuidadoso examen de los informes de testigos oculares de la llegada de Pizarro en el Norte del Perú, en 1531-32, permite descartar la hipótesis, propuesta recientemente por Quinn y colaboradores, que ésta haya ocurrido durante un episodio El Niño. Durante el viaje anterior de los Conquistadores, en 1525-26, no hay indicios claros que se haya producido tal fenómeno tampoco. PIZARRO DID NOT ARRIVE IN PERU DURING AN EL NIÑO YEAR. A careful study of the reports of the eyewitnesses of the arrival of Pizarro in Peru leads to reject the hypothesis that 1531-32 were El Niño years, as proposed in a recent paper by Quinn and collaborators. During the previous attempt of the Conquistadores to reach Peru, in 1525-26, no clear cut evidence has been found that an El Niño event was occurring.

  6. opeNBaroque / Anneli Remme

    Index Scriptorium Estoniae

    Remme, Anneli, 1968-

    2002-01-01

    Avatud muusika festivalist 31. jaan.-9. veebr. Estonia kontserdisaalis, Vanemuise kontserdimajas, Niguliste kirikus, Tallinna raekojas, Räpina rahvamajas, Viljandi kultuurimajas, Põltsamaa kultuurikeskuses ja Pärnu Agape keskuses. Kunstiline juht Andres Mustonen

  7. Milton Eestis, 1895 / Anne Lange

    Index Scriptorium Estoniae

    Lange, Anne, 1962-

    2015-01-01

    Timotheos Kuusiku Miltoni poeemide "Paradise lost" ja "Paradise regained" tõlgetest - uuritakse teose retseptsiooni, tekstide kättesaadavust ja Kuusiku omakirjutusi, kõrvutatakse tõlget võimalike algvariantidega ning tutvustatakse tõlkijat ja ajaloolist konteksti

  8. TERRAIN, ANNE ARUNDEL COUNTY, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Terrain data, as defined in FEMA Guidelines and Specifications, Appendix N: Data Capture Standards, describes the digital topographic data that was used to create...

  9. SURVEY, ANNE ARUNDEL COUNTY, MD

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The field survey data for this coastal study includes a field report that exhibits photos and transect information collected in the field survey phase of the study....

  10. Kirchhoffi avatud kunst / Anne Lõugas

    Index Scriptorium Estoniae

    Lõugas, Anne, 1951-

    2000-01-01

    USAs elava eesti päritoluga kunstniku Madli Kirchhoffi heategev isiknäitus Kastellaanimaja galeriis. Abikaasa Edward Kirchhoffiga on kunstnik rajanud sihtasutuse Lihulast pärit noorte õpingute toetamiseks, kinkis taasomandatud Lihula mõisa fondile Keskaegne Lihula

  11. Internet nagu postiteenus / Anneli Ammas

    Index Scriptorium Estoniae

    Ammas, Anneli, 1962-

    2004-01-01

    Majandus- ja kommunikatsiooniminister Meelis Atoneni sõnul peaks Interneti-teenus muutuma sarnaseks postiteenusega, millel on ühtne hind üle Eesti. Bill Gates on huvitatud Eesti ettepanekust pakkuda Eesti kodutarbijale tarkvara tervikpaketist vaid seda osa, mida tarbija tegelikult kasutab

  12. Teater. Muusika. Nyyd / Anneli Remme

    Index Scriptorium Estoniae

    Remme, Anneli, 1968-

    2005-01-01

    ERSO ja NYYD Ensemble'i ühiskontserdil esitatud Brett Deani "Kontserdist vioolale ja orkestrile" ja teosest "Game Over", Küberstuudio etendusest "Lend-ajad", hispaania laulja Fatima Miranda kontsertetendusest "Diapassion", Michel van der Aa kammerooperist "One" rahvusvahelise uue muusika festivali "NYYD 2005" raames

  13. Muljeid rajajoonelt. Tagasivaade / Anneli Viilup

    Index Scriptorium Estoniae

    Viilup, Anneli

    2011-01-01

    Taavi Piibemanni ja Toomas Thetloffi võistlusnäitus "For Money, not Love" Tallinnas ArtDepoo galeriis 21.01.-24.02.2011. Võistluse võidab kunstnik, kes on suutnud 24. veebruariks oma loominguga rohkem eurosid teenida

  14. PODAAC-PATHF-ANN50

    Data.gov (United States)

    National Aeronautics and Space Administration — Multichannel sea surface temperature (SST) products have been constructed operationally from the five-channel AVHRR by NOAA's National Environmental Satellite, Data,...

  15. Laulupeost kaks filmi / Anneli Ammas

    Index Scriptorium Estoniae

    Ammas, Anneli, 1962-

    2004-01-01

    Tänavusest laulu- ja tantsupeost on Allfilmilt tellinud filmi Prantsuse-saksa telekanal ARTE. USA jaoks teeb filmi "Laulev revolutsioon" USA kompanii Mountain View Production eesti päritolu režissöör Jim Dusty

  16. n + 1 = X / Anneli Porri

    Index Scriptorium Estoniae

    Porri, Anneli, 1980-

    2003-01-01

    Mitmiklus kunstis. Mõistetest multiple ja multiplication, mis ei määratle tehnikat ja eseme kogu tiraaž võib olla valmistatud kunstniku või teostaja poolt. Üks võimalus: kutsuda multiple-esemeid "hulgised". Hulgise vahekord ready-made'i ja tarbedisainiga

  17. Randevuu Gert Sarvega / Anne Vetik

    Index Scriptorium Estoniae

    Vetik, Anne

    2007-01-01

    Nõmme betooneramu eest ETV Kultuurisaate OP 2006. a. kultuuripreemia pälvinud arhitektist Gert Sarvest, tema töödest (restorani "Pegasus" sisekujundus, koos Margus Tammiku ja Tarvo Hanno Varresega, 2000; kahepereelamu Herne t. 9, 2003; betooneramu Nõmmel, koos Lauri Laisaare ja Indrek Undiga, 2006), arhitekti uuest valmivast büroost, lemmiklinnast jm. G. Sarve kommentaarid

  18. Miljarditrahv Eesti kohal / Anne Oja

    Index Scriptorium Estoniae

    Oja, Anne, 1970-

    2003-01-01

    Ilmunud ka: Delovõje Vedomosti 12. nov. lk. 4. Euroopa Komisjoni kavatsusest maksustada Eestis Euroopa Liiduga liitumisel üle normi ladustatud toiduained kolmandatele riikidele kehtivate tollimääradega. Tiit Tammsaare, Taavi Veskimägi ja Hendrik Hololei arvamused. Ettevõtjad ei tea varude norme. Diagramm: Toiduainete sissevedu juba kasvab. Nimekiri: ELi poolt maksustatavad varud

  19. ORTHOIMAGERY, Anne Arundel County, MD

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  20. Elu ilma koduta / Anne Metsis

    Index Scriptorium Estoniae

    Metsis, Anne, 1958-

    2012-01-01

    Kodutuks jäämise põhjustest ning Tallinna varjupaikadest ja öömajadest räägivad Tallinna Sotsiaaltöö Keskuse Kopli üksuse juht Piret Põder ja Tallinna Sotsiaaltöö Keskuse resotsialiseerivate sotsiaalteenuste juht Eve Lääts